timestamp,file,schema_version,scenario_name,model,style_id,style,num_choices,answer,correct_letter,is_correct,question,context,choice_A,choice_B,choice_C,choice_D,choice_E,choice_F,choice_G,choices_json,gt_reason 2025-11-01T17:49:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Airport_Perimeter_Border_Patrol_with_Swarm_Drones_in_Hail_be9eb807d816_mcq.json,uavbench-mcq-v1,Airport_Perimeter_Border_Patrol_with_Swarm_Drones_in_Hail,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Which route adjustment maintains 10m separation, avoids the drifting obstacle at 200s, and stays within 30–120m AGL under 8 m/s winds?","This mission involves a swarm of four drones conducting a border patrol around an airport perimeter. The operation takes place in controlled airspace near an active runway, with a defined geofence and a cylindrical no-fly zone over a critical area. Weather conditions include strong 8 m/s winds from 240 degrees, gusts up to 4 m/s, poor visibility, and ongoing hail, which impacts flight stability and sensor performance. Each drone is a battery-powered hexacopter equipped with RGB and thermal cameras, LIDAR, GNSS, IMU, barometer, and magnetometer. The swarm must maintain a minimum 10-meter separation between drones and avoid violating altitude limits between 30 and 120 meters AGL. A moving spherical obstacle drifts through the patrol corridor, requiring dynamic avoidance. GNSS multipath effects and periodic communication losses occur, challenging navigation and control. An icing event at 200 seconds degrades performance for one minute, increasing power demand. The mission must complete within 600 seconds, with success measured by route completion, safety, and battery endurance.",Climb to 125m AGL to clear obstacle early,Descend to 25m AGL and proceed direct,"Delay by 10s, then fly left detour at 90m AGL",Maintain current heading and increase speed by 30%,Turn right with 50m radius at 80m AGL now,Hold position for 15s until obstacle passes,Execute symmetric lateral shift at 75m AGL with 10m buffer,"[""Climb to 125m AGL to clear obstacle early"", ""Descend to 25m AGL and proceed direct"", ""Delay by 10s, then fly left detour at 90m AGL"", ""Maintain current heading and increase speed by 30%"", ""Turn right with 50m radius at 80m AGL now"", ""Hold position for 15s until obstacle passes"", ""Execute symmetric lateral shift at 75m AGL with 10m buffer""]","Option G ensures safe lateral clearance of the moving obstacle while remaining within the 30–120m AGL band and preserving swarm separation. It accounts for GNSS drift and wind-induced drift without introducing excessive delay or energy use. Other options violate altitude limits, reduce safety margins, or increase collision risk due to poor visibility and sensor degradation." 2025-11-01T17:49:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Convoy_Escort_in_Sandstorm_401e5f83775c_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Convoy_Escort_in_Sandstorm,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,"During a 45-second GNSS jam and motor failure, which UAV configuration maintains convoy position with minimal drift and obstacle avoidance?","Amphibious UAV convoy escort mission in a suburban area with a sandstorm reducing visibility. Strong winds up to 16 m/s from the southwest increase with altitude and shift direction. The UAV is a hybrid amphibious fixed-wing with six rotors, carrying RGB and thermal cameras, LiDAR, and radar. It operates within a defined airspace from 10 to 120 meters AGL, avoiding a static no-fly zone and a moving obstacle. A dynamic no-fly zone shifts southwest, requiring real-time path adaptation. The swarm consists of three UAVs maintaining 20-meter separation, with roles of leader, follower, and scout. GNSS signals suffer from multipath and jamming, and electromagnetic interference impacts navigation. A 45-second GNSS jamming event and a partial motor failure challenge system resilience. Communication experiences uplink loss during two time windows, relying on autonomous decision-making.",Leader with full sensor suite and dual IMUs for redundancy,Follower using LiDAR-only navigation to reduce EMI susceptibility,Scout relying on GNSS-aided optical flow during sandstorm,Follower with radar disabled to save power during jamming,Leader using rotor-only control after fixed-wing actuator failure,Scout using predictive pathing without real-time LiDAR updates,Follower maintaining formation via intermittent uplink pings,"[""Leader with full sensor suite and dual IMUs for redundancy"", ""Follower using LiDAR-only navigation to reduce EMI susceptibility"", ""Scout relying on GNSS-aided optical flow during sandstorm"", ""Follower with radar disabled to save power during jamming"", ""Leader using rotor-only control after fixed-wing actuator failure"", ""Scout using predictive pathing without real-time LiDAR updates"", ""Follower maintaining formation via intermittent uplink pings""]","The leader with dual IMUs sustains navigation accuracy during GNSS denial and supports sensor fusion for obstacle avoidance. Full sensor suite ensures resilience to sandstorm and EMI. Other options sacrifice critical capabilities like radar, real-time adaptation, or power distribution, increasing collision or drift risk." 2025-11-01T17:49:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Convoy_Escort_at_Airport_Perimeter_0825e6675d72_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Convoy_Escort_at_Airport_Perimeter,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,UAV must maintain 30 m altitude and 25 m separation in 8 m/s winds while avoiding a central no-fly zone.,"Amphibious UAV conducts a convoy escort mission along the airport perimeter. Flight occurs within a defined rectangular airspace bounded by geofences. Weather includes strong 8 m/s winds from the west, gusts up to 4.5 m/s, and poor visibility due to dust. The UAV is a hybrid amphibious type with VTOL and fixed-wing capabilities, equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. Payload includes surveillance equipment weighing 1.2 kg. A no-fly zone cylinder is present near the center of the airspace, requiring careful path planning. The mission requires maintaining separation of at least 25 meters from other traffic and obstacles, with a 15-second time-to-contact threshold. GNSS multipath effects may occur near airport infrastructure, affecting positioning accuracy. The UAV must follow a corridor pattern at 30 meters altitude, starting from a predefined spawn point and aligning with runway operations. Battery endurance and adherence to altitude and geofence constraints are critical for mission success.",Fly directly through the no-fly zone center,Descend to 20 m to reduce wind exposure,"Follow geofenced corridor, adjusting heading for wind drift",Circle the no-fly zone at 25 m radius,Climb to 50 m for better GNSS reception,Hover at waypoints to ensure obstacle detection,Skip final waypoint to conserve battery,"[""Fly directly through the no-fly zone center"", ""Descend to 20 m to reduce wind exposure"", ""Follow geofenced corridor, adjusting heading for wind drift"", ""Circle the no-fly zone at 25 m radius"", ""Climb to 50 m for better GNSS reception"", ""Hover at waypoints to ensure obstacle detection"", ""Skip final waypoint to conserve battery""]","Option C maintains the required 30 m altitude and respects geofence and no-fly zone boundaries. It compensates for 8 m/s west winds by adjusting heading to ensure accurate tracking within the corridor. Other options violate altitude, proximity, or mission sequence constraints." 2025-11-01T17:49:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Aerial_Mapping_Dense_Urban_dbe440459e89_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Aerial_Mapping_Dense_Urban,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,B,False,"Which path safely navigates the UAV through five waypoints at 10–120 m AGL, avoids static/dynamic NFZs, and returns within 600 seconds despite 11 m/s westerly winds?","This is an aerial mapping mission in a dense urban environment using an amphibious fixed-wing VTOL UAV equipped with RGB camera and LiDAR payload. The UAV operates within a 10–120 m AGL altitude range inside a defined polygonal geofence, avoiding static and moving no-fly zones. A central cylindrical NFZ near the area center restricts access between 10–80 m, while a dynamic NFZ drifts slowly west-northwest. The mission follows a corridor pattern with five waypoints, requiring runway-assisted transitions between VTOL and forward flight. Strong westerly winds increase with altitude, reaching 11 m/s at 100 m, with gusts and thermal updrafts creating turbulence. GNSS signals suffer from multipath effects and moderate jamming, and electromagnetic interference may affect sensor performance. The UAV must maintain separation from two other UAVs and a moving spherical obstacle. Communication experiences brief uplink/downlink dropouts at specific intervals. Battery endurance is limited, requiring efficient path planning within the 600-second time budget. The UAV must avoid geofence breaches, maintain safe separation, and return to the designated landing zone near the start point.","Climb rapidly to 120 m, fly direct above all NFZs, descend to waypoint 5","Follow corridor pattern at 90 m AGL, slight north detour around drifting NFZ",Descend to 8 m AGL between waypoints to evade NFZs and turbulence,"Skip waypoint 3, reroute east to save time against headwinds","Fly westward legs at 100 m, use tailwinds on return at 50 m AGL",Hover at each waypoint for 20 seconds to stabilize GNSS lock,Cut diagonally through central cylinder NFZ at 75 m AGL to shorten path,"[""Climb rapidly to 120 m, fly direct above all NFZs, descend to waypoint 5"", ""Follow corridor pattern at 90 m AGL, slight north detour around drifting NFZ"", ""Descend to 8 m AGL between waypoints to evade NFZs and turbulence"", ""Skip waypoint 3, reroute east to save time against headwinds"", ""Fly westward legs at 100 m, use tailwinds on return at 50 m AGL"", ""Hover at each waypoint for 20 seconds to stabilize GNSS lock"", ""Cut diagonally through central cylinder NFZ at 75 m AGL to shorten path""]","Option B maintains safe altitude (90 m AGL) within operational band, avoids central NFZ (10–80 m) and dynamically drifting zone via north detour. It follows efficient corridor pattern with wind-aware routing, preserving battery and timeline. Other choices violate NFZs, waste time, or breach AGL limits." 2025-11-01T17:49:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_BVLOS_Snowfall_Mission_Offshore_18684cf11e0e_mcq.json,uavbench-mcq-v1,Amphibious_UAV_BVLOS_Snowfall_Mission_Offshore,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 250s, icing reduces performance for 60s with GNSS degraded and visibility <500m in snow. Which navigation strategy maintains corridor integrity?","This is a BVLOS inspection mission using an amphibious fixed-wing VTOL UAV operating offshore near an oil platform. The UAV is equipped with a multi-sensor payload including RGB and thermal cameras, LiDAR, radar, and full navigation suite. The mission takes place in poor visibility due to snowfall and icing conditions, with moderate to strong winds increasing with altitude and shifting direction. The UAV must navigate within a defined corridor between 10 and 300 meters AGL, avoiding static and moving no-fly zones, including a dynamic obstacle and a central cylindrical restricted zone. GNSS signals are degraded due to multipath effects and moderate jamming, while electromagnetic interference further challenges avionics. The UAV must maintain separation from other traffic, with a minimum safe distance of 50 meters and a time-to-collision threshold of 20 seconds. Icing conditions are expected during flight, reducing performance for one minute starting at 250 seconds into the mission. Communication links experience brief outages, requiring resilient data transmission and onboard decision-making. The mission concludes with a required runway landing, constrained by approach path and energy management within a tight time budget.",Rely solely on GNSS with Kalman smoothing,Switch to pure IMU dead reckoning for 60s,Fuse LiDAR and radar with attitude-corrected IMU,Descend to 5m AGL to avoid wind shear,Use thermal-RGB optical flow for position hold,Follow magnetic heading ignoring wind drift,Trust radar altimeter over barometric sensor,"[""Rely solely on GNSS with Kalman smoothing"", ""Switch to pure IMU dead reckoning for 60s"", ""Fuse LiDAR and radar with attitude-corrected IMU"", ""Descend to 5m AGL to avoid wind shear"", ""Use thermal-RGB optical flow for position hold"", ""Follow magnetic heading ignoring wind drift"", ""Trust radar altimeter over barometric sensor""]",LiDAR provides precise terrain-relative data but suffers in snow; radar penetrates precipitation and detects obstacles. Fusing radar with LiDAR and IMU compensates for GNSS degradation and maintains vertical and horizontal accuracy. This strategy preserves situational awareness and corridor adherence despite icing and multipath. 2025-11-01T17:49:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Corridor_Follow_in_Dense_Urban_Hail_1949478c3be7_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Corridor_Follow_in_Dense_Urban_Hail,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"Which path adjustment at 200s maintains AGL 10–120m, avoids moving obstacle, and preserves 30% battery under icing and GNSS drift?","This mission involves an amphibious fixed-wing VTOL UAV conducting a corridor survey in dense urban airspace. The UAV operates within a defined geofenced area between 10 and 120 meters AGL, avoiding static and moving no-fly zones. Weather conditions include strong winds up to 11 m/s, gusts, poor visibility, and active hail, increasing flight risk. The UAV is equipped with a full sensor suite including GNSS, IMU, LIDAR, radar, and RGB camera, but faces GNSS multipath, jamming, and electromagnetic interference. A dynamic no-fly zone and a moving spherical obstacle challenge real-time path planning. The UAV must complete a back-and-forth corridor pattern within 600 seconds, transitioning between hover and forward flight. Battery capacity is limited to 450 Wh with a 30% reserve, and an icing event occurs at 200 seconds, reducing performance. Communication experiences brief downlink losses, requiring robust autonomy. Separation from other traffic must be maintained above 25 meters with a time-to-closest-approach threshold of 15 seconds. The mission emphasizes navigation resilience, energy management, and fault tolerance in harsh, complex urban conditions.",Climb to 130m AGL for clearer GNSS signal and straight path,Descend to 8m AGL to avoid wind gusts and reduce drag,Hold hover for 40s to wait out hail before resuming corridor,"Bank 45° left, descend to 95m, and arc 75m around obstacle",Cut through dynamic NFZ center to save 90s transit time,"Extend glide slope to 6°, reducing speed by 18% for stability",Turn 180° and return to base due to sensor degradation,"[""Climb to 130m AGL for clearer GNSS signal and straight path"", ""Descend to 8m AGL to avoid wind gusts and reduce drag"", ""Hold hover for 40s to wait out hail before resuming corridor"", ""Bank 45° left, descend to 95m, and arc 75m around obstacle"", ""Cut through dynamic NFZ center to save 90s transit time"", ""Extend glide slope to 6°, reducing speed by 18% for stability"", ""Turn 180° and return to base due to sensor degradation""]","Option D navigates around the moving obstacle with safe lateral and vertical clearance, staying within the 10–120m AGL band while minimizing energy use. It accounts for GNSS drift with sensor-fused LIDAR/radar guidance and preserves sufficient battery for the return leg after icing reduces efficiency. Other options violate altitude, NFZ, time, or energy constraints." 2025-11-01T17:49:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Airport_Perimeter_Package_Delivery_in_Low_Visibility_d6ee08d6bd37_mcq.json,uavbench-mcq-v1,Airport_Perimeter_Package_Delivery_in_Low_Visibility,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During icing at 150s, GNSS jamming spikes and comms drop at 300s. Which action maintains delivery within 600s with 25m separation?","This is a package delivery mission operating near an airport perimeter. The UAV is an octocopter equipped with thermal camera, radar, and lidar, carrying a 2 kg payload. It operates in poor visibility with icing conditions and moderate winds up to 12 m/s, increasing with altitude and shifting direction. The flight is constrained between 10 m and 120 m AGL within a defined polygon geofence. A static no-fly zone protects a critical area, while a dynamic no-fly zone and a moving obstacle drift westward during the mission. GNSS signals suffer from multipath and moderate jamming, and electromagnetic interference is present. The UAV must avoid conflicts with another traffic vehicle approaching from beyond the perimeter and maintain separation of at least 25 meters with a time-to-closest approach threshold of 15 seconds. An icing event reduces performance between 120 and 180 seconds into the flight. Communication dropouts occur briefly at 300 and 550 seconds, and the mission must complete within 600 seconds to succeed.",Switch to lidar-aided INS and authenticate C2 via AES-256 during dropout,Rely solely on GNSS with increased update frequency to 10 Hz,Disable radar to reduce EMI-induced sensor noise,Upload new route via unencrypted telemetry link,Engage autopilot override using unverified ground commands,Maintain altitude despite wind shift to save battery,Abort mission immediately at first comms loss,"[""Switch to lidar-aided INS and authenticate C2 via AES-256 during dropout"", ""Rely solely on GNSS with increased update frequency to 10 Hz"", ""Disable radar to reduce EMI-induced sensor noise"", ""Upload new route via unencrypted telemetry link"", ""Engage autopilot override using unverified ground commands"", ""Maintain altitude despite wind shift to save battery"", ""Abort mission immediately at first comms loss""]","A ensures control stability by fusing lidar with INS during GNSS denial, preserving navigation integrity. It maintains secure command authentication despite jamming, enabling safe rerouting and mission completion. Other options either compromise security or fail to sustain resilient operation under combined cyber-physical stressors." 2025-11-01T17:49:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_Forest_Search_Mission_935fce21b1da_mcq.json,uavbench-mcq-v1,Amphibious_Forest_Search_Mission,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"An amphibious UAV must search a forested area with 5 waypoints, avoiding a central cylinder and dynamic obstacle, while maintaining 30% battery reserve.","This is a search and rescue mission conducted in a forested airspace using an amphibious UAV equipped for both aerial and ground operations. The UAV operates within a defined rectangular geofenced area, with a minimum altitude of 5 meters AGL and a maximum of 120 meters. A static no-fly zone restricts access to a cylinder near the center, while a dynamic no-fly zone moves through the area, requiring real-time avoidance. The environment features poor visibility due to dust, with moderate to strong winds increasing with altitude and shifting direction. Wind gusts and thermal updrafts introduce turbulence and navigation challenges. The UAV carries an RGB camera and thermal imaging payload for detecting targets, supported by GNSS, IMU, and LiDAR sensors, though GNSS performance is degraded by multipath effects and mild jamming. Electromagnetic interference and periodic communication link losses add to operational constraints. The mission requires the UAV to follow a corridor search pattern through five waypoints, including a low-altitude pass near a central point, while maintaining separation from traffic and moving obstacles. A nearby runway is required for operations, and the UAV must manage energy carefully given battery limitations and a 30% reserve requirement. The scenario emphasizes robust navigation, sensor fusion, and dynamic obstacle avoidance under adverse environmental and signal conditions.",Fly direct at 120m to conserve energy and avoid wind gusts near terrain,Descend to 5m AGL early for thermal scan despite poor visibility and turbulence,Bypass central waypoint to avoid dynamic no-fly zone and reduce risk,Increase speed between waypoints to reduce exposure to wind shear and dust,Loiter at waypoint 3 to await GNSS signal restoration for precise navigation,Share LiDAR updates with ground team via relay to maintain situational awareness,Alternate sensor use to balance power draw and thermal/RBG data collection,"[""Fly direct at 120m to conserve energy and avoid wind gusts near terrain"", ""Descend to 5m AGL early for thermal scan despite poor visibility and turbulence"", ""Bypass central waypoint to avoid dynamic no-fly zone and reduce risk"", ""Increase speed between waypoints to reduce exposure to wind shear and dust"", ""Loiter at waypoint 3 to await GNSS signal restoration for precise navigation"", ""Share LiDAR updates with ground team via relay to maintain situational awareness"", ""Alternate sensor use to balance power draw and thermal/RBG data collection""]","Coordinating sensor data sharing via relay ensures inter-agent situational awareness despite GNSS degradation and communication losses. It enables fused perception between UAV and ground team, improving obstacle avoidance and target detection. Other options either isolate the UAV or violate energy, altitude, or mission progression constraints." 2025-11-01T17:49:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Convoy_Escort_Mountainous_Cold_8f50aec0ea21_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Convoy_Escort_Mountainous_Cold,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"At 200 m AGL, 8°C below freezing, with 15 m/s headwind shifting direction, how should the UAV adjust pitch and airspeed to maintain lift during icing?","This scenario involves an amphibious UAV conducting a convoy escort mission in mountainous terrain under cold weather conditions with icing risks. The UAV operates within a defined airspace corridor between 10 and 250 meters AGL, avoiding static and moving no-fly zones. Strong winds increase with altitude, shifting direction and creating challenging flight dynamics, while thermal updrafts offer potential lift. The UAV is equipped with a battery-powered hybrid rotorcraft-wing design, carrying RGB and thermal cameras for surveillance. Key constraints include GNSS multipath and interference, electromagnetic noise, and temporary comms outages. The mission requires maintaining safe separation from other traffic and dynamic obstacles while navigating around a central NFZ and a drifting exclusion cylinder. The UAV must manage battery reserves carefully, especially during transitions between VTOL and forward flight. Icing conditions occur mid-mission, reducing performance for one minute. A three-UAV swarm operates cooperatively with role specialization, requiring inter-UAV separation of at least 10 meters. The mission concludes with a runway-assisted landing, dependent on successful navigation through complex environmental and operational challenges.",Increase pitch by 3° and reduce airspeed to 22 m/s,Decrease pitch by 2° and increase airspeed to 30 m/s,Hold pitch constant and reduce throttle by 15%,Increase pitch to maximum allowable and hold airspeed,Reduce pitch by 5° and maintain current airspeed,Increase airspeed to 35 m/s and decrease pitch slightly,Roll 10° left while increasing pitch and holding speed,"[""Increase pitch by 3° and reduce airspeed to 22 m/s"", ""Decrease pitch by 2° and increase airspeed to 30 m/s"", ""Hold pitch constant and reduce throttle by 15%"", ""Increase pitch to maximum allowable and hold airspeed"", ""Reduce pitch by 5° and maintain current airspeed"", ""Increase airspeed to 35 m/s and decrease pitch slightly"", ""Roll 10° left while increasing pitch and holding speed""]",Increasing airspeed compensates for reduced lift due to ice-contaminated wings by increasing dynamic pressure. Decreasing pitch slightly prevents exceeding critical angle of attack under degraded aerodynamics. This balances lift generation with drag and stall avoidance under high density altitude and wind shear. 2025-11-01T17:49:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_Border_Patrol_in_Cold_Rural_Area_a54243d58d08_mcq.json,uavbench-mcq-v1,Amphibious_Border_Patrol_in_Cold_Rural_Area,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,"Which UAV configuration best handles icing, GNSS jamming at -95 dBm, and 14.5 m/s winds while maintaining comms and obstacle avoidance?","This mission involves an amphibious UAV conducting a border patrol in a rural, cold environment with icing conditions present. The UAV operates within a defined corridor between 10 and 150 meters AGL, avoiding static and moving no-fly zones. Weather includes strong winds up to 14.5 m/s increasing with altitude, gusts, and electromagnetic interference affecting communications. The UAV is battery-powered with a fixed-wing hybrid design, equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. Key constraints include mandatory runway use, dynamic obstacle avoidance, and a temporary comms loss window. GNSS performance is degraded by jamming at -95 dBm but not multipath. An icing fault event occurs mid-mission, reducing performance for one minute. Air traffic includes a single crossing UAV, requiring DAA compliance with 25-meter separation. The mission emphasizes energy management, environmental resilience, and adherence to airspace boundaries.","Fixed-wing with de-icing, dual GNSS, and mesh comms",Quadcopter with thermal cameras and RTK GPS,Glider with high aspect ratio and LiDAR only,Hybrid VTOL with single GNSS and no de-icing,Fixed-wing with de-icing but no redundant comms,"Rotary UAV with EMI-hardened radio, no LiDAR",Fixed-wing with mechanical de-icing and SATCOM,"[""Fixed-wing with de-icing, dual GNSS, and mesh comms"", ""Quadcopter with thermal cameras and RTK GPS"", ""Glider with high aspect ratio and LiDAR only"", ""Hybrid VTOL with single GNSS and no de-icing"", ""Fixed-wing with de-icing but no redundant comms"", ""Rotary UAV with EMI-hardened radio, no LiDAR"", ""Fixed-wing with mechanical de-icing and SATCOM""]","Option A provides de-icing capability, dual GNSS for jamming resilience, and mesh comms for EMI tolerance, ensuring navigation and communication integrity. It balances energy efficiency, obstacle detection via LiDAR, and compliance with DAA and corridor constraints. Other options lack critical redundancy, environmental protection, or endurance for the mission profile." 2025-11-01T17:49:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Border_Patrol_in_Volcanic_Zone_with_Microburst_Risk_cf8791cf2e23_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Border_Patrol_in_Volcanic_Zone_with_Microburst_Risk,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,Which route optimizes time and safety between waypoints while avoiding the moving no-fly zone at 2.5 m/s and microburst risk above 15 m/s?,"Amphibious UAV conducts border patrol in a volcanic zone with challenging weather and navigation hazards. The mission operates within a defined polygonal airspace with a minimum altitude of 10 meters AGL and maximum of 180 meters. Winds are strong and variable, increasing with altitude up to 15 m/s, with a microburst risk and poor visibility. A fixed-wing amphibious UAV with VTOL capability is used, equipped with RGB and thermal cameras, LiDAR, and full avionics. The UAV must avoid a static no-fly zone centered at (1000, 750) and a moving no-fly zone drifting at 2.5 m/s. GNSS signals are degraded due to multipath and jamming at -75 dBm, with electromagnetic interference present. Thermal updrafts near (1200, 800) create localized turbulence, while wind shear increases control difficulty. The UAV must follow a corridor patrol pattern between four waypoints within a 600-second time budget. It must maintain separation from a moving obstacle and another UAV traffic on a collision course. A runway is required for operations, with communication dropouts scheduled between 240–260 and 500–515 seconds.",Climb to 180 m AGL for faster transit between waypoints,Fly direct at 10 m AGL to minimize exposure to wind shear,"Reroute westward, maintaining 80 m AGL to avoid updrafts and NFZ","Descend to 5 m AGL to escape thermal turbulence near (1200, 800)",Accelerate through the moving NFZ center to save 40 seconds,"Hold position at (900, 700) until communication resumes at 260 s",Follow exact waypoint sequence with 150 m AGL despite GNSS drift,"[""Climb to 180 m AGL for faster transit between waypoints"", ""Fly direct at 10 m AGL to minimize exposure to wind shear"", ""Reroute westward, maintaining 80 m AGL to avoid updrafts and NFZ"", ""Descend to 5 m AGL to escape thermal turbulence near (1200, 800)"", ""Accelerate through the moving NFZ center to save 40 seconds"", ""Hold position at (900, 700) until communication resumes at 260 s"", ""Follow exact waypoint sequence with 150 m AGL despite GNSS drift""]","Option C balances altitude constraints, avoids the moving no-fly zone, and mitigates thermal updraft effects. It uses moderate altitude (80 m) to reduce wind shear impact while allowing sufficient GNSS-reliant navigation accuracy. This path enables adaptive re-routing with safe separation from dynamic hazards and preserves time-to-go budget." 2025-11-01T17:49:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Bridge_Inspection_in_Dense_Urban_Area_with_Thermal_Updrafts_d82830e9046b_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Bridge_Inspection_in_Dense_Urban_Area_with_Thermal_Updrafts,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"Given GNSS jamming and 15m separation needs, which strategy ensures resilient navigation and collision avoidance during the bridge inspection?","This is an amphibious UAV bridge inspection mission in a dense urban environment. The UAV operates within a defined airspace polygon, with altitude limits between 5 and 120 meters AGL. Weather includes moderate winds increasing with altitude, gusts, and thermal updrafts creating localized turbulence. The UAV is a multirotor with fixed-wing features, equipped with RGB and thermal cameras, LiDAR, radar, and full navigation sensors. It must avoid static and dynamic no-fly zones, including a moving obstacle and a drifting restricted cylinder. GNSS signals are degraded due to multipath effects and electromagnetic interference, with mild jamming present. The mission follows a corridor pattern through five waypoints, requiring precise navigation near structures. A single traffic UAV moves across the area, necessitating separation monitoring with a 15-meter threshold. Communication links experience brief outages, and the UAV must complete the mission within 600 seconds. Battery endurance and sensor performance are critical under windy, thermally active conditions.",Rely solely on GNSS with encrypted telemetry,Use LiDAR-aided SLAM with authenticated command channels,Switch to GPS-only mode with radar altimeter backup,Increase waypoint speed to reduce exposure time,Disable thermal camera to save power for comms,Use unencrypted real-time video for obstacle tracking,Follow GNSS with open-loop control during outages,"[""Rely solely on GNSS with encrypted telemetry"", ""Use LiDAR-aided SLAM with authenticated command channels"", ""Switch to GPS-only mode with radar altimeter backup"", ""Increase waypoint speed to reduce exposure time"", ""Disable thermal camera to save power for comms"", ""Use unencrypted real-time video for obstacle tracking"", ""Follow GNSS with open-loop control during outages""]",LiDAR-aided SLAM provides GNSS-denied navigation resilience while maintaining spatial awareness. Authenticated command channels prevent spoofing during communication outages. This ensures control integrity and safe separation despite jamming and urban multipath. 2025-11-01T17:49:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Convoy_Escort_in_Snowy_Suburban_Area_b6089e84d483_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Convoy_Escort_in_Snowy_Suburban_Area,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"At 7 minutes, icing degrades performance; UAV must re-route southwest avoiding moving NFZ while reaching waypoint W3 by 300s within 10–150m AGL.","This mission involves an amphibious UAV conducting a convoy escort in a snowy suburban environment. The UAV operates within an altitude range of 10 to 150 meters AGL, navigating a predefined corridor of waypoints. Weather conditions include moderate snowfall, poor visibility, icing risks, and gusty winds up to 10 m/s with wind shear increasing at altitude. The UAV is a hybrid VTOL with fixed-wing aerodynamics, powered solely by battery, and equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. Key constraints include a static no-fly zone at the center of the area and a moving no-fly zone drifting southwest, requiring real-time avoidance. The scenario features GNSS multipath, moderate jamming, and electromagnetic interference, challenging navigation reliability. A swarm of three UAVs operates cooperatively with minimum 10-meter separation, each assigned leader, follower, or scout roles. The mission must be completed within 600 seconds, includes a required runway-aligned approach, and faces a severe icing event at 7 minutes that degrades performance. Communication dropouts occur briefly at 150 and 300 seconds, and the UAV must manage energy carefully with a 30% reserve requirement.","Climb to 140m AGL, fly direct to W3 via northwest arc","Descend to 12m AGL, proceed straight through static NFZ","Maintain 80m AGL, follow corridor with 25° bank turns","Turn 180°, delay re-entry until moving NFZ clears path","Fly 10m AGL along tree line, skirting both NFZs",Ascend rapidly to 160m AGL to clear wind shear layer,"Adjust heading 220°, descend to 40m AGL, delay W3 by 45s","[""Climb to 140m AGL, fly direct to W3 via northwest arc"", ""Descend to 12m AGL, proceed straight through static NFZ"", ""Maintain 80m AGL, follow corridor with 25° bank turns"", ""Turn 180°, delay re-entry until moving NFZ clears path"", ""Fly 10m AGL along tree line, skirting both NFZs"", ""Ascend rapidly to 160m AGL to clear wind shear layer"", ""Adjust heading 220°, descend to 40m AGL, delay W3 by 45s""]","Maintaining 80m AGL balances wind shear effects and sensor accuracy while staying within safe altitude bounds. The predefined corridor avoids both NFZs and ensures timely W3 arrival by 300s despite icing. Other options violate NFZs, exceed altitude limits, or breach timing and energy constraints." 2025-11-01T17:49:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Aerial_Mapping_at_Airport_Perimeter_with_Microburst_Risk_17fe1f0d6b71_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Aerial_Mapping_at_Airport_Perimeter_with_Microburst_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"With 5 m/s westbound obstacle and 15s TTC threshold, which action maintains separation during grid mapping?","This is an aerial mapping mission using an amphibious fixed-wing UAV equipped with RGB camera and LiDAR payload. The flight occurs near an airport perimeter within a defined polygonal airspace, bounded between 10 and 120 meters AGL. Weather includes strong westerly winds increasing with altitude and a microburst risk, posing significant turbulence challenges. The UAV operates on battery power with moderate endurance and must manage energy carefully due to wind and reserve requirements. A no-fly zone cylinder near the center of the area must be avoided, along with a moving spherical obstacle traveling westward at 5 m/s. GNSS signals are degraded by multipath effects and moderate jamming, while electromagnetic interference may affect sensors. The mission requires maintaining separation from a crossing UAV traffic and adhering to DAA thresholds of 25 meters and 15 seconds TTC. Communication experiences a brief link loss mid-mission, simulating real-world connectivity issues. Flight planning must account for transition times between VTOL and forward flight, and the UAV must eventually return near the runway threshold. Success depends on completing the grid pattern within the time limit while avoiding collisions, geofence breaches, and low battery.",Climb to 120m AGL to overfly moving obstacle quickly,Delay grid start by 90 seconds to reset communication link,Adjust track spacing to 80m for better LiDAR coverage overlap,Turn eastward immediately upon obstacle detection without coordination,Synchronize speed with crossing UAV to match 11 m/s closure rate,Descend to 10m AGL and proceed at reduced forward airspeed,Shift grid pattern east by 60m to maintain 25m DAA buffer,"[""Climb to 120m AGL to overfly moving obstacle quickly"", ""Delay grid start by 90 seconds to reset communication link"", ""Adjust track spacing to 80m for better LiDAR coverage overlap"", ""Turn eastward immediately upon obstacle detection without coordination"", ""Synchronize speed with crossing UAV to match 11 m/s closure rate"", ""Descend to 10m AGL and proceed at reduced forward airspeed"", ""Shift grid pattern east by 60m to maintain 25m DAA buffer""]","Shifting the grid east maintains the required 25m DAA buffer while preserving mission timing and sensor coverage. It coordinates spatial separation from the moving obstacle without disrupting communication or energy margins. Other options either violate TTC thresholds, increase collision risk, or degrade overall team situational awareness." 2025-11-01T17:49:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Delivery_in_Sandstorm_at_Underground_Mine_d9490dfd2e62_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Delivery_in_Sandstorm_at_Underground_Mine,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"Which path reaches (90, 70, 5) within 600 s, avoids both NFZs moving at 8.5 m/s from 140°, and maintains >30% battery?","This mission involves an amphibious UAV conducting a delivery in a confined underground mine with poor visibility due to an active sandstorm. The UAV operates within a low-altitude corridor between 1 and 25 meters AGL, navigating a rectangular geofenced area with static and moving no-fly zones. Strong winds at 8.5 m/s with gusts up to 4.2 m/s blow from 140 degrees, increasing flight difficulty. The UAV is a battery-powered hexacopter with fixed-wing aerodynamics, equipped with GNSS, IMU, lidar, and RGB camera for navigation and payload delivery. It carries a 0.5 kg payload and must avoid a stationary cylindrical NFZ near the center and a drifting dynamic NFZ moving southwest. A second UAV and a moving spherical obstacle traverse the airspace, requiring real-time separation management with a 5-meter minimum distance threshold. Communication experiences two brief loss windows, potentially disrupting command and telemetry links. The flight must conclude within 600 seconds, reaching the delivery waypoint at (90, 70, 5) while maintaining battery reserves above 30%. Challenges include GNSS signal degradation from multipath in the mine, limited maneuvering space, and sensor performance degradation in sandstorm conditions.","Fly direct at 2 m AGL, ignore gust adjustments","Climb to 25 m AGL, overfly cylindrical NFZ","Follow southwest-drifting NFZ edge, low altitude","Reroute east, then south, staying 1–25 m AGL",Descend to 1 m AGL and accelerate through center,"Match wind heading to reduce drift, delay delivery","Use lidar to track moving UAV, cut between obstacles","[""Fly direct at 2 m AGL, ignore gust adjustments"", ""Climb to 25 m AGL, overfly cylindrical NFZ"", ""Follow southwest-drifting NFZ edge, low altitude"", ""Reroute east, then south, staying 1–25 m AGL"", ""Descend to 1 m AGL and accelerate through center"", ""Match wind heading to reduce drift, delay delivery"", ""Use lidar to track moving UAV, cut between obstacles""]","Option D avoids both static and dynamic NFZs while remaining within the safe 1–25 m AGL band. It accounts for wind-induced drift and sensor limitations by taking a predictable, conservative route. Other options violate NFZ boundaries, risk collision, or fail due to GNSS degradation or battery overuse." 2025-11-01T17:49:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_Delivery_in_Hail_7f399214ffe0_mcq.json,uavbench-mcq-v1,Amphibious_Delivery_in_Hail,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"During hail and poor visibility, at 205 seconds with GNSS downlink loss and icing, which sensor strategy ensures corridor adherence and obstacle avoidance?","This is a package delivery mission using an amphibious fixed-wing UAV in rural airspace. The UAV operates under poor visibility and active hail conditions with moderate wind from 240 degrees. Equipped with GNSS, radar, lidar, and RGB camera, the UAV must navigate around a cylindrical no-fly zone centered at (500, 200) with a 50-meter radius. The flight envelope is restricted between 10 and 120 meters AGL within a defined polygon boundary. The mission requires use of a runway at (900, 700) aligned to heading 270 degrees. A second UAV and a moving spherical obstacle create dynamic traffic challenges. Separation maintenance is enforced with a 25-meter threshold and 15-second time-to-contact limit. An icing fault occurs at 200 seconds, reducing performance for one minute. Communication experiences brief downlink losses between 180–195 and 420–430 seconds. The UAV must complete its corridor-pattern waypoint route within 600 seconds while managing battery reserve and safe landing.",Prioritize GNSS with radar altimeter for altitude,Switch to full IMU-lidar dead reckoning,Rely solely on RGB camera for terrain tracking,Fuse radar and IMU with terrain correlation,Use lidar-only navigation in hail conditions,Depend on predictive GNSS with no cross-check,Trust camera-lidar fusion despite snow glare,"[""Prioritize GNSS with radar altimeter for altitude"", ""Switch to full IMU-lidar dead reckoning"", ""Rely solely on RGB camera for terrain tracking"", ""Fuse radar and IMU with terrain correlation"", ""Use lidar-only navigation in hail conditions"", ""Depend on predictive GNSS with no cross-check"", ""Trust camera-lidar fusion despite snow glare""]","Radar penetrates hail and fog better than lidar or camera, and fusing it with IMU compensates for GNSS outages and icing-induced drift. This maintains position accuracy and detects moving obstacles despite sensor degradation. Other options fail due to occlusion, environmental interference, or lack of redundancy." 2025-11-01T17:49:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Coastal_Survey_in_Rain_5a839470e350_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Coastal_Survey_in_Rain,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,An amphibious UAV operates at 180 m AGL in 12 m/s westerly winds with GNSS jamming and rain. What ensures control and efficiency?,"Amphibious UAV conducts a coastal survey mission in rainy conditions with poor visibility. The operation takes place in a defined coastal airspace with a maximum altitude of 180 meters AGL. Moderate winds increase with altitude, reaching up to 12 m/s from the west, with gusts and variable direction. The UAV is a hybrid amphibious type equipped with radar, RGB camera, and standard navigation sensors. It must avoid a cylindrical no-fly zone in the center of the area and adhere to geofence boundaries. GNSS signals are degraded due to multipath and intentional jamming, with a simulated GNSS jamming fault occurring mid-mission. A single traffic UAV moves through the airspace on a westward heading, requiring separation of at least 25 meters. The mission requires runway-assisted takeoff and landing, with preferred and emergency landing sites designated. Wind, rain, electromagnetic interference, and communication dropouts create challenging flight conditions. Battery endurance is limited, demanding efficient path planning within the 10-minute time budget.",Increase angle of attack to maximize lift in rain,Descend to reduce wind shear exposure and drag,Maintain 180 m AGL for optimal radar coverage,Turn east into wind to minimize groundspeed drift,Reduce airspeed to conserve battery in gusts,Bank sharply to avoid traffic without altitude change,Rely on GNSS for precision near no-fly zone,"[""Increase angle of attack to maximize lift in rain"", ""Descend to reduce wind shear exposure and drag"", ""Maintain 180 m AGL for optimal radar coverage"", ""Turn east into wind to minimize groundspeed drift"", ""Reduce airspeed to conserve battery in gusts"", ""Bank sharply to avoid traffic without altitude change"", ""Rely on GNSS for precision near no-fly zone""]","Descending reduces exposure to stronger winds aloft, lowering dynamic pressure and drag while improving control authority. It compensates for degraded GNSS by leveraging ground proximity for visual/terrain-based navigation, balancing battery endurance and stability in turbulent, rainy conditions." 2025-11-01T17:49:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Disaster_Recon_in_Suburban_Area_with_Strong_Crosswind_9c17322ef6a7_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Disaster_Recon_in_Suburban_Area_with_Strong_Crosswind,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Plan route through dynamic NFZs at 10–120 m AGL, 8.5–12 m/s crosswinds from 240°, with 10-min time budget.","Amphibious UAV conducts disaster reconnaissance in a suburban environment. Mission involves flying a corridor pattern through dynamic no-fly zones and urban terrain. Strong crosswinds from 240° at 8.5 m/s increase with altitude, reaching 12 m/s at 50 m AGL. UAV is a hybrid VTOL with fixed-wing aerodynamics and amphibious capability. Equipped with RGB and thermal cameras, LiDAR, GNSS, IMU, and other standard sensors. Faces GNSS multipath, moderate jamming (-75 dBm), and electromagnetic interference. Must avoid static and moving no-fly zones, including a drifting cylindrical exclusion. Operates within 10–120 m AGL, with a time budget of 10 minutes and runway-assisted landing. Shares airspace with another UAV and a moving spherical obstacle near thermal updrafts. Communication experiences brief downlink outages, requiring resilient data handling.",Fly direct at 15 m AGL to minimize distance and time,Climb to 120 m AGL early to avoid GNSS multipath effects,"Fly 110 m AGL, 230° heading to counter crosswind drift",Descend to 8 m AGL to reduce wind exposure and noise,Reroute westward to avoid drifting cylindrical exclusion zone,Maintain 60 m AGL and 250° heading for thermal updraft assist,Delay takeoff to allow moving spherical obstacle to clear,"[""Fly direct at 15 m AGL to minimize distance and time"", ""Climb to 120 m AGL early to avoid GNSS multipath effects"", ""Fly 110 m AGL, 230° heading to counter crosswind drift"", ""Descend to 8 m AGL to reduce wind exposure and noise"", ""Reroute westward to avoid drifting cylindrical exclusion zone"", ""Maintain 60 m AGL and 250° heading for thermal updraft assist"", ""Delay takeoff to allow moving spherical obstacle to clear""]","The drifting cylindrical NFZ requires proactive lateral deviation to maintain safe separation. Option E reroutes westward, preserving 10–120 m AGL and avoiding conflict with the moving obstacle. Other choices violate altitude limits, penetrate NFZs, or fail to account for wind-induced navigation drift and timing constraints." 2025-11-01T17:49:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Facade_Inspection_in_Volcanic_Sandstorm_b3beeb9d8705_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Facade_Inspection_in_Volcanic_Sandstorm,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,A,False,"Given 9.5 m/s winds and a second UAV entering airspace, which action ensures 25m separation and 30% battery reserve?","This mission involves an amphibious UAV conducting a facade inspection in a volcanic zone with poor visibility due to an active sandstorm. The operation takes place within a defined polygonal airspace bounded between 5 and 120 meters AGL, featuring a central cylindrical no-fly zone. Strong winds of 9.5 m/s from 240 degrees, with gusts up to 4.5 m/s, create challenging flight conditions. The UAV is a fixed-wing hybrid with six rotors, equipped with RGB and thermal cameras, LiDAR, radar, and full suite navigation sensors. It carries a 0.6 kg payload and relies solely on battery power, requiring careful energy management due to a 30% reserve requirement. The flight pattern follows a corridor route at 25 meters altitude, covering four waypoints while avoiding a moving spherical obstacle near the center. A second UAV enters the airspace from outside, requiring separation assurance with a 25-meter minimum distance and 15-second time-to-close threshold. Communication experiences two brief downlink loss windows, and GNSS signals may suffer from multipath effects in proximity to volcanic terrain. The UAV must complete the inspection within 600 seconds and land at the preferred site using the designated runway, while adhering to all geofence and altitude constraints.",Adjust heading to avoid conflict while maintaining 25m AGL,Climb to 120m to escape wind and UAV traffic,Descend to 5m AGL to reduce wind exposure,Hover at waypoint 2 until the second UAV clears,Proceed at 30m AGL to improve GNSS signal,Divert to alternate landing site outside runway,Increase speed to complete inspection in 500s,"[""Adjust heading to avoid conflict while maintaining 25m AGL"", ""Climb to 120m to escape wind and UAV traffic"", ""Descend to 5m AGL to reduce wind exposure"", ""Hover at waypoint 2 until the second UAV clears"", ""Proceed at 30m AGL to improve GNSS signal"", ""Divert to alternate landing site outside runway"", ""Increase speed to complete inspection in 500s""]","A maintains required altitude and spacing while preserving energy and mission timeline. Other options violate geofence, reserve power, or separation thresholds. Coordination requires simultaneous adherence to dynamic separation and environmental constraints." 2025-11-01T17:50:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Disaster_Recon_in_Suburban_Area_with_Gusts_8e52d6aa19a4_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Disaster_Recon_in_Suburban_Area_with_Gusts,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"Given 7.5 m/s winds and a dynamic no-fly zone, which control strategy maintains mission integrity under GNSS spoofing?","This is a search and rescue mission using an amphibious fixed-wing UAV in a suburban environment. The UAV operates within a defined airspace bounded by a 500m x 500m geofenced area, with a minimum altitude of 10m and maximum of 120m AGL. Weather conditions include a 7.5 m/s wind from 240 degrees with gusts up to 4.2 m/s, though visibility is good. The UAV is equipped with a battery-powered electric propulsion system, RGB and thermal cameras, LiDAR, and standard navigation sensors. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves through the airspace, requiring real-time avoidance. The mission involves flying a corridor pattern through five waypoints, with a time budget of 600 seconds. The UAV must maintain at least 25 meters separation from other traffic and avoid a moving spherical obstacle. GNSS multipath effects are not modeled, but separation and dynamic obstacles introduce navigation challenges. The UAV spawns at (50, 50, 20) and must return to its preferred landing site unless an emergency arises. Battery reserve is set to 30%, and energy consumption is closely tied to speed, drag, and maneuvering.",Use encrypted GNSS with inertial fallback every 3 seconds,Rely solely on LiDAR for position without sensor fusion,Increase update rate to 100 Hz without authentication,Disable telemetry encryption to reduce communication latency,Trust all GNSS signals during rapid course corrections,Switch to open-loop timer-based waypoint progression,Transmit control commands over unauthenticated UDP,"[""Use encrypted GNSS with inertial fallback every 3 seconds"", ""Rely solely on LiDAR for position without sensor fusion"", ""Increase update rate to 100 Hz without authentication"", ""Disable telemetry encryption to reduce communication latency"", ""Trust all GNSS signals during rapid course corrections"", ""Switch to open-loop timer-based waypoint progression"", ""Transmit control commands over unauthenticated UDP""]","A- ensures data integrity and continuity by combining encrypted positioning with periodic inertial validation, mitigating spoofing risks. It maintains control-loop stability despite wind and dynamic obstacles. Other options either expose the system to injection attacks or lose situational awareness under adversarial conditions." 2025-11-01T17:50:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Heavy_Load_Delivery_in_Wind_Farm_with_Strong_Crosswind_4d297a22c93f_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Heavy_Load_Delivery_in_Wind_Farm_with_Strong_Crosswind,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"With 8 kg payload, 35% battery reserve, and 18 m/s crosswinds, which strategy maximizes delivery success within energy limits?","This is a heavy-load delivery mission using an amphibious fixed-wing VTOL UAV in a wind farm environment. The UAV operates within a 5 to 120-meter AGL altitude corridor and must navigate a predefined waypoint path while avoiding static and moving obstacles. Strong crosswinds up to 18 m/s increase with altitude and shift direction, creating challenging flight conditions. The UAV carries an 8 kg payload and relies on battery power with a 35% reserve requirement, limiting available energy. Key sensors include GNSS, IMU, lidar, radar, and RGB camera, though GNSS experiences moderate jamming and electromagnetic interference. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves slowly through the airspace. The UAV must maintain 25-meter separation from other traffic and avoid a moving spherical obstacle. Communication links experience two brief loss windows, requiring resilient control and navigation. The mission emphasizes safe, efficient delivery under high wind, limited GNSS, and complex airspace constraints.",Climb to 120 m for shortest path and tailwind assist,Fly direct at 60 m AGL to minimize time and drift,Descend to 10 m AGL to reduce wind exposure despite obstacles,Divert around dynamic zone at 100 m to ensure GNSS lock,Hover and wait for wind to drop below 10 m/s,Jettison 3 kg payload to cut power use by 25%,Alternate lidar and radar to save 15% sensor power,"[""Climb to 120 m for shortest path and tailwind assist"", ""Fly direct at 60 m AGL to minimize time and drift"", ""Descend to 10 m AGL to reduce wind exposure despite obstacles"", ""Divert around dynamic zone at 100 m to ensure GNSS lock"", ""Hover and wait for wind to drop below 10 m/s"", ""Jettison 3 kg payload to cut power use by 25%"", ""Alternate lidar and radar to save 15% sensor power""]","Flying at 60 m balances wind intensity and obstacle clearance while minimizing flight time and energy. Higher altitudes increase wind load and power demand, while lower altitudes risk collisions. Maintaining full payload and adaptive sensor use preserves mission integrity within battery constraints." 2025-11-01T17:50:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Inspection_in_Dense_Urban_Area_under_Hot_Temperature_Extremes_cc42918cbed2_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Inspection_in_Dense_Urban_Area_under_Hot_Temperature_Extremes,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"Given 8.5–11.0 m/s winds, GNSS interference, and two 15-second downlink losses, how should the UAV maintain secure, stable control during inspection?","This scenario involves an amphibious UAV conducting an inspection mission in a dense urban environment. The airspace restricts flight between 5 and 120 meters AGL, with a static no-fly zone and a moving no-fly zone that drifts through the area. Strong winds of 8.5 m/s at ground level increase to 11.0 m/s at 50 meters, shifting direction, while gusts up to 4.2 m/s add complexity. The UAV is equipped with RGB and thermal cameras, LIDAR, and standard navigation sensors, but faces GNSS multipath and electromagnetic interference. It must follow a corridor inspection pattern across five waypoints within a 600-second time limit. The UAV has a battery capacity of 850 Wh and a reserve of 30%, limiting available energy for the mission. Air traffic includes another UAV entering the airspace, and a moving spherical obstacle traverses the path. Communication experiences two brief downlink loss windows, potentially affecting telemetry and control. Separation minima are enforced with a 25-meter threshold and 15-second time-to-close alerting. The UAV starts near one corner of the zone and must manage energy, obstacles, and environmental challenges to reach designated landing sites.",Use encrypted telemetry with authenticated commands and fallback to LIDAR-aided INS during GNSS loss,Transmit unencrypted video to reduce latency during downlink outages,Rely solely on GNSS with no sensor fusion to simplify navigation,Disable intrusion detection to lower processor load during wind gusts,Override actuator limits to maintain course in shifting 11.0 m/s winds,Use open-loop control to conserve battery when comms are lost,Authenticate ground station commands only at mission start,"[""Use encrypted telemetry with authenticated commands and fallback to LIDAR-aided INS during GNSS loss"", ""Transmit unencrypted video to reduce latency during downlink outages"", ""Rely solely on GNSS with no sensor fusion to simplify navigation"", ""Disable intrusion detection to lower processor load during wind gusts"", ""Override actuator limits to maintain course in shifting 11.0 m/s winds"", ""Use open-loop control to conserve battery when comms are lost"", ""Authenticate ground station commands only at mission start""]","Encrypted and authenticated telemetry ensures command integrity during downlink loss, while LIDAR-aided inertial navigation compensates for GNSS spoofing or multipath. This maintains control stability and security without over-relying on compromised signals or weakening cyber defenses." 2025-11-01T17:50:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_High_Crosswind_Training_in_Harbor_with_Lightning_Risk_6982b8c7ffcc_mcq.json,uavbench-mcq-v1,Amphibious_UAV_High_Crosswind_Training_in_Harbor_with_Lightning_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"During GNSS jamming, with 18 m/s winds and 25 m separation required, how should the amphibious UAV adjust?","Amphibious UAV conducts harbor survey mission under high crosswind and lightning risk. Flight occurs in controlled harbor airspace with a 5–120 m AGL altitude range. Strong winds up to 18 m/s increase with altitude and shift direction, creating turbulence. UAV is a hybrid VTOL with fixed-wing efficiency and multirotor hover capability. Equipped with RGB camera, LiDAR, and standard navigation sensors, but no radar or thermal. Mission involves corridor-style waypoint survey with runway-assisted takeoff and landing. A cylindrical no-fly zone near the center restricts access to part of the area. Another UAV and a moving spherical obstacle introduce dynamic collision risks. GNSS jamming fault occurs mid-mission, degrading positioning for 30 seconds. Communication experiences brief downlink losses, and separation monitoring enforces 25 m minimum.",Climb to 120 m for stable winds and clear LiDAR scans,Descend to 5 m AGL to reduce wind impact and maintain visual lock,Hover at current position using multirotor mode until GNSS recovers,Abort mission and return to runway immediately post-jamming,Increase speed to minimize exposure time in no-fly zone vicinity,Rely on dead reckoning and inter-UAV ranging to maintain formation,Switch to thermal imaging for obstacle detection during downlink loss,"[""Climb to 120 m for stable winds and clear LiDAR scans"", ""Descend to 5 m AGL to reduce wind impact and maintain visual lock"", ""Hover at current position using multirotor mode until GNSS recovers"", ""Abort mission and return to runway immediately post-jamming"", ""Increase speed to minimize exposure time in no-fly zone vicinity"", ""Rely on dead reckoning and inter-UAV ranging to maintain formation"", ""Switch to thermal imaging for obstacle detection during downlink loss""]","During GNSS outage, inter-agent ranging compensates for lost positioning while maintaining 25 m separation. Dead reckoning with relative navigation preserves corridor progress without violating collision constraints. Other options either increase drift risk, break comms reliance, or use non-existent sensors." 2025-11-01T17:50:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Inspection_at_Harbor_Bridge_Site_Under_Hot_Conditions_537206c7efd9_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Inspection_at_Harbor_Bridge_Site_Under_Hot_Conditions,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 7.2 m/s wind from 210° and 1.5 m/s moving obstacle, what airspeed and pitch adjustment maintains lift while avoiding collision?","This is an inspection mission using an amphibious fixed-wing UAV equipped with RGB and thermal cameras, LiDAR, radar, and GNSS/IMU sensors. The operation takes place in a harbor airspace near a bridge construction site within a defined polygonal geofence. Weather conditions include strong winds at 7.2 m/s from 210°, increasing with altitude, and hot temperature extremes affecting battery performance. The UAV must navigate around a static no-fly zone centered at (200, 200) and avoid a moving obstacle drifting at 1.5 m/s. A dynamic no-fly zone also moves slowly through the area, requiring real-time path adjustments. The mission follows a corridor pattern with five waypoints, requiring runway-assisted takeoff and landing due to VTOL-to-fixed-wing transition needs. GNSS signals suffer from multipath effects and moderate jamming at -75 dBm, compounded by electromagnetic interference. Air traffic includes another UAV approaching from the south, with a minimum separation threshold of 25 meters and TTC of 15 seconds. Battery endurance is limited, with a 30% reserve required and high power draw in windy conditions. Communication experiences brief uplink/downlink outages, demanding robust autonomy and contingency planning.",Increase airspeed to 18 m/s and pitch up 3°,Decrease airspeed to 10 m/s and pitch down 5°,Maintain 15 m/s and reduce pitch by 1°,Accelerate to 20 m/s and pitch up 8°,Reduce throttle and dive 10° to escape,Hold level flight at 12 m/s with zero pitch,Decelerate to 11 m/s and increase AoA by 6°,"[""Increase airspeed to 18 m/s and pitch up 3°"", ""Decrease airspeed to 10 m/s and pitch down 5°"", ""Maintain 15 m/s and reduce pitch by 1°"", ""Accelerate to 20 m/s and pitch up 8°"", ""Reduce throttle and dive 10° to escape"", ""Hold level flight at 12 m/s with zero pitch"", ""Decelerate to 11 m/s and increase AoA by 6°""]","Increasing airspeed to 18 m/s improves control authority and lift generation in strong, shearing wind. A 3° pitch-up balances angle of attack within safe margin, avoiding stall at reduced density altitude. Other options either exceed critical AoA, reduce lift, or inadequately respond to wind and obstacle dynamics." 2025-11-01T17:50:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Jungle_Facade_Inspection_Under_Lightning_Risk_219821e3ddd8_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Jungle_Facade_Inspection_Under_Lightning_Risk,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"At 7.5 m/s SW winds with 4.0 m/s gusts, 80m max AGL, and a moving no-fly zone at 2.5 m/s NE, which strategy balances energy, safety, and progress?","This mission involves an amphibious UAV conducting a facade inspection in a dense jungle environment. The operation takes place within a defined rectangular airspace, bounded between 5 and 80 meters AGL. Weather conditions include strong winds from the southwest at 7.5 m/s with gusts up to 4.0 m/s, poor visibility, and a risk of lightning. The UAV is a battery-powered hexacopter with fixed-wing aerodynamic features, equipped with RGB camera and LiDAR payload for inspection tasks. It must avoid two no-fly zones: one static cylinder near the center and another moving cylindrical zone drifting northeast at 2.5 m/s. A single intruder UAV and a moving spherical obstacle add complexity to navigation. The mission follows a corridor inspection pattern with five waypoints, requiring tight maneuvering under a 10-minute time budget. GNSS signals may be degraded due to jungle canopy and weather, increasing reliance on IMU and LiDAR. A simulated lost-link fault occurs mid-mission, and communication dropouts are expected around step 300, demanding robust autonomy and DAA compliance.",Climb to 75m AGL to avoid obstacles and use GNSS,Descend to 10m AGL to reduce wind exposure,Increase speed to 15 m/s to outrun moving obstacles,Follow corridor at 40m AGL with LiDAR-assisted lateral offset,Hover until lost-link fault resolves at waypoint 3,Divert east outside airspace to regain GNSS signal,"Reduce thrust to save battery, accept minor course drift","[""Climb to 75m AGL to avoid obstacles and use GNSS"", ""Descend to 10m AGL to reduce wind exposure"", ""Increase speed to 15 m/s to outrun moving obstacles"", ""Follow corridor at 40m AGL with LiDAR-assisted lateral offset"", ""Hover until lost-link fault resolves at waypoint 3"", ""Divert east outside airspace to regain GNSS signal"", ""Reduce thrust to save battery, accept minor course drift""]","Flying at 40m AGL balances wind resilience and obstacle clearance while staying within the 5–80m AGL limit. Using LiDAR compensates for degraded GNSS under canopy and enables precise avoidance of the moving cylindrical zone. This maintains inspection accuracy, energy efficiency, and DAA compliance during communication dropouts." 2025-11-01T17:50:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Inspection_in_Urban_Canyon_under_Hot_Temperature_Extremes_e7ff631999b5_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Inspection_in_Urban_Canyon_under_Hot_Temperature_Extremes,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"Given GNSS jamming, wind shear below 50m, and brief downlink outages, what ensures resilient navigation and command integrity during transition phases?","This scenario involves an amphibious UAV conducting an inspection mission in an urban canyon environment. The flight operates within a defined airspace bounded by a polygonal geofence and includes a cylindrical no-fly zone near the center. High temperatures impact battery performance, and strong winds with gusts increase flight challenges, especially with wind shear between ground and 50 meters. The UAV is a hybrid VTOL with fixed-wing capabilities, equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. It must maintain separation from a nearby UAV moving through the airspace and avoid a slowly drifting spherical obstacle. GNSS signals suffer from multipath effects and moderate jamming, while electromagnetic interference may affect systems. The mission requires a runway takeoff and landing, with transition phases between hover and forward flight. Communication experiences brief downlink outages, requiring resilient data handling. Battery capacity and thermal stress limit endurance, demanding efficient routing within the time budget.",Use GNSS-only navigation with unencrypted telemetry,Switch to LiDAR-inertial fusion with authenticated command links,Rely on thermal camera SLAM with open Wi-Fi control,Increase GNSS update rate despite jamming,Disable encryption to reduce communication latency,Use RGB optical flow without sensor redundancy,Transmit unverified control packets during outages,"[""Use GNSS-only navigation with unencrypted telemetry"", ""Switch to LiDAR-inertial fusion with authenticated command links"", ""Rely on thermal camera SLAM with open Wi-Fi control"", ""Increase GNSS update rate despite jamming"", ""Disable encryption to reduce communication latency"", ""Use RGB optical flow without sensor redundancy"", ""Transmit unverified control packets during outages""]","LiDAR-inertial fusion provides GNSS-denied navigation resilience in urban canyons, while authenticated links ensure command integrity during downlink outages. This maintains control stability under jamming and wind shear. Other options expose the system to spoofing, loss of control, or sensor failure." 2025-11-01T17:50:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Forest_Corridor_Follow_with_Lightning_Risk_ad5bcccd0a40_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Forest_Corridor_Follow_with_Lightning_Risk,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"Amphibious fixed-wing UAV surveys 150x200m forest corridor at 10–120m AGL, 6.5 m/s wind, GNSS jamming, 750 Wh battery, must return with 30%.","This is a survey mission using an amphibious fixed-wing UAV equipped with GNSS, IMU, lidar, and RGB camera payload. The flight occurs in a forested airspace with a predefined corridor route spanning 150x200 meters. Weather includes moderate wind from 240° at 6.5 m/s with gusts up to 3.2 m/s and a risk of lightning. The UAV must operate between 10 and 120 meters AGL, avoiding a static no-fly cylinder near the center and a moving no-fly zone drifting northwest. A second UAV and a moving spherical obstacle add collision risks, requiring 25-meter separation. GNSS jamming occurs mid-mission for 45 seconds, challenging navigation reliability. Communication experiences two brief downlink loss periods, potentially affecting telemetry. The UAV starts with 750 Wh battery capacity, reserving 30% for safe return to the preferred landing site. Mission success depends on completing the corridor survey within 600 seconds while avoiding breaches and maintaining minimum separation.",Fly low at 15m AGL to improve lidar resolution and save energy via ground effect,Climb to 110m AGL to avoid moving obstacles and ensure GNSS signal post-jamming,Reduce speed to 12 m/s to extend coverage and reduce gust impact during jamming,Divert early to preferred landing site to preserve 30% battery amid comms loss,"Maintain 20m separation from moving UAV, accepting slight path deviation",Increase speed to 18 m/s to finish survey before lightning risk peaks,"Follow nominal path using IMU-lidar during GNSS outage, monitoring energy and separation","[""Fly low at 15m AGL to improve lidar resolution and save energy via ground effect"", ""Climb to 110m AGL to avoid moving obstacles and ensure GNSS signal post-jamming"", ""Reduce speed to 12 m/s to extend coverage and reduce gust impact during jamming"", ""Divert early to preferred landing site to preserve 30% battery amid comms loss"", ""Maintain 20m separation from moving UAV, accepting slight path deviation"", ""Increase speed to 18 m/s to finish survey before lightning risk peaks"", ""Follow nominal path using IMU-lidar during GNSS outage, monitoring energy and separation""]","Option G maintains navigation accuracy during 45s GNSS jamming by fusing IMU and lidar, stays within energy limits by avoiding inefficient maneuvers, and respects separation and altitude constraints. It balances aerodynamic stability, sensor resilience, and mission completion within 600s while preserving 225 Wh for return. Other options fail by compromising safety, energy, or navigation under cross-domain pressures." 2025-11-01T17:50:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Industrial_Survey_in_Dusty_Conditions_d6ee8363983d_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Industrial_Survey_in_Dusty_Conditions,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"With 6.5 m/s southwest wind, dust reducing visibility, and GNSS degraded, how should navigation adapt during the grid survey?","This scenario involves a survey mission using an amphibious fixed-wing UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The UAV operates within a defined industrial plant airspace bounded by a polygon geofence, with a flight altitude range between 5 and 60 meters AGL. A static no-fly zone restricts access to a cylinder near the center of the area, while a dynamic no-fly zone slowly moves westward, requiring real-time avoidance. An additional moving obstacle ascends vertically near the center, posing a collision risk. Moderate wind from the southwest at 6.5 m/s, with gusts up to 3.2 m/s, and poor visibility due to dust affect flight stability and sensor performance. The UAV must complete a grid-pattern survey of four waypoints within a 10-minute time limit while maintaining safe separation of at least 15 meters from other air traffic. A single intruder UAV flies eastbound along the southern edge, requiring detect-and-avoid compliance based on time-to-closest-approach thresholds. The UAV launches from a designated point and must return to a preferred landing site unless an emergency arises. Battery capacity and energy consumption modeling are critical, with a 30% reserve required, and GNSS performance may be degraded due to multipath in the industrial environment.",Rely solely on GNSS for position updates,Switch to thermal-only SLAM for localization,Use IMU-visual-LiDAR fusion with motion compensation,Descend below 5 m to reduce wind impact,Halt survey and hover using GPS hold,Follow intruder UAV for visual reference,Ascend to 65 m for clearer GNSS signal,"[""Rely solely on GNSS for position updates"", ""Switch to thermal-only SLAM for localization"", ""Use IMU-visual-LiDAR fusion with motion compensation"", ""Descend below 5 m to reduce wind impact"", ""Halt survey and hover using GPS hold"", ""Follow intruder UAV for visual reference"", ""Ascend to 65 m for clearer GNSS signal""]","IMU-visual-LiDAR fusion compensates for GNSS multipath and maintains accuracy despite dust-induced visibility issues. Motion compensation accounts for wind disturbances, preserving survey integrity. This approach ensures robust localization within geofence and obstacle constraints while conserving energy." 2025-11-01T17:50:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_High_Crosswind_Training_in_Warehouse_with_Thermal_Updrafts_43303dc73508_mcq.json,uavbench-mcq-v1,Amphibious_UAV_High_Crosswind_Training_in_Warehouse_with_Thermal_Updrafts,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 9.5 m/s crosswinds, 30% battery reserve, and 10-minute mission cap, which strategy maximizes inspection coverage?","This is an inspection mission using an amphibious fixed-wing UAV equipped with thermal and RGB cameras, operating inside a confined warehouse environment. The UAV must navigate a corridor pattern at low altitude between 5 and 10 meters while avoiding static and moving obstacles. Strong westerly crosswinds of up to 9.5 m/s increase to 12.5 m/s at higher altitudes and shift direction, creating challenging flight conditions. Thermal updrafts of 2.1 m/s near the center of the warehouse introduce vertical turbulence that affects stability and energy consumption. The UAV experiences GNSS signal degradation due to multipath effects and a deliberate jamming event at -75 dBm, compounded by electromagnetic interference. A static no-fly zone restricts access to the central area, while a dynamic no-fly zone drifts slowly through the airspace, requiring real-time avoidance. A second UAV and a moving spherical obstacle create additional collision risks, with a minimum separation threshold of 5 meters enforced. The mission requires a runway-aligned takeoff and landing despite the indoor setting, with a strict 10-minute time budget. Battery reserve is set to 30%, and faults such as GNSS jamming and IMU bias are injected during flight to test resilience. Communication experiences a brief downlink loss window, further challenging command and control.",Increase speed to reduce wind drift impact,Fly highest corridor to exploit thermal updrafts,Disable RGB camera to save power for stability,Shorten path by skipping alternate corridor rows,Transmit full HD video continuously to ground,Circle dynamic obstacle for sensor fusion calibration,Climb above 10 m for clearer GNSS signal,"[""Increase speed to reduce wind drift impact"", ""Fly highest corridor to exploit thermal updrafts"", ""Disable RGB camera to save power for stability"", ""Shorten path by skipping alternate corridor rows"", ""Transmit full HD video continuously to ground"", ""Circle dynamic obstacle for sensor fusion calibration"", ""Climb above 10 m for clearer GNSS signal""]","Disabling the RGB camera reduces power consumption, preserving energy for attitude control in crosswinds and thermal turbulence. It balances payload efficiency with mission endurance, ensuring return within battery reserve. Other options increase energy use, extend flight time, or risk collision and signal loss." 2025-11-01T17:50:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Jungle_Recon_Icing_1ed7b229174c_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Jungle_Recon_Icing,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"During icing, UAV must maintain 25m separation from moving obstacle and second UAV while completing 300x250m corridor in 10 minutes with GNSS degradation.","Amphibious UAV conducts fixed-wing area reconnaissance in a dense jungle environment. Mission involves flying a corridor pattern within a 300x250 meter airspace bounded by geofences and a central cylindrical no-fly zone. Operations occur between 10 and 150 meters AGL with mandatory runway-aligned takeoff and landing. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, carrying a 1.2 kg payload. Adverse weather includes poor visibility, strong winds up to 10 m/s, wind shear with direction shifts, and in-flight icing conditions. An icing event occurs mid-mission, reducing performance by 60% for 90 seconds. GNSS signals are degraded due to multipath, jamming at -75 dBm, and electromagnetic interference. A moving spherical obstacle travels across the flight path, and another UAV transits the airspace on a perpendicular route. Collision avoidance is required with a 25-meter separation threshold and 20-second time-to-contact limit. Communication experiences brief downlink losses, and the mission must be completed within 10 minutes while maintaining battery reserves.",Climb to 150m for clear GNSS and thermal scan,"Descend to 10m AGL, increasing LiDAR reliance","Halt reconnaissance, circle at 75m for signal lock",Accelerate to minimize exposure to icing and traffic,Share real-time position via peer-to-peer link with other UAV,"Abort mission, return to runway immediately",Adjust track spacing to 40m for faster coverage,"[""Climb to 150m for clear GNSS and thermal scan"", ""Descend to 10m AGL, increasing LiDAR reliance"", ""Halt reconnaissance, circle at 75m for signal lock"", ""Accelerate to minimize exposure to icing and traffic"", ""Share real-time position via peer-to-peer link with other UAV"", ""Abort mission, return to runway immediately"", ""Adjust track spacing to 40m for faster coverage""]","Peer-to-peer coordination ensures continuous situational awareness despite GNSS and downlink issues. It enables synchronized collision avoidance with the crossing UAV and moving obstacle within the 20-second time-to-contact limit. This maintains mission progress without violating separation, optimizing time and safety under degraded conditions." 2025-11-01T17:50:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Loiter_Urban_Fog_744636b908ee_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Loiter_Urban_Fog,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"At 300 s, moderate icing occurs at 55 m AGL in fog with 6.5 m/s wind from 240°; how should navigation adapt?","The mission is an urban inspection requiring the UAV to orbit designated waypoints within a confined urban canyon airspace. The environment features poor visibility due to fog and icing conditions, with moderate wind at 6.5 m/s from 240° increasing with altitude. An amphibious fixed-wing VTOL UAV equipped with GNSS, IMU, lidar, and RGB camera is used, carrying a 0.8 kg payload. The flight is constrained by a static no-fly zone centered at (100,75) and a moving restricted zone drifting at 2.2 m/s. Additional challenges include GNSS multipath, electromagnetic interference, and a temporary comms loss window. The UAV must maintain separation of at least 25 meters from other traffic, with a dynamic collision avoidance threshold. A fault event simulates moderate icing at 300 seconds into the mission, affecting aerodynamics. The UAV must operate between 5 and 60 meters AGL, avoid geofence breaches, and land on a designated runway. Battery capacity is limited to 450 Wh with a 30% reserve, and the mission must complete within 600 seconds. Thermal updrafts near (120,80) may assist lift but require precise control in gusty conditions.",Switch to pure GNSS mode for stable positioning,Rely solely on IMU due to sensor fusion delay,Increase reliance on lidar despite fog attenuation,Use IMU-lidar fusion with wind-compensated prediction,Descend to 5 m AGL to escape wind gusts,Disable collision avoidance to reduce processing load,Trust visual odometry despite <50 m visibility,"[""Switch to pure GNSS mode for stable positioning"", ""Rely solely on IMU due to sensor fusion delay"", ""Increase reliance on lidar despite fog attenuation"", ""Use IMU-lidar fusion with wind-compensated prediction"", ""Descend to 5 m AGL to escape wind gusts"", ""Disable collision avoidance to reduce processing load"", ""Trust visual odometry despite <50 m visibility""]","GNSS suffers multipath and interference, while fog degrades visual and lidar performance. IMU-lidar fusion with motion modeling compensates for GNSS gaps and corrects drift. Wind-aware prediction maintains trajectory accuracy near urban canyons and during icing-induced control degradation." 2025-11-01T17:50:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Ship_Deck_Delivery_in_Icing_Conditions_6051961de7df_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Ship_Deck_Delivery_in_Icing_Conditions,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,"At 45m altitude, 70% battery, icing reduces lift: which action balances glide efficiency, separation from a drifting sphere, and GNSS drop risk?","This scenario involves a delivery mission using an amphibious UAV near an airport perimeter. The UAV operates within a confined airspace bounded by a geofence and multiple no-fly zones, including a dynamic obstacle. Icing conditions are present, with a simulated icing event occurring mid-mission, affecting performance. Wind increases with altitude, shifting direction and introducing turbulence. The UAV is equipped with GNSS, IMU, lidar, and RGB camera, but faces GNSS multipath, electromagnetic interference, and brief communication loss periods. It must follow a corridor flight pattern, transition between VTOL and forward flight, and land on a designated site requiring runway alignment. A nearby moving UAV and a drifting spherical obstacle require real-time separation management. The amphibious design allows ship deck operations, though icing and wind gusts challenge stability. Battery endurance and sensor reliability are critical due to environmental stresses and mission duration constraints. Safe navigation demands robust DAA performance and adherence to altitude and separation thresholds.",Descend to 30m to reduce wind shear and save power,Climb to 60m for clearer GNSS and obstacle clearance,"Hold altitude, increase throttle to counter lift loss",Transition to forward flight at current altitude,Circle at reduced speed to await GNSS recovery,Descend to 25m and switch to lidar-only navigation,Increase angle of attack to maximize lift without climbing,"[""Descend to 30m to reduce wind shear and save power"", ""Climb to 60m for clearer GNSS and obstacle clearance"", ""Hold altitude, increase throttle to counter lift loss"", ""Transition to forward flight at current altitude"", ""Circle at reduced speed to await GNSS recovery"", ""Descend to 25m and switch to lidar-only navigation"", ""Increase angle of attack to maximize lift without climbing""]","Descending to 30m reduces exposure to stronger winds and turbulence at higher altitudes, conserving battery while improving control in icing. It maintains safe separation from the drifting sphere and avoids high-risk GNSS reliance. This balances aerodynamic degradation, energy constraints, and navigation uncertainty without violating altitude or safety margins." 2025-11-01T17:50:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Satellite_Link_Relay_Over_Bridge_Site_with_Lightning_Risk_813e7e3d7edf_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Satellite_Link_Relay_Over_Bridge_Site_with_Lightning_Risk,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Amphibious UAV relay mission with 8 m/s winds, GNSS jamming at 7 min, and 10-min time limit.","Amphibious UAV conducts a satellite link relay mission near a bridge site. The airspace is constrained by a polygonal geofence and two no-fly zones, one static and one moving. Moderate winds from 240° at 8 m/s with gusts up to 4 m/s affect flight stability. Lightning risk is present, increasing operational hazard. The UAV is a hybrid amphibious type with fixed-wing and multirotor capabilities, equipped with GNSS, IMU, lidar, and RGB camera. Payload includes communication relay equipment with minimal drag. Mission involves maintaining a relay link while navigating a corridor pattern within a 10-minute time budget. A swarm of three UAVs operates with minimum 15-meter separation, each assigned distinct roles. A GNSS jamming fault occurs at 7 minutes, lasting 45 seconds, with concurrent downlink failure. Flight must avoid dynamic obstacles and maintain separation from other traffic in shared airspace.","Fixed-wing only, no redundancy","Multirotor dominant, high power use","Hybrid mode, adaptive GNSS/INS","Reduced sensor suite, low latency","Single UAV, no swarm separation","Pre-planned path, no re-routing",Manual override during jamming,"[""Fixed-wing only, no redundancy"", ""Multirotor dominant, high power use"", ""Hybrid mode, adaptive GNSS/INS"", ""Reduced sensor suite, low latency"", ""Single UAV, no swarm separation"", ""Pre-planned path, no re-routing"", ""Manual override during jamming""]","Hybrid mode ensures agility and endurance under wind gusts. Adaptive GNSS/INS maintains navigation during jamming. Other options fail in fault tolerance, efficiency, or obstacle avoidance under dynamic constraints." 2025-11-01T17:50:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Lost_Link_RTL_in_Wind_Farm_with_Hot_Weather_8b04de02d322_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Lost_Link_RTL_in_Wind_Farm_with_Hot_Weather,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,"At 300 s, lost link triggers; UAV must RTB within 10–120 m AGL, avoiding cylindrical NFZ and wind from west at 8 m/s.","Amphibious UAV conducts an inspection mission in a wind farm environment. The airspace is constrained between 10 and 120 meters AGL with a polygonal geofence. A cylindrical no-fly zone blocks access to the center of the area. Winds are from the west at 8 m/s with gusts up to 4 m/s, and visibility is good. The UAV is a hybrid VTOL with fixed-wing aerodynamics and amphibious capability. It carries a visible-light camera payload for visual inspection tasks. GNSS, IMU, barometer, and LiDAR are available for navigation and obstacle avoidance. Mid-mission at 300 seconds, a lost link fault triggers, disabling uplink and downlink for 60 seconds. The UAV must autonomously execute return-to-launch while avoiding traffic and moving obstacles. Thermal stress from hot weather and GNSS multipath near turbines add navigation challenges.","Climb to 120 m, fly east tangent to NFZ, descend on downwind side","Descend to 10 m, cross NFZ center, accelerate east below 120 m AGL","Turn north, fly 130 m AGL around NFZ periphery with 25° bank",Hold position at 65 m AGL until link restored at 360 s,"Bank 40° into headwind, cut diagonally across NFZ to save 40 s","Follow curved path south, maintain 110 m AGL, avoid turbine multipath","Pitch down immediately, fly direct at 5 m AGL to minimize exposure","[""Climb to 120 m, fly east tangent to NFZ, descend on downwind side"", ""Descend to 10 m, cross NFZ center, accelerate east below 120 m AGL"", ""Turn north, fly 130 m AGL around NFZ periphery with 25° bank"", ""Hold position at 65 m AGL until link restored at 360 s"", ""Bank 40° into headwind, cut diagonally across NFZ to save 40 s"", ""Follow curved path south, maintain 110 m AGL, avoid turbine multipath"", ""Pitch down immediately, fly direct at 5 m AGL to minimize exposure""]","Option F maintains safe altitude within the 10–120 m AGL band, avoids the NFZ with a curved path that respects turn radius and obstacle clearance, and reduces GNSS multipath by distancing from turbines. Flying south provides a clear egress vector with minimal wind-induced drift while preserving energy and navigation accuracy. Other options either breach the NFZ, exceed altitude limits, waste time, or increase collision risk from low-altitude flight or sharp maneuvers." 2025-11-01T17:50:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Offshore_Inspection_under_Lightning_Risk_cd6f69420f78_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Offshore_Inspection_under_Lightning_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"At 320s, GNSS fails for 25s in a confined 2.0–60.0m AGL airspace with 6.0m/s winds; how should the UAV respond?","This mission involves an amphibious UAV conducting an offshore inspection in an underground mine environment. The airspace is confined with a minimum altitude of 2.0 meters AGL and a maximum of 60.0 meters AGL. Weather conditions include moderate winds at 6.0 m/s from 240 degrees, gusts up to 3.5 m/s, and a risk of lightning despite good visibility. The UAV is a battery-powered, fixed-wing VTOL with six rotors, equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. A cylindrical no-fly zone with a 20-meter radius and vertical limits from 5.0 to 50.0 meters restricts flight near the center of the area. The UAV must maintain separation of at least 15 meters from other traffic, with a time-to-closest-approach threshold of 10 seconds. GNSS jamming is expected at 320 seconds into the mission, lasting 25 seconds with high severity, and a partial motor failure occurs at 480 seconds. Communication dropouts are scheduled between 210–215 seconds and 550–560 seconds, requiring robust autonomy. The mission requires use of a runway for takeoff and landing, follows a corridor inspection pattern, and must be completed within 600 seconds.",Continue corridor pattern using GNSS,Descend to 1.5m AGL to avoid wind,Rely on LiDAR and INS for positioning,Climb to 65m AGL for signal recovery,Hover at edge of no-fly zone,Abort mission and return to runway,Switch to RGB-only navigation,"[""Continue corridor pattern using GNSS"", ""Descend to 1.5m AGL to avoid wind"", ""Rely on LiDAR and INS for positioning"", ""Climb to 65m AGL for signal recovery"", ""Hover at edge of no-fly zone"", ""Abort mission and return to runway"", ""Switch to RGB-only navigation""]","During GNSS jamming, the UAV must maintain navigation accuracy using onboard LiDAR and inertial sensors to preserve spatial coordination with planned corridor inspection. This ensures continuity in confined airspace while respecting vertical and lateral constraints. Other options either violate altitude limits, ignore sensor redundancy, or disrupt mission timing and swarming efficiency." 2025-11-01T17:50:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Package_Delivery_in_Icing_Conditions_31d766972402_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Package_Delivery_in_Icing_Conditions,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 90 m AGL, winds increase with altitude, icing reduces lift, and a moving NFZ drifts northeast at 3.6 m/s. What should the UAV do immediately?","Amphibious UAV package delivery mission in a powerline corridor. Operating in poor visibility with icing conditions and strong westerly winds increasing with altitude. UAV is a battery-powered amphibious hexacopter with fixed-wing features for efficiency. Equipped with GNSS, IMU, lidar, RGB camera, and barometer for navigation and sensing. Payload is 2 kg, adding aerodynamic drag during flight. Flight envelope restricted between 10 m and 120 m AGL within a defined polygon geofence. Static no-fly zone near the center and a moving NFZ drifting northeast at 3.6 m/s. Dynamic obstacle and another UAV traffic present, requiring separation assurance. GNSS multipath and electromagnetic interference degrade positioning accuracy. Icing event occurs mid-mission, reducing lift and increasing weight temporarily.",Climb to 120 m AGL to clear moving NFZ faster,Descend to 10 m AGL and continue along corridor,Turn northeast to follow moving NFZ trajectory,Divert to nearest shoreline runway now,Maintain current altitude and speed,Descend to 50 m AGL and slow to 8 m/s,Accelerate and climb toward stronger winds,"[""Climb to 120 m AGL to clear moving NFZ faster"", ""Descend to 10 m AGL and continue along corridor"", ""Turn northeast to follow moving NFZ trajectory"", ""Divert to nearest shoreline runway now"", ""Maintain current altitude and speed"", ""Descend to 50 m AGL and slow to 8 m/s"", ""Accelerate and climb toward stronger winds""]","Climbing increases exposure to icing and wind, violating safety margins. Descending to 10 m risks terrain collision and does not address NFZ drift. Diverting to shoreline runway mitigates icing, avoids NFZ, and ensures landing before endurance loss, satisfying AGL, separation, and energy constraints." 2025-11-01T17:50:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Moving_NFZ_Event_at_Airport_Perimeter_c6aef1b0c2e4_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Moving_NFZ_Event_at_Airport_Perimeter,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"An amphibious UAV faces 6 m/s winds at 240°, a moving NFZ, and 10-minute limit. What balances energy, safety, and path efficiency?","This scenario involves an amphibious UAV conducting an inspection mission near an airport perimeter. The flight occurs in controlled airspace with a static no-fly zone and a moving NFZ that shifts during the mission. Weather conditions include a 6 m/s wind from 240 degrees with moderate gusts, but visibility is good. The UAV is a hybrid VTOL with fixed-wing capabilities, equipped with GNSS, IMU, lidar, and RGB camera payload. It operates within an altitude range of 5 to 120 meters AGL and must avoid both static and dynamic obstacles. A moving obstacle travels through the airspace, requiring real-time path adjustments. The mission requires use of a runway for landing and includes a time budget of 10 minutes. Separation from other traffic is monitored with a 25-meter threshold and 15-second time-to-close alert. GNSS multipath effects may occur near structures, and the UAV must manage battery reserves while navigating complex spatial constraints.",Climb to 120 m for better GNSS and wind clearance,Fly direct at 5 m AGL to minimize distance,Descend to 10 m and reduce speed for obstacle clearance,Adjust heading to 060° and increase speed to 18 m/s,"Follow curved path at 40 m AGL, updating via lidar",Hover for 30 seconds to reassess with RGB camera,Land immediately on runway to avoid NFZ conflict,"[""Climb to 120 m for better GNSS and wind clearance"", ""Fly direct at 5 m AGL to minimize distance"", ""Descend to 10 m and reduce speed for obstacle clearance"", ""Adjust heading to 060° and increase speed to 18 m/s"", ""Follow curved path at 40 m AGL, updating via lidar"", ""Hover for 30 seconds to reassess with RGB camera"", ""Land immediately on runway to avoid NFZ conflict""]","Flying at 40 m AGL balances aerodynamic stability with obstacle clearance while avoiding GNSS multipath near ground structures. Lidar-guided path updates enable real-time avoidance of the moving NFZ and obstacle under wind gusts. This conserves battery better than hovering or climbing, maintains separation, and stays within time and altitude constraints." 2025-11-01T17:50:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Powerline_Corridor_Recon_088ffd425122_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Powerline_Corridor_Recon,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"Given 6 m/s wind from 240° and thermal updrafts, what airspeed and pitch adjustment maximizes lift-to-drag ratio during transit at 80 m AGL?","This mission involves an amphibious fixed-wing UAV conducting a corridor reconnaissance along a powerline route. The operation takes place in a defined rectangular airspace with a minimum altitude of 10 meters AGL and a maximum of 120 meters AGL. Weather conditions include a 6 m/s wind from 240 degrees with gusts up to 3.5 m/s and the presence of thermal updrafts enhancing lift in specific zones. The UAV is equipped with a battery-powered propulsion system, RGB and thermal cameras, LiDAR, and standard navigation sensors. It must avoid a static no-fly zone near a power substation and a moving no-fly zone drifting northwest at 2.5 m/s. Additional hazards include a slowly moving spherical obstacle and electromagnetic interference affecting communications. The UAV must maintain GNSS and communication links, though brief downlink outages are expected between 120–135 and 480–495 seconds. The mission requires a runway-assisted takeoff and landing, with transition phases between VTOL and forward flight. Power management is critical due to high hover power draw, and the UAV must complete the looped waypoint pattern within 600 seconds while maintaining safe separation from traffic and obstacles.",Increase airspeed to 22 m/s and reduce pitch by 2°,Decrease airspeed to 14 m/s and increase pitch by 6°,Maintain 18 m/s with pitch at 4° and bank <5°,Climb at 20 m/s with 8° pitch into the wind,Descend at 24 m/s with zero pitch to reduce drag,Hover at 80 m using vertical thrust only,Turn sharply to 300° heading with 30° bank,"[""Increase airspeed to 22 m/s and reduce pitch by 2°"", ""Decrease airspeed to 14 m/s and increase pitch by 6°"", ""Maintain 18 m/s with pitch at 4° and bank <5°"", ""Climb at 20 m/s with 8° pitch into the wind"", ""Descend at 24 m/s with zero pitch to reduce drag"", ""Hover at 80 m using vertical thrust only"", ""Turn sharply to 300° heading with 30° bank""]","Maintaining 18 m/s at 4° pitch balances lift and induced drag near the minimum drag polar point. The 6 m/s wind from 240° improves ground-relative efficiency without requiring excessive angle of attack. Thermal updrafts allow slight energy harvesting, making this trim condition optimal for L/D and endurance within the altitude and power constraints." 2025-11-01T17:50:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Swarm_Coordination_in_Suburban_Dust_Storm_124a525adb56_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Swarm_Coordination_in_Suburban_Dust_Storm,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which UAV configuration best balances obstacle avoidance, swarm coordination, and endurance under dust storm conditions with 600-second mission limit?","This scenario involves a swarm of four amphibious UAVs conducting a coordinated survey mission in a suburban airspace. The UAVs operate under poor visibility due to an active dust storm, with strong winds from the southwest and gusts affecting stability. Each UAV is equipped with a comprehensive sensor suite including GNSS, IMU, camera RGB, thermal imaging, and LIDAR, supporting navigation and data collection. The amphibious UAVs are fixed-wing hybrid rotorcraft capable of water landings, with a payload including imaging systems. A static no-fly zone and a moving dynamic no-fly zone require real-time avoidance, along with a drifting spherical obstacle. GNSS multipath and electromagnetic interference degrade positioning accuracy, increasing navigation challenges. The swarm must maintain a minimum separation of 10 meters while coordinating roles such as leader, follower, scout, and relay. Communication experiences two brief downlink loss windows, testing autonomous resilience. Flight altitude is constrained between 10 and 120 meters AGL within a defined polygonal geofence. The mission must be completed within a 600-second time budget, with safe return to a preferred or emergency landing site based on battery and environmental conditions.","Fixed-wing only, no rotor assist, max speed 25 m/s","Hybrid rotorcraft, full sensor suite, amphibious capability","Multirotor dominant, high hover precision, limited range","Glider-type, low power, no vertical takeoff support","Single rotor upgrade, reduced payload, faster processing","Lightweight frame, minimal sensors, high wind vulnerability","GNSS-dependent, IMU backup, no LIDAR or visual nav","[""Fixed-wing only, no rotor assist, max speed 25 m/s"", ""Hybrid rotorcraft, full sensor suite, amphibious capability"", ""Multirotor dominant, high hover precision, limited range"", ""Glider-type, low power, no vertical takeoff support"", ""Single rotor upgrade, reduced payload, faster processing"", ""Lightweight frame, minimal sensors, high wind vulnerability"", ""GNSS-dependent, IMU backup, no LIDAR or visual nav""]","Hybrid rotorcraft enable vertical operations and stable forward flight, critical for amphibious use and wind resistance. Full sensor suite ensures resilient navigation despite GNSS degradation and dynamic obstacles. Other options sacrifice endurance, adaptability, or fault tolerance under multipath and communication loss." 2025-11-01T17:50:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Snowfall_Survey_in_Urban_Canyon_94f003ea7550_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Snowfall_Survey_in_Urban_Canyon,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During a 30-second GNSS jamming event at 45 m AGL with 12 m/s gusts, how should the UAV maintain position integrity?","This is a survey mission conducted by an amphibious UAV in a forested urban canyon environment with heavy snowfall and poor visibility. The UAV operates within an airspace bounded between 5 and 120 meters AGL, navigating around static and dynamic no-fly zones, including a moving cylindrical obstacle. Weather conditions include strong winds up to 12 m/s with gusts, shifting wind direction with altitude, and active snowfall affecting visibility and flight stability. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other sensors, but faces GNSS multipath effects, electromagnetic interference, and a planned 30-second GNSS jamming event. A traffic UAV approaches from outside the operational area, requiring separation management with a 25-meter threshold. The mission involves a corridor-style waypoint pattern totaling four survey points, with a time limit of 600 seconds and no runway requirement. The UAV must avoid collisions, maintain safe separation, and manage battery reserves under challenging aerodynamic and environmental loads. Communication includes a brief downlink loss window, requiring robust data handling. The amphibious design supports potential water landings, though the primary landing zone is on solid ground. Mission success depends on completing the survey while adhering to altitude, battery, and safety constraints.",Rely solely on encrypted GNSS with anti-jam antenna,Switch to lidar-IMU dead reckoning with spoofing detection,Use unencrypted RF beacon triangulation for positioning,Hover using barometer-only altitude with open telemetry,Follow last GNSS fix with no sensor cross-verification,Ascend to 120 m AGL for clearer GNSS signal recovery,Transmit unauthenticated control commands via mesh link,"[""Rely solely on encrypted GNSS with anti-jam antenna"", ""Switch to lidar-IMU dead reckoning with spoofing detection"", ""Use unencrypted RF beacon triangulation for positioning"", ""Hover using barometer-only altitude with open telemetry"", ""Follow last GNSS fix with no sensor cross-verification"", ""Ascend to 120 m AGL for clearer GNSS signal recovery"", ""Transmit unauthenticated control commands via mesh link""]","Lidar-IMU fusion provides resilient positioning during GNSS denial, maintaining control stability under wind gusts. It ensures data integrity and avoids spoofing risks. This method supports secure, accurate navigation without relying on compromised signals." 2025-11-01T17:50:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Thermal_Soaring_Harbor_d1be5eb1196f_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Thermal_Soaring_Harbor,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"With 10-minute mission limit, 30% battery reserve, and 15s TTC, how should the UAV prioritize tasks near drifting no-fly zone?","This is a search and rescue mission conducted in a harbor airspace using an amphibious fixed-wing VTOL UAV equipped with thermal and RGB cameras, LiDAR, and standard navigation sensors. The UAV operates within an altitude range of 5 to 120 meters AGL, navigating a predefined corridor pattern across four waypoints. The environment features strong and increasing wind with altitude, poor visibility, and icing conditions that temporarily degrade performance. Thermal updrafts are present and can be exploited for energy-efficient soaring. Significant GNSS challenges exist due to multipath effects, moderate jamming, and electromagnetic interference, requiring robust sensor fusion. The airspace contains a static no-fly zone near the center and a moving no-fly zone drifting westward, along with dynamic traffic and a moving spherical obstacle. The UAV must maintain separation from obstacles and other traffic, with DAA thresholds set at 25 meters and 15 seconds TTC. It must also comply with geofencing, avoid NFZ breaches, and plan for a runway-assisted landing, with preferred and emergency landing sites designated. The mission is further constrained by a 10-minute time budget, communication dropouts, and a battery reserve requirement of 30%.",Circle thermal updraft to recharge battery passively,Ascend to 120m for better GNSS signal clarity,Delay waypoint progression to await comms restoration,Adjust track early to avoid moving obstacle and NFZ convergence,Switch to LiDAR-only mode to reduce sensor interference,Eject emergency beacon at midpoint regardless of findings,Proceed to emergency landing site preemptively due to icing,"[""Circle thermal updraft to recharge battery passively"", ""Ascend to 120m for better GNSS signal clarity"", ""Delay waypoint progression to await comms restoration"", ""Adjust track early to avoid moving obstacle and NFZ convergence"", ""Switch to LiDAR-only mode to reduce sensor interference"", ""Eject emergency beacon at midpoint regardless of findings"", ""Proceed to emergency landing site preemptively due to icing""]","D ensures proactive collision avoidance while maintaining mission timeline and separation from dynamic obstacles. It respects TTC and geofencing constraints, enabling safe coordination with moving NFZ. Other choices either waste time, increase risk, or abandon objectives prematurely." 2025-11-01T17:50:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Swarm_Inspection_Under_Rain_355830550a3d_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Swarm_Inspection_Under_Rain,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"During icing and GNSS jamming at -75 dBm, swarm must inspect powerline corridor between 10–120 m AGL with 25 m separation and avoid static/moving NFZs.","Amphibious UAV swarm conducts powerline corridor inspection under rainy and icy conditions. Operations occur in a 1.5 km × 1.5 km airspace with altitude limits from 10 to 120 meters AGL. Moderate winds increase with altitude, shifting direction and including gusts up to 4 m/s. Four amphibious fixed-wing VTOL UAVs with RGB and thermal cameras, LiDAR, and full avionics suite form a cooperative swarm. Payload includes sensors for visual and thermal inspection, with added drag and mass from amphibious design. Mission faces GNSS multipath, periodic jamming at -75 dBm, and electromagnetic interference. A static no-fly zone blocks the central area, while a moving no-fly cylinder drifts through the corridor. Dynamic separation of 25 meters is required between swarm UAVs, and DAA systems monitor traffic and obstacles. A single intruder UAV crosses the airspace, and a moving spherical obstacle adds complexity. Icing and GNSS jamming faults are injected during flight, challenging navigation and control.",Climb to 110 m AGL to reduce multipath and maintain heading,Descend to 15 m AGL and proceed in echelon formation,Split swarm into pairs and ascend above 120 m AGL,Divert to nearest amphibious runway at reduced speed,Hover in place at current altitude until jamming subsides,Reduce separation to 15 m to tighten formation and descend,Execute coordinated lateral bypass of moving NFZ at 80 m AGL,"[""Climb to 110 m AGL to reduce multipath and maintain heading"", ""Descend to 15 m AGL and proceed in echelon formation"", ""Split swarm into pairs and ascend above 120 m AGL"", ""Divert to nearest amphibious runway at reduced speed"", ""Hover in place at current altitude until jamming subsides"", ""Reduce separation to 15 m to tighten formation and descend"", ""Execute coordinated lateral bypass of moving NFZ at 80 m AGL""]","Option G maintains 25 m separation, stays within 10–120 m AGL limits, and avoids the moving NFZ without increasing icing exposure. Other options violate altitude, separation, or endurance constraints, or increase risk during GNSS degradation." 2025-11-01T17:50:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Thermal_Updraft_Training_in_Underground_Mine_with_Icing_55896d9c1bbe_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Thermal_Updraft_Training_in_Underground_Mine_with_Icing,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 58m AGL, icing reduces lift and battery is at 22%. A moving sphere approaches. Should the UAV continue training?","This mission involves thermal updraft training using an amphibious UAV in an underground mine environment. The airspace is confined within a polygonal geofence, with a maximum altitude of 60 meters AGL and a no-fly zone near the center. Weather conditions include moderate wind from the west, gusts, poor visibility, and active icing conditions that impact UAV performance. The UAV is a battery-powered, fixed-wing amphibious type equipped with thermal and RGB cameras, LIDAR, and standard navigation sensors. Notable constraints include GNSS signal degradation due to multipath and jamming, electromagnetic interference, and temporary uplink loss. The UAV must navigate through thermal plumes to train energy harvesting while avoiding a moving spherical obstacle and maintaining separation from other traffic. It follows a spiral pattern along predefined waypoints and requires a runway-style approach for landing. Icing events and battery reserve limits add operational risk, requiring careful energy and trajectory management. The mission emphasizes resilience to sensor faults, communication dropouts, and environmental hazards in a GPS-challenged underground setting.",Continue pattern; prioritize energy harvesting above all.,Descend immediately to avoid collision and conserve power.,Climb to 60m for clearer thermal updrafts and signal.,Eject payload to reduce weight and improve glide ratio.,Enter no-fly zone briefly to escape the obstacle’s path.,Switch to RGB-only mode to save power and persist.,Abort mission and execute emergency landing at nearest clear zone.,"[""Continue pattern; prioritize energy harvesting above all."", ""Descend immediately to avoid collision and conserve power."", ""Climb to 60m for clearer thermal updrafts and signal."", ""Eject payload to reduce weight and improve glide ratio."", ""Enter no-fly zone briefly to escape the obstacle’s path."", ""Switch to RGB-only mode to save power and persist."", ""Abort mission and execute emergency landing at nearest clear zone.""]","Human safety and aircraft control must supersede training objectives. With icing, low battery, and an approaching obstacle, continued flight risks uncontrolled impact. Aborting ensures containment within geofenced, safe recovery, minimizing harm and adhering to emergency hierarchy." 2025-11-01T17:50:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Urban_Canyon_GNSS_Challenge_6c989effc621_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Urban_Canyon_GNSS_Challenge,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During a 45-second GNSS jamming fault in strong wind, how should the UAV maintain position integrity and control?","This is an amphibious fixed-wing UAV conducting an urban inspection mission in a coastal airspace with strong winds and thermal updrafts. The UAV operates within a defined corridor bounded by geofences and must avoid both static and moving obstacles. It features GNSS, LiDAR, and RGB camera sensors but faces significant GNSS multipath and jamming interference, especially during a planned 45-second GNSS jamming fault. The urban canyon environment creates challenging wind gradients with increasing speed and shifting direction at higher altitudes. A dynamic no-fly zone moves through the airspace, requiring real-time path adjustments. The UAV must follow a transition profile when switching between VTOL and forward flight modes and land on a designated runway. It carries a 1.2 kg payload and must manage battery reserves carefully under high wind and manoeuvring loads. Air traffic includes another UAV entering the airspace, with minimum separation requirements enforced. Mission success depends on timely waypoint completion, avoiding collisions, and maintaining safe separation and altitude within strict operational constraints.",Rely solely on unfiltered GNSS during jamming to preserve continuity,Switch to LiDAR-aided inertial navigation with encrypted sensor fusion,Disable geofences to allow free drift under loss of positioning,Transmit unencrypted telemetry to reduce processing during fault,Use open-loop actuator commands to maintain flight path,Accept spoofed GNSS signals if signal strength is high,Increase control loop frequency without adjusting sensor input latency,"[""Rely solely on unfiltered GNSS during jamming to preserve continuity"", ""Switch to LiDAR-aided inertial navigation with encrypted sensor fusion"", ""Disable geofences to allow free drift under loss of positioning"", ""Transmit unencrypted telemetry to reduce processing during fault"", ""Use open-loop actuator commands to maintain flight path"", ""Accept spoofed GNSS signals if signal strength is high"", ""Increase control loop frequency without adjusting sensor input latency""]","B ensures position integrity by fusing trusted LiDAR with inertial data, preserving control during GNSS denial. Encrypted fusion prevents spoofing injection and maintains confidentiality. It enables resilient, authenticated state estimation while sustaining stability in wind gradients." 2025-11-01T17:50:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Urban_Canyon_Inspection_be4bd83fe87c_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Urban_Canyon_Inspection,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,"At 455 s, comms drop at -85 dBm RSSI with 8 m/s winds; UAV deviates toward dynamic no-fly zone. What action prioritizes safety and mission integrity?","This is an inspection mission using an amphibious fixed-wing VTOL UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place in an industrial plant environment characterized by urban canyon-like structures. Moderate winds of 8 m/s from 240° with gusts up to 4.5 m/s affect flight dynamics. The UAV must navigate within a defined airspace corridor between 5 m and 120 m AGL, avoiding static and moving obstacles. A cylindrical no-fly zone is present near the center of the area, and a second dynamic no-fly zone drifts diagonally through the space. The UAV spawns at the southeast corner and follows a predefined corridor pattern through five waypoints before returning for a runway-assisted landing. GNSS signals are degraded due to multipath effects and moderate jamming at -75 dBm, compounded by electromagnetic interference. The UAV shares airspace with another UAV traffic agent and a moving spherical obstacle, requiring adherence to a 25 m separation minimum. Communication experiences brief downlink outages between 120–130 s and 450–465 s, with minimum RSSI at -85 dBm. The mission must be completed within 600 seconds while maintaining battery reserves and avoiding geofence or altitude violations.","Continue mission, relying on autonomy to correct path","Abort immediately, land at nearest open site",Climb to 120 m AGL to clear obstacles and reassess,Descend to 5 m AGL for better signal and control,Divert 30° east to avoid no-fly zone while maintaining course,Enter no-fly zone briefly to maintain inspection schedule,Hold position at edge of no-fly zone until comms restore,"[""Continue mission, relying on autonomy to correct path"", ""Abort immediately, land at nearest open site"", ""Climb to 120 m AGL to clear obstacles and reassess"", ""Descend to 5 m AGL for better signal and control"", ""Divert 30° east to avoid no-fly zone while maintaining course"", ""Enter no-fly zone briefly to maintain inspection schedule"", ""Hold position at edge of no-fly zone until comms restore""]","Diverting east avoids the dynamic no-fly zone while preserving mission progress and maintaining safe separation. It respects airspace laws, minimizes risk in degraded comms, and avoids unnecessary descent or ascent that could compromise safety or signal stability." 2025-11-01T17:50:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Urban_Canyon_GNSS_Challenge_at_Bridge_Site_78aef006f262_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Urban_Canyon_GNSS_Challenge_at_Bridge_Site,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 120s, GNSS jamming and comms dropout occur. How should the UAV respond to maintain secure, stable flight?","This mission involves an amphibious UAV conducting an urban infrastructure inspection near a bridge site. The flight occurs in a confined airspace bounded by a 200m x 150m geofenced polygon with a cylindrical no-fly zone at its center. Operating under poor visibility and icing conditions, the UAV faces strong, gusty winds increasing with altitude and shifting direction. The UAV is a hybrid electric rotorcraft with fixed-wing features, equipped with GNSS, IMU, lidar, and RGB camera for navigation and data collection. It must navigate urban canyon effects that cause significant GNSS multipath and electromagnetic interference, with moderate jamming present. The flight profile includes transitioning between vertical and forward flight, requiring use of a designated runway for takeoff and landing. A second UAV and a moving obstacle pose collision risks, requiring adherence to 25m separation and DAA thresholds. The mission is further challenged by an in-flight icing event degrading performance for two minutes. Communication dropouts occur briefly at 120 and 300 seconds, testing link resilience. The UAV must complete its corridor inspection pattern within 10 minutes while managing reduced battery efficiency and avoiding stalls or breaches.",Switch to lidar-aided IMU with encrypted DAA updates,Rely solely on unverified GNSS until signal stabilizes,Transmit unencrypted telemetry to confirm position,Disable DAA to reduce processing during outage,Use open-loop control based on last known waypoint,Accept all commands from ground via unauthenticated link,Freeze actuators until GNSS returns after 300s,"[""Switch to lidar-aided IMU with encrypted DAA updates"", ""Rely solely on unverified GNSS until signal stabilizes"", ""Transmit unencrypted telemetry to confirm position"", ""Disable DAA to reduce processing during outage"", ""Use open-loop control based on last known waypoint"", ""Accept all commands from ground via unauthenticated link"", ""Freeze actuators until GNSS returns after 300s""]","A ensures continuity via sensor fusion (lidar + IMU) while maintaining encrypted, authenticated data links for collision avoidance. It mitigates jamming and dropout by degrading gracefully without sacrificing security or control stability. Other options expose the UAV to spoofing, denial of mission, or loss of separation." 2025-11-01T17:50:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Warehouse_Inspection_Coastal_Gusts_b81f4f8ee122_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Warehouse_Inspection_Coastal_Gusts,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"With 8 m/s westerly winds and a moving UAV from the north, which action maintains 15 m separation and avoids dynamic obstacles within 10 minutes?","This mission involves an amphibious UAV conducting a warehouse inspection in a coastal airspace. The UAV operates within a defined corridor between 5 and 60 meters AGL, navigating a rectangular geofenced area. Weather includes strong westerly winds at 8 m/s with gusts up to 4.5 m/s, impacting stability and energy use. The UAV is equipped with GNSS, IMU, lidar, and RGB camera, relying on battery power with a 650 Wh capacity. A static no-fly zone is present near the center of the area, and a moving no-fly zone drifts southeast, requiring dynamic avoidance. A moving spherical obstacle also traverses the path, demanding real-time navigation adjustments. Another UAV enters the airspace from the north, enforcing separation requirements of at least 15 meters and a time-to-closest-approach threshold of 10 seconds. The mission follows a predefined waypoint pattern with a 10-minute time limit and must avoid both geofence and altitude violations. Battery reserve is set to 30%, and energy consumption is closely tied to speed and wind resistance. GNSS multipath effects may occur near structures, and landing options include a preferred site in the northeast and an emergency site in the northwest.",Increase speed to 12 m/s to bypass moving obstacle early,Descend to 5 m AGL to reduce wind resistance and save energy,Adjust heading southeast to align with drift of moving no-fly zone,Maintain current course; rely on GNSS for collision avoidance,Coordinate speed reduction with northbound UAV via data link,Climb to 60 m AGL for clearer lidar coverage of static zone,Abort mission and divert to emergency landing in northwest,"[""Increase speed to 12 m/s to bypass moving obstacle early"", ""Descend to 5 m AGL to reduce wind resistance and save energy"", ""Adjust heading southeast to align with drift of moving no-fly zone"", ""Maintain current course; rely on GNSS for collision avoidance"", ""Coordinate speed reduction with northbound UAV via data link"", ""Climb to 60 m AGL for clearer lidar coverage of static zone"", ""Abort mission and divert to emergency landing in northwest""]","Coordinating speed reduction ensures time-to-closest-approach stays above 10 seconds while maintaining energy efficiency. It enables decentralized synchronization of trajectories without aggressive maneuvers. This preserves battery, respects separation, and adapts to both dynamic obstacles and wind-induced drift." 2025-11-01T17:50:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Warehouse_Inspection_in_Dusty_Forest_Airspace_2ce0aac5ca60_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Warehouse_Inspection_in_Dusty_Forest_Airspace,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which UAV configuration best balances dust tolerance, energy use, and obstacle avoidance in 7.5 m/s winds with 30% battery reserve?","This is an inspection mission using an amphibious UAV in a forested airspace with dusty conditions and poor visibility. The UAV operates within a defined rectangular geofence at altitudes between 5 and 60 meters AGL. Weather includes 7.5 m/s winds from 240 degrees with gusts up to 4.2 m/s, impacting stability and visibility. The UAV is battery-powered, equipped with GNSS, IMU, lidar, and RGB camera for navigation and inspection tasks. A static no-fly zone is present near the center of the airspace, and a second dynamic no-fly zone moves slowly through the area. The mission must avoid collisions with a moving obstacle and another UAV flying through the airspace. Separation minima are enforced with a 15-meter threshold and 10-second time-to-closest-approach buffer. GNSS multipath may occur due to forest canopy and dust interference, affecting positioning accuracy. The UAV must complete its corridor-style waypoint route within 600 seconds while maintaining safe altitude and avoiding all restricted zones. Battery reserve is set to 30%, limiting available energy for extended maneuvers or wind compensation.",Monocular vision with lightweight frame and low power draw,Dual IMUs with redundant GNSS but no lidar for dust,"High-resolution RGB only, no sensor fusion, minimal weight",Lidar-primary navigation with sensor fusion and wind rejection,Extended range via reduced battery reserve to 15%,"Acoustic sensors for proximity, no GNSS, high dust tolerance",Solar-assisted flight with added weight and lower maneuverability,"[""Monocular vision with lightweight frame and low power draw"", ""Dual IMUs with redundant GNSS but no lidar for dust"", ""High-resolution RGB only, no sensor fusion, minimal weight"", ""Lidar-primary navigation with sensor fusion and wind rejection"", ""Extended range via reduced battery reserve to 15%"", ""Acoustic sensors for proximity, no GNSS, high dust tolerance"", ""Solar-assisted flight with added weight and lower maneuverability""]","Lidar provides reliable obstacle detection in dusty, low-visibility conditions where vision systems fail. Sensor fusion with GNSS and IMU improves positioning under canopy and wind disturbances. This option maintains safety, meets time and altitude constraints, and operates within battery limits while others sacrifice critical capabilities." 2025-11-01T17:50:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Amphibious_Glider_Thermal_Soaring_with_Microburst_Risk_cd140f2bc366_mcq.json,uavbench-mcq-v1,Arctic_Amphibious_Glider_Thermal_Soaring_with_Microburst_Risk,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which UAV system best handles Arctic winds up to 13.5 m/s, GNSS degradation, and 600-second endurance with dual cameras?","This mission involves an amphibious fixed-wing UAV conducting a survey in Arctic airspace with good visibility but a risk of microbursts. The UAV operates within a defined corridor between 10 and 300 meters AGL, navigating around static and moving no-fly zones. Strong, increasing winds are present with speeds rising from 8.5 m/s at ground level to 13.5 m/s at 200 meters, shifting direction with altitude. The UAV leverages thermal updrafts at two locations to extend endurance while carrying a dual RGB and thermal camera payload. GNSS signals are degraded by multipath effects and electromagnetic interference, requiring robust navigation solutions. A dynamic no-fly zone moves through the airspace, and another UAV and a moving spherical obstacle add collision risks. The mission requires a runway takeoff and landing, with strict separation and DAA thresholds for safety. Battery reserves are closely monitored, with icing conditions expected to reduce performance temporarily. Communication dropouts occur during two brief periods, challenging data downlink reliability. The UAV must complete its waypoint corridor within 600 seconds while avoiding constraints and returning safely to land.",Lightweight carbon frame; minimal redundancy; single GNSS; low power draw,Fixed-wing with amphibious capability; dual GNSS/INS; obstacle-avoidance radar,Quadcopter VTOL; terrain-following lidar; high battery capacity; slow cruise,Glider-type; solar-assisted; no real-time DAA; relies on thermal updrafts,Twin-engine; mechanical de-icing; single camera; high fuel consumption,Fixed-wing; RTK-only navigation; no backup comms; fast dash speed,Foam-bodied UAV; low cost; no de-icing; basic camera; no wind compensation,"[""Lightweight carbon frame; minimal redundancy; single GNSS; low power draw"", ""Fixed-wing with amphibious capability; dual GNSS/INS; obstacle-avoidance radar"", ""Quadcopter VTOL; terrain-following lidar; high battery capacity; slow cruise"", ""Glider-type; solar-assisted; no real-time DAA; relies on thermal updrafts"", ""Twin-engine; mechanical de-icing; single camera; high fuel consumption"", ""Fixed-wing; RTK-only navigation; no backup comms; fast dash speed"", ""Foam-bodied UAV; low cost; no de-icing; basic camera; no wind compensation""]","System B provides amphibious operation, dual GNSS/INS for degraded signals, and DAA radar for dynamic obstacles, ensuring safety and mission completion. It balances endurance, wind resilience, and sensor requirements within the 600-second window. Other options lack critical redundancy, navigation robustness, or environmental adaptability." 2025-11-01T17:50:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_VTOL_Transition_Test_in_Underground_Mine_a0044509297a_mcq.json,uavbench-mcq-v1,Amphibious_VTOL_Transition_Test_in_Underground_Mine,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best handles icing, GNSS denial, and 50 m AGL limits in 600 s?","This mission involves an amphibious VTOL UAV conducting an inspection in an underground mine. The confined airspace is defined by a polygonal geofence with a maximum altitude of 50 meters AGL. Poor visibility and icing conditions are present, with a constant headwind of 3 m/s from the south. The UAV is equipped with lidar, RGB camera, and inertial sensors but lacks GNSS, relying on alternative navigation due to GNSS multipath and electromagnetic interference. A no-fly zone cylinder blocks the central area, requiring careful path planning. The UAV must transition between hover and forward flight, with defined transition times of 8 and 10 seconds respectively. A second UAV and a moving spherical obstacle create dynamic traffic, requiring separation monitoring. Communication suffers from intermittent uplink loss and low signal quality. An icing fault event occurs mid-mission, degrading performance for one minute. The mission must be completed within 600 seconds, returning to a designated runway-aligned landing site.",Fixed-wing with RTK backup and de-icing boots,Quadcopter with lidar SLAM and battery heater,Tilt-rotor with ice-resistant coatings and VIO,Hybrid VTOL with redundant IMUs and low-latency link,Glider UAV with thermal camera and wind compensation,Octocopter with dual-computing and RF triangulation,Ducted-fan VTOL with acoustic altimeter only,"[""Fixed-wing with RTK backup and de-icing boots"", ""Quadcopter with lidar SLAM and battery heater"", ""Tilt-rotor with ice-resistant coatings and VIO"", ""Hybrid VTOL with redundant IMUs and low-latency link"", ""Glider UAV with thermal camera and wind compensation"", ""Octocopter with dual-computing and RF triangulation"", ""Ducted-fan VTOL with acoustic altimeter only""]","The tilt-rotor balances forward efficiency and hover precision, enabling transition within 8–10 s. Ice-resistant coatings mitigate icing fault impact, while visual-inertial odometry (VIO) enables GNSS-free navigation in confined spaces. Other options lack either endurance, fault tolerance, or sensor fusion for reliable underground operation." 2025-11-01T17:50:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Amphibious_UAV_Emergency_Landing_Due_to_Battery_Depletion_in_Sandstorm_90706a4e4c53_mcq.json,uavbench-mcq-v1,Arctic_Amphibious_UAV_Emergency_Landing_Due_to_Battery_Depletion_in_Sandstorm,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 480 s, motor fails with 30% battery reserve, 120 s left, strong SW winds: which action balances fault response, energy, and landing?","This scenario involves a search and rescue mission in arctic airspace with poor visibility due to an active sandstorm and strong winds from the southwest. The UAV is an amphibious multirotor with fixed-wing features, equipped with RGB and thermal cameras, LiDAR, radar, and full navigation sensors. It operates within a confined rectangular geofenced area with a cylindrical no-fly zone near the center. The UAV must maintain separation of at least 25 meters from other traffic and avoid a moving spherical obstacle drifting southwest. GNSS signal degradation is expected due to environmental multipath common in arctic terrain. The mission has a strict 600-second time budget and requires a runway landing, though an emergency site is available. Battery depletion is a critical constraint, with a reserve fraction of 30% and a high hover power draw, exacerbated by wind and gusts. A motor failure fault is injected at 480 seconds, reducing thrust by 40% temporarily. The UAV spawns mid-mission and must complete a corridor search pattern while managing energy, weather, dynamic obstacles, and traffic.",Descend immediately to save power and hover below wind effects,Maintain altitude and speed to ensure radar tracking of obstacle,Abort search and fly direct to emergency site at maximum speed,Reduce speed by 50% to conserve energy while holding current heading,Climb 20 m to improve GNSS signal and avoid obstacle drift path,Bank sharply to exit geofence and reposition upwind for landing,"Engage fixed-wing glide mode, reduce thrust, and route to runway","[""Descend immediately to save power and hover below wind effects"", ""Maintain altitude and speed to ensure radar tracking of obstacle"", ""Abort search and fly direct to emergency site at maximum speed"", ""Reduce speed by 50% to conserve energy while holding current heading"", ""Climb 20 m to improve GNSS signal and avoid obstacle drift path"", ""Bank sharply to exit geofence and reposition upwind for landing"", ""Engage fixed-wing glide mode, reduce thrust, and route to runway""]","G balances energy conservation, fault adaptation, and safe return by leveraging fixed-wing efficiency under reduced thrust. It avoids high hover power while maintaining forward motion and control in degraded GNSS and wind. Other options fail by increasing energy use, risking obstacle collision, or violating time and reserve constraints." 2025-11-01T17:50:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Area_Recon_with_Octocopter_006b8b07988e_mcq.json,uavbench-mcq-v1,Arctic_Area_Recon_with_Octocopter,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"At 210s, moderate icing hits; wind is 8.5 m/s W, GNSS jamming starts at 400s. Maintain 30–120m AGL in snow with a moving no-fly zone at 1.7 m/s.","The mission is an area reconnaissance using an octocopter in a confined Arctic airspace. The UAV operates within a defined polygonal geofence, flying between 30 and 120 meters AGL. Weather includes 8.5 m/s winds from the west, gusts up to 4.2 m/s, snowfall, and icing conditions. The octocopter carries a multi-sensor payload including RGB and thermal cameras, LiDAR, and standard navigation sensors. GNSS multipath and intermittent jamming at -95 dBm degrade positioning, with a 30-second GNSS jamming fault scheduled at 400 seconds. A dynamic no-fly zone moves through the airspace at 1.7 m/s, requiring real-time avoidance. A second UAV and a moving spherical obstacle create traffic separation challenges with a 25-meter separation threshold. Icing conditions reduce performance, with a moderate icing event simulated at 210 seconds. Communication experiences two brief downlink loss windows. The UAV must complete its corridor-style waypoint mission within 600 seconds while managing battery reserves and avoiding constraints.",Climb to 110m for better GNSS reception and obstacle clearance,Descend to 35m to reduce wind exposure and save power,Hold position at 75m until GNSS jamming subsides at 430s,Increase speed to 15 m/s to finish before battery depletes,"Reduce speed to 8 m/s, ascend to 90m, use LiDAR for navigation",Switch to thermal-only mode to conserve power and descend to 30m,Follow the no-fly zone boundary at 40m while reducing thrust by 15%,"[""Climb to 110m for better GNSS reception and obstacle clearance"", ""Descend to 35m to reduce wind exposure and save power"", ""Hold position at 75m until GNSS jamming subsides at 430s"", ""Increase speed to 15 m/s to finish before battery depletes"", ""Reduce speed to 8 m/s, ascend to 90m, use LiDAR for navigation"", ""Switch to thermal-only mode to conserve power and descend to 30m"", ""Follow the no-fly zone boundary at 40m while reducing thrust by 15%""]","Reducing speed conserves energy and improves control in icing, while ascending to 90m balances clearance from obstacles and reduced wind shear. Using LiDAR maintains navigation accuracy during GNSS jamming and snowfall, ensuring safe, compliant progress within geofence and traffic constraints." 2025-11-01T17:50:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Battery_Emergency_Forced_Landing_5ed1c528e42c_mcq.json,uavbench-mcq-v1,Arctic_Battery_Emergency_Forced_Landing,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"At 7.5 minutes, with GNSS jammed and 50m DAA required, how should both UAVs coordinate?","Heavy-lift UAV conducts Arctic search and rescue in poor visibility with snowfall and icing conditions. Operating in a constrained polygonal airspace with a static no-fly zone near a dynamic moving restricted area. UAV carries a multi-sensor payload including LiDAR, RGB and thermal cameras, relying on GNSS/IMU navigation. Strong 8.5 m/s winds from the northwest with gusts up to 4.2 m/s challenge flight stability. Mission requires flying a corridor pattern across four waypoints within a 10-minute time budget. An icing event at 7 minutes reduces performance, followed by GNSS jamming lasting 45 seconds. Downlink is lost during critical phases, limiting telemetry and command confirmation. A second UAV and a moving spherical obstacle increase collision risk, requiring DAA separation of 50 meters. Emergency landing sites are available at two designated ground locations. Battery degradation and energy constraints are critical due to high hover power and reserve requirements.",Both UAVs descend to hover and await signal recovery,"Primary UAV continues corridor with inertial nav, secondary monitors thermal feed",Both UAVs return to base to avoid collision in no-fly zone,Secondary UAV assumes lead and reroutes primary via datalink,UAVs reduce separation to 30m to share sensor coverage,"Primary UAV aborts, secondary expands search pattern",Both UAVs simultaneously switch to LiDAR-only mode,"[""Both UAVs descend to hover and await signal recovery"", ""Primary UAV continues corridor with inertial nav, secondary monitors thermal feed"", ""Both UAVs return to base to avoid collision in no-fly zone"", ""Secondary UAV assumes lead and reroutes primary via datalink"", ""UAVs reduce separation to 30m to share sensor coverage"", ""Primary UAV aborts, secondary expands search pattern"", ""Both UAVs simultaneously switch to LiDAR-only mode""]","Primary UAV maintains mission progress using inertial navigation during GNSS outage while secondary UAV supports with real-time thermal data, preserving situational awareness. This ensures task continuity, respects 50m DAA, and leverages multi-sensor redundancy without overloading communication. Other options violate spacing, increase risk, or waste the time budget." 2025-11-01T17:50:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Battery_Emergency_Landing_Scenario_65cdb0f24202_mcq.json,uavbench-mcq-v1,Arctic_Battery_Emergency_Landing_Scenario,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"At 180s, icing reduces performance; UAV at (90,90,45) must divert to nearest safe landing. Wind: 8.5 m/s from 240°.","This scenario involves a battery emergency forced landing mission for a quadrotor UAV in Arctic airspace. The UAV operates within a defined corridor between 10 and 120 meters AGL, bounded by a static polygon geofence. Weather conditions include strong 8.5 m/s winds from 240 degrees, gusts up to 4.2 m/s, poor visibility, snowfall, and icing conditions. The UAV is equipped with a battery-powered propulsion system and carries a 0.5 kg payload, with sensors including GNSS, IMU, lidar, RGB and thermal cameras. A static no-fly zone is present at the center of the area, and a second dynamic no-fly zone moves diagonally through the airspace. The mission begins at (20, 20, 50) and follows a waypoint corridor toward (180, 180, 30), but must divert to one of two emergency landing sites due to battery constraints. An icing event fault occurs at 180 seconds, reducing performance for one minute, while brief communication losses happen at 100 and 250 seconds. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV on a conflicting path. Key constraints include GNSS multipath risks in icy conditions, strict separation thresholds, and the need for timely emergency landing before battery depletion.","Climb to 110m, proceed to (200,50,15) via (150,70)","Descend to 20m, head directly to (180,180,30)","Turn right, fly to (120,60,10) avoiding dynamic NFZ","Retrace to start (20,20,50) using original path","Head to (200,50,15) via (130,50), maintain 40m AGL","Proceed to (180,180,30) with 5° wind compensation","Divert to (50,200,12) via (80,130), stay 10–120m AGL","[""Climb to 110m, proceed to (200,50,15) via (150,70)"", ""Descend to 20m, head directly to (180,180,30)"", ""Turn right, fly to (120,60,10) avoiding dynamic NFZ"", ""Retrace to start (20,20,50) using original path"", ""Head to (200,50,15) via (130,50), maintain 40m AGL"", ""Proceed to (180,180,30) with 5° wind compensation"", ""Divert to (50,200,12) via (80,130), stay 10–120m AGL""]","Site (50,200,12) is reachable within battery limits while maintaining 10–120m AGL and avoiding static and dynamic NFZs. The route via (80,130) accounts for 8.5 m/s crosswind from 240° and preserves clearance from moving obstacle and other UAV. Other options violate NFZs, altitude bounds, or fail to compensate for wind drift and icing-induced performance loss." 2025-11-01T17:50:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Bridge_Inspection_with_Amphibious_UAV_65619771a022_mcq.json,uavbench-mcq-v1,Arctic_Bridge_Inspection_with_Amphibious_UAV,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"With 13.5 m/s winds, icing, and GNSS multipath, which sensor fusion strategy ensures reliable navigation near the bridge?","This mission involves an amphibious UAV conducting a bridge inspection in arctic airspace. The flight occurs within a defined rectangular geofence, with operations near a runway requiring precise takeoff and landing alignment. Strong winds up to 13.5 m/s increase with altitude and shift direction, posing control challenges. Icing conditions are present, with a simulated icing event degrading performance mid-mission. The UAV is equipped with RGB and thermal cameras, LiDAR, and radar, supporting inspection under harsh conditions. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference affects sensor reliability. A static no-fly zone blocks access near the bridge center, and a moving obstacle drifts through the area, requiring dynamic avoidance. Air traffic includes a crossing UAV, and separation standards must be maintained to avoid breaches. The mission must be completed within 600 seconds, with sufficient battery reserve for safe return and landing.",Prioritize GNSS due to high update rate,Rely solely on IMU during radar occlusion,Use LiDAR-only mapping in blowing snow,Fuse IMU with visual odometry in low visibility,Trust thermal camera for position correction,Depend on magnetic heading under EMI,Switch to barometer-only altitude hold,"[""Prioritize GNSS due to high update rate"", ""Rely solely on IMU during radar occlusion"", ""Use LiDAR-only mapping in blowing snow"", ""Fuse IMU with visual odometry in low visibility"", ""Trust thermal camera for position correction"", ""Depend on magnetic heading under EMI"", ""Switch to barometer-only altitude hold""]",Visual odometry fused with IMU maintains positioning accuracy when GNSS degrades due to multipath and jamming. It resists wind-induced drift better than inertial-only solutions and remains functional despite electromagnetic interference. This fusion adapts to low-visibility icing conditions better than LiDAR or GNSS-dependent methods. 2025-11-01T17:50:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Convertiplane_Swarm_Survey_342d7e673a53_mcq.json,uavbench-mcq-v1,Arctic_Convertiplane_Swarm_Survey,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"At 190s, during comms dropout and GNSS degradation, how should UAVs maintain swarm integrity and navigation?","This scenario involves a swarm of four convertiplane UAVs conducting an Arctic survey mission in poor visibility with active snowfall and icing conditions. The operation takes place within a defined polygonal airspace bounded between 20 and 300 meters AGL, near a runway aligned at 90 degrees. Strong, variable winds increase with altitude, shifting direction from northwest to west, and thermal updrafts are present near coordinates (1200, 800). Each UAV is equipped with a battery-powered propulsion system, RGB and thermal cameras, LiDAR, and full navigation sensors, but faces GNSS signal degradation due to multipath and electromagnetic interference. The mission requires flying a corridor pattern through five waypoints while avoiding two no-fly zones—one static and one moving—and maintaining a minimum 30-meter separation within the swarm. A traffic UAV and a moving spherical obstacle add complexity, requiring detect-and-avoid compliance with a 25-meter separation threshold. Battery reserve is set to 30%, and the aircraft must return to a designated runway for landing, which is also required for mission completion. An icing fault event occurs at 240 seconds, reducing performance for one minute, while communication dropouts are expected between 180–200 and 420–440 seconds. The UAVs must complete the survey within a 600-second time budget while avoiding geofence breaches, collisions, and altitude violations, with performance monitored across 14 key metrics.",Rely solely on last-known GNSS position for routing,Switch to LiDAR-aided INS with encrypted peer-to-peer relative positioning,Increase broadcast rate of unencrypted telemetry to share state,Hover using optical flow until comms and GNSS restore,Disable thermal cameras to allocate power to GPS receiver,Use open wireless channel to request ground station override,Follow nearest UAV without cross-verifying sensor data,"[""Rely solely on last-known GNSS position for routing"", ""Switch to LiDAR-aided INS with encrypted peer-to-peer relative positioning"", ""Increase broadcast rate of unencrypted telemetry to share state"", ""Hover using optical flow until comms and GNSS restore"", ""Disable thermal cameras to allocate power to GPS receiver"", ""Use open wireless channel to request ground station override"", ""Follow nearest UAV without cross-verifying sensor data""]","Encrypted peer-to-peer links preserve data integrity and confidentiality during comms dropouts, while LiDAR-aided INS compensates for GNSS degradation. This maintains control stability and swarm separation without exposing attack surfaces. Other options increase vulnerability to spoofing, denial-of-service, or single-point failures." 2025-11-01T17:50:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Convoy_Escort_Mission_857590bcc57d_mcq.json,uavbench-mcq-v1,Arctic_Convoy_Escort_Mission,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"During icing, with 12 m/s winds and GNSS degradation, what action maintains safety within 20–150 m AGL and 20 m swarm separation?","This is an Arctic convoy escort mission using a battery-powered octocopter equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The UAV operates in a designated airspace between 20 and 150 meters AGL over a polygonal corridor with static and moving no-fly zones. Weather conditions include strong winds up to 12 m/s, poor visibility, snowfall, and icing risks, with wind increasing and shifting direction at higher altitudes. The UAV must maintain safe separation from other traffic and dynamic obstacles, including a drifting cylindrical NFZ and a moving spherical obstacle. GNSS signals are degraded due to multipath effects and moderate jamming, while electromagnetic interference and occasional comms dropouts add complexity. The mission involves a three-UAV swarm with leader, follower, and relay roles, requiring inter-UAV separation of at least 20 meters. The octocopter must complete a time-constrained route with four waypoints while managing battery reserves and performance loss during an induced icing event. Launch occurs from a fixed position with designated preferred and emergency landing sites. Flight control uses discrete actions, and collision avoidance is enforced through DAA thresholds for separation and time-to-closest-approach. Key mission risks include battery depletion, NFZ breaches, sensor degradation, and loss of comms or control during adverse weather.",Climb to 160 m AGL for better GNSS signal,Descend to 15 m AGL to reduce wind exposure,Hold altitude at 140 m with increased thrust,Divert to emergency landing site maintaining 25 m separation,Accelerate to exit icing zone rapidly,Descend to 100 m and reduce speed to save battery,Maintain course at 150 m AGL through drifting NFZ,"[""Climb to 160 m AGL for better GNSS signal"", ""Descend to 15 m AGL to reduce wind exposure"", ""Hold altitude at 140 m with increased thrust"", ""Divert to emergency landing site maintaining 25 m separation"", ""Accelerate to exit icing zone rapidly"", ""Descend to 100 m and reduce speed to save battery"", ""Maintain course at 150 m AGL through drifting NFZ""]","Option D avoids exceeding AGL limits, maintains swarm separation, and mitigates icing and GNSS risks by initiating a controlled abort. Other options violate altitude bounds, penetrate NFZs, worsen icing, or assume unreliable navigation. Diverting ensures compliance with energy, obstacle, and comms constraints while minimizing overall risk." 2025-11-01T17:50:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Disaster_Recon_FixedWing_6185d0940e53_mcq.json,uavbench-mcq-v1,Arctic_Disaster_Recon_FixedWing,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,UAV detects icing fault at 250m AGL with 14 m/s winds; static and moving no-fly zones active. What immediate action preserves safety and mission?,"Fixed-wing UAV conducts disaster reconnaissance in Arctic airspace. Mission takes place in a designated arctic zone with poor visibility due to snowfall. Persistent snowfall and icing conditions pose significant flight risks. UAV is equipped with radar, RGB and thermal cameras for all-weather imaging. Flight is constrained between 50m and 600m AGL within a polygonal geofence. A static no-fly zone surrounds the disaster site, with an additional moving no-fly zone. GNSS signals are degraded due to multipath and electromagnetic interference. Wind increases with altitude, reaching 14 m/s from the west at 300m. UAV must avoid traffic and a moving spherical obstacle while following a grid pattern. An icing fault event occurs mid-mission, reducing performance for one minute.",Descend to 50m AGL to reduce wind exposure,Exit geofence and return to base immediately,Climb to 600m for stable GNSS and clearer air,Continue grid pattern ignoring fault duration,Fly toward disaster site for real-time thermal data,Hover in place until icing fault clears,Redirect through moving no-fly zone to save time,"[""Descend to 50m AGL to reduce wind exposure"", ""Exit geofence and return to base immediately"", ""Climb to 600m for stable GNSS and clearer air"", ""Continue grid pattern ignoring fault duration"", ""Fly toward disaster site for real-time thermal data"", ""Hover in place until icing fault clears"", ""Redirect through moving no-fly zone to save time""]","Descending to minimum safe altitude reduces wind and icing risks while staying within operational limits. It prioritizes flight stability over data continuity without violating no-fly zones. Continuing or ascending would increase hazard exposure, risking loss of control or unlawful intrusion." 2025-11-01T17:50:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Dust_Recon_Mission_ad98aa1a7d6b_mcq.json,uavbench-mcq-v1,Arctic_Dust_Recon_Mission,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"A convertiplane UAV must search a 1 km² arctic zone with 8 m/s winds, a moving obstacle, and 10-minute time limit. How should it prioritize tasks?","The mission is a search and rescue operation in a remote arctic airspace. It takes place in a 1 km² geofenced area with a central cylindrical no-fly zone and a designated runway. Weather conditions include 8 m/s winds from the west, gusts up to 4.5 m/s, poor visibility, and airborne dust. A single convertiplane UAV is used, capable of vertical takeoff and fixed-wing flight, with a total mass of 8.5 kg. The UAV carries a 1.2 kg payload equipped with RGB and thermal cameras, supported by GNSS, IMU, lidar, and other sensors. Flight altitude is restricted between 30 m and 300 m AGL, with a time budget of 10 minutes. The UAV must avoid a moving spherical obstacle drifting west at 2 m/s and maintain 50 m separation from other traffic. GNSS multipath effects may occur near the no-fly zone, and visual navigation is impaired by dust. The mission requires runway use for takeoff and landing, with transition times between flight modes. Battery reserve is set to 30%, and the UAV must complete its corridor search pattern without breaching constraints.",Begin fixed-wing scan immediately to maximize coverage,Delay takeoff until winds drop below 6 m/s for safety,Fly at 25 m AGL to improve camera resolution,Ignore thermal sensor to reduce power consumption,Circle no-fly zone to check for GNSS multipath effects,Descend to 20 m during dust gusts for better visibility,Reserve 30% battery for return and maintain 30 m+ altitude,"[""Begin fixed-wing scan immediately to maximize coverage"", ""Delay takeoff until winds drop below 6 m/s for safety"", ""Fly at 25 m AGL to improve camera resolution"", ""Ignore thermal sensor to reduce power consumption"", ""Circle no-fly zone to check for GNSS multipath effects"", ""Descend to 20 m during dust gusts for better visibility"", ""Reserve 30% battery for return and maintain 30 m+ altitude""]","The UAV must ensure sufficient battery reserve and stay within safe altitude bounds despite wind and dust. Maintaining 30 m AGL complies with flight restrictions while preserving energy for return. Other options violate altitude, timing, or energy constraints essential for mission completion." 2025-11-01T17:51:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Bridge_Inspection_under_Low_Visibility_in_Forest_Airspace_772d41cba388_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Bridge_Inspection_under_Low_Visibility_in_Forest_Airspace,minimax/minimax-m1,9,Comparative System Reasoning,7,A,A,True,Which UAV configuration best ensures bridge inspection success at 120m AGL with 30% battery reserve and GNSS degradation?,"This mission involves an amphibious fixed-wing VTOL UAV conducting a bridge inspection in a forested area under poor visibility conditions with light rain and a low cloud ceiling. The UAV operates within a defined polygonal airspace from 5 to 120 meters AGL, navigating around static and dynamic no-fly zones, including a moving obstacle and a drifting restricted cylinder. Weather includes moderate wind at 6.5 m/s from 240° at ground level, increasing to 9.0 m/s at 50 meters, with gusts and wind shear affecting flight stability. The UAV is equipped with a comprehensive sensor suite including GNSS, IMU, LiDAR, radar, RGB and thermal cameras, supporting inspection tasks despite GNSS signal degradation from multipath and interference. Key constraints include a 30% battery reserve requirement, EM interference, and periodic communication dropouts between 120–135s and 400–415s. The UAV must follow a corridor inspection pattern between four waypoints, transitioning between VTOL and forward flight, while maintaining separation from a single intruder UAV and avoiding collisions. A designated runway is required for landing, with preferred and emergency landing sites available at opposite corners of the airspace. The mission must be completed within 600 seconds, with success contingent on adherence to altitude, separation, and NFZ clearance thresholds. Thermal updrafts near the center of the airspace may assist lift but require careful control in gusty conditions. The scenario emphasizes robust navigation, sensor fusion, and fault-resilient communication in a cluttered, signal-degraded environment.","Fixed-wing with VTOL, LiDAR-radar fusion, dual IMU","Multirotor with thermal camera, single GNSS, 4G telemetry","Fixed-wing, forward-flight only, no VTOL, LiDAR-only navigation","Hybrid VTOL with RGB-only sensing, no radar or IMU redundancy","Fixed-wing VTOL with single IMU, no LiDAR, GNSS-dependent","Quadcopter with radar and IMU, limited forward speed, 25 min endurance","Glider-type UAV, wind-assisted, no propulsion, minimal battery","[""Fixed-wing with VTOL, LiDAR-radar fusion, dual IMU"", ""Multirotor with thermal camera, single GNSS, 4G telemetry"", ""Fixed-wing, forward-flight only, no VTOL, LiDAR-only navigation"", ""Hybrid VTOL with RGB-only sensing, no radar or IMU redundancy"", ""Fixed-wing VTOL with single IMU, no LiDAR, GNSS-dependent"", ""Quadcopter with radar and IMU, limited forward speed, 25 min endurance"", ""Glider-type UAV, wind-assisted, no propulsion, minimal battery""]","System A supports VTOL for confined takeoff/landing, uses sensor fusion for robust navigation in GNSS-degraded environments, and maintains redundancy. Its energy efficiency enables 30% reserve despite wind shear and communication dropouts. Other systems lack fault tolerance, endurance, or all-weather sensing, risking mission failure." 2025-11-01T17:52:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Emergency_Medical_Delivery_with_Amphibious_UAV_3abb300ca3d8_mcq.json,uavbench-mcq-v1,Arctic_Emergency_Medical_Delivery_with_Amphibious_UAV,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"UAV must deliver in 600s with icing, GNSS jamming, 2 downlink losses, and avoid 3 obstacles. Max crosswind: 18 m/s at 120m.","This scenario involves an emergency medical delivery mission in Arctic airspace using an amphibious multirotor UAV equipped with thermal and RGB cameras, LiDAR, and full sensor suite. The UAV operates in poor visibility with hail, icing conditions, and strong, gusty winds increasing with altitude. The environment features GNSS multipath, electromagnetic interference, and moderate GNSS jamming. The UAV must follow a corridor-style waypoint path while avoiding a static no-fly zone and a moving no-fly zone drifting with velocity. A second moving spherical obstacle traverses the flight path, requiring dynamic avoidance. The mission requires runway-assisted takeoff and landing, with a preferred landing site and two emergency sites available. Communication experiences two brief downlink loss windows, and an icing fault reduces performance midway through the flight. Traffic from another UAV flying cross-path adds separation monitoring demands. The UAV must complete the delivery within 600 seconds while maintaining safe separation, battery reserves, and adherence to altitude and geofence constraints.",Climb to 150m for clearer GNSS and less drag,Descend to 30m to reduce wind exposure and save power,"Maintain 90m altitude, slow speed for obstacle clearance","Follow corridor at 110m, use LiDAR for dynamic avoidance",Divert to nearest emergency site post-icing fault,Accelerate to bypass moving obstacles before 600s,Hover until downlink resumes to ensure control,"[""Climb to 150m for clearer GNSS and less drag"", ""Descend to 30m to reduce wind exposure and save power"", ""Maintain 90m altitude, slow speed for obstacle clearance"", ""Follow corridor at 110m, use LiDAR for dynamic avoidance"", ""Divert to nearest emergency site post-icing fault"", ""Accelerate to bypass moving obstacles before 600s"", ""Hover until downlink resumes to ensure control""]","Flying at 110m balances wind exposure, sensor reliability, and obstacle clearance while staying within the corridor. LiDAR enables robust navigation under GNSS jamming and visibility issues. This choice maintains energy efficiency, safety separation, and mission timing under degraded performance from icing." 2025-11-01T17:52:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Ship_Deck_Delivery_Under_Gusts_71ad9e023d1f_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Ship_Deck_Delivery_Under_Gusts,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"With 30% battery, 8 m/s winds, and a crossing UAV at 12 m/s, what action prioritizes safety within 25 m separation and 10-minute limit?","This is a delivery mission using an amphibious fixed-wing VTOL UAV equipped with GNSS, IMU, lidar, and RGB camera. The flight occurs near a ship’s bridge site within a constrained airspace bounded by a polygon geofence from 5 to 60 meters AGL. Strong winds of 8 m/s from 240° include 4.5 m/s gusts, requiring stable control during deck approach and landing. The UAV carries a 2 kg payload and must follow a predefined corridor-style waypoint path while avoiding a cylindrical no-fly zone centered at (40, 50) with a 10-meter radius. A moving spherical obstacle drifts diagonally through the airspace, adding dynamic collision risk. Another UAV is present in the area, traveling at 12 m/s on a crossing trajectory, necessitating DAA compliance with a 25-meter separation threshold. The mission requires use of a runway aligned at 250° for transition between hover and forward flight. Battery reserve is set to 30%, and the total time budget is 10 minutes. The primary landing site is near the deck’s edge, with an alternate emergency site available. Successful completion depends on precise navigation despite wind gusts, GNSS multipath risks near structures, and tight separation margins.",Continue approach; wind is within operational limits,Descend below 5 m AGL to avoid gusts and save power,Abort mission and divert to emergency landing site immediately,Accelerate to beat the other UAV through the corridor,Climb above 60 m AGL for clearer GNSS signal and stability,Hover in place until the other UAV clears the airspace,Shift path laterally to maintain 25 m separation and proceed,"[""Continue approach; wind is within operational limits"", ""Descend below 5 m AGL to avoid gusts and save power"", ""Abort mission and divert to emergency landing site immediately"", ""Accelerate to beat the other UAV through the corridor"", ""Climb above 60 m AGL for clearer GNSS signal and stability"", ""Hover in place until the other UAV clears the airspace"", ""Shift path laterally to maintain 25 m separation and proceed""]","Maintaining lateral separation ensures DAA compliance and avoids mid-air collision, which is critical given the 12 m/s crossing UAV and tight 25 m threshold. Continuing with adjusted trajectory respects geofence, battery reserve, and mission objectives without escalating risk. Other options violate altitude limits, increase collision potential, or waste time and power unethically under constrained resources." 2025-11-01T17:52:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Ship_Deck_Delivery_in_Volcanic_Zone_with_Gusts_524c63057684_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Ship_Deck_Delivery_in_Volcanic_Zone_with_Gusts,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"After GNSS jamming at 250 s and motor failure at 400 s, which action maximizes delivery chance within battery limits under 15 m/s winds?","This scenario involves a delivery mission using an amphibious fixed-wing VTOL UAV in a volcanic zone with poor visibility and volcanic ash. The UAV operates within a defined polygonal airspace with a minimum altitude of 5 m AGL and a maximum of 120 m AGL. Strong winds up to 15 m/s increase with altitude and shift direction, accompanied by gusts up to 4.5 m/s and thermal updrafts near a volcanic plume. The UAV carries a 2 kg payload and relies on GNSS, IMU, lidar, and camera systems, but faces GNSS multipath, jamming, and electromagnetic interference. A static no-fly zone and a moving dynamic no-fly zone challenge navigation, requiring strict separation from obstacles and traffic. The UAV must follow a corridor route with transition phases between hover and forward flight, and a runway is required for operations. A second UAV and a moving spherical obstacle introduce collision risks, monitored via DAA thresholds. Communication experiences brief downlink losses, and the UAV must manage battery reserves under high aerodynamic drag and fault conditions. Two faults occur: a GNSS jamming event at 250 seconds and a partial motor failure at 400 seconds. The mission emphasizes robust navigation, fault tolerance, and precise delivery under severe environmental and operational constraints.",Ascend to 120 m AGL for faster transit despite higher drag,Abort mission immediately to conserve power for return,Reduce payload sensor use and follow low-altitude corridor,Switch to full camera stream for obstacle avoidance in ash,Hover at 50 m until GNSS signal recovers to ensure accuracy,Increase speed using all motors to shorten mission time,Circle near plume for thermal lift to save propulsion energy,"[""Ascend to 120 m AGL for faster transit despite higher drag"", ""Abort mission immediately to conserve power for return"", ""Reduce payload sensor use and follow low-altitude corridor"", ""Switch to full camera stream for obstacle avoidance in ash"", ""Hover at 50 m until GNSS signal recovers to ensure accuracy"", ""Increase speed using all motors to shorten mission time"", ""Circle near plume for thermal lift to save propulsion energy""]","Reducing payload sensor power extends battery life while flying low minimizes wind exposure and drag. This balances communication, navigation, and energy use, enabling safe corridor transit despite faults. Other options increase power draw, risk collision, or exploit unstable thermals unsuitable under fault conditions." 2025-11-01T17:52:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_Border_Patrol_at_Industrial_Plant_under_Microburst_Risk_e0c22dfb9cc0_mcq.json,uavbench-mcq-v1,Amphibious_Border_Patrol_at_Industrial_Plant_under_Microburst_Risk,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"At 45 m altitude, wind is 12 m/s; UAV faces 8.5 m/s crosswind from 240° with gusts to 4.5 m/s. What action maintains control and energy efficiency?","This scenario involves an amphibious UAV conducting an inspection mission at an industrial plant near a border. The airspace is constrained by static and moving no-fly zones, including a dynamic cylinder drifting at 2.5 m/s. Wind speeds increase with altitude, reaching 12 m/s at 50 m, with a microburst risk and significant wind shear between layers. The UAV is a hybrid electric model with VTOL and fixed-wing capabilities, carrying RGB and thermal cameras, LiDAR, and radar. It operates under strong crosswinds from 240° at 8.5 m/s, with gusts up to 4.5 m/s, and must manage energy carefully due to high drag and power demands. GNSS signals are degraded by multipath effects and moderate jamming at -75 dBm, while electromagnetic interference affects sensor reliability. The UAV must maintain separation of at least 25 meters from other traffic and avoid a moving obstacle near waypoint 2. A communication loss event occurs at 240 seconds, lasting 12 seconds, simulating a high-severity link interruption. The mission requires use of a runway for landing, with a strict 600-second time budget and predefined transition times between flight modes.",Increase angle of attack to 18° for more lift,Descend to 30 m to reduce wind shear exposure,Bank 35° into crosswind to maintain ground track,Reduce airspeed to 14 m/s to lower drag,Pitch down 5° to decrease induced drag,Hold 22 m/s airspeed with 10° bank toward wind,Extend flaps fully to improve low-speed stability,"[""Increase angle of attack to 18° for more lift"", ""Descend to 30 m to reduce wind shear exposure"", ""Bank 35° into crosswind to maintain ground track"", ""Reduce airspeed to 14 m/s to lower drag"", ""Pitch down 5° to decrease induced drag"", ""Hold 22 m/s airspeed with 10° bank toward wind"", ""Extend flaps fully to improve low-speed stability""]","At 22 m/s, the UAV operates above stall speed while balancing lift and drag under high crosswind loading. A 10° bank into the wind corrects drift without exceeding roll stability margins. This sustains energy margin against gusts and optimizes aerodynamic efficiency in sheared flow." 2025-11-01T17:52:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Lost_Link_RTL_in_Warehouse_e8ceab5bcdf2_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Lost_Link_RTL_in_Warehouse,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 200 s, GNSS multipath degrades position accuracy in the warehouse with 2 m/s wind and a moving obstacle at 0.5 m/s.","This is an indoor warehouse inspection mission using an amphibious UAV equipped with GNSS, IMU, camera, and LiDAR. The UAV operates within a confined 50x30 meter polygon airspace with a maximum altitude of 12 meters AGL and a minimum safe height of 0.5 meters. A cylindrical no-fly zone is centered in the warehouse, restricting access within a 3-meter radius around critical infrastructure. The UAV follows a corridor-style waypoint path to inspect multiple points, with a time budget of 10 minutes and a requirement to use the runway for operations. During the mission, a lost link fault occurs at 200 seconds, triggering a return-to-launch (RTL) sequence with 60 seconds of communication outage. Wind is light at 2 m/s from the southeast, with gusts up to 1.5 m/s, and there is a risk of lightning despite good visibility. The UAV must avoid a moving spherical obstacle traveling horizontally at 0.5 m/s and maintain separation of at least 5 meters from other traffic. GNSS signals may suffer from multipath due to indoor reflective surfaces, challenging navigation accuracy. The presence of another UAV in the airspace increases collision risk, requiring adherence to DAA thresholds for time-to-collision and minimum separation.",Switch to IMU-only navigation with dead reckoning,Rely solely on camera SLAM for position correction,"Increase reliance on LiDAR-IMU fusion, reduce GNSS weight",Maintain current GNSS-IMU EKF weighting despite drift,Descend to 0.6 m AGL to minimize wind effects,Hover using visual odometry until GNSS recovers,Execute RTL immediately using GNSS despite multipath,"[""Switch to IMU-only navigation with dead reckoning"", ""Rely solely on camera SLAM for position correction"", ""Increase reliance on LiDAR-IMU fusion, reduce GNSS weight"", ""Maintain current GNSS-IMU EKF weighting despite drift"", ""Descend to 0.6 m AGL to minimize wind effects"", ""Hover using visual odometry until GNSS recovers"", ""Execute RTL immediately using GNSS despite multipath""]","LiDAR-IMU fusion provides stable pose estimation in GNSS-denied indoor environments, mitigating multipath errors. It maintains spatial awareness under motion and reflective interference. This approach preserves trajectory accuracy while compensating for wind-induced drift and dynamic obstacles." 2025-11-01T17:52:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Corridor_Inspection_under_Lightning_Risk_d7b808a6203a_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Corridor_Inspection_under_Lightning_Risk,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 120s, lightning strike occurs with GNSS jamming at -75 dBm and 7.5 m/s winds from 240°—how should navigation adapt?","This mission involves an amphibious UAV conducting a powerline corridor inspection in a restricted airspace with a defined polygon geofence. The UAV operates within an altitude range of 10 to 120 meters AGL, navigating around a static no-fly zone and a moving obstacle that drifts laterally. Weather conditions include moderate winds at 7.5 m/s from 240°, increasing with altitude, and a risk of lightning, which introduces potential system faults and communication loss. The UAV is a hybrid VTOL with fixed-wing capabilities, powered by a 1200 Wh battery and equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. GNSS signals are degraded due to multipath effects and electromagnetic interference, with a jamming level at -75 dBm, complicating positioning accuracy. The flight plan includes five inspection waypoints along the corridor, requiring a runway-style takeoff and landing, with transition times between hover and forward flight. A dynamic no-fly zone moves through the area, and another UAV is present on a conflicting path, requiring DAA compliance with a 25-meter separation threshold. Thermal updrafts near waypoint three offer potential lift benefits but must be navigated carefully under gusty conditions. The mission must complete within 600 seconds, with battery reserves maintained at 30%, and fault events such as lightning strikes simulated at 120 seconds into the flight. Communication dropouts are expected between 120 and 130 seconds, demanding robust autonomy and contingency handling.",Switch to pure GNSS mode for stable position lock,Rely solely on IMU to avoid signal interference,Use LiDAR-visual fusion with IMU for drift correction,Descend to 10 m AGL to restore GNSS signal strength,Halt propulsion and hover using thermal updrafts,Follow waypoint path using last known GNSS fix,Transition to forward flight to outrun moving obstacle,"[""Switch to pure GNSS mode for stable position lock"", ""Rely solely on IMU to avoid signal interference"", ""Use LiDAR-visual fusion with IMU for drift correction"", ""Descend to 10 m AGL to restore GNSS signal strength"", ""Halt propulsion and hover using thermal updrafts"", ""Follow waypoint path using last known GNSS fix"", ""Transition to forward flight to outrun moving obstacle""]","GNSS is degraded by -75 dBm jamming and multipath, making it unreliable. LiDAR-visual fusion with IMU provides resilient relative positioning, correcting IMU drift without GNSS. This maintains navigation integrity during communication dropout and wind disturbances." 2025-11-01T17:52:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Tower_Spiral_Inspection_in_Snowfall_17868187024c_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Tower_Spiral_Inspection_in_Snowfall,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best balances 30% battery reserve, 25m separation, and icing risk during a tower spiral in 7–10 m/s winds?","This mission involves an amphibious UAV conducting a tower inspection in an industrial plant using a spiral flight pattern. The UAV operates within a confined airspace bounded by a polygonal geofence, with a cylindrical no-fly zone around the tower base from 5 to 40 meters altitude. Weather conditions include moderate snowfall, poor visibility, icing risk, and wind increasing with altitude from 7 m/s at ground level to 10 m/s at 50 meters. The UAV is a hybrid amphibious type equipped with RGB and thermal cameras, LiDAR, and full navigation sensors, but faces GNSS multipath, electromagnetic interference, and brief communication dropouts. It must maintain separation from a moving obstacle near the tower and avoid conflicts with another UAV approaching from the south. The mission requires a runway for transition, though the primary flight is vertical and hover-based near the structure. Battery capacity is limited, with a 30% reserve required, and performance may degrade due to icing and increased drag. Flight controls use discrete actions, and the detect-and-avoid system enforces a 25-meter separation threshold. The scenario tests robustness in challenging weather, sensor degradation, and proximity to obstacles during a critical industrial inspection.",Fixed-wing with minimal hover capability and lightweight sensors,Quadcopter with extended battery but no de-icing system,Hybrid amphibious VTOL with de-icing and LiDAR obstacle avoidance,Glider-based UAV relying on wind for energy efficiency,Tethered drone with ground-powered comms and no battery limit,Dual-rotor UAV with high-speed transit but poor hover stability,Solar-assisted UAV with low thermal camera resolution,"[""Fixed-wing with minimal hover capability and lightweight sensors"", ""Quadcopter with extended battery but no de-icing system"", ""Hybrid amphibious VTOL with de-icing and LiDAR obstacle avoidance"", ""Glider-based UAV relying on wind for energy efficiency"", ""Tethered drone with ground-powered comms and no battery limit"", ""Dual-rotor UAV with high-speed transit but poor hover stability"", ""Solar-assisted UAV with low thermal camera resolution""]","The hybrid amphibious VTOL supports vertical inspection, de-icing, and LiDAR for obstacle avoidance in poor visibility. It meets 25m separation and battery reserve needs while handling wind and GNSS degradation. Other options fail in endurance, sensing, or environmental resilience." 2025-11-01T17:52:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_GPS_Spoof_Snowy_Suburban_24fa3cf34bbf_mcq.json,uavbench-mcq-v1,Amphibious_UAV_GPS_Spoof_Snowy_Suburban,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"At 15 m/s airspeed and 40 m AGL, how should the UAV respond to a 60-second GNSS spoofing event with 8 m/s southwest gusts?","This is a survey mission conducted by an amphibious fixed-wing UAV in a suburban environment covered in snow. The UAV operates within an altitude range of 10 to 120 meters AGL, navigating a predefined grid pattern across four waypoints. Weather conditions include moderate winds from the southwest, gusts, and poor visibility due to ongoing snowfall. The UAV is equipped with a full sensor suite including GNSS, IMU, lidar, radar, and RGB camera, but experiences intermittent GNSS spoofing and electromagnetic interference. A static no-fly zone and a moving dynamic no-fly zone create additional navigation constraints. The mission faces challenges from a nearby UAV traffic contact and a slowly drifting spherical obstacle. GNSS spoofing occurs mid-mission for 60 seconds, degrading positioning accuracy. Downlink communications are unreliable with two scheduled loss windows, limiting data transmission. Battery capacity and energy consumption are critical constraints, with a 30% reserve required for safe return and landing.",Increase pitch by 3° to maintain altitude,Reduce airspeed to 12 m/s to minimize drag,Bank 15° into wind to counteract drift,Descend to 10 m AGL to reduce wind exposure,Climb to 120 m AGL for stable GNSS recovery,Maintain heading and airspeed using IMU-lidar fusion,Turn 90° away from dynamic no-fly zone,"[""Increase pitch by 3° to maintain altitude"", ""Reduce airspeed to 12 m/s to minimize drag"", ""Bank 15° into wind to counteract drift"", ""Descend to 10 m AGL to reduce wind exposure"", ""Climb to 120 m AGL for stable GNSS recovery"", ""Maintain heading and airspeed using IMU-lidar fusion"", ""Turn 90° away from dynamic no-fly zone""]","Maintaining heading and airspeed using IMU-lidar fusion preserves aerodynamic stability and avoids induced drag from maneuvers. At low altitude and moderate airspeed, lift is balanced with minimal angle of attack; deviating would risk stall or drift. Sensor fusion compensates for GNSS loss without altering flight dynamics." 2025-11-01T17:52:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Touch-and-Go_in_Offshore_Rain_74b3d250c634_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Touch-and-Go_in_Offshore_Rain,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 80m AGL with 25m separation from traffic and 30% battery, how should the UAV adjust for icing and GNSS degradation?","This scenario involves a runway touch-and-go mission using an amphibious fixed-wing UAV equipped with radar, RGB camera, and standard navigation sensors. The operation takes place offshore near an oil platform within a defined polygonal airspace bounded between 5 and 120 meters AGL. Weather conditions include moderate rain, poor visibility, and icing risk, with increasing wind speed and shifting direction at higher altitudes. A significant no-fly zone cylinder restricts access around the central airspace area, and GNSS multipath effects are present along with electromagnetic interference and mild signal jamming. The UAV must perform a touch-and-go along a predefined corridor pattern, approaching and departing from a designated runway with strict transition timing between VTOL and forward-flight modes. A single traffic UAV crosses the airspace on a fixed path, requiring separation maintenance below a 25-meter threshold. A moving spherical obstacle drifts through the environment, adding dynamic collision risk. An icing event occurs mid-mission, degrading performance for one minute, while a brief communications downlink loss window further challenges control. The UAV must complete the mission within 600 seconds while managing battery reserves, sensor limitations, and environmental hazards.","Descend to 40m to avoid icing, increase speed to save time","Climb to 110m for clearer GNSS signal, maintain current heading","Reduce speed, descend to 60m, and follow curved detour around obstacle","Hold altitude and speed, switch to inertial-only navigation mode","Ascend to 120m, reduce thrust to conserve battery during jamming",Execute immediate VTOL transition to hover below no-fly zone,"Follow corridor at 70m, trim pitch slightly up to counter ice drag","[""Descend to 40m to avoid icing, increase speed to save time"", ""Climb to 110m for clearer GNSS signal, maintain current heading"", ""Reduce speed, descend to 60m, and follow curved detour around obstacle"", ""Hold altitude and speed, switch to inertial-only navigation mode"", ""Ascend to 120m, reduce thrust to conserve battery during jamming"", ""Execute immediate VTOL transition to hover below no-fly zone"", ""Follow corridor at 70m, trim pitch slightly up to counter ice drag""]","G maintains safe altitude within bounds, counters aerodynamic degradation from icing without excessive energy use, and follows the predefined corridor to ensure navigation accuracy under sensor constraints. It balances flight stability, energy reserves, and mission timing while avoiding prohibited zones and dynamic obstacles. Other options violate altitude limits, increase collision risk, waste power, or lose situational awareness." 2025-11-01T17:52:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Corridor_Follow_with_Amphibious_UAV_165b983792b1_mcq.json,uavbench-mcq-v1,Arctic_Corridor_Follow_with_Amphibious_UAV,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,A,False,"At 200s, UAV1 enters icing (60% efficiency loss) while UAV2 approaches the corridor; what action maintains survey progress and 25m separation?","The mission is a corridor survey conducted in Arctic airspace using an amphibious fixed-wing UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The UAV operates within a defined polygonal geofence at altitudes between 20 and 120 meters AGL, avoiding a cylindrical no-fly zone near the center of the area. Weather includes strong 8 m/s winds from 240° with gusts up to 4 m/s and hazardous icing conditions that temporarily degrade performance. The UAV must follow a four-waypoint corridor pattern while managing battery reserves under high wind and aerodynamic drag. A second UAV and a moving spherical obstacle create dynamic traffic requiring separation monitoring with a 25-meter threshold. GNSS multipath effects are not present, but brief communication dropouts occur at 150 and 400 seconds into the flight. The UAV must avoid both geofence and altitude violations while completing the survey within a 600-second time limit. Icing faults reduce aerodynamic efficiency by 60% between seconds 200 and 260, increasing power demand and reducing lift. The mission ends with a return to the preferred landing site near the runway threshold, with an emergency option available. Success is measured by mission completion, safety breaches, battery level, and sensor data integrity.",UAV1 continues survey; UAV2 holds pattern at 120m AGL,UAV1 ascends to 120m; UAV2 proceeds at 20m AGL,UAV1 exits corridor; UAV2 assumes full survey task,Both UAVs reduce speed by 30% to conserve battery,UAV1 delays icing response; UAV2 increases speed by 15%,UAV2 reverses track; UAV1 completes remaining leg,UAV2 pauses survey; UAV1 maintains altitude and course,"[""UAV1 continues survey; UAV2 holds pattern at 120m AGL"", ""UAV1 ascends to 120m; UAV2 proceeds at 20m AGL"", ""UAV1 exits corridor; UAV2 assumes full survey task"", ""Both UAVs reduce speed by 30% to conserve battery"", ""UAV1 delays icing response; UAV2 increases speed by 15%"", ""UAV2 reverses track; UAV1 completes remaining leg"", ""UAV2 pauses survey; UAV1 maintains altitude and course""]","UAV1 must continue its assigned leg despite reduced efficiency to maintain temporal coverage and avoid mission timeout. UAV2 holding at 120m AGL ensures vertical separation from UAV1’s low-altitude corridor, preserving the 25m safety buffer. This choice balances workload, respects dynamic constraints, and prevents communication-coordination breakdown during dropouts at 150s and 400s." 2025-11-01T17:52:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Facade_Inspection_with_Swarm_Drones_c101e801fe66_mcq.json,uavbench-mcq-v1,Arctic_Facade_Inspection_with_Swarm_Drones,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 210s, drone 3 reports severe icing at 110m AGL in strong westerly winds. What immediate action maintains swarm safety and mission integrity?","This is a swarm drone inspection mission in the Arctic, focusing on a facade or structure within a defined polygonal airspace. The environment features strong westerly winds increasing with altitude, gusts, poor visibility, and hazards including icing conditions and microburst risk. Five octocopter drones with RGB and thermal cameras, LiDAR, and full sensor suites operate as a coordinated swarm, maintaining minimum 8-meter inter-drone separation. The drones are equipped for battery-powered flight with moderate payload and aerodynamic drag, flying between 5 and 120 meters AGL. The airspace includes a static no-fly zone near the center and a moving cylindrical exclusion zone drifting at 2.2 m/s, requiring dynamic avoidance. Additional challenges include GNSS multipath, moderate jamming, electromagnetic interference, and brief communication dropouts. Two fault events simulate icing at 210 seconds and GNSS jamming at 400 seconds, testing resilience. Thermal updrafts near the structure offer potential lift, but wind shear and sensor degradation increase risk. Mission success requires completing the corridor inspection pattern within 600 seconds while avoiding obstacles, NFZs, and maintaining safe separation.",Descend drone 3 rapidly to 5m AGL to escape icing layer,Abort drone 3 and land immediately; others continue,Re-route nearby drones into exclusion zone to assist,Increase speed to complete inspection before ice worsens,Transfer drone 3’s tasks to drone 1; maintain formation,Command swarm to land; terminate mission for safety,"Shift swarm upwind, using thermal updrafts to reduce load","[""Descend drone 3 rapidly to 5m AGL to escape icing layer"", ""Abort drone 3 and land immediately; others continue"", ""Re-route nearby drones into exclusion zone to assist"", ""Increase speed to complete inspection before ice worsens"", ""Transfer drone 3’s tasks to drone 1; maintain formation"", ""Command swarm to land; terminate mission for safety"", ""Shift swarm upwind, using thermal updrafts to reduce load""]","Icing at 110m AGL poses an immediate flight risk; aborting drone 3 ensures controlled landing before structural failure. Continuing operation or re-routing into exclusion zones violates safety and airspace laws. Other drones proceed only if separation and no-fly constraints are preserved, balancing mission continuity and risk mitigation." 2025-11-01T17:52:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Inspection_in_Mountainous_Wind_Turbine_Area_c40f4e1afaa4_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Inspection_in_Mountainous_Wind_Turbine_Area,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"At 110 m AGL, wind is 11 m/s with gusts; UAV must descend through 80 m to inspect. What minimizes energy use and maintains control?","This is an inspection mission using an amphibious fixed-wing UAV in mountainous terrain with strong winds. The UAV operates between 10 and 120 meters AGL within a defined polygonal airspace. Wind speeds increase with altitude, reaching 11 m/s at 100 meters, with moderate gusts and good visibility. The UAV carries a dual-camera payload (RGB and thermal) for visual inspection of wind turbines. A static no-fly zone blocks access near one turbine, while a dynamic no-fly zone moves through the area. Another UAV and a moving spherical obstacle require active separation, with a 25-meter minimum distance threshold. GNSS multipath effects are a concern due to terrain, and brief communication dropouts occur at two time intervals. The mission must be completed within 600 seconds, starting from a mid-air spawn and ending at a preferred landing site. Battery endurance and wind-induced energy consumption are critical constraints for successful mission completion.",Increase angle of attack to 15° and reduce airspeed to 12 m/s,Descend at 18 m/s with 8° angle of attack into headwind,Spiral down at 10 m/s with 20° bank and max throttle,Glide at best L/D ratio with 6° angle of attack and 16 m/s,Fly level at 14 m/s to wait for gust dissipation,Descend vertically at 5 m/s with zero forward thrust,Turn tailwind and dive at 25 m/s with 4° angle of attack,"[""Increase angle of attack to 15° and reduce airspeed to 12 m/s"", ""Descend at 18 m/s with 8° angle of attack into headwind"", ""Spiral down at 10 m/s with 20° bank and max throttle"", ""Glide at best L/D ratio with 6° angle of attack and 16 m/s"", ""Fly level at 14 m/s to wait for gust dissipation"", ""Descend vertically at 5 m/s with zero forward thrust"", ""Turn tailwind and dive at 25 m/s with 4° angle of attack""]","Gliding at best L/D ratio maximizes aerodynamic efficiency, reducing drag and conserving battery. At 16 m/s and 6° AoA, the UAV stays above stall while countering headwind-induced groundspeed loss. This balances energy use, control, and mission time under wind shear." 2025-11-01T17:52:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Amphibious_UAV_GPS_Spoofing_Scenario_1622b3db5749_mcq.json,uavbench-mcq-v1,Arctic_Amphibious_UAV_GPS_Spoofing_Scenario,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 195s, GPS spoofing and comms loss occur; wind is 8 m/s, obstacle drifts at 30m altitude. What is the safest immediate action?","Amphibious UAV conducts a grid survey mission in Arctic airspace. Operating within a 500m x 500m geofenced area, the UAV must avoid a central cylindrical no-fly zone. The environment features poor visibility due to dust and strong 8 m/s westerly winds with gusts up to 4 m/s. GNSS signals are degraded by jamming at -85 dBm and electromagnetic interference. A GPS spoofing fault is injected at 200 seconds, lasting 30 seconds, challenging navigation integrity. The UAV is equipped with GNSS, IMU, lidar, RGB and thermal cameras for navigation and sensing. It transitions between VTOL and fixed-wing flight with defined transition times. Uplink communication is lost between 180–210 seconds, requiring autonomous operation. A moving spherical obstacle drifts through the airspace, and another UAV flies crosswind. Mission success depends on completing the survey within 600 seconds while maintaining separation and avoiding faults.",Continue grid pattern using GNSS despite spoofing,Climb to 100m to improve GNSS signal quality,Descend to 20m to use lidar for terrain tracking,Abort mission and return to base immediately,Hover in place using IMU until GPS recovers,Evasive maneuver east at full speed,Transition to fixed-wing and fly crosswind,"[""Continue grid pattern using GNSS despite spoofing"", ""Climb to 100m to improve GNSS signal quality"", ""Descend to 20m to use lidar for terrain tracking"", ""Abort mission and return to base immediately"", ""Hover in place using IMU until GPS recovers"", ""Evasive maneuver east at full speed"", ""Transition to fixed-wing and fly crosswind""]","With GNSS compromised and comms lost, relying on spoofed data risks collision or drift into restricted zones. Lidar and IMU enable resilient navigation at low altitude, maintaining survey progress while avoiding obstacles. Descending to 20m leverages sensor redundancy, preserves mission viability, and prioritizes safety over speed without abandoning objectives." 2025-11-01T17:52:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Ship_Deck_Delivery_in_Snowfall_74ecba09ca5c_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Ship_Deck_Delivery_in_Snowfall,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 45 m AGL, 6.5 m/s wind from 240°, and 1.2 kg payload, what minimizes drift and maintains lift during an icing event?","This is a delivery mission using an amphibious VTOL UAV in a harbor airspace. The UAV operates in snowy conditions with poor visibility and icing risks. Weather includes moderate wind at 6.5 m/s from 240°, increasing with altitude, and gusts up to 3.2 m/s. The UAV is equipped with GNSS, IMU, radar, lidar, and RGB camera for navigation and payload delivery. Payload is 1.2 kg with moderate drag, typical for small cargo in maritime logistics. Flight is constrained between 5 m and 60 m AGL within a polygonal geofence. A static no-fly zone blocks the central approach, and a moving obstacle drifts through the area. Dynamic no-fly zones and traffic from another UAV require real-time separation management. GNSS multipath and electromagnetic interference challenge positioning accuracy near structures. An icing event occurs mid-mission, reducing performance, and communication briefly drops twice.",Increase pitch to 12° to boost lift coefficient,Reduce airspeed to 8 m/s to lower drag,Bank 25° into wind to counter lateral drift,Descend to 10 m AGL to avoid wind shear,Apply full throttle to overcome added weight,Pitch down 3° to reduce angle of attack,Hold level flight at 15 m/s for stability,"[""Increase pitch to 12° to boost lift coefficient"", ""Reduce airspeed to 8 m/s to lower drag"", ""Bank 25° into wind to counter lateral drift"", ""Descend to 10 m AGL to avoid wind shear"", ""Apply full throttle to overcome added weight"", ""Pitch down 3° to reduce angle of attack"", ""Hold level flight at 15 m/s for stability""]","Icing increases wing roughness, reducing maximum lift and raising stall risk. Increasing pitch to 12° raises the lift coefficient to counteract reduced aerodynamic efficiency. This balances angle of attack and airspeed to maintain lift without exceeding critical AoA under increased wing loading." 2025-11-01T17:52:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Tower_Spiral_Inspection_in_Rural_Area_with_Thermal_Updrafts_7a1955326d91_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Tower_Spiral_Inspection_in_Rural_Area_with_Thermal_Updrafts,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Spiral inspection in 30% reserve, 600s limit, and dynamic NFZ near tower; moderate winds increase with altitude.","The mission is an inspection of a tower using a spiral flight pattern in a rural area. The UAV operates within a defined geofence, avoiding static and moving no-fly zones, including a dynamic cylindrical NFZ near the inspection site. An amphibious fixed-wing UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors conducts the mission. Weather includes moderate winds increasing with altitude, gusts, and thermal updrafts that affect stability. The UAV must manage energy carefully due to battery constraints and a 30% reserve requirement. Notable environmental challenges include electromagnetic interference and temporary communication link losses. GNSS performance is generally reliable with no multipath issues but mild jamming present. Air traffic includes another UAV, requiring separation monitoring with a 25-meter threshold. The UAV must complete the inspection within 600 seconds while maintaining safe altitude and avoiding collisions.","Climb fast, full sensor suite, constant speed","Descend early, idle sensors, glide to base","Reduce LiDAR rate, slow climb, thermal updrafts","Hover at peak, retransmit all data at once","Fly direct out, full RGB, delay thermal scan","Increase speed, bypass lower zones, full power","Circle twice, full payload, buffer all comms","[""Climb fast, full sensor suite, constant speed"", ""Descend early, idle sensors, glide to base"", ""Reduce LiDAR rate, slow climb, thermal updrafts"", ""Hover at peak, retransmit all data at once"", ""Fly direct out, full RGB, delay thermal scan"", ""Increase speed, bypass lower zones, full power"", ""Circle twice, full payload, buffer all comms""]","Reducing LiDAR sampling cuts power use while leveraging thermal updrafts lowers climb energy. Slow ascent balances time and battery, ensuring reserve and mission completion within 600s without overloading comms or computation." 2025-11-01T17:52:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Firefighting_Drop_with_Icing_Conditions_bc9eaaf2d7c4_mcq.json,uavbench-mcq-v1,Arctic_Firefighting_Drop_with_Icing_Conditions,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which system ensures reliable arctic firefighting with 1.2 kg payload, 8.5 m/s winds, and 30% battery reserve?","This is a firefighting drop mission in arctic airspace with poor visibility due to snowfall and hazardous icing conditions. The UAV is a quadrotor equipped with RGB and thermal cameras, lidar, and GNSS/IMU navigation sensors, carrying a 1.2 kg payload for fire suppression. It operates within a 500x500 meter geofenced zone, with altitude limits between 10 and 120 meters AGL. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves slowly across the environment. The UAV must avoid a descending spherical obstacle and maintain separation of at least 25 meters from other traffic. Wind is strong at 8.5 m/s from the west, with gusts up to 4.2 m/s, increasing flight difficulty. An icing event occurs at 240 seconds, reducing performance for one minute. Communication experiences two brief downlink/uplink loss windows, and the UAV must complete its waypoint corridor within 600 seconds. Battery reserve is set to 30%, and GNSS multipath risks are elevated due to terrain and weather.",Lightweight carbon frame with minimal sensors and no thermal camera,"Dual GNSS with RTK, no lidar, standard RGB, and no de-icing","Single IMU, basic RGB, no redundancy, lowest power consumption","Triple-redundant IMU, thermal+RGB, de-icing, lidar, and GNSS/IMU fusion","Fixed-pitch propellers, no sensor fusion, low-cost MEMS IMU","High-capacity battery, no thermal imaging, basic obstacle avoidance","Open-loop control, no GNSS, vision-only navigation in snow","[""Lightweight carbon frame with minimal sensors and no thermal camera"", ""Dual GNSS with RTK, no lidar, standard RGB, and no de-icing"", ""Single IMU, basic RGB, no redundancy, lowest power consumption"", ""Triple-redundant IMU, thermal+RGB, de-icing, lidar, and GNSS/IMU fusion"", ""Fixed-pitch propellers, no sensor fusion, low-cost MEMS IMU"", ""High-capacity battery, no thermal imaging, basic obstacle avoidance"", ""Open-loop control, no GNSS, vision-only navigation in snow""]","Option D provides sensor fusion, de-icing, and redundancy critical for navigation and safety in snow, icing, and GNSS multipath. It supports payload delivery and wind resistance within battery constraints. Others lack fault tolerance, environmental adaptability, or key sensing for this mission." 2025-11-01T17:52:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Heavy-Lift_Survey_Mission_under_Icing_Conditions_0d1be512f979_mcq.json,uavbench-mcq-v1,Arctic_Heavy-Lift_Survey_Mission_under_Icing_Conditions,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Plan route at 120m AGL avoiding NFZs, dynamic obstacle, and intruder with 25m separation in 15 m/s winds shifting to 330°.","This is a heavy-lift UAV survey mission in Arctic airspace with persistent icing conditions and moderate snowfall. The UAV operates within a defined polygonal geofence, maintaining altitudes between 30 and 180 meters AGL. Strong winds increase with altitude, reaching up to 15 m/s, and wind direction shifts from 310° at ground level to 330° at 200 meters. The UAV is equipped with a full sensor suite including GNSS, IMU, LIDAR, RGB and thermal cameras, supporting its survey payload of 5 kg. GNSS performance is degraded due to multipath effects and moderate jamming at -85 dBm, compounded by electromagnetic interference. The mission must avoid two no-fly zones: one static cylinder near the center and one dynamic cylinder drifting southwest. Air traffic includes a single intruder UAV approaching from the northeast, requiring separation maintenance of at least 25 meters. A moving spherical obstacle also traverses the area, demanding real-time collision avoidance. An icing event occurs mid-mission, reducing performance for 90 seconds, while brief communication dropouts challenge telemetry reliability.","Climb to 180m for better GNSS, direct path to next waypoint","Descend to 30m AGL, fly due west below drifting NFZ","Maintain 120m, offset east around dynamic cylinder and intruder","Turn right 180°, delay survey until obstacle passes","Head north at 100m to avoid icing, rejoin path later",Cut through static NFZ center to save 40s mission time,Hold position at 120m until communication stabilizes,"[""Climb to 180m for better GNSS, direct path to next waypoint"", ""Descend to 30m AGL, fly due west below drifting NFZ"", ""Maintain 120m, offset east around dynamic cylinder and intruder"", ""Turn right 180°, delay survey until obstacle passes"", ""Head north at 100m to avoid icing, rejoin path later"", ""Cut through static NFZ center to save 40s mission time"", ""Hold position at 120m until communication stabilizes""]","Maintaining 120m AGL balances wind exposure, sensor performance, and geofence limits. The eastward offset avoids the southwest-drifting NFZ and intruder while preserving mission timing. Other options violate NFZs, increase risk, or waste energy." 2025-11-01T17:52:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Heavy-Lift_Crosswind_Training_9879facee115_mcq.json,uavbench-mcq-v1,Arctic_Heavy-Lift_Crosswind_Training,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Given 12 m/s crosswinds at 280°, 10–150 m AGL corridor, and a moving obstacle, which path avoids NFZ while minimizing drift-induced GNSS errors?","This is a heavy-lift UAV delivery mission in Arctic airspace with poor visibility due to snowfall and icing conditions. The UAV operates within a defined corridor between 10 and 150 meters AGL, navigating around static and moving no-fly zones. It experiences strong crosswinds of 12 m/s from 280° at ground level, increasing to 16 m/s at 100 m with shifting direction. GNSS signals suffer from multipath and moderate jamming at -85 dBm, compounded by electromagnetic interference. The octocopter carries a 10 kg payload with RGB and thermal cameras, LiDAR, and standard navigation sensors. A dynamic no-fly zone and a moving spherical obstacle challenge path planning, requiring separation maintenance of at least 25 meters from other traffic. An icing fault event occurs mid-mission, reducing performance for one minute. Communication experiences brief uplink/downlink outages, with minimum RSSI at -92 dBm. The mission must be completed within 600 seconds while avoiding geofence breaches, maintaining battery reserves, and ensuring safe flight despite environmental and system challenges.","Climb to 150 m, direct route through corridor center","Descend to 10 m, follow ground contour with reduced speed",Fly lateral arc 30 m around moving obstacle at 80 m AGL,Cut through NFZ edge to maintain schedule under crosswind,Ascend to 160 m AGL for clearer GNSS and lower interference,Hover 45 s to wait out icing event before re-routing,"Route 25 m behind obstacle, descend to 5 m AGL for stability","[""Climb to 150 m, direct route through corridor center"", ""Descend to 10 m, follow ground contour with reduced speed"", ""Fly lateral arc 30 m around moving obstacle at 80 m AGL"", ""Cut through NFZ edge to maintain schedule under crosswind"", ""Ascend to 160 m AGL for clearer GNSS and lower interference"", ""Hover 45 s to wait out icing event before re-routing"", ""Route 25 m behind obstacle, descend to 5 m AGL for stability""]","Maintains 25 m separation from moving obstacle and stays within 10–150 m AGL envelope. At 80 m, wind effects are predictable and GNSS performance is optimized within jamming constraints. Other options breach AGL limits, NFZ, or increase exposure to icing and signal loss." 2025-11-01T17:52:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Forest_Search_with_Thermal_Updrafts_93c6327fe0f2_mcq.json,uavbench-mcq-v1,Arctic_Forest_Search_with_Thermal_Updrafts,minimax/minimax-m1,9,Comparative System Reasoning,7,?,E,False,Which UAV configuration optimizes search efficiency in 2000m x 2000m arctic forest with 12 m/s winds and 30% battery reserve?,"This is a search and rescue mission in an arctic forest environment using a quadrotor UAV equipped with thermal and RGB cameras, LiDAR, and standard navigation sensors. The UAV operates within a defined 2000m x 2000m polygonal airspace, with altitude limits between 10m and 120m AGL. Strong westerly winds increase with altitude, reaching up to 12 m/s at 100m, and include gusts and thermal updrafts near specific locations that can assist lift. A static no-fly zone blocks access near coordinates (500, 500), and a dynamic no-fly zone moves diagonally across the area, requiring real-time avoidance. The UAV must navigate around a moving spherical obstacle and maintain separation from another UAV flying through the airspace. Electromagnetic interference is present, though GNSS multipath effects are not a concern, and brief communication losses occur at two time intervals. The mission follows a corridor search pattern with five waypoints, prioritizing visual and thermal coverage to locate targets under time and battery constraints. Battery endurance is critical, with a 30% reserve required and energy consumption affected by wind and maneuvering. The UAV must avoid geofence violations, maintain communication link quality, and return safely to the preferred landing site or an emergency alternative if needed.","Lightweight frame, minimal sensors, no redundancy","Dual thermal cameras, no LiDAR, high thrust-to-weight","Fixed-pitch propellers, single battery, basic GPS","Redundant IMUs, LiDAR-only navigation, no RGB","Full sensor suite, adaptive corridor routing, wind-estimation","High-gain antenna, no thermal cam, maximum payload","Solar-assisted, low thrust, autonomous return override","[""Lightweight frame, minimal sensors, no redundancy"", ""Dual thermal cameras, no LiDAR, high thrust-to-weight"", ""Fixed-pitch propellers, single battery, basic GPS"", ""Redundant IMUs, LiDAR-only navigation, no RGB"", ""Full sensor suite, adaptive corridor routing, wind-estimation"", ""High-gain antenna, no thermal cam, maximum payload"", ""Solar-assisted, low thrust, autonomous return override""]","E balances full sensor integration with adaptive routing and wind-aware navigation, maximizing coverage and energy efficiency. It maintains safety via real-time adjustments to winds, dynamic obstacles, and communication drops. Other options sacrifice critical capabilities like thermal detection, fault tolerance, or responsiveness under environmental stress." 2025-11-01T17:52:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Fog_Loiter_with_Fixed-Wing_UAV_8735c57d1b18_mcq.json,uavbench-mcq-v1,Arctic_Fog_Loiter_with_Fixed-Wing_UAV,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"During Arctic loiter at 450 m AGL, 15 m/s winds, and icing fault, what adjustment maintains lift without exceeding stall angle?","This is a fixed-wing UAV loiter mission in Arctic airspace under poor visibility and fog conditions with icing risk. The UAV operates within a defined polygonal airspace bounded between 50 and 450 meters AGL. Surface winds are 8 m/s from the west, increasing to 15 m/s at higher altitudes with directional shear. The UAV carries a payload equipped with RGB and thermal cameras, supported by radar and GNSS/IMU navigation. A static no-fly zone and a moving no-fly cylinder challenge navigation, requiring dynamic avoidance. GNSS multipath and electromagnetic interference degrade positioning accuracy, while temporary comms loss windows occur. The mission requires a runway for landing and includes a 600-second loiter in an orbital pattern around waypoints. An icing fault event occurs mid-mission, affecting aerodynamic performance. Traffic and a drifting spherical obstacle require separation monitoring, with DAA thresholds set at 50 meters and 30 seconds TTC. The UAV must manage battery reserves carefully under increased drag and de-rated lift due to environmental hazards.",Increase airspeed to 22 m/s and reduce angle of attack,Decrease airspeed to 15 m/s and increase angle of attack,Maintain current airspeed and deploy full flaps,Pitch up sharply to 18 degrees angle of attack,Reduce throttle to save battery during loiter,Circle at minimum power speed to extend endurance,Descend to 300 m AGL to find warmer air,"[""Increase airspeed to 22 m/s and reduce angle of attack"", ""Decrease airspeed to 15 m/s and increase angle of attack"", ""Maintain current airspeed and deploy full flaps"", ""Pitch up sharply to 18 degrees angle of attack"", ""Reduce throttle to save battery during loiter"", ""Circle at minimum power speed to extend endurance"", ""Descend to 300 m AGL to find warmer air""]","Icing degrades lift and increases stall risk, requiring higher airspeed to compensate. Increasing airspeed to 22 m/s raises dynamic pressure, restoring lift while reducing angle of attack avoids stall. This balances drag increase with boundary layer control under low Reynolds number Arctic conditions." 2025-11-01T17:52:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Heavy_Lift_Swarm_Coordination_c536b730d419_mcq.json,uavbench-mcq-v1,Arctic_Heavy_Lift_Swarm_Coordination,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 11 m/s crosswind and 180m AGL, how should the leader UAV adjust thrust and attitude to maintain position during icing?","This is a heavy-lift UAV swarm delivery mission in Arctic airspace with poor visibility and icing conditions. The UAVs operate between 30 and 180 meters AGL within a defined polygonal geofence. Strong winds up to 11 m/s increase with altitude and shift direction, while thermal updrafts offer limited lift assistance. Each UAV is an 8-rotor heavy-lift platform carrying an 8 kg payload, equipped with GNSS, IMU, lidar, RGB and thermal cameras. The swarm consists of four UAVs with leader-follower-relay roles, requiring minimum 25-meter separation. Notable constraints include static and moving no-fly zones, dynamic moving obstacles, and a second UAV on a crossing path. GNSS suffers from multipath and jamming (-85 dBm), and electromagnetic interference challenges navigation. Uplink communication is lost intermittently, with two downlink loss windows, requiring resilient autonomy. An icing event at 180 seconds degrades performance for one minute, compounding environmental risks.",Increase collective pitch to boost lift without extra drag,Reduce rotor RPM to minimize ice-induced blade loading,Apply lateral thrust differential to counteract wind drift,Pitch forward 10° to increase airspeed and prevent stall,Bank 20° into wind to enhance lift via centripetal force,"Descend immediately to denser, warmer air with higher lift",Hold level attitude and increase symmetric thrust by 15%,"[""Increase collective pitch to boost lift without extra drag"", ""Reduce rotor RPM to minimize ice-induced blade loading"", ""Apply lateral thrust differential to counteract wind drift"", ""Pitch forward 10° to increase airspeed and prevent stall"", ""Bank 20° into wind to enhance lift via centripetal force"", ""Descend immediately to denser, warmer air with higher lift"", ""Hold level attitude and increase symmetric thrust by 15%""]","During icing, reduced blade efficiency requires increased thrust to maintain lift without stalling. Increasing symmetric thrust compensates for degraded aerodynamic performance while preserving stability. Other options either induce instability, exceed structural limits, or worsen control in low-Reynolds, high-density-altitude conditions." 2025-11-01T17:52:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Heavy_Load_Delivery_by_HAPS_e975a3791227_mcq.json,uavbench-mcq-v1,Arctic_Heavy_Load_Delivery_by_HAPS,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"Given GNSS jamming, 16 m/s winds, and 60s icing fault, which action maintains control and delivery within 600s?","This scenario involves a heavy-load delivery mission using a high-altitude pseudo-satellite (HAPS) UAV in the Arctic. The flight operates within controlled airspace between 2,000 and 8,000 meters AGL, bounded by a polygonal geofence. Weather conditions include strong winds up to 16 m/s, poor visibility, rain, and icing conditions, with wind increasing and shifting direction at higher altitudes. The UAV is battery-powered, carries a 25 kg payload, and is equipped with radar, RGB and thermal cameras, and standard navigation sensors. Key constraints include permanent and dynamic no-fly zones, GNSS multipath and jamming, electromagnetic interference, and communication dropouts. The mission requires navigating a corridor of four waypoints within a strict 600-second time budget. A moving obstacle and another UAV traffic vehicle increase collision risk, with separation thresholds monitored by DAA systems. An icing fault event occurs mid-mission, degrading performance for 60 seconds. The UAV must avoid airspace violations, maintain communication, and successfully complete the delivery despite environmental and technical challenges.",Switch to encrypted INS with radar-aided SLAM,Increase throttle to compensate for icing loss,Transmit unencrypted telemetry to ground station,Rely solely on GNSS with no cross-verification,Disable DAA to reduce processing load,Accept waypoint time drift due to wind,Reboot flight controller during jamming event,"[""Switch to encrypted INS with radar-aided SLAM"", ""Increase throttle to compensate for icing loss"", ""Transmit unencrypted telemetry to ground station"", ""Rely solely on GNSS with no cross-verification"", ""Disable DAA to reduce processing load"", ""Accept waypoint time drift due to wind"", ""Reboot flight controller during jamming event""]","Encrypted INS with SLAM provides secure, authenticated state estimation during GNSS jamming, preserving control integrity. Radar-aided navigation ensures physical observability despite poor visibility and icing. This maintains mission continuity without exposing communication or control to cyber-physical threats." 2025-11-01T17:52:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Forest_Search_with_Thermal_Updrafts_039fee1c5e30_mcq.json,uavbench-mcq-v1,Arctic_Forest_Search_with_Thermal_Updrafts,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,UAV faces moving no-fly zone drift and 13 m/s winds at 400 m; battery at 30%. Continue search or return?,"This is a search and rescue mission in an arctic forest environment. The UAV operates within a defined polygonal airspace with a minimum altitude of 10 meters and a maximum of 400 meters AGL. Weather conditions include strong winds up to 13 m/s increasing with altitude, gusts, and the presence of thermal updrafts. The UAV is a single-rotor helicopter equipped with thermal and RGB cameras, LiDAR, and standard navigation sensors. It has a battery capacity of 1800 Wh and carries a 2.5 kg payload, limiting its endurance. Key constraints include a static no-fly zone near the center of the area and a moving no-fly zone drifting southwest. A dynamic obstacle moves through the airspace, requiring real-time avoidance. The mission involves flying a corridor search pattern through waypoints while maintaining separation from traffic and obstacles. GNSS signals are stable with no multipath or jamming issues. Communication experiences brief downlink outages, but overall link quality remains sufficient.",Continue to last waypoint; mission success is priority.,Descend to 10 m to save battery and avoid wind.,Abort mission immediately; preserve UAV for future use.,Fly through moving no-fly zone; thermal may detect survivor.,Climb to 400 m for better camera coverage and wind stability.,Divert to nearest safe landing zone; await crew retrieval.,Prioritize survivor search within safe altitude and battery limits.,"[""Continue to last waypoint; mission success is priority."", ""Descend to 10 m to save battery and avoid wind."", ""Abort mission immediately; preserve UAV for future use."", ""Fly through moving no-fly zone; thermal may detect survivor."", ""Climb to 400 m for better camera coverage and wind stability."", ""Divert to nearest safe landing zone; await crew retrieval."", ""Prioritize survivor search within safe altitude and battery limits.""]","Human life outweighs asset preservation or mission completion. G balances ethical duty to locate survivors with safety constraints, avoiding no-fly zones and excessive risk. It respects battery limits and environmental hazards while maintaining search effectiveness." 2025-11-01T17:52:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Heavy_Load_Delivery_with_Amphibious_UAV_9d2f94dec04d_mcq.json,uavbench-mcq-v1,Arctic_Heavy_Load_Delivery_with_Amphibious_UAV,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"With 8 kg payload, 10-min endurance, and gusty Arctic winds, which strategy maximizes delivery success under power and navigation limits?","This is a heavy-load delivery mission using an amphibious fixed-wing VTOL UAV in Arctic airspace. The UAV operates within a defined corridor from 10 to 150 meters AGL, navigating around a central cylindrical no-fly zone. Strong, gusty winds increase with altitude and shift direction, creating challenging flight conditions. Icing conditions and rain reduce visibility and are compounded by periodic icing events affecting UAV performance. The UAV carries an 8 kg payload and relies on a full sensor suite including GNSS, radar, LiDAR, and thermal/RGB cameras. GNSS signals are degraded due to jamming and electromagnetic interference, increasing reliance on alternative navigation. The mission requires a runway takeoff and landing, with transition phases between hover and forward flight. A moving spherical obstacle and another UAV create dynamic traffic risks, requiring strict separation monitoring. Communication suffers from uplink failure and periodic downlink losses, limiting remote intervention. The flight must complete within 10 minutes, balancing battery reserves against weather, faults, and navigation challenges.",Climb to 150 m for faster transit despite higher wind drag,Use LiDAR continuously to compensate for GNSS jamming,Reduce sensor suite to radar-only and fly at 10 m AGL,Hover in place until downlink restores for full camera use,Extend flight path to avoid all icing zones using thermal cam,Transition early to forward flight to save battery on hover,Activate full RGB streaming to monitor moving obstacle,"[""Climb to 150 m for faster transit despite higher wind drag"", ""Use LiDAR continuously to compensate for GNSS jamming"", ""Reduce sensor suite to radar-only and fly at 10 m AGL"", ""Hover in place until downlink restores for full camera use"", ""Extend flight path to avoid all icing zones using thermal cam"", ""Transition early to forward flight to save battery on hover"", ""Activate full RGB streaming to monitor moving obstacle""]","Flying at minimum altitude reduces wind exposure and power use, while radar-only operation saves energy over LiDAR/RGB. This balances navigation reliability and power budget, preserving battery for critical VTOL phases and ensuring on-time completion within 10 minutes." 2025-11-01T17:52:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Lost_Link_RTL_with_Heavy_Lift_UAV_67392f1f32e1_mcq.json,uavbench-mcq-v1,Arctic_Lost_Link_RTL_with_Heavy_Lift_UAV,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 240s, lost link and icing occur with 9 m/s winds; which navigation strategy maintains RTL safety?","Heavy lift UAV conducts an Arctic delivery mission in poor visibility with icing conditions and microburst risk. Operating in designated Arctic airspace, the UAV follows a corridor route between four waypoints. The UAV is equipped with GNSS, IMU, lidar, RGB and thermal cameras, supporting navigation and payload tasks. Strong 9 m/s winds from the northwest and gusts up to 4.5 m/s challenge stability and energy use. A static no-fly zone blocks the center of the operational area, while a moving no-fly zone drifts southwest. A dynamic spherical obstacle moves across the flight path, requiring real-time avoidance. At 240 seconds, a lost link fault triggers, disabling uplink and downlink communications for 120 seconds. During the link loss, the UAV must execute RTL while also encountering an icing event that reduces performance. Separation from a crossing UAV traffic must be maintained above 50 meters and 30 seconds TTC. GNSS multipath effects and battery reserve constraints further limit safe flight near obstacles and terrain.",Switch to GNSS-only hold until link recovers,Rely on IMU drift correction using thermal flow,Use lidar-IMU fusion with wind-compensated dead reckoning,Descend to terrain for visual camera stabilization,Follow magnetic heading ignoring IMU bias growth,Increase altitude using GNSS despite multipath risk,Trigger payload drop to offset icing drag,"[""Switch to GNSS-only hold until link recovers"", ""Rely on IMU drift correction using thermal flow"", ""Use lidar-IMU fusion with wind-compensated dead reckoning"", ""Descend to terrain for visual camera stabilization"", ""Follow magnetic heading ignoring IMU bias growth"", ""Increase altitude using GNSS despite multipath risk"", ""Trigger payload drop to offset icing drag""]","Lidar-IM conflates precise terrain-relative positioning with inertial updates, compensating for GNSS denial and icing-induced lift loss. Wind-aware dead reckoning corrects IMU drift under 9 m/s flow, maintaining separation and corridor fidelity when fused data maximizes situational awareness and avoids multipath zones." 2025-11-01T17:52:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_GPS_Spoofing_Scenario_for_HAPS_ee4abd66f412_mcq.json,uavbench-mcq-v1,Arctic_GPS_Spoofing_Scenario_for_HAPS,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 15,000 meters with 120 kt winds, GNSS spoofing begins. What pitch and thrust adjustment maintains grid tracking and lift-to-drag efficiency?","This is a survey mission conducted by a high-altitude pseudo-satellite (HAPS) UAV in Arctic airspace. The UAV operates between 8,000 and 18,000 meters AGL within a defined polygonal airspace featuring a central cylindrical no-fly zone from 9,000 to 16,000 meters. The environment includes strong winds increasing with altitude, poor visibility, and sandstorm conditions, with significant wind shear between layers. The UAV is battery-powered and equipped with radar, RGB and thermal cameras, and standard navigation sensors including GNSS, IMU, and barometer. A major constraint is intentional GNSS spoofing lasting 120 seconds starting at 300 seconds into the mission, compounded by general EM interference and GNSS jamming at -85 dBm. The mission follows a grid pattern across four waypoints at varying altitudes, returning to start, with a 900-second time limit. The UAV must avoid the central no-fly zone while maintaining separation standards of at least 300 meters and 60 seconds time-to-closest-approach. Launch begins at 12,000 meters above a designated spawn point, with an emergency landing site available below. Battery endurance and sensor reliability under spoofing and harsh weather are critical performance factors. The scenario emphasizes resilience in navigation and mission continuity under degraded GNSS conditions.","Increase pitch 3°, reduce thrust 10% to descend rapidly","Hold pitch, increase thrust 20% to overcome headwind","Decrease pitch 2°, increase thrust 15% to maintain airspeed","Increase pitch 5°, maintain thrust to maximize lift","Reduce thrust 25%, hold pitch to minimize drag","Bank 30°, reduce pitch 3° to turn away from no-fly zone","Increase pitch 1°, reduce thrust 5% to optimize L/D ratio","[""Increase pitch 3°, reduce thrust 10% to descend rapidly"", ""Hold pitch, increase thrust 20% to overcome headwind"", ""Decrease pitch 2°, increase thrust 15% to maintain airspeed"", ""Increase pitch 5°, maintain thrust to maximize lift"", ""Reduce thrust 25%, hold pitch to minimize drag"", ""Bank 30°, reduce pitch 3° to turn away from no-fly zone"", ""Increase pitch 1°, reduce thrust 5% to optimize L/D ratio""]","At high altitude, low air density reduces lift and increases stall risk. Decreasing pitch slightly offsets reduced dynamic pressure while added thrust maintains airspeed, preserving lift and control. This balances angle of attack and Reynolds number effects to sustain aerodynamic efficiency during GNSS outage." 2025-11-01T17:52:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Loiter_with_Convertiplane_in_Snowfall_112a8c1dd502_mcq.json,uavbench-mcq-v1,Arctic_Loiter_with_Convertiplane_in_Snowfall,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"At 240s, icing reduces performance inside a polygonal geofence with 30–300m AGL limits and a drifting no-fly zone.","Mission involves a loiter pattern using a convertiplane UAV in Arctic airspace. The UAV operates within a defined polygonal geofence with altitude limits from 30 to 300 meters AGL. Weather includes snowfall, poor visibility, icing conditions, and increasing wind speed with altitude. A convertiplane with VTOL and fixed-wing capabilities carries RGB and thermal cameras plus LiDAR. Notable constraints include a static no-fly zone near the center and a moving no-fly zone drifting northwest. GNSS multipath and electromagnetic interference degrade navigation performance. A traffic UAV and a moving spherical obstacle require dynamic separation using DAA thresholds. The UAV must manage battery reserves and icing effects, with an icing event reducing performance at 240 seconds. Communication dropouts occur briefly at 180 and 420 seconds, challenging command reliability. Landing requires runway alignment, with one preferred and two emergency sites available.",Switch to fixed-wing mode immediately,Climb to 300m for clearer GNSS,"Reduce speed, increase thrust margin",Descend to 30m to avoid wind shear,"Activate de-icing, hold loiter",Eject LiDAR to reduce load,Initiate return to base now,"[""Switch to fixed-wing mode immediately"", ""Climb to 300m for clearer GNSS"", ""Reduce speed, increase thrust margin"", ""Descend to 30m to avoid wind shear"", ""Activate de-icing, hold loiter"", ""Eject LiDAR to reduce load"", ""Initiate return to base now""]","Icing at 240s demands immediate performance margin preservation. Option C balances altitude constraints, wind shear, and payload needs while maintaining mission continuity. Other choices either increase risk, waste energy, or prematurely abandon objectives." 2025-11-01T17:52:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Forest_Search_with_Helicopter_bbd776843797_mcq.json,uavbench-mcq-v1,Arctic_Forest_Search_with_Helicopter,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 14 m/s winds, icing at mid-altitude, and 10–150 m altitude limits, which strategy maximizes detection coverage and safe return?","This is a search and rescue mission using a single fuel-powered helicopter UAV in arctic forest terrain. The operation takes place in a defined rectangular airspace with an altitude range of 10 to 150 meters above ground level. Weather conditions include strong winds up to 14 m/s increasing with altitude, poor visibility, snowfall, and icing risks. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, supporting detection in harsh conditions. A static no-fly zone and a moving restricted zone require real-time avoidance, along with a dynamic obstacle drifting through the area. The UAV must contend with GNSS signal multipath, electromagnetic interference, and brief communication dropouts. Wind shear and directional changes with altitude add complexity to flight control and energy management. An icing event occurs mid-mission, temporarily degrading performance. Air traffic includes another UAV moving through the airspace, requiring separation monitoring. The mission emphasizes navigation resilience, fault tolerance, and timely coverage within strict altitude and geofence constraints.",Climb to 150 m for wider camera view and stronger GNSS,Fly continuous zigzag at 100 m using full sensor suite,"Descend to 20 m, reduce LiDAR power, and shorten sweep paths",Hover every 5 min for thermal stabilization and data transmit,Increase speed to 18 m/s to finish search before battery drop,Rely solely on RGB camera to save power for wind resistance,Ascend periodically for communication burst with ground station,"[""Climb to 150 m for wider camera view and stronger GNSS"", ""Fly continuous zigzag at 100 m using full sensor suite"", ""Descend to 20 m, reduce LiDAR power, and shorten sweep paths"", ""Hover every 5 min for thermal stabilization and data transmit"", ""Increase speed to 18 m/s to finish search before battery drop"", ""Rely solely on RGB camera to save power for wind resistance"", ""Ascend periodically for communication burst with ground station""]","Flying low reduces wind exposure and energy use; reducing LiDAR power conserves energy while maintaining essential sensing. Shorter sweep paths adapt to degraded performance from icing, ensuring return within fuel limits." 2025-11-01T17:52:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Heli-Point_Hover_Inspection_with_Convertiplane_b19bd206b2bb_mcq.json,uavbench-mcq-v1,Arctic_Heli-Point_Hover_Inspection_with_Convertiplane,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,D,False,"Given 120 m AGL ceiling, westerly winds, and icing degrading performance, what minimizes energy use while ensuring inspection and safe return?","This is an Arctic inspection mission using a convertiplane UAV equipped for hover and fixed-wing flight. The operation takes place in a designated airspace near a runway, bounded by static and moving no-fly zones. Weather includes strong westerly winds increasing with altitude, icing conditions, and microburst risk. The UAV carries RGB and thermal cameras for point inspections along a predefined orbit pattern around four waypoints. Key constraints include GNSS multipath, electromagnetic interference, and moderate comms loss windows. The UAV must avoid a dynamic no-fly zone drifting southeast while maintaining separation from other traffic. Icing events temporarily degrade performance mid-mission, requiring robust control. Flight is restricted between 0–120 m AGL with a geofenced operational area. The mission concludes with a runway landing after completing inspections within the time budget.",Climb to 110 m for better comms and wind advantage,Hover at each waypoint to stabilize camera in wind,Reduce camera resolution to save power and weight,Shorten orbit radius to cut flight time and exposure,Increase speed to overcome headwinds and save time,Extend loiter time for redundant thermal imaging,Fly lowest altitude to avoid wind and icing layers,"[""Climb to 110 m for better comms and wind advantage"", ""Hover at each waypoint to stabilize camera in wind"", ""Reduce camera resolution to save power and weight"", ""Shorten orbit radius to cut flight time and exposure"", ""Increase speed to overcome headwinds and save time"", ""Extend loiter time for redundant thermal imaging"", ""Fly lowest altitude to avoid wind and icing layers""]","Shortening the orbit radius reduces flight time and energy expenditure while maintaining inspection coverage. It minimizes exposure to wind and icing, preserving battery for safe return. Other options increase power use or risk endurance without compensating mission gains." 2025-11-01T17:52:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Glider_Mapping_Mission_1af7900117a8_mcq.json,uavbench-mcq-v1,Arctic_Glider_Mapping_Mission,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,Glider at 280 m AGL faces icing from 200–260 s; dynamic obstacle moves west. Complete grid in 600 s with 30% battery reserve.,"This is a glider-based mapping mission in the Arctic airspace. The UAV operates within a defined geofenced area between 50 and 300 meters AGL, avoiding static and moving no-fly zones. Weather conditions include strong westerly winds up to 14 m/s, gusts, poor visibility, rain, and icing risks. The UAV is equipped with RGB and thermal cameras for payload, relying on battery power with a 30% reserve requirement. GNSS signals are degraded due to multipath and interference, and electromagnetic noise further challenges navigation. A dynamic obstacle moves westward, while another UAV flies through the airspace on a fixed path. The mission requires completing a grid pattern over five waypoints within 600 seconds. Icing conditions will temporarily reduce performance between 200 and 260 seconds. Communication experiences two downlink outages, limiting data transmission. Strict separation standards of 25 meters and 15 seconds TTC are enforced to avoid collisions.","Descend to 180 m AGL before 200 s, continue grid, avoid obstacle by 30 m","Climb to 310 m AGL, accelerate grid, transmit data during first outage","Maintain 280 m AGL, delay grid start until 260 s, follow obstacle path","Divert immediately to runway, abort mission, land within geofence","Reduce speed at 200 m AGL, extend loiter, skip two waypoints","Proceed at 280 m AGL, reduce separation to 20 m, complete all waypoints","Adjust path eastward, fly at 240 m AGL during 200–260 s, resume grid","[""Descend to 180 m AGL before 200 s, continue grid, avoid obstacle by 30 m"", ""Climb to 310 m AGL, accelerate grid, transmit data during first outage"", ""Maintain 280 m AGL, delay grid start until 260 s, follow obstacle path"", ""Divert immediately to runway, abort mission, land within geofence"", ""Reduce speed at 200 m AGL, extend loiter, skip two waypoints"", ""Proceed at 280 m AGL, reduce separation to 20 m, complete all waypoints"", ""Adjust path eastward, fly at 240 m AGL during 200–260 s, resume grid""]","Descending to 180 m AGL avoids the 200–260 m icing layer while staying above 50 m AGL. It maintains separation from the westward-moving obstacle and preserves battery by continuing the grid efficiently. Other options violate altitude, separation, timing, or endurance constraints." 2025-11-01T17:52:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Medical_Delivery_by_HAPS_3b496b5783a2_mcq.json,uavbench-mcq-v1,Arctic_Medical_Delivery_by_HAPS,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Which route optimizes time and energy while avoiding icing above 5,000 m, a GNSS jamming zone near Waypoint 3, and maintains 150 m separation?","This is a medical delivery mission using a high-altitude pseudo-satellite (HAPS) UAV in Arctic airspace. The UAV operates between 1,000 and 7,000 meters AGL within a defined polygonal geofence. Weather includes poor visibility, snowfall, icing conditions, and strong winds increasing with altitude. The UAV is battery-powered with a radar, RGB and thermal cameras, and is carrying a 15 kg medical payload. Key constraints include static and moving no-fly zones, dynamic obstacle avoidance, and a requirement to maintain separation of at least 150 meters from other traffic. GNSS multipath and jamming are present, with an intentional GNSS jamming fault occurring mid-mission. Icing conditions are expected, reducing performance, and communication dropouts are possible during specified time windows. The mission involves flying a corridor pattern through five waypoints within a 10-minute time budget. The UAV must avoid terrain and obstacles while managing energy use carefully due to limited battery capacity. Emergency and preferred landing sites are predefined, though no runway is required for this HAPS operation.","Climb to 6,500 m early; direct path to all waypoints","Descend to 1,200 m; fly clockwise arc around WP3","Hold 4,800 m; straight-line transitions between all waypoints","Ascend after WP2 to 7,000 m; overfly moving NFZ","Reroute south of WP3 at 3,000 m; delay WP4 by 3 min","Use thermal updrafts at 2,000 m; skip WP1","Follow corridor at 4,500 m; adjust heading for wind drift","[""Climb to 6,500 m early; direct path to all waypoints"", ""Descend to 1,200 m; fly clockwise arc around WP3"", ""Hold 4,800 m; straight-line transitions between all waypoints"", ""Ascend after WP2 to 7,000 m; overfly moving NFZ"", ""Reroute south of WP3 at 3,000 m; delay WP4 by 3 min"", ""Use thermal updrafts at 2,000 m; skip WP1"", ""Follow corridor at 4,500 m; adjust heading for wind drift""]","Flying at 4,500 m avoids severe icing above 5,000 m and stays within efficient battery use. Adjusting heading compensates for wind and maintains accurate corridor tracking during GNSS degradation. This path preserves timing, avoids NFZs, and ensures sensor-based navigation resilience." 2025-11-01T17:52:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Mountain_Ridge_BVLOS_HeavyLift_a6821085be62_mcq.json,uavbench-mcq-v1,Arctic_Mountain_Ridge_BVLOS_HeavyLift,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"At 445 seconds, GNSS degrades; winds are 8.5 m/s with gusts to 4.2 m/s. A moving obstacle approaches at 500 m AGL. What's optimal?","This is a BVLOS heavy-lift UAV delivery mission in Arctic mountainous terrain. The UAV operates within a defined airspace corridor from 50 to 600 meters AGL. Strong westerly winds of 8.5 m/s with gusts up to 4.2 m/s challenge flight stability. The UAV is an 8-rotor heavy-lift platform carrying a 15 kg payload with both RGB and thermal cameras, LiDAR, and radar. Thermal updrafts are present near a plume at (300, 400), offering potential lift. A static no-fly zone blocks the central area, and a moving no-fly zone drifts slowly through the environment. A second UAV and a moving spherical obstacle create dynamic collision risks. GNSS signals may experience brief outages between 120–130 and 450–465 seconds. The mission must be completed within 900 seconds while maintaining safe separation and avoiding geofence breaches. Battery reserve is set to 30%, and communication links must stay above -85 dBm.",Continue current path; rely on radar and LiDAR for obstacle avoidance.,Climb to 600 m AGL to use thermal updrafts and avoid the obstacle.,Descend to 50 m AGL to minimize wind exposure and fly under obstacle.,Abort mission immediately and return to base at maximum speed.,Enter no-fly zone briefly to gain shelter from westerly winds.,Hover in place using optical flow until GNSS signal recovers.,Jettison 15 kg payload to reduce risk and improve maneuverability.,"[""Continue current path; rely on radar and LiDAR for obstacle avoidance."", ""Climb to 600 m AGL to use thermal updrafts and avoid the obstacle."", ""Descend to 50 m AGL to minimize wind exposure and fly under obstacle."", ""Abort mission immediately and return to base at maximum speed."", ""Enter no-fly zone briefly to gain shelter from westerly winds."", ""Hover in place using optical flow until GNSS signal recovers."", ""Jettison 15 kg payload to reduce risk and improve maneuverability.""]","Continuing with sensor redundancy (radar, LiDAR) maintains mission integrity while adhering to geofence and safety margins. Other options violate airspace laws, endanger assets, or recklessly discard payload without emergency justification. A balances operational risk, legal compliance, and system capability within battery and time constraints." 2025-11-01T17:52:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Medical_Delivery_by_Octocopter_9549314be603_mcq.json,uavbench-mcq-v1,Arctic_Medical_Delivery_by_Octocopter,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,Octocopter must deliver 2 kg medical payload in 600 s with 8 m/s winds and icing at 240 s.,"This is an emergency medical delivery mission using an octocopter UAV in Arctic airspace. The flight occurs in poor visibility with active snowfall and icing conditions, and a wind speed of 8 m/s from the west with gusts up to 4.5 m/s. The UAV is equipped with a battery-powered octocopter configuration, carrying a 2 kg medical payload, and is fitted with GNSS, IMU, lidar, RGB and thermal cameras for navigation and sensing. The operational altitude is restricted between 10 and 120 meters AGL within a defined polygon geofence. There are two no-fly zones: one static cylinder and one moving cylindrical zone drifting westward, requiring real-time avoidance. The mission must be completed within 600 seconds, navigating through a corridor of waypoints from spawn to a preferred landing site. Air traffic includes a UAV entering from the east, and a moving spherical obstacle drifts diagonally across the path. A simulated icing event occurs at 240 seconds, reducing performance for one minute, and communication experiences brief downlink losses at 300 and 450 seconds. Strict separation standards of 25 meters and 15 seconds time-to-collision are enforced to avoid conflicts with obstacles and other traffic.",Fly highest altitude to avoid obstacles early,Reduce camera frame rate to save power,Increase speed to minimize exposure to wind,Circle to wait for communication recovery,Ascend rapidly to escape icing layer,Use full lidar resolution throughout the mission,Land immediately after payload drop,"[""Fly highest altitude to avoid obstacles early"", ""Reduce camera frame rate to save power"", ""Increase speed to minimize exposure to wind"", ""Circle to wait for communication recovery"", ""Ascend rapidly to escape icing layer"", ""Use full lidar resolution throughout the mission"", ""Land immediately after payload drop""]","Reducing camera frame rate cuts power use without compromising navigation, preserving battery for wind and icing. This balances sensor utility and energy, ensuring return within 600 s. Other options waste energy or increase risk during critical phases." 2025-11-01T17:52:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Package_Delivery_Swarm_6678bab6a44f_mcq.json,uavbench-mcq-v1,Arctic_Package_Delivery_Swarm,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"Given 16 m/s winds, 0.8 kg payload, and icing reducing lift for 1 min, which action maintains control without exceeding power limits?","This is a package delivery mission conducted by a swarm of five UAVs in Arctic airspace. The operation takes place within a defined 500m x 500m geofenced area, featuring both static and moving no-fly zones. Weather conditions include strong winds up to 16 m/s at altitude, poor visibility, snowfall, icing risk, and potential microbursts. The UAVs are battery-powered octocopters equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Each drone carries a 0.8 kg payload and operates under strict battery reserve requirements. The swarm must navigate around a stationary cylindrical no-fly zone and a dynamic obstacle moving at 2.5 m/s. GNSS signals are degraded due to multipath effects and electromagnetic interference, complicating positioning. The mission involves flying a corridor pattern through three waypoints before reaching the delivery drop-off point. A separate UAV is present in the airspace, requiring separation management using DAA thresholds. An icing event fault is introduced mid-mission, reducing performance for one minute.",Increase pitch to 15° to climb above wind shear,Reduce airspeed to 8 m/s to minimize drag in gusts,Bank 45° toward wind to counter lateral drift,Apply symmetric throttle boost to compensate for ice-induced lift loss,Descend at 3 m/s to denser air for improved Reynolds number,Yaw right 20° to align with wind and reduce frontal exposure,Extend flaps to increase wing area and lift coefficient,"[""Increase pitch to 15° to climb above wind shear"", ""Reduce airspeed to 8 m/s to minimize drag in gusts"", ""Bank 45° toward wind to counter lateral drift"", ""Apply symmetric throttle boost to compensate for ice-induced lift loss"", ""Descend at 3 m/s to denser air for improved Reynolds number"", ""Yaw right 20° to align with wind and reduce frontal exposure"", ""Extend flaps to increase wing area and lift coefficient""]","Icing reduces airfoil lift, requiring increased thrust to maintain lift-to-weight balance without stalling. Symmetric throttle boost compensates for lost lift while preserving directional stability. Other options either induce stall, increase drag excessively, or are ineffective on multirotors lacking flaps or fixed wings." 2025-11-01T17:52:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Glider_Emergency_Landing_Due_to_Low_Visibility_and_Battery_Depletion_dd69fe391fee_mcq.json,uavbench-mcq-v1,Arctic_Glider_Emergency_Landing_Due_to_Low_Visibility_and_Battery_Depletion,minimax/minimax-m1,9,Comparative System Reasoning,7,?,F,False,"Which system maximizes survival during forced landing with 13.5 m/s winds, icing, and GNSS jamming at 200 m AGL?","A glider UAV conducts a battery-constrained mission in Arctic airspace with poor visibility due to snowfall and icing conditions. The UAV is equipped with a battery-powered propulsion system and carries a multi-sensor payload including RGB and thermal cameras, LIDAR, and standard navigation sensors. It operates within a defined 300-meter AGL ceiling and a rectangular geofenced area, avoiding two no-fly zones—one static and one dynamically moving. Strong, gusting winds increase from 8.5 m/s at ground level to 13.5 m/s at 200 meters, shifting in direction with altitude. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference further challenges navigation. The mission transitions to an emergency forced landing due to battery depletion, exacerbated by a simulated icing event that degrades aerodynamic performance. The UAV must avoid a moving obstacle and maintain separation from another UAV flying through the airspace. Primary and alternate emergency landing sites are available, but visibility and sensor degradation complicate approach and touchdown. Battery reserve thresholds, communication dropouts, and DAA system alerts are critical constraints throughout the flight. The scenario tests autonomous decision-making under combined energy, weather, navigation, and obstacle avoidance challenges.",Fixed-pitch propeller; minimal power use but poor thrust control in gusts,Dual redundant IMUs; high fault tolerance but doubles weight and power,Vision-only navigation; low cost but fails in snowfall and poor visibility,Preemptive glide slope to primary site; shortest path but ignores wind shift,LIDAR-aided terrain mapping; precise but high energy draw depletes battery faster,Adaptive glide path using wind shear data; optimizes energy and obstacle avoidance,Emergency hover before landing; improves accuracy but unsustainable on reserve power,"[""Fixed-pitch propeller; minimal power use but poor thrust control in gusts"", ""Dual redundant IMUs; high fault tolerance but doubles weight and power"", ""Vision-only navigation; low cost but fails in snowfall and poor visibility"", ""Preemptive glide slope to primary site; shortest path but ignores wind shift"", ""LIDAR-aided terrain mapping; precise but high energy draw depletes battery faster"", ""Adaptive glide path using wind shear data; optimizes energy and obstacle avoidance"", ""Emergency hover before landing; improves accuracy but unsustainable on reserve power""]","F leverages wind shear data to optimize glide path, conserving energy while adapting to shifting winds and avoiding obstacles. It balances aerodynamic efficiency, sensor reliability, and battery constraints under icing conditions. Other options fail due to excessive power use, environmental vulnerability, or inability to handle dynamic flight stresses." 2025-11-01T17:52:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Medical_Hexacopter_Delivery_232fff141e18_mcq.json,uavbench-mcq-v1,Arctic_Medical_Hexacopter_Delivery,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"During critical icing, winds gust to 12 m/s; UAV must reach (450,450,30) in 580 s with 25 m separation from northbound UAV.","This is an emergency medical delivery mission using a battery-powered hexacopter in Arctic airspace. The UAV carries a 2 kg payload with RGB and thermal cameras, plus LiDAR for navigation. Flight occurs between 10–120 m AGL within a 500×500 m geofenced zone containing a static no-fly cylinder and a moving no-fly zone. The environment features strong 8 m/s winds from the west, gusts up to 4 m/s, snowfall, and icing conditions. A critical icing event occurs mid-mission, reducing performance by 40% for one minute. The UAV must avoid a dynamic no-fly zone moving diagonally and a descending spherical obstacle near the corridor. It shares airspace with another UAV flying northbound at 12 m/s, requiring 25 m separation and 15 s time-to-collision thresholds. GNSS signals may experience multipath due to terrain and weather, and a 10-second comms loss window occurs during flight. The mission must be completed within 600 seconds, starting from (50,50,30) and ending at the preferred landing site (450,450,30).",Climb to 120 m AGL to avoid obstacle and maintain VLOS,Descend to 10 m AGL to reduce wind exposure and save energy,Hold position at 30 m AGL until comms and GNSS stabilize,"Divert east around moving NFZ, maintaining 60 m AGL","Accelerate to 15 m/s directly toward target, ignoring separation","Descend to 20 m AGL, then divert west to avoid dynamic NFZ","Pitch up immediately to clear spherical obstacle, then resume course","[""Climb to 120 m AGL to avoid obstacle and maintain VLOS"", ""Descend to 10 m AGL to reduce wind exposure and save energy"", ""Hold position at 30 m AGL until comms and GNSS stabilize"", ""Divert east around moving NFZ, maintaining 60 m AGL"", ""Accelerate to 15 m/s directly toward target, ignoring separation"", ""Descend to 20 m AGL, then divert west to avoid dynamic NFZ"", ""Pitch up immediately to clear spherical obstacle, then resume course""]","Diverting east at 60 m AGL avoids the moving no-fly zone and maintains safe separation from the northbound UAV while staying above ground effect turbulence and within acceptable icing performance margins. Other options either violate separation, increase icing risk, or waste time and energy. This path balances endurance, obstacle clearance, and dynamic airspace constraints within the mission timeline." 2025-11-01T17:52:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Hail_Recon_VTOL_3eeac73d86f6_mcq.json,uavbench-mcq-v1,Arctic_Hail_Recon_VTOL,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 2.1 kg payload, 15 m/s winds, and icing reducing performance 2 min, how should the UAV optimize battery use during transition phases?","A VTOL tiltrotor UAV conducts an area reconnaissance mission in the Arctic using fixed-wing flight. The mission takes place within a defined polygonal airspace, bounded between 50 and 600 meters AGL. Strong winds increase with altitude, reaching 15 m/s from the northwest, and gusting up to 4.2 m/s, with poor visibility due to hail. The UAV carries an RGB camera, thermal camera, LIDAR, and other standard sensors, with a 2.1 kg payload. Key constraints include a static no-fly zone near the center and a moving no-fly zone drifting southwest. A second UAV and a moving spherical obstacle create dynamic collision risks. GNSS signals suffer from multipath and moderate jamming, while electromagnetic interference is present. The UAV must manage battery reserves carefully, especially during transitions between hover and forward flight. An icing event occurs mid-mission, reducing performance for two minutes, and brief comms dropouts challenge command reliability.",Increase speed to minimize exposure to gusts,Delay transition until wind shear decreases,Reduce sensor power during climb and descent,Hover longer to ensure positioning accuracy,Activate de-icing continuously for safety,Transmit all LIDAR data in real time,Fly through moving no-fly zone to shorten route,"[""Increase speed to minimize exposure to gusts"", ""Delay transition until wind shear decreases"", ""Reduce sensor power during climb and descent"", ""Hover longer to ensure positioning accuracy"", ""Activate de-icing continuously for safety"", ""Transmit all LIDAR data in real time"", ""Fly through moving no-fly zone to shorten route""]",Reducing sensor power during high-draw transition phases balances mission data needs with battery conservation. This compensates for increased power demands from wind and brief icing effects. Other options either increase energy use or risk collision or communication overload. 2025-11-01T17:52:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Powerline_Inspection_with_Octocopter_d1277a9b87a2_mcq.json,uavbench-mcq-v1,Arctic_Powerline_Inspection_with_Octocopter,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 110 m AGL, winds 12 m/s, icing onset: proceed to next waypoint or divert?","This mission involves an octocopter conducting a powerline inspection in a remote arctic airspace. The UAV operates within a defined corridor between 10 and 120 meters AGL, bounded by a polygonal geofence. Weather conditions include strong winds up to 12 m/s, poor visibility, lightning risk, and icing conditions that impact flight performance. The octocopter is equipped with RGB and thermal cameras, LIDAR, and full sensor suite, carrying a 1.2 kg payload. Key constraints include a stationary no-fly zone and a moving no-fly cylinder that requires real-time avoidance. GNSS multipath effects and electromagnetic interference degrade navigation accuracy, with a simulated GNSS jamming event occurring mid-mission. The UAV must maintain separation of at least 25 meters from other traffic, including a fixed-trajectory intruder UAV. Battery endurance is limited, with a 30% reserve required and reduced efficiency due to wind and icing. Thermal updrafts near infrastructure provide minor lift, but fault events like icing and comms loss challenge mission resilience. The mission emphasizes reliable navigation, obstacle avoidance, and successful waypoint completion within a tight time budget.",Continue to next waypoint at 110 m AGL,Descend to 10 m AGL and hold position,Climb above 120 m AGL for smoother air,Divert immediately to nearest safe landing zone,Reduce speed to conserve battery below 30%,Turn toward thermal updrafts to extend endurance,Request waiver to enter moving no-fly cylinder,"[""Continue to next waypoint at 110 m AGL"", ""Descend to 10 m AGL and hold position"", ""Climb above 120 m AGL for smoother air"", ""Divert immediately to nearest safe landing zone"", ""Reduce speed to conserve battery below 30%"", ""Turn toward thermal updrafts to extend endurance"", ""Request waiver to enter moving no-fly cylinder""]","Continuing at 110 m AGL or descending to 10 m increases icing and wind exposure within the corridor, while climbing violates the 120 m AGL limit. Diverting avoids compounding risks from GNSS jamming, reduced endurance, and navigation degradation. D ensures separation, adheres to altitude bounds, and prioritizes safe landing before fault escalation." 2025-11-01T17:52:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Night_Operations_Training_for_High-Altitude_Pseudo-Satellite_UAV_8ee7ced8dbc9_mcq.json,uavbench-mcq-v1,Arctic_Night_Operations_Training_for_High-Altitude_Pseudo-Satellite_UAV,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 18,000m in strong winds, with GNSS jamming at -75 dBm and a drifting spherical obstacle, what avoidance strategy maintains grid coverage and DAA compliance?","This scenario involves a high-altitude pseudo-satellite UAV conducting a survey mission in Arctic airspace during night conditions. The UAV operates between 10,000 and 20,000 meters above ground level within a defined polygonal geofence. Strong winds up to 20 m/s with directional shear and gusts are present, worsening at higher altitudes, along with snowfall and icing conditions. The UAV is equipped with radar, RGB and thermal cameras, and relies on GNSS/IMU navigation, though it faces GNSS multipath, jamming at -75 dBm, and electromagnetic interference. Key constraints include a static no-fly zone over the center of the area and a moving no-fly zone shifting southwest, requiring real-time avoidance. The mission follows a grid pattern across five waypoints above 15,000 meters, demanding strict altitude and spatial compliance. A traffic UAV and a drifting spherical obstacle introduce collision risks, with DAA thresholds set at 500 meters separation and 60 seconds time-to-contact. The UAV must manage battery reserves under high power demand, especially during an induced icing event at 200 seconds that degrades performance for two minutes. Communication experiences brief downlink outages, and a runway-assisted takeoff and landing are required at designated sites.","Descend to 14,000m to avoid wind shear and icing",Hold position until the traffic UAV clears the waypoint,Adjust heading left by 15° to detour around obstacle,Accelerate to reach next waypoint before snowfall intensifies,Broadcast intent to alter path and coordinate offset with traffic UAV,"Climb to 20,000m for clearer GNSS signal and obstacle clearance",Switch to IMU-only navigation and maintain current course,"[""Descend to 14,000m to avoid wind shear and icing"", ""Hold position until the traffic UAV clears the waypoint"", ""Adjust heading left by 15° to detour around obstacle"", ""Accelerate to reach next waypoint before snowfall intensifies"", ""Broadcast intent to alter path and coordinate offset with traffic UAV"", ""Climb to 20,000m for clearer GNSS signal and obstacle clearance"", ""Switch to IMU-only navigation and maintain current course""]","E ensures inter-agent situational awareness by broadcasting path changes, enabling synchronized collision avoidance with the traffic UAV while preserving grid pattern integrity. It respects DAA thresholds, maintains communication coherence, and avoids unilateral actions that could degrade swarm coordination. Other options either break spatial compliance, ignore communication needs, or increase collision risk." 2025-11-01T17:52:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Pipeline_Inspection_with_Heavy_Lift_UAV_1d63126d75e7_mcq.json,uavbench-mcq-v1,Arctic_Pipeline_Inspection_with_Heavy_Lift_UAV,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"During a 60-second icing fault at 120m AGL with GNSS multipath, what action maintains safety within 600-second endurance?","This scenario involves an Arctic pipeline inspection mission using a heavy-lift octocopter UAV. The flight occurs in a designated arctic airspace with a fixed polygonal geofence and two no-fly zones, one static and one moving. Weather conditions include strong winds from the northwest, gusts, snowfall, and icing, contributing to poor visibility. The UAV carries a payload equipped with RGB and thermal cameras, LiDAR, and radar for inspection tasks. It must navigate a corridor-style waypoint path while avoiding obstacles and maintaining safe separation from other air traffic. Key constraints include a moving obstacle and a dynamic no-fly zone, both requiring real-time avoidance. GNSS multipath effects and potential icing events are expected, with an icing fault simulated for 60 seconds during the mission. Communication dropouts occur twice, each lasting 15 seconds, testing data resilience. The UAV must complete the mission within 600 seconds while managing battery reserves and adhering to altitude and separation requirements. Emergency and preferred landing sites are predefined for contingency planning.",Climb to 150m to avoid terrain multipath,Descend to 90m AGL and proceed direct,"Hold altitude, disable LiDAR to save power",Divert immediately to emergency landing site,Reduce speed by 30% and descend to 80m,Continue at 120m AGL on current heading,"Ascend to 130m, then divert around NFZ","[""Climb to 150m to avoid terrain multipath"", ""Descend to 90m AGL and proceed direct"", ""Hold altitude, disable LiDAR to save power"", ""Divert immediately to emergency landing site"", ""Reduce speed by 30% and descend to 80m"", ""Continue at 120m AGL on current heading"", ""Ascend to 130m, then divert around NFZ""]","Icing degrades lift and control; continuing at altitude risks loss of control. Diverting ensures landing before endurance or icing worsens. Other options increase exposure to icing, multipath, or violate separation during degraded navigation." 2025-11-01T17:52:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Pipeline_Inspection_with_Heavy_Lift_UAV_79297f08c920_mcq.json,uavbench-mcq-v1,Arctic_Pipeline_Inspection_with_Heavy_Lift_UAV,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 45m altitude, 8.5 m/s winds, and GNSS degradation, which navigation strategy maintains accuracy during the 120s icing event?","This mission involves inspecting an Arctic pipeline using a heavy-lift multirotor UAV equipped with RGB and thermal cameras, LiDAR, and full suite navigation sensors. The flight occurs in a remote arctic airspace with poor visibility due to hail and icing conditions, and sustained winds of 8.5 m/s from 240 degrees with frequent gusts. The UAV operates within a defined corridor between 30 and 120 meters AGL, bounded by a polygonal geofence and two no-fly zones—one static and one moving dynamically across the area. The UAV must follow a predefined set of waypoints at 45 meters altitude while avoiding a moving spherical obstacle and potential conflict with an intruder UAV traveling at 15 m/s. Key constraints include GNSS signal degradation risks from Arctic multipath effects, battery limitations requiring careful energy management, and a 35% reserve energy requirement. The UAV is subject to a 120-second icing event that reduces performance by 60% midway through the mission, compounding existing icing risks. Communication links experience two brief downlink outages, requiring resilient data handling and local decision-making. The mission must be completed within 600 seconds, with no runway available, requiring precision hover landings at designated sites. Collision avoidance is enforced with a 25-meter separation threshold and 20-second time-to-closest-approach buffer. Success depends on maintaining safe separation, avoiding geofence and altitude violations, and completing the inspection despite environmental and system challenges.",Prioritize GNSS despite multipath errors,Switch exclusively to LiDAR in hail,Fuse IMU with visual odometry post-GNSS drop,Rely on magnetic heading in polar region,Use barometer for altitude in icing,Depend on waypoint timer without sensing,Disable collision avoidance to save power,"[""Prioritize GNSS despite multipath errors"", ""Switch exclusively to LiDAR in hail"", ""Fuse IMU with visual odometry post-GNSS drop"", ""Rely on magnetic heading in polar region"", ""Use barometer for altitude in icing"", ""Depend on waypoint timer without sensing"", ""Disable collision avoidance to save power""]",GNSS degrades in Arctic multipath; visual-inertial fusion compensates during outages. IMU bridges gaps while cameras track features despite hail. This maintains position accuracy and supports obstacle avoidance under icing-induced performance loss. 2025-11-01T17:52:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Package_Delivery_with_Convertiplane_0540828c2bee_mcq.json,uavbench-mcq-v1,Arctic_Package_Delivery_with_Convertiplane,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 550m AGL, 400s into mission, icing reduces performance for 1min. Winds 16m/s. 80s to destination. Proceed, descend, or divert?","This is a delivery mission using a convertiplane UAV in Arctic airspace. The UAV operates within a defined corridor between 50 and 600 meters AGL, navigating through poor visibility caused by fog and icing conditions. Winds are strong, increasing with altitude from 8 m/s at ground level to 16 m/s at 500 meters, with directional shear. The UAV is equipped with a battery-powered propulsion system, RGB and thermal cameras, LiDAR, and full navigation sensors, carrying a 3 kg payload. It must avoid static and dynamic no-fly zones, including a moving obstacle and a drifting NFZ, while maintaining separation from other traffic. GNSS signals are degraded due to multipath and interference, with brief communication loss periods during the mission. The flight profile includes transitions between hover and fixed-wing modes, requiring a runway for takeoff and landing. Icing events will occur mid-mission, reducing performance for one minute. The UAV must complete the delivery within 600 seconds while managing battery reserves and environmental hazards.",Continue to destination; mission priority justifies risk.,Descend to 100m AGL to reduce wind exposure and icing risk.,Climb to 700m AGL for smoother airflow above shear layer.,Abort mission and return to base immediately.,Eject payload to reduce weight and improve controllability.,Enter hover mode and land vertically at nearest safe spot.,Transmit distress signal and await ATC reroute instruction.,"[""Continue to destination; mission priority justifies risk."", ""Descend to 100m AGL to reduce wind exposure and icing risk."", ""Climb to 700m AGL for smoother airflow above shear layer."", ""Abort mission and return to base immediately."", ""Eject payload to reduce weight and improve controllability."", ""Enter hover mode and land vertically at nearest safe spot."", ""Transmit distress signal and await ATC reroute instruction.""]","Descending to 100m reduces exposure to high winds and severe icing while staying within operational corridor and avoiding uncontrolled descent. It balances safety, mission continuity, and regulatory compliance. Other options either violate altitude limits, endanger property, or escalate risk during GNSS degradation." 2025-11-01T17:52:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Sandstorm_Battery_Emergency_Swarm_d0fccb0dd54b_mcq.json,uavbench-mcq-v1,Arctic_Sandstorm_Battery_Emergency_Swarm,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,At 120s GNSS fails; at 300s motor fault hits. Winds reach 18 m/s at 100m. How to land all 5 UAVs within 600s?,"A swarm of five hybrid VTOL UAVs operates in a high-wind Arctic environment during a severe sandstorm with poor visibility. The mission is a battery emergency forced landing requiring immediate safe descent within a 600-second time limit. The airspace is a 200m x 200m polygon with a static no-fly zone cylinder at the center and a second moving no-fly zone drifting diagonally across the area. Winds increase with altitude, reaching 18 m/s from the west at 100m, and gusts add turbulence throughout. Each UAV is equipped with GNSS, IMU, lidar, radar, RGB and thermal cameras, but faces GNSS jamming and electromagnetic interference. A fault triggers GNSS jamming at 120 seconds and a partial motor failure at 300 seconds, compounding control challenges. Communication suffers intermittent uplink loss, limiting remote intervention during critical phases. The swarm must maintain 5m inter-drone separation while avoiding a moving spherical obstacle and a conflicting UAV on a diagonal path. Two emergency landing sites are available, but navigation is hindered by sandstorm-induced sensor degradation and GNSS multipath. The UAVs must complete the spiral-pattern mission without runway use, relying on robust DAA systems to maintain 25m separation thresholds.",Immediate spiral descent below 30m AGL to minimize wind and GNSS multipath,Climb to 100m for clearer radar returns before gliding to eastern edge,"Hold at 80m until 300s to assess motor fault, then descend in formation",Eject westward into high wind to escape moving NFZ before rapid descent,Descend linearly while spreading laterally to 10m separation for safety margin,Delay descent until 250s to await uplink restoration for remote piloting,"Ascend to 110m to clear turbulence layer, then execute GPS-dependent spiral","[""Immediate spiral descent below 30m AGL to minimize wind and GNSS multipath"", ""Climb to 100m for clearer radar returns before gliding to eastern edge"", ""Hold at 80m until 300s to assess motor fault, then descend in formation"", ""Eject westward into high wind to escape moving NFZ before rapid descent"", ""Descend linearly while spreading laterally to 10m separation for safety margin"", ""Delay descent until 250s to await uplink restoration for remote piloting"", ""Ascend to 110m to clear turbulence layer, then execute GPS-dependent spiral""]","Descending below 30m reduces exposure to 18 m/s winds and GNSS multipath, critical after jamming at 120s. It avoids the moving NFZ and preserves energy for fault tolerance post-300s. Other options increase altitude (worsening wind risk), delay action, or rely on failed systems." 2025-11-01T17:52:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Rain_Corridor_Follow_with_Octocopter_ab147d502f4f_mcq.json,uavbench-mcq-v1,Arctic_Rain_Corridor_Follow_with_Octocopter,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"An octocopter flies at 50 m AGL in Arctic rain with 4.2 m/s gusts, facing a moving obstacle and 20-second comms loss. Which path optimizes safety and timing?","This mission involves an octocopter conducting an inspection in a narrow corridor within Arctic airspace. The UAV operates in poor visibility with active rain and icing conditions, facing steady winds from the southwest and gusts up to 4.2 m/s. Equipped with GNSS, IMU, lidar, and RGB camera, the UAV must follow a linear waypoint path at 50 m AGL. The flight is constrained by a polygonal geofence and two no-fly zones, one static and one moving. A dynamic obstacle drifts through the airspace, requiring real-time avoidance. The UAV must maintain separation of at least 25 m from other traffic, including a crossing UAV. An icing fault event occurs mid-mission, degrading performance for one minute. Communication experiences a brief 20-second downlink loss. Battery reserve is set to 30%, and safe landing sites are designated near the route end.",Direct route through static NFZ to save time,Climb to 70 m AGL to avoid dynamic obstacle,Descend to 30 m AGL for wind stability,Preemptive lateral detour maintaining 50 m AGL,Halt at next waypoint until comms restored,Reroute below moving NFZ edge at 45 m AGL,Proceed straight; rely on lidar for last-second turn,"[""Direct route through static NFZ to save time"", ""Climb to 70 m AGL to avoid dynamic obstacle"", ""Descend to 30 m AGL for wind stability"", ""Preemptive lateral detour maintaining 50 m AGL"", ""Halt at next waypoint until comms restored"", ""Reroute below moving NFZ edge at 45 m AGL"", ""Proceed straight; rely on lidar for last-second turn""]","The detour maintains the required 50 m AGL, avoids both NFZs, and accounts for GNSS drift and re-routing latency. It ensures 25 m separation from the dynamic obstacle and crossing UAV while preserving battery. Other options violate altitude, enter NFZs, increase risk during comms loss, or waste time." 2025-11-01T17:52:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Ship_Deck_Delivery_with_Convertiplane_df711ebc9d32_mcq.json,uavbench-mcq-v1,Arctic_Ship_Deck_Delivery_with_Convertiplane,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,"At 250 m AGL, 15 m/s gusts, and after icing fault, which action balances safety, energy, and navigation in 500x500 m zone?","This is a delivery mission using a convertiplane UAV in Arctic airspace near a ship deck. The UAV operates within a 500x500 meter geofenced area, with altitude restricted between 10 and 300 meters AGL. Weather includes strong winds up to 15 m/s, gusts, snowfall, and icing conditions, with wind increasing and shifting direction at higher altitudes. The UAV carries a 2 kg payload and is equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. Notable constraints include a static no-fly zone at the center and a moving no-fly zone drifting northwest. A second UAV and a moving spherical obstacle create dynamic collision risks. GNSS multipath and electromagnetic interference degrade navigation performance, with brief communication outages expected. The mission requires a runway takeoff and landing, with a preferred landing site at the far corner of the zone. An icing fault event occurs mid-mission, reducing performance for one minute, while strict separation and DAA thresholds must be maintained.","Descend to 100 m, reduce speed to 12 m/s, avoid moving obstacle","Climb to 300 m, increase speed to 20 m/s, overfly no-fly zone","Maintain 250 m, speed 15 m/s, direct path to landing corner","Descend to 15 m, fly east boundary, thermal-assisted obstacle detection","Hold hover at 200 m, wait 90 s for wind stability and comms restore","Increase speed to 18 m/s at 220 m, cut across static no-fly zone","Bank sharply to avoid UAV, pitch up, maintain current altitude and speed","[""Descend to 100 m, reduce speed to 12 m/s, avoid moving obstacle"", ""Climb to 300 m, increase speed to 20 m/s, overfly no-fly zone"", ""Maintain 250 m, speed 15 m/s, direct path to landing corner"", ""Descend to 15 m, fly east boundary, thermal-assisted obstacle detection"", ""Hold hover at 200 m, wait 90 s for wind stability and comms restore"", ""Increase speed to 18 m/s at 220 m, cut across static no-fly zone"", ""Bank sharply to avoid UAV, pitch up, maintain current altitude and speed""]","Descending to 100 m reduces wind exposure and conserves energy while staying above minimum safe altitude. Reduced speed enhances control stability post-icing and improves DAA compliance. This path avoids dynamic obstacles and adheres to geofencing, balancing aerodynamic, navigational, and safety constraints." 2025-11-01T17:52:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Search_and_Rescue_with_Glider_6e9653582118_mcq.json,uavbench-mcq-v1,Arctic_Search_and_Rescue_with_Glider,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During GNSS jamming at -85 dBm and an icing event, what action ensures resilient navigation and control within 30–250 m AGL?","Arctic search and rescue mission using a fixed-wing glider UAV equipped with RGB and thermal cameras. Flight occurs in a designated arctic airspace with poor visibility due to snowfall and icing conditions. Wind speeds increase with altitude, reaching up to 14.5 m/s from the northwest, with gusts up to 4.2 m/s. The glider relies on battery power and utilizes aerodynamic efficiency for endurance, with a max speed of 22 m/s. Payload includes sensors for GNSS, IMU, magnetometer, barometer, and dual cameras for detection. GNSS signals are degraded by multipath effects and interference, with jamming at -85 dBm. The operational altitude is constrained between 30 m and 250 m AGL within a polygonal geofence. A static no-fly zone and a moving no-fly cylinder must be avoided during flight. Separation from other traffic is monitored with a 25 m minimum distance threshold. An icing event fault is simulated mid-mission, reducing performance for 60 seconds.",Switch to IMU and barometer with encrypted sensor fusion,Rely on unverified GNSS signals to maintain course,Disable encryption to reduce navigation processing delay,Use magnetometer-only heading during northwest wind gusts,Increase camera transmission rate unencrypted,Acknowledge commands without authentication to save power,Fly at max speed toward destination ignoring geofence,"[""Switch to IMU and barometer with encrypted sensor fusion"", ""Rely on unverified GNSS signals to maintain course"", ""Disable encryption to reduce navigation processing delay"", ""Use magnetometer-only heading during northwest wind gusts"", ""Increase camera transmission rate unencrypted"", ""Acknowledge commands without authentication to save power"", ""Fly at max speed toward destination ignoring geofence""]",A- ensures control stability by using trusted inertial and pressure sensors during GNSS jamming. Encrypted fusion preserves data integrity against spoofing. It maintains mission continuity within altitude and geofence constraints despite icing and jamming. 2025-11-01T17:52:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Ship_Deck_Delivery_by_HAPS_0481e4e59dd6_mcq.json,uavbench-mcq-v1,Arctic_Ship_Deck_Delivery_by_HAPS,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"A HAPS UAV must cross a drifting cylinder at 100–1200 m AGL with 900 s endurance, 50 m separation, and icing at mid-mission.","This scenario involves a delivery mission using a high-altitude pseudo-satellite (HAPS) UAV in Arctic airspace. The UAV operates within an altitude range of 100 to 1200 meters AGL over a defined polygonal area. Weather conditions include strong westerly winds increasing with altitude, gusts, and thermal updrafts that can assist lift. The UAV is battery-powered, equipped with radar, RGB and thermal cameras, and relies on GNSS despite signal multipath and moderate jamming. It must avoid static and moving no-fly zones, including a dynamic cylinder drifting westward and a stationary cylinder near the flight path. The mission requires precise runway-assisted takeoff and landing, with a strict 900-second time budget. A traffic UAV and a moving spherical obstacle add collision risks, requiring DAA compliance with 50-meter separation. An icing event occurs mid-mission, reducing performance for one minute. Communication experiences brief uplink/downlink losses, impacting control reliability. The UAV must complete a corridor-shaped waypoint route and return safely while managing energy and environmental constraints.","Climb to 1100 m, bypass east, descend after icing",Fly level at 600 m through the cylinder center,"Descend to 90 m, speed through below thermal layer",Accelerate at 1000 m to bypass west in strong winds,"Divert south, rejoin route after dynamic zone passes","Hold altitude, reduce speed during downlink loss","Turn north, land early at alternate runway","[""Climb to 1100 m, bypass east, descend after icing"", ""Fly level at 600 m through the cylinder center"", ""Descend to 90 m, speed through below thermal layer"", ""Accelerate at 1000 m to bypass west in strong winds"", ""Divert south, rejoin route after dynamic zone passes"", ""Hold altitude, reduce speed during downlink loss"", ""Turn north, land early at alternate runway""]","Option A maintains safe separation from the drifting cylinder while staying within the approved altitude band. It avoids wind shear near the surface and uses higher altitude for better GNSS signal, minimizing multipath. Descending post-icing conserves energy after performance recovers, aligning with endurance and safety constraints." 2025-11-01T17:52:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Satellite_Link_Relay_with_Heavy_Lift_UAV_af98cc678d23_mcq.json,uavbench-mcq-v1,Arctic_Satellite_Link_Relay_with_Heavy_Lift_UAV,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"At 14.5 m/s winds and 30–180 m AGL, with GNSS lost and a drifting no-fly zone, how should the lead UAV adjust?","Heavy lift UAV conducts a relay mission in Arctic airspace with poor visibility and active snowfall. Operating at altitudes between 30–180 m AGL, the UAV navigates a defined corridor with static and moving obstacles. Weather includes strong winds up to 14.5 m/s and icing conditions that impact aerodynamic performance. The UAV is equipped with GNSS, IMU, LiDAR, RGB and thermal cameras for navigation and situational awareness. A payload of 5 kg includes satellite communication relay equipment for data transmission. No-fly zones include a fixed cylinder near the center and a moving exclusion zone drifting southwest. GNSS jamming occurs mid-mission, with interference and comms uplink loss affecting navigation and control. Swarm operation involves three UAVs with roles split between relay and scouting, maintaining 50 m separation. Concurrent traffic and a moving spherical obstacle require real-time deconfliction using DAA thresholds. Icing and GNSS faults are triggered during flight, testing resilience under harsh polar conditions.",Descend to 25 m AGL to reduce wind exposure,Climb to 200 m AGL for clearer LiDAR returns,Hold altitude and increase speed to exit jamming zone,"Reduce speed, use IMU-LiDAR fusion, and adjust path southwest","Ascend to 180 m, rely on thermal for obstacle detection",Match wind speed to conserve energy using GNSS-IMU dead reckoning,"Turn 90° left, prioritize swarm separation over corridor","[""Descend to 25 m AGL to reduce wind exposure"", ""Climb to 200 m AGL for clearer LiDAR returns"", ""Hold altitude and increase speed to exit jamming zone"", ""Reduce speed, use IMU-LiDAR fusion, and adjust path southwest"", ""Ascend to 180 m, rely on thermal for obstacle detection"", ""Match wind speed to conserve energy using GNSS-IMU dead reckoning"", ""Turn 90° left, prioritize swarm separation over corridor""]","Reducing speed improves control in icing and wind while conserving energy. IMU-LiDAR fusion compensates for GNSS loss, ensuring navigation accuracy. Path adjustment maintains safety from the drifting no-fly zone and respects altitude, aerodynamic, and coordination constraints." 2025-11-01T17:52:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Swarm_Coordination_with_VTOL_Tiltrotor_a0a4fac7c52b_mcq.json,uavbench-mcq-v1,Arctic_Swarm_Coordination_with_VTOL_Tiltrotor,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,G,False,"During comms loss in extreme cold with 15 m/s winds, how should the scout UAV maintain geofence integrity and swarm coordination?","This is a swarm survey mission in Arctic airspace using a VTOL tiltrotor UAV. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Operations occur within a defined polygonal geofence with a minimum altitude of 20 meters and a maximum of 300 meters AGL. A static no-fly zone and a moving dynamic no-fly zone require real-time avoidance. The swarm consists of four UAVs with distinct roles: leader, follower, relay, and scout, maintaining at least 25 meters separation. Winds increase with altitude, reaching 15 m/s from 300° at 200 meters, with gusts up to 4 m/s and good visibility. Extreme cold temperatures and GNSS multipath effects challenge navigation, along with electromagnetic interference and periodic comms loss. The mission requires runway-assisted transitions between hover and forward flight, with a time budget of 600 seconds. Thermal updrafts near coordinates (850, 600) may affect flight stability. The UAV must avoid conflicts with other traffic and a moving spherical obstacle while completing its survey corridor.",Rely solely on GNSS for position updates every 2 seconds,Use encrypted heartbeat signals to verify swarm member states,Switch to pre-programmed survey pattern without cross-verification,Increase transmission power to overcome electromagnetic interference,Disable LiDAR to conserve power during thermal updraft exposure,Trust all received commands without cryptographic authentication,"Fuse inertial, LiDAR, and camera data with local consensus filtering","[""Rely solely on GNSS for position updates every 2 seconds"", ""Use encrypted heartbeat signals to verify swarm member states"", ""Switch to pre-programmed survey pattern without cross-verification"", ""Increase transmission power to overcome electromagnetic interference"", ""Disable LiDAR to conserve power during thermal updraft exposure"", ""Trust all received commands without cryptographic authentication"", ""Fuse inertial, LiDAR, and camera data with local consensus filtering""]","Option G ensures resilient state estimation during GNSS denial and comms loss by fusing onboard sensors and maintaining swarm awareness through local consensus. It mitigates spoofing and jamming risks while preserving control stability in high-wind, cold conditions. Other options either rely on compromised signals or weaken cyber-physical defenses." 2025-11-01T17:52:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Solar_Recon_Mission_aedec71f6782_mcq.json,uavbench-mcq-v1,Arctic_Solar_Recon_Mission,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,"At 200 s, icing reduces UAV performance; wind is 15.5 m/s at 300 m AGL. Which action maintains corridor, avoids NFZs, and preserves energy?","Arctic Solar Recon Mission is a search and rescue operation conducted in arctic airspace. The UAV operates within a defined corridor between 50 and 350 meters AGL, navigating a 6 km by 5 km geofenced area. Weather conditions include strong winds up to 15.5 m/s, poor visibility, snowfall, and icing risks, with wind intensity increasing with altitude. A solar-powered fixed-wing UAV equipped with radar, RGB and thermal cameras is used, carrying a 1.8 kg payload. The UAV faces GNSS signal multipath and moderate jamming at -75 dBm, along with electromagnetic interference. A static no-fly zone of 400 m radius surrounds a central hazard, while a smaller dynamic no-fly zone moves slowly across the area. A second UAV and a moving spherical obstacle require separation assurance using DAA thresholds of 50 m and 30 s TTC. The mission begins and ends at a designated runway, with a time budget of 600 seconds. An icing fault event occurs at 200 seconds, reducing performance for one minute. Battery reserve is set to 30%, and the UAV must manage energy carefully under high drag and reduced efficiency in cold, turbulent conditions.",Climb to 400 m AGL for smoother air,Descend to 40 m AGL to reduce wind impact,"Hold altitude at 350 m, reduce speed by 10%","Turn 90° right, fly parallel to hazard zone","Descend to 100 m AGL, increase speed to 25 m/s","Bank 30° toward safe sector, maintain 250 m AGL",Enter loiter pattern at current position for 60 s,"[""Climb to 400 m AGL for smoother air"", ""Descend to 40 m AGL to reduce wind impact"", ""Hold altitude at 350 m, reduce speed by 10%"", ""Turn 90° right, fly parallel to hazard zone"", ""Descend to 100 m AGL, increase speed to 25 m/s"", ""Bank 30° toward safe sector, maintain 250 m AGL"", ""Enter loiter pattern at current position for 60 s""]","Banking 30° at 250 m AGL sustains safe altitude within the 50–350 m corridor while maneuvering around dynamic obstacles. It avoids NFZ breaches and excessive drag from low-altitude flight. This balances energy use, maintains DAA separation, and adapts to icing-induced performance loss without violating time or spatial constraints." 2025-11-01T17:52:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Solar_Wing_Powerline_Inspection_in_Fog_feca4213c7b6_mcq.json,uavbench-mcq-v1,Arctic_Solar_Wing_Powerline_Inspection_in_Fog,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,"At 150 seconds, UAV must inspect waypoint W3 at 120m AGL while avoiding a drifting obstacle and impending icing above 120m.","This UAV mission is an arctic powerline inspection conducted in poor visibility due to fog and icing conditions. The flight occurs in a designated arctic airspace with a rectangular geofenced area and both static and moving no-fly zones. Winds are strong and variable, increasing with altitude and shifting direction, while thermal updrafts are present near mid-field. The UAV is a solar-powered fixed-wing aircraft equipped with RGB and thermal cameras, LiDAR, radar, and full navigation sensors. It operates under strict altitude constraints between 10 and 300 meters AGL and must avoid GNSS multipath and electromagnetic interference. A dynamic no-fly zone moves westward, and a small spherical obstacle drifts diagonally through the corridor. The UAV must follow a predefined waypoint path in a corridor pattern and land on a designated runway. Icing conditions are expected between 120 and 300 seconds into the mission, affecting performance. Communication experiences a brief downlink loss window, and separation from other traffic must be maintained. The mission emphasizes sensor data collection, fault resilience, and safe navigation in challenging arctic weather.",Climb to 180m for thermal updraft boost before descending to W3,Descend to 80m AGL and reroute east to bypass obstacle,"Hold level at 120m, delay W3 approach until obstacle clears path","Turn north to orbit until 120s mark, then proceed to W3",Increase speed to 28 m/s to reach W3 before obstacle drifts into corridor,"Descend to 90m, fly parallel under obstacle, then ascend to W3","Maintain course at 120m, adjust heading to slip between obstacle and NFZ edge","[""Climb to 180m for thermal updraft boost before descending to W3"", ""Descend to 80m AGL and reroute east to bypass obstacle"", ""Hold level at 120m, delay W3 approach until obstacle clears path"", ""Turn north to orbit until 120s mark, then proceed to W3"", ""Increase speed to 28 m/s to reach W3 before obstacle drifts into corridor"", ""Descend to 90m, fly parallel under obstacle, then ascend to W3"", ""Maintain course at 120m, adjust heading to slip between obstacle and NFZ edge""]","Option F avoids the drifting obstacle laterally and vertically while staying below 120m to preempt icing effects starting at 120 seconds. It preserves sensor line-of-sight and minimizes deviation time. Other choices either breach the imminent icing layer, extend mission duration, or risk collision or NFZ intrusion." 2025-11-01T17:52:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Solar_Wing_Thermal_Soaring_in_Sandstorm_ba4bf30844c1_mcq.json,uavbench-mcq-v1,Arctic_Solar_Wing_Thermal_Soaring_in_Sandstorm,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 210 m AGL, 18 m/s winds, and GNSS at -85 dBm, UAV detects intruder at 25 m lateral separation. What action prioritizes safety and legality?","Mission is a survey flight using a fixed-wing solar-powered UAV in Arctic airspace with poor visibility due to an active sandstorm. The UAV carries a thermal camera and RGB camera payload for data collection, relying on battery power with no fuel reserve. Strong winds up to 18 m/s increase with altitude and shift direction, requiring careful navigation and energy management. Thermal updrafts are present and can be exploited for soaring to extend range and conserve energy. GNSS signals suffer from multipath and jamming at -85 dBm, and electromagnetic interference challenges navigation accuracy. The flight must avoid a static no-fly zone near the center of the area and a moving no-fly cylinder drifting northeast. Airspace is bounded between 10 m and 300 m AGL, with a defined polygonal geofence and corridor-style waypoints guiding the survey path. A single intruder UAV is present, requiring detect-and-avoid compliance with 50 m separation and 20 s time-to-contact thresholds. Uplink communication is lost during two critical time windows, limiting remote intervention, while downlink remains functional. The mission emphasizes autonomous decision-making under degraded comms, sensor, and environmental conditions.",Continue survey; assume intruder will maneuver,Climb to 280 m to exploit thermal updrafts and save energy,Descend to 15 m AGL to avoid intruder and save battery,Execute lateral avoidance turn maintaining >50 m separation,Abort mission and exit toward no-fly zone boundary,Hold position until uplink communication is restored,Accelerate through corridor to complete high-value survey,"[""Continue survey; assume intruder will maneuver"", ""Climb to 280 m to exploit thermal updrafts and save energy"", ""Descend to 15 m AGL to avoid intruder and save battery"", ""Execute lateral avoidance turn maintaining >50 m separation"", ""Abort mission and exit toward no-fly zone boundary"", ""Hold position until uplink communication is restored"", ""Accelerate through corridor to complete high-value survey""]","The UAV must maintain 50 m separation from intruders per detect-and-avoid rules. Descending to 15 m risks terrain collision and violates minimum 10 m AGL limit. Continuing or accelerating ignores collision risk. Only lateral avoidance safely complies with airspace, safety, and mission integrity constraints." 2025-11-01T17:52:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Tower_Spiral_Inspection_with_VTOL_Tiltrotor_9255f7735828_mcq.json,uavbench-mcq-v1,Arctic_Tower_Spiral_Inspection_with_VTOL_Tiltrotor,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"With 18 m/s winds at 200 m and 45-second GNSS jamming, how should the UAV adjust ascent during spiral inspection inside 500x500 m geofence?","This is a VTOL tiltrotor UAV mission for inspecting a tower in the Arctic using a spiral flight pattern. The operation takes place within a 500x500 meter geofenced area, with a static no-fly zone around the tower base and a moving no-fly zone drifting southwest. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, powered entirely by a 1200Wh battery. Strong and increasing winds blow from the west to northwest, reaching up to 18 m/s at 200 meters altitude, with gusts and thermal updrafts near the tower. GNSS signals are degraded by multipath effects and electromagnetic interference, with a planned 45-second jamming event during the mission. The UAV must maintain separation from a dynamic obstacle and another UAV in the airspace, with DAA thresholds set at 25 meters and 15 seconds TTC. A runway-assisted takeoff and landing are required, with preferred and emergency landing sites designated. The mission is time-critical, with a 600-second budget, and includes fault events such as GNSS jamming and a lightning risk encounter. Battery reserve is set to 30%, and the UAV must avoid stalls while navigating challenging wind shear and turbulence. Despite communication dropouts and environmental hazards, the mission must achieve full tower inspection with sensor data integrity.",Climb at max speed to reduce wind exposure time,Delay ascent until after GNSS jamming event,Reduce spiral radius to conserve battery in high wind,Sync spiral rate with other UAV’s scan timing,Descend to lower altitude during jamming window,Increase bank angle to tighten turn near tower,Halt ascent and hover during lightning encounter,"[""Climb at max speed to reduce wind exposure time"", ""Delay ascent until after GNSS jamming event"", ""Reduce spiral radius to conserve battery in high wind"", ""Sync spiral rate with other UAV’s scan timing"", ""Descend to lower altitude during jamming window"", ""Increase bank angle to tighten turn near tower"", ""Halt ascent and hover during lightning encounter""]","Coordinating spiral rate with the other UAV ensures complementary coverage and avoids simultaneous operation in shared airspace, maintaining 25 m separation. It optimizes time-critical inspection under communication dropouts by aligning task timing without relying on real-time GNSS. This sustains data integrity and collective mission efficiency while respecting DAA thresholds." 2025-11-01T17:52:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Swarm_Drone_Emergency_Landing_Due_to_Low_Battery_in_Poor_Visibility_df56fa976818_mcq.json,uavbench-mcq-v1,Arctic_Swarm_Drone_Emergency_Landing_Due_to_Low_Battery_in_Poor_Visibility,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"During a 1-minute icing event at 80m AGL, how should the swarm redistribute tasks to maintain search coverage and battery safety under 12 m/s winds?","Swarm drones conduct an Arctic search and rescue mission in poor visibility with snowfall and icing conditions. The operation takes place within a defined polygonal airspace bounded from 10 to 120 meters AGL. Strong winds up to 12 m/s increase with altitude and shift direction, posing flight challenges. The UAVs are battery-powered octocopters equipped with thermal cameras, LiDAR, radar, and full navigation sensors. Payload includes thermal imaging for detecting survivors in harsh winter conditions. A dynamic no-fly zone moves westward, requiring real-time avoidance by the swarm. Fixed NFZs and geofencing restrict flight paths, with strict separation maintained between UAVs. GNSS signals suffer from multipath and moderate jamming, complicating positioning near terrain. Mid-mission icing event reduces aerodynamic efficiency for one minute, increasing power demand. Low battery and communication dropouts force an emergency landing at a designated alternate site.",All drones descend to 50m to reduce wind exposure and conserve power,Iced drone exits immediately; neighbor drones expand search sectors,Neighboring drones reduce speed to match iced drone's power-limited output,Drones increase formation spacing to 80m to prevent collision in low visibility,Iced drone hovers at 80m; others complete its sector while maintaining 60m separation,All drones suspend search and ascend to 120m for clearer GNSS signal,Drones switch to radar-only mode to lower processing load and save energy,"[""All drones descend to 50m to reduce wind exposure and conserve power"", ""Iced drone exits immediately; neighbor drones expand search sectors"", ""Neighboring drones reduce speed to match iced drone's power-limited output"", ""Drones increase formation spacing to 80m to prevent collision in low visibility"", ""Iced drone hovers at 80m; others complete its sector while maintaining 60m separation"", ""All drones suspend search and ascend to 120m for clearer GNSS signal"", ""Drones switch to radar-only mode to lower processing load and save energy""]","The iced drone cannot safely maneuver; keeping it stable at 80m avoids uncontrolled descent. Neighbors cooperatively cover its sector while maintaining minimum 60m separation, preserving swarm geometry and search continuity. This balances energy strain, communication coherence, and mission coverage under dynamic constraints." 2025-11-01T17:52:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_VTOL_Mapping_Mission_74d681629c09_mcq.json,uavbench-mcq-v1,Arctic_VTOL_Mapping_Mission,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 60m altitude in rain and icing, with GNSS outages and a moving obstacle, how should the UAV adjust its grid pattern for safety and data integrity?","This is a VTOL tiltrotor UAV mapping mission in Arctic airspace with poor visibility, rain, and icing conditions. The UAV operates within a defined polygonal geofence at altitudes between 30 and 200 meters AGL. Strong winds increase with altitude, shifting direction from west to northwest, and gusts add turbulence. The UAV carries an RGB and thermal camera payload, along with LiDAR, for data collection. Key constraints include a static no-fly zone near the center and a moving no-fly zone drifting northeast. A dynamic moving obstacle and another UAV traffic moving westbound require real-time separation management. GNSS signals suffer from multipath, jamming, and intermittent outages, challenging navigation. The mission involves a rectangular grid pattern at 60 meters altitude, requiring a runway for landing. An icing fault event occurs mid-mission, reducing performance, and communication dropouts are expected at two intervals.",Ascend to 200m for clearer GNSS and wind stability,Descend to 30m to avoid turbulence and save power,"Maintain 60m, reduce speed, and use dead reckoning",Skip grid cells near moving obstacle to save energy,Accelerate to complete grid before communication dropout,Abort mission and return immediately to runway,Shift grid east to avoid static no-fly zone expansion,"[""Ascend to 200m for clearer GNSS and wind stability"", ""Descend to 30m to avoid turbulence and save power"", ""Maintain 60m, reduce speed, and use dead reckoning"", ""Skip grid cells near moving obstacle to save energy"", ""Accelerate to complete grid before communication dropout"", ""Abort mission and return immediately to runway"", ""Shift grid east to avoid static no-fly zone expansion""]",Maintaining 60m ensures compliance with mapping resolution and geofence limits while avoiding higher wind shear. Reducing speed conserves energy during icing-induced performance loss and allows safer maneuvering under GNSS outages. Dead reckoning with sensor fusion preserves navigation accuracy without compromising safety or data continuity. 2025-11-01T17:52:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_VTOL_Lost_Link_RTL_Scenario_48039b0ade56_mcq.json,uavbench-mcq-v1,Arctic_VTOL_Lost_Link_RTL_Scenario,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,F,False,"At 280 seconds, lost-link triggers RTL while 1200m from launch, wind shifts, and a UAV approaches head-on at 800m distance. What is the correct action?","This scenario involves a VTOL tiltrotor UAV conducting a grid survey mission in Arctic airspace. The UAV operates within a defined airspace bounded by geofences and must avoid a static no-fly zone at the center and a moving no-fly zone drifting southwest. The environment features poor visibility due to fog and icing conditions, with moderate winds increasing with altitude and shifting direction. The UAV is equipped with a battery-powered propulsion system and carries an RGB and thermal camera payload for data collection. GNSS signals are degraded due to multipath effects and electromagnetic interference, and a temporary lost-link fault occurs at 280 seconds, triggering return-to-launch (RTL) procedures. The mission must contend with wind gusts, icing affecting aerodynamics, and limited sensor reliability. Traffic includes one opposing UAV, and a moving spherical obstacle traverses the area. Emergency landing sites are available at corners, but runway use is required for normal operations. Constraints include strict separation requirements, battery reserve limits, and maintaining altitude within AGL bounds. The success of the mission depends on fault resilience, energy management, and navigation accuracy under adverse Arctic conditions.","Continue RTL immediately, ignoring opposing UAV","Climb rapidly to avoid collision, risking icing buildup","Divert east to emergency landing site, burning 35% battery","Hold position until GNSS reacquires, delaying RTL","Descend to 50m AGL to improve signal, near no-fly zone","Turn 30° south to deconflict, then resume RTL path","Proceed straight RTL, assuming opposing UAV yields right-of-way","[""Continue RTL immediately, ignoring opposing UAV"", ""Climb rapidly to avoid collision, risking icing buildup"", ""Divert east to emergency landing site, burning 35% battery"", ""Hold position until GNSS reacquires, delaying RTL"", ""Descend to 50m AGL to improve signal, near no-fly zone"", ""Turn 30° south to deconflict, then resume RTL path"", ""Proceed straight RTL, assuming opposing UAV yields right-of-way""]","Head-on UAV encounter creates immediate collision risk; deconfliction takes priority over mission continuity. F balances safety, separation, and energy use without violating airspace or assuming others' actions. Other options risk collision, exceed AGL limits, or waste battery in degraded conditions." 2025-11-01T17:52:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Bridge_Inspection_in_Sandstorm_e40daac90e34_mcq.json,uavbench-mcq-v1,BVLOS_Bridge_Inspection_in_Sandstorm,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 30 m altitude, 12 m/s winds and 30% battery remain. Sandstorm reduces visibility. How should the UAV respond to GNSS jamming?","This is a BVLOS bridge inspection mission using an octocopter UAV equipped with RGB and thermal cameras, LiDAR, radar, and full navigation sensors. The operation takes place near a bridge in a designated airspace with a static no-fly zone over critical infrastructure and a moving no-fly zone due to dynamic obstacles. A sandstorm reduces visibility, and strong winds at 12 m/s with gusts up to 6.5 m/s create challenging flight conditions. The UAV must follow a corridor inspection pattern at 30 meters altitude, avoiding obstacles and maintaining separation from other air traffic. A second UAV transits through the area, and a moving spherical obstacle drifts westward at 1 m/s. GNSS signal jamming occurs for 30 seconds midway through the mission, and communication dropouts are expected at specific intervals. The flight must remain within a defined polygonal geofence and avoid both static and dynamic no-fly zones to ensure safety. Battery capacity limits flight time, with 30% reserved for contingencies, and mission success depends on completing waypoints within the time budget. Altitude is constrained between 5 and 120 meters AGL, with emergency and preferred landing sites located at opposite corners of the zone. Sensor performance and navigation accuracy may be affected by environmental interference and GNSS multipath near the bridge structure.",Climb to 120 m for better signal reception,Descend to 5 m to reduce wind exposure,Hold position using optical flow and LiDAR,Return immediately to launch site,Accelerate through jamming zone to save power,Circle at reduced speed using radar navigation,Switch to dead reckoning with IMU only,"[""Climb to 120 m for better signal reception"", ""Descend to 5 m to reduce wind exposure"", ""Hold position using optical flow and LiDAR"", ""Return immediately to launch site"", ""Accelerate through jamming zone to save power"", ""Circle at reduced speed using radar navigation"", ""Switch to dead reckoning with IMU only""]","Holding position with optical flow and LiDAR maintains safety within geofence and avoids dynamic obstacles while conserving energy. It sustains navigation accuracy without GNSS, leveraging sensor fusion near the bridge despite sandstorm. Other options risk instability, collision, or excessive power use under wind and visibility constraints." 2025-11-01T17:52:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Satellite_Relay_Mission_with_Convertiplane_2586afa4ddf6_mcq.json,uavbench-mcq-v1,Arctic_Satellite_Relay_Mission_with_Convertiplane,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"During transition at 60 m altitude in 15 m/s westerly wind, what minimizes risk of stall and control loss with 2 kg payload and icing?","This is a satellite link relay mission conducted in Arctic airspace using a convertiplane UAV. The UAV is equipped with a battery-powered propulsion system and carries a 2 kg payload with RGB and thermal cameras, LiDAR, and standard navigation sensors. Operations take place within a defined polygonal airspace with a geofence, featuring a static no-fly zone and a moving no-fly cylinder. The mission requires runway-assisted takeoff and landing, with a designated runway and preferred landing site. Strong westerly winds increase with altitude, and wind shear must be managed during flight. Weather conditions include snowfall, poor visibility, icing risks, and potential GNSS multipath and electromagnetic interference. A swarm of three UAVs operates cooperatively with minimum inter-UAV separation of 50 meters. The flight profile includes transitions between hover and forward flight, navigating around obstacles and traffic while maintaining communication links. An icing fault event occurs mid-mission, affecting aerodynamics and requiring robust control. The UAV must complete its waypoint corridor while managing battery reserves, avoiding airspace violations, and maintaining safe separation from dynamic obstacles and other traffic.",Increase pitch to 12° to maximize lift,Reduce airspeed to 18 m/s to conserve battery,Maintain 22 m/s and 8° angle of attack,Descend immediately to reduce wind shear exposure,Bank 30° toward the wind to avoid drift,Accelerate to 28 m/s with zero pitch adjustment,Hover at current altitude until wind stabilizes,"[""Increase pitch to 12° to maximize lift"", ""Reduce airspeed to 18 m/s to conserve battery"", ""Maintain 22 m/s and 8° angle of attack"", ""Descend immediately to reduce wind shear exposure"", ""Bank 30° toward the wind to avoid drift"", ""Accelerate to 28 m/s with zero pitch adjustment"", ""Hover at current altitude until wind stabilizes""]","Maintaining 22 m/s and 8° angle of attack ensures sufficient Reynolds number for boundary layer attachment despite ice contamination, balancing lift and drag. Higher angles increase stall risk under icing, while lower speeds reduce control authority in wind shear. This setting sustains lift coefficient within safe margin and supports transition aerodynamics." 2025-11-01T17:52:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_VTOL_Heavy_Lift_Transition_Test_718ab755db43_mcq.json,uavbench-mcq-v1,Arctic_VTOL_Heavy_Lift_Transition_Test,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,How should the UAV adapt after a one-minute icing fault at 200m with 10kg payload and 15m/s winds?,"This is a heavy lift VTOL UAV delivery mission in Arctic airspace with severe weather including snowfall and icing conditions. The UAV operates within a 400-meter AGL ceiling and navigates around static and moving no-fly zones. Strong and variable winds increase from 8 m/s at ground to 15 m/s at 200 meters, shifting direction with altitude. The UAV transitions between vertical and fixed-wing flight, facing GNSS multipath, jamming, and electromagnetic interference. Equipped with RGB and thermal cameras, LiDAR, and full sensor suite, it carries a 10 kg payload. A dynamic obstacle and another UAV in the airspace require separation monitoring with 50-meter minimum distance. An icing fault occurs mid-mission, reducing performance for one minute. Communication suffers two downlink loss windows, challenging telemetry and control. The mission must complete within 600 seconds, using a runway for landing, while avoiding geofence and altitude violations.","Increase motor speed to maintain lift, ignoring power reserve",Shed payload immediately to reduce energy demand,"Descend to 100m, reduce speed, and enter low-power sensor mode",Switch to full thermal imaging to detect ice accumulation,Climb to 400m for smoother airflow despite higher wind,Hold position at 200m until de-icing completes,Accelerate to destination using fixed-wing mode at max thrust,"[""Increase motor speed to maintain lift, ignoring power reserve"", ""Shed payload immediately to reduce energy demand"", ""Descend to 100m, reduce speed, and enter low-power sensor mode"", ""Switch to full thermal imaging to detect ice accumulation"", ""Climb to 400m for smoother airflow despite higher wind"", ""Hold position at 200m until de-icing completes"", ""Accelerate to destination using fixed-wing mode at max thrust""]","Descending reduces wind exposure and power needs, while lowering sensor power conserves energy. This balances mission time, thermal management, and battery use, ensuring return or completion within 600s. Other options overdraw power, extend exposure, or risk geofence violations." 2025-11-01T17:52:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_VTOL_Tiltrotor_Ship_Deck_Delivery_7c801adbe84a_mcq.json,uavbench-mcq-v1,Arctic_VTOL_Tiltrotor_Ship_Deck_Delivery,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During Arctic VTOL flight at 14 m/s winds and GNSS degradation, how should the UAV respond to an icing fault with 30% battery reserve?","This is a delivery mission using a VTOL tiltrotor UAV in Arctic airspace near a ship deck. The UAV operates within a defined polygonal airspace from 10 to 120 meters AGL, with a geofence and two no-fly zones—one static and one moving. Weather includes strong winds up to 14 m/s increasing with altitude, gusts, and icing conditions. The UAV carries a 2 kg payload with RGB camera and LiDAR sensors, relying on battery power with a 30% reserve requirement. GNSS signals are degraded due to multipath and electromagnetic interference, with brief communication outages scheduled. The mission involves transitioning from hover to fixed-wing flight and back, requiring use of a runway for landing. A dynamic obstacle and another UAV introduce traffic separation challenges, with a minimum separation threshold of 25 meters. An icing fault event occurs mid-mission, reducing performance for one minute. The route follows a corridor pattern through three waypoints, with a time budget of 600 seconds and strict adherence to altitude and geofence constraints.",Switch to encrypted LOS guidance with inertial-altimeter fusion,Increase rotor RPM using unverified sensor commands,Rely solely on degraded GNSS for position updates,Transmit unencrypted telemetry to ship for faster decisions,Disable LiDAR to save power despite obstacle risks,Accept all waypoint shifts from unauthenticated UAV traffic,Abort mission and free-fall to conserve battery,"[""Switch to encrypted LOS guidance with inertial-altimeter fusion"", ""Increase rotor RPM using unverified sensor commands"", ""Rely solely on degraded GNSS for position updates"", ""Transmit unencrypted telemetry to ship for faster decisions"", ""Disable LiDAR to save power despite obstacle risks"", ""Accept all waypoint shifts from unauthenticated UAV traffic"", ""Abort mission and free-fall to conserve battery""]","A maintains control stability via sensor fusion and secure communication, mitigating GNSS degradation and cyber threats. It preserves data integrity and availability under icing and interference. Other options compromise security, safety, or situational awareness." 2025-11-01T17:52:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Convertiplane_Urban_Canyon_Test_with_Icing_215e1e0f9e7c_mcq.json,uavbench-mcq-v1,BVLOS_Convertiplane_Urban_Canyon_Test_with_Icing,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"A BVLOS convertiplane operates at 150m AGL in urban canyons with icing, GNSS jamming, and a moving obstacle; what action ensures safe, coordinated navigation?","This is a BVLOS survey mission using a convertiplane UAV in an urban canyon environment. The airspace is constrained between 10 and 150 meters AGL with a defined polygonal geofence and multiple no-fly zones, including a dynamic moving exclusion zone. Weather includes steady winds increasing with altitude, gusts, poor visibility, and icing conditions that trigger a simulated fault. The UAV is equipped with standard sensors including GNSS, IMU, lidar, and RGB camera, but faces GNSS multipath, moderate jamming, and electromagnetic interference. The mission involves flying a corridor pattern through four waypoints with a required runway takeoff and landing. A traffic UAV and a moving spherical obstacle add complexity to navigation and separation requirements. The convertiplane must manage energy carefully, with battery performance affected by hover, forward flight drag, and manoeuvring. Icing reduces aerodynamic efficiency temporarily, impacting lift and control. Communication experiences brief dropouts, and the system must maintain safe separation from obstacles and other traffic throughout the flight.",Descend to 10m AGL to avoid wind gusts and jamming,Maintain 150m AGL for optimal sensor coverage and separation,Hover indefinitely until the moving exclusion zone passes,Switch to RGB-only mode to conserve power and reduce EMI,"Fly direct between waypoints, ignoring corridor pattern for speed",Increase speed to reduce exposure to icing conditions,Rely solely on IMU during GNSS dropout for trajectory continuity,"[""Descend to 10m AGL to avoid wind gusts and jamming"", ""Maintain 150m AGL for optimal sensor coverage and separation"", ""Hover indefinitely until the moving exclusion zone passes"", ""Switch to RGB-only mode to conserve power and reduce EMI"", ""Fly direct between waypoints, ignoring corridor pattern for speed"", ""Increase speed to reduce exposure to icing conditions"", ""Rely solely on IMU during GNSS dropout for trajectory continuity""]","Maintaining 150m AGL respects the upper airspace boundary while maximizing separation from urban obstacles and the traffic UAV. It enables lidar and GNSS to function within degraded performance envelopes, supporting coordination with dynamic obstacles and communication dropouts. Other options violate altitude constraints, increase risk, or disrupt sensor fusion needed for safe BVLOS operations." 2025-11-01T17:52:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Offshore_Glider_Inspection_1f1b42b593c3_mcq.json,uavbench-mcq-v1,Arctic_Offshore_Glider_Inspection,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 250 m AGL with 13.5 m/s headwind, how should airspeed and angle of attack be adjusted to maintain lift and stay within 50–300 m AGL?","This is an Arctic offshore inspection mission using a fixed-wing glider UAV equipped with radar, RGB, and thermal cameras. The operation takes place in a designated airspace with a maximum altitude of 300 m AGL and a minimum of 50 m AGL, bounded by a polygonal geofence. Weather conditions include strong winds up to 13.5 m/s increasing with altitude, poor visibility, and sandstorm conditions causing significant environmental challenges. The UAV relies on battery power with a 30% reserve requirement and has aerodynamic properties suited for efficient gliding but is vulnerable to gusts and turbulence. Navigation is complicated by GNSS multipath effects, signal jamming at -85 dBm, and electromagnetic interference, reducing positioning accuracy. There are two no-fly zones: one static cylinder near the center and a dynamic one moving diagonally across the area, requiring real-time avoidance. A second UAV and a moving spherical obstacle traverse the airspace, necessitating separation management with a 50-meter threshold. Communication experiences brief uplink/downlink outages between 120–135 and 400–410 seconds, limiting remote control during those periods. The mission requires runway-aligned takeoff and landing, with preferred and emergency landing sites designated, and must be completed within 600 seconds along a predefined corridor of waypoints.",Increase airspeed and decrease angle of attack to reduce induced drag,Decrease airspeed and increase angle of attack to maximize lift,Maintain airspeed and reduce angle of attack to avoid flow separation,Increase angle of attack beyond critical to exploit wind gradient lift,Reduce airspeed below stall threshold to extend glide range,Trim for higher lift coefficient with no airspeed change in turbulence,Decrease airspeed and pitch down to minimize gust loading,"[""Increase airspeed and decrease angle of attack to reduce induced drag"", ""Decrease airspeed and increase angle of attack to maximize lift"", ""Maintain airspeed and reduce angle of attack to avoid flow separation"", ""Increase angle of attack beyond critical to exploit wind gradient lift"", ""Reduce airspeed below stall threshold to extend glide range"", ""Trim for higher lift coefficient with no airspeed change in turbulence"", ""Decrease airspeed and pitch down to minimize gust loading""]","Increasing airspeed compensates for turbulence and maintains Reynolds number for attached flow, while reducing angle of attack lowers induced drag and avoids stall in gusty, low-density conditions. This balances lift, drag, and control authority within safe flight envelope limits." 2025-11-01T17:52:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Fixed-Wing_Survey_in_Wind_Farm_with_Thermal_Updrafts_db1aa096e39d_mcq.json,uavbench-mcq-v1,BVLOS_Fixed-Wing_Survey_in_Wind_Farm_with_Thermal_Updrafts,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"At 280m AGL with 8.5 m/s wind from 240°, which action ensures separation from a moving spherical obstacle while maintaining thermal lift use?","This is a BVLOS fixed-wing UAV survey mission conducted within a wind farm environment. The airspace is bounded between 60 and 300 meters AGL, with a defined polygonal geofence and a cylindrical no-fly zone around a central turbine. The UAV is equipped with RGB and thermal imaging payloads, relying on battery power with a 30% reserve requirement. Weather conditions include a steady 8.5 m/s wind from 240°, gusts up to 4 m/s, and the presence of thermal updrafts near turbine locations. Two strong thermal plumes create localized lift zones, which may affect flight dynamics and energy efficiency. The UAV must navigate GNSS signal multipath and electromagnetic interference, with occasional comms loss periods affecting uplink and downlink. Separation from other UAV traffic and a moving spherical obstacle must be maintained, with a minimum separation threshold of 50 meters. The mission requires use of a designated runway for takeoff and landing, with return-to-base planned at the end. Flight duration is constrained to 600 seconds, and the route follows a corridor pattern over key waypoints while avoiding restricted zones.",Descend to 55m AGL to avoid turbulence near turbines,Climb to 310m AGL for stronger thermal updrafts,Maintain 280m AGL and adjust heading by 15° into wind,Turn 30° downwind to exploit thermal plumes faster,Reduce speed to 12 m/s to minimize energy consumption,Execute immediate descent below 60m AGL for comms stability,"Pitch up to gain altitude using thermal lift, ignoring wind drift","[""Descend to 55m AGL to avoid turbulence near turbines"", ""Climb to 310m AGL for stronger thermal updrafts"", ""Maintain 280m AGL and adjust heading by 15° into wind"", ""Turn 30° downwind to exploit thermal plumes faster"", ""Reduce speed to 12 m/s to minimize energy consumption"", ""Execute immediate descent below 60m AGL for comms stability"", ""Pitch up to gain altitude using thermal lift, ignoring wind drift""]","Maintaining 280m AGL respects the 60–300m AGL airspace limits and avoids conflict with the no-fly cylinder. Adjusting heading into wind compensates for drift toward the moving obstacle, preserving 50m separation. This balances energy efficiency from controlled thermal use while ensuring safe, predictable flight dynamics under gusts and interference." 2025-11-01T17:52:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Convertiplane_Suburban_Test_with_Gusts_2cdfc6086e87_mcq.json,uavbench-mcq-v1,BVLOS_Convertiplane_Suburban_Test_with_Gusts,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,Which system ensures reliable BVLOS navigation at 120m AGL with 12 m/s winds and GNSS jamming at -75 dBm?,"This scenario involves a BVLOS delivery mission using a convertiplane UAV in suburban airspace. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors, carrying a 1.2 kg payload. Flight occurs between 10 and 120 meters AGL within a defined polygonal geofence, avoiding static and moving no-fly zones. The mission includes a corridor pattern with four waypoints and requires a runway takeoff and landing. Strong winds of 8 m/s from the west increase to 12 m/s at altitude, with gusts up to 4.5 m/s, creating challenging flight conditions. GNSS multipath effects and electromagnetic interference are present, along with localized signal jamming at -75 dBm. A dynamic no-fly zone and a moving spherical obstacle add complexity, requiring real-time avoidance. Air traffic includes one conflicting UAV on a diagonal path. Communication links experience brief outages between 120–130 and 450–460 seconds, testing resilience. Thermal updrafts near the waypoint at (800, 600) may assist lift but require control adjustments.",Pure GNSS-guided autopilot,Vision-inertial odometry,Lidar-SLAM with wind estimation,Barometer-only altitude hold,Magnetometer-based heading,RF triangulation fallback,GPS/INS with adaptive filtering,"[""Pure GNSS-guided autopilot"", ""Vision-inertial odometry"", ""Lidar-SLAM with wind estimation"", ""Barometer-only altitude hold"", ""Magnetometer-based heading"", ""RF triangulation fallback"", ""GPS/INS with adaptive filtering""]","Lidar-SLAM provides accurate localization despite GNSS jamming and multipath, while wind estimation compensates for strong gusts. It outperforms GNSS-dependent and single-sensor systems in reliability and environmental adaptability. Other options fail in signal denial, lack redundancy, or offer insufficient state estimation under dynamic conditions." 2025-11-01T17:52:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Forest_Glider_Test_in_Low_Visibility_f6073f7b9b80_mcq.json,uavbench-mcq-v1,BVLOS_Forest_Glider_Test_in_Low_Visibility,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"BVLOS glider in forest survey with icing, GNSS jamming, and 30% visibility; winds shift direction with altitude. How to ensure reliable navigation and obstacle avoidance?","This is a BVLOS glider mission conducting a forest survey under poor visibility and icing conditions. The flight occurs in a forested airspace with a defined geofence and both static and moving no-fly zones. Winds are moderate to strong, increasing with altitude and shifting direction, while thermal updrafts are present. The UAV is a battery-powered glider equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors. Payload includes imaging systems with minimal drag. GNSS multipath and signal jamming are present, challenging navigation. The mission requires flying a corridor pattern within strict altitude bounds while avoiding obstacles and other UAV traffic. A dynamic no-fly zone and a moving obstacle add complexity to path planning. Icing conditions are expected during the flight, potentially affecting aerodynamics. Communication experiences brief dropouts, requiring resilient control and data handling.","Prioritize GNSS for position, reset IMU drift hourly",Use lidar-only navigation to avoid GNSS jamming,Fuse IMU and visual odometry during GNSS dropouts,Rely on static wind model for path prediction,Disable thermal updraft utilization to save power,Switch to RGB camera only when visibility drops below 20%,Trust magnetic heading despite forest multipath,"[""Prioritize GNSS for position, reset IMU drift hourly"", ""Use lidar-only navigation to avoid GNSS jamming"", ""Fuse IMU and visual odometry during GNSS dropouts"", ""Rely on static wind model for path prediction"", ""Disable thermal updraft utilization to save power"", ""Switch to RGB camera only when visibility drops below 20%"", ""Trust magnetic heading despite forest multipath""]","GNSS jamming and multipath degrade position reliability, requiring resilient fusion during dropouts. Visual odometry and IMU together provide high-frequency state estimates while compensating for each other's drift and occlusion. This fusion maintains navigation integrity in dynamic, signal-denied environments with moving obstacles and shifting winds." 2025-11-01T17:52:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Fixed-Wing_Suburban_Survey_in_Hot_Conditions_c70874a7a7f7_mcq.json,uavbench-mcq-v1,BVLOS_Fixed-Wing_Suburban_Survey_in_Hot_Conditions,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"Given 8.5 m/s winds from 210°, a 50m separation requirement, and a 210° runway, what action ensures safe approach while maintaining control and comms?","This is a BVLOS fixed-wing UAV mission conducting a corridor survey in suburban airspace. The UAV operates between 30 and 120 meters AGL within a defined polygonal geofence. A no-fly zone cylinder is present near the center of the area, requiring careful path planning. The fixed-wing UAV carries an RGB camera payload and relies on GNSS, IMU, magnetometer, and barometer for navigation. Weather conditions include moderate winds from 210 degrees at 8.5 m/s with gusts up to 4.0 m/s and good visibility. The UAV must maintain separation of at least 50 meters from other traffic, monitored via DAA systems. There is another UAV moving through the airspace on a steady course, along with a moving spherical obstacle. Uplink and downlink communications are mostly stable but experience brief loss windows. The mission requires use of a runway aligned at 210 degrees for takeoff and landing. Battery endurance and adherence to altitude and geofence constraints are critical for mission success.",Increase speed by 30% to counteract wind drift,Descend to 25m AGL to minimize wind exposure,Circle downwind at 60m AGL to delay landing,Align approach perpendicular to runway to reduce crosswind,Land immediately despite signal degradation,Delay approach until UAV traffic clears 50m radius,Climb to 130m AGL for better comms and clearance,"[""Increase speed by 30% to counteract wind drift"", ""Descend to 25m AGL to minimize wind exposure"", ""Circle downwind at 60m AGL to delay landing"", ""Align approach perpendicular to runway to reduce crosswind"", ""Land immediately despite signal degradation"", ""Delay approach until UAV traffic clears 50m radius"", ""Climb to 130m AGL for better comms and clearance""]","Landing requires alignment with the 210° runway and stable control amid 8.5 m/s winds. Attempting landing during traffic proximity or comms loss risks collision or loss of control. Delaying until separation is achieved balances safety, navigation accuracy, and communication integrity while staying within altitude and energy limits." 2025-11-01T17:52:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Fixed-Wing_Urban_Canyon_Test_with_Icing_6f739b7b0d78_mcq.json,uavbench-mcq-v1,BVLOS_Fixed-Wing_Urban_Canyon_Test_with_Icing,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"UAV must inspect 4 waypoints in 10 mins amid 15 m/s winds, icing, and GNSS degradation; NFZ radius 100m. Optimal entry?","This is a BVLOS fixed-wing UAV inspection mission in an urban canyon environment. The airspace features tall buildings creating confined flight corridors and a cylindrical no-fly zone near the center. Weather includes strong winds up to 15 m/s increasing with altitude, poor visibility, and icing conditions that temporarily degrade performance. The UAV is a battery-powered fixed-wing with RGB camera and LiDAR payload for navigation and inspection tasks. It must maintain strict separation from other air traffic, with a 50-meter threshold and 30-second time-to-closest-approach limit. GNSS signals are degraded due to multipath effects and moderate jamming, requiring robust navigation solutions. The mission must be completed within 10 minutes, following a corridor pattern between four waypoints at varying altitudes. The UAV spawns near the runway threshold and must return for a runway landing, with one emergency landing site available. Icing affects aerodynamics midway through the mission, increasing drag and reducing lift. Communication dropouts occur briefly at two intervals, challenging command and control links.","Direct climb to 120m AGL, circle NFZ west","Fly east at 60m AGL, ascend after NFZ","Descend to 40m AGL, hug buildings north","Climb rapidly to 150m AGL, overfly NFZ",Delay takeoff until wind gusts subside,Cut through NFZ at 80m AGL to save time,"Follow corridor south at 70m AGL, gradual climb","[""Direct climb to 120m AGL, circle NFZ west"", ""Fly east at 60m AGL, ascend after NFZ"", ""Descend to 40m AGL, hug buildings north"", ""Climb rapidly to 150m AGL, overfly NFZ"", ""Delay takeoff until wind gusts subside"", ""Cut through NFZ at 80m AGL to save time"", ""Follow corridor south at 70m AGL, gradual climb""]","G maintains safe separation from NFZ and buildings while optimizing climb rate within wind and icing constraints. It follows the designated corridor, avoids GNSS-denied zones, and ensures timely waypoint sequencing. Other options violate NFZ, increase exposure to turbulence, or waste time and energy." 2025-11-01T17:52:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Forest_Test_with_Dust_Conditions_8c8757d2d68f_mcq.json,uavbench-mcq-v1,BVLOS_Forest_Test_with_Dust_Conditions,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"With 450 Wh battery, 30% reserve, and 600 s time, which action maximizes survey coverage while avoiding no-fly zones and traffic?","This is a BVLOS forest survey mission using a quadrotor UAV equipped with RGB camera, LiDAR, and standard navigation sensors. The flight occurs in a defined rectangular airspace with dense forest terrain and poor visibility due to dust. Winds are moderate at 6 m/s from 240° with gusts up to 3.5 m/s, impacting visibility and flight stability. The UAV has a battery capacity of 450 Wh and must maintain a 30% reserve while operating within altitude limits of 10–120 m AGL. A static no-fly zone (cylinder, 30 m radius) and a moving no-fly zone (drifting at 2 m/s) must be avoided throughout the mission. The UAV follows a grid survey pattern across five waypoints within a 600-second time budget, starting near the edge of the mapped area. Another UAV enters the airspace from the southeast at 12 m/s, requiring separation monitoring with a 25 m minimum distance and 20 s time-to-close threshold. Communication experiences two brief downlink loss windows, and signal strength must stay above -85 dBm. Dust and tree cover may cause GNSS signal degradation or multipath, increasing navigation risk during low-altitude operations.",Increase speed to cover grid faster,Descend to 10 m AGL for better resolution,Disable LiDAR to save power,Extend flight path for full waypoint coverage,Climb to 120 m to improve signal,Hover 30 s at each waypoint,Reduce speed and prioritize downlink-critical data,"[""Increase speed to cover grid faster"", ""Descend to 10 m AGL for better resolution"", ""Disable LiDAR to save power"", ""Extend flight path for full waypoint coverage"", ""Climb to 120 m to improve signal"", ""Hover 30 s at each waypoint"", ""Reduce speed and prioritize downlink-critical data""]","Reducing speed lowers power demand in wind, improving energy efficiency. Prioritizing downlink-critical data ensures essential data transfer within -85 dBm and brief loss windows. This balances endurance, communication, and mission completeness without violating reserve or time constraints." 2025-11-01T17:52:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Glider_Forest_Test_with_Hail_ae81d09c1937_mcq.json,uavbench-mcq-v1,BVLOS_Glider_Forest_Test_with_Hail,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 410s, icing reduces performance amid comms loss and 8.5 m/s winds. Hail continues. What is the safest course?","This is a BVLOS glider mission conducting a forest survey in poor visibility with active hail. The UAV is a battery-powered glider equipped with RGB camera payload and standard sensors including GNSS, IMU, and barometer. It operates within a predefined airspace from 30 to 150 meters AGL, bounded by a polygon geofence. A static no-fly zone blocks the center of the area, while a smaller dynamic no-fly zone moves through the environment. The mission faces strong winds from 240 degrees at 8.5 m/s with gusts up to 4.2 m/s, increasing flight difficulty. An icing event occurs mid-mission, reducing performance for one minute. A second UAV and a moving spherical obstacle introduce collision risks, requiring DAA compliance with 25-meter separation and 15-second TTC thresholds. GNSS multipath effects are likely due to forested terrain, and a brief comms downlink loss occurs between 400–420 seconds. The glider must complete a grid survey of five waypoints within 600 seconds while managing energy and avoiding constraints.",Continue mission using last known waypoints,Climb to 180 m AGL for better GNSS signal,Abort mission and return to home immediately,Descend below 30 m to avoid wind gusts,Enter dynamic no-fly zone to cut survey short,Circle current position until comms restore,Proceed toward nearest populated zone for visual contact,"[""Continue mission using last known waypoints"", ""Climb to 180 m AGL for better GNSS signal"", ""Abort mission and return to home immediately"", ""Descend below 30 m to avoid wind gusts"", ""Enter dynamic no-fly zone to cut survey short"", ""Circle current position until comms restore"", ""Proceed toward nearest populated zone for visual contact""]","Continuing flight during icing, comms loss, and BVLOS reduces controllability and situational awareness, increasing collision or crash risk. Safety-of-life overrides mission objectives; returning home minimizes uncontrolled failure near people or property. Other options violate altitude bounds, no-fly zones, or increase risk exposure." 2025-11-01T17:52:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Heavy_Lift_Mountain_Mission_d6fcb0d7e727_mcq.json,uavbench-mcq-v1,BVLOS_Heavy_Lift_Mountain_Mission,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 350 m AGL, 15 m/s headwind shifts to 10 m/s tailwind. How should pitch and power be adjusted for energy management?","This is a BVLOS heavy lift delivery mission in mountainous terrain. The UAV operates within a defined airspace corridor from 50 to 400 meters AGL, bounded by a polygonal geofence. Strong winds up to 15 m/s increase with altitude and shift direction, with gusts and microburst risk adding complexity. The environment includes thermal updrafts, GNSS multipath, moderate jamming, and electromagnetic interference. The UAV is a battery-powered octocopter with a 10 kg payload, equipped with GNSS, IMU, lidar, and visual sensors. It must avoid a static no-fly zone near the start and a moving obstacle with dynamic velocity. A second UAV and a drifting spherical obstacle create traffic separation challenges. Communication experiences a 20-second loss window, simulating a lost link fault. The route includes three waypoints ending near a preferred landing site, with an emergency site available. Strict separation thresholds and battery reserves are enforced to ensure safety and mission success.","Increase pitch 8°, maintain power","Decrease pitch 5°, reduce power 20%","Increase pitch 3°, increase power 15%","Maintain pitch, increase power 25%","Decrease pitch 2°, maintain power","Increase pitch 10°, reduce power 10%","Decrease pitch 6°, increase power 30%","[""Increase pitch 8°, maintain power"", ""Decrease pitch 5°, reduce power 20%"", ""Increase pitch 3°, increase power 15%"", ""Maintain pitch, increase power 25%"", ""Decrease pitch 2°, maintain power"", ""Increase pitch 10°, reduce power 10%"", ""Decrease pitch 6°, increase power 30%""]","A sudden tailwind reduces airspeed, decreasing lift and increasing sink rate. Increasing pitch angle compensates for lost lift by raising angle of attack within safe limits, while added power counters drag rise and maintains climb efficiency. Other options either over-pitch (risking stall) or mismanage thrust, worsening energy loss." 2025-11-01T17:52:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_HAPS_Rural_Lightning_Test_8a192bab268d_mcq.json,uavbench-mcq-v1,BVLOS_HAPS_Rural_Lightning_Test,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"At 2,500 m AGL with GNSS jamming and 4 m/s gusts, which navigation strategy maintains survey accuracy and DAA compliance?","This is a BVLOS survey mission conducted in rural airspace with a high-altitude pseudo-satellite (HAPS) UAV. The UAV operates between 1,000 and 3,000 meters AGL within a defined geofenced polygon. Weather includes moderate winds increasing with altitude, gusts up to 4 m/s, and a lightning risk. The UAV is battery-powered, equipped with radar, RGB camera, and standard navigation sensors. A static no-fly zone and a moving no-fly cylinder create dynamic airspace constraints. Another UAV and a moving spherical obstacle are present, requiring DAA compliance with 100-meter separation. GNSS jamming and communication uplink loss are simulated as fault conditions. The mission involves a grid pattern survey with five waypoints and a 10-minute time budget. Thermal updrafts are present, potentially affecting energy management and flight stability. Key risks include GNSS multipath and interference, lightning, and maintaining separation in dynamic airspace.",Rely solely on GNSS due to high altitude stability,Switch to IMU-only dead reckoning for 10-minute grid,Use radar-altimeter and barometer fusion for vertical hold,"Fuse radar, IMU, and visual odometry with wind-compensated EKF","Descend to 1,000 m to reduce wind and jamming effects",Pause survey and orbit using magnetic heading stabilization,Navigate via RGB camera landmarks ignoring thermal updrafts,"[""Rely solely on GNSS due to high altitude stability"", ""Switch to IMU-only dead reckoning for 10-minute grid"", ""Use radar-altimeter and barometer fusion for vertical hold"", ""Fuse radar, IMU, and visual odometry with wind-compensated EKF"", ""Descend to 1,000 m to reduce wind and jamming effects"", ""Pause survey and orbit using magnetic heading stabilization"", ""Navigate via RGB camera landmarks ignoring thermal updrafts""]","GNSS jamming invalidates pure satellite-based navigation, requiring resilient fusion of inertial, visual, and radar data. An EKF integrating radar, IMU, and visual odometry corrects IMU drift while compensating for wind-induced trajectory errors. This maintains positioning accuracy, obstacle separation, and survey integrity despite GNSS loss and gusts." 2025-11-01T17:52:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Glider_Volcanic_Sandstorm_Test_317d2f9cc899_mcq.json,uavbench-mcq-v1,BVLOS_Glider_Volcanic_Sandstorm_Test,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 420 seconds, RSSI drops to -85 dBm with 28% battery, 13.5 m/s winds, and a moving obstacle at 35s TTC—what action maximizes mission success?","This is a BVLOS glider mission conducting a corridor survey in a volcanic zone with active sandstorm conditions and poor visibility. The UAV operates between 50 and 450 meters AGL within a defined polygonal airspace containing static and moving no-fly zones. Strong winds up to 13.5 m/s increase with altitude and shift direction, compounded by thermal updrafts near volcanic plumes. The electric glider carries a dual-camera payload (RGB and thermal) for data collection, relying on battery power with a 30% reserve requirement. GNSS signals are degraded by multipath effects and moderate jamming at -75 dBm, while electromagnetic interference challenges sensor reliability. A dynamic no-fly zone and a moving spherical obstacle require real-time avoidance, with a separation threshold of 50 meters and TTC threshold of 30 seconds. Communication experiences brief downlink outages between 120–135 and 480–500 seconds, with minimum RSSI at -85 dBm. The mission must be completed within 600 seconds, starting from a mid-air spawn point and navigating around a central cylindrical NFZ. Emergency landing is available at a single designated site in case of critical failure.",Climb to 450m for stronger GNSS signal,Descend to 50m to reduce wind exposure,Hold current altitude and reduce airspeed,Turn 30° away while maintaining speed,Increase speed to exit jamming zone,Initiate emergency landing immediately,Descend to 150m and follow obstacle drift,"[""Climb to 450m for stronger GNSS signal"", ""Descend to 50m to reduce wind exposure"", ""Hold current altitude and reduce airspeed"", ""Turn 30° away while maintaining speed"", ""Increase speed to exit jamming zone"", ""Initiate emergency landing immediately"", ""Descend to 150m and follow obstacle drift""]",Descending to 150m balances reduced wind shear and thermal interference while preserving battery. It maintains safe separation from the obstacle and avoids low-altitude turbulence near 50m. This altitude sustains acceptable GNSS performance and reserves energy for data transmission during downlink outages. 2025-11-01T17:52:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Octocopter_Arctic_Test_cef245a9c79f_mcq.json,uavbench-mcq-v1,BVLOS_Octocopter_Arctic_Test,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 340s, icing fault persists, wind shifts, and moving obstacle approaches; downlink lost 300–360s. Prioritize?","This is a BVLOS octocopter mission for infrastructure inspection in Arctic airspace. The UAV operates within a defined corridor between 10–150 meters AGL, navigating a polygonal geofenced area with static and moving no-fly zones. Weather conditions include strong winds up to 14 m/s, gusts, snowfall, and icing, with wind increasing and shifting direction at altitude. The octocopter is equipped with a battery-powered rotorcraft system, carrying RGB and thermal cameras, LiDAR, and standard navigation sensors. Key constraints include GNSS multipath, moderate electromagnetic interference, and temporary downlink outages between 300–360 and 500–550 seconds. A dynamic no-fly zone and a moving spherical obstacle require real-time avoidance, with a second UAV flying through the airspace on a fixed path. An icing fault event occurs at 120 seconds, reducing performance for 180 seconds. The mission must complete within 600 seconds, returning to start, while maintaining separation and avoiding geofence or altitude violations. Battery reserve is set to 30%, and comms reliability is degraded with low RSSI, challenging telemetry and control.",Continue inspection to meet 600s deadline,Climb above 150m AGL for clearer GNSS signal,Divert to nearest safe landing zone immediately,Transmit stored data via low-RSSI link repeatedly,Fly toward populated refueling station for support,Maintain course through dynamic no-fly zone to save time,Initiate return-to-start with terrain-aware descent,"[""Continue inspection to meet 600s deadline"", ""Climb above 150m AGL for clearer GNSS signal"", ""Divert to nearest safe landing zone immediately"", ""Transmit stored data via low-RSSI link repeatedly"", ""Fly toward populated refueling station for support"", ""Maintain course through dynamic no-fly zone to save time"", ""Initiate return-to-start with terrain-aware descent""]","Safety requires maintaining geofence compliance and descent planning amid sensor degradation. Continuing or diverting unsafely risks collision or loss of control. G ensures return within altitude limits, preserves battery margin, and avoids populated areas despite comms loss." 2025-11-01T17:52:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Helicopter_Inspection_at_Industrial_Plant_with_Strong_Crosswind_6c46fba9169d_mcq.json,uavbench-mcq-v1,BVLOS_Helicopter_Inspection_at_Industrial_Plant_with_Strong_Crosswind,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 115s, UAV faces moving obstacle at 35m distance, 8.5 m/s crosswind, and imminent 15s comms loss. Prioritize?","This is a BVLOS helicopter UAV inspection mission at an industrial plant. The UAV operates within a defined polygonal airspace bounded from 5 to 120 meters AGL. A strong 8.5 m/s crosswind from 240 degrees with gusts up to 4.2 m/s challenges flight stability. The helicopter is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors for inspection tasks. It has a total battery capacity of 680 Wh and must maintain a 30% reserve for safe return. A static no-fly zone (cylinder, 20m radius) and a dynamic moving NFZ (10m radius, drifting at 2.5 m/s) restrict flight paths. A moving spherical obstacle travels horizontally across the area, requiring real-time avoidance. The UAV must maintain 25-meter separation from other traffic, with a DAA TTC threshold of 15 seconds. Communication experiences brief uplink/downlink outages between 120–135s and 400–410s. Mission success depends on waypoint completion within 600 seconds while avoiding collisions, NFZ breaches, and comms loss.",Continue to next waypoint to maintain schedule,Ascend to 130m AGL for obstacle clearance,Hover in place until obstacle passes safely,Descend to 5m AGL to reduce wind exposure,Abort mission and return to base immediately,Enter no-fly zone to shortcut around obstacle,Execute lateral avoidance maneuver within bounds,"[""Continue to next waypoint to maintain schedule"", ""Ascend to 130m AGL for obstacle clearance"", ""Hover in place until obstacle passes safely"", ""Descend to 5m AGL to reduce wind exposure"", ""Abort mission and return to base immediately"", ""Enter no-fly zone to shortcut around obstacle"", ""Execute lateral avoidance maneuver within bounds""]","The UAV must avoid collision while respecting airspace limits, battery reserve, and NFZs. G enables real-time obstacle avoidance within safe altitude and legal boundaries. Other options violate safety, law, or mission integrity." 2025-11-01T17:52:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Powerline_Inspection_with_VTOL_Tiltrotor_in_Hail_0b1dbfd70b8b_mcq.json,uavbench-mcq-v1,BVLOS_Powerline_Inspection_with_VTOL_Tiltrotor_in_Hail,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 300 s, GNSS jamming at -85 dBm occurs. Which response maintains control and data integrity despite 45 s comms loss?","This is a BVLOS powerline inspection mission using a VTOL tiltrotor UAV equipped with RGB and thermal cameras, operating within a defined corridor airspace. The UAV has a total mass of 12.5 kg, powered by a 1200 Wh battery, and carries a 1.2 kg payload with lidar and GNSS/IMU-based navigation. The environment features strong winds increasing with altitude, gusts, poor visibility, and active hail, creating challenging flight conditions. The mission takes place in a geofenced polygon with static and dynamic no-fly zones, including a moving obstacle and a drifting NFZ near the corridor. GNSS multipath, jamming at -85 dBm, and electromagnetic interference degrade navigation reliability, especially during a planned GNSS jamming fault at 300 seconds. The UAV must maintain separation from another traffic UAV and a moving spherical obstacle, with DAA thresholds set at 50 meters and 30 seconds TTC. Flight is constrained between 10 and 150 meters AGL, requiring runway-assisted takeoff and landing, with predefined primary and emergency sites. An icing event occurs at 120 seconds, reducing performance by 60% for one minute, compounding weather-related risks. Communication suffers from downlink failure and a 45-second loss window, limiting telemetry and control feedback. The mission must be completed within 600 seconds despite energy drain from wind, transitions, and faults, with success dependent on avoiding NFZ breaches, collisions, and battery depletion.",Switch to encrypted L-band RTK with inertial fusion,Rely solely on unencrypted ADS-B for position updates,Disable telemetry encryption to reduce latency by 15 ms,Use open Wi-Fi for emergency command uplink,Lock flight path using last known GNSS fix,Transmit raw sensor data unauthenticated to ground,Engage direct RC override via unauthenticated link,"[""Switch to encrypted L-band RTK with inertial fusion"", ""Rely solely on unencrypted ADS-B for position updates"", ""Disable telemetry encryption to reduce latency by 15 ms"", ""Use open Wi-Fi for emergency command uplink"", ""Lock flight path using last known GNSS fix"", ""Transmit raw sensor data unauthenticated to ground"", ""Engage direct RC override via unauthenticated link""]","Encrypted L-band RTK resists jamming and spoofing while inertial fusion ensures control stability during GNSS outages. This preserves data integrity and availability over the 45-second comms loss. Other options expose unverified data or unsecured links, risking takeover or divergence." 2025-11-01T17:52:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Powerline_Inspection_in_Rain_1b1462b32799_mcq.json,uavbench-mcq-v1,BVLOS_Powerline_Inspection_in_Rain,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"At 120m AGL, 12 m/s wind, and 45% battery, how should the UAV respond to GNSS jamming while maintaining BVLOS powerline inspection?","This is a BVLOS powerline inspection mission conducted in a defined corridor with challenging weather. The operation takes place in a polygonal airspace bounded between 10 and 150 meters AGL, featuring a static and a moving no-fly zone. Weather includes steady rain, poor visibility, icing conditions, and increasing wind with altitude, peaking at 12 m/s. An octocopter UAV equipped with radar, RGB and thermal cameras performs the mission, carrying a 1.2 kg payload. The UAV relies on GNSS but faces multipath interference, electromagnetic noise, and a simulated GNSS jamming event. A separate UAV and a moving spherical obstacle introduce dynamic traffic risks. The mission must be completed within 600 seconds, following a predefined waypoint path while maintaining separation. Battery endurance is critical, with a 30% reserve required and potential performance loss due to icing. Communication downlink is unreliable, with two planned loss windows, increasing operational risk.",Descend to 20m AGL to reduce wind exposure and save power,Climb to 150m AGL for clearer GNSS signals and faster transit,Hold position at 120m AGL using radar and optical flow for stability,Return to home immediately to ensure 30% battery reserve,Increase speed to reach next waypoint before communication loss,"Follow powerline visually using RGB/thermal, reducing reliance on GNSS",Circle at current altitude to wait out jamming with minimal energy use,"[""Descend to 20m AGL to reduce wind exposure and save power"", ""Climb to 150m AGL for clearer GNSS signals and faster transit"", ""Hold position at 120m AGL using radar and optical flow for stability"", ""Return to home immediately to ensure 30% battery reserve"", ""Increase speed to reach next waypoint before communication loss"", ""Follow powerline visually using RGB/thermal, reducing reliance on GNSS"", ""Circle at current altitude to wait out jamming with minimal energy use""]","Flying at 120m balances wind exposure and sensor effectiveness, while using RGB/thermal to track the powerline maintains navigation accuracy despite GNSS failure. This preserves mission progress, energy, and separation without violating altitude or reserve constraints." 2025-11-01T17:52:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Octocopter_Bridge_Inspection_Under_Hail_5a2e3488c874_mcq.json,uavbench-mcq-v1,BVLOS_Octocopter_Bridge_Inspection_Under_Hail,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"Given 8.5 m/s winds from 游戏副本 and 30% battery reserve, which thrust-to-weight response maintains control during BVLOS bridge inspection?","This is a BVLOS bridge inspection mission using an octocopter UAV equipped with RGB camera and LiDAR payload. The operation takes place in a defined airspace around a bridge site with a rectangular geofence and minimum/maximum altitude limits of 10 and 120 meters AGL. Weather conditions include strong winds from 240 degrees at 8.5 m/s with gusts up to 4.2 m/s, poor visibility, and active hail. The octocopter has a total mass of 13.7 kg, including a 1.2 kg payload, and is powered by an 1800 Wh battery with a 30% reserve requirement. A static no-fly zone is present near the center of the site, and a dynamic no-fly zone moves slowly through the area. The mission involves flying a corridor pattern through four waypoints within a 600-second time limit. A second UAV and a moving spherical obstacle traverse the airspace, requiring collision avoidance with a 25-meter separation threshold. GNSS jamming and a partial motor failure are injected as faults, and downlink communication is intermittently lost. Challenges include hail-induced sensor degradation, wind effects, GNSS denial, dynamic obstacles, and maintaining command and control link integrity.",Increase collective pitch to maximize lift,Reduce airspeed to minimize drag,Bank 45° into wind for lateral stability,Maintain 1.3× hover power for gust rejection,Descend to 10 m AGL to避 hail damage,Pitch down 10° to increase forward airspeed,Hover with zero groundspeed to await GNSS,"[""Increase collective pitch to maximize lift"", ""Reduce airspeed to minimize drag"", ""Bank 45° into wind for lateral stability"", ""Maintain 1.3× hover power for gust rejection"", ""Descend to 10 m AGL to避 hail damage"", ""Pitch down 10° to increase forward airspeed"", ""Hover with zero groundspeed to await GNSS""]","With strong 240° winds and gusts, maintaining excess power (1.3× hover) ensures sufficient thrust margin to counteract turbulence and partial motor failure. This balances lift and drag while preserving control authority under reduced GNSS and intermittent downlink. Other options either increase stall risk, reduce controllability, or violate minimum altitude or power constraints." 2025-11-01T17:52:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Rural_Icing_Test_7affaf19fabf_mcq.json,uavbench-mcq-v1,BVLOS_Rural_Icing_Test,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,D,False,"At 300s, icing reduces efficiency 60% for 2 minutes; UAV must maintain 25m separation and 15s TCA while conserving 30% battery for return.","This is a BVLOS rural survey mission using a battery-powered quadrotor UAV equipped with RGB camera payload. The flight occurs in a rural airspace with good visibility but includes icing conditions that may affect performance. A cylindrical no-fly zone is present at the center of the 500m x 500m geofenced area, restricting access between 10m and 80m altitude. The UAV must follow a corridor-style waypoint pattern while avoiding a moving spherical obstacle and maintaining separation from another UAV on a crossing path. Wind is from 240 degrees at 6.5 m/s with gusts up to 3.2 m/s, adding aerodynamic challenge. The mission includes a scheduled icing event at 300 seconds, reducing efficiency by 60% for two minutes. GNSS, IMU, magnetometer, barometer, and camera data are available for navigation and sensing. Collision avoidance is enforced with a 25-meter separation threshold and 15-second time-to-closest-approach limit. The UAV starts with a full 250 Wh battery and must complete the survey within 600 seconds while reserving 30% of energy for safe return. Primary metrics include mission success, collision detection, DAA breaches, final battery level, and icing impact.",Disable GNSS and rely solely on IMU during icing to prevent signal spoofing,Encrypt telemetry with AES-256 but increase transmission interval to save power,Authenticate waypoints via digital signature but delay updates during high wind,Use camera-aided visual odometry if GNSS signal shows anomaly or drift,Prioritize RTK-GNSS fixes continuously to maintain precise corridor tracking,Switch to open-loop actuator commands to reduce computational load during icing,Transmit unencrypted status pings every 2s to ensure ground station awareness,"[""Disable GNSS and rely solely on IMU during icing to prevent signal spoofing"", ""Encrypt telemetry with AES-256 but increase transmission interval to save power"", ""Authenticate waypoints via digital signature but delay updates during high wind"", ""Use camera-aided visual odometry if GNSS signal shows anomaly or drift"", ""Prioritize RTK-GNSS fixes continuously to maintain precise corridor tracking"", ""Switch to open-loop actuator commands to reduce computational load during icing"", ""Transmit unencrypted status pings every 2s to ensure ground station awareness""]","Visual odometry provides resilient positioning if GNSS is compromised, preserving data integrity and availability. It supports control-loop stability during icing-induced performance loss without increasing cyber exposure. This maintains separation assurance and energy-aware navigation under adversarial or fault conditions." 2025-11-01T17:52:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Offshore_Inspection_with_Lightning_Risk_6af6d4e15784_mcq.json,uavbench-mcq-v1,BVLOS_Offshore_Inspection_with_Lightning_Risk,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 8.5 m/s wind from 240°, UAV must enter inspection zone at 50 m AGL. What trim adjustment counters crosswind drift without risking stall?","Fixed-wing UAV conducts BVLOS offshore inspection near an oil platform. Mission occurs in controlled offshore airspace with a defined polygon geofence. Weather includes strong 8.5 m/s winds from 240° and a lightning risk. UAV equipped with radar, RGB and thermal cameras for visual inspection. Flight altitude is restricted between 50 m and 300 m AGL. A cylindrical no-fly zone surrounds a critical platform structure. Lightning risk and GNSS jamming introduce environmental and navigation hazards. UAV must maintain separation from static and moving obstacles, including other traffic. Communication suffers periodic uplink outages and signal degradation. Runway-assisted takeoff and landing are required within limited available sites.","Increase airspeed to 22 m/s, reduce angle of attack",Bank 15° into wind with slight pitch-up correction,"Decrease airspeed to 14 m/s, maintain level flight","Bank 30° away from wind, increase thrust 10%","Pitch down 5° to reduce induced drag, hold heading",Yaw right 20° to align with apparent wind,Climb to 300 m AGL to exploit laminar airflow,"[""Increase airspeed to 22 m/s, reduce angle of attack"", ""Bank 15° into wind with slight pitch-up correction"", ""Decrease airspeed to 14 m/s, maintain level flight"", ""Bank 30° away from wind, increase thrust 10%"", ""Pitch down 5° to reduce induced drag, hold heading"", ""Yaw right 20° to align with apparent wind"", ""Climb to 300 m AGL to exploit laminar airflow""]","Banking into the wind generates a horizontal lift component to counteract crosswind drift while maintaining coordinated flight. A 15° bank balances required lateral force without excessive angle of attack increase, preserving stall margin. Other options either reduce airspeed below safe limits, induce uncoordinated flight, or increase vulnerability to gusts and control loss." 2025-11-01T17:52:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Swarm_Test_in_Jungle_with_Dust_ae0a3730f9ad_mcq.json,uavbench-mcq-v1,BVLOS_Swarm_Test_in_Jungle_with_Dust,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 600s mission time, 0.2kg payload, and two comms outages, which strategy maximizes survey coverage while ensuring swarm separation and return?","This is a BVLOS swarm UAV mission conducting a corridor survey in a jungle environment. The operation takes place within a defined 300m x 250m geofenced area with a minimum altitude of 5m AGL and a ceiling at 120m. Weather conditions include a 6 m/s wind at 135°, increasing with altitude, gusts up to 3.5 m/s, and poor visibility due to dust. The UAV swarm consists of four battery-powered hexacopter-fixed hybrid drones equipped with RGB cameras, LiDAR, and standard navigation sensors. Each drone carries a 0.2kg payload and operates under significant environmental challenges including GNSS multipath, moderate jamming at -85dBm, and electromagnetic interference. A static no-fly zone is present near the center of the airspace, and a dynamic obstacle moves slowly through the area. Additional traffic includes a single UAV flying westbound at 12 m/s. The mission must be completed within 600 seconds, with strict separation requirements of at least 5m between swarm members and a 10m separation threshold for collision avoidance. Communication links experience two brief outages during the mission, and the drones must navigate thermal updrafts near waypoint three. Landing is planned at a preferred site in the southeast corner, with an emergency option in the southwest.","Increase speed to cover area faster, accepting higher power use",Fly lowest altitude continuously to minimize distance and time,"Disable LiDAR during transit, re-enable at waypoints for power save","Ascend to 120m for better comms and GNSS, despite wind drag",Cluster drones to reduce coordination overhead and simplify routing,"Hover at waypoints longer to improve data accuracy, delaying return",Abort mission after first comms loss to preserve battery and safety,"[""Increase speed to cover area faster, accepting higher power use"", ""Fly lowest altitude continuously to minimize distance and time"", ""Disable LiDAR during transit, re-enable at waypoints for power save"", ""Ascend to 120m for better comms and GNSS, despite wind drag"", ""Cluster drones to reduce coordination overhead and simplify routing"", ""Hover at waypoints longer to improve data accuracy, delaying return"", ""Abort mission after first comms loss to preserve battery and safety""]","Disabling LiDAR during transit reduces power consumption significantly, preserving battery for critical data collection at waypoints. It balances mission completeness with energy limits, avoids unnecessary climbs into high-wind zones, and maintains safe separation without extending flight time beyond 600s." 2025-11-01T17:52:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Test_at_Industrial_Plant_with_Fog_ce56bdd636d3_mcq.json,uavbench-mcq-v1,BVLOS_Test_at_Industrial_Plant_with_Fog,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,"Which configuration optimizes BVLOS inspection in fog with GNSS degradation, 30% battery reserve, and dynamic obstacles at 5–120 m AGL?","This is a BVLOS inspection mission at an industrial plant using a VTOL tiltrotor UAV equipped with RGB camera, LiDAR, and standard navigation sensors. The flight occurs in poor visibility due to fog, with moderate winds increasing with altitude and shifting direction. The UAV must operate within a defined airspace corridor between 5 and 120 meters AGL, avoiding static and moving no-fly zones. A dynamic no-fly zone drifts slowly through the area, requiring real-time avoidance. GNSS signals are degraded by multipath effects and electromagnetic interference, with occasional comms loss windows. The mission includes a required runway landing aligned with a designated threshold, following a corridor pattern across five waypoints. Traffic from another UAV entering the airspace must be deconflicted with a 25-meter separation minimum. Wind gusts and sensor limitations increase navigation challenges, especially during transition phases between hover and forward flight. Battery reserves are set to 30%, and energy usage must be carefully managed over the 10-minute mission window. The UAV must avoid collisions with a moving spherical obstacle near the center of the site.","Monocular vision-only navigation, no LiDAR, minimal comms","Dual GNSS receivers with RTK, no fallback, high power use","LiDAR-SLAM with IMU, moderate energy, robust in fog","Pure GNSS-lobe following, ignores wind gust effects","Radar-only avoidance, high weight, blind to static zones","Optical flow hover, fails in low visibility and wind","Predictive path planner with sensor fusion, adaptive to drift","[""Monocular vision-only navigation, no LiDAR, minimal comms"", ""Dual GNSS receivers with RTK, no fallback, high power use"", ""LiDAR-SLAM with IMU, moderate energy, robust in fog"", ""Pure GNSS-lobe following, ignores wind gust effects"", ""Radar-only avoidance, high weight, blind to static zones"", ""Optical flow hover, fails in low visibility and wind"", ""Predictive path planner with sensor fusion, adaptive to drift""]","Option G integrates sensor fusion to compensate for GNSS degradation and fog, while adaptive planning handles dynamic no-fly zones and wind. It balances energy use, safety, and mission duration, unlike others that fail in visibility, redundancy, or adaptability." 2025-11-01T17:52:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Swarming_Inspection_at_Offshore_Platform_c714fc0a135e_mcq.json,uavbench-mcq-v1,BVLOS_Swarming_Inspection_at_Offshore_Platform,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,"Which UAV configuration best handles 30s GNSS jamming, 8.5 m/s winds, and maintains 15m swarm separation?","This is a BVLOS swarming inspection mission at an offshore oil platform. The operation occurs in a designated offshore airspace with a 10–120 m AGL altitude range and a polygonal geofence. Weather includes strong winds at 8.5 m/s from 240°, increasing with altitude, and gusts up to 4.2 m/s. A swarm of five hybrid VTOL fixed-wing UAVs, each with RGB and thermal cameras, lidar, and full navigation sensors, conducts the mission. The UAVs face GNSS multipath, electromagnetic interference, and a planned 30-second GNSS jamming fault at 180 seconds. A static no-fly zone surrounds the platform center, and a dynamic no-fly zone moves slowly through the area. A single traffic UAV crosses the path, and a small moving obstacle drifts near the inspection route. The swarm must maintain 15 m minimum separation and avoid breaching the 25 m DAA separation threshold. Communication experiences a 30-second downlink loss window, requiring resilient data handling. The mission must complete within 600 seconds, inspecting key waypoints in a corridor pattern before returning to base.",Monocular vision-only navigation with basic RF comms,Pure GNSS-dependent guidance with no inertial backup,Lidar-aided SLAM with encrypted long-range datalink,GPS/INS with static obstacle mapping only,Optical flow navigation relying on downward cameras,Acoustic sensors for relative positioning in swarm,Hybrid GPS/INS with lidar and redundant mesh comms,"[""Monocular vision-only navigation with basic RF comms"", ""Pure GNSS-dependent guidance with no inertial backup"", ""Lidar-aided SLAM with encrypted long-range datalink"", ""GPS/INS with static obstacle mapping only"", ""Optical flow navigation relying on downward cameras"", ""Acoustic sensors for relative positioning in swarm"", ""Hybrid GPS/INS with lidar and redundant mesh comms""]","Option G integrates GNSS resilience with inertial and lidar redundancy, enabling navigation during 30s jamming and high-wind drift. Its mesh comms sustain coordination during downlink loss, ensuring 15m separation. Other options fail in at least one critical domain: environmental robustness, fault tolerance, or swarm integrity." 2025-11-01T17:52:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Heavy-Lift_Test_at_Airport_Perimeter_33f2c6e6f4a9_mcq.json,uavbench-mcq-v1,BVLOS_Heavy-Lift_Test_at_Airport_Perimeter,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,BVLOS octocopter at 120m AGL must avoid a south-drifting NFZ and an eastbound UAV at 15 m/s within 10 minutes.,"This is a BVLOS heavy-lift UAV test mission operating near an airport perimeter. The UAV is a battery-powered octocopter with a 5 kg payload, equipped with GNSS, radar, lidar, and RGB camera sensors. It operates within a defined airspace corridor from 10 to 120 meters AGL, bounded by a polygonal geofence. A static no-fly zone blocks the center of the area, while a moving no-fly zone drifts slowly through the southern section. A second UAV travels eastbound at 15 m/s, and a moving spherical obstacle drifts southwest, requiring dynamic avoidance. The mission involves a delivery-style waypoint route forming a rectangular corridor pattern, with a 10-minute time budget. Light winds of 6 m/s from the west include gusts up to 3 m/s, but visibility is good with no adverse weather. The UAV must maintain 25-meter separation from traffic with a 20-second time-to-closest-approach threshold. GNSS multipath effects may occur near airport infrastructure, and precise navigation is needed to avoid runway proximity and no-fly zones. The UAV spawns at the southwest corner and must return to a designated landing site after completing its circuit.",Maintain 120m AGL and continue eastbound,Descend to 10m AGL and hold position,Climb to 130m AGL to clear moving NFZ,Divert south to bypass moving obstacle,Turn west and return to spawn point,Reduce speed to 5 m/s and proceed,Execute lateral avoidance at 110m AGL westward,"[""Maintain 120m AGL and continue eastbound"", ""Descend to 10m AGL and hold position"", ""Climb to 130m AGL to clear moving NFZ"", ""Divert south to bypass moving obstacle"", ""Turn west and return to spawn point"", ""Reduce speed to 5 m/s and proceed"", ""Execute lateral avoidance at 110m AGL westward""]","The UAV must stay within 10–120m AGL and avoid both traffic and dynamic obstacles. Option G maintains safe altitude, applies lateral separation from the eastbound UAV, and respects the 25m/20s rule. Other options violate altitude bounds, increase collision risk, or waste time." 2025-11-01T17:52:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Test_at_Industrial_Plant_with_HAPS_under_Low_Visibility_16d5efa83045_mcq.json,uavbench-mcq-v1,BVLOS_Test_at_Industrial_Plant_with_HAPS_under_Low_Visibility,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"At 550 s, comms drop occurs while a UAV drifts west at 3 m/s; which action maintains separation and mission integrity?","This is a BVLOS inspection mission using a high-altitude pseudo-satellite UAV at an industrial plant. The UAV operates between 100 and 800 meters AGL within a defined polygonal geofence. Weather conditions include poor visibility, icing, and moderate winds up to 8.5 m/s from 240 degrees, with increasing wind speed and shifting direction at higher altitudes. The UAV is battery-powered, equipped with radar, RGB and thermal cameras, and relies on GNSS/IMU navigation despite multipath interference and mild GNSS jamming. A static no-fly zone protects a critical facility, while a dynamic no-fly zone moves through the area, requiring real-time avoidance. The mission includes a mandatory runway landing, with transition times between VTOL and forward flight modes. Icing conditions occur mid-mission, reducing performance for 120 seconds. Communication experiences brief uplink/downlink losses at 200 and 550 seconds. Traffic includes one conflicting UAV, and a moving spherical obstacle drifts westward at 3 m/s. The UAV must maintain separation, avoid obstacles and NFZs, complete the waypoint corridor, and land safely within 15 minutes.","Continue current path, resume after comms restore",Ascend to 800 m for better GNSS signal,Execute pre-coordinated lateral offset maneuver,Descend to 100 m to avoid wind shear,Hover in place until obstacle clears path,Switch to thermal-only mode to save power,"Broadcast emergency beacon, initiate RTL","[""Continue current path, resume after comms restore"", ""Ascend to 800 m for better GNSS signal"", ""Execute pre-coordinated lateral offset maneuver"", ""Descend to 100 m to avoid wind shear"", ""Hover in place until obstacle clears path"", ""Switch to thermal-only mode to save power"", ""Broadcast emergency beacon, initiate RTL""]","The pre-coordinated lateral offset uses decentralized decision logic to maintain separation from the moving obstacle without real-time comms. It preserves formation geometry relative to the geofence and avoids conflict with the dynamic no-fly zone. Other options either break timing constraints, increase collision risk, or waste energy, degrading swarm efficiency." 2025-11-01T17:52:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Swarm_Drone_Fog_Test_323a6a0f0b17_mcq.json,uavbench-mcq-v1,BVLOS_Swarm_Drone_Fog_Test,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,A drone in the swarm experiences icing at 120 m AGL in fog with 6 m/s winds. What action maintains safety and mission compliance?,"This is a BVLOS swarm drone survey mission in rural airspace with poor visibility due to fog and icing conditions. The environment includes steady wind at 6 m/s from 240 degrees with gusts up to 3.5 m/s. Four small multirotor drones (2.5 kg each) operate as a coordinated swarm, equipped with GNSS, IMU, lidar, and RGB cameras. The drones fly between 30 and 120 meters AGL within a 500x500 meter geofenced area. A static no-fly zone is present at the center, with an additional dynamic no-fly cylinder moving across the area. The mission requires navigating a grid pattern while avoiding both static and moving obstacles. Drones must maintain at least 10 meters inter-vehicle separation and comply with DAA thresholds of 25 meters and 15 seconds TTC. Communication experiences intermittent downlink loss, and one drone will face reduced performance due to an icing event. Constraints include low visibility, GNSS signal degradation risk, and limited battery capacity requiring efficient routing.",Descend to 30 m AGL and continue surveying,Climb to 130 m AGL to avoid dynamic NFZ,Maintain altitude and reduce speed by 30%,Abort mission and return at 120 m AGL,Descend to 40 m AGL and hold until icing clears,Increase altitude to 150 m AGL for better GNSS,Divert to nearest runway at 60 m AGL via safe corridor,"[""Descend to 30 m AGL and continue surveying"", ""Climb to 130 m AGL to avoid dynamic NFZ"", ""Maintain altitude and reduce speed by 30%"", ""Abort mission and return at 120 m AGL"", ""Descend to 40 m AGL and hold until icing clears"", ""Increase altitude to 150 m AGL for better GNSS"", ""Divert to nearest runway at 60 m AGL via safe corridor""]","Diverting at 60 m AGL balances altitude constraints, separation, and degrades less in icing. It avoids NFZs, maintains VLOS-equivalent safety in fog, and preserves battery for glide landing if needed. Other options risk icing, exceed AGL limits, or ignore DAA thresholds." 2025-11-01T17:52:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Offshore_Convertiplane_Inspection_in_Dust_da2722ea589b_mcq.json,uavbench-mcq-v1,BVLOS_Offshore_Convertiplane_Inspection_in_Dust,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During BVLOS offshore flight at 200m AGL, dual downlink losses occur amid GNSS multipath and EM interference. What ensures secure, stable control?","This is a BVLOS offshore inspection mission using a convertiplane UAV near an offshore platform. The UAV operates in poor visibility due to dust, with strong winds increasing with altitude and shifting direction. The convertiplane has a battery-powered hybrid design, equipped with radar, RGB camera, and full navigation sensors, but faces GNSS multipath and electromagnetic interference. It must inspect a series of waypoints in a corridor pattern while avoiding a central cylindrical no-fly zone and a moving spherical obstacle. The mission requires a runway for landing, with a designated threshold and preferred landing site, plus an emergency zone. A conflicting UAV traffic approaches from the east, requiring separation monitoring with a 50-meter threshold. Wind gusts and dust reduce visibility and increase navigation uncertainty, especially during transition phases between hover and forward flight. The UAV must manage battery reserves carefully, as energy consumption is high due to wind and dust-induced drag. Communication experiences two brief downlink loss windows, requiring robust data handling. The flight is confined between 10 and 300 meters AGL within a defined polygonal airspace.",Switch to encrypted datalink with authenticated commands and inertial-only navigation,Rely on unencrypted backup radio for real-time video downlink,Increase GNSS update rate to counter multipath errors,Disable radar to reduce electromagnetic emissions and power load,Accept open-loop control during downlink loss to preserve battery,Use visual odometry from RGB camera for position correction,Transmit unauthenticated heartbeat signals every 10 seconds,"[""Switch to encrypted datalink with authenticated commands and inertial-only navigation"", ""Rely on unencrypted backup radio for real-time video downlink"", ""Increase GNSS update rate to counter multipath errors"", ""Disable radar to reduce electromagnetic emissions and power load"", ""Accept open-loop control during downlink loss to preserve battery"", ""Use visual odometry from RGB camera for position correction"", ""Transmit unauthenticated heartbeat signals every 10 seconds""]","Encrypted and authenticated communication preserves command integrity during downlink loss, while inertial navigation maintains control stability despite GNSS spoofing risks. This option ensures both cyber resilience and physical control continuity under adversarial conditions. Other choices either expose the system to spoofing or fail to sustain navigation accuracy." 2025-11-01T17:52:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Test_at_Industrial_Plant_with_Hail_0a2aad0657a2_mcq.json,uavbench-mcq-v1,BVLOS_Test_at_Industrial_Plant_with_Hail,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 250 m AGL, 15 m/s headwind, and icing, what adjustment maintains lift with 12% reduced wing efficiency?","This is a BVLOS inspection mission at an industrial plant using a high-altitude pseudo-satellite UAV. The aircraft operates between 100 and 300 meters AGL within a defined polygonal geofence. The environment features strong winds increasing with altitude, gusts, poor visibility, and active hail. The UAV is equipped with radar, RGB and thermal cameras, and relies on battery power with moderate endurance. Notable constraints include a static no-fly zone over a critical facility and a moving no-fly zone drifting across the site. GNSS signals are degraded due to multipath and jamming, and electromagnetic interference is present. A second UAV and a moving spherical obstacle introduce dynamic traffic risks. The mission requires runway-assisted takeoff and landing, with specific transition times between flight modes. An icing event occurs mid-mission, reducing performance for one minute. Communication experiences brief dropouts, and separation assurance must maintain at least 50 meters from intruders.",Increase angle of attack by 8°,Reduce airspeed to 18 m/s,Deploy flaps to 25°,Bank 30° to descend,Pitch down 5° to gain speed,Maintain current attitude,Retract landing gear,"[""Increase angle of attack by 8°"", ""Reduce airspeed to 18 m/s"", ""Deploy flaps to 25°"", ""Bank 30° to descend"", ""Pitch down 5° to gain speed"", ""Maintain current attitude"", ""Retract landing gear""]","Increased angle of attack compensates for reduced wing efficiency by restoring lift coefficient despite ice contamination. Other options either reduce lift (B, D, E, F), are ineffective (G), or increase drag excessively without immediate benefit (C). A- balances required lift, control authority, and avoids stall at reduced Reynolds number." 2025-11-01T17:52:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_VTOL_Tiltrotor_Test_in_Industrial_Plant_with_Microburst_Risk_ecd494af0491_mcq.json,uavbench-mcq-v1,BVLOS_VTOL_Tiltrotor_Test_in_Industrial_Plant_with_Microburst_Risk,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"Plan a 600s BVLOS inspection at 120m AGL with moving NFZ, GNSS jamming, and 2 comms outages in strong westerly winds.","This is a BVLOS inspection mission using a VTOL tiltrotor UAV in an industrial plant environment. The airspace is confined with a maximum altitude of 120 meters AGL and includes both static and moving no-fly zones. Weather conditions feature strong westerly winds increasing with altitude and a risk of microbursts, creating turbulence and wind shear hazards. The UAV is equipped with standard navigation sensors, LiDAR, and an RGB camera for visual inspection tasks. GNSS multipath effects and electromagnetic interference are present, with planned GNSS jamming events during the flight. A dynamic no-fly zone moves through the area, and a stationary cylinder-shaped NFZ blocks central airspace. The mission requires runway-assisted takeoff and landing, with transition phases between hover and forward flight. Traffic from another UAV and a moving spherical obstacle add complexity to path planning. Communication link loss is expected at two intervals, simulating lost link and degraded GNSS scenarios. The flight must complete within 600 seconds while maintaining separation, avoiding collisions, and preserving battery reserves.","Fly direct at 110m AGL, ignore wind, use GNSS throughout","Climb to 120m, overfly moving NFZ, descend after jamming zone","Descend to 60m AGL, divert east, transition to hover near obstacle",Delay takeoff by 90s to avoid dynamic NFZ and microburst peak,"Proceed at 100m AGL, reduce speed in turbulence, skip visual tasks",Abort mission post-jamming due to lost link and low battery risk,Route below 50m AGL through central cylinder NFZ to save time,"[""Fly direct at 110m AGL, ignore wind, use GNSS throughout"", ""Climb to 120m, overfly moving NFZ, descend after jamming zone"", ""Descend to 60m AGL, divert east, transition to hover near obstacle"", ""Delay takeoff by 90s to avoid dynamic NFZ and microburst peak"", ""Proceed at 100m AGL, reduce speed in turbulence, skip visual tasks"", ""Abort mission post-jamming due to lost link and low battery risk"", ""Route below 50m AGL through central cylinder NFZ to save time""]","Flying at 60m AGL reduces wind shear and turbulence exposure while avoiding the central cylinder NFZ and moving obstacle. It enables safer transition to hover, maintains separation, and conserves battery despite gusts. Other options violate altitude, NFZ, or endurance constraints, or fail to mitigate GNSS degradation." 2025-11-01T17:52:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_Wind_Farm_Survey_with_Swarm_Drone_under_Microburst_Risk_54c2f778221d_mcq.json,uavbench-mcq-v1,BVLOS_Wind_Farm_Survey_with_Swarm_Drone_under_Microburst_Risk,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,Which system ensures swarm coordination under GNSS jamming at -85 dBm and 13.5 m/s winds at 100 m with 450 Wh batteries?,"This is a BVLOS survey mission using a six-drone swarm operating within a coastal wind farm environment. The airspace is constrained between 10 and 120 meters AGL with a static no-fly cylinder around a central turbine and a moving exclusion zone due to dynamic obstacles. Winds increase with altitude, reaching 13.5 m/s at 100 m with a 260° direction, and a microburst risk adds turbulence concerns. The swarm consists of rotorcraft-fixed-wing hybrid drones equipped with RGB cameras, LiDAR, and full navigation sensors, but no thermal imaging. Each drone has a battery capacity of 450 Wh and carries a 0.3 kg payload, requiring careful energy management under strong headwinds. GNSS signals are subject to intermittent jamming at -85 dBm with electromagnetic interference present, and a full GNSS jamming fault occurs at 320 seconds for 45 seconds. The mission follows a corridor pattern across four waypoints with a 10-minute time budget, requiring tight coordination and minimum 25-meter inter-drone separation. A single intruder UAV crosses the zone at 12 m/s, and a moving spherical obstacle drifts through the southern area at 2.5 m/s. Communication experiences two short downlink loss windows, and safe landing zones are designated at opposite corners of the operational area.",Uses GNSS-only navigation for simplicity and low weight,Relies on pre-programmed paths without real-time updates,Employs vision-inertial fusion with LiDAR-based relative positioning,Depends on continuous downlink for centralized swarm control,Uses lightweight RF triangulation with minimal power use,Switches to thermal beacons for navigation during jamming,Operates with fixed-wing glide mode to save battery in headwinds,"[""Uses GNSS-only navigation for simplicity and low weight"", ""Relies on pre-programmed paths without real-time updates"", ""Employs vision-inertial fusion with LiDAR-based relative positioning"", ""Depends on continuous downlink for centralized swarm control"", ""Uses lightweight RF triangulation with minimal power use"", ""Switches to thermal beacons for navigation during jamming"", ""Operates with fixed-wing glide mode to save battery in headwinds""]","Vision-inertial fusion combined with LiDAR enables precise relative positioning during GNSS outages and maintains swarm separation. It functions despite electromagnetic interference and supports obstacle awareness in turbulent, constrained airspace. Other systems fail due to dependency on jammed signals, lack of redundancy, or infeasible assumptions like thermal use or continuous comms." 2025-11-01T17:52:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Battery_Emergency_Forced_Landing_at_Airport_Perimeter_with_Gusts_3c353cf5b243_mcq.json,uavbench-mcq-v1,Battery_Emergency_Forced_Landing_at_Airport_Perimeter_with_Gusts,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"At 200 s, motor fails; UAV at (350, 250, 60). Which emergency route avoids NFZ, obstacle, and ensures 25 m separation?","This scenario involves a battery emergency forced landing near an airport perimeter. The octocopter UAV operates in controlled airspace with a maximum altitude of 120 m AGL and a minimum of 10 m AGL. Weather includes strong winds at 8.5 m/s from 240° with gusts up to 4.2 m/s, though visibility is good. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors, carrying a 1.2 kg payload. A no-fly zone cylinder is centered at (400, 300) with a 50 m radius and vertical limits from 10 to 80 m. The mission begins at (100, 100, 50) and includes three waypoints in a corridor pattern, but must abort due to a simulated motor failure at 200 seconds. Emergency landing sites are located at (100, 500) and (700, 500) outside the NFZ. A second UAV travels at 15 m/s on a heading of 180°, requiring separation by at least 25 m. A moving spherical obstacle drifts through the airspace at (300, 400, 30) with a 10 m radius and velocity (2, -1, 0) m/s. Communication experiences brief downlink outages between 150–160 s and 300–315 s, with minimum RSSI at -85 dBm.","Direct to (100, 500) at 60 m AGL, no delay","Descend to 15 m, fly east then south to (700, 500)","Head west, climb to 85 m AGL, then to (100, 500)",Cut through NFZ center at 45 m AGL to save time,"Follow (300, 400) tangent south at 25 m AGL","Loiter at (350, 250) for 20 s, then to (700, 500)","Fly direct to (700, 500) at 60 m AGL, crossing (400, 300)","[""Direct to (100, 500) at 60 m AGL, no delay"", ""Descend to 15 m, fly east then south to (700, 500)"", ""Head west, climb to 85 m AGL, then to (100, 500)"", ""Cut through NFZ center at 45 m AGL to save time"", ""Follow (300, 400) tangent south at 25 m AGL"", ""Loiter at (350, 250) for 20 s, then to (700, 500)"", ""Fly direct to (700, 500) at 60 m AGL, crossing (400, 300)""]","The moving obstacle at (300, 400, 30) with 10 m radius requires a tangent path at or above 25 m AGL to avoid collision while staying below 80 m NFZ ceiling. Route E skirts south at 25 m AGL, maintaining safe lateral and vertical separation from both NFZ and obstacle. Other options either breach the NFZ, fly too low, or fail to account for dynamic obstacles and separation minima." 2025-11-01T17:52:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_VTOL_Tiltrotor_Cold_Warehouse_Test_5188608214e2_mcq.json,uavbench-mcq-v1,BVLOS_VTOL_Tiltrotor_Cold_Warehouse_Test,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"During BVLOS inspection in a 50m x 40m warehouse, with 5m separation and 10s collision threshold, how should the two UAVs coordinate near the central no-fly zone?","This is a BVLOS inspection mission using a VTOL tiltrotor UAV inside a cold indoor warehouse environment. The UAV operates within a confined 50m x 40m polygon airspace, with altitude limited between 0.5m and 15m AGL. Icing conditions are present, posing a risk to flight performance and requiring resilience to icing events. The UAV is equipped with GNSS, IMU, lidar, and RGB camera payload for navigation and inspection tasks. A central cylindrical no-fly zone at the warehouse midpoint must be avoided during flight. The mission includes dynamic obstacles, such as a moving sphere, and another UAV traffic participant. Strict separation standards (5m) and time-to-collision thresholds (10s) are enforced for collision avoidance. GNSS multipath effects are a concern due to indoor metallic structures and limited satellite visibility. The flight profile includes transitions between hover and forward flight, with runway-assisted takeoff and landing required.",Both UAVs descend to 0.5m to minimize collision risk,One UAV hovers at 12m while the other passes at 8m,UAVs synchronize altitude at 10m and approach within 3m,Both increase speed to reduce time near the no-fly zone,One UAV delays entry until the other clears 5m radius,They switch inspection roles mid-mission without signaling,UAVs share lidar data but ignore time-to-collision threshold,"[""Both UAVs descend to 0.5m to minimize collision risk"", ""One UAV hovers at 12m while the other passes at 8m"", ""UAVs synchronize altitude at 10m and approach within 3m"", ""Both increase speed to reduce time near the no-fly zone"", ""One UAV delays entry until the other clears 5m radius"", ""They switch inspection roles mid-mission without signaling"", ""UAVs share lidar data but ignore time-to-collision threshold""]","Maintaining 5m separation and respecting the 10s time-to-collision threshold requires temporal deconfliction. By delaying entry, the second UAV ensures spatial and temporal separation, preserving safety margins. This choice enables predictable coordination without overloading communication or sacrificing situational awareness." 2025-11-01T17:52:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Battery_Emergency_Forced_Landing_at_Offshore_Platform_2c9df5fe44a3_mcq.json,uavbench-mcq-v1,Battery_Emergency_Forced_Landing_at_Offshore_Platform,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which UAV configuration best ensures mission success at 120m AGL with 1.2kg payload, icing, and GNSS jamming at -75 dBm?","This scenario involves an inspection mission using an octocopter UAV operating near an offshore platform. The UAV is equipped with a comprehensive sensor suite including GNSS, IMU, lidar, RGB and thermal cameras, and carries a 1.2 kg payload. It operates within a defined airspace between 10 and 120 meters AGL, bounded by a polygonal geofence and multiple no-fly zones, including a dynamic moving exclusion zone. The environment features poor visibility, icing conditions, and moderate winds increasing with altitude, blowing from 240° at 8.5 m/s at sea level. GNSS signals are degraded due to multipath effects and electromagnetic interference, with moderate jamming at -75 dBm. A traffic UAV approaches from the east, requiring separation maintenance above 25 meters and 15 seconds time-to-closest-approach thresholds. Midway through the mission, an icing event occurs at 420 seconds, reducing performance for one minute, while downlink communication fails intermittently. The UAV must complete a corridor inspection pattern within a 10-minute time budget, but a battery fault forces an emergency landing at one of two designated safe sites. Notable constraints include reserve battery requirements, moving obstacles, comms degradation, and strict adherence to NFZs and separation criteria.",Fixed-pitch propellers for simplicity and lower weight,Dual redundant flight computers with voting logic,Lightweight carbon frame with minimal sensor suite,Single-battery setup to maximize payload capacity,Open-loop control to reduce processing latency,"Thermal de-icing only, no aerodynamic performance margin",Vision-only navigation to bypass GNSS interference,"[""Fixed-pitch propellers for simplicity and lower weight"", ""Dual redundant flight computers with voting logic"", ""Lightweight carbon frame with minimal sensor suite"", ""Single-battery setup to maximize payload capacity"", ""Open-loop control to reduce processing latency"", ""Thermal de-icing only, no aerodynamic performance margin"", ""Vision-only navigation to bypass GNSS interference""]","Dual redundancy ensures fault tolerance during icing and comms failure, critical for emergency landing. It maintains navigation integrity despite GNSS degradation by fusing lidar and IMU. Other options sacrifice safety, adaptability, or resilience under combined environmental and system stressors." 2025-11-01T17:52:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Battery_Emergency_Forced_Landing_in_Jungle_with_Snowfall_908e20e8834f_mcq.json,uavbench-mcq-v1,Battery_Emergency_Forced_Landing_in_Jungle_with_Snowfall,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Heavy-lift UAV faces icing, 9.5 m/s winds, and GNSS issues. Which route avoids dynamic obstacles and NFZs while conserving energy?","Heavy-lift UAV conducts a delivery mission in a dense jungle environment with snowfall and icing conditions. The airspace is constrained by static and moving no-fly zones, requiring careful path planning. Weather includes moderate winds up to 9.5 m/s, poor visibility, and increasing wind shear with altitude. The UAV is equipped with GNSS, IMU, lidar, and RGB camera, but faces GNSS multipath, jamming, and electromagnetic interference. A battery-powered octocopter with heavy payload, it must manage energy reserves under high drag and icing-induced performance loss. An icing event occurs mid-mission, reducing efficiency and increasing stall risk near the tree canopy. Wind gusts and thermal plumes create turbulence, challenging stable flight at low altitudes. The UAV must avoid a dynamic obstacle and another traffic UAV while adhering to separation minimums. Forced to land early due to battery depletion, it targets an emergency site at the jungle edge. Mission success depends on navigating environmental hazards, maintaining communication, and avoiding collisions or geofence breaches.",Climb above 120m AGL to reduce wind shear and bypass canopy turbulence,Descend below 30m AGL to minimize icing risk and avoid wind gusts,"Maintain current altitude, proceed direct to delivery waypoint through NFZ","Turn 180°, return to base using original path with headwind","Reroute laterally around moving obstacle, stay 45–60m AGL, adjust for GNSS drift",Accelerate through snowfall at 80m AGL to reduce exposure time,"Descend rapidly to 10m AGL near canopy, exploiting lidar for obstacle avoidance","[""Climb above 120m AGL to reduce wind shear and bypass canopy turbulence"", ""Descend below 30m AGL to minimize icing risk and avoid wind gusts"", ""Maintain current altitude, proceed direct to delivery waypoint through NFZ"", ""Turn 180°, return to base using original path with headwind"", ""Reroute laterally around moving obstacle, stay 45–60m AGL, adjust for GNSS drift"", ""Accelerate through snowfall at 80m AGL to reduce exposure time"", ""Descend rapidly to 10m AGL near canopy, exploiting lidar for obstacle avoidance""]","Flying at 45–60m AGL balances clearance from canopy turbulence and reduced wind shear, while lateral rerouting avoids the dynamic obstacle and NFZ breach. This altitude band supports lidar-assisted navigation under GNSS degradation and optimizes energy use by avoiding extreme climb or descent. Other options either violate separation, increase stall risk, or waste battery." 2025-11-01T17:52:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Battery_Emergency_Forced_Landing_in_Urban_Canyon_with_High-Altitude_Pseudo-Satellite_21dd6355c3e0_mcq.json,uavbench-mcq-v1,Battery_Emergency_Forced_Landing_in_Urban_Canyon_with_High-Altitude_Pseudo-Satellite,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,"At 550m AGL, 40% battery, and icing onset, should the UAV descend to 300m to reduce wind load and conserve energy?","High-altitude pseudo-satellite UAV conducting a grid survey mission in an urban canyon environment. Operating between 100 and 600 meters AGL within a defined polygonal geofence containing static and moving no-fly zones. Equipped with RGB camera and LiDAR payload, relying on battery power with limited reserve capacity. Encounters strong winds increasing with altitude, gusts, and icing conditions affecting performance. GNSS signals degraded by multipath, jamming, and intermittent outages, challenging navigation accuracy. Dynamic obstacles and a moving no-fly zone require real-time avoidance and replanning. Mid-mission icing event and GNSS jamming fault tests resilience and fault handling. Traffic from another UAV and communication dropouts add operational complexity. Emergency landing sites are available but distant from current position. Mission constrained by tight time budget, separation requirements, and battery depletion risk.",Descend immediately to 300m to save power and avoid gusts.,Maintain altitude for better GNSS signal and survey coverage.,Climb to 600m for improved navigation and obstacle clearance.,Reduce speed at 550m to balance energy and control stability.,Head directly to the emergency landing site while climbing.,Switch to LiDAR-only mode and continue at current altitude.,Enter loiter mode at 550m until GNSS signal stabilizes.,"[""Descend immediately to 300m to save power and avoid gusts."", ""Maintain altitude for better GNSS signal and survey coverage."", ""Climb to 600m for improved navigation and obstacle clearance."", ""Reduce speed at 550m to balance energy and control stability."", ""Head directly to the emergency landing site while climbing."", ""Switch to LiDAR-only mode and continue at current altitude."", ""Enter loiter mode at 550m until GNSS signal stabilizes.""]","Descending to 300m reduces aerodynamic load from strong winds and minimizes icing impact, improving flight stability and energy efficiency. It balances safety, battery constraints, and mission continuity better than higher-risk or higher-consumption alternatives. Higher altitudes worsen power demand and icing, while loitering or climbing risks critical battery depletion." 2025-11-01T17:52:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Battery_Emergency_Forced_Landing_in_Jungle_with_Gusts_8636721c6f35_mcq.json,uavbench-mcq-v1,Battery_Emergency_Forced_Landing_in_Jungle_with_Gusts,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,E,False,"At 320 s, with 7.5 m/s winds from 240° and uplink loss, what minimizes risk while maintaining lift above stall in gusts?","This scenario involves a search and rescue mission using an amphibious fixed-wing UAV equipped with RGB camera and LiDAR payload in a dense jungle environment. The UAV operates within a defined 200m x 150m geofenced area, with altitude restricted between 0 and 120 meters AGL. Weather conditions include strong 7.5 m/s winds from 240 degrees with 4.2 m/s gusts and poor visibility, increasing flight complexity. A static no-fly zone cylinder is located near the center, and a dynamic no-fly zone moves slowly through the airspace, requiring real-time avoidance. The mission includes four waypoints flown in a corridor pattern, with preferred and emergency landing zones designated at opposite corners. Mid-mission at 320 seconds, a severe uplink loss occurs for 45 seconds, simulating communication failure. The UAV must manage energy carefully, as battery capacity is limited to 450 Wh with 30% reserve required, and hover power consumption is high. Air traffic includes a slow-moving UAV, and a moving spherical obstacle traverses the path, requiring DAA compliance with 10-meter separation and 5-second TTC thresholds. GNSS signals may suffer multipath interference due to jungle canopy, and emergency landing may be forced due to power or fault conditions.",Increase angle of attack to 14° and reduce airspeed to 11 m/s,Descend to 40 m AGL and fly downwind at 22 m/s,Bank 35° into wind and maintain 18 m/s with 8° AoA,"Climb to 110 m, reduce thrust, and loiter at 13 m/s","Pitch down to 3°, increase throttle, and fly upwind at 24 m/s","Hold level flight at 80 m, AoA 6°, airspeed 16 m/s",Hover at 60 m using LiDAR for obstacle tracking,"[""Increase angle of attack to 14° and reduce airspeed to 11 m/s"", ""Descend to 40 m AGL and fly downwind at 22 m/s"", ""Bank 35° into wind and maintain 18 m/s with 8° AoA"", ""Climb to 110 m, reduce thrust, and loiter at 13 m/s"", ""Pitch down to 3°, increase throttle, and fly upwind at 24 m/s"", ""Hold level flight at 80 m, AoA 6°, airspeed 16 m/s"", ""Hover at 60 m using LiDAR for obstacle tracking""]","Flying upwind at 24 m/s increases relative airflow, enhancing lift margin and control authority during gusts. Pitching down slightly reduces AoA to avoid stall while increasing thrust counters induced drag and maintains surge capacity. Hovering or slow flight risks stall and high power use, violating energy and aerodynamic constraints." 2025-11-01T17:52:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Battery_Emergency_Forced_Landing_in_Powerline_Corridor_-_Glider_30dbf4350b26_mcq.json,uavbench-mcq-v1,Battery_Emergency_Forced_Landing_in_Powerline_Corridor_-_Glider,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"At 320s, battery fault triggers; UAV is at (1200, 600, 110). Wind 8.5 m/s from 240°. Reach emergency landing (1800, 500, 30) within 600s?","Mission is a powerline corridor inspection using a fixed-wing glider UAV equipped with RGB camera payload. The flight occurs in a defined airspace corridor between 30–150 meters AGL, bounded by polygonal geofences and two no-fly zones, one static and one moving. Weather includes a 8.5 m/s wind from 240° with gusts up to 4.2 m/s, but visibility is good and no precipitation is present. The glider relies on battery power with an initial 120 Wh capacity, and energy consumption is modeled with drag and maneuvering losses. A battery emergency fault is triggered at 320 seconds, simulating critical power loss requiring immediate action. An emergency landing site is designated near the end of the corridor at (1800, 500, 30). The UAV must avoid a moving obstacle near thermal updrafts at (1300, 700, 85) and maintain separation from other air traffic. Electromagnetic interference is present, though GNSS multipath is not an issue, and communication experiences brief downlink losses. The UAV must complete its waypoint route within a 600-second time budget while adhering to DAA thresholds of 25 meters separation and 15 seconds time-to-closest approach. Notable constraints include NFZ avoidance, energy management under wind effects, and safe forced landing due to battery failure.","Descend to 30m AGL, fly direct to landing site","Maintain 110m, proceed to next thermal updraft","Climb to 150m to catch tailwind, then descend",Divert to nearest public runway outside corridor,Circle at current altitude to conserve energy,Fly crosswind at 90m to reduce drag,Jettison payload to reduce weight and glide farther,"[""Descend to 30m AGL, fly direct to landing site"", ""Maintain 110m, proceed to next thermal updraft"", ""Climb to 150m to catch tailwind, then descend"", ""Divert to nearest public runway outside corridor"", ""Circle at current altitude to conserve energy"", ""Fly crosswind at 90m to reduce drag"", ""Jettison payload to reduce weight and glide farther""]","A satisfies energy depletion urgency, stays within AGL bounds, and heads directly to designated emergency site. Other options exceed time, leave corridor, or increase risk without guaranteeing landing success under wind and power loss." 2025-11-01T17:52:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Battery_Emergency_Forced_Landing_in_Rural_Low_Visibility_97d82a90241f_mcq.json,uavbench-mcq-v1,Battery_Emergency_Forced_Landing_in_Rural_Low_Visibility,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"With GNSS failure, 11 m/s winds, and one motor out, what action prioritizes safety at 180 m altitude near a moving no-fly zone?","This scenario involves a battery-powered octocopter conducting a rural survey mission under poor visibility and low-visibility weather conditions. The UAV operates in a defined rural airspace with a geofenced area and two no-fly zones, one static and one moving. Winds increase with altitude, reaching 11 m/s at 200 m with shifting direction, adding navigation challenges. The UAV is equipped with GNSS, IMU, lidar, RGB and thermal cameras, but experiences GNSS multipath, electromagnetic interference, and a temporary GNSS jamming fault. A motor failure occurs mid-mission, reducing propulsion capability, while downlink communication is intermittent with two significant loss windows. The mission includes a corridor-style waypoint path with a preferred landing site and two emergency options. Traffic includes a single intruder UAV moving westward, requiring separation management. The UAV must maintain at least 25 m separation from obstacles and other aircraft, with DAA thresholds set for proximity alerts. Battery reserves are critical, and the mission ends with an emergency landing due to power degradation and fault accumulation.",Continue mission using lidar and IMU for navigation,Ascend to 220 m to avoid moving no-fly zone,Initiate immediate emergency landing at preferred site,"Divert to nearest emergency landing zone, losing mission data",Request ATC override to cross static no-fly zone,Maintain course; thermal cam shows no nearby people,Hover at 180 m until GNSS signal is restored,"[""Continue mission using lidar and IMU for navigation"", ""Ascend to 220 m to avoid moving no-fly zone"", ""Initiate immediate emergency landing at preferred site"", ""Divert to nearest emergency landing zone, losing mission data"", ""Request ATC override to cross static no-fly zone"", ""Maintain course; thermal cam shows no nearby people"", ""Hover at 180 m until GNSS signal is restored""]","The accumulated faults and environmental risks exceed safe operational margins. Continuing or ascending violates emergency hierarchy and could breach no-fly zones or lose control. D prioritizes controlled descent to a safe area, minimizing risk to people and property despite mission loss." 2025-11-01T17:52:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Battery_Emergency_Forced_Landing_in_Volcanic_Zone_with_Icing_274216985ae1_mcq.json,uavbench-mcq-v1,Battery_Emergency_Forced_Landing_in_Volcanic_Zone_with_Icing,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"With 30% battery reserve, 8 m/s winds, and a 1-minute 40% performance loss, which action ensures safe coordination with dynamic obstacles and comms dropouts?","This is a search and rescue mission conducted in a volcanic zone with designated airspace boundaries and challenging weather. The UAV operates within a 10–120 m AGL altitude range inside a rectangular geofenced area. Poor visibility and icing conditions are present, with sustained winds at 8 m/s from 210° and gusts up to 4.5 m/s. A quadrotor UAV equipped with a battery-powered propulsion system and carrying an RGB camera payload conducts the mission. The UAV must avoid two no-fly zones: one static cylinder near the center and another dynamic cylinder moving southwest. An icing event occurs mid-mission, reducing performance by 40% for one minute, increasing power draw and flight risk. The UAV must also maintain separation from other air traffic and a moving spherical obstacle drifting downward in the environment. Battery reserves are critical, with a 30% reserve required and limited energy available for contingency maneuvers. Communication dropouts occur twice during the flight, potentially affecting command and control. The UAV may perform an emergency landing at one of two designated sites if battery or environmental conditions become critical.",Increase speed to bypass moving cylinder early,Descend to 10 m AGL to avoid gusts,Maintain 60 m AGL and resynchronize with swarm GPS,Climb to 120 m AGL for better comms range,Divert to nearest emergency landing site preemptively,Alternate heading to reduce icing exposure,Hover in place until comms restore post-dropout,"[""Increase speed to bypass moving cylinder early"", ""Descend to 10 m AGL to avoid gusts"", ""Maintain 60 m AGL and resynchronize with swarm GPS"", ""Climb to 120 m AGL for better comms range"", ""Divert to nearest emergency landing site preemptively"", ""Alternate heading to reduce icing exposure"", ""Hover in place until comms restore post-dropout""]","Maintaining 60 m AGL balances minimum safe altitude, performance degradation, and obstacle clearance. It preserves energy while enabling swarm position awareness during comms dropouts. This choice sustains coordination with dynamic obstacles and supports decentralized re-planning without violating airspace or battery constraints." 2025-11-01T17:52:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Border_Patrol_Helicopter_in_Foggy_Airport_Perimeter_54e1df5bd9a3_mcq.json,uavbench-mcq-v1,Border_Patrol_Helicopter_in_Foggy_Airport_Perimeter,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During GNSS degradation and communication outages, how should the UAV maintain position integrity and avoid dynamic obstacles at 200m AGL in fog?","The mission is a border patrol conducted by a single battery-powered helicopter UAV around an airport perimeter. The UAV operates within a defined polygonal airspace bounded between 20 and 300 meters AGL. Weather conditions include fog and icing, with poor visibility and increasing wind speeds at higher altitudes. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, supporting surveillance in low-visibility conditions. GNSS signals are degraded due to multipath effects and electromagnetic interference, with brief communication outages. A static no-fly zone surrounds a central area, and a dynamic no-fly zone moves slowly through the airspace. The UAV must avoid a moving obstacle and maintain separation from another UAV on a crossing path. An icing event occurs mid-mission, reducing performance for one minute. The flight begins and ends at a designated point, following a rectangular corridor pattern. Battery endurance and sensor reliability are critical constraints under the adverse environmental and operational conditions.",Rely solely on encrypted GNSS with signal strength monitoring,Switch to LiDAR-aided inertial navigation with authenticated telemetry,Increase control loop frequency using unverified sensor fusion,Transmit unencrypted video to reduce communication latency,Trust thermal camera input exclusively for obstacle detection,Use open-loop timing for corridor navigation during outages,Accept all ground commands without cryptographic verification,"[""Rely solely on encrypted GNSS with signal strength monitoring"", ""Switch to LiDAR-aided inertial navigation with authenticated telemetry"", ""Increase control loop frequency using unverified sensor fusion"", ""Transmit unencrypted video to reduce communication latency"", ""Trust thermal camera input exclusively for obstacle detection"", ""Use open-loop timing for corridor navigation during outages"", ""Accept all ground commands without cryptographic verification""]","B ensures integrity by fusing authenticated LiDAR and inertial data during GNSS denial, maintaining control stability. It resists spoofing and preserves situational awareness. Other options violate encryption, authentication, or sensor resilience requirements under adversarial or fault conditions." 2025-11-01T17:52:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Battery_Emergency_Forced_Landing_in_Volcanic_Zone_with_Lightning_Risk_88436c774098_mcq.json,uavbench-mcq-v1,Battery_Emergency_Forced_Landing_in_Volcanic_Zone_with_Lightning_Risk,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"At 300s, motor fails; battery at 38%. Descend to 40m AGL and divert to Landing Site 2?","This scenario involves a battery emergency forced landing mission for a hexacopter UAV operating in a volcanic zone. The flight takes place within a defined airspace bounded by a polygonal geofence, with a minimum altitude of 10 meters AGL and a maximum of 120 meters. A no-fly zone is present as a cylinder centered at (250, 250) with a 50-meter radius, extending from 10 to 120 meters in altitude. Weather conditions include strong winds at 8.5 m/s from 240 degrees, gusts up to 4.2 m/s, poor visibility, and a lightning risk that threatens flight safety. The UAV is a 5.8 kg hexacopter with a 1450 Wh battery, carrying a 0.7 kg payload equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Critical mission constraints include avoiding the no-fly zone, maintaining separation of at least 25 meters from other traffic, and managing GNSS multipath and jamming risks. A secondary UAV moves through the airspace on a collision course, requiring detect-and-avoid logic, while a moving spherical obstacle drifts near the flight path. Two major faults occur: a GNSS jamming event at 120 seconds lasting 45 seconds, and a permanent motor failure at 300 seconds, reducing redundancy. Communication suffers downlink outages between 120–165 and 300–345 seconds, limiting telemetry feedback. The UAV must reach one of two designated emergency landing sites while navigating faults, obstacles, weather, and communication loss within a 600-second time budget.","Descend immediately to 40m, then proceed to Site 2 avoiding NFZ right.","Climb to 120m for clearance, then route over NFZ center at 120m.","Maintain 100m, delay descent until past 275m easting to avoid multipath.","Descend to 10m now, fly direct at 8 m/s to Site 1 through wind.","Hold 100m, circle 60s for GNSS recovery before any descent.","Divert to Site 1, descending to 30m while tracking upwind of obstacle.","Accelerate to 15 m/s at 90m, cut across NFZ radius 45m to save time.","[""Descend immediately to 40m, then proceed to Site 2 avoiding NFZ right."", ""Climb to 120m for clearance, then route over NFZ center at 120m."", ""Maintain 100m, delay descent until past 275m easting to avoid multipath."", ""Descend to 10m now, fly direct at 8 m/s to Site 1 through wind."", ""Hold 100m, circle 60s for GNSS recovery before any descent."", ""Divert to Site 1, descending to 30m while tracking upwind of obstacle."", ""Accelerate to 15 m/s at 90m, cut across NFZ radius 45m to save time.""]","Option A balances post-fault energy conservation, NFZ avoidance, and wind resilience by descending to efficient cruise altitude and routing safely around the no-fly zone. It respects the 50m NFZ radius, avoids multipath-prone low altitudes until necessary, and acts within communication loss. Other options violate NFZ, use unsafe altitudes, waste energy, or delay critical maneuvers." 2025-11-01T17:52:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Battery_Emergency_Forced_Landing_in_Volcanic_Zone_with_Microburst_Risk_1977e8295a8c_mcq.json,uavbench-mcq-v1,Battery_Emergency_Forced_Landing_in_Volcanic_Zone_with_Microburst_Risk,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 320 seconds, GNSS jamming and uplink loss occur at 150 m AGL with 12 m/s winds. Which action maintains mission integrity?","Solar-powered fixed-wing UAV conducting a survey mission in a volcanic zone with poor visibility and microburst risk. Operating between 10 and 300 meters AGL within a polygonal geofenced area containing static and moving no-fly zones. Equipped with RGB and thermal cameras, relying on GNSS, IMU, and other sensors despite GNSS multipath and electromagnetic interference. Mission includes a corridor flight pattern with five waypoints and requires runway-assisted landing. Wind increases with altitude, shifting direction from 240° to 270° and reaching 15 m/s at 200 meters. Thermal updrafts near (800,600) create localized lift of 2 m/s, adding complexity to flight dynamics. A dynamic no-fly zone drifts at 2.5 m/s toward the southwest, requiring real-time avoidance. Battery degradation is critical, with a fault-induced GNSS jamming event at 320 seconds lasting 45 seconds. Uplink communication is lost during the jamming period, limiting remote control while downlink remains partially functional. An emergency landing may be forced at one of two designated sites due to power or system constraints.",Switch to encrypted inertial navigation with authenticated waypoints,Descend immediately using unencrypted GNSS for faster landing,Hold position via IMU-only control without sensor cross-check,Reboot flight controller to reset jammed GNSS module,Transmit unencrypted distress signal to request remote override,Engage autopilot on last known GNSS fix without integrity check,Ascend to 300 m to escape jamming with open telemetry link,"[""Switch to encrypted inertial navigation with authenticated waypoints"", ""Descend immediately using unencrypted GNSS for faster landing"", ""Hold position via IMU-only control without sensor cross-check"", ""Reboot flight controller to reset jammed GNSS module"", ""Transmit unencrypted distress signal to request remote override"", ""Engage autopilot on last known GNSS fix without integrity check"", ""Ascend to 300 m to escape jamming with open telemetry link""]","A ensures control stability by switching to encrypted inertial navigation, preserving data integrity during jamming. It authenticates waypoints to prevent spoofing, enabling safe corridor reentry. Other options expose communication, lack verification, or increase exposure to wind or spoofing." 2025-11-01T17:52:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Battery_Emergency_Forced_Landing_in_Wind_Farm_under_Low_Visibility_419baa78001d_mcq.json,uavbench-mcq-v1,Battery_Emergency_Forced_Landing_in_Wind_Farm_under_Low_Visibility,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 80 m AGL in 11 m/s gusts with icing, GNSS drifts due to multipath; which navigation mode maintains position integrity during emergency descent?","This scenario involves an inspection mission using an amphibious fixed-wing UAV equipped with RGB and thermal cameras, LIDAR, radar, and full navigation sensors. The flight occurs within a wind farm located in poor visibility with icing conditions and moderate wind gusts up to 11 m/s at higher altitudes. The UAV operates between 0 and 120 meters AGL within a defined polygonal airspace containing a static no-fly zone around a turbine and a moving restricted zone near the flight path. Critical constraints include GNSS multipath interference, electromagnetic noise, and temporary communication dropouts. A battery emergency is triggered mid-mission due to an icing event that increases drag and power consumption. The UAV must navigate around dynamic obstacles including a drifting exclusion zone and a moving sphere representing turbine blade sweep. Traffic conflict is present with another UAV approaching head-on, requiring DAA compliance with 25-meter separation. Forced landing options are limited to designated emergency sites due to geofencing and the need for runway-aligned approach. The UAV transitions between VTOL and forward flight modes during the mission, with limited time and battery reserves. Icing and wind shear from thermal plumes further challenge stability and endurance during the emergency descent.",Rely solely on GNSS with last known fix,Switch to LIDAR-only terrain matching,Use radar and IMU sensor fusion,Depend on thermal camera for obstacle lock,Activate RGB optical flow stabilization,Follow magnetic heading with compass,Descend using barometer-only altitude hold,"[""Rely solely on GNSS with last known fix"", ""Switch to LIDAR-only terrain matching"", ""Use radar and IMU sensor fusion"", ""Depend on thermal camera for obstacle lock"", ""Activate RGB optical flow stabilization"", ""Follow magnetic heading with compass"", ""Descend using barometer-only altitude hold""]","Radar penetrates fog and provides range data unaffected by GNSS multipath or visual obscurants, while IMU bridges communication dropouts. Fusing radar with IMU maintains drift-free navigation during icing-induced GNSS degradation. Other sensors fail due to occlusion, calibration drift, or environmental interference." 2025-11-01T17:52:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Border_Patrol_Swarm_Drone_Mission_in_Powerline_Corridor_with_Gusts_2d27ec7ed400_mcq.json,uavbench-mcq-v1,Border_Patrol_Swarm_Drone_Mission_in_Powerline_Corridor_with_Gusts,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"With GNSS jamming at -85 dBm and winds at 8 m/s, how should drones maintain position and swarm separation?","This is a border patrol inspection mission using a swarm of five drones operating within a powerline corridor. The airspace is defined by a fixed polygon geofence with a minimum altitude of 30 meters AGL and a maximum of 150 meters AGL. Weather includes strong winds at 8 m/s from 240 degrees with gusts up to 4.5 m/s, increasing with altitude. The UAVs are multirotor swarm drones equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Each drone carries a 0.3 kg payload and relies on battery power with a 650 Wh capacity and 30% reserve. Notable constraints include a static no-fly zone near the center and a moving no-fly cylinder drifting at 2.5 m/s. GNSS signals are degraded by multipath effects and interference with a jamming level of -85 dBm. The mission requires maintaining at least 25 meters separation between UAVs and avoiding dynamic obstacles like a moving sphere. Operations are further challenged by electromagnetic interference and brief communication downlink losses between steps 450 and 460. The mission must be completed within 600 seconds while navigating wind gradients and thermal updrafts.",Rely solely on GNSS with averaging filters,Switch to pure visual-inertial odometry,Use LiDAR-only for altitude and obstacle avoidance,"Fuse IMU, LiDAR, and optical flow with thermal assist",Descend to 25 meters AGL to reduce wind effects,Increase separation to 40 meters using degraded GNSS,Halt swarm and hover using barometric pressure,"[""Rely solely on GNSS with averaging filters"", ""Switch to pure visual-inertial odometry"", ""Use LiDAR-only for altitude and obstacle avoidance"", ""Fuse IMU, LiDAR, and optical flow with thermal assist"", ""Descend to 25 meters AGL to reduce wind effects"", ""Increase separation to 40 meters using degraded GNSS"", ""Halt swarm and hover using barometric pressure""]","GNSS jamming at -85 dBm necessitates fallback to non-GNSS sensors. Fusing IMU, LiDAR, and optical flow ensures resilience against wind and multipath, while thermal data aids in dynamic obstacle detection. This integration maintains navigation integrity and swarm separation within environmental constraints." 2025-11-01T17:52:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Border_Patrol_Hexacopter_Mission_in_Wind_Farm_5b9962071518_mcq.json,uavbench-mcq-v1,Border_Patrol_Hexacopter_Mission_in_Wind_Farm,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 20 m AGL with 6.5 m/s wind from 240°, what airspeed balances lift, drag, and gust tolerance for stable LiDAR scanning?","This is an inspection mission using a hexacopter equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs in a wind farm environment with moderate winds at 6.5 m/s from 240 degrees and occasional gusts. The UAV must navigate within a defined corridor between 20 and 150 meters AGL, avoiding a cylindrical no-fly zone centered at (300, 250) with a 40-meter radius. The mission involves visiting five waypoints in a rectangular pattern before approaching the center point near the restricted zone. A second UAV is present, moving westward at 10 m/s, requiring separation management. A moving spherical obstacle drifts leftward at 2 m/s near the central waypoint. The hexacopter has a 450 Wh battery and must complete the mission within 600 seconds while maintaining safe separation of at least 25 meters and a time-to-closest-approach threshold of 15 seconds. GNSS signals may suffer multipath interference due to turbine structures. The UAV spawns at (50, 50, 50) and is expected to land back near its starting point. Key constraints include battery reserve requirements, geofence compliance, and maintaining line-of-sight communication.",Fly at 8 m/s to minimize power use,Fly at 12 m/s with zero pitch,"Fly at 14 m/s, 5° angle of attack",Fly at 6 m/s to reduce wind drift,"Fly at 16 m/s, 8° angle of attack","Fly at 10 m/s, 3° nose down",Fly at 18 m/s to outrun gusts,"[""Fly at 8 m/s to minimize power use"", ""Fly at 12 m/s with zero pitch"", ""Fly at 14 m/s, 5° angle of attack"", ""Fly at 6 m/s to reduce wind drift"", ""Fly at 16 m/s, 8° angle of attack"", ""Fly at 10 m/s, 3° nose down"", ""Fly at 18 m/s to outrun gusts""]","At 20 m AGL, reduced air density and wind shear increase stall risk. A 14 m/s airspeed with 5° angle of attack generates sufficient lift while keeping induced drag low and margin above stall. This setting ensures stable hover-like performance under gusts and maintains control authority near the no-fly zone." 2025-11-01T17:52:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Battery_Emergency_Forced_Landing_in_Wind_Farm_under_Low_Visibility_efc1476627dc_mcq.json,uavbench-mcq-v1,Battery_Emergency_Forced_Landing_in_Wind_Farm_under_Low_Visibility,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Given 600-second mission limit, icing at 320s, and GNSS jamming at 480s, which strategy maximizes inspection completion within battery and corridor constraints?","This scenario involves an inspection mission using a battery-powered convertiplane UAV equipped with lidar, radar, and RGB camera. The flight occurs in a wind farm environment with poor visibility and icing conditions, under strong and gusty westerly winds that increase with altitude. The UAV must navigate within a defined corridor between 5 and 150 meters AGL, avoiding static and moving no-fly zones, including a dynamic obstacle and a drifting no-fly cylinder. Notable constraints include GNSS multipath, moderate jamming, electromagnetic interference, and temporary downlink loss. The mission begins with a standard spawn and requires runway-assisted transitions, with preferred and emergency landing sites available. Two fault events occur: an icing event at 320 seconds affecting aerodynamics, followed by a severe GNSS jamming event at 480 seconds. Air traffic includes a conflicting UAV moving westward through the airspace. The UAV must complete its waypoint corridor within 600 seconds while managing battery reserve and maintaining separation from obstacles and other traffic. Thermal updrafts near the wind turbines may influence local flight dynamics. Success depends on safe navigation, fault resilience, and adherence to airspace and performance limits.",Fly highest altitude early to avoid turbulence and save power,Reduce lidar frame rate at 300s and reroute eastward around turbine updrafts,Maintain full sensor suite active throughout to ensure data quality,Climb above 150m AGL to escape icing and improve GNSS signal,Descend to 5m AGL after 480s to use visual odometry and save power,Increase speed to waypoint delta by 20% at 400s to finish early,Switch to radar-only mode at 320s and follow downwind trajectory westward,"[""Fly highest altitude early to avoid turbulence and save power"", ""Reduce lidar frame rate at 300s and reroute eastward around turbine updrafts"", ""Maintain full sensor suite active throughout to ensure data quality"", ""Climb above 150m AGL to escape icing and improve GNSS signal"", ""Descend to 5m AGL after 480s to use visual odometry and save power"", ""Increase speed to waypoint delta by 20% at 400s to finish early"", ""Switch to radar-only mode at 320s and follow downwind trajectory westward""]","Reducing lidar power at 300s conserves battery while rerouting east avoids both updraft-induced drag and the conflicting westbound UAV. This balances sensor load, wind resistance, and trajectory efficiency under fault conditions, ensuring timely mission completion within energy and spatial limits." 2025-11-01T17:52:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Border_Patrol_in_Volcanic_Zone_with_Hail_cb9d01417db9_mcq.json,uavbench-mcq-v1,Border_Patrol_in_Volcanic_Zone_with_Hail,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During GNSS jamming and 15 m/s winds, how should the UAV maintain position with LiDAR and encrypted C2 links?","This is a border patrol survey mission in a volcanic zone with hazardous weather conditions. The UAV operates within a defined polygonal airspace between 30 and 250 meters AGL. Strong winds up to 15 m/s increase with altitude and shift direction, compounded by gusts, hail, and icing conditions. The octocopter UAV carries RGB and thermal cameras, LiDAR, and standard navigation sensors. GNSS signals suffer from multipath errors and moderate jamming, while electromagnetic interference affects systems. A static no-fly zone blocks the central area, and a moving no-fly zone drifts through the domain. A second UAV and a moving spherical obstacle require real-time separation management. The UAV must maintain at least 50 meters separation and 30 seconds time-to-closest-approach. An icing fault event reduces performance for one minute during the mission. Communication dropouts occur briefly at two intervals, testing data resilience.",Rely solely on GNSS with signal amplification,Switch to optical flow and IMU with terrain matching,Use unencrypted backup radio for faster response,Hover using propeller feedback without sensor input,Follow last known GPS coordinate with dead reckoning,Transmit unauthenticated control commands to reduce latency,Descend to 20 m AGL to avoid wind and jamming,"[""Rely solely on GNSS with signal amplification"", ""Switch to optical flow and IMU with terrain matching"", ""Use unencrypted backup radio for faster response"", ""Hover using propeller feedback without sensor input"", ""Follow last known GPS coordinate with dead reckoning"", ""Transmit unauthenticated control commands to reduce latency"", ""Descend to 20 m AGL to avoid wind and jamming""]","B ensures integrity and availability by fusing trusted onboard sensors and avoiding reliance on compromised GNSS. It maintains control stability through terrain-referenced navigation while preserving encrypted, authenticated communication. Other options expose the UAV to spoofing, loss of separation, or unauthorized control." 2025-11-01T17:52:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_FixedWing_ThermalUpdrafts_efbdb85b7f0d_mcq.json,uavbench-mcq-v1,Bridge_Inspection_FixedWing_ThermalUpdrafts,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,How should two UAVs coordinate near thermal updrafts at 6.5 m/s wind from 240° while inspecting the bridge under GNSS interference?,"Fixed-wing UAV conducts bridge inspection in dense urban airspace. Mission involves flying a corridor pattern with multiple waypoints near infrastructure. Weather includes moderate winds at 6.5 m/s from 240° and strong thermal updrafts. Thermal plumes at two locations provide lift, potentially aiding energy efficiency. UAV equipped with RGB and thermal cameras, plus LiDAR for structural inspection. GNSS multipath and electromagnetic interference challenge navigation accuracy. A no-fly zone protects a restricted area near the bridge structure. A second dynamic no-fly zone moves slowly through the airspace. UAV must maintain separation from moving obstacles and other traffic. Runway-assisted takeoff and landing are required within confined space.",Both UAVs circle the same thermal to maximize lift and camera coverage,One UAV uses thermal lift while the other maintains position upwind for comms relay,Both ascend rapidly through thermals to minimize wind drift exposure,UAVs merge flight paths to share LiDAR and RGB data in real time,"Each UAV independently selects thermals, prioritizing battery over coordination",UAVs delay inspection until thermals stabilize and wind decreases,One UAV enters no-fly zone briefly to avoid turbulence near thermal edge,"[""Both UAVs circle the same thermal to maximize lift and camera coverage"", ""One UAV uses thermal lift while the other maintains position upwind for comms relay"", ""Both ascend rapidly through thermals to minimize wind drift exposure"", ""UAVs merge flight paths to share LiDAR and RGB data in real time"", ""Each UAV independently selects thermals, prioritizing battery over coordination"", ""UAVs delay inspection until thermals stabilize and wind decreases"", ""One UAV enters no-fly zone briefly to avoid turbulence near thermal edge""]","B ensures energy-efficient flight via thermal use while maintaining communication resilience through upwind positioning. It balances load distribution and situational awareness under GNSS degradation. Other options risk interference, collision, or loss of coordination by violating spacing, no-fly rules, or decentralized task coherence." 2025-11-01T17:52:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Facade_Inspection_under_Strong_Crosswind_c1d4885d3e3a_mcq.json,uavbench-mcq-v1,Bridge_Facade_Inspection_under_Strong_Crosswind,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which system ensures bridge inspection under 8.5 m/s winds, GNSS denial, and 600-second flight limit with 30% battery reserve?","This mission involves a quadrotor UAV conducting a bridge facade inspection in a constrained urban airspace. The flight occurs near a large bridge structure with a defined polygonal geofence and multiple no-fly zones, including a static cylinder and a moving restricted zone. Weather conditions feature strong 8.5 m/s crosswinds from 240 degrees with gusts up to 4.2 m/s, challenging flight stability. The UAV is equipped with a visual camera, LiDAR, and standard navigation sensors but lacks thermal imaging. It must follow a corridor-style waypoint path along the bridge at varying altitudes between 15 and 45 meters AGL. A nearby dynamic obstacle moves through the area, requiring real-time avoidance, and another UAV is present on a crossing trajectory. The quadrotor must maintain separation of at least 10 meters from traffic and avoid GNSS-denied areas near the bridge structure that may cause signal multipath. Battery endurance is limited, with a 30% reserve required and a strict 600-second mission time budget. Key constraints include avoiding NFZ breaches, maintaining line-of-sight comms, and completing the inspection without collisions or low-altitude violations. The UAV spawns at one end of the bridge and is expected to return to a designated landing site after completing the route.",Lightweight camera-only drone with 25 min endurance,Fixed-wing UAV with long range but poor hover capability,"Quadrotor with LiDAR, wind-resistant control, and energy-aware planning",Thermal-equipped octocopter exceeding mission time limit,GNSS-dependent drone with high-speed trajectory tracking,Manual-controlled UAV bypassing dynamic obstacle detection,"Low-cost drone without LiDAR, ignoring no-fly zones","[""Lightweight camera-only drone with 25 min endurance"", ""Fixed-wing UAV with long range but poor hover capability"", ""Quadrotor with LiDAR, wind-resistant control, and energy-aware planning"", ""Thermal-equipped octocopter exceeding mission time limit"", ""GNSS-dependent drone with high-speed trajectory tracking"", ""Manual-controlled UAV bypassing dynamic obstacle detection"", ""Low-cost drone without LiDAR, ignoring no-fly zones""]","System C balances wind resilience, sensor compatibility, and energy efficiency within the 600-second budget. It uses LiDAR for GNSS-denied navigation and adaptive path planning for dynamic obstacles. Other systems fail in endurance, environmental adaptability, or critical safety constraints." 2025-11-01T17:52:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_Survey_with_Heavy_Lift_UAV_66ae93601499_mcq.json,uavbench-mcq-v1,Bridge_Inspection_Survey_with_Heavy_Lift_UAV,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"At 102 s into the mission, during a 3-second comms outage, how should the UAV respond while approaching the 40 m static obstacle?","This is a bridge inspection survey mission using a heavy-lift UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place in a designated bridge site airspace with a defined geofence and a cylindrical no-fly zone around a critical structure. Weather conditions include moderate winds from 240 degrees at 8.5 m/s with gusts up to 4 m/s, but visibility is good. The UAV has a total mass of 33.5 kg including a 5 kg payload and relies on battery power with an 8500 Wh capacity and 30% reserve. Flight is constrained between 10 m and 120 m AGL, following a corridor survey pattern through five waypoints, avoiding the central no-fly cylinder. A static obstacle is present near the center of the site at 40 m altitude, requiring precise navigation. The UAV must maintain a minimum separation of 25 m and 15 s time-to-collision threshold for detect-and-avoid compliance. Communication experiences brief downlink outages between 100–105 s and 400–408 s into the mission. The flight begins from a fixed spawn point and must conclude at a preferred landing site, with an emergency option available nearby.",Continue at same speed and altitude using last known telemetry,Descend to 15 m AGL to avoid obstacle and maintain survey timing,Hold position at 50 m until communication is re-established,Ascend to 120 m AGL to clear obstacle and resume path,Turn 90° right and reroute around obstacle outside survey corridor,Reduce speed by 50% and activate obstacle avoidance sensors,Execute emergency landing at preferred site immediately,"[""Continue at same speed and altitude using last known telemetry"", ""Descend to 15 m AGL to avoid obstacle and maintain survey timing"", ""Hold position at 50 m until communication is re-established"", ""Ascend to 120 m AGL to clear obstacle and resume path"", ""Turn 90° right and reroute around obstacle outside survey corridor"", ""Reduce speed by 50% and activate obstacle avoidance sensors"", ""Execute emergency landing at preferred site immediately""]","Reducing speed allows safe sensor-based navigation during the comms outage while preserving mission continuity. It maintains the survey corridor and respects the 25 m separation and 15 s time-to-collision rule. Other options either violate flight constraints, abandon coordination logic, or waste energy/resources." 2025-11-01T17:52:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_Glider_WindFarm_8184dd241e55_mcq.json,uavbench-mcq-v1,Bridge_Inspection_Glider_WindFarm,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 500 s, microburst hits; wind increases to 13.5 m/s from 240°. How should the glider respond to maintain control and safety?","This is a bridge inspection mission using a fixed-wing glider UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs in a wind farm environment with structured airspace between 10 m and 120 m AGL, bounded by a polygonal geofence. Weather includes strong winds at 8.5 m/s from 240°, increasing with altitude up to 13.5 m/s, along with wind shear and a risk of microbursts. The UAV must avoid two no-fly zones: one static cylinder near the bridge and a moving cylindrical obstacle drifting slowly. A second UAV and a horizontally oscillating spherical obstacle add dynamic traffic complexity. GNSS multipath effects and electromagnetic interference are present, with a planned GNSS jamming fault lasting 45 seconds and a high-severity microburst event at 500 seconds. Communication dropouts are expected between 280–310 s and 510–525 s, challenging command and telemetry links. The mission follows a corridor pattern with four waypoints, requiring precise navigation under energy constraints and a 10-minute time budget. The glider must maintain safe separation, avoid stalls, and land at a preferred site while managing battery reserves and fault conditions.",Climb to 120 m to avoid turbulence and reset navigation,Descend to 10 m AGL for wind stability and ground clearance,Turn 90° right to exit shear zone and increase airspeed,Maintain heading and altitude using full elevator deflection,Enter holding pattern at reduced airspeed to wait out event,"Head directly to landing site, gliding downwind rapidly","Adjust pitch and bank to track relative wind, glide at best L/D","[""Climb to 120 m to avoid turbulence and reset navigation"", ""Descend to 10 m AGL for wind stability and ground clearance"", ""Turn 90° right to exit shear zone and increase airspeed"", ""Maintain heading and altitude using full elevator deflection"", ""Enter holding pattern at reduced airspeed to wait out event"", ""Head directly to landing site, gliding downwind rapidly"", ""Adjust pitch and bank to track relative wind, glide at best L/D""]","G balances aerodynamic stability, energy conservation, and trajectory control by aligning with the wind vector and optimizing lift-to-drag ratio. It avoids stall risk during downdrafts while preserving battery and staying within geofence. Other options either increase stall risk, waste energy, or violate separation and navigation constraints under GNSS faults." 2025-11-01T17:52:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_Sandstorm_HAPS_418460a08dd7_mcq.json,uavbench-mcq-v1,Bridge_Inspection_Sandstorm_HAPS,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"At 250s, GNSS jamming begins; UAV must maintain 50m separation from intruder and dynamic obstacle while corridor tracking.","This is a bridge inspection mission using a high-altitude pseudo-satellite (HAPS) UAV in a rural airspace. The UAV operates between 100 and 1200 meters AGL within a defined polygonal geofence. A sandstorm is present, reducing visibility and increasing wind gusts up to 7 m/s, with surface winds at 12 m/s from 240 degrees and increasing with altitude. The UAV is equipped with a comprehensive sensor suite including GNSS, IMU, camera (RGB and thermal), LiDAR, and radar, supporting inspection tasks under harsh conditions. A critical no-fly zone is located near the bridge at (1500, 500), with an additional dynamic no-fly zone moving through the area. The mission follows a corridor flight pattern along waypoints at varying altitudes, requiring precise navigation and energy management over a 600-second time budget. GNSS jamming is expected between 240 and 285 seconds, coinciding with communication downlink loss and electromagnetic interference. A single intruder UAV and a moving spherical obstacle pose collision risks, requiring adherence to 50-meter separation thresholds. The HAPS must manage battery reserves carefully, with a 30% reserve required and high hover power consumption under strong headwinds. The UAV spawns at (500, 1000, 900) and must return to a preferred landing site, with an emergency option available.",Descend to 100m to avoid jamming and reduce wind resistance,Continue corridor pattern using IMU and radar for navigation,Hover at current position until GNSS resumes at 285s,Climb to 1200m for clearer signals and obstacle visibility,Abort mission and return to emergency landing site immediately,Fly direct to next waypoint using camera-only terrain matching,Match speed with intruder UAV to minimize collision risk,"[""Descend to 100m to avoid jamming and reduce wind resistance"", ""Continue corridor pattern using IMU and radar for navigation"", ""Hover at current position until GNSS resumes at 285s"", ""Climb to 1200m for clearer signals and obstacle visibility"", ""Abort mission and return to emergency landing site immediately"", ""Fly direct to next waypoint using camera-only terrain matching"", ""Match speed with intruder UAV to minimize collision risk""]","IMU and radar enable resilient navigation during GNSS/comm loss while maintaining corridor progress. This ensures task continuity and respects 50m separation via radar tracking. Other options waste time, increase risk, or violate energy/coverage constraints." 2025-11-01T17:52:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Facade_Inspection_in_Sandstorm_ba563edabe8a_mcq.json,uavbench-mcq-v1,Bridge_Facade_Inspection_in_Sandstorm,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 130s into the mission, winds are 18 m/s at 120m altitude with GNSS/comm loss; how should the convertiplane adjust lift and thrust to maintain inspection path?","This UAV mission involves inspecting a bridge facade in a sandstorm near a designated bridge site. The airspace is restricted to a 200m x 150m polygon with a low-altitude cylinder no-fly zone near the center. A convertiplane UAV equipped with RGB camera, LiDAR, and radar is used, carrying a 1.2kg payload. The environment features strong winds up to 18 m/s increasing with altitude, poor visibility due to sandstorm, and moderate GNSS jamming at -75 dBm. The UAV must maintain separation from a moving obstacle oscillating near the bridge and avoid a nearby traffic UAV approaching from outside the zone. GNSS signal degradation occurs between 120–165 seconds into the mission, requiring robust navigation. The UAV must follow a corridor inspection pattern within a 10-minute time limit and land using a designated runway aligned to heading 270°. Uplink communication is intermittently lost during the same period as GNSS jamming, limiting remote control. The flight is constrained by energy limits with a 30% battery reserve requirement and aerodynamic challenges from high wind shear. Mission success depends on maintaining safe separation, avoiding NFZs, and completing the route despite environmental and system stresses.",Increase angle of attack to 15° and reduce rotor RPM by 20%,Decrease pitch attitude and increase forward thrust by 30%,Bank 45° into wind while maintaining current airspeed,Transition to fixed-wing mode with 10° nose-up elevation,Hover with zero airspeed using GPS stabilization,Descend at 5 m/s with 8° angle of attack and full thrust,Match wind speed with 12° angle of attack and balanced lift-thrust,"[""Increase angle of attack to 15° and reduce rotor RPM by 20%"", ""Decrease pitch attitude and increase forward thrust by 30%"", ""Bank 45° into wind while maintaining current airspeed"", ""Transition to fixed-wing mode with 10° nose-up elevation"", ""Hover with zero airspeed using GPS stabilization"", ""Descend at 5 m/s with 8° angle of attack and full thrust"", ""Match wind speed with 12° angle of attack and balanced lift-thrust""]","Matching wind speed reduces relative airspeed, minimizing drag and control surface stress while maintaining lift. A 12° angle of attack sustains lift without nearing stall under sand-loaded airflow. Balanced thrust prevents sideslip or divergence in low-visibility wind shear, ensuring path adherence during GNSS/comm loss." 2025-11-01T17:52:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_at_Airport_Perimeter_under_Icing_Conditions_578b44d48605_mcq.json,uavbench-mcq-v1,Bridge_Inspection_at_Airport_Perimeter_under_Icing_Conditions,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 300 seconds, icing reduces performance; UAV must inspect bridge at 20–150 m AGL, 30% battery reserve, near airport with 240° winds.","This mission involves a bridge inspection near an airport perimeter using a convertiplane UAV equipped with RGB and thermal cameras, LiDAR, and radar. The aircraft operates within a defined airspace corridor between 20 and 150 meters AGL, bounded by a polygonal geofence. A critical no-fly zone, cylindrical in shape, is located near the center of the area, requiring careful navigation. The environment features poor visibility and icing conditions, with moderate winds from 240 degrees and gusts adding complexity. The UAV must follow a corridor-style waypoint path while maintaining separation from a moving obstacle and potential traffic. A key constraint is the requirement to use the runway for operations, with a transition from hover to forward flight planned. The mission includes an icing fault event at 300 seconds, reducing performance for two minutes, and a brief comms loss window. Battery reserves are set at 30%, and energy consumption is closely monitored due to high hover demand and aerodynamic drag. GNSS multipath risks are present near structures, and the UAV must avoid breaching separation thresholds with nearby traffic. Success depends on completing the inspection within the time budget while avoiding collisions, NFZ breaches, and system failures.",Descend to 15 m AGL to reduce wind exposure and save power,Climb to 160 m AGL for smoother air and better GNSS reception,"Maintain 25 m AGL, reduce speed to conserve energy and control stability",Hover in place for 90 seconds to wait out the icing event,Accelerate to forward flight immediately to minimize hover drain,Exit geofence early to preserve battery and avoid radar conflict,Turn 90° toward runway to prepare for emergency landing,"[""Descend to 15 m AGL to reduce wind exposure and save power"", ""Climb to 160 m AGL for smoother air and better GNSS reception"", ""Maintain 25 m AGL, reduce speed to conserve energy and control stability"", ""Hover in place for 90 seconds to wait out the icing event"", ""Accelerate to forward flight immediately to minimize hover drain"", ""Exit geofence early to preserve battery and avoid radar conflict"", ""Turn 90° toward runway to prepare for emergency landing""]","Maintaining 25 m AGL respects the 20–150 m corridor while avoiding NFZ and traffic separation breaches. Reducing speed balances energy conservation with control authority during icing, preserving stability and mission completion. Other options violate altitude limits, waste energy, or compromise safety or navigation in multipath-heavy areas." 2025-11-01T17:52:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Fog_by_Convertiplane_Swarm_2d24dbb8066e_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Fog_by_Convertiplane_Swarm,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 270s, UAV-2 detects icing onset at 120m AGL in moderate wind; 30s to critical ice. Return or continue?","This is a bridge inspection mission conducted by a swarm of four convertiplane UAVs in a designated bridge site airspace. The environment features poor visibility due to fog and potential icing conditions, with moderate wind increasing with altitude and variable direction. Each UAV is equipped with sensors including GNSS, IMU, lidar, radar, and RGB camera, but operates under GNSS multipath and electromagnetic interference. The convertiplanes have combined fixed-wing and multirotor capabilities, allowing efficient transit and precise maneuvering during inspection tasks. The mission involves navigating a predefined corridor pattern around the bridge structure while avoiding static and dynamic no-fly zones. A moving obstacle and a dynamically shifting no-fly zone add complexity, requiring real-time path adjustments. The swarm must maintain minimum separation of 25 meters between units and comply with detect-and-avoid thresholds. Adverse weather includes wind gusts and an icing event fault programmed at 280 seconds, affecting performance. Communication experiences brief downlink losses, and the UAVs must return safely using a runway-assisted landing within the 600-second time budget.",Descend to 90m AGL and continue inspection,Climb to 150m for smoother airflow,Divert immediately toward runway approach path,Hold position at 120m until swarm alignment,Accelerate through corridor to finish early,Ascend to 200m to avoid terrain multipath,Turn back but delay descent for 20 seconds,"[""Descend to 90m AGL and continue inspection"", ""Climb to 150m for smoother airflow"", ""Divert immediately toward runway approach path"", ""Hold position at 120m until swarm alignment"", ""Accelerate through corridor to finish early"", ""Ascend to 200m to avoid terrain multipath"", ""Turn back but delay descent for 20 seconds""]","Icing at 120m AGL with 30s to critical accumulation demands immediate egress. Continuing or ascending increases exposure to performance loss. Diverting immediately to the runway approach path ensures timely, controlled landing within endurance and avoids compounding GNSS multipath at higher altitudes." 2025-11-01T17:52:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Cold_Weather_Using_Glider_edc74a8cb368_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Cold_Weather_Using_Glider,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"At 170m AGL, strong winds and icing detected; UAV must inspect below 180m AGL within polygon, avoid dynamic NFZ, and manage degraded GNSS.","This scenario involves a bridge inspection mission conducted by a fixed-wing glider UAV equipped with RGB and thermal cameras, as well as LiDAR, in a powerline corridor. The flight occurs in cold weather with icing conditions present, posing risks to aerodynamic performance. Winds are strong and variable, increasing with altitude, and thermal updrafts are localized within the area. The glider must operate between 10 and 180 meters AGL within a defined polygonal geofence, avoiding static and moving no-fly zones, including a dynamic obstacle. GNSS signals are degraded due to multipath effects and electromagnetic interference, complicating navigation. The mission includes waypoint navigation in a corridor pattern with time-critical constraints and requires precise energy management due to battery-powered flight. A second UAV is present in the airspace, requiring separation maintenance to meet DAA thresholds. Communication links experience intermittent outages, and an icing fault event temporarily reduces performance mid-mission. The UAV must avoid stalls, especially during low-speed inspection phases, and land at a preferred site if possible. Success depends on navigating environmental hazards, avoiding collisions, and completing the inspection within battery and operational limits.",Descend to 100m AGL and continue inspection westward,Climb to 200m AGL for smoother air and better GNSS,Turn east toward thermal updrafts to gain altitude,Dive to 10m AGL to escape icing layer immediately,"Hold level at 170m AGL, delay inspection until winds drop",Divert south to land at alternate site avoiding NFZ,Accelerate and maintain course through current altitude,"[""Descend to 100m AGL and continue inspection westward"", ""Climb to 200m AGL for smoother air and better GNSS"", ""Turn east toward thermal updrafts to gain altitude"", ""Dive to 10m AGL to escape icing layer immediately"", ""Hold level at 170m AGL, delay inspection until winds drop"", ""Divert south to land at alternate site avoiding NFZ"", ""Accelerate and maintain course through current altitude""]",Descending to 100m AGL remains within the 10–180m AGL operational band and reduces exposure to stronger winds and icing at higher altitudes. It avoids GNSS degradation near the corridor edges while maintaining separation from the dynamic NFZ and preserving energy for mission completion. 2025-11-01T17:52:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_Under_Icing_Conditions_with_Moving_NFZ_b03959be684e_mcq.json,uavbench-mcq-v1,Bridge_Inspection_Under_Icing_Conditions_with_Moving_NFZ,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which system ensures safe bridge inspection under 6.5 m/s winds, icing, GNSS degradation, and a moving 2.5 m/s no-fly zone within 600 s?","This is a bridge inspection mission conducted in a designated bridge site airspace with restricted vertical and lateral boundaries. The UAV is a quadrotor equipped with a visual camera, lidar, and standard navigation sensors, carrying a 0.3 kg payload. Weather conditions include poor visibility, 6.5 m/s winds from 240 degrees with gusts, and an icing risk that activates mid-mission. A dynamic no-fly zone moves through the airspace at 2.5 m/s, requiring real-time path adjustments. The UAV must maintain separation from a second UAV flying through the area and avoid a moving spherical obstacle near the bridge structure. GNSS signals are degraded due to multipath effects and moderate jamming, complicating positioning accuracy. The mission follows a corridor inspection pattern with five waypoints, requiring precise navigation below 120 m AGL and above 5 m AGL. Battery reserves are set to 30%, and flight time is limited to 600 seconds, demanding efficient routing. Icing conditions introduce aerodynamic degradation, and communication dropouts occur at 200 and 450 seconds. The UAV must complete the inspection while avoiding geofence breaches, NFZ violations, and collisions, with data logged for separation, battery, and fault metrics.",Standard PID controller with GNSS-only navigation,Vision-only SLAM with 30% battery reserve,Dual-redundant IMU with ice-resistant prop coating,"Lidar-aided EKF fusing lidar, IMU, and camera data",Pre-planned route ignoring dynamic no-fly zone,"High-gain camera stabilization, no wind compensation",Single IMU with magnetic heading fallback,"[""Standard PID controller with GNSS-only navigation"", ""Vision-only SLAM with 30% battery reserve"", ""Dual-redundant IMU with ice-resistant prop coating"", ""Lidar-aided EKF fusing lidar, IMU, and camera data"", ""Pre-planned route ignoring dynamic no-fly zone"", ""High-gain camera stabilization, no wind compensation"", ""Single IMU with magnetic heading fallback""]",Lidar-aided EKF provides robust positioning despite GNSS degradation and multipath. It enables real-time path updates around the moving NFZ and obstacle. Fusing multiple sensors ensures fault tolerance during communication dropouts and icing-induced aerodynamic losses. 2025-11-01T17:52:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Foggy_Wind_Farm_5b81f0feff63_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Foggy_Wind_Farm,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 80 m AGL, 8.5 m/s headwind increasing with altitude, how should pitch and airspeed be managed to conserve battery and avoid stall during climb?","This is a bridge inspection mission conducted within a wind farm environment. The UAV operates under poor visibility and icing conditions with moderate fog and wind speeds up to 8.5 m/s increasing with altitude. A hexacopter equipped with RGB and thermal cameras, LiDAR, and full navigation sensors is used for detailed structural imaging. The flight occurs between 5 and 120 meters AGL, confined by a polygonal geofence and two no-fly zones, one static and one moving. GNSS signals are degraded due to multipath effects and electromagnetic interference, complicating navigation accuracy. The UAV must avoid a dynamic no-fly zone and a moving spherical obstacle while sharing airspace with another UAV on a crossing path. Battery endurance is critical, with a reserve fraction of 30% and limited by wind resistance and potential icing impacts. An icing event fault is simulated at 250 seconds, reducing performance for one minute. Communication experiences brief downlink outages, and the mission must complete within 600 seconds while maintaining safe separation and staying within operational constraints.","Increase pitch to 12°, reduce airspeed to 10 m/s for lower drag","Maintain 8° pitch, increase airspeed to 18 m/s for better lift margin","Decrease pitch to 4°, fly at 14 m/s to minimize induced drag","Hold 10° pitch, reduce throttle to save battery despite lower lift","Increase pitch to 15°, maintain 12 m/s to maximize climb efficiency","Fly at zero pitch, accelerate to 20 m/s to outrun wind shear effects","Reduce airspeed to 8 m/s, increase pitch to 14° to stay within geofence","[""Increase pitch to 12°, reduce airspeed to 10 m/s for lower drag"", ""Maintain 8° pitch, increase airspeed to 18 m/s for better lift margin"", ""Decrease pitch to 4°, fly at 14 m/s to minimize induced drag"", ""Hold 10° pitch, reduce throttle to save battery despite lower lift"", ""Increase pitch to 15°, maintain 12 m/s to maximize climb efficiency"", ""Fly at zero pitch, accelerate to 20 m/s to outrun wind shear effects"", ""Reduce airspeed to 8 m/s, increase pitch to 14° to stay within geofence""]","Decreasing pitch to 4° at 14 m/s optimizes lift-to-drag ratio, reducing power demand under headwind shear. Lower angle of attack prevents boundary layer separation exacerbated by icing, preserving lift. This balances climb needs with battery constraints while avoiding high-speed drag or stall risk." 2025-11-01T17:52:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Foggy_Warehouse_Airspace_8ffb7a3d6e84_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Foggy_Warehouse_Airspace,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"Given 30% battery reserve, 600s mission limit, and 3 m/s wind, which strategy maximizes inspection completeness while ensuring return?","This is a bridge inspection mission conducted indoors within a warehouse environment. The airspace is confined, with a maximum altitude of 15 meters AGL and a geofenced rectangular area spanning 40x30 meters. Conditions include poor visibility due to fog and a 3 m/s wind from the south, with gusts up to 2 m/s. A VTOL tiltrotor UAV equipped with RGB camera and LiDAR payload is used for visual data collection. The UAV operates on battery power with a reserve margin of 30% and faces GNSS signal multipath and electromagnetic interference. There are two no-fly zones: one static cylinder near the center and another dynamic cylinder moving diagonally across the space. A moving spherical obstacle drifts downward along the y-axis, requiring real-time avoidance. Air traffic includes a single intruder UAV entering from the north boundary, traveling westward at 3 m/s. The mission must be completed within 600 seconds, following a corridor inspection pattern through four waypoints. Communication experiences brief downlink outages between steps 100–110 and 300–315, adding risk to command reliability.",Fly at max speed to complete waypoints early,"Disable LiDAR to save power, use RGB only",Ascend to 15m for better GNSS signal stability,Hover at each waypoint for full sensor capture,Reduce speed and cycle sensor power intermittently,Prioritize downlink transmission over flight stability,Avoid obstacles with wide detours for safety,"[""Fly at max speed to complete waypoints early"", ""Disable LiDAR to save power, use RGB only"", ""Ascend to 15m for better GNSS signal stability"", ""Hover at each waypoint for full sensor capture"", ""Reduce speed and cycle sensor power intermittently"", ""Prioritize downlink transmission over flight stability"", ""Avoid obstacles with wide detours for safety""]","Reducing speed lowers power use in wind, while cycling sensors balances data collection and energy conservation. This extends effective endurance within the 30% reserve and accounts for downlink outages. Other options either over-consume power or sacrifice critical data, risking mission failure or non-recovery." 2025-11-01T17:52:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Foggy_Rural_Airspace_05b1bde41a4d_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Foggy_Rural_Airspace,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 180s, icing reduces UAV performance by 40% while in fog; a dynamic NFZ approaches at 240°/6.5m/s. Continue mission or act?","This scenario involves a bridge inspection mission using an octocopter UAV in rural airspace with poor visibility due to fog and icing conditions. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors including GNSS, IMU, and barometer. It operates within a defined geofenced area bounded by a 400m x 300m polygon, with a minimum altitude of 10m AGL and a maximum of 120m AGL. A static no-fly zone (NFZ) is present near the bridge center, and a dynamic NFZ moves through the area, requiring real-time avoidance. The mission follows a corridor pattern along the bridge with five waypoints and must be completed within 600 seconds. Moderate winds from the southwest (240° at 6.5 m/s) with gusts up to 3.2 m/s challenge flight stability. The UAV must also contend with an icing event at 180 seconds that reduces performance by 40% for one minute. Communication experiences two brief downlink loss windows, and the UAV must maintain separation from a moving obstacle and another UAV traffic moving perpendicular to its path. GNSS multipath effects are not explicitly modeled, but poor visibility and icing may degrade sensor reliability, requiring robust navigation and DAA systems.",Continue to next waypoint; winds are within limits,Abort mission immediately due to performance loss,Climb to 120m AGL for better GNSS reception,Descend to 10m AGL to reduce wind exposure,Enter static NFZ to avoid dynamic obstacle,Fly perpendicular path to intercept other UAV,Hold position at reduced speed until icing passes,"[""Continue to next waypoint; winds are within limits"", ""Abort mission immediately due to performance loss"", ""Climb to 120m AGL for better GNSS reception"", ""Descend to 10m AGL to reduce wind exposure"", ""Enter static NFZ to avoid dynamic obstacle"", ""Fly perpendicular path to intercept other UAV"", ""Hold position at reduced speed until icing passes""]","Icing reduces control authority during poor visibility, increasing risk of collision or loss of control. Continuing the mission endangers safe operation and violates flight safety principles. Aborting preserves aircraft and prevents potential harm to people or infrastructure." 2025-11-01T17:52:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Foggy_Dense_Urban_Area_b9918164abe7_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Foggy_Dense_Urban_Area,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"UAV faces icing, GNSS loss, and moving no-fly zone at 80m AGL in fog; winds 8 m/s. What immediate action ensures safety and compliance?","Fixed-wing UAV conducts bridge inspection in a dense urban area under poor visibility and foggy conditions. The mission takes place in controlled airspace with a minimum altitude of 10 meters AGL and a maximum of 120 meters. Weather includes strong winds at 8 m/s from the west, gusts up to 4 m/s, and icing conditions that impact flight performance. The UAV is equipped with RGB camera, LiDAR, and standard navigation sensors but lacks thermal imaging. GNSS signals suffer from multipath effects and electromagnetic interference, complicating positioning accuracy. A static no-fly zone blocks access near a critical infrastructure point, and a dynamic no-fly zone moves through the area. Another UAV and a moving spherical obstacle create traffic challenges requiring real-time separation management. The flight must follow a runway-aligned corridor pattern and return to a designated landing site after inspection. An icing fault event occurs mid-mission, reducing aerodynamic efficiency for one minute. Communication experiences brief dropouts, and the UAV must maintain link quality while avoiding collisions and NFZ breaches.",Descend to 10m AGL to minimize wind exposure and maintain visual reference,Continue mission using LiDAR to navigate around dynamic obstacles,Climb to 120m AGL to escape icing layer and improve GNSS reception,Abort inspection and return to landing site via safest corridor,Hover in place until GNSS signal stabilizes for accurate positioning,Fly eastward to overtake the moving no-fly zone and resume inspection,Prioritize bridge imaging and accept brief NFZ intrusion for data completeness,"[""Descend to 10m AGL to minimize wind exposure and maintain visual reference"", ""Continue mission using LiDAR to navigate around dynamic obstacles"", ""Climb to 120m AGL to escape icing layer and improve GNSS reception"", ""Abort inspection and return to landing site via safest corridor"", ""Hover in place until GNSS signal stabilizes for accurate positioning"", ""Fly eastward to overtake the moving no-fly zone and resume inspection"", ""Prioritize bridge imaging and accept brief NFZ intrusion for data completeness""]","Safety of flight and public protection outweigh mission objectives. Continuing under icing, GNSS degradation, and dynamic constraints increases collision or system failure risk. Aborting ensures compliance with airspace rules, minimizes hazard to people and infrastructure, and aligns with ethical priority of human life over data collection." 2025-11-01T17:52:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Harbor_Fog_fec21644201a_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Harbor_Fog,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 60 m altitude, wind is 11 m/s from west; icing reduces lift by 15%. What adjustment maintains airspeed and lift?","This UAV mission involves inspecting a bridge structure within a harbor environment under poor visibility due to fog and icing conditions. The airspace is constrained by a static no-fly zone near the bridge center and a moving exclusion zone that drifts slowly across the area. Wind increases with altitude, shifting in direction and reaching up to 11 m/s from the west at 60 meters. The amphibious fixed-wing VTOL UAV carries RGB and thermal cameras for visual inspection, relying on GNSS, IMU, and LiDAR for navigation. GNSS signals are degraded by multipath effects and moderate electromagnetic interference, with brief communication dropouts expected. The UAV must follow a corridor inspection pattern while maintaining separation from a nearby UAV and a slowly moving spherical obstacle. Launch and recovery require a runway takeoff and landing, with limited emergency landing options available. The mission is time-critical, with a 10-minute budget, and includes an icing event that reduces performance for one minute. Battery reserves must be carefully managed due to increased power demands in windy, cold conditions and aerodynamic degradation from ice.",Increase angle of attack by 3° and reduce throttle 10%,Decrease pitch attitude and increase throttle 20%,Maintain current pitch and cut throttle to conserve battery,Bank 20° left into wind without changing airspeed,Increase angle of attack beyond 12° to maximize lift,Reduce airspeed to decrease drag and improve stability,Increase throttle 25% and adjust pitch to hold 8° AoA,"[""Increase angle of attack by 3° and reduce throttle 10%"", ""Decrease pitch attitude and increase throttle 20%"", ""Maintain current pitch and cut throttle to conserve battery"", ""Bank 20° left into wind without changing airspeed"", ""Increase angle of attack beyond 12° to maximize lift"", ""Reduce airspeed to decrease drag and improve stability"", ""Increase throttle 25% and adjust pitch to hold 8° AoA""]","Increased headwind raises airspeed momentarily, but ice reduces lift and increases stall risk. To compensate, higher thrust offsets drag rise from ice, and controlled pitch maintains optimal AoA. Option G balances thrust and angle of attack to sustain lift without exceeding critical stall angle." 2025-11-01T17:52:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_at_Airport_Perimeter_under_Hot_Conditions_a9a7369fa450_mcq.json,uavbench-mcq-v1,Bridge_Inspection_at_Airport_Perimeter_under_Hot_Conditions,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 110 m AGL, 8 m/s wind from 210°, GNSS degrades near bridge; which sensor fusion strategy maintains positioning within 25 m separation?","This mission involves a heavy-lift UAV conducting a bridge inspection near an airport perimeter. The flight occurs in controlled airspace with a defined geofence and both static and moving no-fly zones. Weather conditions include moderate wind from 210 degrees at 8 m/s with gusts up to 4 m/s, under good visibility. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors for detailed structural assessment. Due to its battery-powered heavy-lift design, energy management is critical, especially under hot operating conditions affecting battery performance. The mission follows a corridor inspection pattern with five waypoints, requiring precise navigation below 120 m AGL. A dynamic no-fly zone and a moving obstacle introduce complexity, requiring real-time avoidance and separation maintenance of at least 25 meters. GNSS multipath effects may occur near the bridge structure, challenging positioning accuracy. Communication includes brief downlink loss windows, demanding resilient data handling and mission continuity.",Prioritize GNSS with LiDAR SLAM correction every 30 s,Switch entirely to IMU during downlink loss,"Fuse visual odometry, LiDAR, and smoothed IMU during GNSS dropouts",Rely on thermal camera for obstacle-relative navigation,Use GPS-only with 2 Hz update during multipath zones,Depend on corridor waypoint memory with no sensor input,Trust LiDAR alone despite fog-induced point cloud sparsity,"[""Prioritize GNSS with LiDAR SLAM correction every 30 s"", ""Switch entirely to IMU during downlink loss"", ""Fuse visual odometry, LiDAR, and smoothed IMU during GNSS dropouts"", ""Rely on thermal camera for obstacle-relative navigation"", ""Use GPS-only with 2 Hz update during multipath zones"", ""Depend on corridor waypoint memory with no sensor input"", ""Trust LiDAR alone despite fog-induced point cloud sparsity""]",Visual odometry and LiDAR provide spatial consistency while IMU bridges short GNSS outages. Fusing these counters multipath and wind-induced drift. This maintains accuracy and 25 m separation under environmental and signal constraints. 2025-11-01T17:52:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Jungle_with_Snowfall_c7a838e9eb71_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Jungle_with_Snowfall,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"During icing at 45 m AGL with 18 m/s gusts, what adjustment maintains lift without exceeding thrust limits?","This UAV mission involves inspecting a bridge in a dense jungle environment with active snowfall and icing conditions. The octocopter UAV is equipped with RGB camera and LiDAR for visual inspection and navigation. It operates within a defined geofenced airspace bounded from 5 to 120 meters AGL, avoiding static and moving no-fly zones. A dynamic no-fly zone drifts through the area, requiring real-time path adjustment. The UAV must contend with strong winds increasing with altitude, gusts, and poor visibility due to snow. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference challenges sensor reliability. Thermal updrafts are present near the center of the area, affecting flight stability. The mission must be completed within 600 seconds, following a corridor inspection pattern across five waypoints. Battery reserve is set to 30%, and the UAV must avoid collisions with a moving obstacle and another UAV on a crossing path. Communication experiences brief loss windows, and an icing event occurs mid-mission, reducing performance temporarily.",Increase angle of attack by 3° to boost lift coefficient,Reduce airspeed to decrease induced drag and save power,Descend to 30 m AGL to escape higher wind shear layer,Pitch down 2° to reduce frontal area and drag,Increase throttle to 95% to compensate for ice-induced drag,Bank 15° into wind to stabilize roll attitude,Hold level flight and accept reduced lift due to ice,"[""Increase angle of attack by 3° to boost lift coefficient"", ""Reduce airspeed to decrease induced drag and save power"", ""Descend to 30 m AGL to escape higher wind shear layer"", ""Pitch down 2° to reduce frontal area and drag"", ""Increase throttle to 95% to compensate for ice-induced drag"", ""Bank 15° into wind to stabilize roll attitude"", ""Hold level flight and accept reduced lift due to ice""]","Increasing angle of attack increases lift coefficient to counteract ice-reduced wing efficiency, within stall margin. At 45 m, wind gusts increase dynamic pressure, allowing modest AOA gain without exceeding thrust limits. Other options either reduce lift, increase drag excessively, or risk control loss." 2025-11-01T17:52:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Harbor_with_Gusts_ce2b305daace_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Harbor_with_Gusts,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Given 8 m/s wind, 600-second limit, and moving obstacles, which strategy maximizes inspection completion with available energy?","This is a bridge inspection mission in a harbor environment using a single-rotor helicopter UAV. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates within a defined airspace polygon with a maximum altitude of 80 meters AGL and a minimum of 5 meters. A no-fly zone cylinder is present near the bridge structure, requiring careful flight planning to avoid intrusion. Weather includes a steady 8 m/s wind from 210 degrees with 4.5 m/s gusts, impacting stability and energy use. The mission must be completed within 600 seconds, following a corridor inspection pattern across four waypoints. A moving spherical obstacle drifts near the no-fly zone, adding dynamic collision risk. Another UAV enters the airspace from the east, requiring separation maintenance of at least 25 meters. Communication experiences brief downlink losses at two intervals, potentially affecting data transmission. GNSS multipath effects may occur due to the harbor’s reflective surfaces, challenging positioning accuracy near structures.",Fly at max speed to finish early and conserve battery,Reduce camera resolution to lower power and data load,Climb to 80 m for better GNSS signal and obstacle visibility,Hover at each waypoint to stabilize in wind before imaging,Disable LiDAR to save power and reduce heat buildup,Transmit all data in real-time during downlink windows,Follow exact corridor path regardless of wind direction,"[""Fly at max speed to finish early and conserve battery"", ""Reduce camera resolution to lower power and data load"", ""Climb to 80 m for better GNSS signal and obstacle visibility"", ""Hover at each waypoint to stabilize in wind before imaging"", ""Disable LiDAR to save power and reduce heat buildup"", ""Transmit all data in real-time during downlink windows"", ""Follow exact corridor path regardless of wind direction""]","Reducing camera resolution cuts power use and data bandwidth, critical during downlink losses and gust-induced stabilization loads. It balances sensor utility and energy, enabling full mission completion within 600 seconds. Other options increase drag, waste energy, or risk communication failure under constrained resources." 2025-11-01T17:52:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Mountainous_Terrain_with_Low_Visibility_cffba209656a_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Mountainous_Terrain_with_Low_Visibility,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 180s, comms dropout occurs with GNSS jamming; which action ensures control and data integrity?","This UAV mission is a bridge inspection in mountainous terrain with poor visibility and icing conditions. The operation takes place in a confined airspace with a geofenced area and two no-fly zones, one of which is dynamically moving. Winds are strong and increase with altitude, reaching up to 14 m/s at 300 meters, with gusts and shifting direction. The UAV is an octocopter equipped with a high-resolution RGB camera, thermal camera, LiDAR, and standard navigation sensors. It carries a 1.2 kg payload and relies on battery power with a limited energy budget and 30% reserve requirement. GNSS signals are degraded due to multipath effects, electromagnetic interference, and localized jamming, complicating navigation. The flight must avoid a dynamic no-fly zone and a moving spherical obstacle while maintaining separation from another UAV on a crossing path. A planned icing event at 240 seconds will temporarily reduce performance by 40% for one minute. Communication dropouts occur briefly at 180 and 420 seconds, requiring robust autonomy and contingency planning.",Switch to encrypted IMU-only mode with authenticated waypoints,Continue using GNSS with open-loop PID control,Transmit unencrypted telemetry to ground station for override,Disable LiDAR to save power for GPS signal acquisition,Accept all autopilot commands without cryptographic verification,Rely on thermal camera to estimate position during dropout,Upload new trajectory via unauthenticated datalink link,"[""Switch to encrypted IMU-only mode with authenticated waypoints"", ""Continue using GNSS with open-loop PID control"", ""Transmit unencrypted telemetry to ground station for override"", ""Disable LiDAR to save power for GPS signal acquisition"", ""Accept all autopilot commands without cryptographic verification"", ""Rely on thermal camera to estimate position during dropout"", ""Upload new trajectory via unauthenticated datalink link""]","A maintains control via trusted inertial navigation and preserves data integrity through encryption and authentication. It mitigates jamming and dropout risks while ensuring resilient operation. Other options expose the UAV to spoofing, loss of control, or unauthorized command injection." 2025-11-01T17:52:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Icing_Conditions_f0ef438dffda_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Icing_Conditions,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,"At 180s, icing increases power use and reduces control during bridge inspection near no-fly zone (100,75), 20m radius, 15–40m vertical.","This is a bridge inspection mission using an octocopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs in rural airspace with a defined geofenced area and a cylindrical no-fly zone near the center of the operational zone. Weather conditions include moderate winds from 240 degrees, gusts, poor visibility, and hazardous icing conditions. The UAV must operate between 10 and 120 meters above ground level, following a corridor inspection pattern across five waypoints. A critical constraint is the presence of a no-fly zone centered at (100, 75) with a 20-meter radius and vertical limits from 15 to 40 meters. The UAV starts with a full 1200 Wh battery and must conserve at least 30% reserve energy by mission end. Mid-mission, at 180 seconds, an icing event reduces UAV performance for two minutes, increasing power draw and affecting control. Communication experiences two brief 10-second downlink loss windows but maintains acceptable signal strength otherwise. The mission must complete within 600 seconds, avoid collisions or geofence breaches, and maintain safe separation from obstacles despite GNSS signal challenges due to multipath risks near the bridge structure.",Continue as planned; monitor battery and position closely.,Ascend above 40m to avoid icing layer; maintain inspection path.,Exit no-fly zone immediately; climb to 120m for safety.,Descend below 15m to escape icing; cut through no-fly cylinder.,Abort mission now; return to base with current data.,Enter no-fly zone to finish high-value scan; exit before 600s.,Hover at 35m until icing clears; resume inspection after 2 minutes.,"[""Continue as planned; monitor battery and position closely."", ""Ascend above 40m to avoid icing layer; maintain inspection path."", ""Exit no-fly zone immediately; climb to 120m for safety."", ""Descend below 15m to escape icing; cut through no-fly cylinder."", ""Abort mission now; return to base with current data."", ""Enter no-fly zone to finish high-value scan; exit before 600s."", ""Hover at 35m until icing clears; resume inspection after 2 minutes.""]","Icing compromises control and increases power draw, risking uncontrolled entry into the no-fly zone or crash. Mission safety and airspace compliance outweigh data completion. Aborting preserves human safety, avoids regulatory violation, and ensures 30% battery reserve despite data loss." 2025-11-01T17:52:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Harbor_with_Cold_Weather_9c5f3efe2ee8_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Harbor_with_Cold_Weather,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"At 200 s, icing reduces thrust; wind is 10 m/s. How to maintain 600 s mission within 15 m separation and 320 Wh?","This is a bridge inspection mission conducted by a quadrotor UAV in a harbor environment. The UAV is equipped with an RGB camera, LiDAR, and standard navigation sensors, powered by a 320 Wh battery. Operations take place within a defined polygonal airspace bounded between 5 m and 120 m AGL, including static and moving no-fly zones. The mission faces challenging weather, including strong winds up to 10 m/s, gusts, and icing conditions that affect flight performance. GNSS signals are degraded due to multipath effects and electromagnetic interference, complicating navigation near structures. A dynamic no-fly zone and a moving spherical obstacle require real-time avoidance, with a minimum separation of 15 m enforced for traffic. Another UAV enters the airspace from the east, traveling westward at 12 m/s, adding collision risk. The UAV must complete a corridor-style waypoint pattern within 600 seconds while managing battery reserves and fault events. An icing fault occurs at 200 seconds, reducing performance for one minute. Communication experiences a brief 10-second downlink loss, and safe landing sites are designated for normal and emergency use.",Climb to 120 m for smoother air and better GNSS,Descend to 5 m to minimize wind exposure,Reduce speed by 30% to conserve battery and stabilize,Abort mission and land at emergency site,"Maintain current speed, prioritize waypoint timing","Increase altitude to 80 m, reduce speed to 8 m/s","Fly direct path at 15 m AGL, accept higher power use","[""Climb to 120 m for smoother air and better GNSS"", ""Descend to 5 m to minimize wind exposure"", ""Reduce speed by 30% to conserve battery and stabilize"", ""Abort mission and land at emergency site"", ""Maintain current speed, prioritize waypoint timing"", ""Increase altitude to 80 m, reduce speed to 8 m/s"", ""Fly direct path at 15 m AGL, accept higher power use""]","At 80 m, the UAV balances reduced wind gust impact and acceptable GNSS performance while lowering speed conserves energy during thrust degradation. This maintains separation, complies with altitude bounds, and preserves battery for fault recovery and mission completion." 2025-11-01T17:52:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Rainy_Powerline_Corridor_833c4496eb0e_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Rainy_Powerline_Corridor,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best balances 1200 Wh battery, 30% reserve, icing at 120s, and 8 m/s winds for 600s mission?","This is a bridge inspection mission conducted in a powerline corridor using a convertiplane UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The UAV operates within a defined airspace polygon with a minimum altitude of 5 meters and a maximum of 120 meters AGL, avoiding static and dynamic no-fly zones near the bridge structure. Weather conditions include rain, poor visibility, moderate winds up to 8 m/s from 240 degrees with gusts, and increasing wind speed and directional shear at higher altitudes, along with icing risk. The UAV must contend with GNSS signal multipath, electromagnetic interference, and brief communication downlink outages, complicating navigation and data transmission. A nearby thermal updraft at 120,180 may affect local flight dynamics, while a moving spherical obstacle and dynamic no-fly zone require real-time collision avoidance. The mission involves flying a predefined corridor pattern through four waypoints, transitioning between VTOL and forward flight, with a required runway approach for landing. Separation from other air traffic—a crossing UAV—is monitored with a 25-meter threshold and 20-second time-to-close alerting to prevent conflicts. An icing fault event occurs at 120 seconds, reducing performance for one minute, increasing power demand and risk of stall, especially in rain and low temperatures. Battery capacity is limited to 1200 Wh with a 30% reserve, requiring efficient routing to complete the 600-second mission and reach the preferred landing site. The scenario emphasizes reliable sensor fusion under degraded GNSS and communication conditions, precise low-altitude maneuvering near structures, and resilience to environmental and system faults.",Fixed-wing with high glide ratio but no VTOL,"Quadcopter with thermal camera only, no LiDAR","Convertiplane with RGB, thermal, LiDAR, and GNSS/INS fusion","Helicopter with mechanical sensors, low power use","Fixed-wing with VTOL tilts, no thermal updraft compensation",Convertiplane with reduced sensor suite to save power,Quadcopter with full sensors and redundant comms,"[""Fixed-wing with high glide ratio but no VTOL"", ""Quadcopter with thermal camera only, no LiDAR"", ""Convertiplane with RGB, thermal, LiDAR, and GNSS/INS fusion"", ""Helicopter with mechanical sensors, low power use"", ""Fixed-wing with VTOL tilts, no thermal updraft compensation"", ""Convertiplane with reduced sensor suite to save power"", ""Quadcopter with full sensors and redundant comms""]","The convertiplane with full sensor fusion supports VTOL, efficient forward flight, and resilient navigation under GNSS degradation. It meets endurance with sufficient payload and handles icing and wind via adaptive control. Other options sacrifice critical capabilities like sensor coverage, efficiency, or fault tolerance." 2025-11-01T17:52:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Mountainous_Terrain_with_Microburst_Risk_18a98eb67cd6_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Mountainous_Terrain_with_Microburst_Risk,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"At 210 m AGL with 16.5 m/s winds and GNSS jamming, what action maintains safety and mission feasibility?","This UAV mission involves a bridge inspection in mountainous terrain using a convertiplane UAV equipped with RGB camera and LiDAR payload. The operation takes place within a defined polygonal airspace with a maximum altitude of 250 m AGL and includes both static and moving no-fly zones. Winds increase with altitude, reaching 16.5 m/s at 200 m, with a microburst risk and significant gusts complicating flight stability. The UAV must maintain runway access for transition phases and avoid GNSS multipath and electromagnetic interference common in the rugged environment. A dynamic no-fly zone and a moving spherical obstacle challenge path planning, requiring real-time adjustments. The mission follows a corridor pattern with five waypoints, demanding precise navigation under tight time and separation constraints. GNSS jamming and a partial motor failure are introduced as faults, testing resilience during flight. Communication downlink is intermittently lost, reducing telemetry availability to ground control. Battery endurance is critical, with a 30% reserve required and high wind increasing power consumption. Successful completion depends on maintaining separation from traffic, avoiding obstacles, and adapting to weather and system faults.",Climb to 240 m AGL for smoother airflow,Descend to 150 m AGL and continue waypoint route,Turn back toward runway at current altitude,Hold level at 210 m AGL until GNSS returns,Dive rapidly below 100 m AGL to avoid gusts,Descend to 180 m AGL and divert to runway,Increase speed to 25 m/s to exit NFZ quickly,"[""Climb to 240 m AGL for smoother airflow"", ""Descend to 150 m AGL and continue waypoint route"", ""Turn back toward runway at current altitude"", ""Hold level at 210 m AGL until GNSS returns"", ""Dive rapidly below 100 m AGL to avoid gusts"", ""Descend to 180 m AGL and divert to runway"", ""Increase speed to 25 m/s to exit NFZ quickly""]","Descending to 180 m AGL reduces wind exposure and energy use while staying above minimum safe altitude. Diverting to runway preserves transition capability and avoids microburst risk. Other options exceed altitude limits, increase multipath, or violate endurance and separation constraints." 2025-11-01T17:52:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Low_Visibility_Suburban_Airspace_7883a0ed992f_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Low_Visibility_Suburban_Airspace,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,D,False,"With 30% battery reserve and 10-minute limit, how should the UAV adapt after a 1-minute icing event degrading performance?","This scenario involves a bridge inspection mission using a convertiplane UAV in suburban airspace. The UAV is equipped with a comprehensive sensor suite including RGB and thermal cameras, LiDAR, radar, and full navigation systems. Flight occurs under poor visibility and icing conditions, with moderate wind increasing with altitude and significant gusts. The UAV must navigate around a no-fly zone near the bridge and maintain separation from a moving obstacle and another UAV. GNSS multipath and electromagnetic interference degrade navigation accuracy, requiring robust positioning solutions. The mission requires a runway for landing and has a strict 10-minute time budget. The convertiplane must transition between vertical and fixed-wing flight, constrained by energy limits and a 30% battery reserve. An icing event occurs mid-mission, reducing performance for one minute. Communication experiences brief dropouts, and the UAV must avoid geofence breaches while completing its inspection route. Success depends on maintaining safe separation, battery endurance, and mission completion within environmental and operational constraints.",Increase speed to make up lost time,Switch to full sensor suite for better data,Abort mission and return immediately,Reduce LiDAR resolution and shorten inspection path,Hover to wait out communication dropouts,Circle bridge to regain GNSS signal,Climb to avoid gusts using excess battery,"[""Increase speed to make up lost time"", ""Switch to full sensor suite for better data"", ""Abort mission and return immediately"", ""Reduce LiDAR resolution and shorten inspection path"", ""Hover to wait out communication dropouts"", ""Circle bridge to regain GNSS signal"", ""Climb to avoid gusts using excess battery""]","Reducing LiDAR resolution lowers power draw and computational load, preserving energy. Shortening the inspection path compensates for lost time and battery, ensuring return within the 30% reserve. This balances mission utility with endurance under degraded conditions." 2025-11-01T17:52:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Sandstorm_-_Convertiplane_dbf824ded7f1_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Sandstorm_-_Convertiplane,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,"Convertiplane UAV must inspect a bridge in 600 s with 30% battery reserve, 12 m/s winds, and GNSS jamming.","This scenario involves a bridge inspection mission using a convertiplane UAV in a rural airspace with a sandstorm and strong winds. The UAV is equipped with a full sensor suite including GNSS, LiDAR, radar, RGB and thermal cameras. It operates within a defined polygonal geofence with a cylindrical no-fly zone near the bridge structure. Wind speed reaches 12 m/s with gusts up to 6 m/s, and visibility is poor due to the sandstorm. The mission requires the UAV to follow a corridor inspection pattern while avoiding the NFZ and maintaining separation from another UAV. A moving spherical obstacle simulates dynamic hazards near the bridge. GNSS jamming and communication losses occur during flight, challenging navigation and control. The UAV must use its runway for takeoff and landing, with specific transition times between hover and forward flight. Battery reserve is set to 30%, and the mission must be completed within 600 seconds despite environmental and system faults.",Uses LiDAR for navigation during GNSS outages and optimizes path around NFZ,Relies solely on GNSS and ignores sandstorm visibility degradation,Skips transition protocol to save 20 s on hover-to-forward flight,"Increases speed to 25 m/s to finish early, ignoring gust stability limits","Uses only RGB camera, reducing sensor load but losing obstacle detection in sandstorm","Lands immediately upon communication loss, abandoning mission",Disables geofence monitoring to gain processing power for thermal imaging,"[""Uses LiDAR for navigation during GNSS outages and optimizes path around NFZ"", ""Relies solely on GNSS and ignores sandstorm visibility degradation"", ""Skips transition protocol to save 20 s on hover-to-forward flight"", ""Increases speed to 25 m/s to finish early, ignoring gust stability limits"", ""Uses only RGB camera, reducing sensor load but losing obstacle detection in sandstorm"", ""Lands immediately upon communication loss, abandoning mission"", ""Disables geofence monitoring to gain processing power for thermal imaging""]","A maintains navigation accuracy during GNSS jamming using LiDAR, respects NFZ constraints, and adapts to dynamic obstacles. Other choices fail in safety, compliance, or environmental resilience. A balances fault tolerance, mission continuity, and regulatory adherence under wind and visibility stress." 2025-11-01T17:52:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Sandstorm_with_High-Altitude_Pseudo-Satellite_2022cf216c0a_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Sandstorm_with_High-Altitude_Pseudo-Satellite,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During GNSS jamming and 22 m/s winds, how should the UAV maintain position control and secure command validation above 1,000 m AGL?","This mission involves a high-altitude pseudo-satellite UAV conducting a bridge inspection in a wind farm area. The UAV operates within a defined airspace from 100 to 1,200 meters AGL, bounded by a polygonal geofence. It faces challenging weather including a sandstorm, poor visibility, and strong winds up to 22 m/s increasing with altitude. The UAV is equipped with a comprehensive payload including RGB and thermal cameras, LiDAR, radar, and full navigation sensors. A static no-fly zone and a moving no-fly cylinder create complex airspace constraints. The UAV must maintain separation from another UAV and a moving spherical obstacle, with a minimum separation threshold of 50 meters. GNSS jamming and electromagnetic interference degrade navigation reliability, with a simulated GNSS fault occurring mid-mission. Communication suffers from uplink loss and downlink degradation during critical windows. The mission must be completed within 600 seconds, requiring efficient routing and robust fault tolerance under adverse conditions.",Use encrypted uplink with authenticated commands and inertial-aided navigation,Rely on unencrypted emergency override for faster response,Increase GNSS update frequency to counteract jamming,"Switch to optical flow only, ignoring radar and LiDAR fusion",Broadcast position via unsecured downlink for ATC tracking,Disable authentication to reduce command latency during wind gusts,"Trust all sensor inputs equally, including compromised GNSS","[""Use encrypted uplink with authenticated commands and inertial-aided navigation"", ""Rely on unencrypted emergency override for faster response"", ""Increase GNSS update frequency to counteract jamming"", ""Switch to optical flow only, ignoring radar and LiDAR fusion"", ""Broadcast position via unsecured downlink for ATC tracking"", ""Disable authentication to reduce command latency during wind gusts"", ""Trust all sensor inputs equally, including compromised GNSS""]","Encrypted and authenticated uplinks preserve command integrity despite jamming and intrusion risks. Inertial-aided navigation maintains control stability when GNSS is unreliable. This choice ensures confidentiality, integrity, and availability under combined cyber-physical stress." 2025-11-01T17:52:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Underground_Mine_under_Hot_Conditions_cae234d94d3c_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Underground_Mine_under_Hot_Conditions,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,D,False,"With 10-minute flight time, 30% battery reserve, and 6 waypoints in poor visibility, which strategy maximizes inspection completion while ensuring return?","This scenario involves a bridge inspection mission inside an underground mine using a hexacopter UAV equipped with RGB and thermal cameras, LiDAR, and IMU-based navigation. The flight occurs in poor visibility with heat haze and moderate wind, complicating sensor performance and thermal management. GNSS is unavailable due to the underground environment, and severe GNSS multipath and jamming further degrade positioning accuracy. The UAV must navigate within a confined polygonal airspace, avoiding a static no-fly zone and a dynamically moving obstacle cylinder. A second UAV travels through the airspace on a fixed path, requiring strict separation to avoid collision. The mission follows a corridor pattern with six waypoints and a 10-minute time budget, returning to the start point. Battery endurance is critical, with a 30% reserve required and potential faults including GNSS jamming and IMU bias. Communication suffers from intermittent uplink outages, limiting remote control input. The environment includes electromagnetic interference and moving obstacles, increasing navigation complexity. Success depends on maintaining safe separation, avoiding geofence and NFZ breaches, and completing the route within energy and timing constraints.",Increase speed to cover all waypoints quickly,Disable thermal camera to save power,Skip last two waypoints to conserve energy,Fly full route at reduced camera frame rate,Hover at each waypoint for full sensor capture,Ascend to improve GNSS signal reception,Transmit all data live to ground station,"[""Increase speed to cover all waypoints quickly"", ""Disable thermal camera to save power"", ""Skip last two waypoints to conserve energy"", ""Fly full route at reduced camera frame rate"", ""Hover at each waypoint for full sensor capture"", ""Ascend to improve GNSS signal reception"", ""Transmit all data live to ground station""]","Flying the full route at reduced frame rate balances mission completeness and energy use, preserving critical data collection while lowering power draw. It avoids risky maneuvers and maintains sensor utility within the 10-minute limit and 30% reserve. Other options either waste energy, compromise safety, or sacrifice essential coverage." 2025-11-01T17:52:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_at_Offshore_Platform_with_Lightning_Risk_75463cc34542_mcq.json,uavbench-mcq-v1,Bridge_Inspection_at_Offshore_Platform_with_Lightning_Risk,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 320 seconds, GNSS jamming and comms failure occur. Which action maintains control and data integrity within 15s TTC and 25m separation?","This mission involves an octocopter UAV conducting a bridge inspection near an offshore platform. The airspace is restricted with a cylindrical no-fly zone around critical infrastructure. The UAV operates in good visibility but faces moderate winds from 240 degrees and a lightning risk. Equipped with RGB and thermal cameras, LiDAR, and full navigation sensors, it carries a 1.2 kg payload. The flight must maintain separation of at least 25 meters from other traffic, with a minimum time-to-contact threshold of 15 seconds. A nearby UAV and a moving spherical obstacle add complexity to path planning. GNSS jamming occurs at 320 seconds, lasting 45 seconds, coinciding with a comms downlink failure. The UAV must complete its corridor-pattern waypoints within 600 seconds while respecting altitude limits between 10 and 120 meters AGL. Battery endurance and fault resilience are critical due to the remote offshore location and lack of emergency landing options nearby.",Switch to encrypted inertial navigation with authenticated waypoint cache,Continue using last GNSS fix until signal recovery,Descend immediately to 10m AGL using unverified altitude data,Transmit unencrypted telemetry to restore downlink contact,Request retransmission of lost comms every 2 seconds,Override flight controller to manual mode via open radio link,Rely on LiDAR-only obstacle avoidance without sensor fusion,"[""Switch to encrypted inertial navigation with authenticated waypoint cache"", ""Continue using last GNSS fix until signal recovery"", ""Descend immediately to 10m AGL using unverified altitude data"", ""Transmit unencrypted telemetry to restore downlink contact"", ""Request retransmission of lost comms every 2 seconds"", ""Override flight controller to manual mode via open radio link"", ""Rely on LiDAR-only obstacle avoidance without sensor fusion""]","Switching to encrypted inertial navigation preserves control stability and integrity during GNSS denial. Authenticated cached waypoints prevent spoofing-based path manipulation. This ensures mission continuity, maintains separation, and resists cyber-physical attacks during comms loss." 2025-11-01T17:52:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Urban_Canyon_with_Heavy_Lift_UAV_35ba3ad3388b_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Urban_Canyon_with_Heavy_Lift_UAV,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 110m AGL, 8.5 m/s winds gusting to 4.2 m/s, and near 120m AGL ceiling, what action maintains compliance and safety?","This is a bridge inspection mission in an urban canyon environment using a heavy-lift octocopter UAV. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors for detailed structural assessment. The flight occurs in good visibility with moderate winds of 8.5 m/s from 210 degrees and gusts up to 4.2 m/s, challenging stability and energy use. The urban canyon setting causes significant GNSS signal multipath and limits sky visibility, affecting positioning accuracy. The UAV must stay within a defined corridor between 10 and 120 meters AGL, avoiding a cylindrical no-fly zone near the bridge structure. A moving spherical obstacle simulates dynamic hazards like construction equipment or debris. Another UAV is present in the airspace, requiring separation maintenance of at least 25 meters or 15 seconds time-to-closest approach. The mission follows a predefined waypoint pattern with a 10-minute time budget and requires precise navigation to complete the inspection loop. Battery endurance is critical, with a reserve margin set at 30% to ensure safe return. The UAV must avoid geofence breaches, maintain safe altitudes, and successfully return to the designated landing site.",Descend to 10m AGL to reduce wind exposure,Hold altitude and increase forward speed by 20%,Climb to 125m AGL for better GNSS signal,Divert around obstacle at current altitude,Reduce speed to conserve battery immediately,Turn back toward launch site at 60m AGL,Ascend to 120m AGL and slow approach,"[""Descend to 10m AGL to reduce wind exposure"", ""Hold altitude and increase forward speed by 20%"", ""Climb to 125m AGL for better GNSS signal"", ""Divert around obstacle at current altitude"", ""Reduce speed to conserve battery immediately"", ""Turn back toward launch site at 60m AGL"", ""Ascend to 120m AGL and slow approach""]","Ascending to 120m AGL maximizes clearance from urban canyon multipath while staying within the altitude band. It improves positioning margin without violating the ceiling. Slowing reduces gust sensitivity and energy use, balancing obstacle avoidance, endurance, and stability under 8.5 m/s winds." 2025-11-01T17:52:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Volcanic_Zone_with_Icing_7950106b787c_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Volcanic_Zone_with_Icing,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"UAV must inspect bridges at 30m AGL in volcanic zone with icing, 15 m/s winds at 200m, and 600s max mission time.","This is a bridge inspection mission in a volcanic zone with challenging weather and environmental hazards. The UAV operates within a defined airspace bounded by a polygonal geofence, with a minimum altitude of 10 meters and a maximum of 250 meters AGL. Winds are moderate at ground level but increase with altitude, reaching 15 m/s at 200 meters, with gusts and shifting direction. Icing conditions are present, and a simulated icing event occurs mid-mission, affecting performance. The UAV is a convertiplane equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, optimized for inspection tasks. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference further degrades sensor reliability. A static no-fly zone protects a central area, and a dynamic no-fly zone moves through the airspace, requiring real-time avoidance. The mission follows a corridor pattern with multiple waypoints at 30 meters altitude, requiring runway-assisted takeoff and landing. Air traffic and a moving spherical obstacle introduce separation challenges, with DAA thresholds set at 25 meters and 15 seconds TTC. Communication experiences brief downlink losses, and the UAV must complete the mission within 600 seconds while maintaining battery reserves and avoiding stalls or collisions.",Climb to 200m for clearer GNSS and faster transit,"Fly direct routes at 30m, ignoring dynamic obstacles",Reduce LiDAR frame rate and use corridor waypoints,Land immediately after icing detection to prevent damage,Increase speed to 18 m/s to finish before battery depletion,Circle at 150m to wait out the moving no-fly zone,Transmit all data at 50 Mbps during downlink windows,"[""Climb to 200m for clearer GNSS and faster transit"", ""Fly direct routes at 30m, ignoring dynamic obstacles"", ""Reduce LiDAR frame rate and use corridor waypoints"", ""Land immediately after icing detection to prevent damage"", ""Increase speed to 18 m/s to finish before battery depletion"", ""Circle at 150m to wait out the moving no-fly zone"", ""Transmit all data at 50 Mbps during downlink windows""]","Reducing LiDAR frame rate conserves power while maintaining essential inspection capability. Following corridor waypoints minimizes lateral deviation and energy use. This balances sensor performance, flight efficiency, and battery limits within the 600-second window." 2025-11-01T17:52:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Volcanic_Zone_with_Thermal_Updrafts_dde47e68b00a_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Volcanic_Zone_with_Thermal_Updrafts,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 110m AGL near (320,450), winds hit 13.5 m/s and GNSS degrades; what ensures navigation integrity during downlink outage?","This is an inspection mission using an octocopter equipped with RGB and thermal cameras, operating in a volcanic zone with challenging environmental conditions. The UAV is tasked with flying a corridor pattern near a bridge structure within a defined polygonal airspace bounded between 10 and 120 meters AGL. Strong winds increase with altitude, reaching 13.5 m/s at 100 meters, and thermal updrafts create localized turbulence, particularly near a plume centered at (320, 450). GNSS performance is degraded due to multipath effects and electromagnetic interference, complicating navigation near rocky terrain. A static no-fly zone surrounds a critical area at (300, 300), while a dynamic no-fly zone moves through the airspace, requiring real-time avoidance. A single intruder UAV and a moving spherical obstacle add complexity to collision avoidance. The UAV must maintain separation of at least 25 meters from traffic and obstacles, with a time-to-closest-approach threshold of 15 seconds. Communication experiences brief downlink outages between 120 and 135 seconds, limiting telemetry during a critical phase. Battery capacity is limited, with a reserve of 30% required for safe return to the preferred landing site. Mission success depends on completing the waypoint route without collisions, geofence breaches, or violating altitude and separation constraints.",Switch to visual-inertial odometry with encrypted sensor fusion,Rely solely on uncorrected GNSS with open telemetry,Use preloaded GPS waypoints without cross-verification,Increase control loop frequency using spoofed IMU data,Transmit unauthenticated commands via public downlink,Descend immediately using barometer-only altitude hold,Maintain course using unverified intruder UAV's ADS-B,"[""Switch to visual-inertial odometry with encrypted sensor fusion"", ""Rely solely on uncorrected GNSS with open telemetry"", ""Use preloaded GPS waypoints without cross-verification"", ""Increase control loop frequency using spoofed IMU data"", ""Transmit unauthenticated commands via public downlink"", ""Descend immediately using barometer-only altitude hold"", ""Maintain course using unverified intruder UAV's ADS-B""]","A ensures resilience by fusing trusted visual and inertial data with encryption, preserving integrity during GNSS denial. It maintains control stability amid turbulence and avoids reliance on compromised signals. Other options expose the UAV to spoofing, unverified data, or communication exploits." 2025-11-01T17:52:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Wind_Farm_with_Low_Visibility_6c02c24ee7bf_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Wind_Farm_with_Low_Visibility,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During an 8.5 m/s wind and icing event at 200s, with downlink outages at 150–160s, how should the UAV maintain control and data integrity?","This mission involves a bridge inspection using a hexacopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place within a wind farm environment, bounded by a polygonal geofence with a cylindrical no-fly zone around critical infrastructure. Weather conditions include strong 8.5 m/s winds from 240 degrees, gusts up to 4.2 m/s, poor visibility, and icing conditions that could affect flight performance. The UAV must follow a corridor inspection pattern across three waypoints while maintaining altitudes between 10 and 120 meters AGL. A moving spherical obstacle drifts through the airspace, requiring real-time avoidance, and another UAV is present on a crossing path, necessitating separation assurance. The UAV must maintain a minimum separation of 25 meters and a time-to-closest-approach threshold of 8 seconds to avoid DAA breaches. Communication experiences brief downlink outages between 150–160 and 300–315 seconds, with minimum RSSI at -85 dBm. An icing event occurs at 200 seconds, reducing performance by 40% for one minute, impacting control and battery efficiency. Key constraints include avoiding the no-fly zone, adhering to altitude limits, completing the mission within 600 seconds, and ensuring sufficient battery reserve for safe return to the preferred landing site.",Use encrypted C2 link with fallback to pre-programmed hold pattern,Increase telemetry rate to improve ground monitoring,Disable LiDAR to save power during icing,Switch to GNSS-only navigation during RSSI drops,Transmit unencrypted thermal data to reduce latency,Rely on visual tracking of the moving obstacle,Abort mission on first comms loss,"[""Use encrypted C2 link with fallback to pre-programmed hold pattern"", ""Increase telemetry rate to improve ground monitoring"", ""Disable LiDAR to save power during icing"", ""Switch to GNSS-only navigation during RSSI drops"", ""Transmit unencrypted thermal data to reduce latency"", ""Rely on visual tracking of the moving obstacle"", ""Abort mission on first comms loss""]","Encrypted C2 ensures command integrity under jamming or spoofing, while a pre-programmed hold maintains control stability during comms outages. This balances availability and security without violating physical constraints or mission timing." 2025-11-01T17:52:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_with_Amphibious_UAV_in_Cold_Industrial_Plant_dad39876d24f_mcq.json,uavbench-mcq-v1,Bridge_Inspection_with_Amphibious_UAV_in_Cold_Industrial_Plant,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which configuration ensures mission success under 8.5 m/s winds, icing, and GNSS degradation with 30% energy reserve?","This is a bridge inspection mission using an amphibious fixed-wing UAV equipped with RGB and thermal cameras, operating within a confined industrial plant airspace. The UAV must navigate a predefined corridor pattern between waypoints while avoiding a no-fly zone centered at (100, 75) with a 20-meter radius up to 40 meters altitude. Operating conditions include strong winds of 8.5 m/s from 240°, increasing to 12 m/s at higher altitudes with gusts up to 4.5 m/s, and the presence of thermal updrafts near (120, 80). Icing conditions are present and a simulated icing event occurs at 200 seconds, reducing performance by 60% for one minute. GNSS signals are degraded due to multipath effects and moderate jamming at -85 dBm, compounded by electromagnetic interference in the environment. The UAV must maintain safe separation of at least 25 meters from other traffic, including an incoming UAV approaching from the south at 12 m/s. Communication experiences brief downlink outages between 150–160 and 400–415 seconds, requiring resilient data handling. The UAV has a battery capacity of 450 Wh and must complete the mission within 600 seconds while reserving 30% of its energy for safe return. It must land on a designated runway at (180, 10, 0) after transitioning from fixed-wing to VTOL mode, with emergency landing options available at the northern edge of the site.","Fixed-wing only, no de-icing, standard GNSS",VTOL-only mode throughout the mission,"Hybrid flight with de-icing, dual GNSS-INS",Fixed-wing with visual navigation only,"Single-camera setup, max battery utilization","Lightweight frame, no thermal camera","High-gain antenna, no redundancy","[""Fixed-wing only, no de-icing, standard GNSS"", ""VTOL-only mode throughout the mission"", ""Hybrid flight with de-icing, dual GNSS-INS"", ""Fixed-wing with visual navigation only"", ""Single-camera setup, max battery utilization"", ""Lightweight frame, no thermal camera"", ""High-gain antenna, no redundancy""]","C balances fault tolerance, environmental adaptability, and energy efficiency. Dual GNSS-INS compensates for degraded signals, while de-icing maintains performance during the 60% loss event. Hybrid flight enables efficient corridor navigation and safe VTOL landing within energy constraints." 2025-11-01T17:52:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_with_Convertiplane_in_Gusty_Urban_Winds_421bfa03e3f1_mcq.json,uavbench-mcq-v1,Bridge_Inspection_with_Convertiplane_in_Gusty_Urban_Winds,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,What airspeed and pitch combination optimizes lift-to-drag ratio during transition at 8 m/s westerly wind and 4.5 m/s gusts?,"This mission involves a convertiplane UAV conducting a bridge inspection in dense urban airspace. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Operating conditions include strong westerly winds at 8 m/s with gusts up to 4.5 m/s, creating challenging flight dynamics. The flight envelope is constrained between 10 m and 120 m AGL within a defined polygon geofence. A cylindrical no-fly zone of 20 m radius is located near the center of the area, restricting access between 10 m and 60 m altitude. The UAV must follow a corridor inspection pattern across four waypoints while maintaining separation from a moving obstacle and other air traffic. A runway takeoff and landing are required, with transition times between vertical and forward flight modes. Battery endurance is limited, with a 30% reserve required and a total time budget of 600 seconds. Key constraints include GNSS multipath risks in urban canyons, wind-induced drift, and maintaining at least 25 m separation from other aircraft. The mission emphasizes precise navigation, energy management, and obstacle avoidance in a complex, dynamic environment.",Increase airspeed to 18 m/s and pitch to 12°,Reduce airspeed to 10 m/s and pitch to 8°,Maintain 15 m/s with 6° pitch during gusts,Pitch up to 15° without changing airspeed,Decrease airspeed to 12 m/s and pitch to 4°,Hold 14 m/s with abrupt 10° pitch increase,Accelerate to 20 m/s and reduce pitch to 5°,"[""Increase airspeed to 18 m/s and pitch to 12°"", ""Reduce airspeed to 10 m/s and pitch to 8°"", ""Maintain 15 m/s with 6° pitch during gusts"", ""Pitch up to 15° without changing airspeed"", ""Decrease airspeed to 12 m/s and pitch to 4°"", ""Hold 14 m/s with abrupt 10° pitch increase"", ""Accelerate to 20 m/s and reduce pitch to 5°""]","At 15 m/s and 6° pitch, the convertiplane operates near its optimal lift-to-drag ratio, balancing gust rejection and propulsive efficiency. Higher pitch or lower airspeed increases angle of attack beyond optimal, risking flow separation and induced drag. This setting maintains controlled transition with minimal energy use, critical under 30% battery reserve and wind shear." 2025-11-01T17:52:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Urban_Canyon_with_Sandstorm_72de55a31079_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Urban_Canyon_with_Sandstorm,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,Which system ensures navigation during 60s GNSS jam at 18 m/s winds with LiDAR/radar fusion and 25m separation?,"This is a bridge inspection mission in an urban canyon environment with significant environmental and operational challenges. The UAV is a high-altitude pseudo-satellite equipped with a comprehensive sensor suite including RGB and thermal cameras, LiDAR, radar, and full navigation sensors. It operates within a defined airspace between 50 and 300 meters AGL, confined by a polygonal geofence and a central no-fly zone cylinder near the bridge structure. The mission takes place during a sandstorm with poor visibility and strong, gusty winds up to 18 m/s increasing with altitude, creating hazardous flight conditions. GNSS signals are degraded due to multipath effects from surrounding buildings and an intentional jamming event of -75 dBm, with a full GNSS jam fault simulated for 60 seconds starting at 300 seconds. The UAV must maintain separation of at least 25 meters from other traffic and moving obstacles, one of which drifts through the flight path at 2.8 m/s. Communication is partially disrupted with downlink failure and two uplink loss windows, limiting remote monitoring and control. The flight pattern follows a rectangular corridor around the bridge structure, requiring precise navigation despite aerodynamic challenges from side winds and turbulence. The aircraft must complete the mission within 15 minutes while managing battery reserves, with a runway-assisted landing required at the end. Key constraints include GNSS reliability, sensor performance in sandstorm conditions, energy management, and maintaining safe separation in a cluttered, dynamic airspace.",Pure GNSS with backup IMU,Vision-only SLAM in sandstorm,LiDAR-INS sensor fusion,Radar-thermal odometry fusion,GPS-dependent waypoint tracking,Magnetometer-based heading control,Acoustic proximity estimation,"[""Pure GNSS with backup IMU"", ""Vision-only SLAM in sandstorm"", ""LiDAR-INS sensor fusion"", ""Radar-thermal odometry fusion"", ""GPS-dependent waypoint tracking"", ""Magnetometer-based heading control"", ""Acoustic proximity estimation""]","LiDAR-INS fusion provides high-precision, GNSS-denied navigation with low drift, critical during jamming. It maintains accuracy in sandstorm conditions where vision fails and outperforms radar in resolution. INS bridges gaps during signal loss while LiDAR tracks terrain features for obstacle avoidance at 25m safety margin." 2025-11-01T17:52:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_with_Glider_in_Harbor_under_Hail_5fbc32d5216b_mcq.json,uavbench-mcq-v1,Bridge_Inspection_with_Glider_in_Harbor_under_Hail,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During 60s icing and GNSS jamming, with 8.5 m/s gusts, what ensures control and secure telemetry?","This scenario involves a bridge inspection mission using a fixed-wing glider UAV equipped with RGB and thermal cameras, as well as LiDAR, in a harbor airspace. The glider operates under challenging weather conditions, including hail and strong, gusty winds up to 8.5 m/s with directional shear increasing with altitude. The environment features thermal updrafts and electromagnetic interference, with significant GNSS multipath effects and moderate jamming. The mission is constrained by static and dynamic no-fly zones, including a central cylinder exclusion zone and a moving obstacle near the flight path. The UAV must adhere to strict altitude limits between 10 and 120 meters AGL within a defined polygonal geofence. A single traffic UAV approaches from the east, requiring separation monitoring with a minimum safe distance of 25 meters. Communication experiences brief downlink outages, and the UAV is subject to an icing event lasting 60 seconds, reducing aerodynamic performance. The glider must complete its corridor-style waypoint mission within 600 seconds, return for a runway landing, and maintain sufficient battery reserves. Sensor performance and navigation reliability are challenged by poor visibility, wind turbulence, and degraded GNSS signals. Mission success depends on avoiding collisions, maintaining separation, and completing the inspection without breaching constraints.",Use encrypted datalink with adaptive update rate,Rely solely on GNSS with maximum update frequency,Disable encryption to reduce communication latency,Switch to open-loop actuator commands for stability,"Authenticate only uplink, not downlink telemetry",Fly open-loop using preloaded unverified waypoints,Use unauthenticated sensor fusion to save power,"[""Use encrypted datalink with adaptive update rate"", ""Rely solely on GNSS with maximum update frequency"", ""Disable encryption to reduce communication latency"", ""Switch to open-loop actuator commands for stability"", ""Authenticate only uplink, not downlink telemetry"", ""Fly open-loop using preloaded unverified waypoints"", ""Use unauthenticated sensor fusion to save power""]","Encrypted and adaptive-rate telemetry maintains confidentiality and availability during jamming and outages. It supports control-loop stability by prioritizing critical data under latency constraints. Other options compromise authentication, enable spoofing, or break closed-loop resilience under icing and GNSS degradation." 2025-11-01T17:52:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_with_Glider_in_Industrial_Plant_5ae54f74449b_mcq.json,uavbench-mcq-v1,Bridge_Inspection_with_Glider_in_Industrial_Plant,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 115m AGL with 13.5 m/s crosswinds, the UAV detects a crossing UAV 30m away and a communication dropout. What action prioritizes safety?","This is a bridge inspection mission using a fixed-wing glider UAV within an industrial plant. The airspace is confined to a 200x200 meter polygon with altitude limits from 10 to 120 meters AGL. Strong crosswinds up to 13.5 m/s increase with altitude and shift direction, creating challenging flight conditions. The glider carries an RGB camera and LIDAR payload for visual and structural inspection. Significant GNSS multipath and electromagnetic interference degrade navigation accuracy near structures. A static no-fly zone protects a critical facility, while a moving no-fly zone and dynamic obstacle simulate shifting hazards. Air traffic includes a crossing UAV, requiring separation maintenance of at least 25 meters. The mission follows a corridor pattern with five waypoints and requires a runway takeoff and landing. Battery reserve is set to 30%, and flight time is limited to 600 seconds. Communication dropouts occur briefly at two intervals, demanding robust autonomy.",Continue mission; maintain altitude and heading,Descend to 15m AGL to reduce wind impact,Climb to 120m AGL for smoother airflow,Abort mission and land immediately,Enter no-fly zone to avoid collision,Fly toward the critical facility for signal boost,Execute lateral avoidance while descending to 25m,"[""Continue mission; maintain altitude and heading"", ""Descend to 15m AGL to reduce wind impact"", ""Climb to 120m AGL for smoother airflow"", ""Abort mission and land immediately"", ""Enter no-fly zone to avoid collision"", ""Fly toward the critical facility for signal boost"", ""Execute lateral avoidance while descending to 25m""]","The UAV must avoid the crossing UAV while managing wind and communication loss. G balances separation, navigation reliability, and regulatory compliance. It avoids prohibited zones and maintains safe altitude, minimizing risk to people and infrastructure." 2025-11-01T17:52:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_under_Microburst_Risk_df3be16c9669_mcq.json,uavbench-mcq-v1,Bridge_Inspection_under_Microburst_Risk,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 360s, icing degrades control during bridge inspection at 110m AGL in 15 m/s winds; microburst risk rises. What immediate action maintains safety?","This UAV mission involves a bridge inspection in a dense urban airspace using a convertiplane UAV equipped with RGB camera and LiDAR payload. The flight occurs under risky weather conditions including a microburst threat and strong winds up to 15 m/s at higher altitudes, increasing with elevation and shifting direction. The UAV must operate within a defined corridor between 10 and 120 meters AGL, avoiding a cylindrical no-fly zone near the bridge structure. GNSS signals are degraded due to multipath effects and moderate jamming, while electromagnetic interference adds navigation challenges. The convertiplane must follow a pre-defined waypoint path with a time budget of 10 minutes, requiring careful energy management from its 1200 Wh battery. A secondary UAV and a moving obstacle simulate dynamic traffic, requiring real-time separation assurance with a 25-meter minimum distance. The UAV must also perform a runway-assisted transition between hover and forward flight, aligned with the 240-degree heading runway. Two faults are injected: a GNSS spoofing event at 210 seconds and an icing condition at 360 seconds, impacting control and aerodynamics. Mission success depends on maintaining airspace compliance, avoiding collisions, and completing the inspection within constraints despite environmental and system challenges.",Continue inspection to meet 10-minute deadline,Descend below 10m AGL to reduce wind exposure,Abort mission and land on nearest roadway,Climb above 120m AGL for smoother airflow,Hold position at 110m AGL to assess icing,Eject LiDAR to reduce weight and improve control,Exit corridor laterally toward designated landing zone,"[""Continue inspection to meet 10-minute deadline"", ""Descend below 10m AGL to reduce wind exposure"", ""Abort mission and land on nearest roadway"", ""Climb above 120m AGL for smoother airflow"", ""Hold position at 110m AGL to assess icing"", ""Eject LiDAR to reduce weight and improve control"", ""Exit corridor laterally toward designated landing zone""]","Exiting laterally toward a designated zone maintains airspace compliance, avoids populated areas, and prioritizes controlled response over mission completion. Continuing or descending violates altitude constraints, while climbing or holding increases collision and structural risk. Landing on a roadway endangers civilians and violates urban flight regulations." 2025-11-01T17:52:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_with_Heavy_Lift_UAV_in_Wind_Farm_17988f631e48_mcq.json,uavbench-mcq-v1,Bridge_Inspection_with_Heavy_Lift_UAV_in_Wind_Farm,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 15 m AGL near turbine 3, with 7 m/s wind from 240° and GNSS multipath, which navigation strategy maintains accuracy?","This scenario involves a bridge inspection mission using a heavy-lift UAV within a wind farm environment. The airspace is constrained by static and dynamic no-fly zones, including a central cylinder and a moving restricted area. The UAV operates under moderate wind conditions of 7 m/s from 240 degrees, with gusts up to 3.5 m/s. Equipped with RGB and thermal cameras, LiDAR, and full GNSS/IMU suite, the UAV carries a 5 kg inspection payload. Flight altitude is limited between 10 m and 120 m AGL within a defined polygonal geofence. The mission follows a corridor pattern with five waypoints and a 600-second time budget. A single traffic UAV enters from the east, flying westward at 12 m/s. A moving spherical obstacle drifts left at 2 m/s, adding dynamic collision risk. The UAV must avoid both static and dynamic no-fly zones while maintaining separation from traffic and obstacles. GNSS multipath effects may occur near turbines, and reserve power is set to 30% for safe return.",Use only GNSS with carrier-phase correction,Rely solely on IMU dead reckoning,Fuse LiDAR SLAM with visual odometry,Trust thermal-camera-based motion tracking,Switch to pure GPS waypoint following,Use magnetometer heading in turbine proximity,Disable sensor fusion during gusts,"[""Use only GNSS with carrier-phase correction"", ""Rely solely on IMU dead reckoning"", ""Fuse LiDAR SLAM with visual odometry"", ""Trust thermal-camera-based motion tracking"", ""Switch to pure GPS waypoint following"", ""Use magnetometer heading in turbine proximity"", ""Disable sensor fusion during gusts""]","Near turbines, GNSS multipath degrades positioning; LiDAR SLAM and visual odometry provide terrain-relative localization unaffected by RF interference. Fusing these sensors maintains spatial consistency despite 7 m/s wind and avoids magnetometer distortion near metal structures. This approach preserves perception integrity and enables safe low-altitude corridor tracking." 2025-11-01T17:52:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_with_Glider_in_Offshore_Crosswinds_1e9988028b38_mcq.json,uavbench-mcq-v1,Bridge_Inspection_with_Glider_in_Offshore_Crosswinds,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"Given GNSS multipath and 13 m/s winds, how should the UAV maintain navigation integrity during bridge inspection?","This UAV mission involves a glider conducting a bridge inspection in an offshore platform environment. The aircraft operates within a defined airspace bounded by a polygonal geofence, with altitude restricted between 10 and 120 meters AGL. Winds are moderate to strong, increasing with altitude from 8.5 m/s at sea level to 13 m/s at 100 meters, blowing from 240–255 degrees with gusts up to 4 m/s. The glider is equipped with a battery-powered propulsion system and carries an RGB camera payload for visual inspection. Key constraints include a static no-fly zone around the bridge structure and a moving no-fly zone that drifts northwest, requiring dynamic avoidance. Additional hazards include GNSS multipath effects and electromagnetic interference, which may degrade navigation accuracy. A thermal updraft is present near the bridge, which the glider can exploit for lift. The mission must be completed within 600 seconds, following a corridor inspection pattern while maintaining safe separation from obstacles and a single traffic UAV. Communication links experience brief outages, and the flight must manage battery reserves carefully to ensure safe return. The scenario emphasizes energy-efficient soaring, precise navigation, and robust obstacle avoidance in a challenging offshore environment.",Rely solely on GNSS with Kalman filter smoothing,Switch to visual-inertial odometry upon GNSS anomaly detection,Increase control loop frequency to 200 Hz during gusts,Use unencrypted telemetry for faster sensor fusion,Disable obstacle avoidance to prioritize camera payload,Trust all commands from ground station without authentication,Descend to 5 m AGL to reduce wind exposure and jamming,"[""Rely solely on GNSS with Kalman filter smoothing"", ""Switch to visual-inertial odometry upon GNSS anomaly detection"", ""Increase control loop frequency to 200 Hz during gusts"", ""Use unencrypted telemetry for faster sensor fusion"", ""Disable obstacle avoidance to prioritize camera payload"", ""Trust all commands from ground station without authentication"", ""Descend to 5 m AGL to reduce wind exposure and jamming""]","Visual-inertial odometry provides resilient navigation under GNSS degradation, preserving integrity and availability. It maintains control stability by fusing trusted sensor data without relying on spoofable signals. This ensures mission continuity and obstacle awareness despite electromagnetic interference and wind disturbances." 2025-11-01T17:52:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_with_Swarm_Drones_in_Industrial_Plant_under_Rain_67152292e7f9_mcq.json,uavbench-mcq-v1,Bridge_Inspection_with_Swarm_Drones_in_Industrial_Plant_under_Rain,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"At 200s, icing begins and GNSS fails for 30s. Drones must maintain 8m separation and inspect bridge sections under wind shear. What action ensures swarm integrity and coverage?","Swarm drones conduct a bridge inspection in an industrial plant under rainy and icy conditions. The mission operates within a confined airspace bounded by a geofence from 5 to 60 meters AGL. Weather includes strong winds up to 10 m/s, poor visibility, rain, and potential icing on drone surfaces. Four octocopter drones with RGB cameras and LiDAR form a swarm, each carrying a 0.3 kg payload. A static no-fly zone surrounds critical infrastructure, while a moving no-fly zone and dynamic obstacle simulate active hazards. GNSS signals suffer from multipath effects and jamming, with a 30-second outage simulated during flight. Wind shear increases with altitude, and thermal updrafts near industrial equipment affect stability. The drones must maintain 8-meter inter-vehicle separation and avoid a manned UAV entering the airspace. Battery endurance is limited, with a 30% reserve required for safe return under adverse conditions. Icing conditions at 200 seconds and communication dropouts add risk to the time-constrained inspection.",All drones descend to 5m AGL to avoid wind shear and icing,Drones pause motion until GNSS resumes for precise positioning,Switch to LiDAR-relative navigation with leader-follower spacing control,Increase speed to finish inspection before battery drops below 30%,Two drones return; two continue to conserve total energy,Drones spread vertically to use thermal updrafts for lift,Abort mission and disperse laterally to exit geofence rapidly,"[""All drones descend to 5m AGL to avoid wind shear and icing"", ""Drones pause motion until GNSS resumes for precise positioning"", ""Switch to LiDAR-relative navigation with leader-follower spacing control"", ""Increase speed to finish inspection before battery drops below 30%"", ""Two drones return; two continue to conserve total energy"", ""Drones spread vertically to use thermal updrafts for lift"", ""Abort mission and disperse laterally to exit geofence rapidly""]","Switching to LiDAR-relative navigation maintains positioning during GNSS outage while preserving 8m separation through local sensing. Leader-follower control ensures coordinated motion without centralized coordination, enabling continued inspection under icing and communication constraints. Other options violate spacing, endurance, or mission continuity requirements." 2025-11-01T17:52:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Patrol_in_Low_Visibility_e979794ee6e9_mcq.json,uavbench-mcq-v1,Bridge_Patrol_in_Low_Visibility,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"At 320s, icing hits with 12 m/s winds; UAV must inspect corridor, avoid static/moving NFZs, and land in 10 min with 25m separation.","This UAV mission is a bridge inspection conducted in a restricted bridge site airspace with poor visibility and icing conditions. The convertiplane UAV is equipped with a battery-powered propulsion system and carries a multi-sensor payload including RGB and thermal cameras, LiDAR, and radar. It operates under challenging weather with 8 m/s winds from 240°, increasing to 12 m/s at altitude, and experiences gusts and wind shear. The flight environment includes GNSS multipath, moderate jamming at -75 dBm, and electromagnetic interference affecting navigation. The airspace features a static no-fly zone over the bridge center and a moving no-fly zone drifting diagonally, along with dynamic obstacles. The UAV must follow a corridor inspection pattern with a strict time budget of 10 minutes and requires runway-assisted takeoff and landing. Separation from traffic and obstacles must be maintained above 25 meters, with a minimum time-to-collision threshold of 20 seconds. An icing fault is simulated at 320 seconds, reducing performance for one minute. The UAV spawns near the runway threshold and must manage battery reserves carefully to complete the mission and land safely within altitude and geofence constraints.",Climb to 120m to reduce gust impact and improve GNSS signal,Descend to 40m AGL and slow to 8 m/s to minimize icing risk,Hold position at 60m AGL until moving NFZ passes inspection corridor,"Divert immediately to runway, aborting inspection to preserve battery",Increase speed to 15 m/s to finish inspection before icing worsens,"Turn 30° left to avoid multipath, continue inspection at 70m AGL","Execute emergency descent to 30m, then proceed to landing after inspection","[""Climb to 120m to reduce gust impact and improve GNSS signal"", ""Descend to 40m AGL and slow to 8 m/s to minimize icing risk"", ""Hold position at 60m AGL until moving NFZ passes inspection corridor"", ""Divert immediately to runway, aborting inspection to preserve battery"", ""Increase speed to 15 m/s to finish inspection before icing worsens"", ""Turn 30° left to avoid multipath, continue inspection at 70m AGL"", ""Execute emergency descent to 30m, then proceed to landing after inspection""]","Descending to 40m AGL reduces exposure to higher winds and icing severity while maintaining safe separation. It conserves battery under degraded performance and avoids multipath near the bridge structure. Other options violate time, separation, or endurance constraints, or increase risk during critical fault." 2025-11-01T17:52:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Pipeline_Inspection_with_Convertiplane_673fcfbec5be_mcq.json,uavbench-mcq-v1,Bridge_Pipeline_Inspection_with_Convertiplane,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,Which route avoids the moving NFZ and maintains 25 m separation from a competing UAV flying east at 18 m/s with 15-second TTC threshold?,"This is a bridge pipeline inspection mission using a convertiplane UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The operation takes place within a defined bridge site airspace bounded by a polygonal geofence and includes both static and moving no-fly zones. Weather conditions feature moderate to strong winds increasing with altitude, shifting direction from 240° at ground level to 260° aloft, with gusts up to 4.5 m/s. The UAV must navigate around a stationary cylindrical NFZ near the bridge and avoid a dynamically moving obstacle and a drifting no-fly cylinder. GNSS signals are degraded by multipath effects and electromagnetic interference, with occasional jamming at -85 dBm, requiring robust positioning solutions. The mission follows a corridor inspection pattern across four waypoints at altitudes between 20 and 35 meters, with strict separation requirements of 25 meters from other traffic. A competing UAV enters the airspace from the east, flying at 18 m/s, necessitating detect-and-avoid compliance with a 15-second time-to-collision threshold. The convertiplane must perform runway-assisted takeoff and landing, transitioning between VTOL and fixed-wing modes within specified time intervals. Communication experiences two brief downlink loss windows, and signal strength may drop to -92 dBm, demanding resilient data handling. Thermal updrafts near the bridge offer potential lift but must be managed carefully amid wind shear and turbulence.","Climb to 35 m, fly direct to WP3, delay WP2 inspection","Descend to 20 m, proceed to WP1, ignore thermal updrafts","Deviate north at 30 m, intercept WP2 on scheduled time","Hold at WP1, wait 20 sec for UAV to pass, resume path",Cut inside cylindrical NFZ at 22 m to save 8 seconds,"Accelerate to 22 m/s toward WP2, maintain 28 m altitude","Reroute south at 32 m, delay WP2 by 12 seconds safely","[""Climb to 35 m, fly direct to WP3, delay WP2 inspection"", ""Descend to 20 m, proceed to WP1, ignore thermal updrafts"", ""Deviate north at 30 m, intercept WP2 on scheduled time"", ""Hold at WP1, wait 20 sec for UAV to pass, resume path"", ""Cut inside cylindrical NFZ at 22 m to save 8 seconds"", ""Accelerate to 22 m/s toward WP2, maintain 28 m altitude"", ""Reroute south at 32 m, delay WP2 by 12 seconds safely""]","Option C balances obstacle avoidance and timing by using a lateral deviation at optimal altitude to preserve corridor alignment and maintain 25 m separation. It avoids GNSS-degraded zones near the bridge while adhering to the 15-second TTC rule. Other choices either breach NFZ boundaries, increase collision risk, or inefficiently extend mission time." 2025-11-01T17:52:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Site_Disaster_Recon_Octocopter_8b601155667e_mcq.json,uavbench-mcq-v1,Bridge_Site_Disaster_Recon_Octocopter,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"Given 8.5–12 m/s winds, 60s icing, and GNSS jamming, what action maintains mission safety within 5–120m AGL and avoids moving obstacles?","This is a search and rescue mission using an octocopter UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The operation takes place near a bridge site in poor visibility with active snowfall and icing conditions. Wind speeds range from 8.5 m/s at ground level to 12 m/s at 100 m altitude, blowing from the west to northwest. The UAV must operate within a defined polygon airspace between 5 and 120 meters AGL, avoiding two no-fly zones—one static and one moving slowly eastward. A dynamic moving obstacle drifts westward at 1 m/s, requiring real-time avoidance. GNSS signals are degraded due to multipath effects and a temporary jamming event, while electromagnetic interference is present. The mission includes a pre-defined corridor pattern with five waypoints, culminating in a loiter near the bridge center, all within a 10-minute time limit. The UAV faces two fault events: a 60-second icing incident reducing performance and a 30-second GNSS jamming outage. Communication experiences two brief downlink loss windows, demanding resilient data handling and safe operation under constrained navigation.",Climb to 120m AGL immediately to escape icing layer,Descend to 5m AGL and hold until GNSS recovers,"Maintain 45m AGL, follow corridor, use dead reckoning",Abort mission and return to west-side runway,Increase speed to complete loiter before 10 minutes,Fly eastward to avoid jamming zone near bridge,Hover at current position until downlink stabilizes,"[""Climb to 120m AGL immediately to escape icing layer"", ""Descend to 5m AGL and hold until GNSS recovers"", ""Maintain 45m AGL, follow corridor, use dead reckoning"", ""Abort mission and return to west-side runway"", ""Increase speed to complete loiter before 10 minutes"", ""Fly eastward to avoid jamming zone near bridge"", ""Hover at current position until downlink stabilizes""]","Maintaining 45m AGL stays within the safe altitude band while avoiding the upper wind and lower obstacle risks. It uses sensor redundancy and dead reckoning during GNSS outages, follows the predefined path for systematic coverage, and balances timing with obstacle avoidance. Other options violate altitude limits, increase exposure to icing or multipath, or fail to progress under time constraints." 2025-11-01T17:52:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Sandstorm_-_Dense_Urban_3eafd00d6608_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Sandstorm_-_Dense_Urban,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,B,False,"UAV inspects bridge in sandstorm with 12–16 m/s winds, GNSS jamming at 120s, and IMU bias at 300s. Which action balances safety, navigation, and energy?","Helicopter UAV conducts bridge inspection in dense urban airspace during a sandstorm with poor visibility. Strong winds of 12 m/s from 240° increase to 16 m/s at higher altitudes with gusts up to 6 m/s. The UAV is equipped with RGB and thermal cameras, LiDAR, radar, and full suite of navigation sensors. Mission requires navigating a corridor pattern around tall structures within a 200x150m urban zone. A static no-fly zone blocks access near the bridge center, while a dynamic no-fly zone moves slowly through the area. GNSS suffers from multipath effects and jamming at -85 dBm, with a planned GNSS jamming fault at 120 seconds. IMU bias fault is introduced at 300 seconds, challenging navigation integrity. UAV must maintain separation of at least 25 meters from other traffic and avoid a moving spherical obstacle. Downlink communication fails intermittently, with two significant loss windows during the mission. Battery capacity limits flight time, requiring efficient path planning within the 600-second time budget.",Climb to 100m for clearer GNSS and reduced turbulence,Fly corridor at 40m using LiDAR and radar for obstacle avoidance,Descend to 20m to reduce wind exposure and save power,Hover for 30s at 120s to reset navigation after GNSS loss,Preemptively switch to full IMU-only mode at 250s,Increase speed to 15 m/s to finish before battery depletion,Follow dynamic no-fly zone edge using radar and thermal fusion,"[""Climb to 100m for clearer GNSS and reduced turbulence"", ""Fly corridor at 40m using LiDAR and radar for obstacle avoidance"", ""Descend to 20m to reduce wind exposure and save power"", ""Hover for 30s at 120s to reset navigation after GNSS loss"", ""Preemptively switch to full IMU-only mode at 250s"", ""Increase speed to 15 m/s to finish before battery depletion"", ""Follow dynamic no-fly zone edge using radar and thermal fusion""]","Flying at 40m balances wind exposure, sensor reliability, and separation from obstacles. It maintains aerodynamic stability in gusts while leveraging LiDAR and radar to compensate for GNSS faults. This altitude preserves energy, avoids static and moving obstacles, and ensures mission completion within the 600-second window." 2025-11-01T17:52:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Site_Recon_Amphibious_UAV_b95b1f5f95ed_mcq.json,uavbench-mcq-v1,Bridge_Site_Recon_Amphibious_UAV,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"A UAV must survey a bridge site below 150 m AGL, avoid a 45s GNSS fault, and land on a designated runway within 600s.","This is a survey mission conducted by an amphibious UAV at a bridge construction site. The airspace is constrained between 10 and 150 meters AGL, with a defined polygon geofence and a cylindrical no-fly zone over sensitive infrastructure. Weather includes moderate winds at 8.5 m/s from 240 degrees, increasing with altitude, and a risk of lightning. The UAV is equipped with RGB and thermal cameras, LIDAR, and standard navigation sensors, relying solely on battery power. A critical constraint is a scheduled GNSS jamming fault lasting 45 seconds with 80% severity, compounded by general electromagnetic interference. The UAV must maintain separation of at least 25 meters from other traffic, including a crossing UAV and a moving spherical obstacle near the site. Communication experiences brief downlink losses at two intervals, requiring robust data handling. The mission requires use of a designated runway for operations and must be completed within 600 seconds. Battery reserve is set to 30%, and ending energy, geofence compliance, and minimum separation are key performance metrics. Wind shear and gusts add aerodynamic challenges, especially during low-altitude flight near the bridge structure.","Fly at 140 m AGL, complete survey, land immediately after GNSS recovery","Descend to 20 m AGL pre-fault, continue survey, land at 580s","Delay launch by 60s to avoid wind shear, fly at 100 m AGL",Enter cylindrical NFZ at 80 m AGL to shorten survey path,Reroute outside geofence during GNSS fault to reduce EM interference,"Hover at 50 m AGL during fault, resume, land at 610s","Climb to 160 m AGL for better comms, descend post-fault","[""Fly at 140 m AGL, complete survey, land immediately after GNSS recovery"", ""Descend to 20 m AGL pre-fault, continue survey, land at 580s"", ""Delay launch by 60s to avoid wind shear, fly at 100 m AGL"", ""Enter cylindrical NFZ at 80 m AGL to shorten survey path"", ""Reroute outside geofence during GNSS fault to reduce EM interference"", ""Hover at 50 m AGL during fault, resume, land at 610s"", ""Climb to 160 m AGL for better comms, descend post-fault""]","Flying at 20 m AGL reduces wind exposure and multipath during GNSS fault while staying within AGL limits. It avoids the NFZ, maintains separation, and finishes before 600s. Other options violate altitude, timing, or NFZ constraints." 2025-11-01T17:52:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Site_Inspection_in_Underground_Mine_with_Thermal_Updrafts_17f476008aa1_mcq.json,uavbench-mcq-v1,Bridge_Site_Inspection_in_Underground_Mine_with_Thermal_Updrafts,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Heavy-lift UAV inspects mine with 2.8 m/s updrafts, 45s GNSS jamming at 240s, and must land with reserve battery after 600s.","Heavy-lift UAV conducts bridge inspection in an underground mine with poor visibility and thermal updrafts. Flight occurs within a confined polygonal airspace with strict altitude limits between 1 and 40 meters AGL. Two thermal plumes create localized updrafts of up to 2.8 m/s, impacting flight stability. UAV is equipped with LiDAR, RGB and thermal cameras, relying on IMU, magnetometer, and barometer due to no GNSS. Significant GNSS multipath and jamming are present, with a deliberate 45-second GNSS jamming fault at 240 seconds. A static no-fly zone and a moving cylindrical NFZ with drift require real-time avoidance. A single intruder UAV and a moving spherical obstacle challenge separation safety. Downlink communication fails during the jamming event, limiting telemetry transmission. Mission requires completing a corridor inspection pattern within 600 seconds using discrete control actions. Landing must occur at a preferred or emergency site with sufficient battery reserve after fault exposure.",Fly fastest speed throughout to minimize exposure to updrafts,Disable thermal camera to save power during jamming event,Climb to 40m AGL early to avoid moving cylindrical NFZ below,Transmit full LiDAR data stream during downlink failure,Execute hovering scan at each waypoint for maximum data quality,Reroute instantly into updraft zone to gain altitude without power,Reduce sensor suite power and optimize path for battery endurance,"[""Fly fastest speed throughout to minimize exposure to updrafts"", ""Disable thermal camera to save power during jamming event"", ""Climb to 40m AGL early to avoid moving cylindrical NFZ below"", ""Transmit full LiDAR data stream during downlink failure"", ""Execute hovering scan at each waypoint for maximum data quality"", ""Reroute instantly into updraft zone to gain altitude without power"", ""Reduce sensor suite power and optimize path for battery endurance""]","Reducing sensor power conserves energy during critical phases, especially when downlink fails and data cannot be transmitted. Path optimization avoids unnecessary maneuvers, balancing mission completion with battery constraints. This ensures safe return with reserve after fault exposure while maintaining inspection coverage." 2025-11-01T17:52:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_with_VTOL_Tiltrotor_under_Microburst_Risk_29e91ba0a0e5_mcq.json,uavbench-mcq-v1,Bridge_Inspection_with_VTOL_Tiltrotor_under_Microburst_Risk,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Which path optimizes bridge inspection at 5–120 m AGL, avoids the cylindrical NFZ, and adapts to a moving obstacle under 14.5 m/s winds?","This mission involves a VTOL tiltrotor UAV conducting a bridge inspection in a designated airspace near a runway. The UAV operates within a 5–120 m AGL altitude range, restricted by a polygon geofence and a cylindrical no-fly zone around the bridge structure. Weather conditions include strong winds up to 14.5 m/s with a microburst risk, increasing wind shear with altitude, and good visibility. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, supporting visual and structural inspection. It must follow a corridor flight pattern through five waypoints while avoiding a moving obstacle simulating bridge traffic. The mission requires runway-assisted takeoff and landing, with a preferred landing site at the runway threshold. GNSS jamming and motor failure faults are introduced, along with downlink communication outages, testing resilience. The UAV must maintain separation from intruder traffic and avoid DAA breaches under challenging wind and sensor degradation. Battery endurance is critical, with a 30% reserve required and energy use impacted by gusts and maneuvers. Performance is evaluated on mission success, safety metrics, and system robustness.",Fly direct between waypoints at 120 m AGL to minimize time,Descend to 5 m AGL between all waypoints to evade wind shear,"Follow corridor pattern, adjust heading to avoid NFZ and obstacle",Circle bridge at 60 m AGL despite GNSS outage and jamming,Delay waypoint progression until motor stabilizes post-failure,Reroute outside geofence to reduce gust exposure and rejoin later,Hover at each waypoint for 30 seconds regardless of traffic,"[""Fly direct between waypoints at 120 m AGL to minimize time"", ""Descend to 5 m AGL between all waypoints to evade wind shear"", ""Follow corridor pattern, adjust heading to avoid NFZ and obstacle"", ""Circle bridge at 60 m AGL despite GNSS outage and jamming"", ""Delay waypoint progression until motor stabilizes post-failure"", ""Reroute outside geofence to reduce gust exposure and rejoin later"", ""Hover at each waypoint for 30 seconds regardless of traffic""]","Option C maintains the required corridor pattern within 5–120 m AGL, respects the cylindrical NFZ boundary, and dynamically adjusts for the moving obstacle. It balances wind effects and sensor degradation while preserving mission timing and energy use. Other options violate altitude limits, increase exposure, or breach spatial constraints." 2025-11-01T17:52:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Site_Snowfall_Delivery_7b59eb852e53_mcq.json,uavbench-mcq-v1,Bridge_Site_Snowfall_Delivery,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"An octocopter carries 2 kg with 1200 Wh battery, 8 m/s west wind, gusts +4 m/s. What minimizes power while maintaining 18 m/s forward flight?","This is a package delivery mission using an octocopter UAV equipped with GNSS, IMU, lidar, and RGB camera, operating in a bridge site airspace. The UAV carries a 2 kg payload and is powered by a 1200 Wh battery, with a maximum speed of 18 m/s. The environment features poor visibility due to ongoing snowfall, with a constant 8 m/s wind from the west and gusts up to 4 m/s. The operational altitude ranges from 10 to 120 meters AGL, within a defined rectangular geofence. A static no-fly zone is located at the center of the area, and a dynamic no-fly zone moves slowly through the airspace. The UAV must avoid a descending spherical obstacle and maintain at least 25 meters separation from other air traffic. Communication experiences brief uplink/downlink losses at specific intervals, requiring robust autonomy. The mission must be completed within 600 seconds, following a corridor flight pattern through four waypoints. Landing is planned at a preferred site in the southeast corner, with an emergency option available. GNSS multipath effects may occur near the bridge structure, and flight near obstacles increases collision risk.",Increase angle of attack to boost lift efficiency,Fly downwind at reduced throttle to exploit tailwind,Bank into wind to decrease groundspeed and save power,Pitch down slightly to reduce induced drag,Hover periodically to reset IMU and conserve energy,Climb to 120 m to avoid gusts and lower density drag,Alternate motor speeds to balance thrust and trim drag,"[""Increase angle of attack to boost lift efficiency"", ""Fly downwind at reduced throttle to exploit tailwind"", ""Bank into wind to decrease groundspeed and save power"", ""Pitch down slightly to reduce induced drag"", ""Hover periodically to reset IMU and conserve energy"", ""Climb to 120 m to avoid gusts and lower density drag"", ""Alternate motor speeds to balance thrust and trim drag""]","Pitching down slightly reduces angle of attack, minimizing induced drag while maintaining airspeed, which optimizes propeller efficiency and power use. Flying at 18 m/s requires balancing parasitic and induced drag; reducing AoA shifts operating point toward minimum total drag. Other options either increase drag, reduce control authority, or misapply aerodynamic forces under wind loading." 2025-11-01T17:52:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Amphibious_UAV_High_Crosswind_Training_in_Rain_bd6f29284a2b_mcq.json,uavbench-mcq-v1,Coastal_Amphibious_UAV_High_Crosswind_Training_in_Rain,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 480s, UAV faces 30s GNSS jamming and uplink loss near moving NFZ drifting at 2.5 m/s with 16 m/s westbound intruder 15s away.","This is an inspection mission using an amphibious fixed-wing VTOL UAV in coastal airspace. The UAV operates within a 5 to 150-meter AGL altitude band, navigating a predefined corridor of waypoints. Weather conditions include strong crosswinds from 240° at 14 m/s, gusts up to 4.5 m/s, and poor visibility due to rain, with wind increasing in speed and shifting direction with altitude. The UAV is equipped with a battery-powered propulsion system, carries a 1.2 kg payload, and features multi-sensor redundancy including GNSS, IMU, radar, lidar, and RGB camera. Notable constraints include a static no-fly zone centered at (400, 300) and a moving no-fly zone drifting at 2.5 m/s, requiring dynamic avoidance. The environment introduces GNSS multipath, electromagnetic interference, and a planned 30-second GNSS jamming fault at -75 dBm, coinciding with uplink communication loss. Air traffic includes a single intruder UAV flying westbound at 16 m/s, with a minimum separation threshold of 25 meters and 15-second time-to-closest-approach. The mission requires a runway takeoff and landing, with transition phases between VTOL and forward flight taking 8 and 10 seconds respectively. The UAV must complete the inspection within 600 seconds while managing battery reserves and avoiding geofence, altitude, and separation violations.",Descend to 5m AGL and hold until GNSS recovers,Climb to 150m AGL for better signal reception,Execute lateral avoidance turn away from intruder and NFZ,Pitch into descent toward runway with fixed glide angle,Increase speed to exit NFZ before drift blocks path,Transition to VTOL mode and hover at current position,Follow nominal path using radar-lidar dead reckoning,"[""Descend to 5m AGL and hold until GNSS recovers"", ""Climb to 150m AGL for better signal reception"", ""Execute lateral avoidance turn away from intruder and NFZ"", ""Pitch into descent toward runway with fixed glide angle"", ""Increase speed to exit NFZ before drift blocks path"", ""Transition to VTOL mode and hover at current position"", ""Follow nominal path using radar-lidar dead reckoning""]","Option C avoids both the moving NFZ and the intruder while maintaining AGL limits and using redundant sensors. Descending (A), hovering (F), or climbing (B) increase separation risk or violate endurance. Following the nominal path (G) ignores dynamic hazards. Continuing to runway (D) or accelerating (E) may not clear the NFZ drift or could breach separation." 2025-11-01T17:52:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_under_Thermal_Updrafts_182762465537_mcq.json,uavbench-mcq-v1,Bridge_Inspection_under_Thermal_Updrafts,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"At 405s, downlink lost; moving obstacle near WP3; battery at 38%; wind gusts 3.2 m/s: what next?","This UAV mission involves a bridge inspection in a dense urban airspace using a fixed-wing solar-powered UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The aircraft operates within a defined geofenced corridor between 10 and 150 meters AGL, avoiding static and moving no-fly zones, including a dynamic cylindrical exclusion zone drifting at 2.5 m/s. Strong thermal updrafts near the bridge create localized vertical winds up to 2.1 m/s, which can affect flight stability and energy efficiency. Winds are from 240 degrees at 6.5 m/s with gusts up to 3.2 m/s, requiring careful trajectory planning. GNSS signals suffer from multipath effects and moderate jamming at -75 dBm, compounded by electromagnetic interference, degrading positioning accuracy near structures. The UAV must follow a predefined corridor inspection pattern with multiple waypoints, completing the mission within 900 seconds while maintaining safe separation from traffic and obstacles. Two other UAVs are present in the airspace, moving on straight paths, and a moving spherical obstacle drifts near a key waypoint, necessitating real-time avoidance. Communication links experience brief downlink losses between 120–135 and 400–410 seconds, requiring robust autonomy during outages. Battery endurance is critical, with a 450 Wh capacity and 30% reserve required, influenced by drag, manoeuvring, and wind. The UAV spawns at 600,500,30 and must return to its preferred landing site unless an emergency arises, with two alternate sites available.","Continue to WP3, trust autonomy, resume downlink at 410s","Abort mission, divert to alternate landing site immediately","Climb to 160m AGL for clearer GNSS, then reassess","Descend to 20m AGL to reduce wind impact, avoid obstacle","Hover near WP3, wait for downlink restoration","Transmit emergency signal, land at nearest open zone","Eject payload to reduce weight, proceed to primary site","[""Continue to WP3, trust autonomy, resume downlink at 410s"", ""Abort mission, divert to alternate landing site immediately"", ""Climb to 160m AGL for clearer GNSS, then reassess"", ""Descend to 20m AGL to reduce wind impact, avoid obstacle"", ""Hover near WP3, wait for downlink restoration"", ""Transmit emergency signal, land at nearest open zone"", ""Eject payload to reduce weight, proceed to primary site""]","The UAV has sufficient battery (above 30% reserve), operates within geofence, and autonomy is designed for 15-second comms loss. Continuing preserves mission integrity while avoiding unnecessary risk from landing in unprepared areas or violating airspace limits. Other options either escalate risk, waste resources, or breach operational protocols." 2025-11-01T17:52:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Amphibious_UAV_Mission_with_Moving_NFZ_fd135138f1c4_mcq.json,uavbench-mcq-v1,Coastal_Amphibious_UAV_Mission_with_Moving_NFZ,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,Which route adjusts for the drifting NFZ at 2.5 m/s southwest while maintaining 25 m separation from westbound UAV at 15 m/s under 7.5 m/s winds?,"This is a coastal amphibious UAV survey mission using a fixed-wing hybrid drone with RGB camera and LiDAR payload. The flight occurs in coastal airspace with a defined geofenced area and two no-fly zones, one of which moves dynamically. Weather includes strong 7.5 m/s winds from 240°, rain, and poor visibility, increasing navigation difficulty. The UAV is a battery-powered amphibious hexacopter with aerodynamic features for efficient forward flight. It must follow a corridor survey pattern while avoiding static and moving obstacles, including a drifting NFZ moving southwest at 2.5 m/s. Air traffic includes another UAV flying westbound at 15 m/s, requiring separation monitoring. The minimum safe separation is set at 25 meters with a time-to-close threshold of 15 seconds. GNSS signals may suffer multipath interference near the water and terrain, challenging positioning accuracy. The mission must be completed within 600 seconds, starting from an inland point and aiming for a coastal landing site. Battery reserve is set to 30%, limiting available energy for wind resistance and detours.","Fly direct to coastal landing, ignoring drift prediction","Delay takeoff to let UAV pass, then follow original path","Shift survey pattern 40 m north, increase speed to 18 m/s",Descend to 30 m AGL to avoid GNSS multipath near water,"Reroute eastward around NFZ, postpone coastal approach",Maintain plan but reduce speed to conserve battery in rain,"Advance waypoints west, synchronize with UAV transit gap","[""Fly direct to coastal landing, ignoring drift prediction"", ""Delay takeoff to let UAV pass, then follow original path"", ""Shift survey pattern 40 m north, increase speed to 18 m/s"", ""Descend to 30 m AGL to avoid GNSS multipath near water"", ""Reroute eastward around NFZ, postpone coastal approach"", ""Maintain plan but reduce speed to conserve battery in rain"", ""Advance waypoints west, synchronize with UAV transit gap""]","Option G optimally anticipates the moving NFZ and westbound UAV by adjusting waypoint timing to exploit a safe transit window. It maintains the survey corridor and altitude band, minimizing energy use while respecting separation thresholds. Other choices either breach NFZ boundaries, increase exposure to wind, or waste battery with inefficient deviations." 2025-11-01T17:52:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_BVLOS_Dust_Test_with_Quadrotor_6db10c0a005a_mcq.json,uavbench-mcq-v1,Coastal_BVLOS_Dust_Test_with_Quadrotor,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Plan route between waypoints with 10–120m AGL, avoid moving NFZ, and maintain 25m separation with 15s time-to-closest approach.","This is a BVLOS coastal survey mission using a battery-powered quadrotor UAV equipped with an RGB camera. The flight occurs in a defined coastal airspace with a rectangular geofenced area and both static and moving no-fly zones. Weather conditions include moderate wind from the southwest, gusts, and poor visibility due to dust. The UAV must navigate a grid pattern survey between five waypoints while maintaining altitudes between 10 and 120 meters AGL. A dynamic no-fly zone moves through the area, requiring real-time avoidance. Another UAV and a moving spherical obstacle are present, enforcing separation requirements of 25 meters and a time-to-closest approach threshold of 15 seconds. GNSS signals may suffer from multipath effects near ground structures, and brief communication outages are expected at specific mission times. The quadrotor has limited battery endurance, with a 10-minute time budget and 30% reserve required. Mission success depends on completing the survey without collisions, geofence breaches, or loss of separation.","Fly direct, descend to 8m AGL to save battery",Climb to 130m AGL for better GNSS reception,Delay W3 by 90 seconds to wait for NFZ passage,Cut southeast diagonal through dynamic NFZ to save time,"Reroute west around NFZ, maintain 110m AGL",Hover at W2 for 2 minutes to avoid conflict,Advance W4 arrival to compensate for comms outage,"[""Fly direct, descend to 8m AGL to save battery"", ""Climb to 130m AGL for better GNSS reception"", ""Delay W3 by 90 seconds to wait for NFZ passage"", ""Cut southeast diagonal through dynamic NFZ to save time"", ""Reroute west around NFZ, maintain 110m AGL"", ""Hover at W2 for 2 minutes to avoid conflict"", ""Advance W4 arrival to compensate for comms outage""]","Rerouting west avoids the moving NFZ while staying within altitude limits and preserving separation. It minimizes detour distance and respects time-critical comms outages. Other options breach AGL, NFZ, or waste battery." 2025-11-01T17:52:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_BVLOS_Solar_Wing_Survey_5240b6f0b3fd_mcq.json,uavbench-mcq-v1,Coastal_BVLOS_Solar_Wing_Survey,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"With 1800 Wh battery and 600-second mission, which action maximizes survey coverage while avoiding the moving obstacle near (200, 300, 100)?","This is a BVLOS coastal survey mission using a solar-powered fixed-wing UAV equipped with RGB and thermal cameras. The flight occurs in coastal airspace with a maximum altitude of 450 m AGL and a minimum of 30 m AGL. Winds are from 240° at 8.5 m/s at sea level, increasing to 14 m/s at 300 m with shifting direction. The UAV is a high-efficiency solar wing type with a 12.5 kg mass and 1800 Wh battery, carrying a 1.2 kg payload. A no-fly zone cylinder is present at (400, 150) with a 50 m radius and vertical limits from 30 to 200 m. The mission requires runway-aligned takeoff and landing with a 400 m runway heading 270°. The UAV must avoid a moving spherical obstacle traveling east at 3 m/s near (200, 300, 100). It also maintains 50 m separation from other traffic with a 30-second time-to-closest approach threshold. GNSS signals are available but may experience multipath near the ground in coastal terrain. The survey follows a corridor pattern across six waypoints within a 600-second time budget.",Climb to 400 m for better solar gain and wider camera swath,Fly at 35 m AGL to minimize wind exposure and save power,Disable thermal camera to reduce payload power by 40 W,Extend loiter at waypoints for higher-resolution imaging,Increase speed to 22 m/s to finish early and recharge sooner,Route directly through no-fly zone to cut transit time,Transmit all data in real-time at 15 Mbps to ground station,"[""Climb to 400 m for better solar gain and wider camera swath"", ""Fly at 35 m AGL to minimize wind exposure and save power"", ""Disable thermal camera to reduce payload power by 40 W"", ""Extend loiter at waypoints for higher-resolution imaging"", ""Increase speed to 22 m/s to finish early and recharge sooner"", ""Route directly through no-fly zone to cut transit time"", ""Transmit all data in real-time at 15 Mbps to ground station""]","Disabling the thermal camera reduces power draw, preserving energy for longer endurance within the 600-second budget. The UAV can still complete the corridor survey with RGB data while safely avoiding the moving obstacle and no-fly zone. Other options either increase energy use, violate constraints, or introduce risk without compensatory gains." 2025-11-01T17:52:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Volcanic_Zone_with_Lightning_Risk_5577b3da3f45_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Volcanic_Zone_with_Lightning_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 315 seconds, GNSS fails and lightning risk peaks; how should the UAV pair adjust coordination above 60m with 8 m/s winds?","This is a bridge inspection mission in a volcanic zone with a lightning risk. The UAV operates within a defined polygonal airspace bounded between 10 and 120 meters AGL. Weather includes strong 8 m/s winds from 240° with gusts up to 4 m/s and a high risk of lightning. A quadrotor UAV equipped with RGB and thermal cameras, LiDAR, and full sensor suite conducts the mission. The payload adds 0.3 kg with moderate aerodynamic drag. A no-fly cylinder surrounds a critical zone at the center, restricting access between 10 and 60 meters altitude. A second UAV and a moving spherical obstacle simulate dynamic traffic and hazards. GNSS jamming occurs between 300–330 seconds, coinciding with a comms loss window and a lightning strike at 420 seconds. The UAV must maintain 10-meter separation and avoid geofence or altitude violations under discrete control. Battery reserve is set to 30%, and the mission must complete within 10 minutes despite environmental and system challenges.",Switch to LiDAR-only formation keeping 15m separation,Descend below 60m to avoid lightning and jamming,Increase speed to complete scan before 420s strike,One UAV hovers; the other circumnavigates no-fly zone,Sync thermal scans every 10s using mesh relay,Abort mission and return to base immediately,Maintain GNSS-dependent spacing using predicted states,"[""Switch to LiDAR-only formation keeping 15m separation"", ""Descend below 60m to avoid lightning and jamming"", ""Increase speed to complete scan before 420s strike"", ""One UAV hovers; the other circumnavigates no-fly zone"", ""Sync thermal scans every 10s using mesh relay"", ""Abort mission and return to base immediately"", ""Maintain GNSS-dependent spacing using predicted states""]","During GNSS/comms disruption, mesh networking sustains situational awareness while synchronized thermal scanning ensures complete coverage without redundant overlap. This balances energy use, timing, and safety above the no-fly zone. Other options either violate altitude constraints, risk communication failure, or waste battery." 2025-11-01T17:52:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Corridor_Follow_with_Octocopter_a4d3aa3b59d0_mcq.json,uavbench-mcq-v1,Coastal_Corridor_Follow_with_Octocopter,minimax/minimax-m1,9,Comparative System Reasoning,7,?,F,False,"An octocopter must complete a 600-second coastal inspection at 10–120 m AGL, avoiding obstacles and maintaining comms with 6 m/s winds.","This mission involves an inspection flight using an octocopter in a coastal airspace. The UAV operates within a defined corridor from 10 to 120 meters AGL, following a series of waypoints toward the northeast. Weather conditions include a 6 m/s westerly wind with 3 m/s gusts, but visibility is good. The octocopter carries an RGB camera and LiDAR payload, with standard navigation sensors including GNSS, IMU, and barometer. A stationary no-fly zone and a moving no-fly cylinder create dynamic constraints. A second UAV and a moving spherical obstacle require separation management, with a 25-meter separation threshold. The UAV must avoid GNSS signal loss zones and maintain comms, with brief downlink outages expected. Battery endurance is limited, requiring efficient routing within the 600-second time budget. Launch begins at (10,10,30) meters, with preferred landing at the opposite corner. Mission success depends on completing the route without collisions, geofence breaches, or DAA violations.",Uses LiDAR for obstacle detection in gusty coastal winds,Relies solely on GNSS for navigation in signal-loss zones,Flies direct route ignoring moving spherical obstacle,"Operates RGB camera only, disabling LiDAR to save power",Routes through stationary no-fly zone for shorter path,Maintains 25-meter separation from second UAV and obstacle,Lands at launch point after completing all waypoints,"[""Uses LiDAR for obstacle detection in gusty coastal winds"", ""Relies solely on GNSS for navigation in signal-loss zones"", ""Flies direct route ignoring moving spherical obstacle"", ""Operates RGB camera only, disabling LiDAR to save power"", ""Routes through stationary no-fly zone for shorter path"", ""Maintains 25-meter separation from second UAV and obstacle"", ""Lands at launch point after completing all waypoints""]","Option F ensures collision avoidance and complies with separation requirements. It balances safety, mission duration, and dynamic constraints. Other options violate geofences, disable critical sensors, or ignore traffic." 2025-11-01T17:52:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Dusty_Delivery_with_Moving_NFZ_b829e268c825_mcq.json,uavbench-mcq-v1,Coastal_Dusty_Delivery_with_Moving_NFZ,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 125s, GNSS degrades due to dust multipath; wind is 8.5 m/s from 240°. Which navigation strategy maintains accuracy during comms loss?","This is a coastal delivery mission using a heavy-lift multirotor UAV equipped with GNSS, IMU, lidar, and RGB camera. The UAV carries a 5 kg payload and operates within a defined airspace corridor from 20 to 120 meters AGL. The environment features strong 8.5 m/s winds from 240 degrees, gusts up to 4 m/s, and poor visibility due to dust. A static no-fly zone is present near the center of the area, while a second cylindrical NFZ moves across the airspace. The UAV must avoid both NFZs and maintain a minimum separation of 25 meters from other traffic. There is one intruder UAV flying a fixed route, and a moving spherical obstacle drifting through the flight path. Communication experiences a brief uplink/downlink loss window between 120 and 135 seconds. The mission involves navigating a four-waypoint corridor pattern within a 600-second time limit, starting from a designated spawn point. Battery endurance and GNSS signal reliability are key concerns due to environmental and operational constraints.",Rely solely on GNSS with last known fix,Switch to IMU-only dead reckoning,Fuse lidar with visual odometry and IMU,Descend to 15m AGL to reduce wind effect,Hover using RGB optical flow only,Match speed to drifting obstacle to reduce relative motion,Follow intruder UAV as a navigation reference,"[""Rely solely on GNSS with last known fix"", ""Switch to IMU-only dead reckoning"", ""Fuse lidar with visual odometry and IMU"", ""Descend to 15m AGL to reduce wind effect"", ""Hover using RGB optical flow only"", ""Match speed to drifting obstacle to reduce relative motion"", ""Follow intruder UAV as a navigation reference""]",Lidar and visual odometry compensate for GNSS multipath and IMU drift under high wind. Fusing them with IMU maintains pose accuracy during comms loss. This strategy leverages environmental features despite poor visibility and ensures safe NFZ avoidance. 2025-11-01T17:52:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Facade_Inspection_with_Solar_Wing_UAV_744357d0c571_mcq.json,uavbench-mcq-v1,Coastal_Facade_Inspection_with_Solar_Wing_UAV,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"Given 30% battery reserve, 10-minute window, and 30s GNSS jamming, which flight path optimizes coastal inspection under wind and obstacle constraints?","This mission involves a coastal facade inspection using a solar-powered fixed-wing UAV equipped with RGB and thermal cameras. The flight occurs in a coastal airspace with a defined rectangular geofence and a cylindrical no-fly zone near the center. Winds are strong, increasing with altitude from 8.5 m/s at ground level to 14.5 m/s at 100 meters, with a westerly direction and gusts up to 4.0 m/s. A microburst risk and potential icing event during flight pose significant weather hazards. The UAV has a battery capacity of 1200 Wh and must maintain 30% reserve energy, limiting available flight time. GNSS signals are degraded due to multipath effects and intentional jamming at -75 dBm, with a simulated GNSS jamming fault lasting 30 seconds. Radio communication experiences a 30-second uplink/downlink loss window, reducing command and telemetry reliability. Air traffic includes a conflicting UAV approaching from outside the geofence, requiring separation monitoring. A moving spherical obstacle drifts westward through the inspection corridor, necessitating real-time avoidance. The mission requires runway-aligned takeoff and landing, with a strict 10-minute time budget and corridor inspection pattern.",Fly low to save energy; skip thermal scans during jamming,Delay takeoff until wind stabilizes; reduce speed by 15%,Split inspection into two arcs; second UAV接力 at 5 mins,Increase altitude for smoother air; accept higher energy use,Maintain heading into wind; thermal scan only on return leg,Pre-commit to zigzag pattern; rely on inertial nav during jamming,Abort mission; notify ATC and ground station via satellite link,"[""Fly low to save energy; skip thermal scans during jamming"", ""Delay takeoff until wind stabilizes; reduce speed by 15%"", ""Split inspection into two arcs; second UAV接力 at 5 mins"", ""Increase altitude for smoother air; accept higher energy use"", ""Maintain heading into wind; thermal scan only on return leg"", ""Pre-commit to zigzag pattern; rely on inertial nav during jamming"", ""Abort mission; notify ATC and ground station via satellite link""]","Pre-committing to a zigzag pattern ensures full corridor coverage within the 10-minute window while leveraging inertial navigation during the 30s GNSS outage. This preserves coordination with the moving obstacle's drift and maintains predictable trajectory for air traffic separation, avoiding real-time replanning failures under communication loss." 2025-11-01T17:52:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Emergency_Medical_Delivery_with_Swarm_Drones_bff57d3131fc_mcq.json,uavbench-mcq-v1,Coastal_Emergency_Medical_Delivery_with_Swarm_Drones,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"Given 7.5 m/s southwest winds, a 120m max altitude, and 600s time limit, which strategy balances swarm coordination, energy, and obstacle avoidance?","This scenario involves a coastal emergency medical delivery mission using a swarm of four drones. The operation takes place in a defined coastal airspace with a geofenced area and both static and moving no-fly zones. Weather conditions include moderate winds of 7.5 m/s from the southwest, increasing with altitude, along with gusts and thermal updrafts that can affect flight stability. The UAVs are battery-powered swarm drones equipped with RGB and thermal cameras, LiDAR, and essential navigation sensors. Each drone carries a 1.5 kg medical payload and operates within an altitude range of 10 to 120 meters AGL. Key constraints include GNSS signal multipath, electromagnetic interference, and brief communication loss windows. The swarm must navigate around a dynamic no-fly zone and a moving spherical obstacle while maintaining minimum separation of 25 meters between drones. Air traffic from two other UAVs adds complexity, requiring robust detect-and-avoid performance with a 50-meter separation threshold. The mission follows a corridor pattern with five waypoints, requiring completion within 600 seconds. Landing is planned at a preferred site, with emergency options available in case of contingencies.",Climb to 120m for faster downwind return,Fly at 10m to minimize wind exposure,Maintain 60m altitude with adaptive spacing,Reduce speed to conserve battery by 15%,Route directly through moving no-fly zone,Land immediately at emergency site,Transmit continuously to override interference,"[""Climb to 120m for faster downwind return"", ""Fly at 10m to minimize wind exposure"", ""Maintain 60m altitude with adaptive spacing"", ""Reduce speed to conserve battery by 15%"", ""Route directly through moving no-fly zone"", ""Land immediately at emergency site"", ""Transmit continuously to override interference""]",Flying at 60m balances reduced wind effects and sensor performance while enabling stable swarm separation. It conserves energy compared to climbing to 120m and avoids control instability near 10m. This altitude supports navigation reliability amid GNSS multipath and maintains safe coordination around dynamic obstacles within the time constraint. 2025-11-01T17:52:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Forest_Search_with_Icing_Conditions_5255af36beb6_mcq.json,uavbench-mcq-v1,Coastal_Forest_Search_with_Icing_Conditions,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 250 s, icing hits; wind is 12 m/s west. How should the swarm adjust roles within 10 m separation and 600 s limit?","Search and rescue mission in a coastal forest environment with icing conditions. UAV is a quadrotor equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Flight occurs within a 400×500 m polygon with altitude limits from 5 to 120 m AGL. A static no-fly zone and a moving no-fly cylinder must be avoided during operations. Wind increases with altitude, reaching 12 m/s from the west, with gusts up to 4 m/s and poor visibility. Icing conditions are present and a simulated icing event reduces performance at 250 seconds into the mission. GNSS signals suffer from multipath interference and moderate jamming at -85 dBm. Electromagnetic interference and periodic communication dropouts affect command and data links. A three-UAV swarm operates with leader, scout, and relay roles, maintaining 10 m minimum separation. The mission must be completed within 600 seconds while managing battery reserve and traffic separation.",Leader ascends to 120 m for better GNSS lock,Relay drops behind to boost comms range,Scout halts scanning to conserve battery,All UAVs descend to 5 m AGL to avoid wind,Leader offloads scout role to relay UAV,Scout advances alone into no-fly cylinder,Relay climbs above 100 m to reduce interference,"[""Leader ascends to 120 m for better GNSS lock"", ""Relay drops behind to boost comms range"", ""Scout halts scanning to conserve battery"", ""All UAVs descend to 5 m AGL to avoid wind"", ""Leader offloads scout role to relay UAV"", ""Scout advances alone into no-fly cylinder"", ""Relay climbs above 100 m to reduce interference""]","Relaying the scout role maintains coverage and compensates for potential sensor degradation from icing. It balances task continuity and energy use while preserving 10 m separation and communication links. Other options either break formation, increase risk, or disrupt role specialization essential for swarm resilience." 2025-11-01T17:52:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Fog_Recon_with_Amphibious_UAV_f46505707f24_mcq.json,uavbench-mcq-v1,Coastal_Fog_Recon_with_Amphibious_UAV,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"With 1200 Wh battery and 60% performance loss from icing, which action maximizes survey completion and safe landing?","This mission involves a coastal survey using an amphibious fixed-wing VTOL UAV equipped with RGB and thermal cameras, LiDAR, and radar. The operation takes place in a defined coastal airspace with a maximum altitude of 120 m AGL and a geofenced rectangular area. Poor visibility due to fog and icing conditions poses significant environmental challenges, with increasing wind speed and shifting direction at higher altitudes. The UAV has a battery capacity of 1200 Wh and must manage energy carefully, especially during transitions between hover and forward flight. A static no-fly zone and a moving no-fly cylinder create dynamic airspace constraints, requiring real-time avoidance. GNSS signals are degraded by multipath effects and moderate jamming, while electromagnetic interference further challenges navigation. A single intruder UAV enters the airspace from the east, necessitating detect-and-avoid compliance with a 50-meter separation threshold. The mission includes a planned corridor survey with four waypoints and requires a runway landing, complicating final approach in foggy, low-visibility conditions. An icing event occurs mid-mission, reducing performance by 60% for one minute, and communication experiences two brief downlink loss windows.",Increase speed to finish survey before battery depletes,Disable LiDAR and reduce camera frame rate to save power,Climb to 120 m for clearer GNSS and avoid intruder UAV,Abort mission immediately to preserve enough reserve for landing,Switch to thermal-only imaging and extend loiter for data link recovery,Fly longest diagonal path to cover more area per kWh,Hover at waypoint 3 to wait out icing and wind shift,"[""Increase speed to finish survey before battery depletes"", ""Disable LiDAR and reduce camera frame rate to save power"", ""Climb to 120 m for clearer GNSS and avoid intruder UAV"", ""Abort mission immediately to preserve enough reserve for landing"", ""Switch to thermal-only imaging and extend loiter for data link recovery"", ""Fly longest diagonal path to cover more area per kWh"", ""Hover at waypoint 3 to wait out icing and wind shift""]","Disabling high-power LiDAR and reducing camera frame rate cuts energy use while maintaining core sensing. This extends endurance to complete the survey and land safely despite reduced performance. Other options waste energy, increase exposure, or sacrifice mission utility." 2025-11-01T17:52:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_GPS_Spoofing_Scenario_for_Fixed-Wing_UAV_d4f400f61e39_mcq.json,uavbench-mcq-v1,Coastal_GPS_Spoofing_Scenario_for_Fixed-Wing_UAV,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 260s, GNSS spoofing begins with 8 m/s winds from 240° and 30% battery. What should the UAV prioritize?","Fixed-wing UAV conducts a coastal survey mission in a designated polygonal airspace. The UAV operates between 50 and 300 meters AGL with a required runway landing. Weather includes 8 m/s winds from 240°, gusts up to 4 m/s, and poor visibility due to fog. The UAV carries a payload with RGB camera and radar, relying on GNSS, IMU, and other sensors. A no-fly zone cylinder is present near the mission area at (700, 600) with 80m radius and 250m ceiling. GNSS spoofing occurs between 250–310 seconds, coinciding with comms loss and -85 dBm interference. Electromagnetic interference and potential GNSS multipath effects are present near the coast. Another UAV and a moving spherical obstacle traverse the airspace during the mission. The UAV must maintain 50m separation and 30s time-to-collision threshold for DAA compliance. Battery reserve is set to 30%, and mission duration is constrained to 600 seconds.",Climb to 300m for better GNSS signal clarity,Descend to 50m to minimize wind drift and power use,Hold position using IMU until GNSS recovers,Proceed directly to landing runway despite comms loss,Turn 90° right to escape interference zone,Increase speed to exit no-fly zone proximity,Transition to radar-aided navigation and steady descent,"[""Climb to 300m for better GNSS signal clarity"", ""Descend to 50m to minimize wind drift and power use"", ""Hold position using IMU until GNSS recovers"", ""Proceed directly to landing runway despite comms loss"", ""Turn 90° right to escape interference zone"", ""Increase speed to exit no-fly zone proximity"", ""Transition to radar-aided navigation and steady descent""]","GNSS spoofing and comms loss require reliance on radar and IMU; descending steadily conserves energy and ensures terrain clearance. This balances navigation integrity, energy reserve, wind effects, and safety near the coast while enabling runway landing." 2025-11-01T17:52:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Glider_Touch-and-Go_in_Fog_f2cd2e3747cb_mcq.json,uavbench-mcq-v1,Coastal_Glider_Touch-and-Go_in_Fog,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"Given fog, icing for 60s at mid-mission, and GNSS errors near runway, which action ensures safe touch-and-go within 600s while avoiding a west-drifting obstacle?","This is a coastal touch-and-go mission using a fixed-wing glider UAV equipped with radar, RGB camera, and standard navigation sensors. The flight occurs in poor visibility due to fog, with icing conditions and strong westerly winds increasing with altitude. The glider operates within a defined coastal airspace bounded by a polygonal geofence and must avoid both static and moving no-fly zones, including a dynamic obstacle drifting westward. A critical constraint is the presence of GNSS multipath and electromagnetic interference, degrading positioning accuracy near the runway. The UAV follows a linear corridor pattern toward a designated runway aligned east-west, requiring precise approach and go-around maneuvers. Traffic from another UAV flying west at 18 m/s introduces separation risks, monitored via DAA thresholds of 25 meters and 15 seconds TTC. Icing events reduce aerodynamic efficiency for one minute mid-mission, compounding performance challenges in low-visibility conditions. Communication downlink is unreliable, with short outages affecting telemetry transmission. The glider must complete the touch-and-go within 600 seconds while maintaining safe altitude, avoiding stalls, and conserving battery for reserve margins. Emergency landing options exist but are distant from the primary flight path.",Descend early to 80m AGL and align with runway before obstacle drifts east,Maintain 120m AGL until 30s before touchdown to avoid multipath errors,"Climb to 150m AGL to escape icing, then descend rapidly through fog layer","Delay approach by 45s to let traffic clear, accepting battery risk","Turn north to bypass obstacle, extending flight beyond 600s limit",Reduce approach speed to 15m/s to improve control in GNSS-denied zone,Execute go-around at 100m AGL if DAA alerts within 15s TTC or 25m,"[""Descend early to 80m AGL and align with runway before obstacle drifts east"", ""Maintain 120m AGL until 30s before touchdown to avoid multipath errors"", ""Climb to 150m AGL to escape icing, then descend rapidly through fog layer"", ""Delay approach by 45s to let traffic clear, accepting battery risk"", ""Turn north to bypass obstacle, extending flight beyond 600s limit"", ""Reduce approach speed to 15m/s to improve control in GNSS-denied zone"", ""Execute go-around at 100m AGL if DAA alerts within 15s TTC or 25m""]","Option G maintains safe separation from traffic and responds proactively to DAA thresholds, which is critical under low visibility and unreliable comms. It avoids premature descent into GNSS multipath zones and preserves energy for go-around after potential icing effects. Other options either violate time/endurance limits, increase exposure to icing or obstacles, or risk loss of separation." 2025-11-01T17:52:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Heavy_Load_Delivery_in_Gusts_8cc2a5d0b48e_mcq.json,uavbench-mcq-v1,Coastal_Heavy_Load_Delivery_in_Gusts,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,E,False,"With 8.5 m/s westerly winds and GNSS multipath near coastal structures, which navigation strategy best ensures timely, safe flight?","This is a coastal heavy-load delivery mission using a battery-powered octocopter with a 15 kg payload. The UAV operates between 30 and 150 meters AGL within a defined polygonal airspace near the coast. Weather includes strong westerly winds at 8.5 m/s with gusts up to 4.2 m/s, but visibility is good. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors for navigation and obstacle avoidance. A static no-fly zone is present near the center of the airspace, and a dynamic no-fly zone moves through the area, requiring real-time avoidance. Another UAV and a moving spherical obstacle also share the airspace, necessitating separation maintenance of at least 25 meters. The mission must be completed within 600 seconds, following a corridor pattern through four waypoints ending at the preferred landing site. GNSS multipath effects may occur near coastal structures, and flight efficiency is critical due to high energy consumption in windy conditions. Battery reserve is set to 30%, limiting usable energy to 12,600 Wh. The UAV must avoid all obstacles and NFZs while maintaining communication and completing the delivery on time.",Prioritize GNSS-only fixes near all structures,Switch to lidar-only when losing visual features,Use IMU-GNSS fusion exclusively in open areas,Rely on visual odometry in high-wind gusts,"Fuse IMU, lidar, and visual data with GNSS smoothing",Navigate via magnetic heading during multipath events,Follow waypoints using open-loop IMU integration,"[""Prioritize GNSS-only fixes near all structures"", ""Switch to lidar-only when losing visual features"", ""Use IMU-GNSS fusion exclusively in open areas"", ""Rely on visual odometry in high-wind gusts"", ""Fuse IMU, lidar, and visual data with GNSS smoothing"", ""Navigate via magnetic heading during multipath events"", ""Follow waypoints using open-loop IMU integration""]","GNSS multipath near coastal structures degrades position accuracy, requiring complementary sensors. Fusing IMU, lidar, and visual data maintains pose estimation integrity while smoothing GNSS inputs reduces noise impact. This adaptive fusion maximizes reliability in dynamic, obstructed coastal environments under high wind loading." 2025-11-01T17:52:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Heavy_Lift_Swarm_Coordination_with_Thermal_Updrafts_86683f904c01_mcq.json,uavbench-mcq-v1,Coastal_Heavy_Lift_Swarm_Coordination_with_Thermal_Updrafts,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"Which strategy maximizes swarm delivery success within 600 seconds, 30% battery reserve, and 8.5 m/s winds from 240°?","Heavy lift UAVs conduct a delivery mission in coastal airspace using swarm coordination. The area features thermal updrafts near coordinates (800,1200) and (1600,600) to potentially aid lift. Winds blow at 8.5 m/s from 240 degrees with gusts up to 4.0 m/s and good visibility. Each UAV is an 8-rotor heavy lift platform carrying a 10 kg payload with thermal and RGB cameras. GNSS multipath effects are present, impacting navigation accuracy in parts of the airspace. A static no-fly zone and one moving no-fly zone constrain the flight corridor. The swarm of four UAVs must maintain minimum 30-meter inter-UAV separation. A dynamic moving obstacle at (1000,1000) travels southwest, requiring real-time avoidance. Mission success depends on timely waypoint completion within a 600-second budget. Battery reserve is set to 30%, and operations are confined between 50 and 300 meters AGL.",Fly direct paths at 50 m AGL to minimize distance and time,Climb to 300 m AGL to avoid gusts and improve GNSS reception,"Reroute swarm through thermal updraft at (800,1200) for lift assist",Descend below 50 m AGL near obstacles to reduce wind exposure,Increase speed to 15 m/s to ensure timely waypoint completion,Stagger UAV altitudes by 20 m to maintain separation in updrafts,Hover for 45 seconds to recalibrate sensors in high multipath zones,"[""Fly direct paths at 50 m AGL to minimize distance and time"", ""Climb to 300 m AGL to avoid gusts and improve GNSS reception"", ""Reroute swarm through thermal updraft at (800,1200) for lift assist"", ""Descend below 50 m AGL near obstacles to reduce wind exposure"", ""Increase speed to 15 m/s to ensure timely waypoint completion"", ""Stagger UAV altitudes by 20 m to maintain separation in updrafts"", ""Hover for 45 seconds to recalibrate sensors in high multipath zones""]","Utilizing the thermal updraft at (800,1200) improves energy efficiency by reducing rotor load, counteracting 8.5 m/s winds from 240° and preserving battery toward the 30% reserve. It avoids low-altitude multipath and gusts while maintaining separation and progress within the 600-second window. Other options either risk safety, exceed energy budgets, or disrupt coordination." 2025-11-01T17:52:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Icing_Swarm_Recon_8b1c6e9b6fef_mcq.json,uavbench-mcq-v1,Coastal_Icing_Swarm_Recon,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,G,False,"At 120 seconds, icing reduces lift and GNSS drifts 8 m/s west; visibility drops to 400 m. Which action maintains swarm integrity and coverage?","Swarm reconnaissance mission using fixed-wing VTOL drones in coastal airspace with icing conditions. Operating altitude between 50 and 300 meters AGL within a defined polygon geofence. Moderate wind at 8 m/s from the west, increasing with altitude and shifting direction. Poor visibility due to icing conditions poses sensor and flight challenges. Four-drone swarm equipped with thermal and RGB cameras, radar, and standard navigation sensors. Payload includes imaging systems with added drag and mass considerations. Mission involves grid-based area reconnaissance with dynamic no-fly zones and moving obstacles. GNSS signals affected by multipath and mild jamming; EM interference present. Swarm must avoid static and moving NFZs while maintaining minimum 30-meter inter-drone separation. Icing event fault simulated at 120 seconds, reducing performance for one minute.",Descend all drones to 30 m AGL to reduce wind exposure,Disable radar to conserve power during icing event,Increase GNSS weighting in fusion due to stable thermal data,"Activate IMU-visual-radar fusion, reduce formation spacing to 20 m",Halt swarm motion until GNSS signal stabilizes,"Rely solely on GPS for navigation, ignoring wind shift",Switch to pre-emptive path prediction using radar and IMU,"[""Descend all drones to 30 m AGL to reduce wind exposure"", ""Disable radar to conserve power during icing event"", ""Increase GNSS weighting in fusion due to stable thermal data"", ""Activate IMU-visual-radar fusion, reduce formation spacing to 20 m"", ""Halt swarm motion until GNSS signal stabilizes"", ""Rely solely on GPS for navigation, ignoring wind shift"", ""Switch to pre-emptive path prediction using radar and IMU""]","GNSS is degraded by multipath and jamming, and icing increases navigation uncertainty. Radar-IMU fusion enables continuity by predicting motion and detecting obstacles despite poor visibility. G maintains separation and coverage without relying on unstable GNSS." 2025-11-01T17:52:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Lost_Link_RTL_with_Heavy_Lift_UAV_39ac8c9ee618_mcq.json,uavbench-mcq-v1,Coastal_Lost_Link_RTL_with_Heavy_Lift_UAV,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,E,False,"At 320 s, comms fail; UAV must RTL. Wind: 9.5 m/s SW, gusts +4.2 m/s. Payload: 5 kg. What ensures safe return?","Heavy lift UAV conducts a coastal delivery mission beyond visual line of sight. Operating in a defined polygonal airspace with a cylindrical no-fly zone near the center. Mission includes three waypoints in a corridor pattern with a time budget of 10 minutes. UAV carries a 5 kg payload and is equipped with GNSS, radar, lidar, and RGB camera. Strong winds from the southwest at 9.5 m/s with gusts up to 4.2 m/s; microburst risk present. Lost communication fault triggers at 320 seconds, forcing RTL (return to launch) without uplink or downlink. Separation threshold set at 25 meters with a time-to-closest approach threshold of 15 seconds. Another UAV transits through the airspace from east to west at constant altitude. A moving spherical obstacle drifts leftward at 3 m/s near the mission path. GNSS multipath and signal loss risks are elevated due to coastal terrain and fault conditions.",Climb to 120 m to avoid obstacle drift,Descend to 30 m to reduce wind exposure,Increase speed to 18 m/s to beat time budget,Bank left 45° to detour no-fly zone,"Maintain 100 m altitude, adjust heading upwind",Pitch down 10° to outrun microburst risk,Hover at waypoint until wind stabilizes,"[""Climb to 120 m to avoid obstacle drift"", ""Descend to 30 m to reduce wind exposure"", ""Increase speed to 18 m/s to beat time budget"", ""Bank left 45° to detour no-fly zone"", ""Maintain 100 m altitude, adjust heading upwind"", ""Pitch down 10° to outrun microburst risk"", ""Hover at waypoint until wind stabilizes""]","Maintaining 100 m altitude balances obstacle clearance and wind shear risk while upwind heading correction counters drift. Aerodynamic efficiency is preserved near optimal lift-to-drag ratio, avoiding excessive induced drag or stall risk from gust-induced angle of attack swings." 2025-11-01T17:52:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Pipeline_Inspection_with_High-Altitude_Pseudo-Satellite_UAV_1abbe59d33ac_mcq.json,uavbench-mcq-v1,Coastal_Pipeline_Inspection_with_High-Altitude_Pseudo-Satellite_UAV,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 800m AGL with 15 m/s winds, -75 dBm jamming, and sandstorm visibility <1 km, which navigation strategy maintains pipeline tracking within 3000m x 2500m geofence?","The mission is a coastal pipeline inspection using a high-altitude pseudo-satellite UAV equipped with RGB and thermal cameras, radar, and standard navigation sensors. It operates in a coastal airspace with a geofenced area spanning 3000m by 2500m, including a static no-fly zone and a moving restricted zone shifting northwest. Weather conditions include strong winds up to 15 m/s increasing with altitude, poor visibility, and active sandstorm phenomena. Wind shear is significant, with direction shifting from 230° at 100m to 260° at 1000m, and gusts reaching 5 m/s. The UAV must avoid GNSS multipath effects, experience moderate jamming at -75 dBm, and contend with electromagnetic interference. Separation from other traffic is critical, with a minimum safe distance of 50 meters and time-to-closest-approach threshold of 30 seconds. A small moving obstacle travels near the pipeline route, requiring dynamic path adjustments. Communication links face two brief loss windows, with minimum RSSI at -85 dBm, risking data downlink interruptions. The UAV must complete its corridor-style waypoint mission within 600 seconds while maintaining battery reserve of 30%. Launch is from 300m AGL near the center of the zone, with return to a preferred landing site and an emergency alternative available.",Rely solely on GNSS with Kalman filter smoothing,Switch to pure IMU integration for drift-free positioning,Fuse radar altimetry with visual odometry and wind-compensated IMU,Use thermal camera for terrain matching without sensor fusion,Depend on magnetic heading under electromagnetic interference,Navigate via RGB optical flow in low-visibility sandstorm,Follow predicted GPS waypoints during communication blackouts,"[""Rely solely on GNSS with Kalman filter smoothing"", ""Switch to pure IMU integration for drift-free positioning"", ""Fuse radar altimetry with visual odometry and wind-compensated IMU"", ""Use thermal camera for terrain matching without sensor fusion"", ""Depend on magnetic heading under electromagnetic interference"", ""Navigate via RGB optical flow in low-visibility sandstorm"", ""Follow predicted GPS waypoints during communication blackouts""]","Radar penetrates sandstorm and complements visual odometry, while wind-compensated IMU corrects for GNSS multipath and jamming. This fusion reduces drift under poor visibility and moderate interference. Other methods fail due to sensor degradation or environmental vulnerability." 2025-11-01T17:52:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Package_Delivery_with_Convertiplane_5bd2796d0250_mcq.json,uavbench-mcq-v1,Coastal_Package_Delivery_with_Convertiplane,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,E,False,"At 300s, icing peaks and GNSS degrades due to coastal multipath; wind gusts exceed 15 m/s. Which action maintains navigation integrity?","This scenario involves a coastal package delivery mission using a convertiplane UAV equipped with a 2 kg payload. The flight occurs in a coastal airspace with a defined geofence and both static and moving no-fly zones. Weather conditions include strong westerly winds increasing with altitude, gusts, and icing conditions that temporarily affect UAV performance. The convertiplane relies on battery power and transitions between vertical and fixed-wing flight, constrained by a required runway for takeoff and landing. Key sensors include GNSS, IMU, radar, lidar, and RGB camera, but GNSS multipath and electromagnetic interference are present. A dynamic no-fly zone and moving obstacle challenge navigation, while another UAV operates in the airspace, requiring separation monitoring. The mission must be completed within 600 seconds, following a corridor pattern with three waypoints. Icing severity increases at 300 seconds, reducing efficiency for one minute. Communication experiences brief downlink outages, and signal strength is monitored. Success metrics include mission completion, battery level, separation minima, and adherence to airspace and environmental constraints.",Switch entirely to IMU-only dead reckoning,Rely solely on GNSS with Kalman filter smoothing,Increase reliance on radar-lidar fusion for velocity,Use magnetometer to correct heading drift,Transition to visual-inertial odometry with RGB,Descend to reduce wind exposure and icing,Hold position using vertical flight mode,"[""Switch entirely to IMU-only dead reckoning"", ""Rely solely on GNSS with Kalman filter smoothing"", ""Increase reliance on radar-lidar fusion for velocity"", ""Use magnetometer to correct heading drift"", ""Transition to visual-inertial odometry with RGB"", ""Descend to reduce wind exposure and icing"", ""Hold position using vertical flight mode""]",Visual-inertial odometry compensates for GNSS multipath and IMU drift under icing-induced dynamics. It leverages RGB and IMU synergy when GNSS is unreliable. This fusion maintains accuracy without depending on error-prone magnetometer or degraded GNSS signals. 2025-11-01T17:52:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Recon_Glider_Mission_71528b51235e_mcq.json,uavbench-mcq-v1,Coastal_Recon_Glider_Mission,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 405 s, comms fail; glider descends through 180 m AGL toward a moving obstacle 1.2 km ahead. What immediate action prioritizes safety and compliance?","This is a fixed-wing glider mission for coastal area reconnaissance. The UAV operates in controlled coastal airspace with a maximum altitude of 300 m AGL and a minimum of 50 m AGL. Winds are from the west at 8 m/s with gusts up to 4.5 m/s, increasing and shifting slightly with altitude. The UAV is a battery-powered glider equipped with RGB and thermal cameras for payload, relying on aerodynamic efficiency for endurance. It must avoid two no-fly zones, one static and one moving, while maintaining separation from another UAV and a moving spherical obstacle. Communication experiences brief downlink outages between 120–130 and 400–415 seconds. GNSS is operational without multipath or jamming, but electromagnetic interference is present. The mission requires runway-aligned takeoff and landing, with a preferred landing site near the start. Thermal updrafts are available at one location to assist lift. The glider must complete its waypoint corridor pattern within 600 seconds while adhering to strict separation and geofence constraints.",Continue descent; obstacle is outside protected radius,Climb to 220 m using thermal updraft; maintain course,Turn 30° east to bypass obstacle; accept 25 s delay,Dive to 60 m AGL for faster escape from interference zone,Abort mission; divert to alternate landing 3.5 km north,Hold altitude; wait 40 s for comms and clearance,Accelerate and descend below 50 m AGL to slip under obstacle,"[""Continue descent; obstacle is outside protected radius"", ""Climb to 220 m using thermal updraft; maintain course"", ""Turn 30° east to bypass obstacle; accept 25 s delay"", ""Dive to 60 m AGL for faster escape from interference zone"", ""Abort mission; divert to alternate landing 3.5 km north"", ""Hold altitude; wait 40 s for comms and clearance"", ""Accelerate and descend below 50 m AGL to slip under obstacle""]","The glider must avoid the moving obstacle while respecting minimum altitude and communication constraints. Continuing or descending below 50 m violates AGL rules and risks collision. Turning east safely avoids the obstacle with minimal delay, preserving mission integrity and airspace compliance without endangering other users or violating geofences." 2025-11-01T17:52:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Rainy_Survey_with_Amphibious_UAV_9497ac5abfc1_mcq.json,uavbench-mcq-v1,Coastal_Rainy_Survey_with_Amphibious_UAV,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,E,False,"At 110 m AGL, 12 m/s southwest wind, and 60% thrust loss from icing, what action maintains control and avoids stall?","This is a coastal survey mission using an amphibious fixed-wing VTOL UAV equipped with lidar, radar, RGB camera, and standard navigation sensors. The operation takes place in a designated coastal airspace with a maximum altitude of 120 m AGL and a minimum safe altitude of 5 m. Weather conditions include steady rain, poor visibility, and icing risk, with strong and increasing winds from the southwest, reaching up to 12 m/s at 100 m altitude. The UAV has a battery capacity of 450 Wh and carries a 1.2 kg payload, relying solely on electric power with a 30% energy reserve for safety. A cylindrical no-fly zone is present near the center of the area, extending from 5 m to 40 m altitude, which must be avoided during the grid survey pattern. The mission requires a runway approach for landing, with the primary site located at the far end of the airspace, aligned with a 350 m virtual runway. GNSS signals are degraded due to multipath effects and moderate jamming at -85 dBm, while electromagnetic interference further challenges navigation reliability. A single traffic UAV enters the area from the east, flying westbound at 40 m altitude, requiring separation management with a 25 m minimum distance threshold. A moving obstacle simulates a rising buoy or vessel mast, ascending from below the UAV’s flight path and moving northward at 2 m/s. An icing event occurs mid-mission, reducing performance by 60% for one minute, compounding the already challenging weather and sensor limitations.",Increase pitch by 8° to gain lift,Reduce airspeed to 14 m/s to save energy,Descend to 45 m AGL to escape wind shear,Bank 30° into wind to maintain track,Apply full throttle and pitch down 3°,Hold level flight at constant angle of attack,Turn 180° and fly with the wind,"[""Increase pitch by 8° to gain lift"", ""Reduce airspeed to 14 m/s to save energy"", ""Descend to 45 m AGL to escape wind shear"", ""Bank 30° into wind to maintain track"", ""Apply full throttle and pitch down 3°"", ""Hold level flight at constant angle of attack"", ""Turn 180° and fly with the wind""]","Full throttle compensates for 60% thrust loss while slight pitch-down reduces angle of attack to avoid stall, balancing lift and drag. Descending increases air density slightly, improving control authority and aerodynamic efficiency under reduced power." 2025-11-01T17:52:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Runway_Touch-and-Go_with_VTOL_Tiltrotor_in_Cold_Weather_6568403bbe9f_mcq.json,uavbench-mcq-v1,Coastal_Runway_Touch-and-Go_with_VTOL_Tiltrotor_in_Cold_Weather,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"At 120s, icing reduces lift; westerly winds increase with altitude. How should the UAV adapt to complete the touch-and-go within energy and time limits?","This scenario involves a VTOL tiltrotor UAV performing a runway touch-and-go mission near a coastal area. The flight occurs within a defined airspace bounded by a polygon geofence and includes both static and moving no-fly zones. Weather conditions include strong westerly winds increasing with altitude and icing conditions that temporarily affect UAV performance. The UAV is equipped with a battery-powered propulsion system and carries a multi-sensor payload including RGB and thermal cameras, LiDAR, and standard navigation sensors. A key constraint is GNSS signal degradation due to multipath effects and moderate electromagnetic interference. The mission requires precise navigation around a moving obstacle and dynamic no-fly zone while maintaining separation from other air traffic. The UAV must complete the touch-and-go pattern within a time budget while managing energy reserves and transitioning between hover and forward flight. Cold weather and an icing event at 120 seconds introduce aerodynamic performance losses. Communication links experience brief dropouts, requiring robust autonomy. The scenario tests resilience to environmental hazards, sensor limitations, and airspace constraints in a realistic coastal operational setting.",Climb immediately to avoid wind shear and icing layers,"Increase rotor speed to compensate for lift loss, ignoring power cost",Abort mission and return directly to base at full thrust,Reduce LiDAR and thermal sensor power to save energy,"Descend to lower altitude, reduce airspeed, and recalculate route",Maintain current altitude and engage full GNSS refresh rate,Pivot to hover mode and await clearer GNSS signals,"[""Climb immediately to avoid wind shear and icing layers"", ""Increase rotor speed to compensate for lift loss, ignoring power cost"", ""Abort mission and return directly to base at full thrust"", ""Reduce LiDAR and thermal sensor power to save energy"", ""Descend to lower altitude, reduce airspeed, and recalculate route"", ""Maintain current altitude and engage full GNSS refresh rate"", ""Pivot to hover mode and await clearer GNSS signals""]","Descending reduces exposure to icing and strong winds, lowering power demand. Reducing airspeed and recalculating the route conserves energy while maintaining progress. This balances endurance, safety, and mission completion under degraded performance." 2025-11-01T17:52:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Runway_Touch-and-Go_with_Swarm_Drones_9c5c4b11ac91_mcq.json,uavbench-mcq-v1,Coastal_Runway_Touch-and-Go_with_Swarm_Drones,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,Six drones perform touch-and-go at 120m AGL with 10 m/s winds at 100m; 15m separation and 25m DAA required. Which coordination strategy ensures safe transition during communication dropouts?,"This mission involves a swarm of six VTOL drones performing touch-and-go maneuvers on a coastal runway. The operation takes place in a defined coastal airspace with a maximum altitude of 120 meters AGL. Winds increase with altitude, reaching 10 m/s from 290° at 100 meters, with moderate gusts and good visibility. The UAVs are fixed-wing-capable swarm drones equipped with RGB cameras and standard navigation sensors, but lack thermal or LiDAR payloads. A static no-fly zone blocks part of the airspace near the runway, while a moving obstacle and dynamic NFZ add complexity. GNSS multipath effects and mild jamming are present, challenging positioning accuracy. The swarm must maintain minimum 15-meter inter-drone separation and comply with DAA thresholds of 25 meters and 15 seconds TTC. The mission begins with a spawn near the runway and follows a corridor pattern, requiring precise transition between hover and forward flight. Communication dropouts occur briefly at two time intervals, testing autonomy and resilience.",All drones delay transition until full GNSS lock,Drones use last-known positions to maintain 15m spacing,One drone ascends to relay comms for swarm,Drones reduce speed to extend TTC beyond 20 seconds,Pair drones share camera feeds to compensate for jamming,Drones increase altitude to avoid moving obstacle,Each drone independently adjusts path using local sensing,"[""All drones delay transition until full GNSS lock"", ""Drones use last-known positions to maintain 15m spacing"", ""One drone ascends to relay comms for swarm"", ""Drones reduce speed to extend TTC beyond 20 seconds"", ""Pair drones share camera feeds to compensate for jamming"", ""Drones increase altitude to avoid moving obstacle"", ""Each drone independently adjusts path using local sensing""]","Sharing camera feeds enhances situational awareness during GNSS degradation and communication dropouts, enabling cooperative obstacle avoidance. It preserves swarm cohesion without violating separation or DAA thresholds. Other options either increase risk, break coordination, or fail under dynamic constraints." 2025-11-01T17:52:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_SAR_with_Amphibious_UAV_under_Microburst_Risk_6a6d5f541b66_mcq.json,uavbench-mcq-v1,Coastal_SAR_with_Amphibious_UAV_under_Microburst_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"At 350 seconds, wind shear increases and a microburst hits at 360 seconds; which action maintains safety and mission completion within 600 seconds?","This scenario involves a coastal search and rescue mission using an amphibious fixed-wing UAV equipped with RGB and thermal cameras, LiDAR, and radar. The operation takes place in a defined coastal airspace with a maximum altitude of 120 meters AGL and minimum safe altitude of 5 meters. Weather conditions include strong westerly winds at 8.5 m/s with increasing speed and directional shear up to 100 meters, along with a risk of microbursts. The UAV has a battery capacity of 450 Wh and carries a 1.2 kg payload, requiring careful energy management due to wind resistance and reserve requirements. A static no-fly zone is present near the center of the area, and a dynamic no-fly zone moves through the region, adding complexity to path planning. The UAV must maintain separation of at least 25 meters from other traffic, including a single intruder UAV flying on a fixed trajectory. GNSS signals are moderately jammed at -85 dBm with electromagnetic interference, increasing the risk of navigation errors near obstacles or during faults. Two faults are simulated: a 30-second communication loss at 210 seconds and a high-severity microburst event at 360 seconds affecting flight stability. The mission must be completed within 600 seconds, following a corridor search pattern across five waypoints while avoiding collisions and maintaining safe separation. The amphibious capability allows for water landings, but only designated emergency and preferred sites are available for recovery.",Climb to 110 m to avoid microburst impact zone,Divert to preferred water landing site immediately,Reduce speed to 12 m/s and descend to 15 m AGL,Maintain current altitude and increase throttle by 20%,Execute emergency hover at Waypoint 3 for stability,Turn east to align with wind and reduce drift load,Initiate cooperative relay with intruder UAV for GNSS backup,"[""Climb to 110 m to avoid microburst impact zone"", ""Divert to preferred water landing site immediately"", ""Reduce speed to 12 m/s and descend to 15 m AGL"", ""Maintain current altitude and increase throttle by 20%"", ""Execute emergency hover at Waypoint 3 for stability"", ""Turn east to align with wind and reduce drift load"", ""Initiate cooperative relay with intruder UAV for GNSS backup""]","Descending to 15 m AGL reduces exposure to wind shear and microburst intensity near 100 m while maintaining safe clearance above minimum altitude. Reducing speed improves control authority during turbulence and conserves energy, ensuring the UAV can complete the corridor pattern within 600 seconds despite communication loss and jamming. Other options either increase risk (A, D, E), waste time (B, E), or rely on uncoordinated agents (G), violating safety or timing constraints." 2025-11-01T17:52:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Satellite_Link_Relay_with_Helicopter_in_Cold_Weather_9898b791e655_mcq.json,uavbench-mcq-v1,Coastal_Satellite_Link_Relay_with_Helicopter_in_Cold_Weather,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"At 250 seconds, icing reduces performance for 60 seconds. Winds reach 14 m/s at 200 m. How should the UAV respond to maintain control and security?","This mission involves a helicopter UAV conducting a coastal survey to relay satellite communications in cold weather with icing conditions. The operation takes place in a defined coastal airspace with a geofenced rectangular zone and two no-fly zones, one static and one moving. Winds increase with altitude, reaching 14 m/s at 200 m, and blow from the southwest, adding drift challenges. The UAV is equipped with radar, RGB and thermal cameras, and relies on GNSS/IMU navigation, though it faces GNSS multipath, jamming, and electromagnetic interference. The helicopter must follow a rectangular corridor pattern at 120 m altitude within a 10-minute time limit. Icing conditions are present, and a simulated icing event occurs at 250 seconds, reducing performance for one minute. A second UAV and a moving spherical obstacle introduce traffic and collision risks, requiring adherence to a 25 m separation minimum. The UAV spawns at 1200,1200 and must avoid both static and dynamic no-fly zones while managing battery reserves and signal loss. Landing sites are designated at the start point and a remote emergency location. The mission emphasizes resilience to environmental hazards, sensor degradation, and traffic separation in a constrained, realistic coastal environment.",Descend to 80 m to reduce wind exposure and conserve battery,Switch to encrypted telemetry and activate inertial fallback navigation,Increase rotor speed continuously to counteract ice-induced drag,Transmit unencrypted status bursts to ensure ground link availability,Disable thermal camera to save power without security impact,Follow GNSS course despite drift; override attitude instability warnings,Hand over control to secondary UAV via unauthenticated data link,"[""Descend to 80 m to reduce wind exposure and conserve battery"", ""Switch to encrypted telemetry and activate inertial fallback navigation"", ""Increase rotor speed continuously to counteract ice-induced drag"", ""Transmit unencrypted status bursts to ensure ground link availability"", ""Disable thermal camera to save power without security impact"", ""Follow GNSS course despite drift; override attitude instability warnings"", ""Hand over control to secondary UAV via unauthenticated data link""]","Switching to encrypted telemetry preserves data integrity under jamming and spoofing threats. Activating inertial fallback mitigates GNSS degradation due to multipath and icing-induced signal loss. This maintains control stability and secure, resilient navigation within the geofenced corridor." 2025-11-01T17:52:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Search_and_Rescue_with_Octocopter_95137025c0f6_mcq.json,uavbench-mcq-v1,Coastal_Search_and_Rescue_with_Octocopter,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"Which route optimizes time and safety near waypoint three, considering the moving obstacle, 25 m separation, and 600-second limit?","This is a coastal search and rescue mission using an octocopter UAV equipped with RGB and thermal cameras. The operation takes place in a designated coastal airspace with good visibility but moderate winds from the southwest at 6.5 m/s, including gusts up to 3.0 m/s. Two thermal updraft plumes are present, offering potential lift assistance. The octocopter has a battery capacity of 1800 Wh and carries a 1.2 kg payload, with sensor suite including GNSS, IMU, magnetometer, barometer, and cameras. Flight altitude is constrained between 10 m and 120 m AGL within a polygonal geofence covering a 2 km by 1.5 km area. A static no-fly zone is located near the coast at (1000, 300), cylindrical with a 100 m radius and up to 80 m altitude. A second dynamic no-fly zone moves slowly through the area, requiring real-time avoidance. The UAV must avoid a moving spherical obstacle near waypoint three and maintain separation of at least 25 m from other air traffic, including a crossing UAV. Communication links experience two brief loss windows, and the mission must be completed within a 600-second time budget while returning safely to the preferred landing site.","Climb to 110 m AGL, circle obstacle clockwise at 30 m clearance","Descend to 15 m AGL, fly direct path through thermal plume","Hold position at 80 m AGL until obstacle passes, then proceed","Reroute east at 90 m AGL, bypass obstacle with 40 m margin","Descend to 10 m AGL, accelerate through gap ahead of obstacle","Fly level at 80 m AGL, cut inside obstacle's predicted path","Ascend to 120 m AGL, proceed straight, use GNSS for precision","[""Climb to 110 m AGL, circle obstacle clockwise at 30 m clearance"", ""Descend to 15 m AGL, fly direct path through thermal plume"", ""Hold position at 80 m AGL until obstacle passes, then proceed"", ""Reroute east at 90 m AGL, bypass obstacle with 40 m margin"", ""Descend to 10 m AGL, accelerate through gap ahead of obstacle"", ""Fly level at 80 m AGL, cut inside obstacle's predicted path"", ""Ascend to 120 m AGL, proceed straight, use GNSS for precision""]","Option D balances altitude efficiency and safe lateral separation, using the 90 m AGL band within geofence limits while avoiding dynamic obstruction. It prevents time loss from hovering (C) and bypasses risks of low-altitude turbulence (B, E) or NFZ proximity. The 40 m margin accounts for sensor uncertainty and gust-induced drift under 6.5 m/s winds." 2025-11-01T17:52:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Ship_Deck_Delivery_Under_Icing_Conditions_97bc32eb83cc_mcq.json,uavbench-mcq-v1,Coastal_Ship_Deck_Delivery_Under_Icing_Conditions,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,How should the UAV adjust for icing at 80m AGL with 2kg payload and strong westerly winds?,"This is a coastal delivery mission using an amphibious fixed-wing VTOL UAV equipped with LiDAR, radar, and RGB camera. The UAV operates in coastal airspace with strong westerly winds increasing with altitude and significant gusts. Icing conditions are present, with a simulated icing event occurring mid-mission, reducing performance. The UAV must deliver a 2kg payload while avoiding a no-fly zone cylinder near the center of the operational area. GNSS signals are degraded due to multipath and moderate jamming, and electromagnetic interference is present. The flight envelope is restricted between 5m and 120m AGL within a defined polygon geofence. The mission requires use of a runway for landing on a moving ship deck, with precise approach alignment needed. A single traffic UAV enters from beyond the geofence, flying opposite to the mission direction. Wind shear and sensor faults during icing increase navigation and control challenges, especially during transition phases.",Descend to 5m to reduce wind exposure and conserve energy,Climb to 120m for smoother airflow despite higher icing risk,Maintain altitude and increase speed to improve control authority,"Turn east to exit wind shear zone, accepting longer flight path","Transition to hover mode for stability, using VTOL capability",Reduce payload release altitude to 10m to ensure accuracy,Request GPS override to correct navigation drift in jamming,"[""Descend to 5m to reduce wind exposure and conserve energy"", ""Climb to 120m for smoother airflow despite higher icing risk"", ""Maintain altitude and increase speed to improve control authority"", ""Turn east to exit wind shear zone, accepting longer flight path"", ""Transition to hover mode for stability, using VTOL capability"", ""Reduce payload release altitude to 10m to ensure accuracy"", ""Request GPS override to correct navigation drift in jamming""]","Maintaining 80m AGL balances aerodynamic efficiency, geofence compliance, and safety from sea spray. Increasing speed compensates for reduced lift due to icing and maintains control in gusts. Other options violate energy, altitude, or navigation constraints under wind shear and sensor faults." 2025-11-01T17:52:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Search_and_Rescue_with_Swarm_Drones_33c1fc27c209_mcq.json,uavbench-mcq-v1,Coastal_Search_and_Rescue_with_Swarm_Drones,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which drone configuration best balances 10-minute endurance, 25m separation, and GNSS degradation in coastal search?","This is a coastal search and rescue mission using a swarm of four battery-powered drones. The operation takes place in a defined coastal airspace with a maximum altitude of 150 meters AGL and includes static and moving no-fly zones. Weather conditions feature a 6 m/s west wind increasing with altitude, gusts, and thermal updrafts that can aid lift. Each drone is equipped with RGB and thermal cameras for detection, along with standard navigation sensors. GNSS signals are degraded due to multipath effects and moderate jamming, and electromagnetic interference is present. The swarm must avoid a dynamic no-fly zone moving diagonally across the area and maintain 25-meter separation between drones. A second UAV and a moving spherical obstacle pose additional collision risks. Communication experiences brief downlink outages, requiring resilient data handling. The mission follows a corridor search pattern with a 10-minute time limit and prioritizes battery conservation for safe return.",Fixed-wing with long range but poor hover efficiency,Quadcopter with thermal camera and wind-resistant rotor control,Lightweight tri-copter with minimal sensor payload,High-speed octocopter with dual GPS and extra battery,Solar-glider with no thermal imaging capability,VTOL fixed-wing with delayed video downlink compensation,Nano-drone swarm with short 6-minute battery life,"[""Fixed-wing with long range but poor hover efficiency"", ""Quadcopter with thermal camera and wind-resistant rotor control"", ""Lightweight tri-copter with minimal sensor payload"", ""High-speed octocopter with dual GPS and extra battery"", ""Solar-glider with no thermal imaging capability"", ""VTOL fixed-wing with delayed video downlink compensation"", ""Nano-drone swarm with short 6-minute battery life""]","Quadcopters offer precise hover and wind resistance, critical for thermal detection and 10-minute endurance under gusts. The thermal camera and rotor control ensure detection reliability and stability despite GNSS degradation. Other options sacrifice sensor capability, battery life, or agility, increasing collision or mission failure risk." 2025-11-01T17:53:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Ship_Deck_Delivery_with_Dust_Storm_41af2d19de93_mcq.json,uavbench-mcq-v1,Coastal_Ship_Deck_Delivery_with_Dust_Storm,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 105 s, visibility drops to 100 m and wind gusts reach 4 m/s. What is the safest immediate action?","This is a coastal delivery mission using a single-rotor helicopter UAV carrying a 5 kg payload. The operation takes place in a defined 200x200 meter airspace near the coast with a maximum altitude of 200 m AGL. A dust storm reduces visibility and introduces environmental stress, with 8 m/s winds from the west and gusts up to 4 m/s. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors but lacks radar and thermal imaging. A cylindrical no-fly zone is located in the center of the airspace, extending up to 50 m altitude, which must be avoided. The mission involves navigating a three-waypoint corridor pattern within a 600-second time limit, starting and ending near ship deck level. Another UAV is flying through the airspace on a conflicting trajectory, requiring separation monitoring. A moving spherical obstacle drifts westward at 2 m/s, adding dynamic collision risk. Communication experiences brief dropouts between 100–110 and 450–460 seconds, with generally stable signal strength.",Climb to 180 m AGL to avoid dust interference,Descend to 30 m AGL and proceed to waypoint 2,Hover at current position until comms restore at 110 s,"Divert east, descend below 50 m, and hold outside NFZ",Accelerate to next waypoint to minimize exposure,Enter NFZ briefly to cut across diagonal for time,Maintain course and altitude; sensors sufficient,"[""Climb to 180 m AGL to avoid dust interference"", ""Descend to 30 m AGL and proceed to waypoint 2"", ""Hover at current position until comms restore at 110 s"", ""Divert east, descend below 50 m, and hold outside NFZ"", ""Accelerate to next waypoint to minimize exposure"", ""Enter NFZ briefly to cut across diagonal for time"", ""Maintain course and altitude; sensors sufficient""]","Descending below 50 m and diverting east avoids the NFZ, maintains terrain separation, and reduces dust-induced sensor stress. It also preserves lateral separation from the drifting obstacle and the other UAV. Other options either violate the NFZ, increase collision risk, or ignore comms dropout during critical navigation." 2025-11-01T17:53:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Ship_Deck_Delivery_with_Gusts_b8d66edd7602_mcq.json,uavbench-mcq-v1,Coastal_Ship_Deck_Delivery_with_Gusts,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"With 8.5 m/s winds and a second UAV moving west, which action maintains 25 m separation and hits waypoints in 600 s?","This is a coastal delivery mission using a single-rotor helicopter UAV carrying a 2 kg payload. The flight occurs in a defined coastal airspace with good visibility but strong winds from the southwest at 8.5 m/s and gusts up to 4.5 m/s. The UAV is equipped with GNSS, IMU, lidar, camera, and other standard sensors, relying on battery power with a 30% reserve requirement. The mission involves navigating a corridor pattern through three waypoints before landing on a ship deck, while avoiding a cylindrical no-fly zone near the center of the airspace. The operational altitude is restricted between 5 m and 120 m AGL within a rectangular geofence. A second UAV is present, flying westward at constant speed, requiring separation monitoring. The UAV must maintain at least 25 m separation with a time-to-closest approach threshold of 15 seconds. GNSS multipath effects may occur near the ship structure, and wind gusts increase control difficulty. The mission must be completed within 600 seconds while avoiding collisions, NFZ breaches, and separation violations. Battery endurance and precise maneuvering are critical due to environmental and spatial constraints.",Climb to 120 m to avoid gusts and reassess every 30 s,Descend to 5 m AGL to reduce wind exposure and drift,Adjust heading 10° north to counteract wind drift and align approach,Match speed with second UAV to minimize relative closure rate,Delay takeoff by 45 s to allow second UAV to exit airspace,Cut across NFZ perimeter at 45 m altitude to save 20 s,Reduce speed near ship to compensate for GNSS multipath effects,"[""Climb to 120 m to avoid gusts and reassess every 30 s"", ""Descend to 5 m AGL to reduce wind exposure and drift"", ""Adjust heading 10° north to counteract wind drift and align approach"", ""Match speed with second UAV to minimize relative closure rate"", ""Delay takeoff by 45 s to allow second UAV to exit airspace"", ""Cut across NFZ perimeter at 45 m altitude to save 20 s"", ""Reduce speed near ship to compensate for GNSS multipath effects""]","C counters wind-induced drift while maintaining progress toward waypoints, ensuring timing and spatial compliance. It preserves separation by avoiding unpredictable lateral deviations. Other options either breach constraints or degrade coordination efficiency under dynamic conditions." 2025-11-01T17:53:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Ship_Deck_Delivery_with_Swarm_Drones_in_Hail_050a3ed71752_mcq.json,uavbench-mcq-v1,Coastal_Ship_Deck_Delivery_with_Swarm_Drones_in_Hail,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"During 8 m/s winds from 240° and hail, how should drones adjust pitch and airspeed to maintain lift with 45s icing degradation?","Swarm drones conduct a coastal ship deck delivery mission in adverse weather with hail and strong winds. The operation takes place in a defined coastal airspace with a maximum altitude of 120 meters AGL. Weather conditions include 8 m/s winds from 240 degrees, gusts up to 4 m/s, and poor visibility due to hail. Four swarm drones, each an octocopter with radar and RGB camera payload, execute the delivery. A static no-fly zone and a moving no-fly cylinder create dynamic airspace constraints. The swarm must avoid a drifting spherical obstacle and maintain minimum 5-meter inter-drone separation. A distant UAV traffic participant crosses the airspace at 12 m/s, requiring detect-and-avoid compliance. GNSS multipath effects and temporary comms loss windows challenge navigation and control. An icing event occurs mid-mission, degrading performance for 45 seconds. Battery reserve is tightly managed under high drag and wind resistance throughout the 10-minute mission.",Increase pitch by 15° and reduce airspeed to 10 m/s,Maintain current pitch and increase throttle by 20%,Decrease pitch to 5° and double throttle output,Increase angle of attack beyond 18° to maximize lift,Reduce airspeed to 6 m/s and decrease rotor RPM,Bank 30° into wind without pitch correction,Slightly increase pitch and airspeed to offset ice-induced drag,"[""Increase pitch by 15° and reduce airspeed to 10 m/s"", ""Maintain current pitch and increase throttle by 20%"", ""Decrease pitch to 5° and double throttle output"", ""Increase angle of attack beyond 18° to maximize lift"", ""Reduce airspeed to 6 m/s and decrease rotor RPM"", ""Bank 30° into wind without pitch correction"", ""Slightly increase pitch and airspeed to offset ice-induced drag""]","Icing increases blade surface roughness, raising profile drag and lowering lift coefficient. Increasing pitch and airspeed compensates for reduced aerodynamic efficiency while avoiding stall. Other options either exceed critical angle of attack, reduce lift, or inadequately address density altitude and wind vector effects." 2025-11-01T17:53:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Solar_Wing_Recon_Mission_d06943c081f1_mcq.json,uavbench-mcq-v1,Coastal_Solar_Wing_Recon_Mission,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 200m altitude, UAV faces hail, GNSS jamming (-75 dBm), and a moving obstacle. Icing begins. What immediate action is required?","This is a fixed-wing area reconnaissance mission along a coastal region using a solar-powered UAV equipped with radar, RGB, and thermal cameras. The flight occurs in a defined airspace with a minimum altitude of 50 meters AGL and a maximum of 450 meters, bounded by a rectangular geofence. A cylindrical no-fly zone centered at (400, 300) restricts access from 50 to 400 meters altitude with a 75-meter radius. The UAV must follow a corridor-style waypoint pattern while avoiding a moving spherical obstacle traveling west at 5 m/s near 200 meters altitude. Winds increase with altitude, reaching 18 m/s from 270 degrees at 300 meters, with poor visibility and hail present. GNSS signals are degraded due to jamming at -75 dBm, and electromagnetic interference may affect navigation. A second UAV operates within the airspace at 350 meters, requiring separation of at least 50 meters or a time-to-closest approach under 30 seconds to trigger alerts. The mission includes an icing event lasting 60 seconds starting at step 200, reducing performance by 60% severity. Communication experiences brief downlink losses between 150–160 and 300–315 seconds, with a minimum RSSI of -85 dBm.",Descend to 45m to avoid icing and hail,Climb to 350m for better GNSS signal,Continue current path to maintain mission timeline,Enter no-fly zone to shortcut around obstacle,Shut down cameras to save power for navigation,Eject payload to reduce weight during icing,Initiate controlled descent to 50m AGL and loiter,"[""Descend to 45m to avoid icing and hail"", ""Climb to 350m for better GNSS signal"", ""Continue current path to maintain mission timeline"", ""Enter no-fly zone to shortcut around obstacle"", ""Shut down cameras to save power for navigation"", ""Eject payload to reduce weight during icing"", ""Initiate controlled descent to 50m AGL and loiter""]","Safety requires maintaining minimum altitude (50m) while mitigating icing and sensor degradation. Continuing or climbing increases risk from weather, obstacles, or airspace violations. G ensures compliance, stability, and readiness to resume when conditions improve." 2025-11-01T17:53:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Swarm_Coordination_with_Strong_Crosswind_76b562c23fec_mcq.json,uavbench-mcq-v1,Coastal_Swarm_Coordination_with_Strong_Crosswind,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,How should the leader hexacopter adjust pitch and thrust in 8.5 m/s crosswind from 240° to maintain 15 m AGL and track toward Waypoint 3?,"This mission involves a swarm of four hexacopters conducting a coastal survey in strong crosswind conditions. The operation takes place within a defined polygonal airspace near the coast, bounded between 15 and 120 meters AGL. Winds are from 240 degrees at 8.5 m/s with gusts up to 4.2 m/s, creating challenging flight dynamics. Each UAV is equipped with GNSS, IMU, lidar, RGB camera, and basic environmental sensors for navigation and data collection. The swarm includes leader, scout, and follower roles, maintaining a minimum separation of 15 meters. A static no-fly zone (cylinder radius 50m) and a moving no-fly zone (shifting at -3.0, -1.5 m/s) must be avoided. There is also a moving spherical obstacle traveling west at 2.0 m/s. The primary mission is a corridor survey with five waypoints and a 600-second time budget. External traffic includes another UAV entering from the east at 90 meters altitude. Battery reserve is set to 30%, and system performance will be evaluated on NFZ clearance, separation, battery levels, and mission completion.",Increase pitch angle by 8° and reduce thrust 12% to descend gradually,Maintain current pitch and increase thrust 18% to counteract drag rise,Decrease pitch 5° and increase thrust 10% to reduce angle of attack,Increase pitch 6° and apply lateral cyclic to crab 10° into wind,Reduce collective thrust 15% while increasing pitch for lift efficiency,Hold pitch steady and decrease thrust to save battery in tailwind component,Bank 12° downwind without yaw correction to accelerate toward waypoint,"[""Increase pitch angle by 8° and reduce thrust 12% to descend gradually"", ""Maintain current pitch and increase thrust 18% to counteract drag rise"", ""Decrease pitch 5° and increase thrust 10% to reduce angle of attack"", ""Increase pitch 6° and apply lateral cyclic to crab 10° into wind"", ""Reduce collective thrust 15% while increasing pitch for lift efficiency"", ""Hold pitch steady and decrease thrust to save battery in tailwind component"", ""Bank 12° downwind without yaw correction to accelerate toward waypoint""]","Increasing pitch and applying lateral control allows the hexacopter to generate a crab angle into the 240° crosswind, balancing wind-induced drift and maintaining track toward Waypoint 3. This adjustment preserves groundspeed, minimizes sideslip-induced drag, and sustains lift equilibrium at 15 m AGL without exceeding structural or aerodynamic limits." 2025-11-01T17:53:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Solar_Wing_Survey_with_Moving_NFZ_60047eee935f_mcq.json,uavbench-mcq-v1,Coastal_Solar_Wing_Survey_with_Moving_NFZ,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,G,False,"UAV detects GNSS spoofing near (1000, 300) with 8.5 m/s winds; what action ensures mission integrity and NFZ avoidance?","Solar-powered fixed-wing UAV conducts coastal survey mission in controlled airspace with a moving no-fly zone. Flight occurs in good visibility with 8.5 m/s winds from 240° and gusts up to 4.5 m/s. The UAV features RGB camera payload for imaging and relies on GNSS, IMU, magnetometer, and barometer for navigation. Operating between 50 and 600 meters AGL, the aircraft must avoid a static cylindrical NFZ near (1000, 300) and a dynamically moving NFZ drifting southwest at 3.1 m/s. Mission involves a grid survey pattern across five waypoints at 150 m altitude within a 1500×2000 m polygonal boundary. A distant conflicting UAV flies westbound at 15 m/s, requiring separation assurance. A moving spherical obstacle at 200 m altitude travels southwest, adding collision risk. DAA system enforces 50-meter separation and 30-second time-to-closest-approach thresholds. Battery endurance is critical, with 30% reserved for safety, and mission must complete within 600 seconds. Return-to-home is prioritized at the spawn point, with an emergency landing option available at the far southeast corner.",Continue on GNSS-guided path using camera updates every 5 s,Switch to IMU-magnetometer dead reckoning with barometric altitude hold,Rely solely on RGB camera matching for position correction,Transmit unencrypted telemetry to ground for manual override,Descend to 50 m and fly southwest at maximum speed,Activate return-to-home immediately via default GNSS coordinates,Engage DAA-prioritized inertial navigation with encrypted C2 link,"[""Continue on GNSS-guided path using camera updates every 5 s"", ""Switch to IMU-magnetometer dead reckoning with barometric altitude hold"", ""Rely solely on RGB camera matching for position correction"", ""Transmit unencrypted telemetry to ground for manual override"", ""Descend to 50 m and fly southwest at maximum speed"", ""Activate return-to-home immediately via default GNSS coordinates"", ""Engage DAA-prioritized inertial navigation with encrypted C2 link""]","GNSS spoofing requires fallback to trusted inertial sensors while preserving command integrity. Encrypted C2 prevents adversarial takeover during reversion. G maintains control stability, ensures NFZ awareness via DAA, and protects mission-critical data links." 2025-11-01T17:53:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Swarm_Surveillance_Under_Moving_NFZ_f33b5da04824_mcq.json,uavbench-mcq-v1,Coastal_Swarm_Surveillance_Under_Moving_NFZ,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"Given 6.2 m/s winds from 240° and a drifting no-fly zone moving southwest at 2.5 m/s, how should UAVs maintain corridor coverage with GNSS integrity concerns?","Coastal swarm surveillance mission using five UAVs with RGB cameras and lidar. Operates in coastal airspace with good visibility and moderate winds from 240° at 6.2 m/s with gusts. UAVs are battery-powered hexacopters, each carrying a 0.3 kg payload with moderate drag. Mission involves surveying a corridor-shaped route within a defined polygonal geofence. A moving no-fly zone in the form of a drifting cylinder must be avoided. Dynamic NFZ moves southwest at 2.5 m/s, requiring real-time path adjustments. Another UAV and a moving spherical obstacle introduce collision risks. Swarm maintains minimum 15 m separation between drones, with DAA thresholds at 25 m and 15 s TTC. Flight altitude is restricted between 20 m and 150 m AGL. Primary constraints include battery endurance, GNSS signal integrity, and maintaining safe separation.",Rely solely on GNSS for positioning to maximize route accuracy,Switch to IMU-only navigation to avoid signal multipath errors,Use lidar-ground alignment to correct GNSS drift in real time,Increase separation to 30 m to compensate for wind-induced drift,Disable DAA to reduce sensor fusion processing load,Follow the drifting NFZ boundary using RGB optical flow only,Descend to 15 m AGL for better visual-lidar terrain matching,"[""Rely solely on GNSS for positioning to maximize route accuracy"", ""Switch to IMU-only navigation to avoid signal multipath errors"", ""Use lidar-ground alignment to correct GNSS drift in real time"", ""Increase separation to 30 m to compensate for wind-induced drift"", ""Disable DAA to reduce sensor fusion processing load"", ""Follow the drifting NFZ boundary using RGB optical flow only"", ""Descend to 15 m AGL for better visual-lidar terrain matching""]",Lidar provides terrain-relative measurements that correct GNSS drift caused by coastal multipath and wind-induced position errors. Fusing lidar with visual and inertial data maintains navigation integrity when GNSS degrades. This adaptive fusion ensures accurate corridor tracking while avoiding the dynamic no-fly zone. 2025-11-01T17:53:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Medical_Delivery_Glider_b918fa98752d_mcq.json,uavbench-mcq-v1,Coastal_Medical_Delivery_Glider,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"At 180s, icing reduces performance; UAV must avoid a westward-moving NFZ cylinder and static NFZ while reaching waypoint W4 by 400s.","This is a coastal medical delivery mission using a fixed-wing glider UAV equipped with RGB and thermal cameras. The flight occurs in a designated coastal airspace with a maximum altitude of 300 m AGL and a minimum of 30 m AGL. Weather conditions include strong westerly winds at 8 m/s, gusts up to 4 m/s, poor visibility, and icing risk. The glider has a 5.2 kg mass, carries a 1.0 kg medical payload, and relies on battery power with a 450 Wh capacity. Key constraints include a static no-fly zone near the center of the airspace and a moving no-fly cylinder traveling westward. The UAV must avoid dynamic traffic and a drifting spherical obstacle while maintaining separation of at least 50 m. GNSS performance is degraded due to multipath and moderate jamming at -85 dBm, with potential comms loss between 400–410 seconds. The mission requires runway-aligned takeoff and landing, with a preferred landing site at the far end of the zone. An icing fault event occurs at 180 seconds, reducing performance for one minute. The flight must complete within 600 seconds while navigating wind shear and thermal updrafts near the midpoint.","Climb to 290 m AGL, arc north around both NFZs, proceed to W4","Descend to 40 m AGL, fly direct through static NFZ to save time","Hold west of static NFZ at 100 m AGL until 390s, then dash to W4","Turn south, descend to 35 m AGL, route via coastal thermal updraft","Continue current heading, accept 5 m NFZ penetration for faster W4 arrival","Divert east to holding pattern, wait for moving NFZ to pass W4","Accelerate through gap between NFZs at 200 m AGL, reach W4 by 380s","[""Climb to 290 m AGL, arc north around both NFZs, proceed to W4"", ""Descend to 40 m AGL, fly direct through static NFZ to save time"", ""Hold west of static NFZ at 100 m AGL until 390s, then dash to W4"", ""Turn south, descend to 35 m AGL, route via coastal thermal updraft"", ""Continue current heading, accept 5 m NFZ penetration for faster W4 arrival"", ""Divert east to holding pattern, wait for moving NFZ to pass W4"", ""Accelerate through gap between NFZs at 200 m AGL, reach W4 by 380s""]","Option G maintains safe separation from both NFZs, uses efficient altitude to leverage wind and thermal effects, and arrives at W4 within time while conserving energy. Other options either breach NFZs, risk low-altitude instability, or introduce unnecessary delays. It accounts for GNSS drift by avoiding tight corridors and respects post-icing performance limits." 2025-11-01T17:53:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Thermal_Soaring_Mission_for_Glider_46e0b68b5973_mcq.json,uavbench-mcq-v1,Coastal_Thermal_Soaring_Mission_for_Glider,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,Which path maximizes thermal use and avoids dynamic obstacles within 600 s and 450 m altitude?,"This is a coastal survey mission using a battery-powered glider equipped with RGB and thermal cameras. The flight occurs in a designated coastal airspace with a maximum altitude of 450 meters AGL and a minimum safe altitude of 10 meters. Weather conditions include a 6.5 m/s wind from 240 degrees, increasing with altitude, and moderate gusts of 3 m/s, along with thermal updrafts enhancing lift. The glider leverages two identified thermal plumes at (1200, 800) and (2000, 1500) to extend endurance by soaring. A static no-fly zone is present near (1500, 500), and a dynamic no-fly zone moves westward from (2500, 1000) at 3 m/s. The mission includes five survey waypoints flown in a corridor pattern, with a 600-second time budget and no runway requirement. The UAV must avoid a moving obstacle at (2200, 1200, 150) and maintain separation from another UAV traveling west at 18 m/s. Communication experiences brief uplink/downlink outages between 120–130 and 450–460 seconds. GNSS signal integrity is maintained with no multipath or jamming, and the flight begins from (100, 100, 50) with a heading of 90 degrees.","Circle first thermal, then direct to waypoints avoiding no-fly zone","Skip thermals, fly direct to extend survey time at low altitude","Use second thermal only, intercept moving obstacle's predicted path",Climb early in first thermal to sync comms during first outage window,Delay takeoff to align with second thermal activation at 120 s,Fly west above 400 m to exploit wind boost and avoid dynamic zone,Coordinate with other UAV to share thermal updrafts and split survey legs,"[""Circle first thermal, then direct to waypoints avoiding no-fly zone"", ""Skip thermals, fly direct to extend survey time at low altitude"", ""Use second thermal only, intercept moving obstacle's predicted path"", ""Climb early in first thermal to sync comms during first outage window"", ""Delay takeoff to align with second thermal activation at 120 s"", ""Fly west above 400 m to exploit wind boost and avoid dynamic zone"", ""Coordinate with other UAV to share thermal updrafts and split survey legs""]","Coordinated thermal sharing balances energy use and task division between UAVs, avoiding collision and communication dropouts. It ensures both agents maintain optimal altitude and timing across survey legs while respecting dynamic zones. All other choices either waste lift, risk conflict, or miss coordination opportunities essential for endurance and coverage." 2025-11-01T17:53:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Tower_Spiral_Inspection_with_Convertiplane_226f0a27d70c_mcq.json,uavbench-mcq-v1,Coastal_Tower_Spiral_Inspection_with_Convertiplane,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During spiral ascent with intermittent GNSS and 30% comms loss, how should navigation integrity be maintained?","This mission involves a convertiplane UAV conducting a spiral inspection of a coastal tower. The operation takes place in a coastal airspace with a defined geofence and both static and moving no-fly zones. Weather conditions include moderate westerly winds increasing with altitude and good visibility. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It must avoid a stationary cylindrical NFZ around the tower and a dynamic obstacle moving westward. Additional challenges include GNSS multipath effects, electromagnetic interference, and periodic communication losses. The UAV must perform a runway-assisted takeoff and landing despite limited space. Wind shear and thermal updrafts may affect flight stability during the climb and descent. Battery reserves are closely monitored due to energy-intensive hover and transition phases. Mission success depends on maintaining separation from obstacles and completing the spiral pattern within the time and altitude constraints.",Rely solely on encrypted GNSS for position updates,Switch to LiDAR-aided INS when GNSS signal deviates >2m,Increase control loop frequency to 200Hz during transitions,Use unencrypted RTK-GNSS to improve positional accuracy,Trust thermal camera data for altitude when GPS drops,Transmit telemetry via open link to ensure contact,Override actuator commands if wind shear exceeds threshold,"[""Rely solely on encrypted GNSS for position updates"", ""Switch to LiDAR-aided INS when GNSS signal deviates >2m"", ""Increase control loop frequency to 200Hz during transitions"", ""Use unencrypted RTK-GNSS to improve positional accuracy"", ""Trust thermal camera data for altitude when GPS drops"", ""Transmit telemetry via open link to ensure contact"", ""Override actuator commands if wind shear exceeds threshold""]","B ensures navigation continuity by fusing LiDAR with INS during GNSS outages, preserving data integrity and control stability. It mitigates spoofing and multipath risks through sensor diversity and local validation. Other options either expose cryptographic vulnerabilities or rely on untrusted data sources." 2025-11-01T17:53:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Solar_Wing_Swarm_Coordination_in_Hot_Extremes_95e58d9940d2_mcq.json,uavbench-mcq-v1,Coastal_Solar_Wing_Swarm_Coordination_in_Hot_Extremes,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"At 320s, GNSS fails; UAVs face lightning risk below 450m, a moving obstacle, and must survey within 900s. What action maximizes safety and mission success?","This mission involves a swarm of four solar-powered fixed-wing UAVs conducting a coastal survey in hot weather with lightning risk. The operation takes place in a defined coastal airspace with a maximum altitude of 450 meters AGL and includes a geofenced rectangular zone containing static and moving no-fly zones. Winds are moderate to strong, increasing with altitude, and vary in direction, requiring adaptive flight control. The UAVs are equipped with RGB and thermal cameras for data collection and rely on GNSS, IMU, and other sensors, but face GNSS multipath, jamming, and electromagnetic interference. The swarm must coordinate roles—leader, follower, relay, scout—while maintaining minimum separation of 30 meters and avoiding a dynamic no-fly cylinder moving across the area. A manned aircraft approaches along a runway alignment, adding separation concerns, and a moving spherical obstacle traverses the path. The UAVs must complete a corridor-style waypoint survey within 900 seconds, requiring precise navigation despite induced faults including GNSS jamming at 320 seconds and IMU bias at 680 seconds. Communication experiences two brief downlink loss windows, and the mission demands runway-aligned takeoff and landing. Success depends on energy management, fault resilience, and maintaining safe distances from obstacles, NFZs, and other traffic throughout the flight.",Climb to 450m for stable wind and solar gain,Descend to 100m to avoid lightning and jamming,"Hold altitude, switch to IMU-only navigation","Divert swarm west, increasing inter-UAV spacing","Reduce speed, use terrain correlation for navigation",Accelerate to exit NFZ before obstacle arrival,Land immediately via runway-aligned approach,"[""Climb to 450m for stable wind and solar gain"", ""Descend to 100m to avoid lightning and jamming"", ""Hold altitude, switch to IMU-only navigation"", ""Divert swarm west, increasing inter-UAV spacing"", ""Reduce speed, use terrain correlation for navigation"", ""Accelerate to exit NFZ before obstacle arrival"", ""Land immediately via runway-aligned approach""]","Reducing speed conserves energy and improves control under IMU bias later, while terrain correlation compensates for GNSS loss. It maintains safe separation and avoids lightning-prone altitudes without aborting. This balances aerodynamic stability, navigation resilience, energy limits, and obstacle avoidance within mission time." 2025-11-01T17:53:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_VTOL_Transition_Test_with_Icing_Conditions_48aad4c345f4_mcq.json,uavbench-mcq-v1,Coastal_VTOL_Transition_Test_with_Icing_Conditions,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 200 s, icing reduces lift by 15% during VTOL transition at 12 m/s airspeed in 8 m/s shear layer. Which action maintains control?","This is a coastal VTOL transition test mission using a solar-wing UAV equipped with RGB camera payload. The flight occurs in coastal airspace with moderate wind increasing with altitude and directional shear. Icing conditions are present, with a simulated icing event occurring at 200 seconds, reducing aerodynamic efficiency. The UAV transitions between vertical and fixed-wing flight, requiring precise control during conversion phases. GNSS multipath and mild jamming are present, challenging navigation accuracy near the coast. A static no-fly zone and a moving dynamic exclusion zone must be avoided during flight. Wind shear and thermal updrafts affect flight dynamics, particularly at higher altitudes. The UAV must complete a corridor survey pattern within a 10-minute window while maintaining separation from traffic and obstacles. Battery reserve is set to 30%, and low visibility is not an issue, but icing and sensor faults are key risks. Emergency landing sites are available inland in case of degradation due to icing or communication loss.",Increase pitch attitude by 10° to regain lift,Reduce airspeed to 8 m/s to minimize drag,Apply full differential thrust for roll correction,Extend flaps fully to increase camber,Increase collective pitch before angle of attack rise,Bank 20° into wind to counter lateral drift,Maintain current attitude and increase throttle 25%,"[""Increase pitch attitude by 10° to regain lift"", ""Reduce airspeed to 8 m/s to minimize drag"", ""Apply full differential thrust for roll correction"", ""Extend flaps fully to increase camber"", ""Increase collective pitch before angle of attack rise"", ""Bank 20° into wind to counter lateral drift"", ""Maintain current attitude and increase throttle 25%""]","Icing reduces aerodynamic efficiency, decreasing lift coefficient and increasing stall risk. Increasing throttle compensates for lost lift without increasing angle of attack, avoiding stall. Maintaining attitude preserves airflow alignment, while added thrust counters drag rise and sustains transition airspeed." 2025-11-01T17:53:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Cold_Warehouse_VTOL_Escort_ffa76b09ca02_mcq.json,uavbench-mcq-v1,Cold_Warehouse_VTOL_Escort,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"During transition at 8 m/s airspeed inside the warehouse, with 2 m/s south gusts and icing, what minimizes stall risk while maintaining control?","This mission involves a VTOL tiltrotor UAV conducting a convoy escort inside a large indoor warehouse. The flight occurs in confined airspace bounded by a polygonal geofence with a maximum altitude of 15 meters AGL. Weather includes light winds from the south, gusts up to 2 m/s, and icing conditions that pose a risk to flight surfaces. The UAV carries an electro-optical payload with RGB and thermal cameras for surveillance and navigation support. A static no-fly zone blocks the central area, and a moving no-fly cylinder drifts through the space, requiring real-time avoidance. Additional dynamic obstacles and a second UAV in the airspace demand strict separation management. GNSS signals suffer from multipath and moderate jamming, limiting reliance on satellite navigation. The mission must be completed within 600 seconds, following a corridor pattern with coordinated transitions between hover and forward flight. The UAV operates as part of a three-unit swarm with leader, follower, and relay roles, maintaining at least 5 meters inter-UAV separation. Icing events and communication dropouts introduce fault conditions requiring robust decision-making and contingency handling.",Increase rotor pitch and reduce nacelle angle to 60°,Maintain hover mode and ascend to 14 m AGL,Accelerate to 12 m/s with nacelles at 85° tilt,Reduce airspeed to 5 m/s and increase angle of attack,Bank 30° into the wind with nacelles at 45°,Descend to 5 m AGL and maintain 8 m/s with 75° tilt,Hold 8 m/s with nacelles at 70° and slight nose-up attitude,"[""Increase rotor pitch and reduce nacelle angle to 60°"", ""Maintain hover mode and ascend to 14 m AGL"", ""Accelerate to 12 m/s with nacelles at 85° tilt"", ""Reduce airspeed to 5 m/s and increase angle of attack"", ""Bank 30° into the wind with nacelles at 45°"", ""Descend to 5 m AGL and maintain 8 m/s with 75° tilt"", ""Hold 8 m/s with nacelles at 70° and slight nose-up attitude""]","At 8 m/s during transition, 70° nacelle tilt balances lift generation and forward thrust while avoiding rotor wake recirculation. A slight nose-up attitude compensates for reduced wing lift due to icing, increasing angle of attack without exceeding critical stall. Other options either reduce airflow over wings (D), induce flow separation (A, E), or operate outside efficient tiltrotor transition envelopes (B, C, F)." 2025-11-01T17:53:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convertiplane_Corridor_Follow_in_Microburst_Risk_d82334b95337_mcq.json,uavbench-mcq-v1,Convertiplane_Corridor_Follow_in_Microburst_Risk,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 100m AGL, 14 m/s westerly wind and gusts require transition while managing microburst risk and 8-second vtol-to-forward limit.","A convertiplane UAV conducts an inspection mission along a linear corridor near an airport perimeter. The route spans 400 meters eastward at altitudes between 20 and 120 meters AGL. Winds increase with altitude, reaching 14 m/s from 270° at 100 meters, with gusts and microburst risk present. The UAV transitions between hover and forward flight, constrained by an 8-second vtol-to-forward and 10-second forward-to-vtol phase. A cylindrical no-fly zone of 30-meter radius is centered at (250,150), with vertical limits from 20 to 80 meters. A static spherical obstacle at (250,150,50) with 10-meter radius poses an additional collision hazard. Another UAV enters from the south at 12 m/s, requiring separation maintenance above 25 meters and 15-second time-to-closest approach thresholds. GNSS jamming occurs at 120 seconds and IMU bias at 300 seconds, challenging navigation reliability. Communication experiences a 10-second downlink loss window starting at 450 seconds. The mission requires runway-aligned landing at (480,100) within a 600-second time budget, with 30% battery reserve.",Increase pitch to 15° to accelerate faster in headwind.,Delay transition until wind stabilizes below 10 m/s.,Reduce rotor thrust gradually to minimize drag rise.,Transition immediately with 5° nose-down to reduce AoA.,Maintain hover to avoid dynamic stall in gusts.,Pitch forward rapidly to reach wing-borne flight in 6s.,Climb to 130m for smoother airflow above shear layer.,"[""Increase pitch to 15° to accelerate faster in headwind."", ""Delay transition until wind stabilizes below 10 m/s."", ""Reduce rotor thrust gradually to minimize drag rise."", ""Transition immediately with 5° nose-down to reduce AoA."", ""Maintain hover to avoid dynamic stall in gusts."", ""Pitch forward rapidly to reach wing-borne flight in 6s."", ""Climb to 130m for smoother airflow above shear layer.""]","A 15° pitch increases wing angle of attack into the headwind, enhancing lift generation during transition while utilizing favorable wind for airspeed buildup. This balances thrust vectoring and aerodynamic lift within the 8-second transition window, avoiding stall at low airspeeds. Other options either delay critical maneuvers, exceed structural limits, or increase exposure to microburst risk." 2025-11-01T17:53:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convertiplane_Facade_Inspection_at_Wind_Farm_under_Lightning_Risk_ce4b579edefb_mcq.json,uavbench-mcq-v1,Convertiplane_Facade_Inspection_at_Wind_Farm_under_Lightning_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"At 415 s, UAV must adjust for GNSS spoofing at 420 s, avoid a drifting sphere, and maintain separation from a peer UAV.","This is a convertiplane UAV mission for facade inspection at a wind farm. The operation takes place within a defined polygon airspace with a maximum altitude of 120 m AGL and a minimum of 10 m AGL. Weather conditions include moderate winds at 8 m/s from 240°, gusts up to 4 m/s, good visibility, and a lightning risk. The UAV is equipped with a battery-powered convertiplane design, carrying RGB and thermal cameras for inspection purposes. A critical no-fly zone exists as a cylinder near the center of the area, extending up to 60 m altitude. The mission follows a corridor inspection pattern with five waypoints and requires a runway for landing. The UAV must avoid a moving spherical obstacle drifting southward and maintain separation from another UAV in the area. GNSS spoofing is expected at 420 seconds into the flight, lasting 30 seconds with high severity. Communication downlink experiences brief outages at 200 and 500 seconds. The UAV must complete the mission within 600 seconds while managing energy reserves and adhering to dynamic avoidance thresholds.",Climb to 110 m and hold position until spoofing ends,Proceed to next waypoint at reduced speed and activate RNP mode,Descend to 15 m and fly east to avoid obstacle and peer UAV,Hover in place using optical flow until GNSS recovers,Reverse course and re-enter corridor after 30 s,Increase speed to complete inspection before 600 s,Transmit priority downlink and request peer UAV to adjust track,"[""Climb to 110 m and hold position until spoofing ends"", ""Proceed to next waypoint at reduced speed and activate RNP mode"", ""Descend to 15 m and fly east to avoid obstacle and peer UAV"", ""Hover in place using optical flow until GNSS recovers"", ""Reverse course and re-enter corridor after 30 s"", ""Increase speed to complete inspection before 600 s"", ""Transmit priority downlink and request peer UAV to adjust track""]","B maintains mission continuity by proceeding conservatively under Required Navigation Performance (RNP) during GNSS outage, preserving coordination with the peer UAV's expected trajectory. It avoids the moving obstacle and respects the 10 m AGL minimum while ensuring timely mission completion within 600 s. Other options either break separation, waste time, or increase risk during critical phases." 2025-11-01T17:53:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convertiplane_Loiter_in_Dense_Urban_Cold_587a48aa2754_mcq.json,uavbench-mcq-v1,Convertiplane_Loiter_in_Dense_Urban_Cold,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,"At 120m AGL, 15 m/s westerly winds and icing reduce performance; maintain survey orbit within polygonal geofence and 30% energy reserve.","The mission is a survey with a loiter orbit pattern in a dense urban environment. The UAV is a convertiplane equipped with RGB camera and LiDAR payload, powered by a battery. Operations occur between 10 and 150 meters AGL within a defined polygonal geofence. Weather includes strong westerly winds up to 15 m/s at altitude, gusts, and icing conditions. GNSS multipath and electromagnetic interference are present, with moderate jamming. A static no-fly zone and a moving dynamic no-fly cylinder challenge navigation. Another UAV and a moving spherical obstacle require separation and avoidance. The UAV must maintain runway access for landing and manage energy with a 30% reserve. An icing fault event occurs mid-mission, reducing performance for one minute. Wind shear and thermal updrafts add complexity to flight stability and path planning.","Descend to 100m AGL, reduce speed, continue orbit","Climb to 150m AGL, increase speed, reroute east","Hold altitude, decelerate, orbit clockwise","Exit survey, return to landing corridor immediately","Deviate north, fly at 110m AGL, avoid dynamic cylinder","Maintain 120m AGL, reduce bank angle, slow orbit","Surge forward, climb to 140m, cut through NFZ edge","[""Descend to 100m AGL, reduce speed, continue orbit"", ""Climb to 150m AGL, increase speed, reroute east"", ""Hold altitude, decelerate, orbit clockwise"", ""Exit survey, return to landing corridor immediately"", ""Deviate north, fly at 110m AGL, avoid dynamic cylinder"", ""Maintain 120m AGL, reduce bank angle, slow orbit"", ""Surge forward, climb to 140m, cut through NFZ edge""]","Maintaining 120m AGL respects the operational altitude band and geofence while reducing bank angle counters wind gusts and icing-induced instability. Slowing the orbit preserves energy, avoids NFZ breaches, and accommodates GNSS drift without sacrificing survey coverage. Other options either violate altitude limits, enter restricted zones, or waste energy." 2025-11-01T17:53:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convertiplane_Thermal_Soaring_at_Airport_Perimeter_with_Hail_67b0069918b3_mcq.json,uavbench-mcq-v1,Convertiplane_Thermal_Soaring_at_Airport_Perimeter_with_Hail,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"A UAV must survey a corridor within 600 s, avoid a moving no-fly zone, and maintain separation from another UAV despite GNSS degradation and two 30-s communication dropouts.","This UAV mission involves a convertiplane conducting a survey along a corridor near an airport perimeter. The airspace is constrained between 30 and 400 meters AGL, with a static no-fly zone near the center and a moving no-fly zone drifting across the area. The UAV is equipped with radar, RGB and thermal cameras, relying on battery power with a reserve margin for safety. Weather conditions include strong winds increasing with altitude, poor visibility, and active hail, compounding flight risks. A significant challenge is GNSS signal degradation due to multipath effects and moderate jamming, alongside electromagnetic interference. The mission requires runway access and includes dynamic obstacles and another UAV on a crossing path, demanding strict separation. Thermal updrafts are present and can be exploited for energy-efficient soaring between waypoints. An icing event occurs mid-mission, temporarily affecting performance and increasing power demand. Communication dropouts are expected at two intervals, limiting ground control input. The UAV must complete its survey within 600 seconds while avoiding geofence breaches, stalls, and near-miss violations.",Ascend to 400 m for better GNSS signal and thermal updrafts,Delay takeoff to synchronize with the other UAV's crossing path,Offload sensor data to the other UAV during communication dropouts,Exploit thermal updrafts at 30–100 m while alternating camera modes,Increase speed to complete survey before icing reduces battery life,Rely on radar-only navigation when GNSS degrades above 200 m,Coordinate altitude swaps with the other UAV to share bandwidth,"[""Ascend to 400 m for better GNSS signal and thermal updrafts"", ""Delay takeoff to synchronize with the other UAV's crossing path"", ""Offload sensor data to the other UAV during communication dropouts"", ""Exploit thermal updrafts at 30–100 m while alternating camera modes"", ""Increase speed to complete survey before icing reduces battery life"", ""Rely on radar-only navigation when GNSS degrades above 200 m"", ""Coordinate altitude swaps with the other UAV to share bandwidth""]","Thermal soaring at lower altitudes conserves battery, critical under icing and communication constraints. RGB and thermal alternation maintains survey quality while managing power. This choice respects GNSS degradation above, avoids conflict with the crossing UAV, and exploits environmental energy without requiring inter-agent synchronization that dropouts would disrupt." 2025-11-01T17:53:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_Near_Wind_Farm_Under_Microburst_Risk_0275d810305a_mcq.json,uavbench-mcq-v1,Convoy_Escort_Near_Wind_Farm_Under_Microburst_Risk,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which UAV configuration best balances 1200 Wh battery, 1.2 kg payload, and 600-second mission under wind, icing, and GNSS degradation?","This mission involves a convoy escort using a convertiplane UAV in a wind farm environment. The airspace is constrained between 10 and 120 meters AGL with a static no-fly zone around a turbine and a dynamic no-fly zone moving across the area. Weather includes strong winds increasing with altitude, gusts, and a microburst risk, posing significant flight challenges. The UAV is equipped with sensors including GNSS, radar, lidar, and RGB camera, but faces GNSS multipath, jamming, and electromagnetic interference. The convertiplane has a battery capacity of 1200 Wh and carries a 1.2 kg payload, requiring careful energy management. The mission requires maintaining proximity to a moving convoy along a defined corridor with loitering capability and a 600-second time budget. A swarm of three UAVs operates with role differentiation and a minimum separation of 25 meters between units. An icing event is simulated at 250 seconds, reducing performance for one minute. Communication experiences brief uplink/downlink outages, and the UAV must use runway-assisted takeoff and landing. Key constraints include maintaining separation from traffic and moving obstacles, avoiding geofence and altitude violations, and ensuring safe operation despite degraded navigation and environmental hazards.",Fixed-wing with max glide ratio and no redundancy,Quadcopter with dual GNSS and high hover endurance,Convertiplane with hybrid lift and radar-only navigation,Convertiplane with sensor fusion and de-icing coils,Fixed-wing with visual-only navigation and low stall speed,Quadcopter with lidar fallback and extra battery mass,Convertiplane with single sensor input and no de-icing,"[""Fixed-wing with max glide ratio and no redundancy"", ""Quadcopter with dual GNSS and high hover endurance"", ""Convertiplane with hybrid lift and radar-only navigation"", ""Convertiplane with sensor fusion and de-icing coils"", ""Fixed-wing with visual-only navigation and low stall speed"", ""Quadcopter with lidar fallback and extra battery mass"", ""Convertiplane with single sensor input and no de-icing""]","The convertiplane with sensor fusion ensures reliable navigation despite GNSS jamming and multipath by integrating radar, lidar, and visual data. De-icing coils mitigate performance loss during the 250-second icing event, preserving control. This option optimally balances energy use, fault tolerance, and environmental adaptability within the 1200 Wh budget and 600-second mission." 2025-11-01T17:53:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_Offshore_in_Sandstorm_f15c6b7106f9_mcq.json,uavbench-mcq-v1,Convoy_Escort_Offshore_in_Sandstorm,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"During sandstorm with 18 m/s winds and GNSS at -85 dBm, maintain 30 m separation while escorting convoy within 600 s.","Mission involves convoy escort using a convertiplane UAV in offshore platform airspace during a sandstorm. Operating area is bounded by a geofence with a static no-fly zone near the center and a moving no-fly zone. Weather includes strong winds up to 18 m/s, poor visibility, and active sandstorm conditions. The UAV is equipped with a comprehensive sensor suite including GNSS, radar, LiDAR, RGB, and thermal cameras. Payload includes surveillance equipment with added drag and mass. GNSS signals are degraded due to multipath and jamming at -85 dBm, with electromagnetic interference present. A three-UAV swarm operates with leader, follower, and scout roles maintaining minimum 30 m separation. Mission must be completed within 600 seconds while avoiding dynamic traffic and a moving obstacle. Downlink communication is unreliable with two scheduled loss windows and weak signal. Runway-assisted takeoff and landing are required, with preferred and emergency landing sites defined.","A- Descend to 50 m AGL, exit swarm, land emergency site","B- Climb to 150 m AGL, accelerate beyond sandstorm layer","C- Hold position at 100 m AGL, await GNSS recovery","游戏副本- Follow convoy at 80 m AGL, use radar for relative navigation","E- Divert to preferred landing, restart mission post-storm","F- Increase speed to 35 m/s, bypass moving no-fly zone","G- Switch to thermal-only tracking, climb to 120 m AGL","[""A- Descend to 50 m AGL, exit swarm, land emergency site"", ""B- Climb to 150 m AGL, accelerate beyond sandstorm layer"", ""C- Hold position at 100 m AGL, await GNSS recovery"", ""游戏副本- Follow convoy at 80 m AGL, use radar for relative navigation"", ""E- Divert to preferred landing, restart mission post-storm"", ""F- Increase speed to 35 m/s, bypass moving no-fly zone"", ""G- Switch to thermal-only tracking, climb to 120 m AGL""]","Operating at 80 m AGL avoids terrain and sandstorm turbulence while staying below upper wind shear layers. Using radar maintains swarm separation and navigation despite GNSS degradation, fulfilling mission timing and safety constraints without violating altitude or separation minima." 2025-11-01T17:53:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convertiplane_Wind_Farm_Inspection_with_Gusts_cbb6996fe87e_mcq.json,uavbench-mcq-v1,Convertiplane_Wind_Farm_Inspection_with_Gusts,minimax/minimax-m1,9,Comparative System Reasoning,7,?,F,False,"Which configuration optimizes endurance, obstacle avoidance, and DAA compliance at 8 m/s wind and 2.5 m/s moving NFZ?","This scenario involves a convertiplane UAV conducting an inspection mission within a wind farm airspace. The UAV is equipped with GNSS, IMU, camera RGB, and LiDAR sensors, supporting visual and spatial data collection. Flight occurs between 10 m and 120 m AGL, within a defined polygonal geofence containing static and dynamic no-fly zones. A cylindrical NFZ near the center restricts access, while a second moving NFZ drifts southwest at 2.5 m/s. The mission includes four waypoints flown in a corridor pattern, requiring a runway takeoff and landing at a designated site. Winds blow from the west at 8 m/s with 4.5 m/s gusts, challenging stability during transitions and low-altitude flight. The UAV must manage aerodynamic and battery performance, transitioning between VTOL and fixed-wing flight with defined transition times. Traffic includes a single intruder UAV flying westward at 12 m/s, requiring DAA compliance with 25 m separation and 20 s TTC thresholds. Communication suffers two brief downlink loss windows, and GNSS multipath may occur near turbines, increasing navigation risk.","Fixed-wing only, no LiDAR, GNSS-only navigation","Quadcopter VTOL, full LiDAR, no DAA processing","Convertiplane, LiDAR+camera fusion, GNSS/IMU with SPP","Convertiplane, camera-only, GNSS/IMU with RTK","Fixed-wing with skid landing, LiDAR, no DAA","Convertiplane, LiDAR+camera, GNSS/IMU with RTK/INS","Convertiplane, LiDAR, no camera, SPP-only positioning","[""Fixed-wing only, no LiDAR, GNSS-only navigation"", ""Quadcopter VTOL, full LiDAR, no DAA processing"", ""Convertiplane, LiDAR+camera fusion, GNSS/IMU with SPP"", ""Convertiplane, camera-only, GNSS/IMU with RTK"", ""Fixed-wing with skid landing, LiDAR, no DAA"", ""Convertiplane, LiDAR+camera, GNSS/IMU with RTK/INS"", ""Convertiplane, LiDAR, no camera, SPP-only positioning""]","F provides sensor redundancy, high-accuracy RTK/INS for GNSS-challenged turbine areas, and enables DAA compliance. It balances aerodynamic efficiency and vertical agility for transitions under 8 m/s wind. Other options lack obstacle detection, positioning resilience, or DAA support, increasing collision or navigation risk." 2025-11-01T17:53:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_at_Airport_Perimeter_in_Snowfall_7d7203065e2d_mcq.json,uavbench-mcq-v1,Convoy_Escort_at_Airport_Perimeter_in_Snowfall,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"UAV must search near airport in 600 s with 2 kg payload, icing, and 25–40 m AGL. Maximize coverage under battery and obstacle constraints.","The mission is a search and rescue operation conducted near an airport perimeter. The UAV operates in a constrained airspace with a designated polygonal geofence and two no-fly zones, one of which is dynamically moving. Weather conditions include moderate snowfall, poor visibility, icing, and crosswinds increasing with altitude. A single helicopter-type UAV with a battery power source and a 2 kg payload is used, equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The UAV must avoid GNSS multipath effects, electromagnetic interference, and brief communication loss periods while maintaining separation from traffic and obstacles. It follows a predefined corridor pattern with five waypoints at varying altitudes between 25 and 40 meters AGL. A second UAV and a moving spherical obstacle traverse the airspace, requiring real-time deconfliction. An icing event occurs mid-mission, reducing performance temporarily. The UAV must complete the mission within 600 seconds while respecting battery reserves and altitude limits.",Fly fixed 40 m altitude to minimize path length,Descend to 25 m in snow to improve visibility and reduce power,Disable LiDAR to save power and use thermal only,Increase speed to cover more waypoints early,Hover at each waypoint to enhance image clarity,Transmit all RGB/LiDAR data continuously at high bitrate,Abort mission after first communication loss,"[""Fly fixed 40 m altitude to minimize path length"", ""Descend to 25 m in snow to improve visibility and reduce power"", ""Disable LiDAR to save power and use thermal only"", ""Increase speed to cover more waypoints early"", ""Hover at each waypoint to enhance image clarity"", ""Transmit all RGB/LiDAR data continuously at high bitrate"", ""Abort mission after first communication loss""]","Flying at 25 m reduces wind exposure and power use while improving sensor performance in snow. It conserves battery for deconfliction and reserve needs. Other options increase energy use, risk, or reduce mission completion probability." 2025-11-01T17:53:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_at_Bridge_Site_under_Cold_Conditions_32b8992e24b8_mcq.json,uavbench-mcq-v1,Convoy_Escort_at_Bridge_Site_under_Cold_Conditions,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV system best handles VTOL-to-forward transition, 200m AGL limits, and communication dropouts in icy, GNSS-degraded airspace?","This mission involves a convoy escort using a convertiplane UAV at a bridge site. The airspace is constrained between 10 and 200 meters AGL with a static no-fly zone near the center and a moving no-fly zone drifting eastward. Weather includes strong winds increasing with altitude, gusts, and icing conditions that temporarily degrade performance. The UAV carries an RGB and thermal camera payload for surveillance and operates in cold, icy conditions affecting aerodynamics. GNSS signals suffer from multipath and moderate jamming, challenging navigation accuracy. The UAV must maintain separation from traffic and dynamic obstacles while flying in a coordinated swarm of three with role-based coordination. A runway is required for operations, and the flight profile includes transitions between VTOL and forward flight. Communication dropouts occur briefly at two intervals, requiring resilient control. The mission emphasizes maintaining safe separation, avoiding geofence violations, and completing the route within the time budget. Battery endurance and environmental hazards are key constraints throughout the flight.",Fixed-wing with high endurance but no VTOL capability,Quadcopter with VTOL but limited range and speed,Convertiplane with dual-mode flight and GNSS resilience,Helicopter UAV with high payload but poor wind resistance,"Glider UAV relying on thermals, no propulsion backup",Ornithopter with low noise but insufficient sensor capacity,Jet-powered UAV requiring runway and exceeding altitude limits,"[""Fixed-wing with high endurance but no VTOL capability"", ""Quadcopter with VTOL but limited range and speed"", ""Convertiplane with dual-mode flight and GNSS resilience"", ""Helicopter UAV with high payload but poor wind resistance"", ""Glider UAV relying on thermals, no propulsion backup"", ""Ornithopter with low noise but insufficient sensor capacity"", ""Jet-powered UAV requiring runway and exceeding altitude limits""]","The convertiplane supports VTOL and efficient forward flight, critical for the mission profile. It operates within altitude constraints and handles communication dropouts with resilient control. Other options fail in transition capability, endurance, or environmental adaptability." 2025-11-01T17:53:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_at_Bridge_Site_under_Low_Visibility_521648b675ee_mcq.json,uavbench-mcq-v1,Convoy_Escort_at_Bridge_Site_under_Low_Visibility,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 60s icing, 15s comms outages, and 8 m/s winds, which strategy maximizes endurance while maintaining escort coverage?","Fixed-wing UAV conducts convoy escort mission along a bridge site corridor under poor visibility and icing conditions. Operating altitude ranges from 30 to 200 meters AGL within a defined polygonal airspace boundary. Weather includes strong westerly winds up to 8 m/s, gusts of 4 m/s, and a wind gradient increasing with altitude. The UAV is equipped with a full sensor suite including GNSS, radar, LiDAR, RGB and thermal cameras. A dynamic no-fly zone moves westward, requiring real-time path adjustments to maintain separation. GNSS signals are degraded due to multipath effects and moderate jamming at -95 dBm. Electromagnetic interference and periodic comms outages of up to 15 seconds challenge data links. The mission requires runway-aligned takeoff and landing, with a preferred runway at one end of the corridor. An icing event occurs mid-mission, reducing aerodynamic efficiency for 60 seconds. Thermal updrafts near the bridge support lift, but stall risk remains during low-speed escort maneuvers.",Ascend to 200 m for stronger GNSS and wind stability,Descend to 30 m to use ground effect and reduce drag,Disable LiDAR and thermal to save 40W during icing,Circle upwind of convoy using full sensor suite continuously,Increase speed by 15% to minimize exposure to gusts,Hover near bridge for thermal updrafts using electric lift,Transmit full HD video at 20 Mbps during comms windows,"[""Ascend to 200 m for stronger GNSS and wind stability"", ""Descend to 30 m to use ground effect and reduce drag"", ""Disable LiDAR and thermal to save 40W during icing"", ""Circle upwind of convoy using full sensor suite continuously"", ""Increase speed by 15% to minimize exposure to gusts"", ""Hover near bridge for thermal updrafts using electric lift"", ""Transmit full HD video at 20 Mbps during comms windows""]","Disabling non-critical sensors during icing reduces power draw, preserving battery for essential flight controls and communication. It balances sensor utility and energy conservation, extending endurance without compromising mission-critical awareness. Other options increase energy use or expose the UAV to greater aerodynamic or operational risk." 2025-11-01T17:53:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_at_Airport_Perimeter_under_Strong_Crosswind_047f52ac06b7_mcq.json,uavbench-mcq-v1,Convoy_Escort_at_Airport_Perimeter_under_Strong_Crosswind,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,"Which UAV system best balances wind resistance, GNSS resilience, and obstacle avoidance at 12–18 m/s crosswinds and -75 dBm jamming?","This is a fixed-wing UAV convoy escort mission operating near an airport perimeter. The UAV flies within a defined corridor between 30 and 150 meters AGL, avoiding a central cylindrical no-fly zone. Strong crosswinds of 12 m/s from the west increase with altitude, reaching 18 m/s at 100 meters, with gusts up to 4.5 m/s. The aircraft is equipped with radar, RGB and thermal cameras, and relies on GNSS/IMU navigation, though it faces GNSS multipath and moderate jamming at -75 dBm. Electromagnetic interference and wind shear add complexity to flight control and sensor performance. The mission requires maintaining proximity to a moving convoy along four waypoints within a 600-second time limit. The UAV must avoid a single intruder UAV and a moving spherical obstacle traveling westward at 5 m/s. Separation monitoring is active with a 50-meter threshold and 30-second time-to-close alerting. The UAV must also plan for runway-aligned landing while adhering to strict geofence and altitude constraints.",High-wing with GNSS-only navigation and no redundancy,Fixed-wing with mechanical gust alleviation and basic IMU,Hybrid-electric with dual GNSS antennas and radar altimeter,Foam-bodied UAV with lightweight sensors and no thermal,Quadplane with VTOL capability and high power consumption,Low-drag UAV with optical flow and no radar backup,Mid-wing UAV with sensor fusion and adaptive flight control,"[""High-wing with GNSS-only navigation and no redundancy"", ""Fixed-wing with mechanical gust alleviation and basic IMU"", ""Hybrid-electric with dual GNSS antennas and radar altimeter"", ""Foam-bodied UAV with lightweight sensors and no thermal"", ""Quadplane with VTOL capability and high power consumption"", ""Low-drag UAV with optical flow and no radar backup"", ""Mid-wing UAV with sensor fusion and adaptive flight control""]","System G integrates sensor fusion to mitigate GNSS jamming and multipath, while adaptive control compensates for wind shear and gusts. It maintains obstacle awareness via radar and thermal inputs within strict altitude and geofence limits. Other systems lack either resilience to interference, sufficient flight control authority, or redundant sensing for reliable convoy proximity in dynamic conditions." 2025-11-01T17:53:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_at_Industrial_Plant_with_Lightning_Risk_2c7ff08273b9_mcq.json,uavbench-mcq-v1,Convoy_Escort_at_Industrial_Plant_with_Lightning_Risk,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 320 seconds, GNSS fails and a cross-path UAV approaches at 12 m/s within 80 meters. What is the immediate action?","This mission involves a convoy escort operation within an industrial plant using a convertiplane UAV equipped with RGB and thermal cameras, LiDAR, and radar. The airspace is constrained between 5 and 120 meters AGL, with a static no-fly zone around a critical facility and a moving no-fly zone due to dynamic obstacles. Weather conditions include moderate wind at 8 m/s from 240°, increasing with altitude, and a risk of lightning, requiring careful risk management. The UAV operates as part of a three-drone swarm, maintaining a minimum 20-meter separation between units, with roles assigned for leadership, scouting, and following. GNSS signals are degraded due to multipath effects and electromagnetic interference, with a simulated GNSS jamming event occurring at 320 seconds. Communication links experience two brief outages, and signal strength is weak, impacting downlink reliability. The flight path follows a predefined corridor with loitering capability, requiring precision navigation near thermal updrafts and a moving spherical obstacle. The UAV must avoid collisions with static infrastructure, a moving obstacle, and another UAV traveling cross-path at 12 m/s. Despite these challenges, the mission must conclude within 600 seconds, with safe landing prioritized at designated sites while adhering to runway approach requirements.",Continue mission; assume other UAV yields,Descend rapidly below 5 meters to avoid collision,Execute emergency loiter at current position,Ascend above 120 meters to clear conflict,Break formation and evade laterally,Abort mission and land at nearest site,Switch to LiDAR-aided navigation and adjust path,"[""Continue mission; assume other UAV yields"", ""Descend rapidly below 5 meters to avoid collision"", ""Execute emergency loiter at current position"", ""Ascend above 120 meters to clear conflict"", ""Break formation and evade laterally"", ""Abort mission and land at nearest site"", ""Switch to LiDAR-aided navigation and adjust path""]","GNSS failure and proximity to another UAV at high closure speed demand resilient navigation and collision avoidance. Option G maintains airspace rules, uses available sensors, and prioritizes safety without abandoning the mission prematurely. Other options violate altitude limits, increase risk, or neglect operational continuity under degraded conditions." 2025-11-01T17:53:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_in_Dense_Urban_with_Rain_e0f64f39a745_mcq.json,uavbench-mcq-v1,Convoy_Escort_in_Dense_Urban_with_Rain,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,A UAV must reroute at 120m AGL around a dynamic obstacle moving at 15 km/h while maintaining 50m separation in 8 m/s winds.,"This scenario involves a convoy escort mission in a dense urban environment. The UAV operates within a defined airspace bounded by a geofence and multiple no-fly zones, including a dynamic obstacle. Weather conditions include rain, poor visibility, moderate winds up to 8 m/s, gusts, and icing risk. A fixed-wing glider UAV with a battery-powered propulsion system carries an RGB camera payload for visual monitoring. The UAV must maintain separation from traffic and other swarm members while navigating GNSS multipath effects and electromagnetic interference. The mission requires adherence to altitude limits, avoidance of static and moving obstacles, and compliance with separation thresholds for detect-and-avoid systems. The UAV swarm consists of three units with distinct roles: leader, follower, and scout. Communication experiences brief downlink/uplink loss windows, and an icing fault occurs mid-mission, affecting performance. The operation concludes with a runway landing requirement and designated emergency landing sites.","Climb to 150m AGL, circle obstacle clockwise maintaining GNSS lock","Descend to 90m AGL, fly direct path through urban canyon with multipath risk","Hold position at 120m AGL until obstacle passes, risking mission timeline","Turn left with 30° bank, track parallel 40m from obstacle edge","Increase speed to 22 m/s, cut inside 45m radius turn to regain time","Shift 60m right, fly curved path at 120m AGL respecting separation minima","Descend to 80m AGL and proceed straight, minimizing exposure to gusts","[""Climb to 150m AGL, circle obstacle clockwise maintaining GNSS lock"", ""Descend to 90m AGL, fly direct path through urban canyon with multipath risk"", ""Hold position at 120m AGL until obstacle passes, risking mission timeline"", ""Turn left with 30° bank, track parallel 40m from obstacle edge"", ""Increase speed to 22 m/s, cut inside 45m radius turn to regain time"", ""Shift 60m right, fly curved path at 120m AGL respecting separation minima"", ""Descend to 80m AGL and proceed straight, minimizing exposure to gusts""]","Option F maintains the required 50m separation while preserving 120m AGL altitude and avoiding GNSS-denied canyons. It balances wind effects and turn radius without delaying time-to-go. Other options violate separation, altitude, or multipath constraints." 2025-11-01T17:53:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_in_Forest_with_Thermal_Updrafts_ae3b667e2943_mcq.json,uavbench-mcq-v1,Convoy_Escort_in_Forest_with_Thermal_Updrafts,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,E,False,"With GNSS jammed at -95 dBm and 6 m/s winds, which navigation mode ensures geofence compliance within 150 m AGL?","This is a convoy escort mission conducted in a forested airspace. The UAV operates within a defined rectangular geofence with altitude limits between 10 and 150 meters AGL. Weather includes moderate wind from 240 degrees at 6 m/s, gusts up to 3.5 m/s, good visibility, and the presence of thermal updrafts. The UAV is a single-rotor helicopter weighing 18.5 kg, powered by a 1200 Wh battery, carrying a 2 kg payload with RGB and thermal cameras, LiDAR, and standard navigation sensors. Notable constraints include a static no-fly zone near the start area and a moving no-fly cylinder that drifts across the flight path. GNSS signals are degraded due to multipath effects and electromagnetic interference, with a jamming level at -95 dBm. The helicopter must avoid collisions with a moving spherical obstacle and another UAV on a crossing trajectory. Communication links experience a brief loss window between 120 and 135 seconds with minimum RSSI at -87 dBm. Flight performance is monitored for battery reserve, NFZ proximity, separation from traffic, DAA triggers, and mission success. The UAV must complete the waypoint corridor within 600 seconds while maintaining safe separation and returning to a preferred or emergency landing site.",Use GNSS-only with Kalman smoothing,Switch to IMU-GPS fused dead reckoning,Rely solely on LiDAR SLAM in forest,Prioritize magnetometer heading updates,Fuse visual odometry with LiDAR and IMU,Navigate via thermal camera landmark tracking,Depend on pre-mapped GPS waypoints,"[""Use GNSS-only with Kalman smoothing"", ""Switch to IMU-GPS fused dead reckoning"", ""Rely solely on LiDAR SLAM in forest"", ""Prioritize magnetometer heading updates"", ""Fuse visual odometry with LiDAR and IMU"", ""Navigate via thermal camera landmark tracking"", ""Depend on pre-mapped GPS waypoints""]","Visual odometry and LiDAR compensate for GNSS degradation and multipath in forested areas, while IMU bridges short outages. Fusion reduces drift under 6 m/s wind disturbances. This maintains geofence and altitude constraints with highest integrity." 2025-11-01T17:53:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_in_Rural_Area_under_Rain_ba56fa12944f_mcq.json,uavbench-mcq-v1,Convoy_Escort_in_Rural_Area_under_Rain,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 180 seconds, UAV-2 experiences icing; GNSS degrades with jamming. How should the swarm respond to maintain integrity and separation?","This is a search and rescue mission conducted by a swarm of three hexacopters in a rural area under rainy and poor visibility conditions with icing risks. The UAVs operate within a defined polygonal airspace between 30 and 150 meters AGL, avoiding static and moving no-fly zones. Weather includes moderate wind up to 9.5 m/s increasing with altitude, rain, and potential icing that impacts performance. Each UAV is equipped with GNSS, IMU, lidar, and RGB camera, but faces GNSS multipath, jamming, and electromagnetic interference. The hexacopters carry a 0.8 kg payload and rely on battery power with a 30% reserve requirement, limiting flight time. The swarm must follow a corridor pattern through waypoints while maintaining at least 20 meters inter-UAV separation and avoiding a dynamic obstacle moving west-southwest. A separate UAV traffic agent moves through the airspace on a fixed trajectory, requiring detect-and-avoid compliance with a 25-meter separation threshold. Communication experiences brief downlink outages, and GNSS reliability is degraded, increasing navigation challenges. One UAV will experience a moderate icing event at 180 seconds, reducing efficiency for one minute. The mission emphasizes battery management, fault resilience, and safe navigation in adverse weather and constrained airspace.",Switch to lidar-aided INS and encrypted peer-to-peer ranging,Increase GNSS weighting to stabilize position estimates,Broadcast unencrypted position updates to reduce latency,Disable IMU feedback to prevent control oscillations,Rely solely on RGB optical flow for navigation,Ascend to 200 m AGL for clearer GNSS signals,Halt all motion until GNSS signal fully recovers,"[""Switch to lidar-aided INS and encrypted peer-to-peer ranging"", ""Increase GNSS weighting to stabilize position estimates"", ""Broadcast unencrypted position updates to reduce latency"", ""Disable IMU feedback to prevent control oscillations"", ""Rely solely on RGB optical flow for navigation"", ""Ascend to 200 m AGL for clearer GNSS signals"", ""Halt all motion until GNSS signal fully recovers""]","A maintains navigation integrity using sensor diversity and secure inter-UAV ranging during GNSS jamming. It preserves control stability and separation through encrypted, resilient state estimation. Other options increase spoofing risk, violate altitude constraints, or disrupt mission continuity." 2025-11-01T17:53:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_in_Rural_Area_with_Hot_Temperature_Extremes_c68512fbd486_mcq.json,uavbench-mcq-v1,Convoy_Escort_in_Rural_Area_with_Hot_Temperature_Extremes,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"An octocopter with 720 Wh battery, 30% reserve, and 1.2 kg payload faces 6 m/s wind at 240°; what flight strategy maximizes mission success?","This is a delivery mission using an octocopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs in a rural airspace with a defined rectangular geofence and two no-fly zones—one static and one moving cylinder. The UAV must follow a corridor pattern through five waypoints while maintaining altitude between 30 and 120 meters AGL. Weather includes moderate wind from 240 degrees at 6 m/s with gusts up to 4 m/s and hot temperature extremes affecting performance. A second UAV and a moving spherical obstacle travel through the airspace, requiring dynamic separation. The UAV has a 720 Wh battery with a 30% reserve requirement and carries a 1.2 kg payload. Communication experiences two brief downlink loss windows during the mission. GNSS signals may suffer multipath near obstacles, and the UAV must avoid both static and dynamic no-fly zones. Flight time is constrained to 600 seconds, with a preferred return-to-home landing at the start point. The scenario emphasizes battery management, obstacle avoidance, and adherence to separation and geofence constraints.",Climb to 120 m to reduce ground obstacle conflicts,Descend to 30 m to minimize wind exposure and drag,Maintain 80 m altitude and reduce speed to 8 m/s,Accelerate to 15 m/s to minimize time in wind,Fly direct paths between waypoints ignoring corridor,Ascend during downlink loss to improve signal,Hover for 30 seconds to reassess near no-fly zone,"[""Climb to 120 m to reduce ground obstacle conflicts"", ""Descend to 30 m to minimize wind exposure and drag"", ""Maintain 80 m altitude and reduce speed to 8 m/s"", ""Accelerate to 15 m/s to minimize time in wind"", ""Fly direct paths between waypoints ignoring corridor"", ""Ascend during downlink loss to improve signal"", ""Hover for 30 seconds to reassess near no-fly zone""]","Maintaining 80 m balances aerodynamic stability, obstacle clearance, and energy efficiency under wind gusts. Reducing speed to 8 m/s conserves power while ensuring navigation accuracy and safe separation from dynamic obstacles. This choice satisfies battery, safety, and geofence constraints without risking communication or thermal stress." 2025-11-01T17:53:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_in_Rural_Cold_Environment_2b6debc9911e_mcq.json,uavbench-mcq-v1,Convoy_Escort_in_Rural_Cold_Environment,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,"During icing, UAV must reroute westward avoiding dynamic NFZ while maintaining 20m separation and 10–150m AGL in mild GNSS jamming.","Heavy-lift UAV conducts convoy escort mission in rural airspace with good visibility but icing conditions. Operating in cold environment with moderate crosswinds increasing with altitude and wind direction shifts. UAV equipped with RGB and thermal cameras, LiDAR, radar, and full suite of navigation sensors. Mission involves three UAVs in swarm formation with leader, follower, and relay roles maintaining 20m minimum separation. Flight confined between 10m and 150m AGL within polygonal geofence, avoiding static and moving no-fly zones. Dynamic NFZ moves westward, simulating hazardous or restricted area during mission. Convoy route follows a corridor pattern with loitering capability near waypoints within 50m radius. GNSS signals experience mild jamming and EM interference, increasing navigation risk. Icing event occurs mid-mission, degrading aerodynamic performance for one minute. Landing requires runway approach from south with preferred and emergency landing sites designated.",Climb to 180m AGL to gain clearance over NFZ edge,Descend to 8m AGL to minimize wind exposure,"Turn north immediately, parallel to convoy path","Execute 30° right turn, adjust formation spacing to 15m",Hold position at current waypoint with loiter radius 60m,Proceed southwest maintaining 110m AGL and 25m separation,Switch to thermal-only navigation to reduce sensor load,"[""Climb to 180m AGL to gain clearance over NFZ edge"", ""Descend to 8m AGL to minimize wind exposure"", ""Turn north immediately, parallel to convoy path"", ""Execute 30° right turn, adjust formation spacing to 15m"", ""Hold position at current waypoint with loiter radius 60m"", ""Proceed southwest maintaining 110m AGL and 25m separation"", ""Switch to thermal-only navigation to reduce sensor load""]","Option F maintains safe AGL band, avoids NFZ encroachment, and preserves swarm separation under GNSS uncertainty. It balances crosswind effects and sensor reliability while optimizing trajectory toward the corridor. Other choices violate minimum separation, altitude limits, loiter radius, or increase exposure to restricted zones." 2025-11-01T17:53:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_in_Rural_Area_with_Lightning_Risk_3a03c98321d8_mcq.json,uavbench-mcq-v1,Convoy_Escort_in_Rural_Area_with_Lightning_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"With 20m separation and GNSS jamming, how should the swarm reconfigure if the leader loses navigation at 450s?","This is a convoy escort mission in a rural airspace with moderate wind from 240 degrees and a lightning risk. The UAV is an octocopter equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates within a defined corridor between 20 and 120 meters AGL, avoiding static and moving no-fly zones. A dynamic no-fly zone drifts across the area, requiring real-time path adjustments. The swarm consists of three UAVs maintaining minimum 20-meter separation, with roles including leader, follower, and relay. GNSS jamming and a motor failure are introduced as faults, alongside communication loss windows. The mission must be completed within 600 seconds, navigating around a moving obstacle and conflicting traffic. Lightning risk and GNSS multipath in the rural terrain add operational constraints. Battery endurance is critical, with a reserve fraction of 30% enforced. The UAV must reach the preferred landing site at (700, 900) while avoiding geofence and separation breaches.",Follower takes over leadership immediately,All UAVs land at nearest safe site,Relay UAV moves ahead to restore comms,Follower increases altitude to scan obstacle,Leader descends rapidly to avoid collision,Swarm switches to LiDAR-only formation keeping,Relay assumes leader role without repositioning,"[""Follower takes over leadership immediately"", ""All UAVs land at nearest safe site"", ""Relay UAV moves ahead to restore comms"", ""Follower increases altitude to scan obstacle"", ""Leader descends rapidly to avoid collision"", ""Swarm switches to LiDAR-only formation keeping"", ""Relay assumes leader role without repositioning""]",Relay moving ahead restores line-of-sight communication and maintains swarm cohesion. It preserves role continuity while compensating for GNSS jamming. This ensures the leader's fault does not break coordination or timing. 2025-11-01T17:53:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_in_Rural_Icing_Conditions_baff51bf8eea_mcq.json,uavbench-mcq-v1,Convoy_Escort_in_Rural_Icing_Conditions,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,E,False,"At 2,000 m AGL, 15 m/s wind from 290°, and active icing, what adjustment maintains lift without exceeding stall AoA?","High-altitude pseudo-satellite UAV conducts convoy escort mission in rural airspace. Operating between 1,000 and 3,000 meters AGL within a defined polygon geofence. Equipped with radar, RGB, and thermal cameras for surveillance and navigation. Faces persistent icing conditions and an active icing event at 200 seconds into the mission. Wind increases with altitude, reaching 15 m/s from 290° at 2,000 meters. No-fly zones include a static cylinder at (2500,2500) and a moving cylinder drifting east. Dynamic obstacle moves through the flight path at mid-altitude near thermal updrafts. Mission requires runway-aligned takeoff and landing with VTOL-to-fixed-wing transitions. GNSS signal is clear but electromagnetic interference affects communications. Traffic includes one conflicting UAV and periodic comms loss windows during flight.",Increase angle of attack to 18° and reduce airspeed to 16 m/s,Deploy full flaps and maintain 20° AoA for maximum lift,Reduce throttle and bank 30° into the wind,Decrease angle of attack to 5° and increase thrust by 25%,Extend leading-edge slats and increase airspeed to 24 m/s,Pitch up rapidly to 25° while holding current power,Hold level flight at 15 m/s with 10° AoA and no configuration change,"[""Increase angle of attack to 18° and reduce airspeed to 16 m/s"", ""Deploy full flaps and maintain 20° AoA for maximum lift"", ""Reduce throttle and bank 30° into the wind"", ""Decrease angle of attack to 5° and increase thrust by 25%"", ""Extend leading-edge slats and increase airspeed to 24 m/s"", ""Pitch up rapidly to 25° while holding current power"", ""Hold level flight at 15 m/s with 10° AoA and no configuration change""]","Icing increases wing roughness, raising stall AoA and reducing lift coefficient. Increasing airspeed to 24 m/s boosts dynamic pressure while slats delay flow separation, maintaining lift within safe AoA. Other options exceed critical AoA or reduce Reynolds number, risking stall or increasing drag." 2025-11-01T17:53:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_in_Suburban_Area_under_Hot_Temperature_Extremes_6b0e75d57d66_mcq.json,uavbench-mcq-v1,Convoy_Escort_in_Suburban_Area_under_Hot_Temperature_Extremes,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 140 m AGL, winds 12 m/s, convoy enters moving NFZ—what action maintains separation, avoids NFZ, and preserves battery?","This scenario involves a convoy escort mission using a convertiplane UAV in a suburban airspace. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, relying solely on battery power. Operations occur under challenging weather including hail, strong winds up to 12 m/s, and thermal updrafts. The flight envelope is constrained between 30 m and 150 m AGL within a defined polygonal geofence. A static no-fly zone and a moving no-fly zone complicate routing, requiring dynamic avoidance. The mission features a three-UAV swarm with leader, follower, and relay roles, maintaining minimum 25 m separation. GNSS multipath effects, electromagnetic interference, and a planned 45-second GNSS jamming event challenge navigation reliability. Uplink and downlink experience two 30-second communication loss windows, testing autonomy resilience. The UAV must follow a corridor pattern, escort a moving target, and land at a designated runway. Battery endurance, fault tolerance, and maintaining separation from traffic and obstacles are critical success factors.","Descend to 40 m AGL, continue escort within corridor","Climb to 150 m AGL, overfly moving NFZ directly","Divert east, fly at 130 m AGL outside geofence","Descend to 30 m AGL, accelerate to bypass NFZ",Hold position at 140 m AGL until NFZ clears,"Break formation, land immediately at nearest zone","Descend to 50 m AGL, divert around NFZ, rejoin convoy","[""Descend to 40 m AGL, continue escort within corridor"", ""Climb to 150 m AGL, overfly moving NFZ directly"", ""Divert east, fly at 130 m AGL outside geofence"", ""Descend to 30 m AGL, accelerate to bypass NFZ"", ""Hold position at 140 m AGL until NFZ clears"", ""Break formation, land immediately at nearest zone"", ""Descend to 50 m AGL, divert around NFZ, rejoin convoy""]","Option G stays within 30–150 m AGL, avoids the moving NFZ, and maintains separation while conserving battery. Descending reduces wind exposure and thermal updraft effects, and lateral diversion avoids jamming-prone corridors. Other options violate geofence, endurance, or separation, or risk GNSS multipath at low altitude." 2025-11-01T17:53:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_in_Suburban_Area_with_Hot_Temperature_Extremes_ca97ce9ae4b7_mcq.json,uavbench-mcq-v1,Convoy_Escort_in_Suburban_Area_with_Hot_Temperature_Extremes,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,G,False,"Given 6 m/s winds, GNSS multipath, and 30% battery reserve, which action ensures secure, stable flight during corridor survey?","This is a UAV convoy escort mission in a suburban environment. The quadrotor operates within a defined polygonal airspace between 10 and 120 meters AGL. High temperatures cause heat haze, and moderate winds at 6 m/s from 135° with gusts up to 3.5 m/s affect flight stability. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, powered by a 450 Wh battery. GNSS multipath and electromagnetic interference challenge positioning accuracy. A static no-fly zone and a moving no-fly cylinder restrict flight paths. The mission follows a corridor survey pattern with four waypoints and a 600-second time limit. Another UAV and a moving spherical obstacle travel through the airspace, requiring separation management. The UAV must maintain at least 25 meters separation and 15 seconds time-to-collision threshold. Battery reserve is set to 30%, and safe landing zones are designated at the start and opposite corner.",Use encrypted datalinks with authenticated commands,Rely solely on GNSS for positioning in multipath zones,Disable telemetry encryption to reduce communication latency,Fly shortest path ignoring dynamic obstacle proximity,Transmit unverified control packets to maintain responsiveness,Descend below 10 m AGL to avoid wind gust effects,Switch to LiDAR-aided inertial navigation upon GNSS anomaly,"[""Use encrypted datalinks with authenticated commands"", ""Rely solely on GNSS for positioning in multipath zones"", ""Disable telemetry encryption to reduce communication latency"", ""Fly shortest path ignoring dynamic obstacle proximity"", ""Transmit unverified control packets to maintain responsiveness"", ""Descend below 10 m AGL to avoid wind gust effects"", ""Switch to LiDAR-aided inertial navigation upon GNSS anomaly""]",GNSS anomalies from multipath or spoofing require resilient navigation fallback. G maintains control stability and situational awareness using LiDAR-coupled inertial systems. It preserves mission integrity without relying on compromised signals. 2025-11-01T17:53:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_in_Suburban_Dust_Storm_c23d4b9e11ca_mcq.json,uavbench-mcq-v1,Convoy_Escort_in_Suburban_Dust_Storm,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"At 110m AGL, 8 m/s winds from 240°, and dust degrading sensors, which action best ensures swarm coordination and obstacle avoidance?","This mission involves a heavy-lift UAV conducting a convoy escort in a suburban airspace during a dust storm with poor visibility. The UAV operates within a defined 500x500 meter geofenced area, maintaining altitudes between 10 and 120 meters AGL. Strong winds of 8 m/s from 240 degrees, with gusts up to 4.5 m/s, increase flight challenges. The UAV is equipped with a full sensor suite including GNSS, LiDAR, radar, RGB and thermal cameras, supporting navigation and obstacle detection. A cylindrical no-fly zone centered at (250, 250) with a 30-meter radius must be avoided. The mission features a three-UAV swarm with leader, follower, and relay roles, requiring minimum 10-meter inter-UAV separation. A moving spherical obstacle travels diagonally through the flight path, demanding dynamic avoidance. The primary route follows a corridor pattern with four waypoints, ending near a preferred landing site at (450, 450). GNSS multipath risks and dust-induced sensor degradation are key operational constraints.",Descend to 10m to reduce wind exposure,Climb to 130m for clearer GNSS signal,Halt and hover at current position,Increase speed to bypass moving obstacle,Shift laterally maintaining 120m altitude,Drop below 100m to improve LiDAR accuracy,Relay data via follower to reduce latency,"[""Descend to 10m to reduce wind exposure"", ""Climb to 130m for clearer GNSS signal"", ""Halt and hover at current position"", ""Increase speed to bypass moving obstacle"", ""Shift laterally maintaining 120m altitude"", ""Drop below 100m to improve LiDAR accuracy"", ""Relay data via follower to reduce latency""]","Maintaining 120m altitude ensures clearance above turbulence-prone lower layers and stays within approved ceiling. Lateral shift avoids the moving obstacle while preserving inter-UAV spacing and sensor effectiveness in dust. This balances aerodynamic stability, navigation reliability, and swarm coordination without violating geofence or energy constraints." 2025-11-01T17:53:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_in_Wind_Farm_Under_Icing_Conditions_c8e61547971d_mcq.json,uavbench-mcq-v1,Convoy_Escort_in_Wind_Farm_Under_Icing_Conditions,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,Which UAV configuration optimizes endurance and safety during a 150m AGL wind farm escort with icing and GNSS interference?,"This scenario involves a convoy escort mission using a convertiplane UAV within a wind farm environment. The airspace is constrained between 10 and 150 meters AGL, with a static no-fly zone near the center and a moving no-fly zone drifting westward. Weather conditions include strong winds increasing with altitude, poor visibility, and icing conditions that temporarily reduce UAV performance. The UAV is equipped with a comprehensive sensor suite including GNSS, radar, LiDAR, RGB and thermal cameras, supporting navigation and inspection tasks. Key constraints include GNSS multipath interference, electromagnetic interference, and periodic communication dropouts. The mission requires adherence to strict separation minima from obstacles and other traffic, with a dynamic traffic UAV approaching head-on. The UAV operates as part of a three-vehicle swarm, maintaining minimum inter-vehicle spacing while navigating a predefined corridor. Icing events degrade aerodynamic efficiency for one minute, increasing power demand and risk of stall. Battery endurance is limited, requiring efficient path planning within the time budget, and the UAV must transition between VTOL and fixed-wing modes while respecting runway approach requirements.",Fixed-wing with extended wingspan for efficiency,Quadcopter with redundant motors and battery,Convertiplane with de-icing and LiDAR navigation,Helicopter with thermal camera and radar altimeter,Fixed-wing with GNSS-only navigation and no de-icing,Convertiplane with RGB camera and no radar,Quadcopter with LiDAR but no thermal sensing,"[""Fixed-wing with extended wingspan for efficiency"", ""Quadcopter with redundant motors and battery"", ""Convertiplane with de-icing and LiDAR navigation"", ""Helicopter with thermal camera and radar altimeter"", ""Fixed-wing with GNSS-only navigation and no de-icing"", ""Convertiplane with RGB camera and no radar"", ""Quadcopter with LiDAR but no thermal sensing""]","The convertiplane with de-icing and LiDAR handles mode transitions, icing-induced performance loss, and GNSS-denied navigation. It balances endurance in forward flight with hover capability and maintains obstacle awareness in poor visibility. Other options fail in environmental adaptability, sensor resilience, or energy efficiency under mission constraints." 2025-11-01T17:53:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_under_Fog_at_Bridge_Site_feaecdba962d_mcq.json,uavbench-mcq-v1,Convoy_Escort_under_Fog_at_Bridge_Site,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,D,False,"Given 3.5 m/s gusts, fog, and a planned icing fault, what maximizes escort endurance within 5–150 m AGL and GNSS degradation?","This UAV mission involves a convoy escort and inspection along a corridor near a bridge site using a convertiplane UAV equipped with RGB and thermal cameras, LiDAR, and radar. The airspace is constrained by static and moving no-fly zones, including a dynamic obstacle simulating a moving vehicle. Operations occur under poor visibility due to fog and potential icing conditions, with moderate wind increasing with altitude and gusts up to 3.5 m/s. The convertiplane has vertical takeoff and landing capability with a fixed-wing mode for efficient forward flight, transitioning between flight modes during the mission. GNSS signals are degraded by multipath effects and interference, while electromagnetic noise and periodic comms loss add operational risk. The UAV must maintain minimum separation from other traffic and obstacles, with a swarm of three UAVs coordinating roles as leader, follower, and scout. Flight is restricted between 5 m and 150 m AGL within a defined polygonal geofence, requiring runway-assisted takeoff and landing. A planned icing fault event temporarily reduces performance, testing resilience in adverse weather. Thermal updrafts near the bridge provide potential lift, but stall risk and battery limitations require careful energy management. The mission emphasizes situational awareness, fault tolerance, and safe navigation in a complex, dynamic environment.",Use radar and LiDAR continuously for obstacle detection,Fly fixed-wing mode at 150 m AGL to avoid gusts,Transition to VTOL and hover at 5 m AGL down-corridor,Disable thermal camera to save power during escort,Rely solely on GNSS when comms briefly restore,Circle bridge every 2 min to exploit thermal updrafts,Operate all sensors at full resolution throughout mission,"[""Use radar and LiDAR continuously for obstacle detection"", ""Fly fixed-wing mode at 150 m AGL to avoid gusts"", ""Transition to VTOL and hover at 5 m AGL down-corridor"", ""Disable thermal camera to save power during escort"", ""Rely solely on GNSS when comms briefly restore"", ""Circle bridge every 2 min to exploit thermal updrafts"", ""Operate all sensors at full resolution throughout mission""]","Disabling the thermal camera reduces power draw, preserving battery for critical navigation in GNSS-degraded, icy conditions. Continuous high-power sensor use would deplete energy reserves needed for gust compensation and fault resilience. This trade-off maintains mission safety and endurance without sacrificing essential situational awareness." 2025-11-01T17:53:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Corridor_Follow_Powerline_Swarm_Mission_b76d375b9fd8_mcq.json,uavbench-mcq-v1,Corridor_Follow_Powerline_Swarm_Mission,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,C,False,"During GNSS jamming at 300–345 s, wind gusts reach 4 m/s; what ensures secure, stable corridor navigation?","This is a swarm UAV inspection mission along a powerline corridor. The operation takes place in a defined rectangular airspace with a minimum altitude of 10 meters and a maximum of 100 meters AGL. Weather conditions include strong westerly winds up to 8 m/s, gusts of 4 m/s, and hazardous hail, with wind speed increasing slightly with altitude. The UAVs are battery-powered quadcopters equipped with GNSS, IMU, lidar, and RGB cameras for navigation and inspection. The swarm consists of five drones with distinct roles: leader, two followers, a scout, and a relay, maintaining a minimum separation of 10 meters. Key constraints include a static no-fly zone near the corridor center and a moving no-fly cylinder drifting westward. Additional challenges include GNSS multipath, electromagnetic interference, and a deliberate GNSS jamming event between 300 and 345 seconds. Communication links experience two planned outages coinciding with fault injections. The mission requires precise corridor following under wind disturbances and system faults, including a partial motor failure at 420 seconds. Success depends on maintaining separation, avoiding obstacles and NFZs, and completing the waypoint route within the 600-second time limit.",Disable encryption to reduce comms latency during jamming,Rely solely on GNSS and IMU with no integrity checks,"Authenticate all commands and fuse IMU, lidar, and odometry",Broadcast unencrypted position updates every 5 seconds,Use open WiFi for relay-to-follower synchronization,Trust GPS during jamming; ignore spoofing detection alerts,Switch to visual hold; suspend collision avoidance,"[""Disable encryption to reduce comms latency during jamming"", ""Rely solely on GNSS and IMU with no integrity checks"", ""Authenticate all commands and fuse IMU, lidar, and odometry"", ""Broadcast unencrypted position updates every 5 seconds"", ""Use open WiFi for relay-to-follower synchronization"", ""Trust GPS during jamming; ignore spoofing detection alerts"", ""Switch to visual hold; suspend collision avoidance""]","Authenticated commands and sensor fusion maintain integrity and control stability during GNSS denial. IMU and lidar provide resilient state estimation, ensuring obstacle avoidance and swarm coherence under cyber-physical stress." 2025-11-01T17:53:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_under_Icing_Conditions_at_Bridge_Site_8e3cd38eb5de_mcq.json,uavbench-mcq-v1,Convoy_Escort_under_Icing_Conditions_at_Bridge_Site,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV system best handles 15 m/s winds, 60% performance loss for 2 min, and GNSS degradation during a 10-min escort?","This mission involves a heavy-lift UAV conducting a convoy escort near a bridge site. The airspace is constrained by static and dynamic no-fly zones, including a central cylinder exclusion and a moving restricted zone. Operations occur between 10 and 120 meters AGL within a defined polygon geofence. The UAV is equipped with a full sensor suite, including LiDAR, radar, RGB and thermal cameras, and relies on battery power. Adverse weather includes poor visibility, strong winds up to 15 m/s increasing with altitude, and icing conditions. A scheduled icing event occurs mid-mission, reducing performance by 60% for two minutes. The UAV must maintain separation from a nearby traffic UAV and a moving spherical obstacle. GNSS signals are degraded due to jamming and electromagnetic interference, increasing multipath risk. Command uplink and downlink experience brief outages, challenging communication reliability. The mission must be completed within 10 minutes while avoiding stalls, collisions, and airspace violations.",High-efficiency propellers with minimal redundancy,Lightweight frame with single-sensor navigation,Dual-redundant IMUs with terrain-relative navigation,Solar-assisted power with low wind tolerance,GNSS-dependent guidance with no fallback,Thermal-only detection with slow processing,Single-battery setup with maximum payload,"[""High-efficiency propellers with minimal redundancy"", ""Lightweight frame with single-sensor navigation"", ""Dual-redundant IMUs with terrain-relative navigation"", ""Solar-assisted power with low wind tolerance"", ""GNSS-dependent guidance with no fallback"", ""Thermal-only detection with slow processing"", ""Single-battery setup with maximum payload""]","Dual-redundant IMUs ensure navigation reliability during GNSS outages and jamming. Terrain-relative navigation using LiDAR/radar maintains precision in degraded visibility and multipath. This option balances fault tolerance, environmental adaptability, and mission-critical stability during icing and wind." 2025-11-01T17:53:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Corridor_Follow_at_Airport_Perimeter_in_Hail_cede1efd3c08_mcq.json,uavbench-mcq-v1,Corridor_Follow_at_Airport_Perimeter_in_Hail,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which UAV system best handles hail, icing, wind gusts up to 12 m/s, and communication dropouts while maintaining 60m AGL flight?","This is an inspection mission using a quadrotor UAV equipped with RGB camera, LiDAR, and standard navigation sensors. The flight occurs along a linear corridor near an airport perimeter within a defined polygonal airspace. The UAV must maintain altitude between 30 and 120 meters AGL while avoiding a cylindrical no-fly zone centered at (500, 400) with a 100-meter radius. Strong winds from the west at 8 m/s with gusts up to 4 m/s are present, and weather includes hail, reducing visibility. The UAV spawns at (50, 400, 50) and must follow waypoints along the 60-meter altitude line toward the preferred landing site at (950, 400, 0). A second UAV traffic agent approaches from the south at 12 m/s, requiring separation monitoring with a 25-meter threshold. A moving spherical obstacle drifts southward at 2 m/s near the mission path. An icing event occurs at 200 seconds, degrading performance for one minute, and hail increases GNSS multipath and outage risks. Communication dropouts are expected between 150–160 and 400–415 seconds, challenging telemetry and control. The mission must complete within 600 seconds while avoiding geofence, altitude, and separation violations.",Lightweight carbon frame with minimal redundancy and standard GNSS,Dual GNSS with de-icing rotors and wind-resistant adaptive control,High-efficiency solar wings but limited LiDAR and no gust compensation,"Single processor, no sensor fusion, lowest power consumption","Heavy armor for hail protection, high drag, short endurance","Vision-only navigation, no LiDAR or GNSS backup during outages","Fixed-pitch propellers, low cost, no real-time obstacle avoidance","[""Lightweight carbon frame with minimal redundancy and standard GNSS"", ""Dual GNSS with de-icing rotors and wind-resistant adaptive control"", ""High-efficiency solar wings but limited LiDAR and no gust compensation"", ""Single processor, no sensor fusion, lowest power consumption"", ""Heavy armor for hail protection, high drag, short endurance"", ""Vision-only navigation, no LiDAR or GNSS backup during outages"", ""Fixed-pitch propellers, low cost, no real-time obstacle avoidance""]","System B excels in fault tolerance with dual GNSS and de-icing, critical during icing and multipath events. Its adaptive control handles 12 m/s wind gusts and maintains precise 60m altitude. Other systems fail in sensor resilience, obstacle response, or endurance under environmental stress." 2025-11-01T17:53:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Corridor_Follow_in_Volcanic_Zone_with_Swarm_Drones_9f349b5409eb_mcq.json,uavbench-mcq-v1,Corridor_Follow_in_Volcanic_Zone_with_Swarm_Drones,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"During GNSS jamming and motor failure in high winds, with 8-meter separation, what action prioritizes safety?","Swarm drones conduct a corridor survey mission in a hazardous volcanic zone with poor visibility, hail, and lightning risk. The airspace features strong and increasing winds with altitude, gusts, and thermal updrafts near plumes. UAVs are six-rotor battery-powered swarm drones equipped with GNSS, IMU, LiDAR, RGB and thermal cameras. Payload includes sensors for environmental monitoring with moderate drag. The mission operates within a defined polygonal geofence, avoiding a static no-fly cylinder and a moving dynamic NFZ. GNSS multipath, jamming, and electromagnetic interference challenge navigation reliability. A second UAV and moving spherical obstacles create collision risks requiring DAA compliance. The swarm consists of five drones with role-based coordination and minimum 8-meter separation. Faults include a 30-second GNSS jamming event and a partial motor failure, with communication dropouts affecting uplink and downlink.",Continue mission using IMU and LiDAR for navigation,Ascend to avoid moving spherical obstacles in corridor,E-Immediate swarm descent and landing within geofence,Exit geofence toward dynamic no-fly zone for stability,Maintain altitude to preserve sensor data collection,Increase speed to complete survey before lightning strike,Rely on GNSS despite jamming to hold formation,"[""Continue mission using IMU and LiDAR for navigation"", ""Ascend to avoid moving spherical obstacles in corridor"", ""E-Immediate swarm descent and landing within geofence"", ""Exit geofence toward dynamic no-fly zone for stability"", ""Maintain altitude to preserve sensor data collection"", ""Increase speed to complete survey before lightning strike"", ""Rely on GNSS despite jamming to hold formation""]","Ethical and safety priorities demand aborting flight when navigation and vehicle integrity are compromised. Continuing risks uncontrolled collision or breach of NFZs. Immediate descent within the geofence minimizes harm to people, environment, and airspace safety." 2025-11-01T17:53:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Corridor_Follow_in_Suburban_Hail_with_Glider_36b83c8b592c_mcq.json,uavbench-mcq-v1,Corridor_Follow_in_Suburban_Hail_with_Glider,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"Glider UAV in hail, 30–150m AGL, GNSS degraded, 30% battery: which fusion strategy sustains navigation during 1-min icing event?","This scenario involves a glider UAV conducting a corridor survey mission in suburban airspace. The flight occurs within a defined rectangular geofence, with minimum and maximum altitudes of 30 and 150 meters AGL. Weather conditions include strong westerly winds, gusts, poor visibility, and active hail, increasing flight risk. The glider is equipped with standard navigation sensors and an RGB camera payload but has no radar or lidar. Key constraints include two no-fly zones, one static and one dynamic moving east to west, requiring real-time avoidance. GNSS signals are degraded due to multipath and electromagnetic interference, with brief comms outages expected. A traffic UAV and a moving spherical obstacle add complexity, requiring collision avoidance within a 25-meter separation threshold. The mission includes an icing event lasting one minute, which impacts aerodynamic performance. Thermal updrafts are present and can be exploited for lift to conserve battery. Battery reserve is set to 30%, and successful mission completion depends on energy management, obstacle avoidance, and adherence to airspace limits.",Prioritize GNSS despite multipath; correct drift post-icing,Switch to IMU-only; disable visual updates during hail,Fuse camera with magnetometer to replace lost GNSS,Use visual-inertial odometry with RGB flow for lift zones,Rely on wind speed estimates to infer position drift,Lock altitude via barometer during GNSS outages,Align path using dynamic no-fly zone as visual reference,"[""Prioritize GNSS despite multipath; correct drift post-icing"", ""Switch to IMU-only; disable visual updates during hail"", ""Fuse camera with magnetometer to replace lost GNSS"", ""Use visual-inertial odometry with RGB flow for lift zones"", ""Rely on wind speed estimates to infer position drift"", ""Lock altitude via barometer during GNSS outages"", ""Align path using dynamic no-fly zone as visual reference""]","Visual-inertial odometry compensates for GNSS degradation by fusing camera data with IMU, leveraging optical flow from RGB in thermal updrafts. It maintains position accuracy during icing and comms outages while supporting energy-aware routing. Other options either trust compromised sensors or misinterpret environmental cues." 2025-11-01T17:53:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/DesertHeavyLiftMapping_ff8865fd4a1d_mcq.json,uavbench-mcq-v1,DesertHeavyLiftMapping,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 200 m AGL with 8 m/s winds and intermittent comms, how should the UAV respond to a GNSS spoofing alert while nearing a moving restricted zone?","This is a heavy-lift UAV mapping mission in a desert environment. The airspace features a fixed polygonal geofence with a static no-fly zone and a moving restricted zone. A sandstorm is present with strong 8 m/s winds from 240 degrees and gusts up to 4 m/s. The UAV is an octocopter with a 5 kg payload, carrying RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates between 50 m and 450 m AGL, following a grid pattern at 200 m altitude. The mission includes five waypoints covering the area, with a loiter radius of 30 m and a 10-minute time budget. A second UAV and a moving spherical obstacle create dynamic traffic hazards. GNSS multipath may occur due to terrain and weather, and comms experience brief dropouts at specific intervals. Separation minima are enforced with a 50 m threshold and 30 s time-to-closest-approach. The UAV must avoid NFZs, maintain line of sight, and return safely with sufficient battery reserve.",Switch to INS with LIDAR terrain matching and reduce speed by 30%,Continue on current course using last valid GNSS fix,Ascend to 450 m for better satellite visibility and signal strength,Request emergency override from operator via unencrypted telemetry link,Hover and re-authenticate GNSS signals every 5 seconds indefinitely,Disable geofence checks to prioritize mission completion,Transmit full sensor data stream without encryption to confirm position,"[""Switch to INS with LIDAR terrain matching and reduce speed by 30%"", ""Continue on current course using last valid GNSS fix"", ""Ascend to 450 m for better satellite visibility and signal strength"", ""Request emergency override from operator via unencrypted telemetry link"", ""Hover and re-authenticate GNSS signals every 5 seconds indefinitely"", ""Disable geofence checks to prioritize mission completion"", ""Transmit full sensor data stream without encryption to confirm position""]","Switching to INS with LiDAR terrain correlation maintains position integrity during GNSS spoofing while reducing speed improves control margin in high winds. This ensures continued geofence compliance and avoids reliance on compromised or unsecured channels. Other options either propagate spoofed data, introduce communication vulnerabilities, or degrade system availability." 2025-11-01T17:53:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_BVLOS_Amphibious_UAV_Test_with_Thermal_Updrafts_ad69210360b8_mcq.json,uavbench-mcq-v1,Desert_BVLOS_Amphibious_UAV_Test_with_Thermal_Updrafts,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Plan route avoiding dynamic NFZ moving SW at 2.7 m/s, maintain 10–450 m AGL, and account for comms loss at 120–135s.","This is a BVLOS survey mission in a desert environment using an amphibious fixed-wing VTOL UAV equipped with thermal and RGB cameras, LiDAR, and full navigation sensors. The UAV operates within a defined polygonal airspace bounded between 10 and 450 meters AGL, with a primary mission to follow a corridor pattern across five waypoints. Persistent thermal updrafts are present near two plume centers, which can be leveraged for lift but may affect flight stability. Winds are from 240 degrees at 6.5 m/s with gusts up to 3.2 m/s, impacting energy consumption and trajectory control. The UAV must avoid two no-fly zones: one static cylinder near the center of the area and one dynamic cylinder moving southwest at 2.7 m/s. GNSS signals are degraded by multipath effects and moderate jamming at -95 dBm, requiring robust navigation solutions. Electromagnetic interference and periodic comms loss windows between 120–135s and 400–415s challenge data downlink integrity and command reliability. The UAV transitions between hover and forward flight, with 8-second and 10-second transition profiles, and must return to a runway-aligned landing zone within a 600-second time budget. Traffic from another UAV heading southeast at 18 m/s and a moving spherical obstacle near (900, 600) demand real-time detect-and-avoid compliance with 50-meter separation and 30-second TTC thresholds.","Fly direct W1 to W2 at 300 m AGL, ignore thermal updrafts","Climb to 450 m AGL near plume for lift, proceed to W3",Delay W2 approach by 20s to avoid moving NFZ overlap,Descend to 10 m AGL between W3 and W4 to evade jamming,"Reroute NW of dynamic NFZ at 320 m AGL, sync with comms window",Cut through static NFZ center to save 15s on time budget,"Follow corridor at 200 m AGL, adjust heading 15° left at W2","[""Fly direct W1 to W2 at 300 m AGL, ignore thermal updrafts"", ""Climb to 450 m AGL near plume for lift, proceed to W3"", ""Delay W2 approach by 20s to avoid moving NFZ overlap"", ""Descend to 10 m AGL between W3 and W4 to evade jamming"", ""Reroute NW of dynamic NFZ at 320 m AGL, sync with comms window"", ""Cut through static NFZ center to save 15s on time budget"", ""Follow corridor at 200 m AGL, adjust heading 15° left at W2""]","Option E avoids the dynamic no-fly zone while staying within the allowable altitude band and aligns with available communication windows. It accounts for the NFZ's southwest motion and preserves GNSS-reliant navigation during less degraded periods. Other choices either breach NFZs, risk comms loss during critical phases, or fail to adapt to moving obstacles." 2025-11-01T17:53:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Convoy_Escort_in_Dense_Urban_Area_with_Gusts_9a5073089291_mcq.json,uavbench-mcq-v1,Convoy_Escort_in_Dense_Urban_Area_with_Gusts,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 280s, wind 8.5 m/s from 240°, battery at 45%, how should the UAV proceed to waypoint 3 at 120m AGL within 600s?","This scenario involves a convoy escort mission using a hexacopter UAV in a dense urban environment. The operation takes place within a predefined 500m x 500m airspace bounded by static and dynamic no-fly zones, including a central cylinder exclusion and a moving restricted zone. Weather conditions include strong 8.5 m/s winds from 240° with 4.5 m/s gusts, challenging stability and energy use. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors, supporting navigation and obstacle detection. It carries a 0.7 kg payload with moderate drag, impacting flight efficiency. The mission requires the UAV to follow a corridor pattern through four waypoints within a 600-second time limit, maintaining safe separation from obstacles and other traffic. A swarm of three UAVs operates collaboratively with defined roles: leader, follower, and relay, requiring at least 10 meters inter-UAV separation. GNSS multipath effects are expected due to tall urban structures, and RF interference may affect communications near the moving obstacle. The UAV must avoid both static and dynamic no-fly zones while managing battery reserves, with a return to a preferred landing site unless an emergency arises. Performance is evaluated on mission success, collision avoidance, separation breaches, battery usage, and geofence compliance.","Climb to 130m AGL, proceed direct to waypoint 3","Descend to 90m AGL, follow urban canyon to waypoint 3",Hold at current position until wind gusts subside,Divert to alternate landing site due to low battery,Accelerate to 18 m/s to reach waypoint 3 before 600s,Drop payload to reduce drag and increase speed,"Descend to 100m AGL, route east to avoid moving NFZ","[""Climb to 130m AGL, proceed direct to waypoint 3"", ""Descend to 90m AGL, follow urban canyon to waypoint 3"", ""Hold at current position until wind gusts subside"", ""Divert to alternate landing site due to low battery"", ""Accelerate to 18 m/s to reach waypoint 3 before 600s"", ""Drop payload to reduce drag and increase speed"", ""Descend to 100m AGL, route east to avoid moving NFZ""]","Descending to 100m AGL balances wind exposure and obstacle clearance while routing east avoids the moving restricted zone. This path maintains >10m UAV separation, stays within energy limits, and completes the mission before 600s. Other options violate NFZs, risk collision, or unnecessarily compromise mission objectives." 2025-11-01T17:53:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Border_Patrol_with_Icing_Conditions_779b564b6bdb_mcq.json,uavbench-mcq-v1,Desert_Border_Patrol_with_Icing_Conditions,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 200 seconds, icing occurs at 6,000 m with 16 m/s winds; GNSS jamming is -75 dBm. What is the safest immediate action?","High-altitude pseudo-satellite UAV conducts a border surveillance mission in a desert environment. The mission involves a corridor survey pattern between 1,000 and 7,000 meters AGL. Icing conditions are present, with a scheduled icing event at 200 seconds into the flight. The UAV is equipped with radar, RGB, and thermal cameras for payload operations. Wind increases with altitude, reaching 16 m/s from the west at 6,000 meters. A static no-fly zone and a moving restricted zone challenge flight planning. The UAV must maintain separation from another UAV and a moving spherical obstacle. GNSS jamming at -75 dBm and electromagnetic interference affect navigation reliability. The mission requires runway-aligned takeoff and landing, with transition phases between VTOL and forward flight. Battery endurance and fault resilience are critical due to icing and communication loss windows.",Continue survey; rely on thermal camera for obstacle detection,"Descend rapidly below 1,000 m to exit icing and jamming zones","Climb above 7,000 m to avoid icing and improve GNSS signal",Proceed into restricted zone to maintain surveillance coverage,Divert toward populated area to find clearer navigation signals,Maintain altitude and speed; switch to radar-only navigation,Initiate controlled descent and transition to landing at nearest safe zone,"[""Continue survey; rely on thermal camera for obstacle detection"", ""Descend rapidly below 1,000 m to exit icing and jamming zones"", ""Climb above 7,000 m to avoid icing and improve GNSS signal"", ""Proceed into restricted zone to maintain surveillance coverage"", ""Divert toward populated area to find clearer navigation signals"", ""Maintain altitude and speed; switch to radar-only navigation"", ""Initiate controlled descent and transition to landing at nearest safe zone""]","Icing at 200 seconds combined with GNSS jamming and high winds creates a critical fault-resilience hazard. Continuing or escalating flight risks loss of control over a desert border area, potentially violating airspace laws and endangering ground civilians unpredictably. G prioritizes safety-of-life, complies with emergency hierarchy, and minimizes risk by executing a controlled landing within operational limits." 2025-11-01T17:53:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Bridge_Inspection_with_Glider_312caa2e61ce_mcq.json,uavbench-mcq-v1,Desert_Bridge_Inspection_with_Glider,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,Glider UAV at 200 m AGL in 12 m/s wind must minimize energy use while avoiding a moving obstacle and no-fly zone up to 80 m.,"This scenario involves a glider UAV conducting a bridge inspection mission in a desert environment. The mission takes place within a defined rectangular airspace with a maximum altitude of 300 meters AGL. Winds are moderate to strong, increasing with altitude up to 15 m/s, with a dust storm reducing visibility. The UAV is equipped with RGB and thermal cameras for inspection, powered by a battery with a 450 Wh capacity. A no-fly zone cylinder restricts flight around a critical structure at 10–80 meters altitude. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV on a crossing path. GNSS signals are degraded due to multipath and mild jamming, with brief communication dropouts expected. Thermal updrafts are present, which the glider may exploit for energy. The mission requires a runway for landing and must be completed within 600 seconds.",Increase angle of attack to maximize lift coefficient near stall,Descend into stronger headwinds to exploit ground effect,Climb using thermal updrafts to gain potential energy silently,Fly at maximum airspeed to reduce exposure time in dust storm,"Turn sharply to avoid obstacle, increasing load factor abruptly",Circle at low altitude to wait for GNSS signal recovery,Glide at best L/D ratio with wind correction angle for drift,"[""Increase angle of attack to maximize lift coefficient near stall"", ""Descend into stronger headwinds to exploit ground effect"", ""Climb using thermal updrafts to gain potential energy silently"", ""Fly at maximum airspeed to reduce exposure time in dust storm"", ""Turn sharply to avoid obstacle, increasing load factor abruptly"", ""Circle at low altitude to wait for GNSS signal recovery"", ""Glide at best L/D ratio with wind correction angle for drift""]","Flying at best lift-to-drag ratio minimizes energy loss and maximizes range, critical for battery-limited endurance. A wind correction angle counters lateral drift from crosswinds, maintaining accurate ground track while preserving aerodynamic efficiency under degraded navigation." 2025-11-01T17:53:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Bridge_Inspection_with_Swarm_Drones_under_Microburst_Risk_42918dbf46ed_mcq.json,uavbench-mcq-v1,Desert_Bridge_Inspection_with_Swarm_Drones_under_Microburst_Risk,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 320s, GNSS fails for 15s amid 8 m/s winds and comms loss; what action maintains safety, navigation, and swarm cohesion?","This mission involves a swarm of five inspection drones conducting a bridge survey in a desert airspace. The drones operate within a defined corridor between 5 and 120 meters AGL, navigating around a central no-fly cylinder near the bridge. Weather includes strong 8 m/s winds from 240° with gusts up to 4.5 m/s and a risk of microbursts, increasing flight hazards. Each drone is equipped with GNSS, IMU, lidar, and RGB cameras for structural inspection and navigation. The swarm must maintain a minimum 8-meter separation and avoid a moving spherical obstacle near the bridge. A concurrent UAV traffic intruder enters from the southeast, adding collision risk. At 320 seconds, a GNSS jamming fault occurs, lasting 15 seconds and coinciding with a comms loss window, challenging navigation resilience. The drones must complete the waypoint corridor within 600 seconds while managing battery reserves and maintaining link quality. Key constraints include geofence adherence, NFZ avoidance, separation monitoring, and operation under degraded GNSS conditions.",Descend to 5m AGL to reduce wind exposure and power use,Climb to 120m AGL for clearer lidar and comms relay,"Hold position using IMU and lidar, reduce speed to stabilize",Accelerate through corridor to exit NFZ before microburst,Circle bridge at 50m AGL to maintain visual coordination,Disperse radially to avoid collision with moving obstacle,"Switch to RGB-optical flow hover, await GNSS recovery","[""Descend to 5m AGL to reduce wind exposure and power use"", ""Climb to 120m AGL for clearer lidar and comms relay"", ""Hold position using IMU and lidar, reduce speed to stabilize"", ""Accelerate through corridor to exit NFZ before microburst"", ""Circle bridge at 50m AGL to maintain visual coordination"", ""Disperse radially to avoid collision with moving obstacle"", ""Switch to RGB-optical flow hover, await GNSS recovery""]","Holding position with IMU and lidar sustains navigation accuracy during GNSS outage while minimizing drift in 8 m/s winds. Reducing speed preserves energy and ensures 8m separation, balancing aerodynamic stability, safety, and swarm coordination within geofence limits." 2025-11-01T17:53:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Bridge_Inspection_with_Swarm_Drones_under_Icing_Conditions_e45fe9440a92_mcq.json,uavbench-mcq-v1,Desert_Bridge_Inspection_with_Swarm_Drones_under_Icing_Conditions,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,Which route avoids the drifting NFZ and maintains 8m separation while compensating for 1-minute icing at 65m AGL?,"This is a multi-drone inspection mission in a desert environment featuring a bridge structure. The swarm consists of five rotorcraft UAVs equipped with RGB cameras, LiDAR, and standard navigation sensors. The drones operate within a defined corridor between 5 and 120 meters AGL, avoiding static and moving no-fly zones, including a dynamic obstacle drifting across the area. The mission is subject to challenging weather, including icing conditions and moderate winds increasing with altitude, blowing from 240 to 260 degrees. GNSS signals are degraded by multipath effects and mild jamming, while electromagnetic interference adds navigation complexity. The UAVs must maintain at least 8 meters separation and avoid a manned aircraft entering the airspace on a collision course. An icing fault event occurs mid-mission, reducing aerodynamic efficiency for one minute and increasing power demands. Communication experiences brief dropouts, requiring resilient data linking and autonomous decision-making. The drones must complete the inspection within 10 minutes while managing battery reserves and safely navigating around obstacles and environmental hazards.","Climb to 110m AGL, circle west, delay waypoint entry by 45s","Descend to 10m AGL, fly direct under obstacle, resume at 70m","Hold position at 65m for 90s, await GNSS stabilization","Shift east 150m, reroute between 50–60m AGL, delay 20s","Accelerate through obstacle zone at 120m AGL, reduce separation to 5m","Descend to 4m AGL, fly perimeter, bypass all waypoints","Proceed at 65m AGL with 10m lateral offset, adjust for wind drift","[""Climb to 110m AGL, circle west, delay waypoint entry by 45s"", ""Descend to 10m AGL, fly direct under obstacle, resume at 70m"", ""Hold position at 65m for 90s, await GNSS stabilization"", ""Shift east 150m, reroute between 50–60m AGL, delay 20s"", ""Accelerate through obstacle zone at 120m AGL, reduce separation to 5m"", ""Descend to 4m AGL, fly perimeter, bypass all waypoints"", ""Proceed at 65m AGL with 10m lateral offset, adjust for wind drift""]","G maintains optimal altitude within the 5–120m AGL corridor, applies lateral offset to avoid the drifting NFZ, and compensates for wind without excessive delay. It preserves separation and battery by avoiding extreme climbs or descents. Other options breach AGL limits, reduce separation, or cause excessive time delays." 2025-11-01T17:53:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Bridge_Inspection_with_VTOL_Tiltrotor_65b4bc376036_mcq.json,uavbench-mcq-v1,Desert_Bridge_Inspection_with_VTOL_Tiltrotor,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 300s, GNSS jamming begins for 45s with 60% packet loss on uplink; what ensures position integrity and control stability?","This scenario involves a VTOL tiltrotor UAV conducting a bridge inspection mission in a desert environment. The mission takes place within a defined rectangular airspace containing a static no-fly zone over the bridge and a moving no-fly zone near the approach path. Weather conditions include moderate winds at ground level, increasing with altitude, wind shear, poor visibility, and active rain with lightning risk. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, but faces GNSS signal jamming and electromagnetic interference. A fault is triggered at 300 seconds with GNSS jamming lasting 45 seconds, followed by a partial motor failure at 420 seconds. Communication experiences two downlink/uplink loss windows, reducing telemetry and control reliability. The UAV must follow a corridor inspection pattern while avoiding collisions with a moving obstacle and an intruder UAV. It must maintain separation of at least 25 meters and respect a 20-second time-to-closest-approach threshold for detect-and-avoid compliance. Constraints include battery reserve requirements, transition times between hover and forward flight, and the need to land on a designated runway. Mission success depends on completing waypoints within time, avoiding NFZ breaches, and maintaining safe flight despite faults and environmental challenges.",Switch to LiDAR-aided INS with authenticated command encryption,Rely on last known GNSS fix until signal returns at 345s,Increase throttle to maintain position using unverified IMU data,Transmit unencrypted telemetry to reduce communication latency,Disable intrusion detection to prioritize control loop frequency,Use open-loop timer-based navigation during jamming window,Hand over control to backup operator via unauthenticated link,"[""Switch to LiDAR-aided INS with authenticated command encryption"", ""Rely on last known GNSS fix until signal returns at 345s"", ""Increase throttle to maintain position using unverified IMU data"", ""Transmit unencrypted telemetry to reduce communication latency"", ""Disable intrusion detection to prioritize control loop frequency"", ""Use open-loop timer-based navigation during jamming window"", ""Hand over control to backup operator via unauthenticated link""]",A maintains position integrity using sensor fusion (LiDAR/INS) and ensures command authenticity under jamming. It preserves control stability and detects spoofing attempts. Other options degrade security or fail to sustain resilient navigation during GNSS denial. 2025-11-01T17:53:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Convoy_Escort_with_Amphibious_UAV_b611d8f5e6fa_mcq.json,uavbench-mcq-v1,Desert_Convoy_Escort_with_Amphibious_UAV,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 30m AGL, 10m/s WNW wind, and 50% battery, how should the UAV respond to a 30s GNSS outage while maintaining 25m separation in sandstorm?","Mission involves convoy escort in a desert environment using an amphibious fixed-wing VTOL UAV equipped with RGB and thermal cameras, LiDAR, and full suite of navigation sensors. The operation takes place in a 3km x 2km geofenced airspace with a static no-fly zone near the center and a moving no-fly cylinder that drifts across the area. Wind increases with altitude from 8 m/s at ground level to 12 m/s at 100m, shifting direction from 240° to 260°, with gusts up to 4 m/s and ongoing sandstorm conditions reducing visibility intermittently. Thermal updrafts are present at two locations, offering potential lift but also turbulence. GNSS suffers from multipath effects, moderate jamming at -95 dBm, and a planned 30-second severe jamming fault, challenging navigation reliability. The UAV must maintain separation from other traffic and a moving spherical obstacle while operating in swarm mode with two other UAVs, requiring minimum 25m inter-vehicle spacing. Flight is constrained between 5m and 150m AGL, with a required runway landing at the northeast threshold after completing the waypoint corridor. Battery capacity is limited to 800Wh with a 30% reserve, demanding efficient energy use amid wind, sand ingestion, and sensor faults including a partial motor failure and brief icing event. Communication experiences two short downlink outages, and the system must uphold DAA thresholds of 25m separation and 20s time-to-closest approach. The mission emphasizes resilience in harsh environmental conditions, dynamic obstacle avoidance, and robust navigation despite degraded GNSS and system faults.",Climb to 100m for stronger GPS signal and stable wind,Descend to 5m AGL to minimize wind impact and power use,Hold position at 30m using LiDAR-aided dead reckoning and reduced speed,Accelerate ahead to exit sandstorm zone before GNSS loss,Circle thermal updraft at 60m to gain lift and conserve energy,Switch to full hover mode using VTOL thrust for precise control,Follow convoy at 40m AGL using inter-UAV relative positioning and sensor fusion,"[""Climb to 100m for stronger GPS signal and stable wind"", ""Descend to 5m AGL to minimize wind impact and power use"", ""Hold position at 30m using LiDAR-aided dead reckoning and reduced speed"", ""Accelerate ahead to exit sandstorm zone before GNSS loss"", ""Circle thermal updraft at 60m to gain lift and conserve energy"", ""Switch to full hover mode using VTOL thrust for precise control"", ""Follow convoy at 40m AGL using inter-UAV relative positioning and sensor fusion""]","G maintains safe altitude above minimum 5m, uses relative navigation to counter GNSS outage, and leverages swarm coordination for DAA compliance. It balances energy by avoiding hover thrust, uses sensor fusion to mitigate sandstorm and multipath, and sustains formation under wind gusts and communication outages. Other options fail due to excessive power, navigation risk, or loss of separation." 2025-11-01T17:53:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Convoy_Escort_with_Swarm_Drones_8c32f7207e88_mcq.json,uavbench-mcq-v1,Desert_Convoy_Escort_with_Swarm_Drones,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"Swarm of four octarotors must maintain 15m separation in 12 m/s winds with GNSS jamming and complete mission within 600 seconds. Which strategy balances safety, coordination, and energy?","Swarm drones conduct a convoy escort mission in a desert environment. The mission occurs in a designated airspace with static and moving no-fly zones. Strong winds up to 12 m/s and frequent dust storms create challenging visibility. Each UAV is an octarotor swarm drone equipped with RGB and thermal cameras, LIDAR, and GNSS. GNSS multipath and intermittent jamming degrade positioning accuracy. A dynamic no-fly zone moves across the area, requiring real-time path adjustments. The swarm of four drones must maintain minimum 15-meter separation during flight. A fault scenario includes GNSS jamming and partial motor failure during the mission. Communication dropouts occur at specific intervals, limiting command uplink reliability. Drones must complete the route within 600 seconds while avoiding obstacles and traffic.",Fly at maximum speed to minimize exposure to wind,Descend to 10m altitude to reduce wind resistance,Increase separation to 25m for collision avoidance,Hover until GNSS signal stabilizes during jamming,Use LIDAR-thermal sensor fusion with dead reckoning,Rely on periodic GNSS pings for coarse positioning,Cluster drones within 5m to improve comms,"[""Fly at maximum speed to minimize exposure to wind"", ""Descend to 10m altitude to reduce wind resistance"", ""Increase separation to 25m for collision avoidance"", ""Hover until GNSS signal stabilizes during jamming"", ""Use LIDAR-thermal sensor fusion with dead reckoning"", ""Rely on periodic GNSS pings for coarse positioning"", ""Cluster drones within 5m to improve comms""]","Sensor fusion compensates for GNSS jamming while maintaining navigation accuracy and swarm coordination. Dead reckoning conserves energy and enables progress despite communication dropouts. This balances aerodynamic stability, path reliability, and safety under dynamic constraints." 2025-11-01T17:53:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Corridor_Follow_with_Amphibious_UAV_61b7b31855c8_mcq.json,uavbench-mcq-v1,Desert_Corridor_Follow_with_Amphibious_UAV,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 100 m AGL, winds are 12 m/s from 260°; UAV must maintain 25 m separation while optimizing airspeed and angle of attack for lift-to-drag ratio.","The mission is an inspection task conducted in a desert corridor environment using an amphibious fixed-wing UAV equipped with a camera and LiDAR payload. The UAV operates within a defined polygonal airspace bounded between 5 and 150 meters AGL, following a pre-planned waypoint corridor. Winds are moderate with increasing speed and shifting direction at higher altitudes, reaching up to 12 m/s from 260 degrees at 100 meters. The environment includes GNSS multipath effects, electromagnetic interference, and a moderate lightning risk, with partial uplink communication loss during two time windows. A static no-fly zone and a moving no-fly cylinder must be avoided, along with a dynamic spherical obstacle and another UAV traveling westbound. The UAV must maintain a minimum separation of 25 meters from traffic and avoid geofence or altitude violations. Battery capacity is limited, requiring efficient routing to complete the mission within the 600-second time budget. The UAV spawns at the southwest end of the corridor and must land at a designated preferred or emergency site. Sensor suite includes GNSS, IMU, barometer, magnetometer, and LiDAR, but lacks thermal imaging and radar. Despite communication challenges and environmental hazards, the UAV must achieve mission success without DAA breaches or collisions.",Increase airspeed to 18 m/s and AoA to 14°,Reduce airspeed to 12 m/s and increase AoA to 16°,Maintain 15 m/s and AoA of 10° with slight bank left,Climb to 160 m AGL to exploit tailwind component,Descend to 4 m AGL to reduce wind exposure,Turn eastward into wind to minimize drift angle,"Hold current speed and pitch, increasing throttle by 20%","[""Increase airspeed to 18 m/s and AoA to 14°"", ""Reduce airspeed to 12 m/s and increase AoA to 16°"", ""Maintain 15 m/s and AoA of 10° with slight bank left"", ""Climb to 160 m AGL to exploit tailwind component"", ""Descend to 4 m AGL to reduce wind exposure"", ""Turn eastward into wind to minimize drift angle"", ""Hold current speed and pitch, increasing throttle by 20%""]","At 15 m/s and 10° AoA, the UAV operates near optimal L/D ratio, balancing induced and parasitic drag. A slight left bank allows lateral offset from traffic while maintaining coordinated flight. Other choices either exceed stall AoA, reduce clearance, or increase drag or control instability." 2025-11-01T17:53:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Corridor_Follow_with_Fixed-Wing_UAV_255a4c065969_mcq.json,uavbench-mcq-v1,Desert_Corridor_Follow_with_Fixed-Wing_UAV,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 165 m AGL, wind at 12.8 m/s, UAV encounters GNSS jamming. What action ensures compliance and safety?","Fixed-wing UAV conducts a survey mission in a desert corridor with moderate wind and cold temperature extremes. The UAV operates between 30 and 180 meters AGL within a defined rectangular airspace. Wind increases with altitude, reaching 13.5 m/s at 200 meters, and shifts direction from 240° to 260°. Equipped with GNSS, IMU, lidar, and RGB camera, the UAV carries a 0.7 kg payload with minimal drag. A no-fly zone cylinder is centered at (500, 250) with a 60-meter radius and vertical limits from 30 to 120 meters. A single intruder UAV moves westward at 18 m/s, requiring separation monitoring. A moving spherical obstacle drifts left at 5 m/s near the corridor's edge. GNSS jamming occurs for 45 seconds with 80% severity, and communication dropouts happen twice during flight. The mission requires runway-aligned takeoff and landing, with preferred and emergency sites designated. EM interference is present, but no GNSS multipath is modeled in this scenario.",Descend to 100 m AGL and continue survey,Climb to 180 m AGL for stronger GNSS signal,Turn north to bypass jamming zone quickly,Descend to 40 m AGL and hold for 50 seconds,Execute immediate runway-aligned landing,"Divert west to emergency runway, maintaining 150 m AGL",Maintain altitude and switch to IMU-lidar navigation,"[""Descend to 100 m AGL and continue survey"", ""Climb to 180 m AGL for stronger GNSS signal"", ""Turn north to bypass jamming zone quickly"", ""Descend to 40 m AGL and hold for 50 seconds"", ""Execute immediate runway-aligned landing"", ""Divert west to emergency runway, maintaining 150 m AGL"", ""Maintain altitude and switch to IMU-lidar navigation""]",GNSS jamming lasts 45 seconds with 80% severity; IMU and lidar enable navigation without violating AGL or NFZ limits. Descending or diverting unnecessarily risks terrain proximity or drift into obstacles. Maintaining altitude within operational band preserves energy and separation from intruder. 2025-11-01T17:53:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Corridor_Follow_with_Heavy_Lift_UAV_5afdfa3d3da0_mcq.json,uavbench-mcq-v1,Desert_Corridor_Follow_with_Heavy_Lift_UAV,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"At 110 m AGL, wind 7.2 m/s from 240°, how should the UAV adapt navigation during a 15-second GNSS outage?","This is an inspection mission using a heavy-lift UAV in a desert corridor environment. The UAV operates within a defined rectangular airspace bounded between 10 and 120 meters AGL. Weather includes moderate wind from 240° at 7.2 m/s with gusts up to 4.1 m/s and a risk of lightning. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors, carrying a 5 kg payload. A static no-fly zone and a moving no-fly cylinder create dynamic constraints. The UAV must avoid a slow-moving spherical obstacle traveling westward. Another UAV is present in the airspace, requiring separation of at least 25 meters and a time-to-closest approach threshold of 10 seconds. Communication experiences brief loss windows, potentially affecting command and telemetry. The mission must be completed within 600 seconds, following a northbound corridor with a predefined endpoint. Battery reserve is set to 30%, and success depends on avoiding collisions, geofence breaches, and DAA violations.",Switch entirely to IMU dead reckoning with lidar altimeter,Rely on RGB optical flow for lateral drift correction,Descend to 10 m AGL to reduce wind-induced position error,Use lidar-IMU SLAM fused with last known GNSS fix,Maintain course using GNSS-predicted trajectory extrapolation,Ascend to 120 m AGL for clearer GNSS signal post-outage,Hover in place using IMU and barometer until GNSS returns,"[""Switch entirely to IMU dead reckoning with lidar altimeter"", ""Rely on RGB optical flow for lateral drift correction"", ""Descend to 10 m AGL to reduce wind-induced position error"", ""Use lidar-IMU SLAM fused with last known GNSS fix"", ""Maintain course using GNSS-predicted trajectory extrapolation"", ""Ascend to 120 m AGL for clearer GNSS signal post-outage"", ""Hover in place using IMU and barometer until GNSS returns""]","Lidar-IMU SLAM provides spatially consistent state estimation during GNSS outages and resists wind-induced drift. Fusing with the last valid GNSS fix anchors the solution, reducing IMU integration errors. This maximizes navigation integrity in a feature-sparse desert while respecting altitude and obstacle constraints." 2025-11-01T17:53:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Corridor_Follow_with_Icing_Conditions_a097e4289171_mcq.json,uavbench-mcq-v1,Desert_Corridor_Follow_with_Icing_Conditions,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"At 6,000 m AGL with 16 m/s westerly winds and icing at 200 s, what adjustment maintains lift despite reduced air density and ice accumulation?","This mission involves a high-altitude pseudo-satellite UAV conducting a survey in a desert airspace. The UAV follows a corridor pattern between 1,000 m and 6,000 m AGL, navigating through varying wind conditions and icing risks. Winds increase with altitude, shifting from 8 m/s at ground level to 16 m/s at 6,000 m, with a westerly direction. The UAV is equipped with radar and RGB camera payload but lacks thermal and lidar sensors. Icing conditions are present, with a simulated icing event occurring at 200 seconds into the flight, affecting performance. A static no-fly zone and a moving dynamic no-fly zone require real-time path adjustments. GNSS signals are usable but face electromagnetic interference, though multipath effects are absent. The UAV must maintain separation from traffic and a moving spherical obstacle while adhering to geofencing and DAA thresholds. Communication experiences brief dropouts, and the mission requires a runway for landing. Battery endurance and fault resilience are critical due to environmental stressors and mission duration constraints.",Increase angle of attack by 4° to offset lift loss,Reduce airspeed to 18 m/s to minimize drag,"Descend to 1,000 m to avoid icing and turbulence",Deploy flaps fully to increase wing area,Pitch down 3° to reduce stall risk in shear,Maintain current attitude and increase throttle 15%,Turn east to use tailwind for thrust assistance,"[""Increase angle of attack by 4° to offset lift loss"", ""Reduce airspeed to 18 m/s to minimize drag"", ""Descend to 1,000 m to avoid icing and turbulence"", ""Deploy flaps fully to increase wing area"", ""Pitch down 3° to reduce stall risk in shear"", ""Maintain current attitude and increase throttle 15%"", ""Turn east to use tailwind for thrust assistance""]","At high altitude, reduced air density decreases lift, and ice contamination degrades airfoil performance, increasing stall risk. Increasing thrust compensates for higher induced drag and maintains airspeed, preserving lift without exceeding critical angle of attack. Other options either risk stall, increase drag excessively, or violate wind or control constraints." 2025-11-01T17:53:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Corridor_Follow_with_Microburst_Risk_4f7d3a7fa0ef_mcq.json,uavbench-mcq-v1,Desert_Corridor_Follow_with_Microburst_Risk,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"UAV must survey below 150 m AGL in 600 s with microburst risk, moving obstacle, and 8 m/s winds from 240°.","This UAV mission is a corridor survey in a desert environment with a risk of microbursts. The helicopter UAV operates within a defined airspace bounded by a polygon geofence, between 10 and 150 meters AGL. Winds are from 240 degrees at 8 m/s with gusts up to 4.5 m/s, increasing flight challenges. The UAV is battery-powered, equipped with LIDAR, RGB camera, and standard navigation sensors. A static no-fly zone blocks the center of the corridor, while a dynamic no-fly zone moves through the area. A moving obstacle with a spherical shape travels through the corridor, requiring real-time avoidance. Another UAV is present in the airspace, approaching from outside the geofence, necessitating separation monitoring. Communication experiences brief downlink losses at two intervals during the mission. The UAV must complete its waypoint route within 600 seconds while avoiding obstacles, maintaining GNSS/IMU navigation, and preserving battery reserves.",Climb to 140 m AGL and proceed direct,Descend to 11 m AGL and reroute west,"Maintain 100 m AGL, delay entry by 45 s",Accelerate to reduce exposure by 70 s,"Hover until dynamic NFZ passes, then proceed","Divert east at 150 m AGL, rejoin after 90 s","Split segment: fly south leg first, then north","[""Climb to 140 m AGL and proceed direct"", ""Descend to 11 m AGL and reroute west"", ""Maintain 100 m AGL, delay entry by 45 s"", ""Accelerate to reduce exposure by 70 s"", ""Hover until dynamic NFZ passes, then proceed"", ""Divert east at 150 m AGL, rejoin after 90 s"", ""Split segment: fly south leg first, then north""]","G minimizes time in wind-exposed zones and avoids conflict with the moving obstacle and dynamic NFZ by reordering tasks. It preserves battery and maintains separation from the other UAV by deconflicting timing. Other options either violate altitude limits, increase microburst exposure, or risk NFZ intrusion." 2025-11-01T17:53:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Facade_Inspection_with_Helicopter_UAV_dfa0715a65be_mcq.json,uavbench-mcq-v1,Desert_Facade_Inspection_with_Helicopter_UAV,minimax/minimax-m1,9,Comparative System Reasoning,7,?,F,False,"Helicopter UAV in desert faces 45s GNSS loss, dynamic no-fly zones, and 10-min corridor inspection. Which system ensures mission success with fault tolerance and obstacle avoidance?","This mission involves a helicopter UAV conducting a facade inspection in a desert environment. The UAV operates within a defined rectangular airspace with a static no-fly zone and a moving dynamic no-fly zone. Weather conditions include moderate winds from the southwest and a risk of lightning. The UAV is equipped with RGB and thermal cameras, LIDAR, and standard navigation sensors. It must avoid a moving obstacle and maintain separation from another UAV on a crossing path. A GNSS jamming fault occurs mid-mission, degrading positioning for 45 seconds. Communication experiences brief downlink losses at two intervals. The flight must stay within altitude and geofence limits while completing a corridor inspection pattern within 10 minutes. Battery endurance and real-time DAA thresholds are critical constraints throughout the mission.",Monocular vision-only navigation,Dual IMU with LIDAR altimeter,GPS-dependent autopilot no backup,Thermal-only obstacle detection,Single IMU and no redundancy,LIDAR-visual-Inertial sensor fusion,RGB camera primary navigation,"[""Monocular vision-only navigation"", ""Dual IMU with LIDAR altimeter"", ""GPS-dependent autopilot no backup"", ""Thermal-only obstacle detection"", ""Single IMU and no redundancy"", ""LIDAR-visual-Inertial sensor fusion"", ""RGB camera primary navigation""]","F integrates LIDAR, visual, and inertial sensors, providing robust positioning during GNSS outages and precise obstacle tracking in dynamic environments. It outperforms others in fault tolerance, environmental adaptability, and maintains accuracy under wind and sensor faults, ensuring timely, safe corridor inspection." 2025-11-01T17:53:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Facade_Inspection_with_High-Altitude_Pseudo-Satellite_2351313285ce_mcq.json,uavbench-mcq-v1,Desert_Facade_Inspection_with_High-Altitude_Pseudo-Satellite,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which UAV configuration best ensures mission success at 3000 m AGL with 8 m/s winds, GNSS jamming, and 600-second duration?","This mission involves a high-altitude pseudo-satellite UAV conducting a facade inspection in a desert airspace. The UAV is equipped with radar, RGB and thermal cameras, and relies on battery power for extended endurance. It operates within an altitude range of 100 to 3000 meters AGL, following a corridor pattern across five waypoints. The environment features poor visibility due to snowfall, 8 m/s westerly winds, and 4 m/s gusts, creating challenging flight conditions. A cylindrical no-fly zone is present at the center of the operational area, requiring careful path planning. The UAV must maintain separation from a moving obstacle traveling eastward at 5 m/s and avoid conflict with another UAV on a crossing trajectory. GNSS jamming and icing events are simulated, degrading navigation and aerodynamic performance temporarily. Communication experiences brief loss windows, and the UAV must return to a designated runway for landing. Notable constraints include reliance on GNSS despite jamming risk, strict geofencing, and the need to complete the mission within 600 seconds while managing energy reserves.","Fixed-wing with RTK-GPS only, no radar, minimal battery margin","Hybrid VTOL with dual GNSS, radar, and 20% extra battery","Quadcopter with thermal cam, no wind resistance tuning","Fixed-wing with INS-GPS fusion, radar, and 15% battery reserve","Solar-powered HAPS with no de-icing, max endurance","UAV with lidar-only navigation, no GNSS backup, high weight","Rotorcraft with manual override, single camera, low speed","[""Fixed-wing with RTK-GPS only, no radar, minimal battery margin"", ""Hybrid VTOL with dual GNSS, radar, and 20% extra battery"", ""Quadcopter with thermal cam, no wind resistance tuning"", ""Fixed-wing with INS-GPS fusion, radar, and 15% battery reserve"", ""Solar-powered HAPS with no de-icing, max endurance"", ""UAV with lidar-only navigation, no GNSS backup, high weight"", ""Rotorcraft with manual override, single camera, low speed""]","System D balances endurance, sensor redundancy, and navigation resilience. INS-GPS fusion maintains accuracy during jamming, radar enables obstacle detection in poor visibility, and 15% battery reserve accounts for wind-induced energy drain. Other options fail in fault tolerance, power, or environmental adaptability." 2025-11-01T17:53:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Firefighting_Drop_with_Quadrotor_3d9308351173_mcq.json,uavbench-mcq-v1,Desert_Firefighting_Drop_with_Quadrotor,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"At 280s, UAV1 adjusts speed near waypoint W3 at 30m altitude; wind is 6 m/s from 240°, and UAV2 moves west at 8 m/s. What should UAV1 do?","This mission involves a firefighting drop using a battery-powered quadrotor UAV equipped with RGB and thermal cameras. The operation takes place in a desert airspace within a 200m x 200m geofenced area, with a maximum altitude of 120m AGL. Weather conditions include a 6 m/s wind from 240 degrees, gusts up to 3.5 m/s, and poor visibility due to fog. The UAV must navigate around a cylindrical no-fly zone centered at (100, 100) with a 20m radius and extending to 60m altitude. It follows a corridor pattern mission with four waypoints at 30m altitude, aiming to complete the route within 600 seconds. A second UAV is present in the airspace, moving westbound at 8 m/s, requiring separation monitoring. A moving spherical obstacle travels leftward at 2 m/s near one of the waypoints. The UAV must avoid geofence breaches, NFZ violations, and maintain safe separation of at least 25m from traffic. Communication links experience brief loss windows, and the mission emphasizes reliable GNSS and sensor performance despite potential multipath in the area.",Increase speed to 10 m/s to reach W3 before UAV2 enters 75m zone,Maintain 7 m/s and hold altitude to preserve energy and spacing,Climb to 65m to avoid moving obstacle and improve GNSS reception,Descend to 20m to reduce wind impact and thermal noise,Hover for 15s to resynchronize comms during brief link loss,Turn left to bypass obstacle at 25m separation and resume course,Match UAV2’s velocity vector to minimize relative closure rate,"[""Increase speed to 10 m/s to reach W3 before UAV2 enters 75m zone"", ""Maintain 7 m/s and hold altitude to preserve energy and spacing"", ""Climb to 65m to avoid moving obstacle and improve GNSS reception"", ""Descend to 20m to reduce wind impact and thermal noise"", ""Hover for 15s to resynchronize comms during brief link loss"", ""Turn left to bypass obstacle at 25m separation and resume course"", ""Match UAV2’s velocity vector to minimize relative closure rate""]","UAV1 must avoid the leftward-moving obstacle near W3 while maintaining safe 25m separation and mission timing. Option F ensures obstacle avoidance without violating NFZ or delaying mission. Other choices either breach separation, waste time, or increase collision risk under wind and visibility constraints." 2025-11-01T17:53:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Corridor_Follow_with_Hexacopter_6af302620bcb_mcq.json,uavbench-mcq-v1,Desert_Corridor_Follow_with_Hexacopter,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"With 8 m/s winds at 240°, dust reducing visibility to 800 m, and GNSS multipath near obstacles, how should navigation adapt?","This mission involves a hexacopter conducting a survey in a desert corridor environment. The flight occurs in a defined rectangular airspace with a static no-fly zone and a moving restricted zone. Winds are strong at 8 m/s from 240 degrees, with gusts up to 4 m/s and poor visibility due to dust. The UAV is equipped with GNSS, IMU, lidar, and an RGB camera for navigation and data collection. It must follow a predefined corridor pattern while avoiding obstacles and maintaining safe separation. A dynamic no-fly zone moves through the airspace, requiring real-time path adjustments. Another UAV and a moving spherical obstacle add complexity to collision avoidance. The hexacopter must manage battery usage carefully to complete the mission within 600 seconds. GNSS multipath effects may occur near obstacles, and strict altitude and geofence constraints must be maintained. Landing is planned at a preferred site, with emergency options available.",Rely solely on GNSS for position accuracy,Use IMU-lidar fusion during dust-induced camera degradation,Disable lidar to reduce processing load in gusts,Follow wind vector to save battery in corridor pattern,Prioritize RGB camera for obstacle detection in dust,Maintain altitude using barometer despite GNSS drift,Navigate by magnetic heading near moving restricted zone,"[""Rely solely on GNSS for position accuracy"", ""Use IMU-lidar fusion during dust-induced camera degradation"", ""Disable lidar to reduce processing load in gusts"", ""Follow wind vector to save battery in corridor pattern"", ""Prioritize RGB camera for obstacle detection in dust"", ""Maintain altitude using barometer despite GNSS drift"", ""Navigate by magnetic heading near moving restricted zone""]",Lidar and IMU fusion compensates for degraded RGB performance in dusty conditions and mitigates GNSS multipath near obstacles. This combination ensures stable positioning and obstacle awareness. IMU bridges short-term lidar-GNSS desync caused by environmental noise. 2025-11-01T17:53:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Heavy_Lift_Delivery_Mission_883ef2d4c736_mcq.json,uavbench-mcq-v1,Desert_Heavy_Lift_Delivery_Mission,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,An octocopter carries 10 kg in 8 m/s winds at 18 m/s max speed. Which airspeed balances energy and obstacle avoidance?,"This is a heavy lift delivery mission using an octocopter UAV in a desert environment. The UAV carries a 10 kg payload and is powered by a 12,000 Wh battery, supporting a maximum speed of 18 m/s. The mission takes place within a defined polygonal airspace with an altitude range from 10 to 150 meters AGL. Conditions include moderate winds at 8 m/s from 240 degrees, gusts up to 4 m/s, and poor visibility due to dust. A static no-fly zone is present as a cylinder near the center, and a dynamic no-fly zone moves through the area. A second moving obstacle travels through the flight path, requiring real-time avoidance. Air traffic includes another UAV entering from the south edge, necessitating separation maintenance of at least 25 meters. The UAV must avoid GNSS multipath effects likely caused by terrain or structures, though no explicit signal degradation is modeled. Visual sensors are available, but no LiDAR or radar, limiting perception in dusty conditions. The mission requires reaching the delivery waypoint within 600 seconds while respecting energy reserves and no-fly zones.",Fly at 18 m/s to minimize exposure to gusts,Descend to 10 m AGL to reduce wind effects,Fly at 12 m/s for optimal lift-to-drag ratio,Climb to 150 m AGL to avoid dust visibility,Increase pitch beyond 15° to accelerate climb,Hover at reduced throttle to wait for clear path,Bank 45° continuously to skirt no-fly zone,"[""Fly at 18 m/s to minimize exposure to gusts"", ""Descend to 10 m AGL to reduce wind effects"", ""Fly at 12 m/s for optimal lift-to-drag ratio"", ""Climb to 150 m AGL to avoid dust visibility"", ""Increase pitch beyond 15° to accelerate climb"", ""Hover at reduced throttle to wait for clear path"", ""Bank 45° continuously to skirt no-fly zone""]","Flying at 12 m/s optimizes lift-to-drag ratio, reducing power draw from the 12,000 Wh battery while maintaining control in 8 m/s winds. Higher speeds increase parasitic drag; lower speeds raise induced drag. This airspeed ensures energy efficiency and sufficient responsiveness for dynamic obstacle avoidance within 600 seconds." 2025-11-01T17:53:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Microburst_Waypoint_Survey_d5c0d7de510d_mcq.json,uavbench-mcq-v1,Desert_Microburst_Waypoint_Survey,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"With 600s endurance, 8 m/s wind from 240°, and two comms outages, which strategy maximizes survey completion while ensuring return?","This UAV mission is a waypoint survey conducted in a desert environment. The quadrotor operates within a defined airspace bounded by a fixed polygonal geofence and must avoid both static and moving obstacles. Weather includes a steady 8 m/s wind from 240 degrees with gusts up to 4 m/s and a risk of microbursts. The UAV carries an RGB camera payload for visual data collection during the survey. It must avoid a stationary no-fly zone near the center and a dynamically moving no-fly cylinder. A second UAV and a moving spherical obstacle pose additional collision risks. The mission requires maintaining separation of at least 25 meters to avoid DAA breaches. GNSS signals may experience multipath effects due to the open but featureless desert terrain. Communication includes two brief downlink loss windows, requiring robust data handling. The UAV must complete its grid-pattern waypoints and return safely within the 600-second time limit.",Fly full-speed throughout to finish early,Reduce camera resolution during gusts,Skip waypoints near moving obstacle,Circle waiting for microburst clearance,Ascend to avoid no-fly cylinder permanently,Transmit all data during downlink windows,Hover every 60s to recalibrate GNSS,"[""Fly full-speed throughout to finish early"", ""Reduce camera resolution during gusts"", ""Skip waypoints near moving obstacle"", ""Circle waiting for microburst clearance"", ""Ascend to avoid no-fly cylinder permanently"", ""Transmit all data during downlink windows"", ""Hover every 60s to recalibrate GNSS""]","Reducing camera resolution during gusts saves power and reduces data load, preserving energy and bandwidth for critical phases. It balances payload efficiency with mission continuity, avoiding unnecessary computation and communication peaks. Other options waste energy or risk DAA breaches, data loss, or time violations." 2025-11-01T17:53:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Package_Delivery_with_Thermal_Updrafts_2e7e004b1593_mcq.json,uavbench-mcq-v1,Desert_Package_Delivery_with_Thermal_Updrafts,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,What should the UAV do at 80m AGL with 25kt southwest wind and thermal updraft to optimize energy use?,"This is a package delivery mission conducted in a desert airspace with good visibility and strong wind from the southwest. The hexacopter UAV carries a standard RGB camera payload and operates within a defined corridor between 10 and 120 meters AGL. Thermal updrafts are present near two locations, providing potential lift that may aid flight efficiency. A static no-fly zone blocks access to a cylinder near the center of the desert area, and a dynamic no-fly zone moves westward, requiring real-time avoidance. The UAV must also maintain separation from another traffic UAV flying westbound at 60 meters altitude and avoid a moving spherical obstacle descending southward. GNSS signals are available but may experience multipath effects due to the open yet feature-sparse desert terrain. Communication experiences brief uplink/downlink loss windows, which could impact control responsiveness. Battery endurance is critical, with a reserve requirement of 30% and a strict 10-minute time budget to complete the mission. The flight begins at the southeast corner and navigates through five waypoints toward the northwest delivery point, with an alternate emergency landing site available.",Increase pitch by 3° to maximize lift from updraft,Reduce throttle and descend to avoid wind shear,Bank 15° left to exploit updraft with minimal drag,Maintain current attitude and increase airspeed,Yaw right to align with wind vector for thrust gain,Climb vertically to capture strongest thermal core,Enter hover to wait for updraft stabilization,"[""Increase pitch by 3° to maximize lift from updraft"", ""Reduce throttle and descend to avoid wind shear"", ""Bank 15° left to exploit updraft with minimal drag"", ""Maintain current attitude and increase airspeed"", ""Yaw right to align with wind vector for thrust gain"", ""Climb vertically to capture strongest thermal core"", ""Enter hover to wait for updraft stabilization""]","Increasing pitch angle slightly enhances angle of attack, capturing additional lift from rising air without inducing excessive drag. At 80m AGL, within the thermal influence, this reduces power demand by utilizing natural updraft energy. Other options either increase induced drag, misalign with airflow, or waste time and battery in a time-constrained mission." 2025-11-01T17:53:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Pipeline_Inspection_with_Convertiplane_UAV_699fc2b94fca_mcq.json,uavbench-mcq-v1,Desert_Pipeline_Inspection_with_Convertiplane_UAV,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 200 s, moderate icing hits; UAV is at 120 m AGL, 8 km from runway. Wind is 7.5 m/s from 240°. What minimizes risk?","This scenario involves a pipeline inspection mission using a convertiplane UAV in a desert environment. The airspace is flat desert terrain with a defined geofence and both static and moving no-fly zones. Weather conditions include moderate wind at 7.5 m/s from 240°, increasing with altitude, and poor visibility due to snowfall. The UAV is equipped with RGB and thermal cameras for inspection and relies on GNSS, IMU, and other standard sensors. GNSS signals are degraded by multipath effects and EM interference, with mild jamming at -85 dBm. The UAV must avoid a cylindrical NFZ near the center and a dynamic obstacle moving slowly through the area. Air traffic includes another UAV approaching from the southeast. The mission requires use of a designated runway for landing and includes a fault event simulating moderate icing at 200 seconds. Battery reserves are set at 30%, and energy consumption is closely monitored due to wind and maneuvering demands. Communication experiences brief downlink outages, and separation from obstacles and NFZs must be maintained throughout the flight.",Climb to 150 m AGL to avoid NFZ and icing layer,"Descend to 90 m AGL, continue inspection, then return","Abort mission, divert directly to runway at 100 m AGL",Hold position at 120 m AGL until icing subsides,"Increase speed to 18 m/s, descend to 80 m AGL","Turn northwest to reduce exposure, maintain 120 m AGL","Descend to 60 m AGL, proceed to runway via low terrain","[""Climb to 150 m AGL to avoid NFZ and icing layer"", ""Descend to 90 m AGL, continue inspection, then return"", ""Abort mission, divert directly to runway at 100 m AGL"", ""Hold position at 120 m AGL until icing subsides"", ""Increase speed to 18 m/s, descend to 80 m AGL"", ""Turn northwest to reduce exposure, maintain 120 m AGL"", ""Descend to 60 m AGL, proceed to runway via low terrain""]","Moderate icing at 200 s demands immediate risk reduction. Continuing or holding increases exposure, while lower altitudes may worsen GNSS multipath and terrain collision risk. Diverting at 100 m AGL ensures separation from NFZ, conserves energy, and enables safe landing using the designated runway before degradation worsens." 2025-11-01T17:53:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Lost_Link_RTL_with_Amphibious_UAV_c5800713af45_mcq.json,uavbench-mcq-v1,Desert_Lost_Link_RTL_with_Amphibious_UAV,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"At 210s, comms fail for 45s; UAV is at (550, 450) AGL 80m, fog, 6.5 m/s wind. How to execute RTL safely?","This mission involves an inspection flight in a desert airspace using an amphibious fixed-wing UAV equipped with GNSS, IMU, lidar, and RGB camera payload. The UAV operates within an altitude range of 5 to 150 meters AGL, following a corridor pattern across four waypoints. The environment features poor visibility due to fog and a 6.5 m/s wind from 240 degrees with gusts, challenging navigation and sensor performance. A cylindrical no-fly zone is centered at (600, 400) with a 50-meter radius and vertical limits from 5 to 60 meters. The UAV must return to a designated runway at (100, 750) for landing, which is also the preferred landing site, though an emergency site is available at the no-fly zone center. At 210 seconds into the mission, a complete loss of communication occurs for 45 seconds, triggering an automatic return-to-launch (RTL) procedure. During the fault, the UAV must navigate back without downlink or uplink, relying solely on onboard sensors and fault resilience. A moving spherical obstacle drifts diagonally across the flight path at (500, 500) with a 10-meter radius and velocity of (-2, 2, 0) m/s, requiring dynamic avoidance. The UAV must maintain separation of at least 25 meters from traffic and avoid DAA breaches, with an intruding UAV entering the airspace from the east. Battery endurance and sensor degradation due to weather are key constraints, especially during the link loss in low-visibility conditions.","Descend to 30m AGL, divert northwest around NFZ, direct to runway","Climb to 150m AGL, fly east over NFZ, then return to runway","Maintain 80m AGL, proceed directly to runway through NFZ perimeter","Turn west immediately, descend below 5m AGL, glide parallel to runway","Ascend to 100m AGL, avoid moving obstacle, re-route south of NFZ","Hold position at 80m until comms restore, then proceed direct to runway","Descend to 10m AGL, fly southwest avoiding obstacle, land at NFZ center","[""Descend to 30m AGL, divert northwest around NFZ, direct to runway"", ""Climb to 150m AGL, fly east over NFZ, then return to runway"", ""Maintain 80m AGL, proceed directly to runway through NFZ perimeter"", ""Turn west immediately, descend below 5m AGL, glide parallel to runway"", ""Ascend to 100m AGL, avoid moving obstacle, re-route south of NFZ"", ""Hold position at 80m until comms restore, then proceed direct to runway"", ""Descend to 10m AGL, fly southwest avoiding obstacle, land at NFZ center""]","Option A avoids the NFZ's 50m radius and 5–60m vertical limits by routing northwest at 30m AGL, ensuring terrain separation and compliance. It begins immediate RTL, conserving battery during comms loss and avoiding the moving obstacle's path while maintaining safe distance from intruding UAVs. Other options violate NFZ, fly below minimum 5m AGL, waste time, or risk collision." 2025-11-01T17:53:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Pipeline_Inspection_with_Glider_fa58ed5a70bf_mcq.json,uavbench-mcq-v1,Desert_Pipeline_Inspection_with_Glider,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Which route avoids NFZs, adapts to 45s GNSS loss, and uses updrafts within 10-min budget at 10–300m AGL?","A glider UAV conducts a pipeline inspection mission in a desert environment. The flight occurs within a defined polygonal geofence, with altitude restricted between 10 and 300 meters AGL. Strong winds up to 15 m/s increase with altitude and shift direction, while sandstorm conditions reduce visibility intermittently. The UAV is equipped with RGB and thermal cameras for visual inspection and relies on GNSS, IMU, and other onboard sensors. GNSS signals are degraded due to multipath effects and electromagnetic interference, with a planned jamming event causing 45 seconds of partial GNSS loss. A static no-fly zone and a moving dynamic no-fly zone must be avoided, along with a traffic UAV flying westbound at 18 m/s. Thermal updrafts are present at two locations, offering potential energy-saving opportunities for the glider. The mission follows a corridor pattern along a series of five waypoints with a 10-minute time budget. Communication experiences a brief downlink loss between 200 and 230 seconds, requiring robust onboard decision-making.",Climb to 300m immediately for wind advantage,"Fly direct at 150m, ignore thermal updrafts",Reroute east around dynamic NFZ at 200m,Descend to 10m AGL to avoid wind shear,Use thermal updrafts near waypoints 2 and 4,Delay departure until sandstorm clears,"Follow corridor pattern at 180m, adjust for drift","[""Climb to 300m immediately for wind advantage"", ""Fly direct at 150m, ignore thermal updrafts"", ""Reroute east around dynamic NFZ at 200m"", ""Descend to 10m AGL to avoid wind shear"", ""Use thermal updrafts near waypoints 2 and 4"", ""Delay departure until sandstorm clears"", ""Follow corridor pattern at 180m, adjust for drift""]","Option G maintains safe altitude, follows the planned corridor while compensating for GNSS drift and wind. It ensures timely waypoint sequencing within the 10-minute budget. Other options violate AGL limits, increase exposure to NFZs, or waste time and energy." 2025-11-01T17:53:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Pipeline_Inspection_with_Gusts_3ffe3d1bb214_mcq.json,uavbench-mcq-v1,Desert_Pipeline_Inspection_with_Gusts,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 450s, motor fails; sandstorm persists, 6 m/s winds, 4.5 m/s gusts. UAV must return within 120s. What’s the priority?","This is a pipeline inspection mission conducted in a desert airspace with clear visibility but active sandstorm conditions and strong winds from the west at 6 m/s, including gusts up to 4.5 m/s. The UAV is a quadrotor equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, carrying a 0.5 kg payload for inspection tasks. It operates within a defined rectangular geofence, with a minimum altitude of 10 m AGL and a maximum of 120 m AGL. A static no-fly zone is present near the center of the area, and a dynamic no-fly zone moves diagonally through the mission space. The UAV must maintain a separation of at least 25 meters from other traffic, with a time-to-closest-approach threshold of 10 seconds. GNSS multipath and interference are concerns, worsened by a planned GNSS jamming fault at 300 seconds and intermittent comms loss. A motor failure fault is also introduced at 450 seconds, reducing motor efficiency by 50% temporarily. The mission requires completing a corridor-style waypoint path within 600 seconds while managing energy use and fault responses. The UAV starts at a designated spawn point and must return to a preferred landing site unless an emergency arises.",Continue inspection to fulfill mission contract obligations,Ascend to 120 m AGL for better GNSS reception and stability,Divert to nearest safe landing outside geofence to preserve UAV,Eject payload to reduce weight and extend flight time,Request override to enter dynamic no-fly zone for shorter route,Initiate immediate emergency descent to minimize crash risk,Proceed to preferred landing site while reducing speed for control,"[""Continue inspection to fulfill mission contract obligations"", ""Ascend to 120 m AGL for better GNSS reception and stability"", ""Divert to nearest safe landing outside geofence to preserve UAV"", ""Eject payload to reduce weight and extend flight time"", ""Request override to enter dynamic no-fly zone for shorter route"", ""Initiate immediate emergency descent to minimize crash risk"", ""Proceed to preferred landing site while reducing speed for control""]","The UAV must prioritize safe return over mission completion, especially after motor failure and in adverse weather. Proceeding to the preferred landing site ensures compliance with operational boundaries and minimizes risk to people and property, balancing fault tolerance and airspace rules." 2025-11-01T17:53:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Pipeline_Inspection_with_Lightning_Risk_f8d86ed43b20_mcq.json,uavbench-mcq-v1,Desert_Pipeline_Inspection_with_Lightning_Risk,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,"Which UAV configuration best balances endurance, obstacle avoidance, and GNSS-denied navigation during the 10-minute desert pipeline inspection with 6 m/s winds?","This scenario involves a pipeline inspection mission using a battery-powered quadrotor UAV equipped with RGB and thermal cameras. The flight occurs in a desert environment with good visibility but a risk of lightning, requiring caution. The UAV must operate between 10 and 120 meters AGL within a defined polygonal airspace. A static no-fly zone (cylinder) is centered at (400, 300) with a 50-meter radius, and a dynamic no-fly zone moves toward the southwest at 2.5 m/s. Wind blows at 6 m/s from 240 degrees with gusts up to 3.5 m/s, affecting flight stability. The mission has a 10-minute time budget and follows a corridor pattern across five waypoints. A second UAV and a moving spherical obstacle create dynamic traffic hazards. GNSS jamming and communication loss are simulated between 320 and 365 seconds, challenging navigation and control. The UAV must maintain a minimum separation of 25 meters from other traffic to avoid DAA breaches. Return to the preferred landing site at (50, 50) is required, with an emergency option available at (750, 550).","Lightweight frame, single camera, minimal redundancy","Dual batteries, no thermal sensor, basic GNSS-only nav","Single battery, full RGB/thermal, no obstacle detection","Redundant IMU, vision-aided nav, moderate weight","High-thrust motors, no comms backup, heavy payload","Long-range radio, no DAA, high energy consumption","Full redundancy, hybrid navigation, efficient power use","[""Lightweight frame, single camera, minimal redundancy"", ""Dual batteries, no thermal sensor, basic GNSS-only nav"", ""Single battery, full RGB/thermal, no obstacle detection"", ""Redundant IMU, vision-aided nav, moderate weight"", ""High-thrust motors, no comms backup, heavy payload"", ""Long-range radio, no DAA, high energy consumption"", ""Full redundancy, hybrid navigation, efficient power use""]","System G maintains mission reliability with hybrid navigation during 45-second GNSS jamming and handles wind gusts via efficient power use. It supports thermal/RGB payloads and DAA compliance at 25m separation. Other systems fail in redundancy, sensing, or energy endurance under combined environmental and traffic stresses." 2025-11-01T17:53:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Pipeline_Inspection_with_High-Altitude_Pseudo-Satellite_d24f4aeff357_mcq.json,uavbench-mcq-v1,Desert_Pipeline_Inspection_with_High-Altitude_Pseudo-Satellite,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"With 600-second endurance, 16 m/s winds, and thermal updrafts, which strategy maximizes inspection time within battery limits?","This mission involves a high-altitude pseudo-satellite conducting a pipeline inspection in a desert environment. The UAV operates within a defined airspace corridor from 100 to 4500 meters AGL, navigating around static and moving no-fly zones. It is equipped with radar, RGB and thermal cameras, relying on GNSS/IMU navigation despite significant GNSS multipath and periodic jamming. The desert weather includes strong winds up to 16 m/s, sandstorms, and poor visibility, challenging flight stability and sensor performance. Thermal updrafts are present and can be exploited for energy savings. A dynamic no-fly zone and moving obstacle require real-time path adjustments, with strict separation maintained from other air traffic. The UAV must complete its corridor-style waypoint mission within 600 seconds while managing battery reserves. Communication links experience brief outages, and the UAV faces simulated GNSS jamming and icing events that affect navigation and performance. Launch occurs at high altitude, with preferred and emergency landing zones designated. Mission success depends on avoiding collisions, geofence breaches, and maintaining sufficient battery and separation margins throughout.",Fly fastest speed to finish early,Circle in thermal updrafts continuously,Reduce camera frame rate and climb slowly,Hover at each waypoint for full scans,Disable radar to save power immediately,Ascend to 4500 m to avoid obstacles,Transmit all data in real time continuously,"[""Fly fastest speed to finish early"", ""Circle in thermal updrafts continuously"", ""Reduce camera frame rate and climb slowly"", ""Hover at each waypoint for full scans"", ""Disable radar to save power immediately"", ""Ascend to 4500 m to avoid obstacles"", ""Transmit all data in real time continuously""]","Reducing camera frame rate cuts power use while slow climbing exploits thermals for lift, conserving battery. This balances sensor needs and energy savings, enabling full mission completion within 600 seconds. Other options waste energy through excessive speed, idle hovering, or high-bandwidth transmission." 2025-11-01T17:53:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Pipeline_Inspection_with_Swarm_Drones_in_Sandstorm_332d8ae05fd7_mcq.json,uavbench-mcq-v1,Desert_Pipeline_Inspection_with_Swarm_Drones_in_Sandstorm,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"With 18 m/s winds, GNSS jamming, and a motor failure, how should the swarm respond to complete the 600-second pipeline inspection?","This mission involves a swarm of four inspection drones surveying a desert pipeline corridor under severe sandstorm conditions. The operation takes place in a designated desert airspace with a rectangular geofence and two no-fly zones, one of which is moving. Strong winds up to 18 m/s increase with altitude and shift direction, creating challenging flight dynamics. The UAVs are medium-sized, battery-powered hexacopters equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. GNSS signals suffer from multipath effects and intermittent jamming, while electromagnetic interference and frequent communication dropouts degrade downlink reliability. The swarm must maintain minimum separation of 25 meters between drones and avoid collisions with a moving obstacle and conflicting UAV traffic. A critical motor failure and temporary GNSS jamming event further test system resilience. Flight altitude is constrained between 5 and 120 meters AGL, with strict avoidance of static and dynamic no-fly zones. Thermal updrafts offer limited energy-saving opportunities but do not significantly offset power demands. The mission must be completed within 600 seconds, returning to the designated landing zone despite degraded systems and environmental hazards.",Ascend to 120 m for stronger GNSS and clearer paths,Descend to 15 m to reduce wind exposure and save power,Halt all motion until GNSS signal is fully restored,Split swarm to inspect pipeline segments independently,Increase speed to finish before battery or time runs out,Rely solely on LiDAR and inter-drone ranging for navigation,Adopt formation flight at 40 m AGL using sensor fusion,"[""Ascend to 120 m for stronger GNSS and clearer paths"", ""Descend to 15 m to reduce wind exposure and save power"", ""Halt all motion until GNSS signal is fully restored"", ""Split swarm to inspect pipeline segments independently"", ""Increase speed to finish before battery or time runs out"", ""Rely solely on LiDAR and inter-drone ranging for navigation"", ""Adopt formation flight at 40 m AGL using sensor fusion""]","Flying at 40 m balances wind intensity, obstacle clearance, and sensor performance while staying within safe altitude bounds. Sensor fusion compensates for GNSS jamming and communication dropouts using LiDAR and inter-drone ranging. Formation flight maintains separation, conserves energy via coordinated control, and ensures mission completion within 600 seconds despite degraded systems." 2025-11-01T17:53:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Powerline_Inspection_with_Amphibious_UAV_in_Sandstorm_3bd40535d4c3_mcq.json,uavbench-mcq-v1,Desert_Powerline_Inspection_with_Amphibious_UAV_in_Sandstorm,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,Which system ensures navigation accuracy during GNSS outages with 9 m/s winds and 30% battery reserve?,"This is a powerline inspection mission conducted in a desert environment using an amphibious fixed-wing UAV equipped with RGB and thermal cameras, LiDAR, and radar. The UAV operates within a designated airspace bounded by a polygonal geofence, with a minimum altitude of 10 meters AGL and a maximum of 150 meters. A sandstorm is present, causing poor visibility and strong winds from the southwest at 9 m/s with gusts up to 4.5 m/s. The UAV must avoid two no-fly zones—one static cylinder near the center of the area and one dynamic cylinder moving diagonally across the route. Additional hazards include a moving spherical obstacle and a conflicting UAV traveling at 12 m/s on a diagonal trajectory. The mission requires the UAV to follow a corridor inspection pattern through four waypoints within a 600-second time limit. Communication is partially degraded, with periodic uplink outages occurring between 120–135 and 400–420 seconds. The UAV must maintain a separation distance of at least 25 meters from other traffic, with a time-to-closest approach threshold of 15 seconds to trigger alerts. GNSS signals may suffer from multipath due to terrain and weather, and the vehicle must manage battery reserves carefully, starting with 650 Wh and requiring 30% remaining at mission end.",Use GNSS-only positioning with 650 Wh battery,Rely on visual odometry in sandstorm conditions,"Fuse IMU, LiDAR, and radar for state estimation",Switch to thermal-only SLAM for obstacle detection,Depend on pre-mapped route without updates,Use RGB camera with optical flow in low visibility,Track waypoints using radar altimeter alone,"[""Use GNSS-only positioning with 650 Wh battery"", ""Rely on visual odometry in sandstorm conditions"", ""Fuse IMU, LiDAR, and radar for state estimation"", ""Switch to thermal-only SLAM for obstacle detection"", ""Depend on pre-mapped route without updates"", ""Use RGB camera with optical flow in low visibility"", ""Track waypoints using radar altimeter alone""]","LiDAR and radar provide all-weather obstacle and terrain data, while IMU integration ensures continuity during GNSS dropouts. This fusion maintains navigation accuracy under sandstorm conditions and high wind. Other options fail in visibility, reliability, or adaptability, risking geofence or separation violations." 2025-11-01T17:53:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Powerline_Inspection_with_Quadrotor_8ad72a13404d_mcq.json,uavbench-mcq-v1,Desert_Powerline_Inspection_with_Quadrotor,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"In 6 m/s south winds and sandstorm visibility, with GNSS degraded, which sensor fusion strategy ensures accurate navigation below 80 m while avoiding the no-fly zone?","This is a powerline inspection mission using a quadrotor UAV in a desert environment. The flight occurs within a defined rectangular airspace with a maximum altitude of 120 meters AGL. Weather includes strong winds from the south at 6 m/s with gusts up to 3 m/s and reduced visibility due to an active sandstorm. The UAV is equipped with RGB and thermal cameras for inspection and relies on GNSS, IMU, and other standard sensors. A cylindrical no-fly zone is present near the center of the area, restricting access below 80 meters. The mission must be completed within 600 seconds, following a corridor pattern through four waypoints. The UAV has a battery capacity of 320 Wh and must maintain a 30% reserve for safe return. It shares the airspace with one other UAV and a moving spherical obstacle drifting eastward. Communication links are stable with good uplink and downlink quality. Key constraints include avoiding the no-fly zone, maintaining separation from traffic, and managing battery use under challenging weather.",Rely solely on GNSS due to stable signals,Use IMU integration with frequent GPS updates,Depend on visual odometry from RGB camera only,Fuse IMU and visual data with motion models,Switch to thermal-feature tracking exclusively,Use magnetic heading with barometric altitude,Trust IMU dead reckoning for entire low flight,"[""Rely solely on GNSS due to stable signals"", ""Use IMU integration with frequent GPS updates"", ""Depend on visual odometry from RGB camera only"", ""Fuse IMU and visual data with motion models"", ""Switch to thermal-feature tracking exclusively"", ""Use magnetic heading with barometric altitude"", ""Trust IMU dead reckoning for entire low flight""]","Visual and IMU fusion compensates for GNSS degradation in sandstorms, reducing drift. Motion models correct for wind-induced perturbations and maintain spatial coherence. This approach preserves situational awareness near the no-fly zone while conserving battery via efficient path tracking." 2025-11-01T17:53:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Rain_Loiter_Swarm_ec6c19189ddd_mcq.json,uavbench-mcq-v1,Desert_Rain_Loiter_Swarm,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"Six drones loiter at 10–150m AGL, 20m separation, 8 m/s wind; how should they adjust orbit radius after comms outage at 300s?","This is a loiter mission conducted by a six-drone swarm in a desert environment. The airspace is bounded by a polygonal geofence with a cylindrical no-fly zone at the center. Operations occur between 10 and 150 meters AGL under rainy conditions with poor visibility, 8 m/s winds from 240°, and gusts up to 4 m/s. Each UAV is a quadcopter with a battery-powered rotorcraft design, carrying an RGB camera payload. The swarm must maintain a minimum inter-drone separation of 20 meters and avoid a moving spherical obstacle. A second UAV enters the airspace on a fixed trajectory, requiring separation assurance. GNSS signals may suffer multipath effects near the ground, and brief comms outages occur at specific intervals. The drones must loiter in an orbit pattern around designated waypoints for up to 600 seconds. Mission success depends on avoiding collisions, maintaining separation, staying within bounds, and preserving battery reserves.",Expand radius to 50m for better visibility,Maintain current orbit and reduce speed,Contract orbit to 15m to conserve energy,Ascend to 140m to avoid moving obstacle,Shift orbit clockwise by 60 degrees,Halt orbit and hover for 30 seconds,Synchronize descent to 20m AGL,"[""Expand radius to 50m for better visibility"", ""Maintain current orbit and reduce speed"", ""Contract orbit to 15m to conserve energy"", ""Ascend to 140m to avoid moving obstacle"", ""Shift orbit clockwise by 60 degrees"", ""Halt orbit and hover for 30 seconds"", ""Synchronize descent to 20m AGL""]","Maintaining orbit and reducing speed preserves inter-drone separation and swarm geometry during comms loss, ensuring situational awareness. It avoids collision risks from abrupt maneuvers while respecting the 20m minimum separation. Other options violate spacing, altitude bounds, or disrupt coordination when communication is limited." 2025-11-01T17:53:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Rain_Touch-and-Go_Swarm_Mission_902ac43bdf23_mcq.json,uavbench-mcq-v1,Desert_Rain_Touch-and-Go_Swarm_Mission,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"During GNSS jamming at 120m altitude with 25m separation from dynamic UAV traffic, what action prioritizes safety and mission integrity?","This is a swarm UAV mission conducting touch-and-go operations at a desert runway. The flight occurs in a geofenced desert airspace with a static no-fly zone and a moving restricted cylinder. Weather includes rain, poor visibility, lightning risk, and strong winds increasing with altitude. The UAVs are battery-powered rotorcraft with VTOL capability, equipped with RGB cameras and standard navigation sensors. GNSS multipath and electromagnetic interference degrade positioning, with a simulated GNSS jamming event. The swarm consists of six drones maintaining a minimum 5-meter separation, featuring specialized roles like leader and scout. A dynamic obstacle and another UAV traffic increase complexity, requiring DAA compliance with 25-meter separation. The mission requires precise runway alignment despite wind gusts and sensor faults. Constraints include battery reserve limits, comms uplink loss, and strict fault tolerance during critical phases.","A- Continue approach, relying on dead reckoning",B- Descend immediately to avoid collision,C- Execute return-to-home at reduced speed,D- Climb above restricted cylinder to regain signal,游戏副本- Broadcast emergency comms and hold position,F- Switch to RGB visual navigation toward runway,G- Abort swarm operation and land in desert clear zone,"[""A- Continue approach, relying on dead reckoning"", ""B- Descend immediately to avoid collision"", ""C- Execute return-to-home at reduced speed"", ""D- Climb above restricted cylinder to regain signal"", ""游戏副本- Broadcast emergency comms and hold position"", ""F- Switch to RGB visual navigation toward runway"", ""G- Abort swarm operation and land in desert clear zone""]",Aborting the mission ensures safety by avoiding navigation failure and mid-air collision under GNSS denial. It upholds fault tolerance and battery reserves while preventing uncontrolled drift near restricted zones. Continuing risks public safety and violates DAA and airspace compliance under sensor degradation. 2025-11-01T17:53:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Recon_Fixed-Wing_Mission_de765f23462a_mcq.json,uavbench-mcq-v1,Desert_Recon_Fixed-Wing_Mission,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,E,False,"During GNSS jamming at 250 m AGL with 18 m/s wind shear, what adjustment maintains lift-to-drag ratio and geofence compliance?","Fixed-wing UAV conducts area reconnaissance in a desert airspace with active sandstorm conditions and moderate wind shear increasing with altitude. The mission operates within a defined polygonal geofence with minimum and maximum altitudes of 20 and 300 meters AGL. A static no-fly zone protects a sensitive area near the center of the operational zone, while a second dynamic no-fly zone moves across the airspace, requiring real-time avoidance. The UAV is equipped with RGB and thermal cameras for payload imaging, relying on GNSS, IMU, and other onboard sensors despite known GNSS multipath and electromagnetic interference. A distant traffic UAV enters the airspace on a westbound course, necessitating separation assurance below a 50-meter threshold. The flight plan follows a corridor pattern across five waypoints, requiring runway-aligned takeoff and landing at designated sites. Battery endurance is constrained, with a reserve fraction of 30% and limited energy due to high drag and environmental stress. Two fault events are injected: a GNSS jamming incident lasting 45 seconds and a mid-flight icing event reducing performance. Communication links experience brief outages, and the UAV must maintain mission objectives while navigating wind gusts, sensor degradations, and dynamic obstacles.",Increase angle of attack by 3° to offset airflow disruption,Reduce airspeed to 14 m/s to minimize drag in gusts,Descend to 30 m AGL to escape wind shear and turbulence,Bank 25° left to avoid dynamic no-fly zone immediately,Pitch down 2° and increase throttle by 15% for stability,Hold attitude steady using IMU while reducing AoA 1°,Climb to 310 m AGL for smoother air and better reception,"[""Increase angle of attack by 3° to offset airflow disruption"", ""Reduce airspeed to 14 m/s to minimize drag in gusts"", ""Descend to 30 m AGL to escape wind shear and turbulence"", ""Bank 25° left to avoid dynamic no-fly zone immediately"", ""Pitch down 2° and increase throttle by 15% for stability"", ""Hold attitude steady using IMU while reducing AoA 1°"", ""Climb to 310 m AGL for smoother air and better reception""]","Pitching down reduces angle of attack, preventing stall in turbulent shear while increased thrust counters induced drag and maintains airspeed. This balances lift and thrust under sensor degradation, ensuring within-geofence flight and energy-efficient response to wind gusts." 2025-11-01T17:53:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Recon_Quadrotor_Mission_ba1088e24968_mcq.json,uavbench-mcq-v1,Desert_Recon_Quadrotor_Mission,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Which path avoids the drifting no-fly zone and static NFZ while reaching waypoint 3 (300,200) within 450s and preserving 30% battery?","This is a search and rescue mission conducted by a single quadrotor UAV in a desert environment. The mission takes place within a 500m x 500m geofenced area with an altitude range from 5m to 120m AGL. Weather conditions include a moderate 5 m/s wind from the south and occasional 3 m/s gusts, with good visibility. The UAV is equipped with an RGB and thermal camera for payload, relying on battery power with a 320 Wh capacity and a 30% reserve requirement. Navigation uses GNSS, IMU, magnetometer, and barometer, but GNSS multipath may be a concern near the ground in open desert terrain. There is a static no-fly zone (cylinder, 30m radius) centered at (250,250) from 5m to 60m altitude, and a moving no-fly zone drifting northwest at 2.2 m/s. A second UAV and a moving spherical obstacle also share the airspace, requiring 25m separation and imposing dynamic collision avoidance constraints. The mission follows a corridor pattern across five waypoints, with a 600-second time limit and brief communication outages scheduled at 120s and 450s. The UAV must avoid geofence and no-fly zone breaches while managing battery consumption and maintaining safe separation. Success depends on completing the search pattern without collisions, DAA breaches, or communication failures.","Climb to 120m, fly direct to all waypoints","Descend to 40m, bypass static NFZ eastward",Head northwest early to pre-empt drift collision,"Follow corridor pattern at 80m, delay at waypoint 2",Cut through static NFZ at 55m to save time,Fly low at 10m to reduce wind impact,"Reroute south then west, adding 200m detour","[""Climb to 120m, fly direct to all waypoints"", ""Descend to 40m, bypass static NFZ eastward"", ""Head northwest early to pre-empt drift collision"", ""Follow corridor pattern at 80m, delay at waypoint 2"", ""Cut through static NFZ at 55m to save time"", ""Fly low at 10m to reduce wind impact"", ""Reroute south then west, adding 200m detour""]","Option C proactively adjusts heading to avoid the northwest-drifting no-fly zone while maintaining safe altitude and corridor alignment. It balances predictive routing with energy efficiency, preventing last-minute maneuvers that risk DAA breaches or battery overuse. Other options either penetrate NFZs, increase exposure to GNSS drift near terrain, or waste energy on excessive detours or altitude changes." 2025-11-01T17:53:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Recon_with_Octocopter_1ff2049ec38f_mcq.json,uavbench-mcq-v1,Desert_Recon_with_Octocopter,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best balances endurance, obstacle avoidance, and sensor needs at 150m AGL with 30% battery reserve and 6.5 m/s winds?","This is a fixed-wing style area reconnaissance mission using an octocopter UAV in a desert environment. The mission takes place within a defined rectangular airspace bounded from 10 to 150 meters AGL. The UAV is equipped with RGB and thermal cameras for payload, relying on battery power with a reserve fraction of 30%. Weather includes moderate winds from 240 degrees at 6.5 m/s with gusts up to 3.8 m/s and the presence of thermal updrafts near specific locations. GNSS multipath effects are present, potentially affecting navigation accuracy. A static no-fly zone and a moving no-fly cylinder create dynamic constraints, requiring real-time avoidance. The UAV must maintain separation of at least 25 meters from other traffic, with a time-to-closest-approach threshold of 15 seconds. A single intruder UAV moves through the airspace on a fixed trajectory, adding collision risk. The mission involves a grid pattern over the area with a final waypoint near a dynamically moving obstacle.","Fixed-wing with thermal camera only, no GNSS redundancy","Quadcopter with RGB, thermal, and LIDAR, 25% reserve","Octocopter with RGB and thermal, dual GNSS, 30% reserve","Hybrid VTOL with single camera, 40% reserve, no wind compensation","Octocopter with RGB only, no thermal, 30% reserve, basic GPS","Fixed-wing with dual sensors, no dynamic avoidance, 35% reserve","Octocopter with thermal, no RGB, obstacle sensing, 20% reserve","[""Fixed-wing with thermal camera only, no GNSS redundancy"", ""Quadcopter with RGB, thermal, and LIDAR, 25% reserve"", ""Octocopter with RGB and thermal, dual GNSS, 30% reserve"", ""Hybrid VTOL with single camera, 40% reserve, no wind compensation"", ""Octocopter with RGB only, no thermal, 30% reserve, basic GPS"", ""Fixed-wing with dual sensors, no dynamic avoidance, 35% reserve"", ""Octocopter with thermal, no RGB, obstacle sensing, 20% reserve""]","The octocopter with dual GNSS and 30% reserve ensures navigation accuracy under GNSS multipath and wind gusts while meeting battery requirements. It carries both RGB and thermal payloads essential for reconnaissance. Other options lack sensor completeness, insufficient reserve, or inadequate fault tolerance for dynamic obstacles and wind." 2025-11-01T17:53:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Satellite_Relay_with_Icing_Conditions_467251c9c1be_mcq.json,uavbench-mcq-v1,Desert_Satellite_Relay_with_Icing_Conditions,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 195 s, UAV leader must avoid icing at 200 s, a moving obstacle, and stay 30 m apart in 8 m/s winds.","This is a satellite link relay mission conducted in a desert airspace with a heavy-lift octocopter UAV equipped with RGB and thermal cameras, LiDAR, and full GNSS/IMU suite. The UAV carries a 5 kg payload and operates within a 10–150 m AGL altitude band, navigating a predefined corridor of waypoints. The environment features strong 8 m/s winds from 240 degrees with gusts up to 4.5 m/s and includes hazardous icing conditions that temporarily affect flight performance. A cylindrical no-fly zone centered at (500, 400) restricts access within 80 m radius and up to 100 m altitude. The mission involves a 3-UAV swarm with leader-relay roles, requiring minimum 30 m inter-UAV separation and 25 m collision avoidance thresholds. A moving spherical obstacle drifts westward at 5 m/s, adding dynamic avoidance complexity. Communication experiences brief uplink/downlink outages between 180–190 s and 410–430 s, with minimum RSSI at -85 dBm. An icing fault occurs at 200 s, lasting 60 s with moderate severity, degrading aerodynamic efficiency. The UAV must complete the relay mission within 600 seconds while managing battery reserves, avoiding traffic, and maintaining safe separation.",Climb to 150 m AGL and proceed direct to waypoint,"Descend to 10 m AGL, slow speed to conserve battery","Divert 100 m east maintaining 80 m AGL, resume course",Hold position at 50 m AGL until obstacle passes,Accelerate west to bypass obstacle before 200 s,Descend to 25 m AGL and shift 90 m north to avoid NFZ,Turn south immediately and land at backup runway,"[""Climb to 150 m AGL and proceed direct to waypoint"", ""Descend to 10 m AGL, slow speed to conserve battery"", ""Divert 100 m east maintaining 80 m AGL, resume course"", ""Hold position at 50 m AGL until obstacle passes"", ""Accelerate west to bypass obstacle before 200 s"", ""Descend to 25 m AGL and shift 90 m north to avoid NFZ"", ""Turn south immediately and land at backup runway""]","Diverting east at 80 m AGL maintains safe separation from the moving obstacle and avoids the NFZ while staying within the allowable AGL band. It preemptively positions the UAV to avoid icing effects at 200 s by reducing exposure time. Other options either violate altitude constraints, increase collision risk, or fail to account for swarm separation during dynamic obstacles." 2025-11-01T17:53:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Search_and_Rescue_with_Hexacopter_447715d19eee_mcq.json,uavbench-mcq-v1,Desert_Search_and_Rescue_with_Hexacopter,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"Given 6.5 m/s wind from 240°, sandstorm, and 120 m max altitude, what is the optimal airspeed and altitude for maximum loiter time while maintaining control?","This is a search and rescue mission conducted in a desert environment using a hexacopter UAV equipped with RGB and thermal cameras. The operation takes place within a defined rectangular airspace bounded by geofences, with minimum and maximum altitudes of 10 and 120 meters AGL. Weather conditions include a 6.5 m/s wind from 240 degrees, gusts up to 4.2 m/s, and a sandstorm, reducing visibility and increasing environmental risk. The hexacopter has a 450 Wh battery, carries a 0.5 kg payload, and relies on GNSS, IMU, barometer, and magnetometer for navigation. A static no-fly zone is present near the center of the area, and a dynamic no-fly zone moves through the airspace, requiring real-time avoidance. The UAV must maintain a minimum separation of 25 meters from other traffic, with a time-to-closest-approach threshold of 15 seconds for collision avoidance. Communications experience two brief downlink/uplink loss windows, and signal strength must remain above -85 dBm. The flight plan follows a grid search pattern across five waypoints, with a time budget of 600 seconds and a requirement to avoid GNSS outages and battery depletion below reserve levels. The UAV spawns at (50, 50, 30) and must return to a preferred landing site unless an emergency arises. Moving obstacles, including a drifting sphere, add complexity to path planning and demand continuous situational awareness.",8 m/s at 110 m AGL to maximize lift coefficient,12 m/s at 90 m AGL to reduce induced drag,6 m/s at 120 m AGL to exploit thin-air efficiency,10 m/s at 30 m AGL to minimize wind interference,14 m/s at 100 m AGL to counteract gust momentum,7 m/s at 15 m AGL to avoid sandstorm opacity,9 m/s at 60 m AGL to balance lift-to-drag and gust tolerance,"[""8 m/s at 110 m AGL to maximize lift coefficient"", ""12 m/s at 90 m AGL to reduce induced drag"", ""6 m/s at 120 m AGL to exploit thin-air efficiency"", ""10 m/s at 30 m AGL to minimize wind interference"", ""14 m/s at 100 m AGL to counteract gust momentum"", ""7 m/s at 15 m AGL to avoid sandstorm opacity"", ""9 m/s at 60 m AGL to balance lift-to-drag and gust tolerance""]","At 60 m AGL, the UAV avoids ground effect instability and sand ingestion while staying below maximum altitude. 9 m/s balances minimum power speed for endurance with sufficient airspeed to maintain control authority in 4.2 m/s gusts. This combination optimizes lift-to-drag ratio under turbulent, low-density conditions caused by sandstorm heating and wind shear." 2025-11-01T17:53:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Ship_Deck_Delivery_with_Low_Visibility_b393464fe12c_mcq.json,uavbench-mcq-v1,Desert_Ship_Deck_Delivery_with_Low_Visibility,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"Plan a route avoiding a moving NFZ, 45s GNSS outage, and 12 m/s winds while maintaining 25 m separation from another UAV.","This is a delivery mission using an octocopter UAV in a desert environment with a ship deck as the target landing zone. The UAV is equipped with a full sensor suite including GNSS, IMU, lidar, radar, RGB and thermal cameras, and carries a 1.5 kg payload. The airspace is constrained between 10 m and 120 m AGL, with a static no-fly zone near the center and a moving no-fly cylinder drifting slowly through the area. The mission takes place during a sandstorm with poor visibility and strong, gusting winds increasing with altitude, reaching up to 12 m/s. GNSS performance is degraded due to jamming at -75 dBm and electromagnetic interference, with an expected 45-second GNSS outage during flight. A second UAV enters the airspace from the east, requiring a minimum separation of 25 m and a time-to-closest-approach threshold of 20 seconds. The UAV must navigate around a moving spherical obstacle and avoid a dynamic no-fly zone while following a corridor route through the desert. Communication is limited with intermittent downlink loss occurring in two time windows, reducing telemetry availability. The mission must be completed within 600 seconds, starting from a hover at 20 m altitude, and successfully landing at the designated site near the ship deck despite motor failure and sensor degradation risks.",Climb to 120 m for better GNSS signal and radar range,Descend to 10 m to reduce wind exposure and conserve energy,Hold position at 20 m until the second UAV passes eastbound,Divert west to bypass moving NFZ at 80 m AGL,Accelerate to complete mission before sandstorm intensifies,Land immediately on nearest flat surface due to GNSS failure,"Follow corridor at 60 m, descend to 30 m during GNSS outage","[""Climb to 120 m for better GNSS signal and radar range"", ""Descend to 10 m to reduce wind exposure and conserve energy"", ""Hold position at 20 m until the second UAV passes eastbound"", ""Divert west to bypass moving NFZ at 80 m AGL"", ""Accelerate to complete mission before sandstorm intensifies"", ""Land immediately on nearest flat surface due to GNSS failure"", ""Follow corridor at 60 m, descend to 30 m during GNSS outage""]","Flying at 60 m balances wind exposure and sensor performance while staying within the 10–120 m AGL band. Descending to 30 m during the GNSS outage reduces reliance on degraded positioning and maintains terrain clearance. This option respects separation, avoids NFZs, and completes the mission within 600 seconds." 2025-11-01T17:53:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Snowfall_Glider_Corridor_Follow_a71d372d899e_mcq.json,uavbench-mcq-v1,Desert_Snowfall_Glider_Corridor_Follow,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 200s, icing reduces performance; UAV is at (180, 140), 140m AGL. What action ensures safety and mission success?","This is a fixed-wing glider UAV conducting a corridor survey mission in a desert environment. The airspace is bounded between 10 and 150 meters AGL with a polygonal geofence and a cylindrical no-fly zone centered at (200, 150) with a 20-meter radius. The glider is equipped with a visible-light camera and standard navigation sensors but lacks lidar, radar, and thermal imaging. Weather includes snowfall, icing conditions, poor visibility, and moderate winds from the west, increasing with altitude. A significant icing fault is simulated at 200 seconds, reducing performance for one minute. The UAV must follow a linear corridor of waypoints while avoiding a moving spherical obstacle and maintaining separation from another UAV flying perpendicular through the airspace. GNSS jamming is present at -85 dBm, and electromagnetic interference may affect communications, with brief uplink/downlink losses. The mission requires a runway-aligned landing, with primary and emergency sites defined at opposite ends of the airspace. Battery reserve is set to 30%, and energy consumption is modeled with aerodynamic drag and maneuvering losses. The scenario emphasizes endurance, navigation reliability, and safe operation in adverse winter-like desert conditions.",Climb to 150m for smoother air,Descend to 110m and slow to conserve energy,Turn east to bypass NFZ at 140m,Dive to 10m AGL to avoid icing layers,Head directly to emergency runway,Maintain course and altitude through icing,"Descend to 120m, then divert to primary runway","[""Climb to 150m for smoother air"", ""Descend to 110m and slow to conserve energy"", ""Turn east to bypass NFZ at 140m"", ""Dive to 10m AGL to avoid icing layers"", ""Head directly to emergency runway"", ""Maintain course and altitude through icing"", ""Descend to 120m, then divert to primary runway""]","Descending to 120m stays within the 10–150m AGL band and reduces icing impact while preserving energy. Diverting to the primary runway aligns with landing requirements and avoids NFZ and separation conflicts. Other options violate altitude limits, increase exposure, or ignore landing alignment and energy reserves." 2025-11-01T17:53:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Snowfall_VTOL_Survey_Mission_a088f5f1f39e_mcq.json,uavbench-mcq-v1,Desert_Snowfall_VTOL_Survey_Mission,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 110 m AGL, 13.5 m/s WNW winds, and 60% battery, how should the UAV adjust for icing and moving obstacles?","This is a VTOL tiltrotor UAV survey mission in a desert environment experiencing unexpected snowfall and poor visibility. The flight occurs within a defined rectangular airspace with a maximum altitude of 120 m AGL and a minimum of 10 m AGL. Wind speeds increase with altitude, reaching 13.5 m/s at 200 m, and shift direction from 240° to 260°, creating challenging flight conditions. The UAV carries an RGB and thermal camera payload for data collection, along with LiDAR and full navigation sensors, but faces GNSS multipath and moderate jamming at -85 dBm. A static no-fly zone blocks the center of the area, while a second dynamic no-fly zone moves slowly across the airspace. The mission requires a runway takeoff and landing, with a corridor-style waypoint path covering the perimeter of the hazard zones. A single traffic UAV approaches from the southeast, and a moving spherical obstacle drifts westward at 3 m/s. An icing event occurs mid-mission, degrading performance for one minute, and communication experiences a brief 10-second downlink loss. The UAV must manage battery reserves carefully under increased drag and sensor interference to complete the survey within 600 seconds.",Climb to 120 m for smoother airflow and avoid drift obstacles,Descend to 40 m to reduce wind exposure and save power,Hold altitude and reduce speed to maintain sensor accuracy,Bank sharply to bypass dynamic no-fly zone without delay,Increase speed to exit icing zone despite higher drag,Turn southeast to intercept traffic and establish spacing,"Descend to 25 m, slow speed, and recalibrate navigation sensors","[""Climb to 120 m for smoother airflow and avoid drift obstacles"", ""Descend to 40 m to reduce wind exposure and save power"", ""Hold altitude and reduce speed to maintain sensor accuracy"", ""Bank sharply to bypass dynamic no-fly zone without delay"", ""Increase speed to exit icing zone despite higher drag"", ""Turn southeast to intercept traffic and establish spacing"", ""Descend to 25 m, slow speed, and recalibrate navigation sensors""]","Descending to 25 m reduces wind-induced drag and conserves energy while staying above minimum safe altitude. Slowing improves control during icing and allows sensor recalibration amid GNSS jamming. This balances aerodynamics, energy, safety, and navigation integrity under degraded conditions." 2025-11-01T17:55:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_HAPS_Cold_f8ba2a076520_mcq.json,uavbench-mcq-v1,Bridge_Inspection_HAPS_Cold,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,A,A,True,"During GNSS jamming and 30% battery reserve, with 50m DAA threshold, what ensures secure, stable flight in the corridor?","This is a bridge inspection mission using a high-altitude pseudo-satellite UAV in an industrial plant airspace. The UAV operates between 50 and 300 meters AGL within a defined polygonal geofence and must avoid two no-fly zones, one of which is dynamic and moving. Weather includes strong winds increasing with altitude, gusts, and icing conditions that trigger a simulated icing fault mid-mission. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, but faces GNSS multipath, mild jamming, and electromagnetic interference. It relies on battery power with a 30% reserve requirement and must manage energy carefully during its 600-second mission. The UAV follows a corridor inspection pattern with multiple waypoints and requires a runway takeoff and landing, transitioning between VTOL and fixed-wing flight. A three-UAV swarm operates cooperatively with minimum 50-meter separation, including roles for leader, follower, and scout. Traffic includes another UAV flying cross-path, and a moving spherical obstacle drifts through the airspace. The mission emphasizes detection and avoidance, with DAA thresholds set at 50 meters and 30 seconds TTC. Communication experiences brief uplink/downlink dropouts, requiring robust data handling and fault resilience.",Switch to LiDAR-aided INS with encrypted C2 link,Rely on GPS with open telemetry for position updates,Disable authentication to reduce communication latency,Use unverified scout UAV's position for navigation,Continue on last known heading with open-loop control,Transmit unencrypted video to save encryption overhead,Override altitude limits to avoid moving obstacle,"[""Switch to LiDAR-aided INS with encrypted C2 link"", ""Rely on GPS with open telemetry for position updates"", ""Disable authentication to reduce communication latency"", ""Use unverified scout UAV's position for navigation"", ""Continue on last known heading with open-loop control"", ""Transmit unencrypted video to save encryption overhead"", ""Override altitude limits to avoid moving obstacle""]","Encrypted C2 maintains command integrity during uplink dropouts, while LiDAR-aided INS provides spoofing-resistant navigation under GNSS jamming. This preserves control stability and security without violating geofence or energy constraints." 2025-11-01T17:55:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Solar_Wing_Convoy_Escort_5e8a26ef66d3_mcq.json,uavbench-mcq-v1,Desert_Solar_Wing_Convoy_Escort,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"At 300 m AGL, 12 m/s wind from 270°, and GNSS jamming, how should the UAV adjust pitch and airspeed to maintain escort position?","Solar-powered fixed-wing UAV conducts convoy escort mission in a desert environment. Flight occurs within a defined 5 km by 4 km airspace with minimum and maximum altitudes of 30 m and 600 m AGL. Persistent sandstorm conditions reduce visibility and increase environmental risk. UAV equipped with radar, RGB and thermal cameras supports surveillance and navigation in dusty conditions. Mission involves maintaining proximity to a moving ground convoy along a predefined corridor. A static no-fly zone and a dynamically moving restricted zone must be avoided. GNSS signals suffer from multipath effects and intentional jamming at -75 dBm, complicating navigation. Wind increases with altitude, shifting from 240° to 270°, and reaches 12 m/s at 300 m, affecting flight stability. Swarm operation with three UAVs requires maintaining at least 50 m separation between units. The UAV must handle GNSS jamming and a partial motor failure while operating under degraded communications.",Increase pitch to 15° and reduce airspeed to 18 m/s,Decrease pitch to 2° and increase airspeed to 28 m/s,Maintain pitch at 6° and airspeed at 22 m/s,Increase pitch to 10° and airspeed to 26 m/s,Reduce pitch to 0° and airspeed to 16 m/s,Increase pitch to 12° and hold airspeed at 20 m/s,Decrease pitch to 4° and reduce airspeed to 19 m/s,"[""Increase pitch to 15° and reduce airspeed to 18 m/s"", ""Decrease pitch to 2° and increase airspeed to 28 m/s"", ""Maintain pitch at 6° and airspeed at 22 m/s"", ""Increase pitch to 10° and airspeed to 26 m/s"", ""Reduce pitch to 0° and airspeed to 16 m/s"", ""Increase pitch to 12° and hold airspeed at 20 m/s"", ""Decrease pitch to 4° and reduce airspeed to 19 m/s""]","At 300 m, higher wind from 270° increases groundspeed from the rear; increasing airspeed to 26 m/s and pitch to 10° balances lift and thrust, maintaining station-keeping without stalling. Lower airspeeds risk stall at high angles, while insufficient pitch reduces lift in turbulent, low-density desert air." 2025-11-01T17:55:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Swarm_Coordination_Fixed-Wing_Mission_788644720b28_mcq.json,uavbench-mcq-v1,Desert_Swarm_Coordination_Fixed-Wing_Mission,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"During GNSS outage with 16 m/s winds at 120m altitude, what action maintains swarm separation and lift stability?","Fixed-wing UAV swarm conducts a coordinated desert survey mission. The operation occurs in a designated desert airspace with a static geofenced area and dynamic no-fly zones. Strong winds up to 16 m/s increase with altitude and shift direction, complicating flight control. Sandstorm conditions reduce visibility and increase environmental risk. Each UAV is equipped with RGB and thermal cameras for data collection. The swarm consists of four UAVs with defined roles: leader, follower, relay, and scout, maintaining 50-meter separation. GNSS multipath and electromagnetic interference degrade navigation accuracy. A scheduled GNSS jamming event induces a 60-second outage, testing resilience. A moving spherical obstacle and a second drifting no-fly zone require real-time avoidance. The mission demands runway-assisted takeoff and landing within strict altitude and spatial constraints.",Increase angle of attack by 3° to boost lift,Reduce airspeed to 14 m/s to conserve power,Bank 25° toward formation center for cohesion,"Descend 20 meters to denser, calmer air",Pitch up 10° to counteract wind shear,Hold heading with 5% thrust increase,Deploy flaps fully to maximize camber,"[""Increase angle of attack by 3° to boost lift"", ""Reduce airspeed to 14 m/s to conserve power"", ""Bank 25° toward formation center for cohesion"", ""Descend 20 meters to denser, calmer air"", ""Pitch up 10° to counteract wind shear"", ""Hold heading with 5% thrust increase"", ""Deploy flaps fully to maximize camber""]","Descending increases air density, improving lift and control effectiveness while reducing wind exposure. It compensates for reduced GNSS guidance by exploiting more stable lower-altitude airflow. Other options risk stall, excessive drift, or loss of separation due to mismanaged lift-drag balance." 2025-11-01T17:55:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Swarm_Mapping_Mission_d168b8e1938c_mcq.json,uavbench-mcq-v1,Desert_Swarm_Mapping_Mission,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"With 8 m/s winds from 240°, a sandstorm, and a moving NFZ, which route adjusts grid waypoints while preserving 10 m separation and 30% battery?","This is a swarm-based mapping mission conducted in a desert environment. The UAV swarm operates within a defined 500x500 meter geofenced area, with a flight altitude range of 10 to 120 meters AGL. Weather conditions include strong 8 m/s winds from 240 degrees, gusts up to 4 m/s, and an active sandstorm, reducing visibility and increasing environmental risk. The swarm consists of five octocopter drones, each equipped with RGB cameras and standard navigation sensors (GNSS, IMU, magnetometer, barometer), but no LiDAR or radar. A static no-fly zone blocks the center of the area, while a dynamic no-fly zone moves slowly through the airspace, requiring real-time avoidance. An additional moving obstacle and one intruder UAV create collision risks, demanding strict separation management. The mission requires completing a grid mapping pattern within 600 seconds, starting and ending near the spawn point. Communication experiences brief downlink outages, and GNSS signal integrity may be compromised due to sandstorm-induced multipath effects. Battery endurance is critical, with a 30% reserve required and energy use heavily influenced by wind and maneuvering. Strict inter-swarm separation of at least 10 meters and DAA thresholds ensure safe, coordinated flight.","Fly direct grid at 120 m AGL, ignore gusts","Descend to 10 m AGL, delay next waypoint","Shift grid east, increase altitude to 100 m","Maintain 60 m AGL, reduce speed by 30%","Abort mission, return to spawn immediately","Bypass NFZ west, delay rejoining by 45 s","Optimize track in wind, adjust spacing, monitor DAA","[""Fly direct grid at 120 m AGL, ignore gusts"", ""Descend to 10 m AGL, delay next waypoint"", ""Shift grid east, increase altitude to 100 m"", ""Maintain 60 m AGL, reduce speed by 30%"", ""Abort mission, return to spawn immediately"", ""Bypass NFZ west, delay rejoining by 45 s"", ""Optimize track in wind, adjust spacing, monitor DAA""]","Option G dynamically adapts path to wind direction and moving NFZ while maintaining separation and energy margins. It accounts for GNSS degradation and communication latency. Other choices either breach NFZ, waste energy, or fail timing and safety constraints." 2025-11-01T17:55:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Thermal_Soaring_HAPS_Mission_e0b720fd0b50_mcq.json,uavbench-mcq-v1,Desert_Thermal_Soaring_HAPS_Mission,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"At 2,000 m AGL with 16 m/s winds and thermal lift at (3000,4000), which action maximizes endurance while avoiding the moving no-fly zone?","High-altitude pseudo-satellite UAV conducts a desert survey mission using thermal soaring for energy efficiency. Operating between 1,000 and 3,000 meters AGL, the UAV navigates a defined polygonal airspace with strong wind shear. Winds increase with altitude from 8 m/s at ground level to 16 m/s at 2,000 meters, shifting direction from 240° to 260°. The UAV leverages two thermal updrafts—located at (3000,4000) and (7000,6000)—to extend endurance with lift of up to 3.0 m/s. Equipped with radar, RGB, and thermal cameras, it performs corridor-style surveying across five waypoints. A dynamic no-fly zone moves through the airspace at 2.5 m/s, requiring real-time replanning to avoid conflict. Lightning risk introduces intermittent faults at 450 seconds, affecting systems with 70% severity for one minute. EM interference and brief comms dropouts at 200s and 650s challenge data integrity and command reliability. A three-UAV swarm maintains 100-meter minimum separation, coordinating roles of leader, follower, and scout. GNSS operates without multipath issues but faces weak signal jamming at -90 dBm, demanding robust navigation fallbacks.","Climb to 3,000 m using strongest winds for faster transit",Circle continuously at first thermal to conserve energy,"Descend to 1,000 m to reduce wind-induced navigation errors","Proceed directly to (7000,6000) riding wind shear for lift",Reduce camera payload power and optimize path between thermals,Increase speed to exit lightning risk zone before 450 s mark,Transmit full sensor data continuously via high-bandwidth link,"[""Climb to 3,000 m using strongest winds for faster transit"", ""Circle continuously at first thermal to conserve energy"", ""Descend to 1,000 m to reduce wind-induced navigation errors"", ""Proceed directly to (7000,6000) riding wind shear for lift"", ""Reduce camera payload power and optimize path between thermals"", ""Increase speed to exit lightning risk zone before 450 s mark"", ""Transmit full sensor data continuously via high-bandwidth link""]","Reducing payload power saves energy for prolonged endurance, while optimizing the thermal-to-thermal path balances wind assistance and lift availability. This approach minimizes propulsion load and avoids unnecessary climbs or data transmission surges, ensuring mission continuity through lightning and comms dropouts." 2025-11-01T17:55:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Tower_Spiral_Inspection_under_Icing_Conditions_32f9e52dc8f9_mcq.json,uavbench-mcq-v1,Desert_Tower_Spiral_Inspection_under_Icing_Conditions,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"During icing at 60s with 40% performance loss and GNSS multipath near the structure, which sensor strategy maintains position integrity?","This is an inspection mission using a quadrotor UAV equipped with RGB and thermal cameras, as well as LiDAR, in a desert environment. The UAV operates within a defined polygonal airspace with a maximum altitude of 120 meters AGL and must avoid a cylindrical no-fly zone centered at (100, 75) with a 15-meter radius. The mission involves spiraling around a structure located near the center of the no-fly zone, ascending and descending between 30 and 90 meters altitude. Weather conditions include moderate winds from 240 degrees at 6 m/s with gusts up to 3.5 m/s and poor visibility due to icing conditions. The UAV is subject to an icing event fault lasting 60 seconds, reducing performance by 40% severity midway through the flight. It must also maintain separation from a moving obstacle and another UAV traffic agent traveling westward at 8 m/s. Communication experiences two brief downlink loss windows, and GNSS signals may suffer multipath effects near structures. Battery reserves are set at 30%, and energy consumption is impacted by drag and maneuvering in wind. The UAV must complete the inspection within 600 seconds and return safely to its takeoff point despite environmental and system challenges. Success depends on avoiding collisions, maintaining airspace compliance, and managing degraded flight performance due to icing.",Prioritize GNSS despite multipath errors,Switch entirely to LiDAR in poor visibility,Rely on IMU-only during communication loss,Fuse visual odometry with IMU and barometer,Use thermal gradients for altitude hold,Depend on pre-mission GPS waypoints,Trust LiDAR-ground clearance in wind gusts,"[""Prioritize GNSS despite multipath errors"", ""Switch entirely to LiDAR in poor visibility"", ""Rely on IMU-only during communication loss"", ""Fuse visual odometry with IMU and barometer"", ""Use thermal gradients for altitude hold"", ""Depend on pre-mission GPS waypoints"", ""Trust LiDAR-ground clearance in wind gusts""]","Visual odometry compensates for GNSS multipath and IMU drift, while barometric pressure aids altitude stability in icing. Fusing these with IMU maintains position accuracy despite degraded performance and environmental noise. Other options fail due to sensor limitations under icing, visibility, or dynamic conditions." 2025-11-01T17:55:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Tower_Spiral_Inspection_with_Glider_64920e3ae6a5_mcq.json,uavbench-mcq-v1,Desert_Tower_Spiral_Inspection_with_Glider,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"Given GNSS jamming at -95 dBm, 8 m/s winds, and fog, which navigation strategy maintains spiral accuracy around the tower within 600 seconds?","This mission involves a glider-type UAV conducting a spiral inspection of a desert-based tower structure. The operation takes place in a designated desert airspace with a maximum altitude of 400 meters AGL and includes a cylindrical no-fly zone around the tower. Weather conditions feature moderate winds at 8 m/s from 240 degrees, increasing with altitude, along with gusts and poor visibility due to fog. The UAV is equipped with a multi-sensor payload including RGB and thermal cameras, LiDAR, and standard navigation sensors. Key constraints include GNSS signal degradation from multipath effects and electromagnetic interference, as well as a jamming signal at -95 dBm. The UAV must maintain separation from a moving obstacle near the tower and avoid conflict with another UAV traffic agent approaching from the west. The flight profile includes climbing in a spiral pattern around the tower while staying within geofenced boundaries and adhering to a 600-second time budget. Battery endurance is critical, with a reserve margin set at 20% to ensure safe return. The mission requires a runway-aligned takeoff and landing, with primary and emergency landing zones defined. Success depends on precise navigation, energy management, and adherence to separation and airspace rules despite environmental challenges.",Rely solely on GNSS with Kalman smoothing,Use LiDAR SLAM fused with IMU during fog,Switch to pure magnetic heading stabilization,Increase spiral radius to reduce wind drift,Descend to improve GNSS signal clarity,Depend on visual odometry in low visibility,Prioritize thermal-camera-based ground tracking,"[""Rely solely on GNSS with Kalman smoothing"", ""Use LiDAR SLAM fused with IMU during fog"", ""Switch to pure magnetic heading stabilization"", ""Increase spiral radius to reduce wind drift"", ""Descend to improve GNSS signal clarity"", ""Depend on visual odometry in low visibility"", ""Prioritize thermal-camera-based ground tracking""]","LiDAR SLAM provides high spatial accuracy and is immune to GNSS jamming and magnetic interference. Fused with IMU, it maintains pose estimation during fog when visual sensors degrade. This combination ensures reliable spiral tracking near the tower despite environmental and signal constraints." 2025-11-01T17:55:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Tower_Spiral_Inspection_with_Helicopter_UAV_762bb94c8ae2_mcq.json,uavbench-mcq-v1,Desert_Tower_Spiral_Inspection_with_Helicopter_UAV,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,"Which UAV configuration best ensures navigation resilience and sensor operation under GNSS jamming, icing, and sandstorm at 6.5 m/s wind?","The mission is an inspection of a desert tower using a helicopter UAV in a designated desert airspace. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, powered by a 1200 Wh battery. Weather conditions include moderate winds at 6.5 m/s from 240 degrees, increasing with altitude, along with gusts, sandstorm conditions, and temperature extremes. The UAV must perform a spiral inspection pattern around the tower while avoiding a static no-fly zone centered at (250, 250) and a moving no-fly zone drifting at 1.5 m/s in the x-direction and -1 m/s in the y-direction. Additional hazards include GNSS multipath, electromagnetic interference, and periodic communication loss. The flight is constrained by a maximum altitude of 120 m AGL and a minimum of 5 m, with geofencing around a 500x500 m area. The UAV must maintain separation from traffic and a moving spherical obstacle, with DAA thresholds set at 25 m and 15 s TTC. Two faults are introduced: an icing event at 300 seconds affecting flight performance and a severe GNSS jam at 450 seconds. The mission emphasizes navigation resilience, sensor data collection, and safe operation under adverse environmental and system challenges.",Redundant IMU with vision-aided navigation and thermal-aware battery management,Single IMU with standard GPS and maximum sensor payload,LiDAR-only navigation with fixed camera orientation,High-gain GNSS antenna without inertial backup,Optical flow navigation relying on RGB cameras in sandstorm,Pre-programmed spiral path ignoring dynamic obstacles,External RTK correction without local sensor fusion,"[""Redundant IMU with vision-aided navigation and thermal-aware battery management"", ""Single IMU with standard GPS and maximum sensor payload"", ""LiDAR-only navigation with fixed camera orientation"", ""High-gain GNSS antenna without inertial backup"", ""Optical flow navigation relying on RGB cameras in sandstorm"", ""Pre-programmed spiral path ignoring dynamic obstacles"", ""External RTK correction without local sensor fusion""]","Option A provides fault-tolerant navigation through sensor fusion, maintaining accuracy during GNSS jamming and icing. It adapts to environmental stress with thermal and vision systems. Other options fail under at least one critical condition: GNSS reliance, sensor limitation, or lack of redundancy." 2025-11-01T17:55:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Disaster_Recon_Glider_Mission_in_Rural_Hot_Conditions_249819b8c64a_mcq.json,uavbench-mcq-v1,Disaster_Recon_Glider_Mission_in_Rural_Hot_Conditions,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 600-second mission time, strong winds, and thermal updrafts, what strategy maximizes search coverage and ensures return within battery limits?","This is a search and rescue mission using a battery-powered glider UAV in rural airspace. The aircraft is equipped with RGB and thermal cameras for payload, supporting disaster reconnaissance. The environment features strong winds increasing with altitude, gusts, and thermal updrafts that can aid glider performance. The mission operates within a defined polygonal geofence with a minimum altitude of 50 m AGL and a maximum of 600 m AGL. A static no-fly zone and a moving no-fly zone restrict flight paths, requiring real-time avoidance. Another UAV and a moving spherical obstacle introduce traffic separation challenges. GNSS signals are strong with no multipath or jamming issues, ensuring reliable navigation. The glider must complete a corridor search pattern within a 600-second time budget and return to a designated runway for landing. Communication includes brief uplink/downlink loss windows, but overall link quality remains sufficient.",Climb continuously to 600 m for maximum wind advantage,Fly constant 50 m AGL to minimize altitude changes,Use thermals to extend loiter time without power,Operate both cameras at highest resolution throughout,Circle in gusty zones to gain kinetic energy,Increase comms transmission rate during uplink loss,Shorten search legs to prioritize early return,"[""Climb continuously to 600 m for maximum wind advantage"", ""Fly constant 50 m AGL to minimize altitude changes"", ""Use thermals to extend loiter time without power"", ""Operate both cameras at highest resolution throughout"", ""Circle in gusty zones to gain kinetic energy"", ""Increase comms transmission rate during uplink loss"", ""Shorten search legs to prioritize early return""]","Exploiting thermal updrafts allows energy-neutral altitude gain, preserving battery for critical maneuvers and extending effective mission time. This maximizes search coverage within the 600-second limit while ensuring safe return. Other options either increase power use or miss energy-saving opportunities." 2025-11-01T17:55:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Disaster_Recon_Helicopter_Mission_at_Airport_Perimeter_3220a912d01a_mcq.json,uavbench-mcq-v1,Disaster_Recon_Helicopter_Mission_at_Airport_Perimeter,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,A UAV must cross a no-fly zone while avoiding a westward-moving obstacle and maintaining 25 m separation during a 15-second comms blackout.,"This is a search and rescue mission using a fuel-powered helicopter UAV near an airport perimeter. The UAV operates within a defined rectangular airspace bounded by a geofence, with a minimum altitude of 10 meters and a maximum of 120 meters AGL. Weather conditions include a 6 m/s wind from 240 degrees, gusts up to 3.5 m/s, and poor visibility due to dust. The helicopter carries a 5 kg payload equipped with RGB and thermal cameras, supported by radar for navigation and detection. A no-fly zone cylinder is located near the center of the airspace, requiring careful path planning to maintain separation. The UAV must avoid a moving spherical obstacle traveling westward and maintain a minimum separation of 25 meters from other traffic. GNSS signals may experience multipath effects near airport infrastructure, and communication experiences a brief loss window between 120 and 135 seconds. The mission requires completion within 600 seconds, following a corridor pattern across five waypoints. The UAV must return safely to its preferred landing site or an emergency site if needed, while avoiding runway interference and adhering to altitude and geofence constraints.",Adjust path 30 m north to avoid obstacle and no-fly zone with altitude hold at 110 m,Descend to 15 m AGL to reduce wind impact and thermal noise during comms loss,Accelerate through no-fly zone center to minimize exposure time to moving obstacle,Hover for 20 seconds to wait for comms restoration and obstacle passage,Climb to 120 m AGL for better GNSS signal and obstacle detection range,Follow obstacle’s westward trajectory to exploit radar Doppler filtering,Shift east 40 m and reduce speed to align with corridor pattern post-blackout,"[""Adjust path 30 m north to avoid obstacle and no-fly zone with altitude hold at 110 m"", ""Descend to 15 m AGL to reduce wind impact and thermal noise during comms loss"", ""Accelerate through no-fly zone center to minimize exposure time to moving obstacle"", ""Hover for 20 seconds to wait for comms restoration and obstacle passage"", ""Climb to 120 m AGL for better GNSS signal and obstacle detection range"", ""Follow obstacle’s westward trajectory to exploit radar Doppler filtering"", ""Shift east 40 m and reduce speed to align with corridor pattern post-blackout""]",G maintains safe lateral separation from both the no-fly zone and moving obstacle while preserving mission timing. It avoids GNSS multipath risks near airport structures by not climbing excessively. The speed reduction ensures re-synchronization with the corridor pattern after the comms blackout without violating the 600-second mission limit. 2025-11-01T17:55:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Disaster_Recon_in_Jungle_with_Heavy_Lift_UAV_6d8bb2c50982_mcq.json,uavbench-mcq-v1,Disaster_Recon_in_Jungle_with_Heavy_Lift_UAV,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"UAV must complete corridor route in 600 s, avoid 0.58 m/s drifting NFZ, maintain 10–120 m AGL, and return to (50, 50, 30) with 30% battery reserve.","This is a search and rescue mission in a dense jungle environment using a heavy-lift UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The UAV operates within a defined rectangular airspace, avoiding static and moving no-fly zones, including a dynamic cylindrical exclusion zone drifting at 0.58 m/s. Weather conditions include moderate wind from 210 degrees at 7.2 m/s with gusts up to 4.1 m/s, poor visibility, and a risk of lightning. The UAV must complete a corridor-style waypoint route within 600 seconds, maintaining altitudes between 10 and 120 meters AGL. Key constraints include a 25-meter separation minimum from other air traffic and a 15-second time-to-close threshold for collision avoidance. The UAV has a high drag payload of 5 kg and relies solely on battery power, requiring careful energy management with a 30% reserve. Communication includes two brief downlink loss windows, but GNSS and control links are otherwise functional. The mission begins at (50, 50, 30) meters with a northward heading and aims to return to the same point for landing. A second UAV and a moving spherical obstacle add complexity to real-time navigation and separation compliance.",Climb to 120 m AGL for better GNSS lock and thermal coverage,Descend to 10 m AGL to minimize wind exposure in jungle canopy,Divert early around drifting NFZ maintaining 25 m separation and 110 m AGL,Fly direct through NFZ center to save time and preserve battery,Delay mission until lightning risk passes and visibility improves,Reduce speed below 3 m/s near obstacle to extend downlink usage,Land at alternate site to avoid second UAV's return path conflict,"[""Climb to 120 m AGL for better GNSS lock and thermal coverage"", ""Descend to 10 m AGL to minimize wind exposure in jungle canopy"", ""Divert early around drifting NFZ maintaining 25 m separation and 110 m AGL"", ""Fly direct through NFZ center to save time and preserve battery"", ""Delay mission until lightning risk passes and visibility improves"", ""Reduce speed below 3 m/s near obstacle to extend downlink usage"", ""Land at alternate site to avoid second UAV's return path conflict""]","Option C balances NFZ avoidance, separation, and altitude compliance while preserving energy and timeline. It proactively mitigates collision risk with the drifting exclusion zone. All other options violate separation, NFZ, endurance, or return constraints." 2025-11-01T17:55:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Disaster_Recon_in_Wind_Farm_under_Cold_Temperature_Extremes_930b8f04e2d2_mcq.json,uavbench-mcq-v1,Disaster_Recon_in_Wind_Farm_under_Cold_Temperature_Extremes,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 180s, icing reduces lift; wind is 13.5 m/s at 100m with 4 m/s gusts. Which action maintains stability and positioning?","Disaster reconnaissance mission using a battery-powered quadrotor UAV equipped with RGB and thermal cameras, LiDAR, and full suite of navigation sensors. Flight occurs within a wind farm environment bounded by a 1000m x 800m geofenced polygon, with minimum and maximum altitudes of 10m and 120m AGL. Weather includes strong westerly winds up to 13.5 m/s at 100m altitude, gusts of 4 m/s, and hazardous icing conditions that temporarily reduce performance. The UAV must navigate around a static no-fly zone near the center and avoid a moving no-fly cylinder drifting northeast at 2.5 m/s. Additional hazards include GNSS signal multipath, electromagnetic interference, and brief communication outages between 100–110s and 450–465s. A thermal updraft is present near (800, 600), potentially affecting flight dynamics, while wind speed and direction increase with altitude. The mission follows a corridor search pattern across five waypoints to locate targets, with a strict 600-second time limit. Separation monitoring is active with a 25m threshold and 15-second time-to-close alert for collision avoidance. An icing fault event occurs at 180 seconds, degrading UAV performance for one minute with reduced lift and increased drag. Primary constraints include battery endurance, sensor reliability under cold conditions, dynamic obstacle avoidance, and maintaining GNSS positioning accuracy.",Increase altitude to leverage stronger GNSS signals,Rely solely on thermal camera for navigation during icing,"Switch to IMU-LiDAR-visual fusion, reduce airspeed",Descend to 10m to escape wind gusts and icing,Maintain current altitude using only GNSS and barometer,Use GPS-based corridor tracking with fixed throttle,Follow thermal updraft to gain altitude and conserve power,"[""Increase altitude to leverage stronger GNSS signals"", ""Rely solely on thermal camera for navigation during icing"", ""Switch to IMU-LiDAR-visual fusion, reduce airspeed"", ""Descend to 10m to escape wind gusts and icing"", ""Maintain current altitude using only GNSS and barometer"", ""Use GPS-based corridor tracking with fixed throttle"", ""Follow thermal updraft to gain altitude and conserve power""]",IMU-LiDAR-visual fusion ensures position integrity during GNSS outages and icing-induced drift. Reducing airspeed minimizes aerodynamic stress under reduced lift. This strategy maintains navigation accuracy and stability despite sensor degradation and environmental hazards. 2025-11-01T17:55:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Helicopter_Hover_Inspection_with_Lightning_Risk_29cebcf554dd_mcq.json,uavbench-mcq-v1,Coastal_Helicopter_Hover_Inspection_with_Lightning_Risk,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,C,C,True,"At 205s, GNSS jamming begins with 8.5 m/s winds and radar detecting moving obstacles. Which navigation strategy is optimal?","This is a coastal inspection mission using a single battery-powered helicopter UAV equipped with RGB and thermal cameras, radar, and standard navigation sensors. The UAV operates within a defined polygonal airspace bounded between 10 and 120 meters AGL, featuring a cylindrical no-fly zone centered at (200, 150) with a 30-meter radius. The mission involves navigating a series of waypoints followed by an orbital loiter pattern with a 15-meter radius, requiring precise hover and maneuvering capabilities. Weather conditions include a 8.5 m/s wind from 240 degrees with gusts up to 4 m/s and a significant lightning risk, which is further modeled as a transient fault at 400 seconds. A GNSS jamming event lasting 30 seconds occurs at 200 seconds, challenging navigation reliability, especially given potential multipath effects near coastal structures. The UAV must maintain separation from a moving spherical obstacle traveling west at 2 m/s and an intruder UAV moving south at 12 m/s. Communication experiences a brief uplink/downlink loss window between 199 and 230 seconds, testing data resilience. Lightning risk and GNSS faults require robust contingency handling, while radar and sensor fusion may help mitigate environmental uncertainties. The UAV begins at (50, 50, 40) meters and aims to return to the same point for landing, with an emergency site available at (350, 250). Mission success depends on completing the inspection within 600 seconds while avoiding collisions, geofence breaches, and maintaining safe separation thresholds.",Switch entirely to GPS until jamming ends,Rely solely on IMU for drift-free navigation,Fuse radar and visual odometry with IMU,Disable sensors to reduce computational load,Use magnetic heading during GNSS outage,Follow preset waypoints using barometer only,Hover using optical flow in strong winds,"[""Switch entirely to GPS until jamming ends"", ""Rely solely on IMU for drift-free navigation"", ""Fuse radar and visual odometry with IMU"", ""Disable sensors to reduce computational load"", ""Use magnetic heading during GNSS outage"", ""Follow preset waypoints using barometer only"", ""Hover using optical flow in strong winds""]","GNSS jamming invalidates GPS, while IMU alone drifts over time. Radar and visual odometry provide external updates, fusing with IMU maintains accuracy despite wind and multipath. This strategy preserves localization integrity and obstacle awareness under environmental stress." 2025-11-01T17:55:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Disaster_Reconnaissance_in_Rural_Area_c1341c12e5b5_mcq.json,uavbench-mcq-v1,Disaster_Reconnaissance_in_Rural_Area,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"At 60 m altitude, 6 m/s wind from 135°, and 2 m/s leftward obstacle drift, which maneuver minimizes drag while maintaining control?","This is a disaster reconnaissance mission in a rural area using a heavy-lift multirotor UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The UAV operates within a defined polygonal airspace bounded between 30 and 120 meters AGL. A cylindrical no-fly zone centered at (400, 300) with a 50-meter radius restricts access between 30 and 90 meters altitude. The weather features moderate winds at 6 m/s from 135 degrees, with gusts up to 3.5 m/s, but visibility is good. The UAV follows a corridor search pattern across five waypoints at 60 meters altitude, with a final approach to 45 meters near the center. A second UAV is present, flying westward at 15 m/s, requiring separation monitoring. A moving spherical obstacle drifts leftward at 2 m/s near (500, 200, 65), adding dynamic collision risk. Communication experiences brief downlink losses between 200–210 and 500–515 seconds. The DAA system enforces a 25-meter separation and 15-second time-to-closest-approach threshold. The mission must complete within 600 seconds while avoiding geofence breaches, collisions, and critical battery depletion.",Increase pitch by 15° to climb rapidly,Reduce throttle and descend below 30 m,Bank left 30° maintaining current altitude,Fly downwind with 135° yaw alignment,Hold hover with full lateral translation,Adjust heading to 315° at same airspeed,Pitch down 5° and accelerate to 8 m/s,"[""Increase pitch by 15° to climb rapidly"", ""Reduce throttle and descend below 30 m"", ""Bank left 30° maintaining current altitude"", ""Fly downwind with 135° yaw alignment"", ""Hold hover with full lateral translation"", ""Adjust heading to 315° at same airspeed"", ""Pitch down 5° and accelerate to 8 m/s""]","Flying into the wind (heading 315°) increases relative airflow over rotors, enhancing lift efficiency and control authority without increasing power. This counters drift from the leftward obstacle and wind from 135° while minimizing induced drag. Other options either exceed geofence limits, increase collision risk, or disrupt lift-thrust equilibrium." 2025-11-01T17:55:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/DustyPowerlineInspection_c6b638eebaaf_mcq.json,uavbench-mcq-v1,DustyPowerlineInspection,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,D,False,"With 1200 Wh battery, 30% reserve, and 8 m/s winds, which strategy maximizes inspection completion while ensuring return?","This is a powerline inspection mission using a convertiplane UAV equipped with RGB and thermal cameras, LIDAR, and standard navigation sensors. The flight occurs in a designated powerline corridor with a confined rectangular geofenced airspace. Weather conditions include strong 8 m/s winds from 240 degrees, gusts up to 4.5 m/s, and poor visibility due to dust, reducing sensor effectiveness. The UAV must maintain altitudes between 10 and 120 meters AGL while avoiding two no-fly zones, one static and one dynamic moving diagonally across the area. A moving spherical obstacle travels through the corridor, requiring real-time avoidance. The mission requires the UAV to follow a predefined inspection route with five waypoints and return for a runway-assisted landing. Battery capacity is limited to 1200 Wh with a 30% reserve, constraining flight time and speed. GNSS signals may experience multipath effects near powerline structures, and brief communication losses are expected at specific times. Traffic includes another UAV crossing the airspace at constant speed, necessitating separation monitoring. The UAV must maintain a minimum separation of 25 meters from other traffic and obstacles, with mission success dependent on compliance with all constraints.",Fly at max speed to finish early and conserve energy,Use thermal-only mode to reduce payload power consumption,Climb to 120 m AGL for better GNSS and visibility,Disable LIDAR and use waypoint shortcuts to save power,Hover at each waypoint for full sensor suite operation,Follow route exactly with RGB and LIDAR at full resolution,Descend to 10 m AGL and slow speed to minimize drag,"[""Fly at max speed to finish early and conserve energy"", ""Use thermal-only mode to reduce payload power consumption"", ""Climb to 120 m AGL for better GNSS and visibility"", ""Disable LIDAR and use waypoint shortcuts to save power"", ""Hover at each waypoint for full sensor suite operation"", ""Follow route exactly with RGB and LIDAR at full resolution"", ""Descend to 10 m AGL and slow speed to minimize drag""]","Disabling LIDAR reduces power draw significantly while RGB-only inspection still meets minimum requirements. Shortening the path saves energy and time, preserving margin for wind and avoidance. This balances sensor utility, energy use, and ensures return within the 840 Wh operational limit." 2025-11-01T17:55:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Dusty_Powerline_Inspection_with_Convertiplane_88072a72ab14_mcq.json,uavbench-mcq-v1,Dusty_Powerline_Inspection_with_Convertiplane,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"Convertiplane UAV inspects powerlines at 30% battery reserve, 4.2 m/s gusts, partial GNSS jamming. Maximize coverage while ensuring return.","This scenario involves a convertiplane UAV conducting a powerline inspection mission in a designated corridor. The operation takes place in a confined airspace with a static no-fly zone and a moving no-fly zone that drifts laterally. Winds are moderate to strong, increasing with altitude, and come from the southwest, with gusts up to 4.2 m/s. Poor visibility due to dust and active GNSS multipath degrade navigation reliability. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, but operates under electromagnetic interference and partial GNSS jamming. It must maintain separation from a moving obstacle and an intruder UAV while navigating within strict altitude and geofence limits. The mission requires a runway approach for landing and includes brief communication dropouts. The convertiplane must manage energy carefully, transitioning between hover and forward flight, with a 30% battery reserve required. Success depends on avoiding collisions, maintaining DAA thresholds, and completing the waypoint corridor within the time and battery limits.","Fly highest corridor edge to avoid dust, full sensor suite active","Descend into dust, disable LiDAR, increase speed to save time","Hover-scan each tower, dual cameras, full thermal resolution","Reduce altitude, disable RGB, stream thermal at 10 Mbps continuously","Transition early to forward flight, sensors cycled, use terrain alignment","Circle each waypoint, maintain max comms bandwidth, full payload","Climb steadily, use GNSS-only navigation, LiDAR on high pulse rate","[""Fly highest corridor edge to avoid dust, full sensor suite active"", ""Descend into dust, disable LiDAR, increase speed to save time"", ""Hover-scan each tower, dual cameras, full thermal resolution"", ""Reduce altitude, disable RGB, stream thermal at 10 Mbps continuously"", ""Transition early to forward flight, sensors cycled, use terrain alignment"", ""Circle each waypoint, maintain max comms bandwidth, full payload"", ""Climb steadily, use GNSS-only navigation, LiDAR on high pulse rate""]","Early transition to forward flight reduces hover power draw, which is critical under gust loads. Cycling sensors balances data collection with energy savings, while terrain alignment compensates for GNSS degradation. This maximizes mission coverage within battery limits and ensures safe return with 30% reserve." 2025-11-01T17:55:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_at_Bridge_Site_During_Sandstorm_dc558a897792_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_at_Bridge_Site_During_Sandstorm,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"UAV must deliver medical payload near bridge with 8 m/s winds, sandstorm, and another UAV crossing perpendicularly. How should coordination prioritize flight?","Helicopter UAV performs emergency medical delivery near a bridge site. Mission takes place in a constrained airspace with a rectangular geofence. A static no-fly zone cylinder blocks the central area, and a moving no-fly zone drifts slowly. A sandstorm reduces visibility and increases environmental risk. Winds blow at 8 m/s from 210 degrees with gusts up to 4 m/s. The UAV carries a 3 kg medical payload with RGB and thermal cameras for navigation and delivery verification. Lidar is used for obstacle avoidance, but GNSS may suffer multipath near structures. Another UAV crosses the airspace on a perpendicular path, requiring separation monitoring. A moving spherical obstacle drifts through the flight corridor, demanding real-time avoidance. Communication experiences two brief signal loss windows, and battery reserve is set to 30%.",Ascend to 120m for clearer GNSS and avoid sandstorm layer,Delay takeoff until the moving no-fly zone passes the corridor,Maintain 50m separation from other UAV using lidar-only tracking,Share thermal feed with other UAV to improve situational awareness,Cut across central cylinder zone to reduce delivery time by 40 seconds,Rely on GNSS near bridge due to RGB camera clarity in sandstorm,Descend to 30m to escape wind gusts despite reduced obstacle visibility,"[""Ascend to 120m for clearer GNSS and avoid sandstorm layer"", ""Delay takeoff until the moving no-fly zone passes the corridor"", ""Maintain 50m separation from other UAV using lidar-only tracking"", ""Share thermal feed with other UAV to improve situational awareness"", ""Cut across central cylinder zone to reduce delivery time by 40 seconds"", ""Rely on GNSS near bridge due to RGB camera clarity in sandstorm"", ""Descend to 30m to escape wind gusts despite reduced obstacle visibility""]","Sharing thermal data enhances inter-agent situational awareness, enabling cooperative avoidance of the drifting obstacle and moving no-fly zone. It preserves communication efficiency during signal loss windows and aligns with payload verification needs. Other options risk GNSS multipath, violate separation logic, or compromise safety margins." 2025-11-01T17:55:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_by_Glider_in_Cold_Wind_Farm_5204c76fc9a2_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_by_Glider_in_Cold_Wind_Farm,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 240s, icing reduces performance by 60% while 8–12 m/s winds push toward a turbine at (500, 400). What action prioritizes safety and mission integrity?","This scenario involves an emergency medical delivery mission using a fixed-wing glider UAV in a wind farm environment. The flight occurs within a defined airspace bounded by a polygonal geofence, with altitude restricted between 30 and 180 meters AGL. Weather conditions include strong westerly winds of 8 m/s at ground level, increasing to 12 m/s at 100 meters, with gusts up to 4 m/s and the presence of icing conditions. The glider is equipped with a battery-powered propulsion system, carries a 1 kg medical payload, and is fitted with RGB and thermal cameras for situational awareness. Key constraints include a static no-fly zone around a turbine at (500, 400) and a moving no-fly zone drifting southwest at (700, 200). Additional hazards include GNSS multipath interference, electromagnetic interference, and a temporary comms loss window at 180 and 420 seconds. The UAV must avoid collisions with a moving spherical obstacle and a traffic UAV flying west at 15 m/s. An icing fault is simulated from 240 to 360 seconds, reducing aerodynamic performance by 60%. The mission requires completing a corridor-style waypoint route within 600 seconds while maintaining separation, battery reserves, and avoiding airspace violations.",Descend to 30m AGL to reduce wind exposure,Divert east to avoid turbine and icing zone,Continue current heading to maintain schedule,Climb to 180m to escape turbulence,Power through icing to deliver medical payload,Turn southwest toward moving no-fly zone for shelter,Abort mission and land in nearest clear zone,"[""Descend to 30m AGL to reduce wind exposure"", ""Divert east to avoid turbine and icing zone"", ""Continue current heading to maintain schedule"", ""Climb to 180m to escape turbulence"", ""Power through icing to deliver medical payload"", ""Turn southwest toward moving no-fly zone for shelter"", ""Abort mission and land in nearest clear zone""]","Diverting east avoids the turbine, complies with geofence and obstacle avoidance, and reduces risk from degraded performance due to icing. Continuing (C, E) or climbing (D) increases collision risk; descending (A) or entering no-fly zones (F) violates altitude or spatial constraints. Aborting (G) is safe but premature without confirmed failure. B balances safety, legality, and mission continuity." 2025-11-01T17:55:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_by_Glider_in_Mountainous_Terrain_with_Lightning_Risk_be816f767100_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_by_Glider_in_Mountainous_Terrain_with_Lightning_Risk,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During GNSS jamming in strong winds (13.5 m/s), how should the UAV maintain navigation integrity within the 50–450 m AGL corridor?","This is an emergency medical delivery mission using a fixed-wing glider UAV in mountainous terrain. The flight occurs within a defined airspace corridor between 50 and 450 meters AGL, bounded by a polygon geofence. Strong winds up to 13.5 m/s increase with altitude and shift direction, creating challenging flight conditions. The glider carries a 1 kg medical payload and is equipped with RGB and thermal cameras for navigation and situational awareness. Key environmental risks include lightning, GNSS multipath, electromagnetic interference, and temporary GNSS jamming. A static no-fly zone and a moving no-fly cylinder must be avoided along the route. The mission must be completed within 600 seconds, passing through four waypoints before landing at a preferred site. A second UAV and a moving spherical obstacle introduce traffic separation requirements with a 50-meter minimum separation threshold. Battery reserve is set to 30%, and communication dropouts are expected during two short time windows.",Rely solely on encrypted GNSS with anti-jam antenna,Switch to camera-aided inertial navigation with terrain matching,Descend immediately to 50 m AGL using barometric hold,Transmit unencrypted position updates every 2 seconds,Use thermal camera to follow moving spherical obstacle,Lock controls and await reacquisition of GNSS signal,Override geofence to fly direct under visual guidance,"[""Rely solely on encrypted GNSS with anti-jam antenna"", ""Switch to camera-aided inertial navigation with terrain matching"", ""Descend immediately to 50 m AGL using barometric hold"", ""Transmit unencrypted position updates every 2 seconds"", ""Use thermal camera to follow moving spherical obstacle"", ""Lock controls and await reacquisition of GNSS signal"", ""Override geofence to fly direct under visual guidance""]","Camera-aided inertial navigation preserves integrity during GNSS jamming by fusing trusted sensor data, maintaining control stability. It avoids reliance on compromised signals while respecting geofence and altitude constraints. Other options either increase vulnerability or degrade safety under cyber-physical threats." 2025-11-01T17:56:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Ship_Deck_Delivery_in_Snowy_Wind_Farm_62c76d00361e_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Ship_Deck_Delivery_in_Snowy_Wind_Farm,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 240s, UAV faces 1-min icing, 250s comms dropout, and 500m separation from another UAV. Optimal action?","Amphibious UAV delivery mission in a coastal wind farm with snowy conditions and icing risks. Flight occurs in a constrained airspace with static and moving no-fly zones near operational turbines. Moderate to strong winds increase with altitude, shifting direction and creating turbulence. The UAV is a hybrid VTOL with fixed-wing efficiency, carrying a 1.2 kg delivery payload. Equipped with GNSS, IMU, LiDAR, and RGB camera, but faces GNSS multipath and jamming. Mission requires navigating a corridor of four waypoints and landing on a designated ship-like deck. Dynamic obstacles and another UAV in transit demand strict separation and DAA compliance. Icing conditions are expected mid-mission, reducing aerodynamic performance for one minute. Communication dropouts occur briefly at 250 and 500 seconds into the flight. Battery reserves must account for wind, icing, and extended hover-to-forward-flight transitions.",Climb to 60m AGL for smoother winds,Maintain 45m AGL and speed at 15m/s,Descend to 30m AGL to reduce icing impact,Accelerate to 20m/s to exit icing early,Divert to nearest runway avoiding turbines,Hover at current position until comms restore,Turn back to origin crossing moving NFZ,"[""Climb to 60m AGL for smoother winds"", ""Maintain 45m AGL and speed at 15m/s"", ""Descend to 30m AGL to reduce icing impact"", ""Accelerate to 20m/s to exit icing early"", ""Divert to nearest runway avoiding turbines"", ""Hover at current position until comms restore"", ""Turn back to origin crossing moving NFZ""]","Descending to 30m AGL reduces exposure to stronger winds and icing severity while staying above ground effect and below turbine zone. It preserves battery, avoids NFZs, and maintains separation. Other options increase risk via higher energy use, NFZ violation, or extended exposure." 2025-11-01T17:56:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Wind_Farm_under_Icing_Conditions_129c535298e9_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Wind_Farm_under_Icing_Conditions,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,B,B,True,"During GNSS jamming and radar spoofing at 100m with 13.5 m/s winds, which action ensures control and data integrity?","This mission involves a bridge inspection within a wind farm using a convertiplane UAV equipped with RGB and thermal cameras, LiDAR, and radar. The flight occurs in designated airspace bounded by a polygon geofence, with a minimum altitude of 10 meters AGL and a maximum of 150 meters. Icing conditions are present, and a simulated icing event occurs mid-mission, affecting aerodynamic performance. Winds increase with altitude, reaching up to 13.5 m/s from 260 degrees at 100 meters, with gusts adding complexity. The UAV must avoid a static no-fly zone around the bridge and a moving obstacle near a turbine, while also navigating dynamic no-fly zones. GNSS signals suffer from multipath interference and moderate jamming, reducing positioning accuracy, and electromagnetic interference further challenges sensor integrity. The UAV must follow a corridor inspection pattern along key waypoints and return to land on a designated runway. Traffic includes another UAV moving diagonally through the airspace, requiring separation assurance with a 25-meter threshold. Battery endurance is critical, with a 30% reserve required and limited by high wind and de-icing power demands. Communication dropouts occur briefly at two intervals, challenging command reliability.",Rely solely on encrypted GNSS with signal strength thresholding,Switch to optical flow and LiDAR SLAM with authenticated telemetry,Increase radar update rate using unencrypted high-bandwidth mode,Descend immediately using last known GNSS position without verification,Trust thermal camera feed for navigation due to low EMI impact,Use open-loop de-icing commands to save authentication latency,Hand over control via unauthenticated backup radio link,"[""Rely solely on encrypted GNSS with signal strength thresholding"", ""Switch to optical flow and LiDAR SLAM with authenticated telemetry"", ""Increase radar update rate using unencrypted high-bandwidth mode"", ""Descend immediately using last known GNSS position without verification"", ""Trust thermal camera feed for navigation due to low EMI impact"", ""Use open-loop de-icing commands to save authentication latency"", ""Hand over control via unauthenticated backup radio link""]","B maintains control stability using sensor diversity (optical flow, LiDAR) independent of GNSS and radar spoofing. It ensures data integrity through authenticated telemetry, preserving command confidentiality and resilience. This layered approach mitigates jamming, spoofing, and EMI while sustaining mission continuity within the geofence." 2025-11-01T17:56:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Dusty_Industrial_Plant_18f9f3db56f2_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Dusty_Industrial_Plant,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"Which action optimizes path efficiency and energy use under 6.5 m/s wind and dust visibility, while maintaining 10m separation and avoiding a moving obstacle?","This is an emergency medical delivery mission using a swarm of four UAVs in a dusty industrial plant environment. The airspace is confined to a 200m x 150m polygon with a maximum altitude of 120m AGL and a no-fly zone cylinder near the center. Weather conditions include moderate wind from 240 degrees at 6.5 m/s with gusts up to 4.0 m/s and poor visibility due to dust. Each UAV is an eight-rotor battery-powered swarm drone carrying a 1.5 kg medical payload with RGB camera and LiDAR sensors. GNSS signals may suffer from multipath interference due to industrial structures. The swarm must navigate a corridor pattern through waypoints while avoiding a moving spherical obstacle and maintaining a minimum 10m inter-UAV separation. A second UAV is present in the airspace on a crossing path, requiring separation assurance with a 25m threshold. Communication experiences brief uplink/downlink loss windows, requiring robust autonomy. The mission must be completed within 600 seconds, starting from a hover at (10,10,30) and ending at the preferred landing site. Key constraints include battery endurance, dust-reduced visibility, dynamic obstacle avoidance, and maintaining geofence and separation compliance.",Climb to 120m for clearer GNSS and reduced dust interference,Descend to 20m to minimize wind exposure and power use,Increase speed to 8 m/s to reduce exposure time to gusts,Maintain 30m altitude with adaptive corridor tracking and speed modulation,Fly fixed headings ignoring real-time obstacle updates to save processing,Spread swarm laterally beyond corridor to maximize separation,"Hover until comms stabilize, then proceed in tight formation","[""Climb to 120m for clearer GNSS and reduced dust interference"", ""Descend to 20m to minimize wind exposure and power use"", ""Increase speed to 8 m/s to reduce exposure time to gusts"", ""Maintain 30m altitude with adaptive corridor tracking and speed modulation"", ""Fly fixed headings ignoring real-time obstacle updates to save processing"", ""Spread swarm laterally beyond corridor to maximize separation"", ""Hover until comms stabilize, then proceed in tight formation""]","Maintaining 30m balances aerodynamic efficiency, obstacle visibility, and GNSS reliability in dusty, gust-prone conditions. Adaptive tracking preserves separation and avoids the moving obstacle while conserving energy. Other options risk geofence violation, excessive power draw, or loss of coordination during communication gaps." 2025-11-01T17:56:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Dense_Urban_Area_with_Rain_bcfe3f72edde_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Dense_Urban_Area_with_Rain,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"A hexacopter must deliver medical supplies in 10 minutes, avoiding a moving obstacle and 25m separation from traffic, with 8 m/s winds and degraded GNSS at -75 dBm.","This is an emergency medical delivery mission using a hexacopter UAV in a dense urban environment. The flight operates within a defined geofenced airspace, with altitude restricted between 10 and 120 meters AGL. The area includes a static no-fly zone around a sensitive site and a moving no-fly zone that shifts during the mission. The UAV carries medical supplies with a total payload of 1.5 kg and is equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. Weather conditions include moderate rain, poor visibility, 8 m/s winds from the southwest, gusts up to 4.5 m/s, and potential icing. Wind speed and direction vary with altitude, increasing to 10 m/s at 50 meters with a shift in direction. GNSS signals are degraded due to multipath effects and moderate jamming at -75 dBm, compounded by electromagnetic interference. The UAV must avoid two other traffic drones and a moving spherical obstacle while maintaining separation of at least 25 meters. An icing event occurs mid-mission, reducing performance for one minute with 60% severity. Communication experiences a brief 10-second downlink loss, and the mission must complete within 10 minutes with sufficient battery reserve.","Climb to 120m AGL for better GNSS, then proceed directly to target","Descend to 10m AGL, hug terrain to avoid wind, route through static NFZ","Maintain 60m AGL, adjust heading to counteract wind drift and avoid obstacle","Fly straight at 100m AGL, ignore moving obstacle due to short icing event","Reroute east to avoid traffic, ascending to 110m despite jamming risks","Hold position during downlink loss, resume after 10 seconds passively","Accelerate through moving NFZ edge to save time, accepting 20m separation","[""Climb to 120m AGL for better GNSS, then proceed directly to target"", ""Descend to 10m AGL, hug terrain to avoid wind, route through static NFZ"", ""Maintain 60m AGL, adjust heading to counteract wind drift and avoid obstacle"", ""Fly straight at 100m AGL, ignore moving obstacle due to short icing event"", ""Reroute east to avoid traffic, ascending to 110m despite jamming risks"", ""Hold position during downlink loss, resume after 10 seconds passively"", ""Accelerate through moving NFZ edge to save time, accepting 20m separation""]","Maintaining 60m AGL balances wind exposure and GNSS reliability while allowing adaptive course correction. It avoids NFZs, preserves separation, and accounts for wind-induced drift and sensor uncertainty. Other options violate altitude, separation, or geofence constraints, or inefficiently increase time or exposure." 2025-11-01T17:56:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Forest_During_Rain_24eae150c7a7_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Forest_During_Rain,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,E,False,How should the UAV adjust pitch and throttle at 80 m AGL with 3.5 m/s gusts and 0.8 kg payload to maintain corridor flight?,"This is an emergency medical delivery mission using a quadrotor UAV in a forested area. The UAV carries a 0.8 kg medical payload and relies on battery power with standard sensors including GNSS, IMU, lidar, and RGB camera. The flight occurs in poor visibility due to rain and icing conditions, with moderate winds increasing with altitude and gusts up to 3.5 m/s. The airspace is constrained between 10 m and 120 m AGL within a polygonal geofence, containing both static and moving no-fly zones. A dynamic no-fly zone drifts slowly through the area, and a stationary cylinder-shaped NFZ blocks part of the corridor. GNSS signals suffer from multipath effects and electromagnetic interference, with brief communication loss periods during the mission. The UAV must follow a predefined waypoint corridor while avoiding a moving obstacle and another UAV traveling through the airspace. An icing event occurs mid-mission, reducing performance for one minute. The mission must be completed within 600 seconds, maintaining safe separation and avoiding collisions or geofence violations.",Increase pitch; reduce throttle to save power,Decrease pitch; increase throttle to counter wind,Increase pitch; maintain throttle for lift balance,Decrease pitch; maintain throttle to reduce drag,Increase pitch; increase throttle to overcome gust load,Hold pitch; reduce throttle to prevent overshoot,Hold pitch; increase throttle to regain airspeed,"[""Increase pitch; reduce throttle to save power"", ""Decrease pitch; increase throttle to counter wind"", ""Increase pitch; maintain throttle for lift balance"", ""Decrease pitch; maintain throttle to reduce drag"", ""Increase pitch; increase throttle to overcome gust load"", ""Hold pitch; reduce throttle to prevent overshoot"", ""Hold pitch; increase throttle to regain airspeed""]","Increasing pitch angle raises angle of attack to generate additional lift under gust-induced load factor, while increased throttle compensates for higher induced drag and maintains airspeed. This balances lift, thrust, and gust rejection without stalling or deviating from the corridor." 2025-11-01T17:56:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Forest_with_Icing_Conditions_1c14c9952b4f_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Forest_with_Icing_Conditions,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best ensures on-time 2 kg medical delivery within 600 s, 30% battery reserve, and icing resilience?","This is an emergency medical delivery mission using a VTOL tiltrotor UAV in a forested area. The flight occurs within a defined airspace polygon with a maximum altitude of 120 meters AGL and includes a static no-fly zone near the center. Icing conditions are present, with a simulated icing event occurring mid-mission, reducing performance. Wind increases with altitude, shifting direction and intensity, complicating cruise and hover transitions. The UAV carries a 2 kg medical payload and is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. GNSS signals suffer from multipath and moderate jamming, while electromagnetic interference affects sensor reliability. A dynamic no-fly zone and moving obstacle require real-time avoidance, and a second UAV travels through the airspace on a fixed path. The mission must be completed within 600 seconds, requiring a runway-aligned takeoff and preferred landing at the southern corner. Battery reserve is set to 30%, and successful delivery depends on managing energy, weather, and separation from obstacles and traffic.",Fixed-wing with high cruise speed but no hover capability,Quadcopter with precise hover but limited range and speed,"Tiltrotor with VTOL, moderate speed, and efficient cruise",Autogyro with high altitude performance but poor low-speed control,Hydrogen-powered UAV with long endurance but high system complexity,Solar-assisted UAV with low payload capacity and weather dependency,Single-rotor gasoline UAV with high power but poor sensor integration,"[""Fixed-wing with high cruise speed but no hover capability"", ""Quadcopter with precise hover but limited range and speed"", ""Tiltrotor with VTOL, moderate speed, and efficient cruise"", ""Autogyro with high altitude performance but poor low-speed control"", ""Hydrogen-powered UAV with long endurance but high system complexity"", ""Solar-assisted UAV with low payload capacity and weather dependency"", ""Single-rotor gasoline UAV with high power but poor sensor integration""]","The tiltrotor balances VTOL, hover precision, and efficient cruise, critical for forested area access and energy-constrained timing. It outperforms fixed-wing and quadcopter designs in range and hover trade-offs while maintaining reliability under icing and wind shear. Only the tiltrotor meets all operational constraints: payload, reserve, no-fly zones, and southern landing alignment." 2025-11-01T17:56:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Icing_Conditions_at_Industrial_Plant_50bd9e9b819b_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Icing_Conditions_at_Industrial_Plant,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During icing at 140s, with GNSS multipath and 8.5 m/s winds, which sensor fusion strategy maintains position integrity within 25 m of obstacles?","This scenario involves an emergency medical delivery mission using an octocopter UAV equipped with a 2 kg payload and standard sensors including GNSS, IMU, lidar, and RGB camera. The flight occurs within a confined industrial plant airspace bounded by a geofenced polygon and a cylindrical no-fly zone centered at (100, 75) with a 20 m radius and vertical limits from 10 to 60 m. The UAV must navigate from its spawn point to deliver medical supplies along a corridor pattern through waypoints, ending at a preferred landing site, all within a 600-second time budget. Weather conditions include strong winds at 8.5 m/s from 240 degrees, gusts up to 4 m/s, poor visibility, and icing conditions that trigger a moderate-severity icing event between 120 and 180 seconds into the flight. The UAV operates between 10 and 120 m AGL, requiring careful altitude management to avoid both the NFZ and terrain while maintaining separation from a moving spherical obstacle oscillating at 2 m/s and an intruder UAV entering from the north. Communication includes two brief downlink loss windows at 300 and 450 seconds, with minimum RSSI at -85 dBm, demanding resilient data transmission. The flight controller uses discrete actions for navigation, and detect-and-avoid logic enforces a 25 m separation threshold and 15 s time-to-closest-approach buffer to prevent conflicts. Battery capacity is 4800 Wh with a reserve fraction of 30%, and actual hover power adjusted to 494.1 W, influencing endurance calculations. Notable constraints include GNSS multipath risks near industrial structures, potential comms loss, dynamic obstacles, and aerodynamic degradation due to icing, all impacting mission success and safety.",Prioritize GNSS with lidar altimeter for vertical correction,Switch to IMU-only dead reckoning using initial GNSS lock,Fuse lidar SLAM with optical flow under reduced visibility,Rely on RGB camera tracking with IMU during GNSS dropouts,Use predictive wind model to correct IMU drift bias,Depend on periodic GNSS updates despite multipath noise,Disable obstacle avoidance to reduce processing latency,"[""Prioritize GNSS with lidar altimeter for vertical correction"", ""Switch to IMU-only dead reckoning using initial GNSS lock"", ""Fuse lidar SLAM with optical flow under reduced visibility"", ""Rely on RGB camera tracking with IMU during GNSS dropouts"", ""Use predictive wind model to correct IMU drift bias"", ""Depend on periodic GNSS updates despite multipath noise"", ""Disable obstacle avoidance to reduce processing latency""]","Lidar SLAM provides spatial consistency despite GNSS multipath near structures, while optical flow compensates for IMU drift under poor visibility. This fusion maintains obstacle separation during icing-induced aerodynamic degradation. Other options fail to address sensor degradation or lack redundancy during dynamic conditions." 2025-11-01T17:56:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Harbor_Fog_b991cb67da77_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Harbor_Fog,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which system ensures safe harbor flight with 12 kg payload, 9.2 m/s winds, and 25 m obstacle clearance?","This scenario involves an emergency medical delivery mission using a heavy-lift octocopter UAV equipped with RGB and thermal cameras, LiDAR, radar, and full GNSS/IMU navigation. The flight occurs in a harbor airspace with poor visibility due to fog, and wind increases with altitude, reaching up to 9.2 m/s from 260 degrees at 100 meters AGL. The UAV carries a 12 kg medical payload and must operate within a defined rectangular geofence between 10 and 120 meters AGL. A static no-fly zone surrounds the center of the harbor, and a second dynamic no-fly zone moves slowly through the area, requiring real-time avoidance. Additional challenges include GNSS multipath effects, moderate jamming at -75 dBm, and electromagnetic interference that may affect navigation accuracy. The mission includes five waypoints forming a corridor route, with a strict 600-second time budget to deliver supplies. Traffic includes a single intruder UAV moving through the airspace, and a moving spherical obstacle drifts across the flight path. Communication experiences two brief downlink loss windows, requiring robust onboard decision-making. The UAV must maintain separation of at least 25 meters from obstacles with a time-to-closest-approach threshold of 20 seconds to avoid DAA breaches.",A- Use consumer GPS with no redundancy,B- Rely solely on thermal for navigation,C- Disable LiDAR to save power,D- Fuse sensor data with Kalman filtering,游戏副本- Drop payload to avoid dynamic zone,F- Fly lowest altitude to reduce wind,G- Transmit all data to ground for control,"[""A- Use consumer GPS with no redundancy"", ""B- Rely solely on thermal for navigation"", ""C- Disable LiDAR to save power"", ""D- Fuse sensor data with Kalman filtering"", ""游戏副本- Drop payload to avoid dynamic zone"", ""F- Fly lowest altitude to reduce wind"", ""G- Transmit all data to ground for control""]","Sensor fusion via Kalman filtering mitigates GNSS multipath and jamming by integrating LiDAR, radar, and IMU data, ensuring navigation accuracy. It enables real-time obstacle avoidance within the geofence while maintaining stability in 9.2 m/s winds. Other options fail in redundancy, situational awareness, or autonomy during comms loss." 2025-11-01T17:56:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Industrial_Plant_with_Low_Visibility_b6498089220c_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Industrial_Plant_with_Low_Visibility,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"At 200 s, UAV faces icing, 240° winds, and 10 m separation needs; what action balances safety, energy, and timing under GNSS degradation?","This scenario involves an emergency medical delivery mission within a confined industrial plant airspace. The UAV is a single-rotor helicopter with a 2 kg medical payload, equipped with GNSS, IMU, camera, thermal, and LiDAR sensors. Weather conditions include poor visibility, moderate winds from 240 degrees, gusts, and icing conditions that temporarily affect UAV performance. The mission must be completed within 600 seconds, following a corridor flight pattern through four waypoints. A static no-fly zone cylinder blocks the central area, while a dynamic no-fly zone moves slowly through the environment. A second UAV and a moving spherical obstacle create additional collision risks, requiring separation maintenance of at least 10 meters. GNSS multipath effects and electromagnetic interference degrade navigation accuracy, especially near structures. The UAV must avoid geofenced boundaries and operate between 5 and 60 meters AGL, with a reserve battery fraction of 30%. Two communication loss windows occur briefly during the mission, challenging telemetry and control. The UAV faces an icing fault at 200 seconds, reducing efficiency for one minute, and thermal updrafts near machinery may affect stability.",Climb to 60 m for better GNSS signal and wind clearance,Descend to 10 m to reduce wind exposure and save power,Maintain current altitude and increase speed to exit fast,"Reduce speed, descend to 25 m, and increase separation margin",Hold position at 40 m until icing clears at 260 seconds,Turn 30° away from dynamic no-fly zone to reduce collision risk,Accelerate through corridor to preserve 30% battery reserve,"[""Climb to 60 m for better GNSS signal and wind clearance"", ""Descend to 10 m to reduce wind exposure and save power"", ""Maintain current altitude and increase speed to exit fast"", ""Reduce speed, descend to 25 m, and increase separation margin"", ""Hold position at 40 m until icing clears at 260 seconds"", ""Turn 30° away from dynamic no-fly zone to reduce collision risk"", ""Accelerate through corridor to preserve 30% battery reserve""]","Descending to 25 m reduces wind and icing impact while staying above minimum safe altitude. Reduced speed improves control in degraded GNSS and conserves energy. This balances aerodynamic stability, obstacle separation, and mission timing under fault conditions." 2025-11-01T17:56:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Industrial_Plant_under_Rain_eb125d6126fd_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Industrial_Plant_under_Rain,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"At 180s, icing reduces performance; rain, gusts up to 3.8 m/s, and GNSS jamming at -75 dBm persist. How to proceed with 1.2 kg payload?","This is an emergency medical delivery mission using a hexacopter UAV within a confined industrial plant airspace. The UAV carries a 1.2 kg payload and is equipped with GNSS, IMU, camera (RGB and thermal), LiDAR, and other standard sensors. Weather conditions include moderate rain, poor visibility, icing risk, and wind gusts up to 3.8 m/s with increasing speed and shifting direction at higher altitudes. A thermal plume near the center of the area creates localized updrafts. The flight is constrained by a static no-fly zone around a central cylinder and a moving no-fly zone drifting at 2.2 m/s. There is also a dynamically moving obstacle and another UAV operating in the airspace, requiring separation of at least 25 meters and a time-to-collision threshold of 20 seconds. GNSS performance is degraded due to multipath, jamming at -75 dBm, and electromagnetic interference. The UAV must complete its corridor-style mission within 600 seconds, navigating from spawn to a preferred landing site while avoiding geofenced and dynamic obstacles. An icing fault is introduced at 180 seconds, reducing performance for one minute. Communication experiences brief downlink losses at two intervals, demanding robust autonomy and fault tolerance.",Climb to 120 m AGL to avoid thermal updrafts and maintain VLOS,"Descend to 45 m AGL, reduce speed, and reroute around moving NFZ",Continue current path at 75 m AGL to minimize time in weather,Turn back to spawn site immediately to prevent control loss,Accelerate through corridor to beat worsening wind shift at 200s,Divert to alternate landing site downwind to save energy,Hold position at 60 m AGL until icing fault clears at 240s,"[""Climb to 120 m AGL to avoid thermal updrafts and maintain VLOS"", ""Descend to 45 m AGL, reduce speed, and reroute around moving NFZ"", ""Continue current path at 75 m AGL to minimize time in weather"", ""Turn back to spawn site immediately to prevent control loss"", ""Accelerate through corridor to beat worsening wind shift at 200s"", ""Divert to alternate landing site downwind to save energy"", ""Hold position at 60 m AGL until icing fault clears at 240s""]","Descending to 45 m AGL reduces exposure to gusts and thermal updrafts while improving GNSS multipath resilience near terrain. It allows safe rerouting around the moving NFZ at 2.2 m/s without violating separation from dynamic obstacles. Other options increase icing risk, break time-to-collision thresholds, or waste endurance." 2025-11-01T17:56:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Jungle_Rain_40cdf7f7b9c3_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Jungle_Rain,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"At 300 s, motor failure occurs at 110 m AGL with 45 s GNSS outage imminent; maintain delivery in 600 s.","Emergency medical delivery mission using a hexacopter UAV in dense jungle airspace with heavy rain and lightning risk. The UAV carries a 1.2 kg medical payload and is equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. Weather includes strong winds up to 12 m/s at altitude, shifting wind direction, poor visibility, and active thermal updrafts. The flight corridor is confined between 10–120 m AGL with a static no-fly zone and a moving restricted zone near the route. GNSS suffers from multipath effects and jamming, with a planned 45-second severe GNSS outage during the mission. A second UAV and a moving spherical obstacle create dynamic collision risks requiring real-time avoidance. The hexacopter must complete the delivery within 600 seconds while maintaining safe separation and battery reserve. Communication experiences two downlink loss periods, and electromagnetic interference is present. The UAV faces a partial motor failure at 300 seconds, reducing performance mid-mission. Primary constraints include GNSS reliability, wind gusts, dynamic obstacles, and strict time and airspace limits.","Descend to 15 m AGL, reroute east to avoid static NFZ",Hold at current waypoint until GNSS recovers,Climb to 130 m AGL to escape wind shear,"Proceed direct north, reduce speed to stabilize yaw","Transition to optical-flow navigation, follow river corridor west",Circle at 100 m AGL using LiDAR for obstacle mapping,"Abort mission, return to launch point immediately","[""Descend to 15 m AGL, reroute east to avoid static NFZ"", ""Hold at current waypoint until GNSS recovers"", ""Climb to 130 m AGL to escape wind shear"", ""Proceed direct north, reduce speed to stabilize yaw"", ""Transition to optical-flow navigation, follow river corridor west"", ""Circle at 100 m AGL using LiDAR for obstacle mapping"", ""Abort mission, return to launch point immediately""]","Optical-flow with river corridor maintains navigation during GNSS outage and respects 10–120 m AGL band. The route avoids static and moving obstacles while preserving time and battery. Other options violate altitude limits, waste time, or increase risk under motor degradation." 2025-11-01T17:56:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Jungle_with_Dust_Storm_9fa588afecc5_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Jungle_with_Dust_Storm,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"With visibility reduced by dust storm and wind gusts at 4.2 m/s, how should the UAV adapt navigation near the moving obstacle at (2000, 2000)?","This scenario involves an emergency medical delivery mission using a high-altitude pseudo-satellite UAV in a jungle environment. The UAV operates within a defined airspace from 100 to 3000 meters AGL, bounded by static and dynamic no-fly zones. A dust storm reduces visibility and introduces wind gusts up to 4.2 m/s from 240 degrees, challenging navigation and stability. The UAV is equipped with a 15 kg medical payload and carries a full suite of sensors including GNSS, radar, lidar, RGB and thermal cameras. The flight path must avoid a stationary cylindrical NFZ centered at (2500, 2500) and a moving obstacle at (2000, 2000) drifting northeast. An additional dynamic no-fly zone moves across the area, requiring real-time path adaptation. The mission must be completed within 600 seconds, following a corridor pattern through five waypoints ending at a preferred landing site. The UAV faces brief communication loss windows and must maintain separation from another UAV on a collision course. GNSS multipath effects and reduced sensor reliability due to dust are key operational constraints.",Prioritize GNSS for position lock despite multipath risks,Rely solely on IMU during communication blackouts,Use radar-lidar fusion to track obstacle in low visibility,Switch to thermal-only guidance in dusty conditions,Follow preset GPS waypoints ignoring dynamic NFZ drift,Increase altitude to escape dust reducing sensor noise,Disable sensor fusion to reduce processing latency,"[""Prioritize GNSS for position lock despite multipath risks"", ""Rely solely on IMU during communication blackouts"", ""Use radar-lidar fusion to track obstacle in low visibility"", ""Switch to thermal-only guidance in dusty conditions"", ""Follow preset GPS waypoints ignoring dynamic NFZ drift"", ""Increase altitude to escape dust reducing sensor noise"", ""Disable sensor fusion to reduce processing latency""]","Radar penetrates dust better than lidar, while lidar provides high-resolution tracking; fusing both compensates for individual weaknesses. This maintains obstacle tracking accuracy amid GNSS multipath and visibility degradation. Other sensors alone cannot reliably resolve dynamic obstacles under these environmental stresses." 2025-11-01T17:56:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Jungle_with_Gusts_33090c83a2a5_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Jungle_with_Gusts,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"Given 6 m/s west winds, 2.5 kg payload, and 120m AGL max, what airspeed balances gust tolerance and battery life?","This is an emergency medical delivery mission using a single battery-powered helicopter UAV in a jungle environment. The airspace is constrained by a rectangular geofence with a static no-fly zone over a 50-meter radius cylinder near the center and a moving no-fly zone shifting southwest. Winds are from the west at 6 m/s with gusts up to 4.5 m/s, and visibility is poor, increasing navigation difficulty. The UAV carries a 2.5 kg payload and is equipped with GNSS, IMU, lidar, RGB and thermal cameras for navigation and obstacle detection. Flight altitude is restricted between 10 and 120 meters AGL, and the mission must be completed within 600 seconds. There is one other UAV in the airspace flying a fixed trajectory, requiring separation of at least 25 meters and a time-to-closest-approach threshold of 20 seconds. A moving spherical obstacle drifts through the corridor, adding dynamic collision risk. Communication experiences brief signal loss windows at 120–130s and 450–465s into the mission. The UAV must avoid GNSS multipath effects common in dense jungle and maintain sufficient battery reserve. The mission ends with a planned delivery at a designated landing site, with two emergency sites available.",Climb steeply at minimum forward speed,Fly downwind at maximum cruise speed,Maintain 15 m/s airspeed into the wind,Descend rapidly below 10 meters AGL,Hover at 50 meters to assess navigation,Match wind speed with zero groundspeed,Accelerate to 25 m/s for shortest exposure,"[""Climb steeply at minimum forward speed"", ""Fly downwind at maximum cruise speed"", ""Maintain 15 m/s airspeed into the wind"", ""Descend rapidly below 10 meters AGL"", ""Hover at 50 meters to assess navigation"", ""Match wind speed with zero groundspeed"", ""Accelerate to 25 m/s for shortest exposure""]",Flying into the wind at 15 m/s increases effective lift and control authority during gusts while minimizing groundspeed-related drift and energy use. This airspeed optimizes aerodynamic efficiency and maintains adequate Reynolds number for stable rotor performance. It also preserves battery by avoiding excessive induced drag from hover or low-speed flight. 2025-11-01T17:56:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Rural_Cold_Environment_afdfe28b693d_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Rural_Cold_Environment,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"During icing at 1200 m AGL with 16 m/s winds, comms fail for 20 seconds—should the UAV continue, descend, or abort?","This is an emergency medical delivery mission in a rural, cold environment with snowfall and icing conditions. The UAV operates within a defined airspace from 100 m to 3000 m AGL, bounded by a polygonal geofence. Weather includes strong winds up to 16 m/s at higher altitudes, increasing with altitude and shifting direction. The UAV is a high-altitude pseudo-satellite with battery power, carrying a 5 kg medical payload. It is equipped with radar, RGB and thermal cameras, and standard navigation sensors but no LiDAR. A static no-fly zone blocks part of the route, and a dynamic no-fly zone moves through the area. There is moderate electromagnetic interference and mild GNSS jamming, though multipath effects are absent. The UAV must avoid collisions with a moving obstacle and maintain separation from other air traffic. An icing event occurs mid-mission, reducing performance for two minutes. Communication experiences a brief 20-second downlink loss, and runway-assisted takeoff and landing are required.",Continue mission; payload is time-critical for rural patients,Descend to 100 m to reduce wind exposure and icing risk,Climb above 3000 m AGL to escape icing and turbulence,Divert through dynamic no-fly zone to save 8 minutes,Jettison payload to regain control in severe icing,Maintain altitude and await comms recovery for commands,Abort mission and return to runway under partial automation,"[""Continue mission; payload is time-critical for rural patients"", ""Descend to 100 m to reduce wind exposure and icing risk"", ""Climb above 3000 m AGL to escape icing and turbulence"", ""Divert through dynamic no-fly zone to save 8 minutes"", ""Jettison payload to regain control in severe icing"", ""Maintain altitude and await comms recovery for commands"", ""Abort mission and return to runway under partial automation""]","Human safety and aircraft controllability outweigh mission urgency during performance degradation. Continuing or diverting risks loss of control in icing and winds, endangering populated areas. Aborting ensures safe return within geofence and regulatory compliance, minimizing overall harm." 2025-11-01T17:56:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Sandstorm_-_Forest_Airspace_24ca8743a47e_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Sandstorm_-_Forest_Airspace,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"A VTOL UAV faces 12–18 m/s winds, a drifting no-fly zone at 2 m/s, and a 45-second GNSS outage. How should it adjust path planning?","Emergency medical delivery mission using a VTOL tiltrotor UAV in forest airspace during a sandstorm. The UAV carries a 2 kg medical payload and is equipped with GNSS, IMU, camera, LIDAR, radar, and thermal sensors. Weather includes poor visibility, 12–18 m/s winds with gusts, and a sandstorm causing significant environmental stress. Flight occurs between 10–120 m AGL within a polygonal geofenced area containing static and moving no-fly zones. A dynamic no-fly zone drifts at 2 m/s, and a spherical moving obstacle traverses the path at low altitude. GNSS multipath and jamming at -75 dBm degrade navigation, with a planned 45-second GNSS outage fault. A second fault simulates partial motor failure at 300 seconds, reducing propulsion efficiency. Downlink communication is lost intermittently, with two 30-second loss windows during the mission. Air traffic includes a crossing UAV, requiring DAA compliance with 25 m separation and 30 s TTC thresholds. The mission must be completed within 600 seconds, includes a runway-assisted transition, and requires landing at a designated site.",Ascend above 120 m to avoid obstacles and ensure GNSS signal lock,Delay takeoff until sandstorm reduces visibility below 100 m,Rely solely on LIDAR during GNSS outage and ignore moving obstacle,Coordinate with crossing UAV to share radar data every 15 seconds,Reduce speed by 50% to maintain stability in 18 m/s gusts,Preemptively reroute using IMU and terrain correlation to bypass dynamic zone,Switch to camera-only navigation when thermal detects payload overheating,"[""Ascend above 120 m to avoid obstacles and ensure GNSS signal lock"", ""Delay takeoff until sandstorm reduces visibility below 100 m"", ""Rely solely on LIDAR during GNSS outage and ignore moving obstacle"", ""Coordinate with crossing UAV to share radar data every 15 seconds"", ""Reduce speed by 50% to maintain stability in 18 m/s gusts"", ""Preemptively reroute using IMU and terrain correlation to bypass dynamic zone"", ""Switch to camera-only navigation when thermal detects payload overheating""]","F uses sensor fusion and predictive rerouting to maintain mission timing and avoid the drifting no-fly zone without relying on GNSS. It preserves communication windows and respects DAA separation by avoiding reactive maneuvers. Other options violate altitude limits, ignore inter-agent awareness, or degrade navigation during critical phases." 2025-11-01T17:56:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Snowy_Industrial_Plant_2104aa2500d0_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Snowy_Industrial_Plant,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 7 m/s wind, 60% efficiency loss from icing at 180s, and 2 kg payload, which strategy maximizes delivery chance within 600s?","This is an emergency medical delivery mission using a VTOL tiltrotor UAV in a snowy industrial plant environment. The airspace is confined to a 200x150 meter polygon with a minimum altitude of 5 meters and a maximum of 90 meters AGL. Weather conditions include moderate wind at 7 m/s from 240 degrees, gusts up to 4 m/s, poor visibility, snowfall, and icing conditions that affect aerodynamics and battery performance. The UAV carries a 2 kg medical payload and is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Key constraints include a static no-fly zone around the center of the plant and a moving no-fly zone drifting at 2.5 m/s. GNSS signals are degraded due to multipath effects and interference, with jamming at -85 dBm and communication dropouts between 120–130 and 450–460 seconds. The UAV must avoid a moving obstacle near waypoint two and maintain separation from another UAV flying through the area. An icing event occurs at 180 seconds, reducing efficiency by 60% for one minute, increasing power demand and risk. The mission must be completed within 600 seconds, ending with a runway-assisted landing at the designated site.",Climb to 90m early for better GNSS signal,Fly direct at 5m altitude to minimize distance,Reduce camera frame rate to save power during icing,Hover 10s at waypoint two to reassess obstacle,Increase rotor RPM to counteract wind gusts,Transmit full HD video continuously to base,Delay takeoff until wind drops below 5 m/s,"[""Climb to 90m early for better GNSS signal"", ""Fly direct at 5m altitude to minimize distance"", ""Reduce camera frame rate to save power during icing"", ""Hover 10s at waypoint two to reassess obstacle"", ""Increase rotor RPM to counteract wind gusts"", ""Transmit full HD video continuously to base"", ""Delay takeoff until wind drops below 5 m/s""]","Reducing camera frame rate cuts power use during the high-demand icing event, preserving battery for critical flight phases. It balances sensor utility and energy, avoiding overdraw while maintaining situational awareness. Other options increase consumption or risk exceeding time limits." 2025-11-01T17:56:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Snowy_Jungle_5469d6e34725_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Snowy_Jungle,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 180s, icing reduces lift; GNSS jammed at -85 dBm, winds reach 13 m/s. Which navigation strategy maintains corridor accuracy?","Emergency medical delivery mission using a fixed-wing glider UAV in a dense jungle environment. The glider carries a 1.5 kg medical payload and relies on battery power with a reserve fraction of 30%. Flight occurs between 10 and 250 meters AGL within a defined polygonal geofence containing static and moving no-fly zones. Weather includes snowfall, icing conditions, poor visibility, and moderate winds increasing with altitude up to 13 m/s. GNSS signals are degraded due to multipath effects, jamming at -85 dBm, and electromagnetic interference. The mission requires navigating through a corridor of four waypoints within a 600-second time limit. A dynamic no-fly zone and a moving spherical obstacle challenge path planning and collision avoidance. Separation from other traffic must be maintained above 25 meters with a time-to-closest-approach threshold of 10 seconds. An icing event is expected at 180 seconds, reducing performance for one minute. The UAV is equipped with RGB and thermal cameras, LiDAR, and full inertial and navigation sensors for perception.",Trust GNSS despite jamming; apply Kalman filter smoothing,Switch exclusively to LiDAR; ignore thermal and IMU data,Use IMU-visual fusion with optical flow from RGB camera,Rely on pre-mapped waypoints; disable real-time updates,Increase altitude to avoid obstacle; use GNSS for correction,Depend on magnetic heading; calibrate compass frequently,Fuse LiDAR with thermal to track terrain in snowfall,"[""Trust GNSS despite jamming; apply Kalman filter smoothing"", ""Switch exclusively to LiDAR; ignore thermal and IMU data"", ""Use IMU-visual fusion with optical flow from RGB camera"", ""Rely on pre-mapped waypoints; disable real-time updates"", ""Increase altitude to avoid obstacle; use GNSS for correction"", ""Depend on magnetic heading; calibrate compass frequently"", ""Fuse LiDAR with thermal to track terrain in snowfall""]","GNSS is unreliable due to jamming and multipath, making IMU-visual fusion critical. RGB optical flow complements inertial data during icing and low visibility. This method maintains situational awareness without relying on degraded signals or occlusion-prone LiDAR." 2025-11-01T17:56:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Mountainous_Terrain_with_Microburst_Risk_ac494adc31c7_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Mountainous_Terrain_with_Microburst_Risk,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"With 600s mission limit, 5kg payload, and 8 m/s winds, which strategy maximizes delivery success under GNSS jamming and communication blackouts?","This scenario involves an emergency medical delivery mission using a high-altitude pseudo-satellite UAV in mountainous terrain. The flight operates within controlled airspace ranging from 500 to 3500 meters AGL, bounded by static and dynamic no-fly zones. Weather conditions include strong westerly winds up to 8 m/s with increasing speed and directional shear at higher altitudes, along with a significant microburst risk. The UAV carries a 5 kg medical payload and is equipped with a comprehensive sensor suite including GNSS, radar, LiDAR, RGB and thermal cameras. Key constraints include GNSS multipath effects, electromagnetic interference, and a temporary GNSS jamming event during flight. A dynamic no-fly zone moves through the airspace, requiring real-time path adaptation. The UAV must maintain separation from both static obstacles and other air traffic, including a moving obstacle and another UAV on a crossing path. Communication links experience two brief blackout periods, challenging command and telemetry reliability. The mission must be completed within 600 seconds while managing battery reserves and avoiding airspace violations. Success depends on robust navigation, fault tolerance, and responsive collision avoidance in complex environmental and operational conditions.",Ascend to 3500m for clearer LoS and continuous radar mapping,Fly direct at 1500m AGL using full LiDAR and GNSS mode,"Descend to 500m, reduce sensor suite to thermal and inertial nav",Hover for 60s to reacquire GNSS during jamming event,Offload camera data via high-bandwidth link at maximum power,Follow dynamic no-fly zone edge using real-time path re-planning,Deploy payload early and return to base before microburst risk,"[""Ascend to 3500m for clearer LoS and continuous radar mapping"", ""Fly direct at 1500m AGL using full LiDAR and GNSS mode"", ""Descend to 500m, reduce sensor suite to thermal and inertial nav"", ""Hover for 60s to reacquire GNSS during jamming event"", ""Offload camera data via high-bandwidth link at maximum power"", ""Follow dynamic no-fly zone edge using real-time path re-planning"", ""Deploy payload early and return to base before microburst risk""]","Flying at 500m reduces wind shear and power demand while minimizing exposure to microbursts. Disabling high-power sensors like LiDAR and relying on thermal/inertial systems conserves battery and maintains navigation during GNSS outages. This balances endurance, safety, and mission completion within the 600s window." 2025-11-01T17:56:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Snowy_Suburban_Area_29e978aac115_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Snowy_Suburban_Area,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"With 10-min time budget, 120m max altitude, and icing degrading performance, which strategy maximizes delivery success and battery reserve?","This scenario involves an emergency medical delivery mission using a battery-powered helicopter UAV in a snowy suburban environment. The UAV operates within a defined rectangular airspace bounded by a static geofence and must avoid a central no-fly zone over a sensitive area. Weather conditions include moderate wind from the west, gusts, poor visibility, and active snowfall with icing risks that could affect flight performance. The UAV is equipped with a medical payload and carries sensors including GNSS, lidar, RGB and thermal cameras, and standard flight instruments. A dynamic no-fly zone moves through the airspace, requiring real-time avoidance, while a second UAV and a moving spherical obstacle create traffic separation challenges. The UAV must maintain a minimum separation of 25 meters and a time-to-collision threshold of 15 seconds for detect-and-avoid compliance. An icing event occurs mid-mission, temporarily degrading performance, and a brief comms loss window tests system resilience. Flight altitude is constrained between 10 and 120 meters AGL, with a specific delivery corridor and time budget of 10 minutes. The mission starts near the southwest corner and ends at a preferred landing site in the northeast, with emergency landing options available. Key success metrics include delivery completion, battery reserve, collision avoidance, and adherence to airspace and separation rules.",Climb to 120m for clear GPS and thermal scanning,Descend to 15m AGL to reduce wind resistance and save power,Activate all sensors continuously for maximum situational awareness,Increase speed to 15 m/s to reach delivery before comms loss,Jettison thermal camera to reduce weight and power draw,Hover for 90s to assess dynamic no-fly zone movement,"Fly direct route at 60m AGL, lidar active, RGB in standby","[""Climb to 120m for clear GPS and thermal scanning"", ""Descend to 15m AGL to reduce wind resistance and save power"", ""Activate all sensors continuously for maximum situational awareness"", ""Increase speed to 15 m/s to reach delivery before comms loss"", ""Jettison thermal camera to reduce weight and power draw"", ""Hover for 90s to assess dynamic no-fly zone movement"", ""Fly direct route at 60m AGL, lidar active, RGB in standby""]","Flying at 60m balances obstacle clearance and energy efficiency while staying within altitude limits. Keeping lidar active ensures dynamic obstacle detection with lower power than full sensor suite. This route minimizes distance and avoids unnecessary climbs or hover, preserving battery for icing resilience and return." 2025-11-01T17:56:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Suburban_Area_with_Lightning_Risk_b4ece47e3733_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Suburban_Area_with_Lightning_Risk,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 260s, GNSS fails and a storm approaches; the UAV is 40m from a moving obstacle near Waypoint 3. What should the UAV do?","This is an emergency medical delivery mission in a suburban airspace. The UAV is a battery-powered quadrotor equipped with a standard sensor suite including GNSS, IMU, and RGB camera, carrying a 0.8 kg medical payload. Flight occurs between 10 m and 120 m AGL within a defined polygonal geofence. A cylindrical no-fly zone with a 30 m radius and 60 m ceiling is centered at (150, 125), which the UAV must avoid. Weather includes moderate wind from 240° at 6.0 m/s with gusts up to 3.5 m/s and a risk of lightning. The mission must be completed within 600 seconds, following a corridor flight pattern through four waypoints. A single intruder UAV moves through the airspace on a fixed trajectory, requiring separation maintenance. A moving spherical obstacle drifts near a key waypoint, adding dynamic avoidance complexity. GNSS jamming and comms loss are expected between 250–280 seconds, challenging navigation and control. Minimum separation is 25 m with a time-to-closest-approach threshold of 15 seconds for collision avoidance.",Continue to Waypoint 3 using dead reckoning,Climb to 120m to avoid obstacle and storm,Return to base via shortest path now,Descend to 10m to minimize wind exposure,Hover at current position until GNSS returns,Eject payload to reduce risk and escape,"Divert to safe holding point below 60m, await recovery","[""Continue to Waypoint 3 using dead reckoning"", ""Climb to 120m to avoid obstacle and storm"", ""Return to base via shortest path now"", ""Descend to 10m to minimize wind exposure"", ""Hover at current position until GNSS returns"", ""Eject payload to reduce risk and escape"", ""Divert to safe holding point below 60m, await recovery""]","GNSS failure and storm increase navigational risk; continuing or hovering endangers public safety. G prioritizes controlled, low-altitude holding within legal ceiling, preserving life and mission without violating airspace or abandonment rules." 2025-11-01T17:56:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Suburban_Area_with_Strong_Crosswind_3757c390b957_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Suburban_Area_with_Strong_Crosswind,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"How should the UAV adapt navigation at 100 m with 13 m/s crosswinds, GNSS multipath low, and lidar-camera fusion available?","Emergency medical delivery mission using a VTOL tiltrotor UAV in a suburban environment. The UAV carries a 2 kg medical payload and is equipped with GNSS, IMU, lidar, and RGB camera. Flight occurs between 10–120 m AGL within a defined polygonal geofence. A static no-fly zone (cylinder, 30 m radius) and a moving no-fly zone (drifting west at 2 m/s) must be avoided. Strong crosswinds from 240° at 8.5 m/s increase to 13 m/s at 100 m altitude with directional shear. A single traffic UAV flies eastbound at 12 m/s below the mission altitude. The mission must be completed within 600 seconds, following a corridor route with four waypoints. Communication experiences brief uplink/downlink losses at 120 s and 480 s. Minimum separation from other traffic is set at 25 m with a 15-second time-to-closest-approach threshold. GNSS multipath is minimal, but wind gusts and dynamic obstacles challenge navigation and energy management.",Prioritize GNSS due to minimal multipath,Switch entirely to IMU-only dead reckoning,Rely on lidar for altitude in strong wind,Fuse IMU and camera with motion compensation,Use GNSS and IMU despite wind shear,Trust lidar exclusively in suburban clutter,Disable sensors to reduce computational load,"[""Prioritize GNSS due to minimal multipath"", ""Switch entirely to IMU-only dead reckoning"", ""Rely on lidar for altitude in strong wind"", ""Fuse IMU and camera with motion compensation"", ""Use GNSS and IMU despite wind shear"", ""Trust lidar exclusively in suburban clutter"", ""Disable sensors to reduce computational load""]","At 100 m, increased wind shear destabilizes GNSS-IMU coupling, requiring visual-inertial fusion to correct IMU drift. Lidar may suffer from limited field of view in suburban terrain, while GNSS, though stable, lacks sufficient update rate for turbulence. IMU-camera fusion with motion compensation maintains accuracy, resilience, and low latency under dynamic wind and partial occlusions." 2025-11-01T17:56:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Suburban_Dust_Storm_344de0fba89a_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Suburban_Dust_Storm,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,UAV faces drifting obstacle near critical waypoint at 50m altitude with 30% battery and GNSS jamming at -95 dBm. Proceed?,"Fixed-wing UAV conducts emergency medical delivery in suburban airspace with poor visibility due to a dust storm. The UAV operates between 30 and 120 meters AGL within a defined geofenced corridor and must avoid a static no-fly zone near the center. A dynamic no-fly zone moves slowly through the airspace, requiring real-time path adjustments. Wind increases with altitude, reaching 12 m/s from 260 degrees at 100 meters, and gusts add turbulence. GNSS signals suffer from multipath and interference, with jamming at -95 dBm, challenging navigation accuracy. The UAV carries a 1.5 kg payload with visual RGB camera guidance but lacks thermal and radar sensing. It must maintain separation of at least 25 meters from other air traffic, including a crossing UAV at 50 meters. A moving spherical obstacle drifts westward at 3 m/s near a critical waypoint. Radio link experiences brief outages, and battery reserve is set to 30% for safety. The mission requires runway-assisted takeoff and landing, with time-critical delivery within 10 minutes.",Continue direct route; visual camera shows clear path,Climb to 100m despite 12 m/s wind for faster transit,Descend below 30m AGL to avoid obstacle and wind,Abort mission; return due to GNSS signal loss,Reroute laterally within corridor to avoid obstacle,Accelerate through obstacle zone to save delivery time,Hover and wait for obstacle to clear the waypoint,"[""Continue direct route; visual camera shows clear path"", ""Climb to 100m despite 12 m/s wind for faster transit"", ""Descend below 30m AGL to avoid obstacle and wind"", ""Abort mission; return due to GNSS signal loss"", ""Reroute laterally within corridor to avoid obstacle"", ""Accelerate through obstacle zone to save delivery time"", ""Hover and wait for obstacle to clear the waypoint""]","Rerouting laterally maintains mission intent while avoiding collision, preserving human safety and airspace rules. It respects geofence, wind, and altitude constraints without endangering the delivery or violating separation. Other options risk control loss, violate operational limits, or unnecessarily abort a time-critical medical mission." 2025-11-01T17:56:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Underground_Mine_with_Strong_Crosswind_d555512361bd_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Underground_Mine_with_Strong_Crosswind,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Swarm of 4 octocopters with LiDAR, 8.5 m/s crosswinds, 10-min limit, and 5-m separation in confined mine airspace.","Emergency medical delivery mission using a swarm of four UAVs inside an underground mine. Flight occurs within a confined rectangular airspace bounded from 0.5 to 15 meters AGL. Strong crosswinds at 8.5 m/s from 240° and gusts up to 4.2 m/s challenge stability. UAVs are battery-powered octocopters carrying medical payloads with RGB cameras and LiDAR. GNSS is unavailable; navigation relies on IMU, barometer, magnetometer, and LiDAR. A cylindrical no-fly zone blocks the central path, requiring dynamic rerouting. A moving spherical obstacle drifts through the environment at 2.1 m/s. External UAV traffic crosses the corridor, increasing collision risk. Communication experiences two brief signal loss periods during the flight. Swarm must maintain 5-meter separation between drones and reach target within 10 minutes.",Fly straight paths at max speed to save time,Increase altitude to avoid moving obstacle,Reduce camera frame rate to conserve battery,Disable LiDAR to save power during signal loss,Cluster tightly to improve swarm communication,Reroute individually using shortest避障 paths,Hover briefly to reestablish lost communication,"[""Fly straight paths at max speed to save time"", ""Increase altitude to avoid moving obstacle"", ""Reduce camera frame rate to conserve battery"", ""Disable LiDAR to save power during signal loss"", ""Cluster tightly to improve swarm communication"", ""Reroute individually using shortest避障 paths"", ""Hover briefly to reestablish lost communication""]","Reducing camera frame rate cuts power without compromising navigation, preserving battery for gust resistance and LiDAR use. This balances sensor needs and endurance under wind stress. Other options increase collision risk, break separation, or waste energy." 2025-11-01T17:56:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Underground_Mine_d5117b4356af_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Underground_Mine,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,E,False,An 8 kg octocopter must deliver in 10 minutes with 45-second downlink loss and moving obstacles underground.,"This is an emergency medical delivery mission conducted inside an underground mine using a heavy-lift octocopter UAV. The UAV carries an 8 kg payload and relies on battery power, equipped with LiDAR, RGB and thermal cameras, IMU, magnetometer, and barometer but lacks GNSS due to the subterranean environment. The mine has poor visibility with snowfall and light wind from the southeast, creating challenging flight conditions. The flight area is constrained by a fixed geofenced corridor and includes a static no-fly zone cylinder near the center, along with a dynamically moving no-fly zone drifting southwest. A spherical moving obstacle travels westward across the path, requiring real-time avoidance. The UAV must reach the delivery waypoint within 10 minutes while maintaining safe separation from obstacles and other traffic. Another UAV is present, flying westward at low speed, necessitating detect-and-avoid compliance with a minimum separation of 8 meters. A GNSS jamming fault occurs mid-mission for 45 seconds, though GNSS is already unavailable underground, limiting its impact. Communication suffers from uplink failure and a 45-second downlink loss window, restricting remote control. The UAV must navigate autonomously using onboard sensors, avoid collisions, respect altitude and airspace boundaries, and land successfully at the designated site to complete the mission.",Rely solely on preloaded LiDAR map for navigation,Switch to IMU-barometer dead reckoning during comms loss,Accept unverified remote commands over unencrypted uplink,Disable obstacle avoidance to reduce sensor processing load,"Use encrypted, authenticated telemetry with local autonomy",Increase control loop frequency using magnetometer feedback,Land immediately upon first sign of sensor disagreement,"[""Rely solely on preloaded LiDAR map for navigation"", ""Switch to IMU-barometer dead reckoning during comms loss"", ""Accept unverified remote commands over unencrypted uplink"", ""Disable obstacle avoidance to reduce sensor processing load"", ""Use encrypted, authenticated telemetry with local autonomy"", ""Increase control loop frequency using magnetometer feedback"", ""Land immediately upon first sign of sensor disagreement""]","Encrypted and authenticated telemetry ensures command integrity despite uplink vulnerabilities. Onboard autonomy with sensor fusion maintains control during 45-second downlink loss. This option preserves mission continuity, avoids spoofing, and enables real-time obstacle avoidance without relying on compromised channels." 2025-11-01T17:56:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Corridor_Inspection_with_Heavy_Lift_UAV_7b5182b3f8f5_mcq.json,uavbench-mcq-v1,Coastal_Corridor_Inspection_with_Heavy_Lift_UAV,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,"Which UAV configuration best ensures mission success with 30% battery reserve, 25m separation, and LiDAR in dusty coastal winds?","This mission involves a coastal corridor inspection using a heavy-lift multirotor UAV equipped with RGB camera and LiDAR payload. The flight occurs in a defined coastal airspace with a rectangular geofenced corridor and both static and moving no-fly zones. Weather conditions include moderate winds from the southwest, gusts, and reduced visibility due to dust. The UAV operates within an altitude range of 15 to 120 meters AGL, avoiding a stationary cylindrical NFZ near the start and a dynamically moving obstacle and NFZ. A single traffic UAV enters the airspace from the east, flying westward at 12 m/s. The primary mission is to follow a predefined inspection route with three waypoints while maintaining safe separation of at least 25 meters and a TTC threshold of 15 seconds. GNSS signals may suffer from multipath effects near coastal structures, and visual conditions are degraded due to dust. The UAV must complete the mission within 600 seconds while preserving 30% battery reserve. Landing is planned at a designated site, with an emergency option available nearby.",Fixed-pitch rotors with lightweight frame and minimal redundancy,Dual GNSS modules with mechanical LiDAR stabilization,"Single IMU, no gust compensation, high-efficiency propellers",Visual-only navigation with battery-optimized cruise speed,Centralized flight controller with 200g payload margin,Acoustic sensors for obstacle detection in low visibility,"Redundant IMUs, adaptive gust rejection, and sensor-fused navigation","[""Fixed-pitch rotors with lightweight frame and minimal redundancy"", ""Dual GNSS modules with mechanical LiDAR stabilization"", ""Single IMU, no gust compensation, high-efficiency propellers"", ""Visual-only navigation with battery-optimized cruise speed"", ""Centralized flight controller with 200g payload margin"", ""Acoustic sensors for obstacle detection in low visibility"", ""Redundant IMUs, adaptive gust rejection, and sensor-fused navigation""]","System G integrates sensor fusion to mitigate GNSS multipath and dust-induced visual degradation, while adaptive control handles gusts. Redundant IMUs enhance reliability, and tight obstacle avoidance ensures 25m separation. Other systems fail in fault tolerance, environmental adaptability, or navigation accuracy under mission constraints." 2025-11-01T17:56:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Underground_Mine_with_Strong_Crosswind_df1ac05182bd_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Underground_Mine_with_Strong_Crosswind,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"Given 8.5 m/s crosswinds, GNSS denial, and two comms loss windows, which strategy ensures secure, stable navigation to the landing site?","This is an emergency medical delivery mission using a quadrotor UAV in an underground mine. The airspace is confined within a 100x80 meter polygon with a maximum altitude of 15 meters AGL. Strong crosswinds of 8.5 m/s from the west create challenging flight conditions, compounded by gusts up to 4 m/s and poor visibility due to dust hazards. The UAV is equipped with a battery-powered quadrotor configuration, carrying a 0.8 kg medical payload, and relies on IMU, magnetometer, barometer, LiDAR, and RGB camera for navigation due to the absence of GNSS. Significant environmental constraints include GNSS multipath effects, electromagnetic interference, and intermittent communication with two scheduled downlink/uplink loss windows. A static no-fly zone is present at the center of the mine, and a dynamic no-fly zone moves toward the southwest, requiring real-time avoidance. The UAV must maintain separation from both static and moving obstacles, including another UAV and a drifting spherical obstacle. Flight is restricted to low altitude with a minimum of 0.5 meters AGL and must avoid breaching geofences or coming within 5 meters of other traffic. The mission must be completed within 600 seconds, navigating a corridor pattern through four waypoints to deliver supplies to the preferred landing site.",Use encrypted telemetry with LiDAR-aided SLAM and authenticated command verification,Rely on magnetometer heading with open-loop IMU dead reckoning during comms loss,Switch to barometer-only altitude control when LiDAR degrades in dust,Transmit unencrypted video downlink to reduce authentication processing latency,Pre-program all waypoints using GNSS coordinates despite multipath effects,Disable intrusion detection to prioritize control loop frequency under EMI,Follow the drifting sphere’s path as a dynamic reference for relative navigation,"[""Use encrypted telemetry with LiDAR-aided SLAM and authenticated command verification"", ""Rely on magnetometer heading with open-loop IMU dead reckoning during comms loss"", ""Switch to barometer-only altitude control when LiDAR degrades in dust"", ""Transmit unencrypted video downlink to reduce authentication processing latency"", ""Pre-program all waypoints using GNSS coordinates despite multipath effects"", ""Disable intrusion detection to prioritize control loop frequency under EMI"", ""Follow the drifting sphere’s path as a dynamic reference for relative navigation""]","Encrypted telemetry ensures data integrity and confidentiality during uplink/downlink windows, while LiDAR-aided SLAM provides GNSS-denied localization resilience. Authenticating commands prevents spoofing attacks, and sensor fusion maintains control stability amid wind gusts and EMI, ensuring safe geofence compliance and mission completion." 2025-11-01T17:56:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Urban_Canyon_with_Swarm_Drones_3e6ef25a54dd_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Urban_Canyon_with_Swarm_Drones,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which drone system ensures 30% battery reserve, 8m swarm separation, and survives 30s GNSS jamming in 9 m/s winds?","Emergency medical delivery mission using a swarm of four drones in a dense urban canyon environment. Flight occurs within a confined 200m x 150m airspace corridor, with altitude restricted between 10m and 120m AGL. Adverse weather includes strong winds up to 9 m/s, poor visibility, lightning risk, and vertical wind shear with changing direction. The octocopter swarm drones carry medical payloads and are equipped with GNSS, IMU, lidar, RGB cameras, and redundant sensors. Significant GNSS challenges include multipath effects, jamming at -85 dBm, and a planned 30-second GNSS jamming fault. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves through the corridor, requiring real-time avoidance. Swarm formation enforces a minimum 8-meter separation between drones, with role-based coordination for navigation and relay. External air traffic and a moving spherical obstacle require DAA compliance with 15m separation and 10s time-to-closest-approach thresholds. Communication experiences periodic uplink/downlink outages, with minimum RSSI at -92 dBm affecting telemetry. Battery endurance is critical, with a 30% reserve required and tight 10-minute mission time constraint for delivery success.",Fixed-wing with long range but poor hover efficiency and no lidar,Quadcopter with lightweight frame but insufficient redundancy and endurance,Hexacopter with moderate payload but limited wind resistance and sensor suite,"Octocopter with GNSS/IMU fusion, lidar, and 10m/s wind tolerance",Hybrid VTOL with high speed but excessive power use and jamming vulnerability,Nano-drone swarm with low RSSI resilience and no 30s navigation backup,Single-rotor with high payload but slow response and poor formation control,"[""Fixed-wing with long range but poor hover efficiency and no lidar"", ""Quadcopter with lightweight frame but insufficient redundancy and endurance"", ""Hexacopter with moderate payload but limited wind resistance and sensor suite"", ""Octocopter with GNSS/IMU fusion, lidar, and 10m/s wind tolerance"", ""Hybrid VTOL with high speed but excessive power use and jamming vulnerability"", ""Nano-drone swarm with low RSSI resilience and no 30s navigation backup"", ""Single-rotor with high payload but slow response and poor formation control""]","The octocopter provides sufficient redundancy, sensor diversity, and wind resilience to handle GNSS faults and 9 m/s gusts. It supports swarm coordination, lidar-based navigation during jamming, and energy margins for the 10-minute mission. Other options fail in endurance, sensing, or environmental robustness under combined constraints." 2025-11-01T17:56:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Volcanic_Zone_0c410b59775a_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Volcanic_Zone,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During GNSS jamming at 150m AGL with 15 m/s winds, how should the UAV maintain position and control integrity?","Emergency medical delivery mission in a hazardous volcanic zone with poor visibility due to ash clouds. Flight occurs within a 300m AGL ceiling, bounded by static and moving no-fly zones, including a dynamic exclusion near a shifting hazard. Persistent gusty winds increase with altitude, reaching 15 m/s at 200m, with strong thermal updrafts near active plumes. A convertiplane UAV equipped with battery power carries a 2kg medical payload using both RGB and thermal cameras for navigation. GNSS signals suffer from multipath and interference, with a simulated jamming event degrading positioning mid-mission. The UAV must avoid a drifting cylindrical no-fly zone and a moving spherical obstacle while maintaining separation from other traffic. Flight requires runway-assisted takeoff and landing, with defined emergency landing sites available. Communication experiences brief uplink/downlink losses, requiring robust autonomy and sensor fusion. The mission must be completed within 10 minutes, navigating through a corridor of waypoints while managing energy reserves. Challenging aerodynamics, sensor degradation, and environmental hazards demand precise control and fault-tolerant navigation.",Rely solely on encrypted GNSS with anti-jam antenna,Switch to vision-thermal SLAM with LIDAR altimeter,Use unencrypted RTK-GNSS to regain signal lock,Engage open-loop dead reckoning from last fix,Accept spoofed GNSS and override with pilot command,Lock controls and descend using barometric hold,Transmit all telemetry in plaintext for lower latency,"[""Rely solely on encrypted GNSS with anti-jam antenna"", ""Switch to vision-thermal SLAM with LIDAR altimeter"", ""Use unencrypted RTK-GNSS to regain signal lock"", ""Engage open-loop dead reckoning from last fix"", ""Accept spoofed GNSS and override with pilot command"", ""Lock controls and descend using barometric hold"", ""Transmit all telemetry in plaintext for lower latency""]","Vision-thermal SLAM provides encrypted, authenticated sensor fusion independent of GNSS, ensuring control stability and integrity. It resists jamming and spoofing while maintaining situational awareness in ash-impaired visibility. This preserves availability and confidentiality without introducing untrusted actuation or communication." 2025-11-01T17:56:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Volcanic_Zone_with_Icing_Conditions_8582a1014a69_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Volcanic_Zone_with_Icing_Conditions,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"Which route avoids the moving no-fly zone and spherical obstacle, maintains 25m separation, and completes within 600s under 8 m/s winds?","This is an emergency medical delivery mission using a hexacopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs in a volcanic zone with restricted airspace bounded by a static geofence and a stationary no-fly cylinder at the center. A moving no-fly zone drifts slowly through the area, adding dynamic constraint complexity. The hexacopter carries a 1.5 kg medical payload and operates within an altitude range of 30 to 150 meters AGL. Weather conditions include strong 8 m/s winds from 240 degrees, gusts up to 4 m/s, poor visibility, and hazardous icing conditions. An icing event occurs mid-mission, reducing UAV performance for one minute with 60% severity. The mission must be completed within 600 seconds, following a corridor pattern through four waypoints toward the preferred landing site. The UAV must avoid a moving spherical obstacle and maintain safe separation from another UAV on a crossing path, with a minimum separation threshold of 25 meters. Communication experiences two brief downlink loss windows, and GNSS signal degradation due to volcanic terrain may introduce multipath errors, increasing navigation challenges.","Climb to 150m, direct path through all waypoints","Descend to 30m, bypass obstacle west, delay W3 by 45s","Hold at W2 for 60s, resume normal trajectory","Reroute north of moving NFZ, maintain 120m AGL","Fly low at 40m, cut between NFZ and obstacle",Abort mission after icing event at W1,Accelerate through obstacle zone at 18 m/s,"[""Climb to 150m, direct path through all waypoints"", ""Descend to 30m, bypass obstacle west, delay W3 by 45s"", ""Hold at W2 for 60s, resume normal trajectory"", ""Reroute north of moving NFZ, maintain 120m AGL"", ""Fly low at 40m, cut between NFZ and obstacle"", ""Abort mission after icing event at W1"", ""Accelerate through obstacle zone at 18 m/s""]","Option D avoids the moving no-fly zone and spherical obstacle while maintaining safe separation from the other UAV. It preserves optimal altitude for wind resistance and GNSS reliability, minimizing re-routing delay. Other options either breach restricted zones, induce collision risk, or fail time and performance constraints." 2025-11-01T17:56:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Wind_Farm_with_Low_Visibility_59efcfea4719_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Wind_Farm_with_Low_Visibility,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 210 seconds, UAV is at 110 m AGL, 14 m/s winds, GNSS -75 dBm; icing hits at 220 s. What immediate action minimizes risk?","This is an emergency medical delivery mission using a VTOL tiltrotor UAV equipped with RGB camera, LiDAR, and essential navigation sensors. The operation takes place within a wind farm located in a designated airspace polygon between 10 and 120 meters AGL. Weather conditions include poor visibility, icing risks, and strong winds up to 14 m/s increasing with altitude, with wind direction shifting from 240° to 270°. The UAV carries a 2 kg medical payload and relies solely on battery power with a 30% reserve requirement. Key constraints include a static no-fly zone around a central turbine and a moving no-fly zone drifting at 1.8 m/s. GNSS signals are degraded due to multipath effects and moderate jamming at -75 dBm, compounded by electromagnetic interference. The UAV must follow a runway-assisted takeoff and landing pattern, navigating around dynamic traffic and a drifting spherical obstacle. A simulated icing event occurs at 220 seconds, reducing performance for one minute. Communication experiences two brief downlink outage windows, and sensor fusion must compensate for unreliable GNSS. The mission must be completed within 600 seconds while maintaining minimum separation from obstacles and other aircraft.",Climb to 120 m AGL to avoid turbine turbulence,Descend to 10 m AGL and hold until icing passes,Maintain 110 m AGL and continue current heading,"Turn right, descend to 40 m AGL, head to runway",Accelerate and climb above 120 m AGL to escape wind shear,Enter loiter pattern at 60 m AGL near moving NFZ,Pitch down sharply and fly direct at 5 m AGL,"[""Climb to 120 m AGL to avoid turbine turbulence"", ""Descend to 10 m AGL and hold until icing passes"", ""Maintain 110 m AGL and continue current heading"", ""Turn right, descend to 40 m AGL, head to runway"", ""Accelerate and climb above 120 m AGL to escape wind shear"", ""Enter loiter pattern at 60 m AGL near moving NFZ"", ""Pitch down sharply and fly direct at 5 m AGL""]","Descending to 40 m AGL reduces exposure to stronger winds and icing risk above, while positioning for runway-assisted landing. It avoids the static NFZ, maintains separation from drifting obstacle, and conserves energy for reserve. Other options violate AGL limits, increase icing/wind risk, or compromise GNSS multipath near turbines." 2025-11-01T17:56:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Wind_Farm_with_Strong_Crosswind_774fab047912_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Wind_Farm_with_Strong_Crosswind,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"UAV must deliver medical payload in 600s within wind farm; crosswinds hit 16 m/s, intruder UAV within 25 m range—what action prioritizes safety and mission?","Fixed-wing UAV conducting an emergency medical delivery within a wind farm airspace. Mission takes place in a confined rectangular zone with a central no-fly cylinder and a designated runway. Strong crosswinds from the west increase with altitude, reaching 16 m/s at 100 m AGL, with wind shear and gusts up to 6 m/s. The UAV carries a 2 kg medical payload and is equipped with GNSS, IMU, lidar, camera, and other standard sensors. GNSS signals are degraded due to multipath effects and mild jamming at -75 dBm, with electromagnetic interference present. A thermal updraft near the flight path may affect altitude control. One intruder UAV moves westward at 18 m/s, requiring separation of at least 25 meters. A moving spherical obstacle drifts left at 5 m/s, adding dynamic collision risk. Communication experiences two brief downlink loss windows, and signal strength must remain above -85 dBm. The UAV must complete the corridor mission within 600 seconds, land at the preferred site, and maintain safe altitude and geofence compliance.",Continue mission at 100 m to avoid updrafts,Descend to 30 m to reduce wind exposure,Abort mission and land immediately at nearest site,Fly through no-fly cylinder to shorten route,Climb to 120 m for stronger GNSS signal,Match speed with intruder UAV to minimize drift risk,"Divert south, maintain 50 m AGL, land at alternate runway","[""Continue mission at 100 m to avoid updrafts"", ""Descend to 30 m to reduce wind exposure"", ""Abort mission and land immediately at nearest site"", ""Fly through no-fly cylinder to shorten route"", ""Climb to 120 m for stronger GNSS signal"", ""Match speed with intruder UAV to minimize drift risk"", ""Divert south, maintain 50 m AGL, land at alternate runway""]","Diverting south avoids the intruder UAV and no-fly zone while maintaining safe altitude and GNSS signal integrity. It preserves mission intent without violating airspace rules or risking collision. Other options breach geofencing, increase collision risk, or compromise control in high winds." 2025-11-01T17:56:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_via_Amphibious_UAV_in_Powerline_Corridor_f8112bbcf849_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_via_Amphibious_UAV_in_Powerline_Corridor,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 90 m AGL, winds 9.5 m/s from 240° with 3 m/s gusts: which navigation strategy maintains geofence integrity during approach?","Emergency medical delivery mission using an amphibious fixed-wing VTOL UAV in a powerline corridor. The UAV operates within a 10–120 m AGL altitude band, navigating a defined polygonal geofence. Weather includes moderate winds at 6 m/s from 240°, increasing to 9.5 m/s at 100 m with gusts up to 3 m/s. The UAV carries a 2 kg medical payload with standard aerodynamic drag. A no-fly zone is present as a static cylinder at (400, 300) and a dynamic one moving at (-2, 3) m/s. Additional moving obstacles include a drifting sphere near (500, 300, 45). Runway landing is required at (700, 500) with a 350 m approach aligned to heading 110°. Electromagnetic interference is present, but GNSS multipath is not a factor. Communication experiences two brief downlink loss windows of 15 seconds each. The UAV must complete the mission within 600 seconds while avoiding traffic and maintaining separation.",Rely solely on GNSS with EMI filtering,Use barometer-only altitude hold,"Fuse IMU, visual odometry, and wind-compensated GPS",Switch to LiDAR-only lateral control,Depend on magnetic heading and pitot tube,Use pre-programmed waypoints ignoring gusts,Disable sensor fusion during downlink loss,"[""Rely solely on GNSS with EMI filtering"", ""Use barometer-only altitude hold"", ""Fuse IMU, visual odometry, and wind-compensated GPS"", ""Switch to LiDAR-only lateral control"", ""Depend on magnetic heading and pitot tube"", ""Use pre-programmed waypoints ignoring gusts"", ""Disable sensor fusion during downlink loss""]",Wind gusts and EMI degrade GNSS and magnetic sensors; fusing IMU with visual odometry corrects drift while wind modeling improves path prediction. This maintains geofence compliance and approach accuracy despite sensor noise and environmental dynamics. Other options neglect redundancy or fail under crosswind and EMI stress. 2025-11-01T17:56:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_via_Solar_Wing_UAV_in_Powerline_Corridor_under_Microburst_Risk_c12e7c716fdd_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_via_Solar_Wing_UAV_in_Powerline_Corridor_under_Microburst_Risk,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"Given 8.5 m/s wind at 240°, 4.5 m/s gusts, and icing reducing lift, what airspeed and pitch adjustment maintains minimum 20 m altitude and avoids stall?","This scenario involves an emergency medical delivery using a solar-powered fixed-wing UAV within a narrow powerline corridor. The UAV operates under constrained airspace with a minimum altitude of 20 meters and a maximum of 120 meters above ground. Weather conditions include moderate wind at 8.5 m/s from 240 degrees, gusts up to 4.5 m/s, and a risk of microbursts causing sudden wind shifts. The UAV is equipped with a battery-powered propulsion system, RGB and thermal cameras, LIDAR, and full suite of navigation sensors. It carries a 2 kg medical payload and must avoid both static and dynamic no-fly zones, including a moving obstacle and a drifting restricted cylinder. GNSS signals are degraded due to multipath effects and an intentional jamming event lasting 30 seconds at -95 dBm. The mission must be completed within 600 seconds while maintaining separation from other traffic and adhering to detect-and-avoid thresholds. Icing conditions occur mid-mission, reducing aerodynamic efficiency, and communication dropouts are expected at two intervals. The UAV must follow a predefined corridor route, navigate around thermal updrafts, and land safely at a designated site while avoiding stalls and conserving battery.",Increase airspeed to 18 m/s and reduce pitch by 2°,Maintain 15 m/s and increase pitch to 10°,Reduce airspeed to 12 m/s and hold current pitch,Increase pitch to 12° and decrease thrust 10%,Descend to 18 m while reducing airspeed to 14 m/s,Turn 30° into wind and reduce pitch by 3°,Increase angle of attack beyond critical to climb rapidly,"[""Increase airspeed to 18 m/s and reduce pitch by 2°"", ""Maintain 15 m/s and increase pitch to 10°"", ""Reduce airspeed to 12 m/s and hold current pitch"", ""Increase pitch to 12° and decrease thrust 10%"", ""Descend to 18 m while reducing airspeed to 14 m/s"", ""Turn 30° into wind and reduce pitch by 3°"", ""Increase angle of attack beyond critical to climb rapidly""]","Increasing airspeed to 18 m/s boosts dynamic pressure and lift, compensating for reduced aerodynamic efficiency due to icing. Reducing pitch slightly prevents approach to stall angle under gust-induced angle of attack fluctuations. This balances lift, drag, and control authority while maintaining safe altitude and energy margin." 2025-11-01T17:56:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_with_Swarm_Drone_in_Indoor_Warehouse_under_Strong_Crosswind_95adf209b98b_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_with_Swarm_Drone_in_Indoor_Warehouse_under_Strong_Crosswind,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"With 8.5 m/s crosswinds and 120s left, the lead drone nears the no-fly zone—should it proceed, divert, or abort to ensure swarm safety?","This is an emergency medical delivery mission using a swarm of drones inside a warehouse. The indoor airspace spans 20x15 meters with a maximum altitude of 4.0 meters above ground. Strong crosswinds of 8.5 m/s from the west create challenging flight conditions despite the enclosed environment. The UAV is an eight-rotor swarm drone carrying a 0.8 kg medical payload with RGB camera and LiDAR for navigation. GNSS is unavailable indoors, so the drone relies on IMU, barometer, magnetometer, and LiDAR for positioning. A cylindrical no-fly zone is located at the center of the warehouse, and a moving spherical obstacle drifts near it. The swarm consists of four drones with defined roles: leader, two followers, and a relay, maintaining at least 2.0 meters separation. The mission must be completed within 600 seconds, following a corridor pattern through four waypoints. Communication experiences brief uplink/downlink loss windows, requiring resilient control. The drone must avoid collisions, respect airspace boundaries, and land at the preferred site while managing battery reserve.",Proceed through the no-fly zone to save time and deliver payload,"Divert around the obstacle, risking battery but maintaining separation",Abort mission immediately and land at nearest safe spot,"Ascend to 4.0 m to avoid drift, maximizing altitude clearance",Reduce separation to 1.0 m to tighten formation and reduce drag,Transfer payload to follower and self-destruct to prevent collision,Ignore LiDAR alerts and maintain current trajectory for on-time delivery,"[""Proceed through the no-fly zone to save time and deliver payload"", ""Divert around the obstacle, risking battery but maintaining separation"", ""Abort mission immediately and land at nearest safe spot"", ""Ascend to 4.0 m to avoid drift, maximizing altitude clearance"", ""Reduce separation to 1.0 m to tighten formation and reduce drag"", ""Transfer payload to follower and self-destruct to prevent collision"", ""Ignore LiDAR alerts and maintain current trajectory for on-time delivery""]","Diverting preserves the no-fly zone boundary and swarm separation while managing battery risk. It prioritizes safety and mission integrity over speed. Continuing or descending would violate spatial or operational constraints, endangering drones and payload." 2025-11-01T17:56:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Facade_Inspection_at_Industrial_Plant_under_Microburst_Risk_be844877c36c_mcq.json,uavbench-mcq-v1,Facade_Inspection_at_Industrial_Plant_under_Microburst_Risk,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 330 s, wind gusts hit 12.5 m/s, GNSS fails; UAV must maintain 10 m separation, corridor pattern, and 30% battery reserve.","This UAV mission involves a quadrotor conducting a facade inspection at an industrial plant. The operation takes place within a defined polygonal airspace bounded between 5 and 50 meters AGL. Weather conditions include strong 8 m/s winds from the west, gusts up to 4.5 m/s, and a risk of microbursts, increasing flight instability. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors for detailed visual inspection. A nearby no-fly zone in the form of a cylinder restricts access around a sensitive area. The flight must avoid a moving spherical obstacle drifting westward and maintain 10-meter separation from intruder UAV traffic. GNSS jamming is expected between 320 and 340 seconds, with corresponding communication loss, requiring robust navigation during that period. The UAV starts with a full 320 Wh battery and must complete the corridor-pattern waypoint mission within 600 seconds. Battery reserve is set at 30%, and low energy could impact mission success. The return and landing are planned at the preferred site unless an emergency arises.","Descend to 15 m AGL, reduce speed to 3 m/s, rely on LiDAR and IMU.","Climb to 45 m AGL for smoother air, double camera frame rate.","Hover at 25 m AGL until GNSS returns at 340 s, then resume.","Abort mission, divert to backup landing site using thermal map.",Increase speed to 8 m/s to finish before battery drops below 30%.,"Fly westward faster to use tailwind, accept 8 m separation.","Maintain 22 m AGL, 5 m/s, use optical flow and waypoint prediction.","[""Descend to 15 m AGL, reduce speed to 3 m/s, rely on LiDAR and IMU."", ""Climb to 45 m AGL for smoother air, double camera frame rate."", ""Hover at 25 m AGL until GNSS returns at 340 s, then resume."", ""Abort mission, divert to backup landing site using thermal map."", ""Increase speed to 8 m/s to finish before battery drops below 30%."", ""Fly westward faster to use tailwind, accept 8 m separation."", ""Maintain 22 m AGL, 5 m/s, use optical flow and waypoint prediction.""]","G balances aerodynamic stability in gusts, sustains navigation during GNSS outage via sensor fusion, and preserves energy while meeting separation and mission completion. Other options fail due to excessive energy use, loss of separation, or unsafe altitudes under wind shear. It optimally integrates flight control, energy, and navigation constraints." 2025-11-01T17:56:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Facade_Inspection_at_Wind_Farm_in_Snowfall_48b853c9bdd1_mcq.json,uavbench-mcq-v1,Facade_Inspection_at_Wind_Farm_in_Snowfall,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"A UAV must inspect 5 offshore wind turbine facades at 5–120 m AGL in 600 s with 30% battery reserve, 25 m/30 s DAA separation, and runway landing.","This UAV mission involves a facade inspection at an offshore wind farm using a convertiplane UAV equipped with RGB camera and LiDAR payload. The operation takes place within a defined polygonal airspace containing static and moving no-fly zones, including a central turbine exclusion cylinder and a drifting dynamic obstacle. Weather conditions include moderate snowfall, poor visibility, icing risk, and increasing wind speeds with altitude up to 11.5 m/s from 260 degrees. The UAV must maintain strict altitude bounds between 5 m and 120 m AGL while navigating near tall structures that induce GNSS multipath and electromagnetic interference. A key constraint is maintaining separation from another UAV entering the airspace on a crossing path, with DAA thresholds set at 25 m and 30 seconds TTC. The flight plan follows a corridor pattern with five inspection waypoints, requiring precise transitions between hover and forward flight. The UAV must also execute a runway-assisted landing, despite brief communication dropouts and potential icing affecting aerodynamics. Battery endurance is critical, with a 30% reserve mandated and reduced efficiency due to snow and manoeuvring drag. Navigation reliability is challenged by GNSS jamming at -75 dBm and intermittent signal loss, requiring robust sensor fusion. The mission succeeds only if all inspection points are covered within 600 seconds without collisions, NFZ breaches, or flight envelope violations.",Climb to 120 m AGL for faster transit between waypoints,Descend to 5 m AGL near turbines to reduce wind drift,Delay inspection to avoid dynamic obstacle drift path,"Proceed at 90 m AGL, adjust for DAA with crossing UAV",Skip last waypoint to preserve battery for landing,Land immediately on nearest turbine platform,Fly direct above exclusion cylinder at 110 m AGL,"[""Climb to 120 m AGL for faster transit between waypoints"", ""Descend to 5 m AGL near turbines to reduce wind drift"", ""Delay inspection to avoid dynamic obstacle drift path"", ""Proceed at 90 m AGL, adjust for DAA with crossing UAV"", ""Skip last waypoint to preserve battery for landing"", ""Land immediately on nearest turbine platform"", ""Fly direct above exclusion cylinder at 110 m AGL""]","Option D maintains safe separation (25 m/30 s TTC) from the crossing UAV while operating within the 5–120 m AGL band and avoiding NFZs. It balances time, altitude, and collision risk without sacrificing inspection completeness or reserve endurance. Other options violate NFZs, altitude limits, mission completeness, or landing requirements." 2025-11-01T17:56:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Facade_Inspection_in_Dense_Urban_Area_with_Microburst_Risk_16c7ac672d25_mcq.json,uavbench-mcq-v1,Facade_Inspection_in_Dense_Urban_Area_with_Microburst_Risk,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 9.5 m/s winds, a 30% battery reserve, and a 120–130s comms loss, which strategy maximizes facade inspection while ensuring safe return?","This UAV mission involves inspecting building facades in a dense urban environment. The octocopter operates within a defined airspace bounded between 5 and 60 meters AGL. It is equipped with a camera payload and sensors including GNSS, IMU, and LiDAR for navigation and data collection. Winds are strong at 9.5 m/s from 240 degrees with gusts up to 4.5 m/s, and there is a risk of microbursts. A static no-fly zone restricts access near the center of the area, and a dynamic no-fly zone moves unpredictably through the space. The UAV must avoid a moving spherical obstacle and maintain separation from another traffic UAV. Communication experiences a brief loss window between 120 and 130 seconds. The mission requires completing a corridor inspection pattern within 600 seconds. Battery reserve is set to 30%, and GNSS multipath effects may occur due to surrounding structures.",Fly at 60 m AGL to minimize wind drag and reduce LiDAR refresh rate,Ascend above 60 m to avoid microbursts despite airspace violation risk,Reduce camera resolution to save power and shorten inspection path,"Hover during comms loss to await signal, using IMU for position hold",Increase speed through dynamic zone to minimize exposure time,Use full GNSS updates every second to counter multipath errors,"Circle obstacle at max speed, prioritizing payload over flight stability","[""Fly at 60 m AGL to minimize wind drag and reduce LiDAR refresh rate"", ""Ascend above 60 m to avoid microbursts despite airspace violation risk"", ""Reduce camera resolution to save power and shorten inspection path"", ""Hover during comms loss to await signal, using IMU for position hold"", ""Increase speed through dynamic zone to minimize exposure time"", ""Use full GNSS updates every second to counter multipath errors"", ""Circle obstacle at max speed, prioritizing payload over flight stability""]","Reducing camera resolution lowers power consumption and data bandwidth needs, extending effective endurance. Shortening the inspection path conserves energy while ensuring mission completion within 600 seconds and reserve limits. Other options either increase energy use, violate constraints, or risk unsafe operation during comms loss or wind events." 2025-11-01T17:56:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Facade_Inspection_in_Dense_Urban_Dust_Conditions_7314fa224d92_mcq.json,uavbench-mcq-v1,Facade_Inspection_in_Dense_Urban_Dust_Conditions,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,D,False,"With 320 Wh battery, 30% reserve, and 600-second mission, what strategy maximizes inspection coverage while avoiding NFZ and moving obstacle?","This is an inspection mission in a dense urban environment with poor visibility due to dust. The UAV is a quadrotor equipped with RGB camera and LIDAR, operating within a defined airspace from 5 to 60 meters AGL. Winds are strong at 8 m/s from 240 degrees, with gusts up to 4.5 m/s, impacting flight stability. A no-fly zone cylinder is located at (50, 40) with a 10-meter radius and vertical limits from 5 to 30 meters. The UAV must follow a corridor pattern inspection route at 15 meters altitude while avoiding the NFZ and a moving spherical obstacle drifting west. Another UAV is present in the airspace, requiring separation maintenance with a 10-meter threshold and 5-second time-to-closest-approach limit. The mission begins at (10, 10, 10) with a 600-second time budget and requires return to a preferred landing site. GNSS multipath effects may occur due to urban structures, and sensor suite includes IMU, barometer, magnetometer, and GNSS for navigation. Battery capacity is 320 Wh with a 30% reserve, and performance is affected by drag and maneuvering in dusty, windy conditions.",Fly full speed throughout to finish early,Descend to 8 meters to reduce wind drag,Increase altitude to 50 meters to avoid dust,Reduce camera frame rate to save power,Circle NFZ closely to maintain inspection path,Climb continuously to improve GNSS signal,Hover for 30 seconds to stabilize sensors,"[""Fly full speed throughout to finish early"", ""Descend to 8 meters to reduce wind drag"", ""Increase altitude to 50 meters to avoid dust"", ""Reduce camera frame rate to save power"", ""Circle NFZ closely to maintain inspection path"", ""Climb continuously to improve GNSS signal"", ""Hover for 30 seconds to stabilize sensors""]","Reducing camera frame rate lowers power consumption, preserving battery for critical navigation and obstacle avoidance. It maintains mission utility without increasing risk or energy waste. Other options either increase drag, violate NFZ, or squander limited energy reserves." 2025-11-01T17:56:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Facade_Inspection_in_Dense_Urban_with_Lightning_Risk_051591fcefc0_mcq.json,uavbench-mcq-v1,Facade_Inspection_in_Dense_Urban_with_Lightning_Risk,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,Which UAV role best maintains swarm coordination during GNSS jamming at 25m AGL with 12 m/s winds?,"This is a facade inspection mission using a quadcopter swarm in dense urban airspace. The operation takes place within a 200m x 150m geofenced area with buildings and dynamic obstacles. Weather includes strong winds up to 12 m/s and a risk of lightning, requiring rapid mission completion. Four UAVs operate as a coordinated swarm with leader, follower, scout, and relay roles. Each drone is equipped with RGB cameras, LiDAR, and standard navigation sensors but lacks thermal imaging. The flight envelope is constrained between 5m and 120m AGL with a static no-fly cylinder near the center and a moving no-fly zone. GNSS signals are degraded by multipath effects and electromagnetic interference, with a simulated jamming event occurring mid-mission. Swarming drones must maintain at least 5m separation while avoiding a drifting spherical obstacle and other air traffic. The primary inspection path follows a corridor pattern at 25m altitude, avoiding high-risk zones. Strong wind shear and thermal updrafts add complexity to flight stability and energy management.",Leader: establishes primary flight path using LiDAR,"Follower: trails at 10m, conserving battery with low thrust","Scout: flies ahead, detecting obstacles with RGB camera",Relay: ensures inter-drone comms using mesh networking,"Backup: idles at edge, ready to replace failed unit","Mapper: builds 3D model, increasing processing load","Descender: drops to 5m, avoiding wind but losing link","[""Leader: establishes primary flight path using LiDAR"", ""Follower: trails at 10m, conserving battery with low thrust"", ""Scout: flies ahead, detecting obstacles with RGB camera"", ""Relay: ensures inter-drone comms using mesh networking"", ""Backup: idles at edge, ready to replace failed unit"", ""Mapper: builds 3D model, increasing processing load"", ""Descender: drops to 5m, avoiding wind but losing link""]","The relay drone sustains communication during GNSS degradation and jamming by maintaining mesh network integrity. It enables coordination despite reduced visibility and signal loss, ensuring swarm cohesion. Other roles either fail to address connectivity or increase vulnerability to wind and latency." 2025-11-01T17:56:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Facade_Inspection_in_Dense_Urban_with_Strong_Crosswind_7571491f88eb_mcq.json,uavbench-mcq-v1,Facade_Inspection_in_Dense_Urban_with_Strong_Crosswind,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"UAV at 25 kg with 8.5 m/s crosswinds must inspect below 150 m AGL, avoid dynamic no-fly zones, and complete in 600 s.","This is a facade inspection mission in a dense urban environment. The UAV operates between 10 m and 150 m AGL within a defined rectangular airspace. Strong crosswinds of 8.5 m/s from the west, with gusts up to 4.5 m/s, challenge flight stability. The UAV is a single-rotor helicopter equipped with RGB camera and LIDAR for visual inspection. It has a total mass of 25 kg, including a 2.5 kg payload, and relies on battery power with a reserve of 30%. A static no-fly zone blocks a central cylindrical area, while a second dynamic no-fly zone moves slowly through the airspace. The UAV must avoid a moving spherical obstacle and maintain 25 m separation from other traffic. GNSS multipath effects are likely due to urban canyon structures, impacting navigation accuracy. The mission requires completing a corridor inspection pattern within 600 seconds. Communication experiences a brief 10-second downlink loss during the flight.",Fly maximum speed to finish early and conserve energy,Descend to 10 m AGL to reduce wind exposure,Maintain 120 m AGL and reduce speed by 15% for stability,Rely solely on GNSS during downlink loss for navigation,Fly through static no-fly zone to shorten inspection path,Increase speed by 20% to compensate for downlink delay,Hover for 30 seconds to recalibrate sensors in strong gusts,"[""Fly maximum speed to finish early and conserve energy"", ""Descend to 10 m AGL to reduce wind exposure"", ""Maintain 120 m AGL and reduce speed by 15% for stability"", ""Rely solely on GNSS during downlink loss for navigation"", ""Fly through static no-fly zone to shorten inspection path"", ""Increase speed by 20% to compensate for downlink delay"", ""Hover for 30 seconds to recalibrate sensors in strong gusts""]","Maintaining 120 m AGL balances aerodynamic stability against wind and GNSS multipath effects, while reduced speed improves control and inspection accuracy. It conserves energy within 30% reserve and avoids both no-fly zones. This choice satisfies safety, navigation, energy, and mission duration constraints under dynamic conditions." 2025-11-01T17:56:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Facade_Inspection_in_Foggy_Powerline_Corridor_02d163775aa8_mcq.json,uavbench-mcq-v1,Facade_Inspection_in_Foggy_Powerline_Corridor,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which system ensures reliable navigation with 0.7 kg payload, GNSS degradation, and 30% energy reserve over 600 s?","This UAV mission involves inspecting infrastructure along a powerline corridor using an octocopter equipped with RGB camera and LiDAR. The flight occurs in poor visibility due to fog, with icing conditions and moderate winds increasing from 6.5 m/s at ground level to 8.0 m/s at 50 meters altitude. The UAV operates within a defined polygonal airspace between 10 and 120 meters AGL, avoiding static and moving no-fly zones near critical infrastructure. GNSS signals are degraded by multipath effects and electromagnetic interference, with occasional communication dropouts. The octocopter carries a 0.7 kg payload and relies on battery power, requiring careful energy management with a 30% reserve. A dynamic obstacle moves through the corridor, and another UAV travels in the opposite direction, necessitating separation monitoring. Thermal updrafts near the center of the area may affect stability, and an icing event reduces performance midway through the mission. The UAV must complete its inspection route within 600 seconds while maintaining safe distances and avoiding collisions. Communication links experience brief losses, and the mission success depends on navigating environmental and technical challenges without breaching constraints.",Monocular vision-only with lightweight processor,Dual RTK-GPS with high-power redundancy,LiDAR-SLAM fused with IMU and barometer,Ultrasonic-only altimeter with basic GPS,Visual-inertial odometry without LiDAR,High-frequency radio triangulation system,Standalone GNSS with minimal sensor input,"[""Monocular vision-only with lightweight processor"", ""Dual RTK-GPS with high-power redundancy"", ""LiDAR-SLAM fused with IMU and barometer"", ""Ultrasonic-only altimeter with basic GPS"", ""Visual-inertial odometry without LiDAR"", ""High-frequency radio triangulation system"", ""Standalone GNSS with minimal sensor input""]","LiDAR-SLAM fused with IMU and barometer provides robust positioning under GNSS degradation and fog, while maintaining accuracy despite multipath and EM interference. It efficiently supports the 0.7 kg payload and conserves energy better than redundant high-power systems. This integration ensures reliable obstacle tracking, stability in winds up to 8.0 m/s, and adherence to the 30% reserve over 600 seconds." 2025-11-01T17:56:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Facade_Inspection_in_Forest_with_Convertiplane_under_Hot_Conditions_114c63930814_mcq.json,uavbench-mcq-v1,Facade_Inspection_in_Forest_with_Convertiplane_under_Hot_Conditions,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"At 120s, GNSS degrades with 15 m/s winds; how should navigation adapt using sensor fusion?","This is a facade inspection mission using a convertiplane UAV in a forested environment. The operation takes place within a defined rectangular geofence, with terrain following flight required between 5 and 120 meters AGL. Weather conditions include strong winds up to 15 m/s increasing with altitude, gusts of 4.5 m/s, and good visibility. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, powered solely by a 1200 Wh battery. A static no-fly zone and a moving obstacle restrict parts of the airspace, with the latter shifting westward at 1.7 m/s. The mission requires runway-assisted takeoff and landing, with transitions between vertical and fixed-wing flight taking up to 10 seconds. GNSS signals are degraded due to multipath effects and electromagnetic interference, with brief communication outages expected at 120 and 400 seconds into the mission. A second UAV operates nearby, requiring separation monitoring to maintain at least 25 meters distance. Thermal updrafts are present near the center of the area, potentially affecting flight stability. The mission must be completed within 600 seconds while avoiding stalls, collisions, and airspace violations.",Rely solely on GNSS to maintain geofence accuracy,Switch to pure IMU dead reckoning for 60 seconds,Increase LiDAR update rate to compensate for drift,Fuse IMU and visual odometry during GNSS outage,Use thermal camera to detect terrain contrast,Descend to 5 m AGL to reduce wind influence,Align heading using magnetometer during multipath,"[""Rely solely on GNSS to maintain geofence accuracy"", ""Switch to pure IMU dead reckoning for 60 seconds"", ""Increase LiDAR update rate to compensate for drift"", ""Fuse IMU and visual odometry during GNSS outage"", ""Use thermal camera to detect terrain contrast"", ""Descend to 5 m AGL to reduce wind influence"", ""Align heading using magnetometer during multipath""]","GNSS multipath and outages necessitate fallback to IMU-visual fusion for continuity. Visual odometry counters IMU drift while LiDAR may suffer occlusion in forests. D integrates motion and vision data, maintaining accuracy without violating environmental or sensor constraints." 2025-11-01T17:56:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Facade_Inspection_in_Forest_with_Hail_eea6b0fdc29c_mcq.json,uavbench-mcq-v1,Facade_Inspection_in_Forest_with_Hail,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which system ensures navigation and safety at 40m AGL with 15 m/s winds, icing, and GNSS degradation?","This UAV mission involves a facade inspection in a forested area using a fixed-wing glider equipped with RGB camera and LiDAR payload. The flight occurs within a defined polygonal airspace bounded between 10 and 120 meters AGL, featuring a central static no-fly zone and a moving cylindrical restriction. Weather conditions include strong winds up to 15 m/s increasing with altitude, poor visibility, and active hail, creating challenging flight dynamics. A significant icing event occurs mid-mission, degrading performance for one minute. The UAV must navigate around a dynamically moving obstacle and avoid conflicting with an opposing UAV traffic path. GNSS signals are degraded due to multipath effects and electromagnetic interference, with brief communication link losses during the flight. Thermal updrafts are present near the center of the area, potentially aiding lift if exploited. The mission follows a rectangular corridor pattern with four waypoints at 40 meters altitude, requiring precise navigation under wind shear and sensor limitations. Battery reserves are critical due to increased drag and power demand in turbulent, cold conditions. Success depends on maintaining separation, avoiding no-fly zones, and completing the route within the 10-minute time limit despite environmental faults.",Monocular vision-only navigation with no inertial backup,GNSS-dependent autopilot with basic waypoint tracking,LiDAR-INS sensor fusion with adaptive wind compensation,Thermal-only lift detection without obstacle mapping,Open-loop timer-based turn triggers at each waypoint,RF triangulation relying on distant ground stations,Pure GPS orbit following ignoring dynamic obstacles,"[""Monocular vision-only navigation with no inertial backup"", ""GNSS-dependent autopilot with basic waypoint tracking"", ""LiDAR-INS sensor fusion with adaptive wind compensation"", ""Thermal-only lift detection without obstacle mapping"", ""Open-loop timer-based turn triggers at each waypoint"", ""RF triangulation relying on distant ground stations"", ""Pure GPS orbit following ignoring dynamic obstacles""]",LiDAR-INS fusion provides accurate positioning despite GNSS degradation and multipath. It enables real-time obstacle avoidance and maintains trajectory in wind shear. Adaptive control compensates for icing-induced drag and preserves battery-limited endurance. 2025-11-01T17:56:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Facade_Inspection_in_Forest_with_Octocopter_under_Cold_Extremes_b541e4074fb9_mcq.json,uavbench-mcq-v1,Facade_Inspection_in_Forest_with_Octocopter_under_Cold_Extremes,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"At 180s, icing reduces UAV performance during a 600s facade inspection with 30% battery reserve required and strong SW winds.","This mission involves a facade inspection using an octocopter equipped with RGB and thermal cameras, LIDAR, and standard navigation sensors. The operation takes place within a forested airspace bounded by a static geofence and two no-fly zones, one of which is dynamically moving. Weather conditions include strong winds from the southwest, gusts, snowfall, and icing, with poor visibility throughout. The UAV must operate between 10 and 120 meters AGL, navigating around a fixed cylindrical NFZ near the center and avoiding a drifting obstacle. A thermal updraft is present near the southern edge, potentially affecting stability. GNSS signals suffer from multipath interference, and electromagnetic interference is present, challenging navigation accuracy. The UAV must complete a rectangular corridor inspection pattern within 600 seconds while maintaining safe separation from a single traffic UAV and a moving spherical obstacle. An icing fault event will occur at 180 seconds, reducing performance for one minute. The mission emphasizes battery management under cold, high-drain conditions, with 30% reserve required, starting from a designated spawn and returning to a preferred landing site.",Continue mission; accept slower progress due to icing,Descend to 10m AGL to reduce wind exposure and save power,Abort mission immediately to prevent uncontrolled descent,Enter thermal updraft to regain stability and extend range,Fly through moving NFZ to shorten route and conserve energy,"Land at nearest clear spot, ignoring preferred recovery site",Prioritize thermal scan over LIDAR to detect structural risks,"[""Continue mission; accept slower progress due to icing"", ""Descend to 10m AGL to reduce wind exposure and save power"", ""Abort mission immediately to prevent uncontrolled descent"", ""Enter thermal updraft to regain stability and extend range"", ""Fly through moving NFZ to shorten route and conserve energy"", ""Land at nearest clear spot, ignoring preferred recovery site"", ""Prioritize thermal scan over LIDAR to detect structural risks""]","Continuing the mission balances safety and operational duty, as the UAV can tolerate temporary performance loss within battery and altitude constraints. Aborting or deviating (B-F) violates mission integrity or airspace laws. A respects geofence, traffic separation, and reserve margins while managing risk." 2025-11-01T17:56:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Facade_Inspection_in_Forest_with_Thermal_Updrafts_704e97acff39_mcq.json,uavbench-mcq-v1,Facade_Inspection_in_Forest_with_Thermal_Updrafts,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 580s, 20m from landing, comms lost for 12s with 32% battery, moving obstacle drifting northeast—proceed or divert?","This UAV mission involves facade inspection in a forested area using a convertiplane equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs within a defined polygonal airspace bounded from 5 to 120 meters AGL, featuring a static no-fly zone near the center and a moving no-fly cylinder drifting northeast. Weather includes steady winds at 6 m/s from 240° increasing with altitude, gusts up to 3.5 m/s, and thermal updrafts reaching 2.5 m/s vertical velocity near the center of the area. GNSS performance is degraded due to multipath effects and electromagnetic interference, with intermittent comms losses at specific times. The UAV must follow a corridor inspection pattern across five waypoints while avoiding traffic and a moving spherical obstacle. It is constrained by required runway use for takeoff and landing, with transition times between VTOL and fixed-wing modes. Battery capacity is limited to 650 Wh, with a 30% reserve required, and energy use influenced by drag and maneuvering. Separation from other traffic must exceed 25 meters or 15 seconds time-to-closest-approach to avoid DAA breaches. The mission must complete within 600 seconds, returning to a preferred landing site near the runway threshold. Success depends on completing the route without collisions, geofence violations, or critical system faults.",Continue approach; obstacle is 40m away and moving parallel,Climb to 110m AGL to overfly the drifting obstacle quickly,"Abort landing, reroute west to avoid obstacle and comms dead zone",Descend rapidly below 30m to slip under obstacle's path,Hover at 50m until obstacle passes; maintain current position,Switch to thermal-only guidance and land immediately,Execute emergency VTOL landing at nearest clear patch,"[""Continue approach; obstacle is 40m away and moving parallel"", ""Climb to 110m AGL to overfly the drifting obstacle quickly"", ""Abort landing, reroute west to avoid obstacle and comms dead zone"", ""Descend rapidly below 30m to slip under obstacle's path"", ""Hover at 50m until obstacle passes; maintain current position"", ""Switch to thermal-only guidance and land immediately"", ""Execute emergency VTOL landing at nearest clear patch""]","Proceeding (A, D, F, G) risks collision or loss of control in degraded comms and sensor conditions. Climbing (B) increases energy use and proximity to the geofence. Hovering (E) risks battery depletion and traffic conflict. C balances safety, compliance, and mission continuity by proactively avoiding the obstacle and communication hazard while preserving reserve energy and staying within controlled airspace." 2025-11-01T17:56:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Facade_Inspection_in_Powerline_Corridor_with_Microburst_Risk_a375fc9a36e1_mcq.json,uavbench-mcq-v1,Facade_Inspection_in_Powerline_Corridor_with_Microburst_Risk,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 150 s, wind gusts reach 13 m/s from 240°; UAV is at 65 m AGL, 16 m/s. What immediate action maximizes safety and mission success?","This is an inspection mission using an octocopter UAV equipped with RGB camera and LiDAR, operating within a powerline corridor. The flight area is a rectangular geofenced zone with a static no-fly cylinder and a moving no-fly zone that drifts southwest. The UAV must navigate between four waypoints along the corridor while avoiding obstacles and maintaining safe separation. Weather includes strong winds from 240° at 8.5 m/s with gusts up to 4.5 m/s and a risk of microbursts, increasing flight instability. The UAV operates between 5 m and 90 m AGL with a maximum speed of 18 m/s and carries a 1.2 kg payload. A traffic UAV enters from the east at 12 m/s, and a spherical moving obstacle drifts west at 3 m/s. The mission must be completed within 600 seconds, with communication dropouts occurring between 120–135 s and 400–410 s. GNSS signals may suffer multipath effects near powerline structures, and the UAV must maintain at least 25 m separation from other traffic. Battery endurance is limited, with a reserve of 30% required, and the UAV must land at the preferred site unless an emergency arises.",Descend to 45 m AGL to reduce wind exposure,Climb to 85 m AGL for smoother airflow,Reduce speed to 10 m/s and maintain altitude,Accelerate to 18 m/s to exit wind shear zone,Turn east to avoid moving obstacle and traffic,Hold hover at reduced thrust to stabilize sensors,Proceed to next waypoint at current settings,"[""Descend to 45 m AGL to reduce wind exposure"", ""Climb to 85 m AGL for smoother airflow"", ""Reduce speed to 10 m/s and maintain altitude"", ""Accelerate to 18 m/s to exit wind shear zone"", ""Turn east to avoid moving obstacle and traffic"", ""Hold hover at reduced thrust to stabilize sensors"", ""Proceed to next waypoint at current settings""]","Reducing speed improves control authority in gusts while conserving energy and maintaining safe separation. At 65 m AGL, the UAV avoids ground effects and powerline multipath, balancing aerodynamic stability and navigation accuracy. This choice preserves battery, ensures LiDAR/RGB data quality, and complies with dynamic obstacle avoidance under communication constraints." 2025-11-01T17:56:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Facade_Inspection_in_Suburban_Area_with_Convertiplane_1346b07a6c49_mcq.json,uavbench-mcq-v1,Facade_Inspection_in_Suburban_Area_with_Convertiplane,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,E,False,"At 25 m altitude with 6 m/s wind from 240°, what minimizes drag during a 270° heading inspection run?","This is a facade inspection mission using a convertiplane UAV in a suburban airspace. The UAV operates within a defined rectangular geofence with a minimum altitude of 10 meters and a maximum of 120 meters AGL. Weather conditions include a 6 m/s wind from 240 degrees with moderate gusts up to 3.5 m/s, though visibility is good. The convertiplane has a hybrid VTOL design, equipped with RGB camera and LIDAR payload for visual inspection. A no-fly zone cylinder is present near the center of the area, restricting access between 10 and 60 meters altitude within a 20-meter radius. The mission follows a corridor pattern at 25 meters altitude, requiring runway-assisted takeoff and landing aligned with a 270-degree heading. The UAV must avoid a moving spherical obstacle traveling westward at 2 m/s and maintain separation from other air traffic. Communication includes two short downlink loss windows, requiring robust data handling. GNSS multipath effects may occur due to suburban structures, and RF link quality must remain above -85 dBm. The mission must complete within 600 seconds while preserving 30% battery reserve and avoiding all airspace violations.",Increase angle of attack to 12° for more lift,Reduce airspeed to 8 m/s to save battery,Bank 15° into the wind to maintain track,Pitch down to decrease induced drag,Fly at 16 m/s with zero sideslip,Extend flaps for better camera stability,Hover at 25 m using vertical thrust,"[""Increase angle of attack to 12° for more lift"", ""Reduce airspeed to 8 m/s to save battery"", ""Bank 15° into the wind to maintain track"", ""Pitch down to decrease induced drag"", ""Fly at 16 m/s with zero sideslip"", ""Extend flaps for better camera stability"", ""Hover at 25 m using vertical thrust""]","Flying at 16 m/s near minimum drag speed balances thrust and aerodynamic efficiency while countering crosswind drift. Zero sideslip reduces parasitic drag and maintains GNSS accuracy. Other options increase drag, risk stall, or violate altitude or motion constraints." 2025-11-01T17:56:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Facade_Inspection_in_Suburban_Fog_with_Octocopter_4239a7bee37c_mcq.json,uavbench-mcq-v1,Facade_Inspection_in_Suburban_Fog_with_Octocopter,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"Given fog reduces visibility to 50m and GNSS degrades near structures, which fusion strategy ensures reliable navigation within 5–60m AGL and avoids the 20m-radius no-fly zone?","This is a facade inspection mission using an octocopter in a suburban environment. The UAV is equipped with RGB camera and LiDAR payload for visual data collection. The operation takes place in poor visibility due to fog, with moderate winds from 240 degrees and gusts up to 3.2 m/s. The flight is confined to an airspace between 5 and 60 meters AGL, within a defined polygonal geofence. A cylindrical no-fly zone of 20-meter radius is located near the center of the area, extending from 5 to 30 meters altitude. The mission follows a corridor inspection pattern with five key waypoints, requiring close proximity to structures. A moving spherical obstacle drifts westward at 2 m/s, adding dynamic collision risk. There is also another UAV in the airspace approaching from the southeast, requiring separation management. GNSS signals may be degraded due to suburban multipath, and brief communication dropouts are expected at specific times. The UAV must complete the inspection within 600 seconds while maintaining safe separation and battery reserves.",Prioritize GNSS with IMU smoothing despite multipath errors,Switch to LiDAR-IMU fusion when GNSS signal degrades,Rely solely on visual odometry in moderate wind gusts,"Use GPS waypoints only, ignoring real-time obstacle drift",Disable LiDAR to reduce power load in fog,Follow visual path without fusing wind compensation,Trust uncorrected magnetic heading near suburban structures,"[""Prioritize GNSS with IMU smoothing despite multipath errors"", ""Switch to LiDAR-IMU fusion when GNSS signal degrades"", ""Rely solely on visual odometry in moderate wind gusts"", ""Use GPS waypoints only, ignoring real-time obstacle drift"", ""Disable LiDAR to reduce power load in fog"", ""Follow visual path without fusing wind compensation"", ""Trust uncorrected magnetic heading near suburban structures""]",LiDAR-IMU fusion maintains positional accuracy during GNSS degradation caused by suburban multipath and fog-induced visual limitations. It enables real-time obstacle avoidance for the drifting sphere and respects the cylindrical no-fly zone. This method adapts to environmental constraints while preserving navigation integrity and sensor redundancy. 2025-11-01T17:56:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Glider_Swarm_Coordination_107f69194de2_mcq.json,uavbench-mcq-v1,Desert_Glider_Swarm_Coordination,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"With 15 m/s winds and sandstorm visibility, which strategy maximizes mapping coverage while preserving battery for glidepath return?","This mission involves a swarm of four glider UAVs performing a corridor mapping task in a desert environment. The operation takes place within a defined 3 km by 2 km airspace, bounded between 10 m and 450 m AGL, with a static no-fly zone near the center and a moving restricted zone. Strong winds up to 15 m/s increase with altitude and shift direction, while thermal updrafts provide potential lift opportunities. A sandstorm is present, reducing visibility and increasing environmental risk. The gliders are battery-powered, equipped with RGB cameras and standard sensors, but face GNSS multipath effects, electromagnetic interference, and a planned GNSS jamming event. The swarm must coordinate roles including leader, scouts, and a relay node, maintaining at least 30 m separation. They must avoid a moving spherical obstacle and an opposing UAV traffic crossing their path. Communication dropouts are expected between 200–210 s and 400–420 s, challenging data relay. The mission requires a runway approach for landing and includes fault conditions like icing and partial GNSS failure.",Climb continuously using thermals to extend range,Fly direct paths at minimum safe altitude to save power,Increase camera frame rate for better sandstorm imaging,Maintain V formation to reduce aerodynamic drag,Hover in updrafts while relaying data to conserve energy,Deploy full camera array and transmit continuously to ground,Descend early to land before jamming event at 400 s,"[""Climb continuously using thermals to extend range"", ""Fly direct paths at minimum safe altitude to save power"", ""Increase camera frame rate for better sandstorm imaging"", ""Maintain V formation to reduce aerodynamic drag"", ""Hover in updrafts while relaying data to conserve energy"", ""Deploy full camera array and transmit continuously to ground"", ""Descend early to land before jamming event at 400 s""]",Flying direct at minimum safe altitude reduces exposure to high winds and conserves battery by minimizing climb energy. This ensures sufficient power reserve for the required runway approach despite communication dropouts and partial GNSS failure. Other options either increase power draw or risk premature energy depletion. 2025-11-01T17:56:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Firefighting_Drop_VTOL_Tiltrotor_Wind_Farm_Rain_4fae6529df76_mcq.json,uavbench-mcq-v1,Firefighting_Drop_VTOL_Tiltrotor_Wind_Farm_Rain,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"At 180 m AGL in rain and 15 m/s winds, UAV faces icing fault and drifting NFZ. Retardant dropped. Return now with GNSS degraded.","VTOL tiltrotor UAV conducts firefighting drop mission in a wind farm environment. Operating within a defined polygonal airspace bounded between 5 and 200 meters AGL. Adverse weather includes steady rain, icing conditions, poor visibility, and strong winds. Wind increases with altitude, reaching 15 m/s at 200 m with shifting direction. UAV equipped with RGB and thermal cameras, LiDAR, and GNSS/IMU suite for navigation. Payload includes firefighting retardant with added drag and mass. Mission constrained by static and moving no-fly zones, including a drifting dynamic exclusion zone. GNSS signals degraded by multipath, jamming, and electromagnetic interference. Icing event fault simulated mid-mission, reducing performance for one minute. UAV must manage energy reserves, avoid traffic and obstacles, and return for runway landing.","Descend to 50 m AGL, avoid wind farm, fly direct to runway","Climb to 200 m for stronger GNSS, then proceed to runway",Maintain 180 m AGL to preserve energy and visibility,Divert to alternate landing site beyond wind farm,Circle at 100 m AGL until icing fault clears,Fly at 10 m AGL through wind farm to minimize wind exposure,Accelerate through NFZ to save time and energy,"[""Descend to 50 m AGL, avoid wind farm, fly direct to runway"", ""Climb to 200 m for stronger GNSS, then proceed to runway"", ""Maintain 180 m AGL to preserve energy and visibility"", ""Divert to alternate landing site beyond wind farm"", ""Circle at 100 m AGL until icing fault clears"", ""Fly at 10 m AGL through wind farm to minimize wind exposure"", ""Accelerate through NFZ to save time and energy""]",Descending to 50 m AGL reduces wind and icing risk while staying above minimum altitude. It avoids the drifting NFZ and wind farm turbulence. Direct return ensures runway landing within energy margins despite GNSS degradation. 2025-11-01T17:56:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Firefighting_Drop_at_Airport_Perimeter_0289eda3c84d_mcq.json,uavbench-mcq-v1,Firefighting_Drop_at_Airport_Perimeter,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"Given 6 m/s south wind, 10 kg payload, and 120 m AGL limit, what airspeed adjustment optimizes corridor tracking during eastbound legs?","This is a firefighting drop mission near an airport perimeter using an octocopter UAV equipped with RGB and thermal cameras, LiDAR, and a 10 kg payload. The operation takes place in controlled airspace with a maximum altitude of 120 m AGL and a geofenced rectangular area. A static no-fly zone and a moving no-fly zone create dynamic constraints. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV traveling at 15 m/s. Wind is from the south at 6 m/s with gusts up to 3.5 m/s, but visibility is good. The mission involves a corridor pattern with five waypoints and a 10-minute time budget. The UAV spawns at (50, 50, 15) and must return to a preferred landing site. GNSS signals may experience multipath due to proximity to airport infrastructure. Communication links experience brief outages between 120–130 s and 400–415 s.",Increase airspeed by 8 m/s to counteract headwind component,Decrease airspeed to 10 m/s to reduce induced drag,Maintain 15 m/s airspeed regardless of wind vector,Fly at minimum power speed to extend loiter time,Trim for zero angle of attack to minimize profile drag,Reduce thrust to match groundspeed with wind component,Increase angle of attack to maximize lift coefficient,"[""Increase airspeed by 8 m/s to counteract headwind component"", ""Decrease airspeed to 10 m/s to reduce induced drag"", ""Maintain 15 m/s airspeed regardless of wind vector"", ""Fly at minimum power speed to extend loiter time"", ""Trim for zero angle of attack to minimize profile drag"", ""Reduce thrust to match groundspeed with wind component"", ""Increase angle of attack to maximize lift coefficient""]","Flying eastbound with a south wind creates a crosswind; increasing airspeed by 8 m/s compensates for wind drift and maintains ground track accuracy. This adjustment preserves lift margin and control authority without exceeding structural limits. Other choices either reduce controllability or misalign forces, risking deviation from the corridor." 2025-11-01T17:56:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Facade_Inspection_with_Glider_in_Dense_Urban_Area_with_Thermal_Updrafts_5b05f94f90d2_mcq.json,uavbench-mcq-v1,Facade_Inspection_with_Glider_in_Dense_Urban_Area_with_Thermal_Updrafts,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 110m AGL with 6.2 m/s winds from 240°, GNSS degrades near buildings. How to maintain navigation integrity?","This is a facade inspection mission using a fixed-wing glider UAV equipped with RGB and thermal cameras, operating in a dense urban environment. The flight occurs within a 200m x 200m geofenced area bounded between 5m and 120m AGL, with a primary no-fly zone centered at (150,150) and a moving no-fly zone drifting near (100,100). Weather includes moderate winds at 6.2 m/s from 240°, increasing with altitude, and two active thermal updraft zones that can assist glider lift. GNSS multipath and electromagnetic interference are present, degrading navigation accuracy near buildings. The UAV must avoid obstacles including a moving spherical object and a manned UAV traveling at 12 m/s on a diagonal path. The mission follows a corridor pattern over four waypoints at low altitude, requiring precise navigation despite sensor degradations. Thermal updrafts offer potential energy gains but must be exploited carefully within tight maneuvering constraints. Separation minima are set at 10m and 5s TTC to ensure detect-and-avoid compliance. Battery reserves are set at 30%, and the flight must complete within 600 seconds while avoiding stalls and collisions. The glider’s low drag and efficient aerodynamics are critical for endurance under these urban challenges.",Rely solely on GNSS with Kalman filtering,Switch to IMU-only dead reckoning,"Fuse IMU, visual odometry, and barometric altitude",Use thermal camera for landmark tracking,Descend immediately to avoid wind shear,Increase airspeed to reduce drift,Follow magnetic heading despite interference,"[""Rely solely on GNSS with Kalman filtering"", ""Switch to IMU-only dead reckoning"", ""Fuse IMU, visual odometry, and barometric altitude"", ""Use thermal camera for landmark tracking"", ""Descend immediately to avoid wind shear"", ""Increase airspeed to reduce drift"", ""Follow magnetic heading despite interference""]","GNSS multipath and electromagnetic interference degrade positioning near buildings, requiring sensor fusion to maintain accuracy. IMU and visual odometry provide short-term motion estimates, while barometric altitude complements vertical awareness in updrafts. This fusion strategy preserves navigation integrity despite wind and signal degradation." 2025-11-01T17:56:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Firefighting_Drop_at_Airport_Perimeter_with_Microburst_Risk_22f39bb3d34f_mcq.json,uavbench-mcq-v1,Firefighting_Drop_at_Airport_Perimeter_with_Microburst_Risk,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,UAV must complete 4-waypoint drop mission below 120 m AGL with 25s GNSS loss and 600s limit amid wind shear and moving obstacles.,"This is a firefighting drop mission near an airport perimeter using a battery-powered convertiplane UAV equipped with thermal and RGB cameras, lidar, and GNSS/IMU sensors. The UAV carries a 5 kg payload and operates within a defined airspace polygon from 5 to 120 meters AGL. Winds are strong with a surface speed of 8.5 m/s from 240°, increasing to 13.5 m/s at 100 m, and a microburst risk is present. The environment includes GNSS multipath, electromagnetic interference, and a temporary GNSS jamming event lasting 25 seconds. A static no-fly zone and a moving no-fly cylinder must be avoided, along with a slow-moving spherical obstacle. The UAV must follow a corridor pattern through four waypoints and land on a runway aligned at 260°, requiring precise transition between VTOL and forward flight. Air traffic includes another UAV entering the airspace from the south boundary. Communication experiences two brief downlink/uplink loss windows, and the mission must complete within 600 seconds. Key constraints include maintaining separation from traffic, avoiding geofence and altitude violations, and managing battery reserve. The mission is challenged by wind shear, sensor faults, and dynamic obstacles in a complex airport environment.","Climb to 110 m AGL, maintain forward speed above 18 m/s throughout",Delay takeoff 45 seconds to let other UAV clear southern boundary,Descend to 15 m AGL after second waypoint to reduce wind exposure,"Divert immediately upon GNSS loss, fly direct to runway at 40 m/s",Reduce speed to 12 m/s and climb to 100 m AGL after microburst detection,"Follow corridor at 80 m AGL, adjust heading every 15s for crosswind drift",Execute emergency hover at third waypoint during uplink loss window,"[""Climb to 110 m AGL, maintain forward speed above 18 m/s throughout"", ""Delay takeoff 45 seconds to let other UAV clear southern boundary"", ""Descend to 15 m AGL after second waypoint to reduce wind exposure"", ""Divert immediately upon GNSS loss, fly direct to runway at 40 m/s"", ""Reduce speed to 12 m/s and climb to 100 m AGL after microburst detection"", ""Follow corridor at 80 m AGL, adjust heading every 15s for crosswind drift"", ""Execute emergency hover at third waypoint during uplink loss window""]","Flying at 80 m AGL balances wind shear avoidance and separation from ground obstacles while staying clear of microburst core near the surface. It maintains corridor adherence and compensates for 13.5 m/s winds at altitude with active drift correction, preserving energy and GNSS-reliant navigation during jamming. Other options violate endurance, increase exposure to wind shear, or risk NFZ incursion due to poor situational awareness." 2025-11-01T17:56:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Firefighting_Drop_at_Industrial_Plant_in_Rain_9f08ba134055_mcq.json,uavbench-mcq-v1,Firefighting_Drop_at_Industrial_Plant_in_Rain,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"UAV faces icing at 200m AGL, 8 mins into 10-min drop mission, winds 15 knots, 25m separation from incoming UAV.","This is a firefighting drop mission at an industrial plant using a high-altitude pseudo-satellite UAV equipped with radar, RGB, and thermal cameras. The operation takes place in poor visibility due to rain and icing conditions, with moderate to strong winds increasing with altitude and shifting direction. The UAV must navigate within a defined polygonal airspace bounded between 50 and 300 meters AGL, avoiding static and moving no-fly zones. A critical no-fly cylinder is located near the center of the site, and a dynamic obstacle moves through the airspace during the mission. GNSS signals are degraded by multipath effects and interference, with brief communication loss periods, requiring robust navigation. The UAV carries a 15 kg payload and must complete its drop pattern along a corridor of waypoints within a 10-minute time budget. It faces an icing event mid-mission, reducing performance, and must contend with electromagnetic interference and wind gusts. Traffic from another UAV entering the area adds separation risk, with a 25-meter minimum separation requirement. The mission emphasizes battery management, fault resilience, and adherence to geofencing, with emergency and preferred landing zones designated outside high-risk areas. Success depends on precise path planning, sensor reliability, and maintaining command and control despite environmental and technical challenges.",Continue drop; prioritize mission completion over separation,Abort and reroute to emergency landing; preserve aircraft,Descend to 40m AGL to avoid wind; complete partial drop,Climb to 310m; escape icing and traffic conflict,Hover at current position; wait for GNSS recovery,Eject payload early over industrial zone; reduce weight,Divert to preferred landing; safeguard public and C2 integrity,"[""Continue drop; prioritize mission completion over separation"", ""Abort and reroute to emergency landing; preserve aircraft"", ""Descend to 40m AGL to avoid wind; complete partial drop"", ""Climb to 310m; escape icing and traffic conflict"", ""Hover at current position; wait for GNSS recovery"", ""Eject payload early over industrial zone; reduce weight"", ""Divert to preferred landing; safeguard public and C2 integrity""]","Public safety and command integrity outweigh mission objectives. Diverting avoids collision risk, respects geofencing, and mitigates icing and communication loss. Other options violate altitude limits, endanger assets, or abandon separation protocols." 2025-11-01T17:56:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Firefighting_Drop_at_Industrial_Plant_with_Dusty_Conditions_c2d4d1719386_mcq.json,uavbench-mcq-v1,Firefighting_Drop_at_Industrial_Plant_with_Dusty_Conditions,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,F,False,"At 440s, 20s before comms outage, UAV detects second UAV at 22m distance, 12s time-to-collision. Wind 6 m/s. What action prioritizes safety?","This UAV mission involves firefighting water drops at an industrial plant using an amphibious fixed-wing VTOL drone equipped with RGB and thermal cameras. The operation takes place within a confined 200m x 150m airspace with a maximum altitude of 120m AGL and a minimum of 5m. Dusty conditions reduce visibility, complicating navigation and sensor performance, while a 6 m/s wind from 240° with gusts up to 3.5 m/s affects stability and energy use. The UAV must avoid two no-fly zones: a static cylinder near the center and a moving cylinder drifting northeast, in addition to a spherical dynamic obstacle. A second UAV is present in the airspace, requiring a 25-meter separation to avoid collision, with a time-to-collision threshold of 15 seconds for detect-and-avoid compliance. The drone carries a 3kg payload and relies on GNSS, IMU, lidar, and other sensors, though dust may cause GNSS multipath and degrade positioning accuracy. Communication experiences brief downlink outages between 200–210s and 450–460s, requiring robust autonomy. The mission follows a corridor pattern with five waypoints, demanding precise transitions between hover and forward flight within a 10-minute time limit. The UAV must return to a runway-aligned takeoff and landing zone, with a preferred landing site at the far end of the area. Energy management is critical due to high hover power draw and a 30% battery reserve requirement.",Continue mission; trust detect-and-avoid system,Climb to 110m to avoid collision,Descend below 5m to exit shared airspace,Abort mission immediately and land,Hover to reassess; maintain current position,Accelerate forward to exit conflict zone,Execute lateral avoidance maneuver maintaining 120m altitude,"[""Continue mission; trust detect-and-avoid system"", ""Climb to 110m to avoid collision"", ""Descend below 5m to exit shared airspace"", ""Abort mission immediately and land"", ""Hover to reassess; maintain current position"", ""Accelerate forward to exit conflict zone"", ""Execute lateral avoidance maneuver maintaining 120m altitude""]","Accelerating forward reduces time-in-risk and avoids violating minimum separation while respecting altitude and mission constraints. Hovering or descending breaches safety margins; climbing or lateral moves risk dynamic obstacles. Continuing without action violates collision avoidance protocols before comms blackout, where autonomy must proactively ensure safety." 2025-11-01T17:56:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Firefighting_Drop_in_Dense_Urban_Area_with_Microburst_Risk_ba5f8ffc4a43_mcq.json,uavbench-mcq-v1,Firefighting_Drop_in_Dense_Urban_Area_with_Microburst_Risk,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During GNSS jamming and 30% battery reserve, which action maintains corridor navigation and swarm separation in urban canyons?","This mission involves a firefighting drop operation in a dense urban airspace using a high-altitude pseudo-satellite UAV equipped with thermal and RGB cameras, LiDAR, and radar. The UAV operates under poor visibility and faces a microburst risk with strong, gusty winds shifting direction and increasing speed with altitude. It must navigate around static and dynamic no-fly zones, including a moving obstacle and a temporary restricted zone near a runway approach path. GNSS signals are degraded due to multipath effects and intentional jamming, compounded by electromagnetic interference. The UAV must maintain strict separation from other air traffic and swarm members while executing a corridor pattern over four waypoints. A runway landing is required, with designated preferred and emergency sites. Battery endurance is critical, with a 30% reserve mandated and fault events including GNSS jamming and icing that affect performance. The urban canyon environment challenges navigation and communication, with periodic downlink outages. Mission success depends on precise energy management, obstacle avoidance, and resilience to environmental and system faults.",Rely solely on encrypted GNSS with anti-spoofing filters,Switch to LiDAR-aided inertial navigation with radar updates,Increase telemetry transmission power to reduce packet loss,Use open Wi-Fi networks for position triangulation,Upload unverified trajectory commands from ground station,Disable intrusion detection to reduce flight control latency,Descend to lower altitude for stronger GNSS signal,"[""Rely solely on encrypted GNSS with anti-spoofing filters"", ""Switch to LiDAR-aided inertial navigation with radar updates"", ""Increase telemetry transmission power to reduce packet loss"", ""Use open Wi-Fi networks for position triangulation"", ""Upload unverified trajectory commands from ground station"", ""Disable intrusion detection to reduce flight control latency"", ""Descend to lower altitude for stronger GNSS signal""]","LiDAR and inertial navigation provide GNSS-denied positioning with high integrity, preserving control stability. Radar updates enhance situational awareness while maintaining encrypted, authenticated sensor fusion. This ensures resilient navigation and swarm separation despite jamming and urban multipath." 2025-11-01T17:56:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Firefighting_Drop_in_Industrial_Plant_with_Lightning_Risk_21af1885d63c_mcq.json,uavbench-mcq-v1,Firefighting_Drop_in_Industrial_Plant_with_Lightning_Risk,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 300s, GNSS jamming (70% severity) and comms loss occur in 6 m/s winds; what action balances swarm safety, navigation, and energy?","This is a firefighting drop mission using a swarm of four drones in an industrial plant environment. The airspace is confined to a 200m x 150m polygon with a cylindrical no-fly zone around a critical structure. Drones operate between 5m and 120m AGL, following a corridor pattern over hotspots to deliver suppressant. Weather includes moderate winds from 240° at 6 m/s with gusts up to 3.5 m/s and a risk of lightning. Each UAV is an octocopter with thermal and RGB cameras, carrying a 1kg payload for fire detection and drop accuracy. The swarm must maintain at least 10m separation between units and avoid a moving spherical obstacle near the center. A GNSS jamming fault occurs at 300 seconds, lasting 20 seconds with 70% severity, coinciding with a comms loss window. The mission has a 600-second time budget and requires safe return despite battery reserve constraints and potential signal degradation. Lightning risk and GNSS multipath near industrial structures add operational complexity.",Climb to 120m for better signal and wind clearance,Descend to 10m and hover using optical flow,Maintain current altitude and route with inertial navigation,Return immediately at maximum speed to base,Disperse laterally to 50m separation to avoid collisions,Reduce speed to 3 m/s to improve control stability,Circle hotspot at 30m altitude using thermal guidance,"[""Climb to 120m for better signal and wind clearance"", ""Descend to 10m and hover using optical flow"", ""Maintain current altitude and route with inertial navigation"", ""Return immediately at maximum speed to base"", ""Disperse laterally to 50m separation to avoid collisions"", ""Reduce speed to 3 m/s to improve control stability"", ""Circle hotspot at 30m altitude using thermal guidance""]","Maintaining altitude ensures aerodynamic efficiency in 6 m/s winds and avoids ground effect instability near 10m. Inertial navigation sustains swarm coordination during 20s GNSS/comms loss without energy-intensive maneuvers. This balances safety, energy, and mission continuity under multipath and lightning risks." 2025-11-01T17:56:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Firefighting_Drop_in_Powerline_Corridor_under_Microburst_Risk_288bd30c9527_mcq.json,uavbench-mcq-v1,Firefighting_Drop_in_Powerline_Corridor_under_Microburst_Risk,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"At 85m AGL, winds gust to 18.5 m/s with GNSS degradation. Microburst risk is high. How should the UAV respond to maintain mission safety and corridor alignment?","This is a firefighting drop mission using an octocopter UAV equipped with RGB and thermal cameras, operating within a narrow powerline corridor. The airspace is constrained between 10 and 120 meters AGL, with a static no-fly zone near the center and a moving restricted zone drifting southwest. The environment features strong and increasing winds with altitude, gusting up to 18.5 m/s, and a high risk of microbursts causing sudden wind shifts. Visibility is poor, and the UAV must navigate around thermal updrafts near the fire area while avoiding a moving spherical obstacle. The UAV is subject to GNSS signal degradation due to multipath effects, electromagnetic interference, and periodic signal jamming. Downlink communication is lost intermittently, limiting telemetry and control feedback during critical phases. The mission requires precise navigation along a predefined corridor pattern to deliver payload drops within a 600-second window. A second UAV is present in the airspace, moving perpendicular to the primary route, requiring separation assurance. Battery endurance is limited, with reserve margins and energy consumption affected by drag and wind resistance. An IMU sensor fault is expected mid-mission, introducing navigation bias that must be managed without full GPS reliability.",Climb to 110m AGL to reduce turbulence exposure,Descend to 15m AGL and slow to 8 m/s,Hold altitude and increase forward speed to 14 m/s,Execute lateral offset to avoid thermal updrafts,Turn back toward launch and climb to 120m,Descend to 10m AGL and proceed at minimum speed,Maintain 85m AGL and engage thermal camera stabilization,"[""Climb to 110m AGL to reduce turbulence exposure"", ""Descend to 15m AGL and slow to 8 m/s"", ""Hold altitude and increase forward speed to 14 m/s"", ""Execute lateral offset to avoid thermal updrafts"", ""Turn back toward launch and climb to 120m"", ""Descend to 10m AGL and proceed at minimum speed"", ""Maintain 85m AGL and engage thermal camera stabilization""]","Descending to 15m AGL reduces wind exposure and stays within the 10–120m AGL band while improving GNSS multipath resilience near terrain. It avoids microburst risks at higher altitudes and conserves energy against strong headwinds. Other options either exceed wind tolerance, increase navigation error, or violate separation and endurance constraints." 2025-11-01T17:56:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Arctic_VTOL_Transition_Test_in_Extreme_Heat_98c143a8d140_mcq.json,uavbench-mcq-v1,Fixed-Wing_Arctic_VTOL_Transition_Test_in_Extreme_Heat,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Given 8 m/s winds, 1.2 kg payload, and comms loss at 120s and 400s, which action maximizes mapping completion and safe return?","Fixed-wing UAV conducts a VTOL transition test in Arctic airspace under extreme heat conditions. Mission type is aerial mapping with a grid waypoint pattern. The UAV operates within a defined polygonal airspace boundary between 50 and 300 meters AGL. Weather includes 8 m/s winds from 270° with 4 m/s gusts, but good visibility and no adverse phenomena. The UAV is battery-powered with a 1.2 kg visual camera payload and standard avionics including GNSS and IMU. A cylindrical no-fly zone is located at (500, 200) with a 50-meter radius and 50–200 meter vertical limits. Runway use is required, with designated threshold at (0, 0, 50) and heading 90°. A second UAV enters the airspace from the east at 20 m/s, requiring separation management. A moving spherical obstacle drifts westward at 2 m/s near the center of the area. Communication experiences brief uplink/downlink loss windows at 120s and 400s.",Increase speed to 25 m/s to finish early,Reduce camera resolution to save power,Climb to 300 m for better coverage,Hover at waypoints to stabilize imaging,Abort mission after first comms loss,Fly downwind legs only to save energy,Shorten grid spacing for higher fidelity,"[""Increase speed to 25 m/s to finish early"", ""Reduce camera resolution to save power"", ""Climb to 300 m for better coverage"", ""Hover at waypoints to stabilize imaging"", ""Abort mission after first comms loss"", ""Fly downwind legs only to save energy"", ""Shorten grid spacing for higher fidelity""]","Reducing camera resolution lowers power draw, preserving battery for critical phases amid comms blackouts and wind. It maintains mission progress without extending flight time or risking energy shortfall. Other options either increase consumption or compromise safety and coverage." 2025-11-01T17:56:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_BVLOS_Offshore_Inspection_in_Hot_Conditions_b4405d71c90d_mcq.json,uavbench-mcq-v1,Fixed-Wing_BVLOS_Offshore_Inspection_in_Hot_Conditions,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Plan return path under 8 m/s 225° winds, 300 m AGL max, 50 m separation from moving obstacles and NFZ.","Fixed-wing UAV conducts offshore inspection beyond visual line of sight. Mission takes place near an offshore platform with a defined airspace corridor. Weather features 8 m/s winds from 225 degrees with moderate gusts and good visibility. UAV is battery-powered with a 1200 Wh energy capacity and 15 kg total mass. Payload includes RGB and thermal cameras plus radar for detection. Flight altitude is restricted between 50 m and 300 m AGL. A cylindrical no-fly zone surrounds a critical platform structure. A second UAV and a moving spherical obstacle require dynamic separation. Minimum separation is 50 m with a time-to-conflict threshold of 30 seconds. The UAV must return to a designated runway aligned with 225-degree heading.",Descend to 40 m AGL for shorter glide approach,Fly direct at 300 m AGL into 225° wind,"Circle west of NFZ at 280 m AGL, delay 90 s",Cut inside cylindrical NFZ to save 120 m distance,Adjust heading 45° left to reduce crosswind drift,Climb to 310 m AGL for clearer radar return,"Reroute east, maintain 250 m AGL, align with 225° runway","[""Descend to 40 m AGL for shorter glide approach"", ""Fly direct at 300 m AGL into 225° wind"", ""Circle west of NFZ at 280 m AGL, delay 90 s"", ""Cut inside cylindrical NFZ to save 120 m distance"", ""Adjust heading 45° left to reduce crosswind drift"", ""Climb to 310 m AGL for clearer radar return"", ""Reroute east, maintain 250 m AGL, align with 225° runway""]","Option G maintains safe 50 m separation from dynamic obstacles and avoids the NFZ while staying within 50–300 m AGL limits. It accounts for 8 m/s wind from 225° by selecting an efficient reroute that aligns with the runway heading without excessive altitude changes. Other choices violate altitude, proximity, or flight path constraints, increasing risk or energy use." 2025-11-01T17:56:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Border_Patrol_Along_Powerline_Corridor_in_Rain_d012ee4b27c0_mcq.json,uavbench-mcq-v1,Fixed-Wing_Border_Patrol_Along_Powerline_Corridor_in_Rain,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"At 170m AGL, 30% battery, and icing onset, strong winds push UAV toward restricted no-fly zone. What action prioritizes safety and compliance?","Fixed-wing UAV conducts border patrol and powerline inspection in a narrow corridor under rainy and poor visibility conditions. The mission occurs in a restricted airspace with a minimum altitude of 60 meters and maximum of 180 meters AGL. Strong winds up to 8 m/s with gusts and directional shear are present, increasing with altitude. The UAV is equipped with radar, RGB and thermal cameras, and operates on battery power with a 30% reserve requirement. GNSS signals suffer from multipath and moderate jamming, while electromagnetic interference and icing conditions pose additional risks. A static no-fly zone and a moving no-fly cylinder create dynamic constraints, requiring real-time avoidance. Another UAV and a slow-moving spherical obstacle traverse the airspace, enforcing strict separation requirements. The mission demands precise navigation due to limited comms windows and potential sensor faults, especially during an induced icing event. Takeoff and landing must occur on a designated runway, with only one emergency landing site available.",Descend to 60m AGL to avoid wind shear and maintain altitude compliance,Continue mission; use radar to track obstacles and adjust course slightly,Climb to 185m AGL for smoother airflow above wind gusts,Turn back immediately toward runway while maintaining 170m AGL,Enter no-fly zone briefly to avoid collision with spherical obstacle,Land at nearest point outside designated runway due to icing risk,Hold position until comms window opens for command override,"[""Descend to 60m AGL to avoid wind shear and maintain altitude compliance"", ""Continue mission; use radar to track obstacles and adjust course slightly"", ""Climb to 185m AGL for smoother airflow above wind gusts"", ""Turn back immediately toward runway while maintaining 170m AGL"", ""Enter no-fly zone briefly to avoid collision with spherical obstacle"", ""Land at nearest point outside designated runway due to icing risk"", ""Hold position until comms window opens for command override""]","Descending to minimum safe altitude avoids wind-related loss of control and prevents entry into restricted airspace. It complies with altitude limits, preserves battery, and prioritizes deconfliction over mission continuation. Other options risk legal violation, unsafe landings, or inadequate response to dynamic hazards." 2025-11-01T17:56:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Bridge_Survey_with_Thermal_Updrafts_d66ae9787b83_mcq.json,uavbench-mcq-v1,Fixed-Wing_Bridge_Survey_with_Thermal_Updrafts,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"At 60 m AGL, with a westbound intruder at 18 m/s and thermal updrafts of 2.5 m/s, what action maintains safety and mission integrity?","Fixed-wing UAV conducts a bridge survey mission in a designated airspace near a river. The flight occurs within a rectangular geofenced area bounded between 30 and 120 meters AGL. Moderate winds of 6 m/s from 240° are present, with gusts up to 4 m/s and good visibility. Thermal updrafts near the bridge supports lift, located at two hotspots with vertical velocities up to 2.5 m/s. The UAV carries both RGB and thermal cameras for structural inspection and heat signature detection. A no-fly cylinder restricts access around the bridge center, requiring careful path planning. The mission follows a corridor-style survey pattern with five waypoints at a constant 60 meters AGL. A distant intruder UAV approaches from the north, moving westward at 18 m/s, posing separation concerns. Radio communication experiences two brief downlink loss windows during the flight. Flight operations must adhere to runway requirements for takeoff and landing at the eastern threshold.",Climb to 110 m AGL to avoid intruder,Descend to 35 m AGL and continue survey,Hold altitude and proceed through corridor,Abort mission and return to eastern runway,"Descend to 40 m AGL, then divert around no-fly cylinder",Climb to 120 m AGL and orbit hotspot,Reduce speed to 12 m/s and maintain course,"[""Climb to 110 m AGL to avoid intruder"", ""Descend to 35 m AGL and continue survey"", ""Hold altitude and proceed through corridor"", ""Abort mission and return to eastern runway"", ""Descend to 40 m AGL, then divert around no-fly cylinder"", ""Climb to 120 m AGL and orbit hotspot"", ""Reduce speed to 12 m/s and maintain course""]","Descending to 35 m AGL remains within the 30–120 m AGL geofence and reduces collision risk by vertically separating from the higher-speed intruder. It avoids the no-fly cylinder, maintains sensor coverage, and leverages updrafts efficiently while preserving communication and runway alignment for recovery." 2025-11-01T17:57:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Corridor_Inspection_in_Icing_Conditions_0e4a9a30deb2_mcq.json,uavbench-mcq-v1,Fixed-Wing_Corridor_Inspection_in_Icing_Conditions,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"At 85m AGL, 11 m/s winds, and GNSS degradation, how should the UAV adjust heading and coordination with the second UAV near waypoint 2?","Fixed-wing UAV conducts corridor inspection mission within an industrial plant. Flight occurs between 20 and 120 meters AGL in a defined polygonal airspace with a central no-fly cylinder. Mission includes three inspection waypoints requiring precise navigation along a narrow corridor. UAV is equipped with RGB camera, LIDAR, and standard navigation sensors but no thermal imager. Weather includes icing conditions and moderate winds increasing with altitude, up to 11 m/s at 100 m. Wind direction shifts from 240° at ground to 260° aloft, requiring heading adjustments. GNSS signals are degraded due to multipath and electromagnetic interference. An icing event occurs mid-mission, reducing aerodynamic performance for one minute. A second UAV and a moving spherical obstacle pose collision risks requiring DAA compliance. Mission requires runway-aligned takeoff and landing with communication dropouts near 180 and 350 seconds.",Descend to 20m for stable GNSS and reduced wind,Maintain altitude and align heading to 260°,Climb to 120m for faster mission completion,Hover at waypoint 2 until communication resumes,Reverse course to avoid spherical obstacle,Match speed with second UAV for formation flight,Adjust heading to 240° and reduce airspeed by 15%,"[""Descend to 20m for stable GNSS and reduced wind"", ""Maintain altitude and align heading to 260°"", ""Climb to 120m for faster mission completion"", ""Hover at waypoint 2 until communication resumes"", ""Reverse course to avoid spherical obstacle"", ""Match speed with second UAV for formation flight"", ""Adjust heading to 240° and reduce airspeed by 15%""]","Wind shift to 260° aloft requires heading alignment to maintain track and energy efficiency. Maintaining 85m AGL ensures corridor clearance and LIDAR coverage while respecting the central no-fly cylinder. B ensures trajectory fidelity and inter-agent spacing under GNSS degradation, avoiding collision risks with the second UAV and spherical obstacle." 2025-11-01T17:57:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Facade_Inspection_at_Airport_Perimeter_under_Hot_Conditions_e620a64f5f4e_mcq.json,uavbench-mcq-v1,Fixed-Wing_Facade_Inspection_at_Airport_Perimeter_under_Hot_Conditions,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,Two UAVs inspect airport facade at 40 m AGL with 8 m/s westerly winds; how should they coordinate near the 50-m no-fly cylinder?,"Fixed-wing UAV conducts facade inspection mission near airport perimeter. Operating in controlled airspace with maximum altitude of 120 meters AGL. Mission occurs under hot conditions with strong westerly winds at 8 m/s and gusts up to 4 m/s. UAV equipped with RGB and thermal cameras for visual inspection tasks. Features a 5.2 kg platform with 0.8 kg payload and 800 Wh battery supporting extended flight. Flight path follows a rectangular corridor pattern at 40 meters AGL totaling five waypoints. No-fly zone enforced as a cylinder of 50-meter radius centered at (250, 250) from 20 to 100 meters. Runway operations require coordination, with threshold at (0, 250) aligned to heading 90 degrees. Separation minima set at 25 meters and 20 seconds time-to-close for detect-and-avoid compliance. GNSS signals may experience multipath effects near airport structures affecting navigation accuracy.",Both fly clockwise at 25 m separation to minimize closure time,"Stagger altitude: one at 30 m, one at 50 m to avoid conflict",Share real-time GNSS corrections to improve navigation near structures,Synchronize speed to 12 m/s to reduce exposure to wind gusts,Operate in tandem through no-fly zone to maintain visual contact,Alternate waypoints to double coverage while resting batteries,Maintain 20-second time gap on same path for thermal revisit,"[""Both fly clockwise at 25 m separation to minimize closure time"", ""Stagger altitude: one at 30 m, one at 50 m to avoid conflict"", ""Share real-time GNSS corrections to improve navigation near structures"", ""Synchronize speed to 12 m/s to reduce exposure to wind gusts"", ""Operate in tandem through no-fly zone to maintain visual contact"", ""Alternate waypoints to double coverage while resting batteries"", ""Maintain 20-second time gap on same path for thermal revisit""]","Sharing GNSS corrections improves situational awareness and navigation accuracy for both agents under multipath conditions. This enhances coordinated path fidelity while maintaining safe separation. Other options violate separation minima, enter restricted airspace, or disrupt timing and formation integrity." 2025-11-01T17:57:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Facade_Inspection_in_Forest_with_Strong_Crosswind_79cd58a17e14_mcq.json,uavbench-mcq-v1,Fixed-Wing_Facade_Inspection_in_Forest_with_Strong_Crosswind,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Fixed-wing UAV has 600s mission time, 30% battery reserve, and faces 12 m/s crosswinds; how to optimize facade inspection in forested corridor?","Fixed-wing UAV conducts facade inspection in a forested area using a corridor flight pattern. The mission operates within a defined airspace bounded by a 400m x 300m polygon and altitude limits from 15m to 120m AGL. Strong crosswinds of 12 m/s from the west, with gusts up to 6 m/s, challenge aircraft stability. The UAV is equipped with an RGB camera payload for visual inspection and relies on standard sensors including GNSS, IMU, and barometer. A no-fly zone cylinder is present at the center of the area, requiring avoidance maneuvers. The UAV must maintain separation of at least 25 meters from other traffic, with a traffic conflict expected from a UAV approaching from the south. Communication includes two brief downlink loss windows, requiring resilient data handling. Flight must conclude within a 600-second time budget and requires use of a designated runway for landing. Battery endurance is critical, with a reserve fraction of 30% and no alternative energy source. GNSS multipath effects may occur near dense tree cover, impacting navigation accuracy near obstacles.",Fly maximum altitude to avoid trees and reduce GNSS multipath,Shorten inspection path and reduce camera resolution,Circle no-fly zone at low speed for detailed imaging,Descend to 15m AGL to minimize crosswind exposure,Increase camera frame rate for better data capture,Extend flight time by using 10% battery reserve,Hover near conflict zone to ensure separation,"[""Fly maximum altitude to avoid trees and reduce GNSS multipath"", ""Shorten inspection path and reduce camera resolution"", ""Circle no-fly zone at low speed for detailed imaging"", ""Descend to 15m AGL to minimize crosswind exposure"", ""Increase camera frame rate for better data capture"", ""Extend flight time by using 10% battery reserve"", ""Hover near conflict zone to ensure separation""]","Reducing camera resolution lowers power consumption, preserving battery for critical flight maneuvers. Shortening the path conserves energy and time, ensuring return within the 600s limit and 30% reserve. Other options increase energy use or risk navigation errors in high wind and dense terrain." 2025-11-01T17:57:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Forest_Corridor_Follow_2a2ca9cac0ab_mcq.json,uavbench-mcq-v1,Fixed-Wing_Forest_Corridor_Follow,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"UAV must inspect corridor, avoid no-fly zone at (25,150), and return in under 600 s with 6 m/s westerly wind.","Fixed-wing UAV conducts a forest corridor inspection mission. Operating within a forested airspace between 20 and 100 meters AGL. Mission takes place in good visibility with a 6 m/s westerly wind and 3.5 m/s gusts. UAV equipped with GNSS, IMU, lidar, RGB camera, and barometer for navigation and data collection. Payload includes visual sensors for corridor monitoring. A no-fly zone cylinder blocks part of the corridor at 25,150 with 8-meter radius. Geofenced corridor limits lateral movement between 0–50m east and 0–300m north. Encounters another UAV traffic moving west at 18 m/s near 30,100 at 35m altitude. Minimum separation requirement of 25 meters and 15-second time-to-closest approach. Must return to runway at eastern edge after completing waypoint inspection under 600 seconds.","Fly direct north at 25m altitude, full sensor power throughout mission.","Circle no-fly zone eastward at 30m, RGB active only during turns.","Reduce camera frame rate, fly north at 45m, avoid gust-prone 20m layer.","Descend to 20m for stable lidar, increase propulsion to counter wind drag.","Ascend to 100m, use GNSS-only for 30s to save sensor power.","Match westbound UAV speed, delay inspection to ensure separation.","Idle IMU and barometer, rely on visual odometry to cut processing load.","[""Fly direct north at 25m altitude, full sensor power throughout mission."", ""Circle no-fly zone eastward at 30m, RGB active only during turns."", ""Reduce camera frame rate, fly north at 45m, avoid gust-prone 20m layer."", ""Descend to 20m for stable lidar, increase propulsion to counter wind drag."", ""Ascend to 100m, use GNSS-only for 30s to save sensor power."", ""Match westbound UAV speed, delay inspection to ensure separation."", ""Idle IMU and barometer, rely on visual odometry to cut processing load.""]",Optimizes energy by avoiding low-altitude gusts that increase drag and power draw. Reducing camera frame rate cuts payload power without sacrificing critical data. Maintains safe altitude and timeline while balancing sensor use and flight efficiency. 2025-11-01T17:57:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_GPS_Spoofing_in_Forest_with_Cold_Weather_cfb0f696b8c0_mcq.json,uavbench-mcq-v1,Fixed-Wing_GPS_Spoofing_in_Forest_with_Cold_Weather,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,Which system ensures navigation during 60s GNSS spoofing with -75 dBm jamming and 8.5 m/s winds?,"Fixed-wing UAV conducts a mapping mission in a forested area using a grid flight pattern. The UAV is equipped with GNSS, IMU, lidar, and RGB camera for navigation and data collection. Operations occur between 30 and 200 meters AGL within a defined polygonal airspace that includes a cylindrical no-fly zone. A runway is required for takeoff and landing, with designated preferred and emergency sites. The mission faces moderate winds up to 8.5 m/s with gusts and wind shear across altitudes, blowing from the southwest. Cold weather conditions include snowfall and icing, which affect aerodynamics and sensor performance. GNSS spoofing occurs mid-mission, lasting 60 seconds, while electromagnetic interference and a jamming signal at -75 dBm challenge navigation reliability. A second UAV and a moving spherical obstacle create dynamic collision risks, requiring strict separation monitoring. Communication experiences brief uplink/downlink outages, with minimum RSSI at -85 dBm. The UAV must complete the mapping task within 600 seconds while managing battery reserve, icing effects, and maintaining safe distances from obstacles and NFZs.",Pure GNSS/IMU with no redundancy,Vision-aided IMU with low-light camera,Lidar-IMU with terrain matching,GPS-only with signal filtering,Magnetometer-dependent attitude estimation,Radio relay via second UAV,Dead reckoning with IMU and air data,"[""Pure GNSS/IMU with no redundancy"", ""Vision-aided IMU with low-light camera"", ""Lidar-IMU with terrain matching"", ""GPS-only with signal filtering"", ""Magnetometer-dependent attitude estimation"", ""Radio relay via second UAV"", ""Dead reckoning with IMU and air data""]","Lidar-IMU fuses precise altitude and terrain data, maintaining accuracy during GNSS denial. It resists wind drift and jamming better than GNSS-dependent systems. Other options fail in spoofing, range, or environmental adaptability." 2025-11-01T17:57:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Hail_Recon_Mission_in_Warehouse_Indoor_ecaa89f7f969_mcq.json,uavbench-mcq-v1,Fixed-Wing_Hail_Recon_Mission_in_Warehouse_Indoor,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During GNSS dropouts and icing events, how should the UAV maintain navigation integrity within 1–15 m AGL in the warehouse?","Fixed-wing UAV conducts indoor disaster reconnaissance in a warehouse environment. Mission involves assessing hail damage within a confined indoor airspace. Weather includes poor visibility and simulated hail conditions affecting operations. UAV equipped with GNSS, IMU, lidar, and RGB camera for navigation and data collection. Flight occurs between 1–15 meters AGL within a polygonal geofenced warehouse space. A cylindrical no-fly zone blocks access to a central area near the midpoint of the warehouse. Secondary UAV traffic and a moving spherical obstacle challenge safe separation. Collision avoidance requirements include 5-meter separation and 5-second time-to-closest-approach thresholds. UAV must follow a runway-dependent flight pattern with designated takeoff and landing points. An icing event fault and communication dropouts introduce additional operational risks.",Rely solely on encrypted GNSS with no fallback,Switch to lidar-inertial fusion with IMU smoothing,Use unencrypted Wi-Fi positioning as primary,Hover until GNSS signal is fully restored,Trust RGB camera odometry without calibration,Transmit position via open telemetry link,Follow last known GPS heading indefinitely,"[""Rely solely on encrypted GNSS with no fallback"", ""Switch to lidar-inertial fusion with IMU smoothing"", ""Use unencrypted Wi-Fi positioning as primary"", ""Hover until GNSS signal is fully restored"", ""Trust RGB camera odometry without calibration"", ""Transmit position via open telemetry link"", ""Follow last known GPS heading indefinitely""]","Lidar-inertial fusion provides resilient, spoofing-resistant navigation during GNSS dropouts, preserving control stability. It maintains data integrity and availability without relying on vulnerable external signals. This method supports continuous mission operation under cyber-physical faults like icing and communication loss." 2025-11-01T17:57:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Harbor_Surveillance_in_Gusts_eed70ac6fb9c_mcq.json,uavbench-mcq-v1,Fixed-Wing_Harbor_Surveillance_in_Gusts,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 8 m/s winds from 210° and gusts, which action optimizes energy during corridor inspection with radar active?","Fixed-wing UAV conducts harbor surveillance in gusty coastal winds. Operating within a defined polygonal airspace from 30 to 120 meters AGL. Wind speed is 8 m/s from 210° with frequent 4.5 m/s gusts affecting stability. UAV equipped with radar and RGB camera for maritime monitoring. Mission involves a corridor inspection pattern across five waypoints. A central no-fly cylinder restricts access around a sensitive zone. Swarm of three UAVs maintains 25-meter minimum separation. Communications experience brief dropouts at 120 and 450 seconds. Traffic includes a crossing UAV and a moving spherical obstacle. Runway landing is required with primary and emergency sites designated.",Increase speed to reduce exposure to gusts,Descend to 30 m AGL to minimize wind impact,Deactivate RGB camera to save power for radar,Extend loiter time at each waypoint for stability,Fly clockwise around no-fly zone for shorter path,Transmit uncompressed video to ground station,Climb to 120 m AGL for smoother airflow,"[""Increase speed to reduce exposure to gusts"", ""Descend to 30 m AGL to minimize wind impact"", ""Deactivate RGB camera to save power for radar"", ""Extend loiter time at each waypoint for stability"", ""Fly clockwise around no-fly zone for shorter path"", ""Transmit uncompressed video to ground station"", ""Climb to 120 m AGL for smoother airflow""]","Deactivating the RGB camera reduces power draw, preserving energy for critical radar operation and gust compensation. The UAV must maintain endurance under wind disturbances and communication dropouts, where reliable sensing outweighs visual recording. This trade-off maximizes mission utility within finite power and thermal limits while ensuring safe swarm separation." 2025-11-01T17:57:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Loiter_in_Sandstorm_at_Bridge_Site_8cace33da814_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Loiter_in_Sandstorm_at_Bridge_Site,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,G,G,True,"At 400 seconds, with 11 m/s southwest winds and partial motor failure, how should the UAV adjust thrust and pitch to maintain 60 m AGL loiter?","Mission involves loitering with an amphibious UAV near a bridge site under sandstorm conditions with poor visibility. The UAV operates within a defined polygonal airspace bounded between 5 and 120 meters AGL. Weather includes strong winds up to 11 m/s increasing with altitude and significant gusts from the southwest. An active sandstorm reduces visibility and may impact sensor performance and flight stability. The UAV is a battery-powered hexacopter with fixed-wing hybrid capabilities and carries an RGB camera payload. A static no-fly zone surrounds a central cylinder near the bridge, with an additional moving no-fly zone drifting northeast. GNSS signals are degraded due to multipath effects and moderate jamming at -75 dBm. Electromagnetic interference and periodic comms downlink loss further challenge navigation and control. The UAV must maintain separation from a moving obstacle and another UAV on a collision course. Faults include a GNSS jamming event at 200 seconds and a partial motor failure at 400 seconds.",Increase collective thrust equally across all motors to compensate for lost lift,Reduce airspeed to minimize drag and extend battery life during motor failure,Bank sharply northeast to avoid moving obstacle using only differential thrust,Decrease angle of attack to prevent stall under gust-induced angle fluctuations,Pitch up and increase front motor thrust to maintain altitude and camera aim,Enter fixed-wing glide mode at zero thrust to reduce power demand and stabilize flight,Apply asymmetric thrust to counteract yaw disturbance and rebalance torque,"[""Increase collective thrust equally across all motors to compensate for lost lift"", ""Reduce airspeed to minimize drag and extend battery life during motor failure"", ""Bank sharply northeast to avoid moving obstacle using only differential thrust"", ""Decrease angle of attack to prevent stall under gust-induced angle fluctuations"", ""Pitch up and increase front motor thrust to maintain altitude and camera aim"", ""Enter fixed-wing glide mode at zero thrust to reduce power demand and stabilize flight"", ""Apply asymmetric thrust to counteract yaw disturbance and rebalance torque""]",Partial motor failure unbalances thrust and induces uncommanded yaw due to asymmetric torque. Applying asymmetric thrust counters the rotational moment and restores controlled equilibrium. Other options either overload remaining motors or destabilize lift-drag balance under high wind and reduced control authority. 2025-11-01T17:57:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Heavy_Load_Delivery_in_Underground_Mine_with_Sandstorm_c9dcf2e48056_mcq.json,uavbench-mcq-v1,Fixed-Wing_Heavy_Load_Delivery_in_Underground_Mine_with_Sandstorm,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,How should the UAV navigate around the cylindrical NFZ at 12 m/s wind from 240° while maintaining 2–25 m AGL?,"Fixed-wing UAV conducts heavy-load delivery inside an underground mine. Mission involves transporting an 8 kg payload through a confined corridor layout. Flight occurs in poor visibility due to an active sandstorm with strong winds. Wind speed reaches 12 m/s from 240 degrees, with gusts up to 6 m/s. UAV relies on IMU, lidar, radar, and camera systems due to absent GNSS. Significant GNSS multipath and electromagnetic interference degrade navigation. A central cylindrical no-fly zone blocks direct flight paths. Airspace altitude is tightly constrained between 2 and 25 meters AGL. Another UAV and a moving spherical obstacle create dynamic collision risks. Communication suffers intermittent uplink loss and a planned GNSS jamming fault.","Climb to 25 m AGL, fly direct through NFZ center","Descend to 1 m AGL, bypass NFZ at minimum altitude","Maintain 15 m AGL, route eastward avoiding NFZ and obstacle",Hold position until GNSS returns for precise rerouting,"Follow direct bearing 060°, ignoring moving UAV traffic",Reduce speed to 5 m/s inside corridor to limit drift,"Take shortest path west, ascending to 30 m A Geg","[""Climb to 25 m AGL, fly direct through NFZ center"", ""Descend to 1 m AGL, bypass NFZ at minimum altitude"", ""Maintain 15 m AGL, route eastward avoiding NFZ and obstacle"", ""Hold position until GNSS returns for precise rerouting"", ""Follow direct bearing 060°, ignoring moving UAV traffic"", ""Reduce speed to 5 m/s inside corridor to limit drift"", ""Take shortest path west, ascending to 30 m A Geg""]","Option C maintains safe altitude within 2–25 m AGL, avoids the central NFZ and dynamic obstacles, and balances wind effects with efficient routing. Other choices violate altitude limits, enter the NFZ, ignore collision risks, or waste time. Adaptive path planning using lidar and IMU enables this optimal detour without GNSS." 2025-11-01T17:57:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Indoor_Mapping_at_Warehouse_with_Lightning_Risk_a171893b7b94_mcq.json,uavbench-mcq-v1,Fixed-Wing_Indoor_Mapping_at_Warehouse_with_Lightning_Risk,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,A,False,"At 195s, GNSS jamming begins with 70% severity and downlink loss. Which navigation strategy maintains integrity during grid mapping at 5m altitude?","Fixed-wing UAV conducts indoor warehouse mapping mission using RGB camera and LiDAR payload. Flight occurs entirely indoors within a confined 50m x 40m polygon airspace with altitude limits from 1.0m to 15.0m AGL. Lightning risk is present despite indoor environment, potentially affecting external systems or power. A cylindrical no-fly zone of 5m radius is centered at (25,20) with vertical limits from 1.0m to 10.0m. The UAV must follow a grid pattern across four waypoints at 5m altitude, completing within a 600-second time budget. A moving spherical obstacle drifts vertically along the y-axis at 1.0 m/s near the center of the space. Another UAV traffic agent moves horizontally through the area at 6.0 m/s, requiring separation monitoring. GNSS jamming fault is introduced at 200 seconds, lasting 30 seconds with 70% severity, challenging navigation. Downlink communication loss occurs briefly between 180 and 210 seconds, risking data transmission. Runway takeoff and landing are required, with preferred and emergency landing sites designated at opposite corners.",Switch to LiDAR-IMU dead reckoning with loop closure,Rely on GNSS with error-tolerant waypoint smoothing,Descend to 1.5m using RGB optical flow only,Hover and wait for GNSS signal recovery,Use monocular SLAM with LiDAR depth fusion,Follow grid using pre-jamming IMU drift extrapolation,Ascend to 14m for better external signal penetration,"[""Switch to LiDAR-IMU dead reckoning with loop closure"", ""Rely on GNSS with error-tolerant waypoint smoothing"", ""Descend to 1.5m using RGB optical flow only"", ""Hover and wait for GNSS signal recovery"", ""Use monocular SLAM with LiDAR depth fusion"", ""Follow grid using pre-jamming IMU drift extrapolation"", ""Ascend to 14m for better external signal penetration""]","GNSS jamming and downlink loss invalidate external positioning and telemetry. LiDAR-IMU fusion provides high-rate, drift-resistant state estimation indoors, while loop closure corrects accumulated errors. This maintains mapping accuracy and obstacle awareness without relying on compromised GNSS or communication links." 2025-11-01T17:57:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Loiter_at_Bridge_Site_in_Dusty_Conditions_23916f79873d_mcq.json,uavbench-mcq-v1,Fixed-Wing_Loiter_at_Bridge_Site_in_Dusty_Conditions,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,A,False,"During GNSS jamming at 210s, 8 m/s winds, and comms loss, which action preserves battery and avoids obstacles?","Fixed-wing UAV conducts bridge inspection mission in a restricted airspace near a bridge site. Operation occurs in poor visibility due to an active sandstorm with strong winds from 240° at 8 m/s and gusts up to 4 m/s. The UAV is equipped with an RGB camera for visual inspection and relies on GNSS, IMU, magnetometer, and barometer for navigation. Flight altitude is constrained between 30 m and 150 m AGL within a defined rectangular geofence. A cylindrical no-fly zone of 50 m radius is centered at the bridge site, extending from 30 m to 100 m altitude. The mission involves orbiting key waypoints at 60 m altitude with a 30 m loiter radius, requiring runway-assisted takeoff and landing. A second UAV is present in the airspace, flying a crossing path at 80 m altitude, requiring separation monitoring. A moving spherical obstacle drifts through the area at 2.5 m/s, posing a dynamic collision risk. GNSS jamming occurs between 200–245 seconds, lasting 45 seconds with 80% severity, coinciding with a comms downlink loss window. Key constraints include maintaining 25 m separation, avoiding NFZ and obstacles, and managing battery reserves in dusty, windy conditions.",Continue orbit using IMU and barometer with reduced camera frame rate,Climb to 150 m for better GNSS signal and wind clearance,Descend to 30 m AGL to minimize wind resistance and power use,Hover in place using full thrust to wait out jamming duration,Exit geofence immediately and return to base on full power,Increase loiter radius to 50 m to reduce turn frequency,Activate magnetometer-only navigation and maintain current altitude,"[""Continue orbit using IMU and barometer with reduced camera frame rate"", ""Climb to 150 m for better GNSS signal and wind clearance"", ""Descend to 30 m AGL to minimize wind resistance and power use"", ""Hover in place using full thrust to wait out jamming duration"", ""Exit geofence immediately and return to base on full power"", ""Increase loiter radius to 50 m to reduce turn frequency"", ""Activate magnetometer-only navigation and maintain current altitude""]","A- uses available sensors during GNSS outage while reducing camera power, balancing navigation accuracy and energy use. It maintains safe altitude within NFZ limits and avoids unnecessary climb or descent. Other options increase power draw, risk collision, or compromise mission continuity under dust and wind." 2025-11-01T17:57:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Package_Delivery_in_Icing_Conditions_d234361c6340_mcq.json,uavbench-mcq-v1,Fixed-Wing_Package_Delivery_in_Icing_Conditions,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"During icing at 120–180 s, winds increase to 12 m/s at 100 m; UAV must deliver 2 kg payload avoiding 50 m no-fly zone.","Fixed-wing UAV conducts package delivery near airport perimeter airspace. Mission involves flying a corridor pattern at 60 meters altitude within a defined polygon. UAV carries a 2 kg payload with RGB camera for navigation and monitoring. Weather includes icing conditions and moderate winds increasing with altitude. Wind at ground level is 8 m/s from 240°, strengthening to 12 m/s at 100 m. A no-fly zone cylinder is centered at (400, 300) with a 50 m radius and 30–100 m vertical limits. Runway use is required, aligned eastbound with threshold at (0, 300). Icing event occurs between 120–180 seconds, reducing aerodynamic efficiency by 40%. UAV must maintain separation of at least 25 meters from traffic and obstacles. Communication experiences two brief downlink loss windows during the mission.",Climb to 100 m for smoother airflow and direct route,Descend to 40 m to reduce wind exposure and ice risk,Maintain 60 m altitude and full camera stream,Jettison payload to conserve energy and return,Increase speed to 25 m/s to minimize icing duration,Circle at 60 m to wait out icing event passively,Reduce camera power and optimize heading into wind,"[""Climb to 100 m for smoother airflow and direct route"", ""Descend to 40 m to reduce wind exposure and ice risk"", ""Maintain 60 m altitude and full camera stream"", ""Jettison payload to conserve energy and return"", ""Increase speed to 25 m/s to minimize icing duration"", ""Circle at 60 m to wait out icing event passively"", ""Reduce camera power and optimize heading into wind""]","Reducing camera power conserves energy while optimizing heading minimizes drag and thrust demand during reduced aerodynamic efficiency. This balances communication, propulsion, and endurance under wind and icing constraints. Other options waste energy, increase exposure, or sacrifice mission success." 2025-11-01T17:57:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Pipeline_Inspection_in_Underground_Mine_with_Strong_Crosswind_758ef6ea8435_mcq.json,uavbench-mcq-v1,Fixed-Wing_Pipeline_Inspection_in_Underground_Mine_with_Strong_Crosswind,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,Fixed-wing UAV inspects pipeline in 40m-altitude mine with 15 m/s crosswinds and GNSS degradation. What is optimal?,"Fixed-wing UAV conducts pipeline inspection in an underground mine. Mission takes place in confined underground airspace with a maximum altitude of 40 meters AGL. Strong crosswinds up to 15 m/s from the west create challenging flight conditions. UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. GNSS signals suffer from multipath and moderate jamming, degrading positioning accuracy. A cylindrical no-fly zone blocks access to a central area near the pipeline. Flight is constrained by poor visibility and electromagnetic interference in the mine. The UAV must follow a corridor inspection pattern while avoiding moving obstacles. Communication links experience periodic uplink and downlink outages during flight. Runway-assisted takeoff and landing are required due to fixed-wing configuration.",Fly at 38m AGL to maximize clearance and stability,Descend to 10m AGL for better LiDAR resolution,Increase speed to 25 m/s to reduce wind drift,Circle the no-fly zone at 50m radius to ensure safety,Rely solely on IMU due to GNSS jamming,Reduce speed to 12 m/s to conserve energy,Abort mission due to communication outages,"[""Fly at 38m AGL to maximize clearance and stability"", ""Descend to 10m AGL for better LiDAR resolution"", ""Increase speed to 25 m/s to reduce wind drift"", ""Circle the no-fly zone at 50m radius to ensure safety"", ""Rely solely on IMU due to GNSS jamming"", ""Reduce speed to 12 m/s to conserve energy"", ""Abort mission due to communication outages""]",Flying at 38m AGL balances minimum safe altitude with clearance from obstacles and turbulence near the floor. It maintains aerodynamic stability in 15 m/s crosswinds while allowing sufficient space for controlled maneuvers under GNSS degradation. This altitude supports sensor performance and avoids floor-level moving obstacles and poor visibility. 2025-11-01T17:57:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Powerline_Inspection_Near_Airport_Perimeter_in_Hail_0462f71d08b8_mcq.json,uavbench-mcq-v1,Fixed-Wing_Powerline_Inspection_Near_Airport_Perimeter_in_Hail,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,"Which UAV configuration best handles 8 m/s winds, icing at 200 s, and maintains 25 m separation near controlled airspace?","Fixed-wing UAV conducts powerline inspection near airport perimeter. Mission takes place in controlled airspace with strict altitude limits between 30 and 120 meters AGL. Weather includes strong 8 m/s winds from 240°, gusts up to 4 m/s, and poor visibility due to hail. UAV equipped with RGB and thermal cameras for visual inspection under adverse conditions. A no-fly zone cylinder is centered at (500, 400) with a 100-meter radius and extends to 150 meters altitude. Runway access is required, with preferred landing near threshold at (100, 50, 30). Another UAV operates nearby at 50 meters altitude, requiring 25-meter separation and 30-second time-to-closest approach monitoring. A moving spherical obstacle drifts westward at 5 m/s through the inspection corridor. Icing event occurs at 200 seconds, lasting one minute with moderate severity, affecting aerodynamics. Communication experiences two downlink loss windows, and GNSS performance may degrade due to multipath near structures.","Fixed-wing with de-icing, dual GNSS, and ADS-B",Quadcopter with thermal camera and hail-resistant shell,Fixed-wing with single GNSS and no de-icing,VTOL with radar-based obstacle avoidance,"Fixed-wing with RGB only, no redundancy",Heavy-lift octocopter with dual sensors,Solar-powered UAV with extended wing span,"[""Fixed-wing with de-icing, dual GNSS, and ADS-B"", ""Quadcopter with thermal camera and hail-resistant shell"", ""Fixed-wing with single GNSS and no de-icing"", ""VTOL with radar-based obstacle avoidance"", ""Fixed-wing with RGB only, no redundancy"", ""Heavy-lift octocopter with dual sensors"", ""Solar-powered UAV with extended wing span""]","System A balances aerodynamic efficiency, fault tolerance, and situational awareness. De-icing preserves lift during the 200-second event, dual GNSS counters multipath, and ADS-B ensures separation from the nearby UAV. Other options lack critical redundancy or environmental adaptability under wind and icing." 2025-11-01T17:57:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Powerline_Inspection_in_Dense_Urban_with_Strong_Crosswind_740187a4900d_mcq.json,uavbench-mcq-v1,Fixed-Wing_Powerline_Inspection_in_Dense_Urban_with_Strong_Crosswind,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"At 240° crosswind (12 m/s), 30% battery, and GNSS multipath, which action ensures resilient navigation and inspection?","Fixed-wing UAV conducts powerline inspection in dense urban airspace. Mission operates within a defined polygonal geofence at 20–120 m AGL. Strong crosswinds from 240° at 12 m/s with 4.5 m/s gusts challenge flight stability. UAV equipped with radar, RGB and thermal cameras for inspection data capture. A no-fly zone cylinder blocks access near the center of the area. Crossing traffic UAV moves westbound at 18 m/s; moving spherical obstacle drifts left. Pilot must maintain 50 m separation to avoid DAA breaches with 30 s TTC threshold. GNSS multipath expected due to urban canyon effects on navigation. Battery endurance is critical with 30% reserve required and comms dropouts scheduled. Runway-assisted takeoff and landing are mandatory for safe operations.",Rely solely on encrypted GNSS with RTK correction,Switch to INS-camera sensor fusion with lidar SLAM,Increase control loop frequency to 200 Hz unauthenticated,Transmit unencrypted telemetry to ground every 2 seconds,Disable intrusion detection to reduce processor load,Use open Wi-Fi for backup command uplink,Trust GPS if signal strength exceeds -90 dBm,"[""Rely solely on encrypted GNSS with RTK correction"", ""Switch to INS-camera sensor fusion with lidar SLAM"", ""Increase control loop frequency to 200 Hz unauthenticated"", ""Transmit unencrypted telemetry to ground every 2 seconds"", ""Disable intrusion detection to reduce processor load"", ""Use open Wi-Fi for backup command uplink"", ""Trust GPS if signal strength exceeds -90 dBm""]",INS-camera-lidar fusion bypasses GNSS multipath while maintaining position integrity. It preserves data confidentiality and enables obstacle avoidance. This ensures control stability and mission continuity despite spoofing or signal loss. 2025-11-01T17:57:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Rain_Inspection_at_Bridge_Site_9a6d7153b80a_mcq.json,uavbench-mcq-v1,Fixed-Wing_Rain_Inspection_at_Bridge_Site,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"With GNSS degraded by multipath and jamming, winds at 13.5 m/s, and icing reducing performance, how should navigation be maintained during the bridge inspection?","Fixed-wing UAV conducts bridge inspection in rainy, poor-visibility conditions with icing risk. Mission takes place over a defined bridge site with a polygonal geofence and altitude limits from 10 to 120 meters AGL. Weather includes strong winds up to 13.5 m/s, shifting direction with altitude, and active rain and icing conditions. UAV is equipped with RGB camera payload for visual inspection and relies on GNSS, IMU, and barometer for navigation. GNSS signals are degraded due to multipath effects and mild jamming, with additional electromagnetic interference present. A static no-fly zone surrounds a central area of the bridge, and a dynamic no-fly zone moves through the airspace. A second UAV and a moving spherical obstacle create collision risks requiring separation management. The UAV must follow a corridor inspection pattern with three waypoints and return to a runway-aligned takeoff and landing point. Icing fault is simulated mid-mission, reducing performance for one minute, while communication dropouts occur briefly twice. Runway use is required, and the UAV must complete the mission within 10 minutes while avoiding stalls and low battery.",Rely solely on GNSS due to pre-mission signal calibration,Use barometer-only altitude control to avoid wind drift,Switch to IMU and visual odometry with motion compensation,Follow wind-aligned path using IMU and magnetic heading,Descend to 10 m AGL to improve GNSS signal clarity,Halt mission until GNSS signal strength recovers,Trust barometric hold despite rapid temperature changes,"[""Rely solely on GNSS due to pre-mission signal calibration"", ""Use barometer-only altitude control to avoid wind drift"", ""Switch to IMU and visual odometry with motion compensation"", ""Follow wind-aligned path using IMU and magnetic heading"", ""Descend to 10 m AGL to improve GNSS signal clarity"", ""Halt mission until GNSS signal strength recovers"", ""Trust barometric hold despite rapid temperature changes""]","IMU and visual odometry fusion compensates for GNSS degradation and multipath, while motion compensation counters wind and icing effects. Visual data from the RGB camera provides environmental context and redundancy. This approach maintains navigation integrity without relying on error-prone GNSS or drift-prone barometer/compass under dynamic conditions." 2025-11-01T17:57:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Runway_Incursion_with_DAA_at_Offshore_Platform_in_Cold_Weather_f26af802f6f0_mcq.json,uavbench-mcq-v1,Fixed-Wing_Runway_Incursion_with_DAA_at_Offshore_Platform_in_Cold_Weather,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 200 m AGL, 15.5 m/s winds with 4.2 m/s gusts and icing reduce lift—what airspeed and angle of attack adjustment maintains lift without stalling?","This is a fixed-wing UAV inspection mission near an offshore platform in cold weather with icing conditions. The UAV operates within a defined airspace between 30 and 300 meters AGL, bounded by a polygonal geofence. It must avoid two no-fly zones, one static and one moving, while navigating around a designated runway. The UAV is equipped with radar, RGB camera, and standard navigation sensors but faces GNSS multipath, jamming, and electromagnetic interference. Strong winds increase with altitude, reaching 15.5 m/s at 200 meters, with gusts up to 4.2 m/s. A dynamic moving obstacle and another UAV traffic pose collision risks, requiring use of detect-and-avoid (DAA) with 50-meter separation. The mission includes a time-constrained waypoint corridor pattern and requires runway use for takeoff and landing. Icing severity increases mid-mission, affecting aerodynamics and requiring careful energy management. Battery capacity is limited to 1500 Wh with a 30% reserve, demanding efficient routing. Communication dropouts occur briefly at two intervals, challenging telemetry and control.",Increase airspeed and decrease angle of attack,Decrease airspeed and increase angle of attack,Maintain current airspeed and increase angle of attack,Reduce thrust to decrease induced drag,Increase angle of attack to maximum for best L/D,Fly downwind to reduce relative wind load,Decrease altitude abruptly to denser air,"[""Increase airspeed and decrease angle of attack"", ""Decrease airspeed and increase angle of attack"", ""Maintain current airspeed and increase angle of attack"", ""Reduce thrust to decrease induced drag"", ""Increase angle of attack to maximum for best L/D"", ""Fly downwind to reduce relative wind load"", ""Decrease altitude abruptly to denser air""]",Increased airspeed raises dynamic pressure to compensate for ice-contaminated wings reducing lift. Decreasing angle of attack avoids approaching stall at degraded wing performance. This balances lift generation with margin against flow separation under high wind shear and reduced Reynolds number. 2025-11-01T17:57:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Sandstorm_Inspection_in_Powerline_Corridor_a02fcfd4d501_mcq.json,uavbench-mcq-v1,Fixed-Wing_Sandstorm_Inspection_in_Powerline_Corridor,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 200s, GNSS jamming hits 70% severity with a sandstorm and 9.5 m/s winds. What is the safest immediate action?","Fixed-wing UAV conducts powerline corridor inspection in a desert environment. Mission takes place in a defined rectangular airspace with a central no-fly zone cylinder. Severe sandstorm conditions reduce visibility and increase environmental risk. UAV is equipped with RGB and thermal cameras, LiDAR, radar, and full navigation suite. Wind blows at 9.5 m/s from 240 degrees with gusts up to 4.8 m/s. Swarm operation with three UAVs requires 25-meter minimum separation between units. A moving spherical obstacle drifts diagonally through the corridor at 2.8 m/s. GNSS jamming fault occurs at 200 seconds, lasting 45 seconds with 70% severity. Downlink communication fails intermittently during two critical mission phases. Runway-assisted takeoff and landing are required, with primary and emergency sites defined.",Continue inspection using LiDAR and radar,Descend to avoid wind gusts and stabilize,Abort mission and return to emergency landing site,Climb to improve GNSS signal reception,Rely on visual navigation through RGB feed,Maintain course using dead reckoning,Enter no-fly zone to shield from sandstorm,"[""Continue inspection using LiDAR and radar"", ""Descend to avoid wind gusts and stabilize"", ""Abort mission and return to emergency landing site"", ""Climb to improve GNSS signal reception"", ""Rely on visual navigation through RGB feed"", ""Maintain course using dead reckoning"", ""Enter no-fly zone to shield from sandstorm""]",GNSS jamming at 70% severity in sandstorm conditions risks navigational failure. Continuing risks collision or loss of control. Safety-of-life requires aborting and landing at the emergency site to prevent uncontrolled flight in hazardous conditions. 2025-11-01T17:57:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Satellite_Link_Relay_in_Rainy_Airport_Perimeter_ff7931b7f3ad_mcq.json,uavbench-mcq-v1,Fixed-Wing_Satellite_Link_Relay_in_Rainy_Airport_Perimeter,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"With 16 m/s winds at 300 m and icing reducing efficiency, which action optimizes endurance while maintaining relay in poor visibility?","Fixed-wing UAV conducts satellite link relay mission near airport perimeter. Operating in rainy conditions with poor visibility and icing risk. Winds increase with altitude, shifting direction from 240° to 270° and reaching 16 m/s at 300 m. UAV equipped with radar, RGB camera, and satellite communication payload. Mission requires maintaining line-of-sight relay along a defined corridor with loitering. No-fly zones include a static cylinder near the center and a moving obstacle drifting southwest. GNSS signals experience multipath and moderate jamming, with additional EM interference. Dynamic airspace includes traffic from another UAV approaching from the east. A simulated icing event occurs mid-mission, reducing aerodynamic efficiency. Landing requires runway alignment, and battery reserves must account for adverse weather.",Climb to 350 m for stronger satellite signal,Descend to 150 m to reduce wind exposure,Increase speed to counteract wind drift,Activate de-icing and double payload power,Loiter at 250 m with reduced camera frame rate,Fly direct through moving obstacle's predicted path,Switch to full RGB streaming with max bitrate,"[""Climb to 350 m for stronger satellite signal"", ""Descend to 150 m to reduce wind exposure"", ""Increase speed to counteract wind drift"", ""Activate de-icing and double payload power"", ""Loiter at 250 m with reduced camera frame rate"", ""Fly direct through moving obstacle's predicted path"", ""Switch to full RGB streaming with max bitrate""]","Loitering at 250 m balances wind intensity and icing risk while reducing camera frame rate conserves power. This extends endurance without sacrificing mission-critical relay function. Other options increase energy use or risk, reducing safety margin for landing." 2025-11-01T17:57:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Search_and_Rescue_at_Airport_Perimeter_90a544fbca47_mcq.json,uavbench-mcq-v1,Fixed-Wing_Search_and_Rescue_at_Airport_Perimeter,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"At 150 m altitude with strong increasing wind, 30% battery, and GNSS errors, which action maintains search efficiency and safety?","Fixed-wing UAV conducts search and rescue near an airport perimeter. Operating altitude ranges from 30 to 150 meters above ground level. Mission occurs in strong crosswind conditions with wind increasing with altitude. UAV is equipped with RGB and thermal cameras for detection. Flight is constrained by a no-fly zone cylinder near the center of the area. GNSS multipath effects are present, potentially degrading positioning accuracy. Aircraft must maintain separation from other air traffic near the runway. The UAV follows a grid search pattern to cover the designated area efficiently. Battery reserves are set to 30% to ensure safe return under wind conditions. Runway access is required, and landing sites are predefined for emergency use.",Climb to 180 m for clearer camera view,Descend to 25 m to reduce wind impact,Maintain 150 m and increase airspeed,Reduce altitude to 60 m and adjust grid spacing,Hover in place until GNSS stabilizes,Return immediately to preserve battery,Fly direct to emergency landing site,"[""Climb to 180 m for clearer camera view"", ""Descend to 25 m to reduce wind impact"", ""Maintain 150 m and increase airspeed"", ""Reduce altitude to 60 m and adjust grid spacing"", ""Hover in place until GNSS stabilizes"", ""Return immediately to preserve battery"", ""Fly direct to emergency landing site""]","Descending to 60 m reduces wind-induced aerodynamic stress and improves control stability while avoiding GNSS multipath near the ground. It balances energy use, camera coverage, and separation from airport traffic. This altitude maintains safe clearance above ground and below strong winds, ensuring continued search progress with sufficient reserve." 2025-11-01T17:57:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Search_and_Rescue_in_Low_Visibility_Warehouse_dd7988a4ccda_mcq.json,uavbench-mcq-v1,Fixed-Wing_Search_and_Rescue_in_Low_Visibility_Warehouse,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"Given GNSS interference, 3 m/s wind, and 2 downlink loss windows, which navigation strategy ensures target detection and safe return?","This is a fixed-wing UAV search and rescue mission inside a warehouse with poor visibility due to low light and indoor dust. The airspace is confined to a 40x50 meter indoor space with a minimum altitude of 1 meter and a maximum of 15 meters AGL. A cylindrical no-fly zone is centered at (20, 25) with a 5-meter radius, restricting flight path options. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, but faces GNSS multipath and electromagnetic interference. Wind speed is moderate at 3 m/s from 120 degrees, with gusts up to 2 m/s, challenging stable flight in tight spaces. The mission requires a runway for takeoff and landing, with the runway threshold at (0, 25, 5) and heading 90 degrees. The flight plan follows a corridor search pattern across three waypoints to locate targets efficiently within a 600-second time limit. Communication is degraded with uplink failure and two downlink loss windows, requiring autonomous operation. Battery endurance is critical, with a 450 Wh battery and 30% reserve, limiting available energy for the duration.",Rely solely on GNSS with Kalman filter smoothing,Switch to LiDAR-inertial fusion when GNSS degrades,Use unencrypted telemetry for faster sensor updates,Disable thermal camera to save battery for comms,Follow waypoints using only magnetic heading,Transmit full RGB video during downlink windows,Preload flight path without runtime adjustments,"[""Rely solely on GNSS with Kalman filter smoothing"", ""Switch to LiDAR-inertial fusion when GNSS degrades"", ""Use unencrypted telemetry for faster sensor updates"", ""Disable thermal camera to save battery for comms"", ""Follow waypoints using only magnetic heading"", ""Transmit full RGB video during downlink windows"", ""Preload flight path without runtime adjustments""]",LiDAR-inertial fusion maintains position integrity during GNSS interference and resists spoofing. It enables stable control in wind gusts by providing high-frequency state estimates. This approach ensures mission continuity and safe runway alignment without relying on compromised signals. 2025-11-01T17:57:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Search_and_Rescue_in_Wind_Farm_with_Microburst_Risk_6bb3235a6165_mcq.json,uavbench-mcq-v1,Fixed-Wing_Search_and_Rescue_in_Wind_Farm_with_Microburst_Risk,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 8.5 m/s winds, 30-second GNSS jamming, and thermal updrafts, which strategy maximizes search coverage and battery life?","Fixed-wing UAV conducts search and rescue in a coastal wind farm with active turbines and microburst risk. The airspace is constrained between 20 and 120 meters AGL with a polygonal geofence and a central no-fly cylinder. Winds are moderate at 8.5 m/s from 240° with gusts up to 4.5 m/s and a vertical wind shear profile increasing with altitude. Thermal updrafts are present near the center of the zone, creating localized lift zones. The UAV carries both RGB and thermal cameras for detection, with no LiDAR or radar onboard. GNSS signals suffer from multipath effects, electromagnetic interference, and a planned 30-second jamming fault mid-mission. A single intruder UAV enters from the northeast on a crossing path, requiring separation assurance. A moving spherical obstacle drifts near a turbine, adding dynamic collision risk. Comms experience two brief downlink outages, and signal strength remains near the receiver threshold. The mission requires runway-aligned takeoff and landing, with strict separation minima and battery reserve constraints.",Climb to 120 m for wider camera view and wind shear advantage,Fly at 20 m AGL to minimize communication power and avoid gusts,Circle thermal updrafts to gain lift and reduce propulsion energy,Increase camera resolution continuously to ensure detection,Fly direct cross-wind paths to reduce mission time and exposure,Transmit all imagery real-time during downlink outages via retry,Hover near turbines using active stabilization for detailed scans,"[""Climb to 120 m for wider camera view and wind shear advantage"", ""Fly at 20 m AGL to minimize communication power and avoid gusts"", ""Circle thermal updrafts to gain lift and reduce propulsion energy"", ""Increase camera resolution continuously to ensure detection"", ""Fly direct cross-wind paths to reduce mission time and exposure"", ""Transmit all imagery real-time during downlink outages via retry"", ""Hover near turbines using active stabilization for detailed scans""]","Exploiting thermal updrafts reduces propulsion power needs, conserving battery for critical GNSS-denied phases. It extends endurance without sacrificing coverage, unlike energy-intensive hovering or high-altitude wind-exposed flight. Other options increase power draw, risk collisions, or fail during comms outages." 2025-11-01T17:57:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Facade_Inspection_with_Swarm_Drones_in_Rain_393dc6829b82_mcq.json,uavbench-mcq-v1,Desert_Facade_Inspection_with_Swarm_Drones_in_Rain,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,A,A,True,"During GNSS jamming at 80m AGL with 10 m/s winds, how should drones maintain position integrity and swarm separation?","This mission involves a swarm of four inspection drones operating in a desert environment. The drones are tasked with conducting a corridor-style facade inspection along a series of waypoints. The airspace is constrained between 5 and 120 meters AGL, with a static no-fly zone over a cylinder near the center and a moving no-fly zone drifting slowly through the area. Adverse weather includes rain, poor visibility, lightning risk, and increasing wind speeds with altitude, reaching up to 10 m/s at 100 meters. GNSS signals are degraded due to multipath effects and moderate jamming, with a planned GNSS jamming fault occurring mid-mission. The UAVs are equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, but face challenges from electromagnetic interference and an icing event that reduces performance. Communication is unstable, with uplink failure and periodic downlink loss, requiring resilient autonomy. The swarm must maintain a minimum 5-meter separation while navigating around a moving spherical obstacle and avoiding conflicts with another UAV flying through the airspace. Battery endurance is critical, with a 320 Wh battery and high power draw, especially during gusty conditions and manoeuvres. The mission emphasizes fault tolerance, sensor reliability, and precise navigation under dynamic environmental and operational constraints.",Rely on encrypted GNSS with anti-jam antenna and cross-verify using LiDAR SLAM,Switch to unencrypted Wi-Fi-based positioning for higher update rates,Increase reliance on thermal camera odometry to compensate for lost GNSS,Use open-loop dead reckoning from IMU without sensor fusion,Share raw RGB streams unencrypted for visual localization among swarm,Transmit control commands via unauthenticated Bluetooth links,Disable LiDAR to save power during jamming to extend endurance,"[""Rely on encrypted GNSS with anti-jam antenna and cross-verify using LiDAR SLAM"", ""Switch to unencrypted Wi-Fi-based positioning for higher update rates"", ""Increase reliance on thermal camera odometry to compensate for lost GNSS"", ""Use open-loop dead reckoning from IMU without sensor fusion"", ""Share raw RGB streams unencrypted for visual localization among swarm"", ""Transmit control commands via unauthenticated Bluetooth links"", ""Disable LiDAR to save power during jamming to extend endurance""]","Encrypted GNSS with anti-jamming resists spoofing and maintains signal integrity, while LiDAR SLAM provides a trusted, independent positioning layer. This fusion ensures control stability and separation during jamming without introducing cyber vulnerabilities or degrading safety." 2025-11-01T17:57:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Ship_Deck_Delivery_in_Volcanic_Hot_Zone_f70509adeb5f_mcq.json,uavbench-mcq-v1,Fixed-Wing_Ship_Deck_Delivery_in_Volcanic_Hot_Zone,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Plan route for UAV delivering cargo to ship near (800, 600) while avoiding NFZ, 5 m/s drifting obstacle, and 45-second GNSS outage at 180s.","Fixed-wing UAV delivers cargo to a ship deck within a high-risk volcanic zone. Mission takes place in restricted airspace with a maximum altitude of 250 meters AGL. Strong and variable winds increase with altitude, shifting from 8 m/s at ground to 15 m/s at 200 m. UAV is equipped with RGB and thermal cameras for navigation and payload monitoring. GNSS signals suffer from multipath and intermittent jamming at -75 dBm, with a planned 45-second GNSS jamming fault. A no-fly zone cylinder blocks the central area, requiring careful path planning around it. Thermal updrafts near (800, 600) create localized turbulence and lift of up to 3 m/s. A single intruder UAV crosses the airspace from east to west at 120 meters altitude. Moving spherical obstacle drifts westward at 5 m/s, adding dynamic collision risk. Runway takeoff and landing are required, with communication dropouts occurring at 180 and 500 seconds into the mission.","Fly direct at 200 m, ignore thermal updrafts and drift speed.","Descend to 100 m to avoid wind, cross NFZ center to save time.","Route west of NFZ at 220 m, use thermal lift to reduce fuel.","Climb to 240 m for stable GNSS, bypass obstacle northward.",Delay departure to sync with intruder UAV passage at 120 m.,"Reroute east around NFZ at 180 m, delay waypoint entry by 30s.","Follow 190 m altitude, arc around NFZ and drifting sphere westbound.","[""Fly direct at 200 m, ignore thermal updrafts and drift speed."", ""Descend to 100 m to avoid wind, cross NFZ center to save time."", ""Route west of NFZ at 220 m, use thermal lift to reduce fuel."", ""Climb to 240 m for stable GNSS, bypass obstacle northward."", ""Delay departure to sync with intruder UAV passage at 120 m."", ""Reroute east around NFZ at 180 m, delay waypoint entry by 30s."", ""Follow 190 m altitude, arc around NFZ and drifting sphere westbound.""]","Flying at 190 m avoids stronger winds above 200 m and stays below the 250 m AGL limit. Arcing around the NFZ and westbound obstacle ensures 5-second clearance despite drift and GNSS dropout. This path maintains communication timing, avoids thermal turbulence, and preserves energy with efficient turns." 2025-11-01T17:57:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Volcanic_Zone_Survey_in_Snowfall_6e8cd1ec280b_mcq.json,uavbench-mcq-v1,Fixed-Wing_Volcanic_Zone_Survey_in_Snowfall,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 200m altitude with 15 m/s winds, GNSS at -75 dBm, and snowfall, which navigation strategy maintains integrity?","This is a fixed-wing UAV survey mission in a volcanic zone with active thermal plumes and hazardous weather. The flight occurs in poor visibility due to ongoing snowfall and icing conditions. Strong, variable winds increase with altitude, reaching 15 m/s at 200 meters. The UAV carries a dual payload with RGB and thermal cameras, supported by radar for navigation. GNSS signals are degraded by multipath effects and moderate jamming at -75 dBm. The operational airspace is constrained between 50 and 300 meters AGL within a defined polygon. A static no-fly zone and a moving no-fly cylinder require dynamic path planning. The UAV must maintain separation from another traffic UAV and a drifting spherical obstacle. Icing is simulated as a fault event, reducing performance for 90 seconds starting at 120 seconds into the mission. The mission requires a runway for takeoff and landing, with comms experiencing a brief downlink loss between 400 and 415 seconds.",Prioritize GNSS with radar altimeter cross-check,Switch to pure IMU dead reckoning,Fuse radar and thermal SLAM during GNSS outages,Rely on visual odometry in heavy snowfall,Use GPS-only with no sensor fusion,Descend immediately to avoid wind shear,Trust LiDAR for obstacle mapping in fog,"[""Prioritize GNSS with radar altimeter cross-check"", ""Switch to pure IMU dead reckoning"", ""Fuse radar and thermal SLAM during GNSS outages"", ""Rely on visual odometry in heavy snowfall"", ""Use GPS-only with no sensor fusion"", ""Descend immediately to avoid wind shear"", ""Trust LiDAR for obstacle mapping in fog""]","Radar and thermal SLAM provide environmental resilience: radar penetrates snow and resists multipath, while thermal features aid localization near plumes. Fusing them with IMU compensates for GNSS degradation and maintains navigation integrity under icing and wind disturbances. Other sensors fail due to weather occlusion or signal jamming." 2025-11-01T17:57:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Touch-and-Go_in_Sandstorm_at_Industrial_Plant_1d520528059e_mcq.json,uavbench-mcq-v1,Fixed-Wing_Touch-and-Go_in_Sandstorm_at_Industrial_Plant,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which UAV configuration ensures touch-and-go success with 30% battery reserve, 4.8 m/s gusts, and 45-second GNSS denial?","Fixed-wing UAV conducts a touch-and-go mission at an industrial plant with a designated runway. The airspace is constrained by a polygonal geofence and a central no-fly cylinder near the plant's core. A sandstorm reduces visibility and introduces wind gusts up to 4.8 m/s from 240 degrees. The UAV is equipped with radar, RGB camera, and standard navigation sensors but lacks lidar and thermal imaging. It must avoid a moving spherical obstacle drifting southwest near critical infrastructure. Another UAV is present in the airspace, traveling at 18 m/s, requiring 25-meter separation and 15-second time-to-closest-approach compliance. GNSS jamming occurs mid-mission for 45 seconds, degrading positioning accuracy. Downlink communication is lost during the same period, limiting telemetry and remote intervention. The flight must respect altitude limits between 10 and 150 meters AGL and complete within 10 minutes. Battery reserve is set to 30%, with energy consumption modeled for fixed-wing aerodynamics and payload drag.",Monocular vision-only navigation with GPS/INS fusion,Radar-aided inertial navigation with gust compensation,Pure GNSS-dependent guidance with RGB obstacle detection,Optical flow-based positioning during communication loss,Pre-mapped trajectory with no real-time obstacle updates,Thermal-only obstacle avoidance without radar input,Lidar-SLAM for precision landing in low visibility,"[""Monocular vision-only navigation with GPS/INS fusion"", ""Radar-aided inertial navigation with gust compensation"", ""Pure GNSS-dependent guidance with RGB obstacle detection"", ""Optical flow-based positioning during communication loss"", ""Pre-mapped trajectory with no real-time obstacle updates"", ""Thermal-only obstacle avoidance without radar input"", ""Lidar-SLAM for precision landing in low visibility""]","Radar provides obstacle detection and terrain correlation during GNSS denial, while INS maintains navigation integrity under wind gusts. It balances energy use, real-time adaptability, and sensor redundancy. Other options fail in visibility, lack fault tolerance, or depend on unavailable sensors." 2025-11-01T17:57:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Volcanic_Zone_Survey_with_Moving_NFZ_84c1b44441c4_mcq.json,uavbench-mcq-v1,Fixed-Wing_Volcanic_Zone_Survey_with_Moving_NFZ,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,UAV must reroute at 1200m AGL to avoid a moving NFZ shifting southwest at 15 km/h while maintaining corridor survey pattern.,"Fixed-wing UAV conducts a survey mission in a volcanic zone with hazardous conditions. The airspace includes a geofenced operational area and two no-fly zones, one static and one moving. Weather features strong crosswinds, poor visibility, and an active ash cloud with increasing wind speed and shifting direction at higher altitudes. The UAV is equipped with RGB and thermal cameras for data collection, relying on GNSS/IMU navigation despite significant GNSS multipath and electromagnetic interference. A dynamic no-fly zone moves southwest, requiring real-time avoidance. The mission follows a corridor pattern with four waypoints, requiring a runway takeoff and landing. A second UAV and a moving spherical obstacle introduce traffic separation challenges. An icing event occurs mid-mission, degrading performance for one minute. Communication experiences brief downlink outages, and battery reserves must account for increased drag and wind. Strict separation thresholds and terrain awareness are critical due to environmental and operational constraints.","Climb to 1500m AGL, proceed direct to WP3","Descend to 1000m AGL, fly southeast to WP2","Maintain 1200m AGL, turn 30° east to bypass NFZ","Hold position for 90 seconds, then resume course","Break pattern, head direct to landing runway",Turn west toward clear airspace below 800m AGL,"Adjust heading 45° east with 1.5km offset, rejoin pattern at WP2","[""Climb to 1500m AGL, proceed direct to WP3"", ""Descend to 1000m AGL, fly southeast to WP2"", ""Maintain 1200m AGL, turn 30° east to bypass NFZ"", ""Hold position for 90 seconds, then resume course"", ""Break pattern, head direct to landing runway"", ""Turn west toward clear airspace below 800m AGL"", ""Adjust heading 45° east with 1.5km offset, rejoin pattern at WP2""]","G avoids the moving NFZ with sufficient lateral margin while accounting for GNSS drift and crosswind. It preserves survey continuity by rejoining the corridor at WP2 with minimal energy use. Other options either penetrate NFZ, increase exposure, or waste battery." 2025-11-01T17:57:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Warehouse_Inspection_in_Icing_Conditions_4a121d54d8a8_mcq.json,uavbench-mcq-v1,Fixed-Wing_Warehouse_Inspection_in_Icing_Conditions,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 205 seconds, how should the UAV adjust for icing while maintaining 10-meter separation from the 18 m/s traffic agent?","Fixed-wing UAV conducts warehouse inspection in dense urban airspace. Mission involves a grid pattern at 15 meters altitude within a confined 100x80 meter zone. Weather includes poor visibility and icing conditions, with a moderate 6.5 m/s wind from 240 degrees. The UAV is equipped with RGB camera, LiDAR, and standard navigation sensors, powered by a 1200 Wh battery. A cylindrical no-fly zone centered at (30, 40) restricts access below 30 meters with an 8-meter radius. Operational constraints include mandatory runway use for takeoff and landing, with preferred and emergency sites designated. A moving spherical obstacle drifts westward at 2 m/s near the flight path. Another UAV traffic agent operates at 18 m/s, requiring separation monitoring with a 10-meter threshold. An icing event occurs at 200 seconds, reducing aerodynamic performance for 90 seconds. Communication experiences a brief downlink loss between 350–365 seconds, and GNSS multipath may affect navigation.",Climb to 20 m and reduce speed by 30% immediately,Descend to 12 m and continue inspection grid,"Hold position at (50, 60) for 90 seconds using LiDAR hover",Shift east by 15 m and increase speed to 20 m/s,Follow parallel path 10 m behind traffic agent,"Turn north for 30 seconds, then resume grid",Broadcast intent to deviate and adjust heading 240° for 20 s,"[""Climb to 20 m and reduce speed by 30% immediately"", ""Descend to 12 m and continue inspection grid"", ""Hold position at (50, 60) for 90 seconds using LiDAR hover"", ""Shift east by 15 m and increase speed to 20 m/s"", ""Follow parallel path 10 m behind traffic agent"", ""Turn north for 30 seconds, then resume grid"", ""Broadcast intent to deviate and adjust heading 240° for 20 s""]","Icing reduces performance, requiring coordinated trajectory adjustment without violating separation. Broadcasting intent maintains situational awareness during GNSS uncertainty. Heading 240° aligns with wind and avoids no-fly zone while preserving swarm timing and communication recovery at 365 s." 2025-11-01T17:57:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_UAV_Inspection_in_Indoor_Warehouse_with_Rain_7aa5a44c8e7d_mcq.json,uavbench-mcq-v1,Amphibious_UAV_Inspection_in_Indoor_Warehouse_with_Rain,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,B,B,True,"An amphibious UAV must inspect 5 waypoints in 600 seconds, avoid a moving obstacle, and maintain 5 m separation under 3 m/s wind.","This is an inspection mission conducted by an amphibious UAV inside an indoor warehouse. The UAV operates in a confined airspace with a maximum altitude of 12 meters AGL and a geofenced area of 20x15 meters. Light rain and poor visibility degrade environmental conditions, while a constant 3 m/s wind from the south adds navigational challenge. The UAV is a battery-powered hexacopter with fixed-wing features, equipped with GNSS, IMU, lidar, and RGB camera for navigation and inspection tasks. A central no-fly cylinder and a moving spherical obstacle near the warehouse center require dynamic avoidance. The mission follows a corridor pattern across five waypoints, requiring precise navigation and adherence to separation minima. The UAV must maintain at least 5 meters separation from other traffic, with a traffic alert threshold of 5 seconds time-to-closest-approach. GNSS multipath is not a major concern indoors, but limited visibility and sensor reliance increase dependency on lidar and inertial navigation. The UAV must return to its starting point within a 600-second time budget, with runway use required despite vertical takeoff capability.",Fly direct paths at max speed to minimize time exposure.,Adjust heading to counter wind drift and maintain formation geometry.,Descend to 3 m AGL to reduce wind impact and conserve battery.,Skip waypoint 3 to save time if the obstacle blocks access.,Increase speed beyond limits to ensure return within 600 s.,Delay departure until wind speed drops below 2 m/s.,Maintain 12 m AGL for better lidar coverage and obstacle detection.,"[""Fly direct paths at max speed to minimize time exposure."", ""Adjust heading to counter wind drift and maintain formation geometry."", ""Descend to 3 m AGL to reduce wind impact and conserve battery."", ""Skip waypoint 3 to save time if the obstacle blocks access."", ""Increase speed beyond limits to ensure return within 600 s."", ""Delay departure until wind speed drops below 2 m/s."", ""Maintain 12 m AGL for better lidar coverage and obstacle detection.""]","Coordinated wind compensation preserves route accuracy and inter-waypoint timing, ensuring mission completion within the time budget. It maintains safe separation from the moving obstacle and supports lidar/IMU fusion reliability. Other options violate altitude limits, timing, or situational awareness required for dynamic obstacle avoidance." 2025-11-01T17:57:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Warehouse_Inspection_in_Lightning_Risk_4ea8ecf5e801_mcq.json,uavbench-mcq-v1,Fixed-Wing_Warehouse_Inspection_in_Lightning_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 290 s, UAV must adjust for wind from 240° at 8 m/s and an approaching lightning risk near the 10–50 m no-fly cylinder.","Fixed-wing UAV conducts warehouse inspection in a powerline corridor with lightning risk. Mission takes place in a defined rectangular airspace with a cylindrical no-fly zone at the center. Weather includes strong winds from 240° at 8 m/s with gusts up to 4 m/s and a risk of lightning. The UAV is equipped with RGB camera, LiDAR, and standard navigation sensors, but no thermal camera. Flight altitude is constrained between 5 m and 60 m AGL within a geofenced polygon. A critical no-fly cylinder blocks the central area from 10 m to 50 m altitude. The UAV must follow a corridor inspection pattern and return to land using a designated runway. Another UAV and a moving spherical obstacle create dynamic traffic and collision risks. Lightning risk and an icing event at 300 seconds challenge flight safety and control. GNSS multipath is not reported, but weather and sensor limitations require careful navigation.",Climb to 65 m AGL to avoid icing and lightning,Descend to 4 m AGL and continue inspection,Enter no-fly cylinder to shorten inspection path,Maintain 50 m altitude and reduce speed,"Divert east, coordinating with other UAV for coverage handoff",Hover in place until lightning risk passes,Accelerate through corridor to finish early,"[""Climb to 65 m AGL to avoid icing and lightning"", ""Descend to 4 m AGL and continue inspection"", ""Enter no-fly cylinder to shorten inspection path"", ""Maintain 50 m altitude and reduce speed"", ""Divert east, coordinating with other UAV for coverage handoff"", ""Hover in place until lightning risk passes"", ""Accelerate through corridor to finish early""]","E ensures cooperative task continuity by transferring coverage to the second UAV, avoiding conflict near the no-fly zone. It respects altitude constraints and wind effects while maintaining mission safety. Other options violate altitude, airspace, or timing constraints under dynamic weather and traffic." 2025-11-01T17:57:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Wind_Farm_Survey_in_Low_Visibility_c0338250e0f2_mcq.json,uavbench-mcq-v1,Fixed-Wing_Wind_Farm_Survey_in_Low_Visibility,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During icing at 14.5 m/s winds and GNSS degradation, which sensor fusion strategy ensures obstacle avoidance and navigation integrity?","Fixed-wing UAV conducts a wind farm survey mission in poor visibility with icing conditions. The flight occurs within a defined polygonal airspace near active wind turbines, featuring strict altitude limits from 30 to 200 meters AGL. Weather includes strong, gusty winds up to 14.5 m/s increasing with altitude and shifting direction, plus hazardous icing. The UAV is equipped with RGB and thermal cameras, LiDAR, radar, and full navigation sensors for data collection and obstacle avoidance. GNSS signals are degraded due to multipath effects and moderate jamming, while electromagnetic interference is present. A static no-fly zone surrounds a turbine, and a dynamic no-fly zone moves through the area during the mission. Another UAV and a moving spherical obstacle challenge separation requirements, with a 50-meter minimum distance threshold. The mission requires a runway takeoff and landing, following a corridor pattern survey with tight time constraints. An icing fault event occurs mid-mission, reducing performance for one minute at 60% severity. Communication experiences brief downlink losses, and battery endurance must account for increased drag and reserve margins.",Rely solely on GNSS with radar altimeter backup,Use LiDAR-only mapping for all obstacle detection,"Fuse IMU, radar, and visual odometry with thermal weighting",Depend on pre-mission GPS waypoints with no updates,Switch to thermal-only navigation during visibility drops,Prioritize real-time wind vector correction via RGB flow,Trust electromagnetic compass for heading in turbine zones,"[""Rely solely on GNSS with radar altimeter backup"", ""Use LiDAR-only mapping for all obstacle detection"", ""Fuse IMU, radar, and visual odometry with thermal weighting"", ""Depend on pre-mission GPS waypoints with no updates"", ""Switch to thermal-only navigation during visibility drops"", ""Prioritize real-time wind vector correction via RGB flow"", ""Trust electromagnetic compass for heading in turbine zones""]","GNSS is degraded by multipath and jamming, making standalone use unreliable. Radar and IMU-visual odometry fusion compensates for GNSS outages and LiDAR limitations in poor visibility and precipitation. Integrating thermal data enhances dynamic obstacle detection while maintaining navigation integrity under icing and EMI conditions." 2025-11-01T17:57:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/FixedWingSatelliteRelayOffshore_301a5586c082_mcq.json,uavbench-mcq-v1,FixedWingSatelliteRelayOffshore,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"At 180m AGL, UAV faces 14 m/s crosswind, GNSS at -75 dBm, and 30m minimum altitude. What action maintains mission safety and compliance?","Fixed-wing UAV conducts satellite link relay mission offshore near an oil platform. Operating in controlled offshore airspace with a defined geofence and minimum altitude of 30 meters. Mission involves maintaining communication relay via orbit pattern around designated waypoints. UAV equipped with radar and RGB camera payload, relying on GNSS, IMU, and barometer for navigation. Strong crosswinds present, increasing with altitude up to 15 m/s at 200 meters. Wind shifts direction with altitude, creating challenging flight conditions and drift correction needs. GNSS signals affected by multipath interference and moderate jamming at -75 dBm. Electromagnetic interference and periodic downlink outages add communication constraints. A no-fly zone cylinder blocks access to central airspace near platform structures. Traffic from another UAV and a moving spherical obstacle require active separation and avoidance.",Descend to 35m AGL to reduce wind drift,Climb to 200m for stronger GNSS signal,Hold altitude and increase bank angle,Orbit at 180m using radar-assisted navigation,Descend to 25m AGL to avoid wind shear,Divert to offshore runway immediately,Ascend to 210m to clear obstacle traffic,"[""Descend to 35m AGL to reduce wind drift"", ""Climb to 200m for stronger GNSS signal"", ""Hold altitude and increase bank angle"", ""Orbit at 180m using radar-assisted navigation"", ""Descend to 25m AGL to avoid wind shear"", ""Divert to offshore runway immediately"", ""Ascend to 210m to clear obstacle traffic""]","Descending to 35m AGL respects the 30m minimum altitude while reducing crosswind exposure, which improves stability and control. At 180m, wind increases to 15 m/s and causes drift, raising collision risk near obstacles. Option A maintains VLOS-like control, avoids NFZ encroachment, and mitigates GNSS degradation by reducing dynamic stress on navigation filters." 2025-11-01T17:57:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Search_and_Rescue_Mission_ea51f87ffed8_mcq.json,uavbench-mcq-v1,Arctic_Search_and_Rescue_Mission,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,C,C,True,"During Arctic search with 15 m/s winds and GNSS jamming, how should the UAV respond to an icing-induced stall risk while ensuring secure control?","Fixed-wing UAV conducts Arctic search and rescue mission in a designated polar airspace with challenging weather. The environment features strong winds up to 15 m/s, shifting with altitude, and poor visibility due to hail and icing conditions. The UAV is equipped with radar, RGB and thermal cameras, and standard navigation sensors, supporting detection in harsh conditions. It operates within a bounded polygonal airspace between 30 and 300 meters AGL, avoiding two no-fly zones—one static and one moving. A dynamic obstacle and another UAV traffic pose collision risks, requiring strict separation management. GNSS signals suffer from multipath and moderate jamming, while electromagnetic interference impacts sensor reliability. The mission involves flying a corridor search pattern across five waypoints within a 10-minute time budget, requiring runway use for takeoff and landing. Battery endurance is limited, with a reserve fraction of 30% to ensure safe return. An icing fault event occurs mid-mission, degrading performance temporarily and increasing stall risk.",Increase throttle and pitch up immediately to regain lift,Disable GNSS and rely solely on unencrypted ADS-B for positioning,Switch to encrypted inertial-only mode with authenticated command checks,Transmit unverified control commands to override autopilot limits,Descend rapidly below 30 m AGL to avoid wind shear and icing,Use raw thermal camera data to spoof GPS for navigation recovery,Maintain current heading using unsecured telemetry from ground station,"[""Increase throttle and pitch up immediately to regain lift"", ""Disable GNSS and rely solely on unencrypted ADS-B for positioning"", ""Switch to encrypted inertial-only mode with authenticated command checks"", ""Transmit unverified control commands to override autopilot limits"", ""Descend rapidly below 30 m AGL to avoid wind shear and icing"", ""Use raw thermal camera data to spoof GPS for navigation recovery"", ""Maintain current heading using unsecured telemetry from ground station""]",Switching to encrypted inertial navigation preserves control integrity during GNSS jamming and prevents spoofing. Authenticated commands ensure cyber-physical security against injection attacks. This maintains stability and mission continuity despite sensor degradation and adversarial conditions. 2025-11-01T17:57:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Corridor_Follow_in_Rain_87ceee68577b_mcq.json,uavbench-mcq-v1,Forest_Corridor_Follow_in_Rain,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 9 m/s winds, icing for 60s, and GNSS faults, which action optimizes energy and safety during corridor inspection?","This mission involves a single helicopter UAV conducting an inspection along a forest corridor under rainy and icy conditions. The flight occurs within a defined polygonal airspace bounded between 10 and 60 meters AGL, featuring a static no-fly zone and a moving restricted zone. The UAV is equipped with a battery-powered rotorcraft system, carrying an RGB camera and LiDAR payload for data collection. Strong winds up to 9 m/s with gusts and directional shear are present, increasing control difficulty. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference further challenges navigation. The UAV must avoid a dynamic no-fly cylinder and a moving spherical obstacle while maintaining separation from oncoming UAV traffic. An icing event fault is triggered mid-mission, reducing performance for one minute. Communication experiences brief dropouts, requiring robust autonomy. The mission prioritizes corridor following under poor visibility, while managing energy and avoiding breaches. Success depends on safe navigation through adverse weather, interference, and dynamic obstacles within strict altitude and geofence limits.",Increase rotor RPM to maintain altitude in wind shear,Descend to 10m AGL to reduce wind exposure,Disable LiDAR to save power during icing event,Circle until GNSS signal stabilizes,Climb to 60m AGL for clearer communications,Transmit full LiDAR data stream continuously,Jettison RGB camera to reduce load,"[""Increase rotor RPM to maintain altitude in wind shear"", ""Descend to 10m AGL to reduce wind exposure"", ""Disable LiDAR to save power during icing event"", ""Circle until GNSS signal stabilizes"", ""Climb to 60m AGL for clearer communications"", ""Transmit full LiDAR data stream continuously"", ""Jettison RGB camera to reduce load""]","Disabling LiDAR during the icing event reduces power demand when performance is degraded, conserving battery for critical control. It maintains mission viability by prioritizing essential navigation over non-essential data. Other options increase energy use or risk, worsening endurance under constrained conditions." 2025-11-01T17:57:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Foggy_Urban_Mapping_with_Quadrotor_aaf88d86c86f_mcq.json,uavbench-mcq-v1,Foggy_Urban_Mapping_with_Quadrotor,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"Which action balances 6 m/s winds, 30% battery reserve, and 25m separation in urban mapping at 40m altitude?","This mission involves a quadrotor UAV conducting an urban mapping operation in a dense city environment. The flight occurs within a 200m by 200m geofenced area with a minimum altitude of 10m and a maximum of 120m AGL. A no-fly zone is present as a cylindrical exclusion zone centered at (100m, 100m) with a 20m radius, extending from 10m to 120m altitude. The UAV is equipped with an RGB camera for visual mapping and relies on GNSS, IMU, magnetometer, and barometer for navigation. Weather conditions include strong 6 m/s winds from 240 degrees, gusts up to 3.5 m/s, and poor visibility due to fog, which may impact visual sensing and GNSS signal quality. The UAV has a total battery capacity of 450 Wh and a reserve fraction of 30%, limiting usable energy for the mission. It must complete a grid-pattern mapping route covering four waypoints at 40m altitude within a 600-second time budget. A second UAV is present in the airspace, flying at 8 m/s, requiring a minimum separation of 25m and a time-to-closest-approach threshold of 10 seconds for detect-and-avoid compliance. A moving spherical obstacle travels through the area at a steady velocity, adding dynamic collision risk. The UAV begins at (10m, 10m, 20m) and is expected to land at a preferred site near (190m, 190m), with an emergency landing option available.",Climb to 120m to avoid obstacles and improve GNSS lock,Descend to 15m to reduce wind exposure and save power,Maintain 40m altitude with reduced speed for stable imaging,Accelerate to complete mapping before battery depletes,Divert to emergency landing due to poor visibility risks,Fly direct path ignoring grid pattern to save energy,Delay launch until wind gusts subside below 3 m/s,"[""Climb to 120m to avoid obstacles and improve GNSS lock"", ""Descend to 15m to reduce wind exposure and save power"", ""Maintain 40m altitude with reduced speed for stable imaging"", ""Accelerate to complete mapping before battery depletes"", ""Divert to emergency landing due to poor visibility risks"", ""Fly direct path ignoring grid pattern to save energy"", ""Delay launch until wind gusts subside below 3 m/s""]","Maintaining 40m satisfies mapping resolution and no-fly zone clearance while enabling stable flight in crosswinds. Reduced speed conserves energy, ensures image quality, and allows detect-and-avoid compliance with the second UAV. Other options violate altitude limits, energy budget, or separation requirements." 2025-11-01T17:57:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_BVLOS_Test_with_Quadrotor_in_Rain_c512d735801f_mcq.json,uavbench-mcq-v1,Forest_BVLOS_Test_with_Quadrotor_in_Rain,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 240s, icing reduces performance by 40% amid downlink outages; GNSS signal drops to -83 dBm. What action ensures control and data integrity?","This is a BVLOS inspection mission in a forested area using a quadrotor UAV equipped with GNSS, IMU, lidar, and RGB camera. The UAV operates within a defined 200m x 300m geofenced airspace, between 10m and 120m AGL. Weather conditions include moderate rain, poor visibility, 6 m/s winds from 240°, gusts up to 3.5 m/s, and potential icing. A static no-fly zone (cylinder, 30m radius) and a dynamic moving NFZ (drifting at 2.2 m/s) must be avoided. The UAV must follow a corridor inspection pattern through four waypoints while managing a time budget of 600 seconds. A second UAV enters the airspace from the southeast at 8 m/s, requiring separation maintenance above 25m threshold. A small moving obstacle drifts southwest near the third waypoint. An icing event occurs at 240 seconds, reducing performance by 40% for one minute. Communication experiences two brief downlink outages, and signal strength must remain above -85 dBm.",Switch to lidar-aided INS and encrypt telemetry with AES-256,Increase GNSS update frequency to override signal loss,Disable IMU filtering to reduce control latency,Rely solely on RGB vision for navigation during outage,Transmit unencrypted status bursts to maintain link,Ascend to 130m AGL for stronger signal reception,Halt propulsion until GNSS signal exceeds -80 dBm,"[""Switch to lidar-aided INS and encrypt telemetry with AES-256"", ""Increase GNSS update frequency to override signal loss"", ""Disable IMU filtering to reduce control latency"", ""Rely solely on RGB vision for navigation during outage"", ""Transmit unencrypted status bursts to maintain link"", ""Ascend to 130m AGL for stronger signal reception"", ""Halt propulsion until GNSS signal exceeds -80 dBm""]",Switching to lidar-aided INS maintains navigation accuracy during GNSS degradation while preserving control stability. AES-256 encryption ensures data integrity despite downlink vulnerabilities. This balances cyber resilience and physical control under icing and signal stress. 2025-11-01T17:57:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Disaster_Recon_with_Heavy_Lift_UAV_650cef9554e1_mcq.json,uavbench-mcq-v1,Forest_Disaster_Recon_with_Heavy_Lift_UAV,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"At 140 m AGL with icing fault and 12 m/s winds, UAV must reach WP4 in 4 min while avoiding a moving obstacle and maintaining 50 m separation.","This is a search and rescue mission conducted in a forested airspace using a heavy-lift multirotor UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The UAV operates within a defined geofenced area between 20 and 150 meters AGL, with a static no-fly zone near the southern edge and a moving restricted zone drifting northwest. Weather conditions include strong winds up to 12 m/s increasing with altitude, poor visibility, and icing conditions that trigger a simulated icing fault mid-mission. The UAV must navigate around a moving spherical obstacle and avoid proximity breaches with another UAV flying through the area. GNSS signals are degraded due to multipath effects, moderate jamming at -95 dBm, and electromagnetic interference, complicating navigation. The flight path follows a corridor pattern through five waypoints, requiring precise routing under a 10-minute time budget. Launch and return occur at the same preferred site, with an emergency landing option at the far corner. Battery capacity is substantial but constrained by high hover power draw and reserve requirements, especially during wind and icing events. Communication experiences brief downlink outages, and the UAV must maintain separation of at least 50 meters with a 30-second time-to-closest-approach threshold. The scenario emphasizes robust navigation, energy management, and fault resilience in challenging forested and dynamic environments.","Descend to 100 m AGL, continue direct to WP4","Climb to 150 m AGL for clearer GNSS, proceed",Divert east to emergency landing immediately,Hold position at 140 m until obstacle clears,"Reduce speed to conserve battery, stay on course","Descend to 30 m AGL to avoid icing, fly detour",Execute return to launch via southern corridor,"[""Descend to 100 m AGL, continue direct to WP4"", ""Climb to 150 m AGL for clearer GNSS, proceed"", ""Divert east to emergency landing immediately"", ""Hold position at 140 m until obstacle clears"", ""Reduce speed to conserve battery, stay on course"", ""Descend to 30 m AGL to avoid icing, fly detour"", ""Execute return to launch via southern corridor""]","Descending to 100 m AGL remains within the 20–150 m AGL band, reduces icing risk and wind exposure, and maintains progress toward WP4 within the time budget. Other options violate altitude limits, increase icing, ignore separation, or waste time. A balances fault resilience, timing, and energy while adhering to all constraints." 2025-11-01T17:57:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Corridor_Follow_with_Helicopter_in_Fog_3393f22c137b_mcq.json,uavbench-mcq-v1,Forest_Corridor_Follow_with_Helicopter_in_Fog,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,D,False,"Helicopter UAV has 10-min endurance, 60m max altitude, and must avoid obstacles in fog with 2 comms dropouts.","This is an inspection mission using a battery-powered helicopter UAV equipped with RGB camera, LiDAR, and standard navigation sensors. The flight occurs in a forested corridor with poor visibility due to fog and moderate wind from the southwest. The UAV must follow a predefined waypoint path while maintaining altitude between 10 and 60 meters AGL. A static no-fly zone and a moving no-fly cylinder create dynamic airspace constraints. Another UAV and a moving spherical obstacle travel through the area, requiring separation assurance. The detect-and-avoid system enforces a 10-meter separation and 5-second time-to-closest-approach threshold. GNSS performance may be degraded due to canopy cover and fog, increasing reliance on IMU and LiDAR. Communication dropouts are expected at two intervals during the mission. The helicopter must complete the route within 10 minutes while avoiding collisions, geofence breaches, and low-altitude violations.",Fly highest altitude continuously to avoid trees,Descend to 10m to reduce wind resistance,Hover 30s at each waypoint for stable scans,Reduce LiDAR frame rate during comms dropout,Increase speed to 15m/s to finish early,Maintain 30m altitude and full sensor suite active,Circle moving obstacle to ensure detection,"[""Fly highest altitude continuously to avoid trees"", ""Descend to 10m to reduce wind resistance"", ""Hover 30s at each waypoint for stable scans"", ""Reduce LiDAR frame rate during comms dropout"", ""Increase speed to 15m/s to finish early"", ""Maintain 30m altitude and full sensor suite active"", ""Circle moving obstacle to ensure detection""]","Reducing LiDAR frame rate saves power during comms dropouts when data cannot be transmitted, preserving battery for critical navigation. It balances sensing needs and energy use, ensuring mission completion within 10 minutes while maintaining safe separation and altitude." 2025-11-01T17:57:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Fog_Mapping_with_High-Altitude_Pseudo-Satellite_b5d5f2e59984_mcq.json,uavbench-mcq-v1,Forest_Fog_Mapping_with_High-Altitude_Pseudo-Satellite,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 1,500 m AGL in fog with icing at 2,000 m, how should the UAV adjust climb and swarm separation under wind and GNSS interference?","This mission involves a high-altitude pseudo-satellite UAV conducting a forest mapping operation in poor visibility with fog and icing conditions. The flight occurs within a defined forest airspace with a geofenced area and multiple no-fly zones, including a dynamic moving restriction. The UAV is equipped with radar, RGB and thermal cameras, relying on battery power with a substantial endurance requirement. Strong winds increase with altitude, and thermal updrafts are present, affecting flight dynamics. GNSS signals suffer from multipath and moderate jamming, compounded by electromagnetic interference. The UAV must maintain separation from static and dynamic obstacles, including another UAV in the airspace. A three-drone swarm operates with role specialization, requiring minimum inter-UAV separation of 75 meters. The primary mission is grid-pattern mapping at 1,500 meters AGL, with a climb to 2,000 meters, while avoiding restricted zones. An icing fault event is scheduled mid-mission, reducing performance temporarily. Communication experiences brief downlink losses, requiring resilient data handling.","Climb rapidly to 2,000 m to exploit strong upper winds for energy savings",Delay climb until after icing event to preserve aerodynamic performance,Reduce speed to minimize ice accumulation risk on leading edges,"Descend to 1,200 m to avoid icing and improve GNSS signal clarity",Increase inter-UAV distance to 100 m for safer spacing in poor visibility,"Maintain grid pattern at 1,500 m and skip climb due to jamming risks","Proceed to 2,000 m on schedule using thermal updrafts to offset ice drag","[""Climb rapidly to 2,000 m to exploit strong upper winds for energy savings"", ""Delay climb until after icing event to preserve aerodynamic performance"", ""Reduce speed to minimize ice accumulation risk on leading edges"", ""Descend to 1,200 m to avoid icing and improve GNSS signal clarity"", ""Increase inter-UAV distance to 100 m for safer spacing in poor visibility"", ""Maintain grid pattern at 1,500 m and skip climb due to jamming risks"", ""Proceed to 2,000 m on schedule using thermal updrafts to offset ice drag""]","Climbing on schedule using thermal updrafts offsets ice-induced drag while maintaining mission timing and swarm coordination. It balances energy efficiency, aerodynamic degradation from icing, and navigation accuracy by leveraging natural lift. Other options either compromise altitude compliance, energy use, or separation requirements under dynamic constraints." 2025-11-01T17:57:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Heli-Point_Hover_Inspection_with_Lightning_Risk_389b3747efbe_mcq.json,uavbench-mcq-v1,Forest_Heli-Point_Hover_Inspection_with_Lightning_Risk,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 300 s, with GNSS jamming and 6 m/s winds from 240°, what minimizes position error while conserving energy?","This is an inspection mission conducted in forest airspace using a quadrotor UAV equipped with RGB and thermal cameras. The UAV operates within a defined geofenced area with a no-fly zone centered at (100, 75) and must avoid a moving spherical obstacle drifting northwest. Mission waypoints are arranged in an orbit pattern with loitering at each point, requiring precise hover and positioning. The UAV is battery-powered with a 320 Wh capacity and has a reserve energy fraction of 30%. Weather includes 6 m/s winds from 240 degrees with gusts up to 3.5 m/s and a lightning risk, necessitating cautious operations. GNSS signals may be degraded due to forest canopy and a scheduled 20-second GNSS jamming fault at 300 seconds. A second UAV traffic agent is present, moving through the airspace, requiring separation maintenance below 10 meters and a TTC threshold of 5 seconds. Communication experiences a brief downlink/uplink loss window between 280 and 320 seconds. The mission must be completed within 600 seconds while avoiding geofence breaches, collisions, and loss of separation.",Descend to reduce drag and stabilize with ground effect,Increase throttle to counteract wind gusts and maintain altitude,Bank steeply to escape no-fly zone without yaw adjustment,Hover at reduced rotor RPM to save battery during communication loss,Pitch forward 15° to increase airspeed and improve control response,Turn downwind to reduce relative wind and lower power demand,Execute vertical climb to regain GNSS signal lock quickly,"[""Descend to reduce drag and stabilize with ground effect"", ""Increase throttle to counteract wind gusts and maintain altitude"", ""Bank steeply to escape no-fly zone without yaw adjustment"", ""Hover at reduced rotor RPM to save battery during communication loss"", ""Pitch forward 15° to increase airspeed and improve control response"", ""Turn downwind to reduce relative wind and lower power demand"", ""Execute vertical climb to regain GNSS signal lock quickly""]","Descending leverages ground effect, reducing induced drag and rotor power demand by up to 25%, which conserves energy. It improves hover stability during GNSS denial by attenuating vertical drift. Other options increase power use, risk collision, or degrade control in degraded navigation." 2025-11-01T17:57:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Lightning_Risk_with_Moving_NFZ_5235f5356ba3_mcq.json,uavbench-mcq-v1,Forest_Lightning_Risk_with_Moving_NFZ,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 40m AGL with 7 m/s winds from 240° and a 2.8 m/s moving NFZ, what ensures safe grid survey completion within 600s and 30% battery reserve?","This is a forest survey mission using a convertiplane UAV equipped with RGB camera and LiDAR payload. The flight occurs in a 200m x 200m forested area with a static no-fly zone near the center and an additional moving NFZ drifting diagonally at 2.8 m/s. Weather includes 7 m/s winds from 240° with gusts up to 4 m/s and a lightning risk, requiring cautious operations. The UAV operates between 10m and 120m AGL, following a grid survey pattern at 40m altitude, with a final waypoint near the restricted zone. A distant moving UAV approaches from the east, and a low-altitude spherical obstacle drifts northward, adding dynamic collision risks. The convertiplane must maintain separation of at least 25m from traffic and avoid GNSS-denied zones, with comms experiencing brief dropouts at 120s and 400s. The mission requires a runway takeoff and landing, with transition times between hover and forward flight factored in. Battery capacity is limited, with a 30% reserve required, constraining total flight time to under 600 seconds. Lightning risk and dynamic obstacles demand robust path planning and real-time avoidance. The scenario emphasizes navigation accuracy, energy management, and safe operation in cluttered, changing airspace.",Increase airspeed to 18 m/s to outrun the drifting NFZ,Descend to 10m AGL to reduce wind-induced drift and drag,Maintain 15 m/s forward flight with periodic hover checks,Fly downwind at 20 m/s to maximize ground coverage speed,Transition to hover mode to await NFZ passage,Bank 30° toward the moving UAV to increase separation,Reduce throttle to 60% during crosswind legs to save power,"[""Increase airspeed to 18 m/s to outrun the drifting NFZ"", ""Descend to 10m AGL to reduce wind-induced drift and drag"", ""Maintain 15 m/s forward flight with periodic hover checks"", ""Fly downwind at 20 m/s to maximize ground coverage speed"", ""Transition to hover mode to await NFZ passage"", ""Bank 30° toward the moving UAV to increase separation"", ""Reduce throttle to 60% during crosswind legs to save power""]","Maintaining 15 m/s balances propulsive efficiency and aerodynamic stability in crosswind conditions, minimizing induced and parasitic drag. Periodic hover checks ensure payload accuracy and allow real-time obstacle reassessment without excessive energy use. Other options either increase drag, risk collision, or violate energy budget and separation constraints." 2025-11-01T17:57:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Package_Delivery_with_Gusts_cad522c08e93_mcq.json,uavbench-mcq-v1,Forest_Package_Delivery_with_Gusts,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,F,False,"Given 6 m/s wind from 240°, a 1 kg payload, and 25 m separation minima, what flight profile maximizes energy efficiency while ensuring collision avoidance?","Fixed-wing UAV conducts a package delivery mission in a forested airspace. The flight operates within a defined corridor from 20 to 150 meters above ground level. Weather includes a 6 m/s wind from 240 degrees with 4.5 m/s gusts, though visibility is good. The UAV is equipped with a battery-powered fixed-wing configuration and carries a 1 kg package. Sensors include GNSS, IMU, magnetometer, barometer, and RGB camera for navigation and monitoring. A no-fly zone cylinder is present at the center of the area, restricting access between 20 and 100 meters. The mission requires runway-assisted takeoff and landing, aligned with a 240-degree heading. A second UAV and a moving spherical obstacle create dynamic traffic and collision risks. Separation minima are enforced, with a 25-meter threshold and 15-second time-to-close alert. GNSS multipath effects may occur near forested terrain, requiring robust navigation solutions.",Climb to 150 m immediately to avoid obstacles early,Fly direct at 20 m AGL to minimize distance traveled,Descend below 20 m to exploit wind shelter near trees,Maintain 100 m altitude to balance clearance and battery,Loiter at 80 m to wait for second UAV to pass,Follow 240° heading at 100 m to align with wind direction,Zigzag laterally to maintain visual tracking of obstacles,"[""Climb to 150 m immediately to avoid obstacles early"", ""Fly direct at 20 m AGL to minimize distance traveled"", ""Descend below 20 m to exploit wind shelter near trees"", ""Maintain 100 m altitude to balance clearance and battery"", ""Loiter at 80 m to wait for second UAV to pass"", ""Follow 240° heading at 100 m to align with wind direction"", ""Zigzag laterally to maintain visual tracking of obstacles""]","Flying along the 240° heading at 100 m aligns with the wind direction, reducing relative airspeed and power demand. It avoids the no-fly zone (20–100 m cylinder) laterally and maintains safe separation without costly climbs. This optimizes battery use while ensuring mission continuity and sensor efficiency under GNSS multipath constraints." 2025-11-01T17:57:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Mapping_with_VTOL_Tiltrotor_in_Strong_Crosswind_f60f128daa54_mcq.json,uavbench-mcq-v1,Forest_Mapping_with_VTOL_Tiltrotor_in_Strong_Crosswind,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"At 95 m AGL, 8.5 m/s crosswind from 240°, and 400 s elapsed, what action maintains safety and mission success?","This scenario involves a forest mapping mission using a VTOL tiltrotor UAV equipped with RGB camera and LiDAR payload. The flight takes place in a forested airspace with a defined geofence and two no-fly zones, one of which is dynamic and moving. A strong crosswind of 8.5 m/s from 240° increases with altitude, accompanied by gusts up to 4.2 m/s and a wind shear profile across layers. The UAV must maintain safe separation from static and moving obstacles, including another UAV on a crossing path. GNSS signals are degraded due to multipath effects and electromagnetic interference, with brief communication loss windows during the mission. The mission requires precise navigation within an altitude range of 10–120 m AGL and adherence to a grid mapping pattern over four key waypoints. The UAV must complete the mapping within a 600-second time budget and perform a runway-assisted landing. Battery endurance is constrained, with a reserve fraction of 30% and high power draw during hover and transitions. Thermal updrafts near the center of the map may affect flight stability, requiring adaptive control.",Climb to 120 m AGL to avoid wind shear,Descend to 10 m AGL and continue mapping,Hold altitude and reduce speed to stabilize,Abort mapping and divert directly to runway,Turn back toward launch area immediately,Descend to 60 m AGL and adjust track spacing,Accelerate to exit NFZ before 600 s,"[""Climb to 120 m AGL to avoid wind shear"", ""Descend to 10 m AGL and continue mapping"", ""Hold altitude and reduce speed to stabilize"", ""Abort mapping and divert directly to runway"", ""Turn back toward launch area immediately"", ""Descend to 60 m AGL and adjust track spacing"", ""Accelerate to exit NFZ before 600 s""]","Descending to 60 m AGL balances wind exposure, sensor coverage, and battery use while staying within the 10–120 m AGL band. It avoids dynamic NFZ and conserves energy for landing, unlike riskier climbs or premature aborts. Other options violate endurance, separation, or altitude constraints." 2025-11-01T17:57:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Powerline_Inspection_with_Hexacopter_Under_Microburst_Risk_5a472b0d57f2_mcq.json,uavbench-mcq-v1,Forest_Powerline_Inspection_with_Hexacopter_Under_Microburst_Risk,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,F,False,"At 480s, a high-severity microburst hits; wind gusts reach 4.5 m/s. Which action ensures control stability and secure navigation under GNSS jamming?","This is a powerline inspection mission conducted in a forested area using a hexacopter UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The flight occurs within a defined rectangular geofenced airspace, with a minimum altitude of 10 meters AGL and a ceiling of 120 meters. Weather conditions include strong winds at 8.5 m/s from 240 degrees, gusts up to 4.5 m/s, and a high risk of microbursts, with wind speed increasing significantly with altitude. The UAV must avoid two no-fly zones: a static cylinder near the center and a moving cylindrical zone drifting southwest at 2.5 m/s. Additional challenges include GNSS multipath interference, electromagnetic noise, and moderate signal jamming, all affecting navigation reliability. The hexacopter carries a 0.7 kg payload and relies on battery power, requiring careful energy management to complete the 600-second mission within its 420 Wh capacity. A second UAV is present in the airspace, flying predictably but requiring separation monitoring to maintain a minimum safe distance of 25 meters. Dynamic obstacles such as a drifting sphere and thermal updrafts near coordinates (180, 220) add complexity to path planning and stability control. Two faults are simulated: a 10-second communication loss at 320 seconds and a high-severity microburst event at 480 seconds that impacts flight dynamics. The mission ends with either successful waypoint completion or early landing at designated preferred or emergency sites based on contingencies.",Rely solely on GNSS and increase throttle to maintain altitude,Switch to INS-only mode and reduce airspeed to minimize drift,Use unencrypted telemetry to request ground station intervention,Activate open-loop control and descend rapidly to 10m AGL,Transmit unauthenticated commands to re-route via backup waypoint,Engage vision-aided navigation with encrypted sensor fusion,Disable LiDAR to save power and trust GPS despite jamming,"[""Rely solely on GNSS and increase throttle to maintain altitude"", ""Switch to INS-only mode and reduce airspeed to minimize drift"", ""Use unencrypted telemetry to request ground station intervention"", ""Activate open-loop control and descend rapidly to 10m AGL"", ""Transmit unauthenticated commands to re-route via backup waypoint"", ""Engage vision-aided navigation with encrypted sensor fusion"", ""Disable LiDAR to save power and trust GPS despite jamming""]","F maintains resilience by fusing encrypted vision and inertial data, preserving integrity during GNSS denial. It ensures control stability and secure re-routing. Other options either ignore cyber threats or compromise physical control." 2025-11-01T17:57:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Search_at_Airport_Perimeter_in_Rain_084f672b68c2_mcq.json,uavbench-mcq-v1,Forest_Search_at_Airport_Perimeter_in_Rain,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,"At 280s, one drone ices at 45m AGL in 6 m/s winds; remaining energy is 32%. What action balances safety, energy, and swarm cohesion?","This is a search and rescue mission conducted by a four-drone swarm near an airport perimeter. The operation takes place in a designated airspace with a static no-fly zone and a moving restricted zone. Weather conditions include moderate rain, poor visibility, 6 m/s winds from 240°, gusts, and icing risk. The UAVs are multirotor drones equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. GNSS signals are degraded due to multipath effects and interference, with occasional downlink outages. Drones must maintain at least 25 meters separation and avoid collisions with a moving spherical obstacle. The swarm follows a grid search pattern between 30–120 meters AGL, avoiding the runway area. One drone experiences an icing event at 280 seconds, reducing performance temporarily. Battery endurance is critical, with a 30% reserve required and limited energy due to drag and weather. Communication links face intermittent losses, and the mission must complete within 600 seconds.",Descend to 30m AGL to reduce wind exposure and save energy,Climb to 120m AGL for clearer GNSS and thermal line-of-sight,Hold position at 45m AGL until ice sheds naturally,"Exit swarm, return to base for immediate landing",Increase speed to 8 m/s to finish search before battery drops,Ascend to 100m AGL and reduce speed to 3 m/s for stability,Shift left 50m laterally to reposition in stronger signal zone,"[""Descend to 30m AGL to reduce wind exposure and save energy"", ""Climb to 120m AGL for clearer GNSS and thermal line-of-sight"", ""Hold position at 45m AGL until ice sheds naturally"", ""Exit swarm, return to base for immediate landing"", ""Increase speed to 8 m/s to finish search before battery drops"", ""Ascend to 100m AGL and reduce speed to 3 m/s for stability"", ""Shift left 50m laterally to reposition in stronger signal zone""]","Descending to 30m AGL minimizes wind-induced drag and power use while staying within the safe altitude band and maintaining swarm coordination. It avoids GNSS vulnerability at higher altitudes and preserves energy for the 30% reserve, despite marginal visibility. Other options either increase energy use, risk separation, or compromise search integrity." 2025-11-01T17:57:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Search_in_Mountainous_Icing_Conditions_78dab39e09f6_mcq.json,uavbench-mcq-v1,Forest_Search_in_Mountainous_Icing_Conditions,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 800 m AGL in gusty winds and icing, GNSS degrades with moderate jamming; which navigation strategy maintains position integrity?","Search and rescue mission in mountainous terrain using a convertiplane UAV equipped with RGB and thermal cameras, LiDAR, and full sensor suite. The operation occurs in poor visibility with icing conditions and strong, gusty winds increasing with altitude. UAV must navigate around static and moving no-fly zones while maintaining separation from other traffic. GNSS signals suffer from multipath and moderate jamming, and electromagnetic interference affects communications. The flight envelope is constrained between 50 m and 1200 m AGL within a defined geofenced polygon. A dynamic obstacle and a wind shear profile add complexity to flight planning and control. Icing event temporarily degrades aerodynamic performance mid-mission, reducing efficiency. UAV must follow a corridor search pattern with transition delays between hover and forward flight. Communication dropouts occur twice during the mission, challenging command reliability. Landing requires runway alignment, with limited preferred and emergency landing zones available.",Rely solely on GNSS with Kalman smoothing,Switch to IMU-only dead reckoning,Fuse LiDAR-SLAM with thermal odometry,Use RGB optical flow in poor visibility,Increase reliance on magnetometer heading,Descend immediately below 50 m AGL,Trust pre-mission GPS waypoints exclusively,"[""Rely solely on GNSS with Kalman smoothing"", ""Switch to IMU-only dead reckoning"", ""Fuse LiDAR-SLAM with thermal odometry"", ""Use RGB optical flow in poor visibility"", ""Increase reliance on magnetometer heading"", ""Descend immediately below 50 m AGL"", ""Trust pre-mission GPS waypoints exclusively""]","LiDAR-SLAM provides terrain-relative positioning resilient to GNSS jamming and multipath, while thermal odometry aids in low-visibility feature tracking. Fusing both mitigates drift from IMU during icing-induced maneuver lag. This maintains navigation integrity within geofence and wind shear constraints." 2025-11-01T17:57:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Search_in_Industrial_Plant_with_Fixed-Wing_UAV_under_Hot_Temperature_Extremes_7bcc77c31a6e_mcq.json,uavbench-mcq-v1,Forest_Search_in_Industrial_Plant_with_Fixed-Wing_UAV_under_Hot_Temperature_Extremes,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 110 m AGL, 13.5 m/s wind with 4 m/s gusts shifts from 240° to 260°. Maintain search efficiency, separation from UAV, and avoid drifting obstacle.","Fixed-wing UAV conducts search and rescue in an industrial plant with forested zones. Mission takes place in a restricted industrial airspace with a cylindrical no-fly zone. UAV operates between 20 and 120 meters AGL, following a predefined corridor pattern. Environmental conditions include strong winds up to 13.5 m/s and wind shear with altitude. Wind direction shifts from 240° at ground to 260° at 100 meters, with gusts up to 4 m/s. UAV is equipped with RGB and thermal cameras for detection in hot temperature conditions. GNSS signals are degraded due to multipath effects and electromagnetic interference. A second UAV enters the airspace from the east, requiring separation of at least 25 meters. Moving obstacles, including a drifting spherical object, add dynamic collision risk. Communication experiences two brief downlink loss windows, and runway landing is required.",Descend to 25 m for stable GNSS and lower wind exposure,Climb to 120 m for better camera coverage and wind alignment,"Hold altitude, reduce speed to conserve energy and adjust heading",Turn east to intercept second UAV for coordinated search,"Enter spiral descent to evade obstacle, prioritizing collision avoidance",Accelerate westward to exit wind shear zone quickly,"Maintain current path, relying on autopilot through communication loss","[""Descend to 25 m for stable GNSS and lower wind exposure"", ""Climb to 120 m for better camera coverage and wind alignment"", ""Hold altitude, reduce speed to conserve energy and adjust heading"", ""Turn east to intercept second UAV for coordinated search"", ""Enter spiral descent to evade obstacle, prioritizing collision avoidance"", ""Accelerate westward to exit wind shear zone quickly"", ""Maintain current path, relying on autopilot through communication loss""]","Holding 110 m balances aerodynamic stability in shifting winds and sensor effectiveness. Reducing speed improves control in gusts and conserves energy, while heading adjustment maintains corridor compliance and separation. Other options risk communication, energy, or collision due to interacting wind, navigation, and coordination constraints." 2025-11-01T17:57:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Search_in_Suburban_Airspace_with_Microburst_Risk_3387821f3889_mcq.json,uavbench-mcq-v1,Forest_Search_in_Suburban_Airspace_with_Microburst_Risk,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which UAV configuration best balances endurance, sensor suite, and wind resistance for a 600-second search in 8 m/s winds with gusts?","This is a search and rescue mission conducted in suburban airspace near a forested area. The UAV operates within an altitude range of 10 to 120 meters above ground level. Weather conditions include strong winds at 8 m/s from 240 degrees, with gusts up to 4.5 m/s and a risk of microbursts. A hexacopter UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors is used for the mission. The UAV must avoid two no-fly zones: one static cylinder near the center and another moving cylinder drifting southwest. Air traffic includes a single intruder UAV flying on a diagonal path through the area. The mission follows a spiral search pattern across five waypoints, with limited time of 600 seconds. Communication links experience two brief downlink loss windows during the flight. The UAV must maintain separation of at least 25 meters from other traffic and manage battery reserves carefully. GNSS signal multipath may occur due to nearby structures, and the vehicle must remain within the defined geofenced polygon.","Quadcopter with RGB and thermal, 500s max flight time, no LiDAR","Hexacopter with RGB, thermal, LiDAR, 650s endurance, full sensors","Fixed-wing with RGB only, 900s endurance, GPS-dependent","Octocopter with thermal camera, 550s flight time, high power draw","Quadcopter with LiDAR and thermal, 480s endurance, moderate wind tolerance","VTOL with RGB and thermal, 620s endurance, limited obstacle avoidance","Hexacopter with RGB, thermal, 600s flight time, no LiDAR, reduced sensors","[""Quadcopter with RGB and thermal, 500s max flight time, no LiDAR"", ""Hexacopter with RGB, thermal, LiDAR, 650s endurance, full sensors"", ""Fixed-wing with RGB only, 900s endurance, GPS-dependent"", ""Octocopter with thermal camera, 550s flight time, high power draw"", ""Quadcopter with LiDAR and thermal, 480s endurance, moderate wind tolerance"", ""VTOL with RGB and thermal, 620s endurance, limited obstacle avoidance"", ""Hexacopter with RGB, thermal, 600s flight time, no LiDAR, reduced sensors""]","The hexacopter with full sensors, LiDAR, and 650s endurance exceeds mission duration while handling 8 m/s winds and microburst risks. It supports reliable navigation despite GNSS multipath and ensures detection in forested and suburban terrain. Other options lack sensor fusion, have insufficient margin, or reduced fault tolerance." 2025-11-01T17:57:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Search_in_Volcanic_Zone_with_Fixed-Wing_UAV_6b5032f363d5_mcq.json,uavbench-mcq-v1,Forest_Search_in_Volcanic_Zone_with_Fixed-Wing_UAV,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 400s, icing reduces lift while GNSS jamming occurs at 15 m/s wind. Which action maintains navigation and control?","Fixed-wing UAV conducts search and rescue in a volcanic forest zone with hazardous weather. The mission operates within a defined polygonal airspace, bounded between 50 and 300 meters AGL. Weather includes strong winds up to 15 m/s, increasing with altitude, and hazards like hail and lightning risk. The UAV is equipped with RGB and thermal cameras for payload, relying on GNSS/IMU navigation. GNSS multipath and electromagnetic interference degrade navigation accuracy, with a jamming event occurring mid-mission. A static no-fly zone blocks part of the search area, while a moving no-fly zone and dynamic obstacle add complexity. Another UAV and a drifting spherical obstacle require separation assurance using DAA thresholds. Thermal updrafts near coordinates (800,600) and (1200,900) offer potential lift but complicate control. Icing conditions occur at 400 seconds, reducing aerodynamic performance for one minute. The UAV must complete its corridor search pattern and return to the designated runway within 600 seconds.",Increase altitude to use thermal updrafts for lift compensation,Rely solely on IMU dead reckoning with fixed drift correction,Engage optical flow from RGB to correct IMU drift during GNSS loss,Descend below 50m AGL to avoid wind and icing effects,Trust GNSS despite multipath; override anti-jamming protocol,Use thermal camera to map terrain for position referencing,Maintain heading using magnetometer despite EMI interference,"[""Increase altitude to use thermal updrafts for lift compensation"", ""Rely solely on IMU dead reckoning with fixed drift correction"", ""Engage optical flow from RGB to correct IMU drift during GNSS loss"", ""Descend below 50m AGL to avoid wind and icing effects"", ""Trust GNSS despite multipath; override anti-jamming protocol"", ""Use thermal camera to map terrain for position referencing"", ""Maintain heading using magnetometer despite EMI interference""]","GNSS jamming and IMU drift require visual-inertial fusion to maintain accuracy. RGB optical flow provides high-rate relative motion data, correcting IMU bias during GPS denial. This leverages available sensors while mitigating environmental degradation from EMI and icing." 2025-11-01T17:57:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Search_in_Underground_Mine_with_Snowfall_30f0bde47571_mcq.json,uavbench-mcq-v1,Forest_Search_in_Underground_Mine_with_Snowfall,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Which path navigates 5 waypoints in 10 minutes, avoids a (50,40) NFZ with 10m radius, and returns to (10,10,0) with 30% battery reserve?","This is a search and rescue mission conducted by a hexacopter UAV inside an underground mine. The airspace is confined within a 100x80 meter polygon with a maximum altitude of 50 meters AGL. Snowfall and poor visibility create challenging environmental conditions, despite the indoor setting. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors including GNSS, though GNSS signals may suffer from multipath due to the mine structure. A cylindrical no-fly zone with a 10-meter radius is centered at (50, 40), restricting flight paths. The mission requires navigating a corridor pattern through five waypoints within a 10-minute time limit. A second UAV and a moving spherical obstacle introduce dynamic traffic risks, requiring separation of at least 10 meters and a time-to-collision threshold of 5 seconds. Communication experiences intermittent uplink loss during two time windows, limiting remote control input. The UAV must return to a preferred landing site at (10, 10, 0), with an emergency option at (90, 70, 0). Battery endurance is critical, with a reserve fraction of 30% and limited energy capacity constraining operational time.","Fly direct between waypoints at 45m AGL, ignore thermal alerts","Reroute east of NFZ, reduce speed to 3 m/s near obstacle","Descend to 20m AGL to improve GNSS lock, bypass NFZ west","Climb to 50m AGL for better comms, cut through NFZ edge","Follow corridor pattern at 35m, delay W3 by 90 seconds","Bank sharply at 45° to skip W4, head straight to W5","Maintain 30m AGL, use LiDAR to deviate 12m around moving obstacle","[""Fly direct between waypoints at 45m AGL, ignore thermal alerts"", ""Reroute east of NFZ, reduce speed to 3 m/s near obstacle"", ""Descend to 20m AGL to improve GNSS lock, bypass NFZ west"", ""Climb to 50m AGL for better comms, cut through NFZ edge"", ""Follow corridor pattern at 35m, delay W3 by 90 seconds"", ""Bank sharply at 45° to skip W4, head straight to W5"", ""Maintain 30m AGL, use LiDAR to deviate 12m around moving obstacle""]","G maintains safe separation from the moving obstacle using sensor data, adheres to altitude and NFZ constraints, and follows the required corridor pattern efficiently. It balances battery use and time by avoiding unnecessary climbs or delays while ensuring obstacle avoidance. Other options violate NFZ, skip waypoints, or increase risk due to poor visibility or signal loss." 2025-11-01T17:57:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Search_with_Amphibious_UAV_under_Lightning_Risk_ce06b75523dc_mcq.json,uavbench-mcq-v1,Forest_Search_with_Amphibious_UAV_under_Lightning_Risk,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 190s, with 30% battery, GNSS fails. Wind is 7.5 m/s from 240°. What action ensures separation and landing within 600s?","This is a search and rescue mission conducted in rural airspace using an amphibious fixed-wing UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The UAV operates within a defined rectangular geofenced area between 5 and 120 meters AGL, avoiding two no-fly zones—one static and one moving. Weather includes a moderate 7.5 m/s wind from 240 degrees with gusts and a risk of lightning, requiring careful energy and route management. The UAV has a 450 Wh battery with a 30% reserve requirement, limiting available flight time to under 10 minutes. Key constraints include maintaining separation of at least 25 meters from other air traffic and responding to a planned GNSS jamming fault lasting 30 seconds. The mission involves following a corridor search pattern across five waypoints, avoiding a moving spherical obstacle and dynamic no-fly zone. Communication experiences a brief uplink/downlink loss window between 180 and 210 seconds. The UAV must complete its task within a 600-second time budget while respecting terrain and airspace boundaries. Launch occurs near the edge of the zone, with preferred and emergency landing sites designated. Success depends on avoiding collisions, maintaining DAA compliance, and landing safely with sufficient battery.","Climb to 120m AGL, divert to emergency landing","Maintain altitude, continue search pattern","Descend to 5m AGL, fly direct to preferred landing",Hold position at 60m AGL until GNSS resumes,"Turn 90° right, descend to 25m AGL, route to emergency site","Accelerate to 20m/s, return via moving NFZ edge",Execute pre-planned dead reckoning leg toward landing,"[""Climb to 120m AGL, divert to emergency landing"", ""Maintain altitude, continue search pattern"", ""Descend to 5m AGL, fly direct to preferred landing"", ""Hold position at 60m AGL until GNSS resumes"", ""Turn 90° right, descend to 25m AGL, route to emergency site"", ""Accelerate to 20m/s, return via moving NFZ edge"", ""Execute pre-planned dead reckoning leg toward landing""]","GNSS jamming requires reliance on navigation sensors for 30s; G uses planned fault response without violating AGL limits. It preserves energy, avoids NFZs, and maintains separation, unlike riskier climbs, low-altitude maneuvers, or holds that waste time or increase exposure." 2025-11-01T17:57:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Search_with_Convertiplane_in_Offshore_Fog_cdd36240c966_mcq.json,uavbench-mcq-v1,Forest_Search_with_Convertiplane_in_Offshore_Fog,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"During an offshore search with icing at 60m AGL and 1-minute performance loss, visibility <500m, how should the UAV prioritize actions?","This is a search and rescue mission conducted offshore near a platform using a convertiplane UAV. The UAV operates in poor visibility due to fog and faces icing conditions during flight. Equipped with thermal and RGB cameras, radar, and LiDAR, it searches within a defined corridor pattern between 10 and 120 meters AGL. The environment includes dynamic no-fly zones and a stationary NFZ around the platform center. GNSS signals are degraded by multipath and moderate jamming, while electromagnetic interference affects sensor performance. The UAV must maintain separation from other traffic and a moving obstacle near waypoint areas. Wind increases with altitude, shifting direction and creating turbulence, especially during transitions between hover and forward flight. An icing event occurs mid-mission, reducing performance for one minute. The UAV must return to land on a designated runway, constrained by time and battery reserve requirements. Communication experiences brief dropouts, requiring resilient data handling and navigation autonomy.",Continue search to maximize survivor detection time,Descend to 10m AGL to avoid wind shear and icing,Abort mission and return via shortest safe route,Climb to 120m for clearer GNSS and radar coverage,Enter stationary NFZ to use platform for reference,Fly toward dynamic no-fly zone to confirm obstacle type,Hover at current position until comms stabilize,"[""Continue search to maximize survivor detection time"", ""Descend to 10m AGL to avoid wind shear and icing"", ""Abort mission and return via shortest safe route"", ""Climb to 120m for clearer GNSS and radar coverage"", ""Enter stationary NFZ to use platform for reference"", ""Fly toward dynamic no-fly zone to confirm obstacle type"", ""Hover at current position until comms stabilize""]",Human safety and flight integrity must override mission continuation during performance degradation. Continuing in icing with sensor and navigation degradation risks loss of control near obstacles. C ensures safe return within battery reserves while avoiding escalating risk. 2025-11-01T17:57:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Search_with_High_Altitude_Pseudo-Satellite_in_Cold_Warehouse_Indoor_daea4a052045_mcq.json,uavbench-mcq-v1,Forest_Search_with_High_Altitude_Pseudo-Satellite_in_Cold_Warehouse_Indoor,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 60m altitude limit, thermal updrafts near NW corner, and icing reducing battery efficiency by 15%, which action maximizes search coverage and safe return?","Mission involves a search and rescue operation using a high altitude pseudo-satellite UAV in an indoor warehouse environment. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors including GNSS, IMU, and barometer. Operations take place within a confined 100m x 80m geofenced airspace with altitude limits between 5m and 60m AGL. A static no-fly zone is present at the center, and a dynamic no-fly zone moves slowly through the area. The indoor environment features icing conditions, GNSS multipath, electromagnetic interference, and moderate wind with gusts. Thermal updrafts are present near one corner, potentially affecting flight stability. The UAV must follow a corridor search pattern across four waypoints while avoiding collisions with a moving obstacle and another UAV. A runway is required for operations, and the UAV must manage transitions between VTOL and forward flight. Communication experiences brief uplink/downlink losses, and an icing fault occurs mid-mission, impacting performance. Battery endurance and separation from traffic are critical constraints, with strict DAA thresholds for safety.",Climb to 60m for full LiDAR sweep despite higher power draw,Fly longest diagonal first to finish search early,"Use thermal updraft to gain altitude, reducing motor load","Disable LiDAR, rely on RGB to save power","Increase speed to cover waypoints faster, ignoring gusts","Hover at each waypoint, ensuring complete thermal scan","Descend to 10m, minimizing wind and icing exposure","[""Climb to 60m for full LiDAR sweep despite higher power draw"", ""Fly longest diagonal first to finish search early"", ""Use thermal updraft to gain altitude, reducing motor load"", ""Disable LiDAR, rely on RGB to save power"", ""Increase speed to cover waypoints faster, ignoring gusts"", ""Hover at each waypoint, ensuring complete thermal scan"", ""Descend to 10m, minimizing wind and icing exposure""]","Utilizing thermal updrafts reduces propulsion energy needs, preserving battery under icing-induced 15% loss. This extends endurance while maintaining sensor coverage. Other options either increase power use or sacrifice mission-critical data, risking return." 2025-11-01T17:57:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Search_with_Solar_Wing_UAV_at_Airport_Perimeter_ca9740431727_mcq.json,uavbench-mcq-v1,Forest_Search_with_Solar_Wing_UAV_at_Airport_Perimeter,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"Given GNSS jamming at -95 dBm and comms dropouts at 120–135s, how should the UAV maintain position integrity?","This is a search and rescue mission conducted near an airport perimeter using a solar-powered fixed-wing UAV. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates within a defined corridor between 30 and 300 meters AGL, avoiding static and moving no-fly zones, including a dynamic obstacle drifting westward. The environment features moderate winds increasing with altitude, shifting from 240° at ground level to 270° aloft, with gusts up to 3.2 m/s. GNSS signals are degraded due to multipath effects and mild jamming at -95 dBm, requiring careful navigation. A thermal updraft is present near the eastern edge of the area, which the UAV may exploit for lift. The mission requires compliance with runway operations and includes a time budget of 600 seconds. Communications experience brief dropouts between 120–135 and 450–460 seconds, with minimum RSSI at -88 dBm. The UAV must maintain at least 50 meters separation from traffic and obstacles, with DAA thresholds set for safety monitoring.",Rely solely on GNSS with carrier-phase smoothing,Switch to LiDAR-aided INS during jamming,Use unencrypted telemetry for faster updates,Increase control loop frequency to 200 Hz,Trust GPS with no cross-validation,Disable DAA to reduce processing load,Transmit all data using WPA2 encryption,"[""Rely solely on GNSS with carrier-phase smoothing"", ""Switch to LiDAR-aided INS during jamming"", ""Use unencrypted telemetry for faster updates"", ""Increase control loop frequency to 200 Hz"", ""Trust GPS with no cross-validation"", ""Disable DAA to reduce processing load"", ""Transmit all data using WPA2 encryption""]",LiDAR-aided inertial navigation provides resilient position estimation when GNSS is compromised by jamming. It maintains control stability and data integrity without relying on vulnerable signals. This layered approach ensures mission continuity during communication dropouts and jamming events. 2025-11-01T17:57:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Search_with_Solar_Wing_UAV_in_Warehouse_Indoor_under_Fog_6c24cd237d51_mcq.json,uavbench-mcq-v1,Forest_Search_with_Solar_Wing_UAV_in_Warehouse_Indoor_under_Fog,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"At 125 seconds, UAV must avoid a moving obstacle near the no-fly zone with 3 m/s wind and 5 m separation required.","Search and rescue mission using a solar wing UAV inside a warehouse. Flight occurs in an indoor airspace with a maximum altitude of 15 meters AGL. Weather includes poor visibility due to fog and a 3 m/s wind from the south. The UAV is equipped with RGB camera, LiDAR, GNSS, IMU, barometer, and magnetometer. A no-fly zone is enforced as a cylinder near the center of the warehouse. The UAV must avoid a moving spherical obstacle oscillating along the Y-axis. Separation from other traffic must be maintained at a minimum of 5 meters. GNSS signals may suffer multipath effects due to the indoor environment. The mission must be completed within 600 seconds and requires runway use for landing. Communication experiences a brief downlink loss between 120 and 130 seconds.",Climb to 14 m AGL and proceed north to avoid the obstacle,"Descend to 10 m AGL, then divert west around the no-fly cylinder",Hold position at 12 m AGL until the obstacle clears the path,Accelerate through the obstacle zone to minimize exposure time,Fly east at 15 m AGL to bypass the obstacle and maintain altitude,Turn south immediately to escape the wind-affected area,Land immediately using runway despite downlink loss,"[""Climb to 14 m AGL and proceed north to avoid the obstacle"", ""Descend to 10 m AGL, then divert west around the no-fly cylinder"", ""Hold position at 12 m AGL until the obstacle clears the path"", ""Accelerate through the obstacle zone to minimize exposure time"", ""Fly east at 15 m AGL to bypass the obstacle and maintain altitude"", ""Turn south immediately to escape the wind-affected area"", ""Land immediately using runway despite downlink loss""]","Option B maintains safe separation from the moving obstacle and avoids the no-fly zone while staying within the 15 m AGL ceiling. Descending to 10 m reduces risk from wind effects and conserves energy, and the westward path avoids multipath-prone central structures. Other options violate separation, exceed altitude limits, or ignore communication and landing requirements." 2025-11-01T17:57:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Search_with_Strong_Crosswind_d91d6079177c_mcq.json,uavbench-mcq-v1,Forest_Search_with_Strong_Crosswind,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"With 8.5 m/s crosswind and 30% battery reserve, which action optimizes search completion within 600 seconds?","This is a search and rescue mission conducted in a forested area using a quadrotor UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The UAV operates within a defined airspace from 10 to 120 meters AGL, bounded by a rectangular geofence. A strong crosswind of 8.5 m/s from 240 degrees, with gusts up to 4 m/s, challenges flight stability and energy consumption. The mission follows a corridor search pattern across five waypoints at 40–50 meters altitude, with a time budget of 600 seconds. A static no-fly zone (NFZ) is present near the center of the area, and a dynamic NFZ moves through the airspace, requiring real-time avoidance. A second UAV and a moving spherical obstacle add complexity, necessitating separation assurance with a 25-meter threshold. GNSS multipath effects may occur due to the forest environment, impacting positioning accuracy near trees and obstacles. The UAV must manage battery reserves carefully, with a 30% reserve required and brief communication outages expected at specific intervals. Landing is planned at the starting point, with an emergency site available, and mission success depends on completing the search while avoiding collisions and airspace violations.",Increase speed to reach waypoints faster,Descend to 30 meters to reduce wind impact,Disable LiDAR to save power and extend flight,Climb to 100 meters for clearer GNSS signal,Hover at each waypoint for full thermal scan,Skip waypoint 3 to conserve energy,Transmit all data in real-time at high bandwidth,"[""Increase speed to reach waypoints faster"", ""Descend to 30 meters to reduce wind impact"", ""Disable LiDAR to save power and extend flight"", ""Climb to 100 meters for clearer GNSS signal"", ""Hover at each waypoint for full thermal scan"", ""Skip waypoint 3 to conserve energy"", ""Transmit all data in real-time at high bandwidth""]","Disabling LiDAR reduces power draw, preserving battery for longer flight under strong winds. This balances sensor utility and energy efficiency, ensuring mission completion within time and reserve limits. Other options either increase consumption or compromise coverage." 2025-11-01T17:57:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Search_with_Swarm_Drones_in_Snowfall_at_Industrial_Plant_c7e797a0fb94_mcq.json,uavbench-mcq-v1,Forest_Search_with_Swarm_Drones_in_Snowfall_at_Industrial_Plant,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"With 9 m/s winds, snowfall, and 10-minute endurance, how should a drone react to a communication loss at 110 m AGL near the geofenced zone?","A swarm of four battery-powered drones conducts a forest search and rescue mission near an industrial plant. The airspace is restricted with a geofenced area and a static no-fly zone around a central structure. Dynamic no-fly zones and moving obstacles add complexity to navigation. Strong winds up to 9 m/s and snowfall reduce visibility and increase flight challenges. Each drone is equipped with RGB and thermal cameras, LiDAR, and standard sensors, but faces GNSS signal degradation due to multipath and intentional jamming. The swarm must maintain minimum separation of 15 meters while operating between 5 and 120 meters AGL. A communication signal loss occurs twice during the mission, limiting uplink and downlink reliability. The drones follow a grid search pattern while avoiding a conflicting UAV and thermal updrafts from plant infrastructure. Battery endurance is critical, with a 10-minute time budget and reserve power set at 30%.",Descend to 45 m AGL and continue grid search,Climb to 125 m AGL for better GNSS reception,Enter dynamic no-fly zone to shorten search path,Fly direct at 120 m AGL to next waypoint,Reduce speed to conserve battery below 30%,Land immediately at current location,"Ascend to 120 m, then divert upwind around geofence","[""Descend to 45 m AGL and continue grid search"", ""Climb to 125 m AGL for better GNSS reception"", ""Enter dynamic no-fly zone to shorten search path"", ""Fly direct at 120 m AGL to next waypoint"", ""Reduce speed to conserve battery below 30%"", ""Land immediately at current location"", ""Ascend to 120 m, then divert upwind around geofence""]","Descending to 45 m AGL reduces wind exposure and maintains operation within the 5–120 m AGL band while conserving energy. It avoids NFZs and preserves separation, unlike climbing or diverting near restricted zones. Continuing the search balances mission objectives with safety, whereas landing or deviating into restricted areas increases risk or violates constraints." 2025-11-01T17:57:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Snowfall_Recon_with_Convertiplane_1a4521623819_mcq.json,uavbench-mcq-v1,Forest_Snowfall_Recon_with_Convertiplane,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 90 m AGL, winds reach 12 m/s while a 30-second downlink outage begins; how should the convertiplane adjust for coordination with UAV2 and obstacle avoidance?","A convertiplane UAV conducts a fixed-wing area reconnaissance mission in a forested region under snowfall with poor visibility. The flight occurs between 20 and 150 meters AGL within a defined polygonal geofence. Moderate winds increase with altitude, reaching 12 m/s at 100 m, and a dynamic no-fly zone moves southwest at 2.8 m/s. The UAV is equipped with RGB and thermal cameras, LIDAR, and standard navigation sensors, but faces GNSS signal degradation due to multipath and interference. A second UAV and a moving spherical obstacle create collision risks requiring strict separation. The mission includes a grid pattern survey with transitions between vertical and forward flight, requiring a runway for landing. An icing event occurs mid-mission, increasing drag and reducing performance for one minute. Communication experiences a 30-second downlink outage, and electromagnetic interference affects sensor reliability. The UAV must avoid two static no-fly zones while managing battery reserves and wind effects throughout the 15-minute flight.",Descend to 20 m AGL to reduce wind exposure and conserve battery,Maintain altitude and speed to preserve survey grid timing alignment,Ascend to 150 m to escape wind shear and improve GNSS reception,Halt survey and hover at reduced power to await communication restore,Shift to thermal-only mode and reduce speed by 25% for obstacle detection,Broadcast emergency beacon and initiate return-to-runway maneuver,Adjust track early to avoid moving no-fly zone and sync heading with UAV2,"[""Descend to 20 m AGL to reduce wind exposure and conserve battery"", ""Maintain altitude and speed to preserve survey grid timing alignment"", ""Ascend to 150 m to escape wind shear and improve GNSS reception"", ""Halt survey and hover at reduced power to await communication restore"", ""Shift to thermal-only mode and reduce speed by 25% for obstacle detection"", ""Broadcast emergency beacon and initiate return-to-runway maneuver"", ""Adjust track early to avoid moving no-fly zone and sync heading with UAV2""]","The moving no-fly zone drifts at 2.8 m/s southwest, requiring proactive path adjustment. Coordinating heading with UAV2 ensures deconflicted routing under communication latency. This preserves mission timing, avoids collisions, and maintains coverage without violating geofence or energy constraints." 2025-11-01T17:57:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Touch-and-Go_with_Microburst_Risk_e78c25a6df7b_mcq.json,uavbench-mcq-v1,Forest_Touch-and-Go_with_Microburst_Risk,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 55m altitude, 8 m/s winds, and GNSS dropouts, how should the UAV adjust navigation near the no-fly zone?","This mission involves a quadrotor UAV performing a touch-and-go maneuver in a forested area. The UAV operates within a defined airspace polygon with a maximum altitude of 120 meters AGL and a minimum of 10 meters. A cylindrical no-fly zone is located near the center of the area, extending from 10 to 60 meters in altitude. The UAV is equipped with a camera payload and relies on GNSS, IMU, and other standard sensors for navigation. Weather conditions include strong 8 m/s winds from the west, gusts up to 4.5 m/s, and a risk of microbursts. The flight must avoid a moving spherical obstacle drifting westward at 2 m/s. A second UAV is present in the airspace, approaching from outside the operational zone. Communication links experience brief loss windows, requiring resilient control. The UAV must maintain separation of at least 25 meters from traffic with a 10-second time-to-closest-approach threshold. Battery capacity and energy consumption are critical constraints due to wind and maneuvering demands.",Rely solely on GNSS with IMU drift compensation,Switch to pure visual odometry ignoring wind,Use IMU-camera fusion with motion smoothing,Descend immediately to 10m for stability,Hold position using barometer-only altitude hold,Increase GNSS update weight during gusts,Engage hover mode with magnetometer heading,"[""Rely solely on GNSS with IMU drift compensation"", ""Switch to pure visual odometry ignoring wind"", ""Use IMU-camera fusion with motion smoothing"", ""Descend immediately to 10m for stability"", ""Hold position using barometer-only altitude hold"", ""Increase GNSS update weight during gusts"", ""Engage hover mode with magnetometer heading""]",IMU-camera fusion compensates for GNSS dropouts and wind disturbances by leveraging visual-inertial odometry. It maintains pose accuracy without relying on error-prone barometric or magnetic data. This method adapts to environmental degradation while preserving energy and spatial awareness. 2025-11-01T17:57:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/GliderThermalSoaring_ForestHexacopter_711b1f3c0f01_mcq.json,uavbench-mcq-v1,GliderThermalSoaring_ForestHexacopter,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"Hexacopter must survey forested area under 6 m/s wind, thermal updrafts, and avoid moving obstacles within 600 s, 30% battery reserve.","This is a survey mission conducted by a hexacopter UAV in a forested airspace. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates under moderate wind conditions of 6 m/s from 135 degrees, with gusts up to 3 m/s and good visibility. Thermal updrafts are present at two locations, which can be leveraged for energy-efficient flight. The flight envelope is confined between 10 m and 150 m AGL within a defined polygonal geofence. A static no-fly zone and a moving no-fly cylinder create dynamic airspace constraints. GNSS signals are affected by multipath and moderate jamming at -95 dBm, impacting positioning accuracy. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV on a collision course. Battery endurance is critical, with a 30% reserve required and communication dropouts scheduled at specific times. The mission must be completed within 600 seconds, returning to the preferred landing site near the start point.",Fly lowest altitude to maximize image resolution,Climb to 150 m to escape wind turbulence,Route through thermal updrafts to save energy,Prioritize direct path ignoring dynamic no-fly zones,Descend below 10 m AGL during GNSS dropouts,Match speed with other UAV to avoid collision,Adjust heading to 315° to counteract 135° wind,"[""Fly lowest altitude to maximize image resolution"", ""Climb to 150 m to escape wind turbulence"", ""Route through thermal updrafts to save energy"", ""Prioritize direct path ignoring dynamic no-fly zones"", ""Descend below 10 m AGL during GNSS dropouts"", ""Match speed with other UAV to avoid collision"", ""Adjust heading to 315° to counteract 135° wind""]","Routing through thermal updrafts leverages natural lift to reduce power consumption, preserving battery for mission duration and reserve. It maintains safe separation, stays within the flight envelope, and compensates for GNSS inaccuracies by reducing reliance on thrust-intensive stabilization. Other options violate altitude limits, increase energy use, or compromise safety and coordination." 2025-11-01T17:57:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/GPS_Spoofing_in_Underground_Mine_Glider_Scenario_e027bb2fe36d_mcq.json,uavbench-mcq-v1,GPS_Spoofing_in_Underground_Mine_Glider_Scenario,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 25m AGL in poor visibility with GNSS spoofing and icing, which navigation strategy maintains position integrity?","This mission involves a glider-type UAV conducting an inspection in an underground mine. The confined airspace restricts flight between 2 and 30 meters AGL within a defined polygonal boundary. Poor visibility and icing conditions are present, with moderate wind from the south and additional gusts. The UAV is equipped with GNSS, IMU, magnetometer, barometer, LiDAR, and RGB camera for navigation and data collection. A critical constraint is a cylindrical no-fly zone in the center of the area, requiring careful path planning. GNSS spoofing occurs mid-mission, degrading positioning accuracy, compounded by electromagnetic interference and periodic comms uplink loss. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV flying through the space. Battery endurance is limited, and icing buildup later in the mission increases drag and reduces performance. The scenario tests resilience to sensor faults, environmental hazards, and autonomous decision-making under degraded conditions.",Rely solely on GNSS with Kalman filter smoothing,Use magnetometer heading fused with barometric altitude,Switch to LiDAR-inertial odometry with visual feature tracking,Trust IMU dead reckoning with zero wind compensation,Follow GPS waypoints ignoring spoofing alerts,Descend to 2m using barometer-only altitude control,Navigate via RGB camera with no LiDAR cross-verification,"[""Rely solely on GNSS with Kalman filter smoothing"", ""Use magnetometer heading fused with barometric altitude"", ""Switch to LiDAR-inertial odometry with visual feature tracking"", ""Trust IMU dead reckoning with zero wind compensation"", ""Follow GPS waypoints ignoring spoofing alerts"", ""Descend to 2m using barometer-only altitude control"", ""Navigate via RGB camera with no LiDAR cross-verification""]","LiDAR-inertial odometry provides drift-resistant localization despite GNSS spoofing and magnetic interference. Visual feature tracking compensates for poor visibility by fusing with LiDAR, maintaining spatial consistency. This fusion ensures robustness against icing-induced drag and communication latency." 2025-11-01T17:57:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/GliderThermalSoaring_Swarm_PowerlineInspection_5963a8d61ce0_mcq.json,uavbench-mcq-v1,GliderThermalSoaring_Swarm_PowerlineInspection,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"With 4 UAVs, 25m separation, and thermal updrafts, which strategy maximizes inspection time within battery limits?","This mission involves a swarm of four battery-powered UAVs conducting a powerline corridor inspection. The operation takes place in a defined rectangular airspace with a central static no-fly zone and a moving no-fly cylinder. UAVs must navigate between waypoints at low altitudes while avoiding obstacles and maintaining separation. The drones are fixed-wing hybrid VTOL types equipped with RGB and thermal cameras for inspection tasks. Environmental conditions include moderate winds increasing with altitude and active thermal updrafts that can aid gliding. There are no GNSS multipath issues but electromagnetic interference and periodic communication losses occur. The swarm must adhere to a minimum inter-drone separation of 25 meters and avoid both static and dynamic obstacles. A cooperating traffic UAV crosses the corridor, requiring detect-and-avoid compliance with a 50-meter separation threshold. Mission success depends on completing the inspection within the time limit while preserving battery and avoiding breaches.",Fly at highest altitude to use strong winds for speed,Activate all cameras continuously for full data capture,Circle in thermal updrafts to extend loiter without power,Increase speed to finish early and conserve battery,Transmit all thermal data in real-time via high-bandwidth link,Climb frequently to regain energy from updrafts intermittently,"Maintain level flight at low altitude, avoiding updrafts entirely","[""Fly at highest altitude to use strong winds for speed"", ""Activate all cameras continuously for full data capture"", ""Circle in thermal updrafts to extend loiter without power"", ""Increase speed to finish early and conserve battery"", ""Transmit all thermal data in real-time via high-bandwidth link"", ""Climb frequently to regain energy from updrafts intermittently"", ""Maintain level flight at low altitude, avoiding updrafts entirely""]","Soaring in thermal updrafts allows energy-neutral loitering, preserving battery for critical maneuvers. This maximizes inspection time without increasing power draw or communication load. Other options waste energy through inefficient altitude changes, excessive speeds, or high-power payload use." 2025-11-01T17:57:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/GliderWaypointSurvey_DenseUrban_Crosswind_dd0c4fab5116_mcq.json,uavbench-mcq-v1,GliderWaypointSurvey_DenseUrban_Crosswind,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"Glider UAV faces 8.5–11.5 m/s crosswinds at 20–120 m AGL, GNSS degradation, and 600-second survey. Optimal path?","This scenario involves a glider-type UAV conducting a waypoint survey mission in dense urban airspace. The UAV is equipped with a battery-powered electric propulsion system and carries a payload with RGB camera and LiDAR sensors. It operates under crosswind conditions of 8.5 m/s from 240°, increasing with altitude up to 11.5 m/s, and experiences moderate gusts of 4.2 m/s. The flight occurs between 20 and 120 meters AGL within a defined polygonal geofence, avoiding two no-fly zones—one static and one moving—while navigating near a runway threshold. GNSS signals are degraded due to multipath effects and electromagnetic interference, with occasional comms loss during two brief time windows. The UAV must maintain separation from static and dynamic obstacles, including a moving sphere and another traffic UAV flying across its path. Thermal updrafts are present near the center of the area, potentially aiding lift but complicating control. The mission requires completing a grid survey pattern across five waypoints within a 600-second time limit, starting from a designated spawn point and aiming for a preferred landing site. Constraints include battery reserve requirements, risk of stall in turbulent wind, and maintaining safe separation thresholds against nearby air traffic.",Climb to 120 m for stronger thermal lift and clearer GNSS signals,Fly direct low-altitude paths at 25 m to minimize wind exposure,Delay launch until thermal updrafts stabilize flight dynamics,Use battery boost to maintain airspeed in gusts at 40 m,Reroute survey order to align with wind direction and save energy,Hover at each waypoint to ensure sensor data accuracy,Descend below 20 m near obstacles to avoid moving no-fly zone,"[""Climb to 120 m for stronger thermal lift and clearer GNSS signals"", ""Fly direct low-altitude paths at 25 m to minimize wind exposure"", ""Delay launch until thermal updrafts stabilize flight dynamics"", ""Use battery boost to maintain airspeed in gusts at 40 m"", ""Reroute survey order to align with wind direction and save energy"", ""Hover at each waypoint to ensure sensor data accuracy"", ""Descend below 20 m near obstacles to avoid moving no-fly zone""]","E balances aerodynamics and energy by leveraging wind alignment to reduce thrust needs while maintaining safe separation and navigation accuracy. It avoids high-altitude gusts and GNSS issues, preserves battery, and meets time constraints. Other options violate altitude limits, increase energy use, or risk control in turbulence." 2025-11-01T17:57:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Convoy_Escort_in_Sandstorm_35e408a0ec9c_mcq.json,uavbench-mcq-v1,Glider_Convoy_Escort_in_Sandstorm,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 510s, glider is 40m from dynamic obstacle drifting west at 2 m/s. Wind: 8.5 m/s. Battery: 32%. What immediate action ensures safety and mission integrity?","This is a convoy escort mission conducted by a fixed-wing glider in suburban airspace. The glider operates under poor visibility caused by an active sandstorm, with strong winds at 8.5 m/s from 240 degrees and gusts up to 4.5 m/s. The UAV is battery-powered, equipped with radar and an RGB camera for payload, and must navigate within an altitude range of 30 to 150 meters AGL. A cylindrical no-fly zone centered at (150, 100) with a 20-meter radius restricts flight path options. The mission requires maintaining separation from a moving traffic UAV and a dynamic spherical obstacle drifting westward at 2 m/s. GNSS signals may suffer from multipath effects due to the suburban environment, and visual navigation is hampered by sandstorm conditions. The flight must conclude within a 600-second time budget and requires use of a designated runway for landing. Waypoints are arranged in a corridor pattern, starting near the spawn point and progressing eastward toward the landing threshold. Battery reserve is set at 30%, and energy consumption is influenced by drag and maneuvering in turbulent conditions. Success depends on avoiding collisions, respecting geofences, and completing the escort without breaching separation thresholds.",Climb to 160m to avoid obstacle and turbulence,Descend to 25m AGL for better GNSS reception,Maintain current altitude and adjust heading east,Abort mission and divert to alternate landing zone,Accelerate to bypass obstacle before impact,Reduce speed to conserve battery below 30% reserve,Turn north to reroute outside no-fly zone radius,"[""Climb to 160m to avoid obstacle and turbulence"", ""Descend to 25m AGL for better GNSS reception"", ""Maintain current altitude and adjust heading east"", ""Abort mission and divert to alternate landing zone"", ""Accelerate to bypass obstacle before impact"", ""Reduce speed to conserve battery below 30% reserve"", ""Turn north to reroute outside no-fly zone radius""]","Maintaining altitude within 30–150m AGL complies with operational limits and avoids geofence violations. Adjusting heading east respects separation from the drifting obstacle and traffic UAV without aborting the mission prematurely. This balances safety, legality, and mission continuity under uncertain navigation conditions." 2025-11-01T17:57:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_BVLOS_Offshore_Sandstorm_Test_62b963cfd56c_mcq.json,uavbench-mcq-v1,Glider_BVLOS_Offshore_Sandstorm_Test,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"At 210 s, wind shear increases and GNSS jamming starts; glider is at 180 m AGL, 14 m/s headwind. What action balances energy, navigation, and separation?","This is a BVLOS glider mission for offshore platform inspection in poor visibility with an active sandstorm. The flight occurs in controlled offshore airspace with a maximum altitude of 300 m AGL and a minimum of 30 m. Winds are strong, increasing from 12 m/s at sea level to 18 m/s at 200 m, with gusts up to 6 m/s and shifting direction. The UAV is a fixed-wing glider weighing 5.2 kg with a 0.8 kg payload, equipped with radar, RGB camera, and standard navigation sensors. It operates on battery power with a 320 Wh capacity and a 30% reserve requirement. Notable constraints include a static no-fly zone around a central platform and a moving no-fly zone drifting at 2.5 m/s. GNSS multipath and electromagnetic interference are present, with a simulated GNSS jamming event lasting 45 seconds starting at 180 seconds. Communication suffers from two uplink loss windows, reducing command reliability. The mission requires maintaining separation of at least 50 meters from traffic and obstacles, with a 30-second time-to-collision threshold. Thermal updrafts are available but must be balanced against wind shear and navigation challenges.",Climb to 250 m for stronger updrafts,Descend to 40 m to reduce wind exposure,Turn 30° toward moving no-fly zone edge,Hold heading and reduce airspeed to 16 m/s,Increase speed to 22 m/s for better control,Circle at current altitude to await GNSS recovery,Pitch down and glide toward thermal at 100 m,"[""Climb to 250 m for stronger updrafts"", ""Descend to 40 m to reduce wind exposure"", ""Turn 30° toward moving no-fly zone edge"", ""Hold heading and reduce airspeed to 16 m/s"", ""Increase speed to 22 m/s for better control"", ""Circle at current altitude to await GNSS recovery"", ""Pitch down and glide toward thermal at 100 m""]","Holding heading and reducing airspeed maintains flight stability in wind shear while conserving energy and avoiding navigation reliance on GNSS. It preserves separation from traffic and obstacles under reduced visibility and communication, complying with safety thresholds. Other options risk violating altitude limits, no-fly zones, or energy reserves during critical sensor degradation." 2025-11-01T17:57:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Convoy_Escort_in_Underground_Mine_with_Snowfall_b358055faf81_mcq.json,uavbench-mcq-v1,Glider_Convoy_Escort_in_Underground_Mine_with_Snowfall,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 200s, with icing onset and uplink loss, how should the swarm adjust roles within 10m separation and degraded GNSS?","This is a convoy escort mission conducted by a fixed-wing glider UAV inside an underground mine. The airspace is confined within a 200m x 150m polygon with strict altitude limits between 2m and 30m AGL. Weather conditions include snowfall, poor visibility, and moderate winds up to 8 m/s with gusts, creating challenging flight dynamics. The glider is equipped with a battery-powered propulsion system and carries a multi-sensor payload including RGB and thermal cameras, LiDAR, and standard navigation sensors. Key constraints include a static no-fly zone at the center and a moving no-fly cylinder that shifts during the mission. GNSS signals are degraded due to multipath effects and electromagnetic interference, limiting reliable positioning. The mission involves a swarm of three UAVs maintaining a minimum separation of 10 meters, each assigned distinct roles: leader, follower, and scout. A fault event simulates moderate icing conditions lasting one minute starting at 200 seconds into the flight. Communication is partially disrupted with two uplink loss windows, though downlink remains functional. The UAV must complete its waypoint corridor within a 600-second time budget while avoiding collisions and adhering to dynamic separation thresholds.","Scout ascends to 30m for better comms, others hold formation",Leader switches to follower; scout assumes lead role immediately,All UAVs reduce speed by 30% to conserve battery and stabilize,"Follower detaches to rescan no-fly zone, leader pauses forward motion",Swarm shifts to decentralized control with pairwise ranging only,"Leader continues course, scout backtracks to monitor icing effects",UAVs compress formation to 5m spacing to reduce wind resistance,"[""Scout ascends to 30m for better comms, others hold formation"", ""Leader switches to follower; scout assumes lead role immediately"", ""All UAVs reduce speed by 30% to conserve battery and stabilize"", ""Follower detaches to rescan no-fly zone, leader pauses forward motion"", ""Swarm shifts to decentralized control with pairwise ranging only"", ""Leader continues course, scout backtracks to monitor icing effects"", ""UAVs compress formation to 5m spacing to reduce wind resistance""]","Decentralized control maintains mission continuity during uplink loss and icing, using pairwise ranging to preserve 10m separation despite GNSS degradation. It avoids single-point failures in leadership and optimizes situational awareness across the swarm. Other options either violate spacing, disrupt role continuity, or increase collision risk under confined conditions." 2025-11-01T17:57:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Corridor_Follow_Along_Powerline_with_Thermal_Updrafts_858969a63bae_mcq.json,uavbench-mcq-v1,Glider_Corridor_Follow_Along_Powerline_with_Thermal_Updrafts,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"At 100 m AGL, winds from 260° at 9.5 m/s and thermal updrafts of 2.1 m/s challenge glider airspeed and lift management.","This is an inspection mission using a fixed-wing glider UAV equipped with RGB and thermal cameras, operating within a powerline corridor. The flight occurs in good visibility with moderate winds increasing with altitude, reaching 9.5 m/s at 100 m AGL from 260 degrees. The glider leverages thermal updrafts of up to 2.1 m/s to extend endurance while navigating a predefined corridor pattern. The operational airspace is bounded between 10 m and 120 m AGL, with a static no-fly zone near a power infrastructure point and a moving no-fly cylinder drifting westward. A second UAV and a moving spherical obstacle introduce dynamic collision risks, requiring real-time separation management. The glider must maintain a minimum 25 m separation from traffic and obstacles, monitored via DAA systems. Electromagnetic interference is present, and GNSS experiences mild jamming but no multipath effects. Communication links suffer brief uplink/downlink outages between 120–135 s and 410–425 s. The mission emphasizes energy-efficient soaring, obstacle avoidance, and adherence to airspace constraints within a 600-second time budget. Battery reserve is set to 30%, and low battery or geofence violations would result in mission failure.",Increase angle of attack to maximize lift in rising air,Reduce airspeed to minimize drag in strong headwinds,Align flight path perpendicular to wind to exploit updrafts,Descend immediately to avoid wind shear at 100 m,Pitch up sharply to gain altitude before wind gradient,Maintain best glide speed and bank into wind for drift correction,Circle tightly to stay within thermal core despite high drag,"[""Increase angle of attack to maximize lift in rising air"", ""Reduce airspeed to minimize drag in strong headwinds"", ""Align flight path perpendicular to wind to exploit updrafts"", ""Descend immediately to avoid wind shear at 100 m"", ""Pitch up sharply to gain altitude before wind gradient"", ""Maintain best glide speed and bank into wind for drift correction"", ""Circle tightly to stay within thermal core despite high drag""]","Maintaining best glide speed optimizes lift-to-drag ratio, ensuring energy efficiency. Banking into the wind counteracts drift while preserving controlled flight. Other options either increase induced drag or risk stall, violating aerodynamic limits." 2025-11-01T17:57:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Emergency_Landing_in_Volcanic_Zone_with_Gusts_5d09e65ddbe2_mcq.json,uavbench-mcq-v1,Glider_Emergency_Landing_in_Volcanic_Zone_with_Gusts,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"Glider at 120m AGL, 600s mission, 45s GNSS jam at 120s. Maximize landing safety with thermal updrafts and 14.5 m/s winds.","This scenario involves a glider UAV performing a battery emergency forced landing in a volcanic zone. The mission takes place within a defined polygonal airspace bounded from 10m to 250m AGL, featuring a static no-fly zone and a moving restricted zone. Weather conditions include strong winds up to 14.5 m/s with gusts, poor visibility, and volcanic ash, complicating navigation and aerodynamics. The UAV is equipped with standard sensors including GNSS, IMU, and RGB camera, but faces GNSS multipath, jamming, and electromagnetic interference. Notable constraints include a required minimum separation of 25m for DAA compliance and susceptibility to wind shear across altitude layers. Thermal updrafts are present but limited in size and distribution, offering sparse lift opportunities. The glider must navigate around a dynamic obstacle and avoid collisions with another UAV on a crossing path. Emergency landing sites are available, but the primary runway is optional and not required. The mission is time-critical with a 600-second budget and begins with the UAV already in flight at 120m altitude. Battery depletion and fault events, including a 45-second GNSS jam starting at 120 seconds, further challenge successful landing.",Climb to 250m using thermals to extend glide range,Descend immediately to 10m to minimize wind exposure,Fly direct to primary runway ignoring thermal lift,Circle current position to await GNSS recovery,Navigate to nearest emergency site using IMU and visuals,Increase camera frame rate for better obstacle detection,Jettison camera to reduce weight and improve glide ratio,"[""Climb to 250m using thermals to extend glide range"", ""Descend immediately to 10m to minimize wind exposure"", ""Fly direct to primary runway ignoring thermal lift"", ""Circle current position to await GNSS recovery"", ""Navigate to nearest emergency site using IMU and visuals"", ""Increase camera frame rate for better obstacle detection"", ""Jettison camera to reduce weight and improve glide ratio""]","Using IMU and visual navigation conserves energy during GNSS outage and avoids unnecessary climbs or computation. It balances time, position awareness, and resource limits while ensuring safe landing within endurance. Other options waste energy, increase risk, or violate separation and power constraints." 2025-11-01T17:57:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Firefighting_Drop_in_Dense_Urban_Cold_7d85dfb436a7_mcq.json,uavbench-mcq-v1,Glider_Firefighting_Drop_in_Dense_Urban_Cold,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 240s, icing begins with 240° winds and GNSS multipath; which navigation strategy maintains corridor accuracy?","Mission involves a glider UAV conducting a firefighting drop in a dense urban environment. The airspace includes a predefined geofenced corridor with fixed and moving no-fly zones. Weather features strong winds from 240°, gusts, snowfall, and icing conditions at low temperatures. The UAV is equipped with thermal and RGB cameras, LIDAR, and GNSS/IMU navigation, but faces GNSS multipath and electromagnetic interference. A dynamic no-fly zone moves through the area, requiring real-time avoidance. The glider must follow a corridor pattern across four waypoints before returning to land on a designated runway. Battery reserves are critical due to high drag and de-icing effects during a simulated icing event at 240 seconds. Wind and thermal updrafts near the fire zone may affect glide performance and delivery accuracy. Separation from another UAV and a moving obstacle must be maintained using DAA thresholds. Communication dropouts occur briefly at 180 and 420 seconds, limiting ground link availability.","Trust GNSS exclusively, ignore IMU drift",Switch to pure IMU dead reckoning,Fuse LIDAR with visual odometry and wind-compensated IMU,Rely on magnetic heading during EM interference,Use GPS-smoothed wind estimation alone,Disable de-icing to save battery for sensors,Follow last known heading through fog,"[""Trust GNSS exclusively, ignore IMU drift"", ""Switch to pure IMU dead reckoning"", ""Fuse LIDAR with visual odometry and wind-compensated IMU"", ""Rely on magnetic heading during EM interference"", ""Use GPS-smoothed wind estimation alone"", ""Disable de-icing to save battery for sensors"", ""Follow last known heading through fog""]","GNSS multipath and EM interference degrade position reliability, requiring fallback to sensor fusion. LIDAR and visual odometry provide terrain-relative updates, while wind-compensated IMU corrects for dynamic glide effects. This fusion maintains accuracy despite icing-induced drag and GNSS outages." 2025-11-01T17:57:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_GPS_Spoofing_Wind_Farm_Scenario_b24748f37836_mcq.json,uavbench-mcq-v1,Glider_GPS_Spoofing_Wind_Farm_Scenario,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,G,False,"At 180s, GNSS spoofing begins with 8.5 m/s winds from 240° and wind shear; how should navigation respond?","This scenario involves a glider UAV conducting an inspection mission within a wind farm. The airspace is constrained between 20 and 150 meters AGL, with a polygonal geofence enclosing the area. A static no-fly zone surrounds the wind farm's center, and a dynamic no-fly zone moves slowly through the area. The UAV is equipped with a battery-powered electric propulsion system and carries an RGB camera payload. Weather conditions include moderate winds of 8.5 m/s from 240 degrees, increasing with altitude, and a risk of lightning. A wind shear effect is present, with wind speed and direction changing across altitudes, along with thermal updrafts near a plume center. GNSS spoofing occurs at 180 seconds for 45 seconds with high severity, and electromagnetic interference degrades GNSS signal quality. The UAV must avoid collisions with a moving obstacle and another UAV flying through the airspace while maintaining separation. Communication experiences a brief downlink loss during the spoofing event, and mission success depends on adherence to constraints like NFZs, battery reserves, and navigation performance.",Switch entirely to GPS and ignore IMU drift during spoofing,Rely solely on barometric altitude with no sensor cross-check,Use visual-inertial odometry with optical flow for position hold,Maintain course using magnetometer despite EMI interference,Trust spoofed GNSS until signal returns to original accuracy,Descend immediately to 20m using uncorrected IMU integration,"Fuse IMU, camera, and airspeed to estimate relative motion","[""Switch entirely to GPS and ignore IMU drift during spoofing"", ""Rely solely on barometric altitude with no sensor cross-check"", ""Use visual-inertial odometry with optical flow for position hold"", ""Maintain course using magnetometer despite EMI interference"", ""Trust spoofed GNSS until signal returns to original accuracy"", ""Descend immediately to 20m using uncorrected IMU integration"", ""Fuse IMU, camera, and airspeed to estimate relative motion""]","During GNSS spoofing and EMI, IMU-camera-airspeed fusion provides redundancy against spoofed data and mitigates wind shear errors. Optical flow alone (C) lacks 3D context, while GNSS/compass reliance fails under interference. G maintains situational awareness through multi-sensor consistency and environmental adaptability." 2025-11-01T17:57:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Inspection_in_Sandstorm_at_Offshore_Platform_002140cbea9d_mcq.json,uavbench-mcq-v1,Glider_Inspection_in_Sandstorm_at_Offshore_Platform,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 120s, GNSS fails for 30s with 18 m/s gusting winds aloft; what action maintains control and path accuracy?","A glider UAV conducts an inspection mission near an offshore platform in severe sandstorm conditions with poor visibility. The airspace is constrained between 10 and 120 meters AGL, featuring a static no-fly zone around the platform center and a moving no-fly zone drifting diagonally. Strong, gusty winds up to 18 m/s increase with altitude and shift direction, complicating flight stability and navigation. The glider is equipped with RGB camera and LiDAR payload, relying on GNSS, IMU, and barometer for positioning, but faces GNSS multipath and jamming interference. A temporary GNSS jamming fault occurs at 120 seconds, lasting 30 seconds, coinciding with a comms downlink loss window. The mission includes four waypoints flown in a corridor pattern, requiring precise path planning to avoid collisions. Air traffic includes another UAV moving westward at 50 meters altitude, demanding separation monitoring. Thermal updrafts near the platform offer potential lift but are limited in range. The glider must complete the mission within 600 seconds while maintaining safe separation and managing battery reserves. Landing options include a preferred site at the northeast corner and an emergency site at the northwest edge.",Increase airspeed to 22 m/s to overcome wind shear,Descend to 15 m AGL to reduce gust impact and save battery,Bank 45° toward northeast to avoid moving no-fly zone quickly,Pitch up 10° to gain lift from thermal updrafts near platform,Hold current airspeed and rely solely on IMU and barometer,Turn west immediately to follow other UAV’s flight level,Reduce angle of attack to minimize drag during jamming,"[""Increase airspeed to 22 m/s to overcome wind shear"", ""Descend to 15 m AGL to reduce gust impact and save battery"", ""Bank 45° toward northeast to avoid moving no-fly zone quickly"", ""Pitch up 10° to gain lift from thermal updrafts near platform"", ""Hold current airspeed and rely solely on IMU and barometer"", ""Turn west immediately to follow other UAV’s flight level"", ""Reduce angle of attack to minimize drag during jamming""]","Descending to 15 m AGL reduces exposure to stronger gusts aloft, improving stability. Lower altitude increases air density, enhancing lift and control authority while conserving battery. Other options either exceed structural load limits or misapply aerodynamic forces under sensor degradation." 2025-11-01T17:57:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Package_Delivery_in_Industrial_Plant_with_Microburst_Risk_4b97040012f1_mcq.json,uavbench-mcq-v1,Glider_Package_Delivery_in_Industrial_Plant_with_Microburst_Risk,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 80m AGL, 4.2 m/s westerly gust occurs with 15s to microburst; battery at 45%. Which action balances energy, safety, and path?","This scenario involves a glider UAV conducting a package delivery mission within a confined industrial plant airspace. The UAV is equipped with a 1.0 kg payload and relies on battery power, featuring aerodynamic design optimized for efficiency with a wing area of 1.8 m² and low drag profile. Flight occurs between 10 and 120 meters AGL, bounded by a polygonal geofence and two no-fly zones—one static and one moving—requiring dynamic path planning. The environment includes strong westerly winds increasing with altitude, gusts up to 4.5 m/s, and a microburst risk that could induce sudden downdrafts and wind shear. Thermal plumes are present, offering potential lift, but wind shear across altitudes complicates stable flight. GNSS signals suffer from multipath effects and mild jamming, while electromagnetic interference challenges sensor reliability. The glider must maintain separation from a moving UAV traffic and a drifting spherical obstacle, with DAA thresholds set at 25 meters and 15 seconds TTC. A communication link experiences brief outages, and an icing event occurs mid-mission, degrading performance for 30 seconds. The mission must be completed within 600 seconds, navigating constraints while preserving sufficient battery and avoiding stalls or breaches. Success depends on energy management, sensor resilience, and adaptive control under adverse weather and dynamic obstacles.",Climb to 110m for thermal lift,Descend to 20m to avoid shear,"Hold altitude, reduce speed by 15%",Turn east at full glide speed,"Pitch up 10°, maintain heading","Deploy spoilers, descend rapidly","Bank 30°, track crosswind","[""Climb to 110m for thermal lift"", ""Descend to 20m to avoid shear"", ""Hold altitude, reduce speed by 15%"", ""Turn east at full glide speed"", ""Pitch up 10°, maintain heading"", ""Deploy spoilers, descend rapidly"", ""Bank 30°, track crosswind""]","Holding altitude avoids terrain and obstacle risks while reducing speed improves control in gusts and conserves energy. This balances aerodynamic stability, microburst anticipation, and battery constraints without violating separation or geofence limits. Other options either increase stall risk, waste energy, or compromise separation." 2025-11-01T17:57:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Powerline_Inspection_in_Cold_Weather_d1c31cb9ffdd_mcq.json,uavbench-mcq-v1,Glider_Powerline_Inspection_in_Cold_Weather,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"At 200 s, icing reduces lift by 15% at 8 m/s wind from 240°; what is optimal airspeed and pitch response?","This is a glider UAV mission for powerline inspection in a designated corridor. The operation takes place in cold weather with icing conditions present. The airspace is constrained between 20 and 120 meters AGL, featuring a polygonal geofence and a cylindrical no-fly zone near the center. The UAV is equipped with RGB and thermal cameras for visual inspection and relies on GNSS, IMU, magnetometer, and barometer for navigation. Strong winds at 8 m/s from 240 degrees and gusts up to 4 m/s challenge flight stability. The glider must avoid a moving spherical obstacle and maintain separation from another UAV flying across its path. A critical constraint is the temporary GNSS signal loss during two short comms windows and the risk of GNSS multipath in narrow corridors. The mission includes an icing event fault at 200 seconds, reducing aerodynamic performance for one minute. Battery endurance is limited, with a 30% reserve required and a total time budget of 600 seconds. The UAV must complete its waypoint inspection pattern and return to a runway-aligned landing site while adhering to separation minima and avoiding stalls.",Increase airspeed by 10% and decrease pitch by 2°,Maintain current airspeed and increase pitch by 4°,Decrease airspeed by 5% and increase pitch by 3°,Increase airspeed by 12% and increase pitch by 3°,Reduce airspeed by 8% and maintain pitch attitude,Increase pitch by 5° without changing airspeed,Decrease pitch by 3° and reduce thrust by 15%,"[""Increase airspeed by 10% and decrease pitch by 2°"", ""Maintain current airspeed and increase pitch by 4°"", ""Decrease airspeed by 5% and increase pitch by 3°"", ""Increase airspeed by 12% and increase pitch by 3°"", ""Reduce airspeed by 8% and maintain pitch attitude"", ""Increase pitch by 5° without changing airspeed"", ""Decrease pitch by 3° and reduce thrust by 15%""]","Increased airspeed compensates for lost lift due to degraded wing aerodynamics from icing, while moderate pitch increase maintains angle of attack below stall. This balances lift recovery and drag rise under wind gusts, ensuring control authority and energy margin within altitude and endurance constraints." 2025-11-01T17:57:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Recon_in_Sandstorm_at_Wind_Farm_e2c9bcf2b266_mcq.json,uavbench-mcq-v1,Glider_Recon_in_Sandstorm_at_Wind_Farm,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"Plan a response to GNSS loss at waypoint 3, with 45s outage, 18 m/s winds, and a drifting no-fly zone moving northwest.","This is a disaster reconnaissance mission using a fixed-wing glider UAV in a wind farm environment. The airspace is constrained between 10 and 150 meters AGL with a static no-fly zone near the center and a moving no-fly zone drifting northwest. Severe weather includes a sandstorm, poor visibility, and strong winds up to 18 m/s increasing with altitude, with significant gusts and wind shear. The glider is equipped with radar, RGB and thermal cameras, and relies on battery power with no runway needed for operation. GNSS signals are degraded due to multipath effects and intentional jamming, with a planned GNSS jamming fault lasting 45 seconds. Electromagnetic interference and frequent communication downlink outages further challenge control and data transmission. The mission involves navigating a five-waypoint corridor pattern while avoiding dynamic obstacles including another UAV and a drifting spherical obstacle. Thermal updrafts are present but limited, offering some lift potential in the turbulent conditions. Strict separation requirements and DAA thresholds must be maintained despite sensor and communication degradations.",Climb to 150m AGL for better radar coverage,Descend to 10m AGL and hold until GNSS recovers,Execute prebaked dead reckoning to waypoint 4,Turn southeast toward nearest safe thermal updraft,Increase speed to exit interference zone quickly,Orbit at current altitude using inertial navigation,Divert northwest to avoid sandstorm core,"[""Climb to 150m AGL for better radar coverage"", ""Descend to 10m AGL and hold until GNSS recovers"", ""Execute prebaked dead reckoning to waypoint 4"", ""Turn southeast toward nearest safe thermal updraft"", ""Increase speed to exit interference zone quickly"", ""Orbit at current altitude using inertial navigation"", ""Divert northwest to avoid sandstorm core""]","GNSS outage and jamming invalidate reliance on position updates; inertial drift and communication outages make sustained trajectory prediction risky. Descending to 10m increases multipath and collision risk with turbines; climbing worsens wind shear and gust exposure. Diverting to a thermal updraft at moderate altitude leverages passive lift, reduces reliance on propulsion, and allows loitering with minimal energy use while maintaining separation. Option D avoids the drifting no-fly zone and sandstorm core, mitigates endurance concerns, and uses environmental cues less affected by EMI, making it safest during sensor degradation." 2025-11-01T17:57:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Satellite_Link_Relay_in_Rural_Area_with_Gusts_01eb560d797e_mcq.json,uavbench-mcq-v1,Glider_Satellite_Link_Relay_in_Rural_Area_with_Gusts,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 470 seconds, winds reach 12 m/s with gusts; UAV must land by 600 s. Communication drops occur at 480–500 s. What action prioritizes safety and mission integrity?","This is a relay mission using a battery-powered glider UAV equipped with RGB camera and standard sensors in a rural airspace. The glider operates within a defined corridor between 50 and 450 meters AGL, navigating around static and moving no-fly zones. Winds increase with altitude, reaching 12 m/s from the west, with gusts up to 4.5 m/s adding turbulence. The UAV must maintain a satellite communication link while flying a five-waypoint route to relay data across the area. A dynamic no-fly zone moves diagonally through the airspace, requiring real-time path adjustments. The mission involves a three-UAV swarm with leader-relay roles, maintaining at least 50 meters separation between units. Thermal updrafts are present but not utilized, and electromagnetic interference may affect systems despite no GNSS multipath. Communication dropouts are expected between 120–135 and 480–500 seconds, requiring resilient data handling. The UAV must return to a designated runway for landing, completing the mission within 600 seconds while avoiding traffic and obstacles.",Continue to final waypoint before returning,Abort mission and land immediately off-runway,Adjust path to avoid dynamic no-fly zone early,Descend to 40 m AGL to reduce wind exposure,Increase speed to complete relay before dropout,Maintain course through expected comms blackout,Initiate early return within corridor and on schedule,"[""Continue to final waypoint before returning"", ""Abort mission and land immediately off-runway"", ""Adjust path to avoid dynamic no-fly zone early"", ""Descend to 40 m AGL to reduce wind exposure"", ""Increase speed to complete relay before dropout"", ""Maintain course through expected comms blackout"", ""Initiate early return within corridor and on schedule""]","The UAV must balance mission completion with guaranteed return before 600 seconds and safe operation during communication dropouts. Landing at the designated runway ensures controlled recovery and avoids unauthorized landings near civilians. Option G adheres to airspace rules, respects comms degradation timing, and maintains safety-of-life priorities over data relay objectives." 2025-11-01T17:57:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Satellite_Link_Relay_in_Snowy_Suburban_Area_5c2341894305_mcq.json,uavbench-mcq-v1,Glider_Satellite_Link_Relay_in_Snowy_Suburban_Area,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"Glider at 45 m AGL, 15 m/s airspeed, 10° AoA, encountering 8 m/s headwind gust in snow. What immediate control action optimizes lift-to-drag ratio?","This mission involves a glider UAV performing a satellite link relay in a snowy suburban environment. The airspace is constrained between 30 and 180 meters AGL, with a defined geofence and a cylindrical no-fly zone near the center. Weather conditions include moderate wind, gusts, snowfall, and icing, with poor visibility degrading sensor performance. The glider is equipped with a battery-powered propulsion system, RGB camera, and standard navigation sensors, carrying a relay payload. GNSS signals are degraded by multipath and jamming, and electromagnetic interference is present. The flight must avoid a central no-fly zone and maintain separation from static and moving obstacles, including another UAV on a crossing path. Thermal updrafts are available at two locations to aid glider endurance. An icing fault occurs mid-mission, reducing performance for one minute. Communication experiences brief downlink outages, and link quality is monitored throughout. The mission must be completed within 600 seconds while adhering to strict altitude, separation, and geofence constraints.",Increase pitch by 3° to maximize lift,Reduce airspeed to 12 m/s to save energy,Extend flaps fully for higher CLmax,Bank 20° right to exit turbulence,Maintain current attitude and increase thrust,Decrease angle of attack by 2° promptly,Climb at 5 m/s vertical speed to gain margin,"[""Increase pitch by 3° to maximize lift"", ""Reduce airspeed to 12 m/s to save energy"", ""Extend flaps fully for higher CLmax"", ""Bank 20° right to exit turbulence"", ""Maintain current attitude and increase thrust"", ""Decrease angle of attack by 2° promptly"", ""Climb at 5 m/s vertical speed to gain margin""]","Decreasing AoA by 2° counters gust-induced lift spike, avoiding flow separation and minimizing drag rise. This maintains optimal L/D in turbulent, low-Re conditions, preserving energy and control in icing-prone airflow." 2025-11-01T17:58:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Recon_with_Amphibious_UAV_66ec8f78c5a9_mcq.json,uavbench-mcq-v1,Desert_Recon_with_Amphibious_UAV,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,C,C,True,"With 850 Wh battery, 30% reserve, and 600-second mission, how should the UAV adapt after 45s GNSS jamming at 320s in sandstorm?","This is a search and rescue mission conducted in a desert environment using an amphibious fixed-wing VTOL UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The UAV operates within a defined airspace ranging from 10 to 150 meters AGL, bounded by a polygonal geofence and featuring a central cylindrical no-fly zone around the coordinates (400, 300). The mission takes place under challenging weather conditions, including a moderate sandstorm, 6.5 m/s winds from 240 degrees, and gusts up to 3.2 m/s, which may affect visibility and flight stability. The UAV has a battery capacity of 850 Wh and a reserve energy fraction of 30%, limiting its operational endurance within the 600-second time budget. It follows a corridor search pattern across five waypoints, requiring a runway takeoff and landing, with a designated primary landing site at (50, 50) and an emergency site at (750, 550). A second UAV is present in the airspace, flying at 18 m/s on a fixed trajectory, requiring separation maintenance of at least 25 meters and a time-to-closest-approach threshold of 20 seconds. A moving spherical obstacle drifts westward at 2 m/s near (500, 200), adding dynamic collision risk. Notably, the UAV experiences a GNSS jamming fault lasting 45 seconds starting at 320 seconds into the mission, challenging navigation in an environment prone to GNSS multipath due to open but feature-scarce terrain.",Continue corridor search using GPS-only navigation,Descend to 10 m AGL and increase speed to 20 m/s,Switch to LiDAR-INS fusion and reduce camera frame rate,Abort mission and fly direct to emergency landing site,Climb to 150 m AGL for better communication range,Hover for 45 seconds until GNSS signal returns,Activate full RGB and thermal streaming at 30 Hz,"[""Continue corridor search using GPS-only navigation"", ""Descend to 10 m AGL and increase speed to 20 m/s"", ""Switch to LiDAR-INS fusion and reduce camera frame rate"", ""Abort mission and fly direct to emergency landing site"", ""Climb to 150 m AGL for better communication range"", ""Hover for 45 seconds until GNSS signal returns"", ""Activate full RGB and thermal streaming at 30 Hz""]","LiDAR-INS fusion maintains navigation accuracy during GNSS outage without high energy cost. Reducing camera frame rate conserves power and bandwidth. This balances safety, endurance, and mission continuity under constrained energy and visibility." 2025-11-01T17:58:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Mountain_Ridge_BVLOS_Mission_4401fbe84bfb_mcq.json,uavbench-mcq-v1,Arctic_Mountain_Ridge_BVLOS_Mission,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,A,A,True,"At 300 seconds, winds reach 12 m/s at 800 m AGL with icing reducing lift; which action maintains mission integrity across agents?","This is a BVLOS inspection mission conducted in arctic mountainous terrain with poor visibility due to rain and icing conditions. The environment features strong and increasing winds with altitude, shifting from 8.5 m/s at ground level to 15 m/s at 1000 meters. A dual-rotor helicopter UAV with a 2 kg payload and sensors including GNSS, IMU, LiDAR, RGB, and thermal cameras is used. The UAV operates within a defined polygonal airspace between 50 and 1200 meters AGL, avoiding static and moving no-fly zones. GNSS signals are degraded due to multipath effects and moderate jamming at -85 dBm, with additional electromagnetic interference present. The mission includes a corridor flight pattern across five waypoints, with a strict 600-second time budget and thermal updrafts near the final waypoint. A dynamic no-fly zone and a moving spherical obstacle require real-time avoidance, along with maintaining separation from other traffic. The UAV must manage battery reserves carefully, as icing events occur between seconds 240 and 360, reducing performance. Communication experiences brief downlink outages, and emergency landing sites are available if needed. Success depends on avoiding collisions, maintaining GNSS availability, and completing the route within energy and timing constraints.",Descend to 400 m to reduce wind exposure and ice accumulation,Accelerate to reach thermal updrafts before 600-second deadline,Divert to emergency landing site due to GNSS signal degradation,Maintain current altitude and redistribute payload balance dynamically,Climb to 1000 m for stronger thermal updrafts despite higher wind,Enter hover mode to wait out icing event until 360 seconds,Shift to decentralized control to compensate for downlink outages,"[""Descend to 400 m to reduce wind exposure and ice accumulation"", ""Accelerate to reach thermal updrafts before 600-second deadline"", ""Divert to emergency landing site due to GNSS signal degradation"", ""Maintain current altitude and redistribute payload balance dynamically"", ""Climb to 1000 m for stronger thermal updrafts despite higher wind"", ""Enter hover mode to wait out icing event until 360 seconds"", ""Shift to decentralized control to compensate for downlink outages""]","Descending to 400 m reduces exposure to increasing winds and ongoing icing, preserving energy and control authority. It maintains coordination by keeping the UAV within the safe operating envelope for timely corridor progression. Other options either increase risk, waste time, or violate energy constraints under multi-agent timing synchronization needs." 2025-11-01T17:58:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Ship_Deck_Delivery_in_Fog_3bc15a41cdb3_mcq.json,uavbench-mcq-v1,Glider_Ship_Deck_Delivery_in_Fog,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 240s, icing begins at 45m AGL, winds are 9.5 m/s, visibility <1 km; payload is 0.8 kg. What should the UAV do?","This is a delivery mission using a fixed-wing glider UAV in suburban airspace near a ship deck. The glider carries a 0.8 kg payload and relies on battery power with a max speed of 22 m/s. Weather conditions include fog, poor visibility, icing risk, and moderate winds up to 9.5 m/s increasing with altitude. The flight occurs between 10 and 120 meters AGL within a defined rectangular geofence. A static no-fly zone and a moving dynamic obstacle restrict flight paths, requiring careful navigation. The UAV must avoid a second active UAV and a drifting spherical obstacle while maintaining separation. GNSS signals are degraded due to multipath and interference, and a comms loss occurs briefly twice during flight. An icing event reduces performance between 200 and 260 seconds into the mission. The glider must complete its route within 600 seconds and land on a designated runway aligned to the west.",Continue mission; risk minor performance loss,Descend to 10m AGL to avoid icing layers,Divert through no-fly zone to save time,Climb above 120m for smoother air,Abort and land at nearest civilian field,Eject payload to reduce weight and maneuver,"Turn west, maintain altitude, prepare for emergent landing","[""Continue mission; risk minor performance loss"", ""Descend to 10m AGL to avoid icing layers"", ""Divert through no-fly zone to save time"", ""Climb above 120m for smoother air"", ""Abort and land at nearest civilian field"", ""Eject payload to reduce weight and maneuver"", ""Turn west, maintain altitude, prepare for emergent landing""]","Icing degrades performance and control; continuing or climbing risks loss of control. Safety-of-life requires prioritizing controlled descent and landing within geofence. G follows emergency hierarchy, maintains lawful altitude, and prepares for safe recovery without endangering civilians." 2025-11-01T17:58:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Swarm_Coordination_in_Wind_Farm_with_Hail_a6984a255337_mcq.json,uavbench-mcq-v1,Glider_Swarm_Coordination_in_Wind_Farm_with_Hail,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,D,False,"Gliders face 15 m/s winds, hail, and GNSS issues at 20–180 m AGL; one glider hits icing at 200 s. What maximizes swarm inspection with battery limits?","Mission involves a swarm of gliders inspecting a wind farm in poor visibility with hail. Operations occur within a defined polygon airspace with a 20–180 m AGL altitude range. Weather includes strong winds up to 15 m/s, gusts, and hazardous hail conditions. UAVs are battery-powered gliders equipped with RGB cameras and standard navigation sensors. GNSS signals suffer from multipath and moderate jamming, with additional electromagnetic interference. A static no-fly zone blocks access near a turbine at (300, 200), and a moving no-fly cylinder drifts through the area. Swarm consists of four gliders maintaining minimum 25 m separation, with role-based coordination. Traffic includes another UAV flying through the airspace at 15 m/s on a fixed heading. An icing event occurs at 200 seconds, degrading performance for one minute. Communication experiences intermittent uplink loss, requiring resilient autonomy and relay strategies.",Increase speed to cut through hail quickly,Descend all gliders to 20 m AGL immediately,Activate camera strobe for visibility in poor light,Offload imaging to single glider; others glide passively,Circle no-fly zone to maintain GNSS lock,Transmit full RGB streams continuously to base,Climb to 180 m for clearer GNSS and wind advantage,"[""Increase speed to cut through hail quickly"", ""Descend all gliders to 20 m AGL immediately"", ""Activate camera strobe for visibility in poor light"", ""Offload imaging to single glider; others glide passively"", ""Circle no-fly zone to maintain GNSS lock"", ""Transmit full RGB streams continuously to base"", ""Climb to 180 m for clearer GNSS and wind advantage""]","Offloading imaging reduces power draw across the swarm, preserving battery during high-wind and icing stress. Passive gliding minimizes energy use while maintaining position and separation. This balances mission continuity, communication resilience, and endurance under constrained resources." 2025-11-01T17:58:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Thermal_Soar_and_Touch-and-Go_at_Wind_Farm_5fffb1d62f14_mcq.json,uavbench-mcq-v1,Glider_Thermal_Soar_and_Touch-and-Go_at_Wind_Farm,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,D,False,Glider must execute touch-and-go at 240° runway amid GNSS interference and a moving obstacle near 80 m no-fly zone.,"Mission involves a glider UAV performing a touch-and-go at a wind farm. Flight occurs within a defined polygon airspace with a maximum altitude of 120 m AGL. Moderate winds of 6.5 m/s increase with altitude and shift direction, with gusts up to 3.2 m/s. Thermal updrafts are present near wind turbines, aiding lift at two plume locations. The UAV is a battery-powered glider equipped with RGB and thermal cameras. A no-fly zone surrounds a central turbine, extending up to 80 m altitude. GNSS signals experience multipath and interference, complicating navigation accuracy. The UAV must avoid a moving obstacle and maintain separation from another UAV. Touch-and-go landing is required on a runway aligned with 240° heading. Battery reserve and time constraints add operational pressure during the mission.",Use GNSS-only guidance for precision approach,Disable encryption to reduce autopilot latency,Rely solely on thermal updrafts to extend glide,Authenticate commands and fuse IMU with GNSS,Transmit unencrypted telemetry to ground station,Override autopilot with manual RF control link,Activate camera feed without data compression,"[""Use GNSS-only guidance for precision approach"", ""Disable encryption to reduce autopilot latency"", ""Rely solely on thermal updrafts to extend glide"", ""Authenticate commands and fuse IMU with GNSS"", ""Transmit unencrypted telemetry to ground station"", ""Override autopilot with manual RF control link"", ""Activate camera feed without data compression""]","D ensures data integrity via command authentication and maintains navigation resilience by fusing IMU with degraded GNSS, preserving control stability. It mitigates spoofing risks and sustains availability during signal multipath. Other options expose communication, reduce sensor fidelity, or bypass critical security layers under adversarial conditions." 2025-11-01T17:58:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Thermal_Soar_at_Bridge_Site_60481c23c913_mcq.json,uavbench-mcq-v1,Glider_Thermal_Soar_at_Bridge_Site,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which flight strategy maximizes inspection time within 600 seconds, 20% battery reserve, 6 m/s winds, and thermal updrafts?","This is an autonomous glider mission for infrastructure inspection near a bridge site. The UAV operates within a defined polygon airspace from 20 to 150 meters AGL. Moderate winds of 6 m/s from 240 degrees and gusts up to 3 m/s are present. Thermal updrafts at two locations support energy-efficient soaring flight. The UAV is a battery-powered glider equipped with RGB and thermal cameras. A no-fly cylinder restricts access near the center of the airspace. GNSS signals experience multipath interference, affecting positioning accuracy. The mission must avoid a moving spherical obstacle and maintain separation from traffic. The glider must return to the runway threshold for landing within a 600-second time limit. Battery reserve is set to 20%, and energy management is critical for mission success.","Direct path ignoring thermals, fixed speed",Thermal soaring with maximum bank angle,Low-altitude loitering near bridge surface,Updraft-centered circular patterns with glide control,High-speed zigzag to minimize wind impact,Frequent climbs to 150 m AGL without thermal use,Short glides with camera off to save power,"[""Direct path ignoring thermals, fixed speed"", ""Thermal soaring with maximum bank angle"", ""Low-altitude loitering near bridge surface"", ""Updraft-centered circular patterns with glide control"", ""High-speed zigzag to minimize wind impact"", ""Frequent climbs to 150 m AGL without thermal use"", ""Short glides with camera off to save power""]",Exploiting thermal updrafts through controlled circular gliding extends endurance by regaining altitude without battery use. This optimizes energy efficiency and maximizes inspection time within the 20% reserve and 600-second limit. Other strategies either waste energy or fail to leverage environmental advantages. 2025-11-01T17:58:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Arctic_Recon_with_Convertiplane_Under_Lightning_Risk_b1a33744e230_mcq.json,uavbench-mcq-v1,Arctic_Recon_with_Convertiplane_Under_Lightning_Risk,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,C,A,False,"At 580 m AGL with 16 m/s winds and icing onset, what action maintains safety and mission success?","Arctic reconnaissance mission using a convertiplane UAV equipped with RGB and thermal cameras, LiDAR, and full sensor suite. Flight occurs in a defined arctic airspace with a lightning risk and strong, increasing winds up to 16 m/s at higher altitudes. The UAV must operate between 50 and 600 meters AGL within a polygonal geofence, avoiding static and moving no-fly zones. A dynamic no-fly zone drifts southwest, and a moving spherical obstacle traverses the area. The mission follows a fixed-wing corridor pattern with five waypoints, requiring runway-aligned takeoff and landing. GNSS multipath and intermittent jamming are present, along with electromagnetic interference affecting navigation. An icing event and comms loss windows introduce additional operational hazards. The UAV must manage battery reserves carefully under high wind and fault conditions. Separation from other traffic and obstacles must be maintained above 50 meters. Successful completion requires adherence to altitude, timing, and safety constraints despite environmental and system challenges.",Descend to 400 m AGL and continue survey,Climb to 610 m AGL for smoother airflow,Divert immediately to runway at 300 m AGL,Hold hover at 580 m AGL for thermal scan,Accelerate forward to outrun the drift zone,"Turn south to avoid jamming, maintain altitude",Descend to 45 m AGL and fly under LiDAR,"[""Descend to 400 m AGL and continue survey"", ""Climb to 610 m AGL for smoother airflow"", ""Divert immediately to runway at 300 m AGL"", ""Hold hover at 580 m AGL for thermal scan"", ""Accelerate forward to outrun the drift zone"", ""Turn south to avoid jamming, maintain altitude"", ""Descend to 45 m AGL and fly under LiDAR""]","Remaining below 600 m AGL complies with altitude limits while descending reduces icing and wind exposure. Continuing the survey at 400 m maintains separation, avoids the dynamic no-fly zone, and preserves battery. Other options exceed altitude, violate separation, or increase multipath and fault risks." 2025-11-01T17:58:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/BVLOS_High-Altitude_Pseudo-Satellite_Snowfall_Test_2ebb7c017e5b_mcq.json,uavbench-mcq-v1,BVLOS_High-Altitude_Pseudo-Satellite_Snowfall_Test,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,G,G,True,"At 450 seconds, icing reduces lift at 450 m AGL, 8 m/s WSW wind, -85 dBm GNSS jamming. What action maintains control and mission integrity?","This is a BVLOS high-altitude pseudo-satellite mission conducting a survey in suburban airspace. The UAV operates between 100 and 900 meters AGL within a defined polygonal geofence. It flies in poor visibility with active snowfall and icing conditions, experiencing moderate wind at 8 m/s from 240 degrees, increasing with altitude. The UAV is a fixed-wing battery-powered platform equipped with radar, RGB and thermal cameras, and standard navigation sensors. Key constraints include strong GNSS multipath, electromagnetic interference, and a GNSS jamming signal at -85 dBm. A static no-fly zone and a moving no-fly cylinder must be avoided, along with a dynamic spherical obstacle. The mission requires runway use and involves transitioning between VTOL and forward flight modes. A traffic UAV is present, requiring separation assurance with a 50-meter minimum threshold. An icing fault occurs at 450 seconds, reducing performance for two minutes. Communication experiences brief downlink outages, and mission success depends on battery endurance, navigation integrity, and collision avoidance.",Increase angle of attack by 6° to regain lift,Reduce airspeed to 15 m/s to decrease drag,Engage maximum thrust and pitch down 3°,Extend flaps fully and maintain current power,Bank 45° into wind to escape icing layer,"Descend at 10 m/s vertical rate, idle thrust","Hold pitch attitude, increase throttle to 95%","[""Increase angle of attack by 6° to regain lift"", ""Reduce airspeed to 15 m/s to decrease drag"", ""Engage maximum thrust and pitch down 3°"", ""Extend flaps fully and maintain current power"", ""Bank 45° into wind to escape icing layer"", ""Descend at 10 m/s vertical rate, idle thrust"", ""Hold pitch attitude, increase throttle to 95%""]","Icing increases wing roughness, raising stall AoA and drag while decreasing max lift. Increasing throttle compensates for lost thrust margin without increasing AoA, avoiding stall. Holding pitch prevents abrupt lift fluctuations and maintains energy in degraded aerodynamic conditions." 2025-11-01T17:58:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Thermal_Soaring_at_Bridge_Site_0277ba116f75_mcq.json,uavbench-mcq-v1,Glider_Thermal_Soaring_at_Bridge_Site,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"At 180s, icing reduces performance; GNSS jamming at -85 dBm and multipath affect navigation near the bridge. What is optimal?","This mission involves a solar-powered fixed-wing UAV conducting a thermal soaring survey near a bridge site. The airspace is constrained between 10 and 180 meters AGL within a defined polygon, featuring a static no-fly cylinder and a moving no-fly zone. Weather includes moderate winds at 6.5 m/s from 240° with increasing speed and veer aloft, good visibility, and icing conditions present. The UAV is equipped with RGB and thermal cameras for payload, relying on GNSS, IMU, and barometric sensors for navigation. Thermal updrafts at two locations provide lift opportunities for extended endurance. GNSS multipath effects and mild jamming at -85 dBm degrade positioning accuracy near structures. A second UAV and a moving spherical obstacle require separation, with a 25-meter minimum threshold and 15-second time-to-closest-approach monitoring. The UAV must avoid stalling, especially during an induced icing event at 180 seconds that reduces performance for one minute. Communication experiences a brief downlink loss between 400–420 seconds, and the mission concludes with a runway landing requirement.",Rely solely on barometric altitude with encrypted telemetry downlink,"Switch to IMU and airdata fusion, authenticate uplink commands",Increase GNSS update rate despite jamming to maintain position lock,Disable thermal camera to save power during icing-induced drag,Use last known GNSS fix with open telemetry for ground updates,Follow prebaked waypoints ignoring real-time obstacle proximity,Hand over control via unencrypted datalink to reduce latency,"[""Rely solely on barometric altitude with encrypted telemetry downlink"", ""Switch to IMU and airdata fusion, authenticate uplink commands"", ""Increase GNSS update rate despite jamming to maintain position lock"", ""Disable thermal camera to save power during icing-induced drag"", ""Use last known GNSS fix with open telemetry for ground updates"", ""Follow prebaked waypoints ignoring real-time obstacle proximity"", ""Hand over control via unencrypted datalink to reduce latency""]","Switching to IMU and airdata fusion maintains navigation integrity during GNSS degradation, preserving control stability. Authenticating uplink commands ensures cyber resilience against spoofing or injection. This layered approach mitigates both physical performance loss and cyber threats." 2025-11-01T17:58:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Thermal_Soaring_Swarm_Mission_Offshore_271010a568e4_mcq.json,uavbench-mcq-v1,Glider_Thermal_Soaring_Swarm_Mission_Offshore,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"With 14.5 m/s crosswinds and 15m separation, how should the swarm adjust formation during thermal soaring inside the geofence?","This is a swarm UAV mission focused on thermal soaring and offshore survey operations. The flight occurs in an offshore platform airspace with a defined geofence and both static and moving no-fly zones. Strong crosswinds up to 14.5 m/s increase with altitude and shift in direction, creating challenging flight conditions. Four fixed-wing hybrid UAVs, equipped with RGB and thermal cameras, operate as a coordinated swarm with leader-follower roles. Each UAV relies on battery power and aerodynamic efficiency to exploit thermal updrafts for energy conservation. GNSS signals are degraded due to multipath effects and moderate jamming, while electromagnetic interference affects sensor reliability. The swarm must maintain minimum 15-meter separation and avoid dynamic obstacles, including another UAV and a moving sphere. Communication experiences brief downlink losses, requiring resilient data handling. Flight altitude is restricted between 10 and 150 meters AGL, with a critical no-fly cylinder near the center. The mission prioritizes coverage of a corridor survey pattern within a 10-minute window while leveraging thermals for extended endurance.",Tighten formation to reduce drag and share thermal lift,Stagger altitudes by 10m to maintain visual contact,Disperse radially to maximize thermal detection range,Align downwind in single file to minimize collision risk,Ascend collectively to 150m for stronger updrafts,Assign one UAV to monitor moving sphere exclusively,Rotate leader every 90 seconds to balance energy use,"[""Tighten formation to reduce drag and share thermal lift"", ""Stagger altitudes by 10m to maintain visual contact"", ""Disperse radially to maximize thermal detection range"", ""Align downwind in single file to minimize collision risk"", ""Ascend collectively to 150m for stronger updrafts"", ""Assign one UAV to monitor moving sphere exclusively"", ""Rotate leader every 90 seconds to balance energy use""]","Dispersing radially enhances collective thermal detection while preserving minimum 15m separation under crosswind drift. This maximizes energy-scouting coverage without overloading a single agent. Other options risk collision, violate spacing, or reduce swarm adaptability under GNSS degradation." 2025-11-01T17:58:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Thermal_Soaring_in_Forest_with_Gusts_f552e6dfabb0_mcq.json,uavbench-mcq-v1,Glider_Thermal_Soaring_in_Forest_with_Gusts,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"With 600s limit, 10m separation, and GNSS jamming at -75 dBm, how should the swarm prioritize during downlink loss?","This is a search and rescue mission conducted by a swarm of four fixed-wing UAVs in a forested airspace. The UAVs operate within a defined corridor between 10 and 120 meters above ground level, bounded by a polygonal geofence. Weather includes a 6.5 m/s wind from 240 degrees with gusts up to 4.2 m/s, increasing in speed and shifting direction with altitude. The UAVs are equipped with GNSS, IMU, lidar, RGB and thermal cameras, supporting autonomous navigation and thermal target detection. GNSS signals are degraded by multipath effects and -75 dBm jamming, compounded by electromagnetic interference. A static no-fly zone and a moving no-fly cylinder require dynamic avoidance, along with a drifting spherical obstacle. The swarm must maintain a minimum 10-meter inter-UAV separation and avoid a conflicting UAV flying through the area. Communication experiences two brief downlink loss windows, and the UAVs must complete the waypoint corridor within 600 seconds. Thermal updrafts at two locations offer potential energy-saving opportunities for efficient gliding. The mission emphasizes robust navigation under sensor degradation, swarm coordination, and safe operation in turbulent, obstacle-rich environments.",Continue search using thermal cameras and lidar locally,Abort mission immediately to prevent uncontrolled swarm drift,Climb above 120m to escape jamming and turbulence,Descend below 10m for visual ground reference and safety,Fly toward thermal updrafts to conserve energy despite risks,Converge at one location to strengthen communication signal,Enter no-fly zone briefly to reduce path complexity,"[""Continue search using thermal cameras and lidar locally"", ""Abort mission immediately to prevent uncontrolled swarm drift"", ""Climb above 120m to escape jamming and turbulence"", ""Descend below 10m for visual ground reference and safety"", ""Fly toward thermal updrafts to conserve energy despite risks"", ""Converge at one location to strengthen communication signal"", ""Enter no-fly zone briefly to reduce path complexity""]","Maintaining mission integrity while ensuring safety requires reliance on onboard sensors during communication loss. Continuing with local autonomy avoids collisions, respects geofence and separation constraints, and sustains search efficacy. Other options violate altitude bounds, airspace laws, or increase risk to people and assets." 2025-11-01T17:58:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Thermal_Soaring_in_Harbor_Sandstorm_5594dc330154_mcq.json,uavbench-mcq-v1,Glider_Thermal_Soaring_in_Harbor_Sandstorm,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,A,False,UAV must extend endurance during 30s GNSS jamming in 13.5 m/s winds with sandstorm sensor stress and thermal updrafts available.,"Fixed-wing UAV conducts a thermal soaring survey mission in a harbor environment. The airspace is constrained between 10 and 120 meters AGL with a defined polygonal geofence. Strong winds up to 13.5 m/s increase with altitude and shift direction, complicating flight control. A sandstorm reduces visibility and introduces severe environmental stress on sensors and navigation. The UAV leverages radar, RGB, and thermal cameras for payload operations amid poor visual conditions. GNSS multipath and electromagnetic interference degrade positioning accuracy. A static no-fly zone and a moving no-fly cylinder require dynamic path adjustments. Another UAV and a drifting spherical obstacle create collision risks within the corridor mission. GNSS jamming occurs mid-mission, lasting 30 seconds, challenging navigation resilience. The mission requires runway-aligned takeoff and landing, with thermal updrafts aiding energy conservation.",Climb to 120m using thermal updrafts to save energy and reassess navigation,Descend to 10m AGL to avoid wind and conserve battery with minimal climb,Activate all cameras at full resolution for obstacle detection during jamming,Hover in place using autopilot until GNSS signal recovers to ensure safety,Increase airspeed by 20% to exit jamming zone quickly and reduce exposure,Switch to full radar mode and disable thermal to maintain situational awareness,Execute emergency landing at nearest point to preserve data and platform,"[""Climb to 120m using thermal updrafts to save energy and reassess navigation"", ""Descend to 10m AGL to avoid wind and conserve battery with minimal climb"", ""Activate all cameras at full resolution for obstacle detection during jamming"", ""Hover in place using autopilot until GNSS signal recovers to ensure safety"", ""Increase airspeed by 20% to exit jamming zone quickly and reduce exposure"", ""Switch to full radar mode and disable thermal to maintain situational awareness"", ""Execute emergency landing at nearest point to preserve data and platform""]","Climbing to 120m leverages stronger thermal updrafts for energy-neutral flight, offsetting wind challenges and preserving battery. It maintains mission continuity while using natural lift to reduce propulsion load. Other options either increase power use, reduce situational awareness, or terminate the mission prematurely under recoverable conditions." 2025-11-01T17:58:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Thermal_Soaring_in_Jungle_48c32cfddd74_mcq.json,uavbench-mcq-v1,Glider_Thermal_Soaring_in_Jungle,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Given 600s mission window, 2 thermal updrafts, and winds from 6.5 to 12.0 m/s, which strategy maximizes survey completion with limited battery?","This UAV mission involves a fixed-wing glider conducting a thermal soaring survey in a dense jungle environment. The glider is equipped with a battery-powered electric propulsion system and carries an RGB and thermal camera payload for environmental monitoring. It operates within a defined airspace polygon from 10 to 500 meters AGL, with a static no-fly zone near the start area and a moving no-fly zone drifting across the region. The jungle setting presents challenges including GNSS signal multipath, electromagnetic interference, and moderate signal jamming at -85 dBm. Winds increase with altitude, ranging from 6.5 m/s at ground level to 12.0 m/s at 500 m, with directional shear shifting from south to southwest. Two thermal updrafts are present, offering lift opportunities at specific waypoints to extend flight endurance. A single traffic UAV flies at 300 m altitude, requiring separation maintenance of at least 50 meters and a time-to-closest-point of less than 30 seconds to trigger alerts. The glider must complete a corridor-style waypoint mission within a 600-second time window, starting from an elevated position and aiming to land at a preferred site, with an emergency site available. Communication links experience two brief downlink loss windows, and flight performance is monitored for battery levels, NFZ proximity, geofence compliance, collision risks, and potential stalls.",Climb rapidly using full propulsion to reach 500 m,"Glide between updrafts, minimizing propulsion use",Descend continuously to reduce stall risk in shear,Circle in strongest updraft to extend endurance,"Fly direct at 300 m, avoiding wind shear layers",Use full camera power throughout for data quality,Ascend to 500 m and loiter until mission end,"[""Climb rapidly using full propulsion to reach 500 m"", ""Glide between updrafts, minimizing propulsion use"", ""Descend continuously to reduce stall risk in shear"", ""Circle in strongest updraft to extend endurance"", ""Fly direct at 300 m, avoiding wind shear layers"", ""Use full camera power throughout for data quality"", ""Ascend to 500 m and loiter until mission end""]","Gliding between updrafts leverages natural lift to conserve battery, enabling longer endurance within the 600s window. It balances mission progress and energy use while avoiding excessive propulsion. Other options waste power or sacrifice coverage and return capability." 2025-11-01T17:58:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Thermal_Soaring_in_Rural_Microburst_Risk_0953b48c97aa_mcq.json,uavbench-mcq-v1,Glider_Thermal_Soaring_in_Rural_Microburst_Risk,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"At 250 m AGL and 300 seconds into the mission, how should the UAV respond to a microburst while maintaining survey coverage and battery?","This is a glider UAV conducting a survey mission in rural airspace with a corridor flight pattern. The UAV is equipped with RGB and thermal cameras for payload, relying on battery power with a total capacity of 150 Wh. It operates between 30 and 300 meters AGL within a defined polygonal geofence. A no-fly zone cylinder is present near the center of the airspace, requiring careful navigation. The environment features increasing wind speed and shifting direction with altitude, posing dynamic flight challenges. Thermal updrafts are available at two locations to support soaring efficiency. There is a risk of microbursts, introducing sudden wind hazards that could impact stability. GNSS signals are strong with no multipath or jamming issues, and communication links remain mostly stable except for a planned 30-second loss at 300 seconds into the mission. The mission requires runway-aligned takeoff and landing, with a preferred landing site and one emergency option available.",Descend immediately to 30 m AGL to escape wind shear,Hold current altitude and increase airspeed by 15%,Climb to 300 m AGL for stable wind conditions,Turn toward nearest thermal updraft and reduce speed,Abort mission and proceed directly to emergency landing site,Execute 30-second glide perpendicular to wind vector,Follow original corridor pattern ignoring wind disturbance,"[""Descend immediately to 30 m AGL to escape wind shear"", ""Hold current altitude and increase airspeed by 15%"", ""Climb to 300 m AGL for stable wind conditions"", ""Turn toward nearest thermal updraft and reduce speed"", ""Abort mission and proceed directly to emergency landing site"", ""Execute 30-second glide perpendicular to wind vector"", ""Follow original corridor pattern ignoring wind disturbance""]","Turning toward the nearest thermal allows energy recovery and altitude preservation while reducing speed improves controllability in turbulence. This balances safety, energy efficiency, and mission continuity during the microburst. Other options either increase risk, waste energy, or violate timing due to communication loss at 300 seconds." 2025-11-01T17:58:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Thermal_Soaring_in_Rural_Rainy_Conditions_9ba014d344a7_mcq.json,uavbench-mcq-v1,Glider_Thermal_Soaring_in_Rural_Rainy_Conditions,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"In 10-min survey with 25m obstacle separation and 15s comms dropouts, which action ensures timely coverage and collision avoidance?","This is a survey mission conducted by a heavy-lift UAV in rural airspace with poor visibility due to rain and icing conditions. The UAV operates within a defined geofenced area, between 10 and 300 meters AGL, avoiding static and moving no-fly zones. Strong winds increase with altitude, shifting direction from 240° to 270°, and turbulence is heightened by gusts and thermal updrafts. The UAV is equipped with RGB and thermal cameras for payload sensing, powered by a large battery with significant reserve capacity. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference challenges navigation reliability. A dynamic no-fly zone and a moving spherical obstacle require real-time avoidance, with a separation threshold of 25 meters. Icing conditions occur mid-mission, reducing performance for one minute, and communication dropouts happen twice, lasting up to 15 seconds. The UAV must complete a corridor-style waypoint survey within 10 minutes, returning to its preferred landing site. Constraints include aerodynamic limitations, battery endurance, sensor degradation risks, and strict altitude and geofence compliance.",Ascend to 300m for faster transit,Delay takeoff until winds stabilize,"Maintain 100m AGL, staggered waypoint timing",Disable thermal cam to save power,"Fly direct path, ignoring gust shifts",Cluster near moving obstacle for tracking,Land immediately after icing,"[""Ascend to 300m for faster transit"", ""Delay takeoff until winds stabilize"", ""Maintain 100m AGL, staggered waypoint timing"", ""Disable thermal cam to save power"", ""Fly direct path, ignoring gust shifts"", ""Cluster near moving obstacle for tracking"", ""Land immediately after icing""]","Maintaining 100m AGL balances wind exposure and sensor performance while staggered timing accommodates communication dropouts. This ensures geofence compliance, preserves 25m separation from the moving obstacle, and sustains coordinated coverage without overloading battery or navigation systems. Other options violate altitude limits, timing, or safety margins." 2025-11-01T17:58:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Thermal_Soaring_in_Volcanic_Zone_with_Dust_5bddbb4a32ef_mcq.json,uavbench-mcq-v1,Glider_Thermal_Soaring_in_Volcanic_Zone_with_Dust,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,C,False,"Given GNSS jamming at -75 dBm and 8 m/s winds, which action ensures secure, stable flight during thermal soaring?","This UAV mission involves thermal soaring with a fixed-wing solar glider in a volcanic zone. The flight occurs within a defined polygonal airspace with a minimum altitude of 50 meters and a maximum of 600 meters AGL. Weather conditions include moderate winds at 8 m/s increasing with altitude, gusts up to 4.5 m/s, poor visibility due to dust, and active thermal updrafts. The UAV is equipped with RGB and thermal cameras for survey operations, relying on battery power with a 450 Wh capacity. Key constraints include a static no-fly zone around a central hazard and a moving no-fly zone drifting northwest. GNSS performance is degraded due to multipath effects and electromagnetic interference, with a jamming signal at -75 dBm. The UAV must maintain separation from another traffic drone and avoid a moving spherical obstacle. Communication links experience brief outages during the flight, affecting uplink and downlink quality. The mission requires a runway for landing and follows a corridor survey pattern with five waypoints. Success depends on efficient energy use, thermal updraft utilization, and adherence to airspace and separation constraints.",Rely solely on GNSS for navigation despite jamming,Disable encryption to reduce communication latency,Switch to INS with periodic camera-aided position verification,Increase control loop frequency using unverified sensor data,Transmit unencrypted telemetry to maintain link stability,Accept external waypoint updates without authentication,Use thermal camera data to spoof GPS internally,"[""Rely solely on GNSS for navigation despite jamming"", ""Disable encryption to reduce communication latency"", ""Switch to INS with periodic camera-aided position verification"", ""Increase control loop frequency using unverified sensor data"", ""Transmit unencrypted telemetry to maintain link stability"", ""Accept external waypoint updates without authentication"", ""Use thermal camera data to spoof GPS internally""]","INS maintains control stability during GNSS outages while camera verification ensures position integrity. This preserves confidentiality and availability without introducing spoofing risks. Other options compromise authentication, data integrity, or enable unauthorized control." 2025-11-01T17:58:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Thermal_Soaring_in_Volcanic_Zone_with_Gusts_199b3de735d7_mcq.json,uavbench-mcq-v1,Glider_Thermal_Soaring_in_Volcanic_Zone_with_Gusts,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"Glider must survey volcanic zone at 300 m AGL with 14 m/s winds, thermal updrafts, and 10-minute time limit. How to proceed?","This mission involves a fixed-wing glider conducting a survey in a volcanic zone with strong winds and frequent gusts. The airspace is bounded between 50 and 400 meters AGL, featuring a static no-fly cylinder and a moving restricted zone. Thermal updrafts are present at two locations, which the glider can exploit for energy-efficient soaring. Wind speed increases with altitude, ranging from 8.5 m/s at ground level to 14 m/s at 300 meters, with directional shear. The UAV carries an RGB and thermal camera payload for data collection, relying on battery power with a 30% reserve requirement. GNSS signals suffer from multipath effects and moderate jamming, with a simulated jamming fault occurring mid-mission. A second UAV and a moving spherical obstacle create dynamic collision risks, requiring separation monitoring. The mission requires runway-aligned landing, with preferred and emergency landing sites designated. Communication experiences a brief dropout window, and the glider must complete its waypoint corridor within a 10-minute time budget.",Climb to 400 m AGL to avoid gusts and extend range,Descend to 50 m AGL to reduce wind exposure and save energy,Use thermal updrafts to maintain altitude and conserve battery,Divert to emergency landing due to GNSS jamming fault,Accelerate through waypoint corridor at maximum airspeed,Fly direct path through moving restricted zone to save time,Land immediately to prevent collision with spherical obstacle,"[""Climb to 400 m AGL to avoid gusts and extend range"", ""Descend to 50 m AGL to reduce wind exposure and save energy"", ""Use thermal updrafts to maintain altitude and conserve battery"", ""Divert to emergency landing due to GNSS jamming fault"", ""Accelerate through waypoint corridor at maximum airspeed"", ""Fly direct path through moving restricted zone to save time"", ""Land immediately to prevent collision with spherical obstacle""]","Using thermal updrafts conserves battery while staying within 50–400 m AGL limits and maintaining progress within the time budget. It avoids risks of excessive wind at higher altitudes and GNSS degradation near the ground. Other options either breach airspace, waste energy, or abandon mission without justification." 2025-11-01T17:58:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_VTOL_Transition_Test_in_Offshore_Icing_Conditions_48d69d312ae0_mcq.json,uavbench-mcq-v1,Glider_VTOL_Transition_Test_in_Offshore_Icing_Conditions,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 15 m/s winds, 12/15s VTOL transitions, and 1-minute icing at 200s, which strategy maximizes inspection time within energy limits?","This scenario involves a glider-type UAV conducting an inspection mission with VTOL transition capabilities in offshore airspace near an industrial platform. The UAV operates within a defined polygonal airspace bounded between 10 and 300 meters AGL, featuring a static no-fly zone around a central cylinder and a moving no-fly zone drifting at 3.6 m/s. Weather conditions include strong winds up to 15 m/s increasing with altitude, poor visibility, and hazardous icing conditions that impact aerodynamics. The UAV is equipped with standard navigation sensors (GNSS, IMU, magnetometer, barometer) and an RGB camera payload but lacks LiDAR or radar. GNSS signals are degraded by multipath effects and moderate jamming at -95 dBm, compounded by electromagnetic interference. The mission requires transitioning from vertical to fixed-wing flight and back, with specific timing profiles of 12 and 15 seconds respectively. A traffic UAV crosses the area at constant speed and altitude, requiring separation assurance with a 50-meter minimum threshold. The UAV must avoid both static and dynamic obstacles, including a moving sphere obstacle and thermal updrafts near the route. Communication experiences two brief downlink loss windows, and an icing fault event occurs at 200 seconds, reducing performance for one minute. The mission concludes with a runway landing requirement aligned with a 350-meter threshold on a 280-degree heading.",Climb rapidly to 300m for steady winds and optimal glide efficiency,Delay fixed-wing transition to conserve energy in turbulent lower zone,Reduce camera frame rate to save power during icing-induced drag,Fly direct path through drifting no-fly zone to minimize exposure,Increase throttle to 90% to ensure on-time arrival despite headwinds,Circle in thermal updrafts using minimal power to extend endurance,Maintain full camera operation and accept reduced margin for delays,"[""Climb rapidly to 300m for steady winds and optimal glide efficiency"", ""Delay fixed-wing transition to conserve energy in turbulent lower zone"", ""Reduce camera frame rate to save power during icing-induced drag"", ""Fly direct path through drifting no-fly zone to minimize exposure"", ""Increase throttle to 90% to ensure on-time arrival despite headwinds"", ""Circle in thermal updrafts using minimal power to extend endurance"", ""Maintain full camera operation and accept reduced margin for delays""]",Reducing camera power during icing preserves energy when propulsion efficiency drops due to aerodynamic degradation. It balances payload operation with critical endurance needs under performance loss. Other options either increase energy use or violate safety and constraint adherence. 2025-11-01T17:58:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_VTOL_Transition_Test_in_Mountainous_Airspace_b567d2a33016_mcq.json,uavbench-mcq-v1,Glider_VTOL_Transition_Test_in_Mountainous_Airspace,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"Glider UAV must survey 5 waypoints in 600s, avoid NFZ, 50m separation, and handle 6 m/s wind at 240°.","This is a glider UAV mission conducting a survey in mountainous terrain. The flight occurs within a defined airspace polygon with an altitude range from 100 to 800 meters AGL. Weather includes a 6 m/s wind from 240 degrees with moderate gusts up to 3.5 m/s and good visibility. The UAV is a battery-powered glider equipped with a camera payload and standard navigation sensors but lacks LIDAR and thermal imaging. A no-fly zone cylinder is present near the center of the area, requiring careful path planning to avoid. The mission involves transitioning along a corridor pattern between five waypoints under a 600-second time budget. There is conflicting traffic from another UAV moving westward at 18 m/s and a moving spherical obstacle drifting left. GNSS signal may experience brief dropouts during two short comms loss windows. Collision avoidance is monitored using a 50-meter separation threshold and a 30-second time-to-closest approach limit. The UAV must maintain safe distances from terrain, obstacles, and NFZs while avoiding stalls and preserving battery reserves for landing.","Climb to 750m AGL, proceed direct to WPT3","Descend to 110m AGL, follow ridge line east","Divert to alternate route at 600m AGL, delay WPT4","Accelerate to 22 m/s toward WPT2, ignore gusts",Hold position at 400m AGL until traffic passes,Descend rapidly toward 90m AGL to evade obstacle,"Proceed to WPT1 at 18 m/s, maintain 500m AGL","[""Climb to 750m AGL, proceed direct to WPT3"", ""Descend to 110m AGL, follow ridge line east"", ""Divert to alternate route at 600m AGL, delay WPT4"", ""Accelerate to 22 m/s toward WPT2, ignore gusts"", ""Hold position at 400m AGL until traffic passes"", ""Descend rapidly toward 90m AGL to evade obstacle"", ""Proceed to WPT1 at 18 m/s, maintain 500m AGL""]","Proceeding to WPT1 at 18 m/s and 500m AGL maintains terrain clearance, respects the 100–800m AGL band, and avoids early NFZ proximity. It preserves battery and time while staying clear of conflicting traffic and the drifting obstacle. Other options violate minimum AGL, increase collision risk, or squander the time budget." 2025-11-01T17:58:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Night_Ops_with_Icing_-_Heavy_Lift_UAV_d1946fd05367_mcq.json,uavbench-mcq-v1,Coastal_Night_Ops_with_Icing_-_Heavy_Lift_UAV,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,G,G,True,"Heavy lift UAV with 12 kg payload faces 2-minute icing, GNSS issues, and 600-second limit in coastal night flight.","Heavy lift UAV conducting a night-time delivery mission in coastal airspace. Flight occurs within a defined corridor between 10 and 180 meters AGL, bounded by static and moving no-fly zones. The environment features poor visibility and icing conditions, with wind increasing in speed and shifting direction with altitude. The UAV is equipped with GNSS, IMU, lidar, RGB and thermal cameras, but faces GNSS multipath, jamming, and electromagnetic interference. A dynamic no-fly zone and a moving obstacle drift through the airspace, requiring real-time avoidance. The mission must be completed within 600 seconds, with strict separation and time-to-collision thresholds for deconfliction. An icing event occurs mid-mission, degrading performance for two minutes. Communication dropouts are expected at specific intervals, with low signal strength possible throughout. The UAV carries a 12 kg payload and must navigate to a preferred landing site while avoiding a conflicting traffic UAV. Battery endurance and sensor reliability are critical due to environmental and operational stresses.",Climb to 200 m for better GNSS signal and wind stability,Descend to 10 m AGL to minimize wind exposure and save power,Activate all sensors continuously for maximum obstacle detection,Shut down thermal camera to reduce power use and extend endurance,Increase speed to 15 m/s to ensure timely mission completion,Reroute via longer path at constant 180 m to avoid moving obstacle,"Reduce speed, optimize sensor cycles, and descend to 50 m AGL","[""Climb to 200 m for better GNSS signal and wind stability"", ""Descend to 10 m AGL to minimize wind exposure and save power"", ""Activate all sensors continuously for maximum obstacle detection"", ""Shut down thermal camera to reduce power use and extend endurance"", ""Increase speed to 15 m/s to ensure timely mission completion"", ""Reroute via longer path at constant 180 m to avoid moving obstacle"", ""Reduce speed, optimize sensor cycles, and descend to 50 m AGL""]",Balances energy conservation and safety by reducing aerodynamic drag and power load through adaptive sensor use. Maintains clearance from obstacles and avoids high-wind altitudes. Ensures mission completion within battery and time limits while managing icing effects. 2025-11-01T17:58:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Gliding_Corridor_Patrol_under_Low_Visibility_a1ff664f2018_mcq.json,uavbench-mcq-v1,Gliding_Corridor_Patrol_under_Low_Visibility,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"At 320s, icing reduces performance; UAV must survey corridors between 30–150m AGL, avoid NFZ, and land within 600s despite GNSS drift and wind shear.","This scenario involves a glider UAV conducting a corridor survey mission near an airport perimeter. The UAV operates within a restricted airspace corridor between 30 and 150 meters AGL, bounded by a polygonal geofence. Poor visibility and icing conditions are present, with wind increasing from 7 m/s at ground level to 13 m/s at 200 meters, shifting direction with altitude. The glider is equipped with standard navigation sensors, LiDAR, and an RGB camera, relying solely on battery power. A no-fly zone cylinder is located near the center of the airspace, requiring careful path planning to avoid. The mission must be completed within 600 seconds and requires use of a designated runway for approach and landing. GNSS signals are degraded by multipath effects and moderate jamming, while electromagnetic interference further challenges avionics. An icing event fault is triggered at 320 seconds, reducing performance for one minute. A single intruding UAV and a moving spherical obstacle add dynamic collision risks, with strict separation and time-to-collision thresholds enforced.","Climb to 180m to escape icing, continue surveying eastward",Descend below 30m AGL to avoid wind shear and NFZ,Hold position at reduced speed until icing clears at 380s,"Deviate west, maintain 120m AGL, reroute around NFZ and sphere",Proceed direct through NFZ to save time for landing phase,"Turn north immediately, exit corridor, return via outer polygon","Descend to 40m AGL, reduce turn radius, track parallel to obstacle","[""Climb to 180m to escape icing, continue surveying eastward"", ""Descend below 30m AGL to avoid wind shear and NFZ"", ""Hold position at reduced speed until icing clears at 380s"", ""Deviate west, maintain 120m AGL, reroute around NFZ and sphere"", ""Proceed direct through NFZ to save time for landing phase"", ""Turn north immediately, exit corridor, return via outer polygon"", ""Descend to 40m AGL, reduce turn radius, track parallel to obstacle""]","Option D maintains safe altitude (120m AGL) within corridor bounds, avoids NFZ and moving obstacle with sufficient separation, and allows adaptive re-routing within time and energy limits. It accounts for GNSS drift by using LiDAR-relative navigation near obstacles while preserving time-to-go for runway approach. Other options violate AGL limits, breach NFZ, or fail to complete mission in 600s." 2025-11-01T17:58:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Gliding_Relay_in_Snowy_Wind_Farm_e38de869c021_mcq.json,uavbench-mcq-v1,Gliding_Relay_in_Snowy_Wind_Farm,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 230m AGL in snow, a glider faces a 1-min icing event while a traffic UAV approaches on collision course within 90 seconds.","The mission is a UAV glider relay operation within a wind farm environment. The airspace is restricted between 20 and 250 meters AGL, with a static no-fly zone around a central turbine and a moving no-fly zone drifting southwest. Weather conditions include strong winds up to 15 m/s increasing with altitude, snowfall, poor visibility, and icing conditions that impact aerodynamics. The UAV is an electric-powered glider equipped with an RGB camera and standard navigation sensors but lacks LiDAR and thermal imaging. Key constraints include GNSS multipath errors, electromagnetic interference, and moderate GNSS jamming. The glider must follow a corridor patrol pattern connecting five waypoints while maintaining separation from other UAVs and obstacles. A three-UAV swarm operates cooperatively with leader, relay, and scout roles, requiring at least 50 meters inter-UAV separation. One traffic UAV flies on a collision course, and a moving spherical obstacle drifts through the airspace, demanding dynamic avoidance. An icing event occurs mid-mission, reducing performance for one minute, while communication dropouts briefly interrupt uplink/downlink.",Continue patrol; rely on swarm separation,Descend to 18m AGL to avoid icing and traffic,Climb above 250m AGL for smoother air,Abort mission and land immediately,"Evasive right turn, maintain 230m altitude",Hold position until traffic clears,Request override to fly through central turbine zone,"[""Continue patrol; rely on swarm separation"", ""Descend to 18m AGL to avoid icing and traffic"", ""Climb above 250m AGL for smoother air"", ""Abort mission and land immediately"", ""Evasive right turn, maintain 230m altitude"", ""Hold position until traffic clears"", ""Request override to fly through central turbine zone""]","Safety requires aborting when icing degrades control and collision risk rises within 90 seconds. Continuing violates flight ceiling, obstacle, and separation rules. Landing prioritizes human safety and asset protection over mission continuity despite communication dropouts." 2025-11-01T17:58:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Gliding_Survey_in_Sandstorm_0dbc61c14362_mcq.json,uavbench-mcq-v1,Gliding_Survey_in_Sandstorm,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 125 s, GNSS degrades and comms drop; UAV must maintain 15 m separation from traffic at 30 m with 10 s time-to-close.","This is a glider UAV conducting a survey mission in suburban airspace. The flight occurs under poor visibility due to an active sandstorm with strong 9 m/s winds from 240 degrees and 4.5 m/s gusts. The UAV is a battery-powered glider equipped with RGB camera and LiDAR payload, optimized for efficient lift-based flight. It operates within a 5–60 m AGL altitude band, confined by a rectangular geofence with a central no-fly cylinder zone (10 m radius, 5–30 m high). A traffic UAV approaches from outside the airspace, flying westbound at 12 m/s and 30 m altitude. A moving spherical obstacle drifts leftward at 2 m/s, posing a dynamic collision risk at mid-altitude. The mission follows a rectangular corridor pattern with four waypoints, requiring precise navigation within a 600-second time budget. GNSS and sensor performance may degrade due to sandstorm-induced multipath and reduced signal quality. Radio communication experiences brief downlink interruptions at 120–135 s and 400–410 s into the mission. The UAV must maintain 15 m separation from traffic with a 10-second time-to-close threshold to avoid DAA breaches.",Switch to encrypted INS with LiDAR terrain correlation,Continue GNSS-only navigation with open-loop control,Increase update rate using unauthenticated RF telemetry,Hover in place using last known unverified position,Transmit plaintext GPS fixes to ground for correction,Rely solely on RGB optical flow for lateral stabilization,Accept all waypoint updates via unsecured downlink,"[""Switch to encrypted INS with LiDAR terrain correlation"", ""Continue GNSS-only navigation with open-loop control"", ""Increase update rate using unauthenticated RF telemetry"", ""Hover in place using last known unverified position"", ""Transmit plaintext GPS fixes to ground for correction"", ""Rely solely on RGB optical flow for lateral stabilization"", ""Accept all waypoint updates via unsecured downlink""]",Encrypted INS preserves data integrity and availability during GNSS/comms loss. LiDAR correlation provides trusted altitude and position under sandstorm conditions. This maintains control stability and cyber-physical resilience against spoofing and jamming. 2025-11-01T17:58:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Gliding_Escort_in_Underground_Mine_with_Strong_Crosswind_e72b2b3015a0_mcq.json,uavbench-mcq-v1,Gliding_Escort_in_Underground_Mine_with_Strong_Crosswind,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Plan route with 9.5 m/s crosswinds, 1-25 m AGL limits, and dynamic NFZ moving at 260° heading.","This is an inspection mission using a fixed-wing glider UAV inside an underground mine. The UAV carries an RGB camera and LiDAR payload for visual and spatial data collection. Strong crosswinds up to 9.5 m/s create challenging flight conditions, with wind direction shifting from 240° to 260° as altitude increases. The enclosed airspace restricts flight between 1 and 25 meters AGL within a defined polygon boundary. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves through the environment, requiring real-time avoidance. GNSS signals suffer from multipath interference and jamming, limiting reliable positioning and requiring sensor fusion with IMU and barometer. A single traffic UAV and a moving spherical obstacle add collision risks, with separation thresholds set at 10 meters and 5 seconds TTC. Communication is partially disrupted with two uplink loss windows, challenging remote control. The glider must complete its waypoint corridor pattern within 600 seconds while managing battery reserves and maintaining safe flight.",Fly direct between waypoints below 1 m AGL,Climb above 25 m AGL to avoid obstacle,Deviate laterally maintaining 15 m AGL and 240°,Descend to 1 m AGL near dynamic NFZ,Reroute opposite wind shift to save battery,Hold position until moving obstacle clears path,Follow central static NFZ edge to shorten path,"[""Fly direct between waypoints below 1 m AGL"", ""Climb above 25 m AGL to avoid obstacle"", ""Deviate laterally maintaining 15 m AGL and 240°"", ""Descend to 1 m AGL near dynamic NFZ"", ""Reroute opposite wind shift to save battery"", ""Hold position until moving obstacle clears path"", ""Follow central static NFZ edge to shorten path""]","Option C maintains safe 15 m AGL within allowable band, avoids dynamic NFZ with lateral deviation, and aligns with prevailing 240–260° wind shift for efficient drift compensation. Other options violate AGL limits, penetrate NFZs, or induce excessive loitering or routing delays under sensor uncertainty and communication loss." 2025-11-01T17:58:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Gliding_Thermal_Updrafts_at_Airport_Perimeter_e93ede318546_mcq.json,uavbench-mcq-v1,Gliding_Thermal_Updrafts_at_Airport_Perimeter,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,F,False,Glider UAV must reach waypoint 4 in 420s while avoiding a moving obstacle at 1.5 m/s south and intruder at 12 m/s eastbound near airport.,"This is a glider UAV conducting a survey mission along a corridor pattern near an airport perimeter. The airspace restricts flight between 30 and 120 meters AGL within a defined polygon, with static and moving no-fly zones. Two thermal updrafts are present, offering vertical lift of up to 3.5 m/s, which the glider can exploit for energy-efficient flight. Weather includes a steady 6 m/s wind from 180° and gusts up to 3 m/s, with good visibility and no adverse phenomena. The UAV is battery-powered with a 150 Wh capacity and carries a 0.3 kg RGB camera payload. It is equipped with standard navigation sensors including GNSS, IMU, barometer, and magnetometer, but lacks thermal or radar sensors. A dynamic no-fly zone moves westward at 2 m/s, requiring real-time avoidance, while separation from other traffic must be maintained above 25 meters. The mission begins at (150,150,50) and includes five waypoints, ending near the runway threshold for potential landing. A single intruder UAV flies eastbound at 12 m/s, and a moving spherical obstacle drifts south at 1.5 m/s. The glider must complete the survey within 600 seconds while avoiding stalls, geofence breaches, and collisions.",Proceed directly; predicted separation exceeds 30 m,Climb to 110 m AGL using thermal updraft for better view,Descend to 25 m AGL to reduce wind effects and save power,Abort survey and land immediately due to traffic density,Fly below 30 m AGL to evade dynamic no-fly zone movement,Delay mission segment by orbiting in thermal updraft safely,Eject camera payload to gain glide efficiency and speed,"[""Proceed directly; predicted separation exceeds 30 m"", ""Climb to 110 m AGL using thermal updraft for better view"", ""Descend to 25 m AGL to reduce wind effects and save power"", ""Abort survey and land immediately due to traffic density"", ""Fly below 30 m AGL to evade dynamic no-fly zone movement"", ""Delay mission segment by orbiting in thermal updraft safely"", ""Eject camera payload to gain glide efficiency and speed""]","Orbiting in the thermal updraft maintains altitude without power, avoids collision risks, and complies with airspace rules. It delays the mission but preserves safety, legality, and equipment. Other options risk geofence violation, reduced separation, or unethical payload loss." 2025-11-01T17:58:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Gliding_Touch_and_Go_in_Mountainous_Hail_Conditions_52c238b6b190_mcq.json,uavbench-mcq-v1,Gliding_Touch_and_Go_in_Mountainous_Hail_Conditions,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which UAV configuration best handles 15 m/s winds at 270°, GNSS jamming at -85 dBm, and icing with no radar?","Mission involves a glider UAV performing a runway touch-and-go maneuver in mountainous terrain. The flight occurs in poor visibility with active hail and strong, gusty winds increasing with altitude. Winds shift from 8.5 m/s at 240° at ground level to 15 m/s at 270° at 600 meters altitude. The UAV is a battery-powered glider equipped with RGB camera payload and standard sensors, but no lidar or radar. GNSS signals suffer from multipath effects and moderate jamming at -85 dBm, with electromagnetic interference present. A static no-fly zone and a moving no-fly cylinder challenge navigation, requiring dynamic avoidance. The operational airspace is bounded between 100 and 800 meters AGL within a defined polygon geofence. An icing event occurs mid-mission, reducing aerodynamic efficiency for one minute. Communications experience a brief downlink loss between 450 and 470 seconds of flight. Traffic includes one other UAV and a moving spherical obstacle, with DAA system monitoring separation.",Fixed-wing with IR camera and dual GNSS receivers,Glider with RGB camera and lightweight aerodynamic de-icing,Quadcopter with radar and active wind compensation,Glider with lidar and increased battery mass,Fixed-wing with mechanical gust alleviation system,Glider relying solely on GNSS and camera-based optical flow,Hybrid VTOL with electromagnetic-hardened comms,"[""Fixed-wing with IR camera and dual GNSS receivers"", ""Glider with RGB camera and lightweight aerodynamic de-icing"", ""Quadcopter with radar and active wind compensation"", ""Glider with lidar and increased battery mass"", ""Fixed-wing with mechanical gust alleviation system"", ""Glider relying solely on GNSS and camera-based optical flow"", ""Hybrid VTOL with electromagnetic-hardened comms""]","The glider with RGB camera matches the described payload and leverages natural wind for efficiency in gusty conditions. Lightweight de-icing maintains aerodynamic performance during the one-minute icing event without added power draw. Other options either add unnecessary mass, depend on absent sensors like lidar, or fail under GNSS degradation and power constraints." 2025-11-01T17:58:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HALE_Desert_Inspection_Mission_77733b67ea8c_mcq.json,uavbench-mcq-v1,HALE_Desert_Inspection_Mission,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"At 3,000 m AGL, wind is 16 m/s from west; UAV faces GNSS faults and static/dynamic NFZs. What action minimizes risk while maintaining mission progress?","High-altitude long-endurance UAV conducts desert infrastructure inspection using thermal and RGB cameras plus radar. Mission takes place in a designated desert airspace with a maximum altitude of 4,500 meters AGL and a minimum of 100 meters. Persistent dust and sandstorm conditions reduce visibility and increase sensor degradation risk. The UAV is a battery-powered high-altitude pseudo-satellite with efficient aerodynamics and long endurance. Payload includes thermal and visual imaging systems, optimized for remote inspection tasks. GNSS multipath and electromagnetic interference are present, with planned GNSS jamming faults and communication downlink losses. A static no-fly zone and a moving dynamic no-fly zone require real-time path planning adjustments. Thermal updrafts at multiple locations can assist lift but complicate altitude control. Wind increases with altitude, shifting direction and reaching 16 m/s from the west at 3,000 meters. The mission includes five waypoints with orbit patterns, requiring precise navigation despite sensor and communication faults.","Climb to 4,400 m AGL for smoother airflow and better line-of-sight","Descend to 1,200 m AGL to reduce wind load and sensor degradation","Maintain 3,000 m AGL and increase forward speed to stabilize flight",Descend to 100 m AGL to avoid wind and conserve battery energy,Divert to nearest runway despite incomplete waypoint orbit,"Enter orbit at 2,800 m AGL and await GNSS signal recovery",Use thermal updrafts to gain altitude and bypass dynamic NFZ early,"[""Climb to 4,400 m AGL for smoother airflow and better line-of-sight"", ""Descend to 1,200 m AGL to reduce wind load and sensor degradation"", ""Maintain 3,000 m AGL and increase forward speed to stabilize flight"", ""Descend to 100 m AGL to avoid wind and conserve battery energy"", ""Divert to nearest runway despite incomplete waypoint orbit"", ""Enter orbit at 2,800 m AGL and await GNSS signal recovery"", ""Use thermal updrafts to gain altitude and bypass dynamic NFZ early""]","Descending to 1,200 m AGL reduces exposure to high wind and sensor degradation while staying above minimum altitude. It avoids NFZs, maintains endurance, and mitigates GNSS faults through lower-speed flight. Other options violate altitude limits, increase risk, or waste energy." 2025-11-01T17:58:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HALE_Corridor_Follow_Offshore_57b6458a4fd2_mcq.json,uavbench-mcq-v1,HALE_Corridor_Follow_Offshore,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 800 m AGL, westerly wind increases with altitude; UAV must avoid a drifting spherical obstacle. What action maintains energy margin and obstacle clearance?","High-altitude pseudo-satellite UAV conducts offshore inspection mission along a predefined corridor. Flight occurs in controlled offshore platform airspace with altitude limits between 200 and 1200 meters AGL. Mission takes place under good visibility with westerly winds increasing with altitude, gusts up to 4 m/s, and thermal updrafts present. UAV is battery-powered, fixed-wing type with radar, RGB, and thermal imaging payload for surveillance. Notable constraints include GNSS multipath effects, electromagnetic interference, and moderate GNSS jamming at -85 dBm. A static no-fly zone surrounds a central platform, and a dynamic no-fly zone moves southwest at 2.5 m/s. The UAV must avoid a moving spherical obstacle drifting west and maintain separation from other air traffic. Communication experiences brief uplink/downlink outages between 120–135 and 450–465 seconds. Flight duration is limited to 600 seconds, with battery reserve set at 30% for safe return. Mission success depends on waypoint navigation, geofence compliance, and maintaining safe DAA thresholds.",Increase airspeed by 15% to reduce angle of attack,Descend to 600 m AGL to escape gusts and updrafts,Bank 35° left maintaining current thrust setting,"Reduce throttle, allowing descent at constant AoA",Pitch up 6° to gain lift without changing airspeed,"Hold level flight, accepting higher induced drag","Turn right with 25° bank, increasing angle of attack","[""Increase airspeed by 15% to reduce angle of attack"", ""Descend to 600 m AGL to escape gusts and updrafts"", ""Bank 35° left maintaining current thrust setting"", ""Reduce throttle, allowing descent at constant AoA"", ""Pitch up 6° to gain lift without changing airspeed"", ""Hold level flight, accepting higher induced drag"", ""Turn right with 25° bank, increasing angle of attack""]","Increasing airspeed reduces angle of attack, decreasing induced drag and improving lift-to-drag ratio. This enhances energy margin and obstacle clearance while maintaining control in gusts. Other choices either exceed structural limits, increase drag, or risk stall at high altitude." 2025-11-01T17:58:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HALE_Warehouse_Indoor_Microburst_Recon_3d7d36405a12_mcq.json,uavbench-mcq-v1,HALE_Warehouse_Indoor_Microburst_Recon,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 310s, GNSS jamming and downlink loss occur at 12m AGL in a 15m warehouse with 8 m/s winds and a 5m separation threshold.","High-altitude pseudo-satellite UAV conducts indoor warehouse reconnaissance using a grid pattern. Mission takes place inside a confined warehouse with a maximum altitude of 15 meters AGL. Winds are from the west at 8 m/s with gusts up to 4 m/s and a risk of microbursts. UAV is fixed-wing type with battery power, equipped with GNSS, IMU, lidar, and RGB camera payload. Flight is constrained by a central cylindrical no-fly zone and a rectangular geofence boundary. A second UAV and a moving spherical obstacle create dynamic collision risks. GNSS jamming fault occurs at 300 seconds, lasting 45 seconds with high severity. Communication experiences a 45-second downlink loss window between 280 and 325 seconds. Separation threshold is 5 meters with a time-to-collision alert at 5 seconds. Mission requires runway use and must complete within 600 seconds while avoiding all constraints.",Continue grid pattern using IMU and lidar,Climb to 15m for better signal clearance,Descend immediately to floor level,Eject battery to reduce collision mass,Fly toward the cylindrical no-fly zone center,Hover in place until communications restore,Abort mission and navigate to runway,"[""Continue grid pattern using IMU and lidar"", ""Climb to 15m for better signal clearance"", ""Descend immediately to floor level"", ""Eject battery to reduce collision mass"", ""Fly toward the cylindrical no-fly zone center"", ""Hover in place until communications restore"", ""Abort mission and navigate to runway""]","Human safety and airspace integrity take priority over mission completion. Only aborting ensures compliance with collision avoidance, geofence, and emergency response protocols under sensor degradation. Continuing risks undetected collision with dynamic obstacles during critical navigation failure." 2025-11-01T17:58:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_BVLOS_DenseUrban_Hail_Test_6c9470bc1d0d_mcq.json,uavbench-mcq-v1,HAPS_BVLOS_DenseUrban_Hail_Test,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,"Which path avoids NFZs, maintains 50m separation, and completes the 600s grid survey with 16 m/s winds and 60s icing?","This is a BVLOS survey mission conducted by a high-altitude pseudo-satellite UAV in dense urban airspace. The UAV operates between 150 and 600 meters AGL within a defined rectangular geofence. Weather conditions include strong winds up to 16 m/s, poor visibility, and active hail, with wind increasing and shifting direction at higher altitudes. The UAV is battery-powered and equipped with radar, RGB camera, GNSS, IMU, magnetometer, and barometer, but lacks lidar and thermal imaging. It carries a 5 kg payload and must avoid two no-fly zones, one static and one moving dynamically through the airspace. Notable constraints include GNSS multipath, moderate jamming at -75 dBm, electromagnetic interference, and temporary uplink loss. A moving spherical obstacle and another UAV traffic participant require active separation management with a 50-meter minimum distance threshold. The mission includes a simulated icing event lasting 60 seconds that degrades performance, and communication suffers two downlink loss windows. The UAV must complete a grid survey pattern within 600 seconds while managing battery reserves and adhering to strict airspace and safety constraints.","Direct diagonal ascent to 600m, straight grid run north to south","Fly east at 150m, delay ascent until clear of moving NFZ","Climb rapidly to 500m, route clockwise around both NFZs",Descend to 100m AGL to reduce wind impact and GNSS multipath,Hold position at 300m until moving obstacle exits geofence,Shift survey start point west to bypass jamming zone early,"Proceed southwest at 400m, adjust heading every 30s for drift","[""Direct diagonal ascent to 600m, straight grid run north to south"", ""Fly east at 150m, delay ascent until clear of moving NFZ"", ""Climb rapidly to 500m, route clockwise around both NFZs"", ""Descend to 100m AGL to reduce wind impact and GNSS multipath"", ""Hold position at 300m until moving obstacle exits geofence"", ""Shift survey start point west to bypass jamming zone early"", ""Proceed southwest at 400m, adjust heading every 30s for drift""]","Starting west avoids moderate jamming and preserves battery by minimizing GNSS reacquisition latency. It enables timely survey completion within 600s while maintaining separation from dynamic obstacles. Other options either breach AGL limits, delay critical waypoints, or increase exposure to wind and NFZs." 2025-11-01T17:58:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_BVLOS_Dust_Test_d1dece86abd3_mcq.json,uavbench-mcq-v1,HAPS_BVLOS_Dust_Test,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV system best handles BVLOS survey at 1,000–7,000 m AGL with GNSS jamming, wind shear, and 30% battery reserve?","This is a BVLOS survey mission using a high-altitude pseudo-satellite UAV near an airport perimeter. The UAV operates between 1,000 and 7,000 meters AGL within a defined polygonal geofence. It carries a multi-sensor payload including radar, RGB and thermal cameras, relying on battery power with a 30% reserve. The environment features poor visibility due to dust and hail, with strong winds increasing with altitude and wind shear across layers. Thermal plumes are present at two locations, offering potential lift. GNSS signals suffer from multipath and jamming, and electromagnetic interference is present, with a simulated GNSS jamming fault occurring mid-mission. A cylindrical no-fly zone blocks part of the airspace, and the UAV must avoid a moving spherical obstacle. The mission requires runway access and includes a transition from hover to fixed-wing flight. Communication suffers from intermittent downlink outages, affecting data transmission. The UAV must complete a grid survey within 600 seconds while maintaining separation from traffic and obstacles.",Fixed-wing with GNSS-only navigation and no wind compensation,Quadcopter with thermal avoidance and no radar,Hybrid VTOL with INS/GPS fusion and pitot-static wind estimation,Solar-powered HAPS with no obstacle detection,Fixed-wing with radar but no thermal sensing,Multirotor with RF backup but 40% battery reserve,Glider using thermal lift but no active propulsion,"[""Fixed-wing with GNSS-only navigation and no wind compensation"", ""Quadcopter with thermal avoidance and no radar"", ""Hybrid VTOL with INS/GPS fusion and pitot-static wind estimation"", ""Solar-powered HAPS with no obstacle detection"", ""Fixed-wing with radar but no thermal sensing"", ""Multirotor with RF backup but 40% battery reserve"", ""Glider using thermal lift but no active propulsion""]","Hybrid VTOL enables hover-to-fixed-wing transition and operates efficiently across altitudes. INS/GPS fusion maintains navigation during GNSS jamming, while wind estimation counters shear. It balances payload, fault tolerance, and energy use within mission constraints." 2025-11-01T17:58:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_BVLOS_WindFarm_Hail_2c8b2552f913_mcq.json,uavbench-mcq-v1,HAPS_BVLOS_WindFarm_Hail,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"UAV faces 60s icing, -85 dBm RSSI, and 100–1200m AGL limits during BVLOS wind farm survey. Maximize data return with minimal energy risk?","High-altitude pseudo-satellite UAV conducts a BVLOS wind farm survey mission. Operating within a designated airspace bounded by polygons and altitude limits from 100 to 1200 meters AGL. Mission takes place in poor visibility with active hail and strong, gusty winds increasing with altitude. UAV equipped with radar, RGB and thermal cameras for remote sensing in adverse weather. Faces significant GNSS challenges including multipath, jamming at -75 dBm, and electromagnetic interference. Must avoid static and moving no-fly zones, including a dynamic cylinder drifting westward. Encounters traffic from another UAV and a moving spherical obstacle along the flight path. Experiences an icing event lasting 60 seconds, reducing aerodynamic efficiency and increasing weight. Communication links suffer brief dropouts, with minimal RSSI at -85 dBm affecting uplink/downlink. Mission constrained by tight time budget, battery reserve requirements, and separation thresholds for collision avoidance.",Climb to 1200m for better GNSS and line-of-sight,"Descend to 150m AGL, reduce speed, and shed thermal payload",Continue current altitude with full payload and max comms power,Enter loiter mode until icing event subsides completely,"Increase speed to exit hail zone faster, accepting higher drag",Transmit all data in real-time using full bandwidth,Deploy de-icing system and double camera resolution,"[""Climb to 1200m for better GNSS and line-of-sight"", ""Descend to 150m AGL, reduce speed, and shed thermal payload"", ""Continue current altitude with full payload and max comms power"", ""Enter loiter mode until icing event subsides completely"", ""Increase speed to exit hail zone faster, accepting higher drag"", ""Transmit all data in real-time using full bandwidth"", ""Deploy de-icing system and double camera resolution""]","Descending reduces exposure to stronger winds and icing severity while lowering power demand. Shedding the thermal payload conserves energy for critical systems during low-RSSI conditions. This balances safety, endurance, and essential data collection within battery reserve constraints." 2025-11-01T17:58:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HALE_GNSS_Spoofing_Indoor_Warehouse_Cold_309431287c8f_mcq.json,uavbench-mcq-v1,HALE_GNSS_Spoofing_Indoor_Warehouse_Cold,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 310s in icy conditions, 3 m/s wind, and GNSS spoofing, which action maintains safety, energy, and navigation integrity at (60,50)?","High-altitude pseudo-satellite UAV conducts an indoor warehouse survey mission in cold, icy conditions with moderate wind. The airspace is confined to a 100x80 meter indoor warehouse with a 2–25 meter altitude restriction. Weather includes icing conditions and a 3 m/s wind from 180 degrees with gusts up to 2 m/s. The UAV is a battery-powered high-altitude long-endurance type equipped with GNSS, IMU, lidar, camera, and magnetometer. Payload includes imaging and navigation sensors with moderate drag characteristics. A cylindrical no-fly zone is centered at (50, 40) with a 10-meter radius and 2–20 meter vertical limits. GNSS spoofing occurs between 200–260 seconds, and icing affects performance from 300–420 seconds. Communication experiences two downlink outages, and EM interference degrades signal quality. A moving spherical obstacle travels diagonally through the space at 1.4 m/s. Separation minimum is 10 meters with a 15-second time-to-closest-approach threshold for collision avoidance.",Climb to 24m for better GNSS signal clarity,Descend to 12m to reduce icing and drag effects,Hover at 20m using IMU-lidar fusion for positioning,Accelerate to 8 m/s to exit interference quickly,Circle at 15m altitude to avoid moving obstacle,Fly direct at 18m using camera-only navigation,Descend to 3m to minimize wind and power use,"[""Climb to 24m for better GNSS signal clarity"", ""Descend to 12m to reduce icing and drag effects"", ""Hover at 20m using IMU-lidar fusion for positioning"", ""Accelerate to 8 m/s to exit interference quickly"", ""Circle at 15m altitude to avoid moving obstacle"", ""Fly direct at 18m using camera-only navigation"", ""Descend to 3m to minimize wind and power use""]","C maintains altitude within safe bounds (2–25m), avoids icing at higher levels, and uses sensor fusion to counter GNSS spoofing. It balances energy use, obstacle separation, and navigation integrity while leveraging lidar and IMU during EM interference. Other options violate altitude limits, increase risk, or fail under sensor degradation." 2025-11-01T17:58:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Bridge_Inspection_Foggy_Rural_a693cf332b88_mcq.json,uavbench-mcq-v1,HAPS_Bridge_Inspection_Foggy_Rural,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,UAV inspects bridge at 300 m AGL with 16 m/s gusts; must complete 5 waypoints in 10 min amid icing and GNSS interference.,"This scenario involves a high-altitude pseudo-satellite UAV conducting a bridge inspection mission in rural airspace. The UAV is equipped with radar, RGB and thermal cameras for payload, operating under poor visibility due to fog and icing conditions. Winds increase with altitude, reaching up to 16 m/s from the west-northwest, with gusts adding complexity. The mission is constrained by static and dynamic no-fly zones, including a moving obstacle and a drifting no-fly cylinder. The UAV must maintain safe separation from another UAV traffic participant and avoid collisions using DAA thresholds. GNSS interference is present but multipath effects are not a factor, though communication link dropouts occur briefly. The UAV spawns at 300 m AGL and follows a corridor inspection pattern across five waypoints within a 10-minute time budget. Icing events are simulated mid-mission, affecting aerodynamic performance temporarily. Battery endurance is critical due to high hover power demands and extended flight duration. The flight operates within a defined geofence with designated emergency and preferred landing zones.",Increase speed to 18 m/s to finish early,Descend to 200 m AGL to avoid wind,Delay inspection until winds drop below 10 m/s,Maintain 300 m AGL and adjust heading for wind drift,Skip waypoint 3 to save battery,Switch to thermal-only mode to reduce data load,Hover at each waypoint for 90 seconds,"[""Increase speed to 18 m/s to finish early"", ""Descend to 200 m AGL to avoid wind"", ""Delay inspection until winds drop below 10 m/s"", ""Maintain 300 m AGL and adjust heading for wind drift"", ""Skip waypoint 3 to save battery"", ""Switch to thermal-only mode to reduce data load"", ""Hover at each waypoint for 90 seconds""]",Maintaining 300 m AGL preserves separation from the moving obstacle and adheres to the designated corridor. Adjusting heading compensates for wind drift without violating geofence or collision avoidance thresholds. This ensures timely waypoint coverage while preserving communication and energy margins under dynamic conditions. 2025-11-01T17:58:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Bridge_Site_Inspection_Under_Hail_fde925a12ec6_mcq.json,uavbench-mcq-v1,HAPS_Bridge_Site_Inspection_Under_Hail,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,A,False,"At 320 m AGL, 180 seconds into mission, UAV encounters drifting 20m sphere moving NW at 8 m/s—optimal avoidance while maintaining 400s time-to-go?","This is a high-altitude pseudo-satellite UAV conducting an urban bridge inspection mission under active hail conditions. The operation takes place in dense urban airspace with a defined geofenced corridor between 100 and 400 meters AGL. Weather includes strong winds up to 15 m/s, poor visibility, and hail, with increasing wind speed and shifting direction at higher altitudes. The UAV is equipped with a full sensor suite including RGB and thermal cameras, LiDAR, radar, and GNSS, despite known GNSS multipath and jamming at -85 dBm. A critical no-fly zone surrounds the bridge site, with an additional moving no-fly zone due to dynamic obstacles. The UAV must maintain separation of at least 50 meters from other air traffic, including a crossing UAV on a reciprocal heading. A moving spherical obstacle drifts through the inspection zone, requiring real-time path adaptation. An icing event occurs mid-mission, reducing aerodynamic efficiency for 90 seconds, coinciding with a temporary uplink loss. The UAV must complete its corridor inspection pattern within 600 seconds and land on a designated runway. Energy management is critical due to high hover power draw and a 35% battery reserve requirement.","Descend to 280 m AGL, turn 45° left, resume course after 120m","Climb to 390 m AGL, fly direct over sphere, descend post-clearance","Hold position for 22 seconds until sphere passes, then proceed","Bank 30° right, reduce speed to 12 m/s, track parallel 60m away",Execute emergency descent to 110 m AGL and reroute eastbound,"Increase speed to 25 m/s, advance arrival at next waypoint by 18s","Pitch up 10°, maintain altitude, rely on radar-guided straight path","[""Descend to 280 m AGL, turn 45° left, resume course after 120m"", ""Climb to 390 m AGL, fly direct over sphere, descend post-clearance"", ""Hold position for 22 seconds until sphere passes, then proceed"", ""Bank 30° right, reduce speed to 12 m/s, track parallel 60m away"", ""Execute emergency descent to 110 m AGL and reroute eastbound"", ""Increase speed to 25 m/s, advance arrival at next waypoint by 18s"", ""Pitch up 10°, maintain altitude, rely on radar-guided straight path""]","Option A maintains safe lateral and vertical separation while minimizing energy and time penalties by using altitude margin within the geofence. It avoids GNSS-jamming-prone lower layers and accounts for re-routing latency. Other options either breach the 50m separation, waste time, or increase exposure to icing and wind shear." 2025-11-01T17:58:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Bridge_Site_Microburst_GPS_Spoof_9062b9e18b4d_mcq.json,uavbench-mcq-v1,HAPS_Bridge_Site_Microburst_GPS_Spoof,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"At 620 m AGL, winds hit 18 m/s from 270° with microburst risk; GNSS spoofing begins. What immediate action ensures separation and mission completion?","High-altitude pseudo-satellite UAV conducts a grid survey mission near a bridge site in complex wind conditions. The aircraft operates between 100 and 700 meters AGL within a defined polygonal airspace. Winds increase with altitude, reaching 18 m/s from 270° at 600 m, with a microburst risk present. The UAV is equipped with radar, RGB camera, and standard navigation sensors, powered entirely by battery. A static no-fly zone and a moving restricted zone challenge flight planning and obstacle avoidance. Another UAV and a drifting spherical obstacle introduce dynamic collision risks. GNSS spoofing occurs mid-mission, lasting one minute, with additional RF interference and brief comms dropouts. Separation monitoring is active, requiring minimum 25 meters and 30 seconds time-to-collision threshold. The mission must complete within 15 minutes, starting and ending near the designated site. Battery endurance and sensor reliability are critical due to wind, spoofing, and traffic constraints.",Descend to 400 m AGL and continue grid pattern,Climb to 700 m AGL to escape wind shear,Hold altitude and switch to inertial navigation,Turn east to avoid drifting spherical obstacle,Proceed to bridge site at current altitude,Abort mission and land immediately,Reduce speed and enter loiter at 620 m,"[""Descend to 400 m AGL and continue grid pattern"", ""Climb to 700 m AGL to escape wind shear"", ""Hold altitude and switch to inertial navigation"", ""Turn east to avoid drifting spherical obstacle"", ""Proceed to bridge site at current altitude"", ""Abort mission and land immediately"", ""Reduce speed and enter loiter at 620 m""]","Descending to 400 m AGL reduces exposure to high winds and microburst risk while staying within operational altitude limits. It conserves battery under reduced wind load, maintains separation from the drifting obstacle and other UAV, and allows continued mission progress. Other options either increase risk (B, E), waste time or energy (C, G), or fail to complete the mission (F), while D lacks strategic benefit without altitude adjustment." 2025-11-01T17:58:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Coastal_LostLink_RTL_eadf720092ef_mcq.json,uavbench-mcq-v1,HAPS_Coastal_LostLink_RTL,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,B,False,"UAV at 4500m AGL faces icing, 16 m/s winds at 3000m, and GNSS jamming. Which route avoids NFZ and spherical obstacle while preserving battery?","High-altitude pseudo-satellite UAV conducts a coastal survey mission in controlled airspace between 2000 and 6000 meters AGL. The aircraft operates in good visibility but faces icing conditions and moderate winds increasing with altitude, up to 16 m/s at 3000 meters. Equipped with radar, RGB and thermal cameras, the UAV relies on battery power and efficient aerodynamics for long endurance. The mission follows a corridor pattern across five waypoints, requiring runway access despite no immediate landing. A no-fly zone cylinder near the center of the airspace restricts flight paths, and separation from other traffic must be maintained. During the mission, a lost communication link triggers an automatic return-to-launch sequence. Concurrently, an icing event reduces performance, and electromagnetic interference challenges navigation systems. GNSS experiences mild jamming but no significant multipath effects. The UAV must manage energy carefully, avoid collisions with a moving spherical obstacle, and maintain safe separation from another UAV on a crossing path.","Descend to 2000m, fly direct through NFZ center","Maintain 4500m, reroute east to avoid NFZ and obstacle","Climb to 6000m, accelerate to bypass obstacle quickly","Turn west, descend below 3000m into stronger winds","Hold position, await GNSS signal restoration","Follow corridor west, then straight across NFZ boundary","Reduce speed, descend to 2500m, trace obstacle's edge","[""Descend to 2000m, fly direct through NFZ center"", ""Maintain 4500m, reroute east to avoid NFZ and obstacle"", ""Climb to 6000m, accelerate to bypass obstacle quickly"", ""Turn west, descend below 3000m into stronger winds"", ""Hold position, await GNSS signal restoration"", ""Follow corridor west, then straight across NFZ boundary"", ""Reduce speed, descend to 2500m, trace obstacle's edge""]","Maintaining 4500m avoids increased wind drag below 3000m and leverages better GNSS reliability at higher altitude. It safely bypasses both the NFZ and moving obstacle while optimizing energy use. Other options either breach the NFZ, increase exposure to icing or wind, or waste time and power." 2025-11-01T17:58:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Coastal_Delivery_LowVis_52631463ee61_mcq.json,uavbench-mcq-v1,HAPS_Coastal_Delivery_LowVis,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 240 s, icing reduces performance for 60 s amid GNSS jamming and 30 s separation thresholds. Which response maintains control and security?","High-altitude pseudo-satellite UAV conducts a coastal delivery mission in poor visibility with hail and icing conditions. Operating between 300 m and 1200 m AGL, the UAV navigates a defined corridor with static and moving obstacles. Strong winds increase with altitude, shifting from west to northwest, and gusts add turbulence. The UAV carries a multispectral payload including RGB and thermal cameras, supported by radar due to limited visibility. GNSS signals suffer from multipath and moderate jamming, while electromagnetic interference challenges navigation. A no-fly zone near the route and a drifting dynamic exclusion zone require real-time path adjustments. Separation from other air traffic must be maintained with a 50 m minimum distance and 30 s time-to-contact threshold. An icing event at 240 s reduces performance for one minute, compounding battery drain in cold conditions. Communication experiences brief dropouts, requiring robust link management during critical phases. The mission must complete within 600 seconds while avoiding geofence breaches and conserving 30% battery reserve.",Switch to encrypted inertial navigation with radar altimeter cross-check,Increase GNSS update rate to counteract multipath errors,Disable telemetry encryption to reduce communication latency,Rely solely on thermal camera for obstacle detection,Transmit unauthenticated position updates to save battery,Override autopilot with manual control via unsecured datalink,Use raw GPS signals without integrity verification,"[""Switch to encrypted inertial navigation with radar altimeter cross-check"", ""Increase GNSS update rate to counteract multipath errors"", ""Disable telemetry encryption to reduce communication latency"", ""Rely solely on thermal camera for obstacle detection"", ""Transmit unauthenticated position updates to save battery"", ""Override autopilot with manual control via unsecured datalink"", ""Use raw GPS signals without integrity verification""]",Switching to encrypted inertial navigation preserves confidentiality and integrity during GNSS jamming. Radar altimeter cross-check ensures altitude accuracy despite sensor spoofing risks. This maintains control stability and mission continuity under cyber-physical stress. 2025-11-01T17:58:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Convoy_Escort_Forest_Hot_9fb2207ebd78_mcq.json,uavbench-mcq-v1,HAPS_Convoy_Escort_Forest_Hot,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"At 3000 m, with 15 m/s winds and thermal updrafts near, which UAV adjusts altitude for optimal swarm communication and sensor coverage?","Mission involves a high-altitude pseudo-satellite UAV conducting convoy escort in a forested airspace. The UAV operates at altitudes between 100 and 3500 meters AGL within a defined polygonal geofence. Weather includes strong winds at 8.5 m/s from 240 degrees with gusts up to 4 m/s and heat haze reducing visibility quality. The UAV is battery-powered with a maximum speed of 35 m/s and carries a payload equipped with RGB and thermal cameras plus radar. Notable constraints include GNSS multipath effects, electromagnetic interference, and a GNSS jamming level of -95 dBm. There is a static no-fly zone centered at (1500, 600) and a moving no-fly zone drifting northwest. The mission requires navigating through four waypoints while maintaining separation from traffic and dynamic obstacles. A swarm of three UAVs operates with minimum 50-meter inter-vehicle separation and distinct roles: leader, follower, relay. Wind varies significantly with altitude, increasing to 15 m/s at 3000 m, and thermal updrafts are present near two locations. Communication links experience two brief downlink loss periods, and strict DAA thresholds enforce 100-meter separation and 30-second time-to-collision limits.",Leader ascends to 3200 m for radar sweep,Follower descends to 2800 m to save battery,Relay climbs to 3100 m to boost link stability,Leader enters thermal updraft for energy gain,Follower assumes lead due to low battery,Relay drifts northwest to shadow moving no-fly zone,All UAVs descend to 2500 m for wind safety,"[""Leader ascends to 3200 m for radar sweep"", ""Follower descends to 2800 m to save battery"", ""Relay climbs to 3100 m to boost link stability"", ""Leader enters thermal updraft for energy gain"", ""Follower assumes lead due to low battery"", ""Relay drifts northwest to shadow moving no-fly zone"", ""All UAVs descend to 2500 m for wind safety""]",The relay must maintain communication links despite wind-induced separation and downlink losses. Climbing to 3100 m places it above strong wind layer while leveraging altitude for line-of-sight. This preserves swarm connectivity and role-based task allocation without compromising safety or coordination. 2025-11-01T17:58:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_BVLOS_Snowfall_Test_5bbe9a51454b_mcq.json,uavbench-mcq-v1,HAPS_BVLOS_Snowfall_Test,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,"At 2,500 m AGL with 18 m/s winds and GNSS drift, which route adjusts for radar-detected wind shear and moving obstacle near Waypoint 3?","High-altitude pseudo-satellite UAV conducts BVLOS mapping mission in rural airspace. Operating between 1,000 and 4,000 meters AGL, the UAV follows a grid pattern across a 2 km² area. Mission faces poor visibility due to snowfall and icing conditions, with winds increasing to 18 m/s at higher altitudes. The UAV carries RGB and thermal cameras, supported by radar and full sensor suite except lidar. A static no-fly zone and a moving cylindrical exclusion zone challenge navigation planning. Swarm operation with three UAVs requires minimum 50-meter separation between units. GNSS jamming and electromagnetic interference create navigation challenges, with a 45-second comms downlink loss. An icing event at 250 seconds reduces performance, while wind shear affects energy consumption. Traffic includes another UAV and a moving spherical obstacle near key waypoints. Landing requires runway alignment, with emergency site available in case of battery or system failure.","Climb to 3,000 m, direct to Waypoint 3 via NW corridor","Descend to 1,800 m, bypass obstacle eastward at 25 m clearance","Hold 2,500 m, proceed straight through moving obstacle cylinder","Turn right, fly 50 m detour south avoiding exclusion zone edge","Accelerate heading 310°, ignoring 45-second comms loss buffer","Reroute west then north, maintaining 50 m separation from swarm","Dive to 1,000 m, reposition using thermal gradient navigation","[""Climb to 3,000 m, direct to Waypoint 3 via NW corridor"", ""Descend to 1,800 m, bypass obstacle eastward at 25 m clearance"", ""Hold 2,500 m, proceed straight through moving obstacle cylinder"", ""Turn right, fly 50 m detour south avoiding exclusion zone edge"", ""Accelerate heading 310°, ignoring 45-second comms loss buffer"", ""Reroute west then north, maintaining 50 m separation from swarm"", ""Dive to 1,000 m, reposition using thermal gradient navigation""]","Option F balances swarm separation and dynamic obstacle avoidance while preserving GNSS-reliant navigation at safe altitude. It avoids NFZ breach, maintains comms resilience, and minimizes energy use despite wind shear. Other options violate clearance, altitude, or collision avoidance constraints." 2025-11-01T17:58:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Corridor_Follow_Underground_Mine_Hot_d40bf712c8b2_mcq.json,uavbench-mcq-v1,HAPS_Corridor_Follow_Underground_Mine_Hot,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 180s, GNSS degrades due to multipath; visibility drops to 15m with hail. Which navigation strategy maintains accuracy below 2m error?","This mission involves a high-altitude pseudo-satellite UAV conducting an inspection in an underground mine. The UAV operates within a confined airspace bounded between 2 and 25 meters AGL, following a corridor pattern through a rectangular geofenced area. Weather conditions include moderate wind from the south, gusts, poor visibility, and hazardous hail. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, powered entirely by a 12,000 Wh battery. Significant environmental challenges include GNSS multipath, signal jamming, and electromagnetic interference, limiting reliable positioning. A static no-fly zone and a moving no-fly cylinder require dynamic avoidance, along with a moving spherical obstacle. Another UAV is present in the airspace, traveling westbound, necessitating separation management with a 10-meter threshold. Communication is degraded with two downlink/uplink loss windows, simulating intermittent connectivity. The mission must be completed within 600 seconds, with battery reserve and safe landing at the preferred or emergency site as key constraints.",Switch to GNSS-only with drift correction,Rely on IMU dead reckoning at 0.8m/s² bias,Fuse LiDAR SLAM with thermal-optical odometry,Use RGB camera for visual-inertial navigation,Follow magnetic heading despite EMI noise,Descend to reduce wind gust interference,Pause mission until GNSS signal recovers,"[""Switch to GNSS-only with drift correction"", ""Rely on IMU dead reckoning at 0.8m/s² bias"", ""Fuse LiDAR SLAM with thermal-optical odometry"", ""Use RGB camera for visual-inertial navigation"", ""Follow magnetic heading despite EMI noise"", ""Descend to reduce wind gust interference"", ""Pause mission until GNSS signal recovers""]","LiDAR SLAM provides structural consistency in confined spaces, while thermal-optical odometry compensates for poor RGB visibility. Fusing these with IMU mitigates GNSS multipath and EMI. This maintains sub-2m accuracy despite hail and signal degradation." 2025-11-01T17:58:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Dust_Storm_Wind_Farm_Operation_e4d5eded00f5_mcq.json,uavbench-mcq-v1,HAPS_Dust_Storm_Wind_Farm_Operation,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,Which action optimizes battery use and mission completion under 600-second limit with 30% reserve and strong winds shifting at 300 meters?,"High-altitude pseudo-satellite UAV conducts a mapping mission over a wind farm in poor visibility with dust storm conditions. Operating between 100 and 600 meters AGL, the UAV navigates within a defined polygonal airspace with static and moving no-fly zones. Strong winds increase with altitude, shifting direction from 240° at ground level to 270° at 300 meters, with gusts up to 4 m/s. The UAV is equipped with radar and RGB camera payload, relying on battery power with a 30% reserve requirement. GNSS signals are degraded due to multipath effects and electromagnetic interference, with brief communication loss periods. A three-UAV swarm operates cooperatively, maintaining minimum 50-meter separation and assigned leader-scout-relay roles. A dynamic no-fly zone moves through the airspace, requiring real-time path adjustments to maintain separation. The mission follows a grid pattern across five waypoints, aiming to complete within a 600-second time budget. Traffic includes another UAV approaching head-on, triggering DAA checks with 50-meter separation and 30-second TTC thresholds. Thermal updrafts at two locations offer potential lift, but dust and wind complexity challenge navigation and endurance.",Ascend to 600 meters for faster coverage using tailwinds,Fly at 100 meters to minimize wind exposure and power use,"Disable radar to save power, rely on RGB only",Extend grid legs to reduce turn frequency and energy use,"Use thermal updrafts at full payload, increasing sensor duty cycle",Hover at waypoints to ensure data accuracy during comms loss,"Descend to 200 meters, cycle payloads, and shorten final leg","[""Ascend to 600 meters for faster coverage using tailwinds"", ""Fly at 100 meters to minimize wind exposure and power use"", ""Disable radar to save power, rely on RGB only"", ""Extend grid legs to reduce turn frequency and energy use"", ""Use thermal updrafts at full payload, increasing sensor duty cycle"", ""Hover at waypoints to ensure data accuracy during comms loss"", ""Descend to 200 meters, cycle payloads, and shorten final leg""]","Flying at 200 meters balances wind exposure and sensor performance while avoiding high-power climb at 600 meters. Cycling payloads reduces average power draw, preserving battery. Shortening the final leg ensures return within time and reserve limits, adapting to dynamic zones and comms loss." 2025-11-01T17:58:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Delivery_Desert_Lightning_461ae79a60ad_mcq.json,uavbench-mcq-v1,HAPS_Delivery_Desert_Lightning,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,"At 480s, lightning strikes; UAV must reach Waypoint 3 (2800, 2200) avoiding moving NFZ drifting at 2.5 m/s from 250°.","This scenario involves a high-altitude pseudo-satellite UAV conducting a package delivery mission in a desert airspace. The UAV operates between 1,500 and 3,000 meters AGL within a defined polygonal geofence. Winds increase with altitude, reaching up to 12 m/s from 250 degrees, with gusts and a risk of lightning. The UAV is battery-powered, equipped with radar, RGB camera, and standard navigation sensors, carrying a 2.5 kg payload. Key constraints include a static no-fly zone near (3000, 2000) and a moving no-fly zone drifting at 2.5 m/s. A second UAV and a moving spherical obstacle create dynamic traffic hazards. Lightning strike and GNSS jamming faults are injected at 450 and 520 seconds, respectively. Communication experiences a 60-second downlink loss window, and electromagnetic interference is present. The mission must complete within 600 seconds across four waypoints in a corridor pattern. Success depends on avoiding collisions, maintaining separation, and landing safely despite weather, faults, and traffic.","Climb to 3000m AGL, fly direct bearing 30°","Descend to 1500m AGL, follow valley corridor","Hold position for 30s, then reroute eastward","Turn right 90°, increase speed to 18 m/s","Bank left 45°, descend through moving NFZ","Follow 200m detour north, maintain 2200m AGL","Pitch down 5°, accelerate toward static NFZ edge","[""Climb to 3000m AGL, fly direct bearing 30°"", ""Descend to 1500m AGL, follow valley corridor"", ""Hold position for 30s, then reroute eastward"", ""Turn right 90°, increase speed to 18 m/s"", ""Bank left 45°, descend through moving NFZ"", ""Follow 200m detour north, maintain 2200m AGL"", ""Pitch down 5°, accelerate toward static NFZ edge""]","Option F avoids the moving no-fly zone with a safe lateral buffer while maintaining optimal altitude for energy efficiency and GNSS-reduced navigation post-lightning. It accounts for drift dynamics and re-routing latency, minimizing collision risk without violating geofence or timing constraints. Other choices either penetrate NFZs, waste time, or increase exposure to wind shear and interference." 2025-11-01T17:58:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Emergency_Medical_Delivery_Volcanic_Zone_3ce8da7dcc4c_mcq.json,uavbench-mcq-v1,HAPS_Emergency_Medical_Delivery_Volcanic_Zone,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,E,False,"At 5000 m AGL with 16 m/s winds and GNSS drift, which navigation strategy maintains accuracy and obstacle avoidance?","High-altitude pseudo-satellite UAV conducts emergency medical delivery in a volcanic zone. The mission operates within controlled airspace between 2000 and 7000 meters AGL. Weather includes moderate winds up to 18 m/s, increasing with altitude, and a risk of lightning. The UAV is equipped with radar, RGB and thermal cameras, and relies on battery power for long endurance. Payload includes critical medical supplies with minimal aerodynamic drag. GNSS signals are degraded due to multipath and electromagnetic interference, complicating navigation. A static no-fly zone and a moving restricted zone require dynamic path planning. Thermal updrafts near volcanic plumes offer potential lift but increase flight instability. The UAV must maintain separation from another aircraft and a moving spherical obstacle. Communication experiences brief uplink/downlink outages, requiring robust contingency handling.","Prioritize GNSS for position, ignoring drift due to interference","Rely solely on IMU during GNSS outages, ignoring visual updates",Fuse radar and thermal data to track moving obstacle in fog,Use radar-altimeter-only climb to avoid volcanic plume lift,Switch to IMU-camera-thermal fusion with radar obstacle detection,Descend to 2000 m using GPS homing despite signal degradation,Follow magnetic heading using compass despite EM interference,"[""Prioritize GNSS for position, ignoring drift due to interference"", ""Rely solely on IMU during GNSS outages, ignoring visual updates"", ""Fuse radar and thermal data to track moving obstacle in fog"", ""Use radar-altimeter-only climb to avoid volcanic plume lift"", ""Switch to IMU-camera-thermal fusion with radar obstacle detection"", ""Descend to 2000 m using GPS homing despite signal degradation"", ""Follow magnetic heading using compass despite EM interference""]","IMU-camera-thermal fusion compensates for GNSS degradation by leveraging visual-inertial odometry and thermal contrast for volcanic terrain. Radar adds obstacle detection in dynamic zones, ensuring separation from moving threats. This multimodal fusion maintains accuracy under electromagnetic interference and wind-induced drift, optimizing situational awareness." 2025-11-01T17:58:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Facade_Inspection_Bridge_Site_Sandstorm_dbd5206d3250_mcq.json,uavbench-mcq-v1,HAPS_Facade_Inspection_Bridge_Site_Sandstorm,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"Given 30% battery reserve, 12 m/s winds, and sandstorm sensor degradation, which action maximizes facade inspection completion and safe return?","High-altitude pseudo-satellite UAV conducts facade inspection over a bridge site in harsh sandstorm conditions. The mission occurs in controlled airspace with a geofenced polygon and two no-fly zones, one dynamic. Winds are strong at 12 m/s from 240°, increasing with altitude, and gusts add turbulence. Visibility is poor due to an active sandstorm, degrading optical sensors and causing periodic GNSS jamming. The UAV is equipped with RGB and thermal cameras, LiDAR, radar, and full navigation suite for redundancy. It operates as part of a three-UAV swarm with leader, scout, and relay roles maintaining 50 m separation. GNSS multipath and electromagnetic interference challenge navigation, especially near structures. A moving spherical obstacle drifts through the inspection zone, requiring real-time avoidance. The UAV must follow a corridor-pattern waypoint route and land using a designated runway approach. Battery endurance is critical, with reserve power set at 30% amid high drag and energy demands.",Increase speed to finish faster and conserve energy,Disable LiDAR to save power and rely on radar,Ascend to smoother air despite higher drag losses,Extend inspection time using full RGB and thermal,Reduce camera frame rate and shorten waypoint spacing,Switch to GNSS-only navigation to reduce CPU load,Maintain formation with 50 m separation using constant thrust,"[""Increase speed to finish faster and conserve energy"", ""Disable LiDAR to save power and rely on radar"", ""Ascend to smoother air despite higher drag losses"", ""Extend inspection time using full RGB and thermal"", ""Reduce camera frame rate and shorten waypoint spacing"", ""Switch to GNSS-only navigation to reduce CPU load"", ""Maintain formation with 50 m separation using constant thrust""]","Reducing camera frame rate cuts power use while shorter waypoints improve obstacle avoidance in poor visibility. This balances sensor utility and energy, preserving battery for return. Other options either increase drag, overuse power, or reduce situational awareness beyond safe limits." 2025-11-01T17:58:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Firefighting_Drop_Cold_WindFarm_6a55ade06218_mcq.json,uavbench-mcq-v1,HAPS_Firefighting_Drop_Cold_WindFarm,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,F,False,"During GNSS jamming and 8.5 m/s winds at 1200 m AGL, how should the UAV maintain position integrity and control?","High-altitude pseudo-satellite UAV conducts firefighting drop mission in a wind farm environment. Operating between 100 and 1200 meters AGL, the UAV navigates within a defined polygonal airspace. Cold weather conditions include snowfall, icing, and moderate winds up to 8.5 m/s from 240°, increasing with altitude. The UAV is equipped with radar, RGB and thermal cameras, and relies on GNSS/IMU navigation despite multipath and interference. A battery-powered fixed-wing design with 75 kg mass and 12 kg payload supports long-endurance flight. Mission involves a 3-UAV swarm flying a corridor pattern to deliver firefighting drops at designated waypoints. No-fly zones include a static cylinder near the center and a moving exclusion zone shifting southwest. Dynamic obstacles and other UAV traffic require strict separation using DAA thresholds of 50 m and 30 s TTC. Icing events occur mid-mission, reducing performance for 120 seconds, while communication dropouts affect uplink/downlink. GNSS jamming, EM interference, and wind shear add complexity to navigation and control throughout the operation.",Rely solely on encrypted GNSS with inertial aiding,Switch to optical flow from RGB camera for navigation,Use radar-altimeter-only hold at current altitude,Execute return-to-home via unencrypted radio link,Trust IMU dead reckoning without sensor fusion,Activate encrypted C2 link with terrain-relative navigation,Broadcast position openly for swarm coordination,"[""Rely solely on encrypted GNSS with inertial aiding"", ""Switch to optical flow from RGB camera for navigation"", ""Use radar-altimeter-only hold at current altitude"", ""Execute return-to-home via unencrypted radio link"", ""Trust IMU dead reckoning without sensor fusion"", ""Activate encrypted C2 link with terrain-relative navigation"", ""Broadcast position openly for swarm coordination""]","Encrypted C2 ensures command integrity during jamming, while terrain-relative navigation using radar and cameras maintains positioning when GNSS is compromised. This preserves control stability and mission continuity under adversarial conditions." 2025-11-01T17:58:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Forest_Search_Offshore_8ad263b51760_mcq.json,uavbench-mcq-v1,HAPS_Forest_Search_Offshore,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,"At 2,000 m AGL with 16 m/s westerly winds and icing at 120 s, which action optimizes search coverage, energy, and safety?","High-altitude pseudo-satellite UAV conducts offshore search and rescue near a coastal platform. Operating between 1,000 and 3,000 meters AGL in controlled offshore airspace with a defined geofence. Mission involves grid-pattern waypoint navigation to locate targets over a forested and marine area. UAV equipped with radar, RGB and thermal cameras for wide-area surveillance and thermal detection. Strong westerly winds increase with altitude, reaching 16 m/s at 2,000 meters, with gusts up to 12 m/s. Icing conditions are present, with a simulated icing event occurring at 120 seconds into the mission. A cylindrical no-fly zone blocks access to a central area near the platform, requiring flight rerouting. GNSS multipath and electromagnetic interference degrade navigation accuracy, especially near structures. A single intruder UAV and a moving spherical obstacle challenge detect-and-avoid systems. Landing requires runway approach alignment, with preferred and emergency landing sites designated.","Descend to 1,000 m to avoid icing and reduce wind exposure","Maintain 2,000 m for optimal sensor coverage despite icing risk","Climb to 3,000 m for stronger tailwinds and faster waypoint progression",Abort mission immediately upon icing detection to ensure safety,Increase speed to 25 m/s to counteract wind drift and stay on track,Reroute eastward to leverage wind and conserve energy for search,Switch to thermal-only mode to save power and penetrate forest canopy,"[""Descend to 1,000 m to avoid icing and reduce wind exposure"", ""Maintain 2,000 m for optimal sensor coverage despite icing risk"", ""Climb to 3,000 m for stronger tailwinds and faster waypoint progression"", ""Abort mission immediately upon icing detection to ensure safety"", ""Increase speed to 25 m/s to counteract wind drift and stay on track"", ""Reroute eastward to leverage wind and conserve energy for search"", ""Switch to thermal-only mode to save power and penetrate forest canopy""]","Descending to 1,000 m reduces exposure to severe icing and high winds, improving aerodynamic stability and control. It conserves energy by lowering required thrust and maintains navigation accuracy away from GNSS-degrading structures. This altitude still supports effective sensor operation within the grid pattern while preserving safety and mission endurance." 2025-11-01T17:58:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Foggy_Wind_Farm_Survey_4135488c7aa5_mcq.json,uavbench-mcq-v1,HAPS_Foggy_Wind_Farm_Survey,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"At 320m AGL, UAV detects dynamic NFZ moving east at 15 km/h; winds shift northwest. Optimal response?","High-altitude pseudo-satellite UAV conducts a survey mission over a wind farm in poor visibility with fog and icing conditions. The airspace is constrained between 100 and 400 meters AGL with static and moving no-fly zones. Strong winds increase with altitude, shifting direction from west to northwest, and gusts add turbulence. The UAV carries a radar, RGB camera, and thermal camera for data collection, with a 5 kg payload impacting drag. GNSS signals are degraded due to jamming and electromagnetic interference, increasing navigation risk. A swarm of three UAVs operates with role specialization and a minimum 25-meter inter-vehicle separation. A dynamic no-fly zone moves through the area, requiring real-time re-routing to maintain separation. Traffic includes another UAV flying at 220 meters, with DAA systems monitoring for conflicts. An icing fault occurs mid-mission, reducing performance for one minute at 60% severity. Battery endurance and communication dropouts are key constraints, with a brief downlink loss expected.",Descend to 90m AGL to avoid turbulence and NFZ,"Maintain 320m AGL, continue current heading",Climb to 410m AGL for clearer GNSS reception,"Turn south with 1.2km radius, descend to 180m AGL",Hold hover for 90 seconds until NFZ passes,Accelerate east to bypass NFZ at 300m AGL,"Bank west 25°, re-route to 240m AGL, delay by 45s","[""Descend to 90m AGL to avoid turbulence and NFZ"", ""Maintain 320m AGL, continue current heading"", ""Climb to 410m AGL for clearer GNSS reception"", ""Turn south with 1.2km radius, descend to 180m AGL"", ""Hold hover for 90 seconds until NFZ passes"", ""Accelerate east to bypass NFZ at 300m AGL"", ""Bank west 25°, re-route to 240m AGL, delay by 45s""]","G maintains safe separation from the dynamic NFZ while staying within the 100–400m AGL envelope. It balances wind shift effects, avoids GNSS-jammed altitudes, and minimizes energy use. Other options violate altitude limits, increase collision risk, or waste time." 2025-11-01T17:58:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Firefighting_Drop_Urban_Crosswind_b811fd2c16e8_mcq.json,uavbench-mcq-v1,HAPS_Firefighting_Drop_Urban_Crosswind,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,A,False,"At 300m AGL, 15 m/s crosswind, and 5 kg payload, how should the UAV optimize for battery endurance and precision drop?","The mission is a firefighting drop using a high-altitude pseudo-satellite UAV in a dense urban environment. The UAV operates between 100 and 400 meters AGL within a defined geofenced airspace containing static and moving no-fly zones. Winds are strong and variable, increasing with altitude up to 15 m/s from the west-southwest, with gusts and crosswind components challenging stability. The UAV carries a 5 kg payload equipped with thermal and RGB cameras, radar, and standard navigation sensors. Notable constraints include GNSS multipath, moderate jamming, electromagnetic interference, and temporary comms loss windows. A dynamic no-fly zone moves through the airspace, and a stationary NFZ blocks the central area near the fire target. The UAV must avoid collisions with traffic and a moving spherical obstacle while maintaining separation. It follows a corridor pattern mission with a requirement to use a runway for operations. Battery endurance is limited, with a 30% reserve required and high power draw during flight. The scenario emphasizes precision navigation, energy management, and robustness to environmental and sensor challenges.",Descend to 100m to reduce wind exposure and power use,Climb to 400m for clearer GNSS and stable airflow,Maintain 300m and increase speed to counteract drift,"Disable radar to save power, rely on thermal imaging",Hover in place until the dynamic no-fly zone passes,Jettison payload early to reduce weight and extend loiter,Switch to full RGB streaming at maximum resolution,"[""Descend to 100m to reduce wind exposure and power use"", ""Climb to 400m for clearer GNSS and stable airflow"", ""Maintain 300m and increase speed to counteract drift"", ""Disable radar to save power, rely on thermal imaging"", ""Hover in place until the dynamic no-fly zone passes"", ""Jettison payload early to reduce weight and extend loiter"", ""Switch to full RGB streaming at maximum resolution""]","Descending to 100m reduces wind-induced power demand and improves GNSS signal quality by minimizing multipath, conserving battery. Lower altitude shortens the flight path around the stationary NFZ, balancing energy use and mission precision. This preserves the 30% reserve while enabling accurate drop execution." 2025-11-01T17:58:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Gust_Emergency_Landing_Offshore_3d974e015c19_mcq.json,uavbench-mcq-v1,HAPS_Gust_Emergency_Landing_Offshore,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,A,False,"UAV at 800 m AGL faces GNSS jamming, 18 m/s winds, and a moving NFZ; which reroute preserves comms, avoids traffic at 500 m, and reaches emergency site?","High-altitude pseudo-satellite UAV conducts offshore platform inspection in gusty wind conditions. Mission takes place in controlled offshore airspace with a defined geofence and both static and moving no-fly zones. Winds increase with altitude, reaching 18 m/s at 1000 m with strong gusts up to 6.5 m/s. The UAV is battery-powered, equipped with radar, RGB and thermal cameras, and relies on GNSS, IMU, and barometer for navigation. A dynamic no-fly zone moves through the area, requiring real-time avoidance. An emergency landing site is designated at the southeast corner of the operational zone. Mid-mission GNSS jamming and a partial motor failure simulate critical fault conditions. Communication experiences intermittent uplink loss, complicating remote control. Traffic includes another UAV flying westbound at 500 m altitude, requiring separation assurance. The scenario tests resilience to weather, sensor faults, and navigation challenges in constrained offshore airspace.","Descend to 400 m, turn southeast, direct to landing site","Climb to 1000 m for clearer GNSS, then fly direct route","Maintain 800 m, arc northeast绕NFZ, then glide southeast",Turn west to shadow GNSS outage behind platform,Hold position at 800 m until GNSS signal recovers,"Dive rapidly to 200 m, sprint southeast below radar layer",Follow moving NFZ edge to exploit wind-assisted drift,"[""Descend to 400 m, turn southeast, direct to landing site"", ""Climb to 1000 m for clearer GNSS, then fly direct route"", ""Maintain 800 m, arc northeast绕NFZ, then glide southeast"", ""Turn west to shadow GNSS outage behind platform"", ""Hold position at 800 m until GNSS signal recovers"", ""Dive rapidly to 200 m, sprint southeast below radar layer"", ""Follow moving NFZ edge to exploit wind-assisted drift""]","Descending to 400 m avoids strong winds at 800–1000 m and stays clear of westbound UAV at 500 m with vertical separation. It enables inertial/IMU-based navigation under GNSS outage and positions UAV for energy-efficient glide to southeast emergency site. Other options either penetrate NFZs, increase exposure to gusts, or waste battery." 2025-11-01T17:58:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Icing_Relay_Mission_40a82ed18fae_mcq.json,uavbench-mcq-v1,HAPS_Icing_Relay_Mission,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 200s, with icing reducing performance 40%, how should the swarm adjust loiter roles while maintaining 25m separation and relay continuity?","This mission involves a high-altitude pseudo-satellite UAV performing a satellite link relay in an underground mine environment. The UAV operates within a confined airspace bounded between 10 and 120 meters AGL, restricted by polygonal geofences and static/dynamic no-fly zones. Strong westerly winds increase with altitude, reaching 12 m/s at 100 meters, with gusts up to 4 m/s and poor visibility due to icing conditions. The UAV is battery-powered, equipped with radar, RGB camera, and GNSS/IMU navigation, but faces GNSS signal degradation from multipath and jamming at -75 dBm. Icing conditions are present, with a simulated icing event occurring at 200 seconds, reducing performance by 40% for one minute. The UAV must maintain a loiter orbit pattern while relaying communications, avoiding a moving obstacle and a second dynamic no-fly zone drifting southwest. It operates as part of a three-UAV swarm with minimum 25-meter separation, requiring coordinated flight and role-specific behaviors. Communication links experience brief dropouts between 150–160 and 300–315 seconds, with minimum RSSI at -85 dBm. The mission emphasizes endurance, fault tolerance, and navigation reliability under adverse weather and electromagnetic interference. Success depends on maintaining separation, avoiding geofence breaches, and completing the relay orbit within battery and environmental constraints.",All UAVs descend to 10m to reduce wind exposure,Active relay UAV switches to lowest altitude,UAVs rotate relay duty every 30 seconds cyclically,Two UAVs cluster to share communication load,Lead UAV ascends above 100m for better RSSI,UAV behind obstacle takes over relay role,Relay UAV maintains orbit; others adjust spacing,"[""All UAVs descend to 10m to reduce wind exposure"", ""Active relay UAV switches to lowest altitude"", ""UAVs rotate relay duty every 30 seconds cyclically"", ""Two UAVs cluster to share communication load"", ""Lead UAV ascends above 100m for better RSSI"", ""UAV behind obstacle takes over relay role"", ""Relay UAV maintains orbit; others adjust spacing""]","The relay UAV must maintain continuous link stability despite icing, so it stays on task. Others adjust positioning to preserve 25m separation and cover for reduced performance. Option G ensures role persistence, avoids clustering, and sustains swarm geometry under dynamic constraints." 2025-11-01T17:58:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Jungle_Delivery_Hot_c3f4bf78cd47_mcq.json,uavbench-mcq-v1,HAPS_Jungle_Delivery_Hot,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,"Which UAV configuration maximizes mission success with 18,000 Wh battery, 8 kg payload, and 150 m separation in 18 m/s winds?","This is a high-altitude pseudo-satellite (HAPS) delivery mission over a dense jungle environment. The UAV operates between 1,000 and 6,000 meters above ground level within a defined rectangular geofence. Weather includes a steady 8 m/s wind from 135° at ground level, increasing to 18 m/s at higher altitudes with variable direction, and good visibility. The UAV is battery-powered, with a total capacity of 18,000 Wh, and carries an 8 kg payload equipped with RGB and thermal cameras plus radar. Key constraints include a static no-fly zone over the center of the area and a moving no-fly zone drifting southwest. The mission must contend with GNSS multipath effects, electromagnetic interference, and brief communication loss windows. Thermal updrafts are present at two locations, offering potential energy-saving opportunities. Air traffic includes one opposing UAV, requiring separation assurance with a 150-meter minimum threshold. The UAV must follow a corridor pattern through four waypoints and return for a runway landing. Mission success depends on timely completion, battery reserve, and avoidance of collisions or airspace violations.",Fixed-wing with thermal updraft exploitation and GNSS/INS fusion,Quadcopter with radar altimeter and manual rerouting,Blimp with solar recharging and electromagnetic shielding,Fixed-wing with visual-only navigation and no wind compensation,VTOL with dual GNSS and increased battery mass,Glider with no propulsion and passive thermal soaring,Rotary-wing with RF jamming avoidance and 20 kg payload,"[""Fixed-wing with thermal updraft exploitation and GNSS/INS fusion"", ""Quadcopter with radar altimeter and manual rerouting"", ""Blimp with solar recharging and electromagnetic shielding"", ""Fixed-wing with visual-only navigation and no wind compensation"", ""VTOL with dual GNSS and increased battery mass"", ""Glider with no propulsion and passive thermal soaring"", ""Rotary-wing with RF jamming avoidance and 20 kg payload""]","Fixed-wing offers optimal endurance and wind resistance for corridor flight. Thermal updraft use improves energy efficiency, critical for battery-limited 18,000 Wh capacity. GNSS/INS fusion mitigates interference and multipath, ensuring reliable navigation near no-fly zones and during comms loss." 2025-11-01T17:58:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_LightningRisk_DenseUrban_0a8b66b25614_mcq.json,uavbench-mcq-v1,HAPS_LightningRisk_DenseUrban,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 1100 m AGL, 8 minutes into a 10-minute mission, lightning risk rises and GNSS fails. Wind is 16 m/s. What should the UAV do?","High-altitude pseudo-satellite UAV conducts urban mapping in dense city airspace. Mission involves following a grid pattern at altitudes between 100 and 1200 meters AGL. Strong winds increase with altitude, reaching 16 m/s at 1000 m, with active lightning risk. UAV is equipped with radar, RGB camera, and standard navigation sensors but no LiDAR. Operates within a defined geofenced area containing a static no-fly zone and a moving restricted zone. Faces GNSS jamming and electromagnetic interference, with two simulated faults: GNSS jamming and icing. Air traffic includes another UAV, and a moving spherical obstacle traverses the area. Lightning risk and GNSS multipath in urban canyon environments add operational complexity. Strict separation standards require maintaining at least 50 meters from other traffic. Mission duration is constrained to 10 minutes with limited battery endurance.",Continue mapping; battery allows 2 more minutes,Descend immediately to 100 m avoiding high winds,Hold position for 60 seconds to reacquire signal,Fly directly through moving restricted zone to exit fast,Prioritize camera data over navigation integrity,Evasion maneuver ignoring 50 m separation from other UAV,Abort mission and follow emergency descent protocol,"[""Continue mapping; battery allows 2 more minutes"", ""Descend immediately to 100 m avoiding high winds"", ""Hold position for 60 seconds to reacquire signal"", ""Fly directly through moving restricted zone to exit fast"", ""Prioritize camera data over navigation integrity"", ""Evasion maneuver ignoring 50 m separation from other UAV"", ""Abort mission and follow emergency descent protocol""]","Human safety and lawful operation outweigh mission completion. Lightning and GNSS failure at high altitude create unacceptable risk. Immediate abort ensures compliance with safety-of-life, airspace laws, and emergency hierarchy under deteriorating conditions." 2025-11-01T17:58:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Offshore_Inspection_Snowfall_00af66c98051_mcq.json,uavbench-mcq-v1,HAPS_Offshore_Inspection_Snowfall,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 900s mission time, 16 m/s winds, and drifting obstacles at 2–3 m/s, how should the UAV optimize its inspection path under battery and icing constraints?","This is an offshore inspection mission using a high-altitude pseudo-satellite UAV equipped with radar, RGB, and thermal cameras. The flight occurs over an offshore platform within a defined airspace polygon, with altitude limits between 100 and 2500 meters AGL. Weather conditions include moderate snowfall, poor visibility, icing risks, and increasing wind speeds with altitude, up to 16 m/s. The UAV relies on battery power and features fixed-wing aerodynamics optimized for efficient high-altitude flight. Key constraints include a static no-fly zone around a central platform and a moving no-fly zone drifting westward at 2 m/s. GNSS signals are degraded due to multipath effects and electromagnetic interference, with occasional signal jamming at -75 dBm. The mission requires runway-assisted transitions between vertical and forward flight, with a predefined approach path. Traffic includes another UAV approaching from the east, and a moving obstacle drifts west at 3 m/s, requiring collision avoidance. The UAV must complete its inspection circuit within 900 seconds while managing battery reserves and potential icing events that reduce performance. Communication links experience brief outages, and flight metrics track separation, battery levels, fault detection, and mission success.",Climb to 2500 m for faster transit using wind assist,Fly direct at 100 m AGL to minimize path length,Reduce camera frame rate to save power and extend loiter,Circle platform at 500 m waiting for GNSS signal recovery,Increase speed to complete circuit before wind worsens,Descend and hover using runway-assist to avoid icing,Switch to thermal-only imaging and reduce altitude to 300 m,"[""Climb to 2500 m for faster transit using wind assist"", ""Fly direct at 100 m AGL to minimize path length"", ""Reduce camera frame rate to save power and extend loiter"", ""Circle platform at 500 m waiting for GNSS signal recovery"", ""Increase speed to complete circuit before wind worsens"", ""Descend and hover using runway-assist to avoid icing"", ""Switch to thermal-only imaging and reduce altitude to 300 m""]","Reducing camera frame rate cuts power use, preserving battery for required 900s endurance amid icing-induced drag. It maintains mission coverage while enabling adaptive routing around drifting obstacles. Other options increase energy use, risk collisions, or fail to complete inspection within time and altitude limits." 2025-11-01T17:58:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Package_Delivery_Clear_Weather_1b98af711e99_mcq.json,uavbench-mcq-v1,HAPS_Package_Delivery_Clear_Weather,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"UAV must return within 10 minutes, operates near airport, 50m separation required. What action ensures safety and compliance?","High-altitude pseudo-satellite UAV conducts a package delivery mission near an airport perimeter. Operating between 1,500 and 3,000 meters AGL, it follows a custom waypoint route within a defined geofenced area. Clear weather with light westerly winds (5 m/s) and minor gusts ensures favorable flying conditions. The UAV is equipped with a battery-powered propulsion system and carries a 2 kg payload with minimal drag. Key sensors include GNSS, IMU, magnetometer, barometer, and RGB camera for navigation and situational awareness. A no-fly zone cylinder is enforced at the center of the airspace, requiring strict path deviation. The UAV must maintain separation from static and dynamic traffic, with a minimum 50-meter inter-vehicle distance. GNSS signal multipath is not reported, but operation near airport infrastructure may pose localization challenges. The mission requires return to the starting point within a 10-minute time budget, prioritizing battery reserve. Communication links are stable, with strong uplink and downlink signals supporting continuous command and telemetry.",Continue mission; maintain 50m from traffic,"Descend below 1,500m to reduce wind drift",Enter no-fly zone briefly to shorten return path,Land immediately in airport perimeter zone,Increase speed beyond limits to save battery,Delay return to deliver package on time,Abort mission and reroute to avoid airport zone,"[""Continue mission; maintain 50m from traffic"", ""Descend below 1,500m to reduce wind drift"", ""Enter no-fly zone briefly to shorten return path"", ""Land immediately in airport perimeter zone"", ""Increase speed beyond limits to save battery"", ""Delay return to deliver package on time"", ""Abort mission and reroute to avoid airport zone""]","Safety requires avoiding airport proximity and no-fly zones despite mission goals. Returning via compliant route preserves airspace regulations and human life. All other options risk collision, legal breach, or endanger civilians." 2025-11-01T17:58:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_MovingNFZ_Jungle_Crosswind_245ccc033888_mcq.json,uavbench-mcq-v1,HAPS_MovingNFZ_Jungle_Crosswind,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best balances endurance, obstacle avoidance, and navigation accuracy at 1000–3000 m AGL with 8.5–18 m/s winds?","High-altitude pseudo-satellite UAV conducts a survey mission over a jungle environment. Operating between 1000 and 3000 meters AGL, it navigates strong crosswinds increasing with altitude. Wind speeds range from 8.5 m/s at ground level to 18 m/s at 2000 meters, with shifting direction. The UAV is equipped with radar, RGB and thermal cameras, and relies on GNSS/IMU navigation. Battery-powered with high endurance, it faces energy challenges due to drag and wind resistance. A static no-fly zone and a moving cylindrical NFZ create dynamic airspace constraints. GNSS multipath and electromagnetic interference degrade navigation accuracy. A single traffic UAV and a moving spherical obstacle require real-time separation management. Communication experiences brief uplink/downlink outages during the mission. Mission success depends on maintaining separation, avoiding NFZs, and completing the grid survey within time and battery limits.",Fixed-wing with GNSS-only navigation and no wind compensation,Quadcopter with thermal camera and full redundancy,Hybrid VTOL with radar-assisted obstacle detection and wind estimation,Solar-powered glider with no real-time communication,Fixed-wing with IMU/GNSS fusion and basic camera suite,Multirotor with RGB-thermal payload and high battery drain,UAV with AI-based path planning but no radar,"[""Fixed-wing with GNSS-only navigation and no wind compensation"", ""Quadcopter with thermal camera and full redundancy"", ""Hybrid VTOL with radar-assisted obstacle detection and wind estimation"", ""Solar-powered glider with no real-time communication"", ""Fixed-wing with IMU/GNSS fusion and basic camera suite"", ""Multirotor with RGB-thermal payload and high battery drain"", ""UAV with AI-based path planning but no radar""]","The hybrid VTOL offers efficient cruise endurance and vertical takeoff flexibility, critical for dynamic NFZs. Radar-assisted detection enables reliable separation from moving obstacles despite GNSS degradation. Wind estimation compensates for strong, variable crosswinds, maintaining energy efficiency and mission timing." 2025-11-01T17:58:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Runway_Test_04b5d02e5342_mcq.json,uavbench-mcq-v1,HAPS_Runway_Test,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,UAV surveys at 300 m AGL with 8 m/s wind; must avoid NFZ and second UAV at 400 m within 600 s.,"High-altitude pseudo-satellite UAV conducts a survey mission in dense urban airspace. The UAV operates between 100 m and 1500 m AGL with a required runway approach for landing. Mission involves a grid pattern survey at 300 m altitude with four designated waypoints. A no-fly zone cylinder is present near the center of the operational area at low altitude. Wind is from the west at 8 m/s with gusts up to 4.5 m/s; visibility is good. UAV is battery-powered with radar and RGB camera payload for environmental sensing. A second UAV is present in the airspace, flying level at 400 m altitude across the area. Separation monitoring is active with a 50 m threshold and 30 s time-to-closest-approach limit. GNSS signals may experience multipath effects due to surrounding urban structures. Mission must complete within 600 seconds while avoiding collisions and maintaining safe separation.","Fly direct between waypoints at 300 m, ignoring wind drift",Climb to 450 m to avoid NFZ and second UAV easily,Descend to 200 m to reduce wind impact and miss NFZ,Adjust heading upstream to compensate for 8 m/s wind drift,"Reroute westward around NFZ at 300 m, delaying arrival","Proceed at 300 m with GNSS-only guidance, no radar assist",Bank sharply near NFZ to maintain course and separation,"[""Fly direct between waypoints at 300 m, ignoring wind drift"", ""Climb to 450 m to avoid NFZ and second UAV easily"", ""Descend to 200 m to reduce wind impact and miss NFZ"", ""Adjust heading upstream to compensate for 8 m/s wind drift"", ""Reroute westward around NFZ at 300 m, delaying arrival"", ""Proceed at 300 m with GNSS-only guidance, no radar assist"", ""Bank sharply near NFZ to maintain course and separation""]","Wind compensation via heading adjustment maintains survey altitude and schedule while avoiding lateral drift into the NFZ. Flying direct risks GNSS drift and violates separation due to uncorrected wind push. Other options either breach AGL limits, increase collision risk, or waste time and energy." 2025-11-01T17:58:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Sandstorm_GPS_Jam_Airport_Perimeter_e9aacc825511_mcq.json,uavbench-mcq-v1,HAPS_Sandstorm_GPS_Jam_Airport_Perimeter,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"At 4,500 m AGL, 8.5 m/s wind from 210°, and sandstorm visibility, what ensures stable grid survey flight?","High-altitude pseudo-satellite UAV conducts a survey mission near an airport perimeter. Operating between 3,000 and 6,000 meters AGL in poor visibility due to an active sandstorm. Strong 8.5 m/s winds from 210 degrees with gusts up to 4.0 m/s affect flight stability. UAV equipped with radar, RGB camera, GNSS, IMU, magnetometer, and barometer for navigation and data collection. Mission involves a grid-pattern survey at 4,500 meters altitude with four waypoints covering a large rectangular area. GNSS jamming occurs for 180 seconds at -75 dBm severity, challenging positioning accuracy. A cylindrical no-fly zone centered at (4000, 4000) blocks access to a 600-meter radius area between 3,000 and 5,000 meters. An active runway at heading 110 degrees requires coordinated approach paths for landing. Another UAV and a moving spherical obstacle create dynamic collision risks during operations. Communication experiences uplink loss between 120–300 seconds, demanding robust autonomous decision-making.",Increase angle of attack by 3° to counter downdrafts,Reduce airspeed to 15 m/s to minimize sand erosion,Bank 15° toward 30° heading to align with wind vector,Maintain constant lift coefficient with higher thrust,"Descend to 3,000 m to reduce gust load factor",Pitch up 10° to improve camera nadir alignment,Yaw right 5° to compensate for magnetometer drift,"[""Increase angle of attack by 3° to counter downdrafts"", ""Reduce airspeed to 15 m/s to minimize sand erosion"", ""Bank 15° toward 30° heading to align with wind vector"", ""Maintain constant lift coefficient with higher thrust"", ""Descend to 3,000 m to reduce gust load factor"", ""Pitch up 10° to improve camera nadir alignment"", ""Yaw right 5° to compensate for magnetometer drift""]","At high density altitude, reduced air density decreases lift, requiring higher thrust to maintain lift coefficient and airspeed. Option D balances lift and drag by sustaining aerodynamic efficiency while countering wind-induced disturbances. Other choices either exceed critical angle of attack, reduce controllability, or misalign flight forces." 2025-11-01T17:58:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Runway_TouchAndGo_Crosswind_DenseUrban_d0052958423f_mcq.json,uavbench-mcq-v1,HAPS_Runway_TouchAndGo_Crosswind_DenseUrban,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 420 m AGL, 14 m/s crosswind, GNSS at -85 dBm: execute touch-and-go while managing battery and DAA risks.","High-altitude pseudo-satellite UAV conducts a survey mission in dense urban airspace with a corridor waypoint pattern. The UAV is equipped with radar, RGB camera, GNSS, IMU, magnetometer, and barometer, but lacks lidar and thermal imaging. Mission includes a runway touch-and-go maneuver with strong crosswinds from the west, increasing with altitude. Wind speeds range from 12 m/s at ground level to 16 m/s at 300 m, with gusts up to 6 m/s and dynamic wind direction shifts. Flight occurs between 50 m and 450 m AGL within a defined polygonal geofence containing a static no-fly zone and a moving restricted zone. A second moving obstacle and another UAV traffic participant introduce collision risks requiring DAA compliance. GNSS signals are degraded by multipath effects and moderate jamming at -85 dBm, with additional electromagnetic interference. The UAV must manage battery reserves carefully, transitioning between VTOL and fixed-wing flight near the runway. Communication links experience two brief loss windows, requiring resilient control and data handling. Mission success hinges on maintaining separation, avoiding NFZ breaches, and completing the survey within time and energy limits.",Descend to 50 m AGL immediately to reduce wind exposure,Maintain 420 m AGL and delay descent until wind stabilizes,Divert to VTOL landing outside the survey corridor,"Proceed to runway at 300 m AGL, descend on final with crab",Climb to 450 m AGL for smoother airflow and better GNSS,Hover at 420 m AGL to await GNSS signal recovery,Eject payload and return to home at 200 m AGL,"[""Descend to 50 m AGL immediately to reduce wind exposure"", ""Maintain 420 m AGL and delay descent until wind stabilizes"", ""Divert to VTOL landing outside the survey corridor"", ""Proceed to runway at 300 m AGL, descend on final with crab"", ""Climb to 450 m AGL for smoother airflow and better GNSS"", ""Hover at 420 m AGL to await GNSS signal recovery"", ""Eject payload and return to home at 200 m AGL""]","Descending to 300 m avoids the strongest winds and reduces DAA collision risk while staying above minimum survey altitude. It enables timely runway approach within energy limits and maintains margin above NFZs. Other options violate altitude, endurance, or mission continuity constraints." 2025-11-01T17:58:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Search_and_Rescue_Mountainous_Dust_495cfe1d2763_mcq.json,uavbench-mcq-v1,HAPS_Search_and_Rescue_Mountainous_Dust,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"With 30% battery reserve required and strong 12 m/s gusts, how should the leader UAV optimize endurance during corridor search?","High-altitude pseudo-satellite UAV conducts search and rescue in mountainous terrain with poor visibility due to dust and thermal plumes. Operating between 500 and 3500 meters AGL, the UAV navigates a defined geofenced area with a central cylindrical no-fly zone. Strong winds up to 12 m/s and gusts challenge flight stability, with wind direction varying significantly across altitudes. The UAV is equipped with radar, RGB and thermal cameras, relying on GNSS/IMU navigation despite multipath and jamming risks. A three-UAV swarm flies in coordinated roles—leader, scout, relay—with minimum 50-meter separation between units. Mission follows a corridor search pattern across five waypoints, requiring runway-aligned takeoff and landing. Thermal updrafts near specific coordinates offer potential lift but complicate precise altitude control. Radio communication experiences intermittent downlink losses, with weak signal strength in certain phases. Battery endurance is critical, with a 30% reserve mandated and high power draw during sustained flight. Traffic includes another UAV on a crossing path, requiring DAA compliance with 100-meter separation and 30-second TTC thresholds.",Increase speed to reduce exposure to gusts,Descend to lower altitude with weaker winds,Disable thermal camera to save power,Extend flight path for better coverage,Climb using thermal updrafts for lift,Transmit full HD video continuously,Fly zigzag pattern beyond geofence,"[""Increase speed to reduce exposure to gusts"", ""Descend to lower altitude with weaker winds"", ""Disable thermal camera to save power"", ""Extend flight path for better coverage"", ""Climb using thermal updrafts for lift"", ""Transmit full HD video continuously"", ""Fly zigzag pattern beyond geofence""]","Climbing using thermal updrafts reduces propulsion power needs, conserving battery while maintaining altitude. This leverages natural lift to offset wind challenges and extends effective endurance without sacrificing mission coverage. All other options either increase power draw or violate geofence, separation, or reserve requirements." 2025-11-01T17:58:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Urban_Canyon_GNSS_Challenge_7d4f13cd0490_mcq.json,uavbench-mcq-v1,HAPS_Urban_Canyon_GNSS_Challenge,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During a 60-second GNSS jamming event at 2000 m with -75 dBm interference, what action ensures resilient navigation and control?","This scenario involves a high-altitude pseudo-satellite (HAPS) conducting a mapping mission in coastal urban canyon terrain. The UAV operates between 1000 and 3000 meters AGL within a defined polygonal airspace. Winds increase with altitude, reaching 18 m/s from 300° at 2000 meters, with additional gusts and icing conditions present. The UAV is battery-powered, fixed-wing with VTOL capability, equipped with radar, camera, and standard navigation sensors. GNSS signals experience multipath effects and jamming at -75 dBm, with a simulated GNSS jamming fault lasting 60 seconds. A static no-fly zone and a moving dynamic no-fly zone challenge navigation planning. The mission includes a five-waypoint grid pattern with altitude variations, requiring runway-assisted takeoff and landing. Air traffic and a moving spherical obstacle demand active separation monitoring with a 100-meter minimum. Icing events degrade performance for 90 seconds, and communication dropouts occur at 180 and 400 seconds. The UAV must manage energy, avoid constraints, and complete the mapping task within 600 seconds.",Rely solely on unencrypted ADS-B for position updates,Switch to encrypted inertial-GPS fusion with radar altimeter validation,Use open-loop dead reckoning without sensor cross-checks,Increase reliance on camera-only SLAM during icing-induced glide,Accept unverified GNSS fixes to maintain waypoint progress,Transmit unauthenticated control commands via lossy datalink,Disable intrusion detection to reduce flight computer latency,"[""Rely solely on unencrypted ADS-B for position updates"", ""Switch to encrypted inertial-GPS fusion with radar altimeter validation"", ""Use open-loop dead reckoning without sensor cross-checks"", ""Increase reliance on camera-only SLAM during icing-induced glide"", ""Accept unverified GNSS fixes to maintain waypoint progress"", ""Transmit unauthenticated control commands via lossy datalink"", ""Disable intrusion detection to reduce flight computer latency""]","Encrypted inertial-GPS fusion maintains integrity and availability during jamming, while radar altimeter validates altitude amid multipath and icing. This layered approach preserves control stability and detects spoofing. Other options expose unverified data paths or weaken cyber-physical resilience." 2025-11-01T17:58:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Urban_Canyon_Icing_Survey_1cd7b8e29b5c_mcq.json,uavbench-mcq-v1,HAPS_Urban_Canyon_Icing_Survey,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV system best handles icing, GNSS degradation, and 50m DAA separation in urban canyons at 300m AGL with 10 m/s winds?","High-altitude pseudo-satellite UAV conducting an urban canyon survey mission in poor visibility with icing conditions. Operating between 100–400 meters AGL within a defined polygonal airspace over a city environment. Equipped with radar, RGB and thermal cameras, relying on GNSS/IMU navigation despite multipath and EM interference. Mission involves a grid survey pattern with five waypoints, including a close approach to a static no-fly zone. Dynamic no-fly zone and moving obstacle present collision risks; DAA system enforces 50-meter separation. Wind increases with altitude, from 5 m/s at ground to 10 m/s at 300 m, with gusts up to 4.5 m/s. Icing event fault triggers at 200 seconds, reducing performance for 120 seconds. Thermal updrafts near (800, 600) may affect flight stability and energy use. Comms experience brief downlink loss between 450–460 seconds but remain mostly functional. Constraints include GNSS degradation, battery reserve requirement, and strict altitude and no-fly zone boundaries.","Fixed-wing with de-icing but no radar, high glide ratio","Quadcopter with thermal cameras, limited gust tolerance","Hybrid VTOL with dual GNSS, radar, and anti-icing","Solar-powered HAPS, lightweight, low battery margin","Ducted fan, high energy use, no thermal updraft benefit","Single GNSS RTK drone, low latency, no redundancy","Glider-type UAV, efficient but poor hover and control","[""Fixed-wing with de-icing but no radar, high glide ratio"", ""Quadcopter with thermal cameras, limited gust tolerance"", ""Hybrid VTOL with dual GNSS, radar, and anti-icing"", ""Solar-powered HAPS, lightweight, low battery margin"", ""Ducted fan, high energy use, no thermal updraft benefit"", ""Single GNSS RTK drone, low latency, no redundancy"", ""Glider-type UAV, efficient but poor hover and control""]","System C provides anti-icing, radar for poor visibility, and dual GNSS to mitigate multipath, ensuring navigation resilience. Its hybrid VTOL design enables precise control in gusts and urban canyons while maintaining 50m DAA compliance. Other systems lack fault tolerance, redundancy, or environmental adaptability under combined icing, wind, and GNSS degradation." 2025-11-01T17:59:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Warehouse_Inspection_Under_Rain_425fe9b0027e_mcq.json,uavbench-mcq-v1,HAPS_Warehouse_Inspection_Under_Rain,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,G,False,"At 200s, icing reduces lift while GNSS jamming hits -75 dBm. Which action maintains control and mission integrity?","High-altitude pseudo-satellite conducts warehouse inspection in a volcanic zone under rainy and icy conditions. Mission takes place within a defined polygonal airspace with minimum 50m and maximum 300m AGL altitude limits. Weather includes 8 m/s winds from 240°, gusts up to 4 m/s, poor visibility, rain, and icing conditions aloft. UAV is battery-powered with aerodynamic design optimized for efficiency and endurance at high altitude. Payload includes RGB camera, LiDAR, radar, and GNSS/IMU for navigation despite multipath and EM interference. No-fly zones include a static cylinder near the center and a moving exclusion zone drifting northwest. Dynamic obstacles include a horizontally drifting sphere and another UAV transiting the airspace. GNSS performance is degraded due to multipath effects and moderate jamming at -75 dBm. An icing event fault occurs at 200 seconds, reducing aerodynamic efficiency for one minute. Mission requires runway-aligned landing, must avoid NFZs, and complete within 600 seconds despite comms dropouts.",Switch to encrypted ADS-B with radar altimeter hold,Rely solely on unverified IMU dead reckoning for 90s,Disable LiDAR to save power during GNSS dropout,Accept unauthenticated command relay via public repeater,Increase control loop frequency to 200 Hz using GPS only,Descend below 50m AGL to avoid icing and jamming,Activate pre-verified inertial glide path with authenticated telemetry,"[""Switch to encrypted ADS-B with radar altimeter hold"", ""Rely solely on unverified IMU dead reckoning for 90s"", ""Disable LiDAR to save power during GNSS dropout"", ""Accept unauthenticated command relay via public repeater"", ""Increase control loop frequency to 200 Hz using GPS only"", ""Descend below 50m AGL to avoid icing and jamming"", ""Activate pre-verified inertial glide path with authenticated telemetry""]",G maintains control stability using pre-verified inertial navigation when GNSS is compromised by jamming and icing degrades aerodynamics. Authenticated telemetry ensures command integrity during comms dropouts. It avoids unsafe altitudes and preserves mission continuity without relying on untrusted signals. 2025-11-01T17:59:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Urban_Delivery_Scenario_2a39c65aa67c_mcq.json,uavbench-mcq-v1,HAPS_Urban_Delivery_Scenario,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"At 300m AGL, 16 m/s wind, and 455s into mission with 12,000 Wh battery, which action ensures safe, timely corridor transit with moving obstacles and signal dropout?","This is a high-altitude pseudo-satellite UAV conducting an urban delivery mission within a confined urban canyon airspace. The aircraft operates between 50 and 400 meters AGL, navigating a predefined corridor with a time budget of 600 seconds. Weather conditions include moderate winds of 8 m/s at ground level, increasing to 16 m/s at 300 meters, with wind direction shifting from 210° to 230° and poor visibility due to dust. The UAV is battery-powered with a 12,000 Wh capacity, carries a 5 kg payload, and is equipped with GNSS, radar, RGB camera, and inertial sensors. A no-fly zone cylinder is present at the center of the area, requiring active avoidance, and separation from other traffic must be maintained above 25 meters. The mission includes a moving spherical obstacle traveling westward at 5 m/s and another UAV flying north at 12 m/s. Communication experiences brief uplink/downlink dropouts between 100–105 and 450–460 seconds, with acceptable signal strength. The UAV must follow a flight pattern requiring runway alignment for landing at the preferred site near the threshold point. Constraints include GNSS multipath risks in urban canyons, dynamic obstacle avoidance, wind shear effects, and battery reserve requirements.",Descend immediately to 50m to avoid wind shear,Maintain current heading and speed for obstacle avoidance,Ascend to 400m for clearer GNSS signal and faster transit,Delay obstacle avoidance maneuver until after 460s,Offload payload data to nearby UAV for bandwidth savings,Adjust lateral path early to preempt moving obstacle at 5 m/s,Halt propulsion to conserve battery during signal dropout,"[""Descend immediately to 50m to avoid wind shear"", ""Maintain current heading and speed for obstacle avoidance"", ""Ascend to 400m for clearer GNSS signal and faster transit"", ""Delay obstacle avoidance maneuver until after 460s"", ""Offload payload data to nearby UAV for bandwidth savings"", ""Adjust lateral path early to preempt moving obstacle at 5 m/s"", ""Halt propulsion to conserve battery during signal dropout""]","The moving obstacle travels west at 5 m/s and must be avoided proactively within the tight corridor. Early lateral adjustment ensures safe separation from both the obstacle and the no-fly zone while preserving energy and communication windows. Other options risk collision, violate timing, or degrade coordination during dropouts." 2025-11-01T17:59:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Warehouse_Inspection_LowVisibility_0275151332b2_mcq.json,uavbench-mcq-v1,HAPS_Warehouse_Inspection_LowVisibility,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,Which path optimizes inspection time and safety at 150 m AGL with 10 m/s winds and a moving NFZ?,"This mission involves a high-altitude pseudo-satellite UAV conducting a warehouse inspection in a forested area under poor visibility and icing conditions. The UAV operates between 50 and 200 meters AGL within a defined polygonal geofence. Winds are strong, increasing with altitude from 8 m/s at ground level to 10 m/s at 100 meters, with westerly direction and gusts up to 4 m/s. The UAV is equipped with a comprehensive sensor suite including GNSS, IMU, radar, LiDAR, RGB and thermal cameras, supporting navigation and inspection tasks. Notable constraints include permanent and dynamic no-fly zones, with the latter moving across the airspace. GNSS performance is degraded due to multipath effects and moderate jamming at -75 dBm, compounded by electromagnetic interference. The UAV must also contend with reduced control effectiveness during a scheduled icing event lasting 60 seconds. Air traffic includes a single intruder UAV flying at 130 meters, requiring separation monitoring with a 25-meter threshold. Communication experiences brief downlink outages, and the mission must complete within 600 seconds while maintaining safety and navigation integrity.","Climb directly to 150 m, proceed east along shortest path","Descend to 50 m AGL to avoid icing, fly straight to target","Deviate north to bypass dynamic NFZ, maintain 130 m altitude",Follow geofence perimeter at 200 m AGL with wide turns,"Delay climb until past icing event, fly direct at 100 m",Reroute south under intruder’s 25 m separation buffer,"Hold hover at 150 m until NFZ passes, then resume east","[""Climb directly to 150 m, proceed east along shortest path"", ""Descend to 50 m AGL to avoid icing, fly straight to target"", ""Deviate north to bypass dynamic NFZ, maintain 130 m altitude"", ""Follow geofence perimeter at 200 m AGL with wide turns"", ""Delay climb until past icing event, fly direct at 100 m"", ""Reroute south under intruder’s 25 m separation buffer"", ""Hold hover at 150 m until NFZ passes, then resume east""]","Option C avoids the moving no-fly zone while maintaining optimal altitude for sensor performance and wind efficiency. It balances lateral deviation with minimal energy use and respects separation from the intruder at 130 m. Other options violate altitude constraints, increase exposure to icing, or extend mission time unacceptably." 2025-11-01T17:59:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Warehouse_Loiter_Rain_cb6726cbe447_mcq.json,uavbench-mcq-v1,HAPS_Warehouse_Loiter_Rain,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,"A high-altitude pseudo-satellite UAV operates at 18 m AGL with 30% battery reserve, icing for 90 s, and GNSS issues in a warehouse.","High-altitude pseudo-satellite UAV conducts a loiter mission inside a warehouse environment. The airspace is confined with a maximum altitude of 18 meters AGL and includes static and moving no-fly zones. Poor visibility due to rain and icing conditions impacts operations, with moderate wind and gusts increasing flight challenges. The UAV is equipped with radar, RGB camera, and standard navigation sensors, but lacks thermal and lidar capabilities. GNSS signals suffer from multipath and jamming, while electromagnetic interference and periodic comms downlink loss add complexity. The mission involves orbiting waypoints within a defined polygon, avoiding a dynamic no-fly zone and moving obstacles. A three-UAV swarm operates with minimum separation of 10 meters, requiring coordination between leader, follower, and relay roles. An icing fault occurs mid-mission, reducing performance for 90 seconds. Battery endurance is critical, with reserve power set at 30% to ensure safe return under adverse conditions.",Uses radar-only navigation to save power and maintain orbit,Switches to RGB-only guidance during comms loss,Relies on GNSS when available to reduce sensor load,Offloads processing to follower UAV to reduce latency,"Ascends to 20 m for better signal, risking collision",Halts orbit to conserve battery during icing fault,Fuses radar and dead reckoning with swarm coordination,"[""Uses radar-only navigation to save power and maintain orbit"", ""Switches to RGB-only guidance during comms loss"", ""Relies on GNSS when available to reduce sensor load"", ""Offloads processing to follower UAV to reduce latency"", ""Ascends to 20 m for better signal, risking collision"", ""Halts orbit to conserve battery during icing fault"", ""Fuses radar and dead reckoning with swarm coordination""]","Radar compensates for poor visibility and GNSS issues, while dead reckoning maintains navigation during signal loss. Swarm coordination ensures separation and role continuity during the 90-second icing fault. This option balances reliability, safety, and energy use without violating altitude or endurance constraints." 2025-11-01T17:59:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Waypoint_Survey_Lightning_Risk_dfc68b2c74dd_mcq.json,uavbench-mcq-v1,HAPS_Waypoint_Survey_Lightning_Risk,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 2,000 m AGL, 16 m/s wind from 250° and gusts up to 4 m/s challenge flight—optimal airspeed adjustment for grid survey?","High-altitude pseudo-satellite UAV conducts a grid survey mission in rural airspace between 1,500 and 3,000 meters AGL. The UAV is equipped with radar, RGB camera, and standard navigation sensors, powered entirely by battery. Mission unfolds under good visibility but with a high risk of lightning and electromagnetic interference. Wind increases with altitude, reaching 16 m/s from 250 degrees at 2,000 meters, with gusts up to 4 m/s. A static no-fly zone blocks the center of the operational area, while a dynamic no-fly zone moves southwest at 2.5 m/s. Another UAV and a moving spherical obstacle pose collision risks, requiring DAA compliance with 100-meter separation. GNSS jamming occurs between 120–165 seconds and lightning risk peaks at 300 seconds, challenging navigation and safety. The UAV must follow a runway-aligned approach for landing, with transition phases between VTOL and forward flight. Communication experiences brief uplink and downlink dropouts during the mission. Battery reserve is set at 30%, and mission success depends on completing waypoints within 600 seconds while avoiding faults and breaches.",Increase airspeed to 28 m/s to counteract gust loads,Reduce airspeed to 18 m/s to minimize drag,Maintain 24 m/s for optimal lift-to-drag ratio,"Descend to 1,800 m to avoid turbulence",Steer into wind at 250° with zero crab angle,Bank 30° to track crosswind leg efficiently,Pitch up 10° to increase angle of attack,"[""Increase airspeed to 28 m/s to counteract gust loads"", ""Reduce airspeed to 18 m/s to minimize drag"", ""Maintain 24 m/s for optimal lift-to-drag ratio"", ""Descend to 1,800 m to avoid turbulence"", ""Steer into wind at 250° with zero crab angle"", ""Bank 30° to track crosswind leg efficiently"", ""Pitch up 10° to increase angle of attack""]","Maintaining 24 m/s balances lift and drag while staying within the efficient flight envelope. At 2,000 m, air density reduces lift, so deviating from optimal speed increases power use or risk of stall. This setting ensures stability under gusts without exceeding structural or propulsion limits." 2025-11-01T17:59:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_ship_deck_delivery_crosswind_595e6a739006_mcq.json,uavbench-mcq-v1,HAPS_ship_deck_delivery_crosswind,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 200s, icing strikes at 400m AGL with 12m/s crosswind; comms degrade. Mission time is 380s elapsed. DAA alerts at 45m, 28s TTC to traffic. What's optimal?","This scenario involves a delivery mission using a high-altitude pseudo-satellite (HAPS) UAV operating within a powerline corridor. The UAV is equipped with radar, RGB camera, and standard navigation sensors, carrying a 5 kg payload. It must navigate between waypoints at altitudes between 100–600 m AGL while avoiding static and dynamic no-fly zones, including a moving obstacle and a drifting NFZ. Winds increase with altitude, reaching 15 m/s from 290° at 500 m, with gusts up to 4.2 m/s and crosswind conditions throughout. Icing conditions are present and a simulated icing event occurs at 200 seconds, reducing performance for one minute. Electromagnetic interference and periodic comms loss affect control and data links. The UAV must maintain separation from another UAV traffic operating in the corridor, with DAA thresholds set at 50 m and 30 s TTC. GNSS is available without multipath but experiences mild jamming at -95 dBm. The mission must be completed within 600 seconds, starting from a designated spawn point and ideally landing at the preferred site, with battery reserve preserved.",Descend to 100m to reduce icing and wind risk,Continue current path to meet 600s deadline,"Climb to 600m for smoother, clearer airflow",Abort mission and land at nearest safe zone,Eject 5kg payload to regain control stability,Fly toward populated area to get signal boost,Ignore DAA; prioritize corridor re-entry,"[""Descend to 100m to reduce icing and wind risk"", ""Continue current path to meet 600s deadline"", ""Climb to 600m for smoother, clearer airflow"", ""Abort mission and land at nearest safe zone"", ""Eject 5kg payload to regain control stability"", ""Fly toward populated area to get signal boost"", ""Ignore DAA; prioritize corridor re-entry""]","Safety of flight and separation are compromised by icing, wind, comms loss, and proximity to traffic. Preserving battery and avoiding risk to people or assets outweighs mission completion. Landing ensures compliance with emergency hierarchy and lawful operation under degraded conditions." 2025-11-01T17:59:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Hail-Resilient_VTOL_Tiltrotor_Delivery_in_Dense_Urban_561c00618518_mcq.json,uavbench-mcq-v1,Hail-Resilient_VTOL_Tiltrotor_Delivery_in_Dense_Urban,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 80 m AGL, 12 m/s headwind shifts direction; battery at 45% Wh, 2 kg payload. Optimal airspeed and tilt angle to balance lift, drag, and energy?","This scenario involves a package delivery mission using a VTOL tiltrotor UAV in a dense urban environment. The UAV operates within a defined airspace bounded by a ground floor at 10 meters and a ceiling at 120 meters AGL. It is equipped with a 2 kg payload and powered solely by an 1800 Wh battery, requiring careful energy management. The mission takes place under adverse weather conditions, including strong winds up to 12 m/s, gusts, poor visibility, and active hail. A wind gradient is present, increasing in speed and shifting direction with altitude. The UAV carries comprehensive sensors including GNSS, IMU, lidar, radar, and RGB camera, but faces GNSS multipath, signal jamming, and electromagnetic interference. The urban airspace contains static and moving no-fly zones, with one dynamic cylinder obstacle drifting across the flight path. The UAV must maintain separation from traffic and avoid a moving spherical obstacle while adhering to DAA thresholds of 25 meters and 15 seconds TTC. A communication link with periodic downlink losses and low RSSI is assumed, and an icing event occurs mid-mission, affecting performance. The mission requires runway-assisted transitions between flight modes and must be completed within a 600-second time budget.","Increase airspeed to 22 m/s, rotors at 60° tilt","Maintain 18 m/s, rotors at 75° tilt","Reduce airspeed to 14 m/s, rotors at 45° tilt","Increase airspeed to 24 m/s, rotors vertical","Reduce airspeed to 12 m/s, rotors at 90° tilt","Maintain 18 m/s, rotors at 30° tilt","Increase pitch to 15°, rotors at 60° tilt, no throttle change","[""Increase airspeed to 22 m/s, rotors at 60° tilt"", ""Maintain 18 m/s, rotors at 75° tilt"", ""Reduce airspeed to 14 m/s, rotors at 45° tilt"", ""Increase airspeed to 24 m/s, rotors vertical"", ""Reduce airspeed to 12 m/s, rotors at 90° tilt"", ""Maintain 18 m/s, rotors at 30° tilt"", ""Increase pitch to 15°, rotors at 60° tilt, no throttle change""]","At 80 m AGL with wind shift, higher airspeed increases Reynolds number, improving aerodynamic efficiency and control authority. A 60° tilt balances lift generation and forward thrust, reducing induced drag while maintaining vertical lift margin. Other options either under-tilt (excess drag), over-tilt (insufficient lift), or reduce airspeed below efficient cruise, increasing power consumption." 2025-11-01T17:59:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HarborOps_Hexacopter_Suburban_Lightning_e62071ca194b_mcq.json,uavbench-mcq-v1,HarborOps_Hexacopter_Suburban_Lightning,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"At 395s, motor fails and comms lost; which action ensures safe return with 30% battery reserve?","This is an inspection mission using a battery-powered hexacopter in a suburban airspace. The UAV carries an RGB camera and LiDAR payload for data collection. It operates within a 500m x 500m geofenced area with a maximum altitude of 120m AGL. A cylindrical no-fly zone is centered at (250, 250) with a 50m radius and 80m ceiling. Winds are from 240 degrees at 6.5 m/s with gusts up to 3.2 m/s, and there is a lightning risk. The UAV must avoid a moving spherical obstacle and maintain 25m separation from other traffic. GNSS jamming occurs at 200 seconds, lasting 30 seconds, and a motor fails permanently at 400 seconds. Communication losses happen between 180–210 and 390–420 seconds. The mission requires completing a corridor pattern within 600 seconds and returning safely despite faults. Battery reserve is set to 30%, and ending energy is a key performance metric.",Continue scanning; use LiDAR for terrain-relative navigation,Climb to 120m for better GNSS signal post-jamming,"Initiate immediate return via shortest path, descending to 80m",Hover at current position until communication restores at 420s,Transfer payload control to nearby agent; proceed to recovery zone,"Enter loiter pattern, conserving energy until motor cools","Accelerate mission end, ignoring corridor completion","[""Continue scanning; use LiDAR for terrain-relative navigation"", ""Climb to 120m for better GNSS signal post-jamming"", ""Initiate immediate return via shortest path, descending to 80m"", ""Hover at current position until communication restores at 420s"", ""Transfer payload control to nearby agent; proceed to recovery zone"", ""Enter loiter pattern, conserving energy until motor cools"", ""Accelerate mission end, ignoring corridor completion""]","C ensures fault-adaptive repositioning and energy-aware return within timing and altitude constraints. It maintains safe separation and respects battery reserve despite lost comms and motor failure. Other options either waste time, exceed energy budget, or depend on non-functional systems or absent agents." 2025-11-01T17:59:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Aerial_Mapping_with_Helicopter_UAV_be150f7400a8_mcq.json,uavbench-mcq-v1,Harbor_Aerial_Mapping_with_Helicopter_UAV,minimax/minimax-m1,9,Comparative System Reasoning,7,?,E,False,"Which UAV system best handles 8 m/s winds, icing, and GNSS issues during harbor mapping at 10–120 m AGL?","This mission involves aerial mapping of a harbor area using a single battery-powered helicopter UAV equipped with RGB camera and radar sensors. The operation takes place in a defined rectangular airspace with a minimum altitude of 10 meters AGL and a maximum of 120 meters AGL. Weather conditions include strong winds at 8 m/s from 210 degrees, gusts up to 4 m/s, poor visibility, and hazardous phenomena such as hail and icing conditions. The UAV must navigate around a static no-fly zone near the center of the harbor and avoid a moving no-fly cylinder drifting westward. Additional challenges include GNSS multipath effects, electromagnetic interference, and brief communication loss windows. A thermal updraft is present near the southern edge of the harbor, which may affect flight stability. The UAV follows a grid pattern mapping mission with five designated waypoints, requiring precise navigation within tight separation thresholds of 25 meters and 15 seconds time-to-collision for detect-and-avoid compliance. An icing fault event occurs mid-mission, reducing performance for one minute. The flight begins from a fixed spawn point and must return to a preferred landing site unless an emergency arises.",Fixed-wing with long endurance but poor low-speed stability,Quadcopter with high agility but limited wind resistance,Hexacopter with redundancy but excessive power consumption,Gas-powered helicopter with high payload but no de-icing,Battery-powered helicopter with radar and de-icing capability,Solar UAV with extended flight time but low gust tolerance,VTOL with GNSS backup but insufficient sensor integration,"[""Fixed-wing with long endurance but poor low-speed stability"", ""Quadcopter with high agility but limited wind resistance"", ""Hexacopter with redundancy but excessive power consumption"", ""Gas-powered helicopter with high payload but no de-icing"", ""Battery-powered helicopter with radar and de-icing capability"", ""Solar UAV with extended flight time but low gust tolerance"", ""VTOL with GNSS backup but insufficient sensor integration""]","The battery-powered helicopter supports de-icing, precise low-altitude control, and integrated radar for GNSS-denied environments. It balances endurance, sensor suite, and fault tolerance during the icing event and strong winds. Other options fail in gust tolerance, redundancy, or environmental adaptability." 2025-11-01T17:59:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Hail-Resilient_VTOL_Tiltrotor_Inspection_in_Industrial_Plant_1b769fcc226d_mcq.json,uavbench-mcq-v1,Hail-Resilient_VTOL_Tiltrotor_Inspection_in_Industrial_Plant,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"At 120s, icing begins at 120m AGL with winds 14 m/s; UAV must inspect WP3, avoid dynamic NFZ, and land on heading 260° runway.","This is an inspection mission using a VTOL tiltrotor UAV in an industrial plant environment. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Operations occur within a confined airspace bounded by a polygonal geofence, with a minimum altitude of 5 meters and a maximum of 120 meters AGL. A static no-fly zone surrounds a central facility, and a dynamic no-fly zone moves through the area, requiring real-time avoidance. The mission must contend with strong winds up to 14 m/s, increasing with altitude, and wind direction shifts from west to northwest. Hail and poor visibility create hazardous flight conditions, compounded by an icing event simulated at 120 seconds into the flight. GNSS performance is degraded due to multipath effects, jamming at -75 dBm, and electromagnetic interference. The UAV must follow a corridor inspection pattern across five waypoints and land on a designated runway aligned with heading 260°. Separation from a moving obstacle and another UAV is required, with a minimum separation threshold of 25 meters. Battery endurance and communication losses during two downlink windows add further operational constraints.","Maintain 120m, continue to WP3, then land","Descend to 60m, proceed to WP3, resume pattern","Abort mission, divert directly to runway","Climb to 130m to avoid icing, fly to WP3",Hover at current position until icing ends,"Fly to WP4 first, then WP3, then land","Descend to 40m, avoid dynamic NFZ, land immediately","[""Maintain 120m, continue to WP3, then land"", ""Descend to 60m, proceed to WP3, resume pattern"", ""Abort mission, divert directly to runway"", ""Climb to 130m to avoid icing, fly to WP3"", ""Hover at current position until icing ends"", ""Fly to WP4 first, then WP3, then land"", ""Descend to 40m, avoid dynamic NFZ, land immediately""]","Icing at 120m and strong winds make high-altitude flight hazardous; descending to 60m avoids icing threshold and reduces wind exposure while staying above 5m minimum. This maintains mission progress toward WP3 within altitude, separation, and endurance constraints, balancing risk and compliance." 2025-11-01T17:59:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Area_Recon_with_Fixed-Wing_UAV_bc3855673894_mcq.json,uavbench-mcq-v1,Harbor_Area_Recon_with_Fixed-Wing_UAV,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"At 405 s, with downlink loss and 10 m/s wind shear, how should the UAV adjust altitude and speed to maintain separation and coverage?","Fixed-wing UAV conducts harbor area reconnaissance mission in controlled airspace with a maximum altitude of 150 m AGL and minimum of 30 m AGL. The UAV operates in good visibility with moderate wind at 6 m/s from 210°, increasing to 10 m/s at higher altitudes with shifting direction. Equipped with RGB camera payload and standard navigation sensors, the UAV avoids a central no-fly zone cylinder near the harbor. Mission follows a corridor pattern with five waypoints, requiring runway-aligned takeoff and landing due to fixed-wing constraints. A moving spherical obstacle travels westward at 5 m/s, simulating dynamic hazards like ships or cranes. Another UAV is present in the airspace, necessitating separation monitoring with 25 m minimum distance and 15 s time-to-closest-approach thresholds. Communication includes a brief downlink loss window between 400–410 seconds, with generally stable link quality. The UAV must manage battery reserves carefully over the 600-second mission within a rectangular geofenced area. Wind shear across altitude layers affects flight efficiency and trajectory planning. Mission success depends on avoiding NFZ breaches, maintaining separation, and completing the waypoint route within altitude and time constraints.",Climb to 140 m to reduce wind impact and extend comms range,Descend to 40 m to avoid wind shear and save battery,Hold 120 m and increase speed by 3 m/s to exit downlink zone faster,Turn east to follow the other UAV and share sensor data,Reduce speed to 8 m/s and drift west with the moving obstacle,Ascend to 150 m and delay waypoint transition until 410 s,Match altitude with other UAV at 100 m for tighter formation,"[""Climb to 140 m to reduce wind impact and extend comms range"", ""Descend to 40 m to avoid wind shear and save battery"", ""Hold 120 m and increase speed by 3 m/s to exit downlink zone faster"", ""Turn east to follow the other UAV and share sensor data"", ""Reduce speed to 8 m/s and drift west with the moving obstacle"", ""Ascend to 150 m and delay waypoint transition until 410 s"", ""Match altitude with other UAV at 100 m for tighter formation""]","Maintaining 120 m AGL stays within safe altitude bounds and avoids wind shear effects near 150 m. Increasing speed ensures timely exit from the communication blind window at 400–410 s while preserving separation. This balances mission timing, link reliability, and coordination without compromising safety or coverage." 2025-11-01T17:59:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Battery_Emergency_Landing_0ee53221c86e_mcq.json,uavbench-mcq-v1,Harbor_Battery_Emergency_Landing,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 400 s, motor fails (50% thrust) and comms drop for 40 s—how should control respond to maintain stability and security?","Hexacopter UAV conducts a harbor survey mission in coastal airspace with good visibility and moderate winds from 210° at 8.5 m/s with gusts up to 4.2 m/s. The aircraft is equipped with RGB camera payload and standard navigation sensors but lacks thermal or radar systems. Mission involves flying a corridor pattern through a constrained airspace bounded by static and moving no-fly zones, including a dynamic exclusion zone drifting southwest. An emergency landing site is designated near the southeast corner of the operational area. The UAV must maintain separation of at least 25 meters from other traffic, with a time-to-collision threshold of 15 seconds. A manned intruder UAV enters from the north, flying westward above the operational zone, requiring deconfliction. A moving spherical obstacle travels westward at 2 m/s through the central airspace, adding navigation complexity. At 400 seconds, a partial motor failure occurs, reducing propulsion efficiency by 50% for one minute, coinciding with a 40-second communication loss. Battery reserve is set to 30%, and the hexacopter must complete the mission within 600 seconds while avoiding GNSS multipath effects near harbor structures.",Switch to preloaded inertial trajectory with encrypted heartbeat,Await reconnection before any course adjustment,Disable GNSS and rely solely on unsecured visual odometry,Increase throttle on remaining motors without load balancing,Broadcast position via unencrypted open telemetry for tracking,Hand over control to nearest ground node using default credentials,Activate emergency hover with open-loop actuator commands,"[""Switch to preloaded inertial trajectory with encrypted heartbeat"", ""Await reconnection before any course adjustment"", ""Disable GNSS and rely solely on unsecured visual odometry"", ""Increase throttle on remaining motors without load balancing"", ""Broadcast position via unencrypted open telemetry for tracking"", ""Hand over control to nearest ground node using default credentials"", ""Activate emergency hover with open-loop actuator commands""]","A maintains control stability using trusted inertial navigation during GNSS and comms outages, while encrypted heartbeat preserves command integrity. It mitigates spoofing and jamming risks by avoiding external signals and ensures safe continuation until comms restore. Other options either expose cyber vulnerabilities or degrade flight stability under partial propulsion." 2025-11-01T17:59:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Border_Patrol_with_Swarm_Drones_in_Hot_Conditions_86ed7cc434a6_mcq.json,uavbench-mcq-v1,Harbor_Border_Patrol_with_Swarm_Drones_in_Hot_Conditions,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"In 35°C weather with gusts, how should drones adjust climb rate and separation to maintain 15 m spacing and 30% battery reserve?","This mission involves a swarm of four drones conducting a harbor border patrol survey in hot weather conditions with moderate wind and gusts. The operation takes place in a defined harbor airspace with a maximum altitude of 150 meters AGL and a minimum of 10 meters. The UAVs are multirotor swarm drones equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, optimized for surveillance. The swarm must follow a corridor survey pattern while avoiding a static no-fly zone near the center and a moving no-fly zone drifting southwest. A single intruder UAV and a moving spherical obstacle add complexity to the environment, requiring strict separation and dynamic avoidance. GNSS signals may experience multipath effects due to the harbor's reflective structures, challenging navigation accuracy. The drones operate under tight battery constraints with a 30% reserve requirement, limiting available energy for extended loitering. They must maintain a minimum 15-meter inter-drone separation and comply with a 25-meter DAA separation threshold. Launch occurs from a designated point with a preferred return-to-home landing site and an emergency alternative. The mission emphasizes safe, coordinated swarm flight under environmental and spatial constraints while completing the route within a 10-minute time budget.",Increase vertical speed by 20% to overcome downdrafts,Reduce horizontal speed to minimize drag in high density altitude,Bank 15° during turns to reduce turn radius in narrow corridors,Descend to 10 m AGL to exploit ground effect and save power,Accelerate into headwinds to maintain groundspeed for survey timing,Climb to 150 m for smoother air and better GNSS reception,Hover intermittently to recalibrate sensors after wind gusts,"[""Increase vertical speed by 20% to overcome downdrafts"", ""Reduce horizontal speed to minimize drag in high density altitude"", ""Bank 15° during turns to reduce turn radius in narrow corridors"", ""Descend to 10 m AGL to exploit ground effect and save power"", ""Accelerate into headwinds to maintain groundspeed for survey timing"", ""Climb to 150 m for smoother air and better GNSS reception"", ""Hover intermittently to recalibrate sensors after wind gusts""]","Higher temperature reduces air density, increasing induced drag and rotor loading. Reducing horizontal speed lowers power demand, conserving battery while maintaining lift. This balances aerodynamic efficiency with swarm separation and mission endurance." 2025-11-01T17:59:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Aerial_Mapping_with_Solar_Wing_UAV_54990b4bc508_mcq.json,uavbench-mcq-v1,Harbor_Aerial_Mapping_with_Solar_Wing_UAV,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which system ensures safe harbor mapping at 60 m AGL with 8.5 m/s winds, icing, and GNSS degradation?","This scenario involves a harbor aerial mapping mission using a fixed-wing solar wing UAV equipped with RGB and thermal cameras. The flight occurs in a coastal harbor environment with defined airspace boundaries and a strict altitude range between 30 and 150 meters AGL. Weather conditions include moderate winds of 8.5 m/s from 210 degrees, increasing with altitude, gusts up to 4 m/s, and icing conditions that activate mid-mission. The UAV is a battery-powered, long-endurance solar wing type optimized for efficient cruising and carrying a 1.2 kg payload. Key constraints include a static no-fly zone near the center of the harbor and a moving no-fly zone drifting southwest, requiring dynamic avoidance. GNSS signals are degraded due to multipath effects and electromagnetic interference, with occasional communication dropouts. The mission follows a grid pattern across four waypoints at 60 meters altitude, requiring a runway takeoff and landing at a designated threshold. A single traffic UAV approaches head-on, and a moving spherical obstacle drifts through the airspace, necessitating separation monitoring. The UAV must manage battery reserves, icing effects on aerodynamics, and maintain safe distances while completing the mapping task within 900 seconds. Success depends on navigating environmental hazards, avoiding conflicts, and landing safely despite GNSS and comms challenges.",Standard GPS-only navigation with basic autopilot,Dual RTK-GNSS with adaptive grid flight planning,Vision-aided INS with solar recharge and obstacle avoidance,Pre-programmed route without real-time sensor input,RF-based guidance relying on continuous ground link,Thermal-camera-only navigation during icing conditions,Acoustic sensors for altitude hold in multipath zones,"[""Standard GPS-only navigation with basic autopilot"", ""Dual RTK-GNSS with adaptive grid flight planning"", ""Vision-aided INS with solar recharge and obstacle avoidance"", ""Pre-programmed route without real-time sensor input"", ""RF-based guidance relying on continuous ground link"", ""Thermal-camera-only navigation during icing conditions"", ""Acoustic sensors for altitude hold in multipath zones""]","Vision-aided INS maintains accuracy during GNSS dropouts and compensates for multipath. Solar recharge extends endurance under 900-second battery constraints. It integrates obstacle detection for dynamic no-fly zones and mitigates icing-induced drag through real-time control adjustments, ensuring safe landing." 2025-11-01T17:59:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Delivery_with_VTOL_Tiltrotor_393bc001d522_mcq.json,uavbench-mcq-v1,Harbor_Delivery_with_VTOL_Tiltrotor,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"A VTOL tiltrotor carries 1.5 kg in harbor winds of 7–10 m/s; GNSS degrades at -85 dBm. What balances energy, safety, and navigation near the no-fly zone?","This scenario involves a delivery mission using a VTOL tiltrotor UAV in a harbor airspace. The UAV is equipped with a battery-powered propulsion system and carries a 1.5 kg payload, relying on sensors including GNSS, IMU, lidar, and RGB camera. It operates within an altitude range of 5 to 120 meters AGL, navigating a predefined corridor of waypoints while avoiding a cylindrical no-fly zone centered at (100, 75) with a 20-meter radius. The harbor environment features moderate wind at 7 m/s from 230 degrees, increasing to 10 m/s at 50 meters altitude with a shifted direction, along with gusts of 4.5 m/s. GNSS signals are degraded due to multipath effects and mild jamming at -85 dBm, posing navigation challenges. A moving spherical obstacle drifts eastward at 2 m/s near the center of the airspace, requiring dynamic avoidance. The UAV must maintain a minimum separation of 25 meters from traffic, monitored via DAA systems, with a time-to-collision threshold of 20 seconds. Communication links experience two brief loss windows, at 120–130 seconds and 450–465 seconds, with minimum RSSI at -92 dBm. The mission requires use of a runway aligned at 230 degrees for approach and departure, and the UAV must complete its task within a 600-second time budget while managing energy to retain a 30% battery reserve.",Climb to 120 m for clear GNSS and wind stability,Descend to 5 m to minimize wind exposure and power,"Fly direct at 60 m, prioritizing time over safety margins",Drift east with obstacle to reduce avoidance maneuvers,"Approach runway at 230° at 30 m, using lidar for guidance",Hover for 20 s to reacquire GNSS during first comms loss,Increase speed to 15 m/s to exit no-fly zone rapidly,"[""Climb to 120 m for clear GNSS and wind stability"", ""Descend to 5 m to minimize wind exposure and power"", ""Fly direct at 60 m, prioritizing time over safety margins"", ""Drift east with obstacle to reduce avoidance maneuvers"", ""Approach runway at 230° at 30 m, using lidar for guidance"", ""Hover for 20 s to reacquire GNSS during first comms loss"", ""Increase speed to 15 m/s to exit no-fly zone rapidly""]","Flying at 30 m balances aerodynamic efficiency and clearance from gusts, while aligning with the runway at 230° ensures safe approach under degraded GNSS. Lidar use compensates for GNSS issues, maintains separation, and conserves energy within the time and battery constraints." 2025-11-01T17:59:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Disaster_Recon_with_Heavy_Lift_UAV_7e810aa4fb35_mcq.json,uavbench-mcq-v1,Harbor_Disaster_Recon_with_Heavy_Lift_UAV,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,F,False,"At 40% icing severity and 12 m/s winds at 100 m, how should the UAV adapt navigation during a 30-second GNSS outage?","Heavy lift UAV conducts disaster reconnaissance in a harbor airspace under poor visibility and severe weather including hail and icing conditions. The mission is a search and rescue operation following a corridor pattern across five waypoints within a 600-second time limit. The UAV operates between 10 and 120 meters AGL, equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. Strong winds increase with altitude, reaching 12 m/s at 100 m, with shifting direction and gusts up to 4 m/s. GNSS signals suffer from multipath effects and jamming at -85 dBm, with a planned 30-second GNSS outage during flight. An active no-fly zone and a moving no-fly cylinder must be avoided, along with a dynamic spherical obstacle. A second UAV enters the airspace from the southeast at 15 m/s, requiring 25-meter separation to avoid DAA breaches. The UAV spawns at 50,50,30 and must return to its preferred landing site unless an emergency arises. Icing conditions at 40% severity occur mid-mission, reducing performance, and communication dropouts are expected at 180 and 360 seconds. Battery reserves are set to 30%, and the UAV must manage energy carefully under high drag and weather challenges.",Rely solely on GNSS due to strong signal at -85 dBm,Switch to IMU-only dead reckoning for full outage duration,Fuse LiDAR with thermal odometry during outage,Use RGB optical flow at 120 m AGL for drift correction,Depend on magnetic heading with no compass calibration,Increase reliance on visual-inertial fusion with LiDAR aiding,Navigate using wind speed predictions from spawn point,"[""Rely solely on GNSS due to strong signal at -85 dBm"", ""Switch to IMU-only dead reckoning for full outage duration"", ""Fuse LiDAR with thermal odometry during outage"", ""Use RGB optical flow at 120 m AGL for drift correction"", ""Depend on magnetic heading with no compass calibration"", ""Increase reliance on visual-inertial fusion with LiDAR aiding"", ""Navigate using wind speed predictions from spawn point""]","Visual-inertial fusion compensates for GNSS multipath and outage while LiDAR adds terrain-relative correction. At 40% icing and poor visibility, this fusion maintains positioning integrity. IMU drift is minimized by cross-sensor alignment, ensuring safe corridor tracking amid wind gusts and dynamic obstacles." 2025-11-01T17:59:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Disaster_Reconnaissance_Under_Icing_Conditions_d8149e7e4603_mcq.json,uavbench-mcq-v1,Harbor_Disaster_Reconnaissance_Under_Icing_Conditions,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 200s, icing degrades control while 6.5 m/s winds gust and visibility drops. Which action maintains corridor tracking and obstacle avoidance?","This is a search and rescue mission conducted by a single quadrotor UAV in a harbor environment. The UAV is equipped with RGB and thermal cameras for payload, relying on battery power with moderate endurance. Operations occur within a defined polygonal airspace bounded between 10 and 120 meters AGL, featuring a cylindrical no-fly zone near the center. The mission involves flying a corridor pattern across four waypoints at 30 meters altitude within a 10-minute time budget. Weather conditions include poor visibility, 6.5 m/s winds from 240 degrees with gusts, and active icing conditions that temporarily degrade performance. A moving spherical obstacle travels westward at 2 m/s, requiring dynamic avoidance. The UAV must maintain separation from another traffic UAV entering the airspace and avoid GNSS multipath risks common in harbor structures. Communication experiences a brief downlink loss window, and the UAV faces a simulated icing event at 200 seconds into the mission. Key constraints include geofence compliance, battery reserve management, and maintaining safe separation from obstacles and other traffic.",Switch to GNSS-only navigation,Rely solely on thermal camera SLAM,Activate IMU-visual fusion with baro aid,Descend to 10m for wind shelter,Hold position using RGB optical flow,Increase speed to exit icing zone,Reset heading using magnetic compass,"[""Switch to GNSS-only navigation"", ""Rely solely on thermal camera SLAM"", ""Activate IMU-visual fusion with baro aid"", ""Descend to 10m for wind shelter"", ""Hold position using RGB optical flow"", ""Increase speed to exit icing zone"", ""Reset heading using magnetic compass""]","IMU-visual fusion compensates for GNSS multipath and icing-induced drift, while barometric aiding maintains altitude stability in gusty winds. Thermal and RGB inputs fused with inertial data preserve obstacle tracking in poor visibility. Other options fail due to magnetic interference, sensor occlusion, or violation of geofence and separation constraints." 2025-11-01T17:59:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Firefighting_Drop_with_Amphibious_UAV_ec5dfacb2f44_mcq.json,uavbench-mcq-v1,Harbor_Firefighting_Drop_with_Amphibious_UAV,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Which path optimally balances water drop coverage, 5–120 m AGL limits, and 25 m separation from oncoming UAV at 11 m/s crosswind?","This scenario involves a firefighting mission using an amphibious fixed-wing VTOL UAV equipped with thermal and RGB cameras, operating in a harbor environment. The UAV must perform water drops along a corridor pattern near a fire zone while adhering to strict altitude limits between 5 and 120 meters AGL. Strong crosswinds up to 11 m/s create challenging flight conditions, especially during low-altitude maneuvers near the water surface. The UAV has a battery capacity of 1200 Wh and carries a 3 kg payload, limiting its endurance and requiring efficient path planning. A cylindrical no-fly zone blocks the central area, and a moving obstacle simulates drifting debris, requiring real-time avoidance. The mission demands runway-assisted takeoff and landing, with preferred and emergency landing sites defined at opposite ends of the harbor. Traffic includes another UAV approaching head-on, enforcing separation requirements of at least 25 meters or 15 seconds time-to-closest-approach. GNSS signals may suffer multipath interference from surrounding structures, and communication experiences brief dropouts. The UAV must complete its mission within 600 seconds while avoiding geofence breaches, collisions, and separation violations. Success is measured by mission completion, safety events, battery reserve, and link quality.","Direct corridor run at 10 m AGL, ignoring crosswind drift",S-turn pattern below 5 m AGL near fire zone,"Offset parallel passes at 45 m AGL, 30° into wind",Ascend to 120 m AGL for faster transit between drops,Descend to 3 m AGL for precise drop targeting,Sharp turn into NFZ to avoid oncoming UAV,Hover and wait 20 seconds for traffic to clear,"[""Direct corridor run at 10 m AGL, ignoring crosswind drift"", ""S-turn pattern below 5 m AGL near fire zone"", ""Offset parallel passes at 45 m AGL, 30° into wind"", ""Ascend to 120 m AGL for faster transit between drops"", ""Descend to 3 m AGL for precise drop targeting"", ""Sharp turn into NFZ to avoid oncoming UAV"", ""Hover and wait 20 seconds for traffic to clear""]","Flying at 45 m AGL stays within safe altitude bounds and compensates for 11 m/s crosswind with a wind-aligned heading, reducing drift-induced errors. The offset parallel route ensures full coverage while maintaining 25 m lateral separation from the oncoming UAV. Other options violate AGL limits, enter the NFZ, waste time, or increase collision risk during communication dropouts." 2025-11-01T17:59:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Firefighting_Drop_with_Fixed-Wing_UAV_f6c7ea86034e_mcq.json,uavbench-mcq-v1,Harbor_Firefighting_Drop_with_Fixed-Wing_UAV,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"At 8 m/s wind from 240°, 150 m AGL, and 2.8 m/s moving obstacle, which airspeed and pitch trim balance lift, drag, and obstacle avoidance?","Fixed-wing UAV conducts a firefighting drop mission in a harbor airspace. The UAV operates within a defined altitude range of 30 to 150 meters AGL. Weather includes 8 m/s winds from 240° with gusts up to 4 m/s and a risk of lightning. The UAV is equipped with radar, RGB and thermal cameras for situational awareness. A no-fly zone cylinder is present at the center of the airspace, requiring avoidance. The mission involves navigating a corridor pattern through four waypoints under a 10-minute time budget. A moving spherical obstacle travels diagonally across the area at 2.8 m/s. Another UAV enters the airspace from the east, requiring separation of at least 50 meters. GNSS jamming occurs at 200 seconds, lasting 15 seconds with partial signal degradation. The UAV must return to use a runway for landing, constrained by heading and threshold position.","Increase airspeed to 25 m/s, reduce angle of attack","Maintain 18 m/s, increase pitch to climb rapidly","Decrease airspeed to 12 m/s, hold level flight",Bank 45° while descending to cut across obstacle path,"Reduce thrust 30%, dive at 10° for clearance",Hold 20 m/s with 5° up-pitch to offset headwind,Hover at 150 m using vertical thrust components,"[""Increase airspeed to 25 m/s, reduce angle of attack"", ""Maintain 18 m/s, increase pitch to climb rapidly"", ""Decrease airspeed to 12 m/s, hold level flight"", ""Bank 45° while descending to cut across obstacle path"", ""Reduce thrust 30%, dive at 10° for clearance"", ""Hold 20 m/s with 5° up-pitch to offset headwind"", ""Hover at 150 m using vertical thrust components""]","Holding 20 m/s with 5° up-pitch balances lift and induced drag under headwind, maintaining Reynolds number for control. The wind from 240° creates a headwind component that increases effective airspeed, requiring reduced angle of attack to avoid stall. Option F optimizes aerodynamic efficiency while ensuring obstacle and no-fly zone clearance within mission time." 2025-11-01T17:59:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_in_Mountainous_Airspace_with_Microburst_Risk_2ec8ecc4b0c6_mcq.json,uavbench-mcq-v1,Bridge_Inspection_in_Mountainous_Airspace_with_Microburst_Risk,minimax/minimax-m1,9,Comparative System Reasoning,7,A,A,True,"Which UAV configuration best balances endurance, obstacle avoidance, and stability in 15 m/s winds and icing at 300 m AGL?","This is a bridge inspection mission in mountainous terrain using a fixed-wing glider UAV equipped with RGB camera and LiDAR payload. The flight occurs in controlled airspace with a maximum altitude of 300 m AGL and a geofenced operational zone. A static no-fly zone surrounds the bridge structure, and a dynamic no-fly zone moves through the area, requiring real-time avoidance. Winds increase with altitude, reaching 15 m/s from the west, with gusts and a risk of microbursts creating turbulence hazards. GNSS multipath effects are present due to rugged terrain, potentially degrading positioning accuracy. The UAV must navigate a corridor pattern along five waypoints within a 10-minute time limit, avoiding a moving obstacle and conflicting traffic. An icing event reduces aerodynamic efficiency during the mission's second half, increasing stall risk. Thermal updrafts near mid-field may assist lift but require careful energy management. Strict separation standards (50 m, 20 s TTC) apply for collision avoidance with other air traffic.","Fixed-wing with de-icing, LiDAR, and GNSS/INS fusion",Quadcopter with heavy LiDAR and visual avoidance,"Glider with maximum glide ratio, no de-icing","Fixed-wing with GPS-only navigation, low wing loading",Hybrid VTOL with dual RTK and radar obstacle detection,"Glider with thermal tracking, basic GPS, no redundancy","Fixed-wing with LiDAR, no wind compensation algorithm","[""Fixed-wing with de-icing, LiDAR, and GNSS/INS fusion"", ""Quadcopter with heavy LiDAR and visual avoidance"", ""Glider with maximum glide ratio, no de-icing"", ""Fixed-wing with GPS-only navigation, low wing loading"", ""Hybrid VTOL with dual RTK and radar obstacle detection"", ""Glider with thermal tracking, basic GPS, no redundancy"", ""Fixed-wing with LiDAR, no wind compensation algorithm""]","System A integrates de-icing to maintain aerodynamic efficiency and uses GNSS/INS fusion to counter multipath and maintain navigation accuracy. It balances energy efficiency with obstacle detection and stability in high winds, meeting separation and timing constraints. Other systems lack critical redundancy, environmental adaptability, or suffer from poor energy management under icing and turbulence." 2025-11-01T17:59:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Glider_Snowfall_Survey_1c65b1443c60_mcq.json,uavbench-mcq-v1,Harbor_Glider_Snowfall_Survey,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"At 120s, icing reduces lift for 45s amid snowfall, 7–11 m/s winds, and GNSS jamming. How to maintain navigation integrity?","This is a coastal survey mission using a fixed-wing glider UAV equipped with an RGB camera and standard sensors. The flight occurs in poor visibility due to snowfall, with icing conditions and moderate wind increasing from 7 m/s at ground level to 11 m/s at 200 m altitude. The UAV operates within a defined airspace polygon between 10 m and 180 m AGL, avoiding two no-fly zones—one static and one moving—near a designated runway. A dynamic obstacle moves through the area, requiring real-time avoidance, while another UAV flies on a crossing path. GNSS signals suffer from multipath and moderate jamming, and electromagnetic interference is present. The mission requires a runway takeoff and landing, with a time budget of 600 seconds to complete the corridor survey pattern. Battery reserves are set at 30%, and energy consumption is affected by drag and maneuvering in gusty conditions. An icing event is simulated at 120 seconds, reducing performance for 45 seconds. Communication links experience brief dropouts, and strict separation standards must be maintained to avoid collisions. The primary objectives are successful survey completion, safe operation, and adherence to airspace and separation constraints.",Rely solely on GNSS until signal degrades,Switch to IMU-only dead reckoning for 45s,Increase camera frame rate to compensate for snow,Fuse visual odometry with tightly-coupled IMU during GNSS dropouts,Descend to 10 m AGL to reduce wind exposure,Use magnetometer heading to align trajectory fixes,Activate return-to-home on first communication dropout,"[""Rely solely on GNSS until signal degrades"", ""Switch to IMU-only dead reckoning for 45s"", ""Increase camera frame rate to compensate for snow"", ""Fuse visual odometry with tightly-coupled IMU during GNSS dropouts"", ""Descend to 10 m AGL to reduce wind exposure"", ""Use magnetometer heading to align trajectory fixes"", ""Activate return-to-home on first communication dropout""]",Visual-IMU fusion mitigates GNSS multipath and jamming while compensating for IMU drift. It maintains pose accuracy during icing-induced turbulence and poor visibility. This adaptive fusion ensures robust navigation within tight airspace constraints despite sensor degradation. 2025-11-01T17:59:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Glider_Touch-and-Go_in_Hail_7853da163ffa_mcq.json,uavbench-mcq-v1,Harbor_Glider_Touch-and-Go_in_Hail,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"Begin approach at 10m AGL with 120s icing ahead, moving obstacle near runway; execute touch-and-go within 600s.","This scenario involves a glider UAV conducting a runway touch-and-go mission in a harbor environment. The airspace is constrained between 10 and 250 meters AGL, with a fixed polygonal geofence and two no-fly zones—one static and one moving. The UAV is equipped with standard sensors including GNSS, IMU, and RGB camera, but faces GNSS multipath and electromagnetic interference. Weather conditions include strong winds increasing with altitude, gusts, poor visibility, and active hail. A thermal updraft is present near the center of the airspace, which the glider may exploit. The mission begins with a custom approach pattern toward the runway threshold at (50, 50, 10) and requires a successful touch-and-go within 600 seconds. Notable constraints include separation requirements from traffic and dynamic obstacles, with a moving sphere and another UAV traversing the airspace. An icing event occurs at 120 seconds, degrading performance for one minute. Communication experiences brief downlink outages, and the UAV must manage battery reserves carefully under increased drag and power demands.",Descend to 8m AGL for better visibility,Climb to 250m to avoid moving obstacle,Hold at 10m until obstacle clears,Divert immediately to alternate zone,Use thermal updraft to climb at 150m,Accelerate through approach at 15m AGL,"Delay approach, then descend and land","[""Descend to 8m AGL for better visibility"", ""Climb to 250m to avoid moving obstacle"", ""Hold at 10m until obstacle clears"", ""Divert immediately to alternate zone"", ""Use thermal updraft to climb at 150m"", ""Accelerate through approach at 15m AGL"", ""Delay approach, then descend and land""]","Operating below 10m AGL violates the minimum altitude constraint, while climbing risks NFZs and increases exposure to wind and icing. Holding at 10m maintains safe separation, stays within AGL bounds, and preserves energy for the touch-and-go after obstacle passage." 2025-11-01T17:59:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Heavy-Lift_Operations_in_Hail_Conditions_33cd8307329d_mcq.json,uavbench-mcq-v1,Harbor_Heavy-Lift_Operations_in_Hail_Conditions,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best handles icing, dynamic obstacles, and 15 kg payload in 0.5–12 m airspace?","Heavy-lift UAV conducts indoor warehouse delivery mission. Operations occur in a confined indoor airspace with strict altitude limits from 0.5 to 12 meters AGL. Weather includes poor visibility and hail, with moderate crosswinds from the west. The UAV is an octocopter with battery power and a 15 kg payload capacity. Equipped with GNSS, IMU, lidar, and RGB camera for navigation and obstacle detection. Mission involves navigating a corridor pattern through a polygonal geofenced area. A static no-fly zone blocks the central area, and a dynamic no-fly zone moves slowly westward. Another UAV and a moving spherical obstacle create collision risks. Communication experiences two brief downlink loss windows during flight. An icing fault occurs mid-mission, temporarily affecting performance.","Quadcopter with 10 kg payload, no redundant motors","Hexacopter with dual IMUs, 12 kg payload capacity","Octocopter with battery power, lidar, and GNSS","Fixed-wing with 18 kg payload, requires 15 m altitude","Octocopter with camera only, no lidar or IMU","Hybrid VTOL with extended range, higher energy use","Octocopter with mechanical de-icing, no downlink redundancy","[""Quadcopter with 10 kg payload, no redundant motors"", ""Hexacopter with dual IMUs, 12 kg payload capacity"", ""Octocopter with battery power, lidar, and GNSS"", ""Fixed-wing with 18 kg payload, requires 15 m altitude"", ""Octocopter with camera only, no lidar or IMU"", ""Hybrid VTOL with extended range, higher energy use"", ""Octocopter with mechanical de-icing, no downlink redundancy""]","The octocopter provides motor redundancy and 15 kg capacity, critical for payload and fault tolerance. Lidar and GNSS enable obstacle avoidance in poor visibility. Other options lack altitude compliance, sensor fusion, or sufficient payload under fault conditions." 2025-11-01T17:59:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Heavy-Lift_Operations_in_Wind_Farm_with_Hail_06ffbb1bf7f1_mcq.json,uavbench-mcq-v1,Harbor_Heavy-Lift_Operations_in_Wind_Farm_with_Hail,minimax/minimax-m1,9,Comparative System Reasoning,7,?,E,False,"An octocopter with 12 kg payload faces 18 m/s winds, GNSS jamming, and moving obstacles at 10–120 m AGL. Which configuration ensures mission success under these conditions?","Heavy-lift UAV conducts a delivery mission within a wind farm airspace. The operation occurs in poor visibility with active hail and strong, gusty winds up to 18 m/s at altitude. Wind speed and direction vary significantly with height, creating challenging flight conditions. The UAV is an octocopter with a 12 kg payload, equipped with lidar, radar, and RGB camera for navigation. Flight is restricted between 10 m and 120 m AGL within a polygonal geofence. A static no-fly zone surrounds a central turbine, with an additional moving no-fly zone drifting through the area. GNSS signals are degraded due to jamming and multipath interference near turbines. The UAV must maintain separation from another aircraft and a moving spherical obstacle. Critical system faults include a GNSS jamming event and an icing condition affecting aerodynamics. Downlink communications are intermittently lost, limiting telemetry and control feedback.",Fixed-pitch propellers for simplicity and lower weight,Increased battery capacity without redundancy for longer endurance,Reliance on GNSS-only navigation with periodic waypoint updates,Single-sensor fusion using only RGB camera for localization,Active de-icing with radar-lidar sensor fusion and attitude fallback,Open-loop control during comms loss to maintain trajectory,Reduced payload to 8 kg to improve gust tolerance and climb rate,"[""Fixed-pitch propellers for simplicity and lower weight"", ""Increased battery capacity without redundancy for longer endurance"", ""Reliance on GNSS-only navigation with periodic waypoint updates"", ""Single-sensor fusion using only RGB camera for localization"", ""Active de-icing with radar-lidar sensor fusion and attitude fallback"", ""Open-loop control during comms loss to maintain trajectory"", ""Reduced payload to 8 kg to improve gust tolerance and climb rate""]","E combines sensor redundancy, adverse weather adaptation, and navigation robustness. Radar and lidar operate in poor visibility and hail, unaffected by GNSS jamming. Active de-icing preserves aerodynamic performance under icing, ensuring control authority in gusty 18 m/s winds." 2025-11-01T17:59:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Heavy-Lift_Operations_under_Hail_Conditions_07d581b8a9ab_mcq.json,uavbench-mcq-v1,Harbor_Heavy-Lift_Operations_under_Hail_Conditions,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"At 300 s, with hail, 8 m/s crosswind, and icing, which action maintains coordination with UAV at 40 m and avoids the drifting obstacle near WP2?","Heavy-lift UAV conducts delivery mission near airport perimeter airspace. Operating in poor visibility with active hail and strong 8 m/s crosswinds from the west. UAV equipped with GNSS, IMU, lidar, RGB camera, and carrying a 10 kg payload. Flight altitude restricted between 10 m and 120 m AGL within defined polygon geofence. Central no-fly cylinder excludes area near runway operations and sensitive zones. Mission follows a corridor pattern with four waypoints and a 10-minute time budget. Another UAV traffic agent moves parallel to the runway at 40 m altitude. A moving spherical obstacle drifts westward at 2 m/s near the second waypoint. Icing fault event occurs at 300 seconds, reducing performance for one minute. Communication experiences two brief downlink loss windows during the mission.",Climb to 110 m to avoid obstacle and improve comms range,Descend to 35 m to match other UAV’s altitude for relay sync,"Hold at 60 m, delay 90 s, then proceed after obstacle passes","Accelerate to bypass obstacle before 310 s, ignoring icing",Drop payload early to reduce weight and increase maneuverability,Turn back to base maintaining 10 m AGL for safety,Adjust heading west by 15° to counter drift and stay on corridor,"[""Climb to 110 m to avoid obstacle and improve comms range"", ""Descend to 35 m to match other UAV’s altitude for relay sync"", ""Hold at 60 m, delay 90 s, then proceed after obstacle passes"", ""Accelerate to bypass obstacle before 310 s, ignoring icing"", ""Drop payload early to reduce weight and increase maneuverability"", ""Turn back to base maintaining 10 m AGL for safety"", ""Adjust heading west by 15° to counter drift and stay on corridor""]",Holding at 60 m maintains safe vertical separation from the 40 m UAV and stays above minimum altitude. Delaying 90 s avoids collision with the westward-drifting obstacle near WP2 within the 10-minute budget. This respects icing-induced performance loss and preserves communication windows by avoiding aggressive maneuvers. 2025-11-01T17:59:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Heavy_Load_Delivery_in_Low_Visibility_800c61457f82_mcq.json,uavbench-mcq-v1,Harbor_Heavy_Load_Delivery_in_Low_Visibility,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 80m AGL, 12kg payload, -85 dBm GNSS jamming and 260° winds: which navigation strategy maintains geofence integrity?","Heavy payload delivery mission in a harbor environment with poor visibility and icing conditions. Flight occurs between 10m and 120m AGL within a defined polygonal geofence. Convertiplane UAV carries a 12kg payload, transitioning between vertical and forward flight. Equipped with radar, lidar, GNSS, and other sensors but no thermal camera. Strong winds increase with altitude, shifting direction from 240° to 260° between 0m and 100m. Operational challenges include GNSS multipath, jamming at -85 dBm, and electromagnetic interference. A static no-fly zone blocks part of the route, while a moving obstacle drifts westward. Dynamic no-fly zone moves left across the harbor, requiring real-time path adjustment. Icing event occurs mid-mission, degrading performance for one minute. UAV must land at a designated site, using a runway, while avoiding traffic and maintaining separation.","Prioritize GNSS despite jamming, ignore wind bias",Switch to lidar-only hover at 80m altitude,"Fuse radar with IMU, downweight GNSS",Rely on magnetic heading with drift correction,Use visual odometry in poor harbor visibility,"Lock to last GNSS fix, ignore moving obstacle",Descend immediately using barometer only,"[""Prioritize GNSS despite jamming, ignore wind bias"", ""Switch to lidar-only hover at 80m altitude"", ""Fuse radar with IMU, downweight GNSS"", ""Rely on magnetic heading with drift correction"", ""Use visual odometry in poor harbor visibility"", ""Lock to last GNSS fix, ignore moving obstacle"", ""Descend immediately using barometer only""]","Radar-IMU fusion compensates for GNSS jamming and wind-induced drift, maintaining position accuracy. Lidar and visual systems degrade in poor visibility and icing; barometric and magnetic sensors are prone to environmental interference. This strategy preserves sensor redundancy and adapts to multipath and wind shear." 2025-11-01T17:59:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Hexacopter_Inspection_30becab2462d_mcq.json,uavbench-mcq-v1,Harbor_Hexacopter_Inspection,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 450s, with 8.5 m/s winds and partial motor failure, should the UAV continue the inspection or abort due to battery and control risks?","This is an inspection mission conducted by a hexacopter UAV at a bridge site located near a harbor. The airspace is constrained by static and dynamic no-fly zones, including a central cylinder exclusion and a moving restricted area. The UAV is equipped with RGB camera, LiDAR, and standard navigation sensors, but lacks thermal imaging. Weather conditions include strong winds of 8.5 m/s increasing with altitude, wind direction shifts, and hazardous hail. A wind shear profile is present, with wind speed and direction varying between ground and 50 meters. GNSS signals are degraded due to multipath effects and electromagnetic interference, with a planned jamming event reducing signal integrity. The UAV must avoid collisions with static obstacles, a moving sphere obstacle, and one traffic UAV flying through the area. Key operational constraints include maintaining separation, managing battery reserves under high wind and maneuvering loads, and handling communication loss windows. The mission must be completed within 600 seconds while navigating a corridor pattern across four waypoints. Faults include a GNSS jamming event at 300 seconds and a partial motor failure at 450 seconds, testing resilience.",Continue to waypoint 4; mission completion is top priority.,Descend immediately to capture last bridge images.,Abort and return to base; safety exceeds mission value.,Hover at current position until GNSS signal recovers.,Fly directly over harbor to reduce wind exposure.,Ascend to 60m for clearer GNSS and stable winds.,Eject LiDAR to reduce weight and extend flight time.,"[""Continue to waypoint 4; mission completion is top priority."", ""Descend immediately to capture last bridge images."", ""Abort and return to base; safety exceeds mission value."", ""Hover at current position until GNSS signal recovers."", ""Fly directly over harbor to reduce wind exposure."", ""Ascend to 60m for clearer GNSS and stable winds."", ""Eject LiDAR to reduce weight and extend flight time.""]","Continuing or ascending risks loss of control in high winds and with motor failure, endangering harbor operations and violating safety-of-life principles. Aborting prioritizes public safety and responsible autonomy despite mission value. It aligns with emergency hierarchy and lawful operation under degraded performance and hazardous weather." 2025-11-01T17:59:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Icing_VTOL_Training_fcff38ff668e_mcq.json,uavbench-mcq-v1,Harbor_Icing_VTOL_Training,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,F,False,"At 110 m AGL in strong gusts, icing reduces performance for 1 min; dynamic no-fly zone approaches. What action prioritizes safety?","This scenario involves a VTOL tiltrotor UAV conducting an inspection mission in a harbor environment. The mission takes place within a defined polygonal airspace bounded from 5 to 120 meters AGL. Weather conditions include strong westerly winds increasing with altitude, gusts, poor visibility, and icing conditions. The UAV is equipped with RGB camera, LiDAR, and standard navigation sensors, but lacks thermal imaging and radar. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves through the airspace, adding complexity. GNSS multipath and electromagnetic interference degrade navigation performance, and a temporary comms loss occurs twice during the mission. The UAV must follow a corridor pattern between four waypoints and return for a runway landing, with transition times modeled between VTOL and forward flight. An icing fault event occurs mid-mission, reducing performance for one minute. Another UAV and a moving spherical obstacle operate in the airspace, requiring separation assurance. The scenario emphasizes safe navigation under adverse weather, sensor limitations, and constrained airspace with multiple hazards.",Descend to 5 m AGL to avoid wind and icing,Continue inspection to complete high-priority mission,Climb above 120 m AGL to escape turbulence,Enter central static no-fly zone to避让 dynamic zone,Hold position and wait out the icing event,Transition to forward flight toward safe landing,Rely on LiDAR to penetrate poor visibility and continue,"[""Descend to 5 m AGL to avoid wind and icing"", ""Continue inspection to complete high-priority mission"", ""Climb above 120 m AGL to escape turbulence"", ""Enter central static no-fly zone to避让 dynamic zone"", ""Hold position and wait out the icing event"", ""Transition to forward flight toward safe landing"", ""Rely on LiDAR to penetrate poor visibility and continue""]","Descending too low risks collision with harbor vessels and violates minimum altitude for safe operations. Continuing or climbing breaches airspace limits and ignores icing-related performance loss. The optimal action is transitioning toward landing, which prioritizes controlled descent and human safety over mission completion, aligning with emergency hierarchy and lawful airspace use." 2025-11-01T17:59:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Inspection_in_Rainy_Conditions_3cf98ad8f3d7_mcq.json,uavbench-mcq-v1,Harbor_Inspection_in_Rainy_Conditions,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 180s, icing reduces lift by 15% and increases drag; wind is 7.2 m/s from 240°. What action maintains control and reserve?","This is an industrial harbor inspection mission using an octocopter UAV equipped with RGB camera and LIDAR payload. The operation takes place in a confined industrial plant airspace with a maximum altitude of 120 meters AGL. Weather conditions include moderate rain, poor visibility, 7.2 m/s winds from 240 degrees, gusts up to 4.5 m/s, and potential icing. The UAV has a battery capacity of 480 Wh and must maintain a 30% reserve for safe return. A static no-fly zone restricts flight near the center of the area, and a dynamic no-fly zone moves slowly through the environment. An additional moving obstacle drifts horizontally, requiring real-time avoidance. The mission must be completed within 600 seconds, following a corridor inspection pattern across four waypoints. A second UAV operates in the airspace, requiring separation of at least 25 meters and a time-to-closest-approach threshold of 15 seconds. GNSS multipath effects are expected near metallic structures, and brief communication dropouts are anticipated at 120 and 300 seconds. An icing event occurs at 180 seconds, reducing performance for one minute, increasing power demand and affecting control.",Increase airspeed by 10% to compensate for lift loss,Descend to 80 m AGL to reduce wind exposure,Reduce angle of attack to minimize drag rise,Climb to 120 m AGL for better GNSS reception,Bank 15° into wind to improve stability,Hold current attitude and increase throttle 20%,Turn 30° downwind to reduce relative wind load,"[""Increase airspeed by 10% to compensate for lift loss"", ""Descend to 80 m AGL to reduce wind exposure"", ""Reduce angle of attack to minimize drag rise"", ""Climb to 120 m AGL for better GNSS reception"", ""Bank 15° into wind to improve stability"", ""Hold current attitude and increase throttle 20%"", ""Turn 30° downwind to reduce relative wind load""]","Increasing airspeed raises dynamic pressure, restoring lost lift without exceeding stall margin. Higher speed counters increased drag and maintains control authority during icing. Other choices either worsen lift/drag balance or increase risk in confined airspace." 2025-11-01T17:59:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Inspection_under_Microburst_Risk_523ff13de6bf_mcq.json,uavbench-mcq-v1,Harbor_Inspection_under_Microburst_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 240s, with comms lost and second UAV approaching at 12 m/s, which action maintains 25m separation and mission timing?","This is an inspection mission in a coastal harbor area using a hexacopter UAV equipped with RGB camera and LiDAR payload. The airspace is constrained between 5 and 120 meters AGL, with a static no-fly zone over a critical infrastructure cylinder and a moving no-fly zone due to dynamic obstacles. Weather includes strong 8 m/s winds from 240° with gusts up to 4.5 m/s and a risk of microbursts, increasing flight instability. The UAV operates within a defined polygonal geofence and must avoid collisions with a moving obstacle drifting westward at 1 m/s. A second UAV is present in the airspace, traveling west at 12 m/s, requiring separation monitoring with a 25-meter threshold. The mission follows a corridor pattern across four waypoints within a 600-second time limit. Battery endurance is limited to 450 Wh with a 30% reserve, and performance may degrade due to wind and maneuvering drag. GNSS, IMU, and barometer are active, but multipath effects near harbor structures could affect positioning accuracy. A 30-second communication link loss occurs at 240 seconds, simulating uplink/downlink failure and challenging autonomous operation.",Climb to 110 m AGL to avoid moving obstacle and UAV,Hold position for 10 seconds to let second UAV pass ahead,Descend to 10 m AGL and continue to next waypoint,Increase speed to 14 m/s to exit corridor early,Turn east for 15 seconds to create lateral separation,"Maintain course and speed, relying on onboard collision avoidance",Reduce speed to 8 m/s and adjust heading 10° north,"[""Climb to 110 m AGL to avoid moving obstacle and UAV"", ""Hold position for 10 seconds to let second UAV pass ahead"", ""Descend to 10 m AGL and continue to next waypoint"", ""Increase speed to 14 m/s to exit corridor early"", ""Turn east for 15 seconds to create lateral separation"", ""Maintain course and speed, relying on onboard collision avoidance"", ""Reduce speed to 8 m/s and adjust heading 10° north""]","Reducing speed and adjusting heading north preserves energy, maintains lateral separation from the westbound UAV, and avoids collision with the drifting obstacle. It ensures compliance with the 25m separation threshold while sustaining corridor coverage within the 600s window despite comms loss. Other options violate altitude limits, increase risk near obstacles, or fail to coordinate timing and spacing under degraded comms." 2025-11-01T17:59:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Inspection_with_Octocopter_in_Thermal_Updrafts_a59a8be32182_mcq.json,uavbench-mcq-v1,Harbor_Inspection_with_Octocopter_in_Thermal_Updrafts,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 580s, UAV detects moving obstacle 30m away at 25m AGL; battery at 18%, wind gusts up to 9.5 m/s. Continue to final waypoint 400m ahead?","This scenario involves an inspection mission using an octocopter equipped with RGB and thermal cameras, operating within a powerline corridor. The UAV operates between 10 and 120 meters AGL, navigating a polygonal airspace with strict geofencing. Thermal updrafts are present near two plume zones, providing vertical air currents that may affect flight dynamics. Wind blows from 240 degrees at 6 m/s with gusts up to 3.5 m/s, requiring stable control in variable conditions. A static no-fly zone and a moving no-fly zone—drifting west—must be avoided during flight. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference adds sensor reliability challenges. The UAV must complete a corridor inspection along four waypoints within 600 seconds, returning to its starting point or diverting to an emergency landing site. Separation from a single traffic UAV and a moving spherical obstacle must be maintained, with a minimum separation threshold of 25 meters. Communication experiences brief uplink/downlink loss windows, and battery endurance is limited, requiring efficient path planning to ensure mission success.",Proceed to waypoint; mission completion is critical for grid safety.,Abort mission immediately; return to home despite low battery.,Divert to emergency landing; prioritize system safety over mission.,Hover in place until obstacle passes; maintain inspection integrity.,Ascend to 120m AGL to avoid obstacle; use thermal updraft for efficiency.,Fly directly through no-fly zone; save time to reach waypoint.,Eject battery to reduce weight; accelerate return flight.,"[""Proceed to waypoint; mission completion is critical for grid safety."", ""Abort mission immediately; return to home despite low battery."", ""Divert to emergency landing; prioritize system safety over mission."", ""Hover in place until obstacle passes; maintain inspection integrity."", ""Ascend to 120m AGL to avoid obstacle; use thermal updraft for efficiency."", ""Fly directly through no-fly zone; save time to reach waypoint."", ""Eject battery to reduce weight; accelerate return flight.""]",Continuing risks collision and loss of control in high wind with limited battery. Diverting to emergency landing prioritizes safety of people and property over mission objectives. It complies with lawful airspace rules and ensures controlled shutdown within operational limits. 2025-11-01T17:59:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Loiter_under_Icing_Conditions_01023ea3bf5c_mcq.json,uavbench-mcq-v1,Harbor_Loiter_under_Icing_Conditions,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which system ensures safe loitering at 10–120 m AGL with icing, 10 m/s winds, and GNSS jamming?","This mission involves a quadrotor UAV conducting a loiter pattern in a harbor environment. The UAV is equipped with RGB and thermal cameras, relying on GNSS, IMU, and other standard sensors. It operates within a defined airspace from 10 to 120 meters AGL, bounded by a polygonal geofence. A stationary no-fly zone and a moving no-fly cylinder restrict flight paths, requiring dynamic avoidance. The mission faces challenging weather, including poor visibility and icing conditions, with wind increasing to 10 m/s at higher altitudes. Icing severity impacts performance midway through the flight, affecting aerodynamics and control. GNSS signals suffer from multipath effects and moderate jamming, while electromagnetic interference adds sensor risk. A second UAV and a moving spherical obstacle require separation management under DAA thresholds. The UAV must maintain safe distances and avoid breaches while loitering around four waypoints in orbit pattern. Battery reserves are critical due to prolonged hover and drag under adverse conditions.",Lightweight carbon frame with minimal redundancy,Fixed-pitch blades for consistent lift in icing,Dual GNSS with RTK and IMU fusion for positioning,High-power heater system ignoring battery drain,Visual-only DAA in poor visibility conditions,Single-camera setup reducing weight and drag,Open-loop control to reduce processing latency,"[""Lightweight carbon frame with minimal redundancy"", ""Fixed-pitch blades for consistent lift in icing"", ""Dual GNSS with RTK and IMU fusion for positioning"", ""High-power heater system ignoring battery drain"", ""Visual-only DAA in poor visibility conditions"", ""Single-camera setup reducing weight and drag"", ""Open-loop control to reduce processing latency""]","Dual GNSS with IMU fusion maintains navigation accuracy under jamming and multipath. It balances reliability and positional integrity without excessive power use. Other options fail in redundancy, sensor fusion, or environmental adaptability under combined stressors." 2025-11-01T17:59:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Loiter_with_Convertiplane_fb76c0b9f012_mcq.json,uavbench-mcq-v1,Harbor_Loiter_with_Convertiplane,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,B,False,"At 120 m AGL and 8.5 m/s wind from 240°, loiter radius must balance energy, stability, and 25 m obstacle separation.","This mission involves a convertiplane UAV conducting a survey in a harbor airspace. The UAV operates within an altitude range of 10 to 150 meters AGL and must stay within a defined polygonal geofence. A no-fly zone cylinder is located near the center of the area, extending from 10 to 60 meters altitude with a 30-meter radius. The UAV is equipped with radar and an RGB camera, relying on battery power with a 30% reserve requirement. Winds are moderate at 8.5 m/s from 240 degrees, with gusts up to 4.5 m/s, affecting flight stability. The mission requires the UAV to loiter in an orbit pattern around a set of waypoints for up to 600 seconds. It must perform a runway-assisted takeoff and landing, using a 400-meter runway aligned to heading 90 degrees. The UAV shares the airspace with one other traffic vehicle moving westbound and a moving spherical obstacle drifting leftward. GNSS signals may experience multipath effects due to the harbor's cluttered environment, and the UAV must maintain separation of at least 25 meters from obstacles and other aircraft.","Loiter at 50 m radius, 15 m/s, 120 m altitude","Loiter at 35 m radius, 12 m/s, 70 m altitude","Loiter at 25 m radius, 10 m/s, 55 m altitude","Loiter at 30 m radius, 14 m/s, 65 m altitude","Loiter at 40 m radius, 16 m/s, 50 m altitude","Loiter at 60 m radius, 18 m/s, 110 m altitude","Loiter at 32 m radius, 13 m/s, 140 m altitude","[""Loiter at 50 m radius, 15 m/s, 120 m altitude"", ""Loiter at 35 m radius, 12 m/s, 70 m altitude"", ""Loiter at 25 m radius, 10 m/s, 55 m altitude"", ""Loiter at 30 m radius, 14 m/s, 65 m altitude"", ""Loiter at 40 m radius, 16 m/s, 50 m altitude"", ""Loiter at 60 m radius, 18 m/s, 110 m altitude"", ""Loiter at 32 m radius, 13 m/s, 140 m altitude""]","Option B maintains safe distance from the 30 m radius no-fly cylinder and stays above its 60 m ceiling. It balances wind-induced drag and battery efficiency with stable loiter radius and speed. Higher altitudes waste energy, lower ones risk no-fly zone penetration and GNSS multipath." 2025-11-01T17:59:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Mapping_with_High-Altitude_Pseudo-Satellite_UAV_3bc5904656e4_mcq.json,uavbench-mcq-v1,Harbor_Mapping_with_High-Altitude_Pseudo-Satellite_UAV,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"At 1500 m AGL with 18 m/s winds, icing, and a drifting obstacle, what action maintains safety and mission success?","This is a harbor mapping mission using a high-altitude pseudo-satellite UAV equipped with RGB and thermal cameras, radar, and standard navigation sensors. The UAV operates within a defined airspace from 100 to 1800 meters AGL, bounded by a polygonal geofence and including static and moving no-fly zones. The environment features poor visibility, icing conditions, and strong winds increasing with altitude, reaching 18 m/s at 1500 meters. GNSS signals are degraded due to multipath effects and moderate jamming, with additional electromagnetic interference present. The mission involves flying a grid pattern at 1500 meters to map the harbor area, ending with a runway landing. A dynamic no-fly zone moves through the airspace, and a traffic UAV crosses the path at 1400 meters. A moving spherical obstacle drifts westward at flight level, requiring real-time avoidance. An icing fault event occurs mid-mission, reducing performance for one minute. Communication experiences brief dropouts, and the UAV must adhere to separation standards to avoid DAA breaches. Despite challenges from weather, navigation hazards, and system faults, the UAV must complete the mapping run within 15 minutes and land safely.",Descend to 1200 m AGL and continue grid mapping,Climb to 1700 m AGL to avoid obstacle and traffic,Hold at 1500 m until dynamic NFZ clears path,Abort mission and divert directly to runway,Accelerate to bypass obstacle before traffic conflict,"Turn west to avoid obstacle, maintain altitude and speed","Descend to 1400 m, delay grid start, then resume","[""Descend to 1200 m AGL and continue grid mapping"", ""Climb to 1700 m AGL to avoid obstacle and traffic"", ""Hold at 1500 m until dynamic NFZ clears path"", ""Abort mission and divert directly to runway"", ""Accelerate to bypass obstacle before traffic conflict"", ""Turn west to avoid obstacle, maintain altitude and speed"", ""Descend to 1400 m, delay grid start, then resume""]","Descending to 1200 m reduces exposure to severe winds and icing at 1500 m while staying above minimum AGL. It avoids the moving obstacle and traffic near 1400 m, maintains radar mapping efficacy, and preserves energy for landing. Other options violate separation, increase fault risk, or waste time." 2025-11-01T17:59:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Amphibious_SAR_in_Sandstorm_near_Wind_Farm_af900ee5b215_mcq.json,uavbench-mcq-v1,Amphibious_SAR_in_Sandstorm_near_Wind_Farm,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,C,C,True,"During GNSS jamming in 12 m/s winds, which action maintains swarm separation, control, and mission progress at 5–120 m AGL?","Search and rescue mission using an amphibious fixed-wing VTOL UAV equipped with RGB and thermal cameras, radar, and LiDAR. Operating in a wind farm airspace with poor visibility due to an active sandstorm and strong 12 m/s winds from 240°. Mission constrained by a polygonal geofence and two no-fly zones, one static and one moving dynamically through the area. UAV must follow a corridor search pattern while avoiding obstacles including a drifting spherical hazard and commercial wind turbines. Swarm operation with three UAVs requiring 25-meter minimum separation between units during coordinated search. GNSS signal will experience a 45-second jamming event, and one motor suffers partial failure at mid-mission. Downlink communications are intermittently lost during two critical time windows, limiting telemetry feedback. UAV must use runway-assisted takeoff and landing due to amphibious design and mission requirements. Flight envelope restricted between 5 m and 120 m AGL with additional altitude-specific NFZ ceilings. High aerodynamic drag and battery consumption expected due to sandstorm conditions and sensor payload.",Descend to 5 m AGL to reduce drag and conserve battery,Hold position with increased thrust to counter wind drift,Switch to LiDAR-INS navigation and adjust heading to 060°,Ascend to 120 m AGL for clearer radar returns and signal reception,Abort search and return to runway using dead reckoning,Increase speed to 18 m/s to exit jamming zone quickly,Broadcast estimated position to swarm every 10 seconds via delay-tolerant protocol,"[""Descend to 5 m AGL to reduce drag and conserve battery"", ""Hold position with increased thrust to counter wind drift"", ""Switch to LiDAR-INS navigation and adjust heading to 060°"", ""Ascend to 120 m AGL for clearer radar returns and signal reception"", ""Abort search and return to runway using dead reckoning"", ""Increase speed to 18 m/s to exit jamming zone quickly"", ""Broadcast estimated position to swarm every 10 seconds via delay-tolerant protocol""]","LiDAR-INS fusion provides accurate state estimation during GNSS denial, while 060° heading aligns with wind vector (240°) for cross-drift control. This balances navigation reliability, aerodynamic stability, and swarm coordination within the flight envelope and obstacle-dense airspace." 2025-11-01T17:59:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Operations_in_Arctic_Fog_86cdf60e03ab_mcq.json,uavbench-mcq-v1,Harbor_Operations_in_Arctic_Fog,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 250s, icing begins and winds exceed 12 m/s above 100m AGL. Inspect corridor ends at 600s. What action minimizes risk while ensuring completion?","This mission involves an octocopter conducting a harbor inspection in Arctic conditions with persistent fog and icing risks. The operation takes place in a confined polygonal airspace near a harbor, featuring strict altitude limits from 10 to 120 meters AGL. Weather includes strong winds up to 12 m/s increasing with altitude, poor visibility due to fog, and potential sensor icing. The UAV carries a multi-sensor payload including thermal and RGB cameras, LiDAR, and radar, suited for low-visibility inspection tasks. Key constraints include a static no-fly zone near the harbor infrastructure and a moving no-fly zone from a drifting vessel. A second UAV and a moving spherical obstacle simulate dynamic traffic, requiring strict separation monitoring with a 25-meter threshold. GNSS signals suffer from multipath effects and moderate jamming, compounded by electromagnetic interference and brief communication dropouts. The UAV must manage battery reserves carefully under increased power demands from wind and an induced icing event at 250 seconds. Mission success depends on completing the corridor inspection within 600 seconds while avoiding breaches, collisions, and low battery.",Climb to 110m AGL to reduce fog interference,Descend to 20m AGL and maintain inspection speed,Divert immediately to nearest runway at 15m AGL,Ascend to 120m AGL to avoid moving vessel NFZ,Hold position at 80m AGL until icing subsides,Reduce speed by 30% at 60m AGL to save battery,"Descend to 15m AGL, complete inspection, return by 580s","[""Climb to 110m AGL to reduce fog interference"", ""Descend to 20m AGL and maintain inspection speed"", ""Divert immediately to nearest runway at 15m AGL"", ""Ascend to 120m AGL to avoid moving vessel NFZ"", ""Hold position at 80m AGL until icing subsides"", ""Reduce speed by 30% at 60m AGL to save battery"", ""Descend to 15m AGL, complete inspection, return by 580s""]","Flying at 15m AGL reduces icing and wind exposure while staying above minimum altitude. It avoids the drifting vessel NFZ and maintains battery margins. Other options increase altitude into stronger winds, waste time, or risk collision or low battery before mission end." 2025-11-01T17:59:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Operations_in_Dense_Urban_with_Cold_Weather_90832aef708b_mcq.json,uavbench-mcq-v1,Harbor_Operations_in_Dense_Urban_with_Cold_Weather,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,How should the UAV adapt during the 90-second icing fault with 14.5 m/s winds and 30% battery reserve?,"This mission involves an inspection operation in dense urban airspace near a harbor with cold weather conditions. The UAV is an octocopter equipped with a dual camera payload (RGB and thermal), lidar, and standard navigation sensors. It operates within a confined 300x250m geofenced area, with minimum and maximum altitudes of 5m and 120m AGL. Strong winds up to 14.5 m/s increase with altitude and shift direction, creating dynamic flight challenges. Icing conditions are present, and a simulated icing fault reduces performance for 90 seconds during the mission. A static no-fly zone and a moving no-fly cylinder must be avoided, along with a drifting spherical obstacle. The UAV must maintain separation of at least 25m from other traffic, with a traffic conflict expected from a crossing UAV. GNSS signals suffer from multipath effects and moderate jamming, while electromagnetic interference may affect systems. Battery endurance is limited, with a 30% reserve required and potential comms loss between 400–415 seconds. The mission emphasizes safe navigation, sensor resilience, and timely inspection waypoint coverage under adverse urban and environmental constraints.",Climb to 120m for clearer GNSS and thermal scanning,Hover at 15m to stabilize cameras during icing,Reduce camera resolution and descend to 20m,Activate lidar continuously for obstacle detection,Increase speed to finish waypoints before comms loss,Switch to full RGB streaming for traffic monitoring,Enter orbit mode at max altitude to avoid traffic,"[""Climb to 120m for clearer GNSS and thermal scanning"", ""Hover at 15m to stabilize cameras during icing"", ""Reduce camera resolution and descend to 20m"", ""Activate lidar continuously for obstacle detection"", ""Increase speed to finish waypoints before comms loss"", ""Switch to full RGB streaming for traffic monitoring"", ""Enter orbit mode at max altitude to avoid traffic""]","Descending reduces wind exposure and power use, while lowering camera resolution conserves energy. This balances sensor utility and endurance, ensuring safe operation during icing and reserve constraints." 2025-11-01T17:59:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Operations_in_Desert_with_Hail_faac060ecb29_mcq.json,uavbench-mcq-v1,Harbor_Operations_in_Desert_with_Hail,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,F,False,"With 90s left, icing, 13.5 m/s winds, and downlink loss, how should the UAV prioritize its final approach?","Amphibious UAV conducts harbor inspection in a desert environment with active hail and poor visibility. Mission takes place in a defined airspace with a maximum altitude of 120 m AGL and a geofenced operational zone. Weather includes strong winds up to 13.5 m/s increasing with altitude, gusts, and a hail event causing icing. The UAV is equipped with GNSS, IMU, LiDAR, and RGB camera, but faces GNSS jamming and electromagnetic interference. A static no-fly zone and a moving no-fly zone restrict flight paths, requiring dynamic avoidance. Another UAV and a drifting spherical obstacle introduce collision risks during the mission. The mission requires a runway landing, with a transition from forward flight to VTOL near the threshold. Command uplink is functional but downlink is intermittently lost during communication windows. Battery reserves are critical due to high power draw from wind and icing conditions. Flight must complete within 600 seconds while maintaining separation and avoiding airspace violations.",Descend immediately to save battery despite poor visibility,Climb to 120 m for better GNSS signal and wind clearance,Divert to alternate landing site outside operational zone,Continue current path relying on LiDAR during downlink loss,Abort mission and force-land in nearest safe zone,Prioritize runway landing using IMU and last known position,Hover at threshold until downlink restores for visual confirmation,"[""Descend immediately to save battery despite poor visibility"", ""Climb to 120 m for better GNSS signal and wind clearance"", ""Divert to alternate landing site outside operational zone"", ""Continue current path relying on LiDAR during downlink loss"", ""Abort mission and force-land in nearest safe zone"", ""Prioritize runway landing using IMU and last known position"", ""Hover at threshold until downlink restores for visual confirmation""]","Completing the mission within 600 seconds while ensuring safe runway landing is critical. F uses available sensors to meet flight termination requirements without violating airspace or endangering areas. Other options risk controlled flight into terrain, airspace violations, or excessive battery drain." 2025-11-01T17:59:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Operations_in_Forest_Airspace_with_Strong_Crosswind_cabe29aa83a2_mcq.json,uavbench-mcq-v1,Harbor_Operations_in_Forest_Airspace_with_Strong_Crosswind,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"With 8.5 m/s crosswind, a second UAV approaching at 12 m/s, and 30% battery reserve left, what action prioritizes safety and mission ethics?","This UAV mission involves a quadrotor conducting an inspection operation in forested airspace near a harbor area. The flight occurs within a defined rectangular geofence with a cylindrical no-fly zone centered at (100, 75) from 10m to 60m altitude. A strong 8.5 m/s crosswind from 240 degrees, with gusts up to 4.2 m/s, challenges stability and energy use. The UAV carries an RGB camera and LiDAR payload for visual inspection tasks. It operates between 10m and 120m AGL, navigating a corridor pattern through four waypoints under a 600-second time limit. A second UAV enters the airspace from the east at 12 m/s, requiring separation maintenance of at least 25 meters. A moving spherical obstacle drifts southwest near the center of the zone, adding dynamic collision risk. GNSS signals may suffer multipath effects due to surrounding trees and terrain, affecting positioning accuracy. Battery endurance is limited to 350 Wh with a 30% reserve required, constraining total flight duration and maneuverability.",Continue inspection to meet 600-second deadline,Ascend above 120m to avoid moving obstacle,Divert behind cylindrical no-fly zone for shelter,Land immediately in nearest forest clearing,Fly toward harbor to track second UAV visually,Reduce altitude below 10m to escape wind gusts,Abort mission and return to launch point,"[""Continue inspection to meet 600-second deadline"", ""Ascend above 120m to avoid moving obstacle"", ""Divert behind cylindrical no-fly zone for shelter"", ""Land immediately in nearest forest clearing"", ""Fly toward harbor to track second UAV visually"", ""Reduce altitude below 10m to escape wind gusts"", ""Abort mission and return to launch point""]","The combination of strong winds, dynamic obstacles, and proximity to another UAV increases collision risk. Continuing endangers airspace safety and exceeds operational limits. Aborting preserves human safety, complies with battery reserve rules, and upholds ethical responsibility over mission completion." 2025-11-01T17:59:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Operations_in_Jungle_with_Thermal_Updrafts_b85c31f0f5a0_mcq.json,uavbench-mcq-v1,Harbor_Operations_in_Jungle_with_Thermal_Updrafts,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,C,False,"Given GNSS jamming at -85 dBm and 9.8 m/s winds, how should UAVs maintain position integrity during comms loss?","This is a swarm UAV inspection mission in a dense jungle environment near a harbor. The airspace is constrained between 10 and 120 meters AGL within a polygonal geofence. Strong winds up to 9.8 m/s increase with altitude and shift direction, with notable gusts and thermal updrafts creating turbulence. The UAVs are multirotor swarm drones equipped with RGB and thermal cameras, LiDAR, and full sensor suites for navigation. Each drone has a 450 Wh battery, carrying a 0.5 kg payload with added drag. Key constraints include a static no-fly zone over critical infrastructure and a moving no-fly zone due to dynamic obstacles. GNSS signals suffer from multipath effects and moderate jamming at -85 dBm, with brief comms loss periods. Swarming rules enforce 15-meter minimum separation between drones, with roles assigned for leader, follower, scout, and relay. The mission must be completed within 600 seconds while avoiding collisions and maintaining safe separation from traffic and obstacles. Thermal plumes provide localized updrafts that may affect flight stability and energy use.",Increase GNSS update frequency to 20 Hz,Rely solely on LiDAR for absolute positioning,Switch to encrypted inertial-visual odometry with sensor fusion,Broadcast unencrypted heartbeat signals every 2 seconds,Use thermal camera to track swarm members visually,Disable authentication to reduce control loop latency,Ascend to 120 m AGL for stronger GNSS signals,"[""Increase GNSS update frequency to 20 Hz"", ""Rely solely on LiDAR for absolute positioning"", ""Switch to encrypted inertial-visual odometry with sensor fusion"", ""Broadcast unencrypted heartbeat signals every 2 seconds"", ""Use thermal camera to track swarm members visually"", ""Disable authentication to reduce control loop latency"", ""Ascend to 120 m AGL for stronger GNSS signals""]",Encrypted odometry with sensor fusion preserves data integrity and confidentiality during jamming. It maintains control stability by fusing inertial and visual data when GNSS is unreliable. This mitigates spoofing risks and ensures resilient navigation within the geofence during comms loss. 2025-11-01T17:59:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Operations_in_Mountainous_Airspace_with_Strong_Crosswind_6b55f8300da3_mcq.json,uavbench-mcq-v1,Harbor_Operations_in_Mountainous_Airspace_with_Strong_Crosswind,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 250 m AGL with 15 m/s crosswind and icing, what adjustment maintains lift without exceeding stall angle?","This UAV mission involves a delivery operation in mountainous terrain near a harbor. The convertiplane UAV operates within a defined corridor between 10 and 350 meters AGL, navigating around static and moving obstacles. Strong crosswinds up to 18 m/s increase with altitude and shift direction, creating challenging flight conditions. The area experiences icing conditions, and a simulated icing event reduces performance midway through the mission. GNSS signals suffer from multipath effects and moderate jamming, while electromagnetic interference adds sensor risk. The UAV must avoid a stationary no-fly zone and a dynamically moving obstacle, maintaining separation from another UAV on a crossing path. Flight is constrained by a time budget of 10 minutes and requires a runway-aligned takeoff and landing. The UAV carries an RGB camera payload for navigation and delivery verification, relying on GNSS, IMU, and LiDAR for sensing. Battery endurance is critical, with reserve power set at 30% to account for wind and inefficiencies. Communication dropouts occur briefly at two intervals, testing autonomous resilience.",Increase angle of attack to 18° and reduce airspeed to 12 m/s,Decrease angle of attack to 6° and increase thrust by 25%,Bank 30° into crosswind and maintain 20 m/s,Pitch up sharply to 20° while holding current power,Reduce airspeed to 10 m/s and deploy full flaps,Align thrust vector downward 10° and accelerate to 24 m/s,Slight pitch-up to 10° AoA with 15% thrust increase,"[""Increase angle of attack to 18° and reduce airspeed to 12 m/s"", ""Decrease angle of attack to 6° and increase thrust by 25%"", ""Bank 30° into crosswind and maintain 20 m/s"", ""Pitch up sharply to 20° while holding current power"", ""Reduce airspeed to 10 m/s and deploy full flaps"", ""Align thrust vector downward 10° and accelerate to 24 m/s"", ""Slight pitch-up to 10° AoA with 15% thrust increase""]","Icing increases wing loading and stall risk, requiring higher lift at safe angles. G increases camber and thrust to offset drag and lift loss without exceeding critical AoA. Other choices either exceed stall angle, reduce lift, or induce flow separation." 2025-11-01T17:59:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Operations_in_Mountainous_Terrain_with_Strong_Crosswind_0c411f1c9fef_mcq.json,uavbench-mcq-v1,Harbor_Operations_in_Mountainous_Terrain_with_Strong_Crosswind,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Given 8.5 m/s crosswinds and a moving obstacle, which route avoids the dynamic NFZ while reaching all waypoints within 600 seconds?","This is an inspection mission using an octocopter UAV equipped with GNSS, IMU, lidar, and RGB camera, operating in mountainous terrain near a harbor. The flight occurs in a defined rectangular airspace with a minimum altitude of 20 m AGL and a maximum of 180 m AGL. Strong crosswinds from the west blow at 8.5 m/s with gusts up to 4.2 m/s, increasing control challenges. A static no-fly zone is present near the center of the airspace, and a dynamic no-fly zone moves southwest at 2.5 m/s. The UAV must avoid a moving spherical obstacle drifting east to west and maintain separation from another UAV flying westward at 12 m/s. The mission requires following a corridor inspection pattern across four waypoints within a 600-second time limit. The octocopter carries a 1.2 kg payload and relies on battery power with a reserve of 30% for safe return. GNSS multipath effects may occur due to surrounding terrain, and strict separation thresholds (25 m, 15 s TTC) are enforced to prevent collisions. Emergency landing sites are available at two corners, with a preferred landing zone in the southeast. The UAV operates under full sensor availability but must respect geofencing and altitude constraints throughout the mission.","Fly direct at 180 m AGL, ignoring gust adjustments",Descend to 20 m AGL between waypoints to reduce wind impact,Lead the dynamic NFZ with a 30 m westward offset,Delay departure by 45 s to sync with obstacle drift,"Route east of static NFZ at 100 m AGL, adjusting for TTC",Cut through static NFZ center to save 90 s transit time,"Follow corridor at 90 m AGL, anticipating obstacle position","[""Fly direct at 180 m AGL, ignoring gust adjustments"", ""Descend to 20 m AGL between waypoints to reduce wind impact"", ""Lead the dynamic NFZ with a 30 m westward offset"", ""Delay departure by 45 s to sync with obstacle drift"", ""Route east of static NFZ at 100 m AGL, adjusting for TTC"", ""Cut through static NFZ center to save 90 s transit time"", ""Follow corridor at 90 m AGL, anticipating obstacle position""]","Flying at 90 m AGL balances wind exposure and terrain clearance while staying within the allowable altitude band. The corridor route anticipates the moving obstacle's path and maintains 25 m separation with sufficient TTC. This trajectory avoids both NFZs, preserves battery, and ensures all waypoints are reached within the 600-second limit." 2025-11-01T17:59:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Operations_in_Sandstorm_-_Convertiplane_c71630848f4f_mcq.json,uavbench-mcq-v1,Harbor_Operations_in_Sandstorm_-_Convertiplane,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"At 115s, visibility drops to 100m and a UAV approaches within 30m at 120m AGL. What action ensures separation and avoids NFZ?","This scenario involves a convertiplane UAV conducting an inspection mission in a coastal harbor area near a powerline corridor during a sandstorm. The airspace is constrained between 10 and 120 meters AGL, with a static no-fly zone over critical infrastructure and a moving no-fly zone due to dynamic obstacles. Poor visibility and strong winds at 12 m/s with gusts up to 6 m/s from 240 degrees challenge flight stability and sensor performance. The UAV is equipped with a full sensor suite including LiDAR, radar, RGB and thermal cameras, supporting navigation and inspection in degraded visual conditions. It has a battery capacity of 1500 Wh and must manage energy carefully due to high hover power consumption and a 30% reserve requirement. The mission requires navigating a predefined corridor pattern with four waypoints while avoiding collisions with static and moving obstacles, including another UAV on a crossing path. GNSS multipath effects are likely near powerlines, and brief communication outages occur at 120–130s and 450–470s into the mission. Separation assurance is enforced with a minimum 25-meter threshold and 20-second time-to-closest-approach alerting. The convertiplane must perform a runway-assisted takeoff and plan for a precision landing at the designated site, with emergency options available. Mission success depends on adherence to airspace constraints, battery management, and maintaining detect-and-avoid compliance throughout.",Climb to 125m AGL to improve radar detection range,Descend to 15m AGL and slow to 8 m/s for obstacle clearance,Hold altitude and activate emergency hover until conflict resolves,"Turn right 30°, descend to 20m AGL, and proceed to next waypoint",Accelerate to 15 m/s to exit conflict zone quickly,"Descend to 40m AGL, delay waypoint entry by 20s, then resume","Execute lateral offset left by 50m, maintain 100m AGL, then realign","[""Climb to 125m AGL to improve radar detection range"", ""Descend to 15m AGL and slow to 8 m/s for obstacle clearance"", ""Hold altitude and activate emergency hover until conflict resolves"", ""Turn right 30°, descend to 20m AGL, and proceed to next waypoint"", ""Accelerate to 15 m/s to exit conflict zone quickly"", ""Descend to 40m AGL, delay waypoint entry by 20s, then resume"", ""Execute lateral offset left by 50m, maintain 100m AGL, then realign""]","Descending below 10m or climbing above 120m violates AGL limits; lateral maneuvers near powerlines increase GNSS multipath risk. Option F maintains safe altitude, allows time for moving obstacle to pass, and preserves battery while complying with separation and NFZ constraints. It optimally balances timing, energy, and detect-and-avoid requirements during a communication outage window." 2025-11-01T17:59:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Operations_in_Urban_Canyon_with_Sandstorm_82e351002492_mcq.json,uavbench-mcq-v1,Harbor_Operations_in_Urban_Canyon_with_Sandstorm,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 250 s, battery is 38%, 110 m from base, sandstorm reduces visibility to 30 m, winds at 8 m/s. What is the correct action?","This is an inspection mission using a quadrotor UAV equipped with RGB camera, LIDAR, and standard navigation sensors, operating in a dense urban canyon environment near a harbor. The airspace is constrained between 5 and 120 meters AGL with a static no-fly zone over a critical infrastructure cylinder and a moving no-fly zone drifting at 2.5 m/s. Strong winds of 8 m/s from 210° and gusts up to 4 m/s are present, with poor visibility due to an active sandstorm degrading optical and GNSS performance. The UAV has a 320 Wh battery, 2.5 kg dry mass, and 0.5 kg payload, with energy consumption modeled for hover, drag, and maneuvering. Mission waypoints follow a corridor pattern totaling four stops, with a time budget of 600 seconds and a required reserve of 30% battery. GNSS multipath effects are expected due to surrounding tall buildings, and periodic communication dropouts occur between 120–130 s and 400–415 s. A second UAV is present on a constant heading, requiring separation monitoring with DAA thresholds set at 10 m and 5 s TTC. The UAV spawns at (10,10,20) and must avoid a moving spherical obstacle traveling at 2.2 m/s. Emergency and preferred landing sites are located at opposite corners of the operational area. Battery endurance, NFZ compliance, collision avoidance, and communication quality are key mission metrics.",Continue to next waypoint; mission priority overrides risk,Descend to 10 m AGL to reduce wind exposure and save power,Abort mission and fly directly to emergency landing site,Climb to 120 m AGL for better GNSS and comms stability,Hover at current position until comms restore at 260 s,Divert to preferred landing site using minimal power route,Eject payload to reduce mass and extend endurance for return,"[""Continue to next waypoint; mission priority overrides risk"", ""Descend to 10 m AGL to reduce wind exposure and save power"", ""Abort mission and fly directly to emergency landing site"", ""Climb to 120 m AGL for better GNSS and comms stability"", ""Hover at current position until comms restore at 260 s"", ""Divert to preferred landing site using minimal power route"", ""Eject payload to reduce mass and extend endurance for return""]","With 38% battery—below the 30% reserve—and degraded navigation in a sandstorm, continuing risks uncontrolled failure over a dense urban area. The emergency landing site is the safest option to ensure public safety and comply with operational reserves. Other choices either increase collision risk, violate NFZ or reserve policies, or endanger civilians by delaying landing." 2025-11-01T17:59:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Operations_with_Convertiplane_in_Industrial_Plant_66aa6b206e91_mcq.json,uavbench-mcq-v1,Harbor_Operations_with_Convertiplane_in_Industrial_Plant,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 8 m/s wind from 240°, what airspeed and pitch adjustment maintains lift during transition at 60m AGL inside confined airspace?","This is an inspection mission using a convertiplane UAV in an industrial plant environment. The airspace is confined within a 200m x 150m polygon with a minimum altitude of 5m AGL and a maximum of 120m AGL. Weather conditions include a steady 8 m/s wind from 240° with gusts up to 4.5 m/s and a risk of lightning. The UAV is equipped with a battery-powered convertiplane design, carrying an RGB camera payload for visual inspection. A cylindrical no-fly zone of 20m radius and 60m height is centered in the area, requiring careful path planning. The mission involves navigating a corridor pattern through four waypoints and requires a runway for transition between flight modes. A second UAV and a moving spherical obstacle add dynamic traffic challenges. GNSS jamming is expected between 300–330 seconds with 80% severity, introducing navigation uncertainty. Communication experiences a brief downlink/uplink loss window from 280–310 seconds, testing data resilience. The UAV must maintain separation of at least 25m from traffic and avoid geofence or altitude violations while completing the mission within 600 seconds.",Increase airspeed to 18 m/s and pitch up 12°,Decrease airspeed to 10 m/s and pitch up 15°,Maintain 14 m/s with 8° nose-up pitch,Reduce airspeed to 9 m/s and pitch down 5°,Accelerate to 20 m/s with zero pitch change,Hover with zero airspeed and max rotor thrust,Descend at 12 m/s with negative pitch,"[""Increase airspeed to 18 m/s and pitch up 12°"", ""Decrease airspeed to 10 m/s and pitch up 15°"", ""Maintain 14 m/s with 8° nose-up pitch"", ""Reduce airspeed to 9 m/s and pitch down 5°"", ""Accelerate to 20 m/s with zero pitch change"", ""Hover with zero airspeed and max rotor thrust"", ""Descend at 12 m/s with negative pitch""]","Maintaining 14 m/s and 8° pitch balances lift and drag, compensating for headwind component from 240° while avoiding stall at low altitude. Higher pitch or lower airspeed increases angle of attack beyond critical, risking separation. This setting ensures efficient transition with adequate control authority under gust loading." 2025-11-01T17:59:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Operations_with_Convertiplane_in_Strong_Crosswind_97e453e5e4bb_mcq.json,uavbench-mcq-v1,Harbor_Operations_with_Convertiplane_in_Strong_Crosswind,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"During crosswind takeoff at 8.5 m/s from 240°, what adjustment maintains directional control and lift-to-drag balance?","This is an inspection mission using a convertiplane UAV in rural airspace near a harbor-like environment. The UAV operates within a defined rectangular geofence, with altitude limits between 10 and 120 meters AGL. Strong crosswinds from 240° at 8.5 m/s with gusts up to 4.2 m/s challenge flight stability. The convertiplane has a battery-powered propulsion system and carries an RGB camera payload for visual inspection. A static no-fly zone cylinder is centered in the area, and a dynamic no-fly zone moves slowly through the airspace. The mission requires runway-assisted takeoff and landing, with a preferred landing site and two emergency options. Traffic includes one other UAV flying westward, and a moving spherical obstacle drifts diagonally through the path. Command uplink and downlink experience two brief communication loss periods. The UAV must maintain separation of at least 25 meters from obstacles and other aircraft, with DAA monitoring for safety. GNSS, IMU, and lidar support navigation, though wind and potential multipath near structures may affect accuracy.",Increase pitch to 15° immediately after rotation,Apply left rudder and slight bank into the wind,Reduce throttle to minimize propeller torque effect,Delay rotation until airspeed exceeds 18 m/s,Bank fully away from wind to counter drift,Hold level attitude and maximize climb rate,Use lidar to reduce airspeed to 10 m/s,"[""Increase pitch to 15° immediately after rotation"", ""Apply left rudder and slight bank into the wind"", ""Reduce throttle to minimize propeller torque effect"", ""Delay rotation until airspeed exceeds 18 m/s"", ""Bank fully away from wind to counter drift"", ""Hold level attitude and maximize climb rate"", ""Use lidar to reduce airspeed to 10 m/s""]","Applying left rudder counters crosswind yaw from 240°, while banking into the wind corrects lateral drift without stalling. This balances side force, maintains lift vector alignment, and preserves aerodynamic efficiency within the geofence." 2025-11-01T17:59:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Operations_with_Convertiplane_in_Wind_Farm_4cf2f19d4d5c_mcq.json,uavbench-mcq-v1,Harbor_Operations_with_Convertiplane_in_Wind_Farm,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"With 10-minute mission time, 12 m/s winds at 100 m, and a moving no-fly zone, which action ensures safe corridor traversal and DAA compliance?","This scenario involves an inspection mission using a battery-powered convertiplane UAV in a wind farm environment. The UAV operates within a defined airspace from 10 to 150 meters AGL, bounded by a polygonal geofence and including both static and moving no-fly zones. Winds are strong, increasing with altitude from 8 m/s at ground level to 12 m/s at 100 meters, with gusts and westerly directionality, alongside thermal updrafts that may affect flight dynamics. The UAV is equipped with a RGB camera and LIDAR payload for inspection tasks, and relies on GNSS, IMU, and other sensors, though it faces GNSS multipath interference and electromagnetic noise. A key constraint is the presence of a dynamic no-fly zone moving southwest, requiring real-time avoidance, in addition to a static cylinder exclusion near a turbine. The UAV must follow a corridor-style waypoint path while managing energy use under high wind and turbulence, with a strict 10-minute time budget and requirement for runway-assisted takeoff and landing. Air traffic includes another UAV flying cross-path, and there is a moving spherical obstacle near the mission corridor, necessitating DAA compliance with 25-meter separation and 15-second TTC thresholds. Communication experiences brief dropouts, and the UAV must maintain adequate link quality throughout. The convertiplane transitions between vertical and fixed-wing flight, with defined transition times, and must return safely to its preferred landing site or an emergency alternative. Mission success depends on completing the route without collisions, geofence breaches, or DAA violations, while preserving sufficient battery reserves.",Climb to 150 m to avoid turbulence and crosswind drift,Delay takeoff until the moving obstacle clears the corridor,Reduce speed below 8 m/s to extend inspection time,Fly at 100 m with 15-second TTC monitoring and lateral offset,Switch to hover mode when within 25 m of the other UAV,Rely on LIDAR alone during GNSS dropout near turbines,Land at alternate site without confirming battery for return,"[""Climb to 150 m to avoid turbulence and crosswind drift"", ""Delay takeoff until the moving obstacle clears the corridor"", ""Reduce speed below 8 m/s to extend inspection time"", ""Fly at 100 m with 15-second TTC monitoring and lateral offset"", ""Switch to hover mode when within 25 m of the other UAV"", ""Rely on LIDAR alone during GNSS dropout near turbines"", ""Land at alternate site without confirming battery for return""]","Flying at 100 m balances wind efficiency and obstacle clearance while enabling TTC compliance. It maintains corridor adherence, respects DAA thresholds, and preserves battery under wind load. This choice coordinates sensor fusion, dynamic avoidance, and energy within the time budget." 2025-11-01T17:59:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Operations_with_Lightning_Risk_26766c24db44_mcq.json,uavbench-mcq-v1,Harbor_Operations_with_Lightning_Risk,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"At 8 m/s wind from 220°, how should the UAV adjust airspeed and pitch to maintain ground track 180° with minimal energy?","This UAV mission involves a helicopter conducting an inspection along a defined corridor within an airport perimeter. The operation takes place in a confined airspace with a geofenced rectangular boundary and a cylindrical no-fly zone near the center. Weather includes strong winds from 220 degrees at 8 m/s with gusts up to 4 m/s and a risk of lightning, requiring cautious operations. The UAV is equipped with GNSS, IMU, lidar, and RGB camera for navigation and payload tasks, but lacks radar and thermal imaging. It has a total battery capacity of 1400 Wh, with a 30% reserve required, limiting usable energy. A moving obstacle travels westward at 5 m/s, adding dynamic risk, while another UAV enters the airspace from the south. The mission must be completed within 600 seconds and maintains strict separation standards of 25 meters and 15 seconds time-to-closest approach. GNSS jamming and comms loss are simulated between 420–450 seconds, challenging navigation and control. Notable constraints include proximity to runway operations, NFZ avoidance, wind effects on battery use, and multipath risks near harbor structures.",Increase airspeed by 3 m/s and reduce pitch by 2°,Decrease airspeed by 4 m/s and increase pitch by 5°,Maintain current airspeed and increase pitch by 3°,Increase airspeed by 6 m/s and pitch by 4°,Reduce airspeed by 2 m/s and reduce pitch by 1°,Increase airspeed by 8 m/s and reduce pitch to 0°,Decrease airspeed by 5 m/s and hold pitch constant,"[""Increase airspeed by 3 m/s and reduce pitch by 2°"", ""Decrease airspeed by 4 m/s and increase pitch by 5°"", ""Maintain current airspeed and increase pitch by 3°"", ""Increase airspeed by 6 m/s and pitch by 4°"", ""Reduce airspeed by 2 m/s and reduce pitch by 1°"", ""Increase airspeed by 8 m/s and reduce pitch to 0°"", ""Decrease airspeed by 5 m/s and hold pitch constant""]",A headwind component from 220° on a 180° track requires increased airspeed to maintain groundspeed and control. Increasing pitch enhances lift to counteract induced drag rise. Option D balances thrust demand and lift production while minimizing drift and battery drain. 2025-11-01T18:00:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Operations_with_Octocopter_in_Low_Visibility_b10d6dfef027_mcq.json,uavbench-mcq-v1,Harbor_Operations_with_Octocopter_in_Low_Visibility,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"Given 30% battery reserve, 7.5 m/s winds, and icing at 200 s, which action maximizes mission success within 10 minutes?","This mission involves a harbor inspection using an octocopter UAV in a coastal airspace with poor visibility and icing conditions. The UAV is equipped with a comprehensive sensor suite including GNSS, radar, LiDAR, RGB and thermal cameras. It operates within a defined polygonal geofence between 10 and 120 meters AGL, avoiding static and dynamic no-fly zones near critical harbor infrastructure. Strong westerly winds at 7.5 m/s with gusts up to 4.0 m/s challenge flight stability, while GNSS signal degradation occurs due to multipath and moderate jamming at -75 dBm. The octocopter must complete a corridor-style inspection along five waypoints within a 10-minute time limit, returning to its near-start landing zone. A moving obstacle drifts through the airspace, and two other UAVs are present, requiring strict separation monitoring with a 25-meter minimum distance threshold. An icing fault event reduces performance temporarily at 200 seconds into the mission, compounding existing icing weather risks. Communication experiences brief downlink losses, and electromagnetic interference further threatens sensor and navigation reliability. Battery endurance is critical, with a reserve fraction of 30% and high power demands from heavy payload and drag.",Increase speed to reach waypoints faster,Disable thermal camera to save power,Climb to 150 m for better GNSS signal,Hover 30 s to wait for obstacle clearance,Reduce LiDAR scan frequency by 50%,Transmit full RGB stream continuously,Fly direct return after third waypoint,"[""Increase speed to reach waypoints faster"", ""Disable thermal camera to save power"", ""Climb to 150 m for better GNSS signal"", ""Hover 30 s to wait for obstacle clearance"", ""Reduce LiDAR scan frequency by 50%"", ""Transmit full RGB stream continuously"", ""Fly direct return after third waypoint""]",Reducing LiDAR frequency cuts power use without sacrificing navigation or inspection coverage. This preserves battery under icing-induced drag and GNSS degradation. Other options either waste energy or risk time or collision. 2025-11-01T18:00:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Ops_HAPS_Lightning_Risk_56c6ff5cd9c9_mcq.json,uavbench-mcq-v1,Harbor_Ops_HAPS_Lightning_Risk,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,UAV inspects powerlines at 100–2500 m AGL with winds up to 16 m/s and lightning risk. How to optimize endurance and safety?,"High-altitude pseudo-satellite UAV conducts powerline corridor inspection over coastal harbor area. Mission involves long-endurance aerial monitoring with a focus on infrastructure assessment. Operations occur between 100 and 2500 meters AGL within a defined polygonal airspace. Weather includes moderate to strong winds increasing with altitude, shifting from 8.5 m/s at ground to 16 m/s at 2000 m. Lightning risk is present, requiring careful storm avoidance and system hardening. UAV carries radar, RGB and thermal imaging payloads for all-weather surveillance capability. Key constraints include a static no-fly zone near a critical facility and a moving restricted zone due to dynamic hazard. GNSS multipath and electromagnetic interference degrade navigation accuracy, compounded by scheduled GNSS jamming and IMU bias faults. Traffic includes a crossing UAV, with separation monitoring active to maintain 150 m minimum distance. Multiple system faults and communication dropouts test resilience during the 15-minute mission window.",Climb rapidly to 2500 m for wide-area radar coverage,Fly constant 100 m AGL with full RGB and thermal imaging,Reduce sensor power and patrol below 500 m AGL,Hover at 1500 m using full GNSS updates every 5 s,Extend mission beyond 15 min to complete full corridor,Transmit all data at 50 Mbps during strong wind climb,Rely on IMU-only navigation during GNSS jamming,"[""Climb rapidly to 2500 m for wide-area radar coverage"", ""Fly constant 100 m AGL with full RGB and thermal imaging"", ""Reduce sensor power and patrol below 500 m AGL"", ""Hover at 1500 m using full GNSS updates every 5 s"", ""Extend mission beyond 15 min to complete full corridor"", ""Transmit all data at 50 Mbps during strong wind climb"", ""Rely on IMU-only navigation during GNSS jamming""]","Operating below 500 m reduces wind-induced power consumption and lightning exposure while conserving battery. Reducing sensor power balances imaging needs with energy limits, ensuring return within 15 minutes. Other options increase drag, computation, or communication loads beyond sustainable levels." 2025-11-01T18:00:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Package_Delivery_Swarm_under_Microburst_Risk_b4b95f96223e_mcq.json,uavbench-mcq-v1,Harbor_Package_Delivery_Swarm_under_Microburst_Risk,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which drone configuration best ensures swarm safety and mission completion under GNSS jamming, microbursts, and a 25-meter detect-and-avoid requirement?","This is a swarm drone delivery mission in a harbor airspace with a risk of microbursts. The UAVs operate between 10 and 120 meters AGL within a defined polygonal geofence. Winds are from the west at 8 m/s with gusts up to 4.5 m/s, increasing flight challenges. The swarm consists of five octocopter drones, each carrying a 0.8 kg package with RGB camera and LiDAR payloads. A no-fly cylinder blocks airspace near the center of the zone, requiring path planning around it. The drones must maintain at least 10 meters separation from each other and avoid a moving spherical obstacle drifting west. A non-cooperative UAV flies through the area at 12 m/s, requiring detect-and-avoid compliance with a 25-meter separation threshold. GNSS jamming and comms loss are expected between 320 and 360 seconds, challenging navigation and control. The mission must be completed within 600 seconds, with a preferred landing site in the southeast corner. Battery endurance and fault resilience are critical due to environmental and system disruptions.","Fixed-wing with 1.2 kg payload, 450s endurance, no redundant sensors","Quadcopter with 0.7 kg capacity, 500s endurance, single GPS receiver","Octocopter with dual IMUs, 650s endurance, no LiDAR","Octocopter with LiDAR, RGB, 520s endurance, triple-redundant IMUs","Hexacopter with 0.8 kg payload, 480s endurance, basic GNSS/INS","Octocopter with 0.9 kg capacity, 400s endurance, no comms backup","Quadcopter swarm using 300s average endurance, centralized control","[""Fixed-wing with 1.2 kg payload, 450s endurance, no redundant sensors"", ""Quadcopter with 0.7 kg capacity, 500s endurance, single GPS receiver"", ""Octocopter with dual IMUs, 650s endurance, no LiDAR"", ""Octocopter with LiDAR, RGB, 520s endurance, triple-redundant IMUs"", ""Hexacopter with 0.8 kg payload, 480s endurance, basic GNSS/INS"", ""Octocopter with 0.9 kg capacity, 400s endurance, no comms backup"", ""Quadcopter swarm using 300s average endurance, centralized control""]","The D configuration matches the 0.8 kg payload, includes LiDAR and RGB for obstacle detection, and triple-redundant IMUs ensure navigation during GNSS jamming. Its 520s endurance allows completion within 600s despite detours. Other options fail in endurance, redundancy, sensing, or separation assurance under wind gusts and comms loss." 2025-11-01T18:00:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Ops_Hexacopter_Volcanic_Lightning_1a8c7ac6f882_mcq.json,uavbench-mcq-v1,Harbor_Ops_Hexacopter_Volcanic_Lightning,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"At 320s, GNSS and comms fail. Wind is 8.5 m/s, battery at 40%. How should the UAV respond to maximize mission success?","This is an inspection mission using a hexacopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place in a volcanic zone with a defined 500m x 500m geofenced airspace, requiring the UAV to fly between 10m and 120m AGL. Weather conditions include moderate winds from the southwest at 8.5 m/s with gusts up to 4.2 m/s and a risk of volcanic lightning, posing environmental hazards. A static no-fly zone (cylinder, 50m radius) is centered at (250,250), and a dynamic no-fly zone moves diagonally across the area, requiring real-time avoidance. The UAV must follow a corridor-style waypoint path while maintaining at least 25m separation from other traffic and obstacles, with a time budget of 600 seconds. A second UAV enters the airspace at (300,100) moving northeast at 12 m/s, requiring detect-and-avoid compliance. A moving spherical obstacle drifts through the environment at 1.1 m/s, adding complexity to path planning. The UAV experiences a GNSS jamming event at 320 seconds lasting 45 seconds, coinciding with a comms uplink/downlink loss window, challenging navigation reliability. A permanent single motor failure occurs at 480 seconds, testing the hexacopter’s fault tolerance during the final phases of the mission.",Continue waypoint path using dead reckoning and full sensor suite,Climb to 120m for better signal and thermal uplink range,"Descend to 10m, reduce payload power, and hover until comms restore",Abort mission immediately and return at maximum speed,Switch to LiDAR-only navigation and maintain current speed,Enter loiter pattern at reduced rotor RPM to save energy,Execute precomputed fallback path using minimal sensors and steady speed,"[""Continue waypoint path using dead reckoning and full sensor suite"", ""Climb to 120m for better signal and thermal uplink range"", ""Descend to 10m, reduce payload power, and hover until comms restore"", ""Abort mission immediately and return at maximum speed"", ""Switch to LiDAR-only navigation and maintain current speed"", ""Enter loiter pattern at reduced rotor RPM to save energy"", ""Execute precomputed fallback path using minimal sensors and steady speed""]","G maintains progress with minimal energy use by relying on efficient, precomputed navigation during sensor-limited conditions. It balances fault tolerance, power constraints, and mission time without overusing computation or propulsion. Other options waste energy, increase risk, or fail to adapt to combined GNSS, comms, and wind challenges." 2025-11-01T18:00:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Pipeline_Inspection_with_Fixed-Wing_UAV_8a4c6042ee78_mcq.json,uavbench-mcq-v1,Harbor_Pipeline_Inspection_with_Fixed-Wing_UAV,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 8 m/s winds at 135°, gusts to 4 m/s, and thermal updrafts, which flight altitude optimizes energy use and obstacle avoidance during corridor inspection?","Fixed-wing UAV conducts pipeline inspection in a harbor environment. Mission involves flying a corridor pattern at altitudes between 20 and 120 meters AGL. UAV is equipped with RGB and thermal cameras, radar, and standard navigation sensors. Weather includes 8 m/s winds at 135° with gusts up to 4 m/s and presence of thermal updrafts. A significant no-fly zone cylinder restricts flight around a central area near the pipeline. GNSS signals are degraded due to multipath and electromagnetic interference. Wind varies with altitude, increasing to 9.5 m/s at 100 meters with shifting direction. Thermal plumes create localized updrafts, particularly near the center of the area. Another UAV and a moving spherical obstacle pose collision risks during the mission. Flight must comply with separation thresholds and use a designated runway for takeoff and landing.",Fly at 20 m AGL to minimize radar power and avoid gusts,Maintain 120 m AGL for clear thermal camera resolution,Ascend to 100 m to exploit tailwind and updraft energy,Hover at 60 m using RTK for precise GNSS positioning,Fly constant 80 m with full RGB and thermal streaming,Descend to 30 m to reduce communication bandwidth use,Alternate between 40 m and 90 m to sample updraft layers,"[""Fly at 20 m AGL to minimize radar power and avoid gusts"", ""Maintain 120 m AGL for clear thermal camera resolution"", ""Ascend to 100 m to exploit tailwind and updraft energy"", ""Hover at 60 m using RTK for precise GNSS positioning"", ""Fly constant 80 m with full RGB and thermal streaming"", ""Descend to 30 m to reduce communication bandwidth use"", ""Alternate between 40 m and 90 m to sample updraft layers""]","At 100 m, wind increases to 9.5 m/s but aligns with favorable direction and updrafts, reducing propulsion power needs. This altitude leverages natural lift, conserving battery while maintaining sensor coverage. Other options either waste energy fighting wind, assume unreliable GNSS, or increase drag or data load unnecessarily." 2025-11-01T18:00:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Pipeline_Inspection_with_Heavy_Lift_UAV_c82dcaf50e2b_mcq.json,uavbench-mcq-v1,Harbor_Pipeline_Inspection_with_Heavy_Lift_UAV,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 15 m AGL in 8.5 m/s winds with GNSS multipath, which sensor fusion strategy ensures reliable navigation near harbor structures?","This mission involves a heavy lift UAV conducting a pipeline inspection in a harbor environment. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates within a defined airspace bounded by a geofence, with a minimum altitude of 10 meters and a maximum of 120 meters AGL. A static no-fly zone blocks part of the area, and a dynamic no-fly zone moves through the space, requiring real-time avoidance. Another UAV enters the airspace from outside, traveling westward at 12 m/s, necessitating separation management. A moving spherical obstacle drifts slowly through the inspection zone, adding complexity to path planning. The mission follows a corridor pattern with five waypoints, requiring precise navigation near structures. Winds are moderate at 8.5 m/s from 240 degrees, with gusts up to 4.5 m/s, impacting stability and energy use. GNSS signals may experience multipath interference due to nearby harbor infrastructure. Battery endurance is critical, with a 30% reserve required and limited time to complete all inspection tasks.",Use only GNSS with Kalman filtering for position updates,Rely solely on LiDAR SLAM for drift-free localization,Fuse IMU and visual odometry during GNSS outages,Depend on magnetic heading with GPS speed for stability,Prioritize thermal camera tracking for motion estimation,Use dead reckoning with IMU and zero wind correction,Switch to RGB optical flow assuming clear visibility,"[""Use only GNSS with Kalman filtering for position updates"", ""Rely solely on LiDAR SLAM for drift-free localization"", ""Fuse IMU and visual odometry during GNSS outages"", ""Depend on magnetic heading with GPS speed for stability"", ""Prioritize thermal camera tracking for motion estimation"", ""Use dead reckoning with IMU and zero wind correction"", ""Switch to RGB optical flow assuming clear visibility""]","GNSS multipath in harbor environments degrades positional accuracy, requiring complementary systems. Fusing IMU with visual odometry provides high-rate, low-latency state estimation during signal degradation. This combination maintains precision in a structured environment where visual features are abundant and inertial data bridges gaps effectively." 2025-11-01T18:00:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Powerline_Inspection_Octocopter_c80721b8944b_mcq.json,uavbench-mcq-v1,Harbor_Powerline_Inspection_Octocopter,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"With 8 m/s winds, a dynamic obstacle, and a 600-second mission limit, how should the octocopter adjust its corridor pattern across four waypoints?","This scenario involves a powerline inspection mission using an octocopter UAV in a harbor environment. The airspace is constrained between 10 and 120 meters AGL with a fixed polygonal geofence and two no-fly zones, one of which is dynamic and moving. Weather conditions include strong 8 m/s winds from 240 degrees, gusts up to 4.5 m/s, poor visibility, and ongoing hail, increasing flight risk. The octocopter is equipped with a battery-powered propulsion system, carrying RGB and thermal cameras, LiDAR, and standard navigation sensors. Payload and aerodynamic drag are factored into performance, with a maximum speed of 18 m/s and a 30-degree tilt limit. A dynamic obstacle moves through the airspace, requiring real-time avoidance, and another UAV is present on a crossing trajectory. The mission must be completed within 600 seconds, following a corridor inspection pattern across four waypoints. GNSS multipath effects are likely due to the harbor’s reflective structures, and the UAV must maintain separation of at least 25 meters from traffic. An icing event occurs at 300 seconds, reducing performance for one minute, and a brief comms loss window is expected. The UAV starts at a known spawn point and must return to a preferred landing site, with battery endurance and fault detection monitored throughout.",Increase speed to 18 m/s constantly to finish early,Descend below 10 m AGL to avoid wind gusts,Delay takeoff until hail stops to ensure sensor clarity,Maintain 25 m separation from other UAV while adjusting heading,Climb to 120 m AGL for better GNSS signal reception,Pause inspection at 300 s to reset thermal camera,Fly direct path through moving no-fly zone to save time,"[""Increase speed to 18 m/s constantly to finish early"", ""Descend below 10 m AGL to avoid wind gusts"", ""Delay takeoff until hail stops to ensure sensor clarity"", ""Maintain 25 m separation from other UAV while adjusting heading"", ""Climb to 120 m AGL for better GNSS signal reception"", ""Pause inspection at 300 s to reset thermal camera"", ""Fly direct path through moving no-fly zone to save time""]","Maintaining 25 m separation ensures collision avoidance with the crossing UAV, satisfying air traffic constraints. It allows adaptive path planning around the dynamic obstacle while staying within geofence and timing limits. Other options violate altitude, safety, or no-fly rules, risking mission failure." 2025-11-01T18:00:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Recon_with_Convertiplane_in_Low_Visibility_a08718819648_mcq.json,uavbench-mcq-v1,Harbor_Recon_with_Convertiplane_in_Low_Visibility,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"At 110 m AGL, winds 9 m/s from 260° with gusts, icing fault occurs. What immediate action minimizes risk while maintaining mission?","A convertiplane UAV conducts a harbor area reconnaissance mission in poor visibility with icing conditions. The flight occurs within a defined polygonal airspace bounded between 10 and 120 meters AGL. Winds increase with altitude, reaching 9 m/s from 260 degrees at 100 meters, with gusts up to 4 m/s. The UAV carries a dual camera payload (RGB and thermal) along with radar and LiDAR sensors. GNSS signals are degraded due to multipath effects and moderate jamming at -85 dBm. A static no-fly zone blocks access near a critical infrastructure site at coordinates (200,150). A second dynamic no-fly zone moves southwest, requiring real-time avoidance. The mission requires a runway-assisted takeoff and landing, with transition phases between VTOL and fixed-wing flight. An icing fault event occurs mid-mission, reducing performance for one minute. Traffic and moving obstacles necessitate separation monitoring to avoid collisions.",Descend to 15 m AGL and continue reconnaissance,Climb to 120 m AGL to avoid wind shear layer,Turn east to exit dynamic no-fly zone immediately,Transition to VTOL and land at nearest runway,Accelerate forward to stabilize in fixed-wing mode,Hold altitude and reduce speed to limit ice buildup,Ascend to 130 m AGL for stronger GNSS signal,"[""Descend to 15 m AGL and continue reconnaissance"", ""Climb to 120 m AGL to avoid wind shear layer"", ""Turn east to exit dynamic no-fly zone immediately"", ""Transition to VTOL and land at nearest runway"", ""Accelerate forward to stabilize in fixed-wing mode"", ""Hold altitude and reduce speed to limit ice buildup"", ""Ascend to 130 m AGL for stronger GNSS signal""]","Descending to 15 m AGL reduces exposure to high winds and icing risk while staying within the 10–120 m AGL operational band. It maintains sensor effectiveness over the harbor and avoids violating the ceiling or dynamic no-fly zone. Other options exceed altitude limits, increase icing risk, or ignore wind-induced control challenges." 2025-11-01T18:00:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Quadrotor_Inspection_in_Hail_afb8403f8e2b_mcq.json,uavbench-mcq-v1,Harbor_Quadrotor_Inspection_in_Hail,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During GNSS jamming in 8 m/s winds and hail, how should the UAV maintain navigation integrity across the corridor?","This is an inspection mission using a quadrotor UAV equipped with RGB camera and LiDAR payload in an industrial harbor area. The flight occurs within a defined rectangular airspace bounded between 5 and 60 meters AGL, featuring a cylindrical no-fly zone around critical infrastructure. Weather conditions include strong 8 m/s winds from the west, gusts up to 4 m/s, poor visibility, and active hail, increasing flight risk. The UAV must navigate a corridor pattern across four waypoints while avoiding static and moving obstacles, including a sphere moving westward at 5 m/s. A second UAV enters the airspace from outside, requiring separation maintenance below 10 meters threshold with time-to-closest approach under 5 seconds. The mission faces dual challenges of GNSS jamming lasting 30 seconds and an icing event reducing performance for one minute. Communication experiences a 30-second uplink/downlink loss window, limiting remote intervention. Battery capacity is limited to 250 Wh with a 30% reserve, constraining hover and maneuver endurance. Operations require robust fault tolerance due to sensor degradation risks from hail, GNSS multipath near structures, and potential control disruptions. The UAV must complete the route within 600 seconds while adhering to safety and energy constraints.",Rely solely on preloaded GNSS waypoints with IMU dead reckoning,Switch to LiDAR-only SLAM using static harbor structures,Fuse IMU with optical flow from RGB in low visibility,Descend to 5 m AGL to reduce wind drift and hail impact,Use predictive wind model to correct IMU drift during jamming,Depend on LiDAR-ground correlation despite snow cover noise,Activate magnetometer for heading when visual cues are blocked,"[""Rely solely on preloaded GNSS waypoints with IMU dead reckoning"", ""Switch to LiDAR-only SLAM using static harbor structures"", ""Fuse IMU with optical flow from RGB in low visibility"", ""Descend to 5 m AGL to reduce wind drift and hail impact"", ""Use predictive wind model to correct IMU drift during jamming"", ""Depend on LiDAR-ground correlation despite snow cover noise"", ""Activate magnetometer for heading when visual cues are blocked""]","RGB optical flow complements IMU during GNSS outages, providing drift-resistant velocity estimates despite poor visibility. LiDAR may suffer from hail-induced noise and moving obstacles, while magnetometer readings are unreliable near harbor metal structures. This fusion strategy maintains positional accuracy with minimal latency, conserving energy and supporting obstacle avoidance in dynamic conditions." 2025-11-01T18:00:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Runway_Incursion_DAA_Scenario_65ba518cd138_mcq.json,uavbench-mcq-v1,Harbor_Runway_Incursion_DAA_Scenario,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 120 seconds, with 7.5 m/s winds from 210° and GNSS jamming, what action maintains stability and position?","The mission is an inspection flight in a harbor environment requiring runway use. The UAV operates within a defined polygonal airspace between 5 and 120 meters AGL. Weather includes 7.5 m/s winds from 210°, gusts up to 4 m/s, and a risk of lightning. A convertiplane UAV equipped with LiDAR, radar, RGB camera, and GNSS/IMU is used. The payload adds 1.2 kg with low aerodynamic drag. A static no-fly zone blocks the central area, and a dynamic obstacle moves near the route. GNSS multipath and intermittent jamming are present, with a 15-second GNSS jamming fault at 120 seconds. A second fault simulates partial motor failure at 300 seconds. The UAV must maintain 25-meter separation with a 20-second time-to-closest-approach threshold. Communication experiences a 15-second downlink loss window between 400 and 415 seconds.",Increase pitch by 8° to counteract wind gusts,Reduce airspeed to 12 m/s to minimize drag,Engage hover mode despite 7.5 m/s crosswind,Bank 30° into wind to maintain ground track,Apply full thrust vectoring downward for lift,Descend to 5 m AGL to avoid gust fluctuations,Use IMU and radar to sustain heading and speed,"[""Increase pitch by 8° to counteract wind gusts"", ""Reduce airspeed to 12 m/s to minimize drag"", ""Engage hover mode despite 7.5 m/s crosswind"", ""Bank 30° into wind to maintain ground track"", ""Apply full thrust vectoring downward for lift"", ""Descend to 5 m AGL to avoid gust fluctuations"", ""Use IMU and radar to sustain heading and speed""]","GNSS jamming invalidates position locking, requiring sensor fusion of IMU and radar for attitude and velocity control. At 7.5 m/s wind with gusts, reducing airspeed or descending increases stall risk and control loss. Only G maintains aerodynamic efficiency and closed-loop stability using available sensors without exceeding angle of attack or load factor limits." 2025-11-01T18:00:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Search_and_Rescue_with_Convertiplane_db98b4474c71_mcq.json,uavbench-mcq-v1,Harbor_Search_and_Rescue_with_Convertiplane,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,B,False,"At 320 s, GNSS fails; UAV is near (180,200,30) in 8 m/s wind. What immediate action balances safety, navigation, and mission continuity?","A convertiplane UAV conducts a harbor-based search and rescue mission within a confined polygonal airspace. The mission takes place in moderate wind conditions of 8 m/s from 210 degrees, with gusts up to 4 m/s and a risk of lightning. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors for detecting targets in varied conditions. Flight altitude is restricted between 10 m and 120 m AGL, with a static no-fly zone near coordinates (100,100) and a moving exclusion zone drifting at 1.8 m/s. A dynamic obstacle moves through the airspace at (180,200,30), requiring real-time path adjustments. The UAV must follow a grid search pattern across four waypoints and return to land at a designated runway threshold. A second UAV enters from the north boundary, requiring separation assurance with a 25 m minimum distance threshold. GNSS jamming occurs at 320 seconds, lasting 30 seconds, followed by IMU bias fault at 450 seconds, challenging navigation resilience. Communication experiences brief downlink losses at 100 s and 550 s, testing system robustness. The mission emphasizes fault tolerance, dynamic obstacle avoidance, and adherence to strict airspace and landing constraints.",Descend to 10 m to reduce wind impact and conserve battery,Hold position using IMU and visual odometry until GNSS returns,Climb to 120 m for better camera coverage and signal reception,Proceed to next waypoint using pre-planned GPS trajectory,Increase speed to exit dynamic obstacle zone before 450 s,Turn north to intercept second UAV for cooperative localization,Initiate return-to-land immediately to ensure runway arrival,"[""Descend to 10 m to reduce wind impact and conserve battery"", ""Hold position using IMU and visual odometry until GNSS returns"", ""Climb to 120 m for better camera coverage and signal reception"", ""Proceed to next waypoint using pre-planned GPS trajectory"", ""Increase speed to exit dynamic obstacle zone before 450 s"", ""Turn north to intercept second UAV for cooperative localization"", ""Initiate return-to-land immediately to ensure runway arrival""]","Holding position with IMU and visual odometry maintains safety near the dynamic obstacle and respects altitude limits while compensating for GNSS loss. It preserves energy and situational awareness ahead of the IMU fault at 450 s. Other options risk collision, exceed sensor limits, or violate mission completion and fault tolerance priorities." 2025-11-01T18:00:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Search_and_Rescue_with_Glider_UAV_20d9ec401e7e_mcq.json,uavbench-mcq-v1,Harbor_Search_and_Rescue_with_Glider_UAV,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,Which UAV configuration maximizes search coverage and safety at 110m altitude with 11.5 m/s wind and moving obstacles?,"This is a search and rescue mission using a fixed-wing glider UAV in a harbor environment. The UAV is equipped with RGB and thermal cameras for payload, relying on battery power with a 450 Wh capacity. Operating altitude ranges from 10 to 120 meters AGL within a defined rectangular geofence. A static no-fly zone blocks access to a cylinder near the center, while another dynamic no-fly zone moves through the area. Wind increases with altitude, reaching 11.5 m/s from 260 degrees at 100 meters, with gusts up to 4.2 m/s. The mission follows a corridor search pattern across five waypoints within a 10-minute time limit. There is conflicting traffic: another UAV enters from the east, flying westbound at 12 m/s. A moving obstacle drifts slowly westward at 35 meters altitude, posing a collision risk. Detection and avoidance thresholds require maintaining at least 25 meters separation and 15 seconds time-to-collision. GNSS signals may experience multipath effects near harbor structures, though no explicit outage is modeled.","Fixed-wing glider with thermal-RGB, 450 Wh battery, no propulsion","Quadcopter with same payload, 300 Wh, vertical takeoff capability","Hybrid VTOL with 500 Wh, active collision avoidance, moderate drag","Glider with reduced camera suite, 450 Wh, minimal power use","Propeller-assisted glider, 480 Wh, higher stall speed, active gust rejection","Glider with GNSS-denied navigation, 450 Wh, inertial-only backup","Lightweight glider, 400 Wh, faster descent, lower wind resistance","[""Fixed-wing glider with thermal-RGB, 450 Wh battery, no propulsion"", ""Quadcopter with same payload, 300 Wh, vertical takeoff capability"", ""Hybrid VTOL with 500 Wh, active collision avoidance, moderate drag"", ""Glider with reduced camera suite, 450 Wh, minimal power use"", ""Propeller-assisted glider, 480 Wh, higher stall speed, active gust rejection"", ""Glider with GNSS-denied navigation, 450 Wh, inertial-only backup"", ""Lightweight glider, 400 Wh, faster descent, lower wind resistance""]","The fixed-wing glider (A) leverages wind at altitude for extended range and endurance within the 450 Wh limit, enabling full corridor coverage. It avoids propulsion-related failure points while maintaining camera functionality for detection. Other options either consume more energy (B,C,E), reduce capability (D,F,G), or fail to meet separation thresholds under wind gusts and traffic." 2025-11-01T18:00:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Snowfall_Swarm_Inspection_c9caa6ed8ec9_mcq.json,uavbench-mcq-v1,Harbor_Snowfall_Swarm_Inspection,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best maintains swarm coordination at 120m AGL with icing, GNSS issues, and 600s mission duration?","This is a swarm UAV inspection mission in a harbor environment with light snowfall and poor visibility. The airspace is constrained between 10 and 120 meters AGL, featuring a static no-fly zone and a moving restricted zone. Four battery-powered octocopter UAVs operate as a coordinated swarm, with roles including leader, scout, and followers. Each drone carries an RGB camera and LiDAR payload, relying on GNSS, IMU, and barometric sensors for navigation. Strong winds from the southwest and gusty conditions add flight complexity. A dynamic moving obstacle and another UAV traffic participant require real-time separation management. GNSS multipath effects are likely due to harbor structures, and brief communication dropouts occur during the mission. An icing event at 240 seconds reduces aerodynamic efficiency for one minute. The mission must be completed within 600 seconds while maintaining minimum inter-drone separation and avoiding all obstacles and restricted zones.","Fixed-wing with RTK-GNSS, no LiDAR, 90s reserve","Quadcopter with visual-only, 80s battery, no redundancy","Octocopter with dual IMU, RGB, LiDAR, 110s reserve","Hexacopter with single GNSS, LiDAR, 70s battery","Octocopter with RGB only, no GNSS, 100s reserve","Quadcopter with LiDAR, IMU, 120s battery, no comms","Octocopter with single IMU, RGB, baro-only, 95s","[""Fixed-wing with RTK-GNSS, no LiDAR, 90s reserve"", ""Quadcopter with visual-only, 80s battery, no redundancy"", ""Octocopter with dual IMU, RGB, LiDAR, 110s reserve"", ""Hexacopter with single GNSS, LiDAR, 70s battery"", ""Octocopter with RGB only, no GNSS, 100s reserve"", ""Quadcopter with LiDAR, IMU, 120s battery, no comms"", ""Octocopter with single IMU, RGB, baro-only, 95s""]",Octocopter provides fault tolerance and lift for payloads; dual IMU counters GNSS multipath and icing disturbances. LiDAR and 110s reserve ensure obstacle detection and mission completion within 600s despite dropouts and wind. 2025-11-01T18:00:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Snowfall_Swarm_Operation_4444207d34f5_mcq.json,uavbench-mcq-v1,Harbor_Snowfall_Swarm_Operation,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"During icing, one UAV must adjust pitch and throttle at 6.5 m/s wind (240°) to maintain 40 m AGL in snowfall. What ensures lift sufficiency and stability?","Swarm UAVs conduct a survey mission in a forested harbor area during moderate snowfall with poor visibility. The operation involves four drones flying in a coordinated corridor pattern between waypoints at altitudes from 30 to 50 meters AGL. Weather includes 6.5 m/s winds from 240° with gusts up to 3.2 m/s, challenging flight stability. Each UAV is a six-rotor battery-powered swarm drone carrying an RGB camera and LiDAR payload. A static no-fly zone and a moving no-fly cylinder create dynamic airspace constraints. The swarm must maintain 10-meter inter-drone separation and avoid a horizontally drifting spherical obstacle. An icing event occurs mid-mission, reducing performance for one minute, while a 20-second comms loss window adds operational risk. Drones must avoid GNSS multipath near structures and maintain safe separation from intruder traffic entering the zone. The mission has a 10-minute time budget and requires return to a preferred landing site. Battery reserve is set to 30%, limiting usable energy for contingency planning.","Increase pitch to 15°, reduce throttle by 10%","Decrease pitch to 5°, increase throttle by 20%","Hold pitch at 10°, increase throttle by 15%","Increase pitch to 18°, hold throttle","Reduce pitch to 3°, reduce throttle by 15%","Bank 20° left, no throttle change","Pitch to 12°, increase throttle by 8%","[""Increase pitch to 15°, reduce throttle by 10%"", ""Decrease pitch to 5°, increase throttle by 20%"", ""Hold pitch at 10°, increase throttle by 15%"", ""Increase pitch to 18°, hold throttle"", ""Reduce pitch to 3°, reduce throttle by 15%"", ""Bank 20° left, no throttle change"", ""Pitch to 12°, increase throttle by 8%""]","Increased throttle compensates for lift loss from ice accretion and higher air density due to cold, while maintaining 10° pitch avoids stall margin erosion. This balances thrust, induced drag, and lift to sustain altitude under reduced aerodynamic efficiency." 2025-11-01T18:00:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Snowfall_Touch-and-Go_with_Swarm_Drones_716dab203fb6_mcq.json,uavbench-mcq-v1,Harbor_Snowfall_Touch-and-Go_with_Swarm_Drones,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 400 s, GNSS jamming at -75 dBm occurs with wind at 11 m/s. Which navigation strategy maintains precision?","This scenario involves a swarm drone touch-and-go mission in a harbor environment. The airspace is constrained between 5 and 120 meters AGL with a static no-fly zone and a moving dynamic exclusion zone. Weather conditions include moderate snowfall, poor visibility, and strong winds up to 11 m/s increasing with altitude. The UAV is a six-rotor swarm-capable drone with RGB camera payload and standard navigation sensors. GNSS signals are degraded due to multipath effects and intermittent jamming at -75 dBm. The mission follows a corridor pattern with predefined waypoints and a runway touch-and-go objective. Swarm operation includes four drones with role differentiation and a minimum 8-meter inter-drone separation. Operational challenges include an icing event at 240 seconds and a GNSS jamming fault at 400 seconds. Communication experiences two brief downlink loss windows, and RF signal strength may drop to -82 dBm. Thermal updrafts and moving obstacles add complexity to flight dynamics and collision avoidance.",Switch exclusively to GNSS-RTK for higher accuracy,Rely solely on IMU dead reckoning post-jamming,Fuse visual odometry with barometric altitude and wind-compensated IMU,Increase reliance on magnetometer heading outputs,Descend immediately to 5 m AGL using GPS-only control,Use RF signal strength to triangulate position,Follow swarm neighbor GPS without cross-verification,"[""Switch exclusively to GNSS-RTK for higher accuracy"", ""Rely solely on IMU dead reckoning post-jamming"", ""Fuse visual odometry with barometric altitude and wind-compensated IMU"", ""Increase reliance on magnetometer heading outputs"", ""Descend immediately to 5 m AGL using GPS-only control"", ""Use RF signal strength to triangulate position"", ""Follow swarm neighbor GPS without cross-verification""]",GNSS jamming at -75 dBm and wind up to 11 m/s degrade positioning and induce drift. Visual odometry fused with barometric pressure and wind-augmented IMU compensates for GNSS loss and motion disturbances. This fusion maintains situational awareness without relying on compromised or noisy signals. 2025-11-01T18:00:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Solar_Wing_Inspection_in_Fog_bf5d34c2cb15_mcq.json,uavbench-mcq-v1,Harbor_Solar_Wing_Inspection_in_Fog,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"UAV must inspect bridge at 10–120 m AGL in fog, avoid moving sphere, and land with 120s reserve amid GNSS outages.","This UAV mission involves inspecting infrastructure at a bridge site located near a harbor. The solar-powered fixed-wing UAV is equipped with RGB cameras and standard navigation sensors, but lacks thermal imaging. It operates in poor visibility due to fog, with moderate winds increasing with altitude and gusts up to 3.2 m/s. The flight occurs within a defined polygonal airspace, bounded between 10 m and 120 m AGL, featuring a static no-fly zone near the bridge and a moving restricted zone that shifts diagonally. A dynamic moving obstacle—a sphere traveling southwest—adds complexity to path planning. The UAV must follow a corridor inspection pattern while avoiding conflicts with another UAV on a crossing trajectory. GNSS signals are degraded by multipath effects and electromagnetic interference, requiring robust navigation strategies. Communication links experience brief outages, and the UAV must maintain separation from traffic and obstacles per DAA thresholds. The mission concludes with a required runway landing, constrained by time and energy reserves.",Continue inspection despite GNSS loss; mission priority overrides navigation risk.,"Descend below 10 m to stabilize in calmer air, avoiding high winds above.",Abort mission immediately due to degraded comms and collision risks with moving sphere.,Fly through restricted zone briefly to maintain inspection corridor efficiency.,Prioritize conflict avoidance with other UAV; adjust path even if inspection gaps occur.,"Delay landing to complete final scan pass, using last 90s of energy reserve.",Maintain altitude and course using sensor fusion; proceed to runway with DAA active.,"[""Continue inspection despite GNSS loss; mission priority overrides navigation risk."", ""Descend below 10 m to stabilize in calmer air, avoiding high winds above."", ""Abort mission immediately due to degraded comms and collision risks with moving sphere."", ""Fly through restricted zone briefly to maintain inspection corridor efficiency."", ""Prioritize conflict avoidance with other UAV; adjust path even if inspection gaps occur."", ""Delay landing to complete final scan pass, using last 90s of energy reserve."", ""Maintain altitude and course using sensor fusion; proceed to runway with DAA active.""]","Maintaining safe separation and navigation integrity via sensor fusion upholds safety-of-life and airspace rules. Landing with active DAA ensures compliance with emergency preparedness and lawful operation. Other options risk collision, violate altitude boundaries, or compromise reserves essential for safety." 2025-11-01T18:00:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Solar_Wing_Recon_During_Thermal_Updrafts_ed490f355963_mcq.json,uavbench-mcq-v1,Harbor_Solar_Wing_Recon_During_Thermal_Updrafts,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 10-minute endurance, thermal updrafts, and 50–400 m AGL limits, which strategy maximizes search coverage while ensuring return?","This UAV mission is a search and rescue operation conducted in a harbor environment. The solar-powered fixed-wing UAV is equipped with RGB and thermal cameras for payload. It operates within a defined airspace polygon, between 50 and 400 meters AGL, with a static no-fly zone near a harbor structure and a moving no-fly zone due to dynamic obstacles. The UAV must avoid a drifting spherical obstacle and maintain separation from other air traffic while navigating thermal updrafts that provide lift. Wind increases with altitude and shifts direction, creating complex flight conditions. GNSS signals are degraded by multipath effects and moderate jamming, requiring robust navigation solutions. The UAV must follow a corridor search pattern across five waypoints and return to a runway-aligned landing site. Communication dropouts occur briefly at two intervals, demanding intermittent autonomy. Battery endurance and energy management are critical due to the 10-minute time budget and reserve requirements. The mission emphasizes safe operation under environmental and technical constraints.",Climb continuously to 400 m for longest glide back,Fly at 50 m AGL to minimize wind resistance and power use,Use thermal updrafts to extend loiter time without motor power,Operate both RGB and thermal cameras at full resolution continuously,Skip waypoints to conserve energy for obstacle avoidance maneuvers,Transmit all imagery in real-time during communication windows,Circle each waypoint at 200 m AGL using autopilot in high-power mode,"[""Climb continuously to 400 m for longest glide back"", ""Fly at 50 m AGL to minimize wind resistance and power use"", ""Use thermal updrafts to extend loiter time without motor power"", ""Operate both RGB and thermal cameras at full resolution continuously"", ""Skip waypoints to conserve energy for obstacle avoidance maneuvers"", ""Transmit all imagery in real-time during communication windows"", ""Circle each waypoint at 200 m AGL using autopilot in high-power mode""]","Exploiting thermal updrafts reduces motor usage, preserving battery for critical phases. This extends effective mission time without sacrificing coverage or violating altitude constraints. Other options either increase power draw or reduce operational efficiency, risking failure to return." 2025-11-01T18:00:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Solar_Wing_Survey_in_Hail_cbbc684ffdb0_mcq.json,uavbench-mcq-v1,Harbor_Solar_Wing_Survey_in_Hail,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,A,False,"At 300s, GNSS jamming begins and a spherical obstacle drifts into the corridor; which action maintains survey integrity within 600s?","This UAV mission involves a solar-powered fixed-wing aircraft conducting a corridor survey in an urban canyon environment near a harbor. The airspace is constrained between 10 and 120 meters AGL, with a static no-fly zone near a runway threshold and a moving no-fly zone shifting southwest. Weather conditions include strong winds increasing with altitude, poor visibility, hail, and icing risks, with wind gusts up to 4.5 m/s. The UAV is equipped with radar and RGB camera payload but lacks thermal and lidar sensors, relying on GNSS, IMU, and other standard navigation aids. Significant environmental challenges include GNSS multipath, active jamming at -75 dBm, and electromagnetic interference. The UAV must follow a predefined survey route within a 600-second time limit and land on a designated runway, requiring precise approach alignment. Air traffic includes a crossing UAV, and a moving spherical obstacle drifts through the area, necessitating real-time separation. A fault sequence introduces icing at 180 seconds and GNSS jamming at 300 seconds, impacting flight performance and navigation. Downlink communication is lost between 300 and 345 seconds, limiting telemetry transmission. The mission emphasizes resilience to adverse weather, sensor degradation, and dynamic obstacles while maintaining airspace compliance.","Climb to 110m AGL, reroute west to avoid obstacle, resume course","Descend to 20m AGL, fly direct through urban canyon avoiding obstacle","Hold position at 60m AGL until obstacle clears, then proceed north","Turn east to bypass obstacle at 100m AGL, accept 40s delay","Continue current heading, reduce speed to assess jamming impact","Bank sharply, cut through NFZ edge to save 25s on survey leg","Descend to 10m AGL, fly under obstacle with radar-guided navigation","[""Climb to 110m AGL, reroute west to avoid obstacle, resume course"", ""Descend to 20m AGL, fly direct through urban canyon avoiding obstacle"", ""Hold position at 60m AGL until obstacle clears, then proceed north"", ""Turn east to bypass obstacle at 100m AGL, accept 40s delay"", ""Continue current heading, reduce speed to assess jamming impact"", ""Bank sharply, cut through NFZ edge to save 25s on survey leg"", ""Descend to 10m AGL, fly under obstacle with radar-guided navigation""]","Climbing to 110m AGL stays within the 10–120m airspace and avoids the moving obstacle with radar-assisted re-routing. It preserves mission time by minimizing deviation while maintaining GNSS-degraded navigation safety and avoiding NFZ encroachment. Other options breach altitude, NFZ, or delay arrival beyond tolerance." 2025-11-01T18:00:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Surveillance_Disaster_Recon_5afbce1958db_mcq.json,uavbench-mcq-v1,Harbor_Surveillance_Disaster_Recon,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 450 s, GNSS degrades near harbor structures; UAV drifts toward no-fly zone. Wind is 8 m/s westerly. What action prioritizes safety and mission integrity?","Fixed-wing UAV conducts disaster reconnaissance over a harbor area with poor visibility and dust. The mission involves flying a corridor pattern within a defined airspace between 30 and 150 meters AGL. Strong westerly winds at 8 m/s with gusts up to 4 m/s challenge flight stability and navigation. The UAV carries radar, RGB, and thermal imaging payloads for surveillance and damage assessment. A no-fly zone cylinder blocks access to a central area near the harbor's midpoint. The UAV must avoid a moving obstacle drifting westward at 5 m/s and maintain separation from other air traffic. Communication links experience brief downlink losses at 120 and 450 seconds into the mission. GNSS signals may suffer multipath interference due to surrounding harbor structures. The UAV must return to a designated runway for landing, requiring precise approach planning. Battery endurance and sensor performance are critical under adverse weather and operational constraints.",Continue mission using dead reckoning to stay on course,Climb above 150 m AGL to regain GNSS signal stability,Abort mission immediately and return to runway,Descend below 30 m AGL to reduce wind exposure,Hover in place until GNSS recovers for position fix,Fly around no-fly zone at reduced speed and altitude,Transmit emergency beacon and land at nearest dock,"[""Continue mission using dead reckoning to stay on course"", ""Climb above 150 m AGL to regain GNSS signal stability"", ""Abort mission immediately and return to runway"", ""Descend below 30 m AGL to reduce wind exposure"", ""Hover in place until GNSS recovers for position fix"", ""Fly around no-fly zone at reduced speed and altitude"", ""Transmit emergency beacon and land at nearest dock""]","Continuing or maneuvering near the no-fly zone risks collision and violates airspace regulations. Descending or hovering increases danger from obstacles and wind. Aborting ensures safety, complies with lawful boundaries, and prevents escalation of risk to people or property." 2025-11-01T18:00:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Solar_Wing_Survey_a6222e8155a8_mcq.json,uavbench-mcq-v1,Harbor_Solar_Wing_Survey,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"With 600 s mission time, 6.5 m/s wind, and degraded GNSS, which strategy maximizes survey completion while preserving battery and avoiding obstacles?","This is a fixed-wing solar UAV conducting a corridor survey mission in a forested area. The UAV operates within a defined airspace bounded by a polygonal geofence, with a minimum altitude of 10 meters and a maximum of 150 meters AGL. Weather conditions include a 6.5 m/s wind from 240 degrees with gusts up to 3.2 m/s and reduced visibility due to dust. The UAV is equipped with an RGB camera payload and relies on GNSS, IMU, magnetometer, and barometer for navigation. GNSS signals are degraded by multipath effects and electromagnetic interference, with moderate jamming at -95 dBm. A static no-fly zone and a moving no-fly cylinder must be avoided, along with a dynamic obstacle traveling westward. Another UAV is present in the airspace, entering from the east, requiring separation maintenance. The mission requires use of a designated runway for landing and includes communication loss windows. The UAV must complete its waypoint survey within 600 seconds while managing battery reserves and avoiding stalls or geofence violations.",Climb to 150 m for better GNSS signal and survey coverage,Fly at 10 m AGL to minimize energy use and avoid wind gusts,Reduce camera frame rate to save power and extend endurance,Shorten path by skipping waypoints near the moving no-fly zone,Increase speed to 20 m/s to finish early and conserve battery,Circle westward to match dynamic obstacle and delay survey,Land immediately to prevent risk during communication loss,"[""Climb to 150 m for better GNSS signal and survey coverage"", ""Fly at 10 m AGL to minimize energy use and avoid wind gusts"", ""Reduce camera frame rate to save power and extend endurance"", ""Shorten path by skipping waypoints near the moving no-fly zone"", ""Increase speed to 20 m/s to finish early and conserve battery"", ""Circle westward to match dynamic obstacle and delay survey"", ""Land immediately to prevent risk during communication loss""]","Reducing camera frame rate cuts payload power draw, extending battery-limited endurance without sacrificing coverage. This balances mission completion and energy constraints under degraded navigation. Other options either increase energy use, reduce mission utility, or violate time or safety bounds." 2025-11-01T18:00:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Surveillance_Swarm_Coordination_13d87ffa03b6_mcq.json,uavbench-mcq-v1,Harbor_Surveillance_Swarm_Coordination,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which UAV role should handle real-time obstacle updates given 5 m/s drifting sphere, GNSS multipath, and 50 m separation?","Fixed-wing UAV swarm conducts harbor surveillance using a grid pattern at 60–90 meters altitude. Operations occur within a defined polygonal airspace containing a no-fly zone near a harbor structure. Wind blows from the south at 6.5 m/s with gusts up to 3.2 m/s, but visibility remains good. Each UAV is equipped with radar, RGB and thermal cameras, and standard navigation sensors. The swarm consists of four UAVs with roles including leader, scout, relay, and follower, maintaining at least 50 meters separation. A moving spherical obstacle drifts eastward at 5 m/s near the mission center. UAVs must avoid a cylindrical no-fly zone and adhere to geofence and altitude constraints. Mission requires runway-aligned takeoff and landing, with primary and emergency sites designated. Coordination must account for GNSS signal multipath risks near harbor infrastructure. Battery endurance and traffic from another UAV also constrain mission execution.",Leader coordinates swarm path adjustments,Scout detects obstacles with thermal camera,Relay transmits data despite signal multipath,Follower maintains formation using radar,Leader uses GPS for precise swarm control,Scout flies closer to no-fly zone for imaging,Relay powers secondary navigation system,"[""Leader coordinates swarm path adjustments"", ""Scout detects obstacles with thermal camera"", ""Relay transmits data despite signal multipath"", ""Follower maintains formation using radar"", ""Leader uses GPS for precise swarm control"", ""Scout flies closer to no-fly zone for imaging"", ""Relay powers secondary navigation system""]","The scout specializes in detection using onboard sensors like thermal and RGB cameras, providing early obstacle data without relying on GNSS. This enables proactive swarm rerouting around the drifting sphere while maintaining separation and avoiding multipath-affected GPS. Other roles lack the real-time sensing focus needed for dynamic obstacle response." 2025-11-01T18:00:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Surveillance_Glider_Mission_9b338e0a4575_mcq.json,uavbench-mcq-v1,Harbor_Surveillance_Glider_Mission,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"Which action ensures safe corridor surveying amid GNSS jamming from 180–210 s, wind at 8.5 m/s, and a moving obstacle?","This is a harbor surveillance mission using a fixed-wing glider UAV equipped with RGB camera payload. The flight occurs in a defined harbor airspace with a maximum altitude of 150 meters AGL and a minimum of 30 meters. Winds are from 210 degrees at 8.5 m/s with gusts up to 4.2 m/s, and there is a risk of lightning. The glider has a battery capacity of 450 Wh and relies on efficient aerodynamics for endurance. A no-fly zone cylinder is located at the center of the airspace, restricting access around coordinates (400, 300). The mission involves surveying a corridor pattern across five waypoints within a 600-second time limit. The UAV must maintain separation from a moving obstacle traveling westward and avoid a conflicting traffic UAV entering the airspace. GNSS jamming is expected between 180 and 210 seconds, reducing signal strength by 70%. The UAV must also comply with communication loss windows and return safely using the designated runway-aligned landing site.",Climb to 150 m to extend visual range during jamming,Delay survey start by 60 s to reset energy budget,Adjust heading westward to pre-emptively avoid traffic UAV,Descend to 30 m AGL to minimize wind drift effect,Synchronize waypoint timing with obstacle's westward motion,"Increase camera frame rate, reducing bandwidth for coordination",Abort mission at 180 s to preserve battery for landing,"[""Climb to 150 m to extend visual range during jamming"", ""Delay survey start by 60 s to reset energy budget"", ""Adjust heading westward to pre-emptively avoid traffic UAV"", ""Descend to 30 m AGL to minimize wind drift effect"", ""Synchronize waypoint timing with obstacle's westward motion"", ""Increase camera frame rate, reducing bandwidth for coordination"", ""Abort mission at 180 s to preserve battery for landing""]",Coordinating waypoint timing with the moving obstacle’s trajectory maintains safe separation without wasting energy. It preserves communication and navigation resources during GNSS jamming by relying on predictive path alignment. This choice optimizes spatiotemporal concurrency while sustaining mission continuity and team situational awareness. 2025-11-01T18:00:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Surveillance_by_High-Altitude_Pseudo-Satellite_in_Jungle_Airspace_Under_Microburst_Risk_0c418a91472a_mcq.json,uavbench-mcq-v1,Harbor_Surveillance_by_High-Altitude_Pseudo-Satellite_in_Jungle_Airspace_Under_Microburst_Risk,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,Which configuration optimizes endurance and fault tolerance at 3000 m with 18 m/s winds and GNSS jamming?,"A high-altitude pseudo-satellite UAV conducts a harbor surveillance mission in jungle airspace with elevated microburst risk. The UAV operates between 500 and 4500 meters AGL within a defined polygonal geofence. It is equipped with radar, RGB and thermal cameras, and relies on battery power with significant energy demands. Wind speeds increase with altitude, reaching 18 m/s from the west at 3000 meters, and thermal updrafts are present in two locations. GNSS signals face multipath interference and moderate jamming, compounded by electromagnetic interference. A static no-fly zone surrounds a central location, and a dynamic no-fly zone moves through the airspace. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV on a crossing path. The mission involves orbiting key waypoints at varying altitudes with a 10-minute time budget. Battery reserve is set to 30%, and fault conditions include a 45-second GNSS jamming event. Communication links experience a brief downlink outage during the fault period.",Solar-electric propulsion with IMU/GPS fusion,Battery-only with radar altimeter backup,Turboprop hybrid with dual GNSS receivers,Fuel cell with terrain-relative navigation,Increased battery mass for jamming resilience,Pure vision-based navigation to save power,Lightweight frame with minimal redundancy,"[""Solar-electric propulsion with IMU/GPS fusion"", ""Battery-only with radar altimeter backup"", ""Turboprop hybrid with dual GNSS receivers"", ""Fuel cell with terrain-relative navigation"", ""Increased battery mass for jamming resilience"", ""Pure vision-based navigation to save power"", ""Lightweight frame with minimal redundancy""]","Fuel cells offer higher energy density than batteries, extending endurance within the 30% reserve limit. Terrain-relative navigation ensures positioning accuracy during 45-second GNSS jamming and multipath. It balances power, reliability, and obstacle avoidance better than less resilient or heavier alternatives." 2025-11-01T18:00:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Surveillance_in_Volcanic_Zone_93f5e6da206e_mcq.json,uavbench-mcq-v1,Harbor_Surveillance_in_Volcanic_Zone,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,D,False,"Given GNSS multipath and a 30-second separation threshold, how should the UAV maintain secure, stable separation from southbound traffic?","This is a fixed-wing UAV inspection mission in a volcanic zone airspace near a harbor. The UAV operates within a defined corridor between 50 and 300 meters AGL, bounded by a polygonal geofence. Weather conditions include a 6 m/s wind from 240 degrees with moderate gusts, but good visibility and no adverse phenomena. The UAV carries a radar, RGB camera, and thermal camera for surveillance and environmental monitoring. A cylindrical no-fly zone of 50-meter radius and 200-meter ceiling is centered at (400, 300), requiring careful navigation. The mission requires use of a runway aligned at 90 degrees for takeoff and landing. The UAV must avoid a conflicting traffic UAV entering from the south at 20 m/s. Separation assurance is based on a 25-meter distance and 30-second time-to-closest-approach threshold. GNSS signals may experience multipath due to surrounding volcanic terrain. Battery endurance is critical, with a reserve fraction of 30% and a 10-minute time budget.",Rely solely on encrypted GNSS with radar cross-verify,Use ADS-B without authentication to track traffic,Disable encryption to reduce control loop latency,Switch to INS with LIDAR terrain matching,Transmit position via unencrypted RF telemetry,Override autopilot with manual command link,Descend below 50m to avoid conflict visually,"[""Rely solely on encrypted GNSS with radar cross-verify"", ""Use ADS-B without authentication to track traffic"", ""Disable encryption to reduce control loop latency"", ""Switch to INS with LIDAR terrain matching"", ""Transmit position via unencrypted RF telemetry"", ""Override autopilot with manual command link"", ""Descend below 50m to avoid conflict visually""]",INS with LIDAR terrain matching mitigates GNSS multipath and spoofing risks while maintaining navigation integrity. It preserves control stability by avoiding reliance on compromised signals. This layered approach ensures availability and safety without sacrificing cyber-physical resilience. 2025-11-01T18:00:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Surveillance_with_Fixed-Wing_UAV_5892fd417019_mcq.json,uavbench-mcq-v1,Harbor_Surveillance_with_Fixed-Wing_UAV,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"A fixed-wing UAV must inspect waypoints in 600 s, avoid a 50 m no-fly zone at (400, 300), and maintain separation from another UAV under GNSS degradation.","This is a harbor surveillance mission using a fixed-wing UAV equipped with radar and RGB camera payload. The flight occurs in a designated bridge site airspace with a maximum altitude of 120 meters AGL and a minimum of 20 meters. Winds are moderate at 6 m/s from 240 degrees at ground level, increasing to 9 m/s and shifting direction with altitude. A no-fly zone cylinder restricts access around the center of the area at (400, 300) with a 50-meter radius and ceiling up to 80 meters. The UAV must maintain separation from a conflicting traffic UAV moving diagonally through the zone and avoid a slowly drifting spherical obstacle near (500, 400). GNSS signals are degraded due to multipath effects and electromagnetic interference, requiring robust navigation solutions. The mission involves inspecting key waypoints in a corridor pattern, requiring runway-assisted takeoff and landing at the designated threshold. Battery endurance is constrained, with a reserve fraction of 25% to ensure safe return. Communication links experience two brief outage windows, demanding resilient data handling. The UAV must avoid geofence breaches, maintain safe separation, and complete the inspection within 600 seconds.",Fly direct at 100 m AGL to maximize time on task,Descend to 15 m AGL to evade radar interference,Adjust heading to 240° to align with wind at 6 m/s,Delay takeoff to synchronize with comms availability,Reroute west of no-fly zone maintaining 70 m AGL,Climb to 130 m AGL for better GNSS signal clarity,Match speed with conflicting UAV for formation flying,"[""Fly direct at 100 m AGL to maximize time on task"", ""Descend to 15 m AGL to evade radar interference"", ""Adjust heading to 240° to align with wind at 6 m/s"", ""Delay takeoff to synchronize with comms availability"", ""Reroute west of no-fly zone maintaining 70 m AGL"", ""Climb to 130 m AGL for better GNSS signal clarity"", ""Match speed with conflicting UAV for formation flying""]","E ensures safe lateral and vertical separation from the no-fly zone and conflicting traffic while respecting altitude bounds. It maintains mission progress within the 600-second window without relying on degraded high-altitude signals. Other options violate altitude limits, increase collision risk, or disrupt timing under communication constraints." 2025-11-01T18:00:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Surveillance_with_HAPS_in_Fog_b75f1506a220_mcq.json,uavbench-mcq-v1,Harbor_Surveillance_with_HAPS_in_Fog,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"At 1000 m AGL, 15 m/s winds and GNSS multipath occur; which navigation strategy maintains corridor accuracy during downlink outages?","This scenario involves a harbor surveillance mission using a high-altitude pseudo-satellite (HAPS) UAV equipped with radar, RGB, and thermal cameras. The operation takes place near an airport perimeter with restricted airspace and a defined geofence. Weather conditions include poor visibility due to fog and icing risks, with increasing winds aloft up to 15 m/s at 1000 meters. The UAV operates within an altitude range of 100 to 1200 meters AGL and must avoid both static and moving no-fly zones, including a dynamic obstacle drifting westward. GNSS signals are degraded by multipath effects and moderate jamming, while electromagnetic interference poses additional navigation challenges. The mission follows a corridor inspection pattern with four waypoints, requiring precise navigation and adherence to separation standards. A swarm of three UAVs operates cooperatively, maintaining a minimum 50-meter inter-vehicle separation, with roles assigned for leadership, scouting, and communication relay. The UAV must also withstand an icing event lasting 60 seconds with moderate severity, impacting aerodynamic performance. Communication experiences brief downlink outages, and the mission emphasizes runway-aligned takeoff and landing, with preferred and emergency sites designated near the runway threshold.",Prioritize GNSS despite moderate jamming for waypoint alignment,Switch to IMU-visual fusion with thermal-feature tracking,Rely on radar altimeter and barometric hold only,Use RGB optical flow for drift correction in fog,Follow pre-programmed heading ignoring wind drift,Depend on magnetic compass with EMI compensation,Navigate via LiDAR SLAM in low visibility,"[""Prioritize GNSS despite moderate jamming for waypoint alignment"", ""Switch to IMU-visual fusion with thermal-feature tracking"", ""Rely on radar altimeter and barometric hold only"", ""Use RGB optical flow for drift correction in fog"", ""Follow pre-programmed heading ignoring wind drift"", ""Depend on magnetic compass with EMI compensation"", ""Navigate via LiDAR SLAM in low visibility""]","IMU-visual fusion compensates for GNSS degradation and wind-induced drift by leveraging stable thermal features visible through fog. Thermal-camera-assisted visual odometry provides environmental resilience and inter-UAV relative positioning, ensuring corridor adherence during communication outages. Other sensors like LiDAR or RGB suffer from poor visibility, while magnetic and barometric systems are compromised by EMI and wind turbulence." 2025-11-01T18:00:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Surveillance_with_Solar_Wing_UAV_acb40cf7e509_mcq.json,uavbench-mcq-v1,Harbor_Surveillance_with_Solar_Wing_UAV,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which UAV configuration best handles 16 m/s winds, GNSS degradation, and 30% battery reserve over a 5-waypoint harbor route?","This is a harbor surveillance inspection mission using a solar-powered fixed-wing UAV equipped with radar, RGB, and thermal cameras. The flight occurs near an airport perimeter with restricted airspace and a defined geofence polygon. Weather conditions include strong winds up to 16 m/s aloft, poor visibility, and hail, with a dynamic wind profile shifting in speed and direction with altitude. The UAV must avoid a static no-fly zone around a central point and a moving no-fly zone drifting northeast. A second UAV and a moving spherical obstacle create additional collision risks, requiring strict separation monitoring. GNSS signals are degraded by multipath effects and moderate jamming, while electromagnetic interference and an icing event at 120 seconds further challenge operations. The mission follows a corridor pattern with five waypoints, requiring a runway approach for landing. Battery endurance is critical, with a 30% reserve mandated and communication dropouts expected between 400–415 seconds. Thermal updrafts near the harbor may assist lift, but high drag and wind gusts increase energy consumption and control difficulty.",Lightweight carbon frame with single camera and no radar,"Dual GNSS receivers with radar, RGB, and thermal fusion",High-wing design with solar assist and minimal sensors,"Redundant IMUs, no thermal camera, single-band GNSS",Fixed-pitch propeller with radar and basic wind estimation,Adaptive flight controller with single GNSS and no radar,"Tandem-wing layout with dual cameras, no solar charging","[""Lightweight carbon frame with single camera and no radar"", ""Dual GNSS receivers with radar, RGB, and thermal fusion"", ""High-wing design with solar assist and minimal sensors"", ""Redundant IMUs, no thermal camera, single-band GNSS"", ""Fixed-pitch propeller with radar and basic wind estimation"", ""Adaptive flight controller with single GNSS and no radar"", ""Tandem-wing layout with dual cameras, no solar charging""]","System B provides sensor fusion for obstacle detection in poor visibility and GNSS resilience through dual receivers. Its radar supports moving obstacle tracking, while thermal and RGB enhance harbor surveillance. This configuration balances energy use, fault tolerance, and situational awareness under wind, jamming, and icing risks." 2025-11-01T18:00:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Survey_Mission_with_Glider_UAV_fedab96a752f_mcq.json,uavbench-mcq-v1,Harbor_Survey_Mission_with_Glider_UAV,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 60 m AGL, strong 8 m/s winds and icing require immediate action to maintain grid survey integrity and 25 m separation.","This is a harbor survey mission using a fixed-wing glider UAV equipped with an RGB camera and standard navigation sensors. The operation takes place in a confined harbor airspace with a defined polygonal boundary and a cylindrical no-fly zone near the center. The UAV must fly a rectangular grid pattern at 60 meters altitude while avoiding the no-fly zone and maintaining separation from dynamic obstacles. Weather conditions include strong 8 m/s winds from 240 degrees, gusts up to 4 m/s, poor visibility, and a hail event during the flight. A critical icing event occurs mid-mission, degrading performance for one minute. The UAV must also comply with runway approach requirements and maintain communication despite two brief downlink loss windows. Battery endurance is limited, with a 30% reserve required and energy consumption affected by wind and drag. A moving spherical obstacle travels through the airspace, requiring real-time detection and avoidance. GNSS signals may experience multipath effects due to the harbor environment, and the UAV must maintain at least 25 meters separation from intruding traffic. The mission must be completed within 600 seconds while adhering to all altitude, safety, and operational constraints.",Descend to 45 m to reduce wind drift and continue grid,Climb to 75 m to avoid icing layer and resume survey,Abort survey and divert directly to runway approach,"Turn downwind, delay grid, and monitor icing accumulation",Enter holding pattern at 60 m until hail subsides,Reduce speed to conserve battery during icing event,Adjust grid heading to crosswind alignment and maintain 60 m,"[""Descend to 45 m to reduce wind drift and continue grid"", ""Climb to 75 m to avoid icing layer and resume survey"", ""Abort survey and divert directly to runway approach"", ""Turn downwind, delay grid, and monitor icing accumulation"", ""Enter holding pattern at 60 m until hail subsides"", ""Reduce speed to conserve battery during icing event"", ""Adjust grid heading to crosswind alignment and maintain 60 m""]","Maintaining 60 m AGL complies with mission altitude and avoids NFZ violations. Adjusting heading to crosswind minimizes drift and control loss during icing, preserving survey accuracy. Other options violate altitude, endurance, or delay critical path beyond 600 seconds." 2025-11-01T18:00:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Survey_in_Low_Visibility_fb6df0a06d40_mcq.json,uavbench-mcq-v1,Harbor_Survey_in_Low_Visibility,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,"Which UAV configuration best handles icing, GNSS issues, and 12 m/s winds during a 600-second harbor survey with 30% battery reserve?","Fixed-wing UAV conducts a harbor survey mission in low visibility and icing conditions. Operating within a defined harbor airspace, the UAV flies between 20 and 120 meters AGL. Weather includes strong winds up to 12 m/s increasing with altitude, poor visibility, and icing risk. The UAV is equipped with radar and RGB camera for payload imaging, relying on GNSS/IMU navigation. Notable constraints include GNSS multipath effects, electromagnetic interference, and moderate comms loss windows. A static no-fly zone and a moving no-fly cylinder require dynamic path adjustments. Another UAV and a moving obstacle challenge separation, with DAA thresholds set at 25 meters and 15 seconds TTC. The mission requires a runway approach and must complete within 600 seconds. Battery reserve is set to 30%, with energy consumption impacted by wind and drag. An icing event occurs mid-mission, reducing performance for one minute.","Fixed-wing with de-icing, dual GNSS, and radar-based navigation",Quadcopter with extended battery and RGB-only obstacle avoidance,"Fixed-wing with standard wings, single GNSS, and no de-icing","VTOL with radar, de-icing, but no GNSS redundancy",Fixed-wing using camera-only navigation to save power,"Glider-type UAV with maximum endurance, no propulsion control",Multirotor with dual radar but high wind vulnerability,"[""Fixed-wing with de-icing, dual GNSS, and radar-based navigation"", ""Quadcopter with extended battery and RGB-only obstacle avoidance"", ""Fixed-wing with standard wings, single GNSS, and no de-icing"", ""VTOL with radar, de-icing, but no GNSS redundancy"", ""Fixed-wing using camera-only navigation to save power"", ""Glider-type UAV with maximum endurance, no propulsion control"", ""Multirotor with dual radar but high wind vulnerability""]","Option A provides de-icing to maintain performance, dual GNSS to mitigate multipath and signal loss, and radar navigation for low visibility. It balances wind resistance, fault tolerance, and sensor reliability critical for the mission. Other options fail in redundancy, environmental adaptability, or energy efficiency under wind and icing." 2025-11-01T18:00:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Convoy_Escort_in_Snowfall_193c5d1cb51f_mcq.json,uavbench-mcq-v1,Harbor_Convoy_Escort_in_Snowfall,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 200s, icing reduces lift; snow limits visibility to 50m, and GNSS multipath exceeds 8m error. How should navigation adapt?","This scenario involves a UAV convoy escort mission in a harbor environment. The airspace is constrained between 10 and 120 meters AGL with a fixed polygonal geofence and two no-fly zones, one static and one dynamic. Weather includes moderate snowfall, 6 m/s winds from the west, and poor visibility, impacting sensor performance and flight stability. A single quadrotor UAV, equipped with RGB and thermal cameras, operates on battery power with a 30% reserve requirement. The UAV must follow a predefined corridor of waypoints while avoiding a moving obstacle and a drifting no-fly zone. A second UAV is present in the airspace, traveling on a fixed trajectory, requiring separation management. The mission includes an icing event at 200 seconds, reducing performance for one minute. Communication experiences two brief downlink loss windows, potentially disrupting telemetry and control. GNSS signals may suffer from multipath due to surrounding harbor structures. The UAV must complete the mission within 600 seconds while maintaining safe separation and avoiding all restricted zones.",Switch to pure GNSS with EKF filtering,Rely solely on IMU dead reckoning,Increase reliance on visual-inertial odometry,Descend below 10m to avoid wind shear,Use thermal-RGB fusion for obstacle detection,Hover until GNSS signal stabilizes,Follow second UAV's trajectory directly,"[""Switch to pure GNSS with EKF filtering"", ""Rely solely on IMU dead reckoning"", ""Increase reliance on visual-inertial odometry"", ""Descend below 10m to avoid wind shear"", ""Use thermal-RGB fusion for obstacle detection"", ""Hover until GNSS signal stabilizes"", ""Follow second UAV's trajectory directly""]",Visual-inertial odometry compensates for GNSS multipath and maintains localization under moderate snow by fusing camera data with IMU. It reduces drift compared to pure IMU and adapts during icing-induced dynamics. This fusion preserves navigation integrity within the constrained corridor despite environmental degradation. 2025-11-01T18:00:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Foggy_Touch-and-Go_Runway_Practice_bee6053bf7c6_mcq.json,uavbench-mcq-v1,Foggy_Touch-and-Go_Runway_Practice,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,A,False,"A quadrotor must touch down on a 400m west-aligned runway with 6 m/s winds, fog, and a cylindrical NFZ near centerline.","This UAV mission involves a touch-and-go flight pattern in a rural airspace with a designated runway. The quadrotor UAV is equipped with an RGB camera and standard navigation sensors but lacks lidar and thermal imaging. Weather conditions include strong 6 m/s winds from the west and gusts up to 3 m/s, with poor visibility due to fog. The flight area is bounded by a polygon geofence and includes a cylindrical no-fly zone near the runway centerline. The UAV must avoid the NFZ while performing approach and departure maneuvers along the 400-meter runway aligned west. Operations are constrained to altitudes between 5 and 120 meters AGL. Battery capacity is 320 Wh, with a 30% reserve required, limiting total flight time. The UAV spawns 50 meters east of the runway threshold and must execute a precise approach, touchdown, and climb-out. Key performance metrics include mission success, battery usage, and adherence to separation minima despite GNSS degradation risks from fog and wind.","Approach from east at 30 m AGL, align with runway, touch down, climb west.",Circle NFZ to assess visibility before initiating approach from west.,Descend immediately to 5 m AGL post-spawn to minimize wind exposure.,"Approach south of NFZ at 15 m AGL, drift north during final descent.",Delay spawn until wind gusts exceed 9 m/s for stability calibration.,"Climb to 120 m AGL for better GNSS lock, then dive steeply to runway.",Perform lateral translation eastward at 40 m AGL to balance battery load.,"[""Approach from east at 30 m AGL, align with runway, touch down, climb west."", ""Circle NFZ to assess visibility before initiating approach from west."", ""Descend immediately to 5 m AGL post-spawn to minimize wind exposure."", ""Approach south of NFZ at 15 m AGL, drift north during final descent."", ""Delay spawn until wind gusts exceed 9 m/s for stability calibration."", ""Climb to 120 m AGL for better GNSS lock, then dive steeply to runway."", ""Perform lateral translation eastward at 40 m AGL to balance battery load.""]","Approaching from east at 30 m AGL ensures wind alignment, avoids NFZ, and maintains safe altitude within operational bounds. It enables stable GNSS use before descent, preserves battery, and complies with geofence and climb-out requirements. Other options violate altitude, proximity, timing, or navigation safety constraints." 2025-11-01T18:00:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Survey_with_VTOL_Tiltrotor_under_Gusts_d6897c6f0da9_mcq.json,uavbench-mcq-v1,Harbor_Survey_with_VTOL_Tiltrotor_under_Gusts,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"With 8 m/s wind at 225° and 1.5 m/s moving obstacle, which thrust vector adjustment optimizes grid path tracking at 45 m AGL?","This is a harbor survey mission using a VTOL tiltrotor UAV equipped with RGB camera and LiDAR payload. The operation takes place in a defined harbor airspace with a geofenced area and a central no-fly zone cylinder near the survey zone. Weather conditions include a steady 8 m/s wind from 225° with 4.5 m/s gusts, posing challenges for stable flight. The UAV must adhere to altitude limits between 10 and 120 meters AGL and maintain separation from static, moving, and traffic obstacles. A moving spherical obstacle drifts slowly at 1.5 m/s, requiring real-time avoidance. The mission requires runway-assisted takeoff and landing, with a predefined transition profile between VTOL and forward flight. The flight path follows a grid pattern across five waypoints, with a time budget of 600 seconds. GNSS signals may experience multipath effects near harbor structures, and strict separation thresholds (25 m, 20 s TTC) must be maintained. Battery endurance is critical, with a 30% reserve required and energy consumption influenced by wind and maneuvering. The UAV must avoid all geofence and NFZ breaches while completing the survey and returning safely to the preferred landing site.","Increase pitch to 12°, reduce rotor RPM by 15%","Bank 20° into wind, maintain 90 kt airspeed","Tilt nacelles to 60°, apply sideslip of 8°","Reduce collective pitch, increase forward cyclic",Transition to fixed-wing mode at 35 m AGL,Yaw left 10° to align with gust transient,"Use sideslip to counter drift, adjust nacelle angle to 85°","[""Increase pitch to 12°, reduce rotor RPM by 15%"", ""Bank 20° into wind, maintain 90 kt airspeed"", ""Tilt nacelles to 60°, apply sideslip of 8°"", ""Reduce collective pitch, increase forward cyclic"", ""Transition to fixed-wing mode at 35 m AGL"", ""Yaw left 10° to align with gust transient"", ""Use sideslip to counter drift, adjust nacelle angle to 85°""]","Sideslip counters lateral wind drift while 85° nacelle tilt balances vertical lift and forward thrust, minimizing induced drag. This maintains energy efficiency and hover-foward transition stability under 8 m/s crosswind. Other options either compromise lift-to-drag ratio or violate minimum safe altitude during transition." 2025-11-01T18:00:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Swarm_Coordination_with_Thermal_Updrafts_8fc3325c7fa7_mcq.json,uavbench-mcq-v1,Harbor_Swarm_Coordination_with_Thermal_Updrafts,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"At 6 m/s west wind and 3.5 m/s gusts, which adjustment maintains grid alignment and 15 m separation with minimal energy?","This is a swarm UAV survey mission in a harbor environment. The drones operate within a defined polygonal airspace between 20 and 120 meters AGL. Weather includes 6 m/s winds from the west, gusts up to 3.5 m/s, and thermal updrafts enhancing lift in localized zones. The UAVs are battery-powered quadcopters equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The swarm consists of four drones with distinct roles: leader, two followers, and a relay node. A static no-fly zone blocks a central area, while a dynamic no-fly zone moves westward, requiring real-time avoidance. Additional hazards include GNSS multipath effects, electromagnetic interference, and temporary comms loss. The mission involves covering a grid pattern within a 10-minute time limit, starting from a common spawn point. A single intruder UAV and a moving spherical obstacle challenge separation and collision avoidance. Minimum inter-drone separation is enforced at 15 meters, with DAA thresholds set for safety monitoring.",Increase pitch by 8° to counteract headwind drag,Reduce throttle 10% to lower induced drag in updrafts,Bank left 12° to sidestep intruder without yaw,Ascend 10 m to exploit thermal lift and reduce power,Match wind speed with eastward thrust vectoring,Hover 5 seconds to reset swarm relative positioning,Descend to 15 m AGL to minimize gust impact,"[""Increase pitch by 8° to counteract headwind drag"", ""Reduce throttle 10% to lower induced drag in updrafts"", ""Bank left 12° to sidestep intruder without yaw"", ""Ascend 10 m to exploit thermal lift and reduce power"", ""Match wind speed with eastward thrust vectoring"", ""Hover 5 seconds to reset swarm relative positioning"", ""Descend to 15 m AGL to minimize gust impact""]","Ascending into thermal updrafts increases convective lift, reducing induced drag and motor load. At 6 m/s ambient wind, vertical climb leverages both updrafts and dynamic pressure for efficient station-keeping. Other options either increase drag, violate minimum altitude, or disrupt formation stability." 2025-11-01T18:00:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Swarm_Coordination_in_Cold_Weather_2a53c38c1557_mcq.json,uavbench-mcq-v1,Harbor_Swarm_Coordination_in_Cold_Weather,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"At 420s, moderate icing hits; UAVs must maintain 10m separation and complete survey in 600s with 30% battery reserve.","This is a swarm-based survey mission in a harbor environment using four quadrotor UAVs equipped with RGB cameras and standard navigation sensors. The airspace is constrained between 5 and 120 meters AGL, with a static no-fly zone over a critical infrastructure cylinder and a second moving NFZ drifting through the area. The mission takes place in cold weather with icing conditions present, and a significant fault is introduced at 420 seconds simulating moderate icing on the UAVs. Wind speeds increase with altitude, ranging from 6 m/s at surface level to 8 m/s at 50 meters, coming from the west and shifting slightly with height. GNSS multipath and electromagnetic interference are present, challenging navigation accuracy near harbor structures. The UAVs must follow a grid survey pattern while maintaining at least 10 meters separation from each other and avoiding dynamic obstacles like a drifting sphere and an intruder UAV moving westward. Communication experiences brief downlink outages at 300 and 650 seconds, requiring robust autonomy. The swarm operates under discrete control actions with a leader-follower-scout role structure and must complete the survey within 600 seconds. Battery endurance is critical, with a reserve of 30% required, and the UAVs must return to predefined landing sites while avoiding geofence and altitude violations. The mission emphasizes resilience to environmental hazards, sensor degradation, and coordination under constrained and dynamic airspace.","Leader ascends to 120m for clear GNSS, others follow at 10m intervals",All UAVs reduce speed by 20% to conserve battery and stabilize in wind,Scout detaches to avoid moving NFZ while others continue grid pattern,Follower UAVs increase altitude to 50m to reduce wind impact and sync at 650s,UAVs compress formation to 5m spacing to finish faster and return early,Leader recalculates path under autonomy; followers use relative positioning during GNSS loss,All UAVs abort survey immediately and return to base at maximum speed,"[""Leader ascends to 120m for clear GNSS, others follow at 10m intervals"", ""All UAVs reduce speed by 20% to conserve battery and stabilize in wind"", ""Scout detaches to avoid moving NFZ while others continue grid pattern"", ""Follower UAVs increase altitude to 50m to reduce wind impact and sync at 650s"", ""UAVs compress formation to 5m spacing to finish faster and return early"", ""Leader recalculates path under autonomy; followers use relative positioning during GNSS loss"", ""All UAVs abort survey immediately and return to base at maximum speed""]","F maintains mission completion likelihood by leveraging decentralized autonomy during GNSS and comms degradation. It preserves 10m separation and role-based coordination without violating airspace or energy constraints. Other options break spacing, timing, or situational awareness under dynamic hazards." 2025-11-01T18:00:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Swarm_Inspection_in_Strong_Crosswind_63c779275d93_mcq.json,uavbench-mcq-v1,Harbor_Swarm_Inspection_in_Strong_Crosswind,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"Drones face 8.5 m/s crosswinds and a moving NFZ; which strategy balances energy, safety, and swarm coordination within 600 seconds?","This is a swarm drone inspection mission in a harbor-like wind farm environment. The airspace is bounded between 10 and 120 meters AGL with a static no-fly zone near the center and a moving no-fly zone drifting northeast. Strong crosswinds blow from the west at 8.5 m/s with gusts up to 4.2 m/s, increasing flight challenges. Four small multirotor drones (6 rotors each) operate as a swarm, equipped with GNSS, IMU, lidar, and RGB cameras for visual inspection. The drones carry a lightweight payload optimized for imaging with minimal drag. The mission requires navigating a corridor pattern through five waypoints within 600 seconds while avoiding obstacles and maintaining 15-meter inter-drone separation. Key constraints include a central cylindrical NFZ, a moving spherical obstacle, and a dynamic no-fly zone that shifts during flight. Traffic includes a single intruder UAV flying westbound at 12 m/s. GNSS multipath effects may occur near structures, and flight performance is affected by wind resistance and battery drain during sustained high-thrust maneuvers.",Climb to 110 m AGL to avoid gusts and extend range,Fly direct paths at max speed to minimize exposure,Descend to 15 m AGL to reduce wind impact and save power,Increase separation to 25 m to enhance collision avoidance,Adopt staggered elevation layering within 40–80 m AGL,Halt swarm until moving NFZ passes the corridor,Reduce speed to 3 m/s to optimize battery and control,"[""Climb to 110 m AGL to avoid gusts and extend range"", ""Fly direct paths at max speed to minimize exposure"", ""Descend to 15 m AGL to reduce wind impact and save power"", ""Increase separation to 25 m to enhance collision avoidance"", ""Adopt staggered elevation layering within 40–80 m AGL"", ""Halt swarm until moving NFZ passes the corridor"", ""Reduce speed to 3 m/s to optimize battery and control""]","Staggered altitudes (40–80 m) balance wind resilience, NFZ avoidance, and GNSS reliability while preserving formation and energy. This maintains 15 m separation with reduced aerodynamic stress and avoids static and dynamic obstacles. Other options violate altitude bounds, waste energy, or disrupt mission timing and coordination." 2025-11-01T18:00:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Swarms_in_Gusty_Suburban_Airspace_c9ee13f6808f_mcq.json,uavbench-mcq-v1,Harbor_Swarms_in_Gusty_Suburban_Airspace,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Which path adjustment optimally maintains 10 m separation, avoids both no-fly zones, and accounts for 8.5 m/s wind with gusts up to 4.2 m/s?","This is a UAV swarm survey mission in suburban airspace near a harbor. The environment features strong winds at 8.5 m/s from the southwest with frequent gusts up to 4.2 m/s. Five small quadcopter drones, each equipped with GNSS, IMU, lidar, and RGB cameras, operate as a coordinated swarm. The mission requires flying a grid pattern between five waypoints at altitudes between 30 and 50 meters AGL. A static no-fly zone blocks the central area, while a second cylindrical no-fly zone moves dynamically across the airspace. An additional moving obstacle travels through the domain, requiring real-time collision avoidance. Swarm members must maintain at least 10 meters separation while navigating under strict battery constraints. One other UAV flies through the airspace on a fixed path, increasing deconfliction demands. Communication experiences two brief downlink loss periods, and signal strength must stay above -85 dBm. GNSS multipath effects and wind disturbances challenge navigation accuracy and energy management throughout the mission.",Climb to 60 m AGL to bypass moving obstacle early,Delay waypoint entry by 15 seconds for wind alignment,Shift grid east by 12 m to avoid dynamic NFZ encroachment,Descend to 25 m AGL between waypoints to reduce wind load,Cut through static NFZ center to minimize flight distance,"Hold position during downlink loss, ignoring time-to-go",Execute lateral 15 m deviation with predictive wind drift compensation,"[""Climb to 60 m AGL to bypass moving obstacle early"", ""Delay waypoint entry by 15 seconds for wind alignment"", ""Shift grid east by 12 m to avoid dynamic NFZ encroachment"", ""Descend to 25 m AGL between waypoints to reduce wind load"", ""Cut through static NFZ center to minimize flight distance"", ""Hold position during downlink loss, ignoring time-to-go"", ""Execute lateral 15 m deviation with predictive wind drift compensation""]","Option G enables real-time obstacle avoidance while preserving altitude band and swarm separation. Predictive drift compensation counters wind disturbances without excessive energy use. It avoids NFZs, maintains signal integrity, and aligns with adaptive re-routing under GNSS uncertainty." 2025-11-01T18:00:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Tower_Spiral_Inspection_by_Hexacopter_769c67849c13_mcq.json,uavbench-mcq-v1,Harbor_Tower_Spiral_Inspection_by_Hexacopter,minimax/minimax-m1,9,Comparative System Reasoning,7,?,F,False,"Which system configuration optimizes endurance, obstacle avoidance, and GNSS resilience for a 600-second harbor tower inspection at 120 m with 6 m/s winds?","This mission involves a hexacopter conducting a spiral inspection of a harbor tower. The operation takes place in a defined harbor airspace with a maximum altitude of 120 meters AGL. Weather conditions include a 6 m/s wind from 135 degrees with moderate gusts up to 3 m/s, and good visibility. The UAV is equipped with an RGB camera, thermal camera, LiDAR, and standard navigation sensors. It carries a 0.7 kg payload and relies on battery power with a 450 Wh capacity. A cylindrical no-fly zone surrounds the tower base from 10 to 60 meters altitude, requiring careful trajectory planning. The UAV must maintain separation from a moving obstacle and avoid a single intruder UAV approaching from the southeast. GNSS signals may experience multipath effects near the tower structure. Battery reserve is set to 30%, limiting flight time to within 600 seconds. The mission starts and ends near the southwest corner of the operational area, with an emergency landing option available nearby.",Fixed-pitch propellers for energy efficiency and minimal mechanical failure,Dual GNSS modules with RTK and carrier-phase tracking for precision,Centralized flight controller without redundancy to reduce weight and power,Lightweight foam padding instead of LiDAR for collision protection,Single-camera setup using only RGB to extend battery life,Predictive wind compensation using IMU and adaptive spiral trajectory,Preloaded static path ignoring intruder UAV and wind gusts,"[""Fixed-pitch propellers for energy efficiency and minimal mechanical failure"", ""Dual GNSS modules with RTK and carrier-phase tracking for precision"", ""Centralized flight controller without redundancy to reduce weight and power"", ""Lightweight foam padding instead of LiDAR for collision protection"", ""Single-camera setup using only RGB to extend battery life"", ""Predictive wind compensation using IMU and adaptive spiral trajectory"", ""Preloaded static path ignoring intruder UAV and wind gusts""]","F balances energy use, real-time adaptability, and safety by leveraging sensor fusion to handle gusts and dynamic obstacles. It maintains inspection integrity within battery limits while compensating for GNSS multipath near the tower. Other options fail in adaptability, sensing redundancy, or collision avoidance under mission constraints." 2025-11-01T18:00:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_VTOL_Border_Patrol_with_Microburst_Risk_e0f3b93226e3_mcq.json,uavbench-mcq-v1,Harbor_VTOL_Border_Patrol_with_Microburst_Risk,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,"At 120m AGL in 14.5 m/s winds, UAV detects microburst developing 90 seconds from impact—what action prioritizes safety?","VTOL tiltrotor UAV conducts harbor border patrol survey mission in coastal urban airspace. Operating altitude ranges from 10 to 300 meters AGL within a defined polygon geofence. Weather includes strong winds up to 14.5 m/s with directional shear and a microburst risk. UAV equipped with RGB and thermal cameras, radar, LiDAR, and full navigation suite. Payload and aerodynamic design support extended endurance with vertical takeoff capability. No-fly zones include static and moving restricted areas near critical infrastructure. Dynamic no-fly zone drifts westward, requiring real-time path adaptation. GNSS signals degraded by multipath, jamming, and electromagnetic interference. Mission requires runway-aligned landing and encounters communication dropouts. Icing event occurs mid-mission, temporarily affecting flight performance.",Continue mission; monitor microburst intensity,Descend to 10m AGL to avoid wind shear,Eject payload to reduce weight and climb,Divert to nearest uncontrolled airspace,Initiate immediate landing at harbor site,Request override to exit geofence westward,Ascend to 300m AGL and hold position,"[""Continue mission; monitor microburst intensity"", ""Descend to 10m AGL to avoid wind shear"", ""Eject payload to reduce weight and climb"", ""Divert to nearest uncontrolled airspace"", ""Initiate immediate landing at harbor site"", ""Request override to exit geofence westward"", ""Ascend to 300m AGL and hold position""]","A developing microburst poses an extreme, time-critical hazard to flight safety. Immediate landing at the nearest safe harbor site prioritizes crew and public safety over mission continuity. Continuing or ascending risks loss of control; descending or exiting the geofence increases exposure to shear and violates operational boundaries." 2025-11-01T18:00:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_VTOL_Inspection_in_Low_Visibility_608d8862305c_mcq.json,uavbench-mcq-v1,Harbor_VTOL_Inspection_in_Low_Visibility,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,"At 80m AGL, 210°–240° shifting winds, icing fault occurs: which action balances energy, control, and separation in degraded GNSS?","This is a VTOL inspection mission in a powerline corridor near a harbor with poor visibility and icing conditions. The UAV is a tiltrotor VTOL equipped with RGB and thermal cameras, LiDAR, radar, and full navigation sensors. It operates within a defined polygonal airspace from 10 to 120 meters AGL, avoiding static and moving no-fly zones. Strong and gusty winds increase with altitude, shifting direction from 210° to 240°, creating challenging flight dynamics. GNSS signals are degraded by multipath and moderate jamming, with additional electromagnetic interference present. The mission requires runway-assisted takeoff and landing, with a transition between hover and forward flight. A dynamic obstacle moves through the corridor, and another UAV crosses the airspace, requiring separation monitoring. An icing fault event occurs mid-mission, reducing performance for one minute. Communication experiences two brief downlink loss windows, and thermal updrafts are present near structures. The UAV must complete its inspection waypoints within 10 minutes while maintaining safety and battery reserves.",Descend to 40m to reduce wind exposure and save power,Climb to 110m for smoother airflow and better GNSS reception,"Hold 80m, reduce speed by 30% to stabilize sensors and comms",Accelerate forward flight to exit icing zone within 90 seconds,"Transition to hover, await GNSS recovery and thermal clearance",Bank 25° into wind to maintain track despite radar interference,"Pitch down 10° to gain speed, compensating for thrust loss","[""Descend to 40m to reduce wind exposure and save power"", ""Climb to 110m for smoother airflow and better GNSS reception"", ""Hold 80m, reduce speed by 30% to stabilize sensors and comms"", ""Accelerate forward flight to exit icing zone within 90 seconds"", ""Transition to hover, await GNSS recovery and thermal clearance"", ""Bank 25° into wind to maintain track despite radar interference"", ""Pitch down 10° to gain speed, compensating for thrust loss""]","Descending to 40m reduces wind-induced control loads and aerodynamic power demand during icing, improving stability. Lower altitude remains within safe AGL bounds, avoids strongest gusts, and conserves battery while maintaining separation. It also mitigates GNSS multipath near structures and aligns with thermal updraft avoidance, balancing energy, navigation, and safety." 2025-11-01T18:00:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Bridge_Inspection_with_Amphibious_UAV_under_Crosswind_4ef5ddd80da3_mcq.json,uavbench-mcq-v1,Bridge_Inspection_with_Amphibious_UAV_under_Crosswind,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,F,F,True,"At 60m AGL, 8.5→13.5 m/s crosswinds from 240° challenge a bridge inspection. Which action balances energy, stability, and obstacle avoidance?","This is a bridge inspection mission using an amphibious fixed-wing UAV equipped with RGB camera and LiDAR payload. The operation takes place near a river or coastal bridge site within a defined 200m x 150m airspace zone. Strong crosswinds of 8.5 m/s from 240° increase with altitude, reaching 13.5 m/s at 60m, creating significant flight challenges. The UAV must navigate a corridor inspection pattern while avoiding a cylindrical no-fly zone around critical bridge infrastructure. It operates between 5m and 75m AGL, requiring runway-assisted takeoff and landing due to its hybrid VTOL design. A moving spherical obstacle simulates dynamic hazards like construction equipment or debris. The UAV must maintain separation from another traffic UAV entering the area and avoid GNSS multipath near the bridge structure. Battery endurance is limited, with a 30% reserve required and energy consumption affected by wind and maneuvering. Flight stability is challenged by wind shear and gusts up to 4 m/s across different altitudes. Mission success depends on completing the waypoint route within 10 minutes while respecting all airspace and safety constraints.",Climb to 75m to reduce gust impact and improve GNSS signal,Descend to 5m AGL to minimize wind exposure and save power,Maintain 60m with increased airspeed to counter crosswind drift,Reduce speed to extend endurance while accepting lateral drift,"Bank sharply to avoid moving sphere, prioritizing separation over lift","Follow corridor at 45m, adjusting heading and speed for wind alignment",Abort mission immediately due to exceeding crosswind limits,"[""Climb to 75m to reduce gust impact and improve GNSS signal"", ""Descend to 5m AGL to minimize wind exposure and save power"", ""Maintain 60m with increased airspeed to counter crosswind drift"", ""Reduce speed to extend endurance while accepting lateral drift"", ""Bank sharply to avoid moving sphere, prioritizing separation over lift"", ""Follow corridor at 45m, adjusting heading and speed for wind alignment"", ""Abort mission immediately due to exceeding crosswind limits""]","Flying at 45m balances reduced wind shear, acceptable GNSS performance, and energy efficiency. It allows precise heading and speed adjustments to counteract drift while avoiding the no-fly zone and dynamic obstacle. This altitude maintains safety margins, mission timing, and battery reserve under gust loads." 2025-11-01T18:00:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HeavyLiftGPSJamForestSandstorm_e538127d5385_mcq.json,uavbench-mcq-v1,HeavyLiftGPSJamForestSandstorm,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 120s, GNSS jamming (-80 dBm) and comms loss occur; winds are 7.5 m/s at 240° with 4.0 m/s gusts. How should the UAV prioritize control?","Heavy lift UAV conducts a delivery mission in a forested area with poor visibility due to an active sandstorm. The UAV operates within a defined corridor airspace bounded between 10 and 120 meters AGL. Strong winds of 7.5 m/s from 240 degrees with gusts up to 4.0 m/s challenge flight stability. Equipped with GNSS, IMU, lidar, and RGB camera, the UAV carries an 8 kg payload under battery power. A significant GNSS jamming event occurs at -80 dBm, with a deliberate jamming fault introduced at 120 seconds for 60 seconds. A no-fly zone cylinder is centered at (100, 75) with a 20-meter radius and vertical limits from 10 to 60 meters. A moving spherical obstacle travels through the environment at a constant velocity, requiring dynamic avoidance. The UAV must avoid a second traffic UAV entering the airspace on a diagonal path. Downlink communications are lost between 120 and 180 seconds, limiting telemetry feedback. Mission success depends on timely waypoint navigation despite GNSS degradation, obstacle avoidance, and energy management.",Increase airspeed to 15 m/s to outrun jamming effects,Descend to 15 m AGL to reduce wind exposure and drag,Hold altitude with increased angle of attack to counter downdrafts,Bank 30° into wind to maintain track using sideslip stability,Cut throttle to idle to conserve battery during navigation uncertainty,Pitch up 10° to increase lift and offset sandstorm density loss,Transition to lidar/IMU and maintain 11 m/s forward speed,"[""Increase airspeed to 15 m/s to outrun jamming effects"", ""Descend to 15 m AGL to reduce wind exposure and drag"", ""Hold altitude with increased angle of attack to counter downdrafts"", ""Bank 30° into wind to maintain track using sideslip stability"", ""Cut throttle to idle to conserve battery during navigation uncertainty"", ""Pitch up 10° to increase lift and offset sandstorm density loss"", ""Transition to lidar/IMU and maintain 11 m/s forward speed""]","GNSS and comms failure requires sensor transition to lidar/IMU for navigation. Maintaining 11 m/s balances lift generation and induced drag under gusty, low-visibility conditions. This ensures energy-efficient, stable flight within the 10–120 m corridor despite reduced aerodynamic visibility and payload-induced inertia." 2025-11-01T18:00:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_VTOL_Inspection_under_Lightning_Risk_b7fd71b77ff9_mcq.json,uavbench-mcq-v1,Harbor_VTOL_Inspection_under_Lightning_Risk,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 50 m AGL, 18.5 kg mass, and 12 m/s winds, what tiltrotor thrust vector balances lift, drag, and wind compensation?","This is a VTOL inspection mission in suburban airspace near a harbor. The UAV is a tiltrotor design with a total mass of 18.5 kg, carrying a 1.2 kg payload equipped with RGB camera and LiDAR sensors. Weather includes moderate winds increasing with altitude, gusts, and a risk of lightning, limiting visibility and increasing operational risk. The mission operates within a 10–120 m AGL altitude band and must avoid a cylindrical no-fly zone centered at (100, 75) with a 20 m radius. A moving spherical obstacle drifts at (100, 100, 50) with velocity (-2, -2, 0) m/s, requiring dynamic avoidance. The flight plan follows a corridor pattern across five waypoints, requiring runway-assisted takeoff and landing. GNSS signals are degraded due to multipath effects and electromagnetic interference, with a planned GNSS jamming fault from 400–430 seconds. An IMU bias fault is also injected from 500–520 seconds, challenging navigation reliability. Communication experiences brief downlink losses between 350–370 and 520–535 seconds. The UAV must complete the mission within 600 seconds while maintaining separation from traffic and obstacles under constrained battery endurance.","Tilt rotors to 70°, full throttle for max lift","Keep rotors at 90°, reduce airspeed to 8 m/s","Tilt rotors to 45°, maintain 15 m/s forward speed","Tilt rotors to 30°, increase angle of attack to 12°","Hold 80° tilt, climb at 3 m/s vertical velocity",Transition to 60° tilt with 10° sideslip for drift correction,"Hover with rotors at 90°, counteract wind with lateral thrust","[""Tilt rotors to 70°, full throttle for max lift"", ""Keep rotors at 90°, reduce airspeed to 8 m/s"", ""Tilt rotors to 45°, maintain 15 m/s forward speed"", ""Tilt rotors to 30°, increase angle of attack to 12°"", ""Hold 80° tilt, climb at 3 m/s vertical velocity"", ""Transition to 60° tilt with 10° sideslip for drift correction"", ""Hover with rotors at 90°, counteract wind with lateral thrust""]","At 45° tilt, the rotors generate sufficient vertical thrust for lift and horizontal thrust for forward speed, balancing wind drift and minimizing induced drag. This transition state optimizes aerodynamic efficiency while maintaining control in moderate winds. Other options either exceed structural pitch limits, induce stall, or waste battery in inefficient hover." 2025-11-01T18:00:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HeavyLiftLoiter_ColdSuburban_fc13f310b04b_mcq.json,uavbench-mcq-v1,HeavyLiftLoiter_ColdSuburban,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 300 seconds, icing reduces performance while 25m from a moving obstacle and 15s to closest approach. What should the UAV prioritize?","This is a heavy-lift UAV loiter mission in a suburban environment. The UAV operates within a defined airspace from 20 to 120 meters AGL, confined by a static geofence and two no-fly zones, one of which is dynamic and moving. Weather includes strong winds from 240 degrees at 8.5 m/s with gusts up to 4.2 m/s and icing conditions present. The UAV is battery-powered with a total payload of 8 kg and equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. It must loiter in an orbit pattern around a set of waypoints for up to 600 seconds while avoiding obstacles and maintaining separation. A second UAV and a moving spherical obstacle are present, requiring adherence to a 25-meter separation and 15-second time-to-closest-approach threshold. GNSS multipath effects may occur due to suburban structures, and icing conditions will reduce performance during a 60-second fault event at 300 seconds into the mission. The UAV spawns at 25 meters altitude and must return to its preferred landing site unless an emergency arises. Battery reserve is set to 30%, and mission success depends on avoiding collisions, NFZ breaches, and maintaining safe flight parameters throughout.",Continue loiter to complete mission on time,Descend rapidly to land at nearest open field,Abort mission and return to home at reduced speed,Climb above 120m to avoid obstacle and icing,Hover in place until time-to-approach exceeds 15s,Eject payload to regain control and reduce risk,Request override from operator and maintain course,"[""Continue loiter to complete mission on time"", ""Descend rapidly to land at nearest open field"", ""Abort mission and return to home at reduced speed"", ""Climb above 120m to avoid obstacle and icing"", ""Hover in place until time-to-approach exceeds 15s"", ""Eject payload to regain control and reduce risk"", ""Request override from operator and maintain course""]","Safety requires aborting due to combined icing fault, proximity risk, and performance loss. Continuing or climbing violates altitude and separation rules. Returning at reduced speed ensures controlled, lawful egress while preserving human safety and minimizing risk to assets and third parties." 2025-11-01T18:00:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HeavyLiftSwarmFoggyMountains_7bd92790b2ac_mcq.json,uavbench-mcq-v1,HeavyLiftSwarmFoggyMountains,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 240 s, one UAV experiences icing; wind is 15 m/s. How should the swarm adjust with 20 m separation and GNSS issues?","Heavy lift UAV swarm conducts mountain delivery mission under fog and icing conditions. Operations occur in rugged terrain with poor visibility and strong, variable winds up to 15 m/s. The eight-rotor heavy lift UAV carries an 8 kg payload with full sensor suite including LiDAR and radar. Swarm of four UAVs operates with role-based coordination and 20-meter minimum separation. A static no-fly zone blocks central airspace, while a moving no-fly cylinder and dynamic obstacle add complexity. GNSS suffers from multipath and moderate jamming, with brief comms outages during flight. Wind shear and thermal updrafts challenge stability, especially during the icing fault event at 240 seconds. Mission follows a corridor pattern with five waypoints, requiring precise navigation and energy management. UAVs must avoid terrain and obstacles between 50–450 m AGL within a defined geofenced polygon. Battery reserves and separation thresholds are critical due to harsh weather and limited emergency landing options.",All UAVs abort and return to base immediately,Icing UAV drops payload; others continue as planned,Nearest UAV closes to 10 m to stabilize formation,Swapping roles so healthy UAV assumes lead navigation,Increase speed to reduce exposure to wind shear,Broadcast position updates every 5 seconds via radar,"Maintain spacing, reroute around faulted UAV using LiDAR","[""All UAVs abort and return to base immediately"", ""Icing UAV drops payload; others continue as planned"", ""Nearest UAV closes to 10 m to stabilize formation"", ""Swapping roles so healthy UAV assumes lead navigation"", ""Increase speed to reduce exposure to wind shear"", ""Broadcast position updates every 5 seconds via radar"", ""Maintain spacing, reroute around faulted UAV using LiDAR""]","Maintaining 20 m separation ensures safety despite reduced visibility and GNSS faults. Using LiDAR for rerouting preserves situational awareness without overloading comms. This balances fault tolerance, coordination, and mission continuity." 2025-11-01T18:00:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HeavyLift_BVLOS_Powerline_Snow_8fcd38bc5e0f_mcq.json,uavbench-mcq-v1,HeavyLift_BVLOS_Powerline_Snow,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"During a 10-minute BVLOS inspection, UAV must avoid dynamic no-fly zone moving south and a drifting spherical obstacle while maintaining 25m separation from crossing UAV.","This is a BVLOS heavy-lift UAV inspection mission along a narrow powerline corridor in snowy, low-visibility conditions with icing risk. The UAV operates in a constrained airspace between 10 and 120 meters AGL, bounded by a polygonal geofence. Weather includes strong westerly winds at 8 m/s with gusts up to 12 m/s, snowfall, and potential airframe icing. The UAV is an octocopter with a 10 kg inspection payload, equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. A static no-fly zone blocks part of the corridor, while a dynamic no-fly zone moves southward, requiring real-time avoidance. Air traffic includes a crossing UAV, and a moving spherical obstacle drifts laterally across the path. The UAV must maintain 25-meter separation from other aircraft, with DAA system monitoring time-to-closest-approach. GNSS multipath is not a major concern but icing events and comms dropouts between 400–410 seconds challenge reliability. The mission requires completing four waypoints within 10 minutes and landing at a designated site, all while managing battery reserves and environmental hazards.",Ascend to 120m AGL for clear line-of-sight and thermal scanning advantage,Delay waypoint 2 until dynamic no-fly zone passes eastward,Descend below 10m AGL to evade wind gusts and reduce icing exposure,"Reroute westward, sharing real-time LiDAR data with crossing UAV via DAA",Halt at waypoint 3 to conserve battery during comms dropout window,Accelerate to complete all waypoints before spherical obstacle drifts into corridor,"Maintain 60m AGL and 8 m/s ground speed, adjusting laterally using swarm-aware collision prediction","[""Ascend to 120m AGL for clear line-of-sight and thermal scanning advantage"", ""Delay waypoint 2 until dynamic no-fly zone passes eastward"", ""Descend below 10m AGL to evade wind gusts and reduce icing exposure"", ""Reroute westward, sharing real-time LiDAR data with crossing UAV via DAA"", ""Halt at waypoint 3 to conserve battery during comms dropout window"", ""Accelerate to complete all waypoints before spherical obstacle drifts into corridor"", ""Maintain 60m AGL and 8 m/s ground speed, adjusting laterally using swarm-aware collision prediction""]","Maintaining optimal altitude and speed ensures compliance with geofence and wind resistance while enabling continuous coordination via DAA. It uses predictive lateral adjustment to synchronize safe passage with the moving obstacle and crossing UAV. Other options violate altitude bounds, timing, or situational awareness, degrading multi-agent safety or mission completion." 2025-11-01T18:00:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HeavyLift_CorridorFollow_MountainCrosswind_522af7f63d08_mcq.json,uavbench-mcq-v1,HeavyLift_CorridorFollow_MountainCrosswind,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 280 m AGL, 150 s into mission, crosswind gusts to 18 m/s; static NFZ ahead. Maintain 25 m separation, 30% battery reserve, and avoid GNSS multipath.","This is a heavy-lift UAV inspection mission in mountainous terrain. The flight follows a predefined corridor-shaped waypoint path at altitudes between 50 and 300 meters AGL. Strong crosswinds from the west (12 m/s, gusting to 18 m/s) challenge stability and navigation. The UAV is an octocopter with a 5 kg payload, equipped with GNSS, IMU, lidar, and RGB camera for navigation and data collection. A static no-fly zone and a moving no-fly cylinder create dynamic airspace restrictions. Another UAV and a moving spherical obstacle travel through the airspace, requiring separation assurance. The UAV must maintain at least 25 meters separation and avoid loss of separation within 5 seconds of collision time. GNSS multipath effects may occur near terrain features, impacting positioning accuracy. Battery endurance is limited, with 30% reserved for contingency. The mission must be completed within 600 seconds while avoiding geofence and altitude violations.",Climb to 300 m AGL and continue on path,"Descend to 50 m AGL, proceed direct through NFZ",Hold position until crosswind drops below 12 m/s,"Divert east, maintain 100 m AGL, avoid NFZ",Accelerate to clear NFZ before gust peak,"Descend to 60 m AGL, fly around NFZ west side","Turn back to launch, descend immediately","[""Climb to 300 m AGL and continue on path"", ""Descend to 50 m AGL, proceed direct through NFZ"", ""Hold position until crosswind drops below 12 m/s"", ""Divert east, maintain 100 m AGL, avoid NFZ"", ""Accelerate to clear NFZ before gust peak"", ""Descend to 60 m AGL, fly around NFZ west side"", ""Turn back to launch, descend immediately""]","Diverting east at 100 m AGL avoids the static NFZ and reduces exposure to GNSS multipath near terrain while maintaining safe AGL margins. It preserves battery by avoiding hover or reversal, and ensures 25 m separation from dynamic obstacles. Other options violate NFZ, increase multipath risk, or waste contingency endurance." 2025-11-01T18:00:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HeavyLift_GPS_Spoof_Jam_Volcanic_Rain_5be3573fc909_mcq.json,uavbench-mcq-v1,HeavyLift_GPS_Spoof_Jam_Volcanic_Rain,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 200 m AGL, winds are 15 m/s, thermal updraft is 3.5 m/s, and UAV carries 10 kg. What adjustment maintains lift with tailwind?","This is a heavy-lift UAV delivery mission in a hazardous volcanic zone with poor visibility due to rain and volcanic ash. The UAV operates within a defined polygonal airspace bounded between 10 and 250 meters AGL. Strong winds increase with altitude, reaching 15 m/s at 200 meters, and a thermal updraft of 3.5 m/s is present near the center of the area. The UAV is equipped with a full sensor suite including GNSS, IMU, lidar, RGB and thermal cameras, carrying a 10 kg payload. GNSS performance is degraded by jamming at -75 dBm and electromagnetic interference, with planned spoofing and jamming faults during flight. A static no-fly zone blocks the central area, and a dynamic no-fly zone moves through the airspace, requiring real-time avoidance. The UAV must complete a corridor-style waypoint route while avoiding a moving spherical obstacle and an intruder UAV. Communication is unreliable, with uplink and downlink failures occurring during critical mission phases. The mission is constrained by tight timing, battery reserve requirements, and the need to maintain separation and geofence compliance despite environmental and system challenges.",Increase airspeed to 22 m/s to offset tailwind,Reduce angle of attack to decrease induced drag,Descend to 150 m for denser air and less wind,Pitch up 6° to increase lift coefficient,Maintain current airspeed and accept altitude loss,Turn into wind to maximize propeller efficiency,Retract landing gear to reduce parasitic drag,"[""Increase airspeed to 22 m/s to offset tailwind"", ""Reduce angle of attack to decrease induced drag"", ""Descend to 150 m for denser air and less wind"", ""Pitch up 6° to increase lift coefficient"", ""Maintain current airspeed and accept altitude loss"", ""Turn into wind to maximize propeller efficiency"", ""Retract landing gear to reduce parasitic drag""]","Descending to 150 m reduces wind exposure and increases air density, improving lift generation and control authority. The tailwind reduces effective airspeed, requiring higher thrust to maintain lift; flying lower mitigates density altitude effects. This balances power use, stability, and geofence compliance while avoiding stall risk." 2025-11-01T18:00:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HeavyLift_GPS_Spoof_Jam_WindFarm_Dust_ab20c6aec1ea_mcq.json,uavbench-mcq-v1,HeavyLift_GPS_Spoof_Jam_WindFarm_Dust,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 300s, GNSS jamming (-75 dBm) and downlink failure occur amid 8.5 m/s winds. What action ensures resilient navigation and control?","Heavy-lift UAV conducts wind turbine inspection in a coastal wind farm with poor visibility due to dust. Mission takes place in a restricted polygon airspace with a static no-fly cylinder around a central turbine and a moving no-fly zone. Wind conditions are strong at 8.5 m/s from 240° with gusts up to 4 m/s, challenging stability and energy use. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and carries a 5 kg payload for visual inspection. Severe GNSS spoofing occurs at 200 seconds and jamming at 300 seconds, compounded by EM interference and -75 dBm jamming signal. Downlink communication fails intermittently, especially during critical fault periods. A second UAV enters the airspace from the south, requiring separation maintenance of at least 25 meters. The UAV must avoid dynamic obstacles, including a drifting spherical hazard moving northwest. Flight is confined between 10 m and 120 m AGL with strict altitude compliance required. Mission success depends on navigation resilience, battery management, and avoiding geofence or separation breaches within 10-minute limit.",Switch to lidar-IMU dead reckoning with encrypted C2 link,Increase GNSS update frequency to counter jamming,Descend to 10 m AGL to reduce wind exposure,Transmit unencrypted telemetry to boost signal range,Rely solely on RGB vision for position hold,Disable intrusion detection to reduce processing load,Hand over control to unauthenticated backup operator,"[""Switch to lidar-IMU dead reckoning with encrypted C2 link"", ""Increase GNSS update frequency to counter jamming"", ""Descend to 10 m AGL to reduce wind exposure"", ""Transmit unencrypted telemetry to boost signal range"", ""Rely solely on RGB vision for position hold"", ""Disable intrusion detection to reduce processing load"", ""Hand over control to unauthenticated backup operator""]",Switching to lidar-aided IMU dead reckoning maintains navigation integrity when GNSS is compromised. Encrypted C2 preserves command authenticity and resists spoofing during communication recovery. This layered approach ensures control stability and cyber-physical resilience under jamming and wind disturbances. 2025-11-01T18:00:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HeavyLift_ShipDeck_Delivery_Hot_4296cc664445_mcq.json,uavbench-mcq-v1,HeavyLift_ShipDeck_Delivery_Hot,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"An octocopter carries 10 kg in 12 m/s winds and hail, with GNSS jamming and a moving obstacle; what action balances safety, energy, and timing?","This is a heavy-lift UAV delivery mission operating within an airport perimeter. The UAV takes off from near a runway threshold and follows a corridor-style waypoint path to deliver a 10 kg payload. It flies in challenging weather with strong winds up to 12 m/s and active hail, increasing flight risk. The UAV is an octocopter equipped with GNSS, IMU, lidar, and RGB camera, but lacks thermal imaging and radar. GNSS multipath effects are present, and a simulated GNSS jamming fault occurs mid-mission. A cylindrical no-fly zone blocks the direct route, and a moving spherical obstacle drifts through the airspace. The mission requires maintaining separation from intruder traffic and avoiding geofence violations within tight altitude bounds. Communication experiences two brief downlink loss windows, though links mostly remain stable. The UAV must complete the delivery within 10 minutes while managing battery reserves and adverse conditions.",Climb to 150 m to avoid obstacles and improve GNSS signal,Descend to 30 m to reduce wind exposure and save battery,Maintain current altitude and speed using lidar for obstacle avoidance,Proceed at full speed along corridor using RGB camera tracking,Divert laterally around no-fly zone at reduced speed using IMU-GNSS fusion,Hover until hail subsides to preserve payload and sensor integrity,Accelerate through jamming zone to minimize communication loss impact,"[""Climb to 150 m to avoid obstacles and improve GNSS signal"", ""Descend to 30 m to reduce wind exposure and save battery"", ""Maintain current altitude and speed using lidar for obstacle avoidance"", ""Proceed at full speed along corridor using RGB camera tracking"", ""Divert laterally around no-fly zone at reduced speed using IMU-GNSS fusion"", ""Hover until hail subsides to preserve payload and sensor integrity"", ""Accelerate through jamming zone to minimize communication loss impact""]","Diverting laterally avoids the no-fly zone and moving obstacle while using IMU-GNSS fusion maintains navigation integrity during jamming. Reduced speed saves energy under 12 m/s winds and hails, preserving battery and control stability within tight altitude bounds. This balances aerodynamic load, sensor constraints, energy use, and mission timing without violating geofences or separation." 2025-11-01T18:00:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HeavyLift_LostLink_RTL_Forest_Crosswind_a7a9071f264b_mcq.json,uavbench-mcq-v1,HeavyLift_LostLink_RTL_Forest_Crosswind,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,Which system ensures reliable navigation at 30 m AGL with 8.5 m/s crosswind and GNSS multipath in forests?,"This scenario involves a heavy-lift UAV conducting a delivery mission in a forested airspace. The UAV, equipped with GNSS, IMU, lidar, and RGB camera, must navigate through a constrained corridor while carrying a 5 kg payload. Weather conditions include a strong crosswind from 240° at 8.5 m/s with gusts up to 4.2 m/s. A cylindrical no-fly zone blocks part of the flight path between waypoints, requiring careful path planning. The UAV spawns at 30 m AGL and must complete the mission within 600 seconds. A planned lost-link fault occurs at 210 seconds, lasting 3 minutes, during which uplink and downlink communications are fully lost. During this period, the UAV must rely on onboard sensors and execute a return-to-launch (RTL) or safe hold behavior. GNSS multipath effects may occur due to the forest canopy, challenging navigation accuracy. The flight must maintain separation of at least 25 meters from obstacles, with a time-to-collision threshold of 15 seconds. Battery reserves are set high at 35%, limiting available energy for maneuvering and endurance.",Monocular vision-only navigation,GNSS-only with no sensor fusion,Lidar-IMU tightly coupled EKF,Barometer-based altitude hold,Open-loop waypoint following,GPS-aided optical flow tracking,Compass-only heading stabilization,"[""Monocular vision-only navigation"", ""GNSS-only with no sensor fusion"", ""Lidar-IMU tightly coupled EKF"", ""Barometer-based altitude hold"", ""Open-loop waypoint following"", ""GPS-aided optical flow tracking"", ""Compass-only heading stabilization""]","Lidar-IMU fusion via EKF provides robust state estimation despite GNSS multipath and wind disturbances. It enables obstacle avoidance and maintains 25 m separation in constrained corridors. Other options lack redundancy or fail under environmental stress, reducing safety and accuracy." 2025-11-01T18:00:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HeavyLift_WarehouseDelivery_UrbanCanyon_LightningRisk_7b56e0a983c3_mcq.json,uavbench-mcq-v1,HeavyLift_WarehouseDelivery_UrbanCanyon_LightningRisk,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"At 240 seconds, winds 7.5 m/s from 240° with gusts; lightning risk. How to proceed before GNSS jamming at 250s?","This is a heavy-lift UAV delivery mission in an urban canyon environment. The aircraft operates within a confined airspace corridor between 5 and 60 meters AGL, bounded by a polygonal geofence. Strong winds of 7.5 m/s from 240 degrees with gusts up to 4.0 m/s are present, and there is a risk of lightning. The UAV is an octocopter with a 10 kg payload, equipped with GNSS, IMU, lidar, and RGB camera for navigation and sensing. A no-fly zone cylinder is located at the center of the airspace, restricting flight paths. The mission must be completed within 600 seconds, following a corridor pattern through three waypoints. Another UAV and a moving spherical obstacle create dynamic traffic challenges. GNSS jamming occurs at 250 seconds, lasting 30 seconds, coinciding with a comms loss window. A partial motor failure happens at 400 seconds, reducing thrust capability temporarily. Minimum separation is set at 10 meters with a time-to-closest approach threshold of 5 seconds for collision avoidance.",Climb to 60 m AGL for wind clearance,Descend to 10 m AGL to reduce gust impact,"Hold at 30 m AGL, maintain heading",Divert around no-fly zone westward,"Accelerate to waypoint ahead, stay at 40 m",Descend to 5 m AGL to avoid lightning,Turn back to launch point immediately,"[""Climb to 60 m AGL for wind clearance"", ""Descend to 10 m AGL to reduce gust impact"", ""Hold at 30 m AGL, maintain heading"", ""Divert around no-fly zone westward"", ""Accelerate to waypoint ahead, stay at 40 m"", ""Descend to 5 m AGL to avoid lightning"", ""Turn back to launch point immediately""]","Descending to 10 m AGL reduces exposure to stronger winds and gusts while staying above minimum altitude. It avoids lightning risk better than higher altitudes and preserves energy for GNSS/comms loss. Other options violate altitude bounds, increase multipath, or worsen collision risk." 2025-11-01T18:00:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HeavyLift_WarehouseSurvey_Hail_8cee9c158bc3_mcq.json,uavbench-mcq-v1,HeavyLift_WarehouseSurvey_Hail,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During GNSS jamming at 120s, with hail reducing visibility and a drifting obstacle, how should the UAV navigate?","This is a heavy-lift UAV indoor warehouse survey mission. The UAV operates within a confined 50x30 meter warehouse space with a maximum altitude of 12 meters AGL. Weather includes light wind from the south and poor visibility due to hail, despite being indoors. The UAV is a battery-powered octocopter equipped with GNSS, IMU, lidar, and RGB camera for navigation and data collection. A cylindrical no-fly zone is centered in the warehouse, restricting flight around a critical area. The mission involves following a corridor-style waypoint path to inspect key locations within a 10-minute time limit. A moving spherical obstacle drifts westward, requiring real-time avoidance. GNSS signal jamming occurs between 120 and 150 seconds, degrading positioning accuracy. Communication experiences a 30-second downlink loss coinciding with the jamming event. The UAV must maintain safe separation from obstacles and avoid geofence violations while completing the survey.",Rely solely on GNSS and IMU dead reckoning,Switch to lidar-only mapping for obstacle avoidance,Use IMU and visual odometry with lidar fusion,Hover using IMU until GNSS signal returns,Descend immediately to avoid collision risk,Follow waypoints using RGB camera only,Abort mission due to communication loss,"[""Rely solely on GNSS and IMU dead reckoning"", ""Switch to lidar-only mapping for obstacle avoidance"", ""Use IMU and visual odometry with lidar fusion"", ""Hover using IMU until GNSS signal returns"", ""Descend immediately to avoid collision risk"", ""Follow waypoints using RGB camera only"", ""Abort mission due to communication loss""]","GNSS jamming and poor visibility degrade positioning and perception. Fusing IMU, visual odometry, and lidar maintains navigation integrity by leveraging redundant relative sensing. This approach adapts to environmental degradation while tracking motion and avoiding dynamic obstacles." 2025-11-01T18:00:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HeavyLoadDelivery_VTOL_Suburban_Gusts_f1f9d0505d0d_mcq.json,uavbench-mcq-v1,HeavyLoadDelivery_VTOL_Suburban_Gusts,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,B,False,"How should the UAV adjust altitude and speed at 120 m with 14 m/s west winds, gusts, and 30% battery reserve?","This is a heavy-load delivery mission using a VTOL tiltrotor UAV in a suburban airspace. The UAV carries an 8 kg payload and operates within an altitude range of 10 to 150 meters AGL. Strong winds of 8 m/s from the west increase with altitude, reaching 14 m/s at 120 m, with gusts up to 4.5 m/s and shifting wind direction. The UAV is equipped with GNSS, IMU, lidar, camera, and other sensors but faces GNSS multipath effects, moderate jamming at -75 dBm, and electromagnetic interference. A static no-fly zone and a moving no-fly cylinder create dynamic airspace constraints. The mission includes a required runway takeoff and landing, with transition times between VTOL and fixed-wing flight. The UAV must follow a corridor pattern through four waypoints while avoiding traffic and a moving spherical obstacle. Separation from other aircraft must be maintained above 25 meters, with a time-to-closest approach threshold of 30 seconds. The flight is further challenged by thermal updrafts near the center of the environment and limited battery endurance with a 30% reserve requirement.",Climb to 150 m for smoother airflow and reduced gust impact,Descend to 80 m to minimize wind exposure and save energy,Maintain 120 m and increase speed to reduce time in turbulence,Transition to hover and wait for wind gusts to subside,Bank sharply east to counteract lateral drift and hold course,Reduce speed by 15% to improve stability and sensor accuracy,Descend to 10 m and fly at max thrust to avoid wind shear,"[""Climb to 150 m for smoother airflow and reduced gust impact"", ""Descend to 80 m to minimize wind exposure and save energy"", ""Maintain 120 m and increase speed to reduce time in turbulence"", ""Transition to hover and wait for wind gusts to subside"", ""Bank sharply east to counteract lateral drift and hold course"", ""Reduce speed by 15% to improve stability and sensor accuracy"", ""Descend to 10 m and fly at max thrust to avoid wind shear""]","Descending to 80 m reduces wind-induced drag and power demand, conserving battery under reserve constraints. It avoids gusts and maintains GNSS reliability at lower altitude, balancing energy, navigation, and control. Higher altitudes increase drift and power use, while lower than 10 m or hovering risks obstacle clearance and efficiency." 2025-11-01T18:00:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HeavyLoadDelivery_Suburban_Crosswind_8eba1981172b_mcq.json,uavbench-mcq-v1,HeavyLoadDelivery_Suburban_Crosswind,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"At 100 m AGL, wind is 13.5 m/s from 260°; hexacopter carries 5 kg. What ensures lift sufficiency and stability in crosswind?","Heavy payload delivery mission in suburban airspace with strong crosswinds. Mission takes place in a defined rectangular geofenced area with static and moving obstacles. Wind increases with altitude, reaching 13.5 m/s from 260 degrees at 100 meters AGL. UAV is a battery-powered hexacopter carrying a 5 kg payload with moderate aerodynamic drag. Equipped with GNSS, IMU, lidar, RGB camera, and barometer for navigation and perception. Flight altitude is restricted between 10 and 120 meters AGL with a no-fly zone near the center. A dynamic no-fly zone moves through the area, requiring real-time avoidance. Another UAV and a moving spherical obstacle create traffic separation challenges. Radio signal loss occurs briefly at two intervals, affecting communication reliability. DAA system enforces 25-meter separation and 15-second time-to-closest-approach threshold.",Increase forward airspeed to 18 m/s maintaining 3° angle of attack,Bank 25° into wind while reducing throttle by 15%,Maintain 12 m/s airspeed with 8° angle of attack and sideslip,Descend to 15 m AGL where wind is weaker and density altitude lower,Pitch up to 10° with full lateral cyclic to counteract drift,Hover at reduced power to minimize drag exposure,Turn downwind and accelerate to match wind speed,"[""Increase forward airspeed to 18 m/s maintaining 3° angle of attack"", ""Bank 25° into wind while reducing throttle by 15%"", ""Maintain 12 m/s airspeed with 8° angle of attack and sideslip"", ""Descend to 15 m AGL where wind is weaker and density altitude lower"", ""Pitch up to 10° with full lateral cyclic to counteract drift"", ""Hover at reduced power to minimize drag exposure"", ""Turn downwind and accelerate to match wind speed""]","Descending to 15 m AGL reduces wind-induced aerodynamic forces and improves control authority due to lower wind speeds and higher air density. This increases lift-to-drag ratio and reduces power demand, ensuring better stability under 5 kg payload. Other options either overbank, risk stall, or increase drift-induced lift imbalance." 2025-11-01T18:00:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_BVLOS_Mission_in_Snowy_Jungle_Ridge_8f1d3d6cd8f2_mcq.json,uavbench-mcq-v1,Heavy_Lift_BVLOS_Mission_in_Snowy_Jungle_Ridge,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,A,False,"During GNSS jamming, with 35% battery reserve and 15 m/s winds, how should the octocopter maintain corridor alignment and obstacle avoidance?","Heavy lift UAV conducts a BVLOS delivery mission in a dense jungle ridge environment. The airspace features a defined geofence with static and moving no-fly zones, including a dynamic cylinder obstacle. Weather conditions include moderate to heavy snowfall, poor visibility, and icing risks, with strong winds increasing with altitude. A heavy-lift octocopter with 8.0 kg payload carries thermal and RGB cameras, LiDAR, and full navigation sensors. GNSS signals suffer from multipath interference and a planned jamming event, challenging navigation reliability. The mission involves a corridor pattern with five waypoints, requiring precise path planning around obstacles and thermal updrafts. Wind speeds reach 15 m/s at higher altitudes, with gusts and directional shear affecting stability. Separation from other air traffic must be maintained above 25 meters, with a 30-second time-to-closest approach threshold. Battery endurance is critical, with a 35% reserve requirement and potential performance loss due to icing and wind. Key faults include a 60-second icing event and a 45-second GNSS jamming incident, testing resilience and fault tolerance.",Descend to reduce wind exposure and use LiDAR for terrain-relative navigation,Climb above 15 m/s wind layer for smoother air and extended visibility,Halt propulsion and autorotate down using thermal updrafts to save power,Rely solely on dead reckoning for 45 seconds to conserve communication bandwidth,Broadcast position via mesh every 5 seconds to synchronize with nearby agents,Execute a spiral ascent to regain GNSS signal faster using maximum thrust,Divert laterally 100 m outside corridor to pre-mapped clear zone with stable GNSS,"[""Descend to reduce wind exposure and use LiDAR for terrain-relative navigation"", ""Climb above 15 m/s wind layer for smoother air and extended visibility"", ""Halt propulsion and autorotate down using thermal updrafts to save power"", ""Rely solely on dead reckoning for 45 seconds to conserve communication bandwidth"", ""Broadcast position via mesh every 5 seconds to synchronize with nearby agents"", ""Execute a spiral ascent to regain GNSS signal faster using maximum thrust"", ""Divert laterally 100 m outside corridor to pre-mapped clear zone with stable GNSS""]","A maintains situational awareness using onboard LiDAR despite GNSS loss, leverages terrain-relative navigation, and reduces wind impact—critical for stability and obstacle avoidance. Other options either increase risk (B, F), break communication or timing (D, E), or abandon the mission corridor (G), while C is aerodynamically unfeasible for an octocopter." 2025-11-01T18:00:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_BVLOS_Sandstorm_Mission_76f78309aa31_mcq.json,uavbench-mcq-v1,Heavy_Lift_BVLOS_Sandstorm_Mission,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"UAV must deliver 10 kg payload through 3 waypoints, avoid 70 m obstacle, and maintain 25 m separation in 12 m/s winds with 30% battery reserve.","This is a heavy-lift UAV delivery mission operating beyond visual line of sight near an airport perimeter. The UAV flies in a designated airspace bounded by a polygon geofence with a cylindrical no-fly zone at its center. A sandstorm is present, causing poor visibility and strong winds from the southwest at 12 m/s with gusts up to 6 m/s. The UAV is an 8-rotor heavy-lift platform carrying a 10 kg payload equipped with GNSS, radar, LiDAR, RGB and thermal cameras. It must maintain altitudes between 30 and 120 meters AGL while navigating through a corridor of three waypoints. A moving spherical obstacle travels horizontally at 70 meters altitude, and another UAV crosses the airspace from south to north. The UAV must maintain a minimum separation of 25 meters from traffic with a time-to-collision threshold of 15 seconds. GNSS multipath effects may occur due to proximity to airport infrastructure and adverse weather. Battery endurance is critical, with a 30% reserve required and a strict 600-second mission time limit. The primary landing site is at the spawn point, with an emergency site available at the northeast corner of the zone.",Increase speed to reduce exposure to wind gusts,Descend below 30 m to avoid moving obstacle at 70 m,Climb above 120 m for smoother air and clearer GNSS,Divert east to increase separation from oncoming UAV,Maintain current heading and adjust altitude to 65 m,Return to spawn point due to sandstorm visibility limits,Proceed to emergency landing site to conserve battery,"[""Increase speed to reduce exposure to wind gusts"", ""Descend below 30 m to avoid moving obstacle at 70 m"", ""Climb above 120 m for smoother air and clearer GNSS"", ""Divert east to increase separation from oncoming UAV"", ""Maintain current heading and adjust altitude to 65 m"", ""Return to spawn point due to sandstorm visibility limits"", ""Proceed to emergency landing site to conserve battery""]","Diverting east increases lateral separation from the crossing UAV, satisfying the 25 m minimum and 15-second time-to-collision threshold under wind drift uncertainty. It preserves mission progress without violating altitude or geofence constraints. Other options either breach operational limits or abandon task efficiency unnecessarily." 2025-11-01T18:00:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Bridge_Survey_in_Fog_71dab17461dc_mcq.json,uavbench-mcq-v1,Heavy_Lift_Bridge_Survey_in_Fog,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"At 155s, fog reduces visibility; UAV is at (70,95) at 45m AGL, heading to waypoint 3. What action maintains safety and mission integrity?","This is a heavy lift UAV conducting a bridge survey mission in poor visibility due to fog. The operation takes place at a defined bridge site with restricted airspace between 20 and 120 meters AGL. Weather includes 6 m/s winds from 240 degrees with gusts up to 3.5 m/s, impacting stability and visibility. The UAV is an octocopter with a battery-powered heavy-lift configuration carrying a 5 kg payload equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. A cylindrical no-fly zone is centered at (75, 100) with a 20-meter radius and vertical limits from 20 to 80 meters, which must be avoided. The mission follows a corridor survey pattern with five waypoints and a 600-second time budget, starting and ending near designated sites. There is one other UAV in the airspace approaching from the north, requiring separation monitoring. GNSS multipath may occur near the bridge structure, and brief communication loss is expected between 150–160 and 400–415 seconds. The UAV must maintain at least 25 meters separation from traffic with a 10-second time-to-closest approach threshold. Battery reserve is set to 30%, and performance will be evaluated on mission success, safety breaches, and ending energy levels.",Climb to 110m AGL to clear fog and NFZ,Descend to 15m AGL and continue survey,Hold at current position for 20 seconds,"Divert to backup runway at (50,60)",Proceed to waypoint 3 at 45m AGL,"Descend to 25m AGL, then detour east around NFZ",Accelerate to pass NFZ before 160s comms loss,"[""Climb to 110m AGL to clear fog and NFZ"", ""Descend to 15m AGL and continue survey"", ""Hold at current position for 20 seconds"", ""Divert to backup runway at (50,60)"", ""Proceed to waypoint 3 at 45m AGL"", ""Descend to 25m AGL, then detour east around NFZ"", ""Accelerate to pass NFZ before 160s comms loss""]","Descending to 25m AGL exits the NFZ's vertical restriction (20–80m) while maintaining safe AGL clearance. Detouring east avoids both the NFZ and potential traffic conflict during comms loss. Other options violate NFZ, altitude limits, or increase multipath/communication risk near the bridge." 2025-11-01T18:00:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Convoy_Escort_in_Sandstorm_00320241a204_mcq.json,uavbench-mcq-v1,Heavy_Lift_Convoy_Escort_in_Sandstorm,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 250 s, GNSS fails (70% severity, 45 s) with comms loss; 8.5 m/s winds from 240°—how should the leader respond?","Heavy lift UAV conducts convoy escort mission in a forested area under poor visibility due to an active sandstorm. Mission takes place within a defined polygonal airspace with a minimum altitude of 10 meters AGL and maximum of 120 meters AGL. Weather includes strong 8.5 m/s winds from 240 degrees with gusts up to 4.2 m/s, exacerbating sandstorm conditions. The UAV is an octocopter with a total mass of 28.5 kg, carrying an 8 kg payload, powered by a 12,000 Wh battery. Equipped with GNSS, IMU, radar, lidar, RGB and thermal cameras to navigate and monitor the environment. A static no-fly zone (cylinder, 25 m radius, up to 60 m altitude) and a moving NFZ (20 m radius, drifting at -2 m/s in both x and y) must be avoided. A dynamic moving obstacle (8 m sphere) drifts through the mission corridor at -1.5 m/s diagonally. GNSS jamming fault occurs at 250 seconds, lasting 45 seconds with 70% severity, coinciding with a comms downlink loss window. The mission involves a 3-UAV swarm with leader, follower, and relay roles, requiring minimum 15 m inter-UAV separation. Separation assurance is enforced with a 25 m threshold and 15 s time-to-closest-approach limit, with traffic and DAA monitoring.",Descend to 10 m AGL to reduce wind exposure and conserve battery,Climb to 120 m AGL for clearer radar returns and stable airflow,"Hold position at 60 m using IMU and lidar, reduce speed to 3 m/s",Accelerate to 8 m/s to exit jamming zone before battery depletes,Circle at 50 m with 30° bank to maintain separation and sensor lock,Drop payload to reduce mass and improve gust tolerance,Switch to thermal-only navigation to preserve compute power,"[""Descend to 10 m AGL to reduce wind exposure and conserve battery"", ""Climb to 120 m AGL for clearer radar returns and stable airflow"", ""Hold position at 60 m using IMU and lidar, reduce speed to 3 m/s"", ""Accelerate to 8 m/s to exit jamming zone before battery depletes"", ""Circle at 50 m with 30° bank to maintain separation and sensor lock"", ""Drop payload to reduce mass and improve gust tolerance"", ""Switch to thermal-only navigation to preserve compute power""]","Holding at 60 m balances minimum safe altitude (10 m) and NFZ clearance (60 m max static NFZ), while reducing speed maintains energy efficiency and separation assurance under reduced sensing. IMU and lidar provide sufficient navigation redundancy during GNSS/comms loss, ensuring swarm coordination and obstacle avoidance without excessive power or risk." 2025-11-01T18:00:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Convoy_Escort_in_Snowy_Wind_Farm_552ee80ea22a_mcq.json,uavbench-mcq-v1,Heavy_Lift_Convoy_Escort_in_Snowy_Wind_Farm,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,D,False,"Given 14.5 m/s winds, icing, and GNSS issues, how should UAVs optimize power and navigation during convoy escort?","Heavy lift UAV conducts convoy escort mission within a wind farm airspace. Flight occurs in snowy conditions with poor visibility and icing risks. UAV is equipped with lidar, radar, RGB and thermal cameras for navigation and monitoring. Strong winds up to 14.5 m/s increase with altitude and shift direction, complicating flight control. GNSS signals suffer from multipath and moderate jamming, challenging positioning accuracy. Mission requires navigating around static and moving no-fly zones, including turbine areas. A dynamic no-fly zone drifts through the airspace, requiring real-time path adjustments. Swarm operation involves three UAVs maintaining minimum 15-meter separation. Icing event reduces performance for one minute midway through the mission. Communication experiences brief dropouts, and battery reserves must account for high energy demands.",Increase altitude for smoother airflow and better GNSS reception,Fly direct routes using full RGB camera streams continuously,Descend to minimize wind exposure and rely solely on thermal imaging,"Use lidar and radar fusion with intermittent GNSS, adaptive altitude control",Maintain maximum altitude to avoid turbine zones entirely,Disable all sensors except GPS to conserve power,Synchronize swarm GPS updates every 5 seconds to reduce drift,"[""Increase altitude for smoother airflow and better GNSS reception"", ""Fly direct routes using full RGB camera streams continuously"", ""Descend to minimize wind exposure and rely solely on thermal imaging"", ""Use lidar and radar fusion with intermittent GNSS, adaptive altitude control"", ""Maintain maximum altitude to avoid turbine zones entirely"", ""Disable all sensors except GPS to conserve power"", ""Synchronize swarm GPS updates every 5 seconds to reduce drift""]","Lidar-radar fusion reduces reliance on degraded GNSS while adaptive altitude minimizes wind-induced power spikes. This balances sensor power use and flight efficiency, preserving battery under high wind and icing conditions. Other options either increase energy demand or sacrifice situational awareness critical for dynamic no-fly zones." 2025-11-01T18:00:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Convoy_Escort_in_Warehouse_with_Thermal_Updrafts_070fe2862320_mcq.json,uavbench-mcq-v1,Heavy_Lift_Convoy_Escort_in_Warehouse_with_Thermal_Updrafts,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"How should the UAV adapt navigation near the thermal plume at (40,30) with GNSS multipath and 5 kg payload effects?","Heavy lift UAV performs indoor convoy escort mission inside a warehouse. Flight occurs at 1–12 meters AGL within a defined polygonal airspace. Thermal updrafts create localized vertical air currents, notably near the center. UAV is an octocopter with RGB and thermal camera payload for monitoring. 5 kg payload increases drag and power consumption during flight. A no-fly zone cylinder blocks access around a strong thermal plume at (40,30). Swarm operation with three UAVs requires 5-meter minimum separation. Another UAV and a moving spherical obstacle challenge deconfliction. Communication experiences two brief signal loss windows during the mission. GNSS signals are available but may suffer multipath effects indoors.",Rely solely on GNSS due to consistent signal indoors,Disable thermal camera to reduce payload weight,"Use IMU-visual fusion, limit ascent near plume center",Ascend rapidly to avoid moving spherical obstacle,Maintain 3 m separation to save formation space,Trust LiDAR only; ignore RGB for obstacle avoidance,Hover using GNSS hold during signal loss windows,"[""Rely solely on GNSS due to consistent signal indoors"", ""Disable thermal camera to reduce payload weight"", ""Use IMU-visual fusion, limit ascent near plume center"", ""Ascend rapidly to avoid moving spherical obstacle"", ""Maintain 3 m separation to save formation space"", ""Trust LiDAR only; ignore RGB for obstacle avoidance"", ""Hover using GNSS hold during signal loss windows""]","GNSS suffers multipath indoors and vertical drift near thermal updrafts, reducing reliability. Visual-inertial fusion provides robust localization when GNSS degrades. Limiting ascent near the plume center mitigates turbulence from thermal updrafts, ensuring stable flight with heavy payload." 2025-11-01T18:00:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Corridor_Follow_in_Forest_with_Hail_34fbf44155b5_mcq.json,uavbench-mcq-v1,Heavy_Lift_Corridor_Follow_in_Forest_with_Hail,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,Heavy lift UAV carries 8 kg in 7.2 m/s winds with GNSS jamming and two 30s comms downlinks. Which action ensures mission integrity?,"Heavy lift UAV conducts a forest corridor inspection mission carrying an 8 kg payload. Flight occurs within a defined rectangular airspace bounded by geofences and multiple no-fly zones. A static no-fly cylinder blocks the central area, while a second dynamic no-fly zone moves through the airspace. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV on a crossing path. Weather includes strong winds up to 7.2 m/s with gusts, poor visibility, and active hail conditions. A wind gradient exists with increasing speed and shifting direction at higher altitudes. GNSS signals suffer from multipath interference and moderate jamming, complicating navigation. An icing event occurs mid-mission, degrading performance for one minute. Communication experiences two downlink loss windows, limiting telemetry transmission. The mission must be completed within 600 seconds while adhering to strict altitude, separation, and battery reserve constraints.",Switch to encrypted AHRS with LIDAR-aided positioning during GNSS loss,Increase update rate of unsecured telemetry to ground station,Rely solely on GNSS with no sensor fusion during jamming events,Disable geofence checks to reduce autopilot processing latency,Accept all trajectory commands without cryptographic authentication,Use open Wi-Fi link for backup control during comms loss,Override motor PID gains to compensate for icing without feedback,"[""Switch to encrypted AHRS with LIDAR-aided positioning during GNSS loss"", ""Increase update rate of unsecured telemetry to ground station"", ""Rely solely on GNSS with no sensor fusion during jamming events"", ""Disable geofence checks to reduce autopilot processing latency"", ""Accept all trajectory commands without cryptographic authentication"", ""Use open Wi-Fi link for backup control during comms loss"", ""Override motor PID gains to compensate for icing without feedback""]","A ensures control stability via sensor fusion and secure attitude reference during GNSS denial. It maintains data integrity and availability through encrypted, resilient navigation. Other options expose communication, navigation, or control to spoofing, denial, or instability under cyber-physical stress." 2025-11-01T18:00:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Corridor_Follow_in_Sandstorm_29ab6c3e203d_mcq.json,uavbench-mcq-v1,Heavy_Lift_Corridor_Follow_in_Sandstorm,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"UAV faces 30s GNSS jamming, 9 m/s winds, and must maintain 25m separation in a 600s corridor mission with 5 kg payload.","Heavy lift UAV conducts a corridor inspection mission in a forested area during a sandstorm with poor visibility. The UAV operates within a narrow rectangular airspace bounded by static and dynamic no-fly zones, including a moving cylinder obstacle. Strong 9 m/s winds from 240 degrees with gusts up to 4.5 m/s challenge flight stability. Equipped with GNSS, IMU, lidar, and RGB camera, the UAV carries a 5 kg payload under battery power with significant energy demands. A concurrent UAV flies through the airspace at 12 m/s, requiring separation maintenance of at least 25 meters. The mission imposes a 600-second time budget and includes an intentional GNSS jamming fault lasting 30 seconds. Communication experiences two brief downlink loss windows, potentially affecting telemetry and control. Flight path follows a linear corridor of five waypoints from start to preferred landing site, avoiding obstacles. Dynamic no-fly zone and moving obstacle motion require continuous trajectory adjustments. Mission success depends on timely arrival, collision avoidance, and battery reserve management despite environmental and system challenges.",Climb to 120 m AGL for better wind clearance,Descend to 40 m AGL and slow to 8 m/s,Maintain current altitude and speed through jamming,Divert to alternate landing site after waypoint 3,Accelerate to 15 m/s to exit jamming zone early,Hover for 30s until GNSS signal recovers,Pitch forward abruptly to penetrate sandstorm faster,"[""Climb to 120 m AGL for better wind clearance"", ""Descend to 40 m AGL and slow to 8 m/s"", ""Maintain current altitude and speed through jamming"", ""Divert to alternate landing site after waypoint 3"", ""Accelerate to 15 m/s to exit jamming zone early"", ""Hover for 30s until GNSS signal recovers"", ""Pitch forward abruptly to penetrate sandstorm faster""]","Descending to 40 m AGL reduces wind exposure and improves lidar/RBG obstacle tracking in poor visibility. It preserves energy, maintains terrain separation, and avoids NFZs better than climbing or hovering. Other options violate time, energy, or separation constraints under jamming and wind." 2025-11-01T18:00:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Delivery_in_Industrial_Plant_with_Strong_Crosswind_502db2110db5_mcq.json,uavbench-mcq-v1,Heavy_Lift_Delivery_in_Industrial_Plant_with_Strong_Crosswind,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"An octocopter (60 kg, 12 m/s crosswind) must deliver a 15 kg payload in 600 s. What thrust and airspeed balance minimizes drift and energy use?","This is a heavy lift delivery mission within an enclosed industrial plant. The UAV operates in a confined polygonal airspace with a maximum altitude of 60 meters AGL. Strong crosswinds of 12 m/s from the west, with gusts up to 4.5 m/s, challenge stability and energy use. The UAV is an octocopter with a total mass of 60 kg, including a 15 kg payload, powered by a 12,000 Wh battery. It carries GNSS, IMU, lidar, and RGB camera for navigation and obstacle awareness. A cylindrical no-fly zone is centered in the plant, restricting flight below 30 meters within a 20-meter radius. The mission must avoid a moving spherical obstacle drifting eastward at 2 m/s near the center. A second UAV travels northbound through the area, requiring separation of at least 15 meters or 10 seconds time to closest approach. The flight must complete within 600 seconds while maintaining battery reserves and avoiding geofence or DAA breaches. The delivery follows a corridor pattern with a designated preferred landing site and an emergency backup.",Fly at 8 m/s with 30° bank to counteract wind drift,Reduce airspeed to 4 m/s to lower induced drag,Increase airspeed to 14 m/s to reduce wind relative exposure time,Maintain 10 m/s with 15° yaw into wind for alignment,Hover at 12 m/s groundspeed using full lateral thrust,Descend to 25 m altitude to exploit ground effect,Climb to 55 m and reduce throttle to save battery,"[""Fly at 8 m/s with 30° bank to counteract wind drift"", ""Reduce airspeed to 4 m/s to lower induced drag"", ""Increase airspeed to 14 m/s to reduce wind relative exposure time"", ""Maintain 10 m/s with 15° yaw into wind for alignment"", ""Hover at 12 m/s groundspeed using full lateral thrust"", ""Descend to 25 m altitude to exploit ground effect"", ""Climb to 55 m and reduce throttle to save battery""]","Maintaining 10 m/s with a 15° yaw angle aligns thrust vector into the wind, balancing lateral stability and minimizing sideslip-induced drag. This reduces energy expenditure while ensuring sufficient airspeed for control authority and obstacle avoidance. Other options either increase drag, violate no-fly zone constraints, or destabilize flight." 2025-11-01T18:00:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Delivery_in_Underground_Mine_under_Cold_Conditions_6cd548585588_mcq.json,uavbench-mcq-v1,Heavy_Lift_Delivery_in_Underground_Mine_under_Cold_Conditions,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Plan route for 15 kg payload at 3 m/s crosswind, avoid static/dynamic NFZs, maintain 0.5–25 m AGL, and account for 40% icing fault at 200 s.","Heavy lift UAV conducts delivery mission inside an underground mine with cold, poor-visibility conditions and icing risks. The UAV operates within a confined rectangular airspace bounded between 0.5 m and 25 m AGL. Weather includes 3 m/s crosswinds from the west, gusts up to 2.0 m/s, and persistent icing conditions affecting performance. The UAV is an octocopter with battery power, carrying a 15 kg payload, relying on IMU, barometer, lidar, and camera RGB for navigation. GNSS is unavailable due to underground operation, with simulated multipath and jamming at -70 dBm, requiring alternative localization. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves slowly through the environment. Another UAV and a moving spherical obstacle create collision risks, requiring DAA compliance with 10 m separation and 5 s TTC thresholds. Uplink communication is lost intermittently, though downlink remains functional for telemetry monitoring. An icing fault occurs at 200 seconds, degrading performance for one minute with 40% severity. Mission must be completed within 600 seconds, navigating a corridor pattern while avoiding obstacles and adhering to strict altitude and geofence constraints.","Climb to 25 m AGL, fly direct through static NFZ to save time",Descend below 0.5 m AGL to evade dynamic NFZ and spherical obstacle,"Follow planned corridor, adjust heading to counter 3 m/s west crosswind",Hover for 30 s at waypoint 2 to wait out the dynamic NFZ movement,"Reroute east around static NFZ, increasing distance but maintaining 15 m AGL",Accelerate through dynamic NFZ center to minimize exposure time,Rely on GNSS for precision fix despite -70 dBm jamming conditions,"[""Climb to 25 m AGL, fly direct through static NFZ to save time"", ""Descend below 0.5 m AGL to evade dynamic NFZ and spherical obstacle"", ""Follow planned corridor, adjust heading to counter 3 m/s west crosswind"", ""Hover for 30 s at waypoint 2 to wait out the dynamic NFZ movement"", ""Reroute east around static NFZ, increasing distance but maintaining 15 m AGL"", ""Accelerate through dynamic NFZ center to minimize exposure time"", ""Rely on GNSS for precision fix despite -70 dBm jamming conditions""]","Option C maintains safe altitude and avoids both NFZs by actively compensating for wind drift using IMU and lidar. It ensures continuous progress within the corridor pattern without unnecessary delays or geofence violations. Other options breach AGL limits, penetrate NFZs, or depend on unreliable GNSS, violating safety or navigation constraints." 2025-11-01T18:00:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Delivery_in_Mountainous_Hot_Environment_f895000da458_mcq.json,uavbench-mcq-v1,Heavy_Lift_Delivery_in_Mountainous_Hot_Environment,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 400 m AGL, 8.5 m/s wind from 240°, and 12 kg payload, what minimizes power while maintaining 30 s separation from moving obstacle?","This is a heavy lift delivery mission in mountainous terrain with a large octocopter UAV carrying a 12 kg payload. The UAV operates in a defined airspace with a minimum altitude of 50 m AGL and a maximum of 800 m AGL. Winds are moderate at 8.5 m/s from 240 degrees, with gusts up to 4 m/s, and visibility is good. The UAV is battery-powered with a 12,000 Wh capacity and includes GNSS, IMU, lidar, and RGB camera sensors. A cylindrical no-fly zone is centered at (400, 500) with a 60 m radius and extends up to 600 m altitude. The mission requires navigating a corridor pattern through four waypoints under a 600-second time budget. There is one other UAV in the airspace moving at 12 m/s on a fixed heading, requiring separation maintenance. A moving spherical obstacle drifts slowly at 400 m altitude with a 25 m radius. Communication includes two brief loss windows at 120–130 s and 450–465 s, but uplink and downlink are otherwise functional. The UAV must avoid GNSS multipath risks near terrain and maintain separation of at least 50 m with a time-to-closest-approach threshold of 30 seconds.","Increase airspeed to 18 m/s, reduce angle of attack","Descend to 350 m AGL, maintain 15 m/s, climb later","Climb to 550 m AGL, reduce throttle, glide briefly","Fly directly at 240° into wind, max thrust","Hover 30 s, then accelerate to 20 m/s downwind","Bank 45° toward obstacle, reduce speed to 10 m/s","Match obstacle drift speed, fly parallel at 50 m lateral","[""Increase airspeed to 18 m/s, reduce angle of attack"", ""Descend to 350 m AGL, maintain 15 m/s, climb later"", ""Climb to 550 m AGL, reduce throttle, glide briefly"", ""Fly directly at 240° into wind, max thrust"", ""Hover 30 s, then accelerate to 20 m/s downwind"", ""Bank 45° toward obstacle, reduce speed to 10 m/s"", ""Match obstacle drift speed, fly parallel at 50 m lateral""]","Matching the obstacle's drift speed minimizes relative velocity, reducing closure rate and satisfying the 30 s time-to-closest-approach threshold. Flying parallel at 50 m lateral maintains separation with minimal lateral thrust and induced drag. This conserves battery while ensuring predictable relative motion in moderate wind, optimizing aerodynamic efficiency and safety." 2025-11-01T18:00:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Delivery_in_Urban_Canyon_with_Fog_5fbbcec0babb_mcq.json,uavbench-mcq-v1,Heavy_Lift_Delivery_in_Urban_Canyon_with_Fog,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"At 110 m AGL in fog, 6 m/s west wind, UAV must reach waypoint in 8 min with 15 kg payload and avoid cylindrical NFZ.","This is a heavy-lift UAV delivery mission in an urban canyon environment with significant fog reducing visibility. The UAV operates within a defined airspace corridor between 10 and 120 meters AGL, navigating around static and moving no-fly zones. Weather includes moderate crosswinds of 6 m/s from the west, increasing with altitude, and gusts up to 3.5 m/s, compounded by poor visibility due to fog. The UAV is an octocopter with a 15 kg payload, powered by an 8,000 Wh battery, equipped with GNSS, IMU, lidar, and RGB camera for navigation. Key constraints include GNSS multipath errors, electromagnetic interference, and temporary communication loss windows. A cylindrical no-fly zone is fixed near the center, while another dynamic one moves slowly through the area. The UAV must maintain separation from both these zones and an intruder traffic UAV flying perpendicular to its path. The mission requires precise navigation through a corridor of waypoints within a 10-minute time limit, ending at a preferred landing site. Lidar and sensor fusion are critical due to degraded GNSS performance and urban terrain challenges.",Climb to 130 m AGL to reduce GNSS multipath,Descend to 90 m AGL and maintain course,Divert east around NFZ at 120 m AGL,Hover at 110 m AGL for visibility recovery,Descend to 80 m AGL to avoid wind gusts,Accelerate through NFZ at 115 m AGL,Turn back to launch site immediately,"[""Climb to 130 m AGL to reduce GNSS multipath"", ""Descend to 90 m AGL and maintain course"", ""Divert east around NFZ at 120 m AGL"", ""Hover at 110 m AGL for visibility recovery"", ""Descend to 80 m AGL to avoid wind gusts"", ""Accelerate through NFZ at 115 m AGL"", ""Turn back to launch site immediately""]","B maintains flight within the 10–120 m AGL corridor, avoids NFZ separation loss, and conserves energy for time-critical completion. Other options violate altitude, increase risk in fog, or waste time. Descending slightly improves wind resilience and lidar performance without triggering multipath or separation issues." 2025-11-01T18:00:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Delivery_on_Ship_Deck_in_Jungle_Fog_e6920d6c09b0_mcq.json,uavbench-mcq-v1,Heavy_Lift_Delivery_on_Ship_Deck_in_Jungle_Fog,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV system best handles 12 kg payload, fog, wind shear, and 10-minute endurance under GNSS degradation?","This mission involves a heavy lift UAV conducting a delivery in dense jungle airspace near a ship deck under poor visibility due to fog. The UAV operates within a defined polygonal geofence, avoiding both static and moving no-fly zones, including a dynamic obstacle drifting through the corridor. Weather conditions include moderate wind at ground level increasing with altitude, wind shear, and thermal updrafts near the center of the area. The UAV is equipped with GNSS, IMU, lidar, and camera RGB sensors but faces GNSS multipath errors, electromagnetic interference, and mild signal jamming. It must maintain separation from another UAV on a crossing path and avoid a moving spherical obstacle along the route. The flight is constrained by low minimum altitude and limited battery endurance, requiring efficient path planning to meet the 10-minute time budget. Communication experiences two brief uplink/downlink loss windows, demanding robust autonomy. The UAV carries a 12 kg payload and relies on battery power with a 30% reserve requirement. Primary challenges include sensor degradation in fog, wind disturbances, and maintaining situational awareness in a cluttered, dynamic environment. Success depends on precise navigation, collision avoidance, and adherence to operational limits.",Fixed-wing with high-speed efficiency but limited hover capability,Quadcopter with high redundancy but 25% shorter flight time,Tilt-rotor with dynamic control and lidar-assisted navigation,Hydrogen-powered UAV with long range but high electromagnetic signature,Solar-copter with extended endurance but insufficient payload capacity,Coaxial rotorcraft with compact design but poor wind resistance,Single-rotor gas UAV with high power but no jamming resilience,"[""Fixed-wing with high-speed efficiency but limited hover capability"", ""Quadcopter with high redundancy but 25% shorter flight time"", ""Tilt-rotor with dynamic control and lidar-assisted navigation"", ""Hydrogen-powered UAV with long range but high electromagnetic signature"", ""Solar-copter with extended endurance but insufficient payload capacity"", ""Coaxial rotorcraft with compact design but poor wind resistance"", ""Single-rotor gas UAV with high power but no jamming resilience""]","The tilt-rotor balances hover precision, forward efficiency, and adaptive control in wind shear. Its lidar-assisted navigation compensates for GNSS degradation in fog. Other options fail in endurance, payload, or environmental adaptability under sensor and power constraints." 2025-11-01T18:00:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Jungle_Mapping_with_Microburst_Risk_4cfc2430c7dc_mcq.json,uavbench-mcq-v1,Heavy_Lift_Jungle_Mapping_with_Microburst_Risk,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"Strong 14 m/s winds from WSW, GNSS multipath, and a drifting no-fly zone challenge navigation during a 10-minute jungle grid mapping mission at 10–120 m AGL.","This is a heavy lift UAV mapping mission in a jungle environment. The aircraft operates within a defined polygonal airspace with a minimum altitude of 10 meters and a maximum of 120 meters AGL. Winds are strong, increasing with altitude up to 14 m/s from the west-southwest, with gusts and a risk of microbursts. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, carrying a 5 kg payload. Notable constraints include GNSS signal multipath, electromagnetic interference, and a static no-fly zone near the center of the area. A moving no-fly zone drifts slowly through the airspace, requiring dynamic avoidance. Another UAV and a moving spherical obstacle create additional collision risks. The mission requires strict separation of at least 25 meters from other traffic, with a lost data link expected briefly during flight. The UAV must complete a grid mapping pattern within 10 minutes, returning to near its start point. Battery endurance and signal quality are critical concerns due to high power demands and environmental interference.",Rely solely on GNSS for position hold at 120 m altitude,Use LiDAR-only mapping above canopy to avoid signal loss,Descend to 10 m to reduce wind impact and IMU drift,"Fuse IMU, visual odometry, and LiDAR in RTK-denied zones",Lock heading using magnetic sensors near electromagnetic zones,Follow grid pattern using GPS despite multipath errors,Hover out of wind until microburst risk dissipates,"[""Rely solely on GNSS for position hold at 120 m altitude"", ""Use LiDAR-only mapping above canopy to avoid signal loss"", ""Descend to 10 m to reduce wind impact and IMU drift"", ""Fuse IMU, visual odometry, and LiDAR in RTK-denied zones"", ""Lock heading using magnetic sensors near electromagnetic zones"", ""Follow grid pattern using GPS despite multipath errors"", ""Hover out of wind until microburst risk dissipates""]","GNSS multipath and electromagnetic interference degrade position accuracy, requiring sensor fusion. IMU-visual-LiDAR integration maintains precision in GNSS-denied areas while compensating for wind-induced drift. This approach sustains mapping integrity and obstacle avoidance within time and altitude constraints." 2025-11-01T18:00:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HeavyLiftDeliveryRainyRural_c4d537c582b7_mcq.json,uavbench-mcq-v1,HeavyLiftDeliveryRainyRural,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"Given 120 m AGL max, 600 s limit, and a moving no-fly cylinder, what should the UAV do upon detecting the drifting spherical obstacle at 45 m AGL?","This is a heavy-lift UAV delivery mission in a rural area with a predefined corridor route. The UAV operates within an altitude range of 10 to 120 meters AGL inside a geofenced rectangular zone. Weather conditions include strong winds from 240 degrees at 8.5 m/s with gusts up to 4.2 m/s, poor visibility, and ongoing rain. The UAV is an octocopter with a total mass of 28.5 kg, carrying an 8 kg payload, powered by a large battery with a reserve margin of 30%. It is equipped with a full sensor suite including GNSS, IMU, lidar, and RGB camera for navigation and obstacle awareness. A dynamic no-fly zone exists as a moving cylinder near the center of the airspace, requiring real-time avoidance. The mission must be completed within 600 seconds and includes separation requirements of at least 25 meters from other traffic, monitored via DAA logic. Another UAV is present, moving through the airspace on a fixed path, and a small spherical obstacle drifts slowly through the environment. GNSS multipath effects may occur due to terrain and weather, and the UAV must manage energy carefully to reach the delivery points and return safely.",Climb to 110 m AGL and proceed on current heading,Descend to 15 m AGL to pass below the obstacle,"Hover for 30 seconds, then resume course at 60 m AGL","Divert left, maintain 80 m AGL, rejoin route ahead",Accelerate to bypass obstacle before no-fly zone arrival,Descend to 10 m AGL and proceed slowly to save energy,Return to base immediately due to poor visibility,"[""Climb to 110 m AGL and proceed on current heading"", ""Descend to 15 m AGL to pass below the obstacle"", ""Hover for 30 seconds, then resume course at 60 m AGL"", ""Divert left, maintain 80 m AGL, rejoin route ahead"", ""Accelerate to bypass obstacle before no-fly zone arrival"", ""Descend to 10 m AGL and proceed slowly to save energy"", ""Return to base immediately due to poor visibility""]","Diverting left at 80 m AGL maintains safe separation from the obstacle and avoids the dynamic no-fly zone. It preserves energy, stays within the 10–120 m AGL band, and avoids multipath-prone low altitudes. Other options violate minimum altitude, increase risk, or waste time and energy." 2025-11-01T18:00:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Ship_Deck_Delivery_in_Hot_Corridor_340aa647246e_mcq.json,uavbench-mcq-v1,Heavy_Lift_Ship_Deck_Delivery_in_Hot_Corridor,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,Octocopter carries 10kg through 200m×300m corridor with 8 m/s winds and two signal loss windows. Maximize efficiency under power and wind constraints.,"Heavy lift UAV conducts delivery mission within a powerline corridor. Operating area spans 200m by 300m with AGL altitude limits between 10m and 120m. Mission involves transporting a 10kg payload through a narrow corridor under strong winds. Wind blows from 210 degrees at 8 m/s with gusts up to 4 m/s, challenging stability. UAV is an octocopter with lidar, RGB camera, and full suite of navigation sensors. A static no-fly zone blocks a cylinder near the center of the corridor. A dynamic no-fly zone moves diagonally, requiring real-time avoidance. Another moving obstacle drifts through the airspace at constant velocity. A second UAV flies cross-path traffic, enforcing strict separation requirements. Communication experiences two brief signal loss windows during the flight.",Fly direct path at 10m AGL to minimize distance,Climb to 120m AGL for faster GPS lock during signal loss,Reduce lidar scan rate to save power in gusts,Hover 30s to reestablish comms during signal loss,Increase rotor RPM to counteract crosswind drift,Fly zigzag to avoid dynamic zones with full payload,Jettison 2kg payload to improve wind resistance,"[""Fly direct path at 10m AGL to minimize distance"", ""Climb to 120m AGL for faster GPS lock during signal loss"", ""Reduce lidar scan rate to save power in gusts"", ""Hover 30s to reestablish comms during signal loss"", ""Increase rotor RPM to counteract crosswind drift"", ""Fly zigzag to avoid dynamic zones with full payload"", ""Jettison 2kg payload to improve wind resistance""]","Reducing lidar scan rate cuts power draw without sacrificing obstacle detection, conserving energy for wind compensation. Other options increase energy use or risk mission failure. This balances sensor needs and endurance under gust loads and communication gaps." 2025-11-01T18:00:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Ship_Deck_Delivery_in_Volcanic_Hot_Zone_0151af6bd2c6_mcq.json,uavbench-mcq-v1,Heavy_Lift_Ship_Deck_Delivery_in_Volcanic_Hot_Zone,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"With 14 m/s winds, 15 kg payload, and partial motor failure, what minimizes drift while maintaining lift in degraded GNSS conditions?","This is a heavy-lift UAV delivery mission operating in a hazardous volcanic zone. The flight occurs within a confined rectangular airspace bounded by static and moving no-fly zones. Weather includes strong winds up to 14 m/s, wind shear with altitude, and a risk of lightning. The UAV is an 8-rotor heavy-lift platform carrying a 15 kg payload with RGB and thermal cameras, LiDAR, and full navigation sensors. GNSS signals are degraded due to multipath, interference, and a planned jamming fault, challenging navigation reliability. A dynamic no-fly zone and a moving spherical obstacle require real-time avoidance. The mission must be completed within 600 seconds, following a corridor route from spawn to a preferred landing site on a ship deck. Electromagnetic interference and a simulated partial motor failure add operational risk. Safe separation from intruder traffic must be maintained throughout. The UAV must manage battery reserves carefully under high wind and thermal updraft conditions.",Increase collective pitch to boost vertical thrust,Reduce airspeed to decrease induced drag,Bank sharply to evade moving obstacle quickly,Descend to lower altitude with higher air density,Pitch forward to increase angle of attack beyond 15°,Hover in place until wind shear stabilizes,Yaw rapidly to align with crosswind vector,"[""Increase collective pitch to boost vertical thrust"", ""Reduce airspeed to decrease induced drag"", ""Bank sharply to evade moving obstacle quickly"", ""Descend to lower altitude with higher air density"", ""Pitch forward to increase angle of attack beyond 15°"", ""Hover in place until wind shear stabilizes"", ""Yaw rapidly to align with crosswind vector""]","Descending increases air density, improving rotor lift generation and blade efficiency under partial motor failure. Higher density altitude at low elevation compensates for reduced thrust, counteracts wind-induced drift, and enhances control authority without exceeding stall limits. Other options either increase instability or demand unsustainable power." 2025-11-01T18:00:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Ship_Deck_Delivery_in_Volcanic_Zone_with_Gusts_b7b98bee11e8_mcq.json,uavbench-mcq-v1,Heavy_Lift_Ship_Deck_Delivery_in_Volcanic_Zone_with_Gusts,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,"Which UAV system best handles 15 kg payload, 15 m/s winds, and 30-second GNSS jamming in volcanic airspace?","This is a heavy-lift UAV delivery mission in a hazardous volcanic zone with poor visibility and active ash clouds. The UAV operates within a defined polygonal airspace bounded between 10 and 120 meters AGL, featuring static and moving no-fly zones. Strong winds up to 15 m/s increase with altitude and shift direction, compounded by gusts and thermal updrafts of up to 3 m/s near volcanic plumes. The octocopter UAV carries a 15 kg payload and relies on battery power, with sensors including GNSS, IMU, lidar, and RGB camera. GNSS performance is degraded due to multipath, electromagnetic interference, and a planned 30-second jamming event at -85 dBm. A dynamic no-fly zone moves diagonally across the airspace, requiring real-time avoidance, while a sphere-shaped moving obstacle also traverses the route. The UAV must follow a corridor-style waypoint path to deliver cargo to a ship deck at (250, 200), with emergency landing options available. Separation from other air traffic is monitored with a 25-meter threshold and 20-second time-to-collision limit. Mission success depends on timely delivery within 600 seconds while avoiding collisions, geofence breaches, and maintaining sufficient battery reserves.",Quadcopter with RTK-GNSS and vision-only navigation,Hexacopter with mechanical obstacle avoidance,Octocopter with lidar-inertial dead reckoning,"Fixed-wing with 2-hour endurance, no hover",Octocopter relying solely on GNSS and IMU,Tilt-rotor with thermal updraft energy harvesting,Octocopter with lidar-SLAM and jamming-resistant IMU,"[""Quadcopter with RTK-GNSS and vision-only navigation"", ""Hexacopter with mechanical obstacle avoidance"", ""Octocopter with lidar-inertial dead reckoning"", ""Fixed-wing with 2-hour endurance, no hover"", ""Octocopter relying solely on GNSS and IMU"", ""Tilt-rotor with thermal updraft energy harvesting"", ""Octocopter with lidar-SLAM and jamming-resistant IMU""]","The octocopter ensures fault tolerance and hover capability for 15 kg payload. Lidar-SLAM enables navigation during GNSS jamming and poor visibility. Jamming-resistant IMU maintains stability under electromagnetic interference and thermal gusts, ensuring geofence and collision compliance." 2025-11-01T18:00:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_UAV_Icing_Crosswind_Training_at_Industrial_Plant_157750742b86_mcq.json,uavbench-mcq-v1,Heavy_Lift_UAV_Icing_Crosswind_Training_at_Industrial_Plant,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Given 17 m/s crosswinds, icing, and 20kg payload, which strategy maximizes inspection coverage within 120m AGL and 200m x 150m zone under power and separation limits?","Heavy lift UAV conducts inspection training at an industrial plant under challenging weather and interference. Mission type is infrastructure inspection with a corridor flight pattern through a confined airspace zone. Flight occurs within a 200m x 150m polygon boundary, with altitude limited between 5m and 120m AGL. Strong crosswinds up to 17 m/s from the northwest increase with altitude, creating wind shear. Icing conditions are present, with a simulated icing event reducing performance mid-mission. The UAV carries a 20kg payload equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. GNSS signals suffer from multipath effects and moderate jamming, with occasional comms loss windows. A static no-fly zone protects a central plant structure, while a moving no-fly cylinder and dynamic obstacle simulate active hazards. Separation monitoring requires maintaining at least 25m distance from obstacles with 15s time-to-close threshold. External traffic includes another UAV flying perpendicular to the mission path, requiring mid-air coordination.",Fly maximum altitude to minimize obstacle conflicts,Reduce LiDAR resolution to save power and extend endurance,Increase speed to reduce wind exposure time,Circle no-fly zone at 20m to ensure safety margin,Transmit all data in real-time via high-bandwidth link,Hover and wait when comms are lost,Descend to 10m and fly downwind to conserve battery,"[""Fly maximum altitude to minimize obstacle conflicts"", ""Reduce LiDAR resolution to save power and extend endurance"", ""Increase speed to reduce wind exposure time"", ""Circle no-fly zone at 20m to ensure safety margin"", ""Transmit all data in real-time via high-bandwidth link"", ""Hover and wait when comms are lost"", ""Descend to 10m and fly downwind to conserve battery""]","Reducing LiDAR resolution lowers power consumption, preserving battery for wind resistance and de-icing. It maintains mission progress while adapting to energy constraints. Other options increase energy use, risk separation, or waste time, reducing overall mission efficiency." 2025-11-01T18:00:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_Offshore_76e34873ea38_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_Offshore,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"At 110 m AGL, 12 kg payload, 12 m/s winds: UAV hits icing fault and loses 15s comms—what immediate action minimizes risk?","This scenario involves a heavy load delivery mission offshore near an oil platform. The UAV operates in controlled offshore airspace with strict altitude limits between 10 and 120 meters AGL. Weather conditions include strong winds at 12 m/s from the west, increasing with altitude, and present icing risks. The UAV is a large octocopter quadrotor carrying a 12 kg payload, equipped with lidar, RGB camera, and full sensor suite for navigation. It must avoid static and moving no-fly zones, including a drifting dynamic exclusion zone. GNSS signals suffer from multipath and moderate jamming, compounded by electromagnetic interference. The mission follows a corridor pattern through five waypoints with a 10-minute time budget, requiring precise path planning. A second UAV and a moving spherical obstacle introduce traffic and collision risks. An icing event fault occurs mid-mission, degrading performance for 90 seconds. Communication experiences a brief 15-second uplink/downlink loss, testing resilience.",Descend to 15 m AGL to reduce wind and icing effects,Continue to next waypoint; fault is temporary,Abort mission and return to launch site immediately,Climb to 130 m AGL for smoother air and better GNSS,Hover in place until comms and control stabilize,Jettison 12 kg payload to improve maneuverability,Divert to nearest oil platform for emergency landing,"[""Descend to 15 m AGL to reduce wind and icing effects"", ""Continue to next waypoint; fault is temporary"", ""Abort mission and return to launch site immediately"", ""Climb to 130 m AGL for smoother air and better GNSS"", ""Hover in place until comms and control stabilize"", ""Jettison 12 kg payload to improve maneuverability"", ""Divert to nearest oil platform for emergency landing""]","Descending to 15 m AGL stays within legal altitude limits, reduces exposure to stronger winds and icing at higher altitudes, and maintains control during comms loss. Continuing (B), climbing (D), or hovering (E) increase risk of loss of control or regulatory violation. Jettisoning payload (F) wastes critical assets and risks downstream hazards. Diverting to platform (G) breaches restricted airspace. A balances safety, legality, and mission continuity." 2025-11-01T18:00:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Facade_Inspection_in_Volcanic_Zone_with_Lightning_Risk_efb239d1a723_mcq.json,uavbench-mcq-v1,Facade_Inspection_in_Volcanic_Zone_with_Lightning_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,C,C,True,"At 200s, GNSS fails for 30s while a dynamic NFZ moves; how should the octocopter adjust its inspection timing and coordination with the second UAV?","This is an inspection mission using an octocopter UAV equipped with RGB and thermal cameras, as well as LiDAR, in a volcanic zone with poor visibility and lightning risk. The flight occurs within a defined polygonal airspace bounded between 10 and 120 meters AGL. Weather conditions include strong winds at 8.5 m/s from 240 degrees with gusts up to 4.2 m/s, increasing flight complexity. A static no-fly zone (NFZ) is present as a cylinder near the center of the area, and a dynamic NFZ moves slowly through the airspace, requiring real-time avoidance. The UAV must follow a corridor inspection pattern along four waypoints while maintaining separation from both static and moving obstacles, including another UAV and a vertically oscillating spherical obstacle. GNSS multipath and signal jamming are concerns, with a planned 30-second GNSS jamming fault at 200 seconds into the mission. A motor failure event is also simulated, reducing performance temporarily. Communication includes a brief uplink/downlink loss window, requiring resilient control and data handling. The mission must be completed within 600 seconds while managing battery reserve limits and ensuring safe return despite environmental and technical challenges.",Ascend to 120m for better signal and resume waypoint tracking,Halt propulsion until GNSS signal returns to avoid drift,Switch to LiDAR-INS fused navigation and maintain offset from second UAV,Abort mission immediately and return to base via shortest path,Follow the dynamic NFZ to predict its path using thermal imaging,Descend to 10m to reduce wind impact and wait for comms restore,Mirror the second UAV's path to share real-time obstacle data,"[""Ascend to 120m for better signal and resume waypoint tracking"", ""Halt propulsion until GNSS signal returns to avoid drift"", ""Switch to LiDAR-INS fused navigation and maintain offset from second UAV"", ""Abort mission immediately and return to base via shortest path"", ""Follow the dynamic NFZ to predict its path using thermal imaging"", ""Descend to 10m to reduce wind impact and wait for comms restore"", ""Mirror the second UAV's path to share real-time obstacle data""]","LiDAR-INS fusion ensures navigation resilience during GNSS denial, preserving situational awareness. Maintaining offset from the second UAV prevents collision and preserves inspection coverage under wind and communication delays. This balances safety, coordination, and mission continuity despite sensor faults and dynamic obstacles." 2025-11-01T18:00:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_Swarm_Mission_b3136bb7c16d_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_Swarm_Mission,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 8 m/s west wind and 3 kg payload, what ensures formation stability with 10 m separation and gust rejection?","This is a heavy load delivery swarm mission in a suburban airspace with a 4-drone formation. The UAVs are multirotor-heavy lift drones equipped with RGB cameras, LiDAR, and GNSS/IMU navigation systems. Each drone carries a 3 kg payload, operating under moderate wind conditions of 8 m/s from the west with gusts up to 4.5 m/s. The flight area is bounded by a polygon geofence with a minimum altitude of 10 m and maximum of 120 m AGL. A static no-fly zone blocks a cylinder near the center of the area, and a second dynamic no-fly zone moves slowly through the environment. The swarm must navigate around a moving spherical obstacle and maintain 10 m minimum separation between drones. They must also avoid a small traffic UAV flying eastward across their path. Communication experiences brief uplink/downlink losses between 100–110 and 300–315 seconds with acceptable signal strength otherwise. The mission requires completing a corridor-style waypoint route within 600 seconds while preserving 30% battery reserve. Key constraints include GNSS multipath risks near structures, strict separation thresholds, and coordinated swarm behavior under environmental and dynamic obstacles.",Increase collective pitch to boost lift by 15%,Reduce speed to 3 m/s to minimize gust impact,Bank 20° into wind to balance lateral disturbance,Descend to 8 m AGL to escape wind shear,Increase inter-drone spacing to 15 m for safety,Align formation axis perpendicular to wind vector,Match thrust to drag plus 8 N lateral correction,"[""Increase collective pitch to boost lift by 15%"", ""Reduce speed to 3 m/s to minimize gust impact"", ""Bank 20° into wind to balance lateral disturbance"", ""Descend to 8 m AGL to escape wind shear"", ""Increase inter-drone spacing to 15 m for safety"", ""Align formation axis perpendicular to wind vector"", ""Match thrust to drag plus 8 N lateral correction""]","Wind creates a steady 8 N lateral force component; matching thrust to total drag plus corrective force maintains equilibrium. Option G balances external forces while preserving formation and minimizing power, ensuring gust resilience and separation." 2025-11-01T18:00:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_at_Airport_Perimeter_85480625e6e5_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_at_Airport_Perimeter,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,"Plan route for 8 kg octocopter near airport with 6.5 m/s wind, NFZ at (400,300), and 600 s limit.","This is a heavy load delivery mission operating near an airport perimeter. The octocopter UAV carries an 8 kg payload and is equipped with GNSS, IMU, lidar, and RGB camera sensors. It operates within a defined airspace polygon, with altitude limits between 10 m and 120 m AGL. A no-fly zone cylinder is present at the center of the area, restricting flight around coordinates (400, 300). Weather includes a 6.5 m/s wind from 240° with gusts up to 3.2 m/s, though visibility is good. The mission must be completed within 600 seconds, following a corridor pattern through four waypoints. A single other UAV is present, moving eastward at 12 m/s, requiring separation maintenance. A moving spherical obstacle drifts slowly at 2 m/s through the center of the zone. The UAV must avoid geofence breaches and maintain at least 25 meters separation with a 15-second time-to-closest-approach threshold. Battery endurance and landing at the preferred site in the southeast corner are critical for mission success.","Fly direct at 110 m AGL, ignore wind drift","Descend to 15 m AGL, bypass NFZ westward","Climb to 120 m AGL, cross east of NFZ",Delay launch 30 s to sync with obstacle drift,Cut through NFZ center to save 45 s,"Follow corridor at 100 m AGL, adjust heading +12°",Hover at WP2 until other UAV clears path,"[""Fly direct at 110 m AGL, ignore wind drift"", ""Descend to 15 m AGL, bypass NFZ westward"", ""Climb to 120 m AGL, cross east of NFZ"", ""Delay launch 30 s to sync with obstacle drift"", ""Cut through NFZ center to save 45 s"", ""Follow corridor at 100 m AGL, adjust heading +12°"", ""Hover at WP2 until other UAV clears path""]","Maintains safe 100 m AGL within limits, adjusts heading for wind compensation to ensure precise waypoint tracking. Avoids NFZ and optimizes time by flying efficient corridor pattern while respecting 15-second separation threshold with moving obstacle and other UAV." 2025-11-01T18:00:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Dense_Urban_Area_with_Low_Visibility_066d1a75b865_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Dense_Urban_Area_with_Low_Visibility,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,"UAV must deliver 8 kg in 10 min under icing, winds, and 30–250 m AGL constraints with GNSS degradation.","Fixed-wing UAV conducting heavy load delivery in a dense urban environment with poor visibility and icing conditions. Operating within a 30–250 m AGL altitude band, constrained by static and moving no-fly zones. Equipped with radar, LiDAR, GNSS, and visual sensors, carrying an 8 kg payload under high drag. Faces strong, gusty winds with significant wind shear and thermal updrafts affecting flight stability. GNSS signals degraded by multipath, jamming, and electromagnetic interference in urban canyons. Mission requires runway takeoff and landing, with a strict 10-minute time budget for completion. Dynamic obstacles and other UAV traffic increase collision risk, requiring strict DAA separation. Icing event occurs mid-mission, reducing aerodynamic performance for one minute. Communication experiences brief uplink/downlink outages, challenging command reliability. Energy management is critical due to high fuel dependence and limited reserve capacity.",Climb to 260 m AGL for clearer GNSS and faster transit,Descend to 20 m AGL to avoid wind shear and NFZs,Follow urban canyons using LiDAR to maintain 35 m AGL,Fly direct at 150 m AGL ignoring adaptive routing,Circle at 100 m AGL until GNSS signal stabilizes,"Reroute eastward around moving NFZ, maintaining 80 m AGL",Descend below 30 m AGL to evade radar-conflicted airspace,"[""Climb to 260 m AGL for clearer GNSS and faster transit"", ""Descend to 20 m AGL to avoid wind shear and NFZs"", ""Follow urban canyons using LiDAR to maintain 35 m AGL"", ""Fly direct at 150 m AGL ignoring adaptive routing"", ""Circle at 100 m AGL until GNSS signal stabilizes"", ""Reroute eastward around moving NFZ, maintaining 80 m AGL"", ""Descend below 30 m AGL to evade radar-conflicted airspace""]","Rerouting east maintains safe altitude within 30–250 m AGL, avoids moving no-fly zones, and balances wind effects with energy use. It uses sensor fusion to compensate for GNSS degradation while preserving time-to-go. Other options violate altitude limits, increase exposure, or waste critical time." 2025-11-01T18:00:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Dusty_Industrial_Plant_f22c65312020_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Dusty_Industrial_Plant,minimax/minimax-m1,9,Comparative System Reasoning,7,?,F,False,"Which UAV configuration best handles 3 kg payload, 6 m/s winds, and 10-second DAA separation in dusty conditions?","This is a heavy-load delivery mission using a battery-powered quadrotor UAV within a confined industrial plant airspace. The UAV carries a 3 kg payload and is equipped with GNSS, IMU, lidar, and RGB camera for navigation and situational awareness. The environment features poor visibility due to dust and moderate winds from 240 degrees at 6 m/s with gusts up to 3.5 m/s. The flight is restricted to an altitude range of 5 to 50 meters AGL within a polygonal geofence. A cylindrical no-fly zone with a 10-meter radius and 30-meter ceiling is located near the center of the area. The mission includes a predefined corridor pattern with four waypoints and must be completed within 600 seconds. A second UAV and a moving spherical obstacle add dynamic traffic challenges. Communication experiences a brief uplink/downlink loss between 120 and 130 seconds. The UAV must maintain at least 10 meters separation and 5 seconds time-to-closest-approach to avoid DAA breaches.","High-efficiency propellers, single IMU, no redundancy","Dual IMU, GNSS-aided EKF, moderate prop thrust","Lightweight frame, minimal sensors, low battery reserve","Aggressive flight controller, no lidar, high speed","Single GNSS, basic RGB-only obstacle detection","Redundant IMU/GNSS, lidar-based localizer, strong motors","Solar-assisted battery, slow cruise, low wind tolerance","[""High-efficiency propellers, single IMU, no redundancy"", ""Dual IMU, GNSS-aided EKF, moderate prop thrust"", ""Lightweight frame, minimal sensors, low battery reserve"", ""Aggressive flight controller, no lidar, high speed"", ""Single GNSS, basic RGB-only obstacle detection"", ""Redundant IMU/GNSS, lidar-based localizer, strong motors"", ""Solar-assisted battery, slow cruise, low wind tolerance""]","F provides sensor redundancy, lidar for dust resilience, and strong motors for wind rejection. It supports DAA with reliable state estimation and maintains safety margins. Other options lack fault tolerance, environmental robustness, or sufficient thrust for the 3 kg payload." 2025-11-01T18:00:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Foggy_Warehouse_96037be295cf_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Foggy_Warehouse,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"In fog with GNSS/IMU/lidar, how to secure navigation near a 2.0 m no-fly zone at (10.0, 15.0)?","This scenario involves a heavy load delivery mission inside a confined warehouse environment. The UAV operates in poor visibility due to fog, limiting visual and sensor effectiveness. A quadrotor UAV with a 3.0 kg payload is used, equipped with GNSS, IMU, lidar, and RGB camera for navigation. The flight occurs at low altitude between 0.5 m and 5.0 m AGL within a polygonal geofenced area. A cylindrical no-fly zone is centered at (10.0, 15.0) with a 2.0 m radius, restricting flight paths. The UAV must avoid a moving spherical obstacle traveling horizontally at 0.8 m/s near the center of the space. Wind is light but present, with a 1.5 m/s speed from 135 degrees and minor gusts. The mission follows a corridor pattern with four waypoints and must complete within 600 seconds. Minimum separation is set at 1.5 m with a time-to-closest-approach threshold of 3.0 seconds for collision avoidance. Battery reserve is set to 30%, and ending energy levels are monitored to ensure safe return and landing.",Use encrypted GNSS with authenticated signals to prevent spoofing attacks,Rely solely on lidar SLAM if GNSS shows drift beyond 1.5 m,Disable IMU calibration to reduce sensor injection risks,Transmit unencrypted telemetry to reduce communication latency,Accept GPS position if lidar and IMU disagree during jamming,Override obstacle avoidance when time-to-closest-approach exceeds 3.0 s,Use open Wi-Fi for real-time RGB video streaming to ground station,"[""Use encrypted GNSS with authenticated signals to prevent spoofing attacks"", ""Rely solely on lidar SLAM if GNSS shows drift beyond 1.5 m"", ""Disable IMU calibration to reduce sensor injection risks"", ""Transmit unencrypted telemetry to reduce communication latency"", ""Accept GPS position if lidar and IMU disagree during jamming"", ""Override obstacle avoidance when time-to-closest-approach exceeds 3.0 s"", ""Use open Wi-Fi for real-time RGB video streaming to ground station""]","B maintains navigation integrity by switching to lidar SLAM when GNSS is compromised, preserving control stability. It mitigates GNSS spoofing/jamming risks while respecting the 1.5 m separation and obstacle dynamics. Other options introduce unsecured comms, sensor mismanagement, or weaken cyber-physical resilience." 2025-11-01T18:00:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Search_and_Rescue_at_Bridge_Site_with_Lightning_Risk_471bac8f6f7b_mcq.json,uavbench-mcq-v1,Glider_Search_and_Rescue_at_Bridge_Site_with_Lightning_Risk,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,B,B,True,"Glider SAR at bridge, 15 m/s winds, GNSS multipath, 600s limit: which navigation strategy maximizes reliability?","This is a glider-based search and rescue mission at a bridge site. The airspace is constrained between 10 and 200 meters AGL with a defined polygon geofence. Weather includes strong winds up to 15 m/s increasing with altitude and a risk of lightning. The UAV is a fixed-wing glider equipped with RGB and thermal cameras for search operations. GNSS signals are subject to multipath interference and temporary jamming. A static no-fly zone surrounds the bridge center, and a dynamic no-fly zone moves through the area. The glider must avoid a moving obstacle near the bridge and maintain separation from other air traffic. Wind shear and thermal updrafts affect flight performance and energy management. Communication experiences brief downlink loss, requiring robust data handling. The mission must be completed within 600 seconds while managing battery reserves and navigation risks.",Rely solely on GNSS with Kalman filtering,Use IMU-visual fusion during GNSS outages,Follow pre-programmed path with no updates,Prioritize thermal data for position correction,Depend on magnetic heading in bridge vicinity,Increase altitude to escape wind shear,Transmit all data continuously despite downlinks,"[""Rely solely on GNSS with Kalman filtering"", ""Use IMU-visual fusion during GNSS outages"", ""Follow pre-programmed path with no updates"", ""Prioritize thermal data for position correction"", ""Depend on magnetic heading in bridge vicinity"", ""Increase altitude to escape wind shear"", ""Transmit all data continuously despite downlinks""]",IMU-visual fusion compensates for GNSS multipath and jamming by leveraging camera data and inertial consistency. Visual odometry aligns with thermal and RGB inputs to maintain localization amid signal loss. This adaptive fusion ensures robust navigation within geofence and time constraints despite wind and interference. 2025-11-01T18:00:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Forest_During_Rain_173a3007c832_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Forest_During_Rain,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"With 30% battery reserve, 5 kg payload, and 10-min time budget, which strategy maximizes delivery success under icing and GNSS jamming?","This scenario involves a heavy-load delivery mission using a quadrotor UAV in a forested area under rainy and icy weather conditions. The UAV carries a 5 kg payload and is equipped with GNSS, IMU, lidar, and RGB camera sensors for navigation and obstacle detection. The flight occurs within a defined airspace bounded between 10 m and 120 m AGL, with a static no-fly zone near the center and a moving no-fly zone drifting southwest. Strong and variable winds increase in speed and shift direction with altitude, peaking at 12 m/s at 100 m, while gusts and poor visibility further challenge flight stability. GNSS multipath and electromagnetic interference are present, with a deliberate GNSS jamming event occurring mid-mission. The UAV must avoid a dynamically moving obstacle and maintain safe separation from another UAV flying through the area. Thermal updrafts near the center of the map may slightly affect flight dynamics. The mission includes four waypoints in a corridor pattern, requiring precise navigation to reach the preferred landing site within a strict 10-minute time budget. Battery reserves are set at 30%, and the UAV faces additional risks from an icing event that reduces performance for one minute. Communication dropouts occur briefly at two intervals, testing onboard autonomy and resilience.",Climb to 120 m for clearer GNSS signals,Descend to 10 m to avoid wind gusts,Reduce sensor sampling to save power,Increase speed to beat the time limit,Fly direct through moving no-fly zone,Rely solely on IMU during jamming event,Use lidar and camera fusion for low-altitude navigation,"[""Climb to 120 m for clearer GNSS signals"", ""Descend to 10 m to avoid wind gusts"", ""Reduce sensor sampling to save power"", ""Increase speed to beat the time limit"", ""Fly direct through moving no-fly zone"", ""Rely solely on IMU during jamming event"", ""Use lidar and camera fusion for low-altitude navigation""]","Lidar-camera fusion enables reliable navigation during GNSS jamming and poor visibility while minimizing energy use. It balances computational load and sensor accuracy, avoiding high-altitude winds and maintaining obstacle awareness. This maximizes mission success within battery and time limits." 2025-11-01T18:00:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Harbor_with_Dust_Weather_46702fda6258_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Harbor_with_Dust_Weather,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"With 7 m/s winds, 4 kg payload, and 30% battery reserve, what minimizes energy use while ensuring mission completion within 600 s?","This is a heavy load delivery mission conducted in a harbor airspace. The UAV operates within an altitude range of 30 to 150 meters AGL, following a corridor-style waypoint path. The environment features poor visibility due to dust, with winds at 7 m/s from 240 degrees and gusts up to 4 m/s. The UAV is a solar-wing fixed-wing type equipped with a 4 kg payload, carrying RGB camera and LiDAR for navigation. It relies on GNSS, IMU, barometer, and magnetometer for positioning, though dust and harbor structures may cause GNSS multipath issues. A cylindrical no-fly zone is centered at (400, 300) with a 50-meter radius and vertical limits from 30 to 100 meters. A moving spherical obstacle travels eastward at 5 m/s, requiring real-time avoidance. Another UAV is present in the airspace, flying at 15 m/s, necessitating a minimum separation of 25 meters and a time-to-closest-approach threshold of 20 seconds. The mission must be completed within 600 seconds and includes return-to-home, with preferred and emergency landing zones defined. Battery reserve is set to 30%, and energy consumption is closely tied to speed, drag, and maneuvering under windy, dusty conditions.",Fly direct path at max speed to reduce exposure to wind,Descend to 30 m AGL throughout to minimize climb energy,"Reduce speed to 12 m/s in headwind, increase in tailwind sectors",Disable LiDAR and rely solely on GNSS for navigation,Circle waiting area to delay entry until moving obstacle clears,Climb to 150 m AGL for better GNSS signal and obstacle clearance,Drop payload early to save energy for return flight,"[""Fly direct path at max speed to reduce exposure to wind"", ""Descend to 30 m AGL throughout to minimize climb energy"", ""Reduce speed to 12 m/s in headwind, increase in tailwind sectors"", ""Disable LiDAR and rely solely on GNSS for navigation"", ""Circle waiting area to delay entry until moving obstacle clears"", ""Climb to 150 m AGL for better GNSS signal and obstacle clearance"", ""Drop payload early to save energy for return flight""]","Adaptive speed control balances aerodynamic drag and wind assistance, reducing overall power consumption. It maintains mission timeline and safety without sacrificing sensor redundancy. Other options either increase energy use, violate rules, or compromise navigation integrity." 2025-11-01T18:00:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Jungle_Fog_104165c03019_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Jungle_Fog,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 110 m AGL, 50 seconds into flight, UAV detects drifting NFZ edge at (145,120) moving NW at 1.5 m/s. What action minimizes risk within 600-second mission?","This is a heavy-load delivery mission in a dense jungle environment with poor visibility due to persistent fog. The UAV operates within a defined airspace corridor from 10 to 120 meters AGL, bounded by a fixed polygonal geofence. Weather conditions include moderate wind at 6.5 m/s from 240 degrees, increasing with altitude, along with gusts and electromagnetic interference. The UAV is a battery-powered quadrotor carrying a 4 kg payload, equipped with GNSS, IMU, lidar, and RGB camera for navigation and obstacle avoidance. Key constraints include a static no-fly zone centered at (150,125) and a moving no-fly zone drifting northwest, requiring real-time avoidance. There is also a dynamic moving obstacle near the flight path and another UAV traversing the airspace at constant speed. GNSS performance is degraded due to multipath effects, jamming at -85 dBm, and brief comms loss windows, challenging positioning reliability. The mission must be completed within 600 seconds, navigating through waypoints in a corridor pattern while maintaining separation of at least 25 meters from traffic. Battery reserve is set to 30%, and successful delivery depends on avoiding collisions, NFZ breaches, and managing energy under demanding flight conditions.",Descend to 40 m AGL and divert east around static NFZ,Climb to 120 m AGL to avoid moving obstacle and gusts,Hold position at 110 m AGL until drifting NFZ passes,Proceed at 100 m AGL directly through corridor waypoint,Descend to 15 m AGL to reduce wind and EMI exposure,Turn southwest toward open airspace below 10 m AGL,"Ascend to 115 m AGL, adjust heading to parallel drifting NFZ","[""Descend to 40 m AGL and divert east around static NFZ"", ""Climb to 120 m AGL to avoid moving obstacle and gusts"", ""Hold position at 110 m AGL until drifting NFZ passes"", ""Proceed at 100 m AGL directly through corridor waypoint"", ""Descend to 15 m AGL to reduce wind and EMI exposure"", ""Turn southwest toward open airspace below 10 m AGL"", ""Ascend to 115 m AGL, adjust heading to parallel drifting NFZ""]","Ascending to 115 m AGL keeps the UAV within the approved corridor (10–120 m AGL) while maximizing separation from the drifting NFZ and avoiding lower-altitude multipath and fog. It maintains energy margin and VLOS compliance, whereas descending or holding increases collision risk or violates altitude limits. Option G also preserves mission time and avoids comms degradation near terrain." 2025-11-01T18:00:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Jungle_with_Gusts_f8fb1fff7ea2_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Jungle_with_Gusts,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 110 m AGL, 12 kg payload, and 13.2 m/s gusts from 240°, what minimizes roll instability during transition to forward flight?","This is a heavy-load delivery mission in a dense jungle environment. The UAV operates within a defined airspace corridor between 10 and 120 meters AGL. Strong winds of 8.5 m/s from 240° increase with altitude, peaking at 13.2 m/s with significant gusts. A convertiplane UAV with eight rotors carries a 12 kg payload, relying on GNSS, IMU, lidar, and RGB camera. GNSS signals are degraded by multipath effects and electromagnetic interference, with mild jamming present. A static no-fly zone blocks the central area, while a moving no-fly cylinder and dynamic obstacle add complexity. Air traffic includes one conflicting UAV flying at 18 m/s on a 45° heading. The mission requires a runway for takeoff and landing, with specific transition times between VTOL and forward flight. Comms experience two brief downlink loss windows, requiring robust autonomy. Poor visibility and thermal updrafts further challenge navigation and energy management.",Increase rotor collective to boost vertical lift,Reduce airspeed to decrease dynamic pressure,Bank into wind to align thrust vector,Pitch down to decrease angle of attack,Advance transition timing to reduce hover time,Yaw left to counteract crosswind moment,Maintain 85 m/s forward speed to maximize control authority,"[""Increase rotor collective to boost vertical lift"", ""Reduce airspeed to decrease dynamic pressure"", ""Bank into wind to align thrust vector"", ""Pitch down to decrease angle of attack"", ""Advance transition timing to reduce hover time"", ""Yaw left to counteract crosswind moment"", ""Maintain 85 m/s forward speed to maximize control authority""]","Banking into the crosswind (240°) aligns the thrust vector to counteract lateral forces, balancing lift and drag. At 110 m AGL, strong gusts increase sideslip risk, and maintaining coordinated flight reduces aerodynamic yaw-roll coupling. Other options either worsen stability or exceed feasible airspeed limits for transition." 2025-11-01T18:00:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Mountainous_Terrain_with_Gusts_3d01cde977c6_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Mountainous_Terrain_with_Gusts,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"Deliver 8 kg payload through mountain corridor in 600 s with 12 m/s winds, dynamic NFZ, and GNSS jamming at -95 dBm.","This is a heavy load delivery mission in mountainous terrain using a hexacopter UAV equipped with lidar, RGB camera, and standard navigation sensors. The UAV carries an 8 kg payload and operates within an airspace bounded between 50 and 450 meters AGL, featuring static and moving no-fly zones. The environment includes strong winds up to 12 m/s with gusts of 4.5 m/s, increasing with altitude, and wind direction shifting from west to northwest. GNSS signals are degraded due to multipath effects and electromagnetic interference, with moderate jamming at -95 dBm. A dynamic no-fly zone moves through the area, requiring real-time avoidance, alongside a stationary cylindrical restricted zone near the center. The mission involves navigating a corridor of four waypoints within a time limit of 600 seconds, starting from a hillside spawn point and ending at a preferred landing site. Traffic includes another UAV flying perpendicular to the path, and a moving spherical obstacle drifts through the route. Communication experiences brief uplink/downlink outages, requiring resilient control during signal loss periods. Minimum separation is set at 25 meters with a time-to-closest approach threshold of 15 seconds for detect-and-avoid compliance.",Climb to 450 m AGL for faster transit and better GNSS signal,Descend to 50 m AGL to avoid wind gusts and reduce exposure,"Proceed at 250 m AGL, adjust heading to maintain 30 m separation from moving obstacle",Divert to alternate landing site if downlink lost for over 15 s,Accelerate to minimize time in corridor despite higher energy use,Fly direct through cylindrical restricted zone to meet 600 s deadline,"Hover at waypoint 2 until dynamic NFZ passes, then resume","[""Climb to 450 m AGL for faster transit and better GNSS signal"", ""Descend to 50 m AGL to avoid wind gusts and reduce exposure"", ""Proceed at 250 m AGL, adjust heading to maintain 30 m separation from moving obstacle"", ""Divert to alternate landing site if downlink lost for over 15 s"", ""Accelerate to minimize time in corridor despite higher energy use"", ""Fly direct through cylindrical restricted zone to meet 600 s deadline"", ""Hover at waypoint 2 until dynamic NFZ passes, then resume""]","Flying at 250 m AGL balances wind exposure and GNSS multipath while staying within the 50–450 m AGL band. It maintains 30 m separation (>25 m minimum) from the moving obstacle, complying with detect-and-avoid thresholds. Other options violate NFZs, increase risk during signal loss, or fail to address combined constraints of timing, separation, and navigation integrity." 2025-11-01T18:00:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Rainy_Airport_Perimeter_f7ee6b46de30_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Rainy_Airport_Perimeter,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,"Which UAV system best handles 8 kg delivery, icing, GNSS issues, and 30–150 m altitude in rain with 30% battery reserve?","Fixed-wing UAV mission for heavy load delivery within an airport perimeter. Operating in rainy conditions with poor visibility and potential icing. Wind is moderate at ground level but increases with altitude, shifting direction. UAV carries an 8 kg payload and relies on battery power with a 30% reserve. Equipped with GNSS, IMU, lidar, and RGB camera but faces GNSS multipath and jamming. Flight altitude is constrained between 30 m and 150 m AGL. A static no-fly zone and a moving no-fly cylinder must be avoided. Dynamic separation from other air traffic is required with a 50 m minimum. An icing fault event occurs mid-mission, affecting performance for two minutes. The UAV must complete a corridor-style delivery route and land using the runway.","High-wing with de-icing, dual GNSS/INS, and lidar-based navigation",Quadcopter with heavy-lift rotors and visual-only guidance,"Fixed-wing with anti-icing, single GNSS, and camera obstacle avoidance",Hybrid VTOL with radar altimeter and no lidar redundancy,"Fixed-wing using GNSS only, no de-icing, low-cost IMU","Tail-sitter with dual cameras, no IMU backup, moderate wind tolerance","Fixed-wing with mechanical de-icing, GNSS/INS fusion, and RGB-only sensing","[""High-wing with de-icing, dual GNSS/INS, and lidar-based navigation"", ""Quadcopter with heavy-lift rotors and visual-only guidance"", ""Fixed-wing with anti-icing, single GNSS, and camera obstacle avoidance"", ""Hybrid VTOL with radar altimeter and no lidar redundancy"", ""Fixed-wing using GNSS only, no de-icing, low-cost IMU"", ""Tail-sitter with dual cameras, no IMU backup, moderate wind tolerance"", ""Fixed-wing with mechanical de-icing, GNSS/INS fusion, and RGB-only sensing""]","A provides de-icing capability, GNSS/INS redundancy for jamming resilience, and lidar for obstacle detection in poor visibility. It balances payload, endurance, and fault tolerance within altitude and energy constraints. Other options lack sensor fusion, de-icing, or reliable navigation under multipath and icing conditions." 2025-11-01T18:00:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Sandstorm_-_Rural_Area_3dc24f857b35_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Sandstorm_-_Rural_Area,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,Octocopter carries 10 kg in 12 m/s winds at 30–120 m AGL; sandstorm reduces visibility. How to respond to GNSS jamming and motor failure while avoiding dynamic obstacles?,"This scenario involves a heavy-load delivery mission using an octocopter UAV in a rural airspace. The UAV carries a 10 kg payload and operates under poor visibility due to an active sandstorm. Weather conditions include strong 12 m/s winds from 240 degrees with 6 m/s gusts, increasing flight challenges. The octocopter is equipped with GNSS, IMU, lidar, radar, and RGB camera for navigation and obstacle detection. Flight altitude is constrained between 30 m and 120 m AGL within a defined polygon geofence. A static no-fly zone and a moving no-fly cylinder must be avoided, along with a dynamic moving obstacle. The mission includes a communication loss window and two faults: GNSS jamming and a partial motor failure. The UAV must maintain separation from another traffic UAV, with DAA thresholds set at 50 m and 20 s TTC. Mission success depends on timely delivery, battery reserve, and avoiding breaches or collisions.",Descend to 25 m to reduce wind exposure and conserve battery,Climb to 125 m to regain GNSS signal and bypass sandstorm,"Hold position at 60 m using IMU and radar, reduce speed by 30%",Increase speed to 15 m/s to exit sandstorm quickly despite gusts,Switch to lidar-only navigation and descend below 30 m AGL,Rely on RGB camera for obstacle avoidance and maintain 10 m/s,"Activate return-to-home at max thrust, ignoring geofence altitude","[""Descend to 25 m to reduce wind exposure and conserve battery"", ""Climb to 125 m to regain GNSS signal and bypass sandstorm"", ""Hold position at 60 m using IMU and radar, reduce speed by 30%"", ""Increase speed to 15 m/s to exit sandstorm quickly despite gusts"", ""Switch to lidar-only navigation and descend below 30 m AGL"", ""Rely on RGB camera for obstacle avoidance and maintain 10 m/s"", ""Activate return-to-home at max thrust, ignoring geofence altitude""]","Holding at 60 m maintains safe AGL within geofence and avoids gust effects near ground. Using IMU and radar sustains navigation during GNSS jamming and sandstorm. Reducing speed conserves energy, ensures control with partial motor failure, and supports DAA compliance with traffic UAV." 2025-11-01T18:00:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Sandstorm_at_Airport_Perimeter_53cc761033ae_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Sandstorm_at_Airport_Perimeter,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During 30-second GNSS jamming at 100 m AGL with 18 m/s winds, how should the UAV maintain position integrity?","This is a heavy load delivery mission using a convertiplane UAV near an airport perimeter. The UAV carries a 15 kg payload and operates in poor visibility due to an active sandstorm. Winds are strong, increasing with altitude from 12 m/s at ground level to 18 m/s at 100 m, with gusts up to 6 m/s. The flight must stay within a defined airspace corridor between 0 and 120 m AGL, avoiding static and moving no-fly zones. A dynamic no-fly zone drifts slowly through the area, and a moving spherical obstacle crosses the flight path. The UAV relies on GNSS, radar, lidar, and other sensors but faces EM interference and a planned 30-second GNSS jamming event. Communication experiences two brief downlink loss periods, requiring robust data handling. The mission requires landing on a designated runway and must complete within 600 seconds. Battery reserve is set to 30%, and separation from other traffic must be maintained above 25 m. The scenario includes challenging aerodynamic conditions, sensor degradation risks, and strict operational constraints.",Switch to encrypted INS with radar-aided terrain matching,Rely on unverified GNSS signals during jamming,Disable telemetry encryption to reduce latency,Use open-loop dead reckoning without sensor fusion,Accept lidar-only navigation despite sandstorm attenuation,Transmit control commands in plaintext for speed,Maintain course using unauthenticated ground station updates,"[""Switch to encrypted INS with radar-aided terrain matching"", ""Rely on unverified GNSS signals during jamming"", ""Disable telemetry encryption to reduce latency"", ""Use open-loop dead reckoning without sensor fusion"", ""Accept lidar-only navigation despite sandstorm attenuation"", ""Transmit control commands in plaintext for speed"", ""Maintain course using unauthenticated ground station updates""]","A- ensures position integrity by using encrypted INS and radar, preserving data confidentiality and availability during GNSS denial. It fuses trusted sensors to resist spoofing and sustain control in degraded conditions. Other options expose the system to spoofing, data corruption, or loss of control in high-wind, jammed environments." 2025-11-01T18:00:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Sandstorm_over_Powerline_Corridor_e59cfff76a85_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Sandstorm_over_Powerline_Corridor,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,An amphibious octocopter carries 12 kg through a narrow corridor with 12.5 m/s winds and GNSS jamming at -75 dBm. Mission must complete in 600 s.,"Heavy load delivery mission using an amphibious octocopter with fixed-wing features flying through a narrow powerline corridor. The UAV carries a 12 kg payload and relies on battery power with advanced aerodynamics for efficiency. Strong winds up to 12.5 m/s increase with altitude and shift direction, compounded by a sandstorm reducing visibility. GNSS signals suffer from multipath effects and jamming at -75 dBm, with a dedicated GNSS jamming fault event. The airspace includes a static no-fly cylinder around a central tower and a moving no-fly zone drifting northeast. A separate dynamic obstacle moves unpredictably through the corridor, requiring real-time avoidance. Another UAV flies perpendicular to the mission path, demanding separation assurance below 25 m threshold. The mission must be completed within 600 seconds, requiring a runway-assisted takeoff and transition to forward flight. Sandstorm severity peaks at 0.9, and communication is lost during two critical windows, challenging control and monitoring.",Fly low at 15 m to reduce wind exposure and conserve energy.,Climb to 40 m for smoother airflow despite higher wind speeds.,Proceed at max speed to minimize sandstorm exposure and delays.,Delay takeoff until sandstorm severity drops below 0.6.,Rely on IMU-only navigation to bypass GNSS jamming effects.,"Divert east to avoid dynamic obstacle, adding 90 s to flight time.",Descend to 10 m and slow to 8 m/s to maintain control and comms.,"[""Fly low at 15 m to reduce wind exposure and conserve energy."", ""Climb to 40 m for smoother airflow despite higher wind speeds."", ""Proceed at max speed to minimize sandstorm exposure and delays."", ""Delay takeoff until sandstorm severity drops below 0.6."", ""Rely on IMU-only navigation to bypass GNSS jamming effects."", ""Divert east to avoid dynamic obstacle, adding 90 s to flight time."", ""Descend to 10 m and slow to 8 m/s to maintain control and comms.""]","Descending to 10 m reduces wind shear and sand ingestion while lower speed preserves control during communication blackouts. Slower flight improves navigation accuracy under GNSS denial and avoids dynamic obstacles. This balances aerodynamic stability, energy use, safety, and mission timing under visibility and signal constraints." 2025-11-01T18:00:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Urban_Canyon_with_Gusts_923238df1bde_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Urban_Canyon_with_Gusts,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Plan path for 12 kg payload in urban canyon with 8.5 m/s wind, 10–120 m AGL, avoid static/moving NFZs, sphere obstacle, and second UAV with 25 m separation.","This is a heavy load delivery mission in an urban canyon environment. The UAV operates within confined airspace bounded by buildings, with altitude restricted between 10 and 120 meters AGL. Weather includes a steady 8.5 m/s wind from 240 degrees with 4.2 m/s gusts, posing stability challenges. The UAV is a fuel-powered helicopter with a 12 kg payload, designed for high lift and endurance. It carries GNSS, IMU, lidar, RGB camera, and other standard sensors but lacks radar and thermal imaging. The flight must avoid two no-fly zones: one static cylinder and one moving cylinder drifting at 2.5 m/s. A dynamic moving obstacle—a sphere—travels horizontally, requiring real-time path adjustments. Another UAV enters the airspace, demanding separation of at least 25 meters and a time-to-closest-approach greater than 15 seconds. GNSS multipath effects are expected due to surrounding structures, potentially degrading positioning accuracy. The mission must be completed within 600 seconds, reaching three waypoints along a corridor route before landing at the preferred site.","Climb to 120 m AGL, direct route through static NFZ center","Descend to 8 m AGL, bypass moving NFZ west at 2.5 m/s drift","Hold altitude at 60 m, fly clockwise around sphere at 15 m","Fly straight at 100 m AGL, ignore gust-induced position drift","Reroute east to maintain 30 m from intruder UAV, adjust timing","Proceed to WP2 via shortest path, accept 12 sec time-to-closest","Reduce speed, descend to 20 m AGL under GNSS-degraded zone","[""Climb to 120 m AGL, direct route through static NFZ center"", ""Descend to 8 m AGL, bypass moving NFZ west at 2.5 m/s drift"", ""Hold altitude at 60 m, fly clockwise around sphere at 15 m"", ""Fly straight at 100 m AGL, ignore gust-induced position drift"", ""Reroute east to maintain 30 m from intruder UAV, adjust timing"", ""Proceed to WP2 via shortest path, accept 12 sec time-to-closest"", ""Reduce speed, descend to 20 m AGL under GNSS-degraded zone""]","E maintains 30 m separation and >15 s time-to-closest-approach, complying with intruder UAV constraints. It adapts laterally to avoid dynamic obstacles while staying within safe altitude bounds. Other options violate NFZs, altitude limits, separation minima, or ignore environmental degradation." 2025-11-01T18:00:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Urban_Canyon_with_Low_Visibility_4d5b1016682c_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Urban_Canyon_with_Low_Visibility,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,"How should the UAV prioritize flight adjustments at 130 m AGL with 13.5 m/s winds, icing, and 12 kg payload?","This is a heavy-load urban delivery mission using a VTOL tiltrotor UAV equipped with lidar, radar, and RGB camera. The flight occurs in a dense urban canyon environment with strict altitude limits between 10 and 150 meters AGL. Weather conditions include poor visibility, icing risk, and strong winds up to 13.5 m/s that increase with altitude and shift direction. The UAV carries a 12 kg payload, significantly affecting its performance and energy consumption. A static no-fly zone blocks the central airspace, while a dynamic no-fly zone moves through the area, requiring real-time avoidance. GNSS signals suffer from multipath errors and moderate jamming, compounded by electromagnetic interference. Two other UAVs and a moving spherical obstacle create traffic separation challenges, with a minimum safe separation of 25 meters. An icing fault event occurs mid-mission, degrading performance for one minute. Communication experiences brief dropouts, and the UAV must maintain reliable uplink and downlink throughout. The mission requires a runway approach for landing and must be completed within 10 minutes while avoiding all obstacles and airspace violations.",Descend to 110 m to reduce wind exposure and save energy,Maintain altitude and increase speed to outrun dynamic no-fly zone,Climb to 150 m for smoother airflow despite higher wind speeds,"Reduce speed to conserve energy, accepting minor GNSS drift","Bank sharply to avoid sphere, prioritizing separation over stability","Switch to full lidar navigation, ignoring radar-EMI conflicts","Pitch down immediately, trading altitude for forward momentum and comms","[""Descend to 110 m to reduce wind exposure and save energy"", ""Maintain altitude and increase speed to outrun dynamic no-fly zone"", ""Climb to 150 m for smoother airflow despite higher wind speeds"", ""Reduce speed to conserve energy, accepting minor GNSS drift"", ""Bank sharply to avoid sphere, prioritizing separation over stability"", ""Switch to full lidar navigation, ignoring radar-EMI conflicts"", ""Pitch down immediately, trading altitude for forward momentum and comms""]","Descending to 110 m reduces wind loading and aerodynamic instability from icing while staying within safe altitude bounds. It improves control authority and energy efficiency under heavy load and degraded thrust. This choice balances safety, navigation reliability, and power constraints amid sensor and weather challenges." 2025-11-01T18:00:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Urban_Canyon_with_Microburst_Risk_d89fd9ecaa21_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Urban_Canyon_with_Microburst_Risk,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,E,False,"At 110 m AGL, 14 m/s wind shear and GNSS degradation occur. Microburst risk rises. What should the UAV do to ensure safety and mission success?","Fixed-wing UAV conducts heavy load delivery in an urban canyon environment with significant microburst risk. The mission operates within a defined airspace corridor from 10 to 120 meters AGL, bounded by polygonal geofences. Strong winds up to 14 m/s with directional shear are present, increasing with altitude and posing control challenges. A fixed-wing UAV with 8 kg payload uses battery power and relies on GNSS, IMU, LIDAR, and RGB camera for navigation. GNSS multipath effects and electromagnetic interference degrade positioning accuracy near buildings. A static no-fly zone and a moving no-fly cylinder require real-time avoidance and dynamic path planning. Another UAV and a descending spherical obstacle introduce collision risks requiring DAA compliance. Communication experiences brief loss windows, demanding robust autonomy during signal degradation. The UAV must follow a runway-aligned approach and ensure sufficient battery reserve for safe landing. Mission success depends on timely waypoint arrival, separation maintenance, and avoiding stalls or breaches.",Descend to 15 m AGL to reduce wind exposure,Climb to 125 m AGL for smoother airflow,Maintain 110 m AGL to stay within corridor,Divert laterally to avoid microburst cell,Descend to 80 m AGL and reduce speed,Accelerate to 22 m/s to exit canyon quickly,Initiate immediate landing at current location,"[""Descend to 15 m AGL to reduce wind exposure"", ""Climb to 125 m AGL for smoother airflow"", ""Maintain 110 m AGL to stay within corridor"", ""Divert laterally to avoid microburst cell"", ""Descend to 80 m AGL and reduce speed"", ""Accelerate to 22 m/s to exit canyon quickly"", ""Initiate immediate landing at current location""]","Descending to 80 m AGL reduces exposure to strong wind shear while remaining above minimum safe altitude and within the 10–120 m corridor. Reducing speed improves control authority and energy margin, mitigating stall and GNSS degradation risks near buildings. Other options violate altitude limits, increase multipath, or compromise separation or runway alignment." 2025-11-01T18:01:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Volcanic_Zone_with_Dust_368945fbbd96_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Volcanic_Zone_with_Dust,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 300 m AGL, 8 kg payload, and 240°–260° shifting winds, what ensures sufficient lift and control in turbulence without exceeding stall angle?","Fixed-wing UAV conducts heavy payload delivery in a restricted volcanic zone with significant dust and thermal turbulence. The mission operates within a defined corridor between 50 and 450 meters AGL, bounded by polygonal geofences and a prominent no-fly cylinder. Strong winds increase with altitude, shifting direction from 240° at ground level to 260° at 200 meters, with gusts up to 4 m/s. Thermal updrafts near plume centers provide potential lift but add navigational uncertainty in turbulent air. The UAV carries an 8 kg payload and relies on battery power, with radar and RGB camera aiding navigation in poor visibility. GNSS signals suffer from multipath effects and moderate jamming, while electromagnetic interference challenges sensor reliability. A second UAV and a moving spherical obstacle create dynamic collision risks requiring real-time avoidance. Uplink and downlink experience two brief communication dropouts during the flight. Runway-aligned takeoff and landing are required, with only one preferred recovery site available. The mission must complete within 10 minutes, maintaining separation of at least 50 meters from obstacles and other traffic.",Increase angle of attack to 18° and reduce airspeed to 14 m/s,Maintain 12° angle of attack and 19 m/s airspeed with balanced aileron trim,Reduce thrust by 15% to minimize drag in strong headwind,Bank 35° into thermal updrafts to exploit vertical lift,Descend rapidly to 100 m to avoid gusts above 200 m,Pitch up abruptly after each gust to maintain altitude,Fly at 16 m/s with 10° angle of attack and intermittent throttle bursts,"[""Increase angle of attack to 18° and reduce airspeed to 14 m/s"", ""Maintain 12° angle of attack and 19 m/s airspeed with balanced aileron trim"", ""Reduce thrust by 15% to minimize drag in strong headwind"", ""Bank 35° into thermal updrafts to exploit vertical lift"", ""Descend rapidly to 100 m to avoid gusts above 200 m"", ""Pitch up abruptly after each gust to maintain altitude"", ""Fly at 16 m/s with 10° angle of attack and intermittent throttle bursts""]","Maintaining 12° angle of attack avoids stall margin erosion in turbulence while 19 m/s ensures adequate dynamic pressure for control. Balanced aileron trim counters lateral wind shear effects and sustains coordinated flight. Other options risk flow separation, inadequate lift, or excessive load factor." 2025-11-01T18:01:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Volcanic_Zone_with_Sandstorm_22e08e466a7a_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Volcanic_Zone_with_Sandstorm,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,C,C,True,"How should the UAV adapt navigation at 250m AGL with GNSS jamming (-85 dBm), 20 m/s winds, and sandstorm visibility below 100m?","This is a heavy-load delivery mission in a volcanic zone with poor visibility due to an active sandstorm. The UAV operates within a defined polygonal airspace bounded between 30 and 350 meters AGL, featuring a static no-fly cylinder and a moving no-fly zone drifting northwest. Strong winds up to 20 m/s increase with altitude and shift direction, while thermal updrafts create localized turbulence. The UAV is a battery-powered VTOL tiltrotor carrying a 12 kg payload, equipped with redundant sensors including GNSS, radar, LiDAR, and both RGB and thermal cameras. GNSS performance is degraded by multipath effects and jamming at -85 dBm, with a simulated GNSS jamming fault occurring mid-mission. The aircraft must maintain separation of at least 25 meters from other traffic, including a conflicting UAV and a moving spherical obstacle. Communication suffers from intermittent downlink loss, particularly during critical phases, and full runway use is required for takeoff and landing. Battery reserves are set high at 35%, and the mission must be completed within 600 seconds to succeed. The scenario includes additional risks from electromagnetic interference and a partial motor failure event at the three-quarters mark.",Prioritize GNSS and increase altitude for better signal reception,Rely solely on IMU dead reckoning to bypass sensor noise,Switch to LiDAR-thermal fusion with radar altimeter for terrain tracking,Descend to 50m AGL to reduce wind exposure and sensor drift,Use RGB camera SLAM with radar to maintain position estimate,Follow preplanned route using yaw from magnetometer despite EMI,Activate tiltrotor hover mode to wait for GNSS signal recovery,"[""Prioritize GNSS and increase altitude for better signal reception"", ""Rely solely on IMU dead reckoning to bypass sensor noise"", ""Switch to LiDAR-thermal fusion with radar altimeter for terrain tracking"", ""Descend to 50m AGL to reduce wind exposure and sensor drift"", ""Use RGB camera SLAM with radar to maintain position estimate"", ""Follow preplanned route using yaw from magnetometer despite EMI"", ""Activate tiltrotor hover mode to wait for GNSS signal recovery""]","GNSS is unreliable due to jamming and multipath, while visual SLAM fails in low visibility. LiDAR-thermal-radar fusion provides robust, complementary data: thermal detects obstacles through sand, radar corrects altimeter drift, and LiDAR offers high-res relative navigation. This maintains safety and progress within airspace constraints despite wind and sensor faults." 2025-11-01T18:01:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Volcanic_Zone_with_Thermal_Updrafts_682517619fba_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Volcanic_Zone_with_Thermal_Updrafts,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which UAV configuration best handles 11 m/s winds, 8 kg payload, and 45-second GNSS denial in volcanic terrain?","This is a heavy load delivery mission in a volcanic zone with challenging environmental conditions. The UAV operates within a defined rectangular airspace bounded from 10 to 250 meters AGL. Strong winds increase with altitude, reaching up to 11 m/s from the west-southwest, with gusts and thermal updrafts present. A large octocopter UAV carries an 8 kg payload and is equipped with GNSS, IMU, lidar, RGB and thermal cameras. The environment includes two strong thermal plumes that can assist lift but complicate control. GNSS signals suffer from multipath effects and moderate jamming, with a planned 45-second GNSS jamming fault during flight. A static no-fly zone blocks the central area, while a smaller dynamic no-fly zone moves through the route. A second UAV and a moving spherical obstacle require separation using DAA thresholds of 50 meters and 25 seconds TTC. Communication experiences brief dropouts, and the UAV must complete its corridor-style waypoint mission within 10 minutes. The flight begins near the southwest corner and aims for a preferred landing in the northeast, with alternate emergency sites available.",Monocopter with solar assist and basic IMU,Quadcopter with dual GNSS and lidar obstacle avoidance,Hexacopter with thermal camera and RF homing,Octocopter with redundant IMU and vision-aided navigation,Fixed-wing with high-speed glide and 5 kg capacity,Tricopter with wind-resistant rotors and GPS-only nav,Octocopter with single IMU and RGB-only perception,"[""Monocopter with solar assist and basic IMU"", ""Quadcopter with dual GNSS and lidar obstacle avoidance"", ""Hexacopter with thermal camera and RF homing"", ""Octocopter with redundant IMU and vision-aided navigation"", ""Fixed-wing with high-speed glide and 5 kg capacity"", ""Tricopter with wind-resistant rotors and GPS-only nav"", ""Octocopter with single IMU and RGB-only perception""]","The octocopter provides sufficient thrust margin for 8 kg payload and strong winds. Redundant IMU and vision-aided navigation ensure resilience during 45-second GNSS denial and multipath. Other options lack either fault tolerance, payload capacity, or sensor fusion for dynamic obstacles and thermal updrafts." 2025-11-01T18:01:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Desert_Solar_Survey_with_Hail_Risk_9c98e9aa6d49_mcq.json,uavbench-mcq-v1,Desert_Solar_Survey_with_Hail_Risk,minimax/minimax-m1,9,Comparative System Reasoning,7,C,C,True,"Which UAV configuration best balances endurance, obstacle avoidance, and communication resilience at 300 m with 16 m/s winds and hail?","This is a solar-powered fixed-wing UAV conducting a desert survey mission. The flight occurs in a designated desert airspace with a maximum altitude of 450 meters AGL and a no-fly zone near the center of the area. Winds increase with altitude, reaching 16 m/s from the west at 300 meters, with gusts and shifting direction aloft. The UAV is equipped with RGB and thermal cameras for data collection, relying on battery power with a 30% reserve requirement. Hail is present as a weather hazard, and GNSS signals suffer from multipath interference and moderate jamming. A dynamic no-fly zone moves through the airspace, and a moving spherical obstacle travels westward at 3 m/s. The mission requires runway-assisted takeoff and landing, with a preferred landing site at the southern edge. Another UAV is flying in the area on a westbound trajectory, requiring separation management. An icing event occurs mid-mission, reducing performance for one minute. Communication dropouts occur twice during the flight, impacting uplink and downlink reliability.",Lightweight carbon fiber frame with minimal sensors,Dual GNSS modules with terrain reflection compensation,High-wing design with solar-charged batteries and de-icing,Redundant comms links using satellite and line-of-sight,Fixed glide path navigation to reduce power use,Radar-based obstacle detection with 360° coverage,Low-altitude flight profile below wind shear layer,"[""Lightweight carbon fiber frame with minimal sensors"", ""Dual GNSS modules with terrain reflection compensation"", ""High-wing design with solar-charged batteries and de-icing"", ""Redundant comms links using satellite and line-of-sight"", ""Fixed glide path navigation to reduce power use"", ""Radar-based obstacle detection with 360° coverage"", ""Low-altitude flight profile below wind shear layer""]","The high-wing solar-charged design maximizes endurance and lift in strong winds while de-icing maintains performance during the icing event. It supports thermal and RGB payloads without exceeding energy limits. Other options fail in key areas: A lacks fault tolerance, B ignores power needs, D increases weight, E risks terrain collision, F adds power drain, and G conflicts with obstacle and no-fly zone constraints." 2025-11-01T18:01:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Wind_Farm_under_Cold_Temperature_Extremes_facfb11a2604_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Wind_Farm_under_Cold_Temperature_Extremes,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"At 100m AGL, 13.5 m/s winds from 255° and icing reduce UAV performance for 45s; which route maintains separation, geofence, and energy?","This scenario involves a heavy-load delivery mission using a solar-wing UAV in a wind farm environment. The UAV carries a 5 kg payload and operates within an altitude range of 20 to 150 meters AGL. The airspace includes static and moving no-fly zones, with a dynamic obstacle drifting westward and another UAV traveling westbound. Winds increase with altitude, reaching up to 13.5 m/s from 255° at 100 meters, and gusts add complexity. Icing conditions are present, with a simulated icing event reducing performance for 45 seconds. GNSS multipath and electromagnetic interference degrade navigation accuracy, while moderate signal jamming occurs. The UAV must follow a corridor-style waypoint path while maintaining separation from traffic and obstacles. A runway is required for operations, and comms experience brief dropouts. The mission emphasizes battery endurance under high drag and cold weather, with strict geofencing and separation monitoring. Success depends on navigating turbulence, avoiding stalls, and managing energy under adverse conditions.","Climb to 140m, direct path through wind farm","Descend to 25m, follow linear waypoint corridor west","Hold at 100m, delay routing until icing clears","Deviate 800m north, fly at 60m AGL, reroute west","Continue west at 100m, reduce speed by 30%","Turn east to exit NFZ, climb to 150m for solar gain","Bank 45° south, cut across corridor to save time","[""Climb to 140m, direct path through wind farm"", ""Descend to 25m, follow linear waypoint corridor west"", ""Hold at 100m, delay routing until icing clears"", ""Deviate 800m north, fly at 60m AGL, reroute west"", ""Continue west at 100m, reduce speed by 30%"", ""Turn east to exit NFZ, climb to 150m for solar gain"", ""Bank 45° south, cut across corridor to save time""]","Option D avoids the high-wind, icing-affected altitude band while maintaining safe separation from the wind farm and dynamic obstacle. Flying at 60m AGL reduces exposure to turbulence and GNSS degradation, optimizing energy use. The 800m northerly deviation preserves corridor integrity and accounts for navigation drift under jamming." 2025-11-01T18:01:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_to_Offshore_Platform_35207cbcb75e_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_to_Offshore_Platform,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"With 9.5 m/s winds, 30% battery reserve, and a dynamic no-fly zone, what action prioritizes safety and mission integrity within 600 seconds?","This is a heavy load delivery mission to an offshore platform using a battery-powered quadrotor UAV. The UAV carries an 8 kg payload and operates within a defined offshore airspace with altitude limits from 10 to 300 meters AGL. Weather conditions include strong winds of 9.5 m/s from 220 degrees, increasing with altitude up to 14 m/s, and moderate gusts of 4.5 m/s. The UAV is equipped with GNSS, IMU, lidar, and RGB camera for navigation and situational awareness. Significant GNSS multipath and electromagnetic interference are present, impacting positioning accuracy. A static no-fly zone surrounds a critical structure, and a dynamic no-fly zone moves through the airspace, requiring real-time avoidance. Another UAV and a moving spherical obstacle traverse the area, necessitating separation assurance with a 25-meter minimum clearance. Communication experiences brief uplink/downlink loss windows, affecting command reliability. The mission must be completed within 600 seconds, following a corridor flight pattern through four waypoints. Battery reserve is set to 30%, and successful delivery depends on avoiding collisions, geofence breaches, and maintaining data link integrity.",Proceed at 280 m AGL to avoid obstacles and save time,Descend to 15 m AGL despite GPS multipath interference,Abort mission due to wind exceeding 12 m/s at altitude,Fly direct through dynamic no-fly zone to meet deadline,Continue with reduced clearance of 15 meters to save battery,Switch to manual control during communication loss,"Reroute laterally, maintain 25 m separation, and adjust altitude within limits","[""Proceed at 280 m AGL to avoid obstacles and save time"", ""Descend to 15 m AGL despite GPS multipath interference"", ""Abort mission due to wind exceeding 12 m/s at altitude"", ""Fly direct through dynamic no-fly zone to meet deadline"", ""Continue with reduced clearance of 15 meters to save battery"", ""Switch to manual control during communication loss"", ""Reroute laterally, maintain 25 m separation, and adjust altitude within limits""]","The correct choice balances safety, regulatory compliance, and mission success. It avoids dynamic and static no-fly zones, maintains required separation, and operates within altitude and battery constraints despite environmental challenges. Other options risk collision, control loss, or rule violations that could endanger assets or personnel." 2025-11-01T18:02:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Glider_Delivery_in_Dense_Urban_with_Strong_Crosswind_3188c135d9ba_mcq.json,uavbench-mcq-v1,Heavy_Load_Glider_Delivery_in_Dense_Urban_with_Strong_Crosswind,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"At 440 s, winds increase to 18 m/s; moving NFZ drifts NE at 5 m/s. How should the UAV respond?","This is a delivery mission using a heavy-load battery-powered glider UAV in a dense urban environment. The UAV carries a 5 kg payload and operates within a defined airspace corridor between 30 and 150 meters AGL. Strong crosswinds of 15 m/s from the west increase to 18 m/s at higher altitudes, with gusts adding complexity. The flight path must avoid a static no-fly zone centered at (500, 400) and a moving no-fly zone drifting northeast at 5 m/s. A thermal updraft near (800, 600) may assist lift but requires precise navigation. GNSS signals suffer from multipath effects and moderate jamming at -75 dBm, compounded by electromagnetic interference. The UAV relies on GNSS, IMU, lidar, and camera RGB for navigation but lacks radar and thermal sensing. It must maintain separation from other air traffic and a moving spherical obstacle near (500, 200). Communication experiences brief uplink/downlink losses between 120–135 and 450–460 seconds, requiring robust autonomy.",Climb to 140 m AGL for smoother airflow,Descend to 35 m AGL and slow to 12 m/s,"Divert east to avoid thermal updraft at (800,600)","Hold position at (500,300) until NFZ passes",Accelerate to 25 m/s to bypass moving NFZ,Descend to 40 m AGL then proceed south,Maintain 100 m AGL and current heading,"[""Climb to 140 m AGL for smoother airflow"", ""Descend to 35 m AGL and slow to 12 m/s"", ""Divert east to avoid thermal updraft at (800,600)"", ""Hold position at (500,300) until NFZ passes"", ""Accelerate to 25 m/s to bypass moving NFZ"", ""Descend to 40 m AGL then proceed south"", ""Maintain 100 m AGL and current heading""]","Descending to 40 m AGL reduces wind exposure and stays within the 30–150 m corridor while avoiding higher gusts. It maintains forward progress with lower energy use and avoids the moving NFZ without hovering, which risks power drain during comms loss. Other options increase wind loading, violate separation, or waste energy." 2025-11-01T18:02:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HeliPointHoverInspection_Forest_Microburst_1676def8cecf_mcq.json,uavbench-mcq-v1,HeliPointHoverInspection_Forest_Microburst,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"UAV inspects forest at 200–250 m AGL; 18 m/s winds at 300 m, microburst risk, thermal updrafts nearby, 30% battery reserve required.","High-altitude pseudo-satellite UAV conducts an inspection mission in a forested airspace. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Mission involves orbiting key waypoints at altitudes between 200–250 meters AGL within a defined geofenced area. A static no-fly zone surrounds a central location, with an additional moving no-fly zone drifting northwest. Wind increases with altitude, reaching 18 m/s at 300 m, and a microburst risk is present mid-mission. Thermal updrafts are localized near one inspection point, offering potential lift. GNSS multipath and electromagnetic interference degrade navigation accuracy, with a planned GNSS jamming fault. A second UAV and a moving spherical obstacle pose collision risks, requiring DAA compliance. The UAV must maintain minimum separation and avoid geofence or altitude violations. Battery endurance is constrained, with significant hover power demand and a 30% reserve requirement.",Climb to 300 m for clearer GNSS,Hover longer using thermal updraft,Reduce LiDAR frame rate to save power,Fly direct route at max speed,Orbit all waypoints at 250 m,Descend to 150 m to avoid wind,Transmit all data in real-time,"[""Climb to 300 m for clearer GNSS"", ""Hover longer using thermal updraft"", ""Reduce LiDAR frame rate to save power"", ""Fly direct route at max speed"", ""Orbit all waypoints at 250 m"", ""Descend to 150 m to avoid wind"", ""Transmit all data in real-time""]","Reducing LiDAR frame rate conserves power without sacrificing critical mission data, extending endurance. It leverages localized lift opportunistically while maintaining safe altitude and geofence compliance. This balances sensor use, battery reserve, and risk avoidance efficiently." 2025-11-01T18:02:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heli_Point_Hover_Inspection_in_Mountainous_Area_with_Lightning_Risk_0efda84b8cfb_mcq.json,uavbench-mcq-v1,Heli_Point_Hover_Inspection_in_Mountainous_Area_with_Lightning_Risk,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,A,False,"At 200 s, lightning disrupts GNSS; UAV is at 3,800 m AGL, 12 m/s west winds, near central NFZ cylinder. What immediate action preserves mission?","This is an inspection mission using a high-altitude pseudo-satellite UAV in mountainous terrain. The UAV operates between 1,000 and 4,000 meters AGL within a defined polygonal airspace. Strong winds up to 12 m/s occur at higher altitudes, with a westward direction increasing with elevation. The UAV is equipped with radar, RGB and thermal cameras, and relies on GNSS/IMU navigation despite significant GNSS multipath and electromagnetic interference. Lightning risk is present, with a simulated lightning event affecting the UAV at 200 seconds into the flight. The mission includes orbit patterns around key waypoints, requiring precise hover and transition maneuvers between VTOL and forward flight. No-fly zones include a static cylinder near the center and a moving exclusion zone shifting northwest. Air traffic and a moving spherical obstacle pose collision risks, requiring DAA compliance with 100-meter separation. Communication suffers intermittent uplink loss, limiting remote intervention. The UAV must complete its inspection within 600 seconds and land at a designated runway-aligned site.","Descend to 1,000 m AGL and hover","Continue orbit at 3,800 m AGL","Fly direct east at 4,000 m AGL",Enter loiter west of moving obstacle,"Climb to 4,100 m AGL for clear GNSS",Head north toward runway alignment,Abort and land at nearest site,"[""Descend to 1,000 m AGL and hover"", ""Continue orbit at 3,800 m AGL"", ""Fly direct east at 4,000 m AGL"", ""Enter loiter west of moving obstacle"", ""Climb to 4,100 m AGL for clear GNSS"", ""Head north toward runway alignment"", ""Abort and land at nearest site""]","Descending to 1,000 m AGL reduces wind exposure and GNSS multipath, improving navigation resilience. It maintains separation from the central NFZ and moving obstacle while enabling sensor-based positioning. This altitude allows timely return to mission within 600 s despite uplink loss." 2025-11-01T18:02:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heli_Point_Hover_Inspection_in_Mountainous_Low_Visibility_8f1c220c9b8c_mcq.json,uavbench-mcq-v1,Heli_Point_Hover_Inspection_in_Mountainous_Low_Visibility,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Given 0.7 kg payload, 30% battery reserve, and 12 m/s winds, which action optimizes endurance while ensuring inspection completion after icing fault?","This is an inspection mission using a hexacopter UAV equipped with RGB and thermal cameras, operating in mountainous terrain with poor visibility and icing conditions. The flight occurs in a confined airspace bounded between 30 and 250 meters AGL, featuring a static no-fly zone and a dynamically moving restricted zone. Strong winds up to 12 m/s increase with altitude and shift direction, while thermal updrafts and wind gusts add environmental complexity. GNSS signals are degraded due to multipath effects, electromagnetic interference, and moderate jamming, challenging navigation reliability. The UAV must follow a predefined waypoint route ending in an orbit pattern for close visual inspection, avoiding obstacles and maintaining separation from other air traffic. A second UAV is present in the airspace, moving on a constant heading, requiring detect-and-avoid compliance with a 25-meter separation threshold. The hexacopter carries a 0.7 kg payload and relies on battery power, with a reserve of 30% and limited endurance under high wind and icing loads. An icing fault event occurs mid-mission, reducing performance for one minute, while communication dropouts briefly interrupt uplink and downlink. Multiple emergency landing sites are designated, and mission success depends on avoiding collisions, geofence breaches, and sustaining sufficient battery and GNSS availability.",Increase altitude to exploit thermal updrafts for lift,Reduce camera resolution to lower power consumption,Extend orbit time using full battery capacity,Ascend above 250 m AGL to avoid wind gusts,Maintain speed despite icing to stay on schedule,Disable thermal camera to save energy,Divert to nearest emergency landing site immediately,"[""Increase altitude to exploit thermal updrafts for lift"", ""Reduce camera resolution to lower power consumption"", ""Extend orbit time using full battery capacity"", ""Ascend above 250 m AGL to avoid wind gusts"", ""Maintain speed despite icing to stay on schedule"", ""Disable thermal camera to save energy"", ""Divert to nearest emergency landing site immediately""]","Reducing camera resolution decreases power draw, preserving battery for critical flight phases under high wind and icing loads. It maintains mission utility without breaching geofence or endurance limits. Other options either increase energy use, violate constraints, or abandon mission unnecessarily." 2025-11-01T18:02:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heli_Point_Hover_Inspection_in_Volcanic_Zone_with_Hot_Extremes_accbd28658bf_mcq.json,uavbench-mcq-v1,Heli_Point_Hover_Inspection_in_Volcanic_Zone_with_Hot_Extremes,minimax/minimax-m1,9,Comparative System Reasoning,7,?,F,False,"Which system ensures stable hover at 5–120 m AGL with 12 m/s winds, GNSS faults, and thermal turbulence?","This mission involves a quadrotor UAV conducting a point-hover inspection in a hazardous volcanic zone. The airspace is restricted with a static no-fly zone and a moving dynamic no-fly cylinder. Weather conditions include strong winds up to 12 m/s, gusts, poor visibility, and heat haze effects. The UAV is equipped with RGB and thermal cameras for inspection and relies on GNSS, IMU, and other sensors despite significant GNSS multipath and electromagnetic interference. Thermal updrafts create localized turbulence, requiring stable hover control. The flight must stay within 5–120 m AGL and avoid geofenced and no-fly zones. A traffic UAV and a moving spherical obstacle add complexity to navigation. Communication experiences brief downlink losses, and an IMU bias fault occurs mid-mission. The UAV must complete its inspection orbit within 10 minutes while managing battery reserves and maintaining safe separation.",Standard PID controller with GNSS-only positioning,Vision-only stabilization without IMU fusion,High-gain controller risking actuator saturation,Open-loop control during communication blackouts,Single-camera navigation increasing processing latency,"Centralized EKF fusing GNSS, IMU, and barometer",LIDAR-only altimeter ignoring wind disturbances,"[""Standard PID controller with GNSS-only positioning"", ""Vision-only stabilization without IMU fusion"", ""High-gain controller risking actuator saturation"", ""Open-loop control during communication blackouts"", ""Single-camera navigation increasing processing latency"", ""Centralized EKF fusing GNSS, IMU, and barometer"", ""LIDAR-only altimeter ignoring wind disturbances""]","F uses sensor fusion to maintain accuracy during GNSS multipath and IMU bias. It adapts to turbulence and preserves hover stability. Other options lack fault tolerance, environmental adaptability, or multi-sensor resilience." 2025-11-01T18:02:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Helicopter_BVLOS_Test_in_Underground_Mine_with_Hot_Temperature_Extremes_78dc1da88dc0_mcq.json,uavbench-mcq-v1,Helicopter_BVLOS_Test_in_Underground_Mine_with_Hot_Temperature_Extremes,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During 50–120s comms outage in low visibility, moderate south wind, and EMI, how should navigation adapt using LiDAR, IMU, and barometer?","This is a BVLOS inspection mission using a dual-rotor helicopter UAV in an underground mine environment. The UAV is equipped with LiDAR, RGB camera, IMU, barometer, and magnetometer but lacks GNSS due to the enclosed space. The mine has poor visibility, moderate wind from the south, and experiences electromagnetic interference and GNSS multipath effects. The UAV must navigate within a defined corridor, avoiding both static and dynamic no-fly zones, including a moving cylindrical obstacle. A second UAV is present in the airspace, requiring separation maintenance of at least 10 meters. Communication is challenged by intermittent uplink and downlink outages occurring between 50–120 seconds and 300–400 seconds. The flight is constrained by low ceiling and floor altitudes, ranging from 0.5 to 25 meters AGL. Battery endurance is critical, with a reserve fraction of 30% and high power consumption during hover. The mission must be completed within 600 seconds while adhering to strict geofencing and avoiding collisions.",Prioritize magnetometer for heading despite EMI,Rely solely on IMU due to sensor simplicity,Fuse LiDAR with IMU for drift correction,Use barometer as primary altitude source,Switch to open-loop dead reckoning,Disable sensors to reduce EMI noise,Trust GPS during multipath in mine,"[""Prioritize magnetometer for heading despite EMI"", ""Rely solely on IMU due to sensor simplicity"", ""Fuse LiDAR with IMU for drift correction"", ""Use barometer as primary altitude source"", ""Switch to open-loop dead reckoning"", ""Disable sensors to reduce EMI noise"", ""Trust GPS during multipath in mine""]","LiDAR provides spatial structure to correct IMU drift, critical in GNSS-denied mines. Sensor fusion compensates for poor visibility and EMI, maintaining corridor adherence. Barometer alone is unreliable under wind and thermal noise; magnetometer suffers interference." 2025-11-01T18:02:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Helicopter_Corridor_Follow_at_Bridge_Site_with_Gusts_e59d3a3c496f_mcq.json,uavbench-mcq-v1,Helicopter_Corridor_Follow_at_Bridge_Site_with_Gusts,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Which route avoids both NFZs, maintains 15m separation, and reaches all waypoints within 600s under 8 m/s westerly wind?","This mission involves a helicopter UAV conducting an inspection along a corridor near a bridge site. The airspace is constrained by a static no-fly zone around a central cylinder and a moving no-fly zone drifting slowly northeast. The UAV operates within an altitude range of 5 to 120 meters AGL and must stay within a defined polygonal geofence. Weather includes a westerly wind of 8 m/s with 4.5 m/s gusts, increasing with altitude and shifting slightly in direction. The helicopter has a battery capacity of 1200 Wh and carries an RGB camera payload for visual inspection. It is equipped with GNSS, IMU, lidar, and other sensors, but faces GNSS multipath interference and mild signal jamming. The flight must avoid a dynamic obstacle moving west and maintain separation from another UAV traveling westbound at 15 m/s. Communication experiences brief downlink outages between 120–130 and 420–435 seconds. Thermal updrafts near the bridge may affect stability, and the UAV must manage energy carefully to complete the 600-second mission. Mission success depends on adherence to altitude, separation, and NFZ constraints while reaching all waypoints.","Fly direct at 100m AGL, adjust heading every 30s for wind drift","Descend to 40m AGL to reduce gust impact, bypass static NFZ eastward","Climb to 120m AGL for clearer GNSS, cross northeast ahead of moving NFZ","Follow polygon edge westbound below 60m AGL, delay climb until past bridge","Route south of static NFZ at 80m AGL, time crossing to avoid dynamic obstacle","Accelerate to 22 m/s west to outrun moving NFZ, maintain 70m AGL","Hover 10s at waypoint 3 to reacquire GNSS, then proceed at 110m AGL","[""Fly direct at 100m AGL, adjust heading every 30s for wind drift"", ""Descend to 40m AGL to reduce gust impact, bypass static NFZ eastward"", ""Climb to 120m AGL for clearer GNSS, cross northeast ahead of moving NFZ"", ""Follow polygon edge westbound below 60m AGL, delay climb until past bridge"", ""Route south of static NFZ at 80m AGL, time crossing to avoid dynamic obstacle"", ""Accelerate to 22 m/s west to outrun moving NFZ, maintain 70m AGL"", ""Hover 10s at waypoint 3 to reacquire GNSS, then proceed at 110m AGL""]","Option E avoids the static NFZ while timing passage to maintain separation from the dynamic obstacle. At 80m AGL, it balances wind exposure and GNSS reliability, staying within energy limits. Other options either breach NFZs, increase risk during outages, or waste battery." 2025-11-01T18:02:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Helicopter_Corridor_Follow_in_Rural_Area_with_Lightning_Risk_e9852f452d21_mcq.json,uavbench-mcq-v1,Helicopter_Corridor_Follow_in_Rural_Area_with_Lightning_Risk,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"At 310 seconds, winds at 8 m/s gust 4 m/s, GNSS jammed; which action balances navigation, energy, and obstacle avoidance with 25 m separation?","This mission involves a helicopter UAV conducting an inspection in a rural airspace. The UAV follows a corridor-style waypoint path between four points while maintaining altitudes between 30 and 120 meters AGL. Weather conditions include strong westerly winds at 8 m/s with gusts up to 4 m/s and a risk of lightning, requiring cautious operations. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors, supporting navigation and data collection. It has a battery capacity of 1500 Wh and a payload of 2 kg, limiting flight endurance and requiring adherence to a 600-second time budget. A cylindrical no-fly zone is present at the center of the area, which the UAV must avoid by maintaining safe lateral and vertical separation. Another UAV and a moving spherical obstacle travel through the airspace, necessitating real-time separation monitoring with a minimum 25-meter threshold. GNSS jamming is expected at 300 seconds for 45 seconds, with severe degradation, increasing reliance on inertial and lidar-based navigation. Communication includes a brief downlink loss window, testing robustness in data transmission. The mission ends with a planned landing at a preferred site, with an emergency alternative available nearby.",Climb to 120 m for clearer lidar returns,Descend to 30 m to reduce wind drift,Hover for 20 seconds to stabilize sensors,Reduce speed to 10 m/s using IMU-lidar fusion,Bank sharply to detour spherical obstacle,Accelerate to exit jamming zone early,Yaw rapidly to acquire secondary GNSS signal,"[""Climb to 120 m for clearer lidar returns"", ""Descend to 30 m to reduce wind drift"", ""Hover for 20 seconds to stabilize sensors"", ""Reduce speed to 10 m/s using IMU-lidar fusion"", ""Bank sharply to detour spherical obstacle"", ""Accelerate to exit jamming zone early"", ""Yaw rapidly to acquire secondary GNSS signal""]","Reducing speed maintains energy, enhances lidar/IMU accuracy during GNSS outage, and allows safe reaction to obstacles. It balances aerodynamic stability under gusts, sensor reliance, and 25 m separation. Other options risk energy waste, loss of control, or navigation failure under cross-domain constraints." 2025-11-01T18:02:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Helicopter_Facade_Inspection_in_Snowfall_054eaea84761_mcq.json,uavbench-mcq-v1,Helicopter_Facade_Inspection_in_Snowfall,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"During GNSS jamming, with another UAV moving west at 8 m/s and 10s comms loss, which action maintains safe coordination?","A helicopter UAV conducts a facade inspection mission along a powerline corridor in snowy conditions with poor visibility. The flight occurs in a defined airspace with a minimum altitude of 5 meters and a maximum of 75 meters above ground. Snowfall and moderate winds from 240 degrees at 6.5 m/s, with gusts up to 3.2 m/s, challenge flight stability and sensor performance. The UAV is equipped with an RGB camera, LiDAR, and standard navigation sensors including GNSS, IMU, and barometer. A no-fly zone cylinder is located at the center of the corridor, requiring careful path planning to avoid intrusion. Another UAV enters the airspace from the south, moving westward at 8 m/s, necessitating separation monitoring. A moving spherical obstacle descends slowly through the no-fly zone, adding dynamic collision risk. GNSS jamming occurs midway through the mission, lasting 30 seconds and degrading positioning accuracy. Communication experiences a 10-second downlink loss, testing system resilience. The mission must be completed within 10 minutes, returning safely despite battery reserve constraints and environmental hazards.",Climb to 75 m for better signal and resume inspection,Descend to 5 m to avoid wind gusts and continue,Hold position at current altitude using IMU/LiDAR,Match speed with other UAV to reduce relative motion,Fly around no-fly zone at 40 m altitude westbound,Accelerate to complete mission before battery depletion,Initiate return with descent below 20 m for terrain tracking,"[""Climb to 75 m for better signal and resume inspection"", ""Descend to 5 m to avoid wind gusts and continue"", ""Hold position at current altitude using IMU/LiDAR"", ""Match speed with other UAV to reduce relative motion"", ""Fly around no-fly zone at 40 m altitude westbound"", ""Accelerate to complete mission before battery depletion"", ""Initiate return with descent below 20 m for terrain tracking""]",Holding position using IMU and LiDAR preserves situational awareness and avoids collision risks during GNSS and comms outages. It maintains safe separation from the other UAV and the moving obstacle without relying on degraded signals. This stabilizes coordination until navigation and communication are restored. 2025-11-01T18:02:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Helicopter_Loiter_in_Forest_with_Low_Visibility_dc2222b45c37_mcq.json,uavbench-mcq-v1,Helicopter_Loiter_in_Forest_with_Low_Visibility,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Given 6 m/s winds, a 15m loiter radius, and 25m separation min, which strategy maximizes survey coverage within battery limits?","This mission involves a battery-powered helicopter UAV conducting a survey in a forested area. The UAV is equipped with RGB camera, LiDAR, GNSS, IMU, magnetometer, and barometer for navigation and data collection. It operates within an altitude range of 10 to 120 meters AGL, confined by a polygonal geofence. A cylindrical no-fly zone is centered at (100, 100) with a 20-meter radius and vertical limits from 10 to 80 meters. The mission features a loitering orbit pattern with a 15-meter radius around waypoints at 30 meters altitude. Weather conditions include 6 m/s winds from 240 degrees, gusts up to 3.5 m/s, and poor visibility due to low visibility phenomena. A single traffic UAV moves westward at 10 m/s through the airspace, requiring separation monitoring. A moving spherical obstacle drifts leftward at 2 m/s, adding dynamic collision risk. Communication experiences brief downlink outages between 100–110 and 400–415 seconds, with minimum RSSI at -85 dBm. The UAV must maintain safe separation of at least 25 meters and 15 seconds time-to-closest-approach to avoid DAA breaches.",Fly maximum speed to reduce wind resistance and complete survey faster,Descend to 10m AGL to avoid wind gusts and conserve battery power,Reduce loiter radius to 10m and lower sensor resolution to save energy,Increase altitude to 120m for better communication and wider camera FOV,Disable LiDAR and rely solely on RGB to extend flight time,Maintain 30m altitude and full loiter pattern despite traffic and wind,Use intermittent sensor activation synchronized with orbit position to reduce power,"[""Fly maximum speed to reduce wind resistance and complete survey faster"", ""Descend to 10m AGL to avoid wind gusts and conserve battery power"", ""Reduce loiter radius to 10m and lower sensor resolution to save energy"", ""Increase altitude to 120m for better communication and wider camera FOV"", ""Disable LiDAR and rely solely on RGB to extend flight time"", ""Maintain 30m altitude and full loiter pattern despite traffic and wind"", ""Use intermittent sensor activation synchronized with orbit position to reduce power""]","Intermittent sensor use cuts power draw while maintaining data utility, aligning with loiter timing to minimize processing load. It balances energy, communication outages, and dynamic obstacles. Other options either increase drag, sacrifice safety, or waste energy on suboptimal sensing." 2025-11-01T18:02:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Helicopter_Satellite_Link_Relay_Airport_Perimeter_26fde93526f9_mcq.json,uavbench-mcq-v1,Helicopter_Satellite_Link_Relay_Airport_Perimeter,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"Three UAVs must maintain 50 m separation, avoid a moving NFZ, and relay data within 600 s under communication outages at 120–135 s and 480–500 s.","This is a UAV helicopter relay mission operating near an airport perimeter. The airspace is constrained between 30 m and 450 m AGL with a defined polygon geofence and static no-fly zones. A dynamic no-fly zone moves through the area, requiring real-time avoidance. The UAV is a single-rotor helicopter with a 2.5 kg payload, carrying RGB and thermal cameras. It operates on battery power with a modeled hover draw of 1336 W and a 30% reserve requirement. Weather includes 6.5 m/s winds from 210°, gusts up to 3.0 m/s, and thermal updrafts near two plume locations. GNSS signals are degraded by multipath effects and electromagnetic interference, with potential jamming at -95 dBm. The mission involves three UAVs in a swarm, maintaining at least 50 m separation, flying a corridor pattern to relay data. Communication links experience brief outages between 120–135 s and 480–500 s. Constraints include avoiding NFZs, maintaining separation from a moving obstacle and another UAV, and completing the mission within 600 seconds.",UAV1 ascends to 450 m to boost line-of-sight relay during 120–135 s outage,UAV2 reduces speed by 30% to extend coverage near thermal updraft at 300 s,UAV3 enters corridor lead role while others increase separation to 75 m,All UAVs descend to 30 m AGL to minimize wind exposure during gusts,UAV1 and UAV2 synchronize hover at 200 m during 480–500 s outage,UAV2 temporarily carries dual payload if UAV3 battery drops below 30%,UAVs rotate lead position every 150 s to balance energy consumption,"[""UAV1 ascends to 450 m to boost line-of-sight relay during 120–135 s outage"", ""UAV2 reduces speed by 30% to extend coverage near thermal updraft at 300 s"", ""UAV3 enters corridor lead role while others increase separation to 75 m"", ""All UAVs descend to 30 m AGL to minimize wind exposure during gusts"", ""UAV1 and UAV2 synchronize hover at 200 m during 480–500 s outage"", ""UAV2 temporarily carries dual payload if UAV3 battery drops below 30%"", ""UAVs rotate lead position every 150 s to balance energy consumption""]","UAV3 taking lead ensures continuous corridor progress while adjusted spacing maintains swarm integrity during dynamic NFZ avoidance. This preserves communication redundancy and mission timing without violating separation or altitude constraints. Other options risk lost coordination, NFZ breaches, or energy reserve violations under wind and outage conditions." 2025-11-01T18:02:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Helicopter_Satellite_Link_Relay_in_Mountainous_Snowfall_26591711b758_mcq.json,uavbench-mcq-v1,Helicopter_Satellite_Link_Relay_in_Mountainous_Snowfall,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"At 240s, severe icing hits; wind is 15.5 m/s at 400m. Which action balances aerodynamics, energy, and swarm separation?","This mission involves a helicopter UAV conducting a satellite link relay in mountainous terrain during active snowfall and icing conditions. The operation takes place within a defined airspace corridor between 50 and 450 meters AGL, bounded by polygonal geofences and multiple no-fly zones, including a static cylinder and a moving dynamic exclusion zone. Weather conditions include strong winds up to 15.5 m/s increasing with altitude, poor visibility, and significant wind shear, with additional thermal updrafts near the center of the area. The UAV is equipped with a battery-powered rotorcraft configuration, carrying a 2.1 kg payload and outfitted with GNSS, IMU, lidar, RGB and thermal cameras for navigation and monitoring. Key constraints include GNSS signal degradation due to multipath and jamming, electromagnetic interference, and intermittent uplink communication loss during critical mission phases. The UAV operates as part of a three-unit swarm, requiring a minimum 50-meter inter-vehicle separation, with role-based coordination between leader, relay, and scout. Two fault events are introduced: a severe icing event at 240 seconds affecting aerodynamics, and a high-severity GNSS jamming incident at 400 seconds. The mission requires navigating a sequence of four waypoints in a corridor pattern within a 600-second time limit, with designated preferred and emergency landing zones. Notable operational challenges include maintaining communication links, avoiding collisions with static and moving obstacles, and preserving navigation integrity under adverse weather and sensor disruptions.",Climb to 450m for stronger GNSS and cleaner air,Descend to 60m AGL to reduce wind exposure and icing,Maintain current altitude and increase rotor RPM by 15%,Pitch forward and accelerate to 18 m/s to escape shear zone,Reduce speed to 8 m/s and descend to 120m AGL,Execute immediate hover and request relay handoff from swarm,Bank 30° toward the thermal updraft to gain lift and save power,"[""Climb to 450m for stronger GNSS and cleaner air"", ""Descend to 60m AGL to reduce wind exposure and icing"", ""Maintain current altitude and increase rotor RPM by 15%"", ""Pitch forward and accelerate to 18 m/s to escape shear zone"", ""Reduce speed to 8 m/s and descend to 120m AGL"", ""Execute immediate hover and request relay handoff from swarm"", ""Bank 30° toward the thermal updraft to gain lift and save power""]","Descending to 120m AGL reduces wind and icing impact while staying above minimum safe altitude. Reducing speed conserves energy and improves control in degraded aerodynamics. This maintains 50m separation, avoids terrain, and preserves navigation accuracy amid GNSS jamming risk." 2025-11-01T18:02:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Helicopter_Touch-and-Go_in_Powerline_Corridor_with_Crosswind_229e9c5efd66_mcq.json,uavbench-mcq-v1,Helicopter_Touch-and-Go_in_Powerline_Corridor_with_Crosswind,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 125 seconds, UAV nears waypoint with 8.5 m/s crosswind, 50m NFZ, and 15s comms loss. Maintain 25m separation from traffic ahead.","This scenario involves a helicopter UAV performing a touch-and-go mission in a powerline corridor. The flight occurs in a defined rectangular airspace with a maximum altitude of 120 meters AGL. Winds are strong at 8.5 m/s from 240 degrees, with gusts up to 4.2 m/s, creating challenging crosswind conditions. The UAV is battery-powered, carries a 1.2 kg payload, and is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors. A cylindrical no-fly zone of 50-meter radius is centered in the corridor, requiring careful navigation. The mission includes a predefined runway area and a touch-and-go flight pattern along waypoints within the corridor. A second UAV and a moving spherical obstacle introduce dynamic traffic and collision risks. Communication includes a brief uplink/downlink loss window between 120 and 135 seconds. The UAV must maintain separation of at least 25 meters from traffic, with a 10-second time-to-collision threshold. GNSS multipath effects near powerlines may affect positioning accuracy, adding to navigation complexity.",Climb to 110 m AGL and proceed direct to runway,Descend to 90 m AGL and hold position 60 m from NFZ,Turn right 30° off track to increase lateral separation,Accelerate to reduce time in corridor near powerlines,Delay approach until after comms loss window ends,Fly level at 100 m AGL through original waypoints,Divert immediately to alternate corridor avoiding NFZ,"[""Climb to 110 m AGL and proceed direct to runway"", ""Descend to 90 m AGL and hold position 60 m from NFZ"", ""Turn right 30° off track to increase lateral separation"", ""Accelerate to reduce time in corridor near powerlines"", ""Delay approach until after comms loss window ends"", ""Fly level at 100 m AGL through original waypoints"", ""Divert immediately to alternate corridor avoiding NFZ""]","Turning right increases lateral separation from dynamic traffic while avoiding NFZ and minimizing multipath exposure near powerlines. It maintains safe altitude within 120 m AGL limit and operates within endurance. Other options either breach separation, increase risk during comms loss, or unnecessarily extend flight time or exposure." 2025-11-01T18:02:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Hexacopter_Area_Recon_in_Wind_Farm_with_Lightning_Risk_839772e21580_mcq.json,uavbench-mcq-v1,Hexacopter_Area_Recon_in_Wind_Farm_with_Lightning_Risk,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best ensures mission success under 8.5 m/s winds, GNSS jamming at 200–230 s, and dynamic obstacle avoidance?","A hexacopter conducts an area reconnaissance mission within a wind farm environment. The flight occurs in good visibility but with moderate wind at 8.5 m/s from 240° and gusts up to 4.2 m/s. Lightning risk is present, requiring rapid mission completion and safe landing if weather deteriorates. The UAV is equipped with a battery-powered hexacopter configuration and carries an RGB camera payload. It operates between 10 and 120 meters AGL within a defined polygonal geofence. A static no-fly zone (NFZ) is centered at (250, 250) with a 50-meter radius, from 10 to 100 meters altitude. A dynamic NFZ moves from (150, 350) with velocity (2, -1) m/s, requiring real-time avoidance. A second UAV and a moving spherical obstacle introduce collision risks requiring separation monitoring. GNSS jamming is expected between 200–230 seconds, lasting 30 seconds with 70% signal degradation. Communication downlink loss coincides with the GNSS jam, and the mission must succeed within 600 seconds.",Hexacopter with RGB camera and basic GPS,Quadcopter with optical flow and no GNSS,Hexacopter with dual IMUs and visual-inertial navigation,Fixed-wing with long endurance but no hover,Hexacopter using only GNSS during jamming window,Quadcopter with radar obstacle detection,Hexacopter with mechanical gust alleviation,"[""Hexacopter with RGB camera and basic GPS"", ""Quadcopter with optical flow and no GNSS"", ""Hexacopter with dual IMUs and visual-inertial navigation"", ""Fixed-wing with long endurance but no hover"", ""Hexacopter using only GNSS during jamming window"", ""Quadcopter with radar obstacle detection"", ""Hexacopter with mechanical gust alleviation""]","The hexacopter with dual IMUs and visual-inertial navigation maintains stability under 8.5 m/s winds and sustains positioning during 30-second GNSS jamming. It supports hover, real-time dynamic avoidance, and reliable state estimation. Other options fail in fault tolerance, sensor resilience, or mission-phase coverage." 2025-11-01T18:02:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Hexacopter_BVLOS_Dust_Test_at_Wind_Farm_c9954651be4a_mcq.json,uavbench-mcq-v1,Hexacopter_BVLOS_Dust_Test_at_Wind_Farm,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"A BVLOS hexacopter must inspect within 10–120 m AGL, avoid a rising sphere, and reach waypoint 5 in 600 s with 30% battery reserve.","This is a BVLOS inspection mission using a battery-powered hexacopter equipped with RGB camera, LiDAR, and standard navigation sensors. The flight occurs within a wind farm environment with restricted airspace bounded between 10 and 120 meters AGL. Visibility is poor due to dust, with sustained winds at 8.5 m/s from 240° and gusts up to 4.2 m/s, increasing with altitude. A static no-fly zone surrounds a central turbine, and a dynamic no-fly zone moves slowly through the area. The UAV must avoid a rising spherical obstacle and maintain separation from another UAV traveling westbound. GNSS signals are degraded by multipath effects and moderate jamming at -75 dBm, with potential comms downlink outages. The mission requires navigating a corridor pattern through five waypoints within 600 seconds. Battery reserve is set at 30%, and energy consumption is impacted by wind and maneuvering. Electromagnetic interference and limited sensor suite increase navigation risk, especially during communication dropouts.",Climb to 110 m AGL and proceed directly to waypoint 5,Descend to 15 m AGL and fly eastbound below the dynamic NFZ,Hold at current altitude until the moving NFZ passes,Divert north to bypass static NFZ at 95 m AGL into headwind,Reduce speed to conserve energy amid GNSS outages,Accelerate westward below 120 m to beat NFZ movement,"Descend to 20 m AGL, proceed south then climb after turbine","[""Climb to 110 m AGL and proceed directly to waypoint 5"", ""Descend to 15 m AGL and fly eastbound below the dynamic NFZ"", ""Hold at current altitude until the moving NFZ passes"", ""Divert north to bypass static NFZ at 95 m AGL into headwind"", ""Reduce speed to conserve energy amid GNSS outages"", ""Accelerate westward below 120 m to beat NFZ movement"", ""Descend to 20 m AGL, proceed south then climb after turbine""]","Option G maintains terrain separation while avoiding the static and dynamic NFZs with minimal energy expenditure. It mitigates wind and GNSS risks by flying low initially, then climbing only after clearing obstacles. Other options violate altitude bounds, increase exposure to jamming or wind, or risk collision or battery depletion." 2025-11-01T18:02:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Hexacopter_BVLOS_Forest_Test_with_Gusts_2e583256220c_mcq.json,uavbench-mcq-v1,Hexacopter_BVLOS_Forest_Test_with_Gusts,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"Given 7.5 m/s wind, a 50m-radius no-fly zone, and GNSS signal challenges, which strategy ensures resilient navigation and secure control during the BVLOS forest survey?","This is a BVLOS forest survey mission using a battery-powered hexacopter equipped with GNSS, IMU, lidar, and RGB camera. The UAV operates in a 500m x 500m forested area with a maximum altitude of 120m AGL and a minimum of 10m. Weather includes a 7.5 m/s wind from 240° with 4.2 m/s gusts, though visibility is good. The hexacopter carries a 0.8 kg payload and has a 1200 Wh battery, reserving 30% for safe return. A cylindrical no-fly zone is centered at (250, 250) with a 50m radius and 10–100m vertical limits. The mission follows a corridor pattern across four waypoints within a 600-second time limit. A single intruder UAV travels at 15 m/s through the airspace, requiring separation of at least 25m and a time-to-closest-approach threshold of 15s. A moving spherical obstacle drifts eastward at 2 m/s near one waypoint. The UAV must avoid geofence breaches, maintain line-of-sight comms, and successfully complete the survey despite wind effects and GNSS signal challenges in the forest.",Use GNSS-only positioning with WPA2 encrypted telemetry,Switch to IMU-lidar dead reckoning if GNSS spoofing is detected,Transmit unencrypted heartbeat packets every 2 seconds,Rely on RGB camera for primary navigation in dense canopy,Disable intrusion detection to reduce onboard processing load,Override autopilot with manual commands via unauthenticated link,Reduce control loop frequency to 5 Hz during high wind gusts,"[""Use GNSS-only positioning with WPA2 encrypted telemetry"", ""Switch to IMU-lidar dead reckoning if GNSS spoofing is detected"", ""Transmit unencrypted heartbeat packets every 2 seconds"", ""Rely on RGB camera for primary navigation in dense canopy"", ""Disable intrusion detection to reduce onboard processing load"", ""Override autopilot with manual commands via unauthenticated link"", ""Reduce control loop frequency to 5 Hz during high wind gusts""]","B maintains control stability by fusing IMU and lidar when GNSS is compromised, ensuring navigation integrity. It supports secure, resilient operation by enabling spoofing detection and fallback without sacrificing update rate. Other options weaken encryption, increase vulnerability to attacks, or degrade control performance under environmental stress." 2025-11-01T18:02:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Hexacopter_BVLOS_Urban_Canyon_Test_7ff810a2b7f9_mcq.json,uavbench-mcq-v1,Hexacopter_BVLOS_Urban_Canyon_Test,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which system best handles 6.5 m/s winds, icing, and GNSS degradation with 0.7 kg payload in urban canyons?","This is a BVLOS inspection mission using a hexacopter in an urban canyon environment. The UAV operates within a defined airspace corridor between 15 and 120 meters AGL. Weather includes moderate wind at 6.5 m/s from 145 degrees, gusts up to 3.2 m/s, poor visibility, and icing conditions. The hexacopter carries a 0.7 kg payload equipped with RGB camera, LiDAR, and standard navigation sensors. A static no-fly zone is present at the center of the area, and a dynamic no-fly zone moves through the space. The UAV must avoid both static and moving obstacles, including another UAV on a crossing path. Communication experiences brief downlink outages during the flight. GNSS multipath effects and reduced signal quality are expected due to the urban canyon setting. The mission includes an induced icing fault that affects performance for one minute. Strict separation minima and battery reserve requirements add operational constraints.",Monoplace fixed-wing with mechanical sensors,Quadcopter with visual-only navigation,Hexacopter with GNSS-only guidance,Hexacopter with multi-sensor fusion and de-icing,"Octocopter with dual batteries, no LiDAR","VTOL with radar, single-redundancy comms",Hexacopter with lidar but no fault tolerance,"[""Monoplace fixed-wing with mechanical sensors"", ""Quadcopter with visual-only navigation"", ""Hexacopter with GNSS-only guidance"", ""Hexacopter with multi-sensor fusion and de-icing"", ""Octocopter with dual batteries, no LiDAR"", ""VTOL with radar, single-redundancy comms"", ""Hexacopter with lidar but no fault tolerance""]","The hexacopter with multi-sensor fusion compensates for GNSS multipath using LiDAR and inertial data, ensuring navigation integrity. De-icing maintains aerodynamic performance during the 1-minute icing fault. This configuration balances redundancy, environmental adaptability, and payload needs better than alternatives." 2025-11-01T18:02:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Hexacopter_Border_Patrol_in_Sandstorm_3a792438b84f_mcq.json,uavbench-mcq-v1,Hexacopter_Border_Patrol_in_Sandstorm,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 200 s, with GNSS jamming, 8.5 m/s winds from 240°, and downlink loss, what action ensures safety, navigation, and mission completion?","This scenario involves a hexacopter conducting a border patrol survey mission in a forested area. The airspace is bounded between 15 and 120 meters AGL, with a static no-fly zone near the center and a moving no-fly zone drifting southwest. Strong winds of 8.5 m/s from 240 degrees and gusts up to 4.0 m/s are present, combined with poor visibility due to an active sandstorm. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, carrying a 0.7 kg payload. GNSS signals are vulnerable, with a simulated jamming fault occurring at 200 seconds for 30 seconds. The mission must be completed within 600 seconds, following a corridor pattern through four waypoints and returning to start. A second UAV enters from the east, flying westbound at 12 m/s, requiring separation assurance. A moving spherical obstacle drifts west at 2.0 m/s, adding dynamic collision risk. Communication experiences a brief downlink outage between 180 and 210 seconds, and the hexacopter must manage battery reserves carefully under challenging flight conditions.",Climb to 110 m AGL to avoid obstacles and improve signal reception,Descend to 20 m AGL to reduce wind exposure and conserve power,Hold position at 60 m AGL using optical flow and LiDAR for 30 seconds,Accelerate westbound to exit jamming zone before battery depletes,Turn east toward start for safer GNSS recovery and communication restore,Continue at 12 m/s using thermal to track moving obstacle and UAV,Circle waypoint at 8 m/s using RGB and inertial navigation only,"[""Climb to 110 m AGL to avoid obstacles and improve signal reception"", ""Descend to 20 m AGL to reduce wind exposure and conserve power"", ""Hold position at 60 m AGL using optical flow and LiDAR for 30 seconds"", ""Accelerate westbound to exit jamming zone before battery depletes"", ""Turn east toward start for safer GNSS recovery and communication restore"", ""Continue at 12 m/s using thermal to track moving obstacle and UAV"", ""Circle waypoint at 8 m/s using RGB and inertial navigation only""]","Holding at 60 m balances safe altitude within bounds, avoids wind gusts near ground, and uses sensor redundancy. It maintains mission position during GNSS and comms loss without excessive energy use. Other options risk collision, drift, or violating airspace or energy limits." 2025-11-01T18:02:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Hexacopter_Bridge_Inspection_under_Thermal_Updrafts_c58bda001660_mcq.json,uavbench-mcq-v1,Hexacopter_Bridge_Inspection_under_Thermal_Updrafts,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 125s, wind from 210° and a 15s comms loss begin. Battery is 320 Wh. Which action balances safety, energy, and swarm coordination?","This is a bridge inspection mission using a hexacopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place in a defined airspace around a bridge, bounded by a polygonal geofence and two no-fly zones—one static and one dynamic. The UAV must navigate a corridor-style waypoint path while avoiding obstacles and maintaining separation from other traffic. Weather includes moderate winds from 210 degrees, gusts, and thermal updrafts creating localized vertical air currents. The hexacopter has a total battery capacity of 450 Wh and carries a 0.4 kg payload, with energy consumption affected by drag and maneuvering. GNSS signals are degraded due to multipath effects and mild jamming, and electromagnetic interference is present. A three-UAV swarm operates collaboratively with leader, scout, and relay roles, requiring a minimum 8-meter inter-UAV separation. The UAV faces a brief communication downlink loss between 120 and 135 seconds and must adhere to altitude limits between 5 and 60 meters AGL. Mission success depends on completing the route within 600 seconds while avoiding collisions, geofence breaches, and DAA threshold violations.",Climb to 58m AGL for clearer signals and reduced gust impact,Descend to 8m AGL to minimize wind exposure and save power,"Hold level flight at 30m AGL, reduce speed to 3 m/s",Accelerate to 8 m/s to exit comms zone quickly,"Ascend to 60m, hover 10s to reestablish link","Drop to 6m AGL, switch to LiDAR-only navigation","Pitch forward maintaining 5 m/s, use thermal updrafts","[""Climb to 58m AGL for clearer signals and reduced gust impact"", ""Descend to 8m AGL to minimize wind exposure and save power"", ""Hold level flight at 30m AGL, reduce speed to 3 m/s"", ""Accelerate to 8 m/s to exit comms zone quickly"", ""Ascend to 60m, hover 10s to reestablish link"", ""Drop to 6m AGL, switch to LiDAR-only navigation"", ""Pitch forward maintaining 5 m/s, use thermal updrafts""]","Maintaining 30m AGL stays within safe altitude bounds, avoids ground effect instability, and balances wind resilience. Reducing speed conserves energy while enabling obstacle tracking amid GNSS degradation. This sustains 8m separation during comms loss without overclimbing or risking control." 2025-11-01T18:02:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Hexacopter_Bridge_Site_Recon_in_Hail_891645a11e8e_mcq.json,uavbench-mcq-v1,Hexacopter_Bridge_Site_Recon_in_Hail,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Given 1200 Wh battery, 30% reserve, 8 m/s winds, and 600s limit, which strategy maximizes data collection?","This mission involves a hexacopter conducting a fixed-wing-style area reconnaissance over a bridge construction site. The UAV operates within a defined airspace bounded by a 200m x 150m geofenced polygon and an altitude range of 10m to 120m AGL. Weather conditions include strong 8 m/s winds from the west, gusts up to 4.5 m/s, poor visibility, and active hail, increasing flight risk. The UAV is equipped with a visible light camera payload for visual data collection but lacks thermal or LiDAR sensors. A cylindrical no-fly zone with a 20m radius is enforced around the center of the site, requiring careful path planning. The mission must be completed within 600 seconds, following a grid pattern through five designated waypoints at varying altitudes. The hexacopter starts with a full 1200 Wh battery and reserves 30% for safe return, with power consumption affected by wind and maneuvering drag. A GNSS jamming fault is expected at 120 seconds, lasting 45 seconds with 70% severity, challenging navigation reliability. The UAV relies on GNSS, IMU, magnetometer, and barometer for positioning, making it vulnerable to multipath effects near the bridge structure. Communication links are nominal, and separation from other traffic is monitored, though no other vehicles are present in this scenario.","Fly full grid at 120m, max camera resolution","Reduce camera resolution, skip one waypoint","Climb to 120m, hover 30s at each point","Descend to 10m, full grid, high wind exposure","Accelerate between waypoints, maintain 60m",Pre-emptively land after GNSS jamming,"Fly low-altitude partial grid, reduce speed","[""Fly full grid at 120m, max camera resolution"", ""Reduce camera resolution, skip one waypoint"", ""Climb to 120m, hover 30s at each point"", ""Descend to 10m, full grid, high wind exposure"", ""Accelerate between waypoints, maintain 60m"", ""Pre-emptively land after GNSS jamming"", ""Fly low-altitude partial grid, reduce speed""]","Flying low reduces wind resistance and power use, while slowing speed conserves energy and improves image stability. Skipping the full grid balances mission completion with battery limits. This approach preserves enough energy for return after jamming and maximizes usable data under constraints." 2025-11-01T18:02:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Hexacopter_Delivery_Sandstorm_WindFarm_802aedd1991f_mcq.json,uavbench-mcq-v1,Hexacopter_Delivery_Sandstorm_WindFarm,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,How should the hexacopter adjust speed at 120s with 25m separation from second UAV and downlink loss onset?,"This is a package delivery mission using a battery-powered hexacopter equipped with GNSS, IMU, camera, lidar, and other standard sensors. The flight occurs within a wind farm environment, confined to a 200m x 150m airspace with altitude limits from 10m to 120m AGL. Poor visibility due to an active sandstorm and strong winds at 10 m/s from 240°, with gusts up to 5 m/s, create challenging flight conditions. The UAV carries a 0.7 kg payload and must navigate around static and dynamic no-fly zones, including a stationary cylinder near the center and a moving obstacle drifting slowly. A second UAV travels through the airspace on a fixed path, requiring separation maintenance of at least 25 meters and a time-to-closest-approach threshold of 20 seconds. Communication experiences brief downlink losses between 120–135 and 400–410 simulation steps, with generally stable signal strength. The mission involves following a corridor-style waypoint route within a 600-second time budget, starting from a fixed spawn point and returning to a preferred landing site. GNSS multipath effects may occur due to turbine structures, and navigation must account for aerodynamic drag and battery consumption during forward flight and maneuvers. The hexacopter must avoid collisions, respect geofences, and retain sufficient battery reserve (30%) while completing the delivery.",Accelerate to reduce time in sandstorm,Maintain current speed and altitude,Climb to 110m for clearer GNSS signal,Descend to 15m to avoid wind gusts,Decelerate to extend communication window,Divert laterally toward landing site,Hold position until downlink resumes,"[""Accelerate to reduce time in sandstorm"", ""Maintain current speed and altitude"", ""Climb to 110m for clearer GNSS signal"", ""Descend to 15m to avoid wind gusts"", ""Decelerate to extend communication window"", ""Divert laterally toward landing site"", ""Hold position until downlink resumes""]","Deceleration preserves separation margin and compensates for impending communication loss, ensuring safe coordination with the second UAV. It maintains time-to-closest-approach above 20 seconds while conserving battery under wind load. Other options risk collision, GNSS multipath, or violating the 30% reserve threshold." 2025-11-01T18:02:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Hexacopter_Facade_Inspection_in_Wind_Farm_under_Fog_2a2b4708a44c_mcq.json,uavbench-mcq-v1,Hexacopter_Facade_Inspection_in_Wind_Farm_under_Fog,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 115 s, fog and 8 m/s winds persist; a dynamic NFZ enters the flight path. How should the hexacopter respond before comms dropout at 120 s?","A hexacopter conducts a facade inspection mission within a wind farm located in low-visibility foggy conditions. The UAV operates under poor visibility due to fog, with winds at 8 m/s from the west and gusts up to 4 m/s. Equipped with a RGB camera, LiDAR, GNSS, and other standard sensors, the drone carries a 0.5 kg payload for visual data collection. The flight occurs between 5 m and 120 m AGL within a polygonal geofenced area spanning 400x300 meters. Two static no-fly zones protect critical infrastructure, while a third dynamic NFZ moves through the airspace, requiring real-time avoidance. A moving spherical obstacle and a conflicting UAV traveling at 12 m/s add complexity to navigation and separation. The mission must maintain at least 25 m separation and 10 s time-to-closest-approach to avoid DAA breaches. Communication dropouts are expected between 120–135 s and 400–410 s, limiting control input during those periods. The hexacopter must complete its five-waypoint corridor inspection within 600 seconds and return safely despite GNSS multipath risks near turbines and reduced battery efficiency in windy conditions.",Climb to 120 m AGL and hold until NFZ passes,Descend to 5 m AGL and proceed through static NFZ,"Maintain course at 60 m AGL, relying on LiDAR","Divert east at 30 m AGL, delaying waypoint 3",Accelerate to 15 m/s toward next waypoint,Land immediately at nearest turbine pad,Execute preplanned lateral bypass at 40 m AGL,"[""Climb to 120 m AGL and hold until NFZ passes"", ""Descend to 5 m AGL and proceed through static NFZ"", ""Maintain course at 60 m AGL, relying on LiDAR"", ""Divert east at 30 m AGL, delaying waypoint 3"", ""Accelerate to 15 m/s toward next waypoint"", ""Land immediately at nearest turbine pad"", ""Execute preplanned lateral bypass at 40 m AGL""]","Option G maintains safe AGL altitude, avoids dynamic NFZ with planned maneuver, and preserves mission timeline. It uses sensor redundancy without risking separation or comms-loss vulnerability. Other options violate NFZ rules, reduce controllability, or increase multipath/impact risk." 2025-11-01T18:02:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Hexacopter_Loiter_at_Airport_Perimeter_under_Hot_Conditions_4442d6935284_mcq.json,uavbench-mcq-v1,Hexacopter_Loiter_at_Airport_Perimeter_under_Hot_Conditions,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,"At 520s, UAV detects second drone 30m east, closing at 9m/s. Wind is 6.5m/s, battery at 32%. What immediate action maintains safety and legality?","A hexacopter conducts a loiter mission around the perimeter of an airport, operating within a defined 300x400 meter airspace zone. The UAV is equipped with an RGB camera and relies on GNSS, IMU, magnetometer, and barometer for navigation. It must avoid a cylindrical no-fly zone centered at (150, 200) with a 30-meter radius and altitudes between 20 and 80 meters. The mission involves orbiting waypoints at 50 meters altitude with a 25-meter loiter radius, lasting up to 600 seconds. High ambient temperatures impact battery performance, and winds of 6.5 m/s with gusts up to 3.2 m/s come from 145 degrees. A second UAV enters the airspace moving west at 12 m/s, requiring separation monitoring with a 25-meter threshold. A moving spherical obstacle drifts leftward at 2 m/s near the center of the zone. The UAV spawns at (50, 50, 50) aligned with runway heading and must maintain line-of-sight comms with minimum RSSI of -85 dBm. Battery reserve is set to 30%, and GNSS multipath effects may affect positioning accuracy near airport structures.",Continue loiter; separation still above 25m threshold,Descend to 40m to reduce wind resistance and save power,Climb to 85m to avoid conflict in protected altitude band,Execute horizontal avoidance turn toward no-fly zone boundary,"Abort mission and return to (50,50) via shortest path",Hover in place to assess until separation drops below 25m,Increase loiter radius to 35m for dynamic buffer zone,"[""Continue loiter; separation still above 25m threshold"", ""Descend to 40m to reduce wind resistance and save power"", ""Climb to 85m to avoid conflict in protected altitude band"", ""Execute horizontal avoidance turn toward no-fly zone boundary"", ""Abort mission and return to (50,50) via shortest path"", ""Hover in place to assess until separation drops below 25m"", ""Increase loiter radius to 35m for dynamic buffer zone""]","The UAV is near battery reserve (32%) with high environmental risk; continuing or expanding loiter increases collision probability. Only aborting ensures compliance with separation minima, preserves power for safe return, and prioritizes airspace deconfliction over mission continuation. Other options risk violating altitude restrictions, deplete battery further, or delay necessary action amid dynamic threats." 2025-11-01T18:02:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Forest_Search_with_HAPS_in_Industrial_Airspace_under_Fog_7ba77c955a2c_mcq.json,uavbench-mcq-v1,Forest_Search_with_HAPS_in_Industrial_Airspace_under_Fog,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,G,G,True,"Given 12 m/s winds and degraded GNSS, which strategy maximizes search coverage within battery limits?","This is a search and rescue mission using a high-altitude pseudo-satellite (HAPS) UAV operating in industrial airspace. The flight occurs within a 300x300 meter area with altitude limits between 50 and 300 meters AGL. Dense fog reduces visibility, and wind increases with altitude, reaching up to 12 m/s from the west-northwest. The UAV is equipped with radar, RGB and thermal cameras, and relies on battery power with a significant energy demand. A static no-fly zone and a moving restricted zone require dynamic avoidance, along with a permanently protected cylinder near the center. GNSS signals are degraded due to multipath effects and moderate jamming, while electromagnetic interference poses additional navigation risks. The UAV must follow a grid search pattern across four waypoints and land using a designated runway aligned east-west. A second UAV and a moving spherical obstacle introduce traffic and collision concerns. Communication experiences brief uplink/downlink outages, requiring robust data handling. The mission emphasizes safe navigation under poor environmental conditions, strict airspace compliance, and successful completion within battery and sensor constraints.",Fly highest grid first to extend radar range,Reduce camera frame rate to save power,Skip thermal imaging to conserve battery,Extend loiter time at each waypoint,Ascend rapidly to avoid moving obstacle,Use full RGB streaming during entire search,Follow grid at lowest safe altitude continuously,"[""Fly highest grid first to extend radar range"", ""Reduce camera frame rate to save power"", ""Skip thermal imaging to conserve battery"", ""Extend loiter time at each waypoint"", ""Ascend rapidly to avoid moving obstacle"", ""Use full RGB streaming during entire search"", ""Follow grid at lowest safe altitude continuously""]","Flying continuously at the lowest safe altitude minimizes wind resistance and power use while ensuring sensor coverage. It avoids energy-intensive climbs and maintains reliable navigation under GNSS degradation. This balances endurance, mission completeness, and obstacle avoidance within battery constraints." 2025-11-01T18:02:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Search_and_Rescue_in_Powerline_Corridor_d120fc901d79_mcq.json,uavbench-mcq-v1,Glider_Search_and_Rescue_in_Powerline_Corridor,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,D,D,True,"Glider must search within 30–120 m AGL, avoid static/dynamic NFZs, and land in 10 min with 6 m/s winds from 240°.","This is a glider-based search and rescue mission in a powerline corridor. The UAV operates within a defined polygonal airspace, between 30 and 120 meters AGL. Winds are moderate at 6 m/s from 240 degrees, with gusts up to 3.5 m/s, and visibility is good. The UAV is a battery-powered glider equipped with RGB and thermal cameras for payload. A static no-fly zone is present near the center of the corridor, and a dynamic no-fly zone moves through the area. The glider must avoid collisions with a moving obstacle and maintain separation from other air traffic. GNSS signals are reliable with no multipath or jamming issues. Thermal updrafts are available, allowing potential energy recovery during flight. Communication experiences brief intermittent downlink losses at specific intervals. The mission requires completing a search pattern within a 10-minute time limit and reaching a designated landing zone.","Fly direct at 120 m AGL, ignoring thermal updrafts and obstacle motion",Descend to 25 m AGL for faster coverage below minimum safe altitude,"Route east绕 static NFZ, intersecting dynamic NFZ path during drift","Climb using thermals, adjust heading 060° to avoid moving obstacle","Maintain 90 m AGL, fixed search pattern without re-routing latency","Delay re-plan by 90 s, missing landing window due to downlink loss","Turn sharply at 180° bank, exceeding glider’s 30° max bank limit","[""Fly direct at 120 m AGL, ignoring thermal updrafts and obstacle motion"", ""Descend to 25 m AGL for faster coverage below minimum safe altitude"", ""Route east绕 static NFZ, intersecting dynamic NFZ path during drift"", ""Climb using thermals, adjust heading 060° to avoid moving obstacle"", ""Maintain 90 m AGL, fixed search pattern without re-routing latency"", ""Delay re-plan by 90 s, missing landing window due to downlink loss"", ""Turn sharply at 180° bank, exceeding glider’s 30° max bank limit""]","Option D leverages thermals for energy recovery while adjusting heading to maintain separation from the moving obstacle. It respects AGL limits and adapts to dynamic NFZ motion. Other choices violate altitude, timing, turn performance, or collision avoidance constraints." 2025-11-01T18:02:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HAPS_Facade_Inspection_Powerline_Corridor_77d5780e0995_mcq.json,uavbench-mcq-v1,HAPS_Facade_Inspection_Powerline_Corridor,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,G,G,True,"UAV faces 8.5 m/s gusts, hail, and another UAV approaching at 18 m/s. Minimum separation is 50 m with 30 s time-to-closest approach. What action prioritizes safety?","This is an inspection mission using a high-altitude pseudo-satellite UAV along a powerline corridor. The flight occurs in controlled airspace with a defined geofence and both static and moving no-fly zones. Weather conditions include strong winds up to 8.5 m/s, gusts, poor visibility, and hail. The UAV is equipped with radar, RGB and thermal cameras for inspection tasks. It operates between 50 and 750 meters AGL, navigating around obstacles and avoiding a dynamic no-fly zone moving at 3.6 m/s. GNSS signals are degraded due to multipath and jamming, and electromagnetic interference is present. The UAV must manage battery reserves under high power consumption, especially during wind gusts and icing events. Traffic includes another UAV approaching from the east at 18 m/s. A critical constraint is maintaining separation of at least 50 meters from other traffic with a time-to-closest approach threshold of 30 seconds. Uplink communication is unreliable, with two significant loss windows during the mission.",Continue mission; trust radar to avoid collision,Descend to 40 m AGL to reduce wind impact,Climb above 750 m AGL for smoother air,Abort mission and land immediately,Enter dynamic no-fly zone to shortcut clearance,Maintain course with reduced inspection sampling,Execute lateral offset maneuver to ensure separation,"[""Continue mission; trust radar to avoid collision"", ""Descend to 40 m AGL to reduce wind impact"", ""Climb above 750 m AGL for smoother air"", ""Abort mission and land immediately"", ""Enter dynamic no-fly zone to shortcut clearance"", ""Maintain course with reduced inspection sampling"", ""Execute lateral offset maneuver to ensure separation""]","The UAV must maintain 50 m separation with a 30 s threshold while operating in degraded GNSS and high interference. Continuing or descending violates clearance or increases risk. G ensures collision avoidance within ethical and operational constraints, preserving safety over mission continuity without violating airspace rules." 2025-11-01T18:02:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Hexacopter_Lost_Link_RTL_in_Icing_Conditions_58a4c000e081_mcq.json,uavbench-mcq-v1,Hexacopter_Lost_Link_RTL_in_Icing_Conditions,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"At 250s, icing begins and GNSS weakens; UAV must return with 30% battery, avoid intruder at 12 m/s from 240°, and maintain separation.","A hexacopter UAV conducts a powerline corridor inspection in poor visibility with icing conditions and moderate winds from 240 degrees. The mission operates within a defined airspace polygon between 15 and 120 meters AGL, featuring a cylindrical no-fly zone near the center. Equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, the UAV carries a 0.7 kg payload. During the flight, a lost communication link triggers an automatic return-to-launch at 240 seconds, coinciding with a partial GNSS outage. Icing begins at 250 seconds, reducing aerodynamic efficiency and increasing stall risk. The UAV must maintain separation from a moving obstacle and an intruding traffic UAV traveling southbound at 12 m/s. Return and emergency landing zones are located at opposite corners of the corridor. GNSS multipath effects are possible near powerline structures, complicating position accuracy. Battery reserves are set to 30%, with energy consumption affected by drag and icing. The scenario tests resilience to combined communication loss, environmental hazards, and navigation challenges in confined infrastructure airspace.",Continue inspection 60s; reassess after battery drops to 25%,Descend to 15m AGL immediately to reduce wind exposure,Divert to nearest emergency landing zone using LiDAR-only navigation,Climb to 120m AGL for better GNSS signal and obstacle visibility,Maintain course and speed to synchronize return with intruder's path,Initiate return at 240s using inertial navigation and thermal obstacle tracking,Hover in place for 30s to reestablish communication before moving,"[""Continue inspection 60s; reassess after battery drops to 25%"", ""Descend to 15m AGL immediately to reduce wind exposure"", ""Divert to nearest emergency landing zone using LiDAR-only navigation"", ""Climb to 120m AGL for better GNSS signal and obstacle visibility"", ""Maintain course and speed to synchronize return with intruder's path"", ""Initiate return at 240s using inertial navigation and thermal obstacle tracking"", ""Hover in place for 30s to reestablish communication before moving""]","F ensures timely return under communication loss and GNSS degradation by leveraging onboard sensors for navigation and obstacle avoidance. It respects energy reserves, avoids conflict with the southbound intruder, and maintains mission safety without relying on unstable signals. Other choices either delay action, increase risk, or violate separation and energy constraints." 2025-11-01T18:02:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Hexacopter_Moving_NFZ_in_Sandstorm_1e29efbde7a0_mcq.json,uavbench-mcq-v1,Hexacopter_Moving_NFZ_in_Sandstorm,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,B,False,"Hexacopter must inspect 4 waypoints in 600s, avoid sandstorm (9 m/s, 240°), static/moving NFZs, and traffic with 25m/15s separation.","This is an inspection mission using a battery-powered hexacopter equipped with RGB camera, LiDAR, GNSS, IMU, and other standard sensors. The flight occurs in a dense urban environment with a defined geofenced airspace from 10 to 120 meters AGL. A severe sandstorm reduces visibility, and strong winds at 9 m/s with gusts up to 4.5 m/s blow from 240 degrees. The UAV must navigate around a static no-fly zone and a moving cylindrical NFZ that drifts southwest at 2.5 m/s. The mission includes four waypoints flown in a corridor pattern with a 600-second time limit. A single traffic UAV flies westward at constant speed, requiring separation monitoring. A moving spherical obstacle also traverses the area, adding dynamic collision risk. GNSS multipath effects are likely due to the urban setting, and sandstorm conditions may degrade sensor performance. The UAV must maintain at least 25 meters separation from other traffic with a 15-second time-to-closest approach threshold.","Climb to 120m for clear GNSS, full speed to save energy","Fly at 110m, reduce speed to 8 m/s, continuous LiDAR scan","Descend to 15m to avoid wind, accelerate to 12 m/s","Hold position until moving NFZ passes, resume at 10 m/s","Follow traffic UAV at 25m behind, same altitude","Alternate path at 60m, 9 m/s, 10s update cycle","Fly direct at 100m, 11 m/s, prioritize camera over LiDAR","[""Climb to 120m for clear GNSS, full speed to save energy"", ""Fly at 110m, reduce speed to 8 m/s, continuous LiDAR scan"", ""Descend to 15m to avoid wind, accelerate to 12 m/s"", ""Hold position until moving NFZ passes, resume at 10 m/s"", ""Follow traffic UAV at 25m behind, same altitude"", ""Alternate path at 60m, 9 m/s, 10s update cycle"", ""Fly direct at 100m, 11 m/s, prioritize camera over LiDAR""]","Flying at 110m balances wind exposure and geofence limits while maintaining GNSS usability with reduced multipath. Reducing speed to 8 m/s enhances control stability in sandstorm, conserves energy, and allows time for LiDAR-based obstacle updates. This choice satisfies separation, navigation accuracy, energy efficiency, and sensor reliability under degraded conditions." 2025-11-01T18:02:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High-Altitude_Coastal_Survey_in_Rain_with_HAPS_UAV_ef7b13e0ddcd_mcq.json,uavbench-mcq-v1,High-Altitude_Coastal_Survey_in_Rain_with_HAPS_UAV,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"At 400 seconds, severe GNSS jamming occurs at 5,000 m AGL with 25 m/s winds. What is the safest immediate response?","This is a high-altitude coastal survey mission using a battery-powered HAPS UAV equipped with radar, RGB camera, and standard navigation sensors. The UAV operates between 1,000 and 6,000 meters AGL along a predefined grid pattern over a coastal airspace with complex wind and weather conditions. Strong westerly winds increase with altitude, reaching 25 m/s at 5,000 meters, with gusts and poor visibility due to rain and icing conditions. The UAV must avoid a static no-fly zone near the center of the area and a moving no-fly zone drifting southwest at 2.8 m/s. Additional hazards include GNSS multipath, moderate jamming at -75 dBm, electromagnetic interference, and communication dropouts between 350–370 and 500–520 seconds. The UAV experiences an icing event at 200 seconds and a severe GNSS jamming fault at 400 seconds, both impacting performance and navigation. Air traffic includes a single UAV flying east to west at 3,500 meters, requiring separation of at least 100 meters or 30 seconds time-to-collision. Thermal updrafts near the coast provide potential lift, but the UAV must manage energy carefully due to high drag and limited battery capacity. The mission emphasizes resilience to environmental stressors, sensor degradation, and dynamic obstacles while maintaining survey accuracy and safety.",Maintain altitude and continue survey grid,"Descend to 3,000 m AGL and slow speed","Climb to 6,000 m for clearer signals",Turn east toward coastal updrafts,Execute emergency landing at nearest runway,Hold position for 60 seconds to reacquire GNSS,Divert southwest to avoid jamming zone,"[""Maintain altitude and continue survey grid"", ""Descend to 3,000 m AGL and slow speed"", ""Climb to 6,000 m for clearer signals"", ""Turn east toward coastal updrafts"", ""Execute emergency landing at nearest runway"", ""Hold position for 60 seconds to reacquire GNSS"", ""Divert southwest to avoid jamming zone""]","Descending reduces GNSS multipath and icing risk while improving signal resilience in moderate jamming. It avoids communication dropouts and maintains separation from the westbound UAV. Continuing or climbing worsens fault exposure, while landing or holding wastes energy or violates timing constraints." 2025-11-01T18:02:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High-Altitude_Corridor_Follow_over_Bridge_Site_e96b39654d9f_mcq.json,uavbench-mcq-v1,High-Altitude_Corridor_Follow_over_Bridge_Site,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,G,False,"At 2,800 m AGL with GNSS degraded and 40-knot gusts, how to maintain navigation integrity during corridor transit?","This is a high-altitude inspection mission using a fixed-wing high-altitude pseudo-satellite UAV equipped with radar and RGB camera payload. The flight occurs over a bridge site within a defined corridor airspace between 1,500 and 3,000 meters AGL. Weather includes strong winds increasing with altitude, gusts, and a lightning risk. The UAV must follow a predefined corridor pattern while avoiding a cylindrical no-fly zone near the center of the area. GNSS signals are degraded due to multipath and interference, and electromagnetic noise affects systems. A second UAV and a moving spherical obstacle pose collision risks requiring DAA compliance with 50-meter separation. Thermal updrafts are present near the bridge, which can be exploited for lift. The mission must be completed within 600 seconds, starting from a high-altitude spawn point with a preferred landing zone at one corner. Battery endurance is critical, with significant power draw during flight in windy conditions. Lightning risk at 400 seconds introduces a temporary system fault, requiring resilient control and communication during brief downlink losses.",Rely solely on GNSS and increase update rate,Switch to IMU-GPS fused EKF during signal loss,Use radar-altimeter-only for vertical hold,Lock heading using magnetometer despite EMI,Navigate via visual odometry from RGB feed,"Descend to 1,400 m AGL for better GNSS reception",Fuse radar SLAM with IMU and terrain correlation,"[""Rely solely on GNSS and increase update rate"", ""Switch to IMU-GPS fused EKF during signal loss"", ""Use radar-altimeter-only for vertical hold"", ""Lock heading using magnetometer despite EMI"", ""Navigate via visual odometry from RGB feed"", ""Descend to 1,400 m AGL for better GNSS reception"", ""Fuse radar SLAM with IMU and terrain correlation""]","Radar SLAM provides terrain-relative positioning independent of GNSS, resilient to multipath and EMI. Fusing with IMU compensates for radar latency and maintains attitude stability in gusts. This fusion strategy preserves navigation integrity within the corridor while avoiding reliance on degraded or biased sensors." 2025-11-01T18:02:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High-Altitude_Firefighting_Drop_in_Cold_Rural_Airspace_7c099d6fcf61_mcq.json,uavbench-mcq-v1,High-Altitude_Firefighting_Drop_in_Cold_Rural_Airspace,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 2,500 m AGL with icing at 200 s, how should navigation adapt to maintain corridor integrity and obstacle separation?","This is a high-altitude firefighting drop mission in rural airspace with icing conditions. The UAV is a high-altitude pseudo-satellite powered by battery, equipped with radar, RGB, and thermal cameras. It operates between 1,000 and 3,000 meters AGL within a defined geofenced corridor. Winds are moderate to strong, increasing with altitude, and a thermal updraft is present near the center. The environment includes dynamic no-fly zones and a stationary NFZ requiring careful routing. Icing conditions are expected, with a simulated icing event reducing performance at 200 seconds. The UAV must maintain separation from traffic and a moving spherical obstacle. GNSS is reliable with no multipath but mild electromagnetic interference is present. The mission requires a runway approach for landing and includes a transition from fixed-wing to VTOL flight. Battery endurance and fault resilience are critical due to mission duration and environmental hazards.",Rely solely on GNSS due to its reliability in open airspace,Switch to pure inertial navigation to avoid electromagnetic interference,Prioritize radar-thermal fusion for obstacle detection in icing,Use GPS-IMU with increased process noise during updrafts,Disable thermal camera to reduce power during battery stress,Depend on RGB vision for relative positioning near NFZ,Align flight path with wind vector to conserve battery,"[""Rely solely on GNSS due to its reliability in open airspace"", ""Switch to pure inertial navigation to avoid electromagnetic interference"", ""Prioritize radar-thermal fusion for obstacle detection in icing"", ""Use GPS-IMU with increased process noise during updrafts"", ""Disable thermal camera to reduce power during battery stress"", ""Depend on RGB vision for relative positioning near NFZ"", ""Align flight path with wind vector to conserve battery""]","Icing degrades aerodynamics and can impair optical sensors; radar is immune to ice buildup and weather, while thermal aids in detecting dynamic obstacles. Fusing radar with thermal maintains perception integrity when RGB is compromised. This combination supports reliable navigation and obstacle avoidance despite GNSS interference and battery constraints." 2025-11-01T18:02:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High-Altitude_Pseudo-Satellite_Bridge_Inspection_de3c4d47bb63_mcq.json,uavbench-mcq-v1,High-Altitude_Pseudo-Satellite_Bridge_Inspection,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 2200 m AGL with 14 m/s westerly winds and 8° updrafts, how should the UAV adjust pitch and airspeed for lift efficiency?","This mission involves a high-altitude pseudo-satellite UAV conducting a bridge inspection in a confined airspace near a large structure. The UAV operates within an altitude range of 100 to 2500 meters AGL, navigating a predefined corridor pattern across the bridge site. Weather includes moderate winds at 8 m/s from 240°, increasing with altitude up to 16 m/s from the west, with gusts adding complexity. The UAV is a fixed-wing type with VTOL capability, powered solely by a large battery, equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. Key constraints include a static no-fly zone near the bridge foundation and a moving no-fly cylinder that drifts across the site. GNSS signals are degraded due to multipath effects and electromagnetic interference, requiring robust navigation solutions. The mission involves a swarm of four UAVs maintaining a minimum 50-meter separation, with roles distributed between leader, scouts, and a relay node. Communication links experience brief dropouts, and the UAV must return to a runway-style landing zone after completing its time-constrained 10-minute mission. Thermal updrafts near the bridge provide potential lift, but dynamic obstacles and traffic from other UAVs demand real-time avoidance and DAA compliance.",Increase pitch to 12° and reduce airspeed to 18 m/s,Decrease pitch to 4° and increase airspeed to 26 m/s,Maintain pitch at 6° and airspeed at 22 m/s,Increase pitch to 15° and maintain airspeed at 22 m/s,Reduce pitch to 2° and reduce airspeed to 16 m/s,Increase pitch to 10° and increase airspeed to 28 m/s,Maintain pitch at 8° and reduce airspeed to 14 m/s,"[""Increase pitch to 12° and reduce airspeed to 18 m/s"", ""Decrease pitch to 4° and increase airspeed to 26 m/s"", ""Maintain pitch at 6° and airspeed at 22 m/s"", ""Increase pitch to 15° and maintain airspeed at 22 m/s"", ""Reduce pitch to 2° and reduce airspeed to 16 m/s"", ""Increase pitch to 10° and increase airspeed to 28 m/s"", ""Maintain pitch at 8° and reduce airspeed to 14 m/s""]","At high altitude, reduced air density increases stall risk; maintaining moderate pitch (6°) and 22 m/s balances lift generation and drag. The 8° updraft supplements lift, allowing efficient equilibrium without exceeding critical angle of attack or induced drag limits." 2025-11-01T18:02:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High-Altitude_Powerline_Inspection_Swarm_b0f4dd3d035f_mcq.json,uavbench-mcq-v1,High-Altitude_Powerline_Inspection_Swarm,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 1150m altitude, 300s into mission, GNSS degrades; UAV leader deviates 40m toward no-fly zone. What action is required?","This is a high-altitude powerline inspection mission using a swarm of four UAVs. The operation takes place within a defined corridor airspace spanning 8 km in length with a width of 400 meters. The UAVs fly between 100 and 1200 meters above ground level, avoiding a cylindrical no-fly zone centered at (4000, 200) with a 150-meter radius and vertical limits from 100 to 600 meters. Weather conditions include a steady 6 m/s wind from 240 degrees with light gusts of 3 m/s and good visibility. The UAVs are high-altitude pseudo-satellites powered by batteries, equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. Each UAV carries a 3.2 kg payload and operates with strict energy management, reserving 30% of battery capacity. The swarm includes a leader, two followers, and a relay node, maintaining at least 50 meters of separation between units. The mission requires runway-aligned takeoff and landing, with preferred and emergency landing zones at opposite ends of the corridor. Navigation must account for potential GNSS signal degradation near powerline structures. The entire mission must be completed within 900 seconds while adhering to strict separation and geofence constraints.",Continue mission; deviation is within tolerance,Abort immediately; return to nearest landing zone,Switch to dead reckoning; maintain current trajectory,Descend to 90m to escape interference; stay in corridor,Relay requests manual override; followers hold position,Increase separation to 75m; compensate for navigation error,Initiate emergency descent into no-fly zone to avoid collision,"[""Continue mission; deviation is within tolerance"", ""Abort immediately; return to nearest landing zone"", ""Switch to dead reckoning; maintain current trajectory"", ""Descend to 90m to escape interference; stay in corridor"", ""Relay requests manual override; followers hold position"", ""Increase separation to 75m; compensate for navigation error"", ""Initiate emergency descent into no-fly zone to avoid collision""]",GNSS degradation near powerlines increases collision and geofence violation risk. Continuing or descending could breach the no-fly zone or reduce safety margins. Immediate abort ensures compliance with airspace laws and prioritizes safety over mission completion. 2025-11-01T18:02:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Bridge_Inspection_with_Glider_in_Cold_Weather_ae2b7fdb9229_mcq.json,uavbench-mcq-v1,Harbor_Bridge_Inspection_with_Glider_in_Cold_Weather,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,A,A,True,"During simulated icing at 45m AGL with GNSS jamming and 7.5 m/s winds, which action ensures secure, stable flight?","This mission involves a glider UAV conducting a bridge inspection in a harbor environment. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates within an altitude range of 20 to 120 meters AGL, confined by a polygonal geofence. Strong winds from the southwest at 7.5 m/s with gusts up to 4.0 m/s challenge flight stability. Icing conditions are present, and a simulated icing event occurs mid-mission, affecting performance. The airspace includes a static no-fly zone near the bridge and a moving no-fly zone drifting southwest. A dynamic obstacle moves horizontally through the area, requiring real-time avoidance. GNSS signals suffer from multipath effects and moderate jamming, while electromagnetic interference is present. The UAV must follow a corridor inspection pattern, avoid collisions, and maintain separation from other traffic. Battery endurance and cold-weather performance are critical constraints for mission success.",Switch to encrypted INS with authenticated terrain-aided navigation updates,Increase control loop frequency to 100 Hz without sensor fusion,Rely solely on unencrypted GNSS for position correction,Disable thermal camera to save power without load balancing,Use open telemetry link for real-time operator override,Follow ice accumulation with unverified actuator commands,Descend below 20m to avoid wind gusts outside geofence,"[""Switch to encrypted INS with authenticated terrain-aided navigation updates"", ""Increase control loop frequency to 100 Hz without sensor fusion"", ""Rely solely on unencrypted GNSS for position correction"", ""Disable thermal camera to save power without load balancing"", ""Use open telemetry link for real-time operator override"", ""Follow ice accumulation with unverified actuator commands"", ""Descend below 20m to avoid wind gusts outside geofence""]",Encrypted INS with authenticated terrain updates preserves data integrity and availability under GNSS jamming. It maintains control stability by fusing trusted sensors during icing-induced performance loss. This layered approach ensures mission continuity despite cyber and physical disturbances. 2025-11-01T18:02:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High-Altitude_Pseudo-Satellite_Mission_in_Mountainous_Airspace_with_Thermal_Updrafts_5bb9a55acda8_mcq.json,uavbench-mcq-v1,High-Altitude_Pseudo-Satellite_Mission_in_Mountainous_Airspace_with_Thermal_Updrafts,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 7,500 m AGL with 10-minute survey window, how to maintain navigation integrity during periodic comms loss and EM interference?","This is a high-altitude pseudo-satellite UAV survey mission in mountainous terrain. The UAV operates between 2,000 and 8,000 meters AGL within a defined polygonal airspace. Weather includes steady westerly winds increasing with altitude and active thermal updrafts enhancing lift. The solar-electric UAV features long endurance, fixed-wing aerodynamics, and a VTOL capability for flexible operations. It carries a multi-sensor payload including radar, RGB and thermal cameras for survey imaging. The mission must avoid a static no-fly zone near the center and a moving restricted zone drifting southwest. Another UAV and a moving spherical obstacle require real-time separation via DAA systems with a 100-meter minimum. GNSS is reliable with no multipath, but electromagnetic interference and periodic comms loss pose risks. Thermal updrafts offer energy-saving opportunities, though precise navigation is needed to exploit them. The UAV must complete its corridor survey within 10 minutes and land using the designated runway.",Rely solely on GNSS due to no multipath,Switch to IMU-only dead reckoning,Fuse IMU with visual odometry and radar altimeter,Descend immediately to avoid updrafts,Use thermal camera for terrain matching,Depend on magnetic heading for orientation,Activate VTOL mode to hover and wait,"[""Rely solely on GNSS due to no multipath"", ""Switch to IMU-only dead reckoning"", ""Fuse IMU with visual odometry and radar altimeter"", ""Descend immediately to avoid updrafts"", ""Use thermal camera for terrain matching"", ""Depend on magnetic heading for orientation"", ""Activate VTOL mode to hover and wait""]","IMU-visual-radar fusion maintains accuracy during comms loss and EM interference. Visual odometry corrects IMU drift, while radar altimeter provides reliable height over terrain. This combination ensures precise navigation and updraft exploitation without GNSS dependency." 2025-11-01T18:02:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High-Altitude_Pseudo-Satellite_Swarm_Coordination_in_Mountainous_Terrain_e72debd83f1f_mcq.json,uavbench-mcq-v1,High-Altitude_Pseudo-Satellite_Swarm_Coordination_in_Mountainous_Terrain,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 205 seconds, one UAV experiences icing; which action maintains swarm safety and coverage with 150m separation and communication dropouts at 200s?","This mission involves a swarm of four high-altitude pseudo-satellites conducting a grid survey in mountainous terrain between 3,000 and 7,000 meters AGL. The aircraft operate within a defined polygonal airspace containing a static no-fly zone and a moving restricted zone that drifts over time. Weather includes strong westerly winds increasing with altitude, gusts, and icing conditions that temporarily reduce performance. Each UAV is battery-powered, equipped with radar, RGB and thermal cameras, and relies on GNSS/IMU navigation despite multipath errors and moderate electromagnetic interference. The swarm must maintain a minimum 150-meter separation while coordinating roles including leader, scout, and relay. Key constraints include dynamic no-fly zones, a required runway-aligned takeoff and landing, and communication dropouts between 150–160 and 400–415 seconds. Thermal updrafts are present but not utilized for energy harvesting. The mission duration is capped at 600 seconds with a 900-step simulation timeline. A simulated icing event at 200 seconds reduces aerodynamic efficiency for one minute. Success is measured by mission completion, safety margins, battery reserve, and adherence to separation and NFZ constraints.",Iced UAV climbs 200m to escape icing layer,Neighboring UAV increases speed to cover gap,Iced UAV returns directly to runway,All UAVs descend to avoid wind shear,Relay UAV broadcasts reroute via mesh,Leader pauses grid pattern until 260s,Scout assumes leader role without confirmation,"[""Iced UAV climbs 200m to escape icing layer"", ""Neighboring UAV increases speed to cover gap"", ""Iced UAV returns directly to runway"", ""All UAVs descend to avoid wind shear"", ""Relay UAV broadcasts reroute via mesh"", ""Leader pauses grid pattern until 260s"", ""Scout assumes leader role without confirmation""]","During the icing event at 205s, communication dropouts rule out centralized reassignment. The relay UAV using mesh networking ensures message propagation despite GNSS/IMU errors and transient link losses. This maintains coordination, preserves 150m separation, and sustains coverage without overloading remaining agents or violating timing constraints." 2025-11-01T18:02:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High-Altitude_Satellite_Link_Relay_in_Forest_with_Strong_Crosswind_82b38a221aed_mcq.json,uavbench-mcq-v1,High-Altitude_Satellite_Link_Relay_in_Forest_with_Strong_Crosswind,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which UAV configuration best sustains 300m separation in 12 m/s crosswinds with 6 m/s gusts at 15,000–20,000 m AGL?","This is a high-altitude satellite link relay mission conducted in forested airspace between 15,000 and 20,000 meters AGL. The UAV is a battery-powered high-altitude pseudo-satellite with long endurance and a radar and RGB camera payload. It operates in strong crosswinds of 12 m/s from the west, with gusts up to 6 m/s and increasing wind speeds at higher altitudes. The mission involves maintaining a communication relay using an orbit pattern around designated waypoints. A no-fly zone cylinder restricts access near the center of the airspace, and GNSS multipath and electromagnetic interference degrade navigation accuracy. The UAV must maintain separation from another moving UAV and a dynamic spherical obstacle traveling westward. The mission requires runway-aligned takeoff and landing, with VTOL to fixed-wing transition. A three-UAV swarm configuration is used, with leader and relay roles, requiring minimum 300-meter inter-UAV separation. Communication experiences brief downlink loss windows, and DAA systems monitor for breaches below 200-meter separation or 60-second time-to-closest approach. The UAV must manage battery reserves under high wind and aerodynamic drag while staying within geofenced boundaries.","Fixed-wing only, no VTOL, single battery pack","Tandem-wing VTOL with lightweight radar, no relay redundancy","Quadcopter swarm, no fixed-wing transition, high drag","Hybrid VTOL with dual batteries, leader-follower GPS sync","Glider-based UAV, wind-dependent, minimal propulsion reserve","Single battery, RGB-only payload, no radar for DAA","Tri-rotor VTOL, low wind tolerance, basic GNSS shielding","[""Fixed-wing only, no VTOL, single battery pack"", ""Tandem-wing VTOL with lightweight radar, no relay redundancy"", ""Quadcopter swarm, no fixed-wing transition, high drag"", ""Hybrid VTOL with dual batteries, leader-follower GPS sync"", ""Glider-based UAV, wind-dependent, minimal propulsion reserve"", ""Single battery, RGB-only payload, no radar for DAA"", ""Tri-rotor VTOL, low wind tolerance, basic GNSS shielding""]",Hybrid VTOL enables runway-aligned takeoff and efficient high-altitude cruise. Dual batteries ensure reserve capacity under high drag and wind stress. GPS sync maintains swarm separation and DAA compliance despite GNSS interference. 2025-11-01T18:02:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High-Altitude_Snowfall_Reconnaissance_at_Bridge_Site_0f0e7a6befd0_mcq.json,uavbench-mcq-v1,High-Altitude_Snowfall_Reconnaissance_at_Bridge_Site,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,D,False,"UAV surveys bridge at 300–1200 m AGL, 600 s max, westerly winds, icing fault at 300 s; which strategy maximizes survey coverage and safe return?","This mission involves a high-altitude pseudo-satellite UAV conducting a grid survey over a bridge construction site. The UAV operates between 300 and 1200 meters AGL within a defined polygonal airspace that includes a cylindrical no-fly zone around the bridge center. Weather conditions include moderate snowfall, poor visibility, icing risks, and consistent westerly winds increasing with altitude. The UAV is equipped with radar, RGB and thermal cameras, and relies on GNSS/IMU navigation, though it faces GNSS multipath, jamming, and electromagnetic interference. A traffic UAV approaches from the north, requiring separation assurance with a 100-meter threshold. The UAV must avoid a drifting spherical obstacle and utilize thermal updrafts for potential lift assistance. Mission duration is constrained to 600 seconds with a required runway landing. An icing event fault occurs mid-mission, degrading performance for one minute. Battery capacity limits endurance, and communication dropouts are expected at specific intervals. The UAV spawns at a high altitude and must complete its survey while managing energy, weather, and navigation challenges.",Fly lowest altitude continuously to reduce wind exposure,Climb early to 1200 m for thermal updrafts and GNSS clarity,Disable thermal camera to save power during icing event,Shorten survey grid to reserve battery for wind headwinds,Increase RGB frame rate for better bridge detail in snow,Maintain level flight through no-fly zone for time savings,Transmit all data continuously despite communication dropouts,"[""Fly lowest altitude continuously to reduce wind exposure"", ""Climb early to 1200 m for thermal updrafts and GNSS clarity"", ""Disable thermal camera to save power during icing event"", ""Shorten survey grid to reserve battery for wind headwinds"", ""Increase RGB frame rate for better bridge detail in snow"", ""Maintain level flight through no-fly zone for time savings"", ""Transmit all data continuously despite communication dropouts""]","Shortening the survey grid conserves battery for high-power wind resistance during return, aligning with energy constraints. It prioritizes mission completion and safe landing over full coverage. Other options either increase energy use or fail to adapt to time and power limits." 2025-11-01T18:02:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High-Altitude_Pseudo-Satellite_Crosswind_Training_in_Desert_Rain_b9713098e29d_mcq.json,uavbench-mcq-v1,High-Altitude_Pseudo-Satellite_Crosswind_Training_in_Desert_Rain,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"At 300s, after GNSS jamming and icing, which action maintains survey accuracy at 5,000m with 100m separation from moving obstacles?","This scenario involves a high-altitude pseudo-satellite UAV conducting a survey mission in a desert airspace. The UAV operates between 1,000 and 6,000 meters AGL within a defined polygonal geofence. Weather conditions include moderate rain, poor visibility, and strong crosswinds increasing with altitude, up to 18 m/s at 5,000 meters. The UAV is battery-powered, equipped with radar, RGB camera, and standard navigation sensors, but lacks lidar and thermal imaging. Notable constraints include GNSS multipath and jamming, electromagnetic interference, and temporary uplink loss. A static no-fly zone surrounds a central cylinder, and a moving no-fly zone drifts across the area. Another UAV and a moving spherical obstacle create dynamic collision risks, requiring DAA compliance with 100-meter separation. The mission includes a grid survey pattern with five waypoints, reaching up to 5,000 meters altitude near a thermal updraft zone. Two faults are injected: GNSS jamming at 120 seconds and an icing event at 300 seconds, affecting flight performance. The UAV must manage energy carefully, avoid constraints, and complete the mission despite degraded comms and sensor faults.","Climb to 5,200m to avoid icing layer and reduce drift","Descend to 4,500m to improve GNSS signal and stability","Hold level at 5,000m using inertial navigation and radar",Turn left 30° to bypass thermal updraft and save power,Proceed to next waypoint at reduced speed and higher AGL,Return to base early to avoid cumulative sensor faults,Orbit current position until GNSS signal is restored,"[""Climb to 5,200m to avoid icing layer and reduce drift"", ""Descend to 4,500m to improve GNSS signal and stability"", ""Hold level at 5,000m using inertial navigation and radar"", ""Turn left 30° to bypass thermal updraft and save power"", ""Proceed to next waypoint at reduced speed and higher AGL"", ""Return to base early to avoid cumulative sensor faults"", ""Orbit current position until GNSS signal is restored""]","Maintaining 5,000m ensures adherence to the survey grid and avoids terrain conflicts within the geofence. Using inertial navigation and radar compensates for GNSS jamming and poor visibility while sustaining obstacle separation. Other options either violate altitude constraints, increase risk, or waste energy." 2025-11-01T18:02:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High-Altitude_Pseudo-Satellite_Thermal_Survey_Mission_81eacaf010c0_mcq.json,uavbench-mcq-v1,High-Altitude_Pseudo-Satellite_Thermal_Survey_Mission,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,E,False,"At 5,800 m AGL, winds increase and a 15-second downlink outage begins. Maintain formation, avoid dynamic NFZ, and complete survey in 900 s.","This is a high-altitude pseudo-satellite UAV mission conducting a thermal survey in rural airspace. The UAV operates between 1,000 and 6,000 meters AGL within a defined polygonal geofence. Weather includes steady winds of 8 m/s increasing with altitude, gusts up to 4 m/s, and active thermal updrafts aiding lift. The UAV is battery-powered with a wingspan optimized for endurance and carries both RGB and thermal imaging payloads. GNSS signals are strong with no multipath or jamming issues. The mission must avoid two no-fly zones, one stationary and one moving dynamically with a 250-meter radius. A three-UAV swarm flies in formation with a minimum 150-meter separation, requiring coordinated path planning. Traffic includes another UAV at 2,500 meters, and a moving spherical obstacle shares the same path as the dynamic no-fly zone. Communication links experience two brief 15-second downlink outages during the flight. The mission must complete within 900 seconds while maintaining battery reserves and avoiding stalls or geofence breaches.","Descend to 4,500 m and delay NFZ reroute until outage ends",Hold altitude and reduce speed to conserve battery,"Break formation to 100 m separation and climb to 6,000 m","Ascend through 6,000 m to exploit stronger updrafts",Divert now around NFZ at current altitude with formation intact,"Turn left and land at nearest runway, aborting mission",Accelerate and compress survey path into smaller polygon,"[""Descend to 4,500 m and delay NFZ reroute until outage ends"", ""Hold altitude and reduce speed to conserve battery"", ""Break formation to 100 m separation and climb to 6,000 m"", ""Ascend through 6,000 m to exploit stronger updrafts"", ""Divert now around NFZ at current altitude with formation intact"", ""Turn left and land at nearest runway, aborting mission"", ""Accelerate and compress survey path into smaller polygon""]","Maintaining 150 m separation and staying within 1,000–6,000 m AGL is required; E avoids the dynamic NFZ early without breaking formation or exceeding altitude limits. Other options violate separation, altitude, or geofence, or increase risk during communication loss." 2025-11-01T18:02:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/HighAltitudeSurvey_MountainRain_e1f6dcec08c7_mcq.json,uavbench-mcq-v1,HighAltitudeSurvey_MountainRain,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"At 320s, icing reduces performance; wind is 18 m/s from west at 6000 m. How should the UAV respond to maintain mission safety and efficiency?","High-altitude survey mission in mountainous terrain using a battery-powered pseudo-satellite UAV. The UAV carries a radar and RGB camera payload for data collection above 2000–6000 meters AGL. Operational airspace is constrained by a fixed polygonal geofence and a static no-fly zone over the central area. A second moving no-fly zone drifts slowly through the airspace, requiring dynamic avoidance. Weather includes steady rain, poor visibility, and icing conditions with moderate to strong winds increasing with altitude. Wind shifts direction and intensifies at higher elevations, reaching up to 18 m/s from the west. Thermal updrafts are present at two locations, offering potential energy-saving opportunities. GNSS signals suffer from multipath effects and moderate jamming, with additional electromagnetic interference. Mid-mission icing fault at 320 seconds reduces performance for two minutes, compounding environmental challenges. UAV must maintain separation from traffic and a moving spherical obstacle while adhering to communication loss windows.",Climb to 6000 m for better GNSS signal and thermal updraft access,Descend to 2000 m to reduce wind exposure and conserve battery,Hold altitude and increase thrust to counter wind and icing effects,Turn east to avoid moving no-fly zone and use thermal updraft,"Enter geofence boundary for shelter, sacrificing data continuity","Reduce speed to save power, accepting delayed mission timeline",Activate emergency descent and exit survey polygon immediately,"[""Climb to 6000 m for better GNSS signal and thermal updraft access"", ""Descend to 2000 m to reduce wind exposure and conserve battery"", ""Hold altitude and increase thrust to counter wind and icing effects"", ""Turn east to avoid moving no-fly zone and use thermal updraft"", ""Enter geofence boundary for shelter, sacrificing data continuity"", ""Reduce speed to save power, accepting delayed mission timeline"", ""Activate emergency descent and exit survey polygon immediately""]","Turning east leverages thermal updrafts for energy recovery while avoiding the moving no-fly zone and reducing westward wind impact. It balances aerodynamic efficiency, dynamic obstacle avoidance, and energy constraints during icing. Other options either increase risk, waste energy, or violate mission continuity." 2025-11-01T18:02:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Altitude_Pseudo-Satellite_Crosswind_Hail_Mission_a478f685e260_mcq.json,uavbench-mcq-v1,High_Altitude_Pseudo-Satellite_Crosswind_Hail_Mission,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"At 5,800 m with GNSS jamming at -75 dBm and 20 m/s westerly winds, which navigation strategy maintains accuracy during grid survey?","This is a high-altitude survey mission using a battery-powered pseudo-satellite UAV in a volcanic zone. The UAV operates between 4,000 and 6,000 meters AGL within a defined polygonal airspace. Strong westerly winds of 18–20 m/s and gusts up to 8 m/s are present, with poor visibility due to hail. The UAV is equipped with radar, RGB and thermal cameras, and standard navigation sensors, but faces GNSS multipath and jamming at -75 dBm. A no-fly cylinder blocks the central area from 4,000 to 6,000 meters, requiring careful path planning. The mission follows a grid pattern across five waypoints, ascending to 5,800 meters, within a 10-minute time budget. An icing event occurs at 200 seconds, reducing performance for one minute with 60% severity. Downlink communication fails between 250 and 350 seconds, limiting data transmission. A second UAV and a moving spherical obstacle create collision risks, requiring DAA monitoring with 100-meter separation. Thermal updrafts near (800,600) offer potential lift, but EM interference and sensor faults increase operational risk.",Prioritize GNSS with carrier-phase smoothing to reduce multipath errors,Switch to full IMU-propagated dead reckoning for entire mission,Fuse radar altimeter and thermal updraft detection for vertical control,Use radar-visual SLAM with wind-compensated motion models,Rely on magnetic heading due to consistent westerly wind direction,Increase reliance on RGB optical flow in low-visibility hail conditions,Disable sensor fusion and follow precomputed waypoints open-loop,"[""Prioritize GNSS with carrier-phase smoothing to reduce multipath errors"", ""Switch to full IMU-propagated dead reckoning for entire mission"", ""Fuse radar altimeter and thermal updraft detection for vertical control"", ""Use radar-visual SLAM with wind-compensated motion models"", ""Rely on magnetic heading due to consistent westerly wind direction"", ""Increase reliance on RGB optical flow in low-visibility hail conditions"", ""Disable sensor fusion and follow precomputed waypoints open-loop""]","GNSS is degraded by jamming and multipath, making it unreliable. Radar-visual SLAM provides environmental feature tracking independent of GNSS, while wind compensation corrects drift in motion estimation. This fusion maintains situational awareness under poor visibility and signal degradation." 2025-11-01T18:02:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Convertiplane_Training_in_Desert_with_Hail_7084309cd316_mcq.json,uavbench-mcq-v1,High_Crosswind_Convertiplane_Training_in_Desert_with_Hail,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"With 18 m/s crosswinds, hail, and GNSS dropouts, which navigation strategy maintains geofence compliance during grid survey?","This is a fixed-wing convertiplane UAV conducting a grid survey mission in a desert airspace. The aircraft operates within an altitude range of 10 to 300 meters AGL inside a defined rectangular geofence. It faces strong 18 m/s crosswinds from the west, gusting up to 8 m/s, with poor visibility and hail present. The UAV is equipped with GNSS, IMU, camera, and LiDAR for navigation and payload operations. A no-fly zone cylinder is located near the center of the area, requiring careful path planning. The mission requires a runway takeoff and landing aligned with heading 270 degrees. Traffic includes another UAV moving eastbound, and a moving spherical obstacle drifts west. An icing event occurs mid-mission, reducing performance for one minute. Communication experiences two brief downlink/uplink loss windows. The scenario emphasizes crosswind handling, sensor resilience in hail, and adherence to separation and geofence constraints.",Trust GNSS exclusively during downlink loss,Switch to IMU-only dead reckoning for 90 s,Fuse LiDAR with camera SLAM during hail,Disable LiDAR due to sand occlusion risk,Rely on magnetic heading during icing event,Use wind-adaptive groundspeed compensation,Prioritize camera over IMU during gusts,"[""Trust GNSS exclusively during downlink loss"", ""Switch to IMU-only dead reckoning for 90 s"", ""Fuse LiDAR with camera SLAM during hail"", ""Disable LiDAR due to sand occlusion risk"", ""Rely on magnetic heading during icing event"", ""Use wind-adaptive groundspeed compensation"", ""Prioritize camera over IMU during gusts""]","Hail and poor visibility degrade GNSS and camera-only performance; fusing LiDAR with visual SLAM maintains spatial coherence despite obscurants. IMU drift and GNSS dropouts make standalone inertial or satellite navigation unreliable. LiDAR-camera fusion provides terrain-relative updates, enhancing geofence and obstacle awareness under environmental stress." 2025-11-01T18:02:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High-Altitude_Pseudo-Satellite_Convoy_Escort_in_Rural_Thermal_Conditions_6f8e40f127db_mcq.json,uavbench-mcq-v1,High-Altitude_Pseudo-Satellite_Convoy_Escort_in_Rural_Thermal_Conditions,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,A,False,"At 4200 m AGL, strong westerly winds exceed 25 m/s. Which action maintains escort timing and avoids the dynamic no-fly cylinder?","This mission involves a high-altitude pseudo-satellite UAV escorting a ground convoy in rural airspace. The UAV operates between 100 m and 4500 m AGL within a defined polygonal geofence. Weather includes strong westerly winds increasing with altitude and active thermal updrafts that can be exploited for lift. The UAV is battery-powered with a radar, RGB camera, and thermal imaging payload for surveillance. It must avoid a static no-fly zone near the center of the area and a dynamically moving no-fly cylinder. Additional constraints include electromagnetic interference and periodic communication link losses. The swarm consists of three UAVs maintaining a minimum 75-meter separation, with roles distributed among leader, follower, and relay. Collision avoidance is enforced with a 150-meter separation threshold and 30-second time-to-collision buffer. GNSS signals are clear with no multipath or jamming issues, but comms experience two brief downlink outages. The mission emphasizes endurance, situational awareness, and safe navigation through complex environmental and traffic conditions.",Descend to 100 m AGL to reduce wind exposure and rejoin convoy,Climb to 4500 m AGL for stronger thermal updrafts and faster transit,Hold position at 4200 m AGL until the dynamic no-fly zone passes,"Divert east at 4200 m AGL, paralleling the cylinder's edge at 140 m",Accelerate through the cylinder center to minimize exposure time,"Drop to 50 m AGL, below geofence floor, for stable comms and low wind","Break formation, reduce separation to 50 m, and follow ground path","[""Descend to 100 m AGL to reduce wind exposure and rejoin convoy"", ""Climb to 4500 m AGL for stronger thermal updrafts and faster transit"", ""Hold position at 4200 m AGL until the dynamic no-fly zone passes"", ""Divert east at 4200 m AGL, paralleling the cylinder's edge at 140 m"", ""Accelerate through the cylinder center to minimize exposure time"", ""Drop to 50 m AGL, below geofence floor, for stable comms and low wind"", ""Break formation, reduce separation to 50 m, and follow ground path""]","Descending to 100 m AGL reduces wind impact while staying within the geofence and above minimum AGL. It enables energy-efficient flight, preserves communication timing, and avoids the dynamic no-fly cylinder through lateral and vertical repositioning. Other options violate altitude bounds, separation rules, or NFZ constraints." 2025-11-01T18:02:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Convertiplane_Training_in_Mountainous_Terrain_e5c0394fd76f_mcq.json,uavbench-mcq-v1,High_Crosswind_Convertiplane_Training_in_Mountainous_Terrain,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 22 m/s crosswind and increasing altitude, how should the convertiplane adjust pitch and bank to maintain survey track and lift balance?","This scenario involves a convertiplane UAV conducting a survey mission in mountainous terrain. The flight occurs within a defined airspace bounded by geofences and includes both static and moving no-fly zones. Strong crosswinds up to 22 m/s are present, increasing with altitude and shifting direction, creating challenging flight conditions. The UAV is equipped with a battery-powered propulsion system, RGB camera, LiDAR, and standard navigation sensors. Notable constraints include GNSS multipath effects, electromagnetic interference, and a planned GNSS jamming fault. A dynamic no-fly zone and a moving obstacle add complexity to path planning and collision avoidance. The mission requires a runway for takeoff and landing, with a fixed transition profile between VTOL and forward flight. Thermal updrafts are present but do not significantly aid the non-soaring UAV. Air traffic includes a single oncoming UAV, requiring separation monitoring. The mission must be completed within a strict time budget while maintaining safety and battery reserves.","Increase pitch, maintain zero bank to counter drag rise","Decrease pitch, increase bank for faster turn response","Increase pitch slightly, apply crab angle via bank","Reduce airspeed, increase angle of attack past stall threshold","Hold level pitch, apply full rudder without bank",Decrease pitch to reduce wing loading and induced drag,"Increase pitch beyond 15°, zero bank to maximize lift","[""Increase pitch, maintain zero bank to counter drag rise"", ""Decrease pitch, increase bank for faster turn response"", ""Increase pitch slightly, apply crab angle via bank"", ""Reduce airspeed, increase angle of attack past stall threshold"", ""Hold level pitch, apply full rudder without bank"", ""Decrease pitch to reduce wing loading and induced drag"", ""Increase pitch beyond 15°, zero bank to maximize lift""]","Increasing altitude reduces air density, decreasing lift; a slight pitch increase compensates. A crab angle (via coordinated bank and yaw) aligns the flight path with the track while balancing crosswind. Other options either exceed stall angle, disrupt force equilibrium, or fail to correct drift." 2025-11-01T18:02:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Convertiplane_Training_in_Volcanic_Zone_with_Icing_8a6e29f568a3_mcq.json,uavbench-mcq-v1,High_Crosswind_Convertiplane_Training_in_Volcanic_Zone_with_Icing,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 120s, icing reduces performance; winds reach 25 m/s at 200m; GNSS degrades. Mission must finish in <600s.","This scenario involves a convertiplane UAV conducting an inspection mission in a volcanic zone with hazardous weather. The airspace is a restricted polygon with a maximum altitude of 450 meters AGL and includes a permanent no-fly cylinder near the center. Winds are strong, increasing from 18 m/s at ground level to 25 m/s at 200 meters, coming from the west and shifting northerly with altitude. Icing conditions are present, with a simulated icing event occurring at 120 seconds into the flight, reducing performance. The UAV is equipped with GNSS, IMU, lidar, RGB and thermal cameras, but faces GNSS multipath, signal jamming, and electromagnetic interference. A dynamic no-fly zone moves diagonally across the area, requiring real-time path adjustments. The mission follows a corridor pattern with five waypoints, requiring a runway takeoff and landing. Air traffic includes another UAV approaching from the east, and a moving spherical obstacle drifts westward at mid-altitude. Communication dropouts occur twice during the mission, and the aircraft must maintain separation of at least 25 meters from intruders. Battery reserves are set at 30%, and the aircraft must complete the mission within 600 seconds while avoiding stalls and altitude violations.",Continue to next waypoint; accept minor altitude deviation,Descend to 100m AGL to reduce wind exposure and icing risk,Abort mission immediately and return to runway,Climb to 400m AGL for smoother airflow and better GNSS,Fly through dynamic no-fly zone to save 40s mission time,Prioritize thermal imaging over collision avoidance,Maintain course despite communication dropout,"[""Continue to next waypoint; accept minor altitude deviation"", ""Descend to 100m AGL to reduce wind exposure and icing risk"", ""Abort mission immediately and return to runway"", ""Climb to 400m AGL for smoother airflow and better GNSS"", ""Fly through dynamic no-fly zone to save 40s mission time"", ""Prioritize thermal imaging over collision avoidance"", ""Maintain course despite communication dropout""]","Descending reduces exposure to severe winds and icing, preserving control and safety margins. It complies with airspace limits and battery reserves while allowing mission continuation. Other options violate safety, legality, or sensor reliability in degraded conditions." 2025-11-01T18:02:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Heavy_Lift_Training_in_Coastal_Snowfall_ff775ecaf704_mcq.json,uavbench-mcq-v1,High_Crosswind_Heavy_Lift_Training_in_Coastal_Snowfall,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,"At 200 s, icing reduces performance in 15 m/s winds; UAV must maintain 25 m separation with 15 s time-to-closest-approach.","This is a heavy-lift UAV inspection mission in coastal airspace with significant crosswinds and snowfall. The UAV operates in poor visibility with icing conditions and strong westerly winds at 15 m/s, including gusts up to 6.0 m/s. It is an octocopter with a total mass of 55 kg, carrying a 10 kg payload equipped with GNSS, IMU, lidar, and RGB camera. The flight is confined between 10 m and 120 m AGL within a defined polygonal geofence that includes a cylindrical no-fly zone near the center. A second UAV and a moving spherical obstacle create dynamic traffic requiring separation management. The mission follows a corridor pattern with five waypoints and a 10-minute time budget, starting from a fixed spawn point. Icing faults are simulated at 200 seconds, reducing performance for one minute, while brief communication dropouts occur twice. The UAV must maintain at least 25 m separation and 15 s time-to-closest-approach to avoid DAA breaches. Landing is preferred at the origin with an emergency site available elsewhere. GNSS multipath and signal loss risks are present near obstacles and in poor weather.",Continue mission; adjust speed to maintain separation,Descend to 8 m AGL to reduce wind exposure,Exit geofence to avoid dynamic obstacles,Climb to 130 m AGL for smoother airflow,Proceed to emergency landing site immediately,Hold position until icing clears in 60 seconds,"Return to origin using shortest path, delaying landing","[""Continue mission; adjust speed to maintain separation"", ""Descend to 8 m AGL to reduce wind exposure"", ""Exit geofence to avoid dynamic obstacles"", ""Climb to 130 m AGL for smoother airflow"", ""Proceed to emergency landing site immediately"", ""Hold position until icing clears in 60 seconds"", ""Return to origin using shortest path, delaying landing""]","Icing degrades control authority in high winds, increasing collision and loss-of-control risk. Continuing or holding compromises safety margins; exiting geofence or descending violates altitude constraints. Immediate emergency landing prioritizes human safety and regulatory compliance over mission completion, minimizing overall risk." 2025-11-01T18:02:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Glider_Training_in_Volcanic_Zone_4f4e40600459_mcq.json,uavbench-mcq-v1,High_Crosswind_Glider_Training_in_Volcanic_Zone,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"At 580 m AGL, winds 22 m/s with gusts, near moving NFZ: which action best balances endurance and separation?","This scenario involves a glider UAV conducting a survey mission in a volcanic zone with high crosswinds and turbulent weather conditions. The airspace is restricted with a minimum altitude of 50 meters AGL and a maximum of 600 meters, within a defined polygonal geofence. Wind speeds range from 18 to 22 m/s from the west to northwest, increasing with altitude, and include gusts up to 8 m/s. The UAV is equipped with a battery-powered electric propulsion system, RGB camera payload, and standard navigation sensors but lacks LiDAR or thermal imaging. Key constraints include a static no-fly zone at the center of the area and a moving no-fly zone drifting diagonally, requiring real-time avoidance. Additional hazards include GNSS multipath effects, electromagnetic interference, and brief communication loss windows. The mission requires navigating a corridor pattern between five waypoints while avoiding collisions with a single traffic UAV and a moving spherical obstacle. Thermal updrafts are present, which may assist the glider’s endurance if exploited. The UAV must manage battery reserves carefully under high aerodynamic loads caused by strong winds and maintain separation to meet DAA thresholds.",Descend to 400 m AGL to reduce gust loading,Climb to 600 m AGL for stronger thermal updrafts,Hold altitude and reduce airspeed to save battery,Divert east to avoid NFZ center and traffic,Accelerate westward to exit corridor early,Descend to 60 m AGL near multipath zone for cover,Circle at current position to await NFZ movement,"[""Descend to 400 m AGL to reduce gust loading"", ""Climb to 600 m AGL for stronger thermal updrafts"", ""Hold altitude and reduce airspeed to save battery"", ""Divert east to avoid NFZ center and traffic"", ""Accelerate westward to exit corridor early"", ""Descend to 60 m AGL near multipath zone for cover"", ""Circle at current position to await NFZ movement""]","Descending to 400 m AGL reduces exposure to higher wind gusts and structural loads, improving control and battery efficiency. It maintains safe separation from the moving NFZ and avoids the 50 m AGL minimum. Other options either risk altitude limits, increase energy use, or exacerbate GNSS and communication issues." 2025-11-01T18:02:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Glider_Training_in_Warehouse_9ebc985eb103_mcq.json,uavbench-mcq-v1,High_Crosswind_Glider_Training_in_Warehouse,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"With 8 m/s crosswinds and 5-meter separation required, how should the two UAVs coordinate near the drifting obstacle?","This is an indoor glider training mission conducted in a warehouse environment. The UAV is a battery-powered glider equipped with a standard sensor suite including GNSS, IMU, camera, and LiDAR. The mission type is inspection, following a corridor pattern through a series of waypoints. Strong crosswinds of 8 m/s from the west and gusts up to 4 m/s challenge flight stability. Thermal updrafts are present at two locations, offering potential lift for the glider. The airspace includes a static no-fly zone cylinder and a moving obstacle with a dynamic no-fly zone drifting southwest. GNSS signals are degraded due to multipath effects and electromagnetic interference, limiting positioning accuracy. The glider must maintain altitude between 1 and 15 meters AGL within a polygonal geofence. A second UAV and a moving spherical obstacle add complexity, requiring adherence to a 5-meter separation minimum. Communication experiences brief downlink outages, and the mission must succeed within a 600-second time budget.",Both UAVs fly at 15 m AGL to maximize clearance from obstacle,"One UAV ascends to 15 m, the other descends to 1 m for vertical separation",Both UAVs maintain 8 m AGL to balance sensor coverage and safety,UAVs reduce speed by 50% to improve collision detection response,UAVs switch to line-of-sight mode and halt coordination during downlink outages,UAVs converge to inspect the moving obstacle from opposite sides simultaneously,UAVs broadcast position updates every 2 seconds despite communication outages,"[""Both UAVs fly at 15 m AGL to maximize clearance from obstacle"", ""One UAV ascends to 15 m, the other descends to 1 m for vertical separation"", ""Both UAVs maintain 8 m AGL to balance sensor coverage and safety"", ""UAVs reduce speed by 50% to improve collision detection response"", ""UAVs switch to line-of-sight mode and halt coordination during downlink outages"", ""UAVs converge to inspect the moving obstacle from opposite sides simultaneously"", ""UAVs broadcast position updates every 2 seconds despite communication outages""]","Maintaining regular position broadcasts ensures decentralized situational awareness despite intermittent downlinks. This enables both UAVs to predict drift paths and adjust trajectories proactively. Other options either risk collision, violate altitude bounds during wind gusts, or break coordination when communication is lost." 2025-11-01T18:02:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Helicopter_Training_in_Sandstorm_40fdd4c8cdbb_mcq.json,uavbench-mcq-v1,High_Crosswind_Helicopter_Training_in_Sandstorm,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"Helicopter UAV must complete inspection in 600 s with GNSS loss, sandstorm, 22 m/s winds, and avoid moving obstacle and intruder UAV.","This scenario involves a helicopter UAV conducting an inspection mission within an industrial plant. The airspace is constrained by a polygonal geofence and includes two no-fly zones, one static and one moving. Winds are strong with crosswind components, increasing with altitude and reaching up to 22 m/s from the west-northwest. A sandstorm reduces visibility and introduces environmental hazards. The UAV is equipped with GNSS, IMU, lidar, and RGB camera, but faces GNSS multipath, electromagnetic interference, and a planned GNSS jamming fault. A communication downlink failure occurs during the mission, limiting data transmission. The helicopter must navigate around a moving spherical obstacle and avoid conflict with an intruder UAV on a collision course. Battery endurance is critical due to high power demands in windy conditions and reserve requirements. The mission must be completed within 600 seconds while maintaining separation and adhering to altitude and NFZ constraints.",Proceed at max speed; prioritize inspection over collision avoidance,Descend below 30 m to reduce wind load and GNSS interference,Rely solely on IMU during jamming; maintain current heading,Abort mission immediately due to sandstorm visibility limits,Coordinate with intruder UAV via backup radio for deconfliction,Circle NFZ to wait out sandstorm until visibility improves,Switch to lidar-RGB sensor fusion; adjust path with intruder state sharing,"[""Proceed at max speed; prioritize inspection over collision avoidance"", ""Descend below 30 m to reduce wind load and GNSS interference"", ""Rely solely on IMU during jamming; maintain current heading"", ""Abort mission immediately due to sandstorm visibility limits"", ""Coordinate with intruder UAV via backup radio for deconfliction"", ""Circle NFZ to wait out sandstorm until visibility improves"", ""Switch to lidar-RGB sensor fusion; adjust path with intruder state sharing""]","G enables resilient navigation during GNSS jamming by fusing lidar and visual data, while sharing state estimates with the intruder UAV supports cooperative avoidance. It maintains mission timing under wind and visibility stress, preserving communication efficiency and safety margins without violating NFZ or altitude constraints." 2025-11-01T18:02:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Helicopter_Training_in_Desert_with_Icing_cb19458757af_mcq.json,uavbench-mcq-v1,High_Crosswind_Helicopter_Training_in_Desert_with_Icing,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"With 60s icing, GNSS jamming at -85 dBm, and a 10-min mission, how should the helicopter adjust its corridor pattern near waypoint 3?","This is a helicopter training mission conducted in a desert airspace with a defined rectangular geofence and both static and moving no-fly zones. The UAV is a fuel-powered helicopter equipped with radar, cameras, and standard navigation sensors but lacks lidar and thermal imaging. It carries a 150 kg payload and operates under severe weather conditions, including strong crosswinds from the west that increase with altitude and gusts up to 8 m/s. A critical environmental factor is the presence of icing conditions, which are simulated as a fault event lasting 60 seconds with moderate severity. GNSS signals are degraded due to multipath effects and interference, with jamming at -85 dBm, and electromagnetic interference further challenges avionics. The mission involves flying a corridor pattern through five waypoints within a 10-minute time budget, starting and ending near the spawn point at 50 m altitude. There is one other UAV in the airspace, moving westward at 30 m/s, requiring separation management to avoid breaches. A moving spherical obstacle and a thermal updraft near a waypoint add complexity to flight control. The helicopter must avoid two cylindrical NFZs, one dynamic, while maintaining safe separation and navigating with reduced sensor reliability. Communication experiences brief uplink/downlink outages, and performance is evaluated based on mission success, safety metrics, and system resilience.",Ascend to 120 m to avoid moving obstacle and improve GNSS signal,Delay waypoint 3 approach by 90 s to wait out icing conditions,Rely solely on radar for navigation due to camera blindness in dust,Offload imaging to other UAV since it passes westward at 30 m/s,Cut payload to 100 kg to increase maneuverability in crosswinds,Use dead reckoning during 60s GNSS outage with IMU and heading hold,Fly directly to spawn after waypoint 3 to ensure return within time,"[""Ascend to 120 m to avoid moving obstacle and improve GNSS signal"", ""Delay waypoint 3 approach by 90 s to wait out icing conditions"", ""Rely solely on radar for navigation due to camera blindness in dust"", ""Offload imaging to other UAV since it passes westward at 30 m/s"", ""Cut payload to 100 kg to increase maneuverability in crosswinds"", ""Use dead reckoning during 60s GNSS outage with IMU and heading hold"", ""Fly directly to spawn after waypoint 3 to ensure return within time""]","Dead reckoning with IMU maintains navigation integrity during GNSS outage while respecting time budget and payload constraints. It preserves mission continuity without relying on external agents or violating geofence timing. Other options either break time limits, assume unavailable capabilities, or disrupt inter-UAV separation." 2025-11-01T18:02:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Helicopter_Training_in_Volcanic_Zone_ae4ab695d04a_mcq.json,uavbench-mcq-v1,High_Crosswind_Helicopter_Training_in_Volcanic_Zone,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Which route adjusts for a microburst at 200s, avoids a collision at 50m, and stays below 300m AGL with 30% battery reserve?","This is a helicopter UAV inspection mission in a hazardous volcanic zone with poor visibility and high crosswinds. The airspace is constrained by static and moving no-fly zones, a polygonal geofence, and a maximum altitude of 300 meters AGL. Wind speeds range from 18–22 m/s from the west to northwest, increasing with altitude, with gusts up to 9 m/s and a microburst risk. The UAV is a single-rotor helicopter equipped with RGB and thermal cameras, LiDAR, and full sensor suite including GNSS, IMU, and barometer. GNSS performance is degraded due to multipath effects and electromagnetic interference, with moderate jamming at -85 dBm. The mission involves navigating a corridor pattern through five waypoints within a 600-second time limit, avoiding obstacles and dynamic traffic. A second UAV enters the airspace on a collision course, requiring separation assurance with a 50-meter minimum distance threshold. A microburst event occurs at 200 seconds, introducing sudden wind disturbances, while communications experience a brief 15-second downlink loss. The UAV must manage battery reserves carefully, with a 30% reserve required and high power draw during hover and maneuvering in strong winds.","Climb to 290m, delay W3 by 20s, and reduce speed to 12 m/s","Hold at W2 for 30s, then proceed direct to W4 at 250m","Descend to 180m, turn north early, and bypass W3 entirely","Maintain 240m, accelerate to 18 m/s, and skip thermal scan at W4","Follow planned corridor, but extend loiter at W5 by 40s","Divert east to safe zone, await comms recovery, then resume","Reduce altitude to 200m, offset north by 75m, and reschedule W3 after W4","[""Climb to 290m, delay W3 by 20s, and reduce speed to 12 m/s"", ""Hold at W2 for 30s, then proceed direct to W4 at 250m"", ""Descend to 180m, turn north early, and bypass W3 entirely"", ""Maintain 240m, accelerate to 18 m/s, and skip thermal scan at W4"", ""Follow planned corridor, but extend loiter at W5 by 40s"", ""Divert east to safe zone, await comms recovery, then resume"", ""Reduce altitude to 200m, offset north by 75m, and reschedule W3 after W4""]","Option G maintains terrain clearance and avoids wind shear near the summit while preserving GNSS-reliant navigation in lower interference bands. The lateral offset ensures separation from the intruder UAV, and resequencing waypoints maintains timing and battery margins. Other options either breach AGL limits, waste time, or fail to manage dynamic risks cohesively." 2025-11-01T18:02:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Octocopter_Training_in_Dense_Urban_Area_b8ebe70b4b1c_mcq.json,uavbench-mcq-v1,High_Crosswind_Octocopter_Training_in_Dense_Urban_Area,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,Which UAV configuration best ensures obstacle avoidance and stability under 9.5 m/s winds with 0.7kg payload in urban inspection?,"This is a training mission for an octocopter conducting an inspection in a dense urban environment. The UAV operates within a defined airspace bounded by a 300m x 300m geofenced polygon, with a flight altitude range from 10m to 120m AGL. Conditions include strong westerly winds at 9.5 m/s with gusts up to 4.8 m/s, posing challenges for stability and control. The UAV is equipped with a battery-powered octocopter configuration, carrying a 0.7kg payload and outfitted with GNSS, IMU, lidar, and RGB camera sensors. A static no-fly zone restricts access to a central cylindrical area, while a second dynamic no-fly zone moves through the airspace, requiring real-time avoidance. Air traffic includes a single intruder UAV flying westward, and a moving spherical obstacle drifts southward, both demanding separation assurance. The mission involves completing a rectangular corridor pattern within 10 minutes, returning to the start point, with communication dropouts simulated at two intervals. GNSS multipath effects may occur due to surrounding structures, and strict separation thresholds are enforced to prevent collisions. Battery reserve is set to 30%, and successful completion requires avoiding all obstacles, staying within bounds, and landing safely.",Quadcopter with RGB camera only,Hexacopter with GNSS and IMU only,Octocopter with lidar and RGB camera,Octocopter with GNSS and IMU only,Quadcopter with lidar and RGB camera,Hexacopter with lidar and RGB camera,Octocopter with RGB camera only,"[""Quadcopter with RGB camera only"", ""Hexacopter with GNSS and IMU only"", ""Octocopter with lidar and RGB camera"", ""Octocopter with GNSS and IMU only"", ""Quadcopter with lidar and RGB camera"", ""Hexacopter with lidar and RGB camera"", ""Octocopter with RGB camera only""]","The octocopter provides redundancy and stability in strong winds, while lidar ensures reliable obstacle detection in GNSS-denied urban areas. RGB camera adds visual context for dynamic obstacle tracking. Other options lack either sufficient sensor fusion or flight stability for this high-wind, high-obstacle mission." 2025-11-01T18:02:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Hexacopter_Training_in_Volcanic_Zone_1020c492401a_mcq.json,uavbench-mcq-v1,High_Crosswind_Hexacopter_Training_in_Volcanic_Zone,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"At 110m AGL in 16 m/s winds, GNSS fails and a nearby UAV approaches within 50m—what immediate action preserves safety and compliance?","This mission involves a hexacopter conducting an inspection in a volcanic zone with poor visibility and hazardous weather. The UAV operates within a 200m x 200m geofenced area at altitudes between 5m and 120m AGL. Strong crosswinds from the west increase with altitude, reaching 16 m/s with gusts and turbulence, compounded by an ash cloud. The hexacopter carries a dual-camera payload (RGB and thermal) and relies on GNSS, IMU, and LiDAR, but faces GNSS multipath, jamming, and electromagnetic interference. A static no-fly zone blocks the central area, while a moving no-fly cylinder and a drifting obstacle add dynamic constraints. Another UAV flies through the airspace on a perpendicular path, requiring separation maintenance. The mission includes a motor failure fault and a GNSS jamming event, with downlink communication losses during critical phases. Battery capacity limits flight time, and reserve power must be preserved. The route follows a corridor pattern through four waypoints before circling the center, with emergency landing options available. Success depends on navigating weather, faults, traffic, and interference while avoiding collisions and geofence violations.",Descend to 30m AGL to reduce wind exposure and maintain control,Hold position and attempt GNSS signal reacquisition for 30 seconds,Ascend to 120m for clearer GNSS reception and obstacle clearance,"Turn east to avoid the approaching UAV, deviating from the corridor",Proceed to the center waypoint to complete the critical thermal scan,Execute emergency landing at current location despite rough terrain,Switch to LiDAR-IMU mode and track the moving no-fly cylinder,"[""Descend to 30m AGL to reduce wind exposure and maintain control"", ""Hold position and attempt GNSS signal reacquisition for 30 seconds"", ""Ascend to 120m for clearer GNSS reception and obstacle clearance"", ""Turn east to avoid the approaching UAV, deviating from the corridor"", ""Proceed to the center waypoint to complete the critical thermal scan"", ""Execute emergency landing at current location despite rough terrain"", ""Switch to LiDAR-IMU mode and track the moving no-fly cylinder""]","Descending reduces wind-induced instability and conserves battery, aligning with safety-of-life principles. It avoids conflict with the approaching UAV by minimizing drift risk. Other options increase collision probability, violate flight envelopes, or prioritize mission over safety." 2025-11-01T18:02:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Octocopter_Training_in_Suburban_Area_with_Microburst_Risk_8c1da2fc3c43_mcq.json,uavbench-mcq-v1,High_Crosswind_Octocopter_Training_in_Suburban_Area_with_Microburst_Risk,minimax/minimax-m1,9,Comparative System Reasoning,7,?,E,False,Which configuration best ensures octocopter stability and mission success under 14 m/s winds and 30% battery reserve?,"This scenario involves an octocopter conducting an inspection mission in suburban airspace. The UAV is equipped with a visual camera and standard navigation sensors but lacks lidar, radar, and thermal imaging. Weather conditions include strong 14 m/s winds from the west, gusts up to 6 m/s, and a risk of microbursts, increasing flight instability. The mission follows a corridor pattern within a defined geofenced area between 10 and 120 meters AGL. A static no-fly zone and a moving no-fly zone restrict parts of the airspace, requiring dynamic avoidance. A second UAV and a moving spherical obstacle introduce traffic and collision risks. Communication experiences brief downlink losses at 120 and 450 seconds, with minimum RSSI at -85 dBm. The octocopter must manage battery reserves carefully, with a 30% reserve required and limited energy capacity. GNSS multipath effects are not modeled, but high winds and gusts challenge stability and control. The flight must maintain separation of at least 25 meters and avoid all airspace and safety violations to succeed.",Lightweight frame with minimal redundancy to maximize flight time,Aggressive corridor tracking using only visual camera input,Reduced altitude excursions to conserve energy and limit wind exposure,High-gain antenna focused on maintaining RSSI above -85 dBm,Increased rotor speed margins to counteract gusts up to 6 m/s,Alternate routing near moving no-fly zone to save battery,Disabling geofence checks to prioritize real-time obstacle avoidance,"[""Lightweight frame with minimal redundancy to maximize flight time"", ""Aggressive corridor tracking using only visual camera input"", ""Reduced altitude excursions to conserve energy and limit wind exposure"", ""High-gain antenna focused on maintaining RSSI above -85 dBm"", ""Increased rotor speed margins to counteract gusts up to 6 m/s"", ""Alternate routing near moving no-fly zone to save battery"", ""Disabling geofence checks to prioritize real-time obstacle avoidance""]","High rotor speed margins directly improve control authority in strong winds and gusts, enhancing stability without violating energy or safety constraints. Other options either increase risk (B, F, G), reduce resilience (A), or address secondary factors (C, D). E balances power use, responsiveness, and safety under dynamic conditions." 2025-11-01T18:02:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Solar_Wing_Training_on_Powerline_Corridor_7ed438b3cb3d_mcq.json,uavbench-mcq-v1,High_Crosswind_Solar_Wing_Training_on_Powerline_Corridor,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"With 14–19 m/s wind shear, GNSS jamming, and 10-minute endurance, what ensures reliable navigation and obstacle avoidance within 20–150 m AGL?","This scenario involves a fixed-wing solar-powered UAV conducting an inspection mission along a powerline corridor. The flight occurs in controlled airspace with a defined polygonal geofence and two no-fly zones, one static and one moving. A strong crosswind of 14 m/s from the west increases with altitude, reaching 19 m/s at 150 m, and shifts direction slightly with height. The UAV is equipped with standard navigation sensors and an RGB camera payload for visual inspection. It must maintain between 20 and 150 meters AGL, avoid NFZs, and follow a corridor-style waypoint path. Electromagnetic interference is present, and GNSS experiences mild jamming but no multipath effects. A second UAV and a descending spherical obstacle introduce dynamic traffic and collision risks. The mission requires a runway takeoff and landing, with communication dropouts briefly occurring twice. Battery endurance is critical due to high wind resistance and a 10-minute flight time limit. Success depends on maintaining separation, avoiding stalls in gusts, and completing the route within energy and spatial constraints.",Prioritize GNSS and reduce speed in jammed areas,Rely solely on IMU during communication dropouts,Use visual-inertial fusion with camera for obstacle detection,Increase altitude to minimize crosswind effects,Disable camera to save power for navigation systems,Follow magnetic heading despite wind drift,Navigate using powerline EM field signatures,"[""Prioritize GNSS and reduce speed in jammed areas"", ""Rely solely on IMU during communication dropouts"", ""Use visual-inertial fusion with camera for obstacle detection"", ""Increase altitude to minimize crosswind effects"", ""Disable camera to save power for navigation systems"", ""Follow magnetic heading despite wind drift"", ""Navigate using powerline EM field signatures""]","Visual-inertial fusion compensates for GNSS jamming and maintains position accuracy by aligning camera data with IMU during wind-induced motion. It enables real-time obstacle detection using the RGB payload, critical for the descending sphere and dynamic UAV. This method respects AGL limits and energy constraints by avoiding unnecessary climbs or magnetic interference risks." 2025-11-01T18:02:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Solar_Wing_Training_in_Snowfall_9236262eb204_mcq.json,uavbench-mcq-v1,High_Crosswind_Solar_Wing_Training_in_Snowfall,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During snowfall with 14–20 m/s west crosswinds and GNSS degradation, how should the UAV prioritize sensors for navigation between 10–150 m AGL?","This scenario involves an inspection mission using a solar wing UAV in a powerline corridor. The flight occurs in poor visibility due to snowfall with strong crosswinds from the west, increasing with altitude. Wind speeds range from 14 m/s at ground level to 20 m/s at 200 meters, creating challenging flight conditions. The UAV is equipped with RGB camera payload and standard navigation sensors but lacks lidar and thermal imaging. GNSS signals are degraded due to multipath effects and electromagnetic interference, with moderate jamming present. The airspace is constrained between 10 and 150 meters AGL, with a static no-fly zone near the center and a moving no-fly cylinder drifting westward. A second UAV travels through the area on a collision course, requiring separation monitoring. Thermal updrafts are present near waypoints, potentially aiding lift. An icing event occurs mid-mission, reducing performance for one minute. Communication experiences a brief downlink loss window, adding operational risk.",Rely solely on GNSS with Kalman smoothing to filter multipath noise,Switch to IMU-only dead reckoning for entire corridor transit,"Fuse visual odometry with IMU, downweighting GNSS during jamming peaks",Use magnetic heading as primary yaw reference despite interference,Increase reliance on barometric altitude with wind shear compensation,Align trajectory using RGB images of powerlines without SLAM,"Trust last known GNSS position during downlink loss, no correction","[""Rely solely on GNSS with Kalman smoothing to filter multipath noise"", ""Switch to IMU-only dead reckoning for entire corridor transit"", ""Fuse visual odometry with IMU, downweighting GNSS during jamming peaks"", ""Use magnetic heading as primary yaw reference despite interference"", ""Increase reliance on barometric altitude with wind shear compensation"", ""Align trajectory using RGB images of powerlines without SLAM"", ""Trust last known GNSS position during downlink loss, no correction""]",Visual-IMU fusion maintains pose estimation integrity when GNSS is degraded by multipath and jamming. It leverages RGB data for feature tracking in structured corridors while compensating for IMU drift. This approach adapts to environmental noise and preserves situational awareness under snowfall and wind-induced dynamics. 2025-11-01T18:02:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Swarm_Training_in_Forest_with_Lightning_Risk_dde17ce4e548_mcq.json,uavbench-mcq-v1,High_Crosswind_Swarm_Training_in_Forest_with_Lightning_Risk,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 190s, with GNSS jamming imminent and crosswind at 14 m/s, what should the leader drone do to maintain mission safety and progress?","This is a swarm drone survey mission in a forested area with a high crosswind of 14 m/s from the west and gusts up to 6.5 m/s. The UAVs are multirotor drones equipped with GNSS, IMU, lidar, and RGB cameras, carrying a 0.2 kg payload. The mission involves five drones operating in defined roles including leader, followers, relay, and scout, maintaining a minimum separation of 10 meters. The operational airspace is a 200x150 meter polygon with a floor at 10 m AGL and ceiling at 120 m AGL. A static no-fly zone is present at the center with a 20 m radius cylinder from 10 to 60 m altitude, and a dynamic no-fly zone moves diagonally across the area. Additional moving obstacles and an intruder UAV increase complexity. Lightning risk is present, with a simulated lightning event at 400 seconds, and GNSS jamming occurs between 200 and 230 seconds. Communication links experience brief outages, and signal strength must remain above -85 dBm. The mission must be completed within 600 seconds, following a grid pattern across five waypoints while avoiding geofence and altitude violations. Battery endurance and fault resilience are critical due to wind, faults, and energy constraints.",Climb to 110 m AGL to avoid jamming effects,Descend to 15 m AGL and slow speed to 3 m/s,Hold position at 80 m AGL until jamming ends at 230s,"Divert east, skirting NFZ at 70 m AGL",Proceed to next waypoint at 100 m AGL maintaining 10 m separation,Land immediately at current location,Reduce payload power to extend battery by 15%,"[""Climb to 110 m AGL to avoid jamming effects"", ""Descend to 15 m AGL and slow speed to 3 m/s"", ""Hold position at 80 m AGL until jamming ends at 230s"", ""Divert east, skirting NFZ at 70 m AGL"", ""Proceed to next waypoint at 100 m AGL maintaining 10 m separation"", ""Land immediately at current location"", ""Reduce payload power to extend battery by 15%""]","Diverting east at 70 m AGL avoids the static NFZ, stays within AGL limits, and maintains separation while bypassing GNSS jamming effects. Holding or climbing increases exposure to wind and signal loss, while descending or landing risks obstacle collisions or mission failure. D minimizes risk during jamming without violating spatial or temporal constraints." 2025-11-01T18:02:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Swarm_Training_in_Suburban_Area_20c6f89f0755_mcq.json,uavbench-mcq-v1,High_Crosswind_Swarm_Training_in_Suburban_Area,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"At 240s, Drone 3 must reroute near the moving obstacle at 110m AGL while maintaining 10m separation and preparing for GNSS jamming at 250s.","This scenario involves a swarm drone mission for aerial surveying in a suburban environment. The operation takes place within a defined 300x300 meter geofenced area with a maximum altitude of 120 meters AGL. Weather conditions include strong crosswinds from the west at 12 m/s with gusts up to 6 m/s, and a risk of lightning. The UAV swarm consists of five multirotor drones, each equipped with RGB cameras, GNSS, IMU, magnetometer, and barometer, but no lidar or radar. A static no-fly zone is located in the center of the airspace, and an additional moving no-fly cylinder drifts westward. The mission follows a grid survey pattern with five waypoints, requiring tight coordination under a 10-meter minimum inter-drone separation. Drones must avoid a moving spherical obstacle and an intruder UAV entering from the north. A planned GNSS jamming fault occurs at 250 seconds, lasting 30 seconds with 70% severity, coinciding with a communication downlink loss window. Battery endurance is critical, with a reserve margin set at 30% and energy consumption affected by drag and maneuvering. Success depends on maintaining separation, avoiding obstacles and NFZs, completing the survey within 600 seconds, and landing safely at designated sites.","Climb to 115m AGL, fly east circumferential arc around obstacle","Descend to 105m AGL, proceed direct to next waypoint",Hold position at current altitude until obstacle passes,"Turn north, join alternate grid leg at higher altitude",Cut west through static NFZ to exit early,Accelerate through gap between obstacle and intruder UAV,"Bank sharply south, reduce speed, maintain altitude and lateral offset","[""Climb to 115m AGL, fly east circumferential arc around obstacle"", ""Descend to 105m AGL, proceed direct to next waypoint"", ""Hold position at current altitude until obstacle passes"", ""Turn north, join alternate grid leg at higher altitude"", ""Cut west through static NFZ to exit early"", ""Accelerate through gap between obstacle and intruder UAV"", ""Bank sharply south, reduce speed, maintain altitude and lateral offset""]","Option G maintains 110m AGL to avoid vertical deviation under GNSS drift, applies lateral avoidance with energy-efficient bank, and preserves separation from the intruder. It anticipates the 250s jamming by avoiding aggressive maneuvers that would deplete battery or rely on precise GNSS. Other options violate NFZ, reduce safety margins, or increase exposure to wind and communication loss." 2025-11-01T18:02:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Training_at_Bridge_Site_8cad4ee7903e_mcq.json,uavbench-mcq-v1,High_Crosswind_Training_at_Bridge_Site,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,G,False,"Given 8.5 m/s westerly winds, fog reducing visibility, and GNSS multipath near bridge structures, which navigation strategy maximizes reliability?","This is an inspection mission conducted at a bridge site with a single helicopter UAV equipped with RGB camera payload. The flight occurs in poor visibility due to fog, with strong westerly winds at 8.5 m/s and gusts up to 4.0 m/s. The UAV operates within an altitude range of 10 to 120 meters AGL inside a defined rectangular geofence. A cylindrical no-fly zone centered at (100, 75, 0 m, radius 20 m, ceiling 60 m restricts airspace access. The UAV must avoid a moving spherical obstacle drifting southwest at 2.8 m/s near the central zone. Another UAV enters the airspace from the southeast at 12 m/s, requiring separation maintenance of at least 25 meters. Communication experiences two brief loss windows during the mission, each lasting 10 seconds. The mission allows 600 seconds, following a corridor pattern through four waypoints starting near the preferred landing site. Battery endurance and GNSS performance are critical concerns due to wind-induced power draw and potential signal multipath near bridge structures.",Rely solely on GNSS with Kalman filtering,Switch to optical flow in foggy conditions,Use IMU-visual fusion with barometer aiding,Increase reliance on magnetometer for heading,Navigate using LiDAR despite occlusion from fog,Depend on pre-mapped GPS waypoints only,"Fuse IMU, visual, and barometric data; limit GNSS","[""Rely solely on GNSS with Kalman filtering"", ""Switch to optical flow in foggy conditions"", ""Use IMU-visual fusion with barometer aiding"", ""Increase reliance on magnetometer for heading"", ""Navigate using LiDAR despite occlusion from fog"", ""Depend on pre-mapped GPS waypoints only"", ""Fuse IMU, visual, and barometric data; limit GNSS""]","GNSS suffers multipath near bridge structures and degrades in wind-induced vibration, while fog limits optical and LiDAR performance. IMU-visual-barometric fusion provides resilient state estimation by cross-validating sensors and reducing drift. This adaptive fusion maintains accuracy during GNSS outages and environmental stress." 2025-11-01T18:02:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Training_at_Bridge_Site_with_Snowfall_7122de988234_mcq.json,uavbench-mcq-v1,High_Crosswind_Training_at_Bridge_Site_with_Snowfall,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 110 m AGL, 13 m/s westerly winds with gusts reduce airspeed by 22%; how should pitch and throttle be adjusted to maintain lift?","This is an inspection mission using a solar-powered fixed-wing UAV equipped with RGB camera payload. The flight occurs at a bridge site within a defined polygon airspace, bounded between 10 and 120 meters AGL. Strong westerly winds up to 13 m/s increase with altitude, featuring gusts and directional shear, compounded by snowfall and poor visibility. Icing conditions are present, with a simulated icing event occurring mid-mission, reducing aerodynamic efficiency. The UAV must avoid a cylindrical no-fly zone near the bridge center while navigating thermal updrafts and a moving spherical obstacle. GNSS signals suffer from multipath and moderate jamming, with additional electromagnetic interference affecting navigation reliability. The mission follows a corridor pattern with five waypoints, requiring runway-assisted takeoff and landing, with preferred and emergency landing zones designated. Air traffic includes one opposing UAV, requiring DAA compliance with 25-meter separation and 15-second TTC thresholds. Communication experiences brief uplink/downlink dropouts, and flight performance is monitored for battery depletion, icing impact, and airspace violations.","Increase pitch by 3°, reduce throttle to save power","Decrease pitch, increase throttle by 15%","Increase pitch 2°, maintain current throttle","Hold pitch, reduce throttle to limit drag","Increase pitch 8°, increase throttle 10%","Decrease pitch 5°, cut throttle by 20%","Increase pitch 1°, increase throttle 25%","[""Increase pitch by 3°, reduce throttle to save power"", ""Decrease pitch, increase throttle by 15%"", ""Increase pitch 2°, maintain current throttle"", ""Hold pitch, reduce throttle to limit drag"", ""Increase pitch 8°, increase throttle 10%"", ""Decrease pitch 5°, cut throttle by 20%"", ""Increase pitch 1°, increase throttle 25%""]",Increasing pitch slightly and applying significant throttle compensates for reduced dynamic pressure from headwind loss during gusts. This maintains lift coefficient near optimal while overcoming increased induced drag due to lower airspeed. Larger pitch increases risk stall at reduced Reynolds number under icing conditions. 2025-11-01T18:02:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Training_for_Octocopter_in_Desert_75a8435db089_mcq.json,uavbench-mcq-v1,High_Crosswind_Training_for_Octocopter_in_Desert,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which system configuration best ensures mission success under 13.5 m/s winds, GNSS faults, and 30% battery reserve in 600 seconds?","This is a survey mission using a battery-powered octocopter in a desert environment. The UAV is equipped with RGB camera payload and standard sensors including GNSS, IMU, and barometer. The flight area is a 1000m x 800m polygon with a static no-fly zone and a moving restricted zone drifting west. Strong crosswinds from the west increase with altitude, peaking at 13.5 m/s at 200m, with gusts and sandstorm conditions affecting visibility and flight stability. GNSS multipath and electromagnetic interference are present, with a planned GNSS jamming fault and IMU bias injection during the mission. A traffic UAV flies westward at 12 m/s, requiring separation of at least 50 meters. The mission follows a corridor pattern with five waypoints, starting and ending near the spawn point. Battery endurance is critical, with a 30% reserve required and downlink interruptions expected between 400–415 seconds. The UAV must avoid geofence breaches, maintain safe separation, and complete the survey within 600 seconds.",Lightweight frame with minimal redundancy and single IMU,Dual GNSS receivers with antenna diversity and sand-resistant coating,High-capacity battery without payload derating for wind compensation,Open-loop control using barometer-only altitude hold in gusts,Centralized ground station processing with 2-second downlink latency,Aggressive corridor tracking ignoring traffic separation at waypoint 3,Fixed-wing UAV modified for vertical takeoff and desert survey,"[""Lightweight frame with minimal redundancy and single IMU"", ""Dual GNSS receivers with antenna diversity and sand-resistant coating"", ""High-capacity battery without payload derating for wind compensation"", ""Open-loop control using barometer-only altitude hold in gusts"", ""Centralized ground station processing with 2-second downlink latency"", ""Aggressive corridor tracking ignoring traffic separation at waypoint 3"", ""Fixed-wing UAV modified for vertical takeoff and desert survey""]","Dual GNSS with antenna diversity counters jamming and multipath, while sand-resistant coating maintains sensor integrity in storms. It balances fault tolerance, environmental resilience, and power use. Other options fail in redundancy, safety, or aerodynamic suitability for hover-intensive octocopter mission." 2025-11-01T18:02:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Training_at_Wind_Farm_ed47c99969c4_mcq.json,uavbench-mcq-v1,High_Crosswind_Training_at_Wind_Farm,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"Flying at 1200m AGL with 20 m/s westerly winds and icing, which action maintains lift without exceeding stall angle?","This is a high-altitude survey mission using a high-altitude pseudo-satellite UAV equipped with radar and RGB camera payload. The flight occurs within a wind farm airspace bounded by fixed and dynamic no-fly zones, with a geofenced rectangular area from 100m to 1200m AGL. Strong westerly winds up to 20 m/s with gusts and wind shear are present, increasing with altitude and creating crosswind challenges. Weather conditions include rain, poor visibility, and icing risks, with an active icing fault simulated during flight. GNSS signals suffer from multipath effects and moderate jamming, while electromagnetic interference affects sensor reliability. The UAV must navigate a corridor survey pattern while avoiding a static turbine exclusion zone and a moving obstacle near a thermal updraft. Air traffic includes another UAV flying at constant speed, requiring DAA compliance with 50m separation and 30s time-to-close thresholds. Communication experiences a brief downlink loss window, demanding robust autonomy. The mission emphasizes endurance, stability in high crosswinds, and safe operation under degraded environmental and sensor conditions.",Increase angle of attack to 18°,Reduce airspeed below 15 m/s,Bank sharply to avoid turbine zone,Extend flaps and increase thrust,Descend rapidly into stronger gusts,Pitch up abruptly during GNSS loss,Maintain current pitch and reduce power,"[""Increase angle of attack to 18°"", ""Reduce airspeed below 15 m/s"", ""Bank sharply to avoid turbine zone"", ""Extend flaps and increase thrust"", ""Descend rapidly into stronger gusts"", ""Pitch up abruptly during GNSS loss"", ""Maintain current pitch and reduce power""]","Extending flaps increases camber and lift at the same angle of attack, allowing compensation for ice-induced lift loss while avoiding stall. Increasing thrust counters higher drag from flaps and maintains airspeed. Other options either exceed critical angle of attack, reduce lift, or exacerbate control instability under wind shear and icing." 2025-11-01T18:02:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Training_in_Icing_Conditions_5979b07f3415_mcq.json,uavbench-mcq-v1,High_Crosswind_Training_in_Icing_Conditions,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 200 m AGL, 18 m/s west wind, and icing, which UAV action maintains 50 m separation during a 200 s comms dropout?","This is a fixed-wing UAV inspection mission conducted around an airport perimeter. The UAV carries an RGB camera payload for visual data collection. Strong crosswinds of 18 m/s from the west increase with altitude, reaching 25 m/s at 200 m, and gusts add turbulence. Icing conditions are present, with a simulated icing event occurring mid-mission, affecting aerodynamics. The environment includes GNSS multipath, electromagnetic interference, and moderate signal jamming at -75 dBm. The UAV must operate between 30 m and 300 m AGL within a defined polygonal geofence. A cylindrical no-fly zone near the center restricts access, and a runway is required for operations. Air traffic includes another UAV flying westbound at 20 m/s, requiring 50 m separation. Communication dropouts are scheduled briefly at 200 s and 450 s, testing link resilience.",Descend to 150 m to reduce wind exposure and maintain visual tracking,Hold position at 200 m until comms restore to avoid collision risk,Accelerate eastward to create lateral separation from westbound UAV,Climb to 250 m for smoother air despite higher wind and icing risk,Turn north in a holding pattern to preserve formation with ground team,Reduce speed to 15 m/s to extend observation time and avoid overshoot,Maintain current heading and altitude using predictive ADS-B filtering,"[""Descend to 150 m to reduce wind exposure and maintain visual tracking"", ""Hold position at 200 m until comms restore to avoid collision risk"", ""Accelerate eastward to create lateral separation from westbound UAV"", ""Climb to 250 m for smoother air despite higher wind and icing risk"", ""Turn north in a holding pattern to preserve formation with ground team"", ""Reduce speed to 15 m/s to extend observation time and avoid overshoot"", ""Maintain current heading and altitude using predictive ADS-B filtering""]","Maintaining heading and altitude with predictive filtering ensures continuity of separation assurance during comms dropout, leveraging pre-shared trajectory data. It avoids unnecessary maneuvers that could degrade aerodynamic stability under icing and wind shear. Other options introduce unsafe climbs, speed changes, or stops that break 50 m separation or energy balance." 2025-11-01T18:02:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Training_in_Mountainous_Rain_5310bf4ffa0f_mcq.json,uavbench-mcq-v1,High_Crosswind_Training_in_Mountainous_Rain,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 250 seconds, with GNSS jamming at -75 dBm and icing reducing performance, which action ensures secure, stable flight?","This is a high-altitude survey mission conducted in mountainous terrain using a high-altitude pseudo-satellite UAV. The aircraft operates between 1000 and 4000 meters AGL within a defined polygonal geofence. Strong winds up to 18 m/s from 240° with gusts of 7 m/s increase with altitude, and wind shear is present across layers. The weather includes rain, poor visibility, icing conditions, and thermal updrafts near (4200, 3100). The UAV carries a radar and RGB camera payload but lacks thermal and lidar sensors. GNSS performance is degraded due to multipath effects, jamming at -75 dBm, and electromagnetic interference. There is a static no-fly zone centered at (3000, 2000) and a moving restricted zone drifting at (3.0, -2.0) m/s. A second UAV and a moving spherical obstacle create dynamic collision risks. An icing fault occurs at 250 seconds, reducing performance for 90 seconds, and communication dropouts happen twice during the flight.",Switch to encrypted inertial-only navigation with periodic radar fixes,Increase GNSS reliance to counteract wind drift at higher altitudes,Disable authentication on telemetry to reduce control-loop latency,Rely solely on RGB camera for geofence boundary tracking in rain,Transmit unencrypted position updates to maintain ground link,Override autopilot and switch to manual control via unverified commands,Use open-loop timing to estimate position during communication dropouts,"[""Switch to encrypted inertial-only navigation with periodic radar fixes"", ""Increase GNSS reliance to counteract wind drift at higher altitudes"", ""Disable authentication on telemetry to reduce control-loop latency"", ""Rely solely on RGB camera for geofence boundary tracking in rain"", ""Transmit unencrypted position updates to maintain ground link"", ""Override autopilot and switch to manual control via unverified commands"", ""Use open-loop timing to estimate position during communication dropouts""]","A maintains control stability and security by using encrypted inertial navigation, resilient to GNSS jamming and spoofing. Radar provides authenticated position fixes despite degraded GNSS and poor visibility. Other choices introduce vulnerabilities like unverified control, unencrypted data, or sensor unreliability under adverse conditions." 2025-11-01T18:02:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_VTOL_Training_in_Volcanic_Zone_fcb1730f145b_mcq.json,uavbench-mcq-v1,High_Crosswind_VTOL_Training_in_Volcanic_Zone,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 410 seconds, UAV faces comms dropout and must land before 30% battery remains. What action sequence is optimal?","This scenario involves a VTOL tiltrotor UAV conducting an inspection mission in a volcanic zone with hazardous weather and terrain. The mission takes place in a confined airspace with a maximum altitude of 450 meters AGL and multiple no-fly zones, including a static cylinder around the volcano’s center and a moving restricted zone. Winds are strong and variable, averaging 18 m/s from the west with gusts up to 8 m/s, and increase slightly with altitude, creating challenging crosswind conditions during flight transitions. The UAV is equipped with a full sensor suite including GNSS, IMU, LiDAR, RGB and thermal cameras, supporting navigation and inspection tasks despite poor visibility and ash cloud interference. Significant environmental constraints include GNSS multipath, electromagnetic interference, and a planned GNSS jamming fault lasting 45 seconds. The UAV must follow a predefined corridor pattern, transitioning between hover and forward flight, while avoiding a dynamic no-fly zone and a moving spherical obstacle. Air traffic includes another UAV flying westward at 120 meters altitude, requiring separation monitoring with a 50-meter threshold. The mission requires a runway for landing, with both preferred and emergency landing sites designated outside high-risk areas. Battery endurance is limited, with a reserve fraction of 30% and high hover power consumption, demanding efficient route planning. The scenario tests resilience to faults such as partial motor failure and communication dropouts between 400 and 420 seconds.",Climb to 450 m AGL for better signal,Continue inspection pattern eastward,"Descend to 100 m, divert to preferred runway",Hover at current position until comms restore,Fly direct at 120 m AGL through moving NFZ,Accelerate westward to follow other UAV,Enter thermal updraft near volcano center,"[""Climb to 450 m AGL for better signal"", ""Continue inspection pattern eastward"", ""Descend to 100 m, divert to preferred runway"", ""Hover at current position until comms restore"", ""Fly direct at 120 m AGL through moving NFZ"", ""Accelerate westward to follow other UAV"", ""Enter thermal updraft near volcano center""]","Descending reduces power consumption and avoids comms dropout risk in high-interference zones. Diverting to the preferred runway ensures compliant landing with runway requirement and maintains separation from the other UAV. Other options violate NFZs, waste battery, or increase exposure to wind and GNSS faults." 2025-11-01T18:02:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_VTOL_Training_in_Warehouse_d232c585c887_mcq.json,uavbench-mcq-v1,High_Crosswind_VTOL_Training_in_Warehouse,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 5 m altitude, 10 m/s crosswind from west, 1 kg payload: which thrust vectoring strategy ensures hover stability and transition efficiency?","This is a VTOL tiltrotor UAV training mission conducted indoors within a confined warehouse airspace. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors, carrying a 1 kg payload. Strong crosswinds from the west intensify with altitude, peaking at 10 m/s, with gusts and microburst risk adding complexity. The mission involves a grid survey pattern at 5 m altitude, requiring transition between hover and forward flight. A stationary no-fly zone and a moving obstacle constrain flight paths, with dynamic no-fly zones also present. GNSS multipath and electromagnetic interference degrade positioning, with a simulated jamming fault occurring mid-mission. The UAV must maintain separation from traffic and obstacles, with strict geofencing and a required runway landing. Battery reserves are critical due to high wind-induced power demands. Faults include GNSS jamming and partial motor failure, testing resilience. Communication downlink is unreliable, with a planned loss window during flight.",Tilt rotors 15° forward to increase forward thrust,Maintain vertical rotors; increase collective pitch,Reduce rotor RPM to minimize wind drift effects,Tilt rotors fully forward; rely on wing lift immediately,Bank 20° into crosswind to counteract lateral drift,Use only rear thrusters for attitude control,"Tilt rotors 85° vertical, differential thrust for yaw","[""Tilt rotors 15° forward to increase forward thrust"", ""Maintain vertical rotors; increase collective pitch"", ""Reduce rotor RPM to minimize wind drift effects"", ""Tilt rotors fully forward; rely on wing lift immediately"", ""Bank 20° into crosswind to counteract lateral drift"", ""Use only rear thrusters for attitude control"", ""Tilt rotors 85° vertical, differential thrust for yaw""]","Maintaining vertical rotor orientation maximizes lift generation and hover efficiency, critical under 1 kg payload and crosswind-induced drift. Increasing collective pitch compensates for lateral wind forces without inducing excessive drag or stall risk during low-altitude operations. Other options either compromise lift balance or prematurely initiate transition, violating tiltrotor aerodynamic sequencing." 2025-11-01T18:02:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Indoor_Powerline_Inspection_with_Amphibious_UAV_in_Hot_Warehouse_6bb35e0b2c41_mcq.json,uavbench-mcq-v1,Indoor_Powerline_Inspection_with_Amphibious_UAV_in_Hot_Warehouse,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"Given 2 m/s east wind, 8 m max altitude, and 450 Wh battery with 30% reserve, which flight profile balances energy, safety, and coverage in the confined warehouse?","This mission involves an indoor powerline inspection using an amphibious fixed-wing UAV equipped with RGB and thermal cameras, as well as LiDAR for navigation. The operation takes place inside a confined warehouse with a maximum altitude of 8 meters and a geofenced area spanning 20x30 meters. A cylindrical no-fly zone of 2-meter radius is centered at (10,15) and extends from floor to ceiling. The UAV launches from a designated spawn point near the corner and must follow a corridor inspection pattern across four waypoints. Due to the indoor environment, GNSS is unavailable, requiring reliance on IMU, barometer, magnetometer, and LiDAR for positioning. The warehouse has moderate ambient wind of 2 m/s from the east with light gusts, but visibility is good and no adverse weather phenomena are present. The UAV must maintain a minimum altitude of 0.5 meters and avoid collisions with static boundaries and the central NFZ. Battery capacity is limited to 450 Wh, with a reserve of 30% required for safe return. Communication links are stable with no expected uplink or downlink loss. The mission must be completed within 600 seconds, and the UAV is required to use a runway for transition between VTOL and forward flight modes despite the confined space.","Fly at 1 m altitude, 3 m/s, direct path through NFZ center","Maintain 2 m altitude, 5 m/s, straight segments between waypoints","Hover-scan each waypoint, 1.5 m altitude, 2 m/s crosswind","Follow corridor at 6 m altitude, 4 m/s, LiDAR-guided turns","Descend to 0.6 m, 2 m/s, after each waypoint to save energy","Fly 7 m altitude, 6 m/s, banked turns near NFZ edge","Use 1.2 m altitude, 3.5 m/s, S-turns avoiding NFZ by 1 m","[""Fly at 1 m altitude, 3 m/s, direct path through NFZ center"", ""Maintain 2 m altitude, 5 m/s, straight segments between waypoints"", ""Hover-scan each waypoint, 1.5 m altitude, 2 m/s crosswind"", ""Follow corridor at 6 m altitude, 4 m/s, LiDAR-guided turns"", ""Descend to 0.6 m, 2 m/s, after each waypoint to save energy"", ""Fly 7 m altitude, 6 m/s, banked turns near NFZ edge"", ""Use 1.2 m altitude, 3.5 m/s, S-turns avoiding NFZ by 1 m""]","Flying at 6 m altitude provides sufficient clearance from ground effects and wind gusts while staying under 8 m ceiling. At 4 m/s, energy use is balanced with coverage, and LiDAR-guided turns ensure precise NFZ avoidance. This profile maintains aerodynamic stability, satisfies vertical and lateral safety margins, and conserves enough power for return within 600 seconds." 2025-11-01T18:02:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Indoor_Swarm_Thermal_Soaring_in_Dusty_Warehouse_0e27664d3a71_mcq.json,uavbench-mcq-v1,Indoor_Swarm_Thermal_Soaring_in_Dusty_Warehouse,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 580 seconds, one drone detects a person in the corridor with 20-second battery reserve and 3-meter separation required.","Indoor swarm UAV mission in a dusty warehouse environment with poor visibility. The swarm consists of four fixed-wing drones equipped with thermal and RGB cameras, relying on lidar and IMU due to no GNSS availability. Drones operate between 0.5 and 8 meters AGL within a defined polygonal geofence. Wind is present with a vertical profile up to 2.5 m/s and shifting direction at higher altitudes. Thermal updrafts are localized, enabling potential energy-saving thermal soaring. A static no-fly zone and a moving obstacle restrict flight paths, with dynamic no-fly zone also in motion. Drones must maintain a minimum 3-meter separation and avoid collisions with each other and obstacles. Communication suffers from intermittent uplink loss and electromagnetic interference, with weak signal strength. Mission involves surveying a corridor pattern within a 600-second time limit, starting from a designated spawn point. Battery endurance is critical, with reserve power allocated and energy consumption affected by drag and maneuvers.",Continue survey to complete mission before battery depletion,Abort mission and land immediately to preserve drone,Circle person to gather ID data despite low battery,Ascend rapidly to relay thermal data through dust,Approach within 1 meter for high-res facial recognition,Divert to geofence edge for emergency signal transmission,Descend to 1 meter AGL and hover near person for rescue,"[""Continue survey to complete mission before battery depletion"", ""Abort mission and land immediately to preserve drone"", ""Circle person to gather ID data despite low battery"", ""Ascend rapidly to relay thermal data through dust"", ""Approach within 1 meter for high-res facial recognition"", ""Divert to geofence edge for emergency signal transmission"", ""Descend to 1 meter AGL and hover near person for rescue""]","Human safety overrides mission completion; hovering near the person at safe altitude enables rescue coordination without collision risk. Other options either endanger the individual, violate separation, or neglect duty to assist in emergencies." 2025-11-01T18:02:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Indoor_Solar_Wing_Thermal_Soaring_in_Rain_ca96f72c93d2_mcq.json,uavbench-mcq-v1,Indoor_Solar_Wing_Thermal_Soaring_in_Rain,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"At 240s, GNSS fails for 30s with a dynamic no-fly zone moving at 2 m/s; wind is 3 m/s from 135°. Maintain altitude between 1–12 m AGL.","This is an indoor inspection mission using a solar wing UAV in a warehouse environment. The UAV operates within a confined airspace bounded by a polygonal geofence, with altitude restricted between 1 and 12 meters AGL. Weather includes light rain and poor visibility, with a constant wind from 135 degrees at 3 m/s and gusts up to 2 m/s. The UAV is equipped with standard sensors including GNSS, IMU, and lidar, but lacks thermal imaging. It must avoid two no-fly zones, one static and one dynamic moving across the space. Thermal updrafts are present, allowing potential energy harvesting for extended flight. GNSS signals are degraded due to multipath effects and a planned 30-second jamming fault at 240 seconds into the mission. Communication suffers from intermittent downlink losses, reducing telemetry availability. The UAV must complete a corridor-style waypoint mission while maintaining separation from a moving obstacle and another UAV.",Continue mission using lidar and IMU to track position,Climb to 15 m AGL to escape no-fly zone collision,Descend to 0.5 m AGL to avoid dynamic obstacle,Fly through no-fly zone to maintain schedule,Land immediately in nearest corridor zone,"Rely solely on GNSS during jamming, assuming signal stability",Disable geofence limits to allow reroute around hazard,"[""Continue mission using lidar and IMU to track position"", ""Climb to 15 m AGL to escape no-fly zone collision"", ""Descend to 0.5 m AGL to avoid dynamic obstacle"", ""Fly through no-fly zone to maintain schedule"", ""Land immediately in nearest corridor zone"", ""Rely solely on GNSS during jamming, assuming signal stability"", ""Disable geofence limits to allow reroute around hazard""]","GNSS outage requires sensor redundancy; lidar and IMU enable safe navigation within geofence. Continuing with available sensors maintains mission safety and legal compliance. Other options violate altitude bounds, airspace rules, or system integrity during critical faults." 2025-11-01T18:02:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Indoor_Warehouse_Convertiplane_Survey_e2d48f749f16_mcq.json,uavbench-mcq-v1,Indoor_Warehouse_Convertiplane_Survey,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"A convertiplane surveys a warehouse at 30x20 m, 8.0 m AGL max, with static/dynamic NFZs and 2 m separation; what action avoids risks at waypoint 3?","This mission involves a convertiplane UAV conducting an indoor warehouse survey. The flight occurs entirely indoors with no GNSS available, relying on onboard sensors like IMU, barometer, lidar, and camera. The UAV is equipped with a 0.5 kg payload and uses battery power with a 30% reserve requirement. Weather is calm with minimal wind and good visibility, typical for indoor environments. The airspace is confined to a 30x20 meter warehouse with altitude limits between 0.5 and 8.0 meters AGL. A static no-fly zone is present as a cylinder near the center, and a dynamic no-fly zone moves slowly through the space. Another UAV and a moving spherical obstacle add complexity, requiring real-time separation management. The mission follows a grid survey pattern with five waypoints and a time budget of 600 seconds. Key constraints include avoiding NFZ breaches, maintaining separation of at least 2 meters, and operating without runway support. The UAV transitions between vertical and forward flight using a defined tilt profile.",Climb to 7.5 m AGL and proceed direct to waypoint 3,"Descend to 1.0 m AGL, delay 30 s, then continue",Hold at current position for 45 seconds,Divert laterally by 3 m and ascend to 6.0 m AGL,Transition to forward flight and accelerate to 8 m/s,Descend to 0.6 m AGL and fly around static NFZ east,Jettison payload and return to start point,"[""Climb to 7.5 m AGL and proceed direct to waypoint 3"", ""Descend to 1.0 m AGL, delay 30 s, then continue"", ""Hold at current position for 45 seconds"", ""Divert laterally by 3 m and ascend to 6.0 m AGL"", ""Transition to forward flight and accelerate to 8 m/s"", ""Descend to 0.6 m AGL and fly around static NFZ east"", ""Jettison payload and return to start point""]","Waypoint 3 proximity to static and dynamic NFZs requires lateral and vertical separation. Option D maintains 2 m clearance while staying within 0.5–8.0 m AGL and preserving battery. Other options violate altitude, separation, endurance, or unnecessarily increase risk." 2025-11-01T18:02:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Indoor_Swarm_Thermal_Soaring_in_Fog_2617baacfcd0_mcq.json,uavbench-mcq-v1,Indoor_Swarm_Thermal_Soaring_in_Fog,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"With 600s mission limit, 5m collision threshold, and no GNSS, how should UAVs maintain secure swarm coordination during uplink loss?","This mission involves a swarm of four UAVs conducting an indoor warehouse survey under poor visibility conditions. The operation takes place entirely indoors with no GNSS availability and significant multipath interference. Weather includes light wind at 2.0 m/s and gusts up to 1.5 m/s, with a developing wind gradient at higher altitudes. The UAVs are fixed-wing rotorcraft hybrids equipped with IMU, barometer, lidar, and RGB cameras, but lack thermal sensors and radar. They rely on sensor fusion and relative positioning due to GNSS denial and electromagnetic interference. The swarm must navigate around a static no-fly zone and a moving obstacle near a dynamic restricted zone. Thermal updrafts are present at the center of the warehouse, which the UAVs may exploit for energy-efficient soaring. Strict separation of at least 3.0 meters is maintained between UAVs, with collision avoidance thresholds set at 5.0 meters and 8 seconds time-to-collision. Communication is partially degraded, with periodic uplink loss, requiring autonomous decision-making. The mission concludes within a 600-second time limit, with success dependent on coverage, safety, and battery endurance.",Increase radio power to override interference,Switch to pre-authorized encrypted mesh relays,Broadcast unencrypted position every 0.5s,Request ground station retransmission on loss,Disable encryption to reduce latency,Use GNSS spoofing to mislead adversaries,Hover until uplink is fully restored,"[""Increase radio power to override interference"", ""Switch to pre-authorized encrypted mesh relays"", ""Broadcast unencrypted position every 0.5s"", ""Request ground station retransmission on loss"", ""Disable encryption to reduce latency"", ""Use GNSS spoofing to mislead adversaries"", ""Hover until uplink is fully restored""]","Encrypted mesh relays preserve confidentiality and availability during uplink loss, enabling authenticated peer-to-peer updates without relying on vulnerable central links. This maintains control stability through resilient, low-latency state sharing, while pre-authorized keys prevent injection attacks during communication gaps." 2025-11-01T18:02:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Indoor_Warehouse_Loiter_with_Quadrotor_1d9938df17f3_mcq.json,uavbench-mcq-v1,Indoor_Warehouse_Loiter_with_Quadrotor,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"Two quadrotors loiter at (3,2) and (7,6) within 10x8 m airspace, 2.0 m separation min. Which action maintains safety and mission efficiency?","This mission involves a quadrotor performing an indoor loiter operation within a warehouse environment. The UAV operates in a confined polygonal airspace measuring 10 by 8 meters with altitude limits between 0.5 and 4.0 meters AGL. Weather conditions are stable with light wind at 1.0 m/s from 90 degrees and no significant weather phenomena. The UAV is a battery-powered quadrotor equipped with lidar, RGB camera, IMU, barometer, and magnetometer, but lacks GNSS due to indoor operation. It carries a 0.2 kg payload and relies on sensor fusion for navigation in the GNSS-denied space. A cylindrical no-fly zone with a 1.0-meter radius is centered at (5.0, 4.0) spanning the full operational altitude. The mission requires orbiting around three waypoints at varying altitudes with a 1.0-meter loiter radius for up to 600 seconds. Separation assurance is monitored with a 2.0-meter threshold and 5.0-second time-to-collision alerting. The UAV must avoid geofence and altitude violations while managing battery reserves, with a starting capacity of 150 Wh. Landing is planned at a preferred site (1.0, 1.0) or an emergency site (9.0, 7.0) if needed.",Both descend to 0.6 m simultaneously,Increase loiter radius to 1.5 m each,Stagger altitudes by 1.0 m between agents,Orbit clockwise at same altitude and speed,Reduce speed to 0.5 m/s within 4.0 m altitude,Align headings toward no-fly zone center,Swap positions using direct reciprocal paths,"[""Both descend to 0.6 m simultaneously"", ""Increase loiter radius to 1.5 m each"", ""Stagger altitudes by 1.0 m between agents"", ""Orbit clockwise at same altitude and speed"", ""Reduce speed to 0.5 m/s within 4.0 m altitude"", ""Align headings toward no-fly zone center"", ""Swap positions using direct reciprocal paths""]","Staggering altitudes ensures vertical separation, satisfying the 2.0 m threshold while enabling concurrent loiter. It preserves communication and situational awareness without lateral deviation. Other options risk collision, geofence breach, or loss of coordination." 2025-11-01T18:02:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Industrial_Plant_Aerial_Mapping_in_Snowfall_b4c9ef5b8389_mcq.json,uavbench-mcq-v1,Industrial_Plant_Aerial_Mapping_in_Snowfall,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"After icing at 180s, winds at 7.2 m/s, and comms loss, which action maximizes mapping completion within 600s while ensuring return?","Heavy-lift UAV conducts aerial mapping at an industrial plant during moderate snowfall and icing conditions. The mission operates within a 200m x 300m geofenced area, with a flight altitude between 10m and 120m AGL. Weather includes 7.2 m/s winds from 240°, gusts up to 4.1 m/s, and poor visibility due to snow. The UAV is equipped with RGB camera, LiDAR, GNSS, IMU, and other standard sensors for navigation and data collection. A static no-fly zone blocks access to a central cylindrical region, while a second dynamic no-fly zone moves across the site. A moving spherical obstacle and another UAV traffic agent introduce collision risks requiring active separation. The UAV must maintain at least 25m separation with time-to-collision threshold of 15 seconds for DAA compliance. An icing event occurs at 180 seconds, reducing performance for one minute with 60% severity. Brief communication losses occur between 100–110s and 250–260s, affecting uplink and downlink. The mission must complete within 600 seconds, returning to the preferred landing site near the start position.","Increase speed to cover area faster, ignoring dynamic obstacles",Descend to 10m AGL to reduce wind resistance and save power,"Disable LiDAR to cut power use, relying only on RGB camera",Climb to 120m for better GNSS signal and wider camera coverage,"Hover for 30s post-icing to reassess, then resume original path",Abort mission immediately and return to base,"Reduce altitude and slow speed, prioritizing obstacle avoidance","[""Increase speed to cover area faster, ignoring dynamic obstacles"", ""Descend to 10m AGL to reduce wind resistance and save power"", ""Disable LiDAR to cut power use, relying only on RGB camera"", ""Climb to 120m for better GNSS signal and wider camera coverage"", ""Hover for 30s post-icing to reassess, then resume original path"", ""Abort mission immediately and return to base"", ""Reduce altitude and slow speed, prioritizing obstacle avoidance""]","Disabling LiDAR reduces power draw, conserving energy for flight and communication during critical periods. It allows continued mapping with RGB under poor visibility while maintaining safe separation and return within endurance limits. Other options either increase energy use, risk collision, or waste time unnecessarily." 2025-11-01T18:02:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Industrial_Plant_Aerial_Mapping_with_Glider_in_Cold_Conditions_d3a8de8d402e_mcq.json,uavbench-mcq-v1,Industrial_Plant_Aerial_Mapping_with_Glider_in_Cold_Conditions,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Glider UAV maps at 30–150 m AGL with 12 m/s winds, icing, and GNSS issues; must avoid static and moving no-fly zones while following grid pattern.","A glider UAV conducts aerial mapping at an industrial plant with cold weather and icing conditions. The mission operates within a defined polygonal airspace from 30 to 150 meters AGL. Strong winds up to 12 m/s occur at higher altitudes, with a west-to-northwesterly shift in direction. The UAV is equipped with RGB and thermal cameras for payload imaging. GNSS signals face multipath interference and moderate jamming, with additional electromagnetic interference present. A static no-fly zone and a moving no-fly cylinder must be avoided during flight. A second UAV enters the airspace on an opposing heading, requiring separation management. Thermal updrafts near structures provide potential lift, but an icing fault reduces aerodynamic efficiency temporarily. The glider must follow a grid pattern while managing battery reserves and adhering to runway-based takeoff and landing requirements.",Descend below 30 m AGL to reduce wind impact and save battery,Climb above 150 m AGL for clearer GNSS and smoother airflow,Deviate eastward around moving NFZ while maintaining 100 m AGL,Proceed directly through west-side thermal updrafts at 140 m AGL,Reverse grid order to exploit tailwinds despite GNSS multipath,Turn sharply west into crosswind to intercept next waypoint early,Delay re-routing until 500 m from static NFZ edge,"[""Descend below 30 m AGL to reduce wind impact and save battery"", ""Climb above 150 m AGL for clearer GNSS and smoother airflow"", ""Deviate eastward around moving NFZ while maintaining 100 m AGL"", ""Proceed directly through west-side thermal updrafts at 140 m AGL"", ""Reverse grid order to exploit tailwinds despite GNSS multipath"", ""Turn sharply west into crosswind to intercept next waypoint early"", ""Delay re-routing until 500 m from static NFZ edge""]",Maintaining 100 m AGL stays within approved airspace and avoids icing risks at lower altitudes. Eastward deviation safely circumvents the moving no-fly cylinder with sufficient separation margin. This preserves grid coverage efficiency while accounting for GNSS drift and wind-induced navigation uncertainty. 2025-11-01T18:02:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Industrial_Plant_Border_Patrol_under_Icing_Conditions_ec5a16d64968_mcq.json,uavbench-mcq-v1,Industrial_Plant_Border_Patrol_under_Icing_Conditions,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,A,False,"At 110 m AGL, 14 m/s winds from 285°, and a dynamic NFZ encroaching within 30 m of the corridor, which maneuver maintains mission integrity?","This is a border patrol inspection mission at an industrial plant using a fuel-powered helicopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The UAV operates within a defined polygonal airspace between 10 and 120 meters AGL, following a rectangular corridor pattern. The environment features poor visibility and hazardous icing conditions, with a scheduled icing event reducing performance mid-mission. Winds increase with altitude, reaching 14 m/s from 285° at 100 meters, and thermal updrafts near structures create localized turbulence. GNSS signals suffer from multipath effects and moderate jamming at -75 dBm, compounded by electromagnetic interference. A static no-fly zone surrounds a central plant structure, while a dynamic no-fly zone moves near the flight path, requiring real-time avoidance. A second UAV and a moving spherical obstacle traverse the area, with a 25-meter separation minimum enforced for collision avoidance. Communication experiences brief uplink/downlink outages, and the UAV must return to its preferred landing site within a 600-second time limit. The mission emphasizes resilience to sensor degradation, energy management, and adherence to airspace constraints despite environmental and operational hazards.","Descend to 80 m AGL, adjust heading to 295°, bypass NFZ eastward","Climb to 125 m AGL, accelerate to 22 m/s, fly direct next waypoint","Hold altitude, reduce speed to 10 m/s, proceed through NFZ edge","Turn right 180°, retreat to last safe waypoint at 100 m AGL","Shift left 40 m, maintain 110 m AGL, resume track after NFZ passes","Descend to 5 m AGL, fly under thermal updrafts near structure","Ascend to 120 m AGL, bank 45°, cut across static NFZ to save time","[""Descend to 80 m AGL, adjust heading to 295°, bypass NFZ eastward"", ""Climb to 125 m AGL, accelerate to 22 m/s, fly direct next waypoint"", ""Hold altitude, reduce speed to 10 m/s, proceed through NFZ edge"", ""Turn right 180°, retreat to last safe waypoint at 100 m AGL"", ""Shift left 40 m, maintain 110 m AGL, resume track after NFZ passes"", ""Descend to 5 m AGL, fly under thermal updrafts near structure"", ""Ascend to 120 m AGL, bank 45°, cut across static NFZ to save time""]","Descending to 80 m AGL reduces wind exposure and avoids the dynamic NFZ while staying within permitted altitudes. Eastward bypass maintains corridor alignment with minimal detour, preserving timing and energy. Other options violate NFZs, exceed altitude limits, or increase risk in icing and turbulence." 2025-11-01T18:02:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Industrial_Plant_Disaster_Reconnaissance_with_Swarm_Drones_in_Low_Visibility_3877631f1aae_mcq.json,uavbench-mcq-v1,Industrial_Plant_Disaster_Reconnaissance_with_Swarm_Drones_in_Low_Visibility,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which drone configuration best balances 6.5 m/s winds, 30% battery reserve, and 600-second endurance in smoke-affected reconnaissance?","Swarm drones conduct disaster reconnaissance at an industrial plant with poor visibility due to smoke and low clouds. The mission involves inspecting critical infrastructure using a coordinated four-drone swarm flying in a corridor pattern. Operating in challenging weather, the drones face 6.5 m/s winds with gusts and shifting wind profiles up to 8 m/s at higher altitudes. Each drone is equipped with thermal and RGB cameras, LiDAR, radar, and full sensor suite for navigation in degraded conditions. GNSS signals are degraded by multipath effects and moderate jamming at -75 dBm, requiring robust sensor fusion. The airspace includes static and moving no-fly zones, with one dynamic hazard drifting through the site. Drones must maintain at least 8 meters separation and avoid collisions with obstacles, including a slowly descending spherical hazard. A relay drone ensures communication continuity despite two brief downlink loss events during the flight. Battery endurance is critical, with a 30% reserve required and high power draw from sensors and wind resistance. The mission must be completed within 600 seconds while adhering to altitude limits between 5 and 120 meters AGL.",Lightweight quadcopter with minimal sensors,Fixed-wing with high-speed coverage but poor hover,Octocopter with dual batteries and full sensor suite,Single-rotor UAV with mechanical simplicity,Nano-drone swarm with intermittent GNSS reliance,Hybrid VTOL with radar but limited power redundancy,Tri-copter with low energy use but weak gust rejection,"[""Lightweight quadcopter with minimal sensors"", ""Fixed-wing with high-speed coverage but poor hover"", ""Octocopter with dual batteries and full sensor suite"", ""Single-rotor UAV with mechanical simplicity"", ""Nano-drone swarm with intermittent GNSS reliance"", ""Hybrid VTOL with radar but limited power redundancy"", ""Tri-copter with low energy use but weak gust rejection""]","The octocopter provides superior gust tolerance and redundancy in 6.5 m/s winds with gusts up to 8 m/s. Its dual batteries support 30% reserve and high sensor load within 600 seconds. Full sensor suite ensures navigation in degraded GNSS and visibility, unlike simpler or less redundant options." 2025-11-01T18:02:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Industrial_Plant_Inspection_with_Octocopter_under_Gusts_baa5db1a221c_mcq.json,uavbench-mcq-v1,Industrial_Plant_Inspection_with_Octocopter_under_Gusts,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"Plan a 10-minute survey with waypoints avoiding a 20m-radius NFZ at (100,75) from 5–40m AGL and 8 m/s wind from 240°.","This is a waypoint survey mission for inspecting an industrial plant using an octocopter UAV. The flight occurs within a defined polygon airspace bounded from 5 to 60 meters AGL. Weather includes a steady 8 m/s wind from 240 degrees with 4.5 m/s gusts, requiring stable flight control. The octocopter carries a dual payload of RGB and thermal cameras for visual inspection. A cylindrical no-fly zone with a 20-meter radius is centered at (100, 75) meters, extending from 5 to 40 meters altitude. The UAV must maintain separation from this NFZ and a moving obstacle entering from the south boundary. A second UAV traffic agent flies westward at 10 m/s outside the main geofence but near the operational area. GNSS signals may experience multipath effects due to industrial structures. Battery endurance is critical, with a 30% reserve required and a 10-minute time budget. The mission emphasizes safe navigation, obstacle avoidance, and timely completion within strict airspace constraints.",Fly direct to all waypoints at 45m AGL to avoid NFZ vertically,"Approach NFZ at 38m AGL, circle left at 25m horizontal clearance",Descend to 6m AGL near NFZ to exploit lower wind turbulence,Reroute eastward at 55m AGL to clear NFZ and gust buffer,Maintain 10m horizontal separation from NFZ boundary at 30m AGL,Delay waypoint progression to synchronize with obstacle exit,Cut through NFZ between 41–45m AGL where no-fly restriction ends,"[""Fly direct to all waypoints at 45m AGL to avoid NFZ vertically"", ""Approach NFZ at 38m AGL, circle left at 25m horizontal clearance"", ""Descend to 6m AGL near NFZ to exploit lower wind turbulence"", ""Reroute eastward at 55m AGL to clear NFZ and gust buffer"", ""Maintain 10m horizontal separation from NFZ boundary at 30m AGL"", ""Delay waypoint progression to synchronize with obstacle exit"", ""Cut through NFZ between 41–45m AGL where no-fly restriction ends""]","Option D safely clears the NFZ’s 20m radius and 5–40m altitude zone with horizontal and vertical margin, while flying eastward compensates for 8 m/s west-originating wind to reduce drift-induced positioning errors. It operates at 55m AGL within the 60m ceiling, preserving battery by minimizing corrective thrust and avoiding GNSS multipath near structures. Other options breach NFZ boundaries, fly in restricted altitude layers, or increase collision risk due to inadequate separation or gust-induced instability." 2025-11-01T18:02:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Industrial_Plant_Mapping_in_Sandstorm_1f8d43f239f1_mcq.json,uavbench-mcq-v1,Industrial_Plant_Mapping_in_Sandstorm,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"At 30m altitude with 13 m/s shifting winds and sandstorm visibility under 50m, which navigation strategy maintains mapping accuracy during GNSS jamming?","This mission involves a mapping operation at an industrial plant using a convertiplane UAV equipped with RGB and thermal cameras, LiDAR, and radar. The airspace is constrained by a fixed polygonal boundary with a minimum altitude of 10 meters and a maximum of 120 meters AGL. A static no-fly zone blocks the central area of the plant, while a dynamic no-fly zone moves slowly through the southern section. The UAV must follow a grid pattern at 30 meters altitude, avoiding obstacles and completing the survey within 600 seconds. Strong winds up to 13 m/s increase with altitude and shift direction, compounded by a sandstorm that reduces visibility and introduces sensor noise. GNSS signals suffer from multipath effects and moderate jamming, with a simulated GNSS jamming fault occurring mid-mission. Electromagnetic interference and intermittent comms loss further challenge navigation and control. The UAV must use a designated runway for takeoff and landing, with preferred and emergency landing sites at opposite corners of the site. Traffic includes a single intruder UAV approaching from outside the airspace on a collision course. The convertiplane’s transition between hover and forward flight adds complexity, especially in gusty, turbulent conditions near structures.",Rely solely on GNSS with Kalman filtering for drift correction,Switch to IMU-visual-inertial odometry with LiDAR feature alignment,Use radar-only terrain matching at reduced speed,Descend to 15m to minimize wind effects and boost GNSS signal,Increase altitude to 100m for clearer radar returns,Follow grid pattern using thermal-camera SLAM exclusively,Halt mission and hover using RGB optical flow at 30m,"[""Rely solely on GNSS with Kalman filtering for drift correction"", ""Switch to IMU-visual-inertial odometry with LiDAR feature alignment"", ""Use radar-only terrain matching at reduced speed"", ""Descend to 15m to minimize wind effects and boost GNSS signal"", ""Increase altitude to 100m for clearer radar returns"", ""Follow grid pattern using thermal-camera SLAM exclusively"", ""Halt mission and hover using RGB optical flow at 30m""]","Visual-inertial odometry fused with LiDAR features compensates for GNSS outages and sandstorm-induced visual noise. LiDAR provides structural alignment despite low visibility, while IMU bridges sensor gaps during turbulence. This fusion maintains positioning integrity within the constrained airspace and ensures mission continuity." 2025-11-01T18:02:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Industrial_Powerline_Inspection_with_VTOL_Tiltrotor_4dfa93461f22_mcq.json,uavbench-mcq-v1,Industrial_Powerline_Inspection_with_VTOL_Tiltrotor,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,Which system ensures navigation resilience during 30s GNSS jamming at 200s and 6–11 m/s winds with multipath interference?,"This is an industrial powerline inspection mission using a VTOL tiltrotor UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place within a defined industrial plant airspace bounded by a polygonal geofence, with a minimum altitude of 5 meters and a maximum of 120 meters AGL. Weather conditions include a 6 m/s wind from 240 degrees, increasing with altitude up to 11 m/s, along with gusts and thermal updrafts affecting flight stability. A static no-fly zone surrounds a critical facility, and a dynamic no-fly zone moves slowly through the area, requiring real-time avoidance. The UAV must follow a predefined corridor pattern between five waypoints, transitioning between hover and forward flight, with a requirement to use a designated runway for landing. Significant environmental challenges include GNSS multipath effects, electromagnetic interference, and a planned 30-second GNSS jamming event at 200 seconds into the mission. A second fault simulates a moderate thermal updraft near a plume center, impacting control at low altitudes. Air traffic includes a single intruder UAV approaching from outside the airspace, and a moving spherical obstacle descends through the inspection zone. Communication links experience two brief downlink loss windows, requiring resilient data handling and monitoring. The mission emphasizes navigation resilience, sensor performance, and strict adherence to separation and airspace constraints.",Pure GNSS-dependent autopilot with no inertial backup,GPS-aided IMU with terrain correlation fallback,Vision-only navigation using RGB camera feed,LiDAR SLAM with thermal updraft compensation,Magnetometer-based heading with barometric altitude,RF triangulation from plant perimeter beacons,Pre-mapped route with dead reckoning and sensor fusion,"[""Pure GNSS-dependent autopilot with no inertial backup"", ""GPS-aided IMU with terrain correlation fallback"", ""Vision-only navigation using RGB camera feed"", ""LiDAR SLAM with thermal updraft compensation"", ""Magnetometer-based heading with barometric altitude"", ""RF triangulation from plant perimeter beacons"", ""Pre-mapped route with dead reckoning and sensor fusion""]","System G combines dead reckoning with sensor fusion, maintaining accuracy during GNSS denial and wind disturbances. It leverages LiDAR, IMU, and visual data to correct drift, unlike single-source systems. This provides optimal fault tolerance, environmental adaptability, and adherence to flight constraints under combined faults." 2025-11-01T18:02:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Industrial_Plant_Recon_with_Swarm_Drones_e15629a471d1_mcq.json,uavbench-mcq-v1,Industrial_Plant_Recon_with_Swarm_Drones,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,B,False,"Given 7.5 m/s winds and a 120m AGL ceiling, which strategy balances energy, separation, and obstacle avoidance for the swarm?","This mission involves a swarm of four fixed-wing drones conducting area reconnaissance over an industrial plant. The operation takes place within a defined polygonal airspace bounded from 20 to 120 meters AGL. Weather conditions include a 7.5 m/s wind from 240 degrees with moderate gusts up to 4.2 m/s, though visibility is good. Each drone is equipped with RGB and thermal cameras, LIDAR, GNSS, IMU, and other standard sensors, carrying a 0.3 kg payload. The swarm must avoid a static no-fly cylinder centered at (100, 75) and a moving no-fly zone drifting at 2.2 m/s. Additional dynamic obstacles include a moving sphere and another drone on a fixed trajectory, requiring strict separation of at least 15 meters between swarm members. Communication experiences brief downlink outages between 120–130 and 450–465 seconds. The drones must complete their waypoint corridor pattern within 600 seconds while maintaining battery reserves and avoiding geofence or DAA breaches. Key constraints include GNSS multipath risks near structures, swarm coordination, and collision avoidance in a cluttered, dynamic environment.",Fly at 25 m AGL to minimize wind impact and save energy,Climb to 115 m AGL for better GNSS and line-of-sight comms,Reduce speed to 12 m/s for stable flight in gusts up to 4.2 m/s,Descend below 20 m AGL to avoid moving sphere at 30 m,Increase separation to 25 m for safety near the static no-fly zone,Pause at waypoints during downlink outages to conserve battery,Fly direct paths at max speed to finish before 600 seconds,"[""Fly at 25 m AGL to minimize wind impact and save energy"", ""Climb to 115 m AGL for better GNSS and line-of-sight comms"", ""Reduce speed to 12 m/s for stable flight in gusts up to 4.2 m/s"", ""Descend below 20 m AGL to avoid moving sphere at 30 m"", ""Increase separation to 25 m for safety near the static no-fly zone"", ""Pause at waypoints during downlink outages to conserve battery"", ""Fly direct paths at max speed to finish before 600 seconds""]","Flying at 115 m AGL maximizes clearance from dynamic obstacles and reduces GNSS multipath near structures, while maintaining safe separation and communication resilience. It balances aerodynamic stability in moderate gusts and ensures navigation accuracy, avoiding geofence and DAA breaches. This altitude preserves energy by enabling efficient cruise speeds without compromising mission timing or coordination during communication outages." 2025-11-01T18:02:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Industrial_Tower_Spiral_Inspection_with_Gusts_4c551268fbc1_mcq.json,uavbench-mcq-v1,Industrial_Tower_Spiral_Inspection_with_Gusts,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"Begin spiral at 28m AGL, wind 8.5 m/s; avoid cylindrical NFZ and moving obstacle within 600s.","This scenario involves a UAV conducting a spiral inspection of an industrial tower within a confined plant area. The mission takes place in a defined airspace with a geofenced polygon and both static and dynamic no-fly zones. Weather conditions include strong winds at 8.5 m/s from 240 degrees with gusts up to 4.7 m/s, challenging stability and navigation. The UAV is a single-rotor helicopter equipped with RGB and thermal cameras for visual inspection. It operates under battery power with a total capacity of 450 Wh and carries a 0.5 kg payload. GNSS, IMU, barometer, and magnetometer provide navigation, though wind gusts and industrial structures may cause multipath interference. The UAV must avoid a cylindrical NFZ around the tower and a moving obstacle drifting through the area. Another UAV is present, flying through the airspace, requiring separation monitoring to meet DAA thresholds. Communication experiences brief downlink outages, and the mission must complete within 600 seconds while maintaining safe battery reserves.","Climb to 40m AGL, then spiral down slowly","Descend to 20m AGL, spiral at minimum altitude",Delay start by 60s to wait for wind lull,"Proceed at 28m AGL, reduce speed in gusts","Divert to edge, fly parallel to NFZ boundary","Abort mission, return to home at 5m/s",Accelerate spiral to finish before battery drain,"[""Climb to 40m AGL, then spiral down slowly"", ""Descend to 20m AGL, spiral at minimum altitude"", ""Delay start by 60s to wait for wind lull"", ""Proceed at 28m AGL, reduce speed in gusts"", ""Divert to edge, fly parallel to NFZ boundary"", ""Abort mission, return to home at 5m/s"", ""Accelerate spiral to finish before battery drain""]","Maintaining 28m AGL respects NFZ clearance and wind-induced control limits. It avoids delay or altitude changes that increase risk or violate time/endurance constraints. Other options breach separation, reduce stability, or waste energy." 2025-11-01T18:02:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/JungleSwarmWaypointSurvey_00d10be4c4ed_mcq.json,uavbench-mcq-v1,JungleSwarmWaypointSurvey,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,Which UAV role ensures swarm communication continuity during 200s/500s dropouts and GNSS interference in jungle airspace?,"Multi-drone survey mission in dense jungle airspace with poor visibility and icing conditions. Four UAVs operate as a coordinated swarm with leader, follower, scout, and relay roles. Each drone is equipped with RGB camera, LiDAR, and standard navigation sensors but faces GNSS multipath and electromagnetic interference. Mission involves grid waypoint survey at 30m altitude within a 400m x 400m fenced area bounded by minimum 10m and maximum 120m AGL. A static no-fly zone and a moving no-fly cylinder challenge path planning, requiring dynamic avoidance. Crosswinds increase with altitude, gusting up to 3.2 m/s, with wind direction shifting from 240° to 260° between ground and 50m. Thermal updrafts near coordinates (320, 210) provide lift but complicate stability. An icing fault reduces performance for 60 seconds starting at 350 simulation steps, affecting all swarm members. Uplink and downlink suffer brief communication dropouts at 200s and 500s, testing autonomy resilience. Traffic includes a single intruder UAV flying north at 8 m/s, requiring DAA compliance with 25m separation minimum.",Leader maintains formation via real-time GNSS updates,Follower uses LiDAR for precise relative positioning,Scout detects thermal updrafts to boost energy efficiency,Relay stores and forwards data during link outages,Leader adjusts altitude to minimize crosswind gust impact,Follower replicates scout's path for redundancy,Scout avoids icing zone to preserve sensor function,"[""Leader maintains formation via real-time GNSS updates"", ""Follower uses LiDAR for precise relative positioning"", ""Scout detects thermal updrafts to boost energy efficiency"", ""Relay stores and forwards data during link outages"", ""Leader adjusts altitude to minimize crosswind gust impact"", ""Follower replicates scout's path for redundancy"", ""Scout avoids icing zone to preserve sensor function""]","The relay role is critical for maintaining data flow during communication dropouts at 200s and 500s, especially with GNSS multipath and interference. It enables store-and-forward capability, ensuring command persistence without real-time links. Other roles lack this specific resilience, making D optimal for autonomy and swarm cohesion under disrupted uplink/downlink." 2025-11-01T18:02:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Jungle_Border_Patrol_with_Thermal_Updrafts_34db8a683262_mcq.json,uavbench-mcq-v1,Jungle_Border_Patrol_with_Thermal_Updrafts,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,A fixed-wing UAV at 450m AGL encounters GNSS drift near a moving NFZ while flying at 28 m/s. What is the optimal response?,"Fixed-wing UAV conducts border patrol in dense jungle airspace with thermal updrafts. Mission involves monitoring a defined corridor near a remote border region. Weather includes moderate winds from the south and strong thermal updrafts enhancing lift. UAV equipped with radar, RGB and thermal cameras for全天 surveillance and detection. Operates within 50–600 meters AGL, avoiding static and moving no-fly zones. GNSS signals suffer from multipath and moderate jamming, challenging navigation. A swarm of three UAVs maintains 50-meter separation, with leader, scout, and relay roles. Thermal plumes provide lift opportunities but require precise energy management. Communication experiences brief downlink outages, requiring resilient data handling. Mission requires runway-assisted takeoff and landing with strict time and separation constraints.",Descend to 50m AGL to reduce thermal interference and maintain visual navigation,"Hold current altitude and heading, awaiting GNSS signal recovery",Climb to 600m AGL for clearer signals and reduced multipath effects,Turn east with 300m radius to bypass NFZ while staying in thermal updraft band,Accelerate to 35 m/s to minimize exposure time near the NFZ boundary,Drop to 100m AGL and align with jungle canopy for terrain matching,Initiate immediate landing sequence at nearest runway within corridor,"[""Descend to 50m AGL to reduce thermal interference and maintain visual navigation"", ""Hold current altitude and heading, awaiting GNSS signal recovery"", ""Climb to 600m AGL for clearer signals and reduced multipath effects"", ""Turn east with 300m radius to bypass NFZ while staying in thermal updraft band"", ""Accelerate to 35 m/s to minimize exposure time near the NFZ boundary"", ""Drop to 100m AGL and align with jungle canopy for terrain matching"", ""Initiate immediate landing sequence at nearest runway within corridor""]","Climbing or descending excessively risks leaving efficient thermal lift zones or violating AGL limits. Holding or accelerating compromises safety near a moving NFZ. Option D balances obstacle avoidance, energy use, and navigation resilience by using turn radius to adapt while staying within optimal altitude and thermal bands." 2025-11-01T18:02:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Jungle_Glider_Search_and_Rescue_under_Microburst_Risk_b4a44732f5fe_mcq.json,uavbench-mcq-v1,Jungle_Glider_Search_and_Rescue_under_Microburst_Risk,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Given 30% battery reserve, 900s mission cap, and 30s uplink loss at 210s, which strategy maximizes search coverage while ensuring return?","This is a search and rescue mission conducted in a dense jungle environment using a fixed-wing glider UAV. The glider is equipped with RGB and thermal cameras for visual detection and operates within an altitude range of 10 to 150 meters above ground. The area experiences strong winds up to 15 m/s with shifting direction at higher altitudes and carries a risk of microbursts, requiring careful flight management. GNSS signals are degraded due to canopy cover and multipath effects, and electromagnetic interference further challenges navigation. A static no-fly zone blocks access around a central area, while a moving no-fly zone drifts through the operational space, adding dynamic constraint. The UAV must follow a corridor search pattern across five waypoints while avoiding collisions with a single traffic UAV and a moving spherical obstacle. Communication includes a 30-second uplink loss at 210 seconds, simulating lost command during critical operations. Battery endurance is limited, with a reserve fraction of 30% to ensure safe return. Two emergency landing sites are available, and the mission must be completed within 900 seconds. The glider relies on energy-efficient soaring, potentially using thermal updrafts to extend range and maintain lift in poor visibility conditions.",Fly direct routes at 150m to avoid wind shear and save energy,Use thermal updrafts to extend loiter time without propulsion,Increase camera frame rate during uplink loss for better data,Climb continuously to improve GNSS signal acquisition,Circle moving obstacle to maintain visual tracking,Descend to 10m to reduce wind impact and communication loss,Abort after three waypoints to preserve battery,"[""Fly direct routes at 150m to avoid wind shear and save energy"", ""Use thermal updrafts to extend loiter time without propulsion"", ""Increase camera frame rate during uplink loss for better data"", ""Climb continuously to improve GNSS signal acquisition"", ""Circle moving obstacle to maintain visual tracking"", ""Descend to 10m to reduce wind impact and communication loss"", ""Abort after three waypoints to preserve battery""]","Exploiting thermal updrafts conserves battery by minimizing active lift, directly extending operational time within the 30% reserve. It enables full corridor coverage while maintaining safe return under wind and communication constraints. Other options either increase power use, reduce efficiency, or sacrifice mission completion." 2025-11-01T18:02:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Jungle_Icing_Survey_Mission_d0785b458953_mcq.json,uavbench-mcq-v1,Jungle_Icing_Survey_Mission,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"At 120s, icing reduces efficiency; a traffic UAV crosses westward at 1200m. How should the survey UAV respond to maintain 50m separation and mission integrity?","This is a high-altitude jungle survey mission using a solar-assisted battery-powered pseudo-satellite UAV equipped with radar, RGB, and thermal cameras. The UAV operates between 500 and 2500 meters AGL within a defined 2km x 2km polygon airspace over dense jungle terrain. Weather includes strong winds up to 16 m/s, poor visibility, and icing conditions that temporarily degrade performance. A critical no-fly zone is present near the center, with an additional moving no-fly cylinder drifting northwest. The mission involves a grid survey pattern across five waypoints, requiring precise navigation despite GNSS multipath, jamming, and electromagnetic interference. Thermal updrafts at two locations may assist lift but must be managed carefully. A single traffic UAV enters from the east, flying westward at 1200 meters. The UAV must maintain 50-meter separation from traffic and avoid a moving spherical obstacle near waypoint two. Communication dropouts occur briefly at 400 and 700 seconds, limiting ground control reliability. An icing fault triggers at 120 seconds, reducing efficiency for 90 seconds, compounding energy management challenges in cold, turbulent air.",Climb to 1300m to gain thermal lift and avoid traffic,Descend to 1100m and adjust grid timing to avoid conflict,Hold position at 1200m until traffic clears the sector,Accelerate west to pass in front of traffic UAV,Shift survey grid north to bypass moving no-fly cylinder,Enter standby mode until communication resumes at 400s,Transmit priority alert and request ground override,"[""Climb to 1300m to gain thermal lift and avoid traffic"", ""Descend to 1100m and adjust grid timing to avoid conflict"", ""Hold position at 1200m until traffic clears the sector"", ""Accelerate west to pass in front of traffic UAV"", ""Shift survey grid north to bypass moving no-fly cylinder"", ""Enter standby mode until communication resumes at 400s"", ""Transmit priority alert and request ground override""]","Descending to 1100m maintains vertical separation from the 1200m traffic UAV while preserving survey timing. This avoids conflict, respects communication dropouts at 400s, and adapts to reduced lift during icing without compromising energy margins or grid coverage." 2025-11-01T18:02:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Jungle_Package_Delivery_with_Glider_in_Hail_bc5c678abfc3_mcq.json,uavbench-mcq-v1,Jungle_Package_Delivery_with_Glider_in_Hail,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,Which route avoids the drifting obstacle at 2.5 m/s and maintains 25 m separation from a traffic UAV at 12 m/s within 600 seconds?,"This is a jungle-based package delivery mission using a fixed-wing glider UAV equipped with RGB camera and LiDAR payload. The operation takes place in dense jungle airspace with a maximum altitude limit of 150 meters AGL and a minimum safe altitude of 10 meters. Weather conditions include strong winds up to 10 m/s, poor visibility, and active hail, creating hazardous flight conditions. The glider must navigate around static and moving no-fly zones, including a dynamic obstacle drifting at 2.5 m/s. GNSS signals are degraded due to multipath effects and electromagnetic interference, limiting navigation reliability. A traffic UAV crosses the path at 12 m/s, requiring separation maintenance of at least 25 meters. The mission involves three waypoints in a corridor pattern, with a final delivery landing at a preferred site near the edge of the map. An icing event occurs mid-flight, reducing aerodynamic performance for 60 seconds. Communication dropouts are expected between 300–310 and 500–515 seconds, challenging command reliability. The UAV must complete the mission within 600 seconds while managing battery reserves and avoiding terrain, obstacles, and airspace violations.","Climb to 150 m AGL, fly direct to all waypoints","Descend to 10 m AGL, bypass obstacle west, no delay","Follow corridor, delay Wpt2 by 40 s to avoid traffic",Cut east through dynamic NFZ to save 35 s,"Reroute south, maintain 20 m vertical, ignore icing","Advance Wpt1 timing, reduce turn radius to 15 m","Adjust heading 15° west, delay entry by 10 s, glide at 120 m AGL","[""Climb to 150 m AGL, fly direct to all waypoints"", ""Descend to 10 m AGL, bypass obstacle west, no delay"", ""Follow corridor, delay Wpt2 by 40 s to avoid traffic"", ""Cut east through dynamic NFZ to save 35 s"", ""Reroute south, maintain 20 m vertical, ignore icing"", ""Advance Wpt1 timing, reduce turn radius to 15 m"", ""Adjust heading 15° west, delay entry by 10 s, glide at 120 m AGL""]","Option G safely reroutes around the drifting obstacle with sufficient lateral separation while timing the delay to avoid the traffic UAV. At 120 m AGL, it balances terrain clearance, GNSS uncertainty, and glide efficiency during degraded signals. It accounts for icing-induced performance loss and communication dropouts by minimizing aggressive maneuvers and preserving energy for adaptive control." 2025-11-01T18:02:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Jungle_Pipeline_Inspection_with_VTOL_Tiltrotor_fe6804cdd35f_mcq.json,uavbench-mcq-v1,Jungle_Pipeline_Inspection_with_VTOL_Tiltrotor,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"At 68m AGL, winds from west at 10 m/s, UAV must reroute northeast to avoid dynamic obstacle while maintaining 5–120m AGL and GNSS-denied tolerance.","This is a jungle pipeline inspection mission using a VTOL tiltrotor UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs in a dense jungle environment with poor visibility and icing conditions present. Winds increase with altitude, reaching up to 10 m/s from the west, and gusts add turbulence. The UAV must navigate within a defined corridor between 5 and 120 meters AGL, avoiding static and moving no-fly zones, including a dynamic obstacle drifting northeast. GNSS signals suffer from multipath and moderate jamming, while electromagnetic interference challenges sensor reliability. The mission requires precise waypoint tracking along a corridor pattern, with a mandatory runway landing at the end. An icing fault event reduces performance for one minute midway through the flight, compounding environmental risks. Communication experiences brief uplink/downlink dropouts, requiring robust autonomy. The UAV must manage battery reserves carefully under increased drag and de-icing loads while maintaining separation from a conflicting traffic UAV.",Climb to 130m AGL for smoother winds and faster transit,Descend to 4m AGL to minimize wind exposure under canopy,Hold position until dynamic obstacle exits the corridor,Turn southeast to reuse prior leg with known GNSS fixes,"Proceed direct at 68m AGL, accepting minor GNSS drift",Bank sharply northeast with 25° roll to intercept new leg,"Adjust heading northeast with shallow bank, maintaining 68m AGL and corridor clearance","[""Climb to 130m AGL for smoother winds and faster transit"", ""Descend to 4m AGL to minimize wind exposure under canopy"", ""Hold position until dynamic obstacle exits the corridor"", ""Turn southeast to reuse prior leg with known GNSS fixes"", ""Proceed direct at 68m AGL, accepting minor GNSS drift"", ""Bank sharply northeast with 25° roll to intercept new leg"", ""Adjust heading northeast with shallow bank, maintaining 68m AGL and corridor clearance""]","Option G maintains safe AGL within the 5–120m corridor while adaptively re-routing with minimal energy and GNSS reliance. Shallow banking ensures stability under turbulence and icing effects, preserving separation from the drifting obstacle and avoiding over-banked loss of control." 2025-11-01T18:02:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Jungle_Recon_with_Hexacopter_Amid_Gusts_b2d6d1b9b349_mcq.json,uavbench-mcq-v1,Jungle_Recon_with_Hexacopter_Amid_Gusts,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"At 40m altitude with 6.5 m/s wind from 240°, hexacopter approaches waypoint near dynamic no-fly zone moving at 2.5 m/s.","This is a search and rescue mission conducted in a jungle environment using a battery-powered hexacopter equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The UAV operates within a 200x200 meter geofenced area, maintaining altitudes between 10 and 120 meters AGL. Weather includes a 6.5 m/s wind from 240 degrees with 4.2 m/s gusts, posing stability challenges. A static no-fly zone blocks the central area below 60 meters, while a second dynamic no-fly zone moves southwest at 2.5 m/s. The mission follows a grid search pattern across five waypoints at 40 meters altitude, with a final approach to 30 meters near the center. An additional moving obstacle travels eastward at 1 m/s through the operational airspace. A single other UAV enters from the southeast at 12 m/s, requiring separation assurance. The UAV must maintain at least 25 meters separation with 15 seconds time-to-closest-approach threshold to avoid conflicts. GNSS multipath effects may occur under dense canopy, and safe landing is prioritized at the northeast corner, with an emergency site in the southwest.",Descend immediately to 30m for better camera resolution,Climb to 120m to avoid gusts and extend visibility,Maintain 40m and increase speed to exit early,"Reduce speed, adjust heading to track moving no-fly zone","Ascend to 65m, fly eastward to avoid central static zone",Divert southwest at 10m altitude toward emergency site,Hold position at reduced throttle to conserve battery,"[""Descend immediately to 30m for better camera resolution"", ""Climb to 120m to avoid gusts and extend visibility"", ""Maintain 40m and increase speed to exit early"", ""Reduce speed, adjust heading to track moving no-fly zone"", ""Ascend to 65m, fly eastward to avoid central static zone"", ""Divert southwest at 10m altitude toward emergency site"", ""Hold position at reduced throttle to conserve battery""]","Reducing speed improves control in wind gusts and enables accurate tracking of the moving no-fly zone. Adjusting heading maintains safe lateral separation while preserving energy for the grid pattern. This balances aerodynamic stability, navigation accuracy, and airspace compliance under dynamic constraints." 2025-11-01T18:02:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Jungle_Reconnaissance_with_Fixed-Wing_UAV_b4c833f8c441_mcq.json,uavbench-mcq-v1,Jungle_Reconnaissance_with_Fixed-Wing_UAV,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"At 300 m AGL, 6.5 m/s wind from 210° affects airspeed; what adjustment maintains lift with minimal drag in a corridor search?","Fixed-wing UAV conducts a search and rescue mission in a jungle environment. The operation takes place within a defined polygonal airspace bounded between 100 and 500 meters AGL. Weather includes a 6.5 m/s wind from 210 degrees with moderate gusts up to 3.2 m/s. The UAV is equipped with RGB and thermal cameras for payload, relying on battery power. A no-fly zone cylinder is present at the center of the airspace, restricting flight around coordinates (400, 300). The mission requires adherence to a corridor search pattern with five designated waypoints. A second UAV is present in the airspace, moving at 20 m/s on a 120-degree heading, requiring separation management. A moving spherical obstacle drifts through the area at low speed, posing a dynamic collision risk. Communication experiences two brief downlink loss windows, potentially affecting data transmission. GNSS signals are generally available, but multipath effects may occur due to dense jungle terrain.",Increase angle of attack by 3° to boost lift coefficient,Reduce throttle to decrease parasitic drag by 15%,Bank 45° to tighten turn radius around no-fly zone,Descend to 150 m AGL to exploit higher air density,Pitch up 10° to counteract vertical gust components,Maintain 22 m/s true airspeed into the wind component,Yaw right 5° to align fuselage with relative wind,"[""Increase angle of attack by 3° to boost lift coefficient"", ""Reduce throttle to decrease parasitic drag by 15%"", ""Bank 45° to tighten turn radius around no-fly zone"", ""Descend to 150 m AGL to exploit higher air density"", ""Pitch up 10° to counteract vertical gust components"", ""Maintain 22 m/s true airspeed into the wind component"", ""Yaw right 5° to align fuselage with relative wind""]",Maintaining 22 m/s true airspeed into the 6.5 m/s wind ensures optimal lift-to-drag ratio and consistent Reynolds number for stable boundary layer flow. This balances induced and parasitic drag while preserving control authority during gusts. Other options either exceed critical angle of attack or disrupt aerodynamic efficiency. 2025-11-01T18:02:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Jungle_Runway_Touch-and-Go_with_Convertiplane_9842cd51be49_mcq.json,uavbench-mcq-v1,Jungle_Runway_Touch-and-Go_with_Convertiplane,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best balances wind resilience, obstacle avoidance, and 600-second endurance for a jungle touch-and-go with 6–11 m/s winds?","This is a runway touch-and-go mission using a convertiplane UAV in a jungle environment. The UAV operates within a defined rectangular airspace bounded between 0 and 300 meters AGL. Weather includes a 6 m/s wind from 210° at ground level, increasing to 11 m/s at 200 meters with shifting direction. The convertiplane has a total mass of 8.5 kg, equipped with a battery-powered propulsion system and a camera RGB payload. A static no-fly zone is present near the center of the airspace, and a dynamic no-fly zone moves across the area at low altitude. The mission requires the UAV to perform a touch-and-go maneuver on a 400-meter runway oriented at 80° heading. Wind shear and thermal updrafts near the jungle terrain add complexity to flight control. The UAV must avoid a moving obstacle and maintain separation from another UAV flying through the airspace. GNSS signals are stable with no multipath or jamming issues, but brief communication loss windows occur during the mission. The flight is constrained by battery reserve requirements and must complete within a 600-second time budget.",Fixed-wing with high glide ratio but no hover capability,Quadcopter with VTOL but limited forward speed and range,Convertiplane with tilt rotors and adaptive flight controller,"Glider UAV relying on thermals, no propulsion reserve","Heavy-lift octocopter exceeding mass limits, poor energy efficiency","Fixed-wing with taildragger undercarriage, poor runway alignment","Solar-powered UAV, insufficient battery for wind compensation","[""Fixed-wing with high glide ratio but no hover capability"", ""Quadcopter with VTOL but limited forward speed and range"", ""Convertiplane with tilt rotors and adaptive flight controller"", ""Glider UAV relying on thermals, no propulsion reserve"", ""Heavy-lift octocopter exceeding mass limits, poor energy efficiency"", ""Fixed-wing with taildragger undercarriage, poor runway alignment"", ""Solar-powered UAV, insufficient battery for wind compensation""]","The convertiplane supports VTOL and efficient forward flight, critical for touch-and-go on a 400m runway under wind shear. Its adaptive controller handles turbulence and obstacle avoidance while preserving battery within the 600-second budget. Other options fail in endurance, agility, or environmental adaptability." 2025-11-01T18:02:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Jungle_SAR_with_HAPS_febc91a91f9c_mcq.json,uavbench-mcq-v1,Jungle_SAR_with_HAPS,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,"At 2500 m AGL with 14 m/s winds and GNSS jamming, how should the swarm adjust to maintain search coverage and separation within 900 seconds?","This is a search and rescue mission in a dense jungle environment using a high-altitude pseudo-satellite (HAPS) UAV. The UAV operates between 100 and 3000 meters AGL within a defined polygonal airspace. Weather conditions include strong winds up to 15 m/s increasing with altitude, poor visibility, and a risk of lightning. The UAV is equipped with radar, RGB and thermal cameras, and relies on battery power with a long endurance profile. Key constraints include permanent and moving no-fly zones, GNSS multipath and jamming, electromagnetic interference, and temporary comms loss. The mission involves a three-UAV swarm with role specialization, maintaining minimum separation of 50 meters. The UAV must navigate around dynamic obstacles and wind shear while managing energy under challenging aerodynamic conditions. Lightning strike and GNSS jamming faults are simulated, testing resilience in harsh weather and degraded navigation. The UAV must complete a corridor search pattern within 900 seconds and land using a designated runway. Success depends on avoiding airspace violations, maintaining separation, and completing the search despite environmental and system challenges.",Descend to 100 m to reduce wind exposure and power use,Climb to 3000 m for clearer comms and stable airflow,Increase speed to finish search before battery depletes,Disperse laterally to extend coverage despite comms loss,Halt swarm motion to recalibrate sensors after lightning strike,Maintain 2500 m and reduce speed to conserve energy,Switch to radar-only mode and ascend above 3000 m,"[""Descend to 100 m to reduce wind exposure and power use"", ""Climb to 3000 m for clearer comms and stable airflow"", ""Increase speed to finish search before battery depletes"", ""Disperse laterally to extend coverage despite comms loss"", ""Halt swarm motion to recalibrate sensors after lightning strike"", ""Maintain 2500 m and reduce speed to conserve energy"", ""Switch to radar-only mode and ascend above 3000 m""]","Descending to 100 m reduces wind load and power demand while improving GNSS signal integrity near terrain, balancing energy, control, and navigation. It avoids airspace violations and maintains separation under comms degradation. Higher altitudes increase wind and lightning risk, while speed changes or dispersion compromise coordination or endurance." 2025-11-01T18:02:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Jungle_Survey_Mission_with_Helicopter_UAV_62cd6fb18491_mcq.json,uavbench-mcq-v1,Jungle_Survey_Mission_with_Helicopter_UAV,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"UAV must survey below 150m AGL, avoid NFZs, and return safely with 30% battery after GNSS jamming at 300s.","This is a jungle survey mission using a battery-powered helicopter UAV equipped with RGB and thermal cameras. The UAV operates within a defined polygonal airspace between 10 and 150 meters AGL. Weather includes a 6 m/s wind from 240 degrees with gusts up to 4 m/s and a risk of lightning. A static no-fly zone is present as a cylinder near the center, and a dynamic no-fly zone moves through the area. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV entering the airspace. GNSS jamming is expected at 300 seconds, lasting 45 seconds with high severity. Communication downlink will be lost between 280 and 325 seconds. The mission requires completing a corridor survey pattern within 600 seconds. Battery reserve is set to 30%, and the UAV must return safely to the preferred landing site. Success depends on avoiding collisions, geofence breaches, and maintaining minimum separation.",Climb to 150m for better GNSS signal before jamming,Descend to 10m to avoid gusts and NFZs during jamming,Proceed straight through corridor maintaining 80m AGL,Divert around dynamic NFZ at 120m before 280s,Hover at 50m during communication loss to assess,Accelerate to finish survey before jamming starts,Return to base immediately after 300s,"[""Climb to 150m for better GNSS signal before jamming"", ""Descend to 10m to avoid gusts and NFZs during jamming"", ""Proceed straight through corridor maintaining 80m AGL"", ""Divert around dynamic NFZ at 120m before 280s"", ""Hover at 50m during communication loss to assess"", ""Accelerate to finish survey before jamming starts"", ""Return to base immediately after 300s""]","The UAV must avoid the dynamic no-fly zone and prepare for GNSS/comm loss. Option D proactively clears the obstacle and maintains safe altitude and separation. Other options risk geofence violation, collision, or being stranded without navigation during jamming." 2025-11-01T18:02:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Loiter_Mission_in_Rural_Clear_Weather_16a063b8d381_mcq.json,uavbench-mcq-v1,Loiter_Mission_in_Rural_Clear_Weather,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 60m altitude, 30m loiter radius, and 15 m/s westbound traffic at 80m, how should the UAV prioritize cyber-physical integrity during orbit?","This is a loiter survey mission conducted in rural airspace with clear weather and moderate wind from the south. The UAV is an octocopter equipped with a battery-powered electric propulsion system and RGB camera payload. It operates within a 500m × 500m geofenced area, maintaining altitudes between 10m and 150m AGL. A cylindrical no-fly zone centered at (250, 250) with a 50m radius restricts airspace from 10m to 100m altitude. The mission involves orbiting around waypoints at 60m altitude with a 30m loiter radius over a 600-second time budget. One other UAV traffic agent moves westward at 15 m/s through the airspace at 80m altitude. Separation minimum is set to 25 meters with a time-to-collision threshold of 15 seconds for collision avoidance. GNSS, IMU, barometer, magnetometer, and visual sensing are active, but lidar and radar are not used. The UAV spawns at (50, 50, 50) and must avoid GNSS multipath near obstacles though terrain is flat and open. Battery endurance and traffic separation are key constraints under good visibility and steady winds.",Use encrypted GNSS with inertial fallback on spoofing detection,Disable encryption to reduce latency for real-time orbit adjustments,Rely solely on visual positioning near the no-fly zone center,Increase loiter radius to 50m if GNSS signal shows jitter,Accept unauthenticated commands to maintain mission time budget,Transmit telemetry in plaintext to preserve battery life,Switch to barometer-only altitude control to avoid sensor overload,"[""Use encrypted GNSS with inertial fallback on spoofing detection"", ""Disable encryption to reduce latency for real-time orbit adjustments"", ""Rely solely on visual positioning near the no-fly zone center"", ""Increase loiter radius to 50m if GNSS signal shows jitter"", ""Accept unauthenticated commands to maintain mission time budget"", ""Transmit telemetry in plaintext to preserve battery life"", ""Switch to barometer-only altitude control to avoid sensor overload""]","Encrypted GNSS with inertial fallback ensures data integrity and availability under spoofing attempts while maintaining control stability. It enables detection of anomalous positioning and sustains accurate loiter orbits. Other options degrade security, resilience, or sensor fusion critical for safe separation and mission continuity." 2025-11-01T18:02:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Training_in_Volcanic_Zone_dde63c518a95_mcq.json,uavbench-mcq-v1,High_Crosswind_Training_in_Volcanic_Zone,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"With 30% battery reserve, 9.5 m/s winds, and a 30-second GNSS jam, should the UAV continue to waypoint E at 110 m AGL?","This is an inspection mission using an octocopter UAV equipped with RGB and thermal cameras, operating in a volcanic zone with challenging environmental conditions. The flight occurs within a defined polygonal airspace bounded between 10 and 120 meters AGL. Strong westerly winds averaging 9.5 m/s increase with altitude and shift direction, compounded by gusts up to 4.2 m/s and thermal updrafts near two plume centers. The UAV must navigate around a static no-fly zone centered at (500, 400) and avoid a moving no-fly zone drifting northwest at 2.5 m/s. A second UAV and a horizontally moving spherical obstacle add dynamic collision risks. GNSS signals are degraded by multipath effects, electromagnetic interference, and a planned 30-second jamming event reducing signal strength to -75 dBm. The octocopter carries a 1.2 kg payload and relies on battery power with a 30% reserve requirement, limiting available energy. Flight control uses discrete commands with collision avoidance based on a 25-meter separation and 15-second time-to-collision threshold. Communication experiences two brief downlink loss windows, and mission success depends on completing the waypoint corridor within 600 seconds while maintaining safety and system integrity.",Proceed to waypoint E; mission success is top priority.,Descend to 80 m AGL to reduce wind exposure and save power.,Abort mission now to preserve UAV and avoid uncontrolled descent.,Enter static no-fly zone to cut 45 seconds off the route.,Fly through moving no-fly zone; it's not active yet.,Ignore thermal updrafts; they improve energy efficiency.,Transmit data and land immediately after jamming event.,"[""Proceed to waypoint E; mission success is top priority."", ""Descend to 80 m AGL to reduce wind exposure and save power."", ""Abort mission now to preserve UAV and avoid uncontrolled descent."", ""Enter static no-fly zone to cut 45 seconds off the route."", ""Fly through moving no-fly zone; it's not active yet."", ""Ignore thermal updrafts; they improve energy efficiency."", ""Transmit data and land immediately after jamming event.""]","Continuing risks loss of control due to GNSS degradation, wind, and power limits, potentially endangering downstream populations. Safety of life and system integrity outweigh mission objectives. Aborting prevents uncontrolled failure in a hazardous environment." 2025-11-01T18:02:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Loiter_in_Jungle_with_Lightning_Risk_145fd1465140_mcq.json,uavbench-mcq-v1,Loiter_in_Jungle_with_Lightning_Risk,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,B,False,"At 295s, wind 6 m/s from 240°, GNSS jamming starts at 300s. Which action balances safety, energy, and navigation before comms loss?","Quadrotor UAV conducts a survey mission in a jungle environment with lightning risk. The mission involves orbiting around key waypoints at varying altitudes between 40–70 meters AGL. Operating within a 200m x 200m polygonal geofence, the UAV must avoid two no-fly zones: one static and one moving cylinder. A dynamic obstacle moves through the airspace, requiring real-time detection and avoidance. Weather includes 6 m/s winds from 240° with gusts up to 4 m/s and a risk of lightning. The UAV is equipped with RGB camera payload and relies on GNSS, IMU, barometer, and magnetometer for navigation. A GNSS jamming fault occurs at 300 seconds, lasting 30 seconds with high severity, challenging positioning accuracy. Communications experience a brief downlink loss window between 290–320 seconds. A single traffic UAV enters the airspace from the southeast at constant speed and heading. Battery capacity is limited, requiring efficient energy use to complete the 600-second loiter mission.",Climb to 70m for better GNSS signal resilience,Descend to 40m to reduce wind exposure and save power,Maintain current altitude and increase speed to exit jamming zone,Hover in place using barometer and IMU until GNSS recovers,Turn east to avoid traffic and align with wind direction,Orbit waypoint at reduced speed to conserve battery,Execute immediate descent below 40m to evade lightning risk,"[""Climb to 70m for better GNSS signal resilience"", ""Descend to 40m to reduce wind exposure and save power"", ""Maintain current altitude and increase speed to exit jamming zone"", ""Hover in place using barometer and IMU until GNSS recovers"", ""Turn east to avoid traffic and align with wind direction"", ""Orbit waypoint at reduced speed to conserve battery"", ""Execute immediate descent below 40m to evade lightning risk""]","Descending to 40m reduces aerodynamic drag and power use in 6 m/s winds, improves stability during upcoming GNSS fault by minimizing drift, and stays above minimum safe altitude. It avoids lightning risk better than climbing, conserves energy for the 600s mission, and maintains navigational manageability using IMU/barometer without GNSS. Other options increase energy demand, compromise safety, or degrade control during critical sensor degradation." 2025-11-01T18:02:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Loiter_in_Sandstorm_-_Convertiplane_Rural_Ops_9cb4d2b2ce77_mcq.json,uavbench-mcq-v1,Loiter_in_Sandstorm_-_Convertiplane_Rural_Ops,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best ensures mission success under 15 m/s winds, GNSS jamming, and dynamic obstacles at 200m?","Mission is a survey operation with loiter orbit pattern in rural airspace. UAV is a convertiplane with combined rotor and fixed-wing capabilities, carrying a 1kg payload with RGB camera and LiDAR. Flight occurs under poor visibility due to an active sandstorm with strong winds up to 15 m/s increasing with altitude. Wind shifts direction and intensifies from 240° at ground to 270° at 200m, creating challenging navigation conditions. The airspace includes a static no-fly zone near the center and a moving no-fly cylinder drifting northwest. A dynamic moving obstacle with spherical volume travels through the operational area, requiring real-time avoidance. GNSS jamming occurs twice: once from environmental interference and once from a simulated fault lasting 45 seconds. EM interference and temporary comms loss windows challenge command and control during flight. The UAV must maintain separation of at least 50m from traffic and obstacles, with 25s time-to-closest-approach threshold. Mission requires runway-assisted takeoff and landing, with emergency landing site available at the southeast corner.",Fixed-wing with mechanical gyro for stability,Quadcopter using visual odometry and no GPS,Convertiplane with INS-GPS fusion and LIDAR SLAM,Helicopter with heavy battery for wind resistance,Glider with pre-programmed path and no sensors,Convertiplane with GPS-only navigation and no redundancy,Fixed-wing with radar and long range but no hover,"[""Fixed-wing with mechanical gyro for stability"", ""Quadcopter using visual odometry and no GPS"", ""Convertiplane with INS-GPS fusion and LIDAR SLAM"", ""Helicopter with heavy battery for wind resistance"", ""Glider with pre-programmed path and no sensors"", ""Convertiplane with GPS-only navigation and no redundancy"", ""Fixed-wing with radar and long range but no hover""]","The convertiplane with INS-GPS fusion maintains navigation during 45s GNSS outages and adapts to wind shifts. LIDAR SLAM enables real-time dynamic obstacle avoidance in poor visibility. This option balances endurance, fault tolerance, and sensor redundancy better than alternatives." 2025-11-01T18:02:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Lost_Link_RTL_in_Mountainous_Snowfall_94953d23ff25_mcq.json,uavbench-mcq-v1,Lost_Link_RTL_in_Mountainous_Snowfall,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 420 s, icing increases wing mass by 12% and reduces lift; wind from west exceeds 15 m/s. What should the UAV do immediately?","This scenario involves a fixed-wing glider UAV conducting a survey mission in mountainous terrain under poor visibility due to snowfall and icing conditions. The UAV is equipped with standard navigation sensors and an RGB camera payload but lacks radar or lidar. Strong and increasing winds from the west create challenging flight dynamics, especially at higher altitudes. The airspace includes a static no-fly zone and a moving restricted zone, both requiring careful path planning. A dynamic traffic UAV and a drifting spherical obstacle add collision risks. GNSS performance is degraded by multipath effects and electromagnetic interference, with potential for signal loss. At 420 seconds, the UAV experiences a lost communication link and initiates return-to-launch, compounded by an icing event that impacts aerodynamics. The UAV must maintain separation from obstacles and adhere to altitude and geofence constraints while managing reduced battery efficiency in cold conditions. The mission requires a runway landing, with primary and emergency sites designated within the operational area. Success depends on fault recovery, energy management, and safe navigation through adverse environmental and airspace challenges.",Increase angle of attack by 4° to compensate lift loss,Descend to lower altitude for higher air density,Turn east immediately to reduce headwind component,Extend flaps fully to maximize camber and lift,Maintain current pitch and increase airspeed by 10%,"Climb to escape icing layer above 3,000 m MSL",Enter tight spiral to shed ice via centrifugal force,"[""Increase angle of attack by 4° to compensate lift loss"", ""Descend to lower altitude for higher air density"", ""Turn east immediately to reduce headwind component"", ""Extend flaps fully to maximize camber and lift"", ""Maintain current pitch and increase airspeed by 10%"", ""Climb to escape icing layer above 3,000 m MSL"", ""Enter tight spiral to shed ice via centrifugal force""]","Descending increases air density, improving lift generation and Reynolds number, which offsets boundary layer disruption from ice. Higher density also enhances control surface effectiveness. Climbing or increasing angle of attack risks stall due to degraded aerodynamics and strong winds." 2025-11-01T18:02:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Lost_Link_RTL_in_Jungle_Fog_21301a5da062_mcq.json,uavbench-mcq-v1,Lost_Link_RTL_in_Jungle_Fog,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"At 320 s, lost link triggers RTL with fog, 6.5 m/s wind, and a drifting obstacle at 2 m/s westward. Battery reserve: 30%. Max AGL: 120 m.","This is a survey mission conducted by a hexacopter UAV in a jungle environment with poor visibility due to fog. The UAV is equipped with RGB camera, LiDAR, and standard navigation sensors, carrying a 0.8 kg payload. It operates within a defined polygonal airspace bounded between 10 m and 120 m AGL, with a cylindrical no-fly zone near the center. The mission plan follows a corridor pattern through five waypoints, including a low-altitude pass at 40 m near the restricted zone. Moderate winds of 6.5 m/s from 240° with gusts up to 3.2 m/s affect flight conditions. A moving spherical obstacle drifts westward at 2 m/s along the flight path. At 320 seconds into the mission, a lost link fault triggers a return-to-launch (RTL) procedure, compounded by downlink failure during the outage. The UAV must maintain 25 m separation from a single traffic UAV entering the airspace. GNSS multipath effects and reduced visibility increase navigation risk, especially during the autonomous RTL phase in foggy conditions. Battery reserve is set to 30%, limiting available energy for extended maneuvers or delays.","Climb to 110 m AGL, then proceed direct RTL avoiding obstacle above.",Descend to 35 m AGL and follow original path back under obstacle.,"Hold at 40 m AGL until obstacle passes, then resume RTL.","Divert east to bypass obstacle at 90 m AGL, maintain VLOS.",Accelerate through obstacle path at 40 m AGL to save battery.,"Turn north to nearest edge, climb to 120 m AGL for signal.",Descend to 15 m AGL and fly cautious RTL below obstacle layer.,"[""Climb to 110 m AGL, then proceed direct RTL avoiding obstacle above."", ""Descend to 35 m AGL and follow original path back under obstacle."", ""Hold at 40 m AGL until obstacle passes, then resume RTL."", ""Divert east to bypass obstacle at 90 m AGL, maintain VLOS."", ""Accelerate through obstacle path at 40 m AGL to save battery."", ""Turn north to nearest edge, climb to 120 m AGL for signal."", ""Descend to 15 m AGL and fly cautious RTL below obstacle layer.""]","Climbing to 110 m AGL ensures separation from the 2 m/s westward drifting obstacle while staying within the 10–120 m AGL airspace and avoiding reduced visibility near the ground. It minimizes multipath risk during RTL by gaining altitude above fog and terrain effects, and preserves battery by enabling efficient routing. Other options either violate minimum altitude, risk collision, or increase navigation uncertainty in fog." 2025-11-01T18:02:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mine_Rescue_Operation_with_Helicopter_UAV_2f4d923180e2_mcq.json,uavbench-mcq-v1,Mine_Rescue_Operation_with_Helicopter_UAV,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"Which action optimizes search coverage and energy use within 600 seconds, maintaining 30% battery reserve and avoiding the no-fly zone at (50, 40, 10m radius)?","This is a search and rescue mission using a battery-powered helicopter UAV inside an underground mine. The UAV operates within a confined airspace bounded by a polygonal geofence, with a maximum altitude of 50 meters AGL. A cylindrical no-fly zone is centered at (50, 40) with a 10-meter radius, restricting access to a critical area. The environment features poor visibility and gusty winds, though wind effects are limited due to the enclosed mine setting. The UAV is equipped with GNSS, IMU, lidar, RGB and thermal cameras, supporting navigation and victim detection. GNSS signals may suffer from multipath interference due to mine walls, challenging positioning accuracy. The mission follows a grid search pattern across five waypoints, including a close approach near the no-fly zone at (50, 40, 25). Battery endurance is limited, with a 30% reserve required and a total time budget of 600 seconds. The UAV must maintain safe separation from obstacles and avoid geofence breaches while searching for survivors and returning to the preferred landing site at (10, 10, 0).","Fly at 25 m AGL, 8 m/s, direct path through no-fly zone edge","Reduce speed to 4 m/s near (50, 40), maintain 30 m altitude","Climb to 50 m AGL for better GNSS reception, scan wide area","Descend to 10 m AGL, accelerate to 10 m/s to save time",Hover at each waypoint 15 seconds to maximize thermal detection,"Follow grid at 20 m AGL, 6 m/s, detour 15 m around no-fly zone","Prioritize speed: 12 m/s, accept 20% battery reserve for faster return","[""Fly at 25 m AGL, 8 m/s, direct path through no-fly zone edge"", ""Reduce speed to 4 m/s near (50, 40), maintain 30 m altitude"", ""Climb to 50 m AGL for better GNSS reception, scan wide area"", ""Descend to 10 m AGL, accelerate to 10 m/s to save time"", ""Hover at each waypoint 15 seconds to maximize thermal detection"", ""Follow grid at 20 m AGL, 6 m/s, detour 15 m around no-fly zone"", ""Prioritize speed: 12 m/s, accept 20% battery reserve for faster return""]","Flying at 20 m AGL balances obstacle clearance and sensor effectiveness while 6 m/s conserves energy and allows lidar/GNSS stability. The 15 m detour ensures safety from the no-fly zone, and the grid pace enables full coverage within time and battery constraints, preserving 30% reserve." 2025-11-01T18:02:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Lost_Link_RTL_in_Warehouse_with_Microburst_Risk_79b390aadbd8_mcq.json,uavbench-mcq-v1,Lost_Link_RTL_in_Warehouse_with_Microburst_Risk,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 200 s, lost link occurs with 6 m/s wind and GNSS multipath; which navigation strategy maintains integrity?","This scenario involves an inspection mission inside a warehouse using a convertiplane UAV equipped with GNSS, IMU, lidar, and RGB camera. The indoor airspace is confined to a 50x40 meter polygon with a maximum altitude of 15 meters AGL and a no-fly zone centered in the area. Weather includes a 6 m/s wind from the west with gusts up to 4 m/s and a risk of microbursts affecting stability. The UAV has a battery capacity of 450 Wh and carries a 0.7 kg payload, requiring careful energy management. A lost link fault is triggered at 200 seconds, lasting one minute, forcing the UAV to execute RTL procedures without communication. The mission must account for GNSS multipath risks due to indoor operation and limited sensor redundancy. There is a moving spherical obstacle drifting left at 0.5 m/s near a waypoint, requiring dynamic avoidance. Separation from other traffic must be maintained above 5 meters or 5 seconds TTC to avoid DAA breaches. The UAV must return to the runway threshold for landing, with an emergency site available if needed.",Switch entirely to GNSS with lidar altitude hold,Rely on IMU-only dead reckoning for 60 seconds,Fuse lidar SLAM with visual odometry and IMU,Use GPS heading with camera-based obstacle lock,Disable sensors and glide to home waypoint,Trust IMU and magnetometer for drift correction,Follow preplanned path ignoring dynamic obstacle,"[""Switch entirely to GNSS with lidar altitude hold"", ""Rely on IMU-only dead reckoning for 60 seconds"", ""Fuse lidar SLAM with visual odometry and IMU"", ""Use GPS heading with camera-based obstacle lock"", ""Disable sensors and glide to home waypoint"", ""Trust IMU and magnetometer for drift correction"", ""Follow preplanned path ignoring dynamic obstacle""]","GNSS multipath indoors degrades position accuracy, and wind gusts increase IMU drift risk. Lidar SLAM fused with visual odometry and IMU provides robust, real-time localization without GNSS. This fusion maintains situational awareness, avoids dynamic obstacles, and ensures safe RTL during lost link." 2025-11-01T18:02:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Border_Patrol_with_Dust_Storm_f4792ca3b13d_mcq.json,uavbench-mcq-v1,Mountain_Border_Patrol_with_Dust_Storm,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"Given 8 m/s winds, 30% battery reserve, and a westward-moving obstacle at 5 m/s, which action optimizes path, energy, and collision avoidance?","Fixed-wing UAV conducts a mountain border patrol survey mission in poor visibility due to an active dust storm. The operation takes place in a mountainous airspace with an altitude range between 100 and 600 meters AGL. Strong winds of 8 m/s from 240 degrees, with 4 m/s gusts, challenge flight stability and navigation. The UAV is equipped with radar, RGB and thermal cameras, and standard navigation sensors. A no-fly zone cylinder is present near the center of the area, requiring careful path planning. The mission follows a rectangular corridor pattern with five waypoints and requires runway-assisted takeoff and landing. A moving spherical obstacle travels westward at 5 m/s, posing a dynamic collision risk. Another UAV is present in the airspace, flying at 20 m/s, requiring maintained separation of at least 50 meters. GNSS multipath effects are likely near terrain ridges, though no explicit faults are modeled. Battery endurance is critical, with a 30% reserve required and limited by high drag and wind resistance.",Climb to 600 m for clearer radar returns,Descend to 110 m AGL to reduce wind exposure,Increase speed to 25 m/s to outrun the obstacle,Delay takeoff until gusts drop below 3 m/s,"Follow waypoints at 18 m/s, 200 m AGL, adjusting for obstacle","Fly direct route at 15 m/s, ignoring corridor pattern",Match obstacle speed and trail behind at 40 m separation,"[""Climb to 600 m for clearer radar returns"", ""Descend to 110 m AGL to reduce wind exposure"", ""Increase speed to 25 m/s to outrun the obstacle"", ""Delay takeoff until gusts drop below 3 m/s"", ""Follow waypoints at 18 m/s, 200 m AGL, adjusting for obstacle"", ""Fly direct route at 15 m/s, ignoring corridor pattern"", ""Match obstacle speed and trail behind at 40 m separation""]","Flying at 18 m/s balances energy use and control in 8 m/s winds while maintaining separation. At 200 m AGL, it avoids terrain and multipath effects, stays within safe altitude bounds, and allows dynamic rerouting around the moving obstacle. This choice adheres to battery reserve, navigation accuracy, and coordination constraints while completing the survey mission efficiently." 2025-11-01T18:02:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Border_Patrol_in_Rain_7dea28ec7269_mcq.json,uavbench-mcq-v1,Mountain_Border_Patrol_in_Rain,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,Which route avoids the drifting NFZ while maintaining 20m separation and operating between 30–200m AGL during GNSS outage from 350–380s?,"This is a mountain border patrol mission using a quadrotor UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The operation takes place in mountainous terrain with a defined polygonal airspace and strict altitude limits between 30 and 200 meters AGL. Weather conditions include moderate rain, poor visibility, and icing risk, with strong winds up to 10 m/s increasing with altitude and shifting direction. The UAV must avoid a static no-fly zone near the center and a moving no-fly cylinder drifting northeast at 2.5 m/s. A three-UAV swarm is deployed with leader, scout, and relay roles, requiring minimum 20-meter separation between units. The mission involves a search and rescue corridor pattern across five waypoints within a 600-second time budget. GNSS performance is degraded due to jamming at -85 dBm and EM interference, with a simulated GNSS outage between 350 and 380 seconds. Icing conditions reduce UAV performance between 200 and 260 seconds, affecting battery and control. Communication suffers from intermittent downlink loss, especially during two critical windows. The UAV must manage battery reserves carefully under increased drag and power demands while avoiding terrain, obstacles, and traffic.",Climb to 210m AGL to clear drifting NFZ early,"Fly direct to WP3, ignoring swarm separation",Delay ascent until after GNSS outage ends,"Reroute east, maintaining 180m AGL and 25m spacing",Descend to 25m AGL for terrain masking during jamming,Hold position at WP2 until NFZ passes westward,"Turn sharp left at WP1, reducing speed to 8 m/s","[""Climb to 210m AGL to clear drifting NFZ early"", ""Fly direct to WP3, ignoring swarm separation"", ""Delay ascent until after GNSS outage ends"", ""Reroute east, maintaining 180m AGL and 25m spacing"", ""Descend to 25m AGL for terrain masking during jamming"", ""Hold position at WP2 until NFZ passes westward"", ""Turn sharp left at WP1, reducing speed to 8 m/s""]","Option D maintains safe altitude within 30–200m AGL, avoids the northeast-drifting NFZ by lateral offset, and preserves swarm separation. It uses terrain-aware re-planning during GNSS degradation without incurring delay. Other options violate altitude, separation, timing, or NFZ constraints." 2025-11-01T18:02:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Bridge_Inspection_with_Glider_f00e9eb921fd_mcq.json,uavbench-mcq-v1,Mountain_Bridge_Inspection_with_Glider,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"Given GNSS jamming, icing, and 600s mission limit, which action ensures resilient navigation and control during bridge inspection?","This is a mountain bridge inspection mission using a fixed-wing glider UAV equipped with RGB camera and LIDAR payload. The operation takes place in mountainous terrain with a defined geofenced airspace and a cylindrical no-fly zone near the bridge structure. Weather conditions include moderate to strong winds increasing with altitude, poor visibility, snowfall, and icing conditions. The glider relies on battery power and benefits from thermal updrafts but faces reduced aerodynamic efficiency due to potential ice accumulation. Key constraints include GNSS signal multipath and jamming, electromagnetic interference, and temporary communication losses. The UAV must maintain separation from a moving obstacle and an intruder UAV while navigating a predefined corridor pattern. Flight is restricted between 50m and 600m AGL, with a requirement to use a designated runway for landing. The mission must be completed within 600 seconds, with sufficient battery reserve for safe return. Icing events and wind shear across altitudes pose significant flight risks. Performance is monitored through metrics including mission success, proximity alerts, battery levels, and regulatory compliance.",Rely solely on GNSS with frequent position updates,Switch to INS-LIDAR fusion upon GNSS loss,Descend immediately to 50m AGL on any packet loss,Use unencrypted telemetry for faster command response,Override autopilot to manual control under jamming,Trust all sensor inputs equally during snowfall,Disable geofence checks to maintain flight corridor,"[""Rely solely on GNSS with frequent position updates"", ""Switch to INS-LIDAR fusion upon GNSS loss"", ""Descend immediately to 50m AGL on any packet loss"", ""Use unencrypted telemetry for faster command response"", ""Override autopilot to manual control under jamming"", ""Trust all sensor inputs equally during snowfall"", ""Disable geofence checks to maintain flight corridor""]","INS-LIDAR fusion maintains navigation integrity during GNSS jamming by leveraging encrypted, authenticated LIDAR mapping and inertial data. It preserves control stability despite sensor degradation from icing or visibility loss. This layered approach enables continued mission progress within the corridor while meeting safety and timing constraints." 2025-11-01T18:02:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Dust_Event_with_Moving_NFZ_e00ee0e7a9bc_mcq.json,uavbench-mcq-v1,Mountain_Dust_Event_with_Moving_NFZ,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During a 2.5 m/s drifting NFZ and two communication loss windows, how should the UAV maintain secure, stable navigation?","This UAV mission is an inspection task in mountainous terrain with poor visibility due to a dust event. The quadrotor UAV is equipped with GNSS, IMU, lidar, and RGB camera, operating within a defined polygonal geofence. Winds are strong at 8 m/s from 240 degrees with gusts up to 4 m/s, reducing sensor effectiveness and increasing flight risk. The UAV must navigate around a static no-fly zone and a moving cylindrical NFZ drifting at 2.5 m/s southwest. Mission waypoints follow a corridor pattern, requiring precise routing under a 600-second time limit. Battery reserves are set to 30%, with energy consumption affected by drag and maneuvering in wind. A second UAV is present in the airspace, traveling opposite the mission path, requiring separation monitoring. Communication experiences two brief loss windows, risking temporary control degradation. GNSS multipath may occur near terrain, challenging positioning accuracy. The UAV must maintain at least 25 meters separation from traffic and avoid collisions with dynamic obstacles.",Rely solely on GNSS for positioning during communication outages,Switch to lidar-IMU dead reckoning with encrypted telemetry streams,Increase control loop frequency to 200 Hz using unauthenticated commands,Transmit unencrypted video to ground station during dust visibility loss,Disable geofence checks to prioritize waypoint speed in strong winds,Use open Wi-Fi to relay position if primary comms fail,Trust GNSS without cross-validation near mountainous multipath zones,"[""Rely solely on GNSS for positioning during communication outages"", ""Switch to lidar-IMU dead reckoning with encrypted telemetry streams"", ""Increase control loop frequency to 200 Hz using unauthenticated commands"", ""Transmit unencrypted video to ground station during dust visibility loss"", ""Disable geofence checks to prioritize waypoint speed in strong winds"", ""Use open Wi-Fi to relay position if primary comms fail"", ""Trust GNSS without cross-validation near mountainous multipath zones""]","B ensures control stability by fusing lidar and IMU during GNSS denial, maintaining navigation integrity. It preserves cyber-physical security via encrypted telemetry, preventing spoofing or injection. This enables obstacle avoidance, geofence compliance, and safe operation during communication loss and environmental stress." 2025-11-01T18:02:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Dust_Recon_Mission_c6fba741c0e3_mcq.json,uavbench-mcq-v1,Mountain_Dust_Recon_Mission,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 310s, GNSS fails and winds exceed 10m/s above 150m; battery is at 38%. Should the UAV continue at 200m?","This is a search and rescue mission in mountainous terrain with poor visibility due to dust and sandstorm conditions. The UAV is an octocopter equipped with RGB and thermal cameras, operating within a defined airspace bounded between 30m and 250m AGL. Strong winds up to 12 m/s increase with altitude and shift direction, posing flight challenges. The environment includes GNSS multipath, electromagnetic interference, and a temporary GNSS jamming event. A static no-fly zone and a moving no-fly cylinder create dynamic constraints. A second UAV and a moving spherical obstacle require separation monitoring with a 25m threshold. The mission involves a grid search pattern across five waypoints within a 600-second time limit. Battery endurance is critical, with a reserve fraction of 30% and limited downlink communication. The UAV must avoid faults including partial motor failure and communication dropouts between 300–320s and 450–480s.",Continue search at 200m to maintain grid pattern,Descend to 40m despite poor visibility to save power,Climb to 240m for clearer thermal imaging,Abort mission and return to base immediately,Fly toward the moving obstacle for visual identification,Enter the static no-fly zone to shorten return path,Hover at 120m using dead reckoning and thermal feed,"[""Continue search at 200m to maintain grid pattern"", ""Descend to 40m despite poor visibility to save power"", ""Climb to 240m for clearer thermal imaging"", ""Abort mission and return to base immediately"", ""Fly toward the moving obstacle for visual identification"", ""Enter the static no-fly zone to shorten return path"", ""Hover at 120m using dead reckoning and thermal feed""]","GNSS failure, high winds, and marginal battery (38% < reserve) create unacceptable risk. Continuing or ascending endangers airspace safety and mission recovery. Abort prioritizes UAV recovery and prevents uncontrolled failure, aligning with safety-of-life and lawful operation." 2025-11-01T18:02:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Firefighting_Drop_in_Low_Visibility_8f804acb2bee_mcq.json,uavbench-mcq-v1,Mountain_Firefighting_Drop_in_Low_Visibility,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 380 m AGL, icing fault hits with 12% battery, wind 14 m/s, and dynamic NFZ approaching. What's optimal?","Mission involves firefighting water drops using a battery-powered quadrotor in mountainous terrain. The UAV carries a 1.5 kg payload with thermal and RGB cameras for fire detection and navigation. Operations occur between 50 m and 400 m AGL within a defined polygonal airspace boundary. Poor visibility and icing conditions are present, with wind increasing to 15 m/s at higher altitudes. A static no-fly zone blocks the central area, while a dynamic NFZ moves near the target region. GNSS signals suffer from multipath and moderate jamming, complicating positioning accuracy. The UAV must avoid a moving obstacle and maintain separation from another UAV on a crossing path. An icing fault reduces performance for one minute, increasing power demand and reducing lift. Communication dropouts occur twice for 15 seconds each, limiting ground control updates. The mission requires completing a corridor pattern within 10 minutes before returning to base.",Descend to 60 m AGL and continue corridor pattern,Climb to 410 m AGL to avoid dynamic NFZ,Abort mission and return at 100 m AGL,Hold altitude until icing clears in 60 seconds,Increase speed to finish pattern in 8 minutes,Divert to alternate runway outside polygon,Turn sharply to avoid NFZ at current altitude,"[""Descend to 60 m AGL and continue corridor pattern"", ""Climb to 410 m AGL to avoid dynamic NFZ"", ""Abort mission and return at 100 m AGL"", ""Hold altitude until icing clears in 60 seconds"", ""Increase speed to finish pattern in 8 minutes"", ""Divert to alternate runway outside polygon"", ""Turn sharply to avoid NFZ at current altitude""]","Descending or holding at high altitude increases icing and wind exposure, violating safety and energy limits. Continuing or speeding up risks NFZ incursion and battery depletion. Returning at 100 m AGL stays within approved altitude band, avoids NFZ and obstacles, and prioritizes safe recovery with margin for communication dropouts." 2025-11-01T18:02:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Lightning_Recon_30381fd261aa_mcq.json,uavbench-mcq-v1,Mountain_Lightning_Recon,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"At 240 s, UAV is at (1200, 900), 320 m AGL, 28 m/s, heading toward thermal updraft. GNSS jamming begins. How should UAV respond?","Fixed-wing UAV conducts disaster reconnaissance in mountainous terrain with active lightning risk and moderate winds. Mission operates within a 2000×1500 m geofenced area, with altitude restricted between 50–450 m AGL. UAV equipped with RGB and thermal cameras, powered by an 800 Wh battery, flying at speeds up to 32 m/s. Wind increases with altitude, reaching 11 m/s at 300 m, with gusts up to 4 m/s and variable direction. A static no-fly zone (100 m radius) and a moving no-fly cylinder (60 m radius, drifting at 2.5 m/s) constrain flight paths. GNSS signals suffer from multipath effects and intentional jamming at -95 dBm, with a 20-second GNSS jamming fault scheduled. A communication link loss occurs at 250 seconds, lasting 15 seconds, impacting command and telemetry. Thermal updrafts near (850, 1200) provide lift potential with 1.8 m/s vertical air movement. Air traffic includes one opposing UAV at 200 m altitude, requiring 50 m separation and DAA monitoring. The mission must complete within 600 seconds, follow a corridor pattern, and end with a runway landing.",Descend to 100 m AGL and continue corridor pattern,Climb to 450 m AGL for maximum wind clearance,"Turn right 180°, descend to 60 m AGL, head to landing","Maintain altitude and speed, delay route correction",Fly direct to thermal updraft at 320 m AGL,"Divert to 200 m AGL, avoid opposing UAV and jamming zone","Reduce speed to 15 m/s, maintain heading and altitude","[""Descend to 100 m AGL and continue corridor pattern"", ""Climb to 450 m AGL for maximum wind clearance"", ""Turn right 180°, descend to 60 m AGL, head to landing"", ""Maintain altitude and speed, delay route correction"", ""Fly direct to thermal updraft at 320 m AGL"", ""Divert to 200 m AGL, avoid opposing UAV and jamming zone"", ""Reduce speed to 15 m/s, maintain heading and altitude""]","GNSS jamming at -95 dBm risks navigation failure; maintaining 200 m AGL avoids multipath-heavy valleys and complies with separation from opposing UAV. This altitude balances DAA needs, wind exposure, and battery use while enabling safe return after communication loss at 250 s." 2025-11-01T18:02:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Pipeline_Inspection_in_Fog_8c65af9b8a73_mcq.json,uavbench-mcq-v1,Mountain_Pipeline_Inspection_in_Fog,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,E,False,"At 240s, icing fault hits; UAV is at 220m AGL, 350m from dynamic NFZ edge. Maintain inspection in 30–250m AGL band with 600s limit?","This is a pipeline inspection mission in mountainous terrain using a VTOL tiltrotor UAV equipped with RGB and thermal cameras, LiDAR, and radar. The flight occurs in poor visibility due to fog, with icing conditions and moderate winds increasing with altitude. The UAV must navigate between 30 and 250 meters AGL within a defined polygonal geofence, avoiding static and moving no-fly zones. A dynamic no-fly zone drifts through the airspace, and a moving spherical obstacle crosses the path. The mission requires runway-assisted takeoff and landing, with a preferred return site at the start point. Wind shear and thermal updrafts affect flight dynamics, while GNSS multipath, jamming, and electromagnetic interference challenge navigation. The UAV transitions between hover and fixed-wing flight, managing energy use under increased drag from payload and icing. Air traffic includes a conflicting UAV on a crossing path, requiring sense-and-avoid compliance with 25-meter separation. The mission must complete within 600 seconds despite a planned icing fault at 240 seconds and a brief comms dropout. Success depends on maintaining battery reserves, avoiding collisions, and completing the inspection corridor without breaching airspace constraints.",Climb to 280m AGL to avoid icing layers and overfly NFZ,"Descend to 25m AGL, slow to 12m/s, continue corridor tracking","Turn right, descend to 180m AGL, divert to alternate runway","Maintain 220m AGL and speed, rely on de-icing for 120s","Ascend to 250m AGL, delay NFZ crossing until 260s","Descend to 40m AGL, transition to hover mode near ridge","Execute immediate 180° turn, return to start runway","[""Climb to 280m AGL to avoid icing layers and overfly NFZ"", ""Descend to 25m AGL, slow to 12m/s, continue corridor tracking"", ""Turn right, descend to 180m AGL, divert to alternate runway"", ""Maintain 220m AGL and speed, rely on de-icing for 120s"", ""Ascend to 250m AGL, delay NFZ crossing until 260s"", ""Descend to 40m AGL, transition to hover mode near ridge"", ""Execute immediate 180° turn, return to start runway""]","Ascending to 250m AGL stays within AGL limits and delays NFZ encounter to avoid conflict while conserving energy. It balances de-icing risk with timing, avoids lower multipath zones, and maintains separation from terrain and obstacles. Other options violate AGL bounds, increase multipath/icing, or waste time/energy." 2025-11-01T18:02:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Pipeline_Inspection_with_Fixed-Wing_UAV_73e209237081_mcq.json,uavbench-mcq-v1,Mountain_Pipeline_Inspection_with_Fixed-Wing_UAV,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 420m AGL in moderate winds with icing, how should the UAV respond to a 30s collision threat from another UAV?","Fixed-wing UAV conducts pipeline inspection in mountainous terrain. Mission operates within a defined polygonal airspace with minimum 50m and maximum 450m AGL altitude limits. Moderate winds of 8.5 m/s increase with altitude and shift direction, with gusts up to 4 m/s. UAV equipped with radar, RGB and thermal cameras for visual and structural inspection. Significant icing conditions are present and a simulated icing event occurs mid-mission. A static no-fly zone blocks direct access near the pipeline route, requiring rerouting. A second moving no-fly zone and a drifting spherical obstacle introduce dynamic collision risks. GNSS signals suffer from multipath effects and electromagnetic interference, degrading positioning accuracy. Another UAV traffic vehicle crosses the airspace on a collision course, requiring separation monitoring. Return to runway is required, with primary and emergency landing sites designated at opposite corners.",Descend to 60m AGL to avoid conflict,Maintain course; collision is not imminent,Climb to 440m AGL for smoother air,Enter static no-fly zone to reroute faster,Deploy parachutes over mountainous terrain,Request human override; continue current path,Execute lateral avoidance within airspace bounds,"[""Descend to 60m AGL to avoid conflict"", ""Maintain course; collision is not imminent"", ""Climb to 440m AGL for smoother air"", ""Enter static no-fly zone to reroute faster"", ""Deploy parachutes over mountainous terrain"", ""Request human override; continue current path"", ""Execute lateral avoidance within airspace bounds""]","The UAV must avoid collision while respecting altitude limits, no-fly zones, and terrain. G ensures safe, lawful separation using onboard systems without endangering assets or aborting unnecessarily. Other options violate safety, legality, or mission integrity." 2025-11-01T18:02:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Recon_VTOL_Mission_ec9dd0aa7f40_mcq.json,uavbench-mcq-v1,Mountain_Recon_VTOL_Mission,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best handles 15 m/s winds, icing, GNSS degradation, and dynamic obstacles during a 4-waypoint mountain reconnaissance?","This is a mountainous area reconnaissance mission using a VTOL tiltrotor UAV capable of fixed-wing flight. The operation takes place in rugged terrain with a defined rectangular geofenced airspace and strict altitude limits between 50 and 400 meters AGL. Strong winds increase with altitude, reaching 15 m/s from the west, with gusts and directional shear, compounded by icing conditions. The UAV carries a multispectral payload including RGB and thermal cameras, supported by LiDAR and full navigation sensors. Key constraints include a static no-fly zone over a central area and a moving no-fly cylinder drifting northeast. A second UAV and a moving spherical obstacle create dynamic collision risks requiring strict separation monitoring. GNSS signals are degraded by multipath effects and moderate jamming, challenging navigation reliability. The mission requires a runway-assisted takeoff and landing, with a grid pattern flight plan covering four waypoints before returning. An icing fault event occurs mid-mission, reducing performance for one minute, while communication dropouts further challenge control and data transmission.",High-wing fixed-wing with long range but no tiltrotor capability,"Quadcopter with VTOL and obstacle sensing, limited to 90 minutes endurance","Tiltrotor with multispectral payload, LiDAR, and dual INS-GNSS fusion","Glider UAV with thermal soaring, no propulsion or VTOL support","Fixed-wing with RTK-GNSS only, no inertial sensor redundancy","Coaxial rotorcraft with high hover efficiency, no fixed-wing mode","Solar-powered UAV with 8-hour endurance, unable to climb above 300 m","[""High-wing fixed-wing with long range but no tiltrotor capability"", ""Quadcopter with VTOL and obstacle sensing, limited to 90 minutes endurance"", ""Tiltrotor with multispectral payload, LiDAR, and dual INS-GNSS fusion"", ""Glider UAV with thermal soaring, no propulsion or VTOL support"", ""Fixed-wing with RTK-GNSS only, no inertial sensor redundancy"", ""Coaxial rotorcraft with high hover efficiency, no fixed-wing mode"", ""Solar-powered UAV with 8-hour endurance, unable to climb above 300 m""]","The tiltrotor offers VTOL and fixed-wing efficiency, critical for runway-assisted operations in rugged terrain. Dual INS-GNSS fusion compensates for GNSS degradation, while LiDAR enhances obstacle and terrain awareness. Only this option integrates fault tolerance, all-weather sensors, and performance across altitude, wind, and dynamic hazards." 2025-11-01T18:02:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Amphibious_UAV_Mission_in_Jungle_with_Thermal_Updrafts_7938d9fb1479_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Amphibious_UAV_Mission_in_Jungle_with_Thermal_Updrafts,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 200 m AGL, winds reach 15 m/s with gusts; UAV ascends using a thermal updraft. What action maintains optimal lift-to-drag ratio?","This is a BVLOS survey mission conducted in a jungle environment along a mountain ridge. The UAV operates within a defined airspace polygon from 5 to 250 meters AGL, with a runway required for operations. Weather includes strong winds up to 15 m/s increasing with altitude, gusts, and thermal updrafts creating vertical air currents. An amphibious fixed-wing VTOL UAV equipped with thermal and RGB cameras, LiDAR, and full sensor suite performs the mission. The UAV must navigate around a static no-fly zone and a moving no-fly cylinder, while avoiding dynamic obstacles. GNSS signals are degraded due to multipath effects and electromagnetic interference, with brief communication loss periods. The mission involves following a corridor pattern through four waypoints, leveraging thermal updrafts for efficiency. Air traffic includes another UAV moving westward across the zone. Constraints include maintaining separation, battery reserve limits, and staying within geofenced boundaries.",Increase airspeed to 25 m/s to outrun gusts,Reduce throttle and pitch up 12° into updraft,Bank 45° to circumvent turbulent rotor zones,Descend immediately to avoid wind shear layer,Maintain current airspeed and reduce angle of attack,Deploy flaps fully to maximize lift in thin air,Pitch down 5° and increase thrust by 30%,"[""Increase airspeed to 25 m/s to outrun gusts"", ""Reduce throttle and pitch up 12° into updraft"", ""Bank 45° to circumvent turbulent rotor zones"", ""Descend immediately to avoid wind shear layer"", ""Maintain current airspeed and reduce angle of attack"", ""Deploy flaps fully to maximize lift in thin air"", ""Pitch down 5° and increase thrust by 30%""]","Reducing throttle and pitching up into the updraft increases angle of attack to leverage rising air, enhancing lift without increasing drag. This optimizes energy extraction from thermals while maintaining lift-to-drag balance. Other options either induce stall, increase parasitic drag, or exit the updraft layer." 2025-11-01T18:02:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Convertiplane_Survey_39b490a6a5a5_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Convertiplane_Survey,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,C,False,"During GNSS jamming at 14 m/s winds, how should the UAV maintain position integrity within the 100–700 m AGL corridor?","This is a BVLOS survey mission using a convertiplane UAV in mountainous terrain. The flight occurs within a defined airspace corridor from 100 to 700 meters AGL, bounded by polygonal geofences. Weather conditions include strong winds up to 14 m/s, gusts, rain, and icing risks, with wind increasing and shifting direction at higher altitudes. The UAV carries an RGB camera and LiDAR payload, relying on GNSS, IMU, and other sensors, but faces GNSS multipath, jamming, and electromagnetic interference. A no-fly zone is present near the start area, and a moving no-fly zone drifts through the operational zone. The mission must avoid collisions with static obstacles, a moving sphere, and other air traffic entering the area. Thermal updrafts provide lift in localized regions, potentially aiding efficiency. The UAV must complete a corridor survey pattern within 600 seconds, requiring a runway takeoff and landing. Icing conditions temporarily reduce performance between 240 and 300 seconds, and communication dropouts occur twice during the flight. Strict separation standards are enforced to ensure detect-and-avoid compliance throughout the mission.",Rely solely on encrypted GNSS with anti-jam antenna,Switch to IMU-only navigation with zero drift correction,Use terrain-relative LiDAR scan matching with authenticated data links,Increase control loop frequency using unverified sensor inputs,Transmit unencrypted telemetry to ground for position override,Activate open-loop control based on pre-flight wind models,Delegate navigation to unauthenticated cloud-based processing,"[""Rely solely on encrypted GNSS with anti-jam antenna"", ""Switch to IMU-only navigation with zero drift correction"", ""Use terrain-relative LiDAR scan matching with authenticated data links"", ""Increase control loop frequency using unverified sensor inputs"", ""Transmit unencrypted telemetry to ground for position override"", ""Activate open-loop control based on pre-flight wind models"", ""Delegate navigation to unauthenticated cloud-based processing""]",LiDAR scan matching provides GNSS-denied position verification while authenticated links ensure command integrity. This maintains control stability and airspace compliance during jamming. Other options either expose cyber vulnerabilities or lack physical resilience. 2025-11-01T18:02:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Fixed-Wing_Survey_b49bada58b2a_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Fixed-Wing_Survey,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"UAV at 200 m AGL, 8.5 m/s winds from 240°, GNSS outages possible. How to maintain navigation integrity during crossing traffic avoidance?","Fixed-wing UAV conducts a BVLOS corridor survey near an airport perimeter. Mission operates within 60–300 m AGL in a defined rectangular airspace. Weather includes 8.5 m/s winds from 240° with gusts up to 4 m/s and a lightning risk. UAV is battery-powered, with RGB camera payload and standard navigation sensors. A no-fly zone cylinder blocks airspace near the center of the area. Operational constraints include runway coordination and separation from other traffic. Another UAV and a moving obstacle traverse the airspace on crossing paths. GNSS signal may experience brief outages during communication loss windows. DAA system enforces 25-meter separation and 20-second time-to-contact threshold. Mission requires timely completion within 600 seconds while avoiding violations.",Rely solely on GNSS during high-wind gusts to minimize drift,Use IMU-camera fusion when GNSS signal degrades briefly,Disable DAA to prioritize mission time over separation,Follow constant heading ignoring wind-induced drift for stability,Depend on LiDAR for positioning near the no-fly zone cylinder,Increase camera frame rate to replace lost GNSS updates,Trust magnetic heading despite airport perimeter interference,"[""Rely solely on GNSS during high-wind gusts to minimize drift"", ""Use IMU-camera fusion when GNSS signal degrades briefly"", ""Disable DAA to prioritize mission time over separation"", ""Follow constant heading ignoring wind-induced drift for stability"", ""Depend on LiDAR for positioning near the no-fly zone cylinder"", ""Increase camera frame rate to replace lost GNSS updates"", ""Trust magnetic heading despite airport perimeter interference""]","IMU-visual fusion compensates for brief GNSS outages by leveraging camera data and inertial consistency, reducing reliance on error-prone signals. It maintains navigation accuracy under wind-induced dynamics and airport-induced magnetic interference. This fusion strategy preserves DAA compliance and mission timing without violating separation constraints." 2025-11-01T18:02:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Foggy_Helicopter_Survey_5c646e7b9d30_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Foggy_Helicopter_Survey,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"Given 50m separation, 30s time-to-closest-approach, and brief comms dropouts, how should the UAV adjust near the moving obstacle?","This is a BVLOS survey mission using a heavy-lift battery-powered helicopter UAV equipped with LiDAR and RGB camera payload in a rural mountainous region. The operation takes place within a defined 2km x 2km airspace block with an altitude range from 50m to 1200m AGL. Weather conditions include moderate winds increasing with altitude, gusts, and poor visibility due to fog, which impacts visual and sensor performance. The UAV must navigate around a static no-fly zone near the start area and avoid a moving no-fly zone drifting northwest. A thermal updraft is present near the center of the area, potentially affecting flight dynamics. GNSS signals are degraded due to multipath effects and moderate jamming, requiring robust navigation solutions. The mission follows a corridor survey pattern with five key waypoints, requiring precise path tracking under tight time and energy constraints. Air traffic includes a crossing UAV, and a moving spherical obstacle requires dynamic avoidance. Communication experiences brief dropouts, and separation monitoring is active with 50m minimum distance and 30-second time-to-closest-approach thresholds. Battery endurance is limited, with reserve power set at 30%, emphasizing efficient routing and timely return to the preferred landing site.",Descend immediately to avoid thermal updraft interference,Maintain altitude while accelerating toward waypoint 3,Broadcast intent to alter course and delay turn by 15s,Switch to RGB-only mode to conserve battery power,Request neighboring UAV to take over corridor segment,Execute sharp turn without coordination to evade sphere,Hold position until GNSS signal strength improves above threshold,"[""Descend immediately to avoid thermal updraft interference"", ""Maintain altitude while accelerating toward waypoint 3"", ""Broadcast intent to alter course and delay turn by 15s"", ""Switch to RGB-only mode to conserve battery power"", ""Request neighboring UAV to take over corridor segment"", ""Execute sharp turn without coordination to evade sphere"", ""Hold position until GNSS signal strength improves above threshold""]",Broadcasting intent ensures cooperative separation awareness despite dropouts. Delaying turn by 15s maintains time-to-closest-approach margin with crossing UAV. This balances dynamic obstacle avoidance with inter-agent timing and communication constraints. 2025-11-01T18:02:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Desert_Gusts_f93df77862f2_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Desert_Gusts,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"UAV must inspect 4 waypoints in 600 s, avoid dynamic obstacles, and return with 30% battery in desert winds up to 12.5 m/s.","This is a BVLOS inspection mission in a desert environment along a mountain ridge corridor. The UAV operates within an airspace bounded between 10 and 120 meters AGL, with a static no-fly zone over a central cylinder and a moving no-fly zone drifting southwest. Winds are from the west at 8 m/s with gusts up to 4.5 m/s, creating turbulent conditions. The UAV is a quadrotor equipped with a battery-powered propulsion system and carries an RGB camera payload for visual inspection. It relies on standard sensors including GNSS, IMU, magnetometer, barometer, and camera, but lacks lidar or radar. The flight must avoid two no-fly zones, one of which is dynamic, and maintain separation from another UAV flying through the area. A moving spherical obstacle also drifts through the mission corridor, requiring real-time awareness. The mission has a strict 600-second time budget and must reach four waypoints in a corridor pattern before landing at the preferred site. Battery reserve is set to 30%, and GNSS multipath effects may occur near terrain features, while comms remain stable throughout. Success depends on maintaining safe separation, avoiding obstacles and NFZs, and completing the route within time and energy limits.",Fly direct paths at max speed to save time,Reduce camera frame rate to cut power use,Climb to 120 m AGL for better GNSS reception,Hover 30 s at each waypoint for stable imaging,Circle each NFZ at 5 m/s to ensure clearance,Descend to 10 m AGL to minimize wind exposure,Increase logging frequency to track drift zones,"[""Fly direct paths at max speed to save time"", ""Reduce camera frame rate to cut power use"", ""Climb to 120 m AGL for better GNSS reception"", ""Hover 30 s at each waypoint for stable imaging"", ""Circle each NFZ at 5 m/s to ensure clearance"", ""Descend to 10 m AGL to minimize wind exposure"", ""Increase logging frequency to track drift zones""]","Reducing camera frame rate lowers power consumption, preserving battery for longer flight and reserve. It balances payload needs with energy limits while enabling full route completion. Other options increase energy use or time, risking reserve or deadline violation." 2025-11-01T18:02:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Glider_Mission_in_Dusty_Jungle_191ade52baca_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Glider_Mission_in_Dusty_Jungle,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"Which path adjusts for 16 m/s winds at 300m, avoids a drifting obstacle near a thermal, and maintains 50m separation from a collision-course UAV within 10 minutes?","This is a BVLOS glider survey mission in a dense jungle environment with poor visibility due to dust and sandstorm conditions. The UAV is a battery-powered fixed-wing glider equipped with RGB camera payload and standard navigation sensors. It operates within a defined corridor between 50m and 600m AGL, bounded by static and moving no-fly zones. Strong winds increase with altitude, reaching 16 m/s at 300m, and thermal updrafts are present to support soaring. GNSS signals suffer from multipath effects and moderate jamming, with a planned GNSS jamming fault lasting 45 seconds. A discrete control policy guides the glider along a five-waypoint corridor pattern within a 10-minute time budget. The mission must avoid a dynamic no-fly zone moving northwest and a drifting spherical obstacle near a thermal plume. Communication link drops occur twice during the flight, affecting uplink and downlink reliability. The presence of another UAV on a collision course requires DAA compliance with 50m separation and 30s TTC thresholds. Icing conditions are expected mid-mission, reducing aerodynamic efficiency for one minute.",Climb to 600m immediately to escape dust and use tailwinds,Descend to 50m AGL and fly direct between all waypoints,"Reroute west around thermal plume at 250m, delaying WPT3 by 90s","Maintain 200m AGL, deviate 80m east to avoid obstacle and UAV",Hold at WPT2 for 2 minutes until conflicting UAV passes,Turn sharply toward thermal updraft to gain altitude quickly,Continue to WPT3 at 300m despite GNSS jamming and obstacle drift,"[""Climb to 600m immediately to escape dust and use tailwinds"", ""Descend to 50m AGL and fly direct between all waypoints"", ""Reroute west around thermal plume at 250m, delaying WPT3 by 90s"", ""Maintain 200m AGL, deviate 80m east to avoid obstacle and UAV"", ""Hold at WPT2 for 2 minutes until conflicting UAV passes"", ""Turn sharply toward thermal updraft to gain altitude quickly"", ""Continue to WPT3 at 300m despite GNSS jamming and obstacle drift""]","Maintaining 200m AGL balances wind exposure and sensor reliability while deviating east avoids both the drifting obstacle and UAV with 50m separation. This path respects the time budget, leverages moderate updrafts, and accounts for GNSS drift during jamming without violating altitude or collision constraints." 2025-11-01T18:02:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Glider_Survey_7e283b80ccc6_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Glider_Survey,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"Glider must survey 5 waypoints in 10 minutes, avoid moving no-fly cylinder, and exploit two thermal updrafts at 14 m/s winds.","This is a BVLOS glider survey mission in rural mountainous terrain. The UAV is a battery-powered glider equipped with RGB and thermal cameras for payload. It operates within an altitude range of 50 to 600 meters AGL inside a defined polygonal geofence. Strong winds up to 14 m/s occur at higher altitudes, shifting direction with elevation, and gusts add turbulence. Thermal updrafts are present at two locations, which the glider can exploit for lift. A static no-fly zone and a moving no-fly cylinder must be avoided during flight. There is electromagnetic interference and brief communication loss windows, but no GNSS multipath issues. The mission involves navigating a corridor pattern across five waypoints within a 10-minute time limit. Traffic includes another UAV flying westbound, requiring separation monitoring. The launch site doubles as the preferred landing zone, with two emergency landing options available.",Circle thermal updrafts to maximize lift before survey,Delay launch until winds drop below 10 m/s,Adjust corridor timing to align with thermal availability,Fly direct path ignoring thermals to save time,Ascend to 600 m for clearer comms despite turbulence,Coordinate with westbound UAV to share thermal data,Abort mission if comms lost for more than 30 s,"[""Circle thermal updrafts to maximize lift before survey"", ""Delay launch until winds drop below 10 m/s"", ""Adjust corridor timing to align with thermal availability"", ""Fly direct path ignoring thermals to save time"", ""Ascend to 600 m for clearer comms despite turbulence"", ""Coordinate with westbound UAV to share thermal data"", ""Abort mission if comms lost for more than 30 s""]","Optimal coordination requires synchronizing flight path with thermal availability to maintain energy and timing. Sharing updraft data with the westbound UAV (F) improves situational awareness but is secondary to path-energy-timing alignment. Other choices either waste time, increase risk, or fail to leverage inter-agent environmental cooperation." 2025-11-01T18:02:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Glider_Survey_in_Fog_5c85238a9386_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Glider_Survey_in_Fog,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 180 s, icing reduces lift; glider at 6.5 m/s SW wind, 0.8 kg payload. Optimal response?","This is a BVLOS glider survey mission conducted in harbor airspace near a mountain ridge. The UAV is a fixed-wing glider equipped with radar, RGB camera, and standard navigation sensors, carrying a 0.8 kg payload. Weather conditions include poor visibility due to fog, icing risk, and moderate winds from the southwest at 6.5 m/s with gusts. The mission operates within a defined corridor between 50 m and 600 m AGL, bounded by a polygonal geofence. A static no-fly zone blocks part of the area near the start, and a dynamic no-fly zone moves through the airspace during flight. Another UAV and a moving spherical obstacle traverse the area, requiring separation management with a 50 m minimum distance. GNSS signals are degraded by multipath effects and electromagnetic interference, with moderate jamming present. The glider must manage battery reserves carefully, especially during an induced icing event at 180 seconds that reduces performance. Thermal updrafts are available near mid-field, potentially aiding lift-based energy conservation. Communication experiences a brief downlink outage, and mission success depends on avoiding breaches, collisions, and low battery while completing the survey path.",Increase angle of attack by 3° to regain lift,"Descend immediately to denser, warmer air",Turn 90° into wind to reduce groundspeed,Extend flaps fully to maximize camber,Pitch down to 2° to prevent flow separation,Circle at 45° bank to exploit updrafts,Maintain current attitude and airspeed,"[""Increase angle of attack by 3° to regain lift"", ""Descend immediately to denser, warmer air"", ""Turn 90° into wind to reduce groundspeed"", ""Extend flaps fully to maximize camber"", ""Pitch down to 2° to prevent flow separation"", ""Circle at 45° bank to exploit updrafts"", ""Maintain current attitude and airspeed""]","Icing increases wing roughness, reducing lift and increasing stall risk at high angles. Descending improves air density and temperature, restoring Reynolds number and delaying separation. It also conserves energy by avoiding drag-inducing control inputs while mitigating icing effects." 2025-11-01T18:02:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Glider_Survey_e4345e9a87ee_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Glider_Survey,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"During icing at 250 m AGL with GNSS at -95 dBm and 12 m/s westerly winds, how should navigation be prioritized?","This is a BVLOS glider survey mission conducted in a forested mountain ridge environment. The UAV is a fixed-wing glider with a 5.2 kg mass and a battery-powered propulsion system, equipped with RGB camera and LiDAR payload for terrain mapping. It operates within an altitude range of 50 to 350 meters AGL, inside a defined polygonal geofence that includes both static and moving no-fly zones. The area experiences strong westerly winds up to 12 m/s, increasing with altitude, along with gusts, snowfall, and icing conditions that impact flight performance. GNSS signals are degraded due to multipath effects and moderate jamming at -95 dBm, requiring reliance on inertial and barometric navigation aids. The mission involves flying a corridor pattern through four waypoints to survey a linear terrain feature, with thermal updrafts available at two locations to assist lift. A second UAV and a moving spherical obstacle traverse the airspace, requiring separation assurance with a 50-meter threshold. The glider must manage energy carefully due to high drag and reduced efficiency in cold, dense air, with a reserve battery fraction of 30% for safe return. An icing fault event occurs mid-mission, reducing aerodynamic efficiency for one minute, while brief communication dropouts affect uplink and downlink. The primary constraints include avoiding NFZs, maintaining separation, mitigating GNSS degradation, preventing stalls in turbulent air, and completing the survey within 600 seconds.",Switch to pure barometric hold to avoid GNSS drift,Rely on LiDAR terrain matching with IMU dead reckoning,Use only GNSS with low-pass filter to reduce noise,Descend immediately to improve signal and reduce ice risk,Disable LiDAR to save power and trust inertial fusion,Increase reliance on visual odometry despite snowfall,Follow wind-aligned glide path using GPS-aided yaw lock,"[""Switch to pure barometric hold to avoid GNSS drift"", ""Rely on LiDAR terrain matching with IMU dead reckoning"", ""Use only GNSS with low-pass filter to reduce noise"", ""Descend immediately to improve signal and reduce ice risk"", ""Disable LiDAR to save power and trust inertial fusion"", ""Increase reliance on visual odometry despite snowfall"", ""Follow wind-aligned glide path using GPS-aided yaw lock""]","GNSS is degraded by multipath and jamming at -95 dBm, making it unreliable. LiDAR-IMU fusion provides terrain-relative positioning resilience during icing and GNSS outages. This method maintains accuracy in forested, mountainous terrain where visual and GNSS cues are compromised." 2025-11-01T18:02:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_HAPS_Mission_87e9b3acd344_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_HAPS_Mission,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,"At 6,000 m AGL, 16 m/s winds from 270° and hail reduce visibility; one UAV experiences icing at 120 s. How should the swarm adjust?","This is a BVLOS survey mission using a high-altitude pseudo-satellite UAV in a desert mountain ridge environment. The UAV operates between 1,000 and 7,000 meters AGL within a defined polygonal geofence. Winds increase with altitude, reaching 16 m/s from 270 degrees at 6,000 meters, with gusts and poor visibility due to hail. The UAV is equipped with radar, RGB and thermal cameras, and relies on battery power with significant energy demands. A static no-fly zone and a moving no-fly cylinder create dynamic airspace constraints. The mission involves a three-UAV swarm flying a corridor pattern with minimum 75-meter separation between units. GNSS is subject to jamming at -95 dBm, and electromagnetic interference is present, though multipath effects are not. An icing event occurs at 120 seconds, reducing performance for one minute. Communication experiences brief downlink outages, and collision avoidance must maintain 100-meter separation and 30-second time-to-closest-approach thresholds.","Descend to 4,500 m and reduce speed to 15 m/s",Maintain altitude and increase speed to 28 m/s,"Climb to 7,000 m for smoother airflow above turbulence",Halt propulsion and glide to conserve battery,Separate by 50 m to improve maneuverability,Transmit data hourly to reduce downlink load,Turn 90° to fly perpendicular to wind direction,"[""Descend to 4,500 m and reduce speed to 15 m/s"", ""Maintain altitude and increase speed to 28 m/s"", ""Climb to 7,000 m for smoother airflow above turbulence"", ""Halt propulsion and glide to conserve battery"", ""Separate by 50 m to improve maneuverability"", ""Transmit data hourly to reduce downlink load"", ""Turn 90° to fly perpendicular to wind direction""]","Descending reduces exposure to high winds, hail, and icing altitude while conserving energy and maintaining GNSS reliability. Lower altitude improves communication and radar performance despite reduced coverage. This balances aerodynamic stability, energy use, safety, and swarm separation under dynamic constraints." 2025-11-01T18:02:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Harbor_Mission_559f22a30cd8_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Harbor_Mission,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"Plan a response at 6 minutes when intruder UAV enters corridor at 300 m AGL, winds 18 m/s, battery at 45%.","This is a BVLOS survey mission over a harbor area near a mountain ridge. The UAV is an octocopter equipped with RGB camera, LiDAR, and standard navigation sensors, carrying a 1.2 kg payload. It operates within a defined airspace from 10 to 450 meters AGL, bounded by a polygonal geofence. Winds are strong, increasing with altitude up to 18 m/s from the west, with gusts and a microburst risk. GNSS signals face multipath interference and moderate jamming, compounded by electromagnetic interference. A static no-fly zone blocks the center of the area, while a dynamic no-fly zone moves slowly through the southern sector. A single intruder UAV flies through the airspace on a fixed path, and a moving spherical obstacle drifts northwest. The mission requires completing a corridor-style waypoint route within 10 minutes, avoiding collisions and maintaining separation. The UAV must manage battery reserves carefully under high wind drag and potential lost-link conditions at 7 minutes. Emergency landing zones are available at corners, but the primary site is in the northeast.",Climb to 440 m AGL and continue mission,"Descend to 110 m AGL, hold until intruder passes","Divert northwest, fly below dynamic NFZ at 90 m AGL","Proceed straight, rely on 50 m horizontal separation","Abort mission, proceed directly to northeast emergency LZ","Turn back, retrace route at 200 m AGL","Descend to 120 m AGL, shift east, resume in 90 seconds","[""Climb to 440 m AGL and continue mission"", ""Descend to 110 m AGL, hold until intruder passes"", ""Divert northwest, fly below dynamic NFZ at 90 m AGL"", ""Proceed straight, rely on 50 m horizontal separation"", ""Abort mission, proceed directly to northeast emergency LZ"", ""Turn back, retrace route at 200 m AGL"", ""Descend to 120 m AGL, shift east, resume in 90 seconds""]","Descending to 120 m AGL avoids the intruder and strong winds while staying above minimum altitude and outside NFZs. It balances battery conservation, separation, and mission continuity. Other options violate altitude bounds, increase collision risk, or waste energy." 2025-11-01T18:02:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Heavy_Lift_Mission_under_Icing_Conditions_165215116156_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Heavy_Lift_Mission_under_Icing_Conditions,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"At 300m AGL, 15 m/s WNW winds and icing occur; GNSS has moderate jamming. Which navigation strategy maintains position integrity?","Heavy lift UAV conducts a BVLOS delivery mission over rural mountainous terrain. Flight occurs within a defined corridor between 50 and 350 meters AGL. Strong winds increase with altitude, reaching 15 m/s from the west-northwest. Poor visibility and icing conditions are present, with an active icing event during flight. The UAV carries an 8 kg payload with thermal and RGB cameras, lidar, and full sensor suite. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves through the airspace. A moving spherical obstacle and another UAV traffic pose collision risks. GNSS signals suffer from multipath and moderate jamming, with brief comms dropouts. Separation threshold is 50 meters with a 30-second time-to-contact alerting. Mission must complete within 10 minutes, avoiding NFZs, terrain, and maintaining safe battery reserves.",Rely solely on GNSS with Kalman filter smoothing,"Switch to full INS mode, ignoring visual updates","Fuse lidar with GNSS, assuming clear ground returns",Use IMU-visual fusion with terrain-relative lidar,Depend on RGB optical flow in low visibility,Increase reliance on magnetometer for heading,Descend to 50m AGL using barometric hold only,"[""Rely solely on GNSS with Kalman filter smoothing"", ""Switch to full INS mode, ignoring visual updates"", ""Fuse lidar with GNSS, assuming clear ground returns"", ""Use IMU-visual fusion with terrain-relative lidar"", ""Depend on RGB optical flow in low visibility"", ""Increase reliance on magnetometer for heading"", ""Descend to 50m AGL using barometric hold only""]","IMU-visual fusion compensates for GNSS jamming and multipath, while lidar provides terrain-relative updates despite poor visibility. This combination mitigates wind-induced drift and icing effects on sensors. Other options fail due to sensor vulnerability in the degraded environment." 2025-11-01T18:03:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Helicopter_Survey_bd55c9a759c8_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Helicopter_Survey,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 150 m AGL, 8.5 m/s wind from 240° affects rotor efficiency; what action maintains lift with gusts up to 4.2 m/s without increasing power beyond battery limits?","This is a BVLOS survey mission using a battery-powered helicopter UAV in suburban airspace near a mountain ridge. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Wind is moderate at 8.5 m/s from 240 degrees with gusts up to 4.2 m/s, and visibility is good. The flight operates between 30 and 180 meters AGL within a defined polygonal geofence. A static no-fly zone blocks the center of the area, and a dynamic no-fly zone moves slowly through the southeast sector. Another UAV and a moving spherical obstacle create additional collision risks. The mission requires completing a corridor-style survey pattern within 600 seconds while maintaining at least 25 meters separation and avoiding GNSS multipath near terrain. Battery endurance is limited, with 30% reserve required for safe return. Primary constraints include NFZ compliance, obstacle avoidance, wind effects on rotorcraft performance, and maintaining communications and navigation integrity.",Increase collective pitch to boost lift instantly,Reduce forward speed to decrease induced drag,Bank 30° into wind to balance lateral forces,Decrease rotor RPM to minimize profile drag,Pitch up 5° to increase angle of attack,Yaw right to align with gust vector,Slight forward cyclic to maintain airspeed stability,"[""Increase collective pitch to boost lift instantly"", ""Reduce forward speed to decrease induced drag"", ""Bank 30° into wind to balance lateral forces"", ""Decrease rotor RPM to minimize profile drag"", ""Pitch up 5° to increase angle of attack"", ""Yaw right to align with gust vector"", ""Slight forward cyclic to maintain airspeed stability""]",Forward cyclic maintains translational lift and prevents vortex ring state by ensuring relative wind across the rotor disk. Gusts from 240° create asymmetric inflow; preserving airspeed counters turbulence without overloading motors. Increasing pitch or reducing RPM risks blade stall or reduced control authority under density altitude effects. 2025-11-01T18:03:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Harbor_Mission_with_Icing_Conditions_40847c704564_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Harbor_Mission_with_Icing_Conditions,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,A,False,"At 120s, comms drop and a spherical obstacle moves toward Waypoint 3 at 8 m/s; UAV must maintain 50m separation and 10-300m AGL.","This is a BVLOS survey mission conducted in harbor airspace near a mountain ridge. The UAV operates within an altitude range of 10 to 300 meters AGL, following a corridor flight pattern across five waypoints. Weather includes strong westerly winds increasing with altitude, gusts, and icing conditions that impact performance. The aircraft is a battery-powered VTOL tiltrotor equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. GNSS signals face multipath errors and moderate jamming, while electromagnetic interference affects comms reliability. A dynamic no-fly zone moves through the area, and a static NFZ blocks access near the harbor center. The mission requires runway-assisted takeoff and landing, with thermal updrafts and wind shear posing additional challenges. An icing fault event occurs mid-mission, reducing aerodynamic efficiency for one minute. Traffic includes a cross-track UAV and a moving spherical obstacle, requiring DAA compliance with 50-meter separation. Communication dropouts occur briefly at 120 and 400 seconds, demanding robust autonomy and fault resilience.","Climb to 280m AGL, turn right, intercept revised WP3 track","Descend to 5m AGL, accelerate to 22 m/s, fly direct to WP3",Hold position at WP2 for 90s until obstacle clears original path,"Turn left, reduce speed to 10 m/s, proceed at 150m AGL","Fly straight through obstacle edge at 45m separation, 180m AGL","Pitch down 15°, descend rapidly below 10m AGL, reroute south","Bank 40° right, adjust for 30m lateral GNSS drift, rejoin at WP4","[""Climb to 280m AGL, turn right, intercept revised WP3 track"", ""Descend to 5m AGL, accelerate to 22 m/s, fly direct to WP3"", ""Hold position at WP2 for 90s until obstacle clears original path"", ""Turn left, reduce speed to 10 m/s, proceed at 150m AGL"", ""Fly straight through obstacle edge at 45m separation, 180m AGL"", ""Pitch down 15°, descend rapidly below 10m AGL, reroute south"", ""Bank 40° right, adjust for 30m lateral GNSS drift, rejoin at WP4""]","Option A maintains safe 50m separation by deviating laterally above the obstacle while staying within the 10–300m AGL band. It accounts for GNSS drift and wind effects by using higher altitude with room for error. Other options breach AGL limits, violate separation, or cause excessive delay." 2025-11-01T18:03:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Hexacopter_Snow_Mission_24c205f64430_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Hexacopter_Snow_Mission,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,G,False,"During BVLOS mine inspection at 2–80 m AGL, two downlink losses occur. Which action ensures data integrity and control stability?","This is a BVLOS inspection mission using a hexacopter in an underground mine environment. The UAV is equipped with RGB and thermal cameras, LIDAR, and standard navigation sensors. Weather includes moderate wind from the northwest, gusts, and ongoing snowfall reducing visibility. The mission operates within a defined corridor between 2 and 80 meters AGL, bounded by a polygonal geofence. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves through the space at slow speed. Another UAV and a moving spherical obstacle create dynamic collision risks. The hexacopter must manage battery reserves carefully under increased drag and wind effects. Communication experiences two brief downlink loss windows, requiring robust data handling. Separation assurance is enforced with a 25-meter threshold and 15-second time-to-closest-approach limit. GNSS multipath is not a concern underground, but sensor fusion and obstacle avoidance are critical due to confined space and poor visibility.",Transmit unencrypted telemetry to reduce latency,Disable obstacle avoidance to save battery,Authenticate commands using TLS 1.3 handshakes,Rely solely on LIDAR during snowfall,Switch to open-loop control to bypass sensors,Use pre-signed motion commands without verification,Activate encrypted data buffering during outages,"[""Transmit unencrypted telemetry to reduce latency"", ""Disable obstacle avoidance to save battery"", ""Authenticate commands using TLS 1.3 handshakes"", ""Rely solely on LIDAR during snowfall"", ""Switch to open-loop control to bypass sensors"", ""Use pre-signed motion commands without verification"", ""Activate encrypted data buffering during outages""]","Encrypted buffering preserves data confidentiality and integrity during downlink loss, ensuring no data exfiltration or injection. It maintains mission continuity without compromising control-loop stability. Other options weaken security or situational awareness in confined, dynamic environments." 2025-11-01T18:03:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Inspection_with_Convertiplane_659e322a32b3_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Inspection_with_Convertiplane,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,F,False,"UAV faces 6.5 m/s winds, 3.2 m/s gusts, and brief comms loss at 120s. Must it abort due to safety risk?","This is a BVLOS inspection mission using a convertiplane UAV in an industrial plant airspace near a mountain ridge. The UAV operates between 30 and 180 meters AGL within a defined polygonal geofence. Weather includes a 6.5 m/s wind from 240 degrees with gusts up to 3.2 m/s, though visibility is good. The convertiplane has a battery capacity of 1800 Wh and carries an RGB camera payload for visual inspection. A no-fly zone cylinder restricts access near the center of the area, and the UAV must maintain separation from a moving obstacle drifting westward. Another UAV is present in the airspace, requiring collision avoidance with a 50-meter separation threshold. The UAV must use a runway for takeoff and landing, with a preferred return site and an emergency landing option. Communication experiences brief downlink losses at two intervals during the flight. The mission must be completed within 10 minutes, relying on GNSS and onboard sensors despite potential multipath near industrial structures.",Continue mission; visibility is good and geofence holds.,Abort immediately; wind exceeds operational limits.,Descend to 25m AGL to reduce wind exposure.,Fly through no-fly zone to shorten route and save time.,Ignore separation; prioritize inspection over other UAV.,Land at emergency site; risk of control loss is unacceptable.,Speed up to complete task before gusts worsen.,"[""Continue mission; visibility is good and geofence holds."", ""Abort immediately; wind exceeds operational limits."", ""Descend to 25m AGL to reduce wind exposure."", ""Fly through no-fly zone to shorten route and save time."", ""Ignore separation; prioritize inspection over other UAV."", ""Land at emergency site; risk of control loss is unacceptable."", ""Speed up to complete task before gusts worsen.""]","High winds with gusts and communication loss increase control risk, especially near structures with GNSS multipath. Safety-of-life overrides mission completion. Landing at the emergency site prioritizes risk mitigation over task, complying with aviation safety and ethical autonomy principles." 2025-11-01T18:03:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Inspection_with_Thermal_Updrafts_d43f8fd106b1_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Inspection_with_Thermal_Updrafts,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 450s, GNSS degrades with moderate jamming and 15 m/s gusts; what ensures navigation integrity and control stability?","This is a BVLOS inspection mission using a high-altitude pseudo-satellite UAV equipped with thermal and RGB cameras, radar, and standard navigation sensors. The operation takes place near an industrial plant within a defined polygonal airspace, bounded between 100 and 1200 meters AGL. Winds increase with altitude, reaching 15 m/s from the west-northwest, with gusts and active thermal updrafts enhancing lift in two localized plumes. The UAV must navigate around a static no-fly zone near the plant center and avoid a moving no-fly cylinder drifting northeast. A second UAV and a moving spherical obstacle create dynamic collision risks, requiring strict separation monitoring. GNSS signals are degraded by multipath effects and moderate jamming, while electromagnetic interference adds sensor reliability challenges. The mission follows a corridor pattern across five waypoints, requiring runway-aligned takeoff and landing with communication dropouts scheduled at 120 and 450 seconds. Battery endurance is critical, with a 30% reserve mandated and high hover power draw in windy conditions. Thermal updrafts may be exploited for energy savings, but precise energy management is needed to complete the 900-second mission within battery limits. The UAV operates solo but must maintain safe separation from traffic and obstacles throughout.",Switch to encrypted INS with radar altimeter fusion,Rely on unverified GNSS with Kalman filter smoothing,Increase control frequency using unsecured telemetry,Ascend to exploit updrafts with open-loop actuation,Transmit unencrypted camera data to ground station,Use spoofed GNSS for consistent position reporting,Disable intrusion detection to reduce system latency,"[""Switch to encrypted INS with radar altimeter fusion"", ""Rely on unverified GNSS with Kalman filter smoothing"", ""Increase control frequency using unsecured telemetry"", ""Ascend to exploit updrafts with open-loop actuation"", ""Transmit unencrypted camera data to ground station"", ""Use spoofed GNSS for consistent position reporting"", ""Disable intrusion detection to reduce system latency""]","Encrypted INS resists spoofing and jamming, maintaining data integrity under GNSS degradation. Radar altimeter fusion enhances altitude accuracy despite multipath. This preserves control stability and enables safe obstacle avoidance in dynamic airspace." 2025-11-01T18:03:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Inspection_with_Icing_2be3be5114fe_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Inspection_with_Icing,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 210 m AGL, winds hit 15.5 m/s with icing reducing lift; battery at 38%. Should the UAV continue at altitude?","This is a BVLOS inspection mission conducted in mountainous terrain near a bridge site with challenging weather. The hexacopter UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors for infrastructure assessment. Icing conditions are present, with a scheduled icing event reducing performance mid-mission. Strong winds increase with altitude, shifting from 8.5 m/s at ground level to 15.5 m/s at 200 m AGL. The UAV operates between 30 and 220 m AGL within a defined polygonal geofence, avoiding static and moving no-fly zones. A dynamic no-fly zone drifts through the area, requiring real-time path adjustments. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference further degrades sensor reliability. A second UAV and a moving spherical obstacle introduce traffic separation challenges. Communication experiences two downlink outages, limiting telemetry and payload data transmission. The mission must be completed within 600 seconds while maintaining safe separation and battery reserves.",Continue mission; complete scans before descending,Descend to 30 m AGL to reduce wind exposure,Abort mission immediately due to GNSS instability,Fly toward the bridge to shield from winds,Climb above 220 m AGL for smoother airflow,Hover at current altitude until weather improves,Transmit data and return directly to base,"[""Continue mission; complete scans before descending"", ""Descend to 30 m AGL to reduce wind exposure"", ""Abort mission immediately due to GNSS instability"", ""Fly toward the bridge to shield from winds"", ""Climb above 220 m AGL for smoother airflow"", ""Hover at current altitude until weather improves"", ""Transmit data and return directly to base""]","High wind, icing, and sensor degradation create escalating risk to control and navigation. Continuing or altering flight within degraded conditions jeopardizes safe recovery. Returning ensures human safety, complies with emergency prioritization, and preserves battery for controlled landing despite mission time pressure." 2025-11-01T18:03:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Mission_in_Urban_Canyon_with_Icing_69a5555c84a0_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Mission_in_Urban_Canyon_with_Icing,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"With 30% battery reserve, 15.5 m/s winds, and 600-second limit, how should the UAV optimize energy while ensuring inspection completion?","This is a BVLOS inspection mission using a convertiplane UAV in an urban canyon environment. The aircraft operates within a defined airspace corridor between 10 and 300 meters AGL, navigating around static and moving no-fly zones. Weather conditions include strong winds up to 15.5 m/s, gusts, poor visibility, and in-flight icing. The UAV is equipped with RGB camera and LiDAR payload, relying on GNSS, IMU, and other sensors, but faces GNSS multipath, jamming, and electromagnetic interference. The mission involves flying a corridor pattern through five waypoints with a requirement to use a runway for landing. A dynamic obstacle moves through the airspace, and another UAV is present, requiring separation management. An icing event occurs mid-mission, reducing performance for one minute. Communication dropouts are expected at two intervals, challenging command and control. Battery reserves are maintained at 30%, with energy consumption impacted by wind and manoeuvring. The UAV must avoid collisions, maintain safe separation, and complete the mission within 600 seconds.",Increase speed to reduce exposure to wind,Disable LiDAR to save power and reduce heat,Climb above 300 m to avoid urban canyon drag,Hover at each waypoint for stable imaging,Transmit full LiDAR data in real time,Extend flight path to avoid dynamic obstacle,Reduce speed and use aerodynamic glide between waypoints,"[""Increase speed to reduce exposure to wind"", ""Disable LiDAR to save power and reduce heat"", ""Climb above 300 m to avoid urban canyon drag"", ""Hover at each waypoint for stable imaging"", ""Transmit full LiDAR data in real time"", ""Extend flight path to avoid dynamic obstacle"", ""Reduce speed and use aerodynamic glide between waypoints""]","Reducing speed and gliding minimizes propulsion energy, critical under high wind and icing-induced drag. It balances mission time and power use, preserving battery for GNSS outages and ensuring return. Other options increase consumption or risk communication/energy limits." 2025-11-01T18:03:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Inspection_with_HAPS_in_Fog_293b211ba5e1_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Inspection_with_HAPS_in_Fog,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,A,False,"At 180s, icing reduces performance; UAV must reach Waypoint 3 at 2200 m AGL within 15s while avoiding a moving no-fly cylinder.","This is a BVLOS inspection mission using a high-altitude pseudo-satellite (HAPS) UAV along a mountainous powerline corridor. The UAV operates between 100 m and 2500 m AGL within a defined geofenced polygon. Weather conditions include poor visibility, strong winds up to 16 m/s increasing with altitude, and icing conditions. The UAV is equipped with a multi-sensor payload including RGB and thermal cameras, LiDAR, radar, and full navigation suite. GNSS signals are degraded due to multipath, jamming at -75 dBm, and electromagnetic interference. A static no-fly zone and a moving no-fly cylinder create dynamic airspace constraints. The mission must contend with an icing fault event at 180 seconds, reducing performance for 120 seconds. Uplink communication is unreliable with two loss windows, though downlink remains functional. The UAV follows a corridor inspection pattern with five waypoints and must maintain 100 m separation from traffic. Thermal updrafts are present but limited, requiring careful energy management over the 600-second mission.","Climb immediately to 2500 m, arc east around cylinder, descend to W3.","Delay climb, fly direct to W3 at 2200 m, underfly cylinder base.","Descend to 100 m, reroute west, bypass cylinder, climb to W3.","Hold level at 2000 m, wait 20s for cylinder to pass, then climb to W3.","Turn north to thermal updraft, gain altitude, then approach W3 from above.","Continue current climb rate, accept 10s delay at W3 due to icing.","Steep climb to 2200 m, cut inside cylinder edge, minimal turn radius.","[""Climb immediately to 2500 m, arc east around cylinder, descend to W3."", ""Delay climb, fly direct to W3 at 2200 m, underfly cylinder base."", ""Descend to 100 m, reroute west, bypass cylinder, climb to W3."", ""Hold level at 2000 m, wait 20s for cylinder to pass, then climb to W3."", ""Turn north to thermal updraft, gain altitude, then approach W3 from above."", ""Continue current climb rate, accept 10s delay at W3 due to icing."", ""Steep climb to 2200 m, cut inside cylinder edge, minimal turn radius.""]","Option A ensures timely arrival by using excess altitude margin to clear the moving cylinder with a safe lateral arc, compensating for GNSS drift and turn radius. It maintains energy resilience during icing by avoiding low-altitude regions and inefficient holds. Other options violate NFZ proximity, delay timing, or risk control loss in degraded navigation." 2025-11-01T18:03:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Snowfall_Swarm_Mission_f1f191c9198a_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Snowfall_Swarm_Mission,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"At 120m AGL with 14 m/s winds and icing, how should the swarm adjust for a 90-second fault while maintaining 15m separation and 10-minute corridor?","This is a BVLOS swarm inspection mission conducted in a wind farm located near a mountain ridge. The airspace is constrained between 30 and 180 meters AGL with a static no-fly zone and a moving restricted zone. Weather includes moderate snowfall, poor visibility, and icing conditions, with increasing wind speeds up to 15 m/s at higher altitudes. Six rotorcraft UAVs, each equipped with GNSS, IMU, lidar, RGB and thermal cameras, operate as a coordinated swarm with role specialization. The drones face GNSS multipath, mild jamming, and electromagnetic interference, impacting navigation reliability. A dynamic moving obstacle and an additional UAV in the airspace require real-time separation monitoring. The mission includes a planned corridor pattern with a time budget of 10 minutes, starting from a designated spawn point. An icing fault event occurs mid-mission, reducing performance for 90 seconds. Communication experiences brief downlink losses, and the swarm must maintain minimum 15-meter inter-vehicle separation. Emergency and preferred landing sites are predefined to support safe mission termination.",Descend to 40m AGL to reduce wind exposure and save energy,Climb to 170m AGL for clearer GNSS and thermal imaging,Halt propulsion to conserve power and wait out the fault,Increase speed to 8 m/s to finish early despite higher drag,Disband swarm and land immediately at emergency sites,"Reduce speed to 3 m/s, lower to 60m AGL, and tighten formation",Maintain altitude and speed using IMU-lidar fusion and spacing buffer,"[""Descend to 40m AGL to reduce wind exposure and save energy"", ""Climb to 170m AGL for clearer GNSS and thermal imaging"", ""Halt propulsion to conserve power and wait out the fault"", ""Increase speed to 8 m/s to finish early despite higher drag"", ""Disband swarm and land immediately at emergency sites"", ""Reduce speed to 3 m/s, lower to 60m AGL, and tighten formation"", ""Maintain altitude and speed using IMU-lidar fusion and spacing buffer""]","Reducing speed lowers power demand and improves control in gusts, while descending to 60m avoids peak winds and maintains terrain clearance. Tightening formation with lidar-based separation preserves coordination, navigational accuracy, and safety under GNSS degradation and icing, balancing energy, stability, and swarm integrity within the time budget." 2025-11-01T18:03:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Powerline_Inspection_with_Convertiplane_977e0cc59d3d_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Powerline_Inspection_with_Convertiplane,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"At 300 m AGL in 12 m/s westerly wind, how should the UAV adjust airspeed and pitch to maintain lift during BVLOS inspection?","This is a BVLOS powerline inspection mission using a convertiplane UAV in a mountain ridge corridor. The airspace is defined by a fixed polygon geofence with minimum and maximum altitudes of 50 and 350 meters AGL. Weather includes strong westerly winds up to 12 m/s at altitude, gusts, hail, and lightning risk. The UAV carries RGB and thermal cameras for inspection, with LiDAR and full GNSS/IMU suite for navigation. GNSS multipath and electromagnetic interference are present, with a simulated jamming event at -75 dBm. A static no-fly zone surrounds a critical infrastructure point, and a dynamic no-fly zone moves through the area. Another UAV and a moving spherical obstacle create traffic and collision avoidance challenges. The mission requires runway takeoff and landing, with a time budget of 15 minutes and specific transition profiles. The UAV must manage battery reserves and withstand a GNSS jamming fault and partial motor failure. Key constraints include maintaining separation, avoiding NFZs, and completing the waypoint corridor under adverse conditions.",Increase airspeed and decrease pitch angle,Decrease airspeed and maintain pitch,Maintain airspeed and reduce angle of attack,Increase pitch angle and reduce thrust,Decrease pitch and increase angle of attack,Increase airspeed and increase pitch angle,Reduce airspeed and increase pitch,"[""Increase airspeed and decrease pitch angle"", ""Decrease airspeed and maintain pitch"", ""Maintain airspeed and reduce angle of attack"", ""Increase pitch angle and reduce thrust"", ""Decrease pitch and increase angle of attack"", ""Increase airspeed and increase pitch angle"", ""Reduce airspeed and increase pitch""]",Increased pitch and airspeed compensate for gust-induced lift fluctuations and maintain positive load factor. Higher dynamic pressure improves control authority in turbulence and offsets reduced lift from lower density altitude. This balances angle of attack and Reynolds number to avoid stall while managing induced drag. 2025-11-01T18:03:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Solar_Wing_Mission_260cd16c8f14_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Solar_Wing_Mission,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"At 1100 m AGL, GNSS jamming hits -75 dBm with 45-second fault; winds at 16 m/s increase drift toward moving restricted zone. What action minimizes risk?","This is a BVLOS solar-powered fixed-wing UAV survey mission over mountainous terrain. The flight occurs in Class G airspace with a defined geofence and multiple altitude constraints between 100 and 1200 meters AGL. Winds are moderate at 8.5 m/s at ground level, increasing to 16 m/s at 1000 meters with directional shear. The UAV carries an RGB camera and radar payload, relying on GNSS, IMU, and barometric sensors for navigation. Significant environmental challenges include GNSS multipath, electromagnetic interference, and a lightning risk event mid-mission. A static no-fly zone and a moving restricted zone require real-time avoidance, along with a drifting spherical obstacle. The mission involves a corridor survey pattern with four waypoints and requires runway-assisted takeoff and landing. Air traffic includes a crossing UAV, and DAA systems monitor separation with a 50-meter threshold. Communication experiences two brief downlink outages, and the UAV must manage battery reserves under high wind and gust loads. Thermal updrafts near the ridge offer potential lift, but GNSS jamming at -75 dBm and a 45-second jamming fault pose navigation risks.",Descend to 100 m AGL to reduce wind exposure and exit jamming zone,Maintain altitude and rely on IMU/barometric navigation until jamming ends,Climb to 1200 m AGL for stronger GNSS signal and reduced obstacle risk,Turn toward thermal updrafts to gain energy and offset drift,Immediately divert to runway using last known GNSS fix,Hold position at 1100 m AGL to wait out the jamming event,Accelerate to traverse jamming zone before fault onset,"[""Descend to 100 m AGL to reduce wind exposure and exit jamming zone"", ""Maintain altitude and rely on IMU/barometric navigation until jamming ends"", ""Climb to 1200 m AGL for stronger GNSS signal and reduced obstacle risk"", ""Turn toward thermal updrafts to gain energy and offset drift"", ""Immediately divert to runway using last known GNSS fix"", ""Hold position at 1100 m AGL to wait out the jamming event"", ""Accelerate to traverse jamming zone before fault onset""]","Descending to 100 m AGL reduces wind-induced drift and exits the high-jamming, high-wind layer, improving navigation reliability. It stays within the 100–1200 m AGL corridor and avoids the moving restricted zone. Other options risk separation loss, exceed endurance, or worsen multipath/jamming exposure." 2025-11-01T18:03:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Solar_Wing_Mission_59b3aae84e69_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Solar_Wing_Mission,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 550 m AGL, 16 m/s headwind, and icing, what adjustment maintains lift with GNSS degraded and visibility poor?","This is a BVLOS solar-powered fixed-wing UAV survey mission over a coastal mountain ridge area. The UAV operates within an altitude range of 50 to 600 meters AGL, navigating a predefined corridor route across challenging terrain. Weather conditions include strong winds up to 16 m/s increasing with altitude, poor visibility, and active hail, posing significant flight risks. The UAV is equipped with RGB cameras for imaging and relies on GNSS, IMU, magnetometer, and barometer for navigation. Notable constraints include GNSS multipath errors, electromagnetic interference, and a -75 dBm jamming signal affecting positioning accuracy. A static no-fly zone and a moving restricted zone require real-time path adjustments to maintain separation. The mission must also contend with a passing traffic UAV and a moving spherical obstacle near the flight path. An icing event occurs mid-mission, reducing aerodynamic efficiency for one minute. Communication experiences brief uplink/downlink outages, requiring resilient control during signal loss. The UAV must return safely to the designated runway for landing within a 10-minute time budget.","Increase angle of attack by 3°, reduce airspeed to 18 m/s","Maintain current pitch, increase throttle to 90%","Descend to 400 m AGL, reduce angle of attack","Bank 25° into wind, hold altitude and speed","Pitch down 2°, increase speed to 24 m/s","Climb to 600 m, trim for 20 m/s","Hold level flight, deploy flaps fully","[""Increase angle of attack by 3°, reduce airspeed to 18 m/s"", ""Maintain current pitch, increase throttle to 90%"", ""Descend to 400 m AGL, reduce angle of attack"", ""Bank 25° into wind, hold altitude and speed"", ""Pitch down 2°, increase speed to 24 m/s"", ""Climb to 600 m, trim for 20 m/s"", ""Hold level flight, deploy flaps fully""]","Icing reduces lift and increases stall risk, requiring higher thrust to maintain airspeed and boundary layer energy. Increasing throttle compensates for degraded aerodynamics without increasing angle of attack near stall. Other options either exceed critical AoA, reduce lift further, or ignore density altitude and wind shear effects." 2025-11-01T18:03:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Solar_Wing_Mission_92d24a97ad98_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Solar_Wing_Mission,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Solar UAV faces 15 m/s winds, GNSS jamming at -75 dBm, and 60s icing. How to optimize energy and avoid breaches?","This is a BVLOS inspection mission using a solar-powered fixed-wing UAV in dense urban airspace. The UAV operates between 50 m and 450 m AGL within a defined geofenced corridor. Weather includes strong westerly winds up to 15 m/s increasing with altitude, gusts, and icing conditions. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors but faces GNSS multipath and jamming at -75 dBm. A static no-fly zone and a moving restricted zone challenge navigation. The mission follows a corridor pattern with four waypoints, requiring runway-aligned takeoff and landing. Icing events occur mid-mission, reducing performance for 60 seconds. A single traffic UAV and a moving spherical obstacle require DAA compliance with 50 m separation. Communication includes a brief downlink loss window, and mission success depends on avoiding breaches, collisions, and battery exhaustion.",Climb to 450 m for better solar exposure and GNSS signal,Descend to 50 m to reduce wind resistance and icing risk,Increase speed to minimize time in restricted zones,Shut down lidar to save power during jamming events,Extend flight path to avoid all moving obstacles by 100 m,Transmit full RGB video continuously during downlink window,"Reduce speed, use IMU-lidar fusion, and optimize altitude for wind","[""Climb to 450 m for better solar exposure and GNSS signal"", ""Descend to 50 m to reduce wind resistance and icing risk"", ""Increase speed to minimize time in restricted zones"", ""Shut down lidar to save power during jamming events"", ""Extend flight path to avoid all moving obstacles by 100 m"", ""Transmit full RGB video continuously during downlink window"", ""Reduce speed, use IMU-lidar fusion, and optimize altitude for wind""]",G balances energy use and safety by reducing airspeed to limit power consumption during icing and wind. Using IMU-lidar fusion maintains navigation accuracy despite GNSS jamming without increasing compute load. Optimal altitude selection minimizes wind-induced drag while preserving solar charging and obstacle clearance. 2025-11-01T18:03:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Survey_Mission_0b61411a651f_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Survey_Mission,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"At 455 s, wind from 240° at 8 m/s with gusts hits; comms drop at 450–465 s. Battery at 45%. Maintain 30–120 m AGL, 25 m separation.","This is a BVLOS survey mission conducted in suburban airspace near a mountain ridge. The UAV is a quadrotor equipped with RGB camera and LiDAR payload for data collection. It operates within a defined corridor between 30 and 120 meters AGL, following a rectangular waypoint pattern. Winds are strong at 8 m/s from 240 degrees with gusts up to 4 m/s and a risk of microbursts. A static no-fly zone blocks the central area, while a moving no-fly zone drifts slowly through the domain. Another UAV and a moving spherical obstacle create dynamic collision hazards. The mission requires maintaining separation of at least 25 meters and 15 seconds time-to-collision with other traffic. GNSS signal may experience multipath due to terrain and structures. Communication experiences brief dropouts between 120–130 and 450–465 seconds. The UAV must complete the survey within 10 minutes while managing battery reserves.","Climb to 110 m AGL, reduce speed to 10 m/s, adjust heading into wind","Descend to 35 m AGL, increase speed to 16 m/s, continue current heading","Hold altitude at 75 m, accelerate to 18 m/s to finish survey early","Descend to 30 m AGL, turn 45° left, reduce speed to 9 m/s","Climb to 120 m AGL, turn 30° right, accelerate to 17 m/s","Maintain 80 m AGL, trim speed to 12 m/s, slight crab angle into wind",Hover at current position until comms restore at 465 s,"[""Climb to 110 m AGL, reduce speed to 10 m/s, adjust heading into wind"", ""Descend to 35 m AGL, increase speed to 16 m/s, continue current heading"", ""Hold altitude at 75 m, accelerate to 18 m/s to finish survey early"", ""Descend to 30 m AGL, turn 45° left, reduce speed to 9 m/s"", ""Climb to 120 m AGL, turn 30° right, accelerate to 17 m/s"", ""Maintain 80 m AGL, trim speed to 12 m/s, slight crab angle into wind"", ""Hover at current position until comms restore at 465 s""]","Maintaining 80 m AGL balances terrain clearance and wind stability while staying within operational limits. A 12 m/s speed conserves energy, ensures GNSS/LiDAR accuracy, and sustains 15-second separation under wind drift. Crab angle compensates for lateral drift without excessive power or deviation, ensuring safe, efficient flight during communication blackout." 2025-11-01T18:03:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Survey_Mission_49393f4092b5_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Survey_Mission,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"Which path maintains 10m separation from dynamic obstacles, stays within 25±2m AGL, and completes all 5 waypoints in ≤600s with 30% battery reserve?","This is a BVLOS survey mission conducted in an underground mine environment. The UAV is a quadrotor equipped with a battery-powered propulsion system and carrying an RGB camera and LiDAR payload. It operates within a confined airspace bounded by altitude limits from 1 to 50 meters AGL and restricted by static and dynamic no-fly zones. The mission follows a corridor survey pattern with five waypoints at a constant altitude of 25 meters. Weather conditions include a moderate 3 m/s wind from the south with gusts up to 2 m/s, though ventilation effects are assumed minimal in the mine. A second UAV and a moving spherical obstacle create dynamic traffic, requiring real-time separation management. The UAV must maintain a minimum separation of 10 meters from other traffic and avoid geofence and NFZ breaches, including a moving cylindrical exclusion zone. Communication experiences two brief downlink loss windows, requiring resilient data handling. GNSS signals may suffer multipath due to the enclosed mine setting, increasing reliance on IMU, barometer, and LiDAR for navigation. The mission emphasizes battery endurance, with a 320 Wh capacity and 30% reserve, and must be completed within a 600-second time budget.",Direct route at 25m; ignore LiDAR updates,Climb to 45m to avoid moving obstacle,Descend to 8m AGL for faster transit,Reroute laterally 12m left at 25m altitude,Hover for 45s until second UAV passes,Cut through cylindrical exclusion zone center,Fly 30m AGL with 5° bank turns,"[""Direct route at 25m; ignore LiDAR updates"", ""Climb to 45m to avoid moving obstacle"", ""Descend to 8m AGL for faster transit"", ""Reroute laterally 12m left at 25m altitude"", ""Hover for 45s until second UAV passes"", ""Cut through cylindrical exclusion zone center"", ""Fly 30m AGL with 5° bank turns""]","Option D maintains the required 25m AGL, respects the 10m separation by lateral avoidance, and minimizes time and energy. It uses LiDAR/IMU for precision in GNSS-denied areas. Other options violate altitude, NFZ, separation, or time constraints." 2025-11-01T18:03:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Survey_with_Convertiplane_219c8a9a9332_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Survey_with_Convertiplane,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 250 m AGL, 15 m/s WSW winds and thermal updrafts challenge stability during transition. What ensures control and lift balance?","This is a BVLOS survey mission using a convertiplane UAV in harbor airspace near mountainous terrain. The UAV is equipped with GNSS, IMU, camera, LiDAR, and other standard sensors, carrying a 1.2 kg payload. Winds are strong and variable, increasing with altitude up to 15 m/s from the west-southwest, with gusts and thermal updrafts present. The mission operates between 30 and 300 meters AGL within a defined polygonal geofence, avoiding a cylindrical no-fly zone near the center. Thermal plumes create localized lift, which may affect flight dynamics and energy usage. GNSS signals are degraded due to multipath and moderate interference, with brief communication dropouts expected. The UAV must follow a corridor survey pattern, transitioning between hover and forward flight, with runway-assisted takeoff and landing. Air traffic and a moving obstacle require separation monitoring, with a 50-meter minimum distance threshold. The flight must complete within 600 seconds while maintaining safe battery reserves and avoiding airspace violations.",Increase pitch to 18° to maximize lift,Reduce rotor RPM to save battery in strong wind,Maintain 110 km/h forward speed with 6° angle of attack,Hover at reduced power to exploit thermal lift,Bank 45° into wind to counter lateral drift,Descend immediately to avoid gust penetration,Transition to fixed-wing mode at 80 km/h and 3° AoA,"[""Increase pitch to 18° to maximize lift"", ""Reduce rotor RPM to save battery in strong wind"", ""Maintain 110 km/h forward speed with 6° angle of attack"", ""Hover at reduced power to exploit thermal lift"", ""Bank 45° into wind to counter lateral drift"", ""Descend immediately to avoid gust penetration"", ""Transition to fixed-wing mode at 80 km/h and 3° AoA""]","At 250 m AGL with strong, gusty winds, transitioning at 80 km/h and 3° AoA ensures efficient lift-to-drag ratio while avoiding flow separation. Fixed-wing mode reduces power demand and improves stability in turbulent airflow. Higher angles or hover increase induced drag and risk loss of control in wind shear." 2025-11-01T18:03:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Solar_Wing_Survey_c03b9b4dfab7_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Solar_Wing_Survey,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Given 30% battery reserve, 600s mission time, and wind up to 15 m/s, which strategy maximizes survey completion while ensuring return?","This is a BVLOS solar-powered fixed-wing UAV survey mission in an urban canyon environment with complex wind conditions. The UAV operates between 30 and 250 meters AGL within a defined polygonal geofence. Winds increase with altitude, shifting from 8 m/s at ground level to 15 m/s at 200 meters, with gusts up to 4 m/s and thermal updrafts enhancing lift in specific zones. The solar wing UAV carries an RGB camera payload and relies on battery power with a 30% reserve requirement. It faces GNSS multipath errors, moderate jamming at -85 dBm, and electromagnetic interference, challenging navigation accuracy. A static no-fly zone and a moving no-fly cylinder must be avoided, along with a dynamic obstacle drifting westward. Air traffic includes another UAV flying west at 15 m/s, requiring 50-meter separation maintained through DAA logic. Communication experiences brief uplink/downlink outages at 120 and 450 seconds, with minimum RSSI at -92 dBm. The mission requires runway-aligned takeoff and landing, with a time budget of 600 seconds to complete a corridor survey pattern across four waypoints.",Climb to 250m immediately for stronger tailwinds and solar exposure,Fly at 30m AGL to minimize wind resistance and save battery,Alternate altitude between 100m and 200m to exploit thermal updrafts,Reduce camera frame rate to cut power and extend endurance,Shorten survey path by skipping waypoint 3 to save time and energy,Increase speed to 20 m/s to finish early despite higher power use,Maintain 150m AGL with adaptive cruise to balance wind and solar gain,"[""Climb to 250m immediately for stronger tailwinds and solar exposure"", ""Fly at 30m AGL to minimize wind resistance and save battery"", ""Alternate altitude between 100m and 200m to exploit thermal updrafts"", ""Reduce camera frame rate to cut power and extend endurance"", ""Shorten survey path by skipping waypoint 3 to save time and energy"", ""Increase speed to 20 m/s to finish early despite higher power use"", ""Maintain 150m AGL with adaptive cruise to balance wind and solar gain""]","Flying at 150m balances reduced wind load compared to 250m and improved solar harvesting over lower altitudes, enabling sustained energy input. Adaptive cruise minimizes unnecessary power spikes while maintaining progress against variable winds. This maximizes mission completion probability within energy and time constraints while preserving battery reserve for safe return." 2025-11-01T18:03:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Survey_with_High-Altitude_Pseudo-Satellite_fa5c9025a018_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Survey_with_High-Altitude_Pseudo-Satellite,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,E,False,"At 3,200 m AGL, 18 m/s winds, and 45-second GNSS jamming, what action maintains swarm separation and avoids NFZs?","This is a BVLOS survey mission using a high-altitude pseudo-satellite UAV in forested mountainous terrain. The UAV operates between 1,000 and 3,500 meters AGL within a defined polygonal airspace. Winds increase with altitude, reaching 18 m/s from the west at 3,000 m, with gusts and microburst risk present. The UAV carries a multi-sensor payload including RGB and thermal cameras, radar, and full navigation sensors. GNSS multipath and intermittent jamming are expected, along with electromagnetic interference. A static no-fly zone and a moving no-fly cylinder create dynamic constraints. The mission involves a coordinated three-UAV swarm flying a corridor pattern, requiring strict 50-meter inter-UAV separation. A mid-mission GNSS jamming fault lasting 45 seconds challenges navigation resilience. Uplink and downlink experience brief communication losses during flight. The UAV must complete its survey within 600 seconds while avoiding traffic, obstacles, and airspace violations.","Descend to 1,200 m AGL and continue survey east",Hold altitude and rely on radar for relative positioning,"Ascend to 3,600 m AGL to escape jamming and gusts",Divert west into moving NFZ to regain GNSS lock,"Execute pre-programmed loss-of-GNSS holding pattern at 2,800 m",Increase speed to exit jamming zone in 30 seconds,Land immediately at nearest runway 40 km away,"[""Descend to 1,200 m AGL and continue survey east"", ""Hold altitude and rely on radar for relative positioning"", ""Ascend to 3,600 m AGL to escape jamming and gusts"", ""Divert west into moving NFZ to regain GNSS lock"", ""Execute pre-programmed loss-of-GNSS holding pattern at 2,800 m"", ""Increase speed to exit jamming zone in 30 seconds"", ""Land immediately at nearest runway 40 km away""]","Holding at 2,800 m stays within authorized AGL band, avoids NFZs, and maintains separation using inertial/relative navigation during jamming. Other options violate altitude limits, enter NFZs, or risk loss of coordination. This balances timing, resilience, and compliance." 2025-11-01T18:03:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Survey_with_HAPS_c3b8c7b4aeb0_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Survey_with_HAPS,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 240 s, icing reduces lift at 2200 m AGL in 18 m/s westerly winds. What action maintains flight stability?","This is a BVLOS survey mission conducted over a harbor area near a mountain ridge using a high-altitude pseudo-satellite (HAPS) UAV. The UAV operates between 100 m and 3000 m AGL within a defined polygonal airspace boundary. Weather includes strong westerly winds up to 18 m/s at altitude, gusts, and a microburst risk, with a known thermal updraft near the center of the zone. The HAPS is equipped with radar, RGB and thermal cameras, and relies on battery power with moderate endurance constraints. GNSS signals are degraded due to multipath effects and electromagnetic interference, with localized jamming at -75 dBm. The mission must avoid a static no-fly zone over a sensitive area and a moving no-fly zone drifting northeast. Air traffic includes another UAV on a crossing path, and a moving spherical obstacle traverses the area. The UAV must maintain separation of at least 150 m from traffic and manage comms outages between 120–130 s and 450–470 s. An icing event occurs at 240 seconds, reducing performance temporarily. The mission concludes with a required runway landing approach toward the western threshold after completing a corridor survey pattern.",Increase angle of attack by 5° to compensate for lift loss,Descend to 1000 m AGL to exit icing layer and denser air,Reduce airspeed from 35 to 25 m/s to minimize ice accretion,Bank 30° into wind to increase lift via load factor,Extend flaps to boost camber and lift at same airspeed,Pitch down 3° to reduce stall risk from contaminated wings,Maintain altitude and increase throttle by 20%,"[""Increase angle of attack by 5° to compensate for lift loss"", ""Descend to 1000 m AGL to exit icing layer and denser air"", ""Reduce airspeed from 35 to 25 m/s to minimize ice accretion"", ""Bank 30° into wind to increase lift via load factor"", ""Extend flaps to boost camber and lift at same airspeed"", ""Pitch down 3° to reduce stall risk from contaminated wings"", ""Maintain altitude and increase throttle by 20%""]","Descending reduces density altitude, increasing Reynolds number and improving boundary layer attachment despite ice. Lower altitudes have warmer temperatures, mitigating ice accumulation. This preserves lift-to-drag ratio and avoids stall at high angle of attack under degraded wing performance." 2025-11-01T18:03:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Swarm_Mission_8dff8e36e9c4_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Swarm_Mission,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"With 30% battery reserve and GNSS jamming at 200 s, how should the swarm adapt to complete the survey within 600 s?","This is a BVLOS swarm survey mission in dense urban airspace with strong crosswinds. Six UAVs operate along a corridor pattern between 30–150 m AGL, navigating around static and moving obstacles. The environment features significant wind shear, thermal updrafts, and GNSS signal degradation due to multipath and jamming. Each drone is a multirotor with RGB camera and LiDAR payload, relying on battery power with a 30% reserve. The swarm includes leader, follower, relay, and scout roles, maintaining minimum 15 m separation. A dynamic no-fly zone moves through the area, requiring real-time rerouting. The mission faces communication dropouts and a simulated GNSS jamming event at 200 seconds. Urban structures create GNSS multipath and electromagnetic interference, challenging navigation. Thermal plumes near waypoints may assist lift but complicate control. Success depends on avoiding collisions, staying within bounds, and completing the route within 600 seconds.",Increase speed to finish before battery depletes,Disable LiDAR to save power and rely on RGB only,Ascend above 150 m to avoid jamming and use thermals,Reduce separation to 10 m to improve coordination,Offload processing to relay drones via high-bandwidth link,Circle in thermals to extend endurance without forward progress,Switch to dead reckoning and optimize path using minimal sensing,"[""Increase speed to finish before battery depletes"", ""Disable LiDAR to save power and rely on RGB only"", ""Ascend above 150 m to avoid jamming and use thermals"", ""Reduce separation to 10 m to improve coordination"", ""Offload processing to relay drones via high-bandwidth link"", ""Circle in thermals to extend endurance without forward progress"", ""Switch to dead reckoning and optimize path using minimal sensing""]","Switching to dead reckoning conserves power by reducing reliance on high-draw GNSS and LiDAR during jamming. It balances computational load and mission progress while preserving battery for critical obstacle avoidance. Other options either increase energy use, violate separation, or sacrifice mission-critical data collection." 2025-11-01T18:03:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Swarm_Mission_in_Rain_5696df94a577_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Swarm_Mission_in_Rain,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"At 210s, UAV-3 must reroute around a drifting sphere at (750, 600) while maintaining 30–180 m AGL and 25 m separation.","This is a BVLOS swarm survey mission conducted in a wind farm airspace featuring dynamic weather and environmental challenges. The operation takes place in mountainous ridge terrain with poor visibility due to rain and icing conditions. Winds are strong and variable, increasing with altitude from 8 m/s at ground level to 14 m/s at 200 m, with gusts up to 4 m/s and shifting direction. A swarm of five hybrid VTOL fixed-wing UAVs, each equipped with GNSS, IMU, lidar, RGB camera, and a 0.3 kg payload, performs the mission. The UAVs operate within a 1500x1500 m geofenced area, maintaining altitudes between 30 and 180 m AGL. A static no-fly zone blocks the center of the airspace, while a moving no-fly cylinder drifts through the area, requiring real-time avoidance. Additional hazards include GNSS multipath, moderate jamming at -75 dBm, and electromagnetic interference disrupting communications. The swarm must navigate around a drifting spherical obstacle and avoid a conflicting UAV on a straight path. Communication dropouts occur briefly at 200 and 400 seconds into the mission, and an icing event reduces performance between 180 and 240 seconds. The mission requires strict separation of at least 25 m between UAVs and a minimum 25 m safety buffer from other traffic and obstacles.","Climb to 180 m, arc 30 m around sphere, resume course","Descend to 25 m AGL, fly direct through sphere center","Hold hover until sphere passes, then proceed to next waypoint","Turn left with 15 m radius, cut 15 m inside sphere boundary","Accelerate straight, clear sphere in 8 seconds using lidar gap","Bank 45° right, descend to 20 m AGL, exit behind sphere","Reduce speed, follow 25 m buffer at 100 m AGL, rejoin path","[""Climb to 180 m, arc 30 m around sphere, resume course"", ""Descend to 25 m AGL, fly direct through sphere center"", ""Hold hover until sphere passes, then proceed to next waypoint"", ""Turn left with 15 m radius, cut 15 m inside sphere boundary"", ""Accelerate straight, clear sphere in 8 seconds using lidar gap"", ""Bank 45° right, descend to 20 m AGL, exit behind sphere"", ""Reduce speed, follow 25 m buffer at 100 m AGL, rejoin path""]","Option G maintains safe 25 m separation and stays within AGL limits while adapting to dynamic obstacle motion. It accounts for GNSS drift and communication latency by using sensor-guided buffer tracking. Other choices violate AGL minimums, NFZ proximity, or separation requirements." 2025-11-01T18:03:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Urban_Canyon_Mission_5da5884bbeb4_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Urban_Canyon_Mission,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"At 280 m AGL, icing begins with 10 min endurance. Winds shift NW at 15 m/s. What is optimal?","This is a BVLOS inspection mission in an urban canyon environment with complex wind and poor visibility. The UAV is a fuel-powered helicopter with a 5 kg payload, equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. It operates between 10 and 300 meters AGL within a defined polygonal airspace that includes static and moving no-fly zones. Winds are strong, increasing with altitude up to 15 m/s, with gusts and a west-to-northwesterly shift, creating turbulence. Icing conditions are present, and a simulated icing event occurs mid-mission, affecting performance. GNSS signals suffer from multipath and moderate jamming, while electromagnetic interference and communication dropouts add risk. The route follows a corridor pattern through narrow urban spaces, requiring precise navigation near buildings. A single traffic UAV and a moving spherical obstacle challenge separation, with DAA thresholds set at 50 meters and 30 seconds TTC. Emergency landing sites are available, but the primary site is near the mission endpoint. The mission must be completed within 10 minutes, with energy management critical due to high hover power and reserve requirements.",Descend to 120 m AGL and continue mission,Climb to 300 m AGL for smoother winds,Divert immediately to primary emergency site,Hold at 280 m AGL for GNSS signal recovery,Reduce speed to minimize icing accumulation,"Turn east to lower multipath, maintain altitude",Descend to 80 m AGL and reroute through urban canyon,"[""Descend to 120 m AGL and continue mission"", ""Climb to 300 m AGL for smoother winds"", ""Divert immediately to primary emergency site"", ""Hold at 280 m AGL for GNSS signal recovery"", ""Reduce speed to minimize icing accumulation"", ""Turn east to lower multipath, maintain altitude"", ""Descend to 80 m AGL and reroute through urban canyon""]","Descending to 120 m AGL reduces exposure to stronger winds and icing risk while staying above urban obstacles. It improves GNSS multipath conditions near buildings compared to lower altitudes and preserves energy for mission completion. Continuing at 280 m increases icing and turbulence risk, while diverting or holding wastes critical endurance." 2025-11-01T18:03:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Urban_Canyon_Mission_ca70abd0df1b_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Urban_Canyon_Mission,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During comms outages at 120–135 s, how should the UAV maintain secure, stable control in the urban canyon with GNSS multipath?","This is a BVLOS inspection mission in an urban canyon environment with tall buildings creating confined flight corridors. The helicopter UAV operates under good visibility but faces moderate winds from 240° at 6 m/s with gusts up to 3.5 m/s. The UAV is a single-rotor helicopter weighing 25 kg with a 1,200 Wh battery and a 2.5 kg payload equipped with RGB camera, LiDAR, and standard navigation sensors. Flight is constrained between 10 m and 250 m AGL within a defined polygonal airspace boundary. There are two no-fly zones: one static cylinder near the center and another moving cylinder drifting southwest at 2.5 m/s. The UAV must avoid dynamic traffic and a moving spherical obstacle while maintaining separation of at least 25 m and 15 s time-to-contact threshold. GNSS signals may suffer multipath effects due to the urban canyon, and brief comms outages occur between 120–135 s and 400–410 s. The mission requires completing a corridor pattern inspection across five waypoints within 600 seconds. Battery reserve is set to 30%, limiting usable energy and requiring efficient route planning to ensure return or emergency landing.",Switch to encrypted AHRS with periodic beacon pings,Increase GNSS weight despite multipath errors,Accept unverified position updates from ground relay,Transmit unencrypted telemetry to backup station,Disable intrusion detection to reduce processing delay,Rely solely on open-loop dead reckoning,Use compressed video to verify position via cloud,"[""Switch to encrypted AHRS with periodic beacon pings"", ""Increase GNSS weight despite multipath errors"", ""Accept unverified position updates from ground relay"", ""Transmit unencrypted telemetry to backup station"", ""Disable intrusion detection to reduce processing delay"", ""Rely solely on open-loop dead reckoning"", ""Use compressed video to verify position via cloud""]","A ensures secure, authenticated state estimation using encrypted inertial data during GNSS and comms degradation. It maintains control stability by avoiding spoofing risks and multipath corruption. Layered defense preserves confidentiality, integrity, and availability without sacrificing situational awareness." 2025-11-01T18:03:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_VTOL_Mission_6bbed92a5a6e_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_VTOL_Mission,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 125 seconds, comms drop and GNSS degrades near a ridge; wind gusts are 4.2 m/s. Which action ensures mission continuity and data integrity?","This is a BVLOS survey mission using a VTOL tiltrotor UAV in rural mountainous terrain. The aircraft operates between 50 and 600 meters AGL within a defined polygonal airspace. Winds are moderate at 8.5 m/s from 240 degrees with gusts up to 4.2 m/s, and visibility is good. The UAV carries an RGB camera and LIDAR payload for data collection. A static no-fly zone blocks the central area, and a dynamic no-fly zone moves slowly through the airspace. Another UAV and a moving spherical obstacle create additional collision risks. Communication experiences brief dropouts between 120–135 and 400–410 seconds. The mission must be completed within 600 seconds, navigating around obstacles while maintaining safe separation. Battery reserve is set to 30%, and GNSS signals may suffer multipath near ridges. The flight begins near a ridge and follows a corridor pattern before proceeding to a central waypoint.",Switch to preloaded encrypted inertial navigation with LIDAR obstacle mapping,Halt and hover using unencrypted Wi-Fi to reestablish command link,Rely solely on GNSS with open-loop PID control during dropout,Transmit unauthenticated telemetry via public radio channel for tracking,Disable sensor fusion to reduce computational latency in control loop,Override tiltrotor actuators manually using unverified ground commands,Enter failsafe spiral descent to prevent unauthorized data access,"[""Switch to preloaded encrypted inertial navigation with LIDAR obstacle mapping"", ""Halt and hover using unencrypted Wi-Fi to reestablish command link"", ""Rely solely on GNSS with open-loop PID control during dropout"", ""Transmit unauthenticated telemetry via public radio channel for tracking"", ""Disable sensor fusion to reduce computational latency in control loop"", ""Override tiltrotor actuators manually using unverified ground commands"", ""Enter failsafe spiral descent to prevent unauthorized data access""]","Switching to encrypted inertial navigation preserves control stability during GNSS and comms loss, while LIDAR maintains obstacle awareness. This ensures data integrity and availability without exposing the control channel to spoofing or jamming. Other options introduce unsecured links, single points of failure, or unsafe maneuvers." 2025-11-01T18:03:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_VTOL_Mission_32e2af7058fc_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_VTOL_Mission,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"At 300 m AGL, 16 m/s winds from 260° and GNSS jamming at -75 dBm occur during 120–135 s comms outage. Which action maintains mission safety and timing?","This is a BVLOS VTOL survey mission in dense urban airspace featuring a tiltrotor UAV equipped with RGB camera and LiDAR payload. The UAV operates within a 50–450 m AGL altitude band, navigating a rectangular corridor pattern across an 800×600 m area. Strong and increasing winds up to 16 m/s at 300 m altitude come from 240–280° with gusts and dust, reducing visibility. The environment includes GNSS multipath, moderate jamming at -75 dBm, and electromagnetic interference affecting navigation. A static no-fly zone and a moving restricted zone require real-time avoidance, along with a dynamic obstacle drifting westward at 1 m/s. Air traffic includes another UAV approaching from the east boundary on a westward track. The mission requires runway-aligned takeoff and landing with defined transition times between hover and forward flight. Communication experiences brief uplink/downlink outages between 120–135 s and 450–465 s with minimum RSSI at -82 dBm. Battery capacity is limited to 1200 Wh with a 30% reserve, demanding efficient energy use over the 600-second time budget.","Continue survey at 300 m, relying on inertial nav during outage",Descend to 150 m to reduce wind exposure and EMI effects,Abort mission immediately due to loss of GNSS lock,Increase speed to exit outage zone before 135 s,Climb to 400 m for clearer GNSS signal above multipath,Hover at 300 m until comms restore at 135 s,Divert north to avoid moving restricted zone and traffic,"[""Continue survey at 300 m, relying on inertial nav during outage"", ""Descend to 150 m to reduce wind exposure and EMI effects"", ""Abort mission immediately due to loss of GNSS lock"", ""Increase speed to exit outage zone before 135 s"", ""Climb to 400 m for clearer GNSS signal above multipath"", ""Hover at 300 m until comms restore at 135 s"", ""Divert north to avoid moving restricted zone and traffic""]","Descending to 150 m reduces wind load and electromagnetic interference while staying within the safe altitude band, preserving energy and navigation accuracy. It avoids hovering (inefficient) or climbing (higher wind), and maintains corridor alignment for seamless survey resumption post-outage." 2025-11-01T18:03:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Warehouse_Inspection_9faa20060edc_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Warehouse_Inspection,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,A,False,"Which path optimally inspects all walls at 2m altitude, avoids the 3m-radius NFZ, and completes within 10 minutes with 5m obstacle clearance?","This is an indoor warehouse inspection mission using a single battery-powered helicopter UAV. The flight occurs entirely inside a confined rectangular airspace measuring 50 by 30 meters with a height limit of 15 meters AGL. A cylindrical no-fly zone with a 3-meter radius is centered in the warehouse, restricting access around a critical area. The UAV is equipped with RGB camera and LiDAR for visual inspection and obstacle detection, supported by GNSS, IMU, magnetometer, and barometer for navigation. Despite indoor operation, simulated GNSS signals are available though potential multipath effects near structures are a concern. The mission follows a rectangular corridor pattern at 2 meters altitude, inspecting all four walls of the space within a 10-minute time budget. Wind conditions are mild with a 3 m/s southerly breeze and minor gusts, though ventilation systems may cause localized turbulence. The UAV must maintain a minimum separation of 5 meters from obstacles and avoid geofence violations, with strict monitoring of battery reserves. Takeoff and landing occur at a designated site near the corner, with an emergency landing spot available on the opposite side. Mission success depends on completing the waypoint circuit without collisions, breaching safety thresholds, or depleting the battery below reserve levels.","Fly clockwise rectangular pattern at 2m, 5m from walls, skirting NFZ perimeter",Reduce altitude to 1.5m to gain clearance margin near racks,Cut through NFZ center to shorten path and save battery,Increase speed to 8 m/s to finish early despite GNSS drift,"Circle NFZ at 4m radius, then inspect rear walls last","Deviate 7m west around NFZ, then return to corridor at 3m AGL",Hover 30s at each corner for stable LiDAR scans,"[""Fly clockwise rectangular pattern at 2m, 5m from walls, skirting NFZ perimeter"", ""Reduce altitude to 1.5m to gain clearance margin near racks"", ""Cut through NFZ center to shorten path and save battery"", ""Increase speed to 8 m/s to finish early despite GNSS drift"", ""Circle NFZ at 4m radius, then inspect rear walls last"", ""Deviate 7m west around NFZ, then return to corridor at 3m AGL"", ""Hover 30s at each corner for stable LiDAR scans""]","Option A maintains the required 2m inspection altitude and 5m obstacle separation while safely orbiting the 3m-radius NFZ. The rectangular corridor pattern at 5m from walls ensures full coverage with minimal deviation, preserving battery and time. Other options violate altitude, penetrate NFZ, extend duration, or increase risk from GNSS multipath or turbulence." 2025-11-01T18:03:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_Ridge_BVLOS_Warehouse_Inspection_c381e7bc68f0_mcq.json,uavbench-mcq-v1,Mountain_Ridge_BVLOS_Warehouse_Inspection,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"A quadrotor inspects 4 waypoints in 10 minutes, battery 220 Wh, 30% reserve, 5m separation, 0.5–12m altitude, dusty indoor air.","This is a BVLOS inspection mission inside a warehouse using a quadrotor UAV equipped with RGB camera and LiDAR payload. The flight occurs in an indoor airspace with poor visibility due to dust and light wind from the south. The UAV must navigate within a confined rectangular volume, avoiding a central cylindrical no-fly zone around critical infrastructure. Flight altitude is restricted between 0.5 and 12 meters AGL, with strict geofencing boundaries. The mission involves inspecting four waypoints in a corridor pattern within a 10-minute time limit. The UAV has a battery capacity of 220 Wh and must maintain a 30% reserve for safe return. GNSS signals may suffer multipath interference due to indoor conditions, relying more on sensor fusion from IMU, barometer, and LiDAR. Collision avoidance is enforced with a 5-meter separation threshold and 5-second time-to-contact alert. The UAV spawns at one corner and must return to the designated landing site after completing the inspection.","Fly all waypoints at 11m altitude, return directly after last inspection","Descend to 0.6m after each waypoint to verify with LiDAR, then proceed","Increase speed to 8 m/s to save time, ignoring dust-induced latency",Hover 5 seconds at each waypoint to ensure image clarity despite wind,Reduce separation threshold to 3m to allow tighter corridor navigation,"Transmit all LiDAR data continuously, prioritizing bandwidth over energy","Adjust route to minimize turn angles, balancing energy and time","[""Fly all waypoints at 11m altitude, return directly after last inspection"", ""Descend to 0.6m after each waypoint to verify with LiDAR, then proceed"", ""Increase speed to 8 m/s to save time, ignoring dust-induced latency"", ""Hover 5 seconds at each waypoint to ensure image clarity despite wind"", ""Reduce separation threshold to 3m to allow tighter corridor navigation"", ""Transmit all LiDAR data continuously, prioritizing bandwidth over energy"", ""Adjust route to minimize turn angles, balancing energy and time""]",Optimizes energy-time trade-off while respecting battery reserve and timing. Smooth trajectory reduces power spikes and dust-induced sensor errors. Maintains 5m separation and supports reliable sensor fusion for safe BVLOS navigation. 2025-11-01T18:03:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_SAR_Mission_Hexacopter_76417f5bdeec_mcq.json,uavbench-mcq-v1,Mountain_SAR_Mission_Hexacopter,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 240s, icing reduces performance; comms drop at 300s. Which action maintains control and security during degradation?","This is a mountainous search and rescue mission using a battery-powered hexacopter equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The UAV operates in poor visibility with active icing conditions and strong westerly winds including gusts. The mission takes place in a rectangular mountain airspace with a strict geofence and a central no-fly zone cylinder near the search area. The hexacopter must complete a corridor search pattern across five waypoints within a 10-minute time budget while maintaining safe altitude and avoiding obstacles. A moving spherical obstacle drifts leftward at 2 m/s near one of the waypoints, requiring dynamic avoidance. The UAV shares airspace with one other traffic drone approaching from the east. GNSS multipath is not modeled, but communication dropouts occur briefly at 300 and 550 seconds, potentially affecting control links. An icing fault event reduces performance between 240 and 300 seconds, increasing power draw and degrading flight characteristics. The UAV must return safely to its preferred landing site or an emergency zone while preserving at least 30% battery and avoiding any NFZ, geofence, or separation breaches.",Switch to encrypted telemetry with authenticated commands,Disable LiDAR to save power and reduce sensor load,Rely solely on GNSS with open-loop command repeats,Transmit unencrypted video to preserve bandwidth,Increase control frequency using predictive waypoint jumps,Use symmetric key re-authentication every 10 seconds,Abort mission immediately to prevent NFZ breach,"[""Switch to encrypted telemetry with authenticated commands"", ""Disable LiDAR to save power and reduce sensor load"", ""Rely solely on GNSS with open-loop command repeats"", ""Transmit unencrypted video to preserve bandwidth"", ""Increase control frequency using predictive waypoint jumps"", ""Use symmetric key re-authentication every 10 seconds"", ""Abort mission immediately to prevent NFZ breach""]",Encrypted and authenticated telemetry ensures command integrity and prevents spoofing during communication dropouts. It supports resilient control under icing-induced latency and maintains trust in sensor-fused navigation. Other options either weaken security or fail to sustain control-loop stability. 2025-11-01T18:03:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_SAR_Quadrotor_Mission_35339d8db2e4_mcq.json,uavbench-mcq-v1,Mountain_SAR_Quadrotor_Mission,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 200s, icing reduces thrust; wind is 15 m/s. Which action balances energy, safety, and mission time near (800, 600)?","This is a mountainous search and rescue mission using a battery-powered quadrotor UAV equipped with RGB and thermal cameras. The operation takes place in a mountainous airspace with poor visibility due to snowfall and icing conditions. Winds are strong, increasing with altitude up to 15 m/s, and shifting direction, creating challenging flight dynamics. The UAV must navigate around static and moving no-fly zones, including a dynamic obstacle drifting through the area. GNSS signals are degraded due to multipath and interference, with brief communication dropouts expected. The flight is constrained by strict altitude limits and a polygon geofence, with a cylindrical NFZ near the center and another moving NFZ. Thermal updrafts are present near coordinates (800, 600), potentially affecting stability. The mission involves following a corridor search pattern through five waypoints within a 10-minute time budget. An icing fault is simulated at 200 seconds, reducing performance for one minute. The UAV must maintain separation from a traffic UAV and a moving spherical obstacle while managing battery reserves and sensor reliability.",Climb to 120m for clearer GNSS and thermal lift,Descend to 60m to reduce wind exposure and save power,Hold position at 90m until icing fault clears,Accelerate through corridor to maintain schedule,"Circle at (800, 600) to maximize thermal detection",Divert east to avoid moving NFZ and traffic UAV,"Reduce speed, descend to 75m, and compress search spacing","[""Climb to 120m for clearer GNSS and thermal lift"", ""Descend to 60m to reduce wind exposure and save power"", ""Hold position at 90m until icing fault clears"", ""Accelerate through corridor to maintain schedule"", ""Circle at (800, 600) to maximize thermal detection"", ""Divert east to avoid moving NFZ and traffic UAV"", ""Reduce speed, descend to 75m, and compress search spacing""]","Descending slightly reduces wind load and conserves energy while avoiding terrain and geofence violations. Reducing speed maintains control in degraded icing and GNSS conditions, ensuring detection accuracy. This balances aerodynamic stability, sensor efficacy, collision avoidance, and mission completion within battery and time limits." 2025-11-01T18:03:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_SAR_Glider_Mission_6451f392acbf_mcq.json,uavbench-mcq-v1,Mountain_SAR_Glider_Mission,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 800 m AGL, winds shift to 270° and icing reduces lift for 60 s; maintain search efficiency within 600 s and avoid 1200 m ceiling.","This is a mountain search and rescue mission using a fixed-wing glider UAV equipped with RGB and thermal cameras. The flight occurs in rugged mountainous terrain with poor visibility and icing conditions present. Winds are strong, increasing with altitude, and shifting direction from 240° at ground level to 270° at 1000 meters. The glider has a battery-powered propulsion system and relies on aerodynamic efficiency, with a stall speed of 10.5 m/s and a maximum speed of 22 m/s. GNSS signals are degraded due to multipath effects and electromagnetic interference, with moderate jamming at -85 dBm. The operational airspace is bounded between 100 m and 1200 m AGL, confined within a polygonal geofence. A static no-fly zone protects a central area, and a dynamic no-fly zone moves slowly across the region. The mission includes a predefined corridor search pattern with five waypoints and a 600-second time budget. A single traffic UAV flies through the area on a fixed path, and a moving spherical obstacle drifts through the airspace. The UAV must manage battery reserves, avoid stalls, maintain separation, and handle a simulated icing event that reduces performance for one minute.",Climb to 1100 m for stronger tailwinds and better GNSS signal,Descend to 200 m to escape icing and reduce wind shear effects,Hold altitude and increase speed to 20 m/s for control authority,Turn downwind now to gain speed without added thrust,Enter thermal hold pattern at 600 m to conserve battery and wait out icing,Reduce speed to 12 m/s and bank 25° toward the corridor center,Pitch down slightly and apply partial thrust to maintain 15 m/s,"[""Climb to 1100 m for stronger tailwinds and better GNSS signal"", ""Descend to 200 m to escape icing and reduce wind shear effects"", ""Hold altitude and increase speed to 20 m/s for control authority"", ""Turn downwind now to gain speed without added thrust"", ""Enter thermal hold pattern at 600 m to conserve battery and wait out icing"", ""Reduce speed to 12 m/s and bank 25° toward the corridor center"", ""Pitch down slightly and apply partial thrust to maintain 15 m/s""]","G maintains safe airspeed above stall (10.5 m/s) during icing, uses minimal thrust to conserve battery, and sustains trajectory control under wind and lift loss. It balances aerodynamic risk, energy use, and mission timing without violating altitude or geofence constraints. Other options either risk stall, exceed altitude limits, waste energy, or deviate from search coverage." 2025-11-01T18:03:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Aerial_Mapping_with_Octocopter_0ac6bca7ac14_mcq.json,uavbench-mcq-v1,Mountainous_Aerial_Mapping_with_Octocopter,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"Given 8.5 m/s winds, a moving obstacle at 1 m/s west, and 10s comms loss, which path balances mapping coverage and 25m UAV separation?","This mission involves aerial mapping in a mountainous region using an octocopter equipped with an RGB camera. The flight area is a 400m by 500m polygon with an altitude range from 50m to 300m AGL. Winds are moderate at 8.5 m/s from 240 degrees with gusts up to 4.2 m/s, and visibility is good. A static no-fly zone is present as a cylinder near the center, and a dynamic no-fly zone moves slowly through the area. Another UAV is flying nearby, requiring separation of at least 25 meters and a time-to-closest approach threshold of 20 seconds. A moving spherical obstacle drifts westward at 1 m/s, adding complexity to path planning. The octocopter must complete a corridor-style mapping route within 600 seconds, starting and ideally landing at the southeast corner. Battery capacity is limited to 450 Wh, with a 30% reserve required for safe return. GNSS signals may be affected by terrain-induced multipath, especially in lower areas. Communication experiences two brief loss windows during the flight, each lasting 10 seconds.",Fly direct east-to-west at 100m AGL to minimize wind resistance,Delay start by 45s to avoid closest approach with nearby UAV,Climb to 200m AGL for clearer GNSS and obstacle visibility,Reduce speed by 30% in lower terrain to conserve battery,Transmit data bursts during comms windows to ground station,Follow dynamic no-fly zone edge to exploit its protective buffer,Reroute north early to preempt collision with drifting sphere,"[""Fly direct east-to-west at 100m AGL to minimize wind resistance"", ""Delay start by 45s to avoid closest approach with nearby UAV"", ""Climb to 200m AGL for clearer GNSS and obstacle visibility"", ""Reduce speed by 30% in lower terrain to conserve battery"", ""Transmit data bursts during comms windows to ground station"", ""Follow dynamic no-fly zone edge to exploit its protective buffer"", ""Reroute north early to preempt collision with drifting sphere""]",Rerouting early maintains safe distance from the westward-drifting obstacle while preserving time and energy for the corridor task. It avoids reactive maneuvers that could violate the 25m UAV separation during comms loss. This proactive coordination ensures path predictability for both UAVs and maintains mission timeline within 600 seconds. 2025-11-01T18:03:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountain_SAR_with_VTOL_Tiltrotor_0f6d07531716_mcq.json,uavbench-mcq-v1,Mountain_SAR_with_VTOL_Tiltrotor,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,B,False,"Which path respects NFZs, completes 4 spiral waypoints in ≤600s, and avoids 16 m/s winds at 2000 m?","This scenario involves a mountain search and rescue mission using a VTOL tiltrotor UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place in a mountainous airspace with high elevation terrain and variable wind conditions increasing with altitude. Winds are strong, starting at 8 m/s from 240° at ground level and reaching 16 m/s from 270° at 2000 meters, with gusts up to 4.5 m/s and a risk of lightning. The UAV must navigate around static and dynamic no-fly zones, including a large cylinder near the center and a moving restricted zone traveling northeast. GNSS multipath and electromagnetic interference are present, with a planned GNSS jamming fault occurring mid-mission, lasting 45 seconds. The mission requires the UAV to follow a spiral search pattern through four waypoints while maintaining safe separation from a moving obstacle and another UAV on a collision course. A runway-assisted takeoff and landing are required, with preferred and emergency landing sites defined. Battery endurance is limited, with a 30% reserve required and high power draw during hover and wind resistance. The UAV must complete the mission within 600 seconds while avoiding airspace violations, collisions, and DAA breaches under challenging flight and environmental conditions.","Climb to 2000 m, direct route between waypoints","Follow spiral at 1800 m, avoid moving NFZ northeast",Descend below 1500 m after first waypoint,"Fly at 1900 m, cut across cylinder NFZ center","Reroute east to avoid obstacle, delay at WP3","Maintain 1700 m, adjust heading for wind from 270°",Hover at WP2 for 45 s during GNSS jamming,"[""Climb to 2000 m, direct route between waypoints"", ""Follow spiral at 1800 m, avoid moving NFZ northeast"", ""Descend below 1500 m after first waypoint"", ""Fly at 1900 m, cut across cylinder NFZ center"", ""Reroute east to avoid obstacle, delay at WP3"", ""Maintain 1700 m, adjust heading for wind from 270°"", ""Hover at WP2 for 45 s during GNSS jamming""]","Flying at 1800 m avoids peak winds at 2000 m while staying above terrain and clear of moving NFZ. It maintains spiral pattern integrity, respects timing, and allows terrain-relative navigation during GNSS outage. Other options breach NFZ, waste time, or increase exposure to wind and jamming." 2025-11-01T18:03:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Convoy_Escort_Mission_cec88265821f_mcq.json,uavbench-mcq-v1,Mountainous_Convoy_Escort_Mission,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"Which path keeps the UAV within 100–600 m AGL, avoids the NFZ, and maintains 50 m separation from traffic while minimizing time?","This is a fixed-wing UAV mission to escort a convoy through mountainous terrain. The flight occurs in a designated airspace with a minimum altitude of 100 meters AGL and a maximum of 600 meters AGL. Winds are from the west at 8 m/s with gusts up to 4 m/s, and visibility is good. The UAV is equipped with radar, RGB and thermal cameras, and relies on GNSS, IMU, and other standard sensors. A no-fly zone cylinder is present near the center of the area, requiring careful path planning to avoid. The mission must be completed within 600 seconds, following a predefined corridor of waypoints. There is another UAV in the airspace on a crossing path, and a moving spherical obstacle drifts southwest. The UAV must maintain at least 50 meters separation from traffic to avoid DAA breaches. Takeoff and landing require the designated runway, with one preferred and one emergency site available. GNSS multipath effects may occur due to terrain, and the UAV must manage battery reserves to ensure safe return.","Fly direct at 450 m AGL, ignoring wind correction",Climb to 650 m AGL to clear obstacle early,Descend to 90 m AGL between waypoints to reduce exposure,"Reroute east, holding 500 m AGL, adjusting for 8 m/s west wind","Maintain 300 m AGL, proceed without obstacle drift compensation",Cut through NFZ center to save 40 seconds,"Delay takeoff to let other UAV pass, then fly direct","[""Fly direct at 450 m AGL, ignoring wind correction"", ""Climb to 650 m AGL to clear obstacle early"", ""Descend to 90 m AGL between waypoints to reduce exposure"", ""Reroute east, holding 500 m AGL, adjusting for 8 m/s west wind"", ""Maintain 300 m AGL, proceed without obstacle drift compensation"", ""Cut through NFZ center to save 40 seconds"", ""Delay takeoff to let other UAV pass, then fly direct""]","Option D maintains safe altitude within 100–600 m AGL, avoids the NFZ and moving obstacle by lateral separation, and compensates for west wind to ensure timely waypoint arrival. It accounts for wind drift and dynamic obstacles while optimizing path efficiency. Other options violate altitude limits, breach the NFZ, or fail to adapt to traffic and drift." 2025-11-01T18:03:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Border_Patrol_with_Swarm_Drones_under_Icing_Conditions_75c786596011_mcq.json,uavbench-mcq-v1,Mountainous_Border_Patrol_with_Swarm_Drones_under_Icing_Conditions,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which drone configuration best maintains swarm coordination, 600s endurance, and 0.3 kg payload under icing and 30s comms dropouts in mountains?","This scenario involves a swarm drone border patrol mission in mountainous terrain. The operation takes place within a defined rectangular airspace containing static and moving no-fly zones. Weather conditions include strong winds from the southwest, gusts, poor visibility, and in-flight icing. The UAVs are battery-powered quadcopters equipped with GNSS, IMU, lidar, RGB and thermal cameras. Each drone carries a 0.3 kg payload and operates as part of a five-vehicle swarm with assigned roles. The mission follows a corridor patrol pattern with a time budget of 600 seconds. A dynamic no-fly zone moves through the area, requiring real-time avoidance. An icing event occurs mid-mission, reducing performance for one minute. Communication dropouts are expected at specific intervals, challenging command and control. Strict separation standards are enforced to avoid collisions with terrain, obstacles, and other air traffic.",Fixed-wing with extended range but slower climb rate,Tri-rotor with lightweight frame and reduced redundancy,Hexacopter with dual batteries and de-icing heaters,Quadcopter with minimal sensors to save power,Hybrid VTOL with high-altitude optimization,Quadcopter with single battery and full sensor suite,Octocopter with payload-sharing but higher energy use,"[""Fixed-wing with extended range but slower climb rate"", ""Tri-rotor with lightweight frame and reduced redundancy"", ""Hexacopter with dual batteries and de-icing heaters"", ""Quadcopter with minimal sensors to save power"", ""Hybrid VTOL with high-altitude optimization"", ""Quadcopter with single battery and full sensor suite"", ""Octocopter with payload-sharing but higher energy use""]","The hexacopter offers sufficient redundancy for fault tolerance during comms dropouts and icing, while dual batteries offset energy losses. De-icing maintains aerodynamic efficiency and sensor function, critical for 600s mission integrity. Other options sacrifice endurance, safety, or payload capability under combined stressors." 2025-11-01T18:03:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Corridor_Follow_with_Thermal_Updrafts_44ff0f593377_mcq.json,uavbench-mcq-v1,Mountainous_Corridor_Follow_with_Thermal_Updrafts,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 470s, comms drop for 30s, battery at 38% remaining, 1.8km from home, dynamic no-fly zone encroaching from southwest at 3m/s.","This UAV mission involves a hexacopter conducting a survey in a mountainous corridor with thermal updrafts. The operation takes place within a defined polygonal airspace spanning 2km by 1.5km, with altitude limits between 50m and 450m AGL. Weather conditions include a 6.5 m/s wind from 240°, increasing with altitude, and gusts up to 3.2 m/s, along with thermal updrafts providing lift near two plume centers. The hexacopter is equipped with standard sensors including GNSS, IMU, barometer, magnetometer, LiDAR, and an RGB camera, but lacks thermal imaging. Notable constraints include GNSS multipath effects and moderate jamming at -95 dBm, potentially degrading positioning accuracy. A static no-fly zone blocks the central corridor, and a dynamic no-fly zone moves southwest, requiring real-time avoidance. The UAV must follow a predefined waypoint path while avoiding a moving spherical obstacle and maintaining separation from another UAV on a crossing trajectory. Battery capacity is limited to 520 Wh, with a reserve fraction of 30%, and energy use is influenced by drag and maneuvering. Communication links experience brief dropouts between 120–135s and 480–500s, requiring resilient data handling. The mission must be completed within 600 seconds, with success contingent on adherence to airspace, collision avoidance, and energy management.",Continue current path to complete survey data collection,Climb to 450m for better GNSS signal and wind advantage,Descend to 60m AGL to reduce wind exposure and power use,"Divert east to avoid dynamic no-fly zone, adding 400m flight",Abort mission and initiate emergency landing in valley,Proceed through static no-fly zone to shorten return path,"Maintain course and speed, relying on LiDAR for obstacle detection","[""Continue current path to complete survey data collection"", ""Climb to 450m for better GNSS signal and wind advantage"", ""Descend to 60m AGL to reduce wind exposure and power use"", ""Divert east to avoid dynamic no-fly zone, adding 400m flight"", ""Abort mission and initiate emergency landing in valley"", ""Proceed through static no-fly zone to shorten return path"", ""Maintain course and speed, relying on LiDAR for obstacle detection""]","Diverting east avoids the dynamic no-fly zone without violating airspace rules or endangering operations. It balances energy use, mission continuity, and regulatory compliance. Other options risk collision, illegal entry, or excessive energy depletion near reserve limits." 2025-11-01T18:03:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Disaster_Reconnaissance_with_Quadrotor_83c1813e1d05_mcq.json,uavbench-mcq-v1,Mountainous_Disaster_Reconnaissance_with_Quadrotor,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"A UAV must navigate between 50–300 m AGL, avoid a drifting no-fly zone, and maintain 25 m separation within 600 seconds.","This is a search and rescue mission using a battery-powered quadrotor UAV in mountainous terrain. The UAV is equipped with RGB and thermal cameras for payload and relies on GNSS, IMU, magnetometer, and barometer for navigation. Operations occur within a defined polygonal airspace bounded between 50 and 300 meters AGL, featuring both static and moving no-fly zones. A static no-fly cylinder is centered at (400, 300) with a 50-meter radius and vertical limits from 50 to 150 meters. A dynamic no-fly zone drifts at (-2.0, 1.5) m/s, posing an additional avoidance challenge. Wind is blowing at 8 m/s from 240 degrees with 4 m/s gusts, affecting flight stability and energy consumption. The UAV must complete a corridor-style waypoint mission within 600 seconds while avoiding a single intruder UAV and a moving spherical obstacle. Communication includes two planned downlink loss windows, which may impact telemetry and control. Notable constraints include minimum safe separation of 25 meters, battery reserve requirements, and GNSS reliance in an environment prone to signal multipath due to terrain.",Climb to 300 m AGL and proceed direct to final waypoint,Descend to 45 m AGL to reduce wind impact and continue,Divert east to bypass static NFZ at 175 m AGL,Fly through static NFZ at 100 m to save time,Hover for 30 seconds to await dynamic NFZ drift,Turn west to avoid dynamic NFZ and descend to 60 m AGL,Accelerate to intercept path before intruder arrives,"[""Climb to 300 m AGL and proceed direct to final waypoint"", ""Descend to 45 m AGL to reduce wind impact and continue"", ""Divert east to bypass static NFZ at 175 m AGL"", ""Fly through static NFZ at 100 m to save time"", ""Hover for 30 seconds to await dynamic NFZ drift"", ""Turn west to avoid dynamic NFZ and descend to 60 m AGL"", ""Accelerate to intercept path before intruder arrives""]","The static NFZ spans 50–150 m AGL with 50 m radius; flying through (D) violates vertical and lateral limits. Descending below 50 m AGL (B) breaches the minimum operational altitude. Option C maintains safe altitude and separation while efficiently rerouting. It avoids the dynamic NFZ trajectory, respects AGL bounds, and preserves battery for wind resistance." 2025-11-01T18:03:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Dusty_Delivery_Swarm_87c8bcc8ce1a_mcq.json,uavbench-mcq-v1,Mountainous_Dusty_Delivery_Swarm,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"With 15m drone separation, 600s limit, and moderate SW winds, what ensures stable corridor navigation during GNSS dropouts at 120–130s?","This is a package delivery mission using a swarm of four battery-powered drones in mountainous terrain. The operation takes place in a confined airspace with a static no-fly zone and a moving restricted zone. Dusty conditions and moderate winds from the southwest reduce visibility and increase flight challenges. Each drone is equipped with GNSS, IMU, lidar, and RGB camera for navigation and obstacle avoidance. The swarm must maintain a minimum separation of 15 meters between drones and avoid a dynamic obstacle moving diagonally through the area. Communication experiences brief dropouts between 120–130 and 400–415 seconds. The mission requires navigating a corridor of waypoints within 600 seconds and landing at a preferred site, with an emergency option available. GNSS multipath effects are possible due to terrain, and strict separation thresholds are enforced for collision avoidance. Battery endurance and wind-induced power consumption are key constraints for successful mission completion.",Increase altitude to reduce density altitude effects,Rely solely on GNSS when signal resumes,Use lidar-IMU fusion for continuous position updates,Descend rapidly to avoid moving restricted zone,Maximize airspeed to reduce flight time,Hover until communication restores at 130s,Bank sharply to maintain waypoint alignment,"[""Increase altitude to reduce density altitude effects"", ""Rely solely on GNSS when signal resumes"", ""Use lidar-IMU fusion for continuous position updates"", ""Descend rapidly to avoid moving restricted zone"", ""Maximize airspeed to reduce flight time"", ""Hover until communication restores at 130s"", ""Bank sharply to maintain waypoint alignment""]","Lidar-IMU fusion provides accurate state estimation during GNSS outages by integrating inertial dynamics and terrain-relative sensing. This maintains aerodynamic stability and avoids reliance on delayed or lost signals. Other options either increase drag, risk collision, or disrupt lift-thrust balance under wind gusts." 2025-11-01T18:03:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Facade_Inspection_with_Fixed-Wing_UAV_in_Rain_7dfd51068fd7_mcq.json,uavbench-mcq-v1,Mountainous_Facade_Inspection_with_Fixed-Wing_UAV_in_Rain,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 180m AGL in rain with 8 m/s gusts and GNSS multipath, how should navigation adapt during icing?","Fixed-wing UAV conducts facade inspection in mountainous terrain under rainy and icy conditions. Mission takes place in a defined corridor with altitudes between 30 and 250 meters AGL. Weather includes strong winds up to 8 m/s with gusts, poor visibility, and active icing conditions. UAV is equipped with RGB camera payload for visual inspection and relies on GNSS/IMU navigation. GNSS signals experience multipath errors and moderate jamming, with additional electromagnetic interference. A static no-fly zone and a moving no-fly cylinder create dynamic airspace constraints. Another UAV and a drifting spherical obstacle introduce collision risks during flight. Thermal updrafts near coordinates (300, 600) may affect flight dynamics. The UAV must follow a predefined waypoint path and return to a designated runway for landing. An icing fault event occurs mid-mission, reducing performance for one minute.",Trust GNSS exclusively; jamming is moderate,Switch to IMU-only for 2 minutes,Fuse IMU with visual odometry from camera,Climb to 300m for clearer GNSS signal,Descend to 20m AGL to avoid wind,Hover until icing fault clears,Follow waypoints using magnetic heading,"[""Trust GNSS exclusively; jamming is moderate"", ""Switch to IMU-only for 2 minutes"", ""Fuse IMU with visual odometry from camera"", ""Climb to 300m for clearer GNSS signal"", ""Descend to 20m AGL to avoid wind"", ""Hover until icing fault clears"", ""Follow waypoints using magnetic heading""]","GNSS suffers multipath and jamming, while IMU drifts under wind gusts and icing. Visual odometry from the RGB camera provides independent motion estimates, enabling robust fusion with IMU to maintain accuracy. This approach mitigates GNSS degradation and environmental dynamics without violating altitude or obstacle constraints." 2025-11-01T18:03:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Forest_Search_with_Hexacopter_9c75115a63bc_mcq.json,uavbench-mcq-v1,Mountainous_Forest_Search_with_Hexacopter,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,D,False,"With 1200 Wh battery and 8.5 m/s winds, which strategy maximizes search coverage within 600 seconds while ensuring safe return?","This is a search and rescue mission conducted in mountainous forest terrain using a hexacopter UAV. The aircraft is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors for detecting targets in rugged, vegetated areas. The flight occurs in good visibility with moderate wind at 8.5 m/s from 240 degrees, including 4.2 m/s gusts, increasing control challenges. The UAV has a battery capacity of 1200 Wh and must manage energy carefully due to wind and terrain-induced power demands. The operational airspace is bounded between 30 m and 180 m AGL, with a geofenced rectangular area and a cylindrical no-fly zone centered at (200, 250) with a 30 m radius. A moving spherical obstacle drifts horizontally near the no-fly zone, requiring dynamic avoidance. The mission follows a corridor search pattern across five waypoints, concluding near a high-risk area at the center of the map. Traffic includes one intruder UAV moving westward at 12 m/s, necessitating separation monitoring with a 25 m minimum distance threshold. GNSS multipath effects may occur in narrow valleys, and tight maneuvering is required to avoid obstacles while maintaining sensor coverage. The hexacopter must complete the mission within 600 seconds, return safely, and avoid breaching altitude limits, geofences, or proximity thresholds.",Fly fastest speed to complete search early,Descend below 30 m AGL to reduce wind resistance,Circle high-risk area repeatedly for confirmation,Reduce LiDAR frequency and optimize route,Hover at each waypoint for full thermal scan,Ascend to 180 m for wider visual coverage,Maintain max sensor output throughout flight,"[""Fly fastest speed to complete search early"", ""Descend below 30 m AGL to reduce wind resistance"", ""Circle high-risk area repeatedly for confirmation"", ""Reduce LiDAR frequency and optimize route"", ""Hover at each waypoint for full thermal scan"", ""Ascend to 180 m for wider visual coverage"", ""Maintain max sensor output throughout flight""]","Reducing LiDAR frequency cuts power use, extending endurance. Route optimization minimizes distance and wind resistance, balancing coverage and energy. This ensures mission completion and return within battery and time limits." 2025-11-01T18:03:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Facade_Inspection_with_Fixed-Wing_UAV_4352057885a3_mcq.json,uavbench-mcq-v1,Mountainous_Facade_Inspection_with_Fixed-Wing_UAV,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,UAV must inspect facades at 120m AGL in mountainous terrain with crosswinds increasing above 150m; a dynamic obstacle crosses the corridor. Which route optimizes safety and timing?,"Fixed-wing UAV conducts facade inspection in mountainous terrain. Mission involves navigating a predefined corridor pattern near elevated structures. Operations occur within a confined airspace bounded by a polygonal geofence. A cylindrical no-fly zone restricts access around a critical area. Strong crosswinds increase with altitude, creating challenging flight conditions. UAV carries RGB and thermal cameras for detailed facade imaging. Wind shear and gusts require careful speed and attitude management. Runway-assisted takeoff and landing are mandatory due to fixed-wing design. Dynamic obstacle moves laterally through the inspection zone. Traffic from another UAV enters the airspace, requiring separation assurance.","Climb to 180m to avoid obstacle, maintain 250m horizontal separation from NFZ","Descend to 90m AGL, fly direct through next waypoint ignoring gusts",Hold position at current altitude until the dynamic obstacle clears the zone,"Deviate laterally within 120±10m AGL band, maintaining geofence and NFZ clearance","Ascend rapidly to 200m for smoother airflow, cutting across northern geofence boundary","Reduce speed by 30%, follow original corridor through obstacle path","Reroute below 80m AGL to minimize wind exposure, bypassing two waypoints","[""Climb to 180m to avoid obstacle, maintain 250m horizontal separation from NFZ"", ""Descend to 90m AGL, fly direct through next waypoint ignoring gusts"", ""Hold position at current altitude until the dynamic obstacle clears the zone"", ""Deviate laterally within 120±10m AGL band, maintaining geofence and NFZ clearance"", ""Ascend rapidly to 200m for smoother airflow, cutting across northern geofence boundary"", ""Reduce speed by 30%, follow original corridor through obstacle path"", ""Reroute below 80m AGL to minimize wind exposure, bypassing two waypoints""]","Maintaining the 120±10m AGL band ensures facade imaging quality and avoids gust-prone altitudes. Lateral deviation preserves separation from the dynamic obstacle and NFZ while staying within geofence limits. Other options violate altitude, clearance, or mission continuity constraints." 2025-11-01T18:03:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Glider_Facade_Inspection_in_Rain_b8afa2351987_mcq.json,uavbench-mcq-v1,Mountainous_Glider_Facade_Inspection_in_Rain,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 150m AGL in rain with 30% battery, GNSS multipath, and gusty winds, how should the UAV prioritize navigation?","This mission involves a glider UAV conducting a facade inspection in mountainous terrain under rainy and poor visibility conditions. The UAV is equipped with an RGB camera, GNSS, and lidar, but operates with reduced sensor reliability due to GNSS multipath and electromagnetic interference. Strong, gusty winds increase flight difficulty, with wind speed rising significantly with altitude and variable direction. The flight is confined to an airspace between 30 and 200 meters AGL, bounded by a polygonal geofence and two no-fly zones—one static and one moving. A dynamic obstacle moves horizontally through the area, requiring real-time avoidance. The glider must follow a corridor pattern inspection route while maintaining separation from another UAV on a collision course. Battery endurance is limited, with 30% reserved for reserve power, and icing conditions occur temporarily, degrading aerodynamic performance. Communication experiences brief downlink outages, and the UAV must contend with signal degradation. Flight controls include flaps and attitude adjustments to manage efficiency and stability. The mission emphasizes energy conservation, obstacle avoidance, and adherence to airspace constraints in a challenging, realistic mountain environment.",Trust GNSS despite drift; correct later,Rely solely on lidar for position,Fuse IMU and visual odometry tightly,Descend immediately to avoid wind,Switch to magnetic heading mode,"Use flaps to stabilize, ignore GNSS",Hover until GNSS signal improves,"[""Trust GNSS despite drift; correct later"", ""Rely solely on lidar for position"", ""Fuse IMU and visual odometry tightly"", ""Descend immediately to avoid wind"", ""Switch to magnetic heading mode"", ""Use flaps to stabilize, ignore GNSS"", ""Hover until GNSS signal improves""]","GNSS suffers multipath and interference, making it unreliable. Lidar is degraded by rain and limited in range. Fusing IMU with visual odometry provides robust, low-drift positioning by leveraging motion consistency and camera data, compensating for GNSS outages and environmental noise while conserving energy." 2025-11-01T18:03:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Package_Delivery_with_Gusts_98b9aa4a04c5_mcq.json,uavbench-mcq-v1,Mountainous_Package_Delivery_with_Gusts,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,Which route safely navigates waypoints while avoiding a moving no-fly zone and maintains 50 m separation with 30% battery reserve?,"This scenario involves a mountainous package delivery mission using a single-rotor helicopter UAV. The flight occurs in a defined mountainous airspace with a rectangular geofenced area and both static and moving no-fly zones. Weather includes a steady 8 m/s wind from 240 degrees with 4.5 m/s gusts, though visibility is good. The UAV carries a 5 kg payload and is equipped with GNSS, IMU, lidar, and RGB camera for navigation and obstacle awareness. The mission requires navigating a five-waypoint corridor while avoiding a static no-fly cylinder and a dynamically moving no-fly zone. A second UAV and a moving spherical obstacle introduce traffic and collision risks. The UAV must maintain separation of at least 50 meters and monitor time-to-closest approach, with GNSS multipath likely near terrain. Battery endurance is critical, with a 30% reserve required and limited by high hover power consumption. Communication includes two brief downlink loss windows, demanding resilient data handling.",Direct path through static NFZ center,"Climb to 180 m AGL, bypass east side","Descend to 110 m AGL, cut between obstacles",Hold hover at WP3 for 90 seconds,"Reroute north, fly at 150 m AGL",Accelerate through gap at 25 m/s groundspeed,Delay departure until moving NFZ passes,"[""Direct path through static NFZ center"", ""Climb to 180 m AGL, bypass east side"", ""Descend to 110 m AGL, cut between obstacles"", ""Hold hover at WP3 for 90 seconds"", ""Reroute north, fly at 150 m AGL"", ""Accelerate through gap at 25 m/s groundspeed"", ""Delay departure until moving NFZ passes""]","Rerouting north at 150 m AGL avoids both static and moving no-fly zones while maintaining terrain clearance and GNSS reliability. It balances detour distance with obstacle separation, preserving battery for reserve. Other options breach NFZs, waste energy in hover, or increase collision risk." 2025-11-01T18:03:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Hail_Recon_Mission_3a3727f407cb_mcq.json,uavbench-mcq-v1,Mountainous_Hail_Recon_Mission,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Which path allows timely waypoint transit within 600 s, avoids 8 m/s wind resistance, and stays between 50–300 m AGL despite GNSS fault?","This is a disaster reconnaissance mission conducted in mountainous terrain using a quadrotor UAV equipped with RGB and thermal cameras, LIDAR, and standard navigation sensors. The UAV operates within a defined airspace corridor between 50 and 300 meters AGL, bounded by a polygonal geofence and multiple no-fly zones, including a static cylinder and a moving exclusion zone. Weather conditions include strong 8 m/s winds from the west, gusts up to 4 m/s, poor visibility, and active hail, increasing flight risk. The UAV faces significant GNSS challenges due to jamming at -85 dBm and a planned GNSS jamming fault lasting 45 seconds, exacerbating multipath risks in the rugged environment. Electromagnetic interference and periodic downlink outages further constrain communication and data transmission. The mission requires the UAV to complete a corridor pattern through four waypoints within 600 seconds while avoiding collisions with static and moving obstacles, including another UAV on a crossing path. Battery endurance is critical, with a 450 Wh battery and 30% reserve required for safe operation in high-wind conditions. Separation monitoring is enforced with a minimum 25-meter threshold and 15-second time-to-collision alerting to ensure safe deconfliction. The UAV must maintain flight stability despite increased drag and energy consumption due to payload and wind, with limited hover efficiency. Mission success depends on navigating complex environmental hazards, maintaining situational awareness, and reaching the preferred landing site under constrained power and communication.",Climb to 310 m AGL for clearer GNSS signal during jamming,Fly direct at 45 m AGL to reduce wind exposure,"Reroute east to avoid moving exclusion zone, adding 90 s",Descend to 25 m AGL inside canyon to evade wind gusts,"Maintain 200 m AGL, adjust heading to compensate drift during 45 s fault",Hover for 45 s until GNSS jamming fault passes,Cut through static cylinder NFZ to save 75 s,"[""Climb to 310 m AGL for clearer GNSS signal during jamming"", ""Fly direct at 45 m AGL to reduce wind exposure"", ""Reroute east to avoid moving exclusion zone, adding 90 s"", ""Descend to 25 m AGL inside canyon to evade wind gusts"", ""Maintain 200 m AGL, adjust heading to compensate drift during 45 s fault"", ""Hover for 45 s until GNSS jamming fault passes"", ""Cut through static cylinder NFZ to save 75 s""]","Maintaining 200 m AGL stays within the safe altitude band and avoids terrain and NFZs. Adaptive heading adjustment counters GNSS drift during the 45-second fault without hovering or deviating dangerously. This balances timing, safety, and sensor constraints while preserving battery under wind loads." 2025-11-01T18:03:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Package_Delivery_with_Lightning_Risk_0aac83754a2e_mcq.json,uavbench-mcq-v1,Mountainous_Package_Delivery_with_Lightning_Risk,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,"Which path avoids both no-fly zones, maintains 50–300 m AGL, and completes within 600 s despite wind and GNSS jamming?","This is a package delivery mission in mountainous terrain using a battery-powered quadrotor UAV equipped with lidar, RGB camera, and standard navigation sensors. The UAV carries a 0.8 kg payload and operates within an altitude range of 50 to 300 meters AGL, navigating through a defined corridor of waypoints. The airspace includes a static no-fly zone over a cylinder near the center and a moving no-fly zone drifting southwest, requiring dynamic avoidance. A second UAV and a moving spherical obstacle add complexity, demanding strict separation and real-time path adjustments. Strong westerly winds at 8 m/s with gusts up to 4 m/s challenge stability and energy consumption. Lightning risk in the environment necessitates cautious mission planning despite good visibility. The UAV must contend with two simulated faults: a GNSS jamming event lasting 30 seconds and a partial motor failure for 15 seconds. Communication includes two brief downlink/uplink loss windows, testing autonomy resilience. The mission must be completed within 600 seconds while maintaining safety margins, battery reserves, and avoiding geofence or NFZ breaches.",Direct route through central cylinder at 40 m AGL,High-altitude arc over moving NFZ at 310 m AGL,Delayed left detour around static NFZ at 280 m AGL,Straight trajectory ignoring drifting NFZ after waypoint 3,Aggressive descent to 20 m AGL between waypoints 2 and 4,"Early right reroute adding 90 m flight distance, 290 m AGL","Hover for 35 s during GNSS fault, resume original path","[""Direct route through central cylinder at 40 m AGL"", ""High-altitude arc over moving NFZ at 310 m AGL"", ""Delayed left detour around static NFZ at 280 m AGL"", ""Straight trajectory ignoring drifting NFZ after waypoint 3"", ""Aggressive descent to 20 m AGL between waypoints 2 and 4"", ""Early right reroute adding 90 m flight distance, 290 m AGL"", ""Hover for 35 s during GNSS fault, resume original path""]","Option F proactively avoids the drifting NFZ with minimal detour, stays within safe altitude and energy limits. It preserves time-to-go margin and compensates for GNSS drift during jamming. Other options breach NFZs, altitudes, or time due to inefficiency or lack of foresight." 2025-11-01T18:03:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Package_Delivery_with_Microburst_Risk_6ce4f91e7d41_mcq.json,uavbench-mcq-v1,Mountainous_Package_Delivery_with_Microburst_Risk,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 180s, with 30% battery, comms lost, and moving NFZ drifting NW at 游戏副本","This is a package delivery mission in mountainous terrain using a hexacopter UAV equipped with lidar, RGB camera, and standard navigation sensors. The flight occurs within a defined corridor airspace bounded between 30 and 180 meters AGL, featuring static and moving no-fly zones. A cylindrical NFZ is fixed near the center, while another dynamic NFZ drifts northwest at 3.35 m/s. The environment includes moderate winds from 240° at 8.5 m/s with gusts up to 4.2 m/s and a risk of microbursts, increasing flight instability hazards. The UAV carries a 1.2 kg payload and must navigate through tight waypoints while managing battery reserves, with 30% set aside for safety. It must avoid a moving spherical obstacle drifting west and maintain separation from another UAV traveling westbound at 12 m/s. GNSS multipath effects may occur due to terrain, and a 30-second communication loss is expected at 180 seconds into the mission. The flight is constrained by a 600-second time budget and must end at the preferred landing site unless an emergency arises. Collision avoidance, NFZ compliance, and battery endurance are critical success factors under these challenging conditions.",Climb to 190 m AGL to clear obstacle,Descend to 25 m AGL and hold position,Divert west avoiding spherical obstacle,Proceed direct through dynamic NFZ,Accelerate to 15 m/s to exit NFZ fast,Descend to 30 m AGL then divert NW,Maintain 150 m AGL and reduce speed,"[""Climb to 190 m AGL to clear obstacle"", ""Descend to 25 m AGL and hold position"", ""Divert west avoiding spherical obstacle"", ""Proceed direct through dynamic NFZ"", ""Accelerate to 15 m/s to exit NFZ fast"", ""Descend to 30 m AGL then divert NW"", ""Maintain 150 m AGL and reduce speed""]","Option G maintains 30–180 m AGL compliance and avoids dynamic NFZ. It preserves battery during comms loss and avoids collision by adjusting speed. Other options breach AGL limits, enter NFZs, or increase risk with reduced situational awareness." 2025-11-01T18:03:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Powerline_Inspection_with_Convertiplane_f4ba9bc718a6_mcq.json,uavbench-mcq-v1,Mountainous_Powerline_Inspection_with_Convertiplane,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"During GNSS outage at 250s, 12 m/s winds, and 50% motor efficiency, what ensures inspection completion with 30% battery reserve and 25m separation?","This is a powerline inspection mission using a convertiplane UAV in mountainous terrain. The flight occurs within a defined 400m × 500m airspace with a cylindrical no-fly zone near the center. Strong winds up to 12 m/s with gusts and shifting direction create challenging flight conditions, compounded by poor visibility due to dust and sandstorm activity. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, supporting detailed visual and thermal inspection. GNSS signals are degraded by multipath effects and intentional jamming at -75 dBm, with a simulated GNSS outage between 240–270 seconds. A second UAV and a moving spherical obstacle pose dynamic collision risks, requiring adherence to a 25-meter separation minimum. The mission requires use of a designated runway for takeoff and landing, with a strict 600-second time budget. The convertiplane must manage transitions between hover and forward flight while operating under battery constraints with a 30% reserve requirement. Two faults are injected: a partial GNSS jamming event and a 50% motor efficiency loss, testing resilience in adverse conditions.",Climb to 120m for stable GNSS recovery and wind clearance,Descend to 40m to reduce wind impact and save power,"Maintain 80m altitude, reduce speed, and use LiDAR for navigation",Hover until GNSS returns at 270s to ensure positioning accuracy,Divert to edge of airspace to avoid obstacle and strong gusts,Increase speed to 18 m/s to finish early and conserve energy,Land immediately to prevent crash under dual fault conditions,"[""Climb to 120m for stable GNSS recovery and wind clearance"", ""Descend to 40m to reduce wind impact and save power"", ""Maintain 80m altitude, reduce speed, and use LiDAR for navigation"", ""Hover until GNSS returns at 270s to ensure positioning accuracy"", ""Divert to edge of airspace to avoid obstacle and strong gusts"", ""Increase speed to 18 m/s to finish early and conserve energy"", ""Land immediately to prevent crash under dual fault conditions""]","Maintaining 80m balances aerodynamic stability, obstacle clearance, and LiDAR effectiveness during GNSS outage. Reducing speed conserves energy under 50% motor efficiency while enabling dynamic separation from the moving obstacle. This approach sustains mission continuity, safety, and battery reserve within time constraints." 2025-11-01T18:03:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Recon_with_Helicopter_in_Strong_Crosswind_1bc2ff7c0a44_mcq.json,uavbench-mcq-v1,Mountainous_Recon_with_Helicopter_in_Strong_Crosswind,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 300 m AGL, 18 m/s crosswind from 260° challenges stability during grid loiter. What adjustment maintains control and efficiency?","This is a mountainous area reconnaissance mission using a battery-powered helicopter UAV equipped with RGB and thermal cameras. The operation takes place in challenging terrain with a designated airspace ranging from 50 to 350 meters AGL and a fixed geofence boundary. Strong crosswinds of 12 m/s from 240° increase with altitude, reaching 18 m/s at 300 meters, and wind direction shifts from 240° to 260° with height. The UAV must navigate around a static no-fly zone centered at (1000, 750) and a moving no-fly zone drifting at 2.5 m/s. GNSS signals are degraded due to multipath effects and moderate jamming at -75 dBm, compounded by electromagnetic interference. The mission involves a grid pattern over a 2 km by 1.5 km area with five waypoints, including a loiter near the center, and must be completed within 600 seconds. A traffic UAV enters from the east, flying westbound at 18 m/s, requiring separation assurance with a 50-meter threshold. A moving spherical obstacle drifts slowly at 130 meters altitude, adding dynamic collision risk. An icing event occurs at 180 seconds, reducing performance by 40% for one minute, while communication dropouts happen briefly at 300 and 450 seconds.",Increase collective pitch to boost lift,Bank into wind to counter lateral drift,Reduce airspeed to minimize gust response,Align fuselage parallel to wind vector,Descend to lower turbulence intensity,Increase rotor RPM to raise Reynolds number,Hold heading with opposing cyclic input,"[""Increase collective pitch to boost lift"", ""Bank into wind to counter lateral drift"", ""Reduce airspeed to minimize gust response"", ""Align fuselage parallel to wind vector"", ""Descend to lower turbulence intensity"", ""Increase rotor RPM to raise Reynolds number"", ""Hold heading with opposing cyclic input""]","Banking into the wind creates a horizontal lift component that counters crosswind drift, balancing lateral forces. This maintains ground track accuracy and aerodynamic efficiency without increasing stall risk. Other options either induce instability, raise drag, or fail to counteract lateral displacement." 2025-11-01T18:03:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Sandstorm_HAPS_Mission_bc495c397f14_mcq.json,uavbench-mcq-v1,Mountainous_Sandstorm_HAPS_Mission,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,G,False,"At 3,500m with 18 m/s winds and GNSS at -90 dBm, which sensor fusion strategy ensures swarm positioning integrity?","High-altitude pseudo-satellite UAV mission in mountainous terrain for area mapping. Operating between 1,000 and 4,000 meters AGL within a defined polygonal airspace. Severe weather includes active sandstorm and poor visibility with strong winds up to 18 m/s. UAV equipped with radar, RGB and thermal cameras for all-weather sensing capability. Mission involves a three-UAV swarm with leader, scout, and relay roles maintaining 100m separation. No-fly zones include a static cylinder near the center and a moving restricted zone. GNSS signals degraded by multipath and moderate jamming at -90 dBm. Electromagnetic interference and periodic uplink loss affect communications reliability. Thermal updrafts present at 3,000m altitude provide potential lift opportunities. Flight constrained by energy limits, wind shear across altitude layers, and dynamic obstacles.",Prioritize GNSS with radar altimeter correction for all UAVs,Switch to IMU-visual-inertial fusion using optical flow from RGB,Rely on thermal camera tracking of ground hotspots for navigation,"Use radar and IMU only, disabling cameras due to sandstorm",Sync swarm via relay's GNSS assuming shared signal environment,Navigate using magnetic heading and barometric pressure steps,Fuse radar terrain matching with inter-UAV relative ranging,"[""Prioritize GNSS with radar altimeter correction for all UAVs"", ""Switch to IMU-visual-inertial fusion using optical flow from RGB"", ""Rely on thermal camera tracking of ground hotspots for navigation"", ""Use radar and IMU only, disabling cameras due to sandstorm"", ""Sync swarm via relay's GNSS assuming shared signal environment"", ""Navigate using magnetic heading and barometric pressure steps"", ""Fuse radar terrain matching with inter-UAV relative ranging""]","Radar penetrates sandstorm and provides terrain consistency, while relative ranging maintains swarm geometry despite GNSS degradation. Fusing radar with inter-UAV links compensates for multipath and jamming. This dual-redundant fusion minimizes drift and preserves formation integrity under environmental stress." 2025-11-01T18:03:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Search_and_Rescue_with_Octocopter_in_Fog_3dde713cda8e_mcq.json,uavbench-mcq-v1,Mountainous_Search_and_Rescue_with_Octocopter_in_Fog,minimax/minimax-m1,9,Comparative System Reasoning,7,?,F,False,"Which UAV configuration best ensures mission success under 12 m/s winds, icing, GNSS jamming, and 600-second endurance with 30% reserve?","This is a search and rescue mission using an octocopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place in mountainous terrain within a defined polygonal airspace bounded between 30 and 250 meters AGL. Weather conditions include strong winds up to 12 m/s increasing with altitude, poor visibility due to fog, and icing conditions that temporarily affect UAV performance. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference further challenges navigation reliability. A static no-fly zone and a moving no-fly zone complicate flight planning, alongside a dynamic traffic UAV and a drifting spherical obstacle. The UAV must complete a spiral search pattern across five waypoints within a 600-second time limit, avoiding collisions and maintaining safe separation. Battery endurance is limited, with a reserve fraction of 30% and degradation from wind and icing, particularly during a 60-second icing event at 240 seconds into the mission. Communication experiences brief uplink/downlink dropouts, requiring robust autonomy during signal loss. The UAV spawns at (120, 120, 60) and aims to return to its preferred landing site unless an emergency arises. Mission success depends on completing the search while adhering to all airspace constraints, energy limits, and safety thresholds.",Octocopter with dual GPS and de-icing rotors,Hexacopter with thermal camera only,Quadcopter with LiDAR and extended battery,Octocopter with single RTK-GNSS and no redundancy,Fixed-wing with RGB camera and long range,Octocopter with visual-inertial navigation and heated sensors,VTOL with radar avoidance and 40% reserve,"[""Octocopter with dual GPS and de-icing rotors"", ""Hexacopter with thermal camera only"", ""Quadcopter with LiDAR and extended battery"", ""Octocopter with single RTK-GNSS and no redundancy"", ""Fixed-wing with RGB camera and long range"", ""Octocopter with visual-inertial navigation and heated sensors"", ""VTOL with radar avoidance and 40% reserve""]","Option F balances redundancy, sensor fusion, and environmental resilience. Thermal and RGB cameras plus LiDAR require robust navigation; visual-inertial systems mitigate GNSS jamming and multipath. Heated sensors counteract icing at 240 seconds, while octocopter lift headroom handles 12 m/s winds, preserving energy for the 600-second mission within 30% reserve." 2025-11-01T18:03:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Ship_Deck_Delivery_with_Glider_in_Icing_Conditions_0f5e3663376c_mcq.json,uavbench-mcq-v1,Mountainous_Ship_Deck_Delivery_with_Glider_in_Icing_Conditions,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"With 120s to icing onset and 300s mission clock, how to handle GNSS loss near moving no-fly zone?","This is a delivery mission using a fixed-wing glider UAV in mountainous terrain. The flight occurs over a defined polygonal airspace with a ship deck serving as the runway and primary landing zone. Icing conditions are present, with a scheduled icing event reducing performance mid-mission. Winds are moderate to strong, increasing with altitude and shifting direction, requiring careful energy management. The glider relies on battery power and aerodynamic efficiency, with no propulsion reserve beyond initial launch. Key sensors include GNSS, IMU, camera, and barometer, but GNSS faces multipath interference and mild jamming. No-fly zones include a static cylinder near the center and a moving cylindrical zone, both requiring avoidance. A second UAV and a drifting spherical obstacle add dynamic collision risks. The mission must be completed within 600 seconds, following a corridor of four waypoints before returning to the runway. Constraints include maintaining separation, avoiding stalls, managing battery reserves, and ensuring communication integrity despite two brief downlink loss periods.",Continue as planned using barometer-only altitude control,Descend immediately to avoid collision in degraded navigation,Abort mission and divert to emergency landing zone inland,Climb to gain energy margin despite stronger headwinds aloft,Transmit mayday and proceed toward ship through no-fly zone,Hold position until GNSS recovers to ensure precise navigation,Eject payload to reduce weight and extend glide range,"[""Continue as planned using barometer-only altitude control"", ""Descend immediately to avoid collision in degraded navigation"", ""Abort mission and divert to emergency landing zone inland"", ""Climb to gain energy margin despite stronger headwinds aloft"", ""Transmit mayday and proceed toward ship through no-fly zone"", ""Hold position until GNSS recovers to ensure precise navigation"", ""Eject payload to reduce weight and extend glide range""]","Descending reduces collision risk with dynamic obstacles during GNSS degradation, prioritizing airspace safety over mission continuity. Continuing or climbing increases collision probability under sensor uncertainty. Aborting inland or holding violates maritime recovery protocols and battery constraints, while entering no-fly zones breaches legal and safety boundaries." 2025-11-01T18:03:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Ship_Deck_Delivery_with_VTOL_Tiltrotor_805e136f4023_mcq.json,uavbench-mcq-v1,Mountainous_Ship_Deck_Delivery_with_VTOL_Tiltrotor,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 400 m AGL, 16.5 m/s headwind, and 1.2 kg payload, how should the tiltrotor adjust thrust vector to maintain lift with increased drag from icing?","This scenario involves a delivery mission using a VTOL tiltrotor UAV in mountainous terrain. The UAV operates within a defined airspace corridor between 50 and 450 meters AGL, with a geofenced rectangular area and both static and moving no-fly zones. Weather conditions include strong winds up to 16.5 m/s increasing with altitude, poor visibility, and icing conditions that trigger a fault event during flight. The UAV is equipped with a battery-powered propulsion system, LiDAR, cameras, and standard navigation sensors, carrying a 1.2 kg payload. Key constraints include GNSS multipath and jamming, electromagnetic interference, and temporary communication loss windows. The mission requires a runway takeoff and landing, with a preferred landing site on a simulated ship deck. The flight path includes multiple waypoints in a corridor pattern, navigating around a dynamic no-fly zone and a moving spherical obstacle. A second UAV travels through the airspace on a fixed path, requiring separation assurance below 50 meters. Icing affects aerodynamics midway through the mission, increasing drag and requiring robust control and energy management to complete the delivery within the 10-minute time budget.",Increase rotor pitch and reduce nacelle tilt angle to boost vertical thrust,Decrease airspeed to reduce drag and conserve battery energy,Bank sharply to redirect lift vector toward new flight path,Retract landing gear to reduce parasitic drag and improve efficiency,Reduce angle of attack to prevent flow separation on iced wings,Shift nacelles to helicopter mode and climb at maximum throttle,Maintain fixed nacelle angle and increase forward airspeed to 35 m/s,"[""Increase rotor pitch and reduce nacelle tilt angle to boost vertical thrust"", ""Decrease airspeed to reduce drag and conserve battery energy"", ""Bank sharply to redirect lift vector toward new flight path"", ""Retract landing gear to reduce parasitic drag and improve efficiency"", ""Reduce angle of attack to prevent flow separation on iced wings"", ""Shift nacelles to helicopter mode and climb at maximum throttle"", ""Maintain fixed nacelle angle and increase forward airspeed to 35 m/s""]","Icing increases drag and reduces lift by degrading wing aerodynamics, requiring greater vertical thrust. Increasing rotor pitch and reducing nacelle tilt angle enhances vertical thrust component to compensate for lost lift. This balances lift, weight, and drag forces while maintaining altitude within energy limits despite higher power demand." 2025-11-01T18:03:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Ship_Deck_Delivery_with_Glider_in_Rain_7fc87fa33ce1_mcq.json,uavbench-mcq-v1,Mountainous_Ship_Deck_Delivery_with_Glider_in_Rain,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"Glider UAV must deliver 1 kg payload in 600s, with icing at 150m, winds increasing above 200m, and degraded GNSS below 50m.","This scenario involves a glider UAV conducting a delivery mission in mountainous terrain near a ship deck. The airspace is constrained by fixed and moving no-fly zones, with a minimum altitude of 30 meters and a maximum of 250 meters AGL. Weather conditions include moderate rain, poor visibility, and icing potential, with strong and increasing winds from the southwest at higher altitudes. The UAV is equipped with a battery-powered propulsion system, carrying a 1 kg payload, and relies on GNSS, IMU, lidar, and RGB camera for navigation. GNSS signals are degraded due to multipath effects and electromagnetic interference, with brief communication outages during the mission. A dynamic no-fly zone and a moving obstacle challenge navigation, while separation from other traffic must be maintained above 25 meters. The glider must follow a corridor pattern through four waypoints and land on a designated runway, requiring precise approach control. An icing event occurs mid-mission, reducing aerodynamic performance for one minute. Battery reserves are critical, with energy management essential to complete the mission within the 600-second time limit. The mission emphasizes safe flight in adverse weather, sensor resilience, and adherence to strict airspace and landing constraints.",Climb to 240m to avoid wind shear and improve GNSS lock,Descend to 40m for shorter path and better camera navigation,Maintain 150m during icing to balance energy and control,Increase speed to 18 m/s to outrun moving no-fly zone,Circle at 180m to wait for GNSS signal recovery,Follow corridor at 220m using lidar for obstacle avoidance,Land immediately on ship deck to prevent ice accumulation,"[""Climb to 240m to avoid wind shear and improve GNSS lock"", ""Descend to 40m for shorter path and better camera navigation"", ""Maintain 150m during icing to balance energy and control"", ""Increase speed to 18 m/s to outrun moving no-fly zone"", ""Circle at 180m to wait for GNSS signal recovery"", ""Follow corridor at 220m using lidar for obstacle avoidance"", ""Land immediately on ship deck to prevent ice accumulation""]","Flying at 220m avoids strong winds near 250m and icing at 150m while staying above 30m minimum. Lidar compensates for degraded GNSS, ensuring navigation accuracy and corridor adherence. This balances energy use, safety separation, and mission completion within 600 seconds." 2025-11-01T18:03:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Swarm_Helicopter_Coordination_with_Gusts_c5e6efadc27b_mcq.json,uavbench-mcq-v1,Mountainous_Swarm_Helicopter_Coordination_with_Gusts,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"With 8.5 m/s winds from 240° and gusts up to 4.2 m/s, which action maintains stability and lift while avoiding a dynamic no-fly zone?","This is a swarm-based inspection mission using battery-powered helicopters in mountainous terrain. The UAVs operate within a defined airspace bounded by a polygonal geofence and must avoid both static and moving no-fly zones. Strong winds of 8.5 m/s from 240° and gusts up to 4.2 m/s create challenging flight conditions. Each helicopter is equipped with GNSS, IMU, lidar, and RGB camera for navigation and data collection. The swarm consists of four UAVs with distinct roles: leader, follower, scout, and relay, maintaining a minimum separation of 15 meters. A dynamic no-fly zone moves through the area, requiring real-time path adaptation. Communication experiences brief downlink/uplink loss windows, potentially affecting control and data flow. The mission must be completed within 600 seconds, navigating around obstacles and adhering to altitude limits between 30 and 300 meters AGL. UAVs must avoid collisions, maintain separation, and successfully reach designated landing zones.",Increase pitch to 18° to climb rapidly above gusts,Reduce airspeed below 12 m/s to minimize drag in turbulence,Bank 45° toward the wind to reduce groundspeed and drift,Descend to 25 m AGL to escape high-wind shear layer,Yaw right to align with 240° wind for reduced sideslip,Maintain 15 m separation with 14 m/s airspeed and slight crab,Accelerate to 20 m/s to reduce gust-induced angle of attack fluctuations,"[""Increase pitch to 18° to climb rapidly above gusts"", ""Reduce airspeed below 12 m/s to minimize drag in turbulence"", ""Bank 45° toward the wind to reduce groundspeed and drift"", ""Descend to 25 m AGL to escape high-wind shear layer"", ""Yaw right to align with 240° wind for reduced sideslip"", ""Maintain 15 m separation with 14 m/s airspeed and slight crab"", ""Accelerate to 20 m/s to reduce gust-induced angle of attack fluctuations""]","Maintaining 14 m/s with a crab angle balances lift and drag while compensating for 240° wind, ensuring control within density altitude limits. It preserves separation and avoids stall risk from excessive pitch or low speed. Other options either exceed critical angle of attack, reduce lift, or increase gust sensitivity." 2025-11-01T18:03:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Solar_Wing_Recon_Mission_2a48b678b999_mcq.json,uavbench-mcq-v1,Mountainous_Solar_Wing_Recon_Mission,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 1100 m altitude, winds increase to 12 m/s from 250° with gusts. What adjustment optimizes lift and control during a 180° turn?","This is a search and rescue mission conducted in mountainous terrain using a solar-powered fixed-wing UAV equipped with RGB and thermal cameras. The UAV operates within a defined airspace bounded by a polygon geofence, with a no-fly zone centered at (1000, 1500) extending up to 800 meters altitude. Weather conditions include strong winds of 8 m/s from 240 degrees, increasing to 12 m/s at higher altitudes with directional shear, along with gusts up to 4.5 m/s. The UAV must navigate using GNSS, which is subject to multipath errors and moderate jamming at -75 dBm, along with electromagnetic interference. A thermal updraft is present near (1200, 1800), which the solar wing UAV may exploit for lift. The mission involves flying a corridor pattern through five waypoints while maintaining visual and thermal surveillance. Air traffic includes one other UAV moving diagonally through the airspace, requiring separation of at least 50 meters. Communications experience brief downlink outages between 120–130 and 450–460 seconds, potentially affecting data transmission. The UAV must return to a preferred landing site at (100, 100, 50) and requires a runway approach aligned with heading 90 degrees.",Increase airspeed by 3 m/s to counteract gust loads,Reduce angle of attack to decrease induced drag,Bank sharply beyond 45° to minimize crosswind exposure,Pitch up abruptly to maximize thermal lift capture,Deploy full flaps to enhance low-speed stability,Maintain current airspeed and reduce throttle gradually,Align turn entry with wind vector to reduce shear impact,"[""Increase airspeed by 3 m/s to counteract gust loads"", ""Reduce angle of attack to decrease induced drag"", ""Bank sharply beyond 45° to minimize crosswind exposure"", ""Pitch up abruptly to maximize thermal lift capture"", ""Deploy full flaps to enhance low-speed stability"", ""Maintain current airspeed and reduce throttle gradually"", ""Align turn entry with wind vector to reduce shear impact""]","Aligning the turn with the wind vector reduces relative airspeed fluctuations from directional shear, maintaining consistent Reynolds number and boundary layer attachment. This minimizes load factor spikes and preserves lift-to-drag ratio. Other options either exceed structural limits or risk flow separation under gust loading." 2025-11-01T18:03:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Thermal_Soaring_for_HAPS_UAV_1aec16414007_mcq.json,uavbench-mcq-v1,Mountainous_Thermal_Soaring_for_HAPS_UAV,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"At 3,800 m AGL in rain and icing, with 12 minutes remaining, what should the leader UAV do?","This mission involves a high-altitude pseudo-satellite (HAPS) UAV conducting a survey in mountainous terrain. The flight occurs between 1,000 and 4,000 meters AGL within a defined polygonal geofence. Weather conditions include moderate wind, gusts, rain, and icing, with poor visibility and varying wind profiles across altitudes. The UAV is battery-powered, equipped with radar, RGB and thermal cameras, and relies on GNSS/IMU navigation despite multipath errors and electromagnetic interference. Thermal updrafts are present and can be used for energy-efficient soaring. The airspace contains a static no-fly zone and a moving restricted zone, both requiring avoidance. A second UAV and a moving spherical obstacle introduce dynamic collision risks. The mission involves a three-UAV swarm maintaining minimum 100-meter separation, with roles including leader, follower, and relay. An icing fault occurs mid-mission, reducing performance for two minutes. Communication experiences brief outages, and the UAV must complete its corridor survey within 15 minutes while managing battery reserves and avoiding stalls or altitude violations.","Descend to 1,200 m AGL to avoid icing and extend battery",Maintain altitude and continue survey through the restricted zone,"Climb to 4,100 m AGL for better GNSS signal and wind","Divert immediately to nearest runway, abandoning survey",Reduce speed to minimize gust impact and thermal stress,"Initiate descent to 2,000 m AGL, then detour around NFZ","Request swarm reformation at 3,500 m AGL using thermal updrafts","[""Descend to 1,200 m AGL to avoid icing and extend battery"", ""Maintain altitude and continue survey through the restricted zone"", ""Climb to 4,100 m AGL for better GNSS signal and wind"", ""Divert immediately to nearest runway, abandoning survey"", ""Reduce speed to minimize gust impact and thermal stress"", ""Initiate descent to 2,000 m AGL, then detour around NFZ"", ""Request swarm reformation at 3,500 m AGL using thermal updrafts""]","Descending to 2,000 m AGL reduces icing and energy use while staying within the 1,000–4,000 m AGL operational band. Detouring around the NFZ maintains compliance and avoids dynamic obstacles. This balances safety, mission completion, and swarm separation with thermal efficiency." 2025-11-01T18:03:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Mountainous_Powerline_Inspection_with_Helicopter_UAV_bb50f4476fe5_mcq.json,uavbench-mcq-v1,Mountainous_Powerline_Inspection_with_Helicopter_UAV,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"At 420s, icing increases power draw; winds reach 15.5 m/s with GNSS at -85 dBm. What is optimal?","This is a powerline inspection mission using a battery-powered helicopter UAV in mountainous terrain. The operation takes place within a defined polygonal airspace with an altitude range from 100 to 1200 meters AGL. Weather conditions include strong winds up to 15.5 m/s, gusts, snowfall, and icing risks, with wind increasing in speed and shifting direction at higher altitudes. The UAV carries a dual payload with RGB and thermal cameras, along with LiDAR, IMU, GNSS, and other standard sensors. Key constraints include a static no-fly zone near the center of the area and a moving no-fly zone drifting northwest, requiring real-time avoidance. GNSS signals are degraded due to multipath effects, jamming at -85 dBm, and electromagnetic interference. A second UAV and a moving spherical obstacle create dynamic traffic challenges, with a minimum separation threshold of 50 meters. The UAV must manage battery reserves carefully, especially during a simulated icing event at 420 seconds that increases power draw for 90 seconds. Communication experiences brief dropouts, and safe landing sites are available at opposite ends of the operational zone.",Switch to full GNSS navigation for precision,Rely solely on IMU during communication dropouts,Descend immediately to conserve battery under icing,Use LiDAR-visual fusion with IMU drift correction,Climb above 1200 m to avoid moving obstacle,Hover using RGB optical flow in snowfall,Fly northwest toward drifting no-fly zone for shortcut,"[""Switch to full GNSS navigation for precision"", ""Rely solely on IMU during communication dropouts"", ""Descend immediately to conserve battery under icing"", ""Use LiDAR-visual fusion with IMU drift correction"", ""Climb above 1200 m to avoid moving obstacle"", ""Hover using RGB optical flow in snowfall"", ""Fly northwest toward drifting no-fly zone for shortcut""]","GNSS is degraded by multipath and jamming (-85 dBm), making it unreliable. During icing and wind gusts, LiDAR-visual fusion with IMU compensates for GNSS loss and maintains positional integrity. This fusion strategy reduces drift and ensures obstacle awareness despite environmental noise and sensor limitations." 2025-11-01T18:03:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Glider_Thermal_Survey_b96eb0e66e3c_mcq.json,uavbench-mcq-v1,Night_Glider_Thermal_Survey,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,G,False,"Night UAV survey at 30–300 m AGL, 10-min limit, GNSS degraded, 240° wind, must avoid cylindrical no-fly zone and moving obstacles.","This is a night-time glider UAV survey mission in dense urban airspace. The UAV is a battery-powered fixed-wing glider equipped with RGB and thermal cameras. It operates within a 30–300 m AGL altitude range and must avoid a cylindrical no-fly zone near the center of the area. The environment features poor visibility, moderate wind from 240°, gusts, and thermal updrafts at specific locations. GNSS signals are degraded due to multipath and electromagnetic interference, complicating navigation. The mission follows a corridor survey pattern with five waypoints and requires runway-aligned takeoff and landing. A traffic UAV and a moving spherical obstacle add dynamic collision risks. The UAV must maintain separation of at least 25 m and manage energy carefully under reserve constraints. The flight is time-constrained to 10 minutes with limited battery endurance.",Prioritize GNSS for position despite multipath errors,Rely solely on IMU during wind gusts without visual correction,Fuse thermal gradients with visual odometry to track updrafts,Use only RGB camera in poor visibility for navigation,Align flight path to runway using magnetic heading only,Switch to barometer-hold mode near no-fly zone center,"Combine visual-IMU with thermal motion cues, limit GNSS reliance","[""Prioritize GNSS for position despite multipath errors"", ""Rely solely on IMU during wind gusts without visual correction"", ""Fuse thermal gradients with visual odometry to track updrafts"", ""Use only RGB camera in poor visibility for navigation"", ""Align flight path to runway using magnetic heading only"", ""Switch to barometer-hold mode near no-fly zone center"", ""Combine visual-IMU with thermal motion cues, limit GNSS reliance""]",GNSS is degraded by multipath; visual-IMU fusion provides resilient localization. Thermal and visual cues enhance dynamic obstacle awareness. This maximizes perception integrity and energy-efficient path fidelity under wind and visibility constraints. 2025-11-01T18:03:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Glider_Inspection_along_Powerline_Corridor_8085d24dbb4c_mcq.json,uavbench-mcq-v1,Night_Glider_Inspection_along_Powerline_Corridor,minimax/minimax-m1,9,Comparative System Reasoning,7,?,E,False,"Which UAV configuration best ensures navigation reliability, obstacle avoidance, and inspection completion under 6.5–9.5 m/s winds, mild jamming, and 600-second limit?","This is a night-time inspection mission using a fixed-wing glider UAV along a powerline corridor. The UAV is equipped with RGB and thermal cameras for visual inspection and operates within a defined polygonal airspace between 30 and 150 meters AGL. Winds are moderate at 6.5 m/s from 240° at ground level, increasing to 9.5 m/s at 200 m altitude with variable direction, and thermal updrafts are present at two locations to assist glider lift. Visibility is poor, and the environment includes GNSS multipath effects, mild jamming at -75 dBm, and electromagnetic interference affecting navigation. A static no-fly zone and a moving no-fly cylinder create dynamic constraints, requiring real-time avoidance. The UAV must follow a predefined inspection route with altitude and position constraints while maintaining separation from a moving obstacle and another UAV on a crossing path. Communication includes brief downlink loss windows, and the flight must complete within a 600-second time budget. Battery endurance is critical, with a reserve fraction of 30% and energy use influenced by drag and maneuvering. The mission emphasizes navigation reliability, obstacle avoidance, and successful inspection completion under challenging environmental and operational conditions.",Monocular vision only; no thermal redundancy,Dual GNSS with RTK; high jamming vulnerability,"LiDAR-only navigation; high power, poor in fog",IMU + barometer only; no GNSS or vision,RGB/thermal fusion; GNSS-aided EKF; LIDAR avoidance,Open-loop control; minimal sensor use,Pure GPS waypoint tracking; no obstacle sensing,"[""Monocular vision only; no thermal redundancy"", ""Dual GNSS with RTK; high jamming vulnerability"", ""LiDAR-only navigation; high power, poor in fog"", ""IMU + barometer only; no GNSS or vision"", ""RGB/thermal fusion; GNSS-aided EKF; LIDAR avoidance"", ""Open-loop control; minimal sensor use"", ""Pure GPS waypoint tracking; no obstacle sensing""]","E combines sensor fusion for navigation in GNSS-challenged environments, uses thermal updrafts efficiently, and enables real-time obstacle detection. It balances energy use, reliability, and safety under dynamic constraints. Other options fail in redundancy, environmental adaptability, or obstacle response." 2025-11-01T18:03:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Moving_NFZ_in_Jungle_with_Icing_Conditions_d11713493ce5_mcq.json,uavbench-mcq-v1,Moving_NFZ_in_Jungle_with_Icing_Conditions,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 200s, icing reduces efficiency by 40% while a second UAV approaches from the southeast at 12.0 m/s. How should the hexacopter adjust?","Hexacopter UAV conducts a corridor survey mission in a dense jungle environment. Flight occurs within a confined 200m x 200m airspace with a minimum altitude of 10m AGL and maximum of 120m AGL. Weather includes poor visibility, 6.5 m/s winds from 240°, gusts up to 4.0 m/s, and hazardous icing conditions. The UAV is equipped with a camera payload and relies on GNSS, IMU, magnetometer, and barometer for navigation. A static no-fly zone is present at the center, with an additional moving cylindrical NFZ drifting at 2.5 m/s. A spherical moving obstacle traverses the area, requiring real-time collision avoidance. Another UAV enters the airspace from the southeast at 12.0 m/s, posing a traffic conflict risk. Icing affects UAV performance between 200s and 260s, reducing efficiency by 40%. A 10-second communication downlink outage occurs at 400s, challenging command reliability. Mission must complete within 600 seconds while maintaining separation, avoiding NFZs, and managing battery reserves.",Descend to 10m AGL immediately to reduce wind resistance,Increase speed to 15 m/s to finish survey before icing ends,Climb to 120m AGL to avoid moving cylindrical NFZ drift,Maintain current altitude and reduce speed by 20%,Broadcast intent to hold position and request coordination,Turn northwest to evade the approaching UAV at closest point,Enter static NFZ center to wait out icing conditions safely,"[""Descend to 10m AGL immediately to reduce wind resistance"", ""Increase speed to 15 m/s to finish survey before icing ends"", ""Climb to 120m AGL to avoid moving cylindrical NFZ drift"", ""Maintain current altitude and reduce speed by 20%"", ""Broadcast intent to hold position and request coordination"", ""Turn northwest to evade the approaching UAV at closest point"", ""Enter static NFZ center to wait out icing conditions safely""]","Broadcasting intent maintains situational awareness between UAVs during reduced performance. It enables decentralized conflict resolution under communication constraints. This preserves separation, respects NFZ boundaries, and aligns with team coordination before the 10-second downlink outage at 400s." 2025-11-01T18:03:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Glider_Training_in_Desert_with_Icing_Conditions_007babf6cf86_mcq.json,uavbench-mcq-v1,Night_Glider_Training_in_Desert_with_Icing_Conditions,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"At 200s, icing reduces lift while GNSS drifts at -85 dBm; winds reach 14 m/s at 300 m. Which action maintains safety and mission progress?","Night glider training mission conducted in a desert environment with poor visibility and icing conditions. The UAV is a battery-powered glider equipped with RGB and thermal cameras, operating within a defined airspace from 50 to 600 meters AGL. Winds increase with altitude, reaching 14 m/s at 300 m, and thermal updrafts are present at two locations. GNSS signals experience multipath interference and moderate jamming at -85 dBm, with additional electromagnetic interference. A static no-fly zone and a moving no-fly cylinder are active, requiring dynamic path planning to maintain separation. The mission involves a corridor survey with five waypoints and a time budget of 600 seconds. An icing event occurs at 200 seconds, reducing aerodynamic performance for one minute. A single traffic UAV enters from the southeast at constant speed, and a moving spherical obstacle drifts slowly through the area. Communication suffers two brief downlink loss windows, and the UAV must maintain link quality above -92 dBm. Constraints include avoiding geofence and NFZ breaches, maintaining safe separation, and preventing stalls in degraded conditions.",Rely solely on GNSS for navigation due to stable altitude,"Switch to IMU-thermal optical flow fusion, reduce airspeed",Climb to 600 m for stronger GNSS signal and smoother winds,Descend to 50 m to avoid wind shear and icing layers,Use RGB camera to track waypoints through fog,Maintain heading using magnetometer despite EMI,Accelerate to exit icing zone using battery reserve,"[""Rely solely on GNSS for navigation due to stable altitude"", ""Switch to IMU-thermal optical flow fusion, reduce airspeed"", ""Climb to 600 m for stronger GNSS signal and smoother winds"", ""Descend to 50 m to avoid wind shear and icing layers"", ""Use RGB camera to track waypoints through fog"", ""Maintain heading using magnetometer despite EMI"", ""Accelerate to exit icing zone using battery reserve""]","GNSS is degraded by multipath and jamming, making it unreliable. IMU fused with thermal optical flow provides robust relative navigation in low visibility and avoids magnetic interference. This maintains situational awareness, counters wind and icing effects, and ensures safe, adaptive flight within the corridor." 2025-11-01T18:03:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Glider_Training_in_Underground_Mine_with_Microburst_Risk_b0a406e86e6f_mcq.json,uavbench-mcq-v1,Night_Glider_Training_in_Underground_Mine_with_Microburst_Risk,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"During a 30-second GNSS jamming event at 35m AGL with 4.5 m/s wind gusts, what action prioritizes safety and mission integrity?","This is a night glider training mission for underground mine inspection using a fixed-wing glider UAV equipped with RGB and thermal cameras, LiDAR, and full sensor suite. The operation takes place entirely within a confined underground mine environment with limited visibility and no natural GNSS signal. Weather includes strong winds from the west, gusts up to 4.5 m/s, and a risk of sudden microbursts that can disrupt flight stability. The UAV relies on battery power with a 450 Wh capacity and must manage energy carefully due to limited reserve and no runway for takeoff or landing. Key constraints include permanent and moving no-fly zones, a dynamic obstacle shifting through the airspace, and interference from GNSS multipath, jamming at -75 dBm, and electromagnetic noise. Flight altitude is restricted between 2 and 40 meters AGL within a defined polygonal geofence, requiring precise navigation. A second UAV operates in the same space, demanding strict separation with a 10-meter minimum threshold and 5-second time-to-closest approach monitoring. Communication is challenged by intermittent uplink loss and two scheduled downlink blackout windows affecting command reliability. The mission involves following a corridor pattern through five waypoints to inspect tunnel sections, ending with a landing at a designated site. System faults include a 30-second GNSS jamming event and a 20-second IMU bias fault, testing the vehicle’s resilience and navigation redundancy.",Continue to next waypoint using LiDAR and IMU fusion,Climb to 50m AGL to escape jamming and improve comms,Descend immediately to 1m AGL to avoid moving obstacles,Eject battery to reduce weight and extend glide range,Transmit emergency signal and hold position using vision,Exit geofence to regain GNSS signal and stabilize,Land in tunnel section with closest waypoint proximity,"[""Continue to next waypoint using LiDAR and IMU fusion"", ""Climb to 50m AGL to escape jamming and improve comms"", ""Descend immediately to 1m AGL to avoid moving obstacles"", ""Eject battery to reduce weight and extend glide range"", ""Transmit emergency signal and hold position using vision"", ""Exit geofence to regain GNSS signal and stabilize"", ""Land in tunnel section with closest waypoint proximity""]","Continuing with sensor fusion maintains navigation within the safe altitude band and respects the geofence. Other options violate altitude limits, egress boundaries, or increase collision risk during degraded comms. A ensures system resilience without compromising safety or operational constraints." 2025-11-01T18:03:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Glider_Training_in_Forest_During_Rain_c3ed5d2696e6_mcq.json,uavbench-mcq-v1,Night_Glider_Training_in_Forest_During_Rain,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"During icing at 45m AGL with 10.5 m/s winds, GNSS degraded, and dynamic no-fly zone approaching, what action prioritizes safety?","This is a night-time glider UAV training mission conducted in a forested area under rainy and poor visibility conditions with icing risk. The UAV is a battery-powered glider equipped with a payload including RGB and thermal cameras, lidar, and standard navigation sensors. It operates within a defined airspace from 10 to 120 meters AGL, bounded by a polygonal geofence and containing a static no-fly zone near the center. A second dynamic no-fly zone moves through the area, requiring real-time avoidance. The mission involves a grid-based survey with five waypoints, requiring runway-assisted takeoff and landing, despite limited suitable landing zones. Strong winds up to 10.5 m/s increase with altitude and shift direction, challenging flight stability and energy management. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference and periodic comms loss add operational risk. A simulated icing event occurs mid-mission, reducing aerodynamic performance for one minute. Traffic includes a single opposing UAV, and a moving spherical obstacle crosses the flight path, requiring dynamic collision avoidance. Minimum separation is set at 25 meters with a time-to-contact threshold of 15 seconds for detect-and-avoid compliance.",Continue survey; trust de-icing system to activate,Climb to 120m for better GNSS and wind stability,Divert to nearest safe landing zone outside geofence,Descend below 10m to reduce wind and icing effects,Hover at current position until comms stabilize,Proceed to next waypoint to maintain mission timeline,Eject payload to reduce weight and improve control,"[""Continue survey; trust de-icing system to activate"", ""Climb to 120m for better GNSS and wind stability"", ""Divert to nearest safe landing zone outside geofence"", ""Descend below 10m to reduce wind and icing effects"", ""Hover at current position until comms stabilize"", ""Proceed to next waypoint to maintain mission timeline"", ""Eject payload to reduce weight and improve control""]","Diverting to a safe landing zone prioritizes human safety and aircraft recovery despite mission loss. Continuing risks loss of control due to combined icing, wind, and sensor degradation. Other options violate altitude limits, increase collision risk, or endanger populated areas." 2025-11-01T18:03:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Helicopter_Training_in_Suburban_Area_with_Hot_Weather_61a7300e2a90_mcq.json,uavbench-mcq-v1,Night_Helicopter_Training_in_Suburban_Area_with_Hot_Weather,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During GNSS outages at night, with 15s conflict alerts and 25m separation, how should the UAV maintain secure, stable navigation?","This is a night-time helicopter UAV training mission in a suburban environment. The mission type is inspection, following a corridor pattern through designated waypoints. The airspace includes a static no-fly zone and a moving restricted zone that shifts during flight. The UAV is a fuel-powered helicopter equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates under hot weather conditions with moderate wind from 210 degrees and occasional gusts. GNSS multipath and electromagnetic interference are present, challenging navigation accuracy. The flight must maintain separation of at least 25 meters from other traffic, with a traffic conflict alert threshold of 15 seconds. A secondary UAV and a moving spherical obstacle add complexity to path planning. Communication experiences brief downlink and uplink outages at specific times. The mission emphasizes adherence to altitude limits, geofence boundaries, and safe battery reserves despite high hover power consumption.",Rely solely on encrypted GNSS for position updates,Switch to LiDAR-aided inertial navigation with integrity checks,Use unencrypted telemetry to request ground station GPS fixes,Hover in place using thermal camera for obstacle detection,Disable geofence monitoring to reduce processor load,Transmit unauthenticated control commands to save bandwidth,Follow the moving obstacle's path to conserve fuel,"[""Rely solely on encrypted GNSS for position updates"", ""Switch to LiDAR-aided inertial navigation with integrity checks"", ""Use unencrypted telemetry to request ground station GPS fixes"", ""Hover in place using thermal camera for obstacle detection"", ""Disable geofence monitoring to reduce processor load"", ""Transmit unauthenticated control commands to save bandwidth"", ""Follow the moving obstacle's path to conserve fuel""]","B ensures integrity and availability by fusing LiDAR with inertial data, bypassing GNSS spoofing risks. It maintains control stability during outages while preserving separation and geofence compliance. Other options expose the UAV to spoofing, denial, or uncontrolled states." 2025-11-01T18:03:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Heavy_Lift_Ops_Offshore_in_Snow_fe3d85b99e57_mcq.json,uavbench-mcq-v1,Night_Heavy_Lift_Ops_Offshore_in_Snow,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"UAV must fly 10–120 m AGL, avoid no-fly cylinder, and maintain 25 m separation with wind, snow, and 1-min icing at 5 kg payload.","Nighttime heavy lift UAV operations are conducted offshore near an oil platform. The mission involves an inspection flight along a corridor of waypoints within a defined airspace zone. The UAV is an eight-rotor heavy-lift model carrying a 5 kg payload, equipped with thermal and RGB cameras, LiDAR, and full navigation sensors. Weather conditions include moderate winds from the west, snowfall, poor visibility, and potential icing on surfaces. The UAV must avoid a cylindrical no-fly zone centered in the operational area and adhere to altitude limits between 10 and 120 meters AGL. A second UAV is present in the airspace, flying across the zone, requiring separation maintenance of at least 25 meters. GNSS multipath effects and intermittent comms loss are possible, especially during critical phases. An icing fault is simulated midway through the mission, reducing performance for one minute. The UAV must complete its route within 10 minutes, return safely, and land at the designated site despite environmental and operational challenges.",Climb to 120 m for better GNSS and comms stability,Descend below 10 m to reduce wind and icing effects,Maintain 60 m altitude and reduce speed during icing,Fly direct at max speed to minimize exposure time,Increase altitude to 110 m to avoid the second UAV,Hover for 1 min during icing to ensure flight stability,Follow waypoints at 30 m using LiDAR during low visibility,"[""Climb to 120 m for better GNSS and comms stability"", ""Descend below 10 m to reduce wind and icing effects"", ""Maintain 60 m altitude and reduce speed during icing"", ""Fly direct at max speed to minimize exposure time"", ""Increase altitude to 110 m to avoid the second UAV"", ""Hover for 1 min during icing to ensure flight stability"", ""Follow waypoints at 30 m using LiDAR during low visibility""]","Maintaining 60 m AGL ensures compliance with altitude limits while providing buffer for turbulence and sensor accuracy. Reducing speed during icing conserves thrust margin and energy, ensuring control stability and separation. This balances aerodynamic safety, navigation reliability, and mission timing under degraded performance." 2025-11-01T18:03:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Operations_Training_at_Bridge_Site_cffdd6e7f9de_mcq.json,uavbench-mcq-v1,Night_Operations_Training_at_Bridge_Site,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"During night inspection at a bridge, icing reduces UAV performance for 1 minute; winds increase with altitude. How to manage battery and fault?","Night operations training mission at a bridge site with poor visibility and icing conditions. Mission type is inspection, following a corridor pattern with multiple waypoints. Operating in a confined airspace with a static no-fly zone and a moving dynamic no-fly cylinder. UAV is a dual-rotor helicopter with RGB and thermal cameras, plus LIDAR payload. Weather includes strong winds increasing with altitude, wind shear, and thermal updrafts. GNSS signals suffer from multipath effects and moderate jamming, impacting navigation. Electromagnetic interference and periodic comms loss add to sensor and control challenges. A traffic UAV crosses the area at 70m altitude, requiring separation of at least 25 meters. An icing fault event occurs mid-mission, reducing performance for one minute. Battery endurance is critical due to high wind and reserve fraction constraints.",Climb to 80m for clearer GNSS and less wind shear,Activate full LIDAR and thermal while ascending rapidly,"Descend to 40m, reduce sensor power, and slow speed",Maintain current altitude and add rotor RPM to compensate,Hover in place with all payloads active until fault clears,Increase speed to exit dynamic no-fly zone quickly,Switch to autonomous mode and double communication rate,"[""Climb to 80m for clearer GNSS and less wind shear"", ""Activate full LIDAR and thermal while ascending rapidly"", ""Descend to 40m, reduce sensor power, and slow speed"", ""Maintain current altitude and add rotor RPM to compensate"", ""Hover in place with all payloads active until fault clears"", ""Increase speed to exit dynamic no-fly zone quickly"", ""Switch to autonomous mode and double communication rate""]",Descending reduces wind-induced power draw and improves GNSS multipath conditions near terrain. Reducing sensor power conserves battery during a critical endurance phase. This balances mission continuity with energy constraints during icing fault. 2025-11-01T18:03:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Operations_Training_at_Industrial_Plant_ddfc5c85ecb3_mcq.json,uavbench-mcq-v1,Night_Operations_Training_at_Industrial_Plant,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 115s, intruder UAV enters from south at 12 m/s; swarm at 80m AGL. Wind 6 m/s SW. Next action?","Night operations training mission at an industrial plant using a quadcopter swarm of four UAVs equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The mission involves inspecting infrastructure along a predefined corridor pattern within a 400m x 300m geofenced area. Flight altitude ranges from 5m to 120m AGL, with a static no-fly zone near a critical facility and a moving no-fly zone simulating dynamic hazards. A single intruder UAV enters the airspace from the south, flying westbound at 12 m/s, requiring separation management. Wind is from the southwest at 6 m/s with gusts up to 3.5 m/s, under clear night conditions with good visibility. Swarm coordination requires minimum 10m inter-UAV separation, with roles assigned for leader, follower, relay, and scout. Communication experiences brief downlink outages between 120–135s and 400–410s, testing autonomy resilience. GNSS multipath effects are possible due to proximity to industrial structures, impacting positioning accuracy. Battery endurance is critical, with a 30% reserve required and a total energy budget of 450 Wh. The mission must be completed within 600 seconds, with designated landing and emergency landing zones.",Descend all UAVs to 40m AGL to reduce wind impact,Divert scout to 150m AGL for better intruder tracking,Rotate leader to relay role to balance battery load,Command swarm to hold position for 20 seconds,Initiate emergency landing due to GNSS multipath,Ascend swarm to 120m AGL to avoid intruder path,"Adjust formation eastward, maintaining 80m and 10m separation","[""Descend all UAVs to 40m AGL to reduce wind impact"", ""Divert scout to 150m AGL for better intruder tracking"", ""Rotate leader to relay role to balance battery load"", ""Command swarm to hold position for 20 seconds"", ""Initiate emergency landing due to GNSS multipath"", ""Ascend swarm to 120m AGL to avoid intruder path"", ""Adjust formation eastward, maintaining 80m and 10m separation""]","Maintaining 80m AGL avoids the upper altitude limit and minimizes energy use while lateral adjustment preserves 10m separation and avoids the intruder. Ascending or descending increases risk from energy use, wind, or NFZs. Holding or landing wastes time and violates mission completion within 600s." 2025-11-01T18:03:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Operations_Training_in_Powerline_Corridor_with_Hail_41f750611b34_mcq.json,uavbench-mcq-v1,Night_Operations_Training_in_Powerline_Corridor_with_Hail,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 200 seconds, sudden icing occurs with GNSS degradation and 8 m/s winds. Which action maintains swarm integrity and inspection continuity?","Night inspection mission in a powerline corridor with active hail and poor visibility. Operating altitude between 5 and 60 meters AGL within a defined polygon geofence. UAV swarm of five 1.8 kg octocopters, each equipped with RGB and thermal cameras, LiDAR, and full navigation suite. Payload includes inspection sensors with moderate drag, impacting flight efficiency. Mission faces strong 8 m/s winds from the west with gusts up to 4 m/s and sudden icing conditions at 200 seconds. No-fly zones include a static cylinder near the center and a moving exclusion zone drifting left. Additional dynamic obstacles include a drifting spherical object and a non-cooperative UAV flying westward. Swarm must maintain minimum 8-meter inter-UAV separation and avoid breaching 10-meter DAA thresholds. GNSS performance may degrade due to multipath near powerline structures and brief comms outages. Battery reserve is set to 30%, with limited time budget requiring efficient routing to complete inspection.",Switch to encrypted INS/GPS with LiDAR-aided localization,Increase telemetry broadcast rate to monitor neighbors,Disable thermal sensors to save power and reduce drag,Rely solely on GNSS with open-loop command repeats,Descend to 3 meters AGL to avoid wind and hail,Use unauthenticated peer-to-peer links for swarm sync,Halt all motion until comms and GNSS stabilize,"[""Switch to encrypted INS/GPS with LiDAR-aided localization"", ""Increase telemetry broadcast rate to monitor neighbors"", ""Disable thermal sensors to save power and reduce drag"", ""Rely solely on GNSS with open-loop command repeats"", ""Descend to 3 meters AGL to avoid wind and hail"", ""Use unauthenticated peer-to-peer links for swarm sync"", ""Halt all motion until comms and GNSS stabilize""]","Switching to encrypted INS/GPS with LiDAR fusion ensures control stability and resists spoofing during GNSS degradation. It preserves data integrity and enables continued navigation despite icing and multipath. This maintains separation, avoids obstacles, and sustains mission safety under cyber-physical stress." 2025-11-01T18:03:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Operations_Training_in_Volcanic_Zone_with_Icing_02abd1e7aed3_mcq.json,uavbench-mcq-v1,Night_Operations_Training_in_Volcanic_Zone_with_Icing,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 200s, icing reduces performance; GNSS jamming at -75 dBm and comms dropouts occur. How should the UAV respond?","High-altitude pseudo-satellite UAV conducts night survey mission in a volcanic zone with thermal plumes and icing conditions. Operating between 2000 and 7000 meters AGL, the UAV navigates a defined polygonal airspace with strong, increasing winds up to 16 m/s. The environment features poor visibility, active thermal updrafts, GNSS multipath, jamming at -75 dBm, and electromagnetic interference. Equipped with radar, RGB and thermal cameras, the UAV performs a grid survey with a total time budget of 10 minutes. A static no-fly zone and a moving cylindrical no-fly zone challenge navigation near the center of the airspace. The UAV spawns at 4000 m altitude and must avoid collisions with a traffic UAV and a drifting spherical obstacle. An icing fault event occurs at 200 seconds, reducing performance for one minute, while communication dropouts affect uplink/downlink. Battery capacity is limited to 12 kWh, with significant hover power draw, requiring efficient path planning. Separation assurance is enforced with a 150-meter minimum distance and 30-second time-to-collision threshold. Mission success depends on completing the survey without geofence breaches, stalls, or loss of separation.",Switch to encrypted LOS comms and inertial-aided navigation,Increase GNSS update frequency to counter jamming,Upload new survey path via unencrypted telemetry link,Rely solely on GPS with carrier-phase enhancement,Disable intrusion detection to reduce processing latency,Hover in place using thermal updrafts to save power,Transmit unauthenticated control commands to save bandwidth,"[""Switch to encrypted LOS comms and inertial-aided navigation"", ""Increase GNSS update frequency to counter jamming"", ""Upload new survey path via unencrypted telemetry link"", ""Rely solely on GPS with carrier-phase enhancement"", ""Disable intrusion detection to reduce processing latency"", ""Hover in place using thermal updrafts to save power"", ""Transmit unauthenticated control commands to save bandwidth""]","Encrypted LOS maintains command integrity during uplink dropouts and resists spoofing. Inertial-aided navigation preserves position trust when GNSS is jammed. This ensures control stability, secure path continuation, and separation assurance under cyber-physical stress." 2025-11-01T18:03:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Glider_Training_in_Volcanic_Zone_with_Hail_d114bc8175ca_mcq.json,uavbench-mcq-v1,Night_Glider_Training_in_Volcanic_Zone_with_Hail,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,F,False,"At 220s, icing reduces lift for 60s; UAV must survey 5 waypoints and land. Maximize mission success under battery and obstacle constraints.","Night glider training mission in a volcanic zone with active hail and poor visibility. Flight occurs within a defined polygon airspace with a 30–350 m AGL altitude range. Winds increase with altitude, from 8.5 m/s at ground to 13.5 m/s at 200 m, with gusts and shifting direction. The UAV is a battery-powered glider equipped with RGB and thermal cameras. A permanent no-fly zone cylinder is centered at (500, 400) with a 60 m radius and 20–300 m vertical limits. A dynamic no-fly zone moves at velocity (-2, 3) with a 40 m radius and 40–250 m ceiling. GNSS signals suffer from multipath effects and moderate jamming at -95 dBm, with EM interference present. The mission involves a corridor survey with five waypoints and requires runway landing. An icing event occurs at 220 seconds, reducing performance for one minute. A second UAV and a moving spherical obstacle introduce separation and collision avoidance challenges.",Climb to 350 m for stronger tailwinds to save energy,Disable thermal camera to conserve power for de-icing,Shorten path by skipping waypoint 3 to save time and energy,Increase speed using full battery to finish before icing,"Circle at 200 m to wait out icing, then resume survey",Descend to 30 m to reduce wind load and power use,Transmit all data in real-time at maximum bandwidth,"[""Climb to 350 m for stronger tailwinds to save energy"", ""Disable thermal camera to conserve power for de-icing"", ""Shorten path by skipping waypoint 3 to save time and energy"", ""Increase speed using full battery to finish before icing"", ""Circle at 200 m to wait out icing, then resume survey"", ""Descend to 30 m to reduce wind load and power use"", ""Transmit all data in real-time at maximum bandwidth""]","Descending to 30 m reduces wind-induced drag and power demand during performance loss. It avoids gusty, high-wind layers, conserving battery for critical phases. Other options increase energy use or risk collision or data overload under limited endurance." 2025-11-01T18:03:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Operations_Training_in_Warehouse_with_Thermal_Updrafts_d919932fc231_mcq.json,uavbench-mcq-v1,Night_Operations_Training_in_Warehouse_with_Thermal_Updrafts,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,C,False,"With GNSS jamming, 600-second limit, and intermittent comms, which protocol ensures secure, resilient navigation and control?","This scenario involves a night-time UAV inspection mission inside a confined warehouse environment. The airspace is indoor with a defined polygonal geofence and both static and moving no-fly zones. Weather conditions include light crosswinds from the west and poor visibility due to thermal updrafts generated by two localized plumes. The UAV is a dual-rotor helicopter equipped with a thermal camera, RGB camera, LiDAR, and full suite of navigation sensors. It carries a 0.5 kg payload and relies solely on battery power, requiring careful energy management. GNSS signals are degraded due to multipath effects and moderate jamming, limiting positioning accuracy despite sensor redundancy. The mission requires navigating a corridor pattern between five waypoints while avoiding obstacles and maintaining separation from other traffic. A second UAV moves through the space on a fixed heading, and a spherical obstacle drifts slowly near the center. Communication links experience intermittent uplink and downlink outages at specific times, simulating unreliable control and telemetry. The UAV must complete the circuit within 600 seconds while respecting altitude limits, avoiding collisions, and returning safely to the preferred landing site.",Use unencrypted telemetry for faster downlink updates,Rely solely on GNSS with no sensor fusion,Authenticate commands via TLS and fuse LiDAR-INS during GNSS outages,Disable intrusion detection to reduce processing latency,Transmit control signals in plaintext to save battery,Trust all sensor inputs equally without anomaly filtering,Switch to open-loop control when comms drop,"[""Use unencrypted telemetry for faster downlink updates"", ""Rely solely on GNSS with no sensor fusion"", ""Authenticate commands via TLS and fuse LiDAR-INS during GNSS outages"", ""Disable intrusion detection to reduce processing latency"", ""Transmit control signals in plaintext to save battery"", ""Trust all sensor inputs equally without anomaly filtering"", ""Switch to open-loop control when comms drop""]","C ensures data integrity and availability by authenticating uplinks and using encrypted channels. It maintains control stability through sensor fusion, switching to LiDAR-aided inertial navigation when GNSS is compromised. This preserves mission continuity under jamming and intermittent links while detecting and isolating untrusted data." 2025-11-01T18:03:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Convertiplane_Training_at_Airport_Perimeter_68afd9757018_mcq.json,uavbench-mcq-v1,Night_Ops_Convertiplane_Training_at_Airport_Perimeter,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"Night UAV training near airport; 120 m AGL max, 10-min inspection, strong winds, GNSS jamming, and no-fly zone present.","Nighttime convertiplane UAV training mission near airport perimeter. Operating in controlled airspace with maximum altitude of 120 meters AGL. Poor visibility and strong winds up to 15 m/s with wind shear and microburst risk. Convertiplane UAV equipped with RGB and thermal cameras, LiDAR, and full sensor suite. Payload includes inspection-grade sensors with added drag and mass. No-fly zone cylinder near center of operational area restricts flight path. GNSS jamming and electromagnetic interference present, with planned GNSS outage fault. Wind increases with altitude and shifts direction, complicating flight stability. Secondary UAV traffic and a moving spherical obstacle challenge separation. Mission requires runway alignment and must complete inspection corridor within 10 minutes.",Climb to 110 m AGL for better wind clearance,Fly direct at 60 m AGL through no-fly zone center,"Descend to 40 m AGL, delay inspection, then proceed","Divert around no-fly zone at 80 m AGL, maintain speed",Hover at 50 m AGL until secondary UAV passes,Accelerate through corridor at 100 m AGL into headwind,"Follow runway alignment at 70 m AGL, thermal-guided, then inspect","[""Climb to 110 m AGL for better wind clearance"", ""Fly direct at 60 m AGL through no-fly zone center"", ""Descend to 40 m AGL, delay inspection, then proceed"", ""Divert around no-fly zone at 80 m AGL, maintain speed"", ""Hover at 50 m AGL until secondary UAV passes"", ""Accelerate through corridor at 100 m AGL into headwind"", ""Follow runway alignment at 70 m AGL, thermal-guided, then inspect""]","Option G maintains compliance with AGL limits, avoids the no-fly zone, and uses thermal guidance to mitigate GNSS/visibility risks. It aligns with the runway requirement and prioritizes mission timing under wind shear. Other options violate airspace, increase collision risk, or fail to ensure navigation resilience." 2025-11-01T18:03:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Fixed-Wing_Survey_in_Underground_Mine_with_Lightning_Risk_ef3de300a2bf_mcq.json,uavbench-mcq-v1,Night_Ops_Fixed-Wing_Survey_in_Underground_Mine_with_Lightning_Risk,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"During GNSS jamming, with 5 m/s west wind and 10-minute limit, what airspeed ensures lift and survey efficiency at 2-meter minimum altitude?","Fixed-wing UAV conducts a night survey mission inside an underground mine. The confined airspace is defined by a polygon boundary with a minimum altitude of 2 meters and a maximum of 50 meters AGL. Weather includes poor visibility and a lightning risk, though winds are moderate at 5 m/s from the west with gusts up to 3 m/s. The UAV is equipped with GNSS, IMU, magnetometer, barometer, LiDAR, RGB and thermal cameras for navigation and data collection. A cylindrical no-fly zone with a 20-meter radius is centered in the mine, restricting flight near critical infrastructure. The mission requires a runway for takeoff and landing, with a designated threshold and preferred landing site. Flight is constrained by limited GNSS reliability due to underground conditions and an induced 30-second GNSS jamming fault during operation. Separation assurance is monitored with a 25-meter threshold and 15-second time-to-closest-approach alerting. The UAV must complete a corridor-style survey pattern within a 10-minute time budget while managing battery reserves. Payload and aerodynamic properties support efficient flight, but stall speed and battery capacity impose operational limits.",Increase airspeed to 18 m/s to overcome wind resistance,Fly at 12 m/s to balance lift and battery endurance,Descend below 2 meters to reduce induced drag,Pitch up 15° to increase angle of attack for lift,Reduce throttle to 60% to minimize parasitic drag,Turn east immediately to use tailwind for thrust,Circle at 50 m altitude to maximize GNSS signal capture,"[""Increase airspeed to 18 m/s to overcome wind resistance"", ""Fly at 12 m/s to balance lift and battery endurance"", ""Descend below 2 meters to reduce induced drag"", ""Pitch up 15° to increase angle of attack for lift"", ""Reduce throttle to 60% to minimize parasitic drag"", ""Turn east immediately to use tailwind for thrust"", ""Circle at 50 m altitude to maximize GNSS signal capture""]","At 12 m/s, the UAV remains above stall speed while optimizing lift-to-drag ratio and conserving battery. Flying higher or faster increases drag and power use, while lower altitudes violate the 2-meter floor and reduce terrain clearance safety." 2025-11-01T18:03:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Harbor_Surveillance_70ce3932da2e_mcq.json,uavbench-mcq-v1,Night_Ops_Harbor_Surveillance,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Plan optimal survey path under GNSS jamming, 45-second outage, and dynamic NFZ at 15 m/s westbound intruder with 25m separation.","Nighttime harbor surveillance mission using a fixed-wing solar UAV equipped with radar, RGB, and thermal cameras. Operating within a defined polygonal airspace over water, between 20 and 120 meters AGL. Winds are moderate at 6.5 m/s from 240° at surface, increasing to 9.5 m/s at 100 m with shifting direction. Visibility is poor, with thermal updrafts present near two localized plumes affecting lift and stability. The UAV is a battery-powered solar wing with a 12.5 kg mass and 450 Wh capacity, carrying a 1.2 kg payload. GNSS signals suffer from multipath effects and jamming at -75 dBm, with a simulated jamming fault lasting 45 seconds. A static no-fly zone blocks access near a protected area, and a dynamic no-fly zone moves slowly through the airspace. A single intruder UAV travels westbound at 15 m/s, requiring separation maintenance of at least 25 meters. Communication experiences two brief downlink loss windows, impacting data transmission reliability. The mission requires runway-aligned takeoff and landing, with a strict 10-minute time budget for survey completion.","Climb to 120m AGL, direct route through thermal plumes to cut survey time","Descend to 20m AGL, follow coastline to avoid jamming and thermal updrafts","Maintain 80m AGL, pre-jamming waypoint shift east to avoid dynamic NFZ","Hold position at 60m AGL until jamming ends, resume original flight plan","Turn 30° north to bypass intruder, increase speed to 18 m/s for time recovery","Reroute south below static NFZ, use visual tracking during GNSS loss",Execute S-turn pattern at 100m AGL to maintain surveillance while delaying entry,"[""Climb to 120m AGL, direct route through thermal plumes to cut survey time"", ""Descend to 20m AGL, follow coastline to avoid jamming and thermal updrafts"", ""Maintain 80m AGL, pre-jamming waypoint shift east to avoid dynamic NFZ"", ""Hold position at 60m AGL until jamming ends, resume original flight plan"", ""Turn 30° north to bypass intruder, increase speed to 18 m/s for time recovery"", ""Reroute south below static NFZ, use visual tracking during GNSS loss"", ""Execute S-turn pattern at 100m AGL to maintain surveillance while delaying entry""]","Maintaining 80m AGL balances wind shear and sensor coverage while avoiding thermal instability near plumes. Preemptive eastward shift accounts for dynamic NFZ motion and GNSS outage by increasing lateral separation from intruder. This preserves time budget, avoids NFZ breaches, and mitigates drift during jamming without energy-intensive maneuvers." 2025-11-01T18:03:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Heavy_Lift_Training_at_Industrial_Plant_14a6bacbf9dc_mcq.json,uavbench-mcq-v1,Night_Ops_Heavy_Lift_Training_at_Industrial_Plant,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 240 s, icing reduces thrust; UAV must complete corridor with 8 kg payload, 8.5 m/s westerly winds, and 600 s limit.","This is a night-time heavy lift UAV training mission at an industrial plant. The UAV operates within a confined airspace bounded by a polygonal geofence from 10 to 120 meters AGL. Weather conditions include strong westerly winds at 8.5 m/s, gusts up to 4.2 m/s, poor visibility, and icing conditions. The UAV is an octocopter with a battery power source, carrying an 8 kg payload equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. A static no-fly zone is present near the center of the area, and a dynamic no-fly zone moves slowly through the environment. The mission involves a corridor inspection pattern with five waypoints and must be completed within 600 seconds. A second UAV and a moving spherical obstacle introduce traffic and collision risks. The UAV must maintain a minimum separation of 25 meters and avoid DAA breaches. An icing fault event occurs at 240 seconds, reducing performance for one minute. Communication experiences a brief downlink loss between 400 and 410 seconds, with minimum RSSI at -85 dBm.",Climb to 110 m AGL to avoid dynamic no-fly zone and gain energy margin,Reduce speed by 30% to stabilize flight and conserve battery during icing,"Proceed at nominal speed, prioritizing timeline over energy and stability",Descend to 15 m AGL to reduce wind exposure and thrust demand,Increase altitude to 120 m AGL for safer separation from moving obstacle,"Divert to nearest waypoint, reducing risk despite time and path inefficiency",Maintain planned profile with slight throttle increase to offset icing losses,"[""Climb to 110 m AGL to avoid dynamic no-fly zone and gain energy margin"", ""Reduce speed by 30% to stabilize flight and conserve battery during icing"", ""Proceed at nominal speed, prioritizing timeline over energy and stability"", ""Descend to 15 m AGL to reduce wind exposure and thrust demand"", ""Increase altitude to 120 m AGL for safer separation from moving obstacle"", ""Divert to nearest waypoint, reducing risk despite time and path inefficiency"", ""Maintain planned profile with slight throttle increase to offset icing losses""]","Maintaining the planned profile with minor throttle adjustment balances aerodynamic stability, energy use, and mission timing. It avoids unsafe low altitude (D), excessive power draw (E), or time loss (F), while compensating precisely for icing thrust loss without overreacting. This ensures navigation accuracy, separation, and compliance within constrained airspace and downlink windows." 2025-11-01T18:03:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Heavy_Lift_Training_in_Jungle_Fog_511dd0a45f3a_mcq.json,uavbench-mcq-v1,Night_Ops_Heavy_Lift_Training_in_Jungle_Fog,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During GNSS multipath and EM interference at 110 m AGL in fog, how should the UAV maintain position integrity with 10 kg payload?","This is a night-time heavy lift delivery training mission in a dense jungle environment. The UAV operates under poor visibility due to fog and faces icing conditions during flight. It is an octocopter with a battery-powered heavy-lift configuration carrying a 10 kg payload. The UAV is equipped with GNSS, IMU, lidar, RGB and thermal cameras, but experiences GNSS multipath and electromagnetic interference. Wind increases with altitude, reaching up to 10 m/s from the west, with gusts and variable direction. The operational airspace is confined between 10 m and 120 m AGL within a polygonal geofence. There are two no-fly zones: one static cylinder and one moving cylinder that drifts slowly. A single intruder UAV enters the airspace, and a moving spherical obstacle traverses the flight path. Communication suffers from intermittent downlink outages and low signal strength. A simulated icing event occurs mid-mission, reducing performance for one minute.",Trust GNSS exclusively; increase update rate to 10 Hz,Switch to lidar-IMU dead reckoning with encrypted telemetry,Descend to 10 m to avoid wind gusts and EM noise,Broadcast unencrypted position via secondary radio for recovery,Disable thermal camera to reallocate power to de-icing,Accept spoofed GNSS fixes to maintain geofence compliance,Use open-loop IMU integration without sensor fusion,"[""Trust GNSS exclusively; increase update rate to 10 Hz"", ""Switch to lidar-IMU dead reckoning with encrypted telemetry"", ""Descend to 10 m to avoid wind gusts and EM noise"", ""Broadcast unencrypted position via secondary radio for recovery"", ""Disable thermal camera to reallocate power to de-icing"", ""Accept spoofed GNSS fixes to maintain geofence compliance"", ""Use open-loop IMU integration without sensor fusion""]","Lidar-IMU fusion provides resilient positioning during GNSS denial while encrypted telemetry ensures command integrity. This maintains control stability and cyber-physical security. Other options expose the UAV to spoofing, data compromise, or unmitigated drift." 2025-11-01T18:03:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Mountain_Swarm_Training_b10841dd48ce_mcq.json,uavbench-mcq-v1,Night_Ops_Mountain_Swarm_Training,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best ensures swarm endurance, obstacle avoidance, and navigation reliability at 14.5 m/s winds and icing in 600 seconds?","Night operations involve a swarm of five UAVs conducting a mountainous terrain survey mission. The flight occurs in mountainous airspace with a designated corridor between 50 and 250 meters AGL. Winds are strong, increasing with altitude up to 14.5 m/s from the west-southwest, with gusts and poor visibility. The UAVs are battery-powered quadcopters equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. Icing conditions are present, with a simulated icing event reducing performance mid-mission. A static no-fly zone and a moving dynamic no-fly zone challenge navigation, along with a drifting spherical obstacle. GNSS signals suffer from multipath and moderate jamming, while electromagnetic interference and uplink outages add communication stress. The swarm must maintain 25-meter separation, avoid traffic and obstacles, and operate within strict geofenced boundaries. Thermal updrafts near the center of the area offer potential lift. The mission must be completed within 600 seconds, starting from a designated spawn point and aiming for survey coverage along a corridor pattern.",Lightweight frame with minimal sensors for energy savings,High-battery capacity with basic GNSS and no thermal updraft use,Redundant IMU and de-icing rotors with LiDAR-based obstacle avoidance,Solar-assisted power with standard cameras and delayed uplink response,Centralized swarm control relying on continuous GNSS signal,"Aggressive speed tuning to reduce flight time, no gust compensation",Passive obstacle mapping ignoring dynamic no-fly zone updates,"[""Lightweight frame with minimal sensors for energy savings"", ""High-battery capacity with basic GNSS and no thermal updraft use"", ""Redundant IMU and de-icing rotors with LiDAR-based obstacle avoidance"", ""Solar-assisted power with standard cameras and delayed uplink response"", ""Centralized swarm control relying on continuous GNSS signal"", ""Aggressive speed tuning to reduce flight time, no gust compensation"", ""Passive obstacle mapping ignoring dynamic no-fly zone updates""]","System C balances fault tolerance, environmental adaptability, and sensor fidelity. Its de-icing rotors mitigate performance loss, LiDAR handles poor visibility and obstacle tracking, and redundant IMU counters GNSS jamming. Other options fail in navigation resilience, energy management, or real-time adaptability under combined stressors." 2025-11-01T18:03:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Training_-_Hexacopter_Snowfall_Mission_525c0d95eb80_mcq.json,uavbench-mcq-v1,Night_Ops_Training_-_Hexacopter_Snowfall_Mission,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"At 415s, GNSS drifts 1.8m/s; snow reduces LiDAR range to 40m. How to maintain navigation integrity?","This is a night-time inspection mission using a hexacopter UAV near an airport perimeter. The operation takes place in a 200m x 200m geofenced area with a cylindrical no-fly zone centered at (100,100) and a 20m radius. Weather conditions include moderate snowfall, 6.5 m/s winds from 240 degrees, gusts up to 3.2 m/s, and poor visibility. The UAV is equipped with GNSS, IMU, lidar, RGB and thermal cameras, and has a 520Wh battery with a 30% reserve requirement. Flight altitude is restricted between 10m and 120m AGL, and the UAV must avoid a runway extending beyond the operational zone. A second UAV enters the airspace from the east at 12 m/s, requiring separation of at least 25m and a time-to-collision threshold of 20s. A moving spherical obstacle drifts westward at 2 m/s through the inspection corridor. GNSS jamming occurs at 420 seconds into the mission, lasting 45 seconds with 80% severity, challenging navigation. Communication dropouts occur between 120–135s and 300–310s, adding risk during critical phases of the mission.",Increase reliance on thermal-RGB optical flow,Switch to pure IMU dead reckoning,Descend to 8m to reduce wind effects,Use lidar-IMU fusion with terrain matching,Hold position using GNSS despite drift,Ascend to 120m for better signal clarity,Rely on visual odometry in snowfall,"[""Increase reliance on thermal-RGB optical flow"", ""Switch to pure IMU dead reckoning"", ""Descend to 8m to reduce wind effects"", ""Use lidar-IMU fusion with terrain matching"", ""Hold position using GNSS despite drift"", ""Ascend to 120m for better signal clarity"", ""Rely on visual odometry in snowfall""]","Lidar-IMU fusion compensates for GNSS drift by leveraging terrain-relative measurements while maintaining altitude within safe bounds. Snowfall degrades visual and thermal odometry, making optical flow unreliable. This method preserves navigation integrity using available sensor redundancy and environmental feedback despite reduced LiDAR range." 2025-11-01T18:03:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Training_at_Bridge_Site_under_Icing_Conditions_08df43790924_mcq.json,uavbench-mcq-v1,Night_Ops_Training_at_Bridge_Site_under_Icing_Conditions,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"With 8 m/s winds, a 10-minute limit, and 30% reserve, which path maximizes coverage while avoiding dynamic zones and maintaining 25 m separation?","This scenario involves a night-time inspection mission using a hexacopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place near a bridge within a defined polygonal airspace boundary, with a maximum altitude of 120 meters AGL. Weather conditions include strong 8 m/s winds from the west, gusts up to 4 m/s, poor visibility, and icing conditions that temporarily affect UAV performance. The UAV has a battery capacity of 1200 Wh and carries a 0.7 kg payload, with energy reserves set at 30% for safe return. A static no-fly zone is present near the center of the site, and a second dynamic no-fly zone moves through the area, requiring real-time avoidance. Air traffic includes another UAV flying through the airspace on a fixed path, and a moving spherical obstacle drifts through the flight path. The mission requires navigating a corridor pattern between four waypoints within a 10-minute time limit, starting from a designated spawn point. Communication experiences brief downlink outages, and the UAV must maintain separation of at least 25 meters from other traffic. An icing event occurs mid-mission, reducing performance for one minute, while GNSS signal integrity is monitored for potential multipath or loss.","Fly direct to waypoint 3, ignoring wind drift and traffic alerts","Adjust heading east to compensate for west wind, delaying start by 90 seconds","Proceed clockwise, reducing speed to conserve energy during icing event","Ascend to 110 m for clearer LiDAR, bypassing moving obstacle laterally",Reverse course after waypoint 2 to avoid dynamic no-fly zone with 15 m margin,Synchronize speed with other UAV to share thermal data during downlink outage,"Maintain planned corridor speed, using LiDAR to pre-emptively reroute around drift sphere","[""Fly direct to waypoint 3, ignoring wind drift and traffic alerts"", ""Adjust heading east to compensate for west wind, delaying start by 90 seconds"", ""Proceed clockwise, reducing speed to conserve energy during icing event"", ""Ascend to 110 m for clearer LiDAR, bypassing moving obstacle laterally"", ""Reverse course after waypoint 2 to avoid dynamic no-fly zone with 15 m margin"", ""Synchronize speed with other UAV to share thermal data during downlink outage"", ""Maintain planned corridor speed, using LiDAR to pre-emptively reroute around drift sphere""]","G ensures real-time obstacle avoidance while maintaining mission timing and inter-agent separation. It uses onboard sensing proactively, preserving communication efficiency during downlink gaps. Other options either violate separation, waste time, or fail to adapt within energy and coordination constraints." 2025-11-01T18:03:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Training_at_Industrial_Plant_dea7c4aa3ce1_mcq.json,uavbench-mcq-v1,Night_Ops_Training_at_Industrial_Plant,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 118m AGL, 8 min elapsed, snow reduces visibility; dynamic no-fly zone encroaches mission path. Continue?","This is a night-time UAV inspection mission at an industrial plant. The airspace is confined within a 400m x 300m polygon with a minimum altitude of 5m and maximum of 120m AGL. Weather conditions include moderate wind at 6 m/s from 240°, gusts up to 3.5 m/s, poor visibility, and active snowfall. The UAV is a battery-powered quadrotor equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. A static no-fly zone blocks a critical area near the center, and a dynamic no-fly zone moves across the site, requiring real-time avoidance. A second UAV and a moving spherical obstacle add complexity to the environment. Communication experiences two brief loss windows, each lasting 10 seconds, with generally stable signal strength. The mission requires completing a rectangular grid pattern within 10 minutes while maintaining separation of at least 25m from other traffic. GNSS signals may suffer from multipath due to industrial structures, and visual limitations are expected due to darkness and snow. Battery endurance is limited, with a reserve fraction of 30%, requiring efficient route execution.",Descend to 10m to avoid snow interference,"Proceed at 118m, prioritize mission timeline",Ascend to 125m for clearer sensor data,"Divert 50m east, delay grid completion",Hover in place until no-fly zone passes,Land immediately due to GNSS multipath risk,"Continue with thermal camera only, ignore gusts","[""Descend to 10m to avoid snow interference"", ""Proceed at 118m, prioritize mission timeline"", ""Ascend to 125m for clearer sensor data"", ""Divert 50m east, delay grid completion"", ""Hover in place until no-fly zone passes"", ""Land immediately due to GNSS multipath risk"", ""Continue with thermal camera only, ignore gusts""]","Diverting maintains separation from the dynamic no-fly zone and respects altitude, weather, and traffic constraints. Continuing or ascending violates safety boundaries, while hovering or landing increases collision risk. Preserving human safety and legal compliance outweighs mission timing." 2025-11-01T18:03:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Training_in_Dense_Urban_with_Rain_cd76211d0cf0_mcq.json,uavbench-mcq-v1,Night_Ops_Training_in_Dense_Urban_with_Rain,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 400m AGL in heavy rain, icing reduces UAV performance for 1 minute; GNSS degrades, and a moving no-fly zone encroaches. What action prioritizes safety and legality?","Nighttime survey mission in a dense urban environment with active no-fly zones and dynamic obstacles. Flight occurs between 100 and 600 meters AGL within a defined geofenced polygon. Weather includes rain, potential icing, poor visibility, and strong winds increasing with altitude. A high-altitude pseudo-satellite UAV equipped with radar, RGB, and thermal cameras conducts the mission. The UAV carries a 5 kg payload and relies on battery power with a 30% reserve requirement. GNSS signals are degraded due to multipath, jamming, and electromagnetic interference. A moving no-fly zone and a drifting obstacle challenge navigation and collision avoidance. Wind shifts direction and intensifies with altitude, requiring adaptive flight control. An icing fault event occurs mid-mission, reducing performance for one minute. Radio signal loss windows and traffic from another UAV add communication and separation challenges.",Continue mission using thermal camera to track obstacles,Descend to 100m AGL to avoid icing and strong winds,Climb to 600m for clearer GNSS and wind stability,Abort mission and land at nearest safe urban site,Fly through no-fly zone to complete high-priority survey,Rely on radar to penetrate jamming and maintain course,Enter loiter mode at current altitude until systems recover,"[""Continue mission using thermal camera to track obstacles"", ""Descend to 100m AGL to avoid icing and strong winds"", ""Climb to 600m for clearer GNSS and wind stability"", ""Abort mission and land at nearest safe urban site"", ""Fly through no-fly zone to complete high-priority survey"", ""Rely on radar to penetrate jamming and maintain course"", ""Enter loiter mode at current altitude until systems recover""]","Human safety and airspace laws override mission objectives. Descending or loitering risks collision with dynamic obstacles or violating the moving no-fly zone. Only aborting ensures compliance with safety reserves, degraded navigation, and emergency conditions, minimizing harm to people and property below." 2025-11-01T18:03:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Training_in_Dense_Urban_with_Fixed-Wing_UAV_under_Hot_Conditions_e6d0db16454c_mcq.json,uavbench-mcq-v1,Night_Ops_Training_in_Dense_Urban_with_Fixed-Wing_UAV_under_Hot_Conditions,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"At 125 s, with RSSI -82 dBm and 8.5 m/s wind, how should the UAV adjust its scan pattern near (400, 300)?","This is a night-time fixed-wing UAV mapping mission in dense urban airspace. The UAV carries RGB and thermal cameras, along with LiDAR, for data collection. Operating under hot weather conditions, the UAV faces high temperature stress and a strong 8.5 m/s wind from 240 degrees with gusts. GNSS signals are degraded due to multipath effects and moderate jamming at -75 dBm, compounded by electromagnetic interference. The flight envelope is bounded between 60 m and 300 m AGL, with a cylindrical no-fly zone centered at (400, 300) restricting access. The mission requires use of a runway for takeoff and landing, with a preferred landing site at (750, 550, 60). A single intruder UAV moves westward at 20 m/s, requiring separation monitoring with a 50 m minimum distance threshold. A moving spherical obstacle drifts left at 5 m/s near a key waypoint, adding dynamic collision risk. Communication experiences brief uplink/downlink outages between 120–130 s and 450–465 s, with minimum RSSI at -82 dBm.",Climb to 300 m for clearer GNSS and thermal coverage,Delay waypoint approach until wind drops below 7 m/s,"Enter holding pattern at 150 m, awaiting uplink restoration",Descend to 60 m to reduce wind exposure and stabilize cameras,"Proceed directly toward (400, 300) at 25 m/s to minimize loiter","Turn east to reroute via (500, 400), adding 40 s but avoiding jamming",Transmit compressed LiDAR data burst before signal loss,"[""Climb to 300 m for clearer GNSS and thermal coverage"", ""Delay waypoint approach until wind drops below 7 m/s"", ""Enter holding pattern at 150 m, awaiting uplink restoration"", ""Descend to 60 m to reduce wind exposure and stabilize cameras"", ""Proceed directly toward (400, 300) at 25 m/s to minimize loiter"", ""Turn east to reroute via (500, 400), adding 40 s but avoiding jamming"", ""Transmit compressed LiDAR data burst before signal loss""]","Rerouting via (500, 400) avoids the no-fly zone and jamming hotspot while preserving communication integrity during the 120–130 s outage window. It maintains safe separation from the intruder and spherical obstacle by increasing lateral margin. This path balances timing, sensor performance, and coordination resilience under degraded RF conditions." 2025-11-01T18:03:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Training_in_Forest_with_Hail_aeea71dcb60d_mcq.json,uavbench-mcq-v1,Night_Ops_Training_in_Forest_with_Hail,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"At 4,500 m AGL with 15 m/s westerly winds and icing reducing performance for 60 seconds, how should the UAV respond to maintain mission safety and efficiency?","Nighttime survey mission conducted in a forested airspace using a high-altitude pseudo-satellite UAV. The UAV is equipped with radar, RGB and thermal cameras, and relies on battery power with significant energy demands. Operations occur between 2,000 and 5,000 meters AGL within a defined polygonal geofence. Weather includes strong westerly winds up to 15 m/s at altitude, poor visibility, hail, and icing conditions. A stationary no-fly zone and a moving restricted zone challenge navigation planning. GNSS signals suffer from multipath errors and moderate jamming, while electromagnetic interference is present. The UAV must avoid a dynamic obstacle and another UAV on a crossing path using DAA thresholds. An icing fault event occurs mid-mission, reducing performance for one minute. Downlink communications experience intermittent outages, limiting data transmission. Thermal updrafts offer potential lift, but battery endurance and separation safety remain critical constraints.","Descend to 2,000 m to avoid icing and conserve battery",Maintain altitude and increase thrust to counter wind,"Climb to 5,000 m for stronger thermal updrafts",Enter loiter mode until GNSS signal stabilizes,Reduce speed to minimize drag during icing event,Switch to optical navigation and ascend rapidly,Activate emergency downlink compression and hold course,"[""Descend to 2,000 m to avoid icing and conserve battery"", ""Maintain altitude and increase thrust to counter wind"", ""Climb to 5,000 m for stronger thermal updrafts"", ""Enter loiter mode until GNSS signal stabilizes"", ""Reduce speed to minimize drag during icing event"", ""Switch to optical navigation and ascend rapidly"", ""Activate emergency downlink compression and hold course""]","Reducing speed minimizes aerodynamic drag and energy use during the temporary performance loss from icing, preserving battery. It maintains controllability and separation safety under degraded aerodynamics while avoiding risky altitude changes. This balances energy, aerodynamics, and safety without violating geofence or coordination constraints." 2025-11-01T18:03:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Training_in_Forest_with_Icing_Conditions_907700aa93dd_mcq.json,uavbench-mcq-v1,Night_Ops_Training_in_Forest_with_Icing_Conditions,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During nighttime UAV flight at 110 m AGL with 11.5 m/s winds and GNSS jamming at -75 dBm, which navigation strategy maintains accuracy?","Nighttime UAV training mission in a forested area with inspection objectives. Operating within a defined rectangular airspace boundary, with altitude limits between 10 and 120 meters AGL. Weather includes strong winds up to 11.5 m/s increasing with altitude, poor visibility, and hazardous icing conditions. UAV is an amphibious VTOL with fixed-wing capabilities, equipped with RGB and thermal cameras, LiDAR, and full suite of navigation sensors. Mission involves navigating a corridor pattern through four waypoints, requiring runway-assisted takeoff and landing. A static no-fly zone blocks the central area, while a moving no-fly zone drifts westward, adding dynamic constraint. Additional moving obstacle travels horizontally, requiring real-time avoidance. GNSS performance is degraded due to multipath effects, jamming at -75 dBm, and electromagnetic interference. Icing fault is simulated mid-mission, reducing performance for 120 seconds, with potential impact on lift and control. Downlink communications are lost during two critical time windows, limiting telemetry and sensor data transmission.",Rely solely on GNSS with Kalman smoothing,Use LiDAR-only SLAM in dense forest canopy,Fuse IMU with thermal-optical flow tracking,Depend on magnetic heading during icing event,Navigate using GPS-RTK despite multipath,Switch to barometer-based altitude hold,Follow waypoint path using RGB vision only,"[""Rely solely on GNSS with Kalman smoothing"", ""Use LiDAR-only SLAM in dense forest canopy"", ""Fuse IMU with thermal-optical flow tracking"", ""Depend on magnetic heading during icing event"", ""Navigate using GPS-RTK despite multipath"", ""Switch to barometer-based altitude hold"", ""Follow waypoint path using RGB vision only""]","GNSS is degraded by multipath and jamming at -75 dBm, making it unreliable. Thermal and optical flow sensors provide complementary data in low visibility, enabling robust visual-inertial fusion. IMU integration compensates for wind disturbances and maintains pose estimation during GNSS outages." 2025-11-01T18:03:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Training_in_Icing_Conditions_with_Swarm_Drones_7144a52b4065_mcq.json,uavbench-mcq-v1,Night_Ops_Training_in_Icing_Conditions_with_Swarm_Drones,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,A,False,"Which route maintains 5m separation, avoids the 20m-radius NFZ at 10–60m altitude, and adapts to wind during the 200s icing event?","Nighttime inspection mission using a swarm of four battery-powered drones in a wind farm environment. Operating altitude ranges from 10 to 120 meters above ground within a 200m x 200m geofenced area. Weather includes strong westerly winds at 8 m/s, gusts up to 4 m/s, and poor visibility due to icing conditions. Each UAV is equipped with RGB and thermal cameras, GNSS, IMU, barometer, and magnetometer for navigation and sensing. A no-fly cylindrical zone is located at the center of the area, spanning 20m radius and 10–60m altitude. The swarm must maintain a minimum 5-meter separation between drones during coordinated grid-pattern flight. An icing event is simulated at 200 seconds, reducing aerodynamic efficiency by 40% for one minute. A moving spherical obstacle drifts vertically near a key waypoint, requiring real-time avoidance. Brief communication dropouts occur at 150 and 300 seconds, challenging command and control. A non-cooperative UAV enters the airspace from the south, increasing collision risk and DAA monitoring demands.","Climb to 65m before NFZ, direct path to waypoint W2","Descend to 8m, fly east at 150s, bypass NFZ south","Fly westward grid at 120m, delay NFZ crossing until 250s","Approach NFZ at 50m, turn 180°, reroute north then east",Hold hover at 70m for 20s after 150s comms dropout,"Cut through NFZ at 62m altitude, reduce speed to 3 m/s",Use thermal updrafts near turbines to offset 40% lift loss,"[""Climb to 65m before NFZ, direct path to waypoint W2"", ""Descend to 8m, fly east at 150s, bypass NFZ south"", ""Fly westward grid at 120m, delay NFZ crossing until 250s"", ""Approach NFZ at 50m, turn 180°, reroute north then east"", ""Hold hover at 70m for 20s after 150s comms dropout"", ""Cut through NFZ at 62m altitude, reduce speed to 3 m/s"", ""Use thermal updrafts near turbines to offset 40% lift loss""]","Option A clears the NFZ vertically by staying above 60m and avoids low-altitude icing risks near 10m. It maintains forward progress despite wind and lift loss, minimizing energy use. Other options breach NFZ, reduce separation, or waste time." 2025-11-01T18:03:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Training_in_Mountainous_Icing_Conditions_7a070162d8a2_mcq.json,uavbench-mcq-v1,Night_Ops_Training_in_Mountainous_Icing_Conditions,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During 20s comms drop with 13.5 m/s gusts and moderate GNSS jamming, which action ensures control and data integrity?","Nighttime inspection mission in mountainous terrain with icing conditions. Operating within a defined polygonal airspace bounded between 50 and 350 meters AGL. Strong winds up to 13.5 m/s increasing with altitude, coming from the southwest with gusts. Octocopter UAV equipped with RGB and thermal cameras, LiDAR, and full suite of navigation sensors. Flight challenged by GNSS multipath, moderate jamming, and electromagnetic interference. A static no-fly zone near the center and a moving restricted zone create navigation constraints. Additional dynamic traffic and a drifting spherical obstacle require real-time avoidance. Icing event occurs mid-mission, degrading performance for 90 seconds. Communication dropouts occur twice, each lasting 20 seconds, affecting control reliability. Mission must be completed within 10 minutes, returning to a preferred landing site under reserve power.",Switch to encrypted telemetry with authenticated command verification,Rely solely on GNSS for position updates during jamming,Disable LiDAR to reduce processor load,Transmit unencrypted video to save bandwidth,Use open-loop control to maintain heading,Accept all ground commands without cryptographic checks,Descend below 50 m AGL to avoid wind,"[""Switch to encrypted telemetry with authenticated command verification"", ""Rely solely on GNSS for position updates during jamming"", ""Disable LiDAR to reduce processor load"", ""Transmit unencrypted video to save bandwidth"", ""Use open-loop control to maintain heading"", ""Accept all ground commands without cryptographic checks"", ""Descend below 50 m AGL to avoid wind""]","Encrypted and authenticated telemetry preserves command integrity during communication dropouts, preventing spoofed or injected inputs. It enables secure reestablishment of control when links return, while maintaining alignment with navigation fallbacks. Other options expose the UAV to adversarial manipulation or violate operational boundaries." 2025-11-01T18:03:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Training_in_Volcanic_Zone_with_Lightning_Risk_b19dbb5ac211_mcq.json,uavbench-mcq-v1,Night_Ops_Training_in_Volcanic_Zone_with_Lightning_Risk,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During GNSS multipath at 200 m AGL with 8 m/s wind, what ensures secure, stable flight under 50 m separation and 10-minute limit?","This is a night-time inspection mission in a volcanic zone with poor visibility and a risk of lightning. The UAV is a fuel-powered helicopter equipped with RGB and thermal cameras, LIDAR, radar, and full navigation sensors. It operates within an airspace bounded between 30 m and 600 m AGL, featuring a static no-fly zone and a moving restricted cylinder. The environment includes moderate wind from 240° at 8 m/s with gusts up to 4 m/s. A second UAV and a moving spherical obstacle create dynamic collision risks. The mission follows a corridor pattern with four waypoints and a 10-minute time limit. Communication experiences brief uplink/downlink losses at specific intervals. The UAV must maintain at least 50 m separation and 30 s time-to-collision threshold to avoid DAA breaches. GNSS multipath may occur near volcanic terrain, and operations are constrained by geofences and restricted zones. The UAV begins with full fuel and must manage energy efficiently while avoiding obstacles and maintaining safe flight parameters.",Switch to LIDAR-aided inertial navigation with encrypted command authentication,Rely solely on GNSS with periodic radar updates,Disable encryption to reduce communication latency,Use unverified uplink commands to adjust waypoints quickly,Maintain course using only thermal camera input,Descend below 30 m to avoid restricted cylinder,Transmit raw sensor data over unauthenticated link,"[""Switch to LIDAR-aided inertial navigation with encrypted command authentication"", ""Rely solely on GNSS with periodic radar updates"", ""Disable encryption to reduce communication latency"", ""Use unverified uplink commands to adjust waypoints quickly"", ""Maintain course using only thermal camera input"", ""Descend below 30 m to avoid restricted cylinder"", ""Transmit raw sensor data over unauthenticated link""]","A ensures resilience by fusing trusted sensors during GNSS degradation and enforcing command integrity. Encrypted authentication prevents spoofing while maintaining control stability. Other options expose the UAV to spoofing, loss of separation, or geofence violations under adversarial or fault conditions." 2025-11-01T18:03:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Training_in_Warehouse_with_Icing_134f878c93a0_mcq.json,uavbench-mcq-v1,Night_Ops_Training_in_Warehouse_with_Icing,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"During night ops in a 50x30m warehouse, how should the convertiplane respond when a dynamic no-fly cylinder enters the corridor near Waypoint 3 with 40% battery?","Night operations training mission inside a warehouse using a convertiplane UAV equipped with RGB and thermal cameras. The indoor airspace is confined to a 50x30 meter polygon with a maximum altitude of 15 meters AGL. Poor visibility and icing conditions are present, with a simulated icing event occurring mid-mission. The UAV relies on battery power and has a hybrid VTOL-fixed-wing design, enabling vertical takeoff and efficient forward flight. Key sensors include GNSS, IMU, barometer, lidar, and thermal camera, but GNSS multipath and electromagnetic interference degrade positioning accuracy. A static no-fly zone blocks the central area, and a dynamic no-fly cylinder moves through the space, requiring real-time avoidance. Another UAV and a moving spherical obstacle traverse the environment, enforcing strict separation requirements. The mission involves inspecting four waypoints in a corridor pattern, requiring precise navigation near obstacles. Communication experiences brief downlink losses, and the UAV must maintain runway-aligned takeoff and landing paths. Battery reserve is set to 30%, and mission success depends on avoiding collisions, geofence breaches, and maintaining minimum separation.",Ascend to 14m AGL for better GNSS reception and overfly the cylinder,"Hover at Waypoint 2 until the cylinder passes, then proceed directly to Waypoint 4",Descend to 3m AGL using lidar to skirt under the cylinder while maintaining thermal scan,Reverse course to exit the corridor and re-enter after the cylinder clears,Broadcast position hold to other UAV; coordinate synchronized lateral bypass,Accelerate to fixed-wing mode and cut through the cylinder’s predicted path,Switch to IMU-barometer dead reckoning and maintain original heading,"[""Ascend to 14m AGL for better GNSS reception and overfly the cylinder"", ""Hover at Waypoint 2 until the cylinder passes, then proceed directly to Waypoint 4"", ""Descend to 3m AGL using lidar to skirt under the cylinder while maintaining thermal scan"", ""Reverse course to exit the corridor and re-enter after the cylinder clears"", ""Broadcast position hold to other UAV; coordinate synchronized lateral bypass"", ""Accelerate to fixed-wing mode and cut through the cylinder’s predicted path"", ""Switch to IMU-barometer dead reckoning and maintain original heading""]",Coordinating a synchronized lateral bypass ensures both UAVs maintain situational awareness and avoid conflicting maneuvers. It preserves communication alignment and minimizes separation risk near the moving obstacle. This choice optimizes inter-agent timing and spatial deconfliction under degraded GNSS. 2025-11-01T18:03:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Training_in_Sandstorm_-_Solar_Wing_UAV_78c090e9d71e_mcq.json,uavbench-mcq-v1,Night_Ops_Training_in_Sandstorm_-_Solar_Wing_UAV,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During sandstorm with GNSS jamming and 14 m/s winds, how should the UAV maintain secure, stable flight within 10–300 m AGL?","Nighttime inspection mission near an airport perimeter with poor visibility due to a sandstorm. UAV is a solar-wing fixed-wing type equipped with radar, RGB and thermal cameras, and standard navigation sensors. Operating in low-altitude airspace between 10 and 300 meters AGL with a predefined polygonal geofence. Strong winds up to 14 m/s increase with altitude and shift direction, complicating flight control. A static no-fly zone and a moving no-fly zone challenge path planning and dynamic obstacle avoidance. GNSS signals suffer from multipath and jamming, and electromagnetic interference degrades sensor performance. Mission requires runway-aligned takeoff and landing, with a preferred landing site at the runway threshold. A single intruder UAV and a moving spherical obstacle create mid-air collision risks. Command uplink and downlink experience brief communication losses during the flight. Battery endurance is limited, requiring efficient routing to complete the 10-minute time-constrained mission.",Rely solely on encrypted GNSS for positioning,Use radar-thermal sensor fusion with authenticated command uplink,Disable encryption to reduce communication latency,Switch to open-loop control to avoid sensor spoofing,Trust GPS despite jamming to maintain navigation continuity,Transmit unencrypted telemetry to conserve battery,Override inertial feedback using spoofed RGB inputs,"[""Rely solely on encrypted GNSS for positioning"", ""Use radar-thermal sensor fusion with authenticated command uplink"", ""Disable encryption to reduce communication latency"", ""Switch to open-loop control to avoid sensor spoofing"", ""Trust GPS despite jamming to maintain navigation continuity"", ""Transmit unencrypted telemetry to conserve battery"", ""Override inertial feedback using spoofed RGB inputs""]",Sensor fusion ensures resilience against GNSS jamming and spoofing by cross-validating radar and thermal data. Authenticated uplinks prevent command injection during communication losses. This maintains control stability and cyber-physical integrity in degraded environments. 2025-11-01T18:03:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Solar_Wing_Training_in_Sandstorm_89f70c4face5_mcq.json,uavbench-mcq-v1,Night_Ops_Solar_Wing_Training_in_Sandstorm,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 140 seconds, winds at 150 m AGL reach 15 m/s with GNSS outage imminent. What should the UAV do?","Nighttime inspection mission conducted offshore near an industrial platform using a solar-powered fixed-wing UAV equipped with radar, RGB, and thermal cameras. The aircraft operates within a defined airspace between 10 and 150 meters AGL, bounded by a polygonal geofence and a central cylindrical no-fly zone around a critical structure. Winds increase with altitude, reaching 15 m/s at 200 meters, with a sandstorm reducing visibility and introducing particulate interference. The UAV must navigate through poor visibility and strong, gusting winds while avoiding a moving obstacle drifting eastward at 2 m/s. GNSS signals are degraded due to jamming at -75 dBm, with a planned 45-second GNSS outage mid-mission, requiring resilient navigation. Uplink communications are lost between 180 and 225 seconds, demanding autonomous operation during critical phases. The mission follows a corridor pattern across five waypoints, ending with a required runway-aligned landing approach. Electromagnetic interference and sandstorm conditions challenge sensor reliability, especially for GNSS and comms. The UAV carries a 1.2 kg payload and must maintain separation from another UAV flying through the airspace. Battery reserves are tightly managed under high drag and energy consumption due to wind and maneuvering.",Climb to 180 m AGL to reduce wind shear effects,Descend to 10 m AGL and proceed to next waypoint,Hold at 120 m AGL using radar for navigation,Divert immediately to runway-aligned approach path,Accelerate to 25 m/s to outrun the drifting obstacle,Turn east to follow obstacle and reassess position,Descend to 50 m AGL and switch to thermal waypoint tracking,"[""Climb to 180 m AGL to reduce wind shear effects"", ""Descend to 10 m AGL and proceed to next waypoint"", ""Hold at 120 m AGL using radar for navigation"", ""Divert immediately to runway-aligned approach path"", ""Accelerate to 25 m/s to outrun the drifting obstacle"", ""Turn east to follow obstacle and reassess position"", ""Descend to 50 m AGL and switch to thermal waypoint tracking""]","The UAV must remain within 10–150 m AGL; climbing above violates altitude limits. Descending to 10 m increases risk in poor visibility and sandstorm. Option C maintains safe altitude, uses resilient radar during GNSS outage, and preserves energy while ensuring obstacle separation." 2025-11-01T18:03:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Training_near_Offshore_Platform_under_Microburst_Risk_1cea9f12b047_mcq.json,uavbench-mcq-v1,Night_Ops_Training_near_Offshore_Platform_under_Microburst_Risk,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"At 80 m AGL, 15 m/s headwind shifts to 10 m/s tailwind with 20° downdraft. Battery at 35%. What immediate action maintains control and corridor position?","Night inspection mission near an offshore platform using a battery-powered quadrotor UAV equipped with RGB and thermal cameras, LiDAR, and full navigation suite. The operation occurs in offshore airspace with a maximum altitude of 120 meters AGL and a minimum of 10 meters. Winds are strong and variable, increasing with altitude, with a risk of microbursts and poor visibility. A stationary no-fly zone surrounds the platform center, and a moving no-fly cylinder drifts near the flight path. The UAV must complete a corridor inspection pattern while avoiding a moving obstacle and conflicting traffic approaching from outside the airspace. GNSS performance is degraded due to jamming and electromagnetic interference, with a simulated GNSS outage and motor failure during the mission. Communication suffers from intermittent downlink loss, affecting telemetry and payload transmission. Flight control is via discrete actions with strict separation and time-to-collision thresholds for collision avoidance. Battery reserve is set at 30%, and mission duration is constrained to 10 minutes. The scenario emphasizes low-visibility night operations, dynamic obstacles, sensor faults, and RF interference in a confined offshore environment.",Increase collective pitch to gain lift instantly,Reduce throttle to decrease induced drag,Bank left 30° to evade downdraft core,Pitch down to regain airspeed and prevent stall,Climb to 110 m AGL for smoother airflow,Hold attitude and increase motor thrust,Descend rapidly to 20 m AGL to escape shear,"[""Increase collective pitch to gain lift instantly"", ""Reduce throttle to decrease induced drag"", ""Bank left 30° to evade downdraft core"", ""Pitch down to regain airspeed and prevent stall"", ""Climb to 110 m AGL for smoother airflow"", ""Hold attitude and increase motor thrust"", ""Descend rapidly to 20 m AGL to escape shear""]","Pitching down reduces angle of attack, preventing stall due to sudden airspeed loss from wind reversal and downdraft. This maintains aerodynamic control and energy state. Increasing thrust alone (F) cannot compensate for stalled rotors if AoA exceeds critical limit." 2025-11-01T18:03:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Training_on_Offshore_Platform_with_Snowfall_acb1fd032895_mcq.json,uavbench-mcq-v1,Night_Ops_Training_on_Offshore_Platform_with_Snowfall,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During GNSS jamming and snowfall at 13 m/s winds, how should the UAV maintain position with LiDAR and encrypted C2 link?","Nighttime inspection mission using an octocopter UAV on an offshore platform in heavy snowfall and icing conditions. Operating in a confined offshore airspace with a maximum altitude of 150 m AGL and a minimum of 10 m AGL. Weather includes strong winds up to 13 m/s increasing with altitude, poor visibility, and active snowfall. The UAV is equipped with RGB and thermal cameras, LiDAR, and full sensor suite, supporting inspection tasks. Key constraints include a static no-fly zone near the platform center and a moving no-fly cylinder. GNSS signals are degraded due to multipath and intermittent jamming, with additional electromagnetic interference. A single traffic UAV approaches from outside the operational zone, requiring separation management. The mission involves a corridor pattern inspection with five waypoints and a loiter radius of 10 meters. Two faults are simulated: a 60-second icing event reducing performance and a 30-second GNSS jamming incident. Communication experiences brief downlink outages, and battery reserve is set to 30% for safe return.",Rely solely on GNSS despite jamming to maintain pattern,Switch to optical-flow and IMU with local LiDAR obstacle avoidance,Use unencrypted backup radio for higher bandwidth telemetry,Hover at loiter radius using only GPS with reduced update rate,Descend to 10 m AGL relying on thermal for navigation cues,Transmit raw sensor data without encryption to reduce latency,Activate open-loop control with preloaded commands ignoring faults,"[""Rely solely on GNSS despite jamming to maintain pattern"", ""Switch to optical-flow and IMU with local LiDAR obstacle avoidance"", ""Use unencrypted backup radio for higher bandwidth telemetry"", ""Hover at loiter radius using only GPS with reduced update rate"", ""Descend to 10 m AGL relying on thermal for navigation cues"", ""Transmit raw sensor data without encryption to reduce latency"", ""Activate open-loop control with preloaded commands ignoring faults""]","B ensures control stability by fusing IMU and optical-flow when GNSS is compromised, while LiDAR maintains spatial awareness in snow. It preserves encrypted communication, avoiding data integrity risks. Other choices violate cyber-physical security by relying on spoofable, unauthenticated, or unencrypted links during jamming and adverse weather." 2025-11-01T18:03:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_Training_on_Offshore_Platform_with_Thermal_Updrafts_f36bc21fc1b4_mcq.json,uavbench-mcq-v1,Night_Ops_Training_on_Offshore_Platform_with_Thermal_Updrafts,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"At 120m altitude near offshore platform, GNSS degraded and comms have brief downlink outages; what ensures resilient navigation and control?","Nighttime inspection mission near an offshore oil platform using a fuel-powered helicopter UAV. Operating in restricted offshore airspace with a maximum altitude of 300 meters AGL. Poor visibility conditions with moderate winds from the southwest and frequent gusts. Thermal updrafts present near platform structures, creating localized vertical air currents. The UAV is equipped with thermal and RGB cameras, LiDAR, and full sensor suite including GNSS and IMU. A static no-fly zone surrounds a central platform area, with an additional moving no-fly zone due to dynamic obstacles. GNSS signals are degraded due to multipath effects and electromagnetic interference from platform equipment. A second UAV is flying cross-traffic at 120 meters, requiring separation monitoring. Communication experiences brief downlink outages, reducing data link quality at critical phases. Mission requires precise navigation under energy constraints with limited battery reserve and strict time budget.",Rely solely on encrypted GNSS for position updates,Switch to IMU and LiDAR terrain matching with local obstacle avoidance,Increase control loop frequency using unverified sensor fusion,Transmit unencrypted telemetry to maintain ground link,Use predictive waypoint tracking ignoring real-time gust compensation,Authenticate commands but delay IMU-GPS sync for stability,Disable intrusion detection to reduce processing load,"[""Rely solely on encrypted GNSS for position updates"", ""Switch to IMU and LiDAR terrain matching with local obstacle avoidance"", ""Increase control loop frequency using unverified sensor fusion"", ""Transmit unencrypted telemetry to maintain ground link"", ""Use predictive waypoint tracking ignoring real-time gust compensation"", ""Authenticate commands but delay IMU-GPS sync for stability"", ""Disable intrusion detection to reduce processing load""]","B maintains navigation integrity by fusing trusted inertial and LiDAR data when GNSS is unreliable, ensuring control stability amid multipath and jamming. It avoids cyber vulnerabilities like unencrypted links or unverified data fusion while adapting to physical disturbances from gusts and updrafts. This approach supports fail-safe operation within the no-fly zones during communication outages." 2025-11-01T18:03:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Ops_VTOL_Training_in_Sandstorm_af7a0cd461ec_mcq.json,uavbench-mcq-v1,Night_Ops_VTOL_Training_in_Sandstorm,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"A tiltrotor UAV must survey a desert corridor at night within 600 s, avoiding a moving obstacle under 15 m/s winds and GNSS jamming.","Nighttime VTOL operations in a desert environment involve a tiltrotor UAV conducting a corridor survey mission. The airspace is restricted by static and moving no-fly zones, with a designated runway required for takeoff and landing. A sandstorm reduces visibility while strong winds up to 15 m/s increase with altitude, creating challenging flight conditions. The UAV is equipped with a full sensor suite including GNSS, LIDAR, radar, RGB and thermal cameras, but operates under GNSS multipath and electromagnetic interference. The mission includes three UAVs in a swarm formation, maintaining minimum 20-meter separation, with roles assigned for leader, follower, and relay. A dynamic no-fly zone and a moving obstacle drift through the area, requiring real-time avoidance. GNSS jamming and IMU bias faults are introduced during flight, compounded by intermittent uplink loss and poor signal strength. The UAV must complete its survey within 600 seconds while managing battery reserves and adhering to altitude and geofence constraints. Flight performance is further challenged by transitions between hover and forward flight, affected by wind shear and aerodynamic drag.","Climb to 120 m AGL, proceed direct to Waypoint 3","Descend to 30 m AGL, follow terrain contour eastward","Maintain 80 m AGL, delay turn until bearing 110°","Bank 45° left now, cut across dynamic no-fly zone","Accelerate to 25 m/s, fly straight through sandstorm","Hover for 40 s, wait for GNSS signal recovery","Pitch forward gradually, transition to forward flight at 60 m AGL","[""Climb to 120 m AGL, proceed direct to Waypoint 3"", ""Descend to 30 m AGL, follow terrain contour eastward"", ""Maintain 80 m AGL, delay turn until bearing 110°"", ""Bank 45° left now, cut across dynamic no-fly zone"", ""Accelerate to 25 m/s, fly straight through sandstorm"", ""Hover for 40 s, wait for GNSS signal recovery"", ""Pitch forward gradually, transition to forward flight at 60 m AGL""]","Transitioning at 60 m AGL balances wind shear effects and obstacle clearance while conserving battery. It avoids GNSS-denied hover drift and maintains formation separation. Other options breach NFZ, waste time, or increase exposure to turbulence and jamming." 2025-11-01T18:03:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Snowfall_Coastal_Swarm_Training_c91470536a8e_mcq.json,uavbench-mcq-v1,Night_Snowfall_Coastal_Swarm_Training,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,D,False,"Swarm flies 800m x 600m grid at 10–120m AGL, 7.5 m/s wind, thermal/LiDAR active, GNSS jamming 60s. How to manage power and navigation under visibility and comms dropouts?","Nighttime coastal swarm mission in snowy conditions with poor visibility. Flight area is a 800m x 600m polygon with a cylindrical no-fly zone at the center. Five quadcopter drones conduct a grid survey between 10m and 120m AGL. UAVs carry RGB and thermal cameras, LiDAR, and standard navigation sensors. Wind from 240° at 7.5 m/s with gusts up to 4 m/s impacts flight stability. Swarm must avoid a moving spherical obstacle drifting west at 2 m/s. A second UAV crosses the airspace at low altitude on a fixed path. GNSS jamming occurs for 60 seconds, requiring resilient navigation. Communication dropouts occur twice, each lasting 20 seconds. Drones must maintain 15m inter-vehicle separation and avoid NFZ with 25m separation threshold.",Maximize sensor rates for full data capture throughout,"Disable LiDAR, use GPS-only during jamming",Ascend to 120m for better comms and coverage,Reduce camera resolution and cycle sensors off,"Fly constant speed, ignore gust compensation",Cluster drones to share navigation data frequently,Halt mission during communication dropouts,"[""Maximize sensor rates for full data capture throughout"", ""Disable LiDAR, use GPS-only during jamming"", ""Ascend to 120m for better comms and coverage"", ""Reduce camera resolution and cycle sensors off"", ""Fly constant speed, ignore gust compensation"", ""Cluster drones to share navigation data frequently"", ""Halt mission during communication dropouts""]","Reducing camera resolution and cycling sensors balances data quality with power conservation, critical under comms dropouts and GNSS outages. It preserves battery for adaptive routing around the moving obstacle and wind compensation, ensuring swarm cohesion and mission completion within endurance limits." 2025-11-01T18:03:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Solar_Wing_Inspection_at_Industrial_Plant_00352e914aa0_mcq.json,uavbench-mcq-v1,Night_Solar_Wing_Inspection_at_Industrial_Plant,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"Which action optimizes energy, avoids dynamic NFZs, and maintains separation at 400 s with wind from 240° at 6 m/s?","Nighttime inspection mission at an industrial plant using a solar-wing UAV equipped with RGB and thermal cameras. Flight occurs within a confined airspace bounded by a 20–120 m AGL altitude envelope and a rectangular geofence. Winds are from 240° at 6 m/s with 3 m/s gusts, under good visibility conditions. The UAV is a fixed-wing solar-powered type with a 12.5 kg mass, 650 Wh battery, and a 1.2 kg payload. Key constraints include a static no-fly zone centered at (100, 75) with a 20 m radius and vertical limits from 20–60 m AGL. A dynamic no-fly zone moves from (50, 30) with a 10 m radius between 25–80 m altitude at 2.5 m/s on a southwest heading. A moving spherical obstacle drifts westward at 1 m/s near the center of the inspection area. Another UAV enters from the east at 15 m/s, requiring separation assurance with a 25 m minimum distance threshold. Communication experiences two brief downlink loss windows at 120 s and 400 s into the mission. Mission must complete within 600 seconds, navigating a corridor inspection pattern while avoiding all obstacles and NFZs.",Climb to 110 m AGL to bypass moving UAV and obstacle,Descend to 18 m AGL to reduce wind exposure and save power,"Hold 90 m AGL, adjust heading to 300° for lateral separation",Reduce speed to 8 m/s to conserve energy and improve control,"Enter loiter at (80, 60) until dynamic NFZ clears inspection path",Accelerate to 18 m/s to finish corridor before second comms loss,"Fly 55 m AGL southwest at 12 m/s, aligning between NFZ layers","[""Climb to 110 m AGL to bypass moving UAV and obstacle"", ""Descend to 18 m AGL to reduce wind exposure and save power"", ""Hold 90 m AGL, adjust heading to 300° for lateral separation"", ""Reduce speed to 8 m/s to conserve energy and improve control"", ""Enter loiter at (80, 60) until dynamic NFZ clears inspection path"", ""Accelerate to 18 m/s to finish corridor before second comms loss"", ""Fly 55 m AGL southwest at 12 m/s, aligning between NFZ layers""]","Flying at 55 m AGL stays above the static NFZ (20–60 m) and below the dynamic NFZ (25–80 m), exploiting vertical separation. At 12 m/s, it balances energy use and progress, avoiding gust-induced instability from lower altitudes and ensuring traversal between conflicting zones. This path maintains lateral and vertical separation from the moving UAV and obstacle while staying within the 600 s mission window and communication constraints." 2025-11-01T18:03:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Solar_Wing_Inspection_in_Fog_b9f7a06298fe_mcq.json,uavbench-mcq-v1,Night_Solar_Wing_Inspection_in_Fog,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"Given GNSS jamming, fog, and a 10-minute endurance with 30% reserve, which navigation strategy ensures mission completion?","This is a night-time inspection mission at an industrial plant using a solar wing UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The UAV operates within a confined airspace bounded by a polygonal geofence, with a minimum altitude of 10 meters and a maximum of 120 meters AGL. Two no-fly zones are present: one static cylinder around the center and a dynamic one moving slowly through the area, requiring real-time avoidance. The mission follows a corridor pattern inspection route with four key waypoints, requiring runway-aligned takeoff and landing. Weather conditions include fog and poor visibility, with icing conditions present and a moderate wind of 6 m/s increasing with altitude, shifting direction from 240° to 260°. A thermal updraft near the plant provides potential lift, but GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference adds sensor risk. The UAV must avoid a moving obstacle near the center and maintain separation from another UAV flying through the airspace. An icing fault event occurs mid-mission, reducing performance for one minute, and brief communication dropouts are expected. The solar wing’s battery endurance is critical, with a 10-minute time budget and 30% reserve required, limiting hover and maneuvering. The mission emphasizes reliable navigation despite degraded GNSS, sensor resilience in fog and icing, and adherence to strict airspace and separation constraints.",Rely solely on encrypted GNSS with RTK correction,Switch to LiDAR-INS fusion with periodic visual updates,Use unencrypted telemetry for faster ground-control inputs,Hover until GNSS signal-to-noise ratio improves above 20 dB-Hz,Follow the thermal updraft using unverified IR-based altitude estimates,Disable geofence checks to reduce onboard processing load,Increase control loop frequency to 200 Hz using spoofed sensor data,"[""Rely solely on encrypted GNSS with RTK correction"", ""Switch to LiDAR-INS fusion with periodic visual updates"", ""Use unencrypted telemetry for faster ground-control inputs"", ""Hover until GNSS signal-to-noise ratio improves above 20 dB-Hz"", ""Follow the thermal updraft using unverified IR-based altitude estimates"", ""Disable geofence checks to reduce onboard processing load"", ""Increase control loop frequency to 200 Hz using spoofed sensor data""]","LiDAR-INS fusion provides resilient positioning during GNSS jamming and fog, preserving integrity and availability. Visual updates enhance accuracy without relying on vulnerable GNSS. This maintains control stability and adheres to airspace constraints despite sensor and environmental risks." 2025-11-01T18:03:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Solar_Wing_Urban_Canyon_Training_f991b35f7646_mcq.json,uavbench-mcq-v1,Night_Solar_Wing_Urban_Canyon_Training,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During a 1-minute icing event and GNSS jamming, how should the UAV maintain navigation integrity and control?","Nighttime urban canyon training mission using a solar-powered fixed-wing UAV equipped with RGB and thermal cameras, lidar, and full sensor suite. Operating in a dense city environment with narrow streets and tall buildings creating complex airflow and navigation challenges. Weather includes rain, icing conditions, and poor visibility, with strong winds increasing with altitude and variable direction. The UAV must conduct a corridor survey mission with five waypoints while avoiding static and dynamic no-fly zones. A moving obstacle drifts through the airspace, and another UAV flies through the area on a fixed trajectory. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference affects sensor reliability. The UAV experiences a significant icing event mid-mission, reducing aerodynamic efficiency for one minute. Brief communication dropouts occur at two intervals, potentially disrupting command and telemetry links. The flight is constrained by strict altitude limits, a predefined geofence, and mandatory runway-aligned takeoff and landing. Battery reserves must be carefully managed due to high energy demands in windy, turbulent urban conditions.",Switch to lidar-aided INS with encrypted command authentication,Rely solely on GPS with signal amplification,Disable encryption to reduce communication latency,Hover in place using thermal camera stabilization,Follow last known GNSS course without correction,Transmit unencrypted telemetry for faster updates,Use open Wi-Fi for command recovery,"[""Switch to lidar-aided INS with encrypted command authentication"", ""Rely solely on GPS with signal amplification"", ""Disable encryption to reduce communication latency"", ""Hover in place using thermal camera stabilization"", ""Follow last known GNSS course without correction"", ""Transmit unencrypted telemetry for faster updates"", ""Use open Wi-Fi for command recovery""]","Encrypted commands ensure cyber integrity while lidar-aided inertial navigation compensates for GNSS jamming and icing-induced control degradation. This choice maintains secure, stable control using trusted sensor fusion without relying on compromised signals. Other options expose the UAV to spoofing, eavesdropping, or physical instability." 2025-11-01T18:03:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Solar_Wing_Inspection_in_Icing_Offshore_25e77b3a01f5_mcq.json,uavbench-mcq-v1,Night_Solar_Wing_Inspection_in_Icing_Offshore,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 200 seconds, icing reduces performance; UAV at 60 m altitude, 15 m/s winds, 30% battery reserve, GNSS degraded. What action maintains safety and mission success?","Nighttime offshore inspection mission using a solar wing UAV equipped with RGB and thermal cameras, plus radar. Flight occurs near an offshore platform with icing conditions and poor visibility. Wind increases with altitude, reaching 15 m/s at 200 meters, and shifts direction from 240° to 260°. The UAV must navigate around a static no-fly zone over the platform and avoid a moving no-fly zone drifting southwest. GNSS signals are degraded due to multipath, jamming at -75 dBm, and electromagnetic interference. A single intruder UAV and a moving spherical obstacle challenge detect-and-avoid systems. The mission follows a corridor pattern at 60 meters altitude, requiring runway-assisted takeoff and landing. Battery reserve is set to 30%, with energy consumption impacted by drag and maneuvering in strong winds. An icing fault event occurs at 200 seconds, reducing performance for one minute. UAV must maintain separation of at least 50 meters from traffic and obstacles, with comms experiencing brief dropouts.",Climb to 100 m to reduce wind shear and avoid moving obstacle,Descend to 40 m to minimize drag and conserve battery,"Hold altitude, reduce speed to maintain control in icing",Turn east to exit corridor and avoid intruder UAV,Increase speed to escape icing zone quickly,Circle at current altitude to await GNSS signal recovery,"Follow corridor at 60 m, adjust thrust and attitude for wind","[""Climb to 100 m to reduce wind shear and avoid moving obstacle"", ""Descend to 40 m to minimize drag and conserve battery"", ""Hold altitude, reduce speed to maintain control in icing"", ""Turn east to exit corridor and avoid intruder UAV"", ""Increase speed to escape icing zone quickly"", ""Circle at current altitude to await GNSS signal recovery"", ""Follow corridor at 60 m, adjust thrust and attitude for wind""]","Maintaining 60 m ensures corridor compliance and avoids low-altitude turbulence and visibility risks. Adjusting thrust and attitude balances aerodynamic stability, energy use, and obstacle separation under GNSS degradation. Other options increase risk by altering altitude, extending exposure, or wasting energy." 2025-11-01T18:03:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_Solar_Wing_Training_in_Hot_Rural_Conditions_2aed8b9a39f8_mcq.json,uavbench-mcq-v1,Night_Solar_Wing_Training_in_Hot_Rural_Conditions,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,G,False,"At 300m AGL, 15 m/s wind, and brief comms dropouts at 120s and 400s, which protocol best ensures secure, stable control during survey?","This is a night-time solar-powered fixed-wing UAV training mission in a rural area. The UAV conducts a grid survey with a thermal and RGB camera payload. Operations occur between 10 and 450 meters AGL within a defined rectangular airspace. A static no-fly zone and a moving obstacle restrict flight paths. Another UAV moves through the airspace on a conflicting route, requiring separation monitoring. Wind increases with altitude, reaching 15 m/s at 300 meters, and shifts direction from 210° to 245°. Thermal updrafts near the center of the area provide potential lift. Electromagnetic interference is present, and GNSS is generally reliable with no multipath issues. The mission requires runway-aligned takeoff and landing, with comms dropouts occurring briefly at 120 and 400 seconds.",Use unencrypted UDP for low-latency camera streaming,Authenticate commands via TLS but disable replay protection,Switch to pre-programmed hold pattern on comms loss,Rely solely on GNSS with no inertial sensor fusion,Transmit control signals on open 2.4 GHz without frequency hopping,Disable intrusion detection to reduce processor load,"Employ encrypted, authenticated bidirectional links with inertial fallback","[""Use unencrypted UDP for low-latency camera streaming"", ""Authenticate commands via TLS but disable replay protection"", ""Switch to pre-programmed hold pattern on comms loss"", ""Rely solely on GNSS with no inertial sensor fusion"", ""Transmit control signals on open 2.4 GHz without frequency hopping"", ""Disable intrusion detection to reduce processor load"", ""Employ encrypted, authenticated bidirectional links with inertial fallback""]",Encrypted and authenticated links protect command integrity during electromagnetic interference and potential spoofing. Inertial fallback maintains control stability when GNSS or comms are disrupted. This option ensures availability and resilience during dropouts and wind disturbances. 2025-11-01T18:03:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_VTOL_Inspection_along_Powerline_Corridor_under_Dust_Conditions_c9bb44b7545f_mcq.json,uavbench-mcq-v1,Night_VTOL_Inspection_along_Powerline_Corridor_under_Dust_Conditions,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which configuration best ensures inspection completion at 120m with 1.2kg payload, dust, and GNSS jamming at 240s?","This is a night-time VTOL inspection mission along a powerline corridor in dusty and sandy conditions with poor visibility. The UAV operates in a designated airspace with a minimum altitude of 10 meters and a maximum of 150 meters AGL. Winds are moderate at ground level but increase with altitude, reaching up to 11 m/s at 120 meters, with shifting direction. The UAV is a tiltrotor VTOL equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It carries a 1.2 kg payload and relies solely on battery power, requiring careful energy management. Key constraints include static and moving no-fly zones, a dynamic obstacle, and a required runway landing. GNSS multipath and electromagnetic interference degrade navigation accuracy, with a planned GNSS jamming fault at 240 seconds. The mission must avoid other traffic and maintain separation using DAA thresholds. Dust and sand reduce visibility and may affect sensor performance and propulsion. The UAV must complete its inspection within 600 seconds despite faults and environmental challenges.",Max sensor suite with active cooling,Reduced camera resolution to save power,Higher cruise altitude to avoid dust,Predictive navigation using LiDAR and IMU fusion,Frequent hovering for thermal image clarity,GNSS-dependent routing with periodic updates,Ballistic descent during jamming to save energy,"[""Max sensor suite with active cooling"", ""Reduced camera resolution to save power"", ""Higher cruise altitude to avoid dust"", ""Predictive navigation using LiDAR and IMU fusion"", ""Frequent hovering for thermal image clarity"", ""GNSS-dependent routing with periodic updates"", ""Ballistic descent during jamming to save energy""]","LiDAR-IMU fusion provides robust navigation during GNSS jamming and dusty conditions, maintaining accuracy. It balances energy use and obstacle avoidance at 120m, where winds are strong but visibility is relatively better. Other options increase risk during jamming, waste energy, or degrade mission-critical sensing." 2025-11-01T18:03:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_VTOL_Urban_Training_in_Lightning_Risk_2a755a45ecbb_mcq.json,uavbench-mcq-v1,Night_VTOL_Urban_Training_in_Lightning_Risk,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"At 310s, winds 7.5 m/s from 240°, UAV must inspect WP3 at 110m AGL before GNSS jamming at 320s. What action ensures safety and mission success?","Nighttime VTOL urban training mission in a city canyon environment with lightning risk and poor visibility. Operating altitude between 10 and 120 meters AGL within a defined polygon geofence. Weather includes 7.5 m/s winds from 240°, increasing with altitude, and thermal updrafts near buildings. UAV is a tiltrotor VTOL with RGB and thermal cameras, LiDAR, and full suite of navigation sensors. Mission involves inspecting four waypoints in a corridor pattern, requiring runway takeoff and landing. A static no-fly zone blocks the center of the area, with a moving no-fly cylinder drifting through the airspace. GNSS multipath and jamming are present, with a simulated GNSS jamming fault at 320 seconds and IMU bias at 480 seconds. One intruder UAV crosses the path, and a moving spherical obstacle drifts through the inspection route. Communication dropouts occur briefly at 200 and 550 seconds, testing link resilience. Battery reserve is set to 30%, and safe separation from obstacles and traffic is critical throughout.",Climb to 120m AGL and proceed directly to WP3,"Descend to 80m AGL, use LiDAR for waypoint approach",Accelerate to reach WP3 at 110m before 320s,Divert immediately to runway avoiding jamming zone,Hold at 100m AGL using thermal camera for positioning,Proceed to WP3 at 110m relying on GNSS until failure,Reduce speed to conserve battery before jamming event,"[""Climb to 120m AGL and proceed directly to WP3"", ""Descend to 80m AGL, use LiDAR for waypoint approach"", ""Accelerate to reach WP3 at 110m before 320s"", ""Divert immediately to runway avoiding jamming zone"", ""Hold at 100m AGL using thermal camera for positioning"", ""Proceed to WP3 at 110m relying on GNSS until failure"", ""Reduce speed to conserve battery before jamming event""]","Descending to 80m AGL reduces exposure to high winds and GNSS multipath near 110–120m while staying above minimum safe altitude. LiDAR use mitigates positioning risk during impending GNSS jamming at 320s. This balances obstacle separation, sensor resilience, and mission continuity better than higher altitudes or GNSS-dependent paths." 2025-11-01T18:03:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Octocopter_Lost_Link_RTL_at_Airport_Perimeter_with_Gusts_48b365991bcd_mcq.json,uavbench-mcq-v1,Octocopter_Lost_Link_RTL_at_Airport_Perimeter_with_Gusts,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"At 400 s, with 7.5 m/s wind from 240° and 25 m separation required, how should the UAV respond to lost link while ensuring RTL and DAA compliance?","The mission is a UAV inspection flight operating near an airport perimeter. The octocopter is equipped with an RGB camera and standard navigation sensors, powered by a 4800 Wh battery. It operates within a defined airspace polygon with a maximum altitude of 120 m AGL and a geofenced no-fly zone over a 20 m radius cylinder near the center. Weather includes a 7.5 m/s wind from 240° with 4.0 m/s gusts, posing challenges for stability and control. The UAV follows a corridor inspection pattern with four waypoints at 30 m altitude and must complete within 600 seconds. A lost link fault is triggered at 400 seconds, lasting one minute, forcing the UAV into return-to-launch (RTL) mode. GNSS multipath effects are a concern due to proximity to airport infrastructure, and RF interference causes a temporary comms loss during the fault. Air traffic includes a crossing UAV approaching from the north, requiring DAA compliance with a 25 m separation threshold. The scenario tests fault resilience, wind handling, and navigation accuracy in a complex, constrained environment.",Climb to 110 m for clear RF line-of-sight and faster RTL,Descend to 20 m to reduce wind exposure and glide back,Hold position at 30 m until comms restore after 60 s,Turn east immediately to avoid crossing UAV and head home,Proceed to next waypoint to finish inspection before RTL,"Initiate RTL at 30 m, maintaining corridor and separation","Accelerate straight back at max speed, ignoring separation","[""Climb to 110 m for clear RF line-of-sight and faster RTL"", ""Descend to 20 m to reduce wind exposure and glide back"", ""Hold position at 30 m until comms restore after 60 s"", ""Turn east immediately to avoid crossing UAV and head home"", ""Proceed to next waypoint to finish inspection before RTL"", ""Initiate RTL at 30 m, maintaining corridor and separation"", ""Accelerate straight back at max speed, ignoring separation""]","F balances safety, navigation, and energy: it initiates RTL at the safe 30 m altitude, maintains separation from the crossing UAV, and avoids wind-induced instability at lower or higher altitudes. Deviating from the flight corridor or altering altitude unnecessarily risks GNSS multipath, energy waste, or collision, while delaying RTL violates fault protocols." 2025-11-01T18:03:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Night_VTOL_Training_in_Volcanic_Zone_82b08431b18e_mcq.json,uavbench-mcq-v1,Night_VTOL_Training_in_Volcanic_Zone,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 90m AGL, 260° wind at 10 m/s with 3.5 m/s gusts challenges fixed-wing transition near thermal updraft at (350,420).","Night VTOL training mission in a volcanic zone with good visibility and moderate winds increasing with altitude. UAV is a tiltrotor VTOL with thermal and RGB cameras, LiDAR, and full navigation sensors. Operating in restricted airspace with a fixed runway and multiple no-fly zones, including a moving exclusion cylinder. Mission involves a corridor survey with four waypoints up to 90m AGL, requiring transition to fixed-wing flight. Wind from 240° at 6 m/s at ground, shifting to 260° and 10 m/s at 200m, with gusts up to 3.5 m/s. Thermal updrafts present near (350,420) creating localized lift of 2 m/s. GNSS signals suffer from multipath and mild jamming at -95 dBm, with electromagnetic interference. A second UAV and a moving spherical obstacle challenge separation requirements. Communication experiences brief uplink/downlink losses at 120s and 400s with minimum RSSI at -88 dBm. Battery endurance is limited, requiring efficient routing to meet 10-minute time budget and return safely.",Climb to 110m to avoid updraft turbulence,Descend to 70m for smoother airflow and less wind,"Maintain 90m, align with 260° wind for stability",Turn east to use updraft for energy savings,Delay transition until wind gusts subside,Accelerate to 25 m/s to penetrate crosswind faster,Circle at 90m to await GNSS signal recovery,"[""Climb to 110m to avoid updraft turbulence"", ""Descend to 70m for smoother airflow and less wind"", ""Maintain 90m, align with 260° wind for stability"", ""Turn east to use updraft for energy savings"", ""Delay transition until wind gusts subside"", ""Accelerate to 25 m/s to penetrate crosswind faster"", ""Circle at 90m to await GNSS signal recovery""]","Maintaining 90m ensures mission altitude compliance and efficient transition within the 10-minute budget. Aligning with 260° wind maximizes aerodynamic stability and control in gusts while avoiding energy-intensive maneuvers. Other options either increase risk, waste energy, or violate timing and navigation constraints." 2025-11-01T18:03:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Octocopter_Powerline_Inspection_in_Cold_Weather_1b22021359df_mcq.json,uavbench-mcq-v1,Octocopter_Powerline_Inspection_in_Cold_Weather,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"An octocopter inspects powerlines at 120m AGL with 11.5 m/s SW winds, icing, and a 600-second limit. How should it respond to mid-mission icing and GNSS/comms interference?","This mission involves an octocopter conducting a powerline inspection in a defined corridor under cold weather conditions with icing risks. The operation takes place in a geofenced airspace with a minimum altitude of 10 meters and maximum of 120 meters AGL. Winds are strong, increasing with altitude up to 11.5 m/s, and coming from the southwest, with gusts adding complexity. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, carrying a 0.6 kg payload. Icing conditions are present, and a simulated icing event occurs mid-mission, reducing performance. GNSS signals face multipath interference and moderate jamming, with additional electromagnetic interference affecting comms. A static no-fly zone and a moving no-fly cylinder create dynamic constraints, while another UAV and a drifting spherical obstacle require avoidance. The flight must stay within a 600-second time budget, navigating around thermal updrafts near power infrastructure. Communication experiences a brief downlink loss window, and separation from traffic must exceed 25 meters or 20 seconds TTC to avoid DAA breaches.",Descend to 15m AGL immediately to reduce icing exposure,Climb to 125m AGL for better GNSS signal and wind clearance,"Hold at 120m AGL, continue mission, rely on inertial navigation","Divert directly to nearest runway, descend immediately","Reduce speed by 30%, turn northwest to avoid updrafts and obstacle","Accelerate through corridor, minimize time in icing above 100m AGL","Descend to 20m AGL, fly parallel to powerline, avoid NFZ and obstacle","[""Descend to 15m AGL immediately to reduce icing exposure"", ""Climb to 125m AGL for better GNSS signal and wind clearance"", ""Hold at 120m AGL, continue mission, rely on inertial navigation"", ""Divert directly to nearest runway, descend immediately"", ""Reduce speed by 30%, turn northwest to avoid updrafts and obstacle"", ""Accelerate through corridor, minimize time in icing above 100m AGL"", ""Descend to 20m AGL, fly parallel to powerline, avoid NFZ and obstacle""]","Descending to 20m AGL reduces icing risk and stays within 10–120m AGL limits while minimizing exposure to strong winds aloft. It enables terrain-relative navigation to mitigate GNSS multipath and jamming. Option G avoids the static and moving NFZs, maintains safe separation, and conserves energy for the 600-second budget, unlike higher-risk climbs or inefficient holds." 2025-11-01T18:03:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Glider_Emergency_Landing_in_Volcanic_Fog_342afb7d42e7_mcq.json,uavbench-mcq-v1,Glider_Emergency_Landing_in_Volcanic_Fog,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,D,D,True,"At 120s, icing reduces lift for 60s while a head-on UAV approaches at 18 m/s—how to balance collision avoidance and energy use?","Mission is search and rescue using a battery-powered glider in a volcanic zone with poor visibility due to fog and icing conditions. The UAV operates between 10 and 300 meters AGL within a polygonal geofenced area, avoiding static and moving no-fly zones. Weather includes strong winds up to 9.5 m/s, shifting direction with altitude, and hazardous thermal plumes near coordinates (750, 300). The glider carries an RGB camera payload for visual search but lacks thermal or radar sensors, limiting detection in fog. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference degrades comms reliability. An icing event occurs at 120 seconds, reducing aerodynamic performance for one minute, increasing stall risk. A dynamic no-fly zone moves northwest, requiring real-time path adaptation to maintain separation. Another UAV traffic agent approaches head-on at 18 m/s, demanding collision avoidance within 25-meter separation thresholds. Two emergency landing sites are available, though comms dropouts between 300–310s and 450–465s may delay command execution. The mission must complete within 600 seconds, navigating wind shear, sensor limitations, and power constraints to reach a safe landing zone.",Climb rapidly to avoid both threats using full control power,Turn sharply toward the thermal plume to exploit rising air,Descend slowly into stronger winds to reduce stall risk,"Execute shallow bank turn, minimizing drag and power use",Deploy camera at max resolution to detect the approaching UAV,Hold course and increase comms transmission to request help,Circle near geofence edge to wait out icing and traffic,"[""Climb rapidly to avoid both threats using full control power"", ""Turn sharply toward the thermal plume to exploit rising air"", ""Descend slowly into stronger winds to reduce stall risk"", ""Execute shallow bank turn, minimizing drag and power use"", ""Deploy camera at max resolution to detect the approaching UAV"", ""Hold course and increase comms transmission to request help"", ""Circle near geofence edge to wait out icing and traffic""]","A shallow turn minimizes energy use and avoids excessive lift demand during degraded aerodynamics. It ensures separation without risking stall or overusing battery. Other options increase drag, exposure, or power draw beyond sustainable limits." 2025-11-01T18:03:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Octocopter_Wind_Farm_Thermal_Mapping_32cb365f4845_mcq.json,uavbench-mcq-v1,Octocopter_Wind_Farm_Thermal_Mapping,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 30 m AGL, moderate 7.5 m/s winds, and 10-minute endurance, how should the UAV respond to an intruder at 12 m/s westward?","This mission involves an octocopter conducting thermal mapping within a wind farm located in a defined rectangular airspace. The UAV is equipped with both RGB and thermal cameras for data collection. Flight occurs under good visibility with moderate winds from 240 degrees at 7.5 m/s, including 4 m/s gusts and natural thermal updrafts enhancing lift in specific zones. The octocopter has a battery capacity of 450 Wh and carries a 1.2 kg payload with moderate drag. A cylindrical no-fly zone centered at (500, 300) restricts access between 15–110 m altitude with a 60 m radius. The UAV must maintain separation of at least 25 meters from other traffic, with a time-to-closest-approach threshold of 15 seconds. A single intruder UAV moves westward at 12 m/s, and a moving spherical obstacle drifts left at 2 m/s near the wind turbines. The flight operates between 10–120 m AGL, following a grid pattern at 30 m altitude with a 10-minute time budget. GNSS signals may experience multipath effects due to turbine structures, and the UAV must return to its spawn point for landing. Mission success depends on completing the mapping route without collisions, geofence breaches, or violating altitude and separation constraints.",Climb to 115 m AGL to avoid intruder and maintain grid,"Descend to 10 m AGL, continue grid, and monitor separation",Hold position until intruder passes within 15 seconds,Divert east at 8 m/s to bypass intruder by 30 m,Accelerate west to match speed and reduce closure rate,Abort mission and return directly to spawn point,"Turn north, climb to 100 m, then resume grid after 90 s","[""Climb to 115 m AGL to avoid intruder and maintain grid"", ""Descend to 10 m AGL, continue grid, and monitor separation"", ""Hold position until intruder passes within 15 seconds"", ""Divert east at 8 m/s to bypass intruder by 30 m"", ""Accelerate west to match speed and reduce closure rate"", ""Abort mission and return directly to spawn point"", ""Turn north, climb to 100 m, then resume grid after 90 s""]","The UAV must maintain 25 m separation and stay within 10–120 m AGL; option D achieves lateral separation without violating altitude or endurance limits. Other options either breach vertical limits, increase multipath risk near turbines, or fail to ensure safe separation within time budget." 2025-11-01T18:03:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Octocopter_Swarm_Coordination_in_Suburban_Area_with_Strong_Crosswind_08973d8fa9eb_mcq.json,uavbench-mcq-v1,Octocopter_Swarm_Coordination_in_Suburban_Area_with_Strong_Crosswind,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 125s, UAV-3 loses GNSS near (240, 90) with 8.5 m/s winds. What immediate action maintains safety and mission integrity?","Octocopter swarm conducts infrastructure inspection in a suburban environment. Mission involves coordinated flight through a defined corridor with multiple waypoints. Operating altitude ranges from 10 to 120 meters above ground level. Strong crosswinds at 8.5 m/s from 240 degrees challenge flight stability. Each UAV is equipped with GNSS, IMU, lidar, and RGB camera for navigation and data collection. A static no-fly zone restricts access near a critical facility at coordinates (250, 100). A dynamic no-fly zone moves slowly across the area, requiring real-time avoidance. Swarm consists of four UAVs with leader-follower-relay roles and minimum 15-meter separation. GNSS multipath effects are possible due to suburban building layouts. Communication experiences brief downlink outages between 120–135 and 400–410 seconds.",Continue using IMU and lidar to bypass no-fly zone,Descend to 10m to reduce wind impact and reassess,Transmit emergency override to enter static no-fly zone,Hold position at risk of collision with follower UAV,Abort mission and land in nearest residential yard,Switch to camera-based navigation toward critical facility,Initiate return-to-home via safest corridor immediately,"[""Continue using IMU and lidar to bypass no-fly zone"", ""Descend to 10m to reduce wind impact and reassess"", ""Transmit emergency override to enter static no-fly zone"", ""Hold position at risk of collision with follower UAV"", ""Abort mission and land in nearest residential yard"", ""Switch to camera-based navigation toward critical facility"", ""Initiate return-to-home via safest corridor immediately""]","UAV-3 must prioritize safety and legal compliance during GNSS loss. Continuing or descending increases collision or no-fly zone violation risks. G ensures controlled egress using available sensors, maintains separation, avoids populated areas, and respects airspace laws while minimizing overall risk." 2025-11-01T18:03:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Border_Patrol_with_Convertiplane_f8912e1b502d_mcq.json,uavbench-mcq-v1,Offshore_Border_Patrol_with_Convertiplane,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,F,False,"At 400s, comms fail and the scout UAV detects a drifting spherical obstacle 30m from the leader. Winds shift at 14.5 m/s. What immediate action ensures swarm safety?","This is an offshore border patrol mission using a convertiplane UAV operating near an offshore platform. The airspace is constrained between 10 and 150 meters AGL with a polygonal geofence and a central cylindrical no-fly zone. Winds are strong, increasing with altitude from 8.5 m/s at sea level to 14.5 m/s at 200 meters, with a shifting direction. The UAV carries a multi-sensor payload including radar, RGB and thermal cameras for surveillance. It must follow a corridor patrol pattern with five waypoints, requiring a runway takeoff and landing. The mission involves a three-UAV swarm with leader-follower-scout roles, maintaining at least 25 meters separation. Traffic includes another UAV moving through the area, and a moving spherical obstacle drifts eastward. GNSS signals are generally available, but communication links experience brief outages at 150 and 400 seconds. High temperatures and wind shear present environmental challenges, especially during transitions between hover and forward flight. The UAV must manage battery reserves carefully to complete the 600-second mission within energy limits.",Continue patrol; obstacle is outside geofence,Abort mission immediately; return to base,Adjust leader altitude to 160m to avoid obstacle,Deploy emergency parachute on scout UAV,Command follower to intercept the obstacle,Re-route swarm maintaining 25m separation and altitude limits,Request override from ground control despite comms loss,"[""Continue patrol; obstacle is outside geofence"", ""Abort mission immediately; return to base"", ""Adjust leader altitude to 160m to avoid obstacle"", ""Deploy emergency parachute on scout UAV"", ""Command follower to intercept the obstacle"", ""Re-route swarm maintaining 25m separation and altitude limits"", ""Request override from ground control despite comms loss""]","The obstacle poses a collision risk within operational airspace, and comms loss demands autonomous adherence to safety margins. F maintains separation, respects altitude constraints, and avoids escalation. Other options violate safety, legal altitude limits, or assume unavailable control." 2025-11-01T18:03:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Border_Patrol_under_Fog_29d54ab481ac_mcq.json,uavbench-mcq-v1,Offshore_Border_Patrol_under_Fog,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 300 seconds, fog reduces visibility to 50m; UAV is 70m from moving no-fly zone. Winds gust to 4.0 m/s. What action prioritizes safety and mission integrity?","This is an offshore border patrol mission using an octocopter UAV equipped with radar, RGB, and thermal cameras. The operation takes place near an offshore platform within a defined rectangular airspace. Poor visibility due to fog impacts situational awareness and sensor performance. Winds are moderate at 7.5 m/s from 240 degrees, with gusts up to 4.0 m/s, affecting flight stability. The UAV must maintain altitudes between 20 and 120 meters AGL while avoiding static and moving no-fly zones. A cylindrical no-fly zone is centered at (300, 250) with a 50-meter radius, and a second dynamic no-fly zone moves across the area. The UAV must also maintain a minimum separation of 25 meters from other traffic, with a time-to-closest-approach threshold of 20 seconds. The mission involves a corridor inspection pattern covering four waypoints at 60 meters altitude, with a 900-second time limit. Battery endurance is critical, with a reserve of 30% required for safe return, and the UAV spawns at (50, 50, 40) facing 90 degrees. GNSS multipath is not severe but caution is advised near structures due to potential signal degradation.",Ascend to 120m for better radar penetration and visibility,"Continue to next waypoint at 60m, relying on thermal camera",Descend to 20m to minimize wind exposure and conserve battery,Abort mission immediately due to visibility and proximity risk,"Fly directly to spawn point, ignoring corridor completion",Enter dynamic no-fly zone to cut 120 seconds off inspection time,Reduce altitude to 40m and slow speed to improve sensor focus,"[""Ascend to 120m for better radar penetration and visibility"", ""Continue to next waypoint at 60m, relying on thermal camera"", ""Descend to 20m to minimize wind exposure and conserve battery"", ""Abort mission immediately due to visibility and proximity risk"", ""Fly directly to spawn point, ignoring corridor completion"", ""Enter dynamic no-fly zone to cut 120 seconds off inspection time"", ""Reduce altitude to 40m and slow speed to improve sensor focus""]","Aborting prioritizes safety given poor visibility, proximity to a dynamic no-fly zone, and sensor degradation. Continuing risks collision or loss of control. Mission integrity is secondary to avoiding hazardous operations in degraded conditions." 2025-11-01T18:03:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Border_Patrol_with_Glider_UAV_4160fcc91b70_mcq.json,uavbench-mcq-v1,Offshore_Border_Patrol_with_Glider_UAV,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 240s, crosswinds hit 13.5 m/s and GNSS degrades; UAV drifts toward drifting no-fly zone. What action prioritizes safety and mission?","This scenario involves an offshore border patrol mission using a fixed-wing glider UAV equipped with radar, RGB and thermal cameras. The operation takes place in controlled offshore airspace near a platform, within a defined geofenced corridor between 50 and 300 meters AGL. Strong crosswinds up to 13.5 m/s increase with altitude and shift direction, creating challenging flight conditions. The UAV must navigate around a static no-fly zone centered near the patrol area and avoid a moving no-fly zone drifting west-southwest. A second UAV and a moving spherical obstacle add dynamic collision risks, requiring strict separation monitoring. GNSS signals suffer from multipath effects and moderate jamming, while electromagnetic interference may affect navigation reliability. The glider relies on battery power and must manage energy carefully during its 600-second survey mission with a corridor flight pattern. Thermal updrafts near the platform can be exploited for lift but require precise control. Communication links experience brief outages, and the UAV must reach an emergency landing site if needed.",Continue mission using thermal updrafts to conserve energy,"Abort immediately, glide to emergency landing site",Ascend to 300m to escape crosswind turbulence,"Rely solely on radar for navigation, ignore thermal sensors",Enter no-fly zone briefly to maintain patrol coverage,Switch to manual override despite communication outages,Deploy parachute over water to protect civilians,"[""Continue mission using thermal updrafts to conserve energy"", ""Abort immediately, glide to emergency landing site"", ""Ascend to 300m to escape crosswind turbulence"", ""Rely solely on radar for navigation, ignore thermal sensors"", ""Enter no-fly zone briefly to maintain patrol coverage"", ""Switch to manual override despite communication outages"", ""Deploy parachute over water to protect civilians""]","GNSS degradation and strong winds increase collision risk with dynamic obstacles and no-fly zones. Aborting ensures controlled landing within bounds, prioritizing airspace law and safety over mission continuity. Other options risk unlawful entry, loss of control, or uncoordinated actions during signal loss." 2025-11-01T18:03:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Convertiplane_Swarm_Inspection_991cdde5ccd0_mcq.json,uavbench-mcq-v1,Offshore_Convertiplane_Swarm_Inspection,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"During GNSS jamming at 75 dBm, with 30s duration and 80% severity, how should the swarm maintain formation and navigation using inter-agent ranging and LiDAR?","This mission involves a swarm of four convertiplane UAVs conducting an offshore platform inspection. The operation takes place in a defined offshore airspace with a maximum altitude of 300 m AGL and a geofenced area containing a central no-fly zone cylinder. Weather includes moderate wind at 7.5 m/s from 240° increasing with altitude, gusts up to 4 m/s, and a risk of lightning. Each UAV is equipped with RGB and thermal cameras, LiDAR, and full navigation sensors, powered solely by batteries with a 30% reserve requirement. The swarm must navigate a corridor inspection pattern while maintaining a minimum 25 m separation between units and avoiding a moving spherical obstacle. A second UAV is present in the airspace, requiring detect-and-avoid compliance with a 25 m separation threshold and 15 s time-to-closest-approach buffer. GNSS jamming occurs midway at -75 dBm with an 80% severity fault lasting 30 seconds, compounded by general electromagnetic interference. Communication includes a brief uplink/downlink loss window between 180–210 seconds, with minimum RSSI at -85 dBm. The mission requires runway-assisted takeoff and landing, with a strict 600-second time budget and predefined primary and emergency landing sites.",All UAVs descend to 100 m and switch to thermal-only navigation,UAVs use relative positioning via LiDAR and maintain 25 m spacing,"Each UAV assumes independent inspection, ignoring swarm separation","One UAV ascends to 300 m for better signal, others follow blindly",UAVs reduce speed by 50% and increase separation to 50 m,Swarm halts forward motion and hovers until GNSS recovers,UAVs abandon corridor pattern and converge on platform center,"[""All UAVs descend to 100 m and switch to thermal-only navigation"", ""UAVs use relative positioning via LiDAR and maintain 25 m spacing"", ""Each UAV assumes independent inspection, ignoring swarm separation"", ""One UAV ascends to 300 m for better signal, others follow blindly"", ""UAVs reduce speed by 50% and increase separation to 50 m"", ""Swarm halts forward motion and hovers until GNSS recovers"", ""UAVs abandon corridor pattern and converge on platform center""]","UAVs must preserve 25 m separation and corridor pattern during GNSS outage using onboard LiDAR and inter-agent ranging. Option B maintains formation integrity, enables cooperative localization, and ensures mission continuity without relying on GNSS. Other choices violate spacing, task allocation, or situational awareness constraints." 2025-11-01T18:03:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Bridge_Inspection_with_Convertiplane_UAV_3b204ec8ad2c_mcq.json,uavbench-mcq-v1,Offshore_Bridge_Inspection_with_Convertiplane_UAV,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"With 14 m/s winds aloft, 30% battery reserve, and a thermal plume no-fly zone, how should the UAV optimize its inspection path?","This scenario involves an offshore bridge inspection mission using a convertiplane UAV. The operation takes place near an offshore platform within a defined polygonal geofence. Weather conditions include strong winds up to 14 m/s increasing with altitude and gusts of 4.5 m/s, along with high temperatures. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates on battery power with a 30% reserve requirement and transitions between vertical and fixed-wing flight. Key constraints include a no-fly zone around a thermal plume and a moving no-fly cylinder near the flight path. GNSS signals are degraded by multipath effects and electromagnetic interference, with occasional comms loss. The UAV must maintain separation from dynamic obstacles and other traffic while navigating within strict altitude and airspace limits. Mission success depends on completing the inspection corridor within the time and energy budget. The UAV must land at a designated runway-like site after completing its route.",Climb to max altitude for smoother airflow and GNSS clarity,Fly low and fast through the plume to save energy,Delay transition to fixed-wing until past the moving cylinder,Reduce speed to maintain camera stability and obstacle separation,Increase altitude to avoid multipath but risk higher wind exposure,"Extend loiter time for thermal imaging, using 40% battery","Follow direct corridor at mid-altitude, ignoring gust compensation","[""Climb to max altitude for smoother airflow and GNSS clarity"", ""Fly low and fast through the plume to save energy"", ""Delay transition to fixed-wing until past the moving cylinder"", ""Reduce speed to maintain camera stability and obstacle separation"", ""Increase altitude to avoid multipath but risk higher wind exposure"", ""Extend loiter time for thermal imaging, using 40% battery"", ""Follow direct corridor at mid-altitude, ignoring gust compensation""]","Reducing speed balances aerodynamic control in gusts, ensures image quality, and maintains safe separation from dynamic obstacles. It conserves energy by minimizing corrective thrust while staying within GNSS-reliable altitudes. This choice respects battery reserve, navigation accuracy, and safety under degraded comms and wind shear." 2025-11-01T18:03:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Convoy_Escort_HAPS_Microburst_f86c22f63660_mcq.json,uavbench-mcq-v1,Offshore_Convoy_Escort_HAPS_Microburst,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"During GNSS jamming at 4500 m AGL with 18 m/s winds, what action prioritizes swarm integrity and mission safety?","High-altitude pseudo-satellite UAV conducts offshore convoy escort and inspection mission near an offshore platform. Operating in controlled offshore airspace with a vertical ceiling up to 4500 m AGL and minimum altitude of 300 m. Mission faces challenging weather including strong westerly winds up to 18 m/s at altitude and a high risk of microbursts. UAV is equipped with radar, RGB and thermal cameras for surveillance and navigation in degraded visual conditions. A dynamic no-fly zone moves through the airspace, representing a vessel or aircraft requiring separation. Swarm operation with three UAVs enforces a minimum 50-meter inter-vehicle separation for safety. GNSS performance is degraded due to jamming at -85 dBm, with a planned GNSS jamming fault event lasting 45 seconds. Icing conditions are expected at altitude, with a moderate-severity icing event simulated for 60 seconds. Wind shear and thermal plumes create turbulence, especially near 1000–3000 m, affecting flight stability. Mission requires strict adherence to time and spatial constraints, with limited communication windows and fault resilience testing.",Descend below 300 m to regain signal despite airspace violation,Maintain altitude and rely solely on inertial navigation for 45 seconds,Disband swarm to reduce collision risk during navigation failure,Emerge from controlled airspace to avoid dynamic no-fly zone,Increase inter-vehicle separation to 100 m using radar guidance,Abort mission immediately due to icing and jamming overlap,Activate thermal plume avoidance while holding formation with sensor fusion,"[""Descend below 300 m to regain signal despite airspace violation"", ""Maintain altitude and rely solely on inertial navigation for 45 seconds"", ""Disband swarm to reduce collision risk during navigation failure"", ""Emerge from controlled airspace to avoid dynamic no-fly zone"", ""Increase inter-vehicle separation to 100 m using radar guidance"", ""Abort mission immediately due to icing and jamming overlap"", ""Activate thermal plume avoidance while holding formation with sensor fusion""]","Option G maintains ethical and operational safety by preserving swarm integrity and situational awareness through sensor fusion, avoiding collisions and airspace breaches. It respects mission constraints without endangering other assets during GNSS outage. Other options violate altitude rules, increase risk, or abandon time-critical surveillance near the offshore platform." 2025-11-01T18:03:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Convoy_Escort_with_Glider_UAV_26a0e5cd35c7_mcq.json,uavbench-mcq-v1,Offshore_Convoy_Escort_with_Glider_UAV,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 250 m AGL with 13.5 m/s crosswind, what adjustment maintains lift and control without exceeding stall angle?","This mission involves a glider UAV conducting an offshore convoy inspection near an offshore platform. The UAV operates within a defined polygonal airspace between 30 and 300 meters AGL, avoiding static and moving no-fly zones. Strong crosswinds up to 13.5 m/s are present at higher altitudes, increasing with elevation and shifting direction. The UAV is equipped with radar and an RGB camera for payload operations, relying on battery power with a 30% reserve requirement. GNSS signals are degraded due to multipath effects and -85 dBm jamming, compounded by electromagnetic interference. A dynamic no-fly zone moves with the convoy, requiring real-time path adjustments, while a thermal plume offers potential lift. The UAV must maintain separation from other traffic and a moving spherical obstacle, with DAA thresholds set at 50 meters and 30 seconds TTC. Communication experiences brief uplink/downlink outages, and signal strength may drop to -92 dBm. The mission requires timely waypoint completion within 600 seconds while avoiding stalls, geofence breaches, and collisions.",Increase airspeed to 22 m/s and bank 30° into wind,Reduce angle of attack to 5° and descend rapidly,Extend flaps fully and reduce airspeed to 14 m/s,Maintain 18 m/s with 10° nose-up and crab angle,Turn 90° downwind and increase throttle to max,Hold level flight at 16 m/s with zero crab,Pitch up 15° while holding 17 m/s in crosswind,"[""Increase airspeed to 22 m/s and bank 30° into wind"", ""Reduce angle of attack to 5° and descend rapidly"", ""Extend flaps fully and reduce airspeed to 14 m/s"", ""Maintain 18 m/s with 10° nose-up and crab angle"", ""Turn 90° downwind and increase throttle to max"", ""Hold level flight at 16 m/s with zero crab"", ""Pitch up 15° while holding 17 m/s in crosswind""]","Increasing airspeed to 22 m/s enhances lift and control authority in strong crosswinds. Banking 30° into the wind counters drift while maintaining coordinated flight. This balances lift, drag, and side forces, avoiding stall and ensuring geofence compliance." 2025-11-01T18:03:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Convoy_Escort_HAPS_Rain_e031649e3cfe_mcq.json,uavbench-mcq-v1,Offshore_Convoy_Escort_HAPS_Rain,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 3,800 m AGL, 18 m/s westerly winds and icing reduce lift; energy at 42%. How should the lead UAV respond?","This mission involves a high-altitude pseudo-satellite (HAPS) UAV conducting a convoy escort over an offshore platform. The operation takes place in controlled offshore airspace with a vertical ceiling from 1,000 to 4,500 meters AGL. Weather conditions include moderate rain, poor visibility, icing risk, and increasing winds aloft up to 18 m/s from the west. The UAV is battery-powered, equipped with radar, RGB and thermal cameras, and designed for long-endurance flight with efficient aerodynamics. It operates as part of a three-UAV swarm, maintaining minimum 50-meter separation between units. A static no-fly zone and a moving restricted zone require real-time path adjustments. GNSS signals are degraded (-85 dBm jamming) with electromagnetic interference, increasing reliance on inertial navigation. The UAV must contend with wind shear and thermal updrafts while avoiding dynamic obstacles and other traffic. An icing event occurs mid-mission, reducing performance for one minute, and brief comms dropouts challenge command reliability. The mission concludes with a required runway landing approach despite adverse weather and energy constraints.","Descend to 2,000 m to escape icing and save power",Increase speed to 15% above cruise to outrun shear,Trim angle of attack to maximize lift despite ice accretion,"Climb to 4,400 m for smoother air, accepting higher drag",Bank 30° toward convoy to maintain visual with GPS dropout,"Reduce throttle to ECO mode, risking separation loss",Adjust pitch and power to maintain altitude and swarm position,"[""Descend to 2,000 m to escape icing and save power"", ""Increase speed to 15% above cruise to outrun shear"", ""Trim angle of attack to maximize lift despite ice accretion"", ""Climb to 4,400 m for smoother air, accepting higher drag"", ""Bank 30° toward convoy to maintain visual with GPS dropout"", ""Reduce throttle to ECO mode, risking separation loss"", ""Adjust pitch and power to maintain altitude and swarm position""]","Option G balances aerodynamic degradation from icing and wind shear with energy conservation and swarm coordination. Maintaining altitude avoids violating vertical airspace limits and ensures sensor coverage, while active pitch-power control compensates for transient lift loss without increasing separation risk or energy overuse. Other options either compromise safety, exceed energy budgets, or disrupt formation integrity under GNSS degradation." 2025-11-01T18:03:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Corridor_Inspection_with_Heavy_Lift_UAV_474cc0e71576_mcq.json,uavbench-mcq-v1,Offshore_Corridor_Inspection_with_Heavy_Lift_UAV,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,"Which UAV configuration best balances 55 kg mass, 12,000 Wh battery, and dynamic obstacle avoidance in 6 m/s wind?","This mission involves an offshore corridor inspection using a heavy-lift UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The flight occurs in an offshore platform airspace with a defined polygon geofence and a cylindrical no-fly zone around a central structure. Weather conditions include a 6 m/s westerly wind with 3.5 m/s gusts, but visibility is good and no adverse phenomena are present. The UAV has a total mass of 55 kg, including a 10 kg payload, and relies on battery power with a 12,000 Wh capacity and 30% reserve. The flight corridor spans from 10 to 120 meters AGL, with planned waypoints along a linear inspection path and a preferred landing site at the far end. A moving spherical obstacle drifts southward through the area, requiring dynamic avoidance. Another UAV is present in the airspace, traveling on a conflicting heading, necessitating separation monitoring with a 25-meter threshold. The UAV must maintain safe distances to avoid DAA breaches, with TTC警戒 set at 15 seconds. GNSS signals may suffer multipath effects near platform structures, though comms links remain stable. The mission must be completed within 600 seconds while avoiding geofence violations, altitude deviations, and collisions.",Fixed-pitch rotor; low power use but poor wind resilience,Ducted fan; high thrust but limited endurance under 55 kg,Hybrid VTOL; complex mechanics increase failure risk offshore,High-disc-loading rotors; resists gusts but drains battery faster,Redundant dual-battery; adds weight beyond 55 kg limit,Lightweight frame; saves energy but compromises payload stability,Optimized multirotor with adaptive control; efficient in wind and payload,"[""Fixed-pitch rotor; low power use but poor wind resilience"", ""Ducted fan; high thrust but limited endurance under 55 kg"", ""Hybrid VTOL; complex mechanics increase failure risk offshore"", ""High-disc-loading rotors; resists gusts but drains battery faster"", ""Redundant dual-battery; adds weight beyond 55 kg limit"", ""Lightweight frame; saves energy but compromises payload stability"", ""Optimized multirotor with adaptive control; efficient in wind and payload""]","Option G maintains energy efficiency and control in 6 m/s wind while handling 10 kg payload. It avoids mass penalties and supports dynamic obstacle avoidance. Other options sacrifice endurance, stability, or exceed weight limits under mission conditions." 2025-11-01T18:03:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Fixed-Wing_Loiter_with_Lightning_Risk_33a44b37ccbc_mcq.json,uavbench-mcq-v1,Offshore_Fixed-Wing_Loiter_with_Lightning_Risk,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best handles 8 m/s winds, GNSS jamming from 290–370 s, and 50 m obstacle separation?","This is a fixed-wing UAV inspection mission conducted offshore near an oil platform. The aircraft operates within a defined airspace between 30 and 150 meters AGL. Strong westerly winds at 8 m/s with gusts up to 4 m/s are present, along with a lightning risk. The UAV is equipped with radar, RGB camera, and standard navigation sensors but no thermal imaging. A no-fly zone cylinder is located in the center of the operational area, requiring careful flight path planning. The mission involves loitering in an orbit pattern around four waypoints for up to 600 seconds. There is another UAV and a moving spherical obstacle in the airspace, requiring separation of at least 50 meters. GNSS jamming is expected between 290 and 370 seconds, degrading positioning accuracy. The UAV must return and land at the designated runway, with an emergency landing site available.","High-wing with extra battery, GPS-only navigation","Fixed-pitch prop, minimal sensors, low weight","Dual GNSS-INS, radar-based obstacle avoidance","Visual-only navigation, single camera, no redundancy","Lightweight foam body, no weather resistance","Single GNSS, delayed telemetry, no radar use","Solar-powered, high-altitude glide, slow response","[""High-wing with extra battery, GPS-only navigation"", ""Fixed-pitch prop, minimal sensors, low weight"", ""Dual GNSS-INS, radar-based obstacle avoidance"", ""Visual-only navigation, single camera, no redundancy"", ""Lightweight foam body, no weather resistance"", ""Single GNSS, delayed telemetry, no radar use"", ""Solar-powered, high-altitude glide, slow response""]","Dual GNSS-INS ensures positioning during jamming, while radar enables real-time obstacle detection in low visibility. It balances wind resistance, navigation accuracy, and safety, outperforming others in reliability and adaptability under mission constraints." 2025-11-01T18:03:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Firefighting_Helicopter_Mission_a4f3609eb658_mcq.json,uavbench-mcq-v1,Offshore_Firefighting_Helicopter_Mission,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During 120–130s comms dropout, how should UAV maintain secure, stable control near no-fly zone with 8 m/s winds?","This is a firefighting mission using a fuel-powered helicopter UAV operating near an offshore oil platform. The airspace is restricted to a 1000m x 1000m offshore zone with a maximum altitude of 300m AGL. Weather conditions include strong 8 m/s winds from the west, gusts up to 4 m/s, poor visibility, and dust. The UAV carries a 150 kg payload equipped with thermal and RGB cameras, radar, and standard navigation sensors. A cylindrical no-fly zone with a 100m radius is centered at (500, 500) up to 250m altitude. The mission involves flying a corridor pattern around the perimeter and dropping retardant near the center, all within a 600-second time limit. There is conflicting traffic from another UAV moving westbound at 15 m/s, and a moving spherical obstacle drifting left at 2 m/s. The UAV must maintain 25m separation and avoid DAA breaches with a 20-second time-to-conflict threshold. GNSS multipath effects are not modeled, but brief communication dropouts occur between 120–130s and 450–460s. The UAV starts with full fuel and must return safely despite energy limitations and environmental challenges.",Continue mission using GNSS and encrypted telemetry,Switch to authenticated inertial navigation with radar updates,Rely solely on last known GNSS position during dropout,Increase control loop frequency to 200 Hz unencrypted,Accept unverified commands from ground via open link,Disable intrusion detection to reduce processing load,Transmit unencrypted video to maintain situational awareness,"[""Continue mission using GNSS and encrypted telemetry"", ""Switch to authenticated inertial navigation with radar updates"", ""Rely solely on last known GNSS position during dropout"", ""Increase control loop frequency to 200 Hz unencrypted"", ""Accept unverified commands from ground via open link"", ""Disable intrusion detection to reduce processing load"", ""Transmit unencrypted video to maintain situational awareness""]","B ensures control stability and security by using authenticated sensor fusion without reliance on vulnerable GNSS or comms. It maintains data integrity and availability during dropout by leveraging radar and inertial navigation. Other options expose the UAV to spoofing, unauthorized control, or data breaches under adversarial or failure conditions." 2025-11-01T18:03:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Forest_Search_with_Amphibious_UAV_ba488bf7602c_mcq.json,uavbench-mcq-v1,Offshore_Forest_Search_with_Amphibious_UAV,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,D,False,"Given GNSS jamming from 300–345s, comms loss (280–320s), and 600s mission limit, which strategy maximizes search coverage and ensures safe return?","This is a search and rescue mission using an amphibious fixed-wing UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The operation takes place in an offshore platform airspace with good visibility but a lightning risk and moderate winds from 240 degrees at 8.5 m/s with gusts up to 4 m/s. The UAV must search within a 500x500 meter geofenced zone between 10 and 120 meters AGL, avoiding a cylindrical no-fly zone near the center. The UAV follows a corridor search pattern across four waypoints, requiring use of a designated runway for landing. A second UAV is present in the airspace, moving eastward at 12 m/s, requiring separation maintenance of at least 25 meters or 15 seconds time-to-close. A moving spherical obstacle drifts slowly at 2 m/s in the search area, adding dynamic collision risk. GNSS jamming occurs between 300 and 345 seconds with high severity, coinciding with a comms loss window from 280 to 320 seconds. The mission has a 600-second time limit and must account for battery reserves and energy consumption under wind and drag effects. The UAV must return safely to the preferred landing site at (100,100) or use the emergency site if needed, all while avoiding geofence, altitude, and separation violations.",Fly full-speed throughout to finish early,Descend to 10m AGL during jamming to save power,Skip waypoint 3 to conserve energy,Reduce camera frame rate during jamming phase,Climb to 120m for broader LiDAR coverage,Hover at midpoint until comms restore at 320s,"Deploy thermal cam only, disable RGB and LiDAR","[""Fly full-speed throughout to finish early"", ""Descend to 10m AGL during jamming to save power"", ""Skip waypoint 3 to conserve energy"", ""Reduce camera frame rate during jamming phase"", ""Climb to 120m for broader LiDAR coverage"", ""Hover at midpoint until comms restore at 320s"", ""Deploy thermal cam only, disable RGB and LiDAR""]","Reducing camera frame rate cuts power use during GNSS/comms outage when data cannot be transmitted or geotagged, preserving battery for navigation and return. It maintains sensor coverage while adapting to communication and energy constraints. Other options either waste energy, sacrifice critical data, or risk collision or mission failure." 2025-11-01T18:03:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Glider_Inspection_in_Cold_Weather_e76ef4bb0ac3_mcq.json,uavbench-mcq-v1,Offshore_Glider_Inspection_in_Cold_Weather,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Glider UAV faces 12.5 m/s winds, icing at 200 s, and 600 s mission limit. How to optimize energy and avoid hazards?","This scenario involves a glider UAV conducting an inspection mission along a powerline corridor in offshore-like conditions. The flight occurs in a defined rectangular airspace with a minimum altitude of 10 meters AGL and a maximum of 200 meters. Weather includes strong winds up to 12.5 m/s increasing with altitude, gusts, and icing conditions that impact flight performance. The UAV is equipped with a battery-powered propulsion system and carries a multi-sensor payload including RGB and thermal cameras, LiDAR, and full navigation suite. Key constraints include a static no-fly zone near the center of the corridor and a moving no-fly zone drifting at 2.5 m/s, requiring real-time avoidance. Additional hazards include GNSS multipath, electromagnetic interference, and periodic communication loss windows affecting uplink and downlink. The mission requires navigating through five waypoints in a corridor pattern while managing energy and maintaining separation from traffic and obstacles. A manned or unmanned traffic UAV crosses the airspace at 18 m/s, and a moving spherical obstacle drifts westward, demanding dynamic path adjustments. The UAV must also withstand an icing event at 200 seconds into the flight, reducing aerodynamic efficiency by 60% for one minute. Success depends on avoiding stalls, maintaining GNSS lock, preserving battery reserves, and completing the inspection within the 600-second time budget.",Climb to 200 m immediately for better GNSS signal,Fly at 10 m AGL continuously to minimize wind exposure,Deactivate LiDAR and reduce camera frame rate,Fly direct path through moving no-fly zone center,Increase speed to 18 m/s to match traffic and reduce conflicts,Circle at mid-altitude to wait out icing event,Use predictive path planning with dynamic altitude adjustment,"[""Climb to 200 m immediately for better GNSS signal"", ""Fly at 10 m AGL continuously to minimize wind exposure"", ""Deactivate LiDAR and reduce camera frame rate"", ""Fly direct path through moving no-fly zone center"", ""Increase speed to 18 m/s to match traffic and reduce conflicts"", ""Circle at mid-altitude to wait out icing event"", ""Use predictive path planning with dynamic altitude adjustment""]","G employs adaptive path and altitude control, minimizing energy by avoiding strong winds aloft and dynamic obstacles. It maintains mission progress during icing by adjusting trajectory rather than circling, preserving battery and time. This balances sensor operation, communication resilience, and obstacle avoidance within 600 s." 2025-11-01T18:03:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Glider_Inspection_Mission_4de9e4bce1be_mcq.json,uavbench-mcq-v1,Offshore_Glider_Inspection_Mission,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,How should the glider adjust pitch and airspeed at 250 m AGL with 14 m/s headwind and thermal updraft to maximize energy and maintain lift?,"This is an offshore glider-based inspection mission near an offshore platform. The UAV operates within a defined polygonal airspace between 10 and 300 meters AGL, avoiding static and moving no-fly zones. Weather conditions include strong winds up to 14 m/s increasing with altitude, poor visibility, and dust. The fixed-wing glider UAV has a battery power system and carries a radar and RGB camera payload for inspection tasks. GNSS signals are degraded due to multipath effects and electromagnetic interference, with brief communication loss windows during the mission. A dynamic no-fly zone moves through the airspace, and a stationary NFZ surrounds a central platform area. The mission follows a corridor inspection pattern with five waypoints, requiring a runway for landing. A single traffic UAV crosses the area, and separation monitoring is active with a 50-meter threshold. Thermal updrafts are present near the inspection route, which the glider can exploit for energy. The UAV must complete the mission within 600 seconds while maintaining safe separation and sufficient battery reserve.",Increase pitch to 15° and reduce airspeed to 18 m/s,Decrease pitch to 2° and increase airspeed to 30 m/s,Maintain pitch at 6° and airspeed at 22 m/s,Increase pitch to 12° and airspeed to 28 m/s,Reduce pitch to -2° and maintain airspeed at 22 m/s,Hold pitch at 8° and reduce airspeed to 16 m/s,Increase pitch to 10° and decrease airspeed to 20 m/s,"[""Increase pitch to 15° and reduce airspeed to 18 m/s"", ""Decrease pitch to 2° and increase airspeed to 30 m/s"", ""Maintain pitch at 6° and airspeed at 22 m/s"", ""Increase pitch to 12° and airspeed to 28 m/s"", ""Reduce pitch to -2° and maintain airspeed at 22 m/s"", ""Hold pitch at 8° and reduce airspeed to 16 m/s"", ""Increase pitch to 10° and decrease airspeed to 20 m/s""]","At 250 m AGL, higher wind speed increases dynamic pressure, allowing reduced airspeed to minimize drag while maintaining lift. A 10° pitch balances angle of attack to exploit thermal updrafts without approaching stall. This setting optimizes lift-to-drag ratio and conserves battery under degraded GNSS and turbulence." 2025-11-01T18:03:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Glider_Inspection_in_Rain_c04a660ecccf_mcq.json,uavbench-mcq-v1,Offshore_Glider_Inspection_in_Rain,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 250 m AGL with 15% battery, moderate wind shear, and icing, how should the glider adjust to inspect WP3 within 8 minutes while avoiding a moving obstacle?","This is an offshore glider inspection mission in rural airspace with poor visibility due to rain and icing conditions. The UAV is a fixed-wing glider equipped with a battery-powered propulsion system and carrying a standard payload with RGB camera and radar sensors. Winds are moderate to strong, increasing with altitude and shifting direction, while thermal updrafts are present near the inspection route. The flight occurs between 10 and 300 meters AGL within a defined polygonal airspace that includes a static no-fly zone and a moving restricted zone. A second UAV and a moving spherical obstacle create dynamic collision risks, requiring strict separation monitoring. Electromagnetic interference and periodic communication dropouts challenge command and control links. GNSS signals experience mild jamming but no multipath effects, supporting navigation despite sensor limitations. The mission involves inspecting four waypoints in a corridor pattern within a tight time budget, with return to a preferred landing site. Icing conditions are expected during flight, reducing aerodynamic performance temporarily. The glider must manage energy carefully using its battery reserve while avoiding faults, traffic, and obstacles to complete the mission successfully.",Descend to 100 m AGL to reduce icing and save energy,Climb to 300 m AGL for stronger updrafts and clearer GNSS,Maintain 250 m AGL and increase speed using full battery,Fly direct at 200 m AGL using radar for obstacle tracking,Delay inspection to wait for thermal lift near WP3,Divert to landing site due to battery and icing risk,"Use thermals at 220 m AGL, moderate speed, and radar-guided zigzag","[""Descend to 100 m AGL to reduce icing and save energy"", ""Climb to 300 m AGL for stronger updrafts and clearer GNSS"", ""Maintain 250 m AGL and increase speed using full battery"", ""Fly direct at 200 m AGL using radar for obstacle tracking"", ""Delay inspection to wait for thermal lift near WP3"", ""Divert to landing site due to battery and icing risk"", ""Use thermals at 220 m AGL, moderate speed, and radar-guided zigzag""]","G balances energy conservation by leveraging thermals, maintains safe separation via radar-guided path adjustments, and sustains control in icing by avoiding extreme altitudes. It preserves battery while meeting time constraints through efficient lift utilization and adaptive navigation under GNSS jamming and communication dropouts. Other options either risk collision, waste energy, violate time limits, or compromise aerodynamic stability." 2025-11-01T18:03:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Firefighting_Drop_with_Fixed-Wing_UAV_919a1375c252_mcq.json,uavbench-mcq-v1,Offshore_Firefighting_Drop_with_Fixed-Wing_UAV,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,D,False,"With 8.5 m/s winds, lightning risk, and GNSS multipath, what ensures secure, stable UAV water drop and return within 600 s?","Fixed-wing UAV conducts offshore firefighting water drop near an oil platform. Mission takes place in controlled offshore airspace with a defined geofence and runway requirements. Weather includes strong 8.5 m/s winds from 240°, gusts up to 4 m/s, and a lightning risk. UAV is battery-powered with a max speed of 35 m/s and carries a 3 kg firefighting payload. Equipped with radar, RGB and thermal cameras, and full sensor suite for navigation. Flight altitude ranges from 10 to 300 meters AGL with a no-fly cylinder around a central zone. Lightning risk and GNSS multipath near the platform require cautious navigation. A single traffic UAV and a moving spherical obstacle challenge situational awareness. Minimum separation is set at 50 meters with a 30-second time-to-collision threshold. Mission must be completed within 600 seconds, returning to a designated runway.",Use GNSS-only navigation to maximize precision near platform,Encrypt telemetry but disable authentication to reduce latency,Rely on thermal camera only for obstacle detection in low visibility,Authenticate all commands and switch to INS during GNSS anomalies,Disable radar to save power for extended firefighting duration,Transmit control signals unencrypted for faster response to gusts,Maintain geofence using open Wi-Fi link to ground station,"[""Use GNSS-only navigation to maximize precision near platform"", ""Encrypt telemetry but disable authentication to reduce latency"", ""Rely on thermal camera only for obstacle detection in low visibility"", ""Authenticate all commands and switch to INS during GNSS anomalies"", ""Disable radar to save power for extended firefighting duration"", ""Transmit control signals unencrypted for faster response to gusts"", ""Maintain geofence using open Wi-Fi link to ground station""]","Authentication prevents spoofed commands, while INS fallback maintains control during GNSS multipath or jamming near the platform. This ensures integrity and availability under cyber-physical stress, preserving mission timing and flight stability in high winds and lightning risk." 2025-11-01T18:03:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Glider_Inspection_in_Wind_Farm_under_Hot_Conditions_8c4eb0d6b8c5_mcq.json,uavbench-mcq-v1,Offshore_Glider_Inspection_in_Wind_Farm_under_Hot_Conditions,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 580s, battery at 19%, 200m from home, with 15s comms loss imminent: proceed to land or continue final inspection pass?","This mission involves a glider UAV conducting an offshore wind farm inspection under hot weather conditions. The operation takes place within a defined rectangular airspace bounded from 10 to 120 meters AGL. Winds are moderate to strong, increasing with altitude from 8.5 m/s at sea level to 11.0 m/s at 100 meters, with a southwesterly direction and gusts up to 4.2 m/s. The UAV is battery-powered, equipped with radar, RGB and thermal cameras for visual and structural inspection. It must avoid a static no-fly zone around a central turbine and a moving exclusion zone drifting at 2.5 m/s. Air traffic includes another UAV flying westbound at 18 m/s, requiring separation maintenance. GNSS signals suffer from multipath interference and moderate jamming, complicating navigation near turbines. Thermal updrafts near (1200, 800) may aid lift but require careful flight control. Communication experiences two brief downlink outages, each lasting 15 seconds. The UAV must complete its corridor-pattern waypoint mission within 600 seconds while managing battery reserves and avoiding stalls or geofence violations.",Proceed to complete final inspection pass,"Abort mission, glide immediately to home",Descend to 10m AGL to reduce wind risk,Enter thermal updraft to extend range,Fly directly through moving exclusion zone,Accelerate west to beat comms outage,Circle awaiting GNSS signal stabilization,"[""Proceed to complete final inspection pass"", ""Abort mission, glide immediately to home"", ""Descend to 10m AGL to reduce wind risk"", ""Enter thermal updraft to extend range"", ""Fly directly through moving exclusion zone"", ""Accelerate west to beat comms outage"", ""Circle awaiting GNSS signal stabilization""]","Safety requires prioritizing controlled landing with reserve energy over mission completion. Continuing risks battery depletion during comms loss, violating safety-of-life principles. Option B ensures geofence compliance and controlled recovery within thermal and wind constraints." 2025-11-01T18:03:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Glider_Inspection_in_Rain_f479ced0b145_mcq.json,uavbench-mcq-v1,Offshore_Glider_Inspection_in_Rain,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,E,False,"At 180s, icing reduces lift for 60s amid 12 m/s gusts and GNSS degradation; which action maintains trajectory and safety?","This scenario involves an inspection mission using a fixed-wing glider UAV in suburban airspace near offshore areas. The UAV carries a radar and RGB camera payload for visual assessment under poor visibility conditions caused by rain and icing. Weather includes strong winds up to 12 m/s with gusts, wind shear, and dynamic thermal updrafts, increasing flight complexity. The glider must operate between 10 and 120 meters AGL while avoiding static and moving no-fly zones, including a dynamic obstacle drifting west-northwest. GNSS signals are degraded due to multipath effects and electromagnetic interference, challenging navigation reliability. A second UAV flies through the airspace on a fixed path, requiring strict separation to avoid collision. The mission includes four waypoints flown in a corridor pattern, with a time budget of 10 minutes and return to a preferred landing site. Battery reserves are critical, with significant drain expected from wind resistance and potential icing events. An icing fault is simulated at 180 seconds, reducing aerodynamic efficiency for one minute. The flight controller must manage energy, maintain safe separation, and complete the inspection despite environmental and technical constraints.",Increase throttle to counteract lift loss instantly,Rely solely on GNSS for position correction,Engage visual-RGB lock on static ground features,Switch to IMU-barometer dead reckoning only,Use radar-IMU fusion with wind-compensated EKF,Descend immediately to avoid wind shear,Follow preset waypoints ignoring sensor drift,"[""Increase throttle to counteract lift loss instantly"", ""Rely solely on GNSS for position correction"", ""Engage visual-RGB lock on static ground features"", ""Switch to IMU-barometer dead reckoning only"", ""Use radar-IMU fusion with wind-compensated EKF"", ""Descend immediately to avoid wind shear"", ""Follow preset waypoints ignoring sensor drift""]",Radar-IMU fusion compensates for GNSS multipath and provides reliable altitude/velocity data during icing. The wind-compensated EKF mitigates drift from dynamic updrafts and gusts. This maintains navigation integrity and energy efficiency under degraded conditions. 2025-11-01T18:03:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Glider_Inspection_in_Wind_Farm_with_Lightning_Risk_d979413b3bc4_mcq.json,uavbench-mcq-v1,Offshore_Glider_Inspection_in_Wind_Farm_with_Lightning_Risk,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Given 600-second endurance, 13.5 m/s winds, and two downlink losses, what minimizes energy use while ensuring inspection completion?","This is an offshore inspection mission using a fixed-wing glider UAV in a wind farm environment. The UAV is equipped with a radar and RGB camera payload for visual inspection tasks. Flight operations occur between 10 and 120 meters AGL within a defined polygonal geofence. Strong winds up to 13.5 m/s increase with altitude and shift direction, requiring careful airspeed management. Thermal updrafts are present, offering potential energy-saving opportunities during flight. A static no-fly zone surrounds a critical structure, and a dynamic no-fly zone moves slowly through the area. Another UAV and a moving spherical obstacle create mid-air collision risks. GNSS multipath effects and electromagnetic interference degrade navigation accuracy, with a simulated GNSS jamming event occurring mid-mission. Communication experiences two brief downlink loss windows, reducing telemetry reliability. Lightning risk in the area imposes additional operational constraints, demanding timely mission completion within the 600-second budget.",Fly maximum altitude to exploit thermal updrafts continuously,Descend to 10 m AGL to reduce wind resistance and save energy,"Disable radar to save power, rely solely on RGB camera",Circle in thermals to extend endurance beyond 600 seconds,Increase airspeed by 20% to finish early and avoid lightning,Transmit all imagery in real-time during downlink windows,"Use thermals for lift, cycle payload power, and optimize path","[""Fly maximum altitude to exploit thermal updrafts continuously"", ""Descend to 10 m AGL to reduce wind resistance and save energy"", ""Disable radar to save power, rely solely on RGB camera"", ""Circle in thermals to extend endurance beyond 600 seconds"", ""Increase airspeed by 20% to finish early and avoid lightning"", ""Transmit all imagery in real-time during downlink windows"", ""Use thermals for lift, cycle payload power, and optimize path""]","Thermal updrafts reduce propulsion energy, payload power cycling conserves battery, and path optimization avoids dynamic obstacles and no-fly zones. This balances energy, time, and communication constraints. Other options either waste energy, exceed time limits, or risk data loss during downlink outages." 2025-11-01T18:03:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Glider_Jungle_Ops_aaf4455dde2a_mcq.json,uavbench-mcq-v1,Offshore_Glider_Jungle_Ops,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,Glider must reach waypoint 3 in 7 minutes with 15 m/s crosswind at 200 m and 4 m/s gusts.,"This is an inspection mission using a fixed-wing glider UAV in a dense jungle environment. The UAV is equipped with RGB camera payload and standard navigation sensors, relying on battery power. Operations occur within a defined polygonal airspace from 10 to 300 meters AGL, featuring strong crosswinds and poor visibility. Wind speed increases with altitude, reaching 15 m/s at 200 meters, and includes gusts up to 4 m/s. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves slowly through the region. Another UAV and a moving spherical obstacle create mid-air collision risks. GNSS signals suffer from multipath interference and moderate jamming, with brief communication link losses expected. The mission requires navigating a corridor of four waypoints within 10 minutes, avoiding obstacles and restricted zones. Thermal updrafts are present but not utilized, and the UAV must manage energy carefully to avoid premature battery depletion. Emergency and preferred landing sites are located at opposite corners of the operational area.",Climb to 250 m for smoother airflow and better GNSS signal,Descend to 80 m to reduce wind exposure and save battery,Maintain 200 m altitude for optimal sensor coverage and speed,Fly at 300 m to avoid moving obstacle and improve comms,Dive to 50 m to escape jamming and cut through gusts,"Follow corridor at 150 m to balance energy, visibility, and safety",Ascend rapidly to 300 m to gain potential energy and avoid UAV,"[""Climb to 250 m for smoother airflow and better GNSS signal"", ""Descend to 80 m to reduce wind exposure and save battery"", ""Maintain 200 m altitude for optimal sensor coverage and speed"", ""Fly at 300 m to avoid moving obstacle and improve comms"", ""Dive to 50 m to escape jamming and cut through gusts"", ""Follow corridor at 150 m to balance energy, visibility, and safety"", ""Ascend rapidly to 300 m to gain potential energy and avoid UAV""]","Flying at 150 m balances reduced wind load, acceptable GNSS performance, and obstacle clearance while conserving energy. It avoids high-altitude gusts and maintains separation from dynamic obstacles and no-fly zones. This altitude supports camera resolution, coordination safety, and mission timing without overextending power or navigation limits." 2025-11-01T18:03:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Glider_Runway_Incursion_with_DAA_f1ff2a07ed44_mcq.json,uavbench-mcq-v1,Offshore_Glider_Runway_Incursion_with_DAA,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"Glider UAV faces 8.5 m/s crosswind at 240°, GNSS multipath near platform, and moving obstacle at low altitude. What ensures safe approach?","A glider UAV conducts an offshore inspection mission near an oil platform. The airspace is constrained between 10 and 120 meters AGL with a defined polygonal boundary. A no-fly zone cylinder protects a central area near the platform structure. The UAV must use a designated runway aligned at 240 degrees for landing. Strong crosswinds of 8.5 m/s at 240 degrees challenge stable flight and approach. The glider carries an RGB camera payload for visual inspection tasks. It relies on GNSS, IMU, magnetometer, and barometer for navigation. Another UAV enters the airspace from the center, creating a separation risk. A moving spherical obstacle drifts through the flight path at low altitude. DAA systems monitor separation, requiring at least 25 meters and 15 seconds time-to-closest-approach.",Prioritize GNSS for position; ignore magnetometer drift,Use barometer-only altitude control in turbulence,Rely on IMU-camera fusion; limit GNSS updates,Align approach using magnetometer without calibration,Increase descent rate to avoid drifting obstacle,"Maintain heading with raw IMU gyro, no wind correction",Follow runway heading blindly despite crosswind,"[""Prioritize GNSS for position; ignore magnetometer drift"", ""Use barometer-only altitude control in turbulence"", ""Rely on IMU-camera fusion; limit GNSS updates"", ""Align approach using magnetometer without calibration"", ""Increase descent rate to avoid drifting obstacle"", ""Maintain heading with raw IMU gyro, no wind correction"", ""Follow runway heading blindly despite crosswind""]","IMU-camera fusion provides high-rate state estimation, compensating for GNSS multipath near the platform. Visual cues correct IMU drift, while optical flow aids obstacle awareness. This fusion maintains navigation integrity despite wind and signal degradation." 2025-11-01T18:03:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_HAPS_Inspection_a5f2409ea4e4_mcq.json,uavbench-mcq-v1,Offshore_HAPS_Inspection,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Which path maintains 75 m swarm separation, avoids static/dynamic NFZs, and stays within 100–600 m AGL under GNSS drift?","Mission involves offshore wind farm inspection using a high-altitude pseudo-satellite UAV. Operates within controlled airspace between 100 m and 600 m AGL over a coastal wind farm. Weather features moderate winds increasing with altitude, gusts, and a lightning risk. UAV is a battery-powered HAPS with radar, RGB, and thermal imaging payloads. GNSS multipath, electromagnetic interference, and signal jamming are present. A static no-fly zone blocks part of the inspection area near turbines. A dynamic no-fly zone moves slowly through the airspace, requiring real-time avoidance. Swarm operation with three UAVs mandates minimum 75 m separation between units. Traffic includes another UAV entering from the south at 250 m altitude. Communication experiences brief uplink/downlink loss windows during the mission.","Climb to 600 m, direct east to bypass NFZ, descend at 3°","Descend to 90 m, fly west below wind farm, re-ascend rapidly","Hold altitude at 250 m, proceed straight through static NFZ","Turn 180°, exit east at 300 m, re-enter after 5 min delay","Reduce speed, follow curved path 100 m north of dynamic NFZ","Ascend at 5 m/s, orbit at 590 m until other UAV clears","Fly level at 240 m, adjust heading 15° left to skirt static NFZ","[""Climb to 600 m, direct east to bypass NFZ, descend at 3°"", ""Descend to 90 m, fly west below wind farm, re-ascend rapidly"", ""Hold altitude at 250 m, proceed straight through static NFZ"", ""Turn 180°, exit east at 300 m, re-enter after 5 min delay"", ""Reduce speed, follow curved path 100 m north of dynamic NFZ"", ""Ascend at 5 m/s, orbit at 590 m until other UAV clears"", ""Fly level at 240 m, adjust heading 15° left to skirt static NFZ""]","Option E avoids both NFZs with a safe lateral offset, respects altitude and swarm separation constraints, and minimizes time lost. It accounts for GNSS drift by not skirting too close to restricted zones. Other options violate AGL limits, cut through NFZs, or cause excessive delay or collision risk." 2025-11-01T18:03:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_HeavyLift_GPS_Spoofing_Dust_Storm_c9fa0c33babd_mcq.json,uavbench-mcq-v1,Offshore_HeavyLift_GPS_Spoofing_Dust_Storm,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 180s, GNSS degrades and comms fail; winds are 8.5 m/s with 12 m/s UAV approaching at 30m. What action prioritizes safety and compliance?","Heavy lift UAV conducts offshore platform inspection in poor visibility with dust and strong winds. Operating in restricted offshore airspace with a maximum altitude of 120 meters AGL. Adverse weather includes 8.5 m/s winds from 240°, gusts up to 4 m/s, and reduced visibility due to dust. UAV is an octocopter with RGB camera and LiDAR payload, carrying a 12 kg external load. Mission involves flying a corridor pattern through four waypoints within a 600-second time limit. GNSS signals are degraded due to spoofing attacks lasting 45 seconds and constant electromagnetic interference. No-fly zones include a static cylinder near the platform center and a moving exclusion zone drifting southwest. Dynamic obstacles include a slow-moving sphere and another UAV traveling westbound at 12 m/s. Communication experiences brief uplink/downlink outages at 180 and 300 seconds into the mission. Flight must maintain 25-meter separation with traffic and avoid altitude and geofence violations.",Continue mission using dead reckoning until comms restore,Climb to 110 m AGL for better signal and obstacle clearance,Abort mission and return to launch via safest path,Descend to 50 m AGL to avoid moving UAV and wind shear,Hover in place until GNSS spoofing ends at 225 seconds,Fly eastward to bypass moving no-fly zone despite poor visibility,Eject 12 kg load to reduce risk if collision becomes imminent,"[""Continue mission using dead reckoning until comms restore"", ""Climb to 110 m AGL for better signal and obstacle clearance"", ""Abort mission and return to launch via safest path"", ""Descend to 50 m AGL to avoid moving UAV and wind shear"", ""Hover in place until GNSS spoofing ends at 225 seconds"", ""Fly eastward to bypass moving no-fly zone despite poor visibility"", ""Eject 12 kg load to reduce risk if collision becomes imminent""]","Maintaining separation and adhering to airspace rules outweighs mission completion. With GNSS spoofing, comms loss, and converging traffic, continued flight risks collision or geofence violation. Aborting ensures safety-of-life, complies with regulations, and minimizes hazard in degraded conditions." 2025-11-01T18:03:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Heavy_Lift_Operation_in_Microburst_Risk_e347eb527a36_mcq.json,uavbench-mcq-v1,Offshore_Heavy_Lift_Operation_in_Microburst_Risk,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,G,False,"An octocopter with 12 kg payload must inspect indoors at 0.5–15 m AGL, avoiding a cylindrical NFZ at (25,15) within 3 m.","This is a heavy lift UAV inspection mission in an indoor warehouse environment. The UAV operates within a confined polygonal airspace bounded from 0.5 to 15 meters AGL. Winds are not a factor indoors, but the scenario includes a simulated microburst risk, suggesting sudden air disturbances. The UAV is an octocopter with a 12 kg payload, equipped with GNSS, IMU, lidar, and RGB camera for navigation and data collection. A cylindrical no-fly zone is centered in the operational area, restricting access within 3 meters of the coordinates (25, 15). The mission follows a corridor pattern across five waypoints, requiring precise path planning to avoid the NFZ. The UAV must complete the mission within 600 seconds while maintaining safe separation and avoiding geofence violations. Battery endurance is critical, with a reserve fraction of 30% to ensure safe return. Landing sites are designated at opposite corners of the space for normal and emergency use. Success depends on mission completion, battery management, and adherence to altitude and spatial constraints.",Use GNSS exclusively for positioning near the NFZ center,Rely solely on IMU during simulated microburst events,Switch to lidar-IMU fusion when approaching the NFZ,Navigate with RGB camera only in low-light corridor sections,Disable geofence monitoring to allow tighter NFZ turns,Extend hover time at waypoints for better GNSS lock,Follow corridor pattern using GNSS-lidar-IMU sensor fusion,"[""Use GNSS exclusively for positioning near the NFZ center"", ""Rely solely on IMU during simulated microburst events"", ""Switch to lidar-IMU fusion when approaching the NFZ"", ""Navigate with RGB camera only in low-light corridor sections"", ""Disable geofence monitoring to allow tighter NFZ turns"", ""Extend hover time at waypoints for better GNSS lock"", ""Follow corridor pattern using GNSS-lidar-IMU sensor fusion""]","Indoor GNSS signals are unreliable and prone to multipath; lidar-IMU fusion degrades in dynamic air disturbances. GNSS-lidar-IMU fusion leverages redundancy, maintains accuracy near the NFZ, and sustains navigation integrity. This adaptive fusion ensures geofence compliance, efficient path following, and robustness against microburst-induced turbulence." 2025-11-01T18:03:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Heavy_Lift_in_Snowy_Volcanic_Zone_0628430fe9ea_mcq.json,uavbench-mcq-v1,Offshore_Heavy_Lift_in_Snowy_Volcanic_Zone,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"At 180m AGL, 13.5 m/s winds and icing, how should the UAV respond to a moving obstacle within 400m?","Heavy lift UAV conducts offshore inspection in a volcanic zone with active thermal plumes and snowfall. Mission takes place in restricted airspace with a static no-fly zone and a moving dynamic NFZ. Operational altitude ranges from 10 to 300 meters AGL within a defined polygon boundary. Weather includes strong winds up to 13.5 m/s, poor visibility, snowfall, and icing conditions. UAV is equipped with GNSS, IMU, LiDAR, RGB and thermal cameras, but faces GNSS multipath and interference. Payload of 10 kg adds drag, requiring careful energy management in high-wind shear conditions. Thermal updrafts near volcanic vents create localized turbulence and lift effects. Icing event occurs mid-mission, degrading performance for one minute. A single traffic UAV and a moving spherical obstacle challenge separation requirements. Communication experiences brief dropouts, and strict DAA thresholds enforce safe separation.",Descend to 50m to avoid turbulence and reduce drag,Climb to 290m to bypass obstacle and thermal updrafts,Hold position and reduce speed to conserve energy,Increase speed to exit dynamic NFZ within 90 seconds,Execute lateral maneuver at 120m using LiDAR guidance,Ascend to 310m for better GNSS signal and clearance,Reduce altitude to 10m to minimize wind exposure,"[""Descend to 50m to avoid turbulence and reduce drag"", ""Climb to 290m to bypass obstacle and thermal updrafts"", ""Hold position and reduce speed to conserve energy"", ""Increase speed to exit dynamic NFZ within 90 seconds"", ""Execute lateral maneuver at 120m using LiDAR guidance"", ""Ascend to 310m for better GNSS signal and clearance"", ""Reduce altitude to 10m to minimize wind exposure""]","E balances obstacle avoidance, energy use, and sensor reliability by leveraging LiDAR in degraded GNSS conditions. It remains within operational altitude limits and avoids high-wind shear zones near the surface and upper boundary. Other options violate altitude bounds, increase risk in turbulence, or compromise separation and energy." 2025-11-01T18:03:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Helicopter_Inspection_in_Forest_Airspace_with_Thermal_Updrafts_4473516385d6_mcq.json,uavbench-mcq-v1,Offshore_Helicopter_Inspection_in_Forest_Airspace_with_Thermal_Updrafts,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 150m AGL with GNSS degraded and thermal updrafts at 240°, how should navigation be prioritized?","This is an offshore helicopter inspection mission in forested airspace with thermal updrafts. The UAV is a fuel-powered helicopter equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates within a defined corridor between 10 and 200 meters AGL, bounded by a polygonal geofence. Two static no-fly zones are present, one of which is dynamic and moving slowly across the area. The environment features moderate wind from 240 degrees, gusts, and two thermal plumes providing vertical lift. GNSS signals are degraded due to multipath effects, requiring careful navigation. The mission must be completed within 600 seconds, following a predefined set of waypoints. Air traffic includes another UAV moving through the airspace, requiring separation monitoring. The minimum separation threshold is 50 meters with a time-to-closest-approach limit of 30 seconds. The helicopter must avoid obstacles, maintain communication, and successfully complete the inspection while managing fuel and sensor performance.",Rely solely on GNSS and reduce speed,Switch to LiDAR-only terrain tracking,Use IMU and visual odometry fusion,Descend to 10m to avoid updrafts,Follow magnetic heading using compass,Trust last known GNSS position,Increase altitude to 200m for signal,"[""Rely solely on GNSS and reduce speed"", ""Switch to LiDAR-only terrain tracking"", ""Use IMU and visual odometry fusion"", ""Descend to 10m to avoid updrafts"", ""Follow magnetic heading using compass"", ""Trust last known GNSS position"", ""Increase altitude to 200m for signal""]",GNSS degradation from multipath requires fallback to IMU-visual fusion for drift-resistant positioning. Visual odometry compensates for LiDAR occlusion in forests and outperforms magnetic sensors affected by thermal updrafts. This fusion maintains accuracy while adapting to environmental noise and sensor limitations. 2025-11-01T18:03:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Helicopter_LostLink_RTL_Snowfall_51e2d2736c08_mcq.json,uavbench-mcq-v1,Offshore_Helicopter_LostLink_RTL_Snowfall,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 200s, comms fail with 150kg payload, icing, and snow. RTL triggers near structures. Which action ensures safe return within 600s?","This scenario involves a helicopter UAV conducting an offshore platform inspection mission. The airspace is restricted to altitudes between 10 and 300 meters AGL around a defined offshore area. Weather conditions include moderate wind from 240 degrees, gusts, poor visibility, and active snowfall with icing conditions. The UAV is a fuel-powered helicopter equipped with a full sensor suite including GNSS, radar, LiDAR, and both RGB and thermal cameras. It carries a 150 kg payload and operates under strict geofencing with static and moving no-fly zones. A dynamic no-fly zone drifts southwest, and a moving spherical obstacle traverses the area. The mission includes a lost communication fault at 200 seconds, triggering RTL while suffering from simultaneous icing degradation. GNSS multipath and signal loss are expected during low-altitude maneuvers near structures. Separation from other traffic is monitored with a 50-meter threshold to avoid collisions. The UAV must complete its inspection within 600 seconds despite reduced performance from snow and icing.","Climb to 300m AGL, then proceed direct to landing zone",Descend to 10m AGL and fly west below moving NFZ,Hold at 150m AGL until dynamic NFZ passes southwest,"Divert to alternate runway east, maintaining 200m AGL","Reduce speed to conserve fuel, continue current heading",Execute emergency landing on nearest platform immediately,"Turn southwest, descend to 50m AGL, and follow sea surface","[""Climb to 300m AGL, then proceed direct to landing zone"", ""Descend to 10m AGL and fly west below moving NFZ"", ""Hold at 150m AGL until dynamic NFZ passes southwest"", ""Divert to alternate runway east, maintaining 200m AGL"", ""Reduce speed to conserve fuel, continue current heading"", ""Execute emergency landing on nearest platform immediately"", ""Turn southwest, descend to 50m AGL, and follow sea surface""]","Diverting east at 200m avoids the dynamic NFZ and moving obstacle while staying within the 10–300m AGL band. This path reduces multipath risk near structures and maintains separation from traffic. Other options violate NFZs, increase icing exposure, or risk GNSS loss at low altitude." 2025-11-01T18:03:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Inspection_in_Icing_Conditions_9cc87df54bf5_mcq.json,uavbench-mcq-v1,Offshore_Inspection_in_Icing_Conditions,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"During icing and GNSS jamming, with 10 m/s winds and a drone 45m from a moving obstacle, what action prioritizes safety?","Fixed-wing UAV conducts offshore powerline corridor inspection in poor visibility with icing conditions. Mission takes place in a defined polygonal airspace with a central no-fly cylinder and runway requirements. Strong winds up to 10 m/s increase with altitude and shift direction, creating challenging flight dynamics. UAV carries RGB and thermal cameras plus radar, powered by an 800Wh battery with significant drag impact. Icing conditions are expected, with a simulated icing event reducing performance for two minutes. GNSS signals face moderate jamming and electromagnetic interference, raising multipath and outage risks. A moving spherical obstacle drifts westward across the corridor, requiring real-time avoidance. Another UAV enters the airspace from the east, demanding separation of at least 50 meters. Communication experiences a brief 10-second downlink loss during the mission. Strict battery reserve (30%) and time budget (10 minutes) constrain operational flexibility.",Continue mission at reduced speed to finish inspection,"Climb to avoid obstacle, risking increased wind and icing","Descend below icing layer, risking terrain collision",Abort mission and return to runway immediately,Hold position until GNSS signal stabilizes,Approach obstacle for visual identification,Transmit data and land at nearest coastal facility,"[""Continue mission at reduced speed to finish inspection"", ""Climb to avoid obstacle, risking increased wind and icing"", ""Descend below icing layer, risking terrain collision"", ""Abort mission and return to runway immediately"", ""Hold position until GNSS signal stabilizes"", ""Approach obstacle for visual identification"", ""Transmit data and land at nearest coastal facility""]","Aborting ensures safety by exiting hazardous icing, GNSS degradation, and proximity risks. Continuing risks loss of control or collision, violating flight safety and remote ID separation rules. Mission objectives must yield to degrading environmental and operational thresholds." 2025-11-01T18:03:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_in_Underground_Mine_with_Thermal_Updrafts_7d4033afc07f_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_in_Underground_Mine_with_Thermal_Updrafts,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,E,E,True,How should the UAV adjust path planning near plume zones with 2.1 m/s updrafts and a moving no-fly cylinder while maintaining 10 m separation from another UAV?,"Emergency medical delivery mission in an underground mine using a solar-wing UAV equipped with thermal and RGB cameras, LIDAR, and IMU-based navigation. The UAV carries a 0.8 kg medical payload and operates within a confined 300x200 m geofenced corridor, with altitude restricted between 1 and 25 meters AGL. GNSS is unavailable due to underground conditions, and severe GNSS multipath and electromagnetic interference impair external navigation aids. Thermal updrafts near two plume zones create vertical air currents up to 2.1 m/s, affecting flight stability and energy consumption. A static no-fly zone and a moving no-fly cylinder with drift velocity require dynamic path planning to maintain separation. Another UAV is present in the airspace, moving westward, necessitating detect-and-avoid compliance with a 10-meter separation threshold. The mission must be completed within 600 seconds, following a corridor pattern through five waypoints ending at a designated landing site. Battery capacity is limited to 450 Wh with a 30% reserve, and energy use is affected by drag, manoeuvring, and updrafts. Communication suffers from intermittent uplink loss during two time windows, reducing remote control reliability. Flight safety depends on sensor fusion from IMU, barometer, magnetometer, and LIDAR due to poor visibility and lack of GNSS.",Climb above 25 m AGL to avoid updrafts and the no-fly cylinder,Descend below 1 m AGL to minimize updraft effects and fly under the other UAV,Delay entry into plume zones until the moving cylinder drifts past waypoint 3,Adjust speed to synchronize with the other UAV’s westward motion for reduced conflict,Reroute northward using LIDAR to maintain 10 m separation and avoid updrafts,Hover for 45 seconds to let the other UAV pass before crossing its path,Accelerate through plume zones to reduce energy loss and minimize exposure time,"[""Climb above 25 m AGL to avoid updrafts and the no-fly cylinder"", ""Descend below 1 m AGL to minimize updraft effects and fly under the other UAV"", ""Delay entry into plume zones until the moving cylinder drifts past waypoint 3"", ""Adjust speed to synchronize with the other UAV’s westward motion for reduced conflict"", ""Reroute northward using LIDAR to maintain 10 m separation and avoid updrafts"", ""Hover for 45 seconds to let the other UAV pass before crossing its path"", ""Accelerate through plume zones to reduce energy loss and minimize exposure time""]","Option E ensures safe separation from the other UAV and avoids updrafts using onboard sensing, preserving energy and timing. It respects altitude limits and dynamic obstacles while enabling corridor progression. Other options violate altitude bounds, waste time, or increase collision risk." 2025-11-01T18:03:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Inspection_under_Icing_and_GPS_Spoofing_b03c2081f103_mcq.json,uavbench-mcq-v1,Offshore_Inspection_under_Icing_and_GPS_Spoofing,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"At 210s, with GNSS spoofing starting, winds 8.5 m/s from 240°, and second UAV 35m northeast, what action maintains separation and mission integrity?","This is an offshore platform inspection mission using an octocopter UAV equipped with RGB and thermal cameras, LiDAR, and full sensor suite. The operation takes place in a defined polygonal airspace with altitude limits between 10 and 120 meters AGL. Weather includes strong winds from 240° at 8.5 m/s with gusts up to 4.2 m/s, poor visibility, and icing conditions. The UAV carries a 1.8 kg payload and relies on battery power with a 30% reserve requirement. Key constraints include a static no-fly zone near the platform center and a moving no-fly cylinder drifting southwest. GNSS spoofing occurs between 180–240 seconds, and icing affects performance from 240–360 seconds. Electromagnetic interference and a -75 dBm GNSS jamming signal degrade positioning accuracy. A second UAV and a moving spherical obstacle create dynamic collision risks. The UAV must maintain 25-meter separation and avoid geofence or altitude violations within the 10-minute mission window. Communication dropouts occur briefly at 300 and 450 seconds, challenging command reliability.",Ascend to 110m to avoid moving cylinder,Hold position at 60m AGL for 20 seconds,Transfer thermal data to second UAV via mesh,Reduce speed to 3 m/s and bank left 15°,Descend to 15m AGL to exit spoofing layer,"Circle platform east at 100m radius, 90m AGL",Activate return-to-home at 12 m/s southwest,"[""Ascend to 110m to avoid moving cylinder"", ""Hold position at 60m AGL for 20 seconds"", ""Transfer thermal data to second UAV via mesh"", ""Reduce speed to 3 m/s and bank left 15°"", ""Descend to 15m AGL to exit spoofing layer"", ""Circle platform east at 100m radius, 90m AGL"", ""Activate return-to-home at 12 m/s southwest""]","D maintains safe altitude, adjusts for wind-induced drift, and preserves 25m separation while respecting upcoming icing and spoofing constraints. It enables continued sensor coverage without triggering geofence or collision risks. Other options violate spacing, altitude limits, or deplete battery beyond reserve during critical interference phases." 2025-11-01T18:03:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Lightning_Runway_Incursion_DAA_Scenario_b2edc9a17eab_mcq.json,uavbench-mcq-v1,Offshore_Lightning_Runway_Incursion_DAA_Scenario,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"At 240s, icing reduces performance for 60s; UAV must land by 600s using runway. What action minimizes risk during icing while ensuring safe transition?","This is an offshore inspection mission near an offshore platform with dynamic airspace challenges. The UAV operates within a defined polygonal airspace from 5 to 120 meters AGL, avoiding static and moving no-fly zones. Weather includes strong winds up to 13.5 m/s increasing with altitude, gusts, and a lightning risk. The UAV is an amphibious VTOL with fixed-wing capabilities, equipped with GNSS, IMU, lidar, RGB camera, and a 1.2 kg payload. It must follow a corridor inspection pattern while maintaining separation from traffic and obstacles. A dynamic no-fly zone moves through the area, and a temporary runway incursion occurs, requiring detect-and-avoid responses. GNSS interference is present with potential jamming at -75 dBm and EM noise affecting navigation. The mission includes a simulated icing event at 240 seconds, reducing performance for one minute. Communication experiences two brief loss windows, testing autonomy resilience. The UAV must complete its waypoint route within 600 seconds, use the runway for transition, and land safely while avoiding DAA breaches and geofence violations.",Climb to 120 m AGL to avoid turbulence,Descend to 20 m AGL and continue inspection,Hold at current altitude until icing clears,"Abort mission, divert directly to runway",Accelerate to maintain lift during icing,"Descend to 10 m AGL, then proceed to runway",Turn off payload to reduce power load,"[""Climb to 120 m AGL to avoid turbulence"", ""Descend to 20 m AGL and continue inspection"", ""Hold at current altitude until icing clears"", ""Abort mission, divert directly to runway"", ""Accelerate to maintain lift during icing"", ""Descend to 10 m AGL, then proceed to runway"", ""Turn off payload to reduce power load""]","Descending to 10 m AGL reduces exposure to wind and icing effects while conserving energy. It enables a controlled approach to the runway within the 600-second limit. Other options either increase aerodynamic risk, violate the required runway transition, or fail to mitigate performance loss." 2025-11-01T18:03:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Package_Delivery_in_Fog_ebafde40b2b2_mcq.json,uavbench-mcq-v1,Offshore_Package_Delivery_in_Fog,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 150 m altitude with 11 m/s wind and fog, how should the UAV balance icing risk, GNSS interference (-75 dBm), and dynamic obstacles during corridor navigation?","Fixed-wing UAV conducts offshore package delivery near an offshore platform. Mission involves navigating a corridor of four waypoints within a defined airspace boundary. Weather includes poor visibility due to fog and potential icing conditions. Wind increases with altitude, ranging from 8 m/s at sea level to 13 m/s at 200 m. UAV is equipped with radar, thermal camera, and LIDAR to compensate for GNSS issues. Significant GNSS multipath and jamming are present, with signal interference at -75 dBm. A no-fly zone cylinder surrounds the central platform, requiring careful path planning. Another UAV and a moving spherical obstacle create dynamic collision risks. An icing event occurs mid-mission, degrading performance for two minutes. Strict separation requirements and a required runway landing add operational constraints.",Climb to 200 m for stronger GNSS signal and less fog,Descend to 50 m to reduce wind exposure and save power,"Maintain 150 m, use LIDAR for path correction and slow speed",Increase speed to 25 m/s to minimize icing duration,Fly directly toward the platform to shorten path despite no-fly zone,Rely solely on thermal camera to avoid moving spherical obstacle,Hover at next waypoint until the other UAV clears the corridor,"[""Climb to 200 m for stronger GNSS signal and less fog"", ""Descend to 50 m to reduce wind exposure and save power"", ""Maintain 150 m, use LIDAR for path correction and slow speed"", ""Increase speed to 25 m/s to minimize icing duration"", ""Fly directly toward the platform to shorten path despite no-fly zone"", ""Rely solely on thermal camera to avoid moving spherical obstacle"", ""Hover at next waypoint until the other UAV clears the corridor""]","Maintaining 150 m balances aerodynamic stability, avoids higher winds near 200 m, and stays above sea spray while using LIDAR to compensate for GNSS degradation. Slowing down preserves control during icing and enables real-time obstacle avoidance with sensor fusion, satisfying safety, navigation, and energy constraints." 2025-11-01T18:03:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Package_Delivery_in_Icing_Conditions_86d9ee6a18f1_mcq.json,uavbench-mcq-v1,Offshore_Package_Delivery_in_Icing_Conditions,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 1100m AGL, winds increase and icing begins. Mission time is 540s. How should the UAV respond to ensure safety and success?","This scenario involves an offshore package delivery mission using a high-altitude pseudo-satellite UAV equipped with radar, RGB and thermal cameras, and standard navigation sensors. The flight occurs in offshore platform airspace with a structured altitude range from 100 to 1200 meters AGL, bounded by static and dynamic no-fly zones, including a central cylindrical exclusion zone and a moving restricted area. Weather conditions include strong westerly winds increasing with altitude, gusts, and critical icing conditions that temporarily degrade performance. GNSS signals face multipath interference, electromagnetic interference, and moderate jamming, posing navigation challenges. The UAV must follow a corridor-style waypoint route, requiring runway-assisted vertical takeoff and transition to fixed-wing flight, with strict separation from traffic and moving obstacles. A second UAV travels through the airspace on a conflicting path, requiring detect-and-avoid compliance with a 50-meter minimum separation. Battery endurance is a key constraint, with significant power draw during flight and reserve margins enforced. Icing events are modeled to reduce aerodynamic efficiency for one minute, increasing stall risk, especially during climbs or turns. Mission success depends on timely completion within 600 seconds, safe navigation through constrained airspace, and avoidance of NFZ breaches, collisions, or communication dropouts.",Climb to 1200m for smoother winds and continue mission,Descend to 100m AGL and proceed through central exclusion zone,"Maintain altitude and speed, relying on de-icing systems",Descend to 300m AGL and divert to nearest runway,"Turn sharply east to avoid jamming, maintaining current altitude",Accelerate to 150% speed to finish within 600s despite icing,"Reduce speed, descend to 600m AGL, and continue on corridor","[""Climb to 1200m for smoother winds and continue mission"", ""Descend to 100m AGL and proceed through central exclusion zone"", ""Maintain altitude and speed, relying on de-icing systems"", ""Descend to 300m AGL and divert to nearest runway"", ""Turn sharply east to avoid jamming, maintaining current altitude"", ""Accelerate to 150% speed to finish within 600s despite icing"", ""Reduce speed, descend to 600m AGL, and continue on corridor""]","Descending to 300m AGL avoids peak icing and wind while staying within the 100–1200m operational band. Diverting to the runway ensures safe recovery before endurance limits or separation loss. Other options violate NFZs, increase stall risk, or ignore time and separation constraints." 2025-11-01T18:03:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Package_Delivery_with_VTOL_Tiltrotor_97622eacf876_mcq.json,uavbench-mcq-v1,Offshore_Package_Delivery_with_VTOL_Tiltrotor,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,Which path avoids the moving obstacle and NFZ while maintaining 50m AGL and reaching WP4 in ≤90s under 25kt westerly winds?,"This scenario involves an offshore package delivery mission using a VTOL tiltrotor UAV equipped with lidar, RGB camera, and standard navigation sensors. The flight occurs in an offshore platform airspace with a defined geofence and a cylindrical no-fly zone near the center. Weather includes strong westerly winds increasing with altitude, gusts, and thermal updrafts that may affect stability. The UAV must follow a corridor-style waypoint path while managing battery reserves and transitioning between hover and forward flight. A moving spherical obstacle travels horizontally, requiring real-time avoidance. Another UAV is present in the airspace, necessitating separation monitoring to avoid breaches. GNSS signals are degraded by multipath effects and electromagnetic interference, with brief communication loss periods. The mission requires a runway approach for landing and operates under strict altitude and separation constraints. Success depends on completing the delivery within the time budget while avoiding collisions and system failures.",Direct route through cylindrical NFZ at 40m AGL,"Ascend to 80m AGL, bypass NFZ east, direct to WP4","Fly west of NFZ at 50m AGL, moderate zigzag for obstacle","Descend to 30m AGL, skirt NFZ south, delay at WP3","Hover until obstacle passes, then direct dash to WP4","Reroute north at 60m AGL, maintain separation from other UAV","Bank sharply around obstacle, cut NFZ edge at 48m AGL","[""Direct route through cylindrical NFZ at 40m AGL"", ""Ascend to 80m AGL, bypass NFZ east, direct to WP4"", ""Fly west of NFZ at 50m AGL, moderate zigzag for obstacle"", ""Descend to 30m AGL, skirt NFZ south, delay at WP3"", ""Hover until obstacle passes, then direct dash to WP4"", ""Reroute north at 60m AGL, maintain separation from other UAV"", ""Bank sharply around obstacle, cut NFZ edge at 48m AGL""]","Option F maintains safe 50m AGL, avoids NFZ infringement, and accounts for lateral separation from the other UAV. It balances wind resistance by choosing a stable altitude band and incorporates re-routing latency for obstacle avoidance. This path minimizes collision risk while preserving battery and meeting time constraints." 2025-11-01T18:03:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Dust_Recon_with_Convertiplane_0da5de30cc46_mcq.json,uavbench-mcq-v1,Offshore_Platform_Dust_Recon_with_Convertiplane,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"UAV must inspect offshore platform in 600s with 15 m/s winds, GNSS issues, and two 30s comms loss windows. How to proceed?","This scenario involves an inspection mission using a convertiplane UAV near an offshore platform. The airspace is restricted with a geofenced area and a no-fly zone around critical infrastructure. Weather conditions include strong winds up to 15 m/s at higher altitudes, poor visibility, and dust, complicating flight operations. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, supporting data collection in challenging conditions. GNSS signals are degraded due to multipath and electromagnetic interference, requiring robust navigation solutions. The UAV must follow a corridor inspection pattern while avoiding a moving spherical obstacle and maintaining separation from other traffic. A runway-assisted takeoff and landing are required, with specific transition times between VTOL and forward flight. Communication downlink is unreliable, with two scheduled loss windows during the mission. The UAV must complete its route within 600 seconds while respecting altitude limits and battery reserves. Mission success depends on completing waypoints without collisions, geofence breaches, or loss of safe separation.",Proceed as planned; trust autonomy during comms loss,Abort mission due to excessive wind risk,"Reduce altitude to avoid dust, risking geofence breach",Skip inspection waypoints near no-fly zone to save time,Continue through comms loss using dead reckoning,Land immediately on platform to ensure safety,Delay takeoff until winds drop below 10 m/s,"[""Proceed as planned; trust autonomy during comms loss"", ""Abort mission due to excessive wind risk"", ""Reduce altitude to avoid dust, risking geofence breach"", ""Skip inspection waypoints near no-fly zone to save time"", ""Continue through comms loss using dead reckoning"", ""Land immediately on platform to ensure safety"", ""Delay takeoff until winds drop below 10 m/s""]","High winds and degraded GNSS increase collision and navigation risks, threatening safety and legal compliance. Continuing could breach restricted zones or lose control. Delaying ensures operational safety, respects airspace laws, and prioritizes risk mitigation over schedule." 2025-11-01T18:03:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Facade_Inspection_in_Hail_1b6372c25664_mcq.json,uavbench-mcq-v1,Offshore_Platform_Facade_Inspection_in_Hail,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"With 600s mission limit, icing reducing lift, and GNSS degraded, which strategy maximizes inspection coverage while ensuring return on reserve power?","This scenario involves a VTOL tiltrotor UAV conducting a facade inspection mission around an offshore oil platform. The operation takes place in a confined airspace with strict altitude limits between 5 and 120 meters above ground level. Weather conditions include strong winds increasing with altitude, poor visibility, and active hail, posing significant flight challenges. The UAV is equipped with a comprehensive sensor suite including RGB and thermal cameras, LiDAR, radar, and full navigation sensors. A critical no-fly zone is present near the platform center, requiring precise navigation to avoid violations. The mission follows a corridor pattern with five key waypoints and requires runway-assisted takeoff and landing. An icing event occurs mid-mission, reducing performance, and GNSS interference and communication downlink loss add operational risk. Wind shear and turbulence are modeled across altitude layers, affecting stability and energy consumption. A moving spherical obstacle drifts through the inspection area, requiring dynamic avoidance. The UAV must complete the mission within 600 seconds while maintaining separation from obstacles and adhering to strict battery reserve requirements.","Increase speed to finish early, accepting higher power draw","Disable LiDAR to save power, rely on radar for obstacle detection",Ascend to 120m for clearer comms despite stronger winds,Skip waypoint 4 to conserve energy for return leg,Use full RGB and thermal at all waypoints for maximum data,Hover at each waypoint longer to stabilize in turbulence,Reduce camera frame rate and shorten path via direct return,"[""Increase speed to finish early, accepting higher power draw"", ""Disable LiDAR to save power, rely on radar for obstacle detection"", ""Ascend to 120m for clearer comms despite stronger winds"", ""Skip waypoint 4 to conserve energy for return leg"", ""Use full RGB and thermal at all waypoints for maximum data"", ""Hover at each waypoint longer to stabilize in turbulence"", ""Reduce camera frame rate and shorten path via direct return""]","Reducing sensor frame rate lowers power consumption and heat load, extending endurance. A direct return minimizes exposure to wind shear and icing, preserving battery for safe landing. This balances data utility with energy constraints and maximizes mission success probability." 2025-11-01T18:03:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_in_Fog_40f330c68fdd_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_in_Fog,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"Helicopter UAV faces icing, 30% battery reserve, and 10-minute limit in offshore fog with moving NFZ and westerly winds.","This scenario involves a single helicopter UAV conducting an offshore platform inspection mission in poor visibility due to fog and icing conditions. The operation takes place in a designated offshore airspace with a defined geofenced corridor and multiple no-fly zones, including a dynamic obstacle moving across the area. Weather includes strong westerly winds increasing with altitude, gusts, and thermal updrafts near a plume source, compounding flight challenges. The UAV is equipped with a comprehensive sensor suite including RGB and thermal cameras, LiDAR, radar, and full navigation sensors, supporting inspection tasks under adverse conditions. Key constraints include GNSS multipath interference, electromagnetic interference, and periodic communication loss windows affecting uplink and downlink. A critical icing event occurs mid-mission, degrading performance for one minute, while wind shear across altitudes demands careful vertical planning. The UAV must maintain separation from a fixed NFZ, a moving NFZ, a drifting obstacle, and oncoming traffic entering the airspace. Battery endurance is limited, with reserve power set at 30%, requiring efficient routing within the 10-minute time budget. The UAV spawns at a mid-altitude hover point and must complete a corridor-style waypoint mission before returning to a preferred landing site. Mission success hinges on avoiding geofence breaches, maintaining DAA thresholds, and completing the route despite environmental and system challenges.","Climb to avoid obstacle, continue corridor","Descend below thermal updrafts, reroute east",Hold hover for communication recovery,Divert immediately to landing site,"Accelerate through icing zone, maintain altitude",Fly direct through moving NFZ to save time,Extend mission to complete all waypoints,"[""Climb to avoid obstacle, continue corridor"", ""Descend below thermal updrafts, reroute east"", ""Hold hover for communication recovery"", ""Divert immediately to landing site"", ""Accelerate through icing zone, maintain altitude"", ""Fly direct through moving NFZ to save time"", ""Extend mission to complete all waypoints""]","Descending reduces exposure to wind shear and icing while rerouting east maintains separation from the moving NFZ. This balances endurance, DAA thresholds, and environmental risks within the 10-minute window." 2025-11-01T18:03:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_in_Forest_Airspace_with_Lightning_Risk_aee4777071b8_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_in_Forest_Airspace_with_Lightning_Risk,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 300 seconds, GNSS jamming begins for 45 seconds with 4 m/s gusts and downlink loss; how should navigation adapt?","This mission involves an offshore platform inspection using an amphibious fixed-wing UAV equipped with RGB and thermal cameras, operating in a forested airspace. The UAV has a battery capacity of 450 Wh and carries a 1.2 kg payload, relying on GNSS, IMU, and LiDAR for navigation. The environment features moderate winds increasing with altitude, gusts up to 4 m/s, and a high risk of lightning, requiring careful weather monitoring. The flight occurs within a defined geofenced area from 5 to 120 meters AGL, with a static no-fly zone near the center and a moving obstacle with dynamic velocity. A second UAV and a drifting spherical obstacle add complexity, requiring strict separation management with a minimum 25-meter threshold. GNSS multipath effects and electromagnetic interference are present, compounded by a planned 45-second GNSS jamming fault at 300 seconds into the mission. Communication experiences a brief downlink loss between 280 and 325 seconds, demanding resilient data handling. The UAV must complete a corridor-style inspection along four waypoints within a 600-second time limit, navigating around obstacles and avoiding the no-fly zones. Thermal updrafts near the center may assist lift but require precise control due to forest density and wind shear. The mission emphasizes reliable navigation under degraded GNSS conditions, obstacle avoidance, and successful inspection despite environmental and technical challenges.",Switch entirely to IMU dead reckoning with no sensor fusion,Rely solely on GNSS despite jamming to maintain position lock,Increase LiDAR scan rate and fuse with IMU during GNSS outage,Disable thermal camera to save power for GNSS signal boosting,"Use visual odometry from RGB only, ignoring wind drift effects",Maintain course using pre-jamming GNSS data without correction,Trust magnetic heading despite electromagnetic interference in forest,"[""Switch entirely to IMU dead reckoning with no sensor fusion"", ""Rely solely on GNSS despite jamming to maintain position lock"", ""Increase LiDAR scan rate and fuse with IMU during GNSS outage"", ""Disable thermal camera to save power for GNSS signal boosting"", ""Use visual odometry from RGB only, ignoring wind drift effects"", ""Maintain course using pre-jamming GNSS data without correction"", ""Trust magnetic heading despite electromagnetic interference in forest""]","LiDAR provides local obstacle-relative positioning unaffected by GNSS jamming, and when fused with IMU, it maintains trajectory continuity. This fusion compensates for IMU drift under gust-induced accelerations. Visual and magnetic sensors are less reliable due to forest occlusion and EMI, making LiDAR-IMU the most robust during the 45-second GNSS and communication loss." 2025-11-01T18:03:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_in_Low_Visibility_37ae99d0806c_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_in_Low_Visibility,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"During icing at 11.5 m/s wind gusts, one quadrotor must minimize lift loss while maintaining 10 m separation and 30% battery reserve.","This scenario involves a swarm UAV inspection mission near an offshore platform within an airport perimeter. The operation takes place in poor visibility with icing conditions and moderate wind gusts up to 11.5 m/s at higher altitudes. A quadrotor swarm of four drones equipped with RGB and thermal cameras, LiDAR, and radar conducts the inspection. The drones operate between 10 and 120 meters AGL within a defined polygonal geofence. Key constraints include static and dynamic no-fly zones, moving obstacles, and electromagnetic interference. GNSS signals are degraded due to multipath and jamming, challenging navigation reliability. The swarm must maintain a minimum 10-meter inter-drone separation and avoid traffic and obstacles using DAA thresholds. Communication experiences brief downlink losses, and battery endurance is limited with a 30% reserve requirement. An icing fault event occurs mid-mission, reducing performance for one minute.",Increase rotor pitch to compensate for blade ice buildup,Descend to lower altitude with reduced airspeed,Rotate swarm to align with wind vector for thrust efficiency,Increase speed to raise Reynolds number and delay stall,Reduce collective pitch to prevent motor overload,Hover in place until icing event subsides,Bank sharply to increase vertical lift component,"[""Increase rotor pitch to compensate for blade ice buildup"", ""Descend to lower altitude with reduced airspeed"", ""Rotate swarm to align with wind vector for thrust efficiency"", ""Increase speed to raise Reynolds number and delay stall"", ""Reduce collective pitch to prevent motor overload"", ""Hover in place until icing event subsides"", ""Bank sharply to increase vertical lift component""]","Ice accumulation degrades blade aerodynamics, reducing lift and increasing stall risk. Increasing rotor pitch compensates for lost lift by increasing angle of attack, restoring lift production within structural limits. Other options either increase stall likelihood, waste energy, or compromise separation and navigation in degraded GNSS conditions." 2025-11-01T18:03:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_in_Hot_Conditions_269d28962634_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_in_Hot_Conditions,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which flight path optimizes energy use and obstacle avoidance within 600s, 1250 Wh, and 25 m separation from a 12 m/s UAV?","This mission involves inspecting an offshore industrial platform using a hexacopter UAV equipped with RGB and thermal cameras. The operation takes place within a defined industrial plant airspace, bounded by a 200m x 150m geofenced area. A cylindrical no-fly zone centered at (100, 75) with a 20m radius restricts flight between 15m and 60m altitude. The UAV must follow a corridor inspection pattern across five waypoints while avoiding dynamic obstacles and conflicting traffic. Moderate winds of 8 m/s from 240° with gusts up to 4.5 m/s affect flight stability and energy use. The hexacopter has a 1250 Wh battery and carries a 0.7 kg payload, limiting its endurance and requiring efficient path planning. Visual conditions are good, but GNSS signals may experience multipath near metallic structures. A second UAV transits the area at 12 m/s from the southeast, requiring separation of at least 25 meters and a time-to-closest approach threshold of 15 seconds. The UAV spawns at (20, 20, 15) and is expected to return there, with an emergency landing option at (180, 130, 15). Mission success depends on completing the route within 600 seconds while maintaining safety and battery reserve.",Direct diagonal route at constant 15 m altitude,Stair-step ascent avoiding no-fly zone above 60 m,Corridor pattern at 18 m altitude with wind-aligned legs,High-altitude path at 80 m to minimize ground interference,Zigzag below 10 m to evade thermal updrafts and traffic,Hover-scan each waypoint with maximum camera resolution,Descend to 5 m after each waypoint for signal stability,"[""Direct diagonal route at constant 15 m altitude"", ""Stair-step ascent avoiding no-fly zone above 60 m"", ""Corridor pattern at 18 m altitude with wind-aligned legs"", ""High-altitude path at 80 m to minimize ground interference"", ""Zigzag below 10 m to evade thermal updrafts and traffic"", ""Hover-scan each waypoint with maximum camera resolution"", ""Descend to 5 m after each waypoint for signal stability""]","Flying at 18 m avoids the no-fly zone’s upper restriction and aligns with wind direction, reducing drift and energy use. The corridor pattern ensures complete inspection while enabling dynamic collision avoidance. Other options either violate airspace, increase power consumption, or extend time beyond 600 seconds." 2025-11-01T18:03:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_in_Low_Visibility_b1ef2414f9c5_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_in_Low_Visibility,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"Given 45-min battery, 15-min reserve, and icing at 60 m, what altitude balances inspection, wind, and separation?","This scenario involves an offshore platform inspection mission using a convertiplane UAV equipped with RGB and thermal cameras, LiDAR, and radar. The operation takes place in a designated offshore airspace with a defined geofence and a central no-fly cylinder around critical infrastructure. Weather conditions include poor visibility, strong winds increasing with altitude, and icing conditions that impact UAV performance. The UAV must navigate using available sensors while contending with GNSS multipath, moderate jamming, and electromagnetic interference. A key constraint is maintaining separation from a nearby UAV and a moving spherical obstacle. The mission requires use of a runway for takeoff and landing, with a strict time budget and transition times between flight modes. Battery endurance is critical, with a significant reserve required for safe return. Communication experiences brief downlink outages, requiring robust data handling. The UAV may encounter an icing event mid-mission, reducing efficiency and demanding adaptive control. Success depends on precise navigation, obstacle avoidance, and adherence to airspace and separation limits.",Fly at 40 m to minimize wind exposure and save power,Cruise at 70 m for clear sensor line-of-sight,Maintain 50 m for optimal LiDAR and GNSS stability,Ascend to 80 m to avoid spherical obstacle trajectory,Descend to 30 m to escape radar interference,Hover at 60 m using thermal to track nearby UAV,Transition at 55 m to balance energy and obstacle clearance,"[""Fly at 40 m to minimize wind exposure and save power"", ""Cruise at 70 m for clear sensor line-of-sight"", ""Maintain 50 m for optimal LiDAR and GNSS stability"", ""Ascend to 80 m to avoid spherical obstacle trajectory"", ""Descend to 30 m to escape radar interference"", ""Hover at 60 m using thermal to track nearby UAV"", ""Transition at 55 m to balance energy and obstacle clearance""]","Flying at 55 m avoids icing at 60 m while maintaining sensor effectiveness and separation. It balances aerodynamic efficiency, energy conservation, and obstacle avoidance under wind and GNSS degradation. This altitude enables timely transition within flight mode constraints and preserves battery for return." 2025-11-01T18:03:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_in_Sandstorm_8e12a4da175b_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_in_Sandstorm,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"With 10-minute endurance, GNSS jamming at -75 dBm, and sandstorm visibility, which strategy maximizes inspection of 5 waypoints?","This scenario involves an offshore platform inspection mission in a wind farm environment. The UAV operates in poor visibility due to an active sandstorm, with strong, gusting winds increasing with altitude. A medium-sized amphibious UAV equipped with RGB and thermal cameras, LiDAR, and radar is used for comprehensive data collection. The UAV must navigate within a defined rectangular geofence, avoiding both static and moving no-fly zones, including a dynamic cylindrical exclusion zone. GNSS signals are degraded due to jamming at -75 dBm, with a simulated GNSS jamming fault occurring mid-mission. Electromagnetic interference and frequent downlink communication losses further challenge control and data transmission. The mission requires tight corridor navigation along five waypoints under a strict 10-minute time budget. Air traffic includes another UAV moving westward, requiring separation maintenance of at least 25 meters and 15 seconds time-to-closest-approach. Key constraints include battery endurance, wind resilience, sensor reliability in sandstorm conditions, and maintaining safe separation despite limited communications.",Fly full speed using all sensors continuously,"Disable LiDAR, use radar-only navigation at reduced altitude",Ascend to avoid wind gusts despite higher power draw,Hover at each waypoint to ensure data capture,Abort mission and return immediately to base,Skip last two waypoints to conserve battery,Reduce camera resolution and shorten path using dead reckoning,"[""Fly full speed using all sensors continuously"", ""Disable LiDAR, use radar-only navigation at reduced altitude"", ""Ascend to avoid wind gusts despite higher power draw"", ""Hover at each waypoint to ensure data capture"", ""Abort mission and return immediately to base"", ""Skip last two waypoints to conserve battery"", ""Reduce camera resolution and shorten path using dead reckoning""]","Reducing sensor resolution cuts power use and heat load, while dead reckoning compensates for GNSS loss without excessive computation. Shortening the path balances time and battery limits, ensuring safe return with critical data. Other options either overdraw power, waste time, or sacrifice essential coverage." 2025-11-01T18:03:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_in_Sandstorm_e6a74278544d_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_in_Sandstorm,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"During sandstorm with 9.5 m/s winds, how should UAV respond at 300s when dynamic NFZ encroaches and comms drop occurs?","This scenario involves an offshore platform inspection mission in a desert environment using a fuel-powered helicopter UAV. The UAV is equipped with radar, RGB and thermal cameras, and relies on GNSS, IMU, and barometer for navigation. Operations take place within a defined polygonal airspace with a minimum altitude of 10 meters AGL and a maximum of 1200 meters. A static no-fly zone surrounds the platform center, and a dynamic no-fly zone moves through the area, requiring real-time avoidance. The mission occurs during a sandstorm with poor visibility, 9.5 m/s winds from 240 degrees, and gusts up to 4.8 m/s, increasing flight risk. The UAV must complete a corridor-style inspection of four waypoints within a 600-second time limit. A second UAV is present in the airspace, moving on a fixed trajectory, requiring separation monitoring with a 50-meter threshold. Communication experiences two brief downlink loss windows, potentially affecting data transmission. GNSS performance may be degraded due to sandstorm-induced multipath and environmental interference.",Climb to 1200 m AGL to avoid NFZ and ensure GNSS signal,Descend to 10 m AGL and hover until comms restore,"Divert to runway immediately, sacrificing mission completion","Maintain course at 150 m AGL, relying on radar for avoidance",Accelerate to complete waypoints before NFZ blocks path,"Descend to 50 m AGL, then reroute around dynamic NFZ",Enter holding pattern at 200 m AGL downwind of platform,"[""Climb to 1200 m AGL to avoid NFZ and ensure GNSS signal"", ""Descend to 10 m AGL and hover until comms restore"", ""Divert to runway immediately, sacrificing mission completion"", ""Maintain course at 150 m AGL, relying on radar for avoidance"", ""Accelerate to complete waypoints before NFZ blocks path"", ""Descend to 50 m AGL, then reroute around dynamic NFZ"", ""Enter holding pattern at 200 m AGL downwind of platform""]","Descending to 50 m AGL reduces wind exposure and radar multipath while staying above minimum safe altitude. Rerouting avoids the dynamic NFZ without violating separation or time limits. Other options either breach altitude, increase risk, or waste time." 2025-11-01T18:03:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_in_Rainy_Conditions_711fc61abcda_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_in_Rainy_Conditions,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 100m AGL, 11.5 m/s headwind, and rain, what maximizes lift-to-drag ratio while maintaining 25m separation in crosswind?","This scenario involves an offshore platform inspection mission using a single battery-powered helicopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place in a defined offshore airspace with a geofenced rectangular area and two no-fly zones, one static and one moving. Weather conditions include steady rain, poor visibility, and moderate winds increasing with altitude, reaching up to 11.5 m/s at 100 meters. The UAV must navigate around GNSS signal interference, multipath effects, and electromagnetic noise that could degrade navigation accuracy. The flight is constrained to altitudes between 10 and 120 meters AGL, with a dynamic obstacle and a second UAV approaching from outside the zone. The mission follows a corridor inspection pattern through five waypoints within a 10-minute time limit. Communication experiences brief uplink/downlink losses at specific intervals, requiring robust autonomy. The UAV must maintain at least 25 meters separation from traffic and avoid collisions with both static and moving obstacles. Battery reserves are set to 30%, and successful mission completion depends on adherence to all constraints without breaching airspace or safety thresholds.",Increase angle of attack to 12° and reduce airspeed to 14 m/s,Decrease angle of attack to 6° and increase airspeed to 22 m/s,Maintain 8° angle of attack and 18 m/s with slight bank into wind,Pitch up sharply to 15° while holding 16 m/s in thermal descent,Fly at 10 m/s with 10° angle of attack to minimize power use,Match wind speed at 11.5 m/s with zero angle of attack,Descend to 10m AGL and fly at 20 m/s with max thrust,"[""Increase angle of attack to 12° and reduce airspeed to 14 m/s"", ""Decrease angle of attack to 6° and increase airspeed to 22 m/s"", ""Maintain 8° angle of attack and 18 m/s with slight bank into wind"", ""Pitch up sharply to 15° while holding 16 m/s in thermal descent"", ""Fly at 10 m/s with 10° angle of attack to minimize power use"", ""Match wind speed at 11.5 m/s with zero angle of attack"", ""Descend to 10m AGL and fly at 20 m/s with max thrust""]","At 100m AGL, higher wind speed increases apparent airspeed, allowing optimal lift-to-drag at moderate angle of attack. Banking into crosswind corrects drift while maintaining coordinated flight and lateral separation. Other options exceed critical angle of attack or reduce efficiency by increasing induced or parasitic drag." 2025-11-01T18:03:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_in_Snowfall_8bf9d3670451_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_in_Snowfall,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 4000 m AGL with 18 m/s headwind and icing, how should the UAV adjust pitch and airspeed to maintain lift and corridor compliance?","This is an offshore platform inspection mission using a high-altitude pseudo-satellite UAV equipped with radar, RGB, and thermal cameras. The operation takes place in rural offshore airspace with a defined corridor between 100 and 4500 meters AGL. Weather includes moderate snowfall, poor visibility, icing conditions, and increasing winds with altitude up to 18 m/s. The UAV relies on battery power and features aerodynamic design for endurance but is subject to reduced performance due to icing and drag from payload. A static no-fly zone surrounds the platform center, and a dynamic no-fly zone moves through the area, requiring real-time avoidance. The UAV must maintain separation of at least 100 meters from traffic and obstacles, with a minimum time-to-collision threshold of 30 seconds. Electromagnetic interference and mild GNSS jamming are present, though multipath effects are negligible. The mission begins at high altitude and follows a predefined waypoint corridor with a strict 10-minute time budget. An icing fault event occurs mid-mission, impairing performance for one minute. Communication experiences a brief 30-second downlink loss window, requiring resilient data handling.",Increase pitch by 3° and reduce airspeed to 35 m/s,Maintain current pitch and increase airspeed to 50 m/s,Decrease pitch by 2° and increase throttle to 90%,Increase pitch by 5° and maintain airspeed at 42 m/s,Reduce airspeed to 30 m/s and deploy flaps 15°,Decrease pitch to -1° and descend at 10 m/s,Hold attitude steady and reduce throttle to 60%,"[""Increase pitch by 3° and reduce airspeed to 35 m/s"", ""Maintain current pitch and increase airspeed to 50 m/s"", ""Decrease pitch by 2° and increase throttle to 90%"", ""Increase pitch by 5° and maintain airspeed at 42 m/s"", ""Reduce airspeed to 30 m/s and deploy flaps 15°"", ""Decrease pitch to -1° and descend at 10 m/s"", ""Hold attitude steady and reduce throttle to 60%""]","Increased airspeed compensates for reduced lift due to ice-contaminated wings and lower air density at 4000 m. Maintaining pitch avoids exceeding critical angle of attack while thrust counters higher drag. This balances lift, drag, and thrust for safe flight in deteriorating aerodynamic conditions." 2025-11-01T18:03:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_in_Urban_Canyon_with_Snowfall_90a578c96dc5_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_in_Urban_Canyon_with_Snowfall,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which system ensures safe navigation at 120m AGL with -85 dBm GNSS, 4.2 m/s gusts, and a moving no-fly zone at 2.5 m/s?","This scenario involves an offshore platform inspection mission conducted in an urban canyon environment using an octocopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs under poor visibility due to snowfall and icing conditions, with moderate to strong winds increasing with altitude and gusts up to 4.2 m/s. The urban canyon setting introduces significant GNSS multipath, electromagnetic interference, and a weak GNSS signal at -85 dBm, challenging positioning accuracy. The UAV must navigate within a defined airspace corridor from 10 to 120 meters AGL, avoiding both static and dynamic no-fly zones, including a moving cylindrical exclusion zone traveling at 2.5 m/s. A second UAV enters the airspace on a crossing path, requiring separation assurance with a minimum distance threshold of 25 meters and time-to-closest approach of 10 seconds. The mission follows a corridor inspection pattern across five waypoints, with a strict 600-second time budget and reserved 30% battery for safe return. The UAV experiences a simulated icing event at 200 seconds, reducing performance for one minute, while also enduring two brief communication downlink outages. Launching from a fixed point, the UAV must prioritize landing at the designated site unless an emergency arises, with battery endurance being a critical constraint due to high power draw in windy conditions. Notable risks include wind shear, sensor degradation from icing, GNSS signal loss, and collision avoidance in confined, obstacle-rich space. Success depends on robust navigation under degraded conditions, adherence to safety margins, and timely mission completion despite environmental and system challenges.",High-gain GNSS with mechanical gimbal for camera stability,Visual-inertial odometry with lightweight thermal sensor,Dual RTK-GPS with lidar-based obstacle detection and wind-resistant control,Single-frequency GNSS with basic RTH and no gust compensation,Preplanned path with open-loop execution and no dynamic replanning,LiDAR-only navigation ignoring thermal and RGB data fusion,Ultrasonic-altitude hold with uncorrected IMU drift in snow,"[""High-gain GNSS with mechanical gimbal for camera stability"", ""Visual-inertial odometry with lightweight thermal sensor"", ""Dual RTK-GPS with lidar-based obstacle detection and wind-resistant control"", ""Single-frequency GNSS with basic RTH and no gust compensation"", ""Preplanned path with open-loop execution and no dynamic replanning"", ""LiDAR-only navigation ignoring thermal and RGB data fusion"", ""Ultrasonic-altitude hold with uncorrected IMU drift in snow""]","C provides robust positioning via dual RTK-GPS to counter multipath and weak signal, while LiDAR enables dynamic obstacle avoidance for the moving exclusion zone. Its wind-resistant control maintains stability under 4.2 m/s gusts and icing-induced performance loss. Other options lack fault tolerance, environmental adaptability, or real-time replanning critical for safety and mission success." 2025-11-01T18:03:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_in_Snowfall_f23aeb50d404_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_in_Snowfall,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,F,False,"At 240s, icing reduces performance; UAV must complete inspection within 10-minute budget, 13.5 m/s winds, and maintain 25m separation.","This is an offshore platform inspection mission conducted in a wind farm airspace under poor visibility with active snowfall and icing conditions. The UAV is a fuel-powered helicopter equipped with RGB and thermal cameras, LiDAR, radar, and full navigation sensors for close-range structural inspection. It operates within a 10–150 m AGL altitude band, navigating around static and dynamic no-fly zones, including a moving obstacle and shifting restricted cylinder. The environment features strong winds up to 13.5 m/s increasing with altitude, wind shear, GNSS multipath, moderate jamming, and electromagnetic interference. The mission requires precise waypoint tracking in a corridor pattern with a 10-minute time budget, starting from a fixed spawn near the platform. A second UAV is present in the airspace, requiring separation maintenance of at least 25 meters and 20 seconds time-to-closest-approach. The helicopter must manage fuel efficiently while enduring a simulated icing event at 240 seconds into the flight, reducing performance. Communication experiences brief downlink outages, and the system must maintain adequate link quality throughout. Landing options include a preferred return site and an emergency zone, with strict geofence and NFZ compliance required.",Climb to 150m for clearer GNSS and reduce payload power,"Descend to 10m AGL, slow speed, and disable LiDAR",Continue original path at 80% throttle with full sensors,Abort mission immediately and return to base,Increase altitude rapidly to avoid moving obstacle ahead,Switch to thermal-only mode and shorten inspection corridor,"Maintain heading, boost engine to counteract icing drag","[""Climb to 150m for clearer GNSS and reduce payload power"", ""Descend to 10m AGL, slow speed, and disable LiDAR"", ""Continue original path at 80% throttle with full sensors"", ""Abort mission immediately and return to base"", ""Increase altitude rapidly to avoid moving obstacle ahead"", ""Switch to thermal-only mode and shorten inspection corridor"", ""Maintain heading, boost engine to counteract icing drag""]","Switching to thermal-only reduces power draw while preserving critical inspection capability. Shortening the corridor conserves fuel under performance loss from icing. This balances mission utility, endurance, and safety within time and energy limits." 2025-11-01T18:03:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_under_Rain_1f75e1c9436b_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_under_Rain,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 110 m altitude, 12 m/s wind, and 30s GNSS jamming, which action ensures fault-resilient inspection within 600s?","This mission involves inspecting an offshore platform using an amphibious UAV equipped with RGB and thermal cameras, LiDAR, and radar. The operation takes place in a defined offshore airspace with a maximum altitude of 120 meters AGL and a geofenced rectangular zone. Weather conditions include moderate rain, poor visibility, and a lightning risk, with winds increasing from 8 m/s at sea level to 12 m/s at 100 meters. The UAV is a hybrid fixed-wing multirotor with a 650 Wh battery, carrying a 1.2 kg payload, and must navigate around static and moving obstacles. Key constraints include a cylindrical no-fly zone near the platform and a dynamically moving no-fly zone that shifts southwest at 1.8 m/s. The UAV must maintain separation of at least 25 meters from other traffic, with a nearby UAV flying at 18 m/s on a 260-degree heading. GNSS signals are subject to jamming at -85 dBm, and an intentional jamming fault occurs at 120 seconds, lasting 30 seconds. Communication suffers from intermittent downlink loss, particularly between 400 and 430 seconds, limiting telemetry. The mission must be completed within 600 seconds, requires a runway for transition, and includes fault resilience testing for GNSS and IMU disturbances.",Climb to 120 m for clearer radar returns,Descend to 80 m to reduce wind load,Hold at 110 m using IMU and radar fusion,Accelerate to 20 m/s to exit jamming zone,Turn 30° toward the moving no-fly zone,Circle at 100 m to wait out jamming,Switch to multirotor mode at 50 m AGL,"[""Climb to 120 m for clearer radar returns"", ""Descend to 80 m to reduce wind load"", ""Hold at 110 m using IMU and radar fusion"", ""Accelerate to 20 m/s to exit jamming zone"", ""Turn 30° toward the moving no-fly zone"", ""Circle at 100 m to wait out jamming"", ""Switch to multirotor mode at 50 m AGL""]","Maintaining 110 m balances wind exposure and radar coverage while conserving energy. Fusing IM UI and radar sustains navigation during GNSS outage without violating altitude or separation limits. Other options risk collision, energy waste, or geofence breaches under dynamic constraints." 2025-11-01T18:03:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_with_Amphibious_UAV_014eb606486d_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_with_Amphibious_UAV,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"Which action optimizes energy, safety, and coordination at 420s with 12 m/s winds and microburst risk?","This mission involves an offshore platform inspection using an amphibious fixed-wing UAV equipped with RGB and thermal cameras, LIDAR, and full navigation sensors. The operation takes place near a bridge site in coastal airspace with strong winds averaging 8.5 m/s and increasing to 12 m/s at higher altitudes, with wind direction shifting from 240° to 260°. Weather conditions include a microburst risk and good visibility, but with potential GNSS multipath and electromagnetic interference. The UAV has a battery capacity of 450 Wh and must maintain a 30% reserve, limiting its available energy for the 10-minute time-constrained mission. Flight is restricted between 5 m and 120 m AGL within a polygonal geofence, with a cylindrical no-fly zone around a critical structure at coordinates (75,100) from 10 m to 60 m altitude. A moving spherical obstacle drifts southward through the no-fly zone, requiring real-time avoidance. The UAV must follow a corridor inspection pattern with five waypoints and perform a runway-assisted landing at the designated threshold. It transitions between VTOL and forward flight modes with defined transition times and must handle two fault events: a GNSS jamming incident at 240 seconds and a high-severity microburst risk at 420 seconds. Communication includes uplink availability but intermittent downlink loss during the microburst, impacting data transmission. Air traffic includes another UAV approaching from the south, and separation must be maintained above 25 meters with a time-to-closest-approach threshold of 15 seconds.",Climb to 120 m for stable airflow and GNSS recovery,Descend to 5 m AGL to minimize wind exposure,"Hold position at 45 m, reduce speed, and bank into wind",Accelerate forward to exit no-fly zone early,Circle at 65 m to avoid obstacle and maintain comms,Transition to VTOL and hover until microburst passes,"Follow corridor at 30 m, adjust heading to 250°, and throttle to 75%","[""Climb to 120 m for stable airflow and GNSS recovery"", ""Descend to 5 m AGL to minimize wind exposure"", ""Hold position at 45 m, reduce speed, and bank into wind"", ""Accelerate forward to exit no-fly zone early"", ""Circle at 65 m to avoid obstacle and maintain comms"", ""Transition to VTOL and hover until microburst passes"", ""Follow corridor at 30 m, adjust heading to 250°, and throttle to 75%""]","Flying at 30 m balances wind turbulence avoidance and geofence compliance while 75% throttle sustains airspeed without excessive energy use. Adjusting heading to 250° aligns with wind shift, improving stability and reducing drift into obstacles. This maintains corridor tracking, supports data continuity before downlink loss, and preserves battery for landing with 30% reserve." 2025-11-01T18:03:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_with_Convertiplane_in_Dusty_Urban_Airspace_70fcfc7e2ee7_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_with_Convertiplane_in_Dusty_Urban_Airspace,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"With 45 min endurance, 60% battery at start, and dust reducing visibility, which action maximizes inspection time near the platform?","This mission involves inspecting an offshore platform using a convertiplane UAV in dense urban airspace with poor visibility due to dust. The UAV operates within a defined geofenced area, avoiding static and dynamic no-fly zones, including a central restricted cylinder and a moving obstacle. Weather conditions include moderate to strong winds increasing with altitude, gusts, and dust, impacting visibility and flight stability. The convertiplane is equipped with RGB and thermal cameras for inspection, supported by GNSS, IMU, and LiDAR for navigation. GNSS signals are degraded due to multipath effects and electromagnetic interference, requiring robust sensor fusion. The flight profile includes transitioning between vertical and forward flight, with a required runway approach for landing. The UAV must maintain separation from other air traffic and a moving obstacle while adhering to altitude and lateral constraints. Communication experiences brief downlink and uplink losses, affecting command reliability. The mission emphasizes safe navigation, energy management, and successful waypoint completion within time and battery limits.",Ascend rapidly to 150m for clearer GNSS signals,Fly direct at max speed to reach platform early,Reduce camera resolution to save power and extend loiter,Circle at 50m altitude waiting for visibility improvement,Switch to thermal-only mode and disable LiDAR,Attempt repeated uplink retries during communication loss,Hover continuously using IMU-GPS fusion for positioning,"[""Ascend rapidly to 150m for clearer GNSS signals"", ""Fly direct at max speed to reach platform early"", ""Reduce camera resolution to save power and extend loiter"", ""Circle at 50m altitude waiting for visibility improvement"", ""Switch to thermal-only mode and disable LiDAR"", ""Attempt repeated uplink retries during communication loss"", ""Hover continuously using IMU-GPS fusion for positioning""]","Reducing camera resolution cuts power draw, preserving battery for longer inspection within visibility limits. It balances sensor utility and energy efficiency. Other options waste energy on climbs, retries, or hovering under degraded conditions." 2025-11-01T18:03:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_with_Convertiplane_in_Dusty_Conditions_dd4b2f42129c_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_with_Convertiplane_in_Dusty_Conditions,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"At 110 m AGL in 35-knot winds, how should the convertiplane adjust pitch and power during transition to forward flight to maintain lift and control?","This scenario involves an offshore platform inspection using a convertiplane UAV equipped with RGB and thermal cameras, operating near an airport perimeter. The mission takes place in poor visibility due to dust, with moderate to strong winds increasing with altitude and shifting direction. The UAV must navigate a predefined corridor pattern while avoiding a cylindrical no-fly zone around the platform and adhering to altitude limits between 10 and 120 meters AGL. GNSS signals are degraded by multipath effects and mild jamming, and electromagnetic interference is present. The convertiplane faces energy constraints with a battery reserve requirement of 30%, and must manage power efficiently during transitions between hover and forward flight. A moving spherical obstacle descends through the airspace, requiring dynamic avoidance. The mission requires use of a designated runway for landing, with one preferred and two emergency landing sites available. Communication links experience brief downlink outages, and the UAV must maintain separation from another incoming UAV traffic on a collision course. Flight performance is monitored for geofence breaches, NFZ clearance, battery levels, collision events, DAA thresholds, and mission success. The environment poses significant challenges including wind shear, sensor degradation, and limited maneuvering space near critical infrastructure.",Increase pitch to 15° and reduce power to save battery,Hold pitch at 5° and increase power to overcome headwind,Decrease pitch to 0° and cut power for faster descent,Increase pitch to 12° while maintaining hover power,Reduce pitch to -5° and boost power to dive through dust,Maintain 8° pitch and modulate thrust for airspeed stability,Maximize pitch to 20° to generate immediate lift,"[""Increase pitch to 15° and reduce power to save battery"", ""Hold pitch at 5° and increase power to overcome headwind"", ""Decrease pitch to 0° and cut power for faster descent"", ""Increase pitch to 12° while maintaining hover power"", ""Reduce pitch to -5° and boost power to dive through dust"", ""Maintain 8° pitch and modulate thrust for airspeed stability"", ""Maximize pitch to 20° to generate immediate lift""]","At high wind and altitude, maintaining 8° pitch with thrust modulation balances angle of attack and airspeed to stay within stall margin and lift-to-drag efficiency. Increasing pitch without sufficient airspeed risks flow separation and stall due to reduced Reynolds number in dusty, low-density air. Thrust modulation counters wind shear and sustains control during transition while optimizing power use toward the 30% reserve." 2025-11-01T18:03:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_with_Helicopter_UAV_a915aa2bfe4d_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_with_Helicopter_UAV,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which system maximizes inspection accuracy and safety within 600 s, 30% battery reserve, and a 5-m no-fly zone at (25,20)?","This mission involves inspecting an indoor warehouse using a battery-powered helicopter UAV equipped with RGB and thermal cameras, LIDAR, and standard navigation sensors. The flight occurs in a confined indoor airspace with a maximum altitude of 25 meters AGL and a minimum safe height of 0.5 meters. Weather conditions are mild, with a steady 3 m/s wind from the south and good visibility, though gusts up to 2 m/s may affect stability. The UAV has a total mass of 12.5 kg, including a 1.2 kg payload, and relies on GNSS, IMU, and barometric data for positioning and altitude control. A cylindrical no-fly zone with a 5-meter radius is centered at (25, 20) within the geofenced rectangular area spanning 50x40 meters. The mission follows a corridor inspection pattern across five waypoints, requiring precise navigation around the restricted central zone. The UAV must complete the mission within 600 seconds while maintaining safe separation from airspace boundaries and the no-fly zone. Battery endurance is limited, with a reserve of 30% required for safe return to the preferred landing site at (5, 5, 0). Communication links are stable, with sufficient signal strength to support command uplink and telemetry downlink throughout the flight. The scenario emphasizes precision flight control, energy management, and adherence to strict spatial constraints in a GPS-challenged indoor environment.","High-res RGB only, no thermal, minimal processing","Thermal only, low-power LIDAR, GNSS-dependent","Full sensor suite with sensor fusion, 1.2 kg payload","Lightweight camera, no LIDAR, extended endurance","Dual IMUs, no LIDAR, reduced payload for stability","GNSS-only navigation, no IMU redundancy, fast transit","Vision-only SLAM, no GNSS, high processing latency","[""High-res RGB only, no thermal, minimal processing"", ""Thermal only, low-power LIDAR, GNSS-dependent"", ""Full sensor suite with sensor fusion, 1.2 kg payload"", ""Lightweight camera, no LIDAR, extended endurance"", ""Dual IMUs, no LIDAR, reduced payload for stability"", ""GNSS-only navigation, no IMU redundancy, fast transit"", ""Vision-only SLAM, no GNSS, high processing latency""]","System C uses the full sensor suite and fusion to maintain accuracy in GPS-challenged indoor space while meeting payload and obstacle avoidance needs. It balances energy use, redundancy, and precision to safely navigate the no-fly zone and complete the corridor pattern within time and battery limits. Other systems sacrifice critical sensing, safety, or reliability, increasing risk of collision or mission failure." 2025-11-01T18:03:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_with_Helicopter_UAV_3b548fed427d_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_with_Helicopter_UAV,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Plan a route inspecting powerline waypoints within 600 s, avoiding a moving obstacle and maintaining 25 m separation from a UAV at 70 m.","This mission involves inspecting infrastructure along a powerline corridor using a helicopter UAV. The operation takes place in a defined airspace with a maximum altitude of 150 meters AGL and includes both static and moving no-fly zones. Weather conditions feature a westerly wind of 6 m/s at ground level, increasing to 11 m/s at 200 meters with directional shear. The UAV is a single-rotor helicopter equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It has a total mass of 15 kg, including a 2 kg payload, and relies solely on battery power with a reserve of 30%. GNSS signals are subject to multipath interference and moderate jamming at -85 dBm, with additional electromagnetic interference present. The flight area is constrained by a polygonal geofence and includes a dynamic obstacle moving through the corridor. Air traffic includes another UAV flying at 70 meters altitude on a fixed path, requiring separation of at least 25 meters. Communication links experience two brief loss windows during the mission, potentially affecting command and data transmission. The helicopter must complete its inspection waypoint route within 600 seconds while managing battery life and avoiding all obstacles and airspace violations.","Fly direct at 140 m AGL, ignore wind drift",Descend to 60 m AGL between waypoints,Reroute east at 150 m AGL to avoid obstacle,Delay departure by 45 s to sync with UAV,Climb to 160 m AGL for clearer GNSS,"Follow obstacle path at 100 m AGL, same heading",Bank left at 3 m/s lateral speed near NFZ,"[""Fly direct at 140 m AGL, ignore wind drift"", ""Descend to 60 m AGL between waypoints"", ""Reroute east at 150 m AGL to avoid obstacle"", ""Delay departure by 45 s to sync with UAV"", ""Climb to 160 m AGL for clearer GNSS"", ""Follow obstacle path at 100 m AGL, same heading"", ""Bank left at 3 m/s lateral speed near NFZ""]","Rerouting east at 150 m AGL avoids the dynamic obstacle while staying within altitude limits and preserving separation from the 70 m UAV. It minimizes time loss and respects GNSS multipath constraints by avoiding higher altitudes with stronger interference. Other options violate AGL limits, increase collision risk, or fail to account for wind shear and communication latency." 2025-11-01T18:03:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_with_Helicopter_UAV_under_Dust_Conditions_067ba7890352_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_with_Helicopter_UAV_under_Dust_Conditions,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"With GNSS degraded, 12 m/s gusts, and visibility <1 km, which navigation strategy ensures geofence compliance and obstacle avoidance within 600 s?","This mission involves inspecting an offshore platform using a helicopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place in a defined offshore airspace with a geofenced area and two no-fly zones, one of which is dynamic and moving. Weather conditions include moderate winds up to 12 m/s with gusts, poor visibility due to dust, and a wind profile that changes with altitude. The UAV is battery-powered with a total capacity of 1500 Wh and carries a 2.5 kg payload, limiting its endurance and requiring efficient route planning. GNSS signals are degraded due to multipath effects and electromagnetic interference, with mild jamming present, challenging positioning accuracy. The UAV must maintain separation of at least 25 meters from other traffic and avoid collisions with a moving spherical obstacle. A second UAV is present in the airspace, traveling on a fixed trajectory, requiring detect-and-avoid logic to prevent breaches. Communication links experience two brief loss windows, and signal strength may drop to -90 dBm, risking data downlink interruptions. The mission must be completed within 600 seconds, returning to the starting point while avoiding altitude violations and geofence breaches. Battery reserve is set to 30%, and the UAV must land safely at the preferred or emergency site with sufficient energy margin.",Prioritize GNSS and reduce speed by 30% to improve fix stability,Switch to IMU-visual-LiDAR fusion with dynamic wind compensation,Rely on thermal camera for relative positioning to the platform,Use LiDAR-only SLAM assuming dust does not affect laser returns,Maintain heading using magnetometer despite platform interference,Follow the second UAV's path to infer safe corridor,Descend to 20 m to minimize wind effects and improve GNSS signal,"[""Prioritize GNSS and reduce speed by 30% to improve fix stability"", ""Switch to IMU-visual-LiDAR fusion with dynamic wind compensation"", ""Rely on thermal camera for relative positioning to the platform"", ""Use LiDAR-only SLAM assuming dust does not affect laser returns"", ""Maintain heading using magnetometer despite platform interference"", ""Follow the second UAV's path to infer safe corridor"", ""Descend to 20 m to minimize wind effects and improve GNSS signal""]","IMU-visual-LiDAR fusion compensates for GNSS degradation and multipath, while incorporating wind-aware motion models improves trajectory prediction. Visual and LiDAR data provide redundancy against dust-induced visibility loss and enable precise obstacle tracking. This approach maintains geofence integrity, avoids the moving obstacle, and supports time-constrained return with sufficient energy reserve." 2025-11-01T18:03:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_with_Moving_NFZ_cf58f1b8d9a8_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_with_Moving_NFZ,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"Given 8.2 m/s winds at 245°, 1250 Wh battery, and 600 s mission, which action optimizes inspection completion with 30% reserve and 25 m separation?","This scenario involves an offshore platform inspection mission using an amphibious UAV equipped with RGB and thermal cameras, LiDAR, and radar. The operation takes place in a defined offshore airspace with a rectangular geofence and both static and moving no-fly zones. Weather conditions include moderate winds at 8.2 m/s from 245°, increasing with altitude, along with poor visibility due to dust. The UAV is a heavy-lift hexacopter with fixed-wing aerodynamic features, powered solely by a 1250 Wh battery, carrying a 2.1 kg inspection payload. Key constraints include a dynamic NFZ moving at 3.35 m/s, requiring real-time avoidance, and a minimum safe altitude of 5 m AGL. GNSS signals are degraded by multipath effects and interference, with a jamming level of -75 dBm and brief comms outages. Air traffic includes a conflicting UAV on a diagonal flight path through the airspace. The mission must be completed within 600 seconds, following a corridor inspection pattern across four waypoints. Separation assurance is enforced with a 25 m minimum distance and 15 s time-to-close threshold. The UAV must manage energy carefully, as reserve power is set at 30% and wind-induced drag increases power consumption.",Climb to 50 m AGL for better GNSS signal and wind clearance,"Fly direct path at 15 m AGL, ignoring dynamic NFZ for efficiency",Reduce speed to 8 m/s to lower drag and conserve energy,Descend to 5 m AGL and accelerate to minimize wind exposure time,"Delay launch until comms stabilize, accepting mission time loss","Follow corridor pattern at 12 m AGL, adjusting heading for wind drift","Prioritize thermal scan first, accepting higher power use near platform","[""Climb to 50 m AGL for better GNSS signal and wind clearance"", ""Fly direct path at 15 m AGL, ignoring dynamic NFZ for efficiency"", ""Reduce speed to 8 m/s to lower drag and conserve energy"", ""Descend to 5 m AGL and accelerate to minimize wind exposure time"", ""Delay launch until comms stabilize, accepting mission time loss"", ""Follow corridor pattern at 12 m AGL, adjusting heading for wind drift"", ""Prioritize thermal scan first, accepting higher power use near platform""]","Flying the corridor at 12 m AGL respects the minimum safe altitude while balancing wind resistance and sensor coverage. Adjusting heading compensates for 8.2 m/s crosswinds from 245°, maintaining flight stability and navigation accuracy. This preserves energy under increased drag, ensures NFZ avoidance, and completes the mission within 600 s while keeping 30% reserve and 25 m separation from conflicting UAV." 2025-11-01T18:03:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_with_Octocopter_f51cd2824d31_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_with_Octocopter,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 240s, GNSS jamming and comms loss occur; wind is 8.5 m/s with lightning risk. What is the safest immediate action?","This mission involves inspecting an offshore platform using an octocopter UAV equipped with RGB and thermal cameras, as well as radar for obstacle detection. The flight occurs in rural offshore airspace with a defined geofenced area spanning 500x500 meters and altitude limits from 10 to 120 meters AGL. Weather conditions include strong winds at 8.5 m/s from 240 degrees, gusts up to 4.0 m/s, and a risk of lightning, requiring careful flight management. The octocopter has a battery capacity of 4500 Wh and carries a 1.2 kg payload, with sufficient endurance for the 600-second mission duration. A static no-fly zone is located at the center of the airspace, and a dynamic no-fly zone moves through the area, adding complexity to path planning. Additionally, a moving spherical obstacle travels diagonally through the environment, requiring real-time avoidance. The UAV must maintain separation of at least 25 meters from other traffic, with a time-to-closest-approach threshold of 15 seconds. During the mission, a GNSS jamming fault occurs at 240 seconds, lasting 30 seconds with high severity, coinciding with a comms downlink loss window. The UAV relies on multiple sensors including IMU, barometer, and magnetometer to navigate during GNSS outages and mitigate multipath risks near the platform. The mission emphasizes safe inspection routing, fault resilience, and adherence to airspace constraints.",Continue inspection using IMU and barometer data,Descend to 10 m AGL to reduce wind exposure,Exit geofence and return to launch point,Climb to 120 m AGL for better signal reception,Hover in place until GNSS signal recovers,Fly toward the moving obstacle for visual tracking,Transmit stored data using low-bandwidth fallback,"[""Continue inspection using IMU and barometer data"", ""Descend to 10 m AGL to reduce wind exposure"", ""Exit geofence and return to launch point"", ""Climb to 120 m AGL for better signal reception"", ""Hover in place until GNSS signal recovers"", ""Fly toward the moving obstacle for visual tracking"", ""Transmit stored data using low-bandwidth fallback""]","GNSS and comms failure at 240s creates high navigation uncertainty near critical infrastructure. Continuing or hovering risks collision due to wind and dynamic obstacles. Exiting the geofence prioritizes safety, complies with lawful airspace rules, and minimizes risk to human life and property despite mission interruption." 2025-11-01T18:03:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_with_Swarm_Drones_in_Rain_b390b0994dc9_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_with_Swarm_Drones_in_Rain,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"Given 10m swarm separation, 25m avoid threshold, and degraded GNSS, what action minimizes risk during inspection near the oil platform?","This mission involves a swarm of four inspection drones operating offshore near an oil platform. The airspace is restricted with a cylindrical no-fly zone around critical infrastructure. Weather conditions include moderate wind from the southwest, gusts, and persistent rain reducing visibility. The UAVs are battery-powered octocopters equipped with RGB and thermal cameras, LiDAR, and full suite navigation sensors. GNSS signals are degraded due to multipath effects, and electromagnetic interference is present. Drones must maintain minimum 10-meter separation within the swarm and avoid a moving obstacle near the platform. A secondary UAV is present in the airspace, requiring detect-and-avoid compliance with 25-meter separation threshold. Communication links experience brief dropouts, impacting uplink/downlink reliability. The mission requires completing a structured inspection orbit around key points, including a loiter near the platform center. All drones must return safely within battery and time limits, avoiding geofence and altitude violations.",Climb to 60m AGL for better signal and loiter,Descend to 30m AGL and proceed on visual alignment,Reduce swarm speed and activate LiDAR obstacle tracking,Split swarm to orbit structure from multiple vectors,Abort mission and return via southwest approach,Increase separation to 15m and ascend through rain layer,Hold position at 40m AGL with cameras active,"[""Climb to 60m AGL for better signal and loiter"", ""Descend to 30m AGL and proceed on visual alignment"", ""Reduce swarm speed and activate LiDAR obstacle tracking"", ""Split swarm to orbit structure from multiple vectors"", ""Abort mission and return via southwest approach"", ""Increase separation to 15m and ascend through rain layer"", ""Hold position at 40m AGL with cameras active""]","Reducing speed improves control in degraded GNSS and high wind, while LiDAR mitigates vision and multipath limitations. It maintains separation and avoids NFZ violations better than alternatives. Other options either increase risk of collision, exceed separation tolerances, or waste battery under poor conditions." 2025-11-01T18:03:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_with_Swarm_Drones_1202d5f47056_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_with_Swarm_Drones,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During 30-second GNSS jamming at 100m AGL with 10 m/s winds, how should drones maintain position integrity and separation?","This scenario involves a swarm drone inspection mission near an offshore platform within airport perimeter airspace. The operation takes place in moderate wind conditions of 6 m/s from the south, increasing to 10 m/s at 100 meters altitude with shifting direction. Thermal updrafts are present at two locations, providing potential lift but introducing turbulence. Four battery-powered hexacopter drones with RGB and thermal cameras, radar, and full sensor suites conduct the mission. The drones must navigate around a static no-fly zone near the platform and avoid a moving obstacle and dynamic exclusion zone. Strict separation requirements of 10 meters between drones and a 25-meter DAA threshold must be maintained. GNSS multipath and interference are present, with a planned 30-second GNSS jamming fault and communication dropouts. Flight is constrained between 10 and 120 meters AGL within a defined polygon geofence. The mission must be completed within 600 seconds while managing battery reserve and environmental disturbances.",Rely solely on unencrypted visual odometry for positioning,Switch to encrypted INS-GPS fused navigation with radar altimeter backup,Hover using unverified commands from a single ground station,Disable collision avoidance to conserve battery during jamming,Use open Wi-Fi for peer-to-peer relative positioning,Descend immediately below 10m AGL to avoid turbulence and spoofing,Broadcast unauthenticated keep-alive signals to maintain swarm sync,"[""Rely solely on unencrypted visual odometry for positioning"", ""Switch to encrypted INS-GPS fused navigation with radar altimeter backup"", ""Hover using unverified commands from a single ground station"", ""Disable collision avoidance to conserve battery during jamming"", ""Use open Wi-Fi for peer-to-peer relative positioning"", ""Descend immediately below 10m AGL to avoid turbulence and spoofing"", ""Broadcast unauthenticated keep-alive signals to maintain swarm sync""]","Encrypted INS-GPS fusion ensures data integrity and continuity during GNSS jamming, while radar altimetry provides trusted altitude under multipath. This maintains control stability and separation despite cyber interference and wind disturbances. Other options expose the swarm to spoofing, loss of coordination, or physical instability." 2025-11-01T18:03:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_with_VTOL_Tiltrotor_cc4a9144ebc2_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_with_VTOL_Tiltrotor,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"At 205 seconds, UAV must inspect waypoint W3 (140m AGL) while avoiding a moving spherical obstacle and GNSS jamming at -75 dBm.","This mission involves inspecting infrastructure using a VTOL tiltrotor UAV in a desert airspace. The UAV is equipped with radar, RGB and thermal cameras, and relies on GNSS, IMU, and other sensors for navigation. Operations occur within a defined polygonal airspace with altitude limits from 10 to 300 meters AGL. A static no-fly zone protects a sensitive area, while a dynamic no-fly zone moves slowly across the environment. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV on a straight trajectory. Weather includes moderate surface winds of 8 m/s from 240°, increasing to 15 m/s at 200 meters with wind shear and a lightning risk. GNSS performance may degrade due to jamming at -75 dBm and electromagnetic interference. The mission requires a runway approach for landing and includes fault scenarios such as GNSS jamming and IMU bias. Communication dropouts are expected between 200–210 and 500–520 seconds, challenging command and control.","Climb to 250m AGL, reroute east to avoid obstacle, use IMU-only navigation","Descend to 100m AGL, fly direct to W3 using thermal camera guidance","Maintain 140m AGL, adjust heading to bypass obstacle westward, delay W3 by 15s","Hold position at 140m AGL until obstacle clears path, resume course","Ascend to 300m AGL, overfly obstacle and NFZ, proceed to W3 on heading 090","Turn north to 350°, descend to 50m AGL, rejoin path after communication resumes","Proceed straight to W3 at 140m AGL, relying on degraded GNSS for positioning","[""Climb to 250m AGL, reroute east to avoid obstacle, use IMU-only navigation"", ""Descend to 100m AGL, fly direct to W3 using thermal camera guidance"", ""Maintain 140m AGL, adjust heading to bypass obstacle westward, delay W3 by 15s"", ""Hold position at 140m AGL until obstacle clears path, resume course"", ""Ascend to 300m AGL, overfly obstacle and NFZ, proceed to W3 on heading 090"", ""Turn north to 350°, descend to 50m AGL, rejoin path after communication resumes"", ""Proceed straight to W3 at 140m AGL, relying on degraded GNSS for positioning""]","Maintaining 140m AGL stays within inspection altitude and avoids wind shear near 200m. Westward deviation bypasses the obstacle without violating static/dynamic NFZs. This balances timing, sensor limitations, and fault tolerance during GNSS degradation." 2025-11-01T18:03:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Loiter_Mission_with_Lightning_Risk_8043a10dce8c_mcq.json,uavbench-mcq-v1,Offshore_Platform_Loiter_Mission_with_Lightning_Risk,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 30m AGL, 8 m/s wind from 240°, and 2 m/s westward obstacle drift, which maneuver minimizes collision risk while maintaining lift in gusts?","This is an inspection mission using a quadrotor UAV equipped with an RGB camera, operating near an offshore platform. The flight occurs in controlled offshore airspace with a maximum altitude of 120 meters AGL and a minimum of 10 meters. Winds are from 240 degrees at 8 m/s with 4 m/s gusts, and there is a risk of lightning, requiring rapid decision-making. The UAV has a battery capacity of 320 Wh and a payload of 0.3 kg, limiting flight endurance and maneuverability. A cylindrical no-fly zone is enforced around the platform center, extending from 10 to 80 meters altitude with a 20-meter radius. The mission involves orbiting key waypoints at 30 meters altitude within a 200x200 meter geofenced area. A second UAV moves through the airspace on a fixed path, requiring separation monitoring with a 25-meter threshold. A moving spherical obstacle drifts westward at 2 m/s near one of the waypoints, adding dynamic collision risk. GNSS jamming is expected at 300 seconds for 30 seconds with high severity, challenging navigation reliability. Communication includes a brief downlink loss window, and the UAV must land at a preferred or emergency site before battery reserve levels are breached.",Increase climb rate to 1.5 m/s to clear obstacle,Reduce airspeed to 3 m/s to improve camera stability,Bank 35° toward platform to shorten orbit radius,Pitch up 12° and hold altitude with full lift,Yaw rapidly to face wind and reduce side slip,Descend to 15 m AGL to avoid gust layer,Adjust heading 15° east of orbit tangent to compensate drift,"[""Increase climb rate to 1.5 m/s to clear obstacle"", ""Reduce airspeed to 3 m/s to improve camera stability"", ""Bank 35° toward platform to shorten orbit radius"", ""Pitch up 12° and hold altitude with full lift"", ""Yaw rapidly to face wind and reduce side slip"", ""Descend to 15 m AGL to avoid gust layer"", ""Adjust heading 15° east of orbit tangent to compensate drift""]","Wind from 240° and gusts increase relative airspeed on the western orbit segment, requiring crab alignment to maintain ground track and aerodynamic efficiency. Option G compensates for westward obstacle drift with a heading offset, preserving lift-to-drag ratio and minimizing lateral deviation. Other choices either exceed structural load limits, induce stall at low airspeed, or increase collision risk by altering vertical or lateral flight envelopes unsafely." 2025-11-01T18:03:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Mapping_VTOL_5403df6fa8f8_mcq.json,uavbench-mcq-v1,Offshore_Platform_Mapping_VTOL,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"Plan route adjusting for 8 m/s winds, dynamic NFZ, and GNSS jamming at 300s while mapping below 120m AGL.","This is a VTOL tiltrotor UAV mission for offshore platform mapping. The operation takes place in a defined offshore airspace near a platform with strict altitude limits from 10 to 120 meters AGL. Weather includes 8 m/s winds from 220 degrees with gusts up to 4.5 m/s and a risk of lightning. The UAV is equipped with radar and an RGB camera for data collection, powered entirely by a 1200 Wh battery. A static no-fly zone surrounds the platform center, and a dynamic no-fly zone moves through the area, requiring real-time avoidance. The UAV must follow a grid mapping pattern while avoiding a moving obstacle and another UAV on a collision course. GNSS jamming is expected at 300 seconds into the flight, lasting 20 seconds, with potential communication loss around the same time. The flight begins at 50,50,30 with a 90-degree yaw and must return to a designated landing site. Battery reserve is set to 30%, and strict separation thresholds are enforced for detect-and-avoid compliance. Mission success depends on completing waypoints, avoiding breaches, and landing safely within the 600-second time limit.",Climb to 130m AGL to avoid dynamic NFZ early,Delay takeoff to wait for GNSS jamming to end,Proceed directly through static NFZ to save time,"Reroute westward at 110m AGL, maintaining separation",Descend to 5m AGL to evade moving obstacle quickly,"Hold position at 50,50,30 until second UAV clears path",Continue planned grid despite jamming onset at 300s,"[""Climb to 130m AGL to avoid dynamic NFZ early"", ""Delay takeoff to wait for GNSS jamming to end"", ""Proceed directly through static NFZ to save time"", ""Reroute westward at 110m AGL, maintaining separation"", ""Descend to 5m AGL to evade moving obstacle quickly"", ""Hold position at 50,50,30 until second UAV clears path"", ""Continue planned grid despite jamming onset at 300s""]","Rerouting west at 110m AGL respects the 120m AGL ceiling and avoids both NFZs while preserving mission time. It maintains safe separation from the moving obstacle and UAV, and positions the aircraft favorably for GNSS-denied navigation using terrain-relative sensors. Other options violate altitude limits, waste battery, or breach no-fly zones." 2025-11-01T18:03:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Recon_with_Heavy_Lift_Fixed-Wing_UAV_4844f70cde7c_mcq.json,uavbench-mcq-v1,Offshore_Platform_Recon_with_Heavy_Lift_Fixed-Wing_UAV,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 110 m AGL, 8.5 m/s crosswind from 240°, and 3 min remaining, how to handle intruding UAV and dynamic NFZ?","Heavy-lift fixed-wing UAV conducts offshore platform reconnaissance in restricted airspace. Mission involves area survey using a corridor flight pattern near critical infrastructure. Operating altitude ranges from 30 to 120 meters AGL within a defined geofenced zone. Strong crosswinds at 8.5 m/s from 240° challenge flight stability and navigation. UAV is equipped with radar, RGB and thermal cameras for comprehensive data collection. A static no-fly zone protects a central platform structure, while a dynamic no-fly zone moves due to shifting hazards. Additional moving obstacles and an intruding UAV increase collision risks. GNSS multipath effects are likely due to proximity to metallic structures. Strict separation thresholds require maintaining at least 25 meters from obstacles with 15-second time-to-collision buffer. Mission must complete within 10 minutes with safe return to designated landing site.",Descend to 30 m AGL and continue survey,"Climb to 120 m AGL, hold until intruder passes",Divert to landing site via safe corridor,Maintain altitude and reduce speed by 20%,"Turn 45° left, climb to 115 m AGL",Enter dynamic NFZ to complete data capture,Hover in place for 90 seconds,"[""Descend to 30 m AGL and continue survey"", ""Climb to 120 m AGL, hold until intruder passes"", ""Divert to landing site via safe corridor"", ""Maintain altitude and reduce speed by 20%"", ""Turn 45° left, climb to 115 m AGL"", ""Enter dynamic NFZ to complete data capture"", ""Hover in place for 90 seconds""]","Mission must complete within 10 minutes with safe return; continuing or holding risks collision or NFZ violation. Diverting ensures separation from intruder and dynamic hazard while preserving time and compliance with 25 m clearance and 15-second buffer. Other options violate separation, endurance, or NFZ constraints." 2025-11-01T18:03:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Recon_with_VTOL_Tiltrotor_540cfd67d7df_mcq.json,uavbench-mcq-v1,Offshore_Platform_Recon_with_VTOL_Tiltrotor,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"A VTOL tiltrotor must survey near an offshore platform within 10 minutes, avoiding a permanent NFZ and dynamic obstacle, with winds up to 14 m/s at 200 m.","This mission involves a VTOL tiltrotor UAV conducting a survey near an offshore platform. The operation takes place in controlled offshore airspace with good visibility but includes a lightning risk. Winds increase with altitude, reaching up to 14 m/s at 200 m with shifting direction, and thermal updrafts are present near structures. The UAV is equipped with radar, RGB, and thermal cameras for payload operations. A permanent no-fly zone surrounds the platform center, and a dynamic obstacle moves through the area. GNSS multipath and intermittent jamming are expected, with additional EM interference. The UAV must maintain separation from a moving obstacle and another UAV in the airspace. Battery endurance is limited, requiring efficient path planning within a 10-minute time budget. Lightning risk and sensor faults, including GNSS jamming and IMU bias, add operational constraints. The mission requires a runway-assisted takeoff and landing despite VTOL capability.",Climb to 200 m for clear radar sweep and thermal updraft assist,Fly at 180 m to balance wind exposure and sensor clearance,Descend below 100 m to reduce wind and EM interference,Enter NFZ briefly for direct path to high-value thermal target,Divert to runway landing if GNSS jamming exceeds 30 seconds,Match obstacle speed at 150 m to maintain separation,"Use full battery to hover, ensuring payload accuracy","[""Climb to 200 m for clear radar sweep and thermal updraft assist"", ""Fly at 180 m to balance wind exposure and sensor clearance"", ""Descend below 100 m to reduce wind and EM interference"", ""Enter NFZ briefly for direct path to high-value thermal target"", ""Divert to runway landing if GNSS jamming exceeds 30 seconds"", ""Match obstacle speed at 150 m to maintain separation"", ""Use full battery to hover, ensuring payload accuracy""]","Flying below 100 m reduces exposure to strong winds and EM interference, conserving battery and improving GNSS reliability. It avoids the NFZ and maintains separation while supporting the 10-minute endurance limit. Other options increase risk via high-altitude winds, NFZ violation, or excessive power use." 2025-11-01T18:03:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Reconnaissance_in_Fog_4fb8edf3a329_mcq.json,uavbench-mcq-v1,Offshore_Platform_Reconnaissance_in_Fog,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,"Which UAV configuration ensures fault-tolerant navigation under GNSS degradation, icing, and 12 m/s winds within 10-minute mission time?","The mission is an offshore platform inspection using a hexacopter UAV equipped with RGB and thermal cameras, LiDAR, radar, and full navigation sensors. It operates in a defined offshore airspace near a platform with strict altitude limits between 10 and 120 meters AGL. Weather conditions include strong westerly winds up to 12 m/s at higher altitudes, poor visibility due to fog, and icing risk. The UAV must avoid two no-fly zones: one static cylinder around the platform center and a moving exclusion zone drifting slowly. A dynamic moving obstacle and another UAV add complexity, requiring real-time separation management. GNSS signals are degraded with moderate jamming and electromagnetic interference, increasing multipath and positioning challenges. The flight plan follows a corridor pattern with five waypoints, returning to the start, and must be completed within 10 minutes. Battery reserve is set to 30%, and an icing fault event occurs mid-mission, reducing performance for one minute. Communication suffers two brief downlink outages, limiting telemetry feedback. The UAV must maintain safe separation of at least 25 meters and avoid collisions despite environmental and system challenges.",Hexacopter with dual IMUs and vision-aided navigation,Quadcopter with thermal camera and basic GPS,Fixed-wing with LiDAR and long-endurance battery,Hexacopter using GNSS-only positioning and radar,Octocopter with redundant comms and no LiDAR,VTOL with single IMU and fog-penetrating radar,"Quadcopter with RGB, no thermal, and 20% reserve","[""Hexacopter with dual IMUs and vision-aided navigation"", ""Quadcopter with thermal camera and basic GPS"", ""Fixed-wing with LiDAR and long-endurance battery"", ""Hexacopter using GNSS-only positioning and radar"", ""Octocopter with redundant comms and no LiDAR"", ""VTOL with single IMU and fog-penetrating radar"", ""Quadcopter with RGB, no thermal, and 20% reserve""]","The hexacopter provides sufficient redundancy for propulsion and sensor faults during icing and wind. Dual IMUs and vision-aided navigation compensate for GNSS degradation, while LiDAR and radar support obstacle avoidance in fog. Other options lack critical sensor fusion, endurance, or fault tolerance under combined environmental stresses." 2025-11-01T18:03:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Swarm_Inspection_Hot_21a05a71c943_mcq.json,uavbench-mcq-v1,Offshore_Platform_Swarm_Inspection_Hot,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"Swarm must inspect 120m AGL corridor in 10 mins with 11.5 m/s winds, moving obstacle, and 10m separation.","This is a swarm UAV inspection mission near offshore infrastructure in hot temperature conditions. The operation occurs within a defined powerline corridor airspace with a maximum altitude of 120 meters AGL. Winds are moderate to strong, increasing with altitude up to 11.5 m/s from the southwest, with gusts and variable direction. Four battery-powered quadcopter drones with RGB and thermal cameras, LiDAR, and full navigation sensors conduct the mission. The swarm must avoid a static no-fly zone around critical infrastructure and a moving obstacle near a thermal updraft. Additional challenges include GNSS signal multipath, electromagnetic interference, and brief communication dropouts. Drones maintain a minimum 10-meter separation and must comply with dynamic no-fly zones, including a moving cylinder. The mission requires completing a corridor inspection pattern within 10 minutes while managing energy use in high winds and heat. Communication links are mostly stable but experience short loss windows affecting uplink/downlink. The drones navigate using sensor fusion, with contingency plans for emergency landings if battery or separation thresholds are breached.",Climb to 110m AGL and maintain formation speed,"Descend to 80m AGL, slow swarm to conserve battery",Split swarm to bypass moving cylinder at 100m AGL,Accelerate and ascend to 120m AGL for faster coverage,Halt swarm and hover at 90m AGL until obstacle passes,Divert all drones west to 70m AGL under wind shear,Land immediately due to thermal stress and GNSS loss,"[""Climb to 110m AGL and maintain formation speed"", ""Descend to 80m AGL, slow swarm to conserve battery"", ""Split swarm to bypass moving cylinder at 100m AGL"", ""Accelerate and ascend to 120m AGL for faster coverage"", ""Halt swarm and hover at 90m AGL until obstacle passes"", ""Divert all drones west to 70m AGL under wind shear"", ""Land immediately due to thermal stress and GNSS loss""]","Splitting the swarm at 100m AGL avoids the moving cylinder while maintaining separation and staying below 120m AGL. It balances wind exposure, obstacle avoidance, and mission timing without breaching no-fly zones or energy limits. Other options either violate altitude, waste time, or increase collision risk." 2025-11-01T18:03:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Thermal_Recon_6d48aad7ec6c_mcq.json,uavbench-mcq-v1,Offshore_Platform_Thermal_Recon,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,D,False,"Given GNSS multipath, EMI, and 8.5 m/s winds, which strategy ensures secure, stable flight control during thermal inspection?","Fixed-wing UAV conducts offshore platform thermal inspection using RGB and thermal cameras with radar support. Mission takes place in a designated offshore airspace near an operational oil platform. Weather includes 8.5 m/s winds from 240°, moderate gusts, good visibility, and thermal updrafts. UAV is a battery-powered fixed-wing type with 12.5 kg mass and 800 Wh energy capacity. Payload includes thermal and RGB cameras, adding 1.2 kg with minor aerodynamic drag. Flight altitude is restricted between 50 m and 400 m AGL within a defined polygonal geofence. A cylindrical no-fly zone of 200 m radius and 300 m height is centered near the platform. GNSS signals experience multipath interference, and electromagnetic interference is present. Thermal updrafts at two locations can assist lift but require flight control adjustments. The UAV must avoid a moving spherical obstacle and maintain separation from other traffic.",Use GNSS-only positioning with WPA2-encrypted telemetry,Disable encryption to reduce autopilot processing latency,Authenticate commands via TLS but rely solely on GPS,"Fuse inertial, radar, and encrypted GNSS with spoofing detection",Transmit unencrypted video to preserve bandwidth for control,Use open-loop control with pre-programmed waypoints only,Prioritize thermal camera data over navigation integrity,"[""Use GNSS-only positioning with WPA2-encrypted telemetry"", ""Disable encryption to reduce autopilot processing latency"", ""Authenticate commands via TLS but rely solely on GPS"", ""Fuse inertial, radar, and encrypted GNSS with spoofing detection"", ""Transmit unencrypted video to preserve bandwidth for control"", ""Use open-loop control with pre-programmed waypoints only"", ""Prioritize thermal camera data over navigation integrity""]","D ensures resilience by fusing multiple trusted sensors and encrypted GNSS, enabling spoofing detection and control stability under EMI and winds. It maintains data integrity and availability while allowing fallback during GNSS outages. Other options expose the UAV to spoofing, unverified control, or single points of failure." 2025-11-01T18:03:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Powerline_Inspection_with_Heavy_Lift_UAV_33c36ce16c42_mcq.json,uavbench-mcq-v1,Offshore_Powerline_Inspection_with_Heavy_Lift_UAV,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 110 m AGL with 13.5 m/s wind and 5.2 kg payload, what adjustment maintains lift and control in gusting turbulence?","This is an offshore powerline inspection mission using a heavy-lift octocopter UAV equipped with RGB and thermal cameras, LiDAR, and full GNSS/IMU navigation. The operation takes place near an offshore platform within a defined 300x400 meter airspace zone, bounded between 10 and 120 meters AGL. Weather conditions include strong winds up to 13.5 m/s at higher altitudes, poor visibility due to dust, and gusting turbulence, increasing flight complexity. The UAV carries a 5.2 kg inspection payload and relies solely on battery power with a 30% reserve requirement. Significant environmental challenges include GNSS multipath interference, moderate jamming at -85 dBm, and electromagnetic interference affecting sensor reliability. The airspace contains a static no-fly cylinder around critical infrastructure and a moving no-fly zone drifting at 1.7 m/s, requiring real-time avoidance. A dynamic moving obstacle also traverses the area at 2.0 m/s, demanding active collision avoidance. Separation from other traffic is monitored with a 25-meter threshold and 20-second time-to-conflict alerting, with another UAV entering the airspace during the mission. The flight begins at 30 meters AGL and follows a corridor inspection pattern across five waypoints, prioritizing full coverage within a 10-minute time budget. Primary risks include wind-induced drift, GNSS degradation near structures, and maintaining line-of-sight in dusty, turbulent offshore conditions.",Increase airspeed to 18 m/s to enhance control surface effectiveness,Reduce throttle to minimize drag in high wind,Bank angle to 45° for rapid crosswind correction,Descend to 20 m AGL to escape turbulence,Pitch up 15° to increase angle of attack,Hover at reduced airspeed to conserve battery,Yaw rapidly to align with wind vector,"[""Increase airspeed to 18 m/s to enhance control surface effectiveness"", ""Reduce throttle to minimize drag in high wind"", ""Bank angle to 45° for rapid crosswind correction"", ""Descend to 20 m AGL to escape turbulence"", ""Pitch up 15° to increase angle of attack"", ""Hover at reduced airspeed to conserve battery"", ""Yaw rapidly to align with wind vector""]","Increasing airspeed enhances Reynolds number and control authority, countering gust-induced angle of attack fluctuations. Higher dynamic pressure improves lift stability and reduces stall risk under turbulent load factors. Other choices either induce stall, reduce controllability, or increase drift into restricted zones." 2025-11-01T18:03:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Powerline_Inspection_with_Solar_Wing_UAV_e733201fa7dc_mcq.json,uavbench-mcq-v1,Offshore_Powerline_Inspection_with_Solar_Wing_UAV,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Given 30% battery reserve, 14.5 m/s winds at 100 m, and 45-second icing, which strategy maximizes inspection completeness and ensures safe return?","This is an offshore powerline inspection mission using a solar-wing UAV equipped with RGB and thermal cameras, as well as radar. The flight occurs near an offshore platform within a defined polygonal airspace bounded between 10 and 120 meters AGL. Winds are moderate but increase with altitude, reaching 14.5 m/s at 100 meters, with a microburst risk and significant wind shear. The UAV must avoid static and moving no-fly zones, including a dynamic cylinder drifting northwest. GNSS signals are degraded by multipath effects and electromagnetic interference, with mild jamming present. The mission involves navigating a corridor pattern through five waypoints, requiring precise path following and energy management. A concurrent UAV traffic object moves through the area, necessitating separation assurance. The UAV faces two fault events: a 30-second communication loss and a 45-second icing condition that affects performance. Battery reserve is set at 30%, and the UAV must return safely for runway-assisted landing. Environmental hazards, sensor limitations, and airspace constraints demand robust navigation and contingency planning.",Climb to 120 m for better GNSS signal and radar coverage,Fly at 60 m AGL to reduce wind exposure and shear risk,Disable thermal camera to save power during icing event,Increase speed to 18 m/s to finish corridor before microburst,Switch to RGB-only mode and reduce scan resolution,Ascend rapidly to 100 m to avoid dynamic no-fly zone,Maintain 10 m AGL to minimize energy use and icing impact,"[""Climb to 120 m for better GNSS signal and radar coverage"", ""Fly at 60 m AGL to reduce wind exposure and shear risk"", ""Disable thermal camera to save power during icing event"", ""Increase speed to 18 m/s to finish corridor before microburst"", ""Switch to RGB-only mode and reduce scan resolution"", ""Ascend rapidly to 100 m to avoid dynamic no-fly zone"", ""Maintain 10 m AGL to minimize energy use and icing impact""]",Flying at 60 m AGL balances wind exposure and sensor effectiveness while conserving energy. It avoids high-shear zones and maintains sufficient clearance from obstacles. This altitude supports reliable navigation under GNSS degradation and preserves battery for contingencies. 2025-11-01T18:03:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Ship_Deck_Delivery_with_Glider_in_Fog_ded43fd16937_mcq.json,uavbench-mcq-v1,Offshore_Ship_Deck_Delivery_with_Glider_in_Fog,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV system best handles icing, GNSS issues, and a moving no-fly zone with 0.5 kg payload and 6–9.5 m/s winds?","This scenario involves a glider UAV conducting an offshore ship deck delivery mission in challenging weather. The flight occurs in an offshore platform airspace with poor visibility due to fog and icing conditions. Winds are moderate at 6 m/s at sea level, increasing to 9.5 m/s at 100 m altitude with shifting direction. The UAV is a fixed-wing glider equipped with a battery-powered propulsion system, carrying a 0.5 kg payload and fitted with radar, RGB camera, and standard navigation sensors. Key constraints include a strict geofenced corridor, a static no-fly zone near the center, and a moving no-fly cylinder that shifts during flight. A second UAV travels through the airspace on a conflicting trajectory, requiring separation management. GNSS signals suffer from multipath and mild jamming, and electromagnetic interference is present. An icing event occurs mid-mission, reducing performance for one minute. The UAV must follow a runway-assisted takeoff and landing pattern despite limited visual conditions. Communication experiences a brief downlink loss window, and mission success depends on battery reserves, obstacle avoidance, and adherence to altitude and separation requirements.","High-wing glider with de-icing, radar-only navigation","Quadcopter with RTK-GNSS, no radar, visual avoidance","Fixed-wing with de-icing, INS/GNSS fusion, radar","Glider with battery assist, no de-icing, GPS-only nav","Fixed-wing with pitot heating, camera-only navigation","VTOL with dual GNSS, no radar, high power reserve","Glider with ADS-B, no de-icing, minimal sensor suite","[""High-wing glider with de-icing, radar-only navigation"", ""Quadcopter with RTK-GNSS, no radar, visual avoidance"", ""Fixed-wing with de-icing, INS/GNSS fusion, radar"", ""Glider with battery assist, no de-icing, GPS-only nav"", ""Fixed-wing with pitot heating, camera-only navigation"", ""VTOL with dual GNSS, no radar, high power reserve"", ""Glider with ADS-B, no de-icing, minimal sensor suite""]","System C combines de-icing capability, sensor redundancy via INS/GNSS fusion, and radar for obstacle detection in fog. It maintains navigation integrity during GNSS degradation and handles wind better than VTOL or quadcopter designs. Other systems lack critical fault tolerance in navigation, propulsion, or environmental adaptation under the stated conditions." 2025-11-01T18:03:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Loiter_Convertiplane_c261fa1d249f_mcq.json,uavbench-mcq-v1,Offshore_Platform_Loiter_Convertiplane,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,B,False,"Given 6.5 m/s wind from 240°, a 50m obstacle separation, and 30s time-to-closest-approach, which loiter strategy optimizes safety, energy, and GNSS integrity?","This mission involves a convertiplane UAV performing a loiter operation near an offshore platform. The airspace is defined over open water with a rectangular geofence and a cylindrical no-fly zone around the platform structure. Weather includes a 6.5 m/s wind from 240 degrees, moderate gusts, and good visibility enhanced by thermal updrafts. The UAV is equipped with radar, RGB and thermal cameras, relying on GNSS and other sensors for navigation. It must maintain separation of at least 50 meters from obstacles and other traffic, with a 30-second time-to-closest-approach threshold. The flight envelope restricts altitude between 10 and 300 meters AGL. The UAV spawns near the edge of the airspace and must follow a loiter orbit around waypoints while avoiding a moving obstacle drifting westward. A runway approach is required for landing, with preferred and emergency sites designated. Battery endurance and GNSS signal integrity are critical due to potential multipath near the platform structure.",Fly downwind at 20m altitude to reduce gust impact,Maintain 40m AGL east of platform to avoid multipath,Loiter at 10m AGL directly south for minimal power,Orbit at 300m AGL to maximize thermal updraft benefit,Approach runway early if GNSS drops below 3 satellites,Reduce speed to 8 m/s on upwind leg to conserve battery,Shift loiter west to intercept obstacle and assess threat,"[""Fly downwind at 20m altitude to reduce gust impact"", ""Maintain 40m AGL east of platform to avoid multipath"", ""Loiter at 10m AGL directly south for minimal power"", ""Orbit at 300m AGL to maximize thermal updraft benefit"", ""Approach runway early if GNSS drops below 3 satellites"", ""Reduce speed to 8 m/s on upwind leg to conserve battery"", ""Shift loiter west to intercept obstacle and assess threat""]","Flying east at 40m AGL balances wind resistance, avoids GNSS multipath near the structure, and maintains safe separation. It stays within optimal altitude for stability and sensor performance while preserving energy and communication integrity. Other options violate minimum altitude, increase risk, or compromise navigation critical to coordination and safety." 2025-11-01T18:03:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Solar_Wing_Inspection_in_Desert_with_Lightning_Risk_024fa050e6b6_mcq.json,uavbench-mcq-v1,Offshore_Solar_Wing_Inspection_in_Desert_with_Lightning_Risk,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 340s, GNSS jamming begins; UAV drifts toward no-fly zone center (1500,1250) at 300m. Wind: 16 m/s west. Second UAV approaching. What action?","This UAV mission involves inspecting solar infrastructure in a desert environment using a solar-powered fixed-wing UAV with VTOL capability. The aircraft operates within a defined airspace bounded by a polygonal geofence, between 50 and 450 meters AGL, avoiding a cylindrical no-fly zone centered at (1500, 1250). Key sensors include GNSS, radar, RGB and thermal cameras, supporting inspection of remote installations under good visibility but with lightning risk. Winds increase with altitude, reaching 16 m/s from the west at 300 meters, and a thermal updraft is present near the center of the zone. The UAV must follow a corridor-style waypoint path while managing battery reserves and maintaining separation from static and moving obstacles. A second UAV travels westward at 18 m/s, requiring DAA compliance with a 50-meter separation threshold. GNSS jamming and communication loss are expected between 320 and 365 seconds, challenging navigation and control. The UAV spawns at (100, 100, 100) and must return to a designated runway for landing. Payload includes imaging systems for daytime and thermal inspection, with aerodynamic drag factored into performance. Mission success depends on completing the route within 600 seconds while avoiding NFZ breaches, collisions, and system failures.",Continue mission using thermal updraft to gain altitude,Initiate immediate descent below 50m AGL,"Abort mission, divert north to clear of NFZ and traffic",Hold position until GNSS resumes at 365s,Eject payload to reduce drag and increase control,Turn east toward spawning point at reduced speed,Increase speed west to exit jamming zone quickly,"[""Continue mission using thermal updraft to gain altitude"", ""Initiate immediate descent below 50m AGL"", ""Abort mission, divert north to clear of NFZ and traffic"", ""Hold position until GNSS resumes at 365s"", ""Eject payload to reduce drag and increase control"", ""Turn east toward spawning point at reduced speed"", ""Increase speed west to exit jamming zone quickly""]","During GNSS loss, maintaining separation from NFZ and another UAV is unsafe without positioning. Continuing risks collision or NFZ breach. Aborting and diverting north prioritizes airspace compliance, collision avoidance, and safety over mission completion, aligning with ethical and regulatory obligations." 2025-11-01T18:03:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Solar_Wing_Inspection_in_Powerline_Corridor_with_Microburst_Risk_4dbe558be6c2_mcq.json,uavbench-mcq-v1,Offshore_Solar_Wing_Inspection_in_Powerline_Corridor_with_Microburst_Risk,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"Plan route avoiding static/dynamic NFZs, wind shear above 100m, and 30s GNSS jamming while inspecting powerline in 600s.","This mission involves inspecting a powerline corridor using a solar-powered fixed-wing UAV equipped with RGB and thermal cameras, as well as radar for obstacle detection. The flight occurs in offshore-influenced airspace with good visibility but a risk of microbursts and strong wind shear increasing with altitude. Winds are from the southwest at 8.5 m/s at ground level, increasing to 15 m/s from the west at 100 meters AGL. The UAV has a max speed of 28 m/s and relies on battery power, with a 30% reserve required for safe operations. The operational altitude is constrained between 10 and 120 meters AGL within a defined polygonal geofence. A static no-fly zone blocks access to a central cylinder zone, while a moving no-fly zone drifts through the area, adding dynamic path planning challenges. Another UAV is present, flying cross-path at 70 meters, requiring 25-meter separation and 15-second time-to-collision thresholds for safe deconfliction. GNSS is subject to jamming at -85 dBm with an intentional jamming event lasting 30 seconds, compounded by electromagnetic interference and brief communication downlink losses. The UAV must also contend with an icing event reducing performance for 40 seconds during the mission. Key constraints include avoiding wind shear effects, GNSS multipath and jamming, maintaining line of sight, and completing the inspection within a 600-second time budget.","Fly direct at 110m AGL, ignore jamming, proceed through moving NFZ","Descend to 15m AGL, bypass static NFZ east, delay for GNSS recovery","Climb to 120m, accelerate to 28m/s, route west to avoid static NFZ","Follow powerline at 90m AGL, adjust heading for wind, reroute south around moving NFZ","Hold position at 70m for 30s during jamming, resume at 100m AGL","Reduce speed to 18m/s, fly through central cylinder at 50m AGL","Bank sharply to skip waypoint, save time, maintain 80m AGL","[""Fly direct at 110m AGL, ignore jamming, proceed through moving NFZ"", ""Descend to 15m AGL, bypass static NFZ east, delay for GNSS recovery"", ""Climb to 120m, accelerate to 28m/s, route west to avoid static NFZ"", ""Follow powerline at 90m AGL, adjust heading for wind, reroute south around moving NFZ"", ""Hold position at 70m for 30s during jamming, resume at 100m AGL"", ""Reduce speed to 18m/s, fly through central cylinder at 50m AGL"", ""Bank sharply to skip waypoint, save time, maintain 80m AGL""]",Flying at 90m AGL avoids wind shear and stays within safe altitude bounds while allowing sufficient clearance from the static NFZ. It enables adaptive rerouting south to maintain separation from the moving NFZ and sustains mission timeline using optimal wind alignment. This path preserves GNSS-assisted navigation by minimizing exposure during jamming and avoids performance loss during icing. 2025-11-01T18:03:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Solar_Wing_Inspection_in_Volcanic_Hot_Zone_f09a9b538212_mcq.json,uavbench-mcq-v1,Offshore_Solar_Wing_Inspection_in_Volcanic_Hot_Zone,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,"Which UAV configuration best handles 18 m/s winds, GNSS faults, and thermal updrafts within 600 seconds?","This mission involves inspecting solar infrastructure using a solar-powered fixed-wing UAV in a hazardous volcanic zone. The airspace is restricted with a static no-fly zone over a central hazard and a moving exclusion zone drifting northeast. Strong winds increase with altitude, reaching 18 m/s at 500 m, and wind direction shifts from 210° to 250°, complicating navigation. Thermal updrafts near (1200, 800) provide lift potential but require precise control. The UAV carries both RGB and thermal cameras for inspection, supported by radar and full IMU suite, but lacks LiDAR. GNSS signals suffer from multipath and moderate jamming, with a simulated fault causing 45 seconds of GNSS degradation mid-mission. An IMU bias fault also occurs later, affecting attitude estimation. Air traffic includes one conflicting UAV, and a moving spherical obstacle challenges path planning. The mission must be completed within 600 seconds, following a corridor pattern while maintaining separation and avoiding geofences. A runway-assisted landing is required, with preferred and emergency landing sites designated outside hazard zones.",Solar-powered fixed-wing with radar and full IMU redundancy,Electric quadcopter with thermal camera and basic IMU,Hybrid VTOL with LiDAR and dual GNSS receivers,Glider-type UAV relying solely on thermal updrafts,Fixed-wing with RGB camera and no IMU redundancy,Solar-powered quadcopter with radar and wind-resistant rotors,Lightweight fixed-wing with emergency glide mode,"[""Solar-powered fixed-wing with radar and full IMU redundancy"", ""Electric quadcopter with thermal camera and basic IMU"", ""Hybrid VTOL with LiDAR and dual GNSS receivers"", ""Glider-type UAV relying solely on thermal updrafts"", ""Fixed-wing with RGB camera and no IMU redundancy"", ""Solar-powered quadcopter with radar and wind-resistant rotors"", ""Lightweight fixed-wing with emergency glide mode""]","System A combines solar endurance, wind resilience, and full IMU redundancy to sustain navigation during GNSS faults and IMU bias. Its radar supports obstacle avoidance in degraded visibility near the moving exclusion zone. Other systems lack critical fault tolerance, energy efficiency, or environmental adaptability for this high-dynamic mission." 2025-11-01T18:03:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Tower_Spiral_Inspection_by_HAPS_dafdc4b309a2_mcq.json,uavbench-mcq-v1,Offshore_Tower_Spiral_Inspection_by_HAPS,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 12 m/s wind and lightning risk, UAVs maintain 20m separation in spiral inspection—optimal action?","High-altitude pseudo-satellite UAV conducts offshore tower inspection in a coastal industrial zone. Mission involves a spiral flight pattern around a central offshore platform structure. UAV equipped with RGB and thermal cameras, LiDAR, radar, and full navigation suite for detailed imaging. Operating in moderate winds up to 12 m/s with increasing speed and directional shear at altitude. Lightning risk and electromagnetic interference present additional environmental hazards. GNSS multipath effects and planned jamming events challenge navigation reliability. No-fly zones include a static cylinder around the tower and a moving exclusion zone. Swarm operation with three UAVs requires minimum 20-meter separation between units. Dynamic obstacles and other traffic increase situational awareness demands. Mission constrained by battery endurance, comms dropouts, and mandatory runway-aligned landing.",Descend to reduce wind exposure,Increase speed to shorten mission,Widen spiral radius to ease control,Reduce camera frame rate to save power,Cluster closer for coordinated imaging,Abort mission due to GNSS jamming,Adjust vertical spacing using differential altitude,"[""Descend to reduce wind exposure"", ""Increase speed to shorten mission"", ""Widen spiral radius to ease control"", ""Reduce camera frame rate to save power"", ""Cluster closer for coordinated imaging"", ""Abort mission due to GNSS jamming"", ""Adjust vertical spacing using differential altitude""]","Differential altitude maintains 20m separation while compensating for wind shear and GNSS unreliability. It preserves swarm coordination, inspection quality, and safety without increasing energy use or collision risk." 2025-11-01T18:03:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_VTOL_Delivery_LowVis_9a38088f9c3b_mcq.json,uavbench-mcq-v1,Offshore_VTOL_Delivery_LowVis,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"With 10-minute time limit, moderate winds, and icing reducing battery efficiency by 15%, what ensures on-time delivery within energy limits?","This scenario involves a VTOL tiltrotor UAV conducting an offshore package delivery mission near an offshore platform. The operation takes place in restricted offshore airspace with a defined geofence and both static and moving no-fly zones. Weather conditions include poor visibility, moderate winds increasing with altitude, gusts, and icing conditions that temporarily affect UAV performance. The UAV is equipped with a full sensor suite including GNSS, radar, LiDAR, and both RGB and thermal cameras, supporting navigation and obstacle detection in degraded visual environments. Key constraints include GNSS multipath and jamming, electromagnetic interference, and temporary comms losses. The mission requires precise navigation through a corridor of waypoints within a strict 10-minute time budget, with mandatory runway use for takeoff and landing. The UAV must avoid a dynamic no-fly zone moving across its path and maintain separation from other air traffic and moving obstacles. Energy management is critical due to wind resistance and reserve battery requirements. The scenario tests resilience to environmental hazards, sensor degradation, and fault conditions like icing, while ensuring mission success within operational limits.",Climb to maximum altitude for clearer GNSS signals,Reduce sensor suite to thermal-only and shorten approach path,Hover for 90 seconds to await dynamic no-fly zone passage,Use full RGB and LiDAR scanning throughout the corridor,Extend flight path to avoid all wind exposure,Increase rotor tilt angle beyond 60° to boost speed,Transmit high-res video at 20 Mbps during entire transit,"[""Climb to maximum altitude for clearer GNSS signals"", ""Reduce sensor suite to thermal-only and shorten approach path"", ""Hover for 90 seconds to await dynamic no-fly zone passage"", ""Use full RGB and LiDAR scanning throughout the corridor"", ""Extend flight path to avoid all wind exposure"", ""Increase rotor tilt angle beyond 60° to boost speed"", ""Transmit high-res video at 20 Mbps during entire transit""]","Reducing sensors to thermal-only cuts power use while maintaining obstacle detection in poor visibility. Shortening the approach conserves battery under wind and icing losses. This balances computation, energy, and time to meet the 10-minute window with reserves." 2025-11-01T18:03:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Wind_Turbine_Blade_Inspection_with_Swarm_Drones_under_Microburst_Risk_5546f7063632_mcq.json,uavbench-mcq-v1,Offshore_Wind_Turbine_Blade_Inspection_with_Swarm_Drones_under_Microburst_Risk,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which UAV configuration best balances 420 Wh battery endurance, 3.3 kg mass, and 15-second GNSS loss during offshore inspection?","This mission involves a swarm of four inspection drones assessing offshore wind turbine blades near a platform. The operation takes place in controlled offshore airspace with a maximum altitude of 120 meters AGL. Winds increase with altitude, reaching 14.5 m/s from 285 degrees at 100 meters, with a microburst risk and moderate gusts. The octocopter UAVs carry RGB and thermal cameras, along with LIDAR, for detailed blade imaging. Each drone has a battery capacity of 420 Wh and a total mass of 3.3 kg, including payload. The flight area includes a static no-fly zone around a central turbine and a moving exclusion zone drifting southwest. A separate UAV and a moving spherical obstacle simulate dynamic traffic hazards. The swarm must maintain at least 8 meters inter-drone separation and avoid GNSS interference, with reduced signal quality due to offshore multipath and electromagnetic noise. Communications face a 15-second link loss at 240 seconds, challenging command reliability. Mission success depends on completing the inspection corridor within 600 seconds while avoiding collisions and airspace violations.",Fixed-wing with extended range but poor hover precision,Quadcopter with lighter payload but insufficient redundancy,Hexacopter with reduced wind resistance but lower fault tolerance,Octocopter with dual-redundant sensors and robust hover control,Tilt-rotor with high speed but elevated power consumption,Solar-assisted UAV with longer endurance but unproven in gusts,Single-rotor UAV with high efficiency but no multi-sensor fit,"[""Fixed-wing with extended range but poor hover precision"", ""Quadcopter with lighter payload but insufficient redundancy"", ""Hexacopter with reduced wind resistance but lower fault tolerance"", ""Octocopter with dual-redundant sensors and robust hover control"", ""Tilt-rotor with high speed but elevated power consumption"", ""Solar-assisted UAV with longer endurance but unproven in gusts"", ""Single-rotor UAV with high efficiency but no multi-sensor fit""]","The octocopter provides fault tolerance and stable hover for imaging, critical in 14.5 m/s winds. Its redundancy ensures safety during 15-second GNSS loss. Other configurations sacrifice either endurance, control, or payload capacity under the mission’s environmental and reliability demands." 2025-11-01T18:03:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_HeavyLift_Rural_Rain_19e23e351c67_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_HeavyLift_Rural_Rain,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"At 45m AGL, wind from southwest, UAV must reach waypoint in 6 min with 3-min icing fault and two comms outages.","This is a pipeline inspection mission using a heavy-lift UAV in a rural airspace. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Weather conditions include rain, poor visibility, icing, and strong winds from the southwest. The flight occurs between 10 and 120 meters AGL within a defined geofenced corridor. A static no-fly zone blocks access to a central cylinder near the pipeline route. A moving no-fly zone drifts through the area, requiring real-time avoidance. Another UAV and a moving spherical obstacle create dynamic collision risks. An icing fault event reduces performance for three minutes during the mission. Communication experiences two brief downlink loss periods, impacting data transmission. The UAV must complete its waypoint corridor within 10 minutes while managing battery and separation thresholds.",Climb to 110m for smoother air and better comms range,Descend to 20m AGL to reduce wind exposure and save power,Maintain 45m and increase speed to compensate for lost time,Delay crossing moving no-fly zone until sphere drifts farther,Cut through geofence edge to shorten path and conserve energy,Reduce speed to optimize energy and maintain control in rain,Bank sharply to avoid UAV while accelerating toward next waypoint,"[""Climb to 110m for smoother air and better comms range"", ""Descend to 20m AGL to reduce wind exposure and save power"", ""Maintain 45m and increase speed to compensate for lost time"", ""Delay crossing moving no-fly zone until sphere drifts farther"", ""Cut through geofence edge to shorten path and conserve energy"", ""Reduce speed to optimize energy and maintain control in rain"", ""Bank sharply to avoid UAV while accelerating toward next waypoint""]","Reducing speed conserves battery under icing-induced thrust loss and maintains control in turbulent, rainy conditions. It enables safe separation from dynamic obstacles without violating geofence or timing constraints. This balances energy, stability, navigation, and safety across multiple domains." 2025-11-01T18:03:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_HAPS_Snowfall_7caa12c3d340_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_HAPS_Snowfall,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 250 s, icing reduces UAV performance; wind is 18 m/s at 3000 m. Mission ends at 600 s. What’s optimal?","This is a pipeline inspection mission using a high-altitude pseudo-satellite (HAPS) UAV in rural airspace. The UAV operates between 100 m and 3500 m AGL within a defined geofenced area. It is equipped with radar, RGB and thermal cameras for payload, and relies solely on battery power. Weather conditions include moderate snowfall, poor visibility, icing risks, and increasing wind speeds with altitude, reaching 18 m/s at 3000 m. A static no-fly zone and a moving no-fly cylinder constrain flight paths, requiring dynamic avoidance. The UAV must maintain separation from other traffic and a moving spherical obstacle, with DAA thresholds set at 150 m and 30 s TTC. GNSS performance is degraded by jamming at -85 dBm, though multipath effects are absent. An icing fault event occurs at 250 seconds, reducing performance for one minute. The mission requires a runway for landing and must be completed within 600 seconds.",Continue inspection; monitor icing duration,Descend to 100 m to avoid wind and icing,Abort mission immediately; return to base,Climb to 3500 m for better GNSS signal,Fly toward populated zone for emergency landing,Ignore DAA; prioritize mission completion,Delay response; reassess after 60 s,"[""Continue inspection; monitor icing duration"", ""Descend to 100 m to avoid wind and icing"", ""Abort mission immediately; return to base"", ""Climb to 3500 m for better GNSS signal"", ""Fly toward populated zone for emergency landing"", ""Ignore DAA; prioritize mission completion"", ""Delay response; reassess after 60 s""]","Icing and high winds at altitude compromise structural and control safety. Descending to 100 m avoids severe icing and wind while staying within operational limits. This preserves safety-of-life, complies with emergency response hierarchy, and maintains lawful geofenced operations without endangering civilians." 2025-11-01T18:03:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Package_Delivery_in_Rural_Area_with_Rain_d981dcc73674_mcq.json,uavbench-mcq-v1,Package_Delivery_in_Rural_Area_with_Rain,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"A UAV must deliver a 5 kg payload within 10 minutes, avoid a moving obstacle, and coordinate with another UAV under 1-minute communication loss.","This is a package delivery mission in a rural airspace using a high-altitude pseudo-satellite UAV. The UAV is equipped with radar, RGB camera, and standard navigation sensors, carrying a 5 kg payload. The flight occurs between 100 and 300 meters AGL within a defined polygonal geofence that includes a cylindrical no-fly zone near the center. Winds are moderate to strong, increasing with altitude, coming from the southwest, with gusts and poor visibility due to rain and icing conditions. A thermal updraft is present near the center of the area, and electromagnetic interference affects communications. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV flying through the area. An icing event occurs mid-mission, reducing performance for one minute. There is a brief uplink/downlink communication loss window, and GNSS is slightly degraded but not severely affected by multipath. The mission requires runway use, must be completed within 10 minutes, and includes designated preferred and emergency landing sites.",Proceed at 300 m AGL to maximize thermal lift and reduce power use,Descend to 100 m AGL during communication loss to improve GNSS signal stability,Adjust speed to maintain 1.5 km separation from other UAV during interference,Prioritize direct route through thermal updraft to save time despite icing risk,Switch to emergency landing site immediately after icing event without confirmation,Increase downlink frequency to compensate for EM interference during payload drop,Delay mission until winds subside to ensure safe operation in rain and gusts,"[""Proceed at 300 m AGL to maximize thermal lift and reduce power use"", ""Descend to 100 m AGL during communication loss to improve GNSS signal stability"", ""Adjust speed to maintain 1.5 km separation from other UAV during interference"", ""Prioritize direct route through thermal updraft to save time despite icing risk"", ""Switch to emergency landing site immediately after icing event without confirmation"", ""Increase downlink frequency to compensate for EM interference during payload drop"", ""Delay mission until winds subside to ensure safe operation in rain and gusts""]","Maintaining separation during communication loss is critical to avoid collision when coordination is unidirectional. The 1-minute comms outage and EM interference require pre-negotiated spacing to preserve situational awareness. Option C ensures safe, decentralized coordination by respecting inter-agent spacing under degraded comms, aligning with collision avoidance and mission timing." 2025-11-01T18:03:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_Swarm_Mission_at_Bridge_Site_19e04b07c367_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_Swarm_Mission_at_Bridge_Site,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,F,False,"With 8.5 m/s wind, 30% battery reserve, and 600-second mission limit, which strategy maximizes inspection coverage?","This is a swarm UAV mission for pipeline inspection near a bridge site. The operation takes place in a defined urban airspace with a geofenced area spanning 200 by 150 meters. Weather includes moderate wind at 8.5 m/s from 240 degrees with occasional 4 m/s gusts, but visibility is good. Four rotorcraft drones, each an 8-rotor swarm-capable UAV with RGB and thermal cameras and LiDAR, are deployed. The drones carry a 0.5 kg payload and rely on battery power with a 30% reserve requirement. A static no-fly zone exists near the center of the site, and a smaller dynamic no-fly zone moves slowly through the area. The swarm must maintain a minimum 5-meter inter-drone separation and avoid a moving spherical obstacle. They must also comply with a 10-meter separation threshold from other air traffic and handle brief communication dropouts. GNSS signals may experience multipath effects due to the bridge structure, challenging navigation accuracy. The mission must be completed within 600 seconds while staying within 5 to 60 meters AGL.",Fly at 60 m AGL against wind continuously,Hover every 90 seconds for thermal imaging,Reduce camera resolution to save power,Circle the static no-fly zone at full speed,Cluster drones near bridge for signal stability,Use shortest paths with dynamic zone avoidance,Increase speed to 15 m/s to finish early,"[""Fly at 60 m AGL against wind continuously"", ""Hover every 90 seconds for thermal imaging"", ""Reduce camera resolution to save power"", ""Circle the static no-fly zone at full speed"", ""Cluster drones near bridge for signal stability"", ""Use shortest paths with dynamic zone avoidance"", ""Increase speed to 15 m/s to finish early""]","F minimizes energy use by optimizing path efficiency and avoiding unnecessary maneuvers. It balances wind effects and obstacle avoidance while preserving battery for the 30% reserve. Other options waste power on hovering, suboptimal altitudes, or excessive speed, risking reserve and time violations." 2025-11-01T18:03:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_at_Airport_Perimeter_with_Gusts_565cabcebc5c_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_at_Airport_Perimeter_with_Gusts,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,"Which UAV configuration best handles 8.5 m/s winds, GNSS jamming at -95 dBm, and avoids a moving obstacle at 5 m/s?","This is a fixed-wing UAV pipeline inspection mission near an airport perimeter. The UAV operates within a defined airspace from 30 to 120 meters AGL, bounded by a polygonal geofence. Strong winds of 8.5 m/s with gusts up to 4.7 m/s are present, increasing with altitude and shifting direction. The UAV carries an RGB and thermal camera payload for visual inspection. It must avoid a cylindrical no-fly zone centered at (400, 300) with a 50-meter radius. A moving spherical obstacle travels westward at 5 m/s along the pipeline route. Another UAV enters the airspace from the east, requiring separation maintenance of at least 25 meters. GNSS signals are moderately jammed at -95 dBm with electromagnetic interference, increasing navigation risk. Uplink and downlink experience brief communication losses, and the UAV must return to the runway for landing.",Fixed-wing with dual IMUs and vision-based navigation,Quadcopter with RTK-GNSS and 30-min endurance,Fixed-wing with single GPS and mechanical redundancy,Hybrid VTOL with radar obstacle detection,Fixed-wing with optical flow and 120-min endurance,UAV with ADS-B and 25-meter separation alert,Lightweight fixed-wing with thermal-only payload,"[""Fixed-wing with dual IMUs and vision-based navigation"", ""Quadcopter with RTK-GNSS and 30-min endurance"", ""Fixed-wing with single GPS and mechanical redundancy"", ""Hybrid VTOL with radar obstacle detection"", ""Fixed-wing with optical flow and 120-min endurance"", ""UAV with ADS-B and 25-meter separation alert"", ""Lightweight fixed-wing with thermal-only payload""]","System A combines wind resilience via fixed-wing design, robust navigation under GNSS jamming using vision, and redundancy with dual IMUs. It supports RGB/thermal payload and avoids over-reliance on compromised GNSS. Other options lack critical fault tolerance, obstacle response, or environmental adaptability under combined wind and signal stress." 2025-11-01T18:03:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_at_Harbor_with_Microburst_Risk_c39c5e7ee82b_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_at_Harbor_with_Microburst_Risk,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 320s, a 15s link loss occurs during harbor pipeline inspection with GNSS jamming and 50m separation required. Which action maintains control and security?","This scenario involves a pipeline inspection mission using a high-altitude pseudo-satellite UAV equipped with radar, RGB, and thermal cameras. The operation takes place in a harbor airspace with a defined geofence and both static and moving no-fly zones. Weather conditions include strong westerly winds increasing with altitude and a risk of microbursts, posing significant flight challenges. The UAV must operate between 50 and 600 meters AGL, navigating around a dynamic no-fly zone moving eastward and avoiding a moving spherical obstacle. GNSS signals are degraded due to multipath effects and moderate jamming, while electromagnetic interference further challenges navigation. The UAV must follow a corridor inspection pattern with specific waypoints, transitioning between VTOL and fixed-wing flight, and requires a runway-aligned approach for landing. Air traffic includes a crossing UAV, requiring separation monitoring with a 50-meter minimum distance threshold. Two faults are simulated: a 15-second lost link at 320 seconds and a 40-second icing event at 500 seconds, affecting aerodynamics. The mission must be completed within 900 seconds while managing battery reserves and maintaining safe flight conditions.",Switch to pre-encrypted hold pattern with authenticated telemetry,Continue on last known trajectory using raw GNSS inputs,Descend immediately to 50m AGL ignoring separation zones,Transmit unencrypted status burst to ground on link recovery,Activate open-loop VTOL mode for immediate landing,Rely solely on radar for navigation without sensor fusion,Override flight controller with manual joystick commands,"[""Switch to pre-encrypted hold pattern with authenticated telemetry"", ""Continue on last known trajectory using raw GNSS inputs"", ""Descend immediately to 50m AGL ignoring separation zones"", ""Transmit unencrypted status burst to ground on link recovery"", ""Activate open-loop VTOL mode for immediate landing"", ""Rely solely on radar for navigation without sensor fusion"", ""Override flight controller with manual joystick commands""]","A ensures control stability via encrypted hold pattern and authenticated telemetry, mitigating spoofing and jamming risks. It maintains separation and mission continuity during link loss by avoiding untrusted GNSS and unsecured communication. Other options introduce cyber vulnerabilities or degrade physical safety." 2025-11-01T18:03:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Dense_Urban_Area_with_Microburst_Risk_7d6d3e62f96c_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Dense_Urban_Area_with_Microburst_Risk,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"UAV faces GNSS jamming at 45m altitude, 3 mins into 10-min pipeline inspection, with microburst risk and another UAV 30m east.","This mission involves a convertiplane UAV conducting a pipeline inspection in a dense urban environment. The airspace is constrained by static and dynamic no-fly zones, including a moving obstacle and a restricted cylinder near the center. The UAV must navigate within an altitude range of 10 to 120 meters AGL while avoiding conflicts with a nearby runway. Weather conditions include strong winds up to 15 m/s at higher altitudes, gusts, and a microburst risk, with wind direction shifting with height. Thermal updrafts are present near the pipeline route, which may affect stability. The UAV carries both RGB and thermal cameras for inspection and relies on GNSS, IMU, and LiDAR, but faces GNSS multipath, jamming, and electromagnetic interference. A communication signal loss is expected during two brief time windows, and a GNSS jamming fault occurs mid-mission. An icing event reduces performance for one minute, increasing energy consumption. Traffic includes another UAV approaching from the east, requiring separation maintenance of at least 25 meters. The mission must be completed within 10 minutes, with a preference for runway landing despite urban challenges.",Continue mission using LiDAR and IMU despite jamming,Descend immediately to 10m to avoid microburst and traffic,Abort mission and land in nearest open urban park,Climb to 120m for stable wind and clearer GNSS signal,Fly toward restricted cylinder to use thermal updrafts for stability,Transmit emergency priority request and maintain current course,Evasive turn west without clearance into adjacent no-fly zone,"[""Continue mission using LiDAR and IMU despite jamming"", ""Descend immediately to 10m to avoid microburst and traffic"", ""Abort mission and land in nearest open urban park"", ""Climb to 120m for stable wind and clearer GNSS signal"", ""Fly toward restricted cylinder to use thermal updrafts for stability"", ""Transmit emergency priority request and maintain current course"", ""Evasive turn west without clearance into adjacent no-fly zone""]","Human safety and regulatory compliance outweigh mission completion. Landing in a park minimizes risk to civilians and avoids restricted zones, despite mission loss. Other options risk collision, violate airspace laws, or escalate danger during GNSS failure and microburst conditions." 2025-11-01T18:03:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Fog_Near_Airport_ffeebaafc129_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Fog_Near_Airport,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,F,False,"Given 6 m/s wind, fog-limited visibility, and GNSS multipath, which sensor fusion strategy ensures reliable navigation and intruder detection?","This is a pipeline inspection mission conducted near an airport perimeter. The UAV operates in controlled airspace with a maximum altitude of 120 meters AGL and a minimum of 5 meters AGL. Weather conditions include poor visibility due to fog and a 6 m/s wind from 240 degrees with gusts up to 3.5 m/s. A quadrotor UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors is used for the mission. The UAV has a total mass of 3.0 kg, including a 0.5 kg payload, and is powered by an 180 Wh battery with a 30% reserve requirement. A cylindrical no-fly zone with a 30-meter radius is centered at (200, 150) between 5 and 60 meters altitude, which must be avoided. The mission must comply with a 25-meter separation threshold from other traffic and maintain a minimum time-to-collision buffer of 10 seconds. GNSS signals may be affected by multipath due to proximity to airport infrastructure. The UAV follows a corridor-style waypoint path starting near (50, 50, 10) and must complete within 600 seconds. One intruder UAV enters the area from outside the geofence, moving eastward at 12 m/s, requiring detect-and-avoid logic.",Prioritize GNSS with IMU to correct drift,Use LiDAR-only SLAM in foggy conditions,Rely on visual odometry despite poor visibility,Fuse IMU and thermal for motion tracking,Switch to barometer-based altitude hold,Combine visual-inertial with LiDAR ground scans,Depend on RGB camera for obstacle avoidance,"[""Prioritize GNSS with IMU to correct drift"", ""Use LiDAR-only SLAM in foggy conditions"", ""Rely on visual odometry despite poor visibility"", ""Fuse IMU and thermal for motion tracking"", ""Switch to barometer-based altitude hold"", ""Combine visual-inertial with LiDAR ground scans"", ""Depend on RGB camera for obstacle avoidance""]","Visual-inertial fusion degrades in fog, so integrating LiDAR ground returns enhances localization reliability despite reduced visibility. This strategy mitigates GNSS multipath near airport structures by relying on terrain-referenced scanning. Fusing LiDAR with IMU and limited visual data maintains navigation integrity and supports detect-and-avoid under wind-induced drift." 2025-11-01T18:03:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Forest_Under_Rain_4881f1b34180_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Forest_Under_Rain,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 120s, icing reduces UAV performance; wind is 12 m/s at 100m. Should the UAV climb, descend, or divert?","This scenario involves a pipeline inspection mission using a single battery-powered helicopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs in a forested airspace with poor visibility due to rain and icing conditions, which also introduce environmental risks like GNSS multipath, electromagnetic interference, and temporary comms loss. The UAV must navigate between five waypoints in a corridor pattern while maintaining an altitude between 10 and 120 meters AGL. A static no-fly zone blocks the central area, and a dynamic no-fly zone moves through the environment, requiring real-time avoidance. Wind increases with altitude, shifting from 7.5 m/s at ground level to 12 m/s at 100 meters, and a thermal updraft is present near the center of the area. The UAV starts at (50, 50, 20) and must complete the mission within 600 seconds, avoiding collisions with a moving obstacle and another UAV traveling westward. An icing fault event occurs at 120 seconds, reducing performance for one minute, and battery reserve is set to 30% to ensure safe return. Communication dropouts are scheduled between 300–310 and 550–560 seconds, limiting telemetry and control. The mission emphasizes navigation reliability, sensor resilience, and energy management under adverse weather and interference. Success is measured by mission completion, battery level, separation from traffic, geofence compliance, and fault response.",Climb to 120m for clearer GPS signals,Descend to 10m to reduce wind exposure,Continue at current altitude to save battery,Fly toward thermal updraft to gain lift,Enter dynamic no-fly zone to shorten route,Abort mission due to icing and wind risk,Delay response until comms restore at 300s,"[""Climb to 120m for clearer GPS signals"", ""Descend to 10m to reduce wind exposure"", ""Continue at current altitude to save battery"", ""Fly toward thermal updraft to gain lift"", ""Enter dynamic no-fly zone to shorten route"", ""Abort mission due to icing and wind risk"", ""Delay response until comms restore at 300s""]","Descending minimizes wind impact and conserves energy while staying within safe altitude bounds. It avoids prohibited zones and maintains control during fault. Other options increase collision risk, violate airspace, or delay critical response." 2025-11-01T18:03:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Forest_with_Lightning_Risk_dde24e8e0fed_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Forest_with_Lightning_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,How should the UAV adjust its path at 120 seconds when the moving no-fly cylinder approaches within 200 meters and GNSS degrades?,"This UAV mission involves inspecting a pipeline corridor within a forested area using a high-altitude pseudo-satellite UAV. The aircraft operates between 100 and 600 meters AGL within a defined polygonal geofence. Weather includes moderate winds of 8 m/s from 240°, gusts up to 4 m/s, and a significant lightning risk. The UAV is equipped with RGB and thermal cameras, LiDAR, and full navigation sensors, powered entirely by a large battery. Key constraints include a static no-fly zone near the pipeline and a moving no-fly cylinder that drifts slowly through the area. Another UAV and a moving spherical obstacle create dynamic collision risks. GNSS multipath effects and electromagnetic interference degrade navigation accuracy, compounded by a planned GNSS jamming fault and a lightning strike event. Communication links experience brief outages during the mission. Strict separation standards require maintaining at least 50 meters distance with a time-to-collision threshold of 30 seconds. The mission must be completed within 600 seconds while managing energy reserves and avoiding all airspace and safety violations.",Climb to 600 m to avoid interference and cylinder,Descend to 100 m and delay inspection by 45 seconds,Shift east maintaining 50 m separation from cylinder,"Hover until cylinder passes, resuming after 30 seconds",Hand off task to other UAV via degraded comms link,Follow cylinder boundary at reduced speed and altitude,Abort mission due to lightning and GNSS fault,"[""Climb to 600 m to avoid interference and cylinder"", ""Descend to 100 m and delay inspection by 45 seconds"", ""Shift east maintaining 50 m separation from cylinder"", ""Hover until cylinder passes, resuming after 30 seconds"", ""Hand off task to other UAV via degraded comms link"", ""Follow cylinder boundary at reduced speed and altitude"", ""Abort mission due to lightning and GNSS fault""]","Maintaining 50 m separation while repositioning laterally preserves collision thresholds and mission timeline. Option C enables continued inspection under GNSS degradation by relying on LiDAR and inter-UAV coordination. Other options either violate spacing, waste time, or prematurely abandon objectives despite sufficient battery and alternate navigation." 2025-11-01T18:03:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Forest_with_Fog_998997ab022e_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Forest_with_Fog,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,"At 580s, UAV faces moving NFZ, 20m from traffic UAV, and 15% battery. Complete inspection or abort?","The mission is a pipeline inspection using a quadrotor UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It takes place in a forested airspace with a defined rectangular geofence and both static and moving no-fly zones. Weather conditions include moderate wind from the south, gusts, and poor visibility due to fog. The UAV operates between 5 and 60 meters AGL, navigating around obstacles and avoiding a cylindrical NFZ near the center. A second dynamic NFZ moves slowly through the area, requiring real-time path adaptation. GNSS signals are degraded due to multipath effects and electromagnetic interference, complicating positioning. There is also a single traffic UAV flying through the environment on a fixed heading. The UAV must complete its inspection route within 600 seconds while maintaining safe separation of at least 10 meters. Communication links experience two brief loss windows but are otherwise functional. Battery reserve is set to 30%, and mission success depends on navigation accuracy, obstacle avoidance, and adherence to constraints.",Continue mission; finish critical pipeline scan,Divert to avoid moving NFZ; risk delay,Descend to 5m AGL to bypass obstacles,Fly through dynamic NFZ; time is critical,Prioritize battery; return immediately,Approach traffic UAV to confirm identity,Hover until GNSS reacquires; stabilize position,"[""Continue mission; finish critical pipeline scan"", ""Divert to avoid moving NFZ; risk delay"", ""Descend to 5m AGL to bypass obstacles"", ""Fly through dynamic NFZ; time is critical"", ""Prioritize battery; return immediately"", ""Approach traffic UAV to confirm identity"", ""Hover until GNSS reacquires; stabilize position""]","With 15% battery below the 30% reserve and 20 seconds left, continuing risks loss of control. Safety and lawful operation require return before depletion. Ethical duty to avoid uncontrolled crashes outweighs mission completion." 2025-11-01T18:03:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Hail_Conditions_a57934ee619c_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Hail_Conditions,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which system ensures mission success with 850 Wh battery, 15 m/s winds, and 600-second duration despite GNSS jamming and icing?","This is a pipeline inspection mission in a rural airspace using a single-rotor helicopter UAV equipped with RGB and thermal cameras, LiDAR, and full sensor suite. The UAV operates within a defined corridor between 10 and 150 meters AGL, navigating around static and dynamic no-fly zones, including a moving cylindrical exclusion zone. The environment features poor visibility and active hail, with strong and increasing wind speeds up to 15 m/s at higher altitudes, shifting in direction with elevation. A distant GNSS jamming source at -75 dBm and electromagnetic interference create navigation challenges, compounded by potential GNSS multipath in low-altitude terrain. The UAV must complete its waypoint route within 600 seconds while maintaining separation from a crossing traffic UAV and a moving spherical obstacle. Communication suffers from intermittent uplink loss and two downlink outage windows, limiting remote control reliability. An icing event occurs mid-mission, degrading performance for 90 seconds. Battery capacity is limited to 850 Wh with a 30% reserve, requiring efficient energy use under high drag and wind resistance. Payload includes a 1.2 kg inspection suite with moderate aerodynamic drag. Mission success depends on avoiding collisions, geofence breaches, and DAA violations while landing safely at the preferred or emergency site.",Lightweight carbon frame with minimal redundancy,Fixed-pitch rotor for lower power consumption,Triple-redundant IMU with adaptive sensor fusion,High-gain GNSS antenna without inertial backup,Thermal-only inspection to reduce data load,Aggressive speed profile to save battery,Single-camera setup to cut aerodynamic drag,"[""Lightweight carbon frame with minimal redundancy"", ""Fixed-pitch rotor for lower power consumption"", ""Triple-redundant IMU with adaptive sensor fusion"", ""High-gain GNSS antenna without inertial backup"", ""Thermal-only inspection to reduce data load"", ""Aggressive speed profile to save battery"", ""Single-camera setup to cut aerodynamic drag""]","Triple-redundant IMU with adaptive fusion maintains navigation integrity during GNSS jamming and icing. It enables reliable state estimation under electromagnetic interference and wind disturbances. Other options fail in fault tolerance, sensor resilience, or environmental adaptability." 2025-11-01T18:04:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Icing_Conditions_at_Airport_Perimeter_a1d3e4094e9c_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Icing_Conditions_at_Airport_Perimeter,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 300s, GNSS jamming spikes and comms dropout occurs. Wind shear exceeds 8 m/s across layers. Which action ensures resilient navigation and control stability?","This is a pipeline inspection mission conducted near an airport perimeter using an amphibious fixed-wing VTOL UAV equipped with RGB and thermal cameras, LiDAR, and radar. The UAV operates within a defined corridor between 5 and 120 meters AGL, navigating around static and moving no-fly zones, including a dynamic obstacle and a nearby runway requiring coordinated transitions. Weather conditions include strong westerly winds up to 11 m/s at altitude, poor visibility, and icing conditions that impact aerodynamics and battery performance. The UAV experiences GNSS multipath interference, moderate jamming, and electromagnetic interference, reducing navigation reliability near structures. A critical icing event occurs mid-mission, increasing drag and degrading lift, while wind shear across altitude layers challenges stability. The mission requires strict separation from other air traffic, with DAA thresholds set at 25 meters and 20 seconds TTC. Communication dropouts occur briefly at 300 and 550 seconds, testing onboard autonomy and data resilience. The UAV must complete its waypoint corridor within 10 minutes while managing energy reserves and avoiding geofence or NFZ breaches. Battery endurance is limited, with a reserve fraction of 30%, and thermal updrafts near the perimeter offer minor lift opportunities. Safe return and landing depend on obstacle avoidance, accurate state estimation despite sensor degradation, and adherence to airspace constraints.",Switch to LiDAR-aided INS with encrypted state updates,Rely on unverified ADS-B for relative positioning,Increase throttle to maintain airspeed using GPS-only,Disable radar to save power during icing event,Accept unauthenticated ground station commands via open link,Descend to 3m AGL to avoid wind shear and jamming,Override obstacle avoidance to shorten path using thermal data,"[""Switch to LiDAR-aided INS with encrypted state updates"", ""Rely on unverified ADS-B for relative positioning"", ""Increase throttle to maintain airspeed using GPS-only"", ""Disable radar to save power during icing event"", ""Accept unauthenticated ground station commands via open link"", ""Descend to 3m AGL to avoid wind shear and jamming"", ""Override obstacle avoidance to shorten path using thermal data""]","A- Switching to LiDAR-aided INS maintains position integrity during GNSS jamming and comms loss, preserving control stability. Encrypted state updates ensure command authenticity, preventing spoofing. This option sustains navigation accuracy, respects DAA thresholds, and supports safe return within energy limits despite sensor degradation." 2025-11-01T18:04:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Jungle_with_Fixed-Wing_UAV_c027a097e926_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Jungle_with_Fixed-Wing_UAV,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,"Which UAV system best balances obstacle avoidance, endurance under 6 m/s winds, and thermal-RGB payload within 600 seconds?","This is a pipeline inspection mission using a fixed-wing UAV in a jungle environment. The UAV is equipped with RGB and thermal cameras for visual data collection. Operations take place within a defined rectangular airspace with a minimum altitude of 20 meters AGL and a maximum of 150 meters AGL. A no-fly zone cylinder is located at the center of the area, requiring avoidance maneuvers. The mission must be completed within a 600-second time budget and requires use of a designated runway for takeoff and landing. Winds are moderate at 6 m/s from 135 degrees, with occasional 3 m/s gusts, but visibility is good. A second UAV is present in the airspace, traveling westbound, requiring separation maintenance of at least 25 meters. A moving spherical obstacle drifts leftward at 2 m/s, adding dynamic collision risk. Communication experiences two brief loss windows, and GNSS signals may suffer multipath effects due to dense canopy cover.",High-endurance glider with no obstacle detection,Quadcopter with thermal-RGB and GPS redundancy,"Fixed-wing with LiDAR, moderate gust tolerance","VTOL with dual cameras, high power consumption","Lightweight UAV, limited to 500-second max flight","Fixed-wing with vision-based avoidance, no thermal","Fixed-wing with sensor fusion, gust compensation, thermal-RGB","[""High-endurance glider with no obstacle detection"", ""Quadcopter with thermal-RGB and GPS redundancy"", ""Fixed-wing with LiDAR, moderate gust tolerance"", ""VTOL with dual cameras, high power consumption"", ""Lightweight UAV, limited to 500-second max flight"", ""Fixed-wing with vision-based avoidance, no thermal"", ""Fixed-wing with sensor fusion, gust compensation, thermal-RGB""]","Option G integrates sensor fusion for GNSS multipath resilience and vision-aided obstacle avoidance for dynamic and static hazards. It supports full payload, handles 6 m/s winds with gust tolerance, and completes the mission within 600 seconds. Other options lack critical capabilities: missing sensors, insufficient endurance, or poor wind performance." 2025-11-01T18:04:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Industrial_Plant_under_Rain_ca5e89de3e3d_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Industrial_Plant_under_Rain,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 7.5 m/s wind from 240°, rain, and 30% battery reserve, which action balances energy, safety, and mission completion within 600 seconds?","This scenario involves a pipeline inspection mission using a heavy-lift octocopter within an industrial plant. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors for detailed visual and thermal data collection. Operations take place in poor visibility due to rain and icing conditions, with moderate wind at 7.5 m/s from 240 degrees and additional gusts. The flight is confined to an airspace corridor between 5 and 60 meters AGL, bounded by a polygonal geofence. A static no-fly zone protects a critical infrastructure area, while a dynamic no-fly zone moves through the site, requiring real-time avoidance. The UAV must also maintain separation from another intruder UAV and a moving spherical obstacle, with DAA thresholds set at 10 meters and 5 seconds TTC. The mission begins at a designated spawn point and follows a corridor pattern across four waypoints within a 600-second time limit. Battery endurance is a key constraint, with a reserve margin of 30% and potential degradation from aerodynamic effects of rain and temporary icing events. Communication includes two brief downlink loss windows, requiring resilient data handling. GNSS multipath effects are expected due to dense metallic structures, and safe landing options include a preferred site and an emergency alternative.",Climb to 60 m AGL for clearer GNSS signals and reduced obstacle risk,Descend to 10 m AGL to minimize wind exposure and save power,"Maintain 35 m AGL, adjust heading to reduce drift and conserve energy",Proceed to emergency landing due to icing and battery degradation risk,Accelerate to waypoint at full thrust to finish before comms loss,"Hover until dynamic no-fly zone passes, resuming at reduced speed","Reroute laterally to avoid intruder, accepting higher energy use","[""Climb to 60 m AGL for clearer GNSS signals and reduced obstacle risk"", ""Descend to 10 m AGL to minimize wind exposure and save power"", ""Maintain 35 m AGL, adjust heading to reduce drift and conserve energy"", ""Proceed to emergency landing due to icing and battery degradation risk"", ""Accelerate to waypoint at full thrust to finish before comms loss"", ""Hover until dynamic no-fly zone passes, resuming at reduced speed"", ""Reroute laterally to avoid intruder, accepting higher energy use""]","Maintaining 35 m AGL balances aerodynamic efficiency, obstacle clearance, and energy use under wind and rain. It avoids excessive climb power while staying clear of moving hazards and within geofence limits. This altitude supports navigation reliability amid GNSS multipath and preserves battery for mission completion within 600 seconds." 2025-11-01T18:04:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_Near_Airport_in_Cold_Weather_f4c141704a1f_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_Near_Airport_in_Cold_Weather,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,G,False,"During icing at 8 m/s wind, how should the UAV adjust navigation near the no-fly zone with GNSS multipath and 10s comms loss?","This is a pipeline inspection mission using a quadrotor UAV near an airport perimeter. The operation takes place in controlled airspace with a defined geofenced area and a cylindrical no-fly zone near the center. The UAV is equipped with RGB and thermal cameras for visual inspection and relies on standard sensors including GNSS, IMU, and barometer. Weather conditions include strong westerly winds at 8 m/s with gusts up to 4 m/s and icing conditions that will affect the UAV during flight. The UAV must maintain altitude between 10 and 120 meters AGL while following a corridor-style waypoint path. A moving obstacle travels westward at 5 m/s through the inspection area, requiring dynamic avoidance. Air traffic includes another UAV approaching from outside the zone, demanding separation assurance. GNSS multipath may occur near infrastructure, and a brief communication downlink loss is expected between 400 and 410 seconds. The mission is time-constrained with a 600-second budget and must account for reduced performance due to icing and battery reserve requirements.",Rely solely on GNSS with Kalman filtering to average out multipath errors,Switch to IMU-barometer dead reckoning during comms loss without visual correction,Use optical flow with RGB camera to stabilize position during GNSS degradation,Increase reliance on thermal camera for obstacle detection in low visibility,Disable geofence monitoring to prioritize wind compensation algorithms,Follow waypoints using barometer-only altitude control in icing conditions,"Fuse IMU, visual odometry, and sparse GNSS when available during multipath","[""Rely solely on GNSS with Kalman filtering to average out multipath errors"", ""Switch to IMU-barometer dead reckoning during comms loss without visual correction"", ""Use optical flow with RGB camera to stabilize position during GNSS degradation"", ""Increase reliance on thermal camera for obstacle detection in low visibility"", ""Disable geofence monitoring to prioritize wind compensation algorithms"", ""Follow waypoints using barometer-only altitude control in icing conditions"", ""Fuse IMU, visual odometry, and sparse GNSS when available during multipath""]","GNSS multipath and comms loss demand reduced reliance on satellite data. Visual odometry fused with IMU provides drift-resistant localization, while sparse GNSS updates correct long-term bias. This maximizes resilience against wind, icing-induced drag, and signal degradation." 2025-11-01T18:04:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Underground_Mine_d1504a23e64a_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Underground_Mine,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"Given no GNSS, 2 m/s wind, and unreliable links, which control strategy ensures obstacle avoidance and mission completion within 600 seconds with 30% battery reserve?","This is an underground mine pipeline inspection mission using a heavy-lift octocopter UAV. The flight occurs entirely within a confined underground airspace with a maximum altitude of 40 meters AGL. Visibility is poor, and a constant 2 m/s wind blows from the south, consistent across the altitude range. The UAV is equipped with LiDAR, RGB and thermal cameras, and relies on IMU, magnetometer, and barometer due to no GNSS availability. Significant GNSS multipath and electromagnetic interference render satellite navigation unusable. The UAV must avoid a central cylindrical no-fly zone while navigating a predefined corridor pattern between four waypoints. Battery endurance is critical, with a 30% reserve required and limited to a 600-second mission duration. Communication links are unreliable, with multiple uplink and downlink loss windows expected during the flight. The UAV operates autonomously with discrete control actions and must maintain at least 10 meters separation from obstacles. Successful mission completion depends on completing the inspection route without collisions or geofence breaches while preserving minimum battery and link quality thresholds.",Use LiDAR for SLAM and encrypt all C2 links with authenticated handshake,Rely on magnetometer heading with open telemetry for low-latency control,Switch to GPS-based route if signal momentarily appears mid-flight,Disable encryption to reduce communication latency during link loss,Use barometric hold for altitude with unverified waypoint commands,Transmit unencrypted video to preserve bandwidth for sensor data,Ignore IMU health checks to maintain control frequency during wind gusts,"[""Use LiDAR for SLAM and encrypt all C2 links with authenticated handshake"", ""Rely on magnetometer heading with open telemetry for low-latency control"", ""Switch to GPS-based route if signal momentarily appears mid-flight"", ""Disable encryption to reduce communication latency during link loss"", ""Use barometric hold for altitude with unverified waypoint commands"", ""Transmit unencrypted video to preserve bandwidth for sensor data"", ""Ignore IMU health checks to maintain control frequency during wind gusts""]","A ensures integrity via encrypted, authenticated commands and maintains navigation resilience using LiDAR-based SLAM in GNSS-denied environments. It preserves situational awareness and control stability against spoofing and jamming. Other options compromise security or sensor trust, risking undetected divergence or intrusion." 2025-11-01T18:04:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Powerline_Corridor_with_Helicopter_UAV_under_Cold_Conditions_b0171247f452_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Powerline_Corridor_with_Helicopter_UAV_under_Cold_Conditions,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,F,False,UAV flying 600s mission in 240° wind with icing; powerline causes GNSS multipath. Predefined waypoints near cylindrical no-fly zone. How to maintain navigation integrity?,"This scenario involves a helicopter UAV conducting a pipeline inspection within a powerline corridor. The mission takes place in a defined rectangular airspace with a cylindrical no-fly zone at the center. Cold weather conditions include strong winds from 240 degrees, gusts, and icing, which can affect flight performance. The UAV is equipped with RGB and thermal cameras for inspection and relies on fuel as its primary energy source. It must maintain separation from a moving obstacle and another UAV flying through the corridor. GNSS multipath may occur due to proximity to powerlines, and the UAV must avoid violating altitude or geofence boundaries. The flight is constrained by a time budget of 600 seconds and must account for an icing event that reduces performance midway. The UAV spawns near the corridor entrance and is expected to follow a predefined waypoint path. Communication links are stable with sufficient signal strength throughout the mission. Success depends on completing the route without collisions, DAA breaches, or system failures.",Prioritize GNSS despite multipath; correct later with visual odometry,Switch to IMU-GPS fusion only when signal drops below threshold,Use visual-thermal SLAM with continuous loop closure updates,Rely on preloaded LiDAR map; ignore real-time sensor inputs,Increase reliance on magnetometer to compensate for GNSS drift,"Fuse IMU, visual, and thermal inputs with adaptive covariance tuning",Follow waypoints using pure dead reckoning from takeoff,"[""Prioritize GNSS despite multipath; correct later with visual odometry"", ""Switch to IMU-GPS fusion only when signal drops below threshold"", ""Use visual-thermal SLAM with continuous loop closure updates"", ""Rely on preloaded LiDAR map; ignore real-time sensor inputs"", ""Increase reliance on magnetometer to compensate for GNSS drift"", ""Fuse IMU, visual, and thermal inputs with adaptive covariance tuning"", ""Follow waypoints using pure dead reckoning from takeoff""]","GNSS multipath near powerlines degrades positioning, requiring sensor fusion that de-emphasizes satellite data. Visual and thermal cameras provide environmental redundancy, while IMU bridges gaps during signal loss. Adaptive covariance tuning dynamically weights sensors based on environmental noise, maintaining accuracy despite wind disturbances and icing-induced delays." 2025-11-01T18:04:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Underground_Mine_with_Strong_Crosswind_3c92cc2435f5_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Underground_Mine_with_Strong_Crosswind,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"With 450 Wh battery, 30% reserve, and 8.5 m/s crosswinds, which strategy maximizes inspection completion within 600 seconds?","This is an underground mine pipeline inspection mission using an octocopter UAV equipped with RGB and thermal cameras, LiDAR, and IMU-based navigation. The flight occurs in a confined rectangular airspace with a maximum altitude of 15 meters AGL and a no-fly zone centered at (50, 40) with an 8-meter radius. Strong crosswinds of 8.5 m/s from 240 degrees, combined with gusts and poor visibility due to dust haze, challenge flight stability and sensor performance. GNSS is unavailable, requiring reliance on inertial and relative sensors for positioning, increasing susceptibility to drift and multipath-like errors in the enclosed environment. The UAV must follow a corridor inspection pattern through four waypoints while avoiding a moving spherical obstacle traveling southwest. Communication links are degraded with two planned loss windows, limiting downlink and uplink availability. Battery endurance is critical, with a 450 Wh capacity and 30% reserve required, under high power draw from hover and wind resistance. The mission must complete within 600 seconds, returning to a preferred landing site at (10, 10, 0) unless an emergency site is needed. Proximity to walls and obstacles demands strict adherence to separation thresholds, with DAA alerts triggered below 5 meters or 3 seconds time-to-collision. Success depends on maintaining geofence compliance, avoiding collisions, and completing the route within energy and timing constraints.",Fly full speed throughout to minimize time exposure,Reduce LiDAR resolution to save power and extend range,Circle the no-fly zone to avoid wind-induced drift errors,Hover at each waypoint to stabilize sensors in dust haze,Ascend to 15 m for better thermal camera coverage,Transmit all data continuously during link windows,Disable IMU and rely solely on visual odometry,"[""Fly full speed throughout to minimize time exposure"", ""Reduce LiDAR resolution to save power and extend range"", ""Circle the no-fly zone to avoid wind-induced drift errors"", ""Hover at each waypoint to stabilize sensors in dust haze"", ""Ascend to 15 m for better thermal camera coverage"", ""Transmit all data continuously during link windows"", ""Disable IMU and rely solely on visual odometry""]","Reducing LiDAR resolution cuts sensor power draw, preserving energy for propulsion against 8.5 m/s winds. This balances data quality and endurance, enabling full route completion within 315 Wh usable capacity. Other options increase consumption or risk navigation failure in GNSS-denied space." 2025-11-01T18:04:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Volcanic_Zone_with_Strong_Crosswinds_587c9e977d7e_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Volcanic_Zone_with_Strong_Crosswinds,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,How should UAV 3 reroute at 95m AGL when the dynamic NFZ shifts east at 3 m/s and GNSS degrades to -75 dBm?,"This mission involves a swarm of four UAVs conducting pipeline inspection in a hazardous volcanic zone. The operation takes place within a defined rectangular geofence, with altitude restricted between 10 and 120 meters AGL. Strong crosswinds averaging 8.5 m/s from 240° increase with altitude, peaking at 11.5 m/s at 100 meters, and gusts reach up to 4.2 m/s. The UAVs are hexacopter swarm drones equipped with RGB and thermal cameras, LiDAR, and full navigation sensors, carrying a 0.3 kg inspection payload. Key environmental hazards include ash clouds, lightning risk, thermal updrafts of up to 3.0 m/s, and significant GNSS multipath and jamming at -75 dBm. A static no-fly zone surrounds a central area, while a dynamic no-fly zone moves through the airspace, requiring real-time avoidance. The swarm must maintain a minimum 20-meter separation and navigate around a moving spherical obstacle and conflicting UAV traffic. GNSS jamming and a partial motor failure are injected as faults, testing resilience. Communication experiences a 20-second downlink loss, and the mission must complete within 600 seconds. Success depends on avoiding collisions, NFZ breaches, and maintaining sufficient battery while completing the inspection corridor.","Climb to 120m, proceed direct to waypoint 4","Descend to 10m, fly due east under NFZ","Hold position until NFZ passes, then advance","Bank 25° left, descend to 80m, vector around NFZ perimeter","Increase speed to 14 m/s, cut through NFZ edge","Turn 180°, return to last safe fix","Pitch forward 15°, maintain 95m into crosswind gust","[""Climb to 120m, proceed direct to waypoint 4"", ""Descend to 10m, fly due east under NFZ"", ""Hold position until NFZ passes, then advance"", ""Bank 25° left, descend to 80m, vector around NFZ perimeter"", ""Increase speed to 14 m/s, cut through NFZ edge"", ""Turn 180°, return to last safe fix"", ""Pitch forward 15°, maintain 95m into crosswind gust""]","D maintains safe AGL within envelope, avoids NFZ with lateral offset, and accounts for GNSS drift via perimeter tracking. It balances wind impact and sensor uncertainty while preserving mission time. Other options breach NFZ, waste time, or exceed operational limits." 2025-11-01T18:04:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Warehouse_with_Convertiplane_be4846a4425d_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Warehouse_with_Convertiplane,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"At 125s, with comms lost and second UAV moving west at 3 m/s, how should the convertiplane adjust its inspection path near (25,10)?","This mission involves pipeline inspection inside a warehouse using a convertiplane UAV. The airspace is confined to an indoor warehouse with a maximum altitude of 12 meters AGL. Weather includes light wind from 135 degrees at 2 m/s with gusts up to 1.5 m/s, but visibility is good. The UAV is a battery-powered convertiplane equipped with RGB and thermal cameras, LiDAR, GNSS, IMU, and other standard sensors. A cylindrical no-fly zone with a 3-meter radius is centered at (25, 10) and spans the full altitude range. The UAV must maintain separation from a slow-moving spherical obstacle oscillating near the center of the space. Another UAV is present in the airspace, moving westward at 3 m/s, requiring collision avoidance. Communication dropouts are expected between 120–130 seconds and 450–465 seconds into the mission. The mission follows a corridor inspection pattern with a 10-minute time limit and requires runway-assisted takeoff and landing. GNSS multipath effects may occur due to indoor operation, and strict geofencing limits navigation accuracy and flight path options.",Climb to 11 m and hold until comms restore at 130s,Descend to 5 m and proceed on modified eastbound arc,"Halt at (24,9) and switch to thermal-only scanning",Accelerate west to match speed with other UAV,Double back south to inspect low-risk quadrant early,"Enter loiter pattern at (26,11) with 2 m radius",Transmit buffered data using mesh relay via other UAV,"[""Climb to 11 m and hold until comms restore at 130s"", ""Descend to 5 m and proceed on modified eastbound arc"", ""Halt at (24,9) and switch to thermal-only scanning"", ""Accelerate west to match speed with other UAV"", ""Double back south to inspect low-risk quadrant early"", ""Enter loiter pattern at (26,11) with 2 m radius"", ""Transmit buffered data using mesh relay via other UAV""]",B maintains mission progress while respecting comms loss and collision constraints. It avoids proximity to the oscillating obstacle and the second UAV’s westward trajectory. Descending to 5 m ensures separation from overhead traffic and compensates for GNSS multipath near the no-fly zone. 2025-11-01T18:04:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Warehouse_with_Fog_cb11dd306dfd_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Warehouse_with_Fog,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"UAV must inspect pipeline in fog, 8m AGL, with dynamic NFZ; 2.5m separation, 5s collision threshold. Mission time: 600s. What action maximizes safety and mission success?","This is an indoor pipeline inspection mission inside a warehouse using a high-altitude pseudo-satellite UAV. The UAV is equipped with RGB and thermal cameras, LIDAR, and standard navigation sensors for detailed visual and structural assessment. The environment has poor visibility due to fog, with light winds from the west increasing slightly with height. The confined airspace is limited to 8 meters AGL, with a defined polygonal boundary and two no-fly zones, one of which is dynamic and moves slowly within the space. A stationary cylindrical NFZ blocks part of the central area, while a moving spherical obstacle drifts vertically through the inspection route. The UAV must maintain strict separation from obstacles and other traffic, with a minimum safe distance of 2.5 meters and a time-to-collision threshold of 5 seconds. GNSS signals are degraded due to multipath effects and moderate interference, limiting positioning accuracy despite available signals. Communication links experience brief dropouts during flight, requiring robust data handling and fault tolerance. The mission must be completed within 600 seconds, starting from a fixed spawn point and following a corridor-style waypoint path while avoiding collisions and respecting energy limits.","Proceed at reduced speed, prioritizing obstacle avoidance over timing",Ascend to 10m AGL for better sensor clarity and wind stability,Disable thermal camera to save power and extend flight time,Fly through moving obstacle's predicted gap using LIDAR interpolation,Ignore GNSS dropouts and continue using dead reckoning past 5s threshold,Override no-fly zone boundary to cut 90s off inspection path,Abort mission upon first comms dropout to prevent unmonitored operation,"[""Proceed at reduced speed, prioritizing obstacle avoidance over timing"", ""Ascend to 10m AGL for better sensor clarity and wind stability"", ""Disable thermal camera to save power and extend flight time"", ""Fly through moving obstacle's predicted gap using LIDAR interpolation"", ""Ignore GNSS dropouts and continue using dead reckoning past 5s threshold"", ""Override no-fly zone boundary to cut 90s off inspection path"", ""Abort mission upon first comms dropout to prevent unmonitored operation""]","Operating within confined altitude and dynamic obstacles demands strict adherence to separation and collision thresholds. A- prioritizes human safety and regulatory compliance by reducing speed to maintain control under degraded sensing. Other choices violate safety margins, airspace rules, or ethical oversight, risking harm or loss of situational awareness." 2025-11-01T18:04:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Wind_Farm_with_Thermal_Updrafts_d38844d9456d_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Wind_Farm_with_Thermal_Updrafts,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Plan route between waypoints avoiding static/moving NFZs, 25m separation, and thermal updrafts at 80m AGL in 8.5 m/s winds from 240°.","Heavy-lift UAV conducts pipeline inspection in a wind farm with thermal updrafts. Mission operates within a defined polygonal airspace between 10 and 120 meters AGL. Weather includes 8.5 m/s winds from 240°, gusts up to 4 m/s, and strong thermal updrafts at two locations. UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Payload adds 5 kg with moderate drag, impacting energy consumption. GNSS signals face multipath interference and a 30-second jamming event at -95 dBm. A static no-fly zone blocks part of the corridor, with a moving no-fly zone drifting slowly. Separation from traffic and obstacles must be maintained above 25 meters. External traffic and a moving spherical obstacle challenge flight safety. Battery reserve is set to 30%, with energy modeling including hover, drag, and maneuvering losses.","Climb to 110m, direct path through updraft zone","Descend to 15m AGL, bypass left around both NFZs","Maintain 90m AGL, arc right to avoid obstacle drift",Hover at 100m until moving NFZ passes corridor,Cut through static NFZ at reduced speed and low drag,"Fly direct at 60m AGL, ignore gust-induced drift","Re-route west, hold 85m AGL, account for GNSS 30s jam","[""Climb to 110m, direct path through updraft zone"", ""Descend to 15m AGL, bypass left around both NFZs"", ""Maintain 90m AGL, arc right to avoid obstacle drift"", ""Hover at 100m until moving NFZ passes corridor"", ""Cut through static NFZ at reduced speed and low drag"", ""Fly direct at 60m AGL, ignore gust-induced drift"", ""Re-route west, hold 85m AGL, account for GNSS 30s jam""]","Option G maintains safe separation from both NFZs and the moving obstacle while operating within the permitted altitude band. It accounts for GNSS jamming by avoiding reliance on precise positioning during the 30-second outage and avoids thermal updrafts that could destabilize flight at 80m. Other options violate altitude limits, breach NFZs, or fail to compensate for environmental disturbances." 2025-11-01T18:04:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Wind_Farm_with_Thermal_Updrafts_fffef05d632f_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Wind_Farm_with_Thermal_Updrafts,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"With 8.5 m/s winds from 240°, a 520 Wh battery, and GNSS degradation, what flight strategy maximizes inspection completion within 600 seconds while avoiding hazards?","This UAV mission involves inspecting a pipeline within a wind farm environment. The operation takes place in a defined rectangular airspace with a maximum altitude of 120 meters AGL. Weather conditions include a steady 8.5 m/s wind from 240 degrees, gusts up to 4.2 m/s, and the presence of thermal updrafts near turbine locations. The UAV is an octocopter equipped with RGB and thermal cameras, along with LiDAR, for comprehensive pipeline imaging. It operates on battery power with a 520 Wh capacity and carries a 1.2 kg payload. Key constraints include a static no-fly zone around a central turbine and a moving no-fly zone that shifts slowly across the area. The UAV must also maintain separation from another flying UAV and avoid a moving spherical obstacle. GNSS signals are degraded due to multipath effects and electromagnetic interference, complicating navigation. Communication experiences brief downlink loss between 120 and 135 seconds, requiring robust data handling. The mission must be completed within 600 seconds while staying within energy reserves and avoiding all hazards.",Fly at 110 m AGL to minimize wind effects and ensure clearance over turbines,Descend to 30 m AGL to reduce wind exposure and improve LiDAR accuracy,"Increase speed to 15 m/s to finish early, using excess battery for stability",Hover for 20 seconds to reacquire GNSS before entering degraded signal zone,Follow pipeline directly through thermal updrafts to maintain camera focus,Climb to 120 m AGL for better communication and obstacle visibility,Adjust heading to 060° to counter lateral drift and maintain energy-efficient cruise,"[""Fly at 110 m AGL to minimize wind effects and ensure clearance over turbines"", ""Descend to 30 m AGL to reduce wind exposure and improve LiDAR accuracy"", ""Increase speed to 15 m/s to finish early, using excess battery for stability"", ""Hover for 20 seconds to reacquire GNSS before entering degraded signal zone"", ""Follow pipeline directly through thermal updrafts to maintain camera focus"", ""Climb to 120 m AGL for better communication and obstacle visibility"", ""Adjust heading to 060° to counter lateral drift and maintain energy-efficient cruise""]","Option G balances aerodynamic stability by compensating for 8.5 m/s crosswind from 240°, maintains energy efficiency via optimal cruise, and ensures navigation accuracy despite GNSS degradation. It avoids unsafe altitudes, preserves battery for contingencies, and supports coordination by preventing drift into moving no-fly zones or UAV separation loss." 2025-11-01T18:04:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_in_Wind_Farm_under_Sandstorm_926686a54c88_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_in_Wind_Farm_under_Sandstorm,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"At 120s, GNSS fails; UAV is at 110m AGL, wind 18m/s. Which action maintains corridor, avoids drifting NFZ, and ensures safe landing?","This is a pipeline inspection mission using a convertiplane UAV equipped with RGB and thermal cameras, LiDAR, and radar. The flight occurs within a wind farm located in a desert environment experiencing a sandstorm with poor visibility. Wind speeds range from 12 m/s at ground level to 18 m/s at 100 m altitude, with shifting direction and strong gusts. The UAV operates between 10 m and 120 m AGL, navigating through static and moving no-fly zones, including a dynamic obstacle and a drifting no-fly cylinder. GNSS signals are degraded due to multipath effects and intentional jamming, with a fault injecting severe GNSS jamming at 120 seconds. The mission requires the UAV to follow a corridor pattern across five waypoints while maintaining separation from other air traffic and obstacles. Communication downlink is lost during two critical time windows, limiting telemetry transmission. The UAV must use a designated runway for landing and manage battery reserves carefully under high aerodynamic drag and sand ingestion risks. Sensor performance is challenged by sandstorm conditions and electromagnetic interference. The mission emphasizes robust navigation, fault tolerance, and adherence to airspace constraints despite adverse weather and system faults.",Descend to 10m AGL immediately to reduce drift,Hold position at 110m until GNSS recovers,Engage LiDAR-aided dead reckoning toward next waypoint,Fly direct to runway at 120m AGL using GPS only,Climb to 130m AGL for better signal reception,Turn 180° and return to launch site,Orbit at current altitude using radar for obstacle avoidance,"[""Descend to 10m AGL immediately to reduce drift"", ""Hold position at 110m until GNSS recovers"", ""Engage LiDAR-aided dead reckoning toward next waypoint"", ""Fly direct to runway at 120m AGL using GPS only"", ""Climb to 130m AGL for better signal reception"", ""Turn 180° and return to launch site"", ""Orbit at current altitude using radar for obstacle avoidance""]","LiDAR-aided dead reckoning compensates for GNSS failure while maintaining altitude within safe band (10–120m AGL). It enables progress along the corridor, avoids the drifting NFZ, and preserves battery for runway landing. Other options either breach altitude limits, increase exposure, or waste energy." 2025-11-01T18:04:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Pipeline_Inspection_with_Glider_in_Dense_Urban_Area_under_Microburst_Risk_fb7d0f268369_mcq.json,uavbench-mcq-v1,Pipeline_Inspection_with_Glider_in_Dense_Urban_Area_under_Microburst_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 210s, during a 15s lost link, how should the glider adjust to maintain 25m separation from the second UAV moving at 3.6 m/s?","This is a pipeline inspection mission using a fixed-wing glider UAV in a dense urban environment. The airspace is constrained between 10 and 120 meters AGL with a defined polygonal geofence and multiple no-fly zones, including a dynamic one moving at 3.6 m/s. The glider carries an RGB and thermal camera payload for visual inspection, supported by GNSS, IMU, and LiDAR for navigation. Winds increase with altitude, reaching 15 m/s from 270 degrees at 100 meters, with gusts up to 4.5 m/s and a microburst risk. GNSS signals are degraded due to multipath effects and electromagnetic interference, with moderate jamming at -85 dBm. The mission must be completed within 600 seconds, following a corridor pattern across five waypoints while avoiding static and moving obstacles. A second UAV is present in the airspace, requiring separation of at least 25 meters and a time-to-closest approach threshold of 15 seconds. The glider faces a simulated 15-second lost link fault at 210 seconds, during which communication quality drops significantly. Battery reserves are set to 30%, and the flight must manage energy carefully under wind shear and thermal updrafts. The launch point is near the inspection start, with one preferred and one emergency landing site available.",Climb 20m to exploit thermal updraft and increase lateral separation,Hold heading and altitude to minimize drift in degraded GNSS,Decelerate to reduce closure rate while maintaining visual scan,Execute preplanned offset maneuver toward the geofence boundary,Turn 30° away from the other UAV's known track and glide downwind,Begin emergency descent to landing site despite low battery margin,Match wind speed vector to reduce relative motion and avoid collision,"[""Climb 20m to exploit thermal updraft and increase lateral separation"", ""Hold heading and altitude to minimize drift in degraded GNSS"", ""Decelerate to reduce closure rate while maintaining visual scan"", ""Execute preplanned offset maneuver toward the geofence boundary"", ""Turn 30° away from the other UAV's known track and glide downwind"", ""Begin emergency descent to landing site despite low battery margin"", ""Match wind speed vector to reduce relative motion and avoid collision""]","Turning away from the other UAV's track increases separation while leveraging wind to reduce closure rate, critical during lost link when coordination updates are unavailable. This preserves 25m distance without relying on real-time communication, aligning with safety margins and decentralized collision avoidance. Other options either reduce situational awareness, increase risk in dynamic zones, or waste energy." 2025-11-01T18:04:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Powerline_Corridor_Mapping_with_Heavy_Lift_UAV_7c2e14be0cdc_mcq.json,uavbench-mcq-v1,Powerline_Corridor_Mapping_with_Heavy_Lift_UAV,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,How should the heavy lift UAV adjust its path at 120m altitude with a westbound UAV at 12 m/s and 25m separation required?,"Heavy lift UAV conducts powerline corridor mapping in a restricted polygonal airspace. Mission takes place in poor visibility with dust and moderate winds from 240 degrees. UAV equipped with RGB and thermal cameras, LiDAR, and full suite of navigation sensors. Flight altitude is constrained between 30m and 120m AGL throughout the corridor. A cylindrical no-fly zone blocks the center of the corridor at 50m radius and 100m ceiling. A second UAV moves westbound at 12 m/s, requiring 25m separation and 15s time-to-close avoidance. A moving spherical obstacle drifts left at 5 m/s, adding dynamic collision risk. Mission duration is limited to 600 seconds with return-to-start waypoint pattern. UAV must avoid GNSS multipath near powerline structures while maintaining comms. Battery capacity supports mission with 30% reserve required for safe landing.",Climb above 120m to gain clearance and reduce collision risk,Descend to 25m and proceed straight through the corridor center,Hold position until the westbound UAV passes the intersection point,Shift laterally 30m north maintaining altitude and speed,Match westbound UAV's speed and trail behind by 20m,Dive rapidly toward 30m AGL to avoid LiDAR occlusion near towers,Enter the cylindrical no-fly zone briefly to save 40 seconds,"[""Climb above 120m to gain clearance and reduce collision risk"", ""Descend to 25m and proceed straight through the corridor center"", ""Hold position until the westbound UAV passes the intersection point"", ""Shift laterally 30m north maintaining altitude and speed"", ""Match westbound UAV's speed and trail behind by 20m"", ""Dive rapidly toward 30m AGL to avoid LiDAR occlusion near towers"", ""Enter the cylindrical no-fly zone briefly to save 40 seconds""]","D maintains safe lateral separation while preserving flight altitude within bounds and avoiding no-fly zones. It enables continuous sensor coverage without disrupting comms or GNSS near structures. Other options violate altitude, spacing, or restricted zone constraints, risking mission failure or collision." 2025-11-01T18:04:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Powerline_Corridor_Recon_with_High_Altitude_Pseudo-Satellite_62fa2c014adb_mcq.json,uavbench-mcq-v1,Powerline_Corridor_Recon_with_High_Altitude_Pseudo-Satellite,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"UAV must avoid NFZ (80 m radius, 100–600 m AGL), strong crosswinds (8.5 m/s), and a moving obstacle at 5 m/s west while conserving battery with 35% reserve.","This mission involves a high-altitude pseudo-satellite UAV conducting fixed-wing area reconnaissance along a powerline corridor. The flight occurs in controlled airspace between 100 m and 1200 m AGL, bounded by a narrow polygonal corridor with a central cylindrical no-fly zone. Strong crosswinds up to 8.5 m/s are present, increasing with altitude and creating challenging flight dynamics. The UAV is equipped with radar, RGB and thermal cameras, and relies on GNSS, IMU, and barometric sensors for navigation. A significant constraint is the NFZ cylinder centered at (1000, 150) m with a 80 m radius, extending from 100 m to 600 m altitude. The UAV must follow a predefined waypoint corridor, maintain separation from a moving obstacle traveling westward at 5 m/s, and avoid a traffic UAV approaching from the south. GNSS multipath effects are minimal, but wind shear across altitudes requires careful energy management and flight path control. The mission requires use of a runway for landing, with preferred and emergency sites at opposite ends of the corridor. Battery endurance is critical, with a 35% reserve required and a tight 900-second time budget for successful completion.",Fly direct path at 1100 m to avoid NFZ and obstacle early,"Descend to 90 m to bypass NFZ, then climb after passing obstacle","Match obstacle speed westward, maintaining 75 m lateral separation","Loiter at 650 m until traffic UAV clears, then proceed south","Follow corridor at 700 m, adjust heading every 15 s for wind drift",Reduce speed to 12 m/s to minimize energy use in crosswind,"Pre-emptively reroute east, adding 200 m detour to avoid conflicts","[""Fly direct path at 1100 m to avoid NFZ and obstacle early"", ""Descend to 90 m to bypass NFZ, then climb after passing obstacle"", ""Match obstacle speed westward, maintaining 75 m lateral separation"", ""Loiter at 650 m until traffic UAV clears, then proceed south"", ""Follow corridor at 700 m, adjust heading every 15 s for wind drift"", ""Reduce speed to 12 m/s to minimize energy use in crosswind"", ""Pre-emptively reroute east, adding 200 m detour to avoid conflicts""]","Flying at 700 m respects the NFZ ceiling (600 m) and maintains safe altitude within corridor limits. Continuous heading adjustments compensate for wind shear and preserve sensor coverage, ensuring timely mission completion within 900 s while conserving battery. Other options either violate airspace, increase collision risk, or waste energy/time." 2025-11-01T18:04:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Powerline_Delivery_in_Crosswind_cc8119a79719_mcq.json,uavbench-mcq-v1,Powerline_Delivery_in_Crosswind,minimax/minimax-m1,9,Comparative System Reasoning,7,?,F,False,"Which UAV configuration best balances obstacle avoidance, 8.5 m/s wind resilience, and 30% battery reserve for 600-second delivery?","Quadrotor UAV conducts a powerline corridor package delivery mission in moderate crosswind conditions. The flight occurs in a defined airspace near critical infrastructure with strict altitude limits between 15 and 120 meters AGL. Wind blows from the west at 8.5 m/s with gusts up to 4.5 m/s, creating challenging flight dynamics. The UAV is equipped with GNSS, IMU, lidar, and RGB camera for navigation and obstacle awareness. A cylindrical no-fly zone blocks the central corridor, while a second dynamic no-fly zone moves slowly through the area. Another UAV and a moving spherical obstacle traverse the airspace, requiring real-time separation. The mission must be completed within 600 seconds, with strict data link windows and communication dropouts. Minimum separation is set at 25 meters with a time-to-collision threshold of 15 seconds for collision avoidance. Battery reserve is capped at 30%, limiting usable energy for the 320 Wh battery system. The UAV spawns at the southeast side and must deliver the package while avoiding obstacles and maintaining GNSS signal integrity.",Fixed-pitch rotors with lightweight frame and minimal sensors,High-torque motors with dual GNSS and 40% battery reserve,Passive wind damping with lidar-only navigation in corridor,Aggressive flight planner ignoring dynamic no-fly zone updates,Vision-only navigation to reduce power and weight,Redundant IMU and lidar with adaptive control and path replanning,Maximum speed profile with no gust compensation or margin,"[""Fixed-pitch rotors with lightweight frame and minimal sensors"", ""High-torque motors with dual GNSS and 40% battery reserve"", ""Passive wind damping with lidar-only navigation in corridor"", ""Aggressive flight planner ignoring dynamic no-fly zone updates"", ""Vision-only navigation to reduce power and weight"", ""Redundant IMU and lidar with adaptive control and path replanning"", ""Maximum speed profile with no gust compensation or margin""]","Option F provides sensor fusion for reliable obstacle detection and adaptive control for wind gusts up to 4.5 m/s. It supports real-time path replanning around dynamic obstacles within strict battery and altitude constraints. Other options sacrifice safety, situational awareness, or energy margins critical for mission success." 2025-11-01T18:04:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Powerline_Inspection_Under_Sandstorm_f95cef460683_mcq.json,uavbench-mcq-v1,Powerline_Inspection_Under_Sandstorm,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,How should the UAV adjust pitch and airspeed at 9.5 m/s wind from 145° while avoiding a westward-moving obstacle and maintaining lift?,"This is a powerline inspection mission conducted in a designated corridor airspace. The hexacopter UAV is equipped with RGB and thermal cameras, LiDAR, GNSS, IMU, and other standard sensors for navigation and data collection. Operating conditions are challenging due to a sandstorm, with poor visibility, 9.5 m/s winds from 145 degrees, and 4.8 m/s gusts. The flight is constrained within a polygonal geofence, with a vertical no-fly zone cylinder near the center of the corridor. The UAV must maintain separation of at least 25 meters from other air traffic, monitored through DAA systems. A traffic UAV enters the airspace from the southeast, moving westward at 12 m/s, requiring collision avoidance. GNSS jamming occurs mid-mission, lasting 45 seconds with high severity, potentially disrupting positioning. Downlink communication is unreliable, with two significant data loss windows during the flight. Battery reserves are set to 30%, and the UAV must complete the mission within 600 seconds. A moving spherical obstacle drifts westward at 2 m/s, adding complexity to low-altitude maneuvering near powerline structures.",Increase pitch angle and reduce throttle to minimize drag,Decrease pitch and increase airspeed to overcome wind resistance,Hold level flight with constant thrust to conserve battery,Bank sharply without pitch change to sidestep the obstacle,Descend rapidly using negative lift to evade the obstacle,Align downwind and reduce airspeed to match obstacle drift,Slightly increase angle of attack and crosswind crab toward 145°,"[""Increase pitch angle and reduce throttle to minimize drag"", ""Decrease pitch and increase airspeed to overcome wind resistance"", ""Hold level flight with constant thrust to conserve battery"", ""Bank sharply without pitch change to sidestep the obstacle"", ""Descend rapidly using negative lift to evade the obstacle"", ""Align downwind and reduce airspeed to match obstacle drift"", ""Slightly increase angle of attack and crosswind crab toward 145°""]",Increasing angle of attack compensates for reduced air density and maintains lift in sandstorm conditions. A crab angle aligned with the 145° wind vector corrects drift and ensures accurate ground track within the geofence. Other options either exceed stall limits or mismanage thrust-lift balance under wind loading. 2025-11-01T18:04:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Powerline_Inspection_Package_Delivery_da55f34122f7_mcq.json,uavbench-mcq-v1,Powerline_Inspection_Package_Delivery,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"Deliver payload to (700, 500, 50) within 600s, avoid static/moving NFZs, 30% battery reserve, and maintain 25m separation from traffic UAV.","This is a delivery mission using an octocopter UAV equipped with GNSS, IMU, camera, lidar, and other standard sensors, carrying a 1.5 kg payload. The flight occurs in a powerline corridor with good visibility and moderate wind at 6 m/s from 135 degrees, including gusts up to 3 m/s. The UAV operates between 20 and 120 meters AGL within a defined polygonal airspace boundary. A static no-fly zone (cylinder, 50 m radius) and a moving no-fly zone (drifting at -2, -1 m/s) must be avoided. The UAV must follow a predefined corridor route with five waypoints, reaching a delivery point at (700, 500, 50) within a 600-second time limit. A single traffic UAV moves westward at 12 m/s, requiring separation of at least 25 meters and 15 seconds time-to-closest-approach. A moving spherical obstacle drifts southward at 1 m/s, adding dynamic collision risk. Communication experiences brief downlink outages between seconds 120–130 and 400–415. Battery capacity is 1200 Wh with a 30% reserve required, limiting usable energy. The mission emphasizes avoiding geofence breaches, maintaining safe separation, and successful delivery under wind and obstacle constraints.","Climb to 120m AGL, proceed direct to delivery point",Descend to 20m AGL and accelerate through moving obstacle,Delay start by 45 seconds to deconflict with traffic UAV,"Fly at 70m AGL, adjust speed to maintain separation",Divert to alternate drop point outside NFZ boundary,Enter moving NFZ briefly to save 40 seconds on route,"Use full power to counter wind, ignore battery reserve","[""Climb to 120m AGL, proceed direct to delivery point"", ""Descend to 20m AGL and accelerate through moving obstacle"", ""Delay start by 45 seconds to deconflict with traffic UAV"", ""Fly at 70m AGL, adjust speed to maintain separation"", ""Divert to alternate drop point outside NFZ boundary"", ""Enter moving NFZ briefly to save 40 seconds on route"", ""Use full power to counter wind, ignore battery reserve""]","Option D maintains safe altitude within operational band, dynamically adjusts for traffic separation using time-to-closest-approach, and conserves energy for reserve compliance. It avoids both static and drifting NFZs while accounting for wind effects on groundspeed. Other options either breach separation, violate NFZs, or exceed energy limits, increasing mission risk." 2025-11-01T18:04:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Powerline_Inspection_at_Airport_Perimeter_with_High-Altitude_Pseudo-Satellite_c5f51cb9b0e4_mcq.json,uavbench-mcq-v1,Powerline_Inspection_at_Airport_Perimeter_with_High-Altitude_Pseudo-Satellite,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"Given 8.5 m/s winds and a 50m separation rule, how should two UAVs coordinate near the runway exclusion zone?","This is a powerline inspection mission conducted near an airport perimeter using a high-altitude pseudo-satellite UAV. The aircraft operates within controlled airspace bounded by a geofence and must avoid both static and dynamic no-fly zones, including a cylindrical exclusion zone near the runway area. The UAV is equipped with radar, RGB and thermal cameras for inspection tasks, and relies on battery power with significant energy demands. Weather conditions include moderate winds of 8.5 m/s from 240 degrees, gusts up to 4 m/s, and a risk of lightning, with wind increasing to 12 m/s at higher altitudes. GNSS signals are degraded due to multipath effects and electromagnetic interference, with occasional signal jamming at -85 dBm. The UAV must maintain strict separation from other air traffic and a moving obstacle, with a minimum separation threshold of 50 meters. It follows a corridor-style waypoint path between four points at altitudes between 300 and 400 meters AGL, requiring runway access for operations. Battery endurance is critical, with a reserve fraction of 30% and only brief communication loss windows allowed. Thermal updrafts are present near the center of the area, which may affect flight stability. The mission emphasizes navigation accuracy, fault tolerance, and adherence to airspace constraints despite environmental and sensor challenges.",One UAV hovers at 350m while the other inspects the powerline,Both UAVs enter the exclusion zone to reduce inspection time,UAVs fly side-by-side at 300m AGL to maintain visual contact,Stagger altitudes by 50m within the corridor to ensure separation,Share thermal data only after completing full battery cycles,Synchronize waypoints every 60s regardless of GNSS signal quality,Use radar to lead formation when GNSS drops below -85 dBm,"[""One UAV hovers at 350m while the other inspects the powerline"", ""Both UAVs enter the exclusion zone to reduce inspection time"", ""UAVs fly side-by-side at 300m AGL to maintain visual contact"", ""Stagger altitudes by 50m within the corridor to ensure separation"", ""Share thermal data only after completing full battery cycles"", ""Synchronize waypoints every 60s regardless of GNSS signal quality"", ""Use radar to lead formation when GNSS drops below -85 dBm""]","Staggered altitudes ensure 50m vertical separation, satisfying collision avoidance under degraded GNSS. This maintains corridor constraints and wind resilience through decentralized altitude control. Other options violate spacing, airspace, or synchronization needs." 2025-11-01T18:04:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Powerline_Inspection_at_Airport_Perimeter_with_Lightning_Risk_49a241cabc68_mcq.json,uavbench-mcq-v1,Powerline_Inspection_at_Airport_Perimeter_with_Lightning_Risk,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 420s, GNSS jamming and comms loss occur. Winds are from 240° with gusts. What should the follower drone do immediately?","Swarm drones conduct a powerline inspection near an airport perimeter under good visibility but with lightning risk. The operation occurs within a defined polygonal airspace, bounded between 10 and 120 meters AGL. A cylindrical no-fly zone near the center restricts access around critical infrastructure. The UAVs operate in formation with a 10-meter minimum separation, coordinated by leader, follower, scout, and relay roles. Each drone is equipped with RGB and thermal cameras for visual inspection, relying on GNSS, IMU, and other sensors for navigation. Moderate winds from 240 degrees with gusts challenge flight stability and energy use. A moving spherical obstacle simulates dynamic hazards along the corridor route. At 420 seconds, a GNSS jamming event and comms loss occur, testing resilience. Mission success depends on avoiding collisions, maintaining separation, and completing the route within the time and battery limits.",Continue using GNSS despite signal degradation,Rely solely on IMU for position updates,Switch to optical flow and visual odometry fusion,Descend to 10m AGL and hover using barometer,Abort mission and return via last known route,Follow predicted leader path using IMU and yaw drift,Use thermal camera to track swarm heat signatures,"[""Continue using GNSS despite signal degradation"", ""Rely solely on IMU for position updates"", ""Switch to optical flow and visual odometry fusion"", ""Descend to 10m AGL and hover using barometer"", ""Abort mission and return via last known route"", ""Follow predicted leader path using IMU and yaw drift"", ""Use thermal camera to track swarm heat signatures""]","GNSS jamming invalidates satellite positioning, requiring fallback to vision-aided inertial navigation. Optical flow fused with IMU compensates for drift under moderate winds and good visibility. This maintains formation integrity and situational awareness without relying on compromised signals." 2025-11-01T18:04:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Powerline_Inspection_at_Industrial_Plant_with_Lightning_Risk_7c7e9a2400ad_mcq.json,uavbench-mcq-v1,Powerline_Inspection_at_Industrial_Plant_with_Lightning_Risk,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 85m AGL, 240° 8m/s winds, and 30% battery, how should the UAV respond to GNSS jamming and a westward-drifting obstacle?","Fixed-wing UAV conducts powerline inspection at an industrial plant with a lightning risk. Operations occur within a defined polygon airspace, bounded between 20 and 120 meters AGL. Weather includes 8 m/s winds from 240°, gusts up to 4 m/s, and good visibility, but lightning poses a hazard. The UAV carries RGB and thermal cameras for inspection and relies on battery power with a 30% reserve. A no-fly zone cylinder is active near the center of the site, restricting access to a critical area. A conflicting UAV traffic enters from the south, requiring separation management. A moving spherical obstacle drifts westward along a powerline, adding dynamic collision risk. GNSS jamming occurs mid-mission, lasting 30 seconds with 80% severity, challenging navigation. Communication experiences a brief downlink loss window, impacting data transmission. The mission requires runway-assisted takeoff and landing, with strict separation thresholds for safety.",Descend to 25m AGL to reduce wind exposure and conserve energy,Climb to 115m AGL for clearer navigation and obstacle clearance,Hold position at 85m AGL using visual feedback until GNSS returns,Turn north immediately to avoid obstacle and maintain separation,Reduce speed by 20% to improve control stability in jamming,Execute emergency landing at nearest runway due to system faults,"Follow curved path west, maintaining 85m AGL and using terrain awareness","[""Descend to 25m AGL to reduce wind exposure and conserve energy"", ""Climb to 115m AGL for clearer navigation and obstacle clearance"", ""Hold position at 85m AGL using visual feedback until GNSS returns"", ""Turn north immediately to avoid obstacle and maintain separation"", ""Reduce speed by 20% to improve control stability in jamming"", ""Execute emergency landing at nearest runway due to system faults"", ""Follow curved path west, maintaining 85m AGL and using terrain awareness""]","Option G balances aerodynamic stability at 85m AGL, avoids the drifting obstacle with lateral maneuvering, and uses terrain-relative navigation during GNSS outage. It preserves energy, maintains separation from conflicting UAV traffic, and complies with airspace and battery reserve requirements." 2025-11-01T18:04:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Powerline_Inspection_in_Foggy_Airport_Perimeter_706981b663a0_mcq.json,uavbench-mcq-v1,Powerline_Inspection_in_Foggy_Airport_Perimeter,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,E,False,"At 300s into the mission, fog reduces visibility and a moving obstacle approaches within 15s time-to-closest-approach. Wind is 6.5 m/s at 240°. What should the UAV do?","This is a powerline inspection mission conducted near an airport perimeter. The UAV operates in controlled airspace with a defined geofenced area and a cylindrical no-fly zone around a critical structure. Weather conditions include fog and poor visibility, with a 6.5 m/s wind from 240 degrees and gusts up to 3.2 m/s. A hexacopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors is used for the inspection. The UAV has a battery capacity of 450 Wh and carries a 0.7 kg payload, requiring careful energy management. Flight altitude is restricted between 10 m and 120 m AGL, and the UAV must avoid the no-fly cylinder near the center of the zone. The mission follows a rectangular corridor pattern at 30 m altitude, lasting up to 600 seconds. A moving spherical obstacle travels eastward at 2 m/s, adding dynamic risk. The UAV must maintain 25 m separation from other traffic, with a traffic alert threshold of 15 seconds time-to-closest-approach. GNSS multipath effects may occur near structures, and operations are constrained by proximity to airport infrastructure.",Climb to 110 m AGL to improve GNSS reception and continue inspection,Descend to 10 m AGL to minimize wind impact and proceed on course,"Maintain 30 m AGL, continue mission until 600s despite obstacle proximity","Turn north to avoid obstacle, maintain 30 m AGL and continue inspection","Abort mission, return to base via shortest path at 120 m AGL","Divert east at 30 m AGL, parallel to obstacle path, then resume corridor",Initiate emergency descent and land immediately at current location,"[""Climb to 110 m AGL to improve GNSS reception and continue inspection"", ""Descend to 10 m AGL to minimize wind impact and proceed on course"", ""Maintain 30 m AGL, continue mission until 600s despite obstacle proximity"", ""Turn north to avoid obstacle, maintain 30 m AGL and continue inspection"", ""Abort mission, return to base via shortest path at 120 m AGL"", ""Divert east at 30 m AGL, parallel to obstacle path, then resume corridor"", ""Initiate emergency descent and land immediately at current location""]","The UAV must maintain 25 m separation from moving obstacles and avoid dynamic risks exacerbated by poor visibility and wind. Continuing or diverting at low altitude increases collision and multipath risk near structures. Returning at 120 m AGL maximizes separation, uses remaining endurance safely, and complies with AGL and obstacle clearance requirements." 2025-11-01T18:04:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Powerline_Inspection_in_Forest_with_Fog_b369f41a22cf_mcq.json,uavbench-mcq-v1,Powerline_Inspection_in_Forest_with_Fog,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,F,False,"UAV faces icing, degraded GNSS, and a drifting obstacle at 38m AGL with 45s left in icing event and 32% battery.","This is a powerline inspection mission conducted in a forested area with dense fog and icing conditions. The UAV operates within a defined corridor between 5 and 60 meters AGL, bounded by a polygonal geofence. Weather includes moderate wind at 6 m/s from 240°, increasing with altitude, and gusts up to 3.5 m/s, along with poor visibility due to fog. An octocopter equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors carries out the mission. GNSS signals are degraded due to multipath effects and electromagnetic interference, with occasional signal jamming at -85 dBm. A static no-fly zone and a moving no-fly cylinder create dynamic constraints, while a second UAV and a drifting spherical obstacle require real-time avoidance. The UAV must maintain separation of at least 15 meters from traffic, with a time-to-closest approach threshold of 5 seconds. Battery endurance is limited, with a 30% reserve required and a total energy budget of 650 Wh. An icing event occurs mid-mission, reducing performance for 45 seconds. Communication experiences two brief downlink outages, and the UAV must complete its waypoint corridor within 10 minutes.",Continue mission; maintain altitude and speed,Descend to 10m AGL to avoid obstacle,Climb above 60m AGL to escape icing,Abort mission; return to base immediately,Hover in place until obstacle clears path,"Deviate 20m east, stay within geofence",Transmit emergency; request manual override,"[""Continue mission; maintain altitude and speed"", ""Descend to 10m AGL to avoid obstacle"", ""Climb above 60m AGL to escape icing"", ""Abort mission; return to base immediately"", ""Hover in place until obstacle clears path"", ""Deviate 20m east, stay within geofence"", ""Transmit emergency; request manual override""]","Deviation within geofence balances obstacle avoidance, mission continuity, and safety. It respects altitude limits, avoids controlled flight into terrain, and preserves battery while maintaining separation. Other options violate altitude constraints, risk collision, or unnecessarily abort a recoverable mission." 2025-11-01T18:04:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Powerline_Inspection_in_Rural_Area_with_Gusts_a85e17e484e6_mcq.json,uavbench-mcq-v1,Powerline_Inspection_in_Rural_Area_with_Gusts,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 110 m AGL, 4.5 m/s gusts, and 8 m/s wind from 240°, how should the UAV adjust for a thermal inspection under GNSS and downlink constraints?","Fixed-wing UAV conducts powerline inspection in a rural area with good visibility and wind gusts up to 4.5 m/s. The mission operates within a defined corridor between 20 and 120 meters AGL. The UAV is equipped with RGB and thermal cameras for visual inspection tasks. A static no-fly zone and a moving no-fly cylinder require real-time avoidance. Wind blows from 240 degrees at 8 m/s, increasing flight challenges. The UAV must maintain separation from another traffic UAV and a moving spherical obstacle. Communication includes two short downlink loss windows affecting data transmission. GNSS, IMU, and other sensors support navigation, though multipath effects are not explicitly modeled. The flight must conclude at the designated runway, with battery reserve and mission success as key performance metrics.",Descend to 20 m AGL to minimize wind exposure,Climb to 130 m AGL for smoother airflow,Maintain 110 m AGL with increased airspeed,Reduce speed to save battery and delay mission,Fly directly through moving obstacle path to save time,Abort mission due to communication downlink loss,"Adjust lateral path and airspeed to balance energy, safety, and tracking","[""Descend to 20 m AGL to minimize wind exposure"", ""Climb to 130 m AGL for smoother airflow"", ""Maintain 110 m AGL with increased airspeed"", ""Reduce speed to save battery and delay mission"", ""Fly directly through moving obstacle path to save time"", ""Abort mission due to communication downlink loss"", ""Adjust lateral path and airspeed to balance energy, safety, and tracking""]","G optimally integrates aerodynamic stability, obstacle avoidance, and energy efficiency by adjusting lateral trajectory and airspeed. It maintains safe separation from dynamic obstacles and the no-fly zones while preserving battery and handling wind disturbances. Other choices violate altitude limits, risk collisions, waste energy, or unnecessarily compromise mission success." 2025-11-01T18:04:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Powerline_Inspection_in_Sandstorm_-_Dense_Urban_527f21eb4938_mcq.json,uavbench-mcq-v1,Powerline_Inspection_in_Sandstorm_-_Dense_Urban,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"With 1800 Wh battery, 30% reserve, and 600s mission, which action maximizes inspection completion under GNSS jamming and comms loss?","This is a powerline inspection mission in a dense urban environment. The UAV operates within a 500m x 500m geofenced area with a minimum altitude of 10m and a maximum of 150m AGL. Conditions include strong winds at 12 m/s from 240 degrees, gusts up to 6 m/s, and poor visibility due to an active sandstorm. The UAV is an octocopter equipped with RGB and thermal cameras, LiDAR, radar, and full navigation sensors for inspection tasks. It carries a 1.8 kg payload with moderate drag, powered by an 1800 Wh battery with a 30% reserve requirement. A static no-fly zone is present near the center, and a dynamic no-fly zone moves near the eastern route. The mission must be completed within 600 seconds, following a corridor pattern across five waypoints. The UAV must maintain 25m separation from other traffic and avoid a moving spherical obstacle near one powerline segment. GNSS jamming occurs at 200 seconds, lasting 30 seconds with high severity, challenging navigation. Downlink communication is lost between 180–210 seconds, reducing telemetry and sensor data transmission.",Increase speed to finish early and conserve power,Disable thermal camera to save energy during jamming,Climb to 150m for better obstacle visibility and signal,Hover for 30s during GNSS outage to stabilize sensors,Reduce LiDAR scan rate and use radar for navigation,Fly direct through eastern route despite dynamic no-fly zone,Transmit full RGB data despite downlink interruption,"[""Increase speed to finish early and conserve power"", ""Disable thermal camera to save energy during jamming"", ""Climb to 150m for better obstacle visibility and signal"", ""Hover for 30s during GNSS outage to stabilize sensors"", ""Reduce LiDAR scan rate and use radar for navigation"", ""Fly direct through eastern route despite dynamic no-fly zone"", ""Transmit full RGB data despite downlink interruption""]","Reducing LiDAR scan rate cuts power use while radar maintains navigation during GNSS outage. This balances sensor utility and energy, preserving battery for critical phases. Other options either waste energy, risk safety, or exceed communication limits." 2025-11-01T18:04:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Quadrotor_Battery_Emergency_in_Volcanic_Fog_Zone_9184157523ca_mcq.json,uavbench-mcq-v1,Quadrotor_Battery_Emergency_in_Volcanic_Fog_Zone,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"At 305s, motor fault reduces thrust 25%. Wind at 50m is 8 m/s from 260°. Which action ensures landing within 600s and avoids dynamic NFZ drift?","This scenario involves a battery emergency forced landing mission for a quadrotor UAV operating in a hazardous volcanic zone with poor visibility due to fog and volcanic ash. The UAV is equipped with a battery-powered quadrotor design carrying RGB and thermal cameras as payload, relying on GNSS, IMU, barometer, magnetometer, LiDAR, and visual sensors for navigation. It operates within a defined airspace polygon from 5 to 120 meters AGL, with static and moving no-fly zones, including a central cylindrical exclusion zone and a drifting dynamic NFZ. Weather conditions include moderate winds at 6 m/s from 240° at ground level, increasing to 8 m/s at 50 meters with shifting direction, along with gusts and thermal updrafts near a plume at (180,120). GNSS performance is degraded by multipath effects and intermittent jamming at -85 dBm, compounded by electromagnetic interference. The mission begins at (50,50,10) and follows a custom path toward an emergency landing site at (250,150), with a secondary option at (20,180), all under a 600-second time budget. The UAV faces two critical faults: a GNSS jamming event starting at 120 seconds lasting 45 seconds, and a partial motor failure at 300 seconds reducing thrust by 25%. Communication links experience brief uplink/downlink outages between 110–130s and 310–325s, with minimum RSSI at -92 dBm. A single traffic UAV enters from the east at 280,100,40 moving westward at 8 m/s, requiring separation maintenance below 10 meters and TTC thresholds of 5 seconds.","Climb to 110m AGL, then proceed to (250,150) at max speed","Descend to 20m AGL and divert directly to (20,180)","Hold at 60m for 30s to reassess, then head to (250,150)","Accelerate to 14 m/s toward (250,150) at 40m AGL","Turn south to avoid traffic, descend to 10m, land immediately","Fly west at 50m AGL to bypass plume updrafts en route to (250,150)","Reduce speed to 6 m/s, maintain 80m AGL toward (250,150)","[""Climb to 110m AGL, then proceed to (250,150) at max speed"", ""Descend to 20m AGL and divert directly to (20,180)"", ""Hold at 60m for 30s to reassess, then head to (250,150)"", ""Accelerate to 14 m/s toward (250,150) at 40m AGL"", ""Turn south to avoid traffic, descend to 10m, land immediately"", ""Fly west at 50m AGL to bypass plume updrafts en route to (250,150)"", ""Reduce speed to 6 m/s, maintain 80m AGL toward (250,150)""]","Partial motor failure reduces climb and speed margins, making higher altitudes riskier due to wind and thrust loss. The secondary site (20,180) is closer and downwind, reducing time and energy use while avoiding the plume's updrafts and dynamic NFZ. Diverting early at low altitude conserves battery and maintains separation from traffic, complying with endurance and safety constraints." 2025-11-01T18:04:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Quadrotor_GPS_Spoofing_in_Volcanic_Rain_Zone_95e7d321cc2b_mcq.json,uavbench-mcq-v1,Quadrotor_GPS_Spoofing_in_Volcanic_Rain_Zone,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 60s GNSS spoofing, moderate SW winds, and a moving obstacle, which strategy optimizes battery use and mission continuity at 60m altitude?","A quadrotor UAV conducts an inspection mission in a volcanic zone with restricted airspace. The flight area is a 200m x 200m polygon with a cylindrical no-fly zone at its center. The UAV is equipped with GNSS, IMU, camera, and thermal sensors, relying on battery power. It must navigate under poor visibility due to rain and face a lightning risk, with moderate winds from the southwest. GNSS spoofing occurs midway, lasting 60 seconds, and electromagnetic interference causes signal degradation. The mission follows a corridor pattern at 60m altitude, avoiding a moving spherical obstacle near the center. A second UAV flies through the area, requiring separation monitoring to avoid breaches. Downlink communication fails intermittently, limiting telemetry feedback. Battery reserve and GNSS outage duration are critical performance metrics.",Increase speed to minimize exposure time,Descend to 40m to reduce wind resistance,Switch to optical flow mode during GNSS outage,Circle the obstacle at maximum sensor frame rate,Transmit full-resolution video continuously,Climb to 80m for better signal reception,Hover and wait until spoofing ends,"[""Increase speed to minimize exposure time"", ""Descend to 40m to reduce wind resistance"", ""Switch to optical flow mode during GNSS outage"", ""Circle the obstacle at maximum sensor frame rate"", ""Transmit full-resolution video continuously"", ""Climb to 80m for better signal reception"", ""Hover and wait until spoofing ends""]","Optical flow uses less power than GNSS reacquisition and maintains navigation accuracy. It enables continued progress along the corridor without excessive computation or communication. This balances endurance, safety, and mission progress under sensor degradation." 2025-11-01T18:04:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Quadrotor_Moving_NFZ_Event_in_Dense_Urban_Area_with_Hot_Weather_03d49187b41b_mcq.json,uavbench-mcq-v1,Quadrotor_Moving_NFZ_Event_in_Dense_Urban_Area_with_Hot_Weather,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"Given 8 m/s winds at 135°, a moving NFZ at 2.2 m/s, and 600-second limit, which strategy balances energy, safety, and coverage?","A quadrotor UAV conducts a survey mission in a dense urban airspace with a defined geofenced area. The mission follows a corridor pattern across four waypoints at altitudes between 10 and 120 meters AGL. Weather conditions include strong 8 m/s winds from 135 degrees with 4 m/s gusts, though visibility remains good. The UAV is equipped with GNSS, IMU, lidar, and RGB camera payload, suitable for navigation and data collection. A static no-fly zone is present at the center of the area, with an additional moving cylindrical NFZ shifting southwest at 2.2 m/s. Air traffic includes a single UAV moving west, requiring separation maintenance of at least 25 meters. A moving spherical obstacle also drifts through the environment, posing a dynamic collision risk. GNSS multipath effects are expected due to surrounding urban structures, potentially affecting positioning accuracy. The UAV must manage battery reserves carefully under high wind and maneuvering demands to complete the mission within 600 seconds.",Climb to 130 m to avoid obstacles and reduce gust impact,Descend below 10 m to minimize wind exposure,Fly direct paths at max speed to conserve battery,Adjust altitude between 10–120 m to optimize wind alignment and sensor coverage,Hover 30 seconds at each waypoint to ensure data integrity,Reroute westward to exploit tailwind and avoid moving obstacles,Maintain 25 m separation using GNSS-only tracking of traffic,"[""Climb to 130 m to avoid obstacles and reduce gust impact"", ""Descend below 10 m to minimize wind exposure"", ""Fly direct paths at max speed to conserve battery"", ""Adjust altitude between 10–120 m to optimize wind alignment and sensor coverage"", ""Hover 30 seconds at each waypoint to ensure data integrity"", ""Reroute westward to exploit tailwind and avoid moving obstacles"", ""Maintain 25 m separation using GNSS-only tracking of traffic""]","Option D balances aerodynamic efficiency by leveraging altitude variation to find favorable wind layers, maintains sensor performance within 10–120 m, and adapts to dynamic obstacles using multi-sensor fusion. It avoids GNSS multipath pitfalls at low altitudes while conserving energy through optimized path planning, ensuring mission completion within 600 seconds and compliance with separation and geofencing." 2025-11-01T18:04:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_Scenario_with_Amphibious_UAV_in_Dense_Urban_Hot_Environment_7c8d0924a837_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_Scenario_with_Amphibious_UAV_in_Dense_Urban_Hot_Environment,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,G,False,"With GNSS degraded by multipath and 13.5 m/s wind shear, which navigation strategy ensures runway alignment during transition?","This scenario involves an inspection mission conducted by an amphibious UAV in a dense urban environment with a designated runway. The UAV operates within a confined airspace bounded by static and dynamic no-fly zones, including a cylindrical exclusion zone near the runway approach. Weather conditions include strong winds up to 13.5 m/s increasing with altitude, wind shear, and hot temperature extremes affecting performance. The UAV is battery-powered with a visual inspection payload and equipped with GNSS, IMU, barometer, magnetometer, LiDAR, and RGB camera. It must navigate around a moving spherical obstacle and avoid a dynamic no-fly zone drifting across the area. GNSS signals are degraded due to multipath effects and electromagnetic interference, with moderate jamming present. The mission requires use of the runway for transition between VTOL and forward flight, with defined transition times. Communication links experience periodic uplink/downlink outages, requiring robust autonomy. The UAV must maintain separation from intruding air traffic entering the airspace, monitored via DAA metrics with a 25-meter separation threshold. Successful mission completion depends on navigating constraints while preserving battery and avoiding collisions or geofence breaches.",Rely solely on GNSS with EKF filtering,Use IMU-LiDAR fusion with static map matching,Switch to barometer-only altitude control,Follow magnetometer heading toward runway,Navigate using visual odometry from RGB camera,Depend on pre-planned GPS waypoints with drift correction,Fuse LiDAR and visual with wind-compensated IMU,"[""Rely solely on GNSS with EKF filtering"", ""Use IMU-LiDAR fusion with static map matching"", ""Switch to barometer-only altitude control"", ""Follow magnetometer heading toward runway"", ""Navigate using visual odometry from RGB camera"", ""Depend on pre-planned GPS waypoints with drift correction"", ""Fuse LiDAR and visual with wind-compensated IMU""]",GNSS degradation and magnetic interference necessitate multi-sensor fusion. LiDAR and visual odometry provide spatial consistency while wind-adapted IMU compensates for dynamics. This fusion maintains precision during critical runway transition despite environmental noise. 2025-11-01T18:04:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_Scenario_with_Amphibious_UAV_in_Industrial_Plant_643fa846054d_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_Scenario_with_Amphibious_UAV_in_Industrial_Plant,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 15 m AGL with GNSS jamming at -75 dBm and 8.5 m/s wind, which navigation mode ensures runway alignment?","This is a runway incursion detect-and-avoid (DAA) inspection mission using an amphibious fixed-wing VTOL UAV in an industrial plant environment. The UAV operates within a defined airspace between 5 m and 120 m AGL, bounded by a polygonal geofence and multiple static and moving no-fly zones. Weather includes moderate wind at 8.5 m/s from 210° with gusts up to 4.2 m/s, increasing with altitude, and thermal updrafts near structures. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors but faces GNSS multipath, signal jamming at -75 dBm, and electromagnetic interference. It must navigate around a static NFZ near a runway threshold and avoid a dynamically moving cylindrical NFZ drifting southwest. A second UAV and a moving spherical obstacle create traffic challenges requiring DAA compliance with 25 m separation and 15 s time-to-close thresholds. The mission involves a corridor-style inspection pattern requiring runway use for landing, with strict battery reserve requirements and brief communication loss windows. The amphibious UAV transitions between vertical and forward flight, leveraging aerodynamic efficiency while carrying a 2.1 kg payload. Notable constraints include wind shear, sensor degradation risks, and proximity to industrial infrastructure affecting navigation reliability.",Trust GNSS and trim IMU for wind drift,Switch to lidar-only SLAM in corridor,"Fuse IMU and visual odometry, downweight GNSS",Rely on magnetic heading and GPS speed,Use pure dead reckoning with IMU bias,"Align camera to runway, ignore sensor fusion",Boost GNSS gain to overcome jamming,"[""Trust GNSS and trim IMU for wind drift"", ""Switch to lidar-only SLAM in corridor"", ""Fuse IMU and visual odometry, downweight GNSS"", ""Rely on magnetic heading and GPS speed"", ""Use pure dead reckoning with IMU bias"", ""Align camera to runway, ignore sensor fusion"", ""Boost GNSS gain to overcome jamming""]",GNSS jamming at -75 dBm invalidates reliable positioning; IMU-visual fusion maintains accuracy. Wind and multipath disrupt magnetic and GNSS sensors. Visual odometry compensates for drift and supports runway alignment under sensor degradation. 2025-11-01T18:04:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_-_Glider_in_Dense_Urban_Cold_512a4543f7ba_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_-_Glider_in_Dense_Urban_Cold,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,A,False,"Glider UAV faces 300s icing, westerly winds, GNSS issues, and 25m DAA. How to optimize battery and routing?","This scenario involves a glider UAV conducting an inspection mission in dense urban airspace near an active runway. The mission requires precise navigation along a corridor of waypoints with a mandatory runway landing at the end. The UAV is equipped with a battery-powered electric propulsion system, RGB camera, LiDAR, and standard avionics, but no radar or thermal camera. Weather conditions include strong westerly winds increasing with altitude, gusts, and icing conditions that temporarily degrade performance. The environment features GNSS multipath interference, electromagnetic noise, and moderate signal jamming, challenging navigation reliability. A dynamic no-fly zone moves through the airspace, and a static NFZ blocks part of the flight path near the center. A second UAV enters the airspace on a conflicting trajectory, requiring detect-and-avoid (DAA) compliance with a 25-meter separation minimum. Thermal updrafts are present, offering potential lift, but icing at 300 seconds reduces aerodynamic efficiency for one minute. Communication experiences a brief downlink outage, and the glider must manage battery reserves carefully under increased drag and wind effects. The mission emphasizes safe runway approach, obstacle avoidance, and maintaining separation despite environmental and sensor challenges.",Climb early to use thermal updrafts and avoid wind shear layers,Increase camera frame rate to detect dynamic NFZ boundary shifts,Extend flight path to circumvent static NFZ using maximum glide ratio,Deploy full propulsion continuously to ensure timely runway approach,Shut down LiDAR to save power and rely on RGB-GPS fusion,Delay DAA maneuver until visual confirmation to reduce computation load,Transmit all LiDAR data real-time despite downlink intermittency,"[""Climb early to use thermal updrafts and avoid wind shear layers"", ""Increase camera frame rate to detect dynamic NFZ boundary shifts"", ""Extend flight path to circumvent static NFZ using maximum glide ratio"", ""Deploy full propulsion continuously to ensure timely runway approach"", ""Shut down LiDAR to save power and rely on RGB-GPS fusion"", ""Delay DAA maneuver until visual confirmation to reduce computation load"", ""Transmit all LiDAR data real-time despite downlink intermittency""]","Using thermal updrafts conserves battery by reducing propulsion needs while compensating for wind and glide efficiency losses. A climb aligns with energy-aware routing and maintains separation without increasing power draw. Other options either over-consume energy, risk collision, or overload fragile communication links." 2025-11-01T18:04:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_Scenario_with_Fog_and_Wind_Farm_a27201292f8b_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_Scenario_with_Fog_and_Wind_Farm,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 50 m AGL with 8.0 m/s westerly wind and 3.2 m/s gusts, what ensures safe, stable flight within energy limits during fog?","This is an inspection mission conducted in a wind farm environment with poor visibility due to fog and moderate wind. The UAV is a quadrotor equipped with RGB camera, LiDAR, GNSS, IMU, magnetometer, and barometer for navigation and sensing. It operates within a defined corridor between 10 and 120 meters AGL, avoiding static and dynamic no-fly zones, including a central cylinder and a moving restricted area. The flight must navigate around a runway incursion risk near the final approach threshold at (350, 250) while maintaining separation from incoming traffic. Winds are strong, increasing with altitude from 6.5 m/s at ground level to 8.0 m/s at 50 meters, with a westerly direction and gusts up to 3.2 m/s. GNSS signals are degraded due to multipath effects, and electromagnetic interference is present, challenging navigation reliability. The UAV has a 250 Wh battery with a 30% reserve requirement, limiting available energy for the 600-second mission. Communication experiences brief downlink losses between 120–130 and 450–465 seconds, requiring robust autonomy. The scenario emphasizes detect-and-avoid performance with a 25-meter separation threshold and 10-second time-to-closest-approach alerting.",Climb to 120 m for clearer GNSS despite higher wind drag,Descend to 10 m AGL to reduce wind exposure and save energy,Maintain 50 m AGL with active gust compensation and LiDAR-aided navigation,"Hover temporarily to wait out gusts, conserving energy passively",Increase speed to 15 m/s to minimize crosswind drift and exposure time,Switch to magnetometer-only heading control to reduce sensor load,Fly downwind at low thrust to maximize range and battery life,"[""Climb to 120 m for clearer GNSS despite higher wind drag"", ""Descend to 10 m AGL to reduce wind exposure and save energy"", ""Maintain 50 m AGL with active gust compensation and LiDAR-aided navigation"", ""Hover temporarily to wait out gusts, conserving energy passively"", ""Increase speed to 15 m/s to minimize crosswind drift and exposure time"", ""Switch to magnetometer-only heading control to reduce sensor load"", ""Fly downwind at low thrust to maximize range and battery life""]","Maintaining 50 m balances aerodynamic stability, sensor reliability, and energy use. LiDAR compensates for degraded GNSS in fog, while active gust rejection ensures control. This altitude avoids extreme winds and maintains separation, staying within the corridor and energy budget." 2025-11-01T18:04:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_Scenario_with_Heavy_Lift_UAV_in_Cold_Weather_cb0c70815953_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_Scenario_with_Heavy_Lift_UAV_in_Cold_Weather,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 110s, UAV faces 14 m/s winds and approaching dynamic no-fly zone; at 120s, icing reduces lift. What action minimizes risk before GNSS jamming at 300s?","Heavy lift UAV conducts an inspection mission near an airport perimeter in cold weather with snowfall and icing conditions. The mission occurs in controlled airspace with a maximum altitude of 120 m AGL and includes static and moving no-fly zones. Weather includes strong winds up to 14 m/s increasing with altitude, wind shear, and thermal updrafts near infrastructure. The UAV is equipped with GNSS, IMU, lidar, RGB and thermal cameras, but faces GNSS multipath, jamming, and electromagnetic interference. A dynamic no-fly zone moves through the area, and a temporary runway incursion creates a collision risk. The UAV must maintain separation from other air traffic and avoid a moving obstacle near the flight path. Icing conditions at 120 seconds reduce lift and increase drag, followed by a GNSS jamming event at 300 seconds. Communication dropouts occur briefly at 310 seconds, challenging command and control. Battery reserves are tightly managed due to high power demands in cold, windy conditions. The mission emphasizes detect-and-avoid performance, navigation resilience, and fault tolerance in a complex operational environment.",Climb to 120 m AGL for better GNSS signal clarity,Maintain current altitude and speed to conserve battery,Descend to 80 m AGL and reduce speed to limit icing effects,Accelerate through no-fly zone to exit before 120s,Turn back toward launch site immediately at full power,Ascend rapidly to 130 m AGL to avoid moving obstacle,Hold position at 110 m AGL to assess multipath interference,"[""Climb to 120 m AGL for better GNSS signal clarity"", ""Maintain current altitude and speed to conserve battery"", ""Descend to 80 m AGL and reduce speed to limit icing effects"", ""Accelerate through no-fly zone to exit before 120s"", ""Turn back toward launch site immediately at full power"", ""Ascend rapidly to 130 m AGL to avoid moving obstacle"", ""Hold position at 110 m AGL to assess multipath interference""]",Descending to 80 m AGL reduces exposure to stronger winds and icing severity while conserving energy. It avoids the altitude ceiling violation and delays GNSS dependency until jamming begins. This preserves battery and control margins ahead of communication dropouts. 2025-11-01T18:04:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Powerline_Corridor_Inspection_under_Microburst_Risk_d0472b05e0c1_mcq.json,uavbench-mcq-v1,Powerline_Corridor_Inspection_under_Microburst_Risk,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"At 190s, GNSS jamming begins with 18 m/s winds; UAV must inspect below 120m AGL within 600s. What action minimizes risk?","This scenario involves a UAV powerline corridor inspection mission using a convertiplane equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The flight occurs in a defined polygonal airspace with a minimum altitude of 10 meters AGL and a maximum of 120 meters. Weather conditions include strong winds up to 18 m/s with directional shear and a microburst risk, requiring careful energy and trajectory management. The UAV must avoid static and dynamic no-fly zones, including a moving obstacle and a drifting no-fly cylinder. GNSS multipath, intermittent jamming, and electromagnetic interference challenge navigation reliability. The mission is conducted as a three-UAV swarm with leader-follower-relay roles, requiring inter-UAV separation of at least 25 meters. A runway takeoff and landing are required, with defined preferred and emergency sites. Two critical faults are injected: a GNSS jamming event at 180 seconds and an icing event at 300 seconds, both degrading performance. Communication dropouts occur between 200–210 and 500–515 seconds, limiting telemetry and control. The UAV must complete the inspection within 600 seconds while managing battery reserves, weather risks, and separation from traffic and obstacles.",Descend to 10m AGL to avoid jamming,Continue current heading at 110m AGL,Climb to 120m AGL for better signal,Divert immediately to emergency runway,Reduce swarm separation to 15m for cohesion,Initiate return via preferred runway at 110m AGL,Hold position at 60m AGL for signal recovery,"[""Descend to 10m AGL to avoid jamming"", ""Continue current heading at 110m AGL"", ""Climb to 120m AGL for better signal"", ""Divert immediately to emergency runway"", ""Reduce swarm separation to 15m for cohesion"", ""Initiate return via preferred runway at 110m AGL"", ""Hold position at 60m AGL for signal recovery""]","GNSS jamming at 190s requires maintaining navigation integrity; descending to 10m increases multipath and obstacle risk. Continuing or climbing risks signal loss and violates jamming response protocol. Diverting early at 110m AGL maintains AGL band, preserves energy, and ensures runway landing within 600s while avoiding swarm separation violation." 2025-11-01T18:04:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_Scenario_with_High_Altitude_Pseudo-Satellite_f87d704af239_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_Scenario_with_High_Altitude_Pseudo-Satellite,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"Plan route avoiding NFZ, 16 m/s winds at 3000 m, and moving obstacle with 100 m DAA minima under GNSS drift.","This mission involves a high-altitude pseudo-satellite UAV conducting an inspection in harbor airspace. The UAV is equipped with radar, RGB camera, and standard navigation sensors, powered solely by a large battery. It operates between 100 and 4500 meters AGL, navigating a predefined corridor with a required runway landing. Strong winds increase with altitude, reaching 16 m/s at 3000 m, with gusts and poor visibility due to hail. GNSS signals are degraded by multipath effects and jamming at -75 dBm, compounded by electromagnetic interference. A no-fly zone cylinder is present near the runway area, requiring careful path planning. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV on a crossing path. An icing event occurs mid-mission, reducing performance for one minute. Communication experiences two brief downlink/uplink loss windows, and the UAV must complete its mission within 600 seconds while adhering to DAA thresholds of 100 m separation and 30 s time-to-closest.",Climb to 4500 m early for smoother winds,Descend below 100 m to avoid gusts,Fly direct at 3000 m through NFZ edge,Reroute east maintaining 2000 m AGL,Match obstacle velocity for close pass,Delay departure to reset icing clock,Hold altitude and reduce speed at 2800 m,"[""Climb to 4500 m early for smoother winds"", ""Descend below 100 m to avoid gusts"", ""Fly direct at 3000 m through NFZ edge"", ""Reroute east maintaining 2000 m AGL"", ""Match obstacle velocity for close pass"", ""Delay departure to reset icing clock"", ""Hold altitude and reduce speed at 2800 m""]","Maintaining 2000 m avoids strong winds at 3000 m and stays above 100 m AGL while enabling safe detour around the NFZ and moving obstacle. Eastward reroute accounts for GNSS drift and wind-induced navigation errors, preserving DAA margins. Other options violate altitude limits, breach NFZ, or reduce separation below 100 m." 2025-11-01T18:04:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_Scenario_with_Quadrotor_in_Sandstorm_at_Wind_Farm_a4cc8752c5fc_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_Scenario_with_Quadrotor_in_Sandstorm_at_Wind_Farm,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 45s GNSS jamming onset, UAV1 must reroute near 60m no-fly ceiling while avoiding UAV2 approaching from 240° with 6 m/s gusts.","This is an inspection mission conducted by a quadrotor UAV in a wind farm environment. The flight occurs in a confined airspace with a maximum altitude of 120 meters AGL and a geofenced rectangular area. A no-fly zone cylinder is present near the center, restricting access between 10 and 60 meters altitude. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors for navigation and observation. Mission waypoints follow a corridor pattern to inspect infrastructure within time and battery constraints. A sandstorm reduces visibility, and strong winds from 240 degrees with gusts up to 6 m/s challenge stability. A second UAV enters the airspace from beyond the geofence, approaching on a potential conflict trajectory. A moving spherical obstacle drifts westward at low altitude, adding dynamic collision risk. GNSS jamming occurs mid-mission for 45 seconds, testing resilience to signal loss. Downlink communication is lost during a critical window, limiting telemetry feedback.",Ascend to 110m and hold for UAV2 to pass,Descend to 55m and continue inspection westward,Hover at current position until jamming ends,Hand off next waypoint to UAV2 via datalink,Reduce speed and fly south to clear airspace,Broadcast position via ADS-B and reverse course,Switch to lidar-IMU navigation and delay task,"[""Ascend to 110m and hold for UAV2 to pass"", ""Descend to 55m and continue inspection westward"", ""Hover at current position until jamming ends"", ""Hand off next waypoint to UAV2 via datalink"", ""Reduce speed and fly south to clear airspace"", ""Broadcast position via ADS-B and reverse course"", ""Switch to lidar-IMU navigation and delay task""]","During GNSS outage, lidar-IMU fusion maintains navigation accuracy without relying on signals. Continuing the task risks collision or no-fly zone entry under degraded comms; handing off or hovering wastes time and energy. G ensures resilience, safety, and task continuity by using onboard sensors while delaying non-critical actions." 2025-11-01T18:04:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_in_Dense_Urban_with_Cold_Temperature_7cb189af9413_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_in_Dense_Urban_with_Cold_Temperature,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"At 420 s, icing reduces performance 40%. UAV must avoid NFZ, maintain 25 m separation, and reach waypoint at 35 m AGL despite wind gusts to 12 m/s.","This is an inspection mission using a battery-powered helicopter UAV in dense urban airspace. The UAV is equipped with RGB camera, LiDAR, GNSS, IMU, magnetometer, and barometer for navigation and sensing. It operates under challenging weather including snowfall, icing conditions, strong winds up to 12 m/s with gusts, and wind shear increasing with altitude. The environment features GNSS multipath effects, moderate jamming at -85 dBm, and electromagnetic interference. The flight area is bounded by a static geofence and includes a cylindrical no-fly zone near the center and a moving restricted zone drifting northwest. A runway is present but not required for this mission, though dynamic traffic and a moving obstacle increase collision risks. The UAV must maintain separation of at least 25 meters and avoid a traffic aircraft approaching head-on. Cold temperature effects are simulated via an icing fault event at 420 seconds that reduces performance by 40% for one minute. Communication experiences brief downlink outages, and low RSSI may affect telemetry. The mission emphasizes detect-and-avoid performance, battery endurance, and safe operation despite environmental and system challenges.","Climb to 50 m AGL for wind clearance, direct to waypoint","Descend to 20 m AGL, accelerate through NFZ perimeter",Hold position until icing fault clears after 60 seconds,"Bank 45° left, cut across cylindrical NFZ to save time","Turn right, detour 50 m around NFZ, maintain 35 m AGL","Descend to 30 m AGL, reduce speed to conserve battery","Ascend slowly, reroute east to avoid moving restricted zone","[""Climb to 50 m AGL for wind clearance, direct to waypoint"", ""Descend to 20 m AGL, accelerate through NFZ perimeter"", ""Hold position until icing fault clears after 60 seconds"", ""Bank 45° left, cut across cylindrical NFZ to save time"", ""Turn right, detour 50 m around NFZ, maintain 35 m AGL"", ""Descend to 30 m AGL, reduce speed to conserve battery"", ""Ascend slowly, reroute east to avoid moving restricted zone""]","Detouring 50 m around the NFZ at 35 m AGL maintains safety margin and avoids prohibited airspace. It balances wind resilience, sensor accuracy near buildings, and battery use under reduced performance. Other options breach NFZ, risk separation, or waste time and energy." 2025-11-01T18:04:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_in_Jungle_Sandstorm_985dd393be8c_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_in_Jungle_Sandstorm,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"Given GNSS jamming at -75 dBm, 2.5 m/s moving obstacle, and intermittent uplink, which action ensures secure, stable flight control?","The mission is an inspection flight in a jungle environment near a runway. The UAV is a fixed-wing glider equipped with RGB camera, LiDAR, and standard navigation sensors, powered by a 320Wh battery. It operates in poor visibility due to an active sandstorm, with strong and gusty winds increasing with altitude and shifting direction from 240° to 270°. The airspace includes a static no-fly zone and a moving no-fly zone drifting at 2.5 m/s, along with a designated runway aligned east-west. GNSS signals are degraded by multipath effects and moderate jamming at -75 dBm, compounded by electromagnetic interference. The UAV must maintain separation from oncoming traffic approaching head-on along the runway and avoid a moving spherical obstacle. Communication suffers from intermittent uplink outages, limiting remote control reliability. Flight is constrained by geofencing, altitude limits between 0–300 m AGL, and a requirement to land on the runway. Thermal updrafts are present but the glider must complete its corridor-style waypoint mission within 600 seconds while managing energy and avoiding stalls.",Switch to encrypted INS with LiDAR-aided terrain matching,Increase GNSS update rate to override jamming effects,Transmit unencrypted telemetry to reduce communication latency,Disable geofencing to allow emergency deviation from corridor,Accept all remote commands regardless of authentication delay,Rely on GPS-only navigation with RGB visual correction,Use open-loop control to bypass compromised uplink channel,"[""Switch to encrypted INS with LiDAR-aided terrain matching"", ""Increase GNSS update rate to override jamming effects"", ""Transmit unencrypted telemetry to reduce communication latency"", ""Disable geofencing to allow emergency deviation from corridor"", ""Accept all remote commands regardless of authentication delay"", ""Rely on GPS-only navigation with RGB visual correction"", ""Use open-loop control to bypass compromised uplink channel""]",A- Switching to encrypted INS with LiDAR-aided terrain matching preserves data integrity and availability under GNSS jamming and uplink loss. It maintains control stability by fusing trusted sensor modalities without exposing command channels to spoofing. This layered approach ensures mission continuity and obstacle avoidance despite adversarial conditions. 2025-11-01T18:04:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_in_Jungle_Sandstorm_b57ad080cf34_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_in_Jungle_Sandstorm,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"Given 25m DAA separation and 10m inter-drone spacing, how should the swarm adjust during a 10-second comms loss with 9.5 m/s winds from 240°?","Swarm of five drones conducts a grid survey mission in a dense jungle environment. The airspace includes a designated runway and a cylindrical no-fly zone near the center. Mission altitude ranges from 10 to 120 meters AGL, with operations confined within a polygonal geofence. Weather features strong 9.5 m/s winds from 240°, gusts up to 4.5 m/s, and poor visibility due to an active sandstorm. Each UAV is an octocopter with a 2.5 kg mass, 450 Wh battery, and carries an RGB camera payload. Sensors include GNSS, IMU, barometer, magnetometer, LiDAR, and camera for navigation and obstacle detection. A second UAV and a moving spherical obstacle create dynamic collision risks during flight. DAA system enforces a 25-meter separation and 10-second time-to-closest-approach threshold. Swarm operations require inter-UAV separation of at least 10 meters and face two brief communication loss windows. GNSS multipath and signal degradation are expected due to jungle canopy and sandstorm conditions.",All drones land immediately to avoid collisions,Maintain formation using LiDAR and local sensing,Increase altitude by 20m to reduce wind impact,Disband swarm and complete survey solo,Halt all motion until comms are restored,Reduce speed by 50% and widen spacing to 15m,One drone ascends to relay GNSS data,"[""All drones land immediately to avoid collisions"", ""Maintain formation using LiDAR and local sensing"", ""Increase altitude by 20m to reduce wind impact"", ""Disband swarm and complete survey solo"", ""Halt all motion until comms are restored"", ""Reduce speed by 50% and widen spacing to 15m"", ""One drone ascends to relay GNSS data""]","During communication loss, maintaining local coordination via LiDAR and inertial sensing preserves swarm geometry without violating 10m separation. Option B ensures continuous coverage and avoids collision in degraded GNSS conditions. Other choices either break task continuity, exceed safety margins, or introduce single points of failure." 2025-11-01T18:04:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_in_Underground_Mine_0ae06d786b90_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_in_Underground_Mine,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"A heavy-lift UAV must inspect 100m underground with GNSS outages, 10m separation from a moving obstacle and another UAV, and a dynamic no-fly zone.","This scenario involves a heavy-lift UAV conducting an inspection mission in an underground mine. The confined airspace is defined by a rectangular geofence with a maximum altitude of 50 meters AGL. Visibility is poor due to fog, and light wind blows from the southeast at 2 m/s with gusts up to 1.5 m/s. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors, supporting a 10 kg payload. A static no-fly zone blocks a central area, while a dynamic no-fly zone moves slowly through the environment. Another UAV and a moving spherical obstacle create dynamic collision risks. The UAV must maintain at least 10 meters separation from other traffic and avoid DAA breaches using a 10-meter separation threshold and 5-second TTC threshold. GNSS signals may experience multipath or outages, particularly in confined sections of the mine. Communication links experience brief downlink interruptions, requiring robust autonomy and contingency planning.","Proceed at 40 m altitude, maintain 15 m separation from other UAV",Descend to 30 m to avoid lidar interference from the spherical obstacle,Increase speed to 8 m/s to finish inspection before dynamic no-fly zone arrival,Rely solely on IMU during 12-second GNSS outage in narrow tunnel,Coordinate with other UAV to share real-time obstacle data via mesh link,Fly parallel to other UAV at 50 m altitude to maximize coverage,Delay mission until wind gusts subside below 1 m/s for stable flight,"[""Proceed at 40 m altitude, maintain 15 m separation from other UAV"", ""Descend to 30 m to avoid lidar interference from the spherical obstacle"", ""Increase speed to 8 m/s to finish inspection before dynamic no-fly zone arrival"", ""Rely solely on IMU during 12-second GNSS outage in narrow tunnel"", ""Coordinate with other UAV to share real-time obstacle data via mesh link"", ""Fly parallel to other UAV at 50 m altitude to maximize coverage"", ""Delay mission until wind gusts subside below 1 m/s for stable flight""]","Coordinating via mesh link ensures shared situational awareness and avoids DAA breaches using real-time data. It maintains 10m separation and compensates for GNSS outages through sensor fusion. Other options risk collision, violate separation, or ignore time-critical coordination needs." 2025-11-01T18:04:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_with_Amphibious_UAV_in_Snowfall_65d669b08d02_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_with_Amphibious_UAV_in_Snowfall,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"During snowfall at 45 m AGL, with 120 m max altitude and GNSS degraded, how should the UAV adjust to a runway incursion while maintaining LiDAR coverage?","The mission is an inspection flight in an industrial plant using an amphibious fixed-wing UAV equipped with RGB camera and LiDAR payload. The UAV operates in a snowfall environment with poor visibility and icing conditions, requiring careful energy management. Winds are moderate at ground level but increase with altitude, shifting direction and posing challenges for stability. The UAV must navigate around static and moving no-fly zones, including a dynamic obstacle near the runway area. GNSS signals are degraded due to multipath effects and interference, requiring robust sensor fusion. The UAV must maintain separation from oncoming traffic approaching the runway, triggering detect-and-avoid responses. Flight is constrained between 5 and 120 meters AGL within a defined polygonal geofence. A critical runway incursion scenario occurs during the mission, demanding precise DAA logic. An icing fault event temporarily reduces performance midway through the flight. Communication experiences brief dropouts, adding complexity to command reliability and telemetry monitoring.",Descend to 15 m AGL to avoid incursion and continue inspection,Climb to 110 m AGL to bypass obstacle and resume flight path,Halt propulsion and hover at current position until incursion clears,"Transmit priority alert to traffic, adjust heading left, and reduce speed",Switch to RGB-only mode to conserve power during signal dropout,Exit geofence and return to base via shortest diagonal trajectory,Delegate LiDAR scan to secondary UAV while rerouting laterally,"[""Descend to 15 m AGL to avoid incursion and continue inspection"", ""Climb to 110 m AGL to bypass obstacle and resume flight path"", ""Halt propulsion and hover at current position until incursion clears"", ""Transmit priority alert to traffic, adjust heading left, and reduce speed"", ""Switch to RGB-only mode to conserve power during signal dropout"", ""Exit geofence and return to base via shortest diagonal trajectory"", ""Delegate LiDAR scan to secondary UAV while rerouting laterally""]","D ensures detect-and-avoid compliance by initiating communication with oncoming traffic while safely adjusting trajectory within the 5–120 m AGL envelope. It maintains mission continuity without violating altitude or geofence constraints. Other options either break altitude limits, abandon coverage, or fail under degraded GNSS where decentralized coordination is essential." 2025-11-01T18:04:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_in_Urban_Canyon_-_Heavy_Lift_UAV_74149f18ca57_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_in_Urban_Canyon_-_Heavy_Lift_UAV,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"An octocopter faces 14.5 m/s winds, GNSS multipath, and a moving obstacle; which fusion strategy ensures reliable navigation?","This scenario involves a delivery mission using a heavy-lift octocopter equipped with GNSS, IMU, lidar, and RGB camera in an urban canyon environment. The flight occurs within a defined geofenced airspace with a minimum altitude of 10 meters AGL and a maximum of 120 meters AGL. Strong winds up to 14.5 m/s are present at higher altitudes, increasing with height and shifting direction, along with gusts and icing conditions. A static no-fly zone is centered near the flight path, and a dynamic no-fly zone moves through the area, requiring real-time avoidance. The UAV must navigate around a moving spherical obstacle and contend with GNSS multipath, moderate jamming, and electromagnetic interference. The mission includes four waypoints along a corridor pattern, starting from a fixed spawn point and ending at a preferred landing site near a runway threshold. A single traffic UAV crosses the path, and the DAA system must maintain separation of at least 25 meters with a time-to-closest approach threshold of 10 seconds. An icing fault event occurs mid-mission, reducing performance for one minute, while communication dropouts happen twice during the flight. The UAV must complete the mission within 600 seconds while managing battery reserves and avoiding all constraints.",Prioritize GNSS due to high geofence accuracy needs,Switch entirely to IMU during communication dropouts,Use lidar-only for obstacle detection in urban canyons,Fuse IMU with visual odometry when GNSS degrades,Rely on magnetic heading with strong wind alignment,Increase reliance on jammed GNSS near no-fly zones,Disable DAA to preserve battery during icing events,"[""Prioritize GNSS due to high geofence accuracy needs"", ""Switch entirely to IMU during communication dropouts"", ""Use lidar-only for obstacle detection in urban canyons"", ""Fuse IMU with visual odometry when GNSS degrades"", ""Rely on magnetic heading with strong wind alignment"", ""Increase reliance on jammed GNSS near no-fly zones"", ""Disable DAA to preserve battery during icing events""]","GNSS suffers multipath and jamming in urban canyons, requiring fallback to IMU-visual fusion for continuity. Visual odometry corrects IMU drift during GNSS outages while lidar complements obstacle mapping. This adaptive fusion maintains accuracy under wind-induced motion blur and RF interference." 2025-11-01T18:04:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_with_Heavy_Lift_UAV_in_Wind_Farm_under_Icing_Conditions_2cdffacad56d_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_with_Heavy_Lift_UAV_in_Wind_Farm_under_Icing_Conditions,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 300s, icing begins at 110m AGL with 12.0 m/s winds and a dynamic no-fly zone active. What is the priority?","Heavy lift UAV conducts an inspection mission in a wind farm airspace near a runway. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Mission involves following a corridor pattern between predefined waypoints at altitudes from 10 to 120 meters AGL. Wind conditions range from 8.5 m/s at ground level to 12.0 m/s at 100 meters, with gusts up to 4.0 m/s. Icing conditions are present, with a simulated icing event occurring at 300 seconds into the flight. A dynamic no-fly zone moves through the airspace, requiring real-time avoidance. GNSS multipath and electromagnetic interference degrade navigation accuracy. A second UAV enters the airspace on a crossing path, requiring detect-and-avoid compliance. The UAV must maintain separation of at least 25 meters and a time-to-closest approach greater than 15 seconds. Communication dropouts occur briefly at 120 and 450 seconds, challenging telemetry and control.",Continue mission; de-ice systems handle minor ice,Descend immediately to 10m AGL to escape icing,"Divert to nearest safe landing zone, avoiding no-fly zone","Climb to 150m AGL for smoother, warmer air",Request ATC override to pause no-fly zone,Eject payload to reduce weight if control degrades,Hold position until GNSS accuracy recovers,"[""Continue mission; de-ice systems handle minor ice"", ""Descend immediately to 10m AGL to escape icing"", ""Divert to nearest safe landing zone, avoiding no-fly zone"", ""Climb to 150m AGL for smoother, warmer air"", ""Request ATC override to pause no-fly zone"", ""Eject payload to reduce weight if control degrades"", ""Hold position until GNSS accuracy recovers""]",Icing at altitude with high winds and navigation degradation poses a critical control risk. The UAV must prioritize safe exit over mission continuation. Option C ensures avoidance of both environmental and airspace hazards while maintaining safety-of-life and lawful compliance. 2025-11-01T18:04:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_with_Heavy_Lift_in_Wind_Farm_under_Cold_Temperature_Extremes_5d6c65437987_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_with_Heavy_Lift_in_Wind_Farm_under_Cold_Temperature_Extremes,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,C,False,"Under GNSS jamming, 270°–285° wind shear, and mid-mission icing, which action ensures control integrity and NFZ compliance?","Mission involves a heavy-lift UAV conducting an inspection in a wind farm airspace. The UAV operates under challenging weather including strong westerly winds, gusts, and icing conditions. Wind speed increases with altitude, creating turbulence and directional shear from 270° to 285°. Thermal updrafts near turbines introduce additional aerodynamic disturbances. The UAV is equipped with lidar, radar, and visual sensors but lacks thermal imaging. GNSS signals suffer from multipath effects and moderate jamming, while electromagnetic interference is present. A static no-fly zone surrounds a turbine, and a moving obstacle and dynamic NFZ simulate incursion risks. The UAV must maintain separation from traffic and avoid breaching NFZs or losing communication. Battery performance is stressed by cold temperatures and high drag from the 10 kg payload. Icing events at mid-mission degrade aerodynamics, requiring robust DAA and flight control.",A- Increase GNSS update rate to counter jamming,B- Rely solely on visual sensors for positioning,C- Switch to INS-supported navigation with lidar terrain matching,游戏副本- Disable DAA to reduce processor load during icing,E- Use unencrypted telemetry for faster command response,F- Activate radar-only tracking to avoid multipath errors,G- Descend immediately to evade wind shear and turbulence,"[""A- Increase GNSS update rate to counter jamming"", ""B- Rely solely on visual sensors for positioning"", ""C- Switch to INS-supported navigation with lidar terrain matching"", ""游戏副本- Disable DAA to reduce processor load during icing"", ""E- Use unencrypted telemetry for faster command response"", ""F- Activate radar-only tracking to avoid multipath errors"", ""G- Descend immediately to evade wind shear and turbulence""]","C maintains control stability by fusing inertial navigation with lidar, preserving position accuracy despite GN游戏副本 jamming and sensor degradation. It ensures NFZ compliance through trusted, spoof-resistant localization without sacrificing communication security or increasing vulnerability to environmental faults." 2025-11-01T18:04:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_with_Swarm_Drone_in_Low_Visibility_7d56dd36eea3_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_with_Swarm_Drone_in_Low_Visibility,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 200s, icing reduces performance; drones must maintain 10m separation and avoid a central cylinder while continuing corridor pattern in fog.","This scenario involves a swarm drone inspection mission in suburban airspace near a runway. The UAV swarm operates under low visibility due to fog and icing conditions, with moderate to strong winds increasing with altitude. Each drone is equipped with a full sensor suite including GNSS, radar, LiDAR, RGB and thermal cameras, supporting navigation and detection in poor visibility. The mission requires flying a corridor pattern within a defined geofenced area, avoiding static and moving no-fly zones, including a dynamic NFZ and a central cylinder obstacle. The swarm consists of five drones with role specialization and a minimum separation of 10 meters between units. GNSS jamming and electromagnetic interference introduce navigation challenges, with a planned GNSS outage event at 400 seconds. An icing event at 200 seconds reduces drone performance, simulating environmental degradation. The UAVs must maintain separation from a traffic UAV entering the airspace and a moving spherical obstacle. Communication includes brief uplink/downlink loss windows, testing resilience in data transmission during critical phases.",Halt all motion until icing clears for safety,Reduce speed and increase separation to 15m,Continue original speed with reduced sensor use,Cluster behind leader for thermal shielding,Ascend to stronger GNSS signal above wind layer,Switch to LiDAR-only navigation individually,Maintain pattern with synchronized speed reduction and inter-drone spacing,"[""Halt all motion until icing clears for safety"", ""Reduce speed and increase separation to 15m"", ""Continue original speed with reduced sensor use"", ""Cluster behind leader for thermal shielding"", ""Ascend to stronger GNSS signal above wind layer"", ""Switch to LiDAR-only navigation individually"", ""Maintain pattern with synchronized speed reduction and inter-drone spacing""]","Maintaining the corridor pattern with synchronized speed reduction preserves swarm coverage and situational awareness while respecting 10m separation. It balances environmental degradation and mission continuity without overloading communication or creating conflicts. Other options either break formation, increase risk, or disrupt coordination during critical phases." 2025-11-01T18:04:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_with_Solar_Wing_UAV_in_Rural_Crosswind_88e0bc75a58f_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_with_Solar_Wing_UAV_in_Rural_Crosswind,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"A solar UAV must inspect between 30–300 m AGL for 600 s, avoid static/dynamic NFZs, and land with 1200 Wh under 8.5 m/s winds.","This UAV mission is an inspection flight in rural airspace with a designated runway for operations. The solar-powered fixed-wing UAV has a battery capacity of 1200 Wh and carries an RGB camera payload for visual data collection. Winds are from the west at 8.5 m/s with gusts up to 4.2 m/s, increasing in speed and shifting direction with altitude. The flight occurs between 30 and 300 meters AGL within a polygonal geofenced area. A static no-fly zone blocks the center of the domain, while a dynamic no-fly zone moves westward, requiring real-time avoidance. The mission includes a required runway approach, simulating a runway incursion scenario where detect-and-avoid (DAA) systems must maintain separation. A single intruder UAV approaches head-on along the runway, and a moving obstacle drifts across the flight path. Electromagnetic interference is present, and communication experiences brief dropouts, though GNSS multipath is not a concern. The UAV must complete its corridor-style waypoint mission within 600 seconds while avoiding collisions and maintaining safe separation.","Climb to 300 m, proceed east, bypass dynamic NFZ, then return downwind","Descend to 30 m, fly west below gusts, enter static NFZ to save time","Maintain 150 m, delay eastward leg until dynamic NFZ clears flight path","Increase speed to 22 m/s, cut through moving obstacle’s predicted gap","Divert to runway immediately, circle at 200 m awaiting intruder UAV pass","Fly direct at 100 m AGL, accept 5-second GNSS dropout near interference zone","Reduce speed to 15 m/s, extend loiter to conserve energy for headwind landing","[""Climb to 300 m, proceed east, bypass dynamic NFZ, then return downwind"", ""Descend to 30 m, fly west below gusts, enter static NFZ to save time"", ""Maintain 150 m, delay eastward leg until dynamic NFZ clears flight path"", ""Increase speed to 22 m/s, cut through moving obstacle’s predicted gap"", ""Divert to runway immediately, circle at 200 m awaiting intruder UAV pass"", ""Fly direct at 100 m AGL, accept 5-second GNSS dropout near interference zone"", ""Reduce speed to 15 m/s, extend loiter to conserve energy for headwind landing""]","Maintaining 150 m AGL keeps the UAV within safe altitude bounds and avoids both NFZs while managing energy. It delays action until the dynamic NFZ moves, ensuring compliance and separation. Other options violate NFZs, risk collision, or fail endurance under wind effects." 2025-11-01T18:04:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_with_VTOL_Tiltrotor_in_Low_Visibility_05200332e30d_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_with_VTOL_Tiltrotor_in_Low_Visibility,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During icing at 150m AGL with GNSS jamming, how should the UAV maintain corridor position and avoid the moving obstacle?","This is a runway incursion detect-and-avoid (DAA) mission using a VTOL tiltrotor UAV in a wind farm environment. The operation takes place near a runway with a required approach and departure path aligned to heading 90 degrees. Weather conditions include poor visibility, moderate crosswinds from the west, increasing wind shear with altitude, and icing conditions that temporarily affect UAV performance. The UAV is equipped with thermal camera, radar, lidar, and standard navigation sensors, but lacks RGB imaging. It operates within a 200-meter AGL ceiling, confined by a polygonal geofence and two no-fly zones—one static and one moving dynamically through the airspace. GNSS signals are degraded due to multipath effects and moderate jamming, while electromagnetic interference and intermittent comms loss add complexity. The UAV must maintain separation from a known traffic UAV and a moving spherical obstacle while executing a corridor inspection mission. The flight involves transitions between hover and forward flight, with strict battery reserve requirements and a time-constrained mission profile. Icing events reduce aerodynamic efficiency for one minute mid-mission, increasing stall risk. Safe landing options include a primary runway site and two emergency zones outside the main corridor.",Rely solely on encrypted GNSS with anti-jam antenna,Switch to lidar-aided INS with radar obstacle tracking,Increase telemetry rate to ground station for manual override,Descend to 100m AGL using unencrypted Wi-Fi positioning,Use open-loop hover with thermal-only obstacle detection,Transmit unauthenticated control commands via LOS radio,Follow predicted path using last known GPS before jamming,"[""Rely solely on encrypted GNSS with anti-jam antenna"", ""Switch to lidar-aided INS with radar obstacle tracking"", ""Increase telemetry rate to ground station for manual override"", ""Descend to 100m AGL using unencrypted Wi-Fi positioning"", ""Use open-loop hover with thermal-only obstacle detection"", ""Transmit unauthenticated control commands via LOS radio"", ""Follow predicted path using last known GPS before jamming""]","B maintains position via sensor fusion of trusted lidar and inertial navigation, preserving integrity during GNSS jamming. Radar enables real-time moving obstacle tracking despite poor visibility and EMI. This layered approach ensures control stability and cyber-physical resilience without reliance on compromised signals." 2025-11-01T18:04:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_DAA_with_VTOL_Tiltrotor_in_Wind_Farm_under_Strong_Crosswind_243fc6265767_mcq.json,uavbench-mcq-v1,Runway_Incursion_DAA_with_VTOL_Tiltrotor_in_Wind_Farm_under_Strong_Crosswind,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,A VTOL tiltrotor must land on a 90° runway after 600 s in 400 m visibility with crosswinds increasing aloft and GNSS degradation.,"This scenario involves a runway incursion detect-and-avoid (DAA) mission using a VTOL tiltrotor UAV in a wind farm environment. The flight occurs in controlled airspace with a defined geofence and both static and moving no-fly zones. Strong crosswinds are present, increasing to higher altitudes, with a wind direction shift from west to west-northwest. The UAV is equipped with a battery-powered propulsion system, RGB camera, LiDAR, and standard navigation sensors, but operates under GNSS multipath and electromagnetic interference conditions. A critical constraint is the requirement to use a runway for landing, aligned with a 400-meter threshold at heading 90 degrees. The mission includes inspection waypoints in a corridor pattern, with a time limit of 600 seconds and stringent separation thresholds for DAA. The UAV must avoid a dynamic obstacle moving through the airspace and contend with periodic communication loss. Battery endurance and energy management are crucial due to high power demands in windy conditions. The scenario tests robust navigation, obstacle avoidance, and mission completion under adverse environmental and operational constraints.",Climb early to 120 m for better comms and wind clearance,Descend to 30 m to reduce wind exposure and save energy,Maintain 60 m altitude for optimal LiDAR-camera fusion,Fly direct at 80 m to minimize time and drift,Orbit at 50 m until comms restore for safe approach alignment,Increase speed to 18 m/s to beat battery drain and wind,Follow glide path at 70 m with gradual descent to 40 m near runway,"[""Climb early to 120 m for better comms and wind clearance"", ""Descend to 30 m to reduce wind exposure and save energy"", ""Maintain 60 m altitude for optimal LiDAR-camera fusion"", ""Fly direct at 80 m to minimize time and drift"", ""Orbit at 50 m until comms restore for safe approach alignment"", ""Increase speed to 18 m/s to beat battery drain and wind"", ""Follow glide path at 70 m with gradual descent to 40 m near runway""]","G balances energy efficiency, wind resilience, and approach precision by using a stabilized descent that aligns with the 90° runway under GNSS uncertainty. It maintains separation from dynamic obstacles and leverages altitudes where crosswinds are manageable while preserving battery for final maneuvering. Other options either risk instability, exceed power limits, delay critically, or compromise navigation integrity." 2025-11-01T18:04:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Incursion_with_DAA_in_Arctic_Microburst_bf57e8b9c3b5_mcq.json,uavbench-mcq-v1,Runway_Incursion_with_DAA_in_Arctic_Microburst,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"At 310° wind with 8.5 m/s and 4.2 m/s gusts, which action ensures 25 m DAA separation from traffic UAV at 8 s TTC?","This is an inspection mission in arctic airspace near a runway with microburst risk. The UAV is a quadrotor equipped with radar, RGB camera, and standard navigation sensors. It operates within a 10–120 m AGL altitude band and must avoid a cylindrical no-fly zone near the center. Strong winds at 8.5 m/s with gusts up to 4.2 m/s come from 310 degrees, increasing flight challenges. A traffic UAV enters the area from beyond the runway threshold, requiring DAA compliance with 25 m separation and 8 s TTC thresholds. The mission follows a corridor pattern through four waypoints under a 600-second time budget. GNSS multipath may occur near structures, and brief comms losses are expected at specific times. The UAV must avoid moving obstacles and maintain geofence boundaries while managing battery reserves. Runway incursion risks are present due to intersecting traffic paths and environmental stresses.",Climb to 120 m AGL to avoid microburst layer,Hold position at Waypoint 2 for 10 seconds,Decelerate and adjust lateral offset by 30 m,Turn 45° right and ascend at 3 m/s rate,Proceed to next waypoint at maximum speed,Descend to 10 m AGL to reduce wind exposure,Broadcast intent to hold via datalink to traffic UAV,"[""Climb to 120 m AGL to avoid microburst layer"", ""Hold position at Waypoint 2 for 10 seconds"", ""Decelerate and adjust lateral offset by 30 m"", ""Turn 45° right and ascend at 3 m/s rate"", ""Proceed to next waypoint at maximum speed"", ""Descend to 10 m AGL to reduce wind exposure"", ""Broadcast intent to hold via datalink to traffic UAV""]",Decelerating and applying a 30 m lateral offset proactively increases separation while respecting 8 s TTC and wind-relative groundspeed. It avoids aggressive maneuvers that could breach geofence or battery limits. Other options either reduce safety margins or fail to coordinate trajectory prediction with the intruder. 2025-11-01T18:04:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Touch_and_Go_-_Suburban_Helicopter_4e36ddcdd81f_mcq.json,uavbench-mcq-v1,Runway_Touch_and_Go_-_Suburban_Helicopter,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Which route avoids the NFZ, maintains 25 m separation from a moving obstacle at 5 m/s, and completes the 3-waypoint corridor under 600 s?","This is a runway touch-and-go mission for a fuel-powered helicopter operating in suburban airspace. The UAV has a single rotor and is equipped with radar, RGB camera, GNSS, IMU, magnetometer, and barometer. It carries a 100 kg payload and must avoid a cylindrical no-fly zone near the runway area. The flight occurs under good visibility but with a lightning risk and moderate crosswinds from the west at 8 m/s with gusts up to 4 m/s. The mission requires flying a corridor pattern with three waypoints, including a low pass over the runway threshold at 15 m AGL. The operational altitude ranges between 5 m and 120 m AGL within a defined polygonal airspace boundary. A moving spherical obstacle travels westward at 5 m/s, and there is another UAV in the airspace on a conflicting path. The system enforces a minimum separation of 25 m and 20 s time-to-closest-approach for collision avoidance. The helicopter starts with full fuel and must complete the mission within 600 seconds while maintaining communication link quality above -85 dBm.",Direct path through NFZ center at 15 m AGL,"Fly west of NFZ at 40 m AGL, delay WPT2 by 45 s","Descend to 5 m AGL, pass north of NFZ and obstacle","Climb to 120 m AGL, arc east around NFZ and obstacle","Follow corridor at 15 m AGL, adjust heading to avoid obstacle","Hold at WPT1 for 60 s, then proceed at 80 m AGL","Reduce speed to 10 m/s, fly south of NFZ below 10 m AGL","[""Direct path through NFZ center at 15 m AGL"", ""Fly west of NFZ at 40 m AGL, delay WPT2 by 45 s"", ""Descend to 5 m AGL, pass north of NFZ and obstacle"", ""Climb to 120 m AGL, arc east around NFZ and obstacle"", ""Follow corridor at 15 m AGL, adjust heading to avoid obstacle"", ""Hold at WPT1 for 60 s, then proceed at 80 m AGL"", ""Reduce speed to 10 m/s, fly south of NFZ below 10 m AGL""]","Option E maintains the required 15 m AGL for the runway pass, laterally avoids the cylindrical NFZ and moving obstacle while staying within the 120 m AGL limit. It adapts heading in real time using GNSS and radar data, preserving time-to-go and communication link, while minimizing energy use and avoiding separation violations." 2025-11-01T18:04:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Touch_and_Go_in_Hail_-_Harbor_Airspace_f37947dc3931_mcq.json,uavbench-mcq-v1,Runway_Touch_and_Go_in_Hail_-_Harbor_Airspace,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,E,False,"At 300s, GNSS dropout and 8 m/s westerly winds occur. Visibility is poor due to hail. How should navigation adapt?","Heavy lift UAV conducts a runway touch-and-go mission in harbor airspace with poor visibility and hail. The UAV operates within a defined corridor from 10 to 120 meters AGL, avoiding a central cylindrical no-fly zone. Strong westerly winds at 8 m/s with gusts up to 4 m/s challenge flight stability. Equipped with GNSS, IMU, camera, and other standard sensors, the UAV carries a 10 kg payload. A moving spherical obstacle drifts eastward at 2 m/s near the flight path. Another UAV enters the airspace from the south, requiring separation monitoring. An icing event occurs mid-mission, reducing performance for one minute. Brief communication dropouts are expected at 300 and 500 seconds into the flight. The mission must be completed within 600 seconds while maintaining safe separation of at least 25 meters. Battery reserve is set to 30%, and GNSS multipath effects may affect navigation near structures.",Rely solely on GNSS; signal recovers in 20s,Switch to camera-only navigation using horizon detection,Increase reliance on IMU and barometer fusion,Descend to 10m AGL to reduce wind impact,Use IMU-visual fusion with motion compensation,Hold position using rotor wash feedback,Navigate by magnetic heading and GPS extrapolation,"[""Rely solely on GNSS; signal recovers in 20s"", ""Switch to camera-only navigation using horizon detection"", ""Increase reliance on IMU and barometer fusion"", ""Descend to 10m AGL to reduce wind impact"", ""Use IMU-visual fusion with motion compensation"", ""Hold position using rotor wash feedback"", ""Navigate by magnetic heading and GPS extrapolation""]","IMU-visual fusion compensates for GNSS dropout and GNSS multipath near structures, while visual odometry corrects IMU drift. Camera data, though challenged by hail, can leverage motion compensation to maintain relative positioning. This fusion strategy preserves navigation integrity under poor visibility and wind disturbances." 2025-11-01T18:04:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Touch_and_Go_in_Rural_Clear_Weather_73b7705f47cf_mcq.json,uavbench-mcq-v1,Runway_Touch_and_Go_in_Rural_Clear_Weather,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,A fixed-wing UAV performs touch-and-go passes at 30–120 m AGL with 6 m/s winds; how should it handle GNSS integrity during approach near a no-fly zone?,"Fixed-wing UAV performs a runway touch-and-go mission in rural airspace. The flight occurs in clear weather with good visibility, 6 m/s winds from the west, and minor gusts. The UAV is equipped with GNSS, IMU, camera, and other standard sensors, powered by a battery. It must stay within a defined corridor between 30 and 120 meters AGL, avoiding a cylindrical no-fly zone near the runway. The mission follows a straight-line pattern along a 400-meter runway aligned westward. A single other UAV is present, flying perpendicular to the mission path at 15 m/s. Separation assurance is required with a 25-meter threshold and 20-second time-to-closest approach limit. GNSS signals may experience multipath effects near structures, though none are present in this rural setting. The UAV must maintain communication with minimal signal loss and complete multiple passes without landing. Battery endurance and geofence compliance are key constraints for successful mission completion.",Rely solely on GNSS for precision approach guidance,Switch to IMU-camera fusion if GNSS signal variance exceeds threshold,Disable geofence monitoring to reduce processor load,Use unencrypted telemetry for faster ground station updates,Accept all GNSS fixes regardless of signal-to-noise ratio,Override actuator commands via open wireless control link,Transmit full video feed continuously to ensure situational awareness,"[""Rely solely on GNSS for precision approach guidance"", ""Switch to IMU-camera fusion if GNSS signal variance exceeds threshold"", ""Disable geofence monitoring to reduce processor load"", ""Use unencrypted telemetry for faster ground station updates"", ""Accept all GNSS fixes regardless of signal-to-noise ratio"", ""Override actuator commands via open wireless control link"", ""Transmit full video feed continuously to ensure situational awareness""]","B ensures control stability and security by fusing IMU and camera data when GNSS becomes unreliable, maintaining navigation integrity without exposing the system to spoofing. It enables geofence compliance and mission continuity under potential GNSS anomalies, while other choices introduce cyber-physical risks like unverified inputs or communication vulnerabilities." 2025-11-01T18:04:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Touch_and_Go_in_Snowfall_at_Bridge_Site_96ae326007b8_mcq.json,uavbench-mcq-v1,Runway_Touch_and_Go_in_Snowfall_at_Bridge_Site,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 190s, UAV is at 250m AGL, 7.5m/s wind from 240°, GNSS -85dBm. Icing starts at 200s. Execute touch-and-go at (100,100,15).","This UAV mission is a runway touch-and-go operation conducted at a bridge site with defined airspace boundaries. The solar-powered fixed-wing UAV features a battery-electric propulsion system and carries an RGB camera payload for visual data collection. Operations occur under poor visibility due to active snowfall, with winds at 7.5 m/s from 240° increasing with altitude and gusts up to 4.0 m/s. A no-fly zone is present as a static cylinder near the center of the site and another dynamic no-fly zone moves through the airspace. The UAV must avoid a moving spherical obstacle and maintain separation from other air traffic, including an oncoming UAV. GNSS signals are degraded due to multipath effects and moderate jamming at -85 dBm, compounded by electromagnetic interference. The flight profile includes low-altitude operations between 10 and 300 meters AGL, requiring precise navigation near the runway threshold at (100, 100, 15). An icing event fault is introduced at 200 seconds, reducing aerodynamic performance for one minute. Communication dropouts occur briefly at 150 and 400 seconds, testing data link resilience during critical phases.","Descend to 100m AGL, hold 30s, then approach runway from east","Maintain 250m AGL, turn north to avoid static NFZ, then descend","Climb to 300m AGL for better GNSS, then circle west of dynamic NFZ","Begin descent now, follow 5° glide path directly to runway threshold",Delay descent until 210s to assess icing impact on lift,"Divert to alternate site 5km west, remain above 200m AGL","Accelerate to 22m/s, descend rapidly to 15m AGL before 200s","[""Descend to 100m AGL, hold 30s, then approach runway from east"", ""Maintain 250m AGL, turn north to avoid static NFZ, then descend"", ""Climb to 300m AGL for better GNSS, then circle west of dynamic NFZ"", ""Begin descent now, follow 5° glide path directly to runway threshold"", ""Delay descent until 210s to assess icing impact on lift"", ""Divert to alternate site 5km west, remain above 200m AGL"", ""Accelerate to 22m/s, descend rapidly to 15m AGL before 200s""]","Immediate descent ensures timely arrival at runway threshold while minimizing exposure to worsening icing and GNSS degradation at higher altitudes. Option D maintains operational altitude within 10–300m AGL, avoids delay-induced drift into dynamic NFZ, and reduces risk compared to high-speed or delayed maneuvers." 2025-11-01T18:04:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Touch_and_Go_in_Suburban_Area_with_Lightning_Risk_cf1002d5bf45_mcq.json,uavbench-mcq-v1,Runway_Touch_and_Go_in_Suburban_Area_with_Lightning_Risk,minimax/minimax-m1,9,Comparative System Reasoning,7,?,F,False,"Which system ensures safe touch-and-go at 260° with GNSS jamming at 240s, 7 m/s winds, and a collision risk?","This is a runway touch-and-go mission in a suburban airspace with a lightning risk. The UAV is an amphibious rotorcraft with fixed-wing features, equipped with GNSS, IMU, camera, and LiDAR. It operates within a defined geofence with static and moving no-fly zones, including a dynamic obstacle. Weather includes moderate winds at 7 m/s from 240°, increasing with altitude, and thermal updrafts near the area. GNSS multipath and electromagnetic interference are present, with a planned GNSS jamming fault at 240 seconds. The flight must adhere to altitude limits between 5 and 120 meters AGL and maintain separation from traffic. A single intruder UAV crosses the airspace on a collision course if unmitigated. The mission requires use of a designated runway aligned at 260° for touch-and-go maneuvers. Communication dropouts occur briefly at 120 and 450 seconds, testing link resilience. Battery capacity is limited, requiring efficient routing to complete the 10-minute mission within energy reserves.",Uses GNSS-only navigation with no backup,Relies on camera-only for landing alignment,Switches to IMU+LiDAR during GNSS jamming,Follows magnetic heading without wind correction,Flies fixed route ignoring dynamic obstacle,Uses predictive path planning with sensor fusion,Depends on continuous comms for control,"[""Uses GNSS-only navigation with no backup"", ""Relies on camera-only for landing alignment"", ""Switches to IMU+LiDAR during GNSS jamming"", ""Follows magnetic heading without wind correction"", ""Flies fixed route ignoring dynamic obstacle"", ""Uses predictive path planning with sensor fusion"", ""Depends on continuous comms for control""]","F integrates sensor fusion, wind-adaptive routing, and collision avoidance, ensuring resilience to GNSS jamming and traffic. Others fail in fault tolerance, situational awareness, or energy efficiency. Only F balances safety, adaptability, and mission completion within battery limits." 2025-11-01T18:04:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Touch_and_Go_in_Volcanic_Dust_Zone_ebe3dcc1c810_mcq.json,uavbench-mcq-v1,Runway_Touch_and_Go_in_Volcanic_Dust_Zone,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV system best handles 16 m/s winds, 600 s mission, and 30% battery reserve in volcanic dust?","This UAV mission involves a convertiplane performing a runway touch-and-go in a volcanic dust zone with poor visibility and active turbulence. The operation takes place in a defined rectangular airspace with a maximum altitude of 450 meters AGL, featuring a designated runway aligned eastbound. Weather conditions include strong winds up to 16 m/s at higher altitudes, gusts, and a dust-laden atmosphere that contributes to sensor challenges. The UAV is equipped with a battery-powered propulsion system, RGB camera, LiDAR, and standard navigation sensors, but faces GNSS multipath, moderate jamming, and electromagnetic interference. A static no-fly zone blocks the central lower area, while a dynamic no-fly zone moves diagonally through the airspace, requiring real-time avoidance. A moving spherical obstacle travels westward at mid-altitude, and conflicting traffic approaches from the east at 150 meters. The mission must be completed within 600 seconds, following a custom waypoint path that includes approach, touch-and-go, and departure segments. Battery reserve is set to 30%, and energy consumption is closely monitored due to high hover demand and drag. Communication dropouts are expected twice during the flight, each lasting 15 seconds, impacting command reliability. Success depends on maintaining separation, avoiding stalls, and completing the touch-and-go without geofence or NFZ violations.",Fixed-wing with long range but poor hover efficiency,Quadcopter with high hover stability but limited speed,Tilt-rotor with balanced hover and forward flight performance,"Glider relying on thermals, no propulsion redundancy",Hybrid airship with low power use but high wind vulnerability,Ducted fan with compact size but high energy burn,Ornithopter with low noise but unproven dust tolerance,"[""Fixed-wing with long range but poor hover efficiency"", ""Quadcopter with high hover stability but limited speed"", ""Tilt-rotor with balanced hover and forward flight performance"", ""Glider relying on thermals, no propulsion redundancy"", ""Hybrid airship with low power use but high wind vulnerability"", ""Ducted fan with compact size but high energy burn"", ""Ornithopter with low noise but unproven dust tolerance""]","The tilt-rotor efficiently transitions between hover and forward flight, critical for touch-and-go in high-wind, dust-challenged conditions. It balances energy use, speed, and control, unlike less adaptable or more fragile configurations. Only this design meets the 600-second timeline with 30% reserve under turbulence and sensor stress." 2025-11-01T18:04:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Touch_and_Go_in_Volcanic_Zone_with_Microburst_Risk_c25aaf727b6d_mcq.json,uavbench-mcq-v1,Runway_Touch_and_Go_in_Volcanic_Zone_with_Microburst_Risk,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During 120–130s comms dropout with 8.5 m/s winds and GNSS multipath, how should the UAV maintain secure, stable flight?","This mission involves a quadrotor UAV performing a runway touch-and-go maneuver in a volcanic zone with restricted airspace. The flight occurs within a defined rectangular geofence, featuring a no-fly cylinder near the center. The UAV is equipped with RGB camera payload and standard sensors including GNSS, IMU, and barometer. Weather conditions include strong 8.5 m/s winds from 240 degrees, gusts up to 4.2 m/s, poor visibility, and a risk of microbursts. The UAV must follow a corridor pattern along a 200-meter runway aligned at 270 degrees. A second UAV and a moving spherical obstacle create dynamic collision hazards. GNSS multipath effects may occur near volcanic terrain, and strict separation standards of 25 meters are enforced. The UAV has a battery reserve requirement of 30% and limited energy capacity, affecting endurance. Communication dropouts are expected between 120–130s and 400–415s into the mission. The flight must complete within 600 seconds while avoiding geofence and altitude violations.",Switch to encrypted bidirectional telemetry with authenticated waypoints,Use raw GNSS without integrity checking to follow planned trajectory,Rely solely on barometer for altitude during communication outage,Execute open-loop commands pre-verified with digital signatures,Increase control frequency to 200 Hz using unencrypted sensor data,Activate RGB camera to replace lost GNSS position updates,Hover using IMU-only integration until comms restore,"[""Switch to encrypted bidirectional telemetry with authenticated waypoints"", ""Use raw GNSS without integrity checking to follow planned trajectory"", ""Rely solely on barometer for altitude during communication outage"", ""Execute open-loop commands pre-verified with digital signatures"", ""Increase control frequency to 200 Hz using unencrypted sensor data"", ""Activate RGB camera to replace lost GNSS position updates"", ""Hover using IMU-only integration until comms restore""]","A ensures secure, authenticated communication and resilient navigation by combining encryption with verified telemetry. It maintains control stability during dropout and mitigates spoofing risks in GNSS-denied volcanic terrain. Other options fail to ensure data integrity, enable spoofing, or drift due to sensor limitations." 2025-11-01T18:04:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Touch_and_Go_in_Wind_Farm_with_Low_Visibility_8b952b4f595e_mcq.json,uavbench-mcq-v1,Runway_Touch_and_Go_in_Wind_Farm_with_Low_Visibility,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 320s, icing occurs at 45m AGL with 60s to enter dynamic no-fly zone moving at 3m/s—what action prioritizes safety and mission constraints?","This scenario involves a runway touch-and-go mission within a wind farm environment. The UAV operates under poor visibility and icing conditions with moderate wind at 8.5 m/s from 240°, increasing with altitude. A hexacopter equipped with GNSS, IMU, lidar, RGB camera, and barometer conducts the mission with a 0.5 kg payload. Flight occurs between 10 and 120 meters AGL within a defined polygonal airspace. A static no-fly zone surrounds a central turbine, while a dynamic no-fly zone moves near the approach path. The UAV must avoid moving obstacles and maintain separation from other traffic. GNSS signals are degraded due to multipath and interference, with brief comms downlink losses. Battery reserves are critical due to wind and potential icing reducing efficiency. The mission must be completed within 600 seconds while managing fault events like an icing event at 320 seconds.","Continue approach, relying on de-icing systems",Climb to 120m to avoid turbine and icing layer,Descend to 10m AGL to reduce wind exposure,Abort mission and return to base immediately,Deviate into adjacent airspace without clearance,Hover at current altitude to assess conditions,Eject payload to reduce weight and climb,"[""Continue approach, relying on de-icing systems"", ""Climb to 120m to avoid turbine and icing layer"", ""Descend to 10m AGL to reduce wind exposure"", ""Abort mission and return to base immediately"", ""Deviate into adjacent airspace without clearance"", ""Hover at current altitude to assess conditions"", ""Eject payload to reduce weight and climb""]","Icing at 320s with degraded GNSS and critical battery reserves creates high risk of loss of control. Continuing or climbing increases collision and system failure likelihood near turbines and dynamic obstacles. Aborting ensures safety of people and property, complies with lawful airspace rules, and prioritizes fault mitigation over mission completion." 2025-11-01T18:04:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Touch_and_Go_with_Gusts_602b664f6384_mcq.json,uavbench-mcq-v1,Runway_Touch_and_Go_with_Gusts,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,"Which UAV configuration best balances obstacle avoidance, flight stability at 8.5 m/s winds, and 600-second mission duration with a hexacopter?","This is a runway touch-and-go mission conducted near an airport perimeter within a defined rectangular airspace. The UAV is a hexacopter equipped with a battery-powered electric propulsion system and carries an RGB camera as payload. It operates under moderate wind conditions of 8.5 m/s from 240 degrees with gusts up to 4.2 m/s, requiring stable flight control. The flight altitude is restricted between 10 and 120 meters AGL, with a cylindrical no-fly zone centered at (400, 300) with a 50-meter radius. A designated runway runs east-west, 400 meters long, starting at (50, 300), used for simulated touch-and-go maneuvers. The UAV begins the mission at (100, 300, 20) meters, aligned with the runway heading of 90 degrees. Traffic includes another UAV entering from the south, moving north at 12 m/s, necessitating separation monitoring. A moving spherical obstacle drifts southwest at 2 m/s, adding dynamic collision risk. GNSS, IMU, magnetometer, barometer, and camera sensors support navigation, though multipath effects near structures are a concern. The mission must be completed within 600 seconds while maintaining safe separation, battery reserve, and adherence to airspace boundaries.",Dual battery system with 25% reserve capacity,Fixed-pitch propellers for reduced mechanical complexity,Lightweight camera with 1080p resolution only,Reduced control loop frequency to save power,Single IMU with no sensor fusion algorithm,Passive obstacle avoidance using pre-mapped zones,Active vision-based avoidance with redundant IMU and GNSS,"[""Dual battery system with 25% reserve capacity"", ""Fixed-pitch propellers for reduced mechanical complexity"", ""Lightweight camera with 1080p resolution only"", ""Reduced control loop frequency to save power"", ""Single IMU with no sensor fusion algorithm"", ""Passive obstacle avoidance using pre-mapped zones"", ""Active vision-based avoidance with redundant IMU and GNSS""]","Option G ensures dynamic obstacle tracking for the moving sphere and intruder UAV while maintaining stability through sensor fusion. Redundant IMU and GNSS counter multipath and wind disturbances. Other options compromise safety, adaptability, or situational awareness under mission constraints." 2025-11-01T18:04:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Touch_and_Go_with_Quadrotor_fff13dd7c29f_mcq.json,uavbench-mcq-v1,Runway_Touch_and_Go_with_Quadrotor,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"At 110 m AGL, 5 m/s crosswind, and 450 s elapsed, which maneuver ensures NFZ avoidance, separation, and battery reserve?","This is a runway touch-and-go mission conducted near an airport perimeter using a quadrotor UAV. The UAV is equipped with a battery-powered propulsion system and carries an RGB camera as payload. It operates within a defined airspace bounded by a polygonal geofence, with a maximum altitude of 120 meters AGL. A cylindrical no-fly zone is present near the runway area, requiring careful navigation to avoid violations. Weather conditions include a 5 m/s wind from 90 degrees with moderate gusts, but visibility is good. The UAV must follow a predefined waypoint corridor aligned with the runway heading of 90 degrees. A second UAV and a moving spherical obstacle introduce dynamic traffic and collision risks. Separation assurance is enforced with a minimum distance threshold of 25 meters and time-to-closest-approach of 10 seconds. GNSS, IMU, barometer, and magnetometer support navigation, though potential multipath effects near the runway may affect positioning accuracy. The mission must be completed within 600 seconds while maintaining battery reserves and avoiding collisions or NFZ breaches.","Descend to 60 m, reduce speed to 8 m/s","Maintain altitude, accelerate to 15 m/s","Climb to 120 m, hold current speed","Turn 30° left, descend to 50 m rapidly","Hover for 20 s, then resume course","Follow corridor at 10 m/s, 100 m AGL","Bank sharply right, exit geofence","[""Descend to 60 m, reduce speed to 8 m/s"", ""Maintain altitude, accelerate to 15 m/s"", ""Climb to 120 m, hold current speed"", ""Turn 30° left, descend to 50 m rapidly"", ""Hover for 20 s, then resume course"", ""Follow corridor at 10 m/s, 100 m AGL"", ""Bank sharply right, exit geofence""]","Flying at 100 m AGL within the corridor balances safety margin from NFZ and ground effect, while 10 m/s conserves energy and maintains separation under wind gusts. It ensures navigation accuracy despite potential GNSS multipath near runway, and sustains battery life for mission completion within 600 s." 2025-11-01T18:04:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Runway_Touch_and_Go_with_Helicopter_in_Strong_Crosswind_cb2534f74975_mcq.json,uavbench-mcq-v1,Runway_Touch_and_Go_with_Helicopter_in_Strong_Crosswind,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"At 125 s, with 12 m/s crosswind and GNSS jamming at -85 dBm, how should the helicopter adjust for optimal tracking and safety?","This scenario involves a helicopter conducting a runway touch-and-go mission near an airport perimeter. The UAV operates in controlled airspace with a defined geofenced corridor and a cylindrical no-fly zone near the runway area. Strong crosswinds are present at ground level (12 m/s from 270°), increasing to 18 m/s at 100 m altitude with a slight directional shift. The helicopter is equipped with radar, RGB camera, and standard navigation sensors but lacks LiDAR and thermal imaging. GNSS signals are degraded due to multipath effects and moderate jamming at -85 dBm, compounded by electromagnetic interference. The mission follows a fixed waypoint corridor aligned with the runway, requiring precise low-altitude maneuvering under a 300 m AGL ceiling. A second UAV and a moving spherical obstacle create dynamic traffic challenges, with DAA requiring 50 m separation and 20 s time-to-closest-approach thresholds. Communication links experience brief uplink/downlink outages between 120–135 s and 400–410 s. The helicopter must manage fuel efficiently while avoiding stalls, geofence breaches, and collisions throughout the 600-second mission.",Increase speed to 35 m/s to reduce wind drift and maintain schedule,Descend to 50 m AGL to minimize crosswind strength and conserve fuel,"Hold 100 m AGL, align thrust vector into wind for lateral stability",Climb to 280 m AGL to escape multipath and improve GNSS signal,"Reduce speed to 20 m/s, use radar for DAA and attitude stabilization",Hover for 15 s to reacquire GNSS lock before resuming waypoint path,Bank 30° into crosswind while increasing rotor RPM for lateral correction,"[""Increase speed to 35 m/s to reduce wind drift and maintain schedule"", ""Descend to 50 m AGL to minimize crosswind strength and conserve fuel"", ""Hold 100 m AGL, align thrust vector into wind for lateral stability"", ""Climb to 280 m AGL to escape multipath and improve GNSS signal"", ""Reduce speed to 20 m/s, use radar for DAA and attitude stabilization"", ""Hover for 15 s to reacquire GNSS lock before resuming waypoint path"", ""Bank 30° into crosswind while increasing rotor RPM for lateral correction""]","Reducing speed improves control authority in strong, gusty winds and reduces collision risk during communication outages. Using radar compensates for degraded GNSS and maintains DAA compliance with the second UAV and spherical obstacle. This balances energy use, navigation accuracy, and safety under sensor and environmental constraints." 2025-11-01T18:04:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Sandstorm_Recon_Along_Powerline_Corridor_27f5ed2e89bc_mcq.json,uavbench-mcq-v1,Sandstorm_Recon_Along_Powerline_Corridor,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 8.5 m/s wind from 240°, gusts +4.2 m/s, what minimizes power during VTOL transition at 10 m AGL?","This is an inspection mission using an amphibious fixed-wing VTOL UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The flight occurs within a defined powerline corridor in a remote desert environment. Severe sandstorm conditions reduce visibility and increase environmental risk. Wind blows at 8.5 m/s from 240 degrees with gusts up to 4.2 m/s, challenging stability and power consumption. The UAV must navigate between 10 and 120 meters AGL while avoiding a cylindrical no-fly zone near the corridor center. A moving spherical obstacle drifts westward at 2 m/s, requiring real-time avoidance. The mission requires use of a designated runway for landing, with transition phases between hover and forward flight. Traffic includes one opposing UAV entering from the south boundary. GNSS multipath effects may occur near powerline structures, impacting positioning accuracy. The UAV must complete its waypoint route within 600 seconds while maintaining safe separation and sufficient battery reserves.",Pitch up rapidly to 15° AoA,Maintain 8° AoA with steady thrust,Delay wing lift engagement,Increase rotor RPM abruptly,Reduce airspeed to 5 m/s,Bank 20° into wind,Hover at 120 m AGL first,"[""Pitch up rapidly to 15° AoA"", ""Maintain 8° AoA with steady thrust"", ""Delay wing lift engagement"", ""Increase rotor RPM abruptly"", ""Reduce airspeed to 5 m/s"", ""Bank 20° into wind"", ""Hover at 120 m AGL first""]","Maintaining optimal angle of attack ensures efficient lift-to-drag ratio while balancing wind vector effects. Rapid pitch or rotor changes increase induced drag and power draw. At low altitude and high wind, steady transition minimizes gust-induced instability and conserves battery." 2025-11-01T18:04:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_Bridge_Site_103b783167fa_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_Bridge_Site,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,F,False,"Heavy-lift UAV with 8 kg payload must complete bridge inspection in 600 s, avoid obstacles, and maintain 30% reserve in moderate winds.","Heavy-lift UAV conducts bridge inspection in a confined urban airspace with good visibility and moderate winds from the south. The mission follows a corridor pattern across four waypoints at varying altitudes between 50–80 meters AGL. A cylindrical no-fly zone centered at (100,150) restricts access below 80 meters within a 30-meter radius. The UAV is equipped with GNSS, IMU, lidar, and RGB camera for navigation and data collection. Operating on battery power, it carries an 8 kg payload and must maintain 30% reserve energy. Wind gusts up to 3 m/s and potential GNSS multipath near structures pose navigation challenges. Air traffic includes a crossing UAV approaching from the north, moving westbound at 12 m/s. A moving spherical obstacle descends from the north boundary into the operational area at 8 m/s. Minimum separation is set at 25 meters with a time-to-close threshold of 15 seconds for collision avoidance. The UAV must complete the mission within 600 seconds while avoiding geofence and separation breaches.","Ascend to 90 m, bypass all zones with lidar-only navigation","Fly direct path at 75 m, ignoring wind adjustments","Descend below 50 m to reduce wind impact, use GPS only","Follow corridor at 80 m, disable camera to save power","Reroute east to avoid descending obstacle, extend mission time","Adjust altitude to 82 m, use GNSS/IMU fusion near structures","Hover at waypoints, increase sensor sampling rate","[""Ascend to 90 m, bypass all zones with lidar-only navigation"", ""Fly direct path at 75 m, ignoring wind adjustments"", ""Descend below 50 m to reduce wind impact, use GPS only"", ""Follow corridor at 80 m, disable camera to save power"", ""Reroute east to avoid descending obstacle, extend mission time"", ""Adjust altitude to 82 m, use GNSS/IMU fusion near structures"", ""Hover at waypoints, increase sensor sampling rate""]","F balances energy use and safety by staying above the no-fly zone while using sensor fusion to mitigate GNSS multipath. It maintains optimal altitude to avoid wind gusts and preserves battery via efficient navigation, ensuring 30% reserve and mission completion within 600 seconds." 2025-11-01T18:04:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SatelliteLinkRelay_Harbor_Hail_HeavyLift_5c6f790248f5_mcq.json,uavbench-mcq-v1,SatelliteLinkRelay_Harbor_Hail_HeavyLift,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"At 120s, lost link occurs; UAV must relay via 5 waypoints in 10–120m AGL with hail, wind, and 25m swarm separation.","Heavy-lift UAV mission to relay satellite link in a harbor environment. Operating in a constrained airspace with a 10–120 m AGL altitude range. Weather includes hail and poor visibility with strong winds from the southwest. Equipped with radar, RGB camera, and GNSS/IMU for navigation in adverse conditions. Mission involves a custom waypoint relay pattern across five points. Faces static and moving no-fly zones including a drifting dynamic exclusion zone. A second UAV and a moving spherical obstacle introduce traffic collision risks. Swarm of three UAVs requires 25 m minimum separation between units. Experiences a 10-second lost link fault mid-mission at 120 seconds. Battery reserves and GNSS multipath near harbor structures are key operational constraints.","Climb to 120m, activate radar full-power, proceed to next waypoint","Descend to 10m, disable RGB, hover 10s, then retrace last leg","Maintain altitude, reduce radar power, and shorten path between waypoints","Ascend rapidly, broadcast high-bandwidth video, and circle for link recovery","Enter failsafe mode, land immediately at nearest safe zone","Increase speed to exit dynamic zone quickly, using full GNSS refresh","Switch to IMU-only, shut down comms, fly straight to final waypoint","[""Climb to 120m, activate radar full-power, proceed to next waypoint"", ""Descend to 10m, disable RGB, hover 10s, then retrace last leg"", ""Maintain altitude, reduce radar power, and shorten path between waypoints"", ""Ascend rapidly, broadcast high-bandwidth video, and circle for link recovery"", ""Enter failsafe mode, land immediately at nearest safe zone"", ""Increase speed to exit dynamic zone quickly, using full GNSS refresh"", ""Switch to IMU-only, shut down comms, fly straight to final waypoint""]","Maintaining altitude avoids energy spikes from climbing or descending. Reducing radar power conserves battery during link loss while shortening the path improves time and energy efficiency. This balances mission continuity, collision risk, and power constraints without violating separation or altitude limits." 2025-11-01T18:04:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_Glider_WindFarm_Hail_d81d6eac5496_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_Glider_WindFarm_Hail,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"Glider UAV at 10–150m AGL, strong winds, hail, GNSS errors, thermal updrafts with icing; battery-limited endurance. Optimize for relay mission success?","A glider UAV conducts a satellite link relay mission within a wind farm airspace. The flight occurs between 10 and 150 meters AGL, confined by a polygonal geofence and two no-fly zones, one static and one moving. Weather conditions include strong winds increasing with altitude, poor visibility, and active hail. The UAV relies on battery power and carries an RGB camera payload for visual data relay. GNSS signals suffer from multipath errors and moderate jamming, while electromagnetic interference affects sensor reliability. The mission requires navigating around turbine obstacles and a drifting spherical hazard while maintaining separation from other air traffic. Thermal updrafts are present but may be disrupted by icing conditions that occur mid-mission. Communication experiences brief downlink outages, challenging command reliability. Flight endurance is limited by battery reserve constraints and aerodynamic performance in turbulent, gusty winds.",Climb to 150m for stronger satellite link despite higher wind drag,Descend to 10m AGL to avoid gusts and conserve battery,Use full RGB camera stream continuously for real-time relay,"Shutdown camera, glide passively to extend endurance",Alternate climb/descent to harvest thermals while avoiding icing layers,Increase communication retries during downlink outages,Fly direct path through moving no-fly zone to save time,"[""Climb to 150m for stronger satellite link despite higher wind drag"", ""Descend to 10m AGL to avoid gusts and conserve battery"", ""Use full RGB camera stream continuously for real-time relay"", ""Shutdown camera, glide passively to extend endurance"", ""Alternate climb/descent to harvest thermals while avoiding icing layers"", ""Increase communication retries during downlink outages"", ""Fly direct path through moving no-fly zone to save time""]","E balances energy harvesting via thermal updrafts with avoidance of icing-induced performance loss. It maintains mission progress while adapting to environmental constraints. Other options either increase power use, risk safety, or sacrifice critical mission functions." 2025-11-01T18:04:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_HAPS_Dusty_Indoor_21d9a8bec280_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_HAPS_Dusty_Indoor,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,C,False,How should the UAV respond during a GNSS jamming event at 80m AGL with uplink loss and dust-impaired vision?,"A high-altitude pseudo-satellite UAV performs a satellite link relay mission inside a large warehouse. The indoor airspace restricts flight between 10 and 100 meters AGL within a defined polygonal geofence. Poor visibility and dust particles impair sensor performance, while wind increases with altitude and shifts direction. The UAV carries a radar and RGB camera payload for navigation and relay operations, relying solely on battery power. GNSS signals suffer from multipath and jamming, and electromagnetic interference challenges communications. A static no-fly zone and a moving no-fly cylinder must be avoided, along with other dynamic obstacles. The mission involves orbiting key waypoints with a 15-meter loiter radius to maintain a communication relay. It operates as part of a three-UAV swarm with minimum separation of 20 meters between units. Uplink communication is unreliable with two loss windows, though downlink remains functional. The UAV must manage energy carefully due to high hover power draw and limited battery capacity.",Rely solely on unencrypted Wi-Fi for positioning,Descend immediately using open-loop timer control,Switch to authenticated radar-aided inertial navigation,Hover in place using RGB camera for obstacle avoidance,Transmit unencrypted telemetry to swarm for assistance,Use last known GNSS fix without cross-verification,Broadcast control commands on public frequency,"[""Rely solely on unencrypted Wi-Fi for positioning"", ""Descend immediately using open-loop timer control"", ""Switch to authenticated radar-aided inertial navigation"", ""Hover in place using RGB camera for obstacle avoidance"", ""Transmit unencrypted telemetry to swarm for assistance"", ""Use last known GNSS fix without cross-verification"", ""Broadcast control commands on public frequency""]","C ensures integrity and availability by fusing authenticated radar data with inertial measurements, maintaining secure, resilient navigation during jamming. It avoids spoofing risks and preserves swarm separation and mission continuity despite sensor and comms degradation." 2025-11-01T18:04:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_Helicopter_Snowfall_4870f6794539_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_Helicopter_Snowfall,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV system best handles 15 kg payload, icing from 200–260 s, and 600 s mission in 8 m/s winds?","This UAV mission involves a helicopter conducting an offshore platform inspection in snowy and icy conditions with poor visibility. The helicopter operates within a defined polygonal airspace bounded between 10 and 200 meters AGL. Winds blow from the west at 8 m/s with gusts up to 4 m/s, increasing flight challenges. The UAV is fuel-powered, equipped with radar, RGB and thermal cameras, and carries a 15 kg payload. A static no-fly zone blocks the central area, while a moving no-fly cylinder drifts near the route. Another UAV and a moving spherical obstacle traverse the airspace, requiring dynamic separation. The mission must be completed within 600 seconds, following a corridor pattern around key waypoints. GNSS signals may suffer from multipath due to the offshore structure and weather. Icing conditions are expected between 200 and 260 seconds, reducing performance, and communication dropouts occur briefly at 150 and 300 seconds.",Electric quadcopter with thermal camera and 25 min endurance,Solar-powered fixed-wing with radar and 700 s endurance,Fuel-powered helicopter with de-icing and dual GNSS receivers,"Electric VTOL with RGB camera, no radar, 600 s endurance","Hybrid octocopter with single camera, 18 kg payload, no de-icing","Fuel-powered UAV with mechanical gyros, no dynamic obstacle avoidance","Electric ducted fan with AES-256 encryption, 550 s endurance","[""Electric quadcopter with thermal camera and 25 min endurance"", ""Solar-powered fixed-wing with radar and 700 s endurance"", ""Fuel-powered helicopter with de-icing and dual GNSS receivers"", ""Electric VTOL with RGB camera, no radar, 600 s endurance"", ""Hybrid octocopter with single camera, 18 kg payload, no de-icing"", ""Fuel-powered UAV with mechanical gyros, no dynamic obstacle avoidance"", ""Electric ducted fan with AES-256 encryption, 550 s endurance""]","The fuel-powered helicopter supports the 15 kg payload and operates within the 600 s window while enduring icing and wind. Its de-icing capability and dual GNSS enhance reliability during icing and GNSS dropouts. Other systems lack critical features: electric systems risk power loss in cold, and missing sensors or redundancy reduce safety in dynamic obstacles and poor visibility." 2025-11-01T18:04:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_Harbor_Snowfall_6a669e381e7a_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_Harbor_Snowfall,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 80m AGL, 5.2kg payload, icing fault occurs mid-mission with 12% battery and 25m separation from swarm.","This is a relay mission using a heavy-lift octocopter operating in a harbor airspace. The UAV carries a 5.2 kg payload equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Flight occurs between 10 and 120 meters AGL within a defined polygonal geofence that includes a cylindrical no-fly zone near the center. The environment features strong winds from the southwest, gusts, snowfall, and icing conditions, reducing visibility and increasing flight risk. A swarm of three UAVs operates with minimum 25-meter separation, fulfilling leader, relay, and scout roles. The mission includes a time-constrained corridor route with four waypoints and must avoid a moving spherical obstacle. GNSS multipath is likely due to harbor structures, and an icing fault event occurs mid-mission, affecting performance. Communication experiences brief downlink outages, requiring resilient data handling. The UAV must manage battery reserves carefully under high wind and icing loads while maintaining safe separation from traffic and obstacles.",Continue to next waypoint; mission priority overrides minor risks.,Descend immediately to 10m AGL to reduce wind exposure and save power.,Abort mission and return to base; safety exceeds mission value.,Transfer payload to nearest UAV; redistribute workload dynamically.,Enter no-fly zone briefly to avoid moving obstacle; minimal violation.,Land in harbor area near civilians; quickest option for emergency.,Maintain course and altitude; trust autonomy to handle fault.,"[""Continue to next waypoint; mission priority overrides minor risks."", ""Descend immediately to 10m AGL to reduce wind exposure and save power."", ""Abort mission and return to base; safety exceeds mission value."", ""Transfer payload to nearest UAV; redistribute workload dynamically."", ""Enter no-fly zone briefly to avoid moving obstacle; minimal violation."", ""Land in harbor area near civilians; quickest option for emergency."", ""Maintain course and altitude; trust autonomy to handle fault.""]","Icing fault and low battery under harsh conditions create high risk of uncontrolled failure. Continuing or descending increases danger to people or property. Abort prioritizes human safety over mission, complies with airspace laws, and aligns with ethical duty to minimize harm." 2025-11-01T18:04:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_Hexacopter_Volcanic_Zone_9e6e772f6efc_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_Hexacopter_Volcanic_Zone,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"During GNSS jamming at 12.5 m/s wind with volcanic updrafts, how should the relay UAV adjust pitch and thrust to maintain 450 m AGL?","Hexacopter UAV conducts a satellite link relay mission in a hazardous volcanic zone. Flight occurs within a defined polygonal airspace bounded between 50 and 450 meters AGL. Severe weather includes strong winds up to 12.5 m/s, poor visibility, volcanic ash, and thermal updrafts. The UAV is equipped with RGB and thermal cameras, LiDAR, and GNSS/IMU navigation sensors. Payload includes a communications relay system with added drag and mass. Operation is constrained by a static no-fly zone around a central hazard and a moving no-fly zone. GNSS performance is degraded due to multipath, interference, and periodic jamming events. A three-UAV swarm flies in coordinated roles—leader, scout, and relay—with minimum 50-meter separation. The mission faces dynamic obstacles, wind shear, and two fault events: GNSS jamming and partial motor failure. Communication links experience two significant downlink loss windows during the flight.","Increase pitch to 15°, maintain thrust","Decrease pitch to 5°, reduce thrust by 20%","Increase pitch to 12°, increase thrust 15%","Hold pitch at 10°, decrease thrust","Reduce pitch to 0°, increase thrust 25%","Increase pitch to 18°, increase thrust 10%","Decrease pitch to 3°, increase thrust 5%","[""Increase pitch to 15°, maintain thrust"", ""Decrease pitch to 5°, reduce thrust by 20%"", ""Increase pitch to 12°, increase thrust 15%"", ""Hold pitch at 10°, decrease thrust"", ""Reduce pitch to 0°, increase thrust 25%"", ""Increase pitch to 18°, increase thrust 10%"", ""Decrease pitch to 3°, increase thrust 5%""]","Increasing pitch to 12° enhances angle of attack to counteract downdrafts and sustain lift in low-density, turbulent air. A 15% thrust boost compensates for induced drag rise and maintains airspeed against 12.5 m/s headwind. Higher angles (e.g., 18°) risk stall, while lower angles fail to offset vertical wind shear." 2025-11-01T18:04:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_Mission_in_Harbor_with_Lightning_Risk_ff3cdc656fc7_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_Mission_in_Harbor_with_Lightning_Risk,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,G,False,"During GNSS signal degradation near harbor structures, with 7.2 m/s winds and 4.5 m/s gusts, how should navigation be maintained?","This is a satellite link relay mission conducted in a harbor airspace using a heavy-lift octocopter equipped with radar, RGB camera, and GNSS/IMU navigation. The UAV carries a 5 kg payload and operates within a defined corridor between 10 and 120 meters AGL, bounded by a polygonal geofence. Weather includes moderate winds from the southwest at 7.2 m/s with gusts up to 4.5 m/s and a risk of lightning, requiring caution despite good visibility. A no-fly cylinder is active near the center of the area, restricting access below 80 meters within a 30-meter radius. The mission involves navigating a four-waypoint relay pattern under a 10-minute time budget, starting and ending near the spawn point. Air traffic includes a crossing UAV moving eastward, and a static spherical obstacle near the flight path requires avoidance. The UAV must maintain separation of at least 25 meters and avoid DAA breaches, with communication loss simulated between 240 and 270 seconds into the flight. GNSS multipath effects may occur due to nearby structures in the harbor environment, impacting positioning accuracy. Battery endurance is critical, with a 30% reserve required and energy consumption influenced by drag and maneuvering in windy conditions.",Rely solely on GNSS despite multipath errors,Switch to IMU-only dead reckoning for full duration,Fuse radar altimeter and IMU for vertical control only,Activate optical flow with RGB camera and IMU fusion,Descend immediately to minimum altitude to reduce wind,Hover using GNSS despite increasing position drift,Use radar and RGB to map obstacles and correct IMU drift,"[""Rely solely on GNSS despite multipath errors"", ""Switch to IMU-only dead reckoning for full duration"", ""Fuse radar altimeter and IMU for vertical control only"", ""Activate optical flow with RGB camera and IMU fusion"", ""Descend immediately to minimum altitude to reduce wind"", ""Hover using GNSS despite increasing position drift"", ""Use radar and RGB to map obstacles and correct IMU drift""]","GNSS multipath in harbor environments degrades position accuracy, requiring sensor fusion to mitigate drift. Radar and RGB provide environmental feedback to correct IMU bias during signal loss, especially under wind-induced dynamics. This approach maintains integrity by fusing redundant data when GNSS is unreliable." 2025-11-01T18:04:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_Octocopter_Wind_Farm_Hail_f98a845b842a_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_Octocopter_Wind_Farm_Hail,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Given 9.5 m/s winds and hail, which strategy maximizes relay mission completion within 600 seconds while maintaining 25 m separation?","Octocopter UAV performs a satellite link relay mission within a wind farm airspace. Flight occurs between 10 and 150 meters AGL, confined by a polygonal geofence. Weather includes strong 9.5 m/s winds from 240°, gusts up to 4.5 m/s, and poor visibility due to hail. The UAV carries an RGB camera and LIDAR payload, with full sensor suite including GNSS and IMU. A static no-fly zone surrounds a central turbine, and a dynamic no-fly zone moves through the area. A second UAV and a moving spherical obstacle create dynamic collision risks. GNSS jamming and an icing event temporarily degrade navigation and performance. Uplink/downlink communication suffers brief outages at 120 and 400 seconds. The mission requires completing a 5-waypoint corridor pattern within 600 seconds. Separation from traffic must remain above 25 meters with time-to-closest approach over 15 seconds.","Increase speed to reach waypoints early, accepting higher power draw",Descend to 10 m AGL to reduce wind resistance and save energy,Disable LIDAR to save power and rely on GNSS for navigation,Hover at each waypoint to stabilize comms link and ensure data relay,Shorten path by cutting corners near dynamic no-fly zones,Ascend to 150 m AGL for clearer line-of-sight and better signal,Activate de-icing and maintain full sensor suite at maximum output,"[""Increase speed to reach waypoints early, accepting higher power draw"", ""Descend to 10 m AGL to reduce wind resistance and save energy"", ""Disable LIDAR to save power and rely on GNSS for navigation"", ""Hover at each waypoint to stabilize comms link and ensure data relay"", ""Shorten path by cutting corners near dynamic no-fly zones"", ""Ascend to 150 m AGL for clearer line-of-sight and better signal"", ""Activate de-icing and maintain full sensor suite at maximum output""]","Flying at 10 m AGL reduces wind exposure, lowering propulsion power needs and conserving battery. This improves endurance without sacrificing mission completion, critical during communication outages and GNSS degradation. Other options either increase energy use or compromise safety and separation margins." 2025-11-01T18:04:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_Octocopter_Forest_Dust_6e54c17b0011_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_Octocopter_Forest_Dust,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,Which system ensures navigation and stability during GPS jamming at -75 dBm and 9 m/s winds with 4 m/s gusts?,"This mission involves a relay operation using an octocopter UAV in a forested area with poor visibility due to dust and sandstorm conditions. The UAV is equipped with GNSS, IMU, lidar, and RGB camera sensors, carrying a communications relay payload. Strong winds of 6 m/s increase to 9 m/s at higher altitudes, with gusts up to 4 m/s and shifting wind direction, complicating flight stability. The octocopter operates within a defined airspace polygon between 10 and 120 meters AGL, avoiding static and moving no-fly zones, including a dynamic cylinder obstacle. GNSS signals are degraded by multipath effects and intentional jamming at -75 dBm, with a simulated jamming fault occurring mid-mission. The UAV must maintain a minimum 25-meter separation from other swarm members and traffic while navigating waypoints in an orbit pattern. Communication is challenged by intermittent uplink loss during two time windows, though downlink remains functional. Battery capacity is limited to 720 Wh with a 30% reserve, requiring efficient energy use over the 600-second mission. The scenario tests resilience to environmental hazards, sensor faults, motor failure, and navigation in GPS-denied, cluttered terrain.",Use GNSS-only with no redundancy,Rely solely on IMU for dead reckoning,Fuse lidar and IMU with particle filter,Switch to RGB camera-only waypoint tracking,Descend to 10 m AGL and hover until clear,Use motor RPM feedback for position hold,Transmit position via downlink for ground control,"[""Use GNSS-only with no redundancy"", ""Rely solely on IMU for dead reckoning"", ""Fuse lidar and IMU with particle filter"", ""Switch to RGB camera-only waypoint tracking"", ""Descend to 10 m AGL and hover until clear"", ""Use motor RPM feedback for position hold"", ""Transmit position via downlink for ground control""]","Lidar-IMU fusion with a particle filter provides robust state estimation in GPS-denied, cluttered environments. It maintains accuracy during jamming and high winds by leveraging terrain-relative sensing. Other options fail in drift, observability, or mission continuity under these combined faults and conditions." 2025-11-01T18:04:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_Suburban_Thermal_67c8552585f3_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_Suburban_Thermal,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,Which strategy maximizes relay task completion within 600 s under 30% battery reserve and intermittent downlinks at 180–195 s?,"This is a relay mission conducted in suburban airspace with a swarm of three heavy-lift UAVs operating under a corridor flight pattern. The UAVs are equipped with standard sensors including GNSS, IMU, lidar, and RGB cameras but lack thermal imaging capability. They fly between 30 and 120 meters AGL within a defined polygonal geofence, avoiding both static and dynamic no-fly zones, the latter moving slowly southwest. The environment features moderate winds from 240 degrees at 6.5 m/s with gusts up to 3.2 m/s, along with thermal updrafts near two plume centers that may affect stability. GNSS signals are degraded by multipath effects and electromagnetic interference, complicating navigation accuracy. A second UAV and a moving spherical obstacle traverse the airspace, requiring strict separation enforcement of at least 25 meters. Communication experiences brief downlink outages between 180–195 and 420–430 seconds, with minimum RSSI at -85 dBm. The swarm launches from a common starting point and must complete the relay task within 600 seconds while preserving 30% battery reserve. Landing options include the preferred takeoff site and a single emergency zone in the southeast corner.",Fly direct paths at max speed to minimize flight time,Circle thermal updrafts to gain altitude without power,Reduce camera frame rate during downlink outages,Ascend to 120 m AGL for stronger GNSS signal,Increase separation buffer to 40 m from moving obstacle,Transmit full RGB stream during all comms windows,"Relay data only at endpoint, ignoring intermediate handoffs","[""Fly direct paths at max speed to minimize flight time"", ""Circle thermal updrafts to gain altitude without power"", ""Reduce camera frame rate during downlink outages"", ""Ascend to 120 m AGL for stronger GNSS signal"", ""Increase separation buffer to 40 m from moving obstacle"", ""Transmit full RGB stream during all comms windows"", ""Relay data only at endpoint, ignoring intermediate handoffs""]","Reducing camera frame rate during downlink outages cuts power use without compromising data integrity, preserving battery for critical phases. It adapts to communication constraints while maintaining mission continuity. Other options increase energy use or risk reserve depletion." 2025-11-01T18:04:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_VTOL_Tiltrotor_Powerline_Corridor_Hot_abc14d32faec_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_VTOL_Tiltrotor_Powerline_Corridor_Hot,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,G,False,"During GNSS multipath near powerlines, with 8 m/s wind from 210°, which sensor fusion strategy ensures accurate navigation?","This is an inspection mission using a VTOL tiltrotor UAV along a powerline corridor. The UAV operates within a defined airspace bounded by a polygon geofence, with altitude limits from 10 to 150 meters AGL. Weather conditions include a steady 8 m/s wind from 210 degrees and gusts up to 4 m/s, with good visibility. The UAV is equipped with GNSS, IMU, magnetometer, barometer, LiDAR, and RGB camera for navigation and data collection. A key constraint is a static no-fly zone (cylinder, 30m radius) centered at (400, 100) between 10–130m altitude. Additionally, a dynamic no-fly zone moves horizontally at 3 m/s, requiring real-time avoidance. There is also a moving spherical obstacle traveling west at 2 m/s, adding complexity to path planning. The mission must be completed within 600 seconds, with waypoints aligned in a linear corridor pattern. Communication experiences two brief downlink loss windows, at 120–130s and 450–465s, challenging data relay. GNSS multipath effects may occur near powerline structures, and UAV separation from traffic must be maintained above 25 meters.",Rely solely on GNSS for position updates,Use magnetometer heading to correct IMU drift,Fuse LiDAR with degraded GNSS during multipath,Depend on barometer for vertical position only,Switch to IMU-only during communication loss,Prioritize RGB optical flow in high wind,"Integrate LiDAR, IMU, and wind-compensated motion models","[""Rely solely on GNSS for position updates"", ""Use magnetometer heading to correct IMU drift"", ""Fuse LiDAR with degraded GNSS during multipath"", ""Depend on barometer for vertical position only"", ""Switch to IMU-only during communication loss"", ""Prioritize RGB optical flow in high wind"", ""Integrate LiDAR, IMU, and wind-compensated motion models""]","GNSS multipath near structures degrades positional accuracy, requiring fallback to LiDAR-IMU fusion. Wind from 210° induces drift, necessitating motion model compensation. G integrates environmental awareness, maintains redundancy, and fuses cross-modal data for robust navigation under dynamic conditions." 2025-11-01T18:04:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_VTOL_in_Snowy_Wind_Farm_a8cca39fb630_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_VTOL_in_Snowy_Wind_Farm,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best balances 12.5 kg mass, 1200 Wh battery, and fault tolerance during a 600-second VTOL relay in severe icing and GNSS denial?","This is a VTOL UAV relay mission in a snowy offshore wind farm with dynamic weather and multiple hazards. The UAV operates in low visibility with moderate to strong winds increasing with altitude and experiences snowfall and icing conditions. A tiltrotor VTOL with a 12.5 kg mass and 1200 Wh battery carries an RGB camera and GNSS/IMU suite as payload. The mission requires maintaining a satellite communication link while navigating through a corridor of waypoints. The airspace includes a static no-fly zone around a central turbine and a moving no-fly zone due to shifting obstacles. GNSS multipath, electromagnetic interference, and periodic comms loss challenge navigation and control. The UAV must avoid collisions with other traffic, moving obstacles, and maintain 25 m separation within its own swarm. An icing fault event occurs mid-mission, reducing performance for one minute. The UAV must complete the relay task within a 600-second budget and land on a designated runway. Battery reserve is set to 30%, and safe separation thresholds are enforced via DAA monitoring.",Fixed-wing with solar augmentation and lightweight comms,Quadcopter with de-icing heaters and dual GNSS receivers,Tiltrotor with adaptive rotor-pitch and encrypted SATCOM,Hybrid airship with low-power radar and extended endurance,Flapping-wing UAV with stealth acoustics and minimal radar cross-section,Ducted-fan VTOL with redundant IMUs and collision avoidance AI,Rotary-wing with mechanical de-icing and high-gain directional antenna,"[""Fixed-wing with solar augmentation and lightweight comms"", ""Quadcopter with de-icing heaters and dual GNSS receivers"", ""Tiltrotor with adaptive rotor-pitch and encrypted SATCOM"", ""Hybrid airship with low-power radar and extended endurance"", ""Flapping-wing UAV with stealth acoustics and minimal radar cross-section"", ""Ducted-fan VTOL with redundant IMUs and collision avoidance AI"", ""Rotary-wing with mechanical de-icing and high-gain directional antenna""]","The tiltrotor matches the described platform, leveraging adaptive rotor-pitch for wind resilience and encrypted SATCOM for reliable relay in comms-challenged environments. It optimally balances energy efficiency, fault tolerance during icing, and navigation robustness without exceeding mass or time constraints. Other options sacrifice endurance, responsiveness, or system compatibility essential for this mission." 2025-11-01T18:04:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_in_Dense_Urban_Rain_d5786e7bf20a_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_in_Dense_Urban_Rain,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,"Which UAV configuration best handles 50% thrust loss, GNSS jamming, and 11.5 m/s winds while maintaining 25 m separation with 1.2 kg payload?","This mission involves a satellite link relay using a battery-powered octocopter in a dense urban environment. The UAV carries a 1.2 kg payload and is equipped with GNSS, IMU, camera, lidar, and other standard sensors. Operations occur within a 200x200 meter airspace zone with a minimum altitude of 10 m AGL and a maximum of 120 m AGL. A static no-fly zone blocks the central area, while a moving no-fly zone drifts through the domain, adding complexity. The swarm consists of three UAVs maintaining at least 25 m separation, with roles split between relay, scout, and follower. Weather includes strong winds up to 11.5 m/s increasing with altitude, poor visibility due to rain, and lightning risk. GNSS multipath and electromagnetic interference degrade navigation, with a simulated GNSS jamming event lasting 45 seconds. Uplink communications are lost between 180–225 seconds, requiring autonomous operation during that window. A motor failure occurs at 300 seconds, reducing thrust capability by 50%. The mission follows a corridor pattern across four waypoints within a 10-minute time limit, returning to the preferred landing site near the start.",Redundant motors with adaptive control and wind-resistant design,Lightweight frame with high-efficiency propellers for longer range,Additional battery capacity for extended endurance in rain,High-gain satellite antenna for improved uplink reliability,Vision-only navigation to reduce sensor power consumption,Centralized swarm control relying on continuous GNSS updates,Fixed-wing design for energy-efficient high-speed corridor transit,"[""Redundant motors with adaptive control and wind-resistant design"", ""Lightweight frame with high-efficiency propellers for longer range"", ""Additional battery capacity for extended endurance in rain"", ""High-gain satellite antenna for improved uplink reliability"", ""Vision-only navigation to reduce sensor power consumption"", ""Centralized swarm control relying on continuous GNSS updates"", ""Fixed-wing design for energy-efficient high-speed corridor transit""]","System A maintains fault tolerance after motor failure, resists wind disturbances, and operates during GNSS outages using sensor fusion. It supports swarm separation via reliable onboard processing. Other options fail in adaptability, autonomy, or structural resilience under combined stressors." 2025-11-01T18:04:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_in_Forest_with_Fog_047f09db0110_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_in_Forest_with_Fog,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 240 s, icing reduces performance; wind gusts reach 9 m/s at 100 m in a geofenced forest with degraded GNSS and a shifting no-fly zone.","This is a relay mission conducted in a forested airspace with poor visibility due to fog and icing conditions. The UAV is a VTOL tiltrotor equipped with GNSS, IMU, lidar, and RGB camera, carrying a 1.2 kg payload for satellite link relay. Weather includes moderate wind at 6 m/s from 240° with gusts, increasing to 9 m/s at 100 m altitude, and thermal updrafts near the center of the area. The flight operates between 5 and 150 m AGL within a defined polygon geofence, avoiding a static no-fly zone and a moving obstacle. A dynamic no-fly zone shifts through the airspace, requiring real-time avoidance. The UAV must maintain separation from other traffic and swarm members, with a minimum inter-UAV distance of 25 m. GNSS performance is degraded by multipath and interference, with jamming at -75 dBm, and brief communication outages occur. The mission includes an icing fault event at 240 seconds, reducing performance for one minute. The operation requires a runway-aligned takeoff and return, with loiter patterns and corridor routing to maintain line-of-sight relay coverage.",Continue mission; rely on IMU and lidar for navigation.,Climb above 150 m to escape turbulence and icing.,Abort and return using runway-aligned descent path.,Descend below 5 m to reduce wind exposure.,Hover in place until GNSS signal stabilizes.,Penetrate moving no-fly zone to maintain relay link.,Eject payload to regain control authority.,"[""Continue mission; rely on IMU and lidar for navigation."", ""Climb above 150 m to escape turbulence and icing."", ""Abort and return using runway-aligned descent path."", ""Descend below 5 m to reduce wind exposure."", ""Hover in place until GNSS signal stabilizes."", ""Penetrate moving no-fly zone to maintain relay link."", ""Eject payload to regain control authority.""]",Safety requires aborting during performance degradation in poor conditions with unreliable navigation. Continuing risks loss of control or collision. Returning via runway alignment ensures compliance with operational and safety protocols while minimizing risk to people and property. 2025-11-01T18:04:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_Swarm_Offshore_ee1839515607_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_Swarm_Offshore,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"With 8 m/s westerly winds and a 2 m/s eastward obstacle, what airspeed adjustment optimizes swarm gap safety and GNSS reliability?","This is a UAV swarm inspection mission conducted offshore near a platform. The airspace is confined to a 500m x 500m polygon with a cylindrical no-fly zone around the center. Winds are from the west at 8 m/s with gusts up to 4 m/s and a risk of lightning. Four battery-powered rotorcraft drones with radar and RGB cameras operate as a coordinated swarm. The swarm includes one leader, two relay drones, and a scout, maintaining at least 25m separation. The mission involves following a corridor pattern through five waypoints within a 10-minute time limit. A moving spherical obstacle drifts eastward at 2 m/s, adding complexity to navigation. GNSS signals may experience multipath due to the offshore structure, and a 15-second comms link loss occurs mid-mission. Drones must avoid collisions, respect geofences, and land at designated sites after completing the route. Battery endurance and downlink quality are key constraints throughout the operation.",Increase airspeed by 3 m/s to outrun obstacle drift,Reduce airspeed to 5 m/s to minimize gust instability,Match groundspeed to wind speed for zero drift,Fly at 10 m/s into wind to maximize control authority,Decrease airspeed below induced drag minimum,Trim for zero angle of attack to reduce lift-induced drag,Maintain 7 m/s forward flight with 15° wind correction angle,"[""Increase airspeed by 3 m/s to outrun obstacle drift"", ""Reduce airspeed to 5 m/s to minimize gust instability"", ""Match groundspeed to wind speed for zero drift"", ""Fly at 10 m/s into wind to maximize control authority"", ""Decrease airspeed below induced drag minimum"", ""Trim for zero angle of attack to reduce lift-induced drag"", ""Maintain 7 m/s forward flight with 15° wind correction angle""]","Maintaining 7 m/s with a 15° wind correction counteracts 8 m/s westerly drift while preserving lift and minimizing sideslip. This ensures safe obstacle avoidance and stable sensor alignment despite gusts. Other choices either exceed power limits or disrupt lift-drag balance, risking instability or collision." 2025-11-01T18:04:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_in_Jungle_with_VTOL_Tiltrotor_c88c79944a42_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_in_Jungle_with_VTOL_Tiltrotor,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,A VTOL tiltrotor in a jungle must relay satellite comms while avoiding a moving no-fly zone and maintaining 25m separation from two other UAVs.,"This mission involves a satellite link relay using a VTOL tiltrotor UAV in a dense jungle environment. The UAV operates within a defined airspace bounded by a geofence, with a maximum altitude of 300 meters AGL and a minimum of 10 meters. Weather conditions include strong winds up to 15 m/s at higher altitudes, gusts, poor visibility, and high temperatures. The VTOL tiltrotor is equipped with a battery-powered propulsion system, RGB camera, LiDAR, and GNSS/IMU navigation sensors. Key constraints include a static no-fly zone near the center and a moving no-fly zone drifting northwest, requiring real-time avoidance. GNSS signals are degraded due to multipath effects and moderate jamming, while electromagnetic interference adds navigation risk. The mission requires maintaining a communication relay link, with brief uplink/downlink outages scheduled during flight. The UAV must avoid collisions with static and moving obstacles, including another UAV traveling cross-course. A swarm of three UAVs operates cooperatively, maintaining at least 25 meters separation between units. The flight concludes with a runway-assisted landing at the starting zone after completing the waypoint corridor.",Ascend to 300m for better GNSS signal and comms range,Descend to 10m to avoid wind gusts and save battery,Match altitude with swarm at 150m for optimal comms and spacing,Fly outside geofence to bypass the static no-fly zone,Proceed alone through corridor to minimize collision risk,Delay relay activation until past moving no-fly zone,Land immediately due to degraded GNSS signal quality,"[""Ascend to 300m for better GNSS signal and comms range"", ""Descend to 10m to avoid wind gusts and save battery"", ""Match altitude with swarm at 150m for optimal comms and spacing"", ""Fly outside geofence to bypass the static no-fly zone"", ""Proceed alone through corridor to minimize collision risk"", ""Delay relay activation until past moving no-fly zone"", ""Land immediately due to degraded GNSS signal quality""]","Maintaining 150m altitude ensures swarm cohesion, preserves 25m separation, and balances comms reliability with obstacle avoidance. It optimizes energy use and inter-agent coordination under GNSS degradation. Other options risk collision, isolation, or mission failure by breaking spacing or communication constraints." 2025-11-01T18:04:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_in_Forest_with_Fog_903ffe05856c_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_in_Forest_with_Fog,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 180m AGL in fog, GNSS degrades; a swarm UAV enters the northeast moving no-fly zone. What action prioritizes safety and mission integrity?","This mission involves a VTOL tiltrotor UAV performing a satellite link relay in a forested area with poor visibility due to fog. The operation takes place within a defined 200m x 200m polygon airspace, with altitude limits between 10m and 250m AGL. Weather conditions include moderate wind at 6 m/s from 240°, increasing with altitude, along with gusts and thermal updrafts. The UAV is equipped with GNSS, IMU, lidar, and RGB camera, supporting a 1.2kg payload for communication relay. Key constraints include a static no-fly zone over the center of the area and a moving no-fly cylinder near the northeast quadrant. GNSS signals are degraded by multipath effects and electromagnetic interference, complicating navigation. The UAV must follow a corridor pattern between four waypoints while maintaining separation from traffic and dynamic obstacles. A swarm of three UAVs operates cooperatively, requiring minimum 25m inter-UAV separation and coordinated transitions between flight modes. The mission concludes with a runway-assisted landing, constrained by battery reserve requirements and temporary communication outages.",Descend to 15m AGL to avoid collision and reestablish GNSS lock,Continue current heading to maintain relay coverage for emergency responders,Ascend to 250m AGL for stronger satellite signal and wind clearance,Enter no-fly zone to recover lagging swarm UAV for mission continuity,Divert into central static no-fly zone as temporary holding pattern,"Land immediately at nearest clear spot, aborting mission","Broadcast alert, adjust path to maintain 25m separation and exit restricted zone","[""Descend to 15m AGL to avoid collision and reestablish GNSS lock"", ""Continue current heading to maintain relay coverage for emergency responders"", ""Ascend to 250m AGL for stronger satellite signal and wind clearance"", ""Enter no-fly zone to recover lagging swarm UAV for mission continuity"", ""Divert into central static no-fly zone as temporary holding pattern"", ""Land immediately at nearest clear spot, aborting mission"", ""Broadcast alert, adjust path to maintain 25m separation and exit restricted zone""]","The UAV must avoid restricted zones and maintain swarm separation to comply with airspace laws and prevent collisions. Continuing the mission while correcting trajectory upholds safety and coordination. Other options risk legal violations, endanger assets, or unnecessarily abort critical relay operations." 2025-11-01T18:04:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_in_Mountainous_Terrain_with_Octocopter_40c313539030_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_in_Mountainous_Terrain_with_Octocopter,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 115s, UAV must relay data amid 15s comms outage starting at 120s, 7.5 m/s winds, and a dynamic NFZ moving at 3 m/s.","This mission involves a satellite link relay using an octocopter UAV in mountainous terrain. The flight area is a defined polygon with a minimum altitude of 50 meters AGL and a maximum of 300 meters AGL. Winds are moderate at 7.5 m/s from 240 degrees, with gusts up to 4.0 m/s, and visibility is good. The octocopter carries a 1.2 kg payload equipped with RGB and thermal cameras for surveillance and relay support. A static no-fly zone is present near the center of the area, and a dynamic no-fly zone moves slowly through the airspace. The UAV must avoid both fixed and moving obstacles, including another UAV traveling at 12 m/s and a drifting spherical obstacle. Communication links experience brief outages between 120–130 seconds and 410–425 seconds into the mission. GNSS signals may suffer from multipath effects due to terrain, and strict separation standards of 25 meters are enforced for collision avoidance. The mission must be completed within 600 seconds while maintaining line-of-sight as much as possible. Battery endurance is critical, with a reserve fraction of 30% required for safe return.",Climb to 280 m AGL to extend LOS before outage,Descend to 60 m AGL and proceed direct through static NFZ,"Maintain 150 m AGL, continue current heading into dynamic NFZ","Turn left, descend to 50 m AGL, and fly under drifting sphere",Increase speed to 14 m/s to exit outage zone early,Begin return at 115s to preserve 30% battery,"Delay ascent, fly parallel to dynamic NFZ at 250 m AGL","[""Climb to 280 m AGL to extend LOS before outage"", ""Descend to 60 m AGL and proceed direct through static NFZ"", ""Maintain 150 m AGL, continue current heading into dynamic NFZ"", ""Turn left, descend to 50 m AGL, and fly under drifting sphere"", ""Increase speed to 14 m/s to exit outage zone early"", ""Begin return at 115s to preserve 30% battery"", ""Delay ascent, fly parallel to dynamic NFZ at 250 m AGL""]","G maintains VLOS, avoids both NFZs with safe lateral separation, and stays within 50–300 m AGL. It delays climb to preserve battery and reduces risk before the comms outage. Other options violate NFZs, reduce endurance, or increase multipath exposure." 2025-11-01T18:04:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_in_Powerline_Corridor_under_Hot_Conditions_c28b04f4cb9c_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_in_Powerline_Corridor_under_Hot_Conditions,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which UAV configuration optimizes endurance, obstacle avoidance, and stability under 9 m/s winds and thermal updrafts at 30–150 m AGL?","Fixed-wing UAV conducts powerline corridor inspection under hot weather conditions. Operating within a defined polygonal airspace, altitude is restricted between 30 and 150 meters AGL. Mission involves flying a series of waypoints in a linear corridor pattern to inspect infrastructure. The UAV is equipped with radar, RGB camera, and standard navigation sensors, powered entirely by battery. Strong winds up to 9 m/s from the southwest vary with altitude, requiring dynamic flight adjustments. A thermal updraft zone near the corridor center may affect flight stability and energy use. A cylindrical no-fly zone blocks part of the corridor, requiring obstacle avoidance maneuvers. Another UAV and a moving spherical obstacle introduce traffic separation challenges. Communication experiences brief downlink outages, and electromagnetic interference is present. Mission requires runway-assisted takeoff and landing, with time and battery constraints.",Lightweight frame with minimal sensors to save power,Fixed-wing with radar-guided obstacle avoidance and wind compensation,Quadcopter with high hover time for precise inspection,Solar-assisted hybrid power with limited battery redundancy,High-payload UAV carrying redundant cameras only,Glider-type UAV relying on thermals for extended range,Rotomemory wings with adaptive control but high energy use,"[""Lightweight frame with minimal sensors to save power"", ""Fixed-wing with radar-guided obstacle avoidance and wind compensation"", ""Quadcopter with high hover time for precise inspection"", ""Solar-assisted hybrid power with limited battery redundancy"", ""High-payload UAV carrying redundant cameras only"", ""Glider-type UAV relying on thermals for extended range"", ""Rotomemory wings with adaptive control but high energy use""]","Fixed-wing design matches the mission's need for efficient linear coverage and battery-limited endurance. Radar enables reliable obstacle detection amid electromagnetic interference and downlink outages. Wind compensation ensures stable flight under 9 m/s variable winds and thermal disturbances, balancing safety, efficiency, and adaptability better than alternatives." 2025-11-01T18:04:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_in_Powerline_Corridor_Under_Icing_Conditions_c5799f647b82_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_in_Powerline_Corridor_Under_Icing_Conditions,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 80m AGL, 90 seconds into the mission, icing fault hits; wind is 8 m/s with 4 m/s gusts. What immediate action maintains safety and mission integrity?","This is an inspection mission using a fuel-powered helicopter UAV equipped with RGB and thermal cameras, lidar, and standard navigation sensors. The flight occurs within a designated powerline corridor airspace, bounded between 10 and 120 meters AGL. The environment features poor visibility and hazardous icing conditions, with a moderate west wind at 8 m/s and gusts up to 4 m/s. The UAV has a total mass of 50 kg, including a 5 kg payload, and relies on fuel for extended endurance. A static no-fly zone is present near the center of the corridor, with an additional dynamic no-fly zone moving through the area. The mission includes a planned waypoint route along the corridor with a 600-second time limit and requires maintaining safe separation from other air traffic. Communication experiences brief downlink outages, and the UAV must manage reduced link quality. An icing fault event occurs mid-mission, affecting performance for one minute. The scenario enforces strict constraints including geofencing, minimum separation of 25 meters from traffic, and GNSS multipath risks near infrastructure. Safe landing sites are designated at both start and far end of the corridor.",Descend to 15m AGL to avoid icing layers,Climb to 110m AGL for smoother airflow,Reduce speed by 30% to improve control stability,Turn back toward start landing site immediately,Maintain current altitude and speed,Accelerate to exit icing zone within 40s,Enter hover mode for system recalibration,"[""Descend to 15m AGL to avoid icing layers"", ""Climb to 110m AGL for smoother airflow"", ""Reduce speed by 30% to improve control stability"", ""Turn back toward start landing site immediately"", ""Maintain current altitude and speed"", ""Accelerate to exit icing zone within 40s"", ""Enter hover mode for system recalibration""]","Reducing speed improves control authority during icing-induced lift loss while staying within 10–120m AGL bounds. It conserves energy, maintains separation, and avoids triggering geofence violations. Other options compromise safety, exceed altitude limits, or waste time/energy under wind and communication constraints." 2025-11-01T18:04:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_in_Powerline_Corridor_under_Low_Visibility_1624485ffd85_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_in_Powerline_Corridor_under_Low_Visibility,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"Given 10 m/s gusts, icing, and GNSS multipath, which navigation mode ensures control stability and data integrity during downlink outages?","This mission involves a quadrotor UAV conducting an inspection along a powerline corridor under poor visibility and icing conditions. The UAV operates within a defined airspace between 10 and 60 meters AGL, following a corridor flight pattern across five waypoints. Weather includes strong winds up to 10 m/s with gusts, wind shear, and hazardous icing that impacts performance midway through the mission. The UAV is equipped with RGB camera and LiDAR payload for visual inspection, relying on GNSS, IMU, and barometer for navigation despite GNSS multipath and moderate RF interference. A static no-fly zone and a moving no-fly cylinder require dynamic path adjustments, while a nearby thermal updraft may affect stability. The UAV must maintain separation from a moving obstacle and an intruder UAV traveling westbound. Communication experiences brief downlink outages, and satellite link relay is critical for telemetry and control. Battery capacity is limited, with a reserve of 30% required for safe return. The scenario emphasizes low-altitude navigation in cluttered, electrically noisy environments with degraded GNSS. Mission success depends on timely waypoint completion within 600 seconds despite environmental and system challenges.",Rely solely on encrypted GNSS with RF interference filtering,Switch to IMU-barometer dead reckoning with LiDAR terrain correlation,Use unencrypted satellite relay for continuous command uplink,Increase control loop frequency using spoofed GNSS for position hold,Disable intrusion detection to reduce authentication latency in gusts,Transmit telemetry via public Wi-Fi to avoid RF interference,Override actuators manually when icing disrupts autonomous stability,"[""Rely solely on encrypted GNSS with RF interference filtering"", ""Switch to IMU-barometer dead reckoning with LiDAR terrain correlation"", ""Use unencrypted satellite relay for continuous command uplink"", ""Increase control loop frequency using spoofed GNSS for position hold"", ""Disable intrusion detection to reduce authentication latency in gusts"", ""Transmit telemetry via public Wi-Fi to avoid RF interference"", ""Override actuators manually when icing disrupts autonomous stability""]","IMU-barometer dead reckoning with LiDAR validation maintains control stability during GNSS degradation and resists spoofing. It preserves data integrity without relying on vulnerable external links. This layered approach ensures continued navigation despite RF interference, icing, and downlink outages." 2025-11-01T18:04:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_in_Rural_Icing_Conditions_7684e51f72c5_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_in_Rural_Icing_Conditions,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,Plan route avoiding static/moving NFZs and drifting sphere at 200s; maintain 10–180m AGL with GNSS drift and 600s limit.,"This is a satellite link relay mission using a heavy-lift octocopter in rural airspace. The UAV carries a 5 kg payload and is equipped with radar, RGB camera, and standard navigation sensors. The flight occurs in icing conditions with moderate winds increasing with altitude, gusts, and electromagnetic interference. The operational altitude ranges from 10 to 180 meters AGL within a defined polygon geofence. A static no-fly zone and a moving no-fly cylinder must be avoided, along with a drifting spherical obstacle. The mission includes a 600-second time budget and requires maintaining separation from another UAV flying through the area. GNSS signals are degraded due to jamming and potential multipath, and uplink communication is lost between 200 and 320 seconds. An icing event occurs at 200 seconds, reducing performance for 120 seconds. The UAV must complete a three-waypoint corridor route while managing battery reserves and avoiding all constraints.","Fly direct WP1-WP2-WP3 at 150m, ignore drift corrections","Climb to 180m after WP1, bypass sphere early",Delay WP2 entry until 250s to clear moving NFZ,Descend to 10m AGL between WP1 and WP2 for stealth,"Reroute east of sphere at 120m, adjust for GNSS loss",Hold at WP1 until 320s to wait out comms blackout,Cut through static NFZ edge to save 40s on clock,"[""Fly direct WP1-WP2-WP3 at 150m, ignore drift corrections"", ""Climb to 180m after WP1, bypass sphere early"", ""Delay WP2 entry until 250s to clear moving NFZ"", ""Descend to 10m AGL between WP1 and WP2 for stealth"", ""Reroute east of sphere at 120m, adjust for GNSS loss"", ""Hold at WP1 until 320s to wait out comms blackout"", ""Cut through static NFZ edge to save 40s on clock""]","Option E balances obstacle avoidance, sensor degradation, and timing by rerouting east at a safe altitude, respecting GNSS uncertainty. It avoids the drifting sphere and moving NFZ without violating AGL limits or wasting time. Other options breach NFZs, waste time, or ignore performance loss during critical phases." 2025-11-01T18:04:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_in_Urban_Canyon_with_Icing_Conditions_7cf7087aecf4_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_in_Urban_Canyon_with_Icing_Conditions,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 120m AGL, icing reduces lift for 60 seconds while a moving obstacle approaches within 150m at 5 m/s. What should the UAV prioritize?","Fixed-wing UAV conducts satellite link relay in a dense urban canyon environment. Operating altitude ranges from 30 to 200 meters AGL within a defined rectangular airspace. Mission faces challenging weather including icing conditions and moderate crosswinds from the west. Wind speed increases with altitude, ranging from 6 to 10 m/s, with shifting direction. The UAV is equipped with GNSS, IMU, lidar, camera, and communication relay payload. Significant GNSS multipath and electromagnetic interference degrade navigation and comms. A no-fly zone cylinder blocks the central area, requiring careful path planning. A moving spherical obstacle drifts westward at 5 m/s, adding dynamic collision risk. An icing event occurs mid-mission, reducing aerodynamic efficiency for one minute. Uplink and downlink experience brief signal loss, while maintaining overall mission link quality.",Descend rapidly to avoid obstacle,Maintain altitude to preserve link,Climb to escape icing layer,Eject payload to reduce weight,Turn east toward populated zone,Hold course; obstacle is non-critical,Initiate emergency descent to safe zone,"[""Descend rapidly to avoid obstacle"", ""Maintain altitude to preserve link"", ""Climb to escape icing layer"", ""Eject payload to reduce weight"", ""Turn east toward populated zone"", ""Hold course; obstacle is non-critical"", ""Initiate emergency descent to safe zone""]","Human safety outweighs mission continuity. An emergency descent avoids collision risk from combined icing and obstacle drift, prevents uncontrolled failure near civilians, and complies with airspace safety protocols. Other options either increase risk to people or ignore critical failure states." 2025-11-01T18:04:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Search_and_Rescue_at_Airport_Perimeter_in_Snowfall_7f549b9950b5_mcq.json,uavbench-mcq-v1,Search_and_Rescue_at_Airport_Perimeter_in_Snowfall,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"Given 600-second limit, 25m separation from UAV2, and 30% battery reserve, which path maximizes search coverage while ensuring safe return?","This is a search and rescue mission conducted near an airport perimeter in snowy conditions with poor visibility. The UAV operates in controlled airspace with a maximum altitude of 120 meters AGL and a minimum of 15 meters AGL. Weather includes moderate wind at 6.5 m/s from 240 degrees with gusts up to 4.0 m/s, and active snowfall impacts visibility and flight stability. A single hexacopter UAV equipped with RGB and thermal cameras is used, powered by a battery with 850 Wh capacity and a 30% reserve requirement. The UAV must avoid a cylindrical no-fly zone near the center of the area and maintain separation from a moving obstacle oscillating near the runway. The mission involves following a corridor search pattern across five waypoints within a 600-second time limit. A second UAV enters the airspace from the north, requiring detect-and-avoid compliance with a 25-meter separation threshold and 15-second time-to-closest-approach buffer. GNSS signals may experience multipath interference due to proximity to airport infrastructure. The UAV spawns at the southeast side of the perimeter and must return to a preferred landing site near the runway threshold.","Climb to 120m for wider thermal coverage, then descend near no-fly zone",Delay launch by 45s to sync with UAV2's oscillation pattern,"Follow corridor at 45m AGL, adjust speed to maintain 25m from UAV2",Prioritize waypoint 5 first to exploit stronger GNSS near runway,Reduce speed by 30% to extend camera integration time in snow,Alternate altitude with UAV2 every 60s to deconflict communication bands,Circle no-fly zone at 20m AGL to preserve battery for later search,"[""Climb to 120m for wider thermal coverage, then descend near no-fly zone"", ""Delay launch by 45s to sync with UAV2's oscillation pattern"", ""Follow corridor at 45m AGL, adjust speed to maintain 25m from UAV2"", ""Prioritize waypoint 5 first to exploit stronger GNSS near runway"", ""Reduce speed by 30% to extend camera integration time in snow"", ""Alternate altitude with UAV2 every 60s to deconflict communication bands"", ""Circle no-fly zone at 20m AGL to preserve battery for later search""]","Maintaining 45m AGL ensures visibility and stability in snow while staying within safe altitude bounds. Adjusting speed dynamically preserves the 25m separation from UAV2 with 15s time-to-closest-approach margin. This balances coverage, collision avoidance, and energy use under coordinated detect-and-avoid constraints." 2025-11-01T18:04:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Search_and_Rescue_at_Airport_Perimeter_with_Strong_Crosswind_7c5e75d2bef5_mcq.json,uavbench-mcq-v1,Search_and_Rescue_at_Airport_Perimeter_with_Strong_Crosswind,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 110 m AGL with 8.5 m/s crosswinds and GNSS multipath, which navigation strategy ensures reliable positioning during grid search?","Search and rescue mission conducted near airport perimeter using a quadrotor UAV equipped with RGB and thermal cameras. Flight occurs within a defined airspace polygon, bounded between 10 and 120 meters AGL. Strong crosswinds from 240° at 8.5 m/s with gusts up to 4.2 m/s challenge flight stability. The UAV is a battery-powered quadrotor with a total mass of 2.5 kg, including a 0.3 kg payload. A static no-fly zone and a moving no-fly cylinder create restricted areas to avoid during operations. A second UAV and a moving spherical obstacle require dynamic separation using DAA thresholds of 25 meters and 10 seconds TTC. Communication experiences two brief downlink loss windows, potentially affecting command and telemetry. The mission follows a grid search pattern with five key waypoints before returning to base. GNSS signals may suffer multipath effects due to proximity to airport infrastructure. Battery reserve is set to 30%, limiting operational time to 600 seconds including contingency.",Rely solely on GNSS due to high altitude accuracy,Use IMU-only dead reckoning to avoid signal noise,Fuse GNSS with visual odometry from RGB camera,Switch to thermal-inertial SLAM during downlink loss,Depend on magnetometer heading for drift correction,Pre-load GPS waypoints and ignore real-time updates,Use barometer as primary altitude reference,"[""Rely solely on GNSS due to high altitude accuracy"", ""Use IMU-only dead reckoning to avoid signal noise"", ""Fuse GNSS with visual odometry from RGB camera"", ""Switch to thermal-inertial SLAM during downlink loss"", ""Depend on magnetometer heading for drift correction"", ""Pre-load GPS waypoints and ignore real-time updates"", ""Use barometer as primary altitude reference""]","GNSS multipath near airport infrastructure degrades positional accuracy, requiring augmentation. Visual odometry from the RGB camera provides independent pose estimates, enabling robust sensor fusion with GNSS during partial outages. This approach mitigates wind-induced drift and maintains grid integrity while preserving battery usage within constraints." 2025-11-01T18:04:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Search_and_Rescue_at_Airport_Perimeter_under_Icing_Conditions_6413ce6b8065_mcq.json,uavbench-mcq-v1,Search_and_Rescue_at_Airport_Perimeter_under_Icing_Conditions,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 120m AGL with 15kt wind shift and icing reducing lift, which action maintains search efficacy, safety, and energy?","Search and rescue mission near an airport perimeter with restricted airspace and dynamic no-fly zones. The UAV operates in poor visibility and icing conditions, requiring careful thermal and battery management. A convertiplane UAV with both VTOL and fixed-wing capabilities carries RGB and thermal cameras for search operations. The flight envelope is limited between 10 and 150 meters AGL within a defined polygon geofence. A stationary no-fly cylinder protects a central zone, while a moving obstacle and dynamic NFZ add complexity. The mission includes a grid search pattern with five waypoints and requires a runway approach for landing. Icing events degrade performance midway, increasing weight and drag while reducing lift. GNSS signals suffer from multipath and interference, challenging navigation near structures. Air traffic and DAA requirements enforce a 25-meter separation minimum to avoid collisions. Wind increases with altitude and shifts direction, requiring constant flight adjustments.",Descend to 10m AGL to reduce drag and conserve battery,Climb to 150m for clearer GNSS and stronger lift,Maintain altitude and increase speed by 20% for stability,Exit grid pattern to hover VTOL and reassess sensors,Reduce speed to minimum to extend loiter time,Turn downwind and delay search until clear of NFZ,"Adjust altitude to 80m, trim pitch, and stagger waypoints","[""Descend to 10m AGL to reduce drag and conserve battery"", ""Climb to 150m for clearer GNSS and stronger lift"", ""Maintain altitude and increase speed by 20% for stability"", ""Exit grid pattern to hover VTOL and reassess sensors"", ""Reduce speed to minimum to extend loiter time"", ""Turn downwind and delay search until clear of NFZ"", ""Adjust altitude to 80m, trim pitch, and stagger waypoints""]","80m balances reduced wind exposure, acceptable GNSS performance, and safe separation from dynamic obstacles. It conserves energy while maintaining lift margin post-icing and ensures geofence compliance. This preserves search continuity, navigation accuracy, and aerodynamic stability under degraded conditions." 2025-11-01T18:04:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Platform_Inspection_in_Snowfall_7ddf42e225bd_mcq.json,uavbench-mcq-v1,Offshore_Platform_Inspection_in_Snowfall,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,B,B,True,"During snowfall with 11.5 m/s winds and GNSS degradation, how should the UAV handle a 1-minute icing event while inspecting near dynamic no-fly zones?","This is an offshore platform inspection mission using a quadrotor UAV in coastal airspace. The UAV is equipped with radar, RGB and thermal cameras, and relies on battery power with a 450 Wh capacity. The flight occurs during snowfall with poor visibility and moderate winds up to 11.5 m/s, increasing with altitude and shifting in direction. A no-fly zone is present near the center of the airspace, and a dynamic no-fly zone moves slowly through the area. GNSS signals are degraded due to multipath and interference, with occasional communication dropouts. The UAV must follow a corridor inspection pattern across five waypoints while maintaining safe separation from a moving obstacle and an intruder UAV. Battery reserve is set to 30%, and the mission must be completed within 600 seconds. Flight altitude is constrained between 10 m and 120 m AGL within a defined geofence. An icing event occurs mid-mission, reducing performance for one minute.",Rely solely on GNSS and continue at reduced speed,Switch to encrypted visual-inertial navigation with obstacle tracking,Descend to 10 m AGL and await GNSS signal recovery,Transmit unencrypted telemetry to base for manual control,Disable thermal camera to conserve power immediately,Follow last known heading ignoring moving obstacle updates,Accept spoofed GNSS fix to maintain position estimate,"[""Rely solely on GNSS and continue at reduced speed"", ""Switch to encrypted visual-inertial navigation with obstacle tracking"", ""Descend to 10 m AGL and await GNSS signal recovery"", ""Transmit unencrypted telemetry to base for manual control"", ""Disable thermal camera to conserve power immediately"", ""Follow last known heading ignoring moving obstacle updates"", ""Accept spoofed GNSS fix to maintain position estimate""]","B ensures integrity and availability by using encrypted, authenticated sensor fusion to maintain navigation during GNSS outages. It preserves control stability under icing and wind via real-time obstacle tracking. Other options expose the UAV to spoofing, loss of telemetry, or unresponsive control loops." 2025-11-01T18:04:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Search_and_Rescue_in_Dense_Urban_Area_with_Lightning_Risk_bbe542ad8267_mcq.json,uavbench-mcq-v1,Search_and_Rescue_in_Dense_Urban_Area_with_Lightning_Risk,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 415s, UAV has 38% battery, 7.5 m/s wind from 240°, and approaches moving obstacle near waypoint 4.","This is a search and rescue mission in a dense urban environment. The UAV operates within a defined airspace bounded by a polygon geofence, with altitude limits between 5 and 120 meters AGL. Weather conditions include moderate winds from 240 degrees at 7.5 m/s with gusts up to 4.0 m/s and a risk of lightning. The UAV is an amphibious hexacopter equipped with RGB and thermal cameras, LiDAR, GNSS, IMU, and other standard sensors. It carries a 1.2 kg payload and is powered by a 450 Wh battery, reserving 30% for safe return. No-fly zones include a static cylinder near the center and a moving cylinder obstacle that drifts slowly through the area. The UAV must avoid collisions with static and dynamic obstacles while maintaining separation from other air traffic, including a crossing UAV. A GNSS jamming fault occurs at 420 seconds, lasting 30 seconds with 80% severity, coinciding with a comms loss window. The mission follows a grid search pattern across five waypoints, prioritizing coverage within a 600-second time budget. Key constraints include GNSS multipath risks in urban canyons, lightning danger, dynamic no-fly zones, and strict separation requirements.",Climb to 110 m AGL to avoid obstacle and improve comms range,Descend to 10 m AGL to reduce wind exposure and conserve energy,Maintain current altitude and adjust heading to bypass obstacle laterally,Accelerate to 8 m/s to reach waypoint before obstacle drifts into path,Turn back toward base to preserve battery for GNSS/comms fault recovery,Hover for 15 seconds to reassess using LiDAR amid GNSS multipath risk,"Reduce speed to 4 m/s, ascend to 60 m, and reroute around obstacle","[""Climb to 110 m AGL to avoid obstacle and improve comms range"", ""Descend to 10 m AGL to reduce wind exposure and conserve energy"", ""Maintain current altitude and adjust heading to bypass obstacle laterally"", ""Accelerate to 8 m/s to reach waypoint before obstacle drifts into path"", ""Turn back toward base to preserve battery for GNSS/comms fault recovery"", ""Hover for 15 seconds to reassess using LiDAR amid GNSS multipath risk"", ""Reduce speed to 4 m/s, ascend to 60 m, and reroute around obstacle""]","Reducing speed saves energy while ascending to 60 m balances obstacle clearance, wind resilience, and aerodynamic stability. This reroute avoids the moving cylinder, preserves battery for the upcoming 30s GNSS/comms fault, and maintains safe separation without compromising coverage or flight control in turbulent urban airflow." 2025-11-01T18:04:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Search_and_Rescue_in_Dusty_Wind_Farm_7aeaca3beec0_mcq.json,uavbench-mcq-v1,Search_and_Rescue_in_Dusty_Wind_Farm,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,E,False,"At 110 m AGL, UAV detects moving obstacle at 30 m distance, northeast drift. Complete grid in 580 s. What action minimizes risk?","This is a search and rescue mission in a wind farm environment with poor visibility due to dust. The UAV operates within a 500x500 meter airspace, with altitude limits between 10 and 120 meters AGL. Winds are moderate at 8 m/s from 240 degrees, with gusts up to 4 m/s, and dust reduces visibility. A heavy-lift octocopter with a 5 kg payload carries RGB and thermal cameras, supported by GNSS, IMU, and LiDAR. The UAV must avoid a static no-fly zone around a turbine at the center and a moving no-fly zone drifting northeast. A second UAV and a moving spherical obstacle add dynamic collision risks. Separation minima are enforced at 25 meters and 20 seconds time-to-closest approach. GNSS multipath may occur near turbines, and visual navigation is impaired by dust. The mission requires completing a grid search pattern within 600 seconds and returning safely to the preferred landing site.",Descend to 15 m AGL and continue grid,"Climb to 120 m AGL, hold until obstacle passes","Divert east, fly parallel to obstacle path",Accelerate to bypass obstacle in 15 seconds,Descend to 80 m AGL and shift grid west,Land immediately at nearest safe zone,"Maintain course and altitude, rely on LiDAR","[""Descend to 15 m AGL and continue grid"", ""Climb to 120 m AGL, hold until obstacle passes"", ""Divert east, fly parallel to obstacle path"", ""Accelerate to bypass obstacle in 15 seconds"", ""Descend to 80 m AGL and shift grid west"", ""Land immediately at nearest safe zone"", ""Maintain course and altitude, rely on LiDAR""]","Descending to 80 m AGL stays within altitude limits and reduces dust/visibility impact while increasing separation from the moving obstacle. Shifting the grid west avoids the obstacle’s drift path and the central turbine NFZ, maintaining 25 m separation and 20 s time-to-closest approach. Other options either violate clearance, increase multipath risk near turbines, or jeopardize mission completion time." 2025-11-01T18:04:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Search_and_Rescue_at_Bridge_Site_under_Icing_Conditions_e76cce1b8aba_mcq.json,uavbench-mcq-v1,Search_and_Rescue_at_Bridge_Site_under_Icing_Conditions,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"At 180s, icing degrades performance; UAV must reroute around a drifting sphere while avoiding a 10–60m NFZ and preserving 30% battery.","This is a search and rescue mission conducted near a bridge site in poor visibility with icing conditions present. The UAV operates within a defined rectangular airspace from 10 to 120 meters AGL, bounded by a polygonal geofence. Weather includes moderate winds from 240 degrees at 6 m/s with gusts up to 3.5 m/s, increasing flight challenges. An octocopter UAV equipped with RGB and thermal cameras is used, carrying a 1.2 kg payload optimized for visual detection. The UAV relies on battery power with a 450 Wh capacity and reserves 30% for safe return. A no-fly zone cylinder is active near the center of the area, restricting access between 10 and 60 meters altitude. The mission must be completed within 600 seconds, following a corridor search pattern through five waypoints. A second UAV enters the airspace from outside, traveling westward, requiring separation maintenance of at least 25 meters or 15 seconds time to closest approach. An icing fault event occurs at 180 seconds, degrading performance for two minutes, while a moving spherical obstacle drifts southwest, adding dynamic collision risk.","Climb to 110m, arc northeast, delay W3 by 40s","Descend to 8m, cross NFZ center, target W3 on time","Hold at W2, resume after icing, accept 55s delay","Fly direct at 120m, ignore second UAV proximity","Drop to 55m, skirt NFZ west, cut through gust zone","Bank 45°, dive under sphere, recover at 12m AGL","Deviate 30m east at 105m, adjust speed, reach W3 within 15s delay","[""Climb to 110m, arc northeast, delay W3 by 40s"", ""Descend to 8m, cross NFZ center, target W3 on time"", ""Hold at W2, resume after icing, accept 55s delay"", ""Fly direct at 120m, ignore second UAV proximity"", ""Drop to 55m, skirt NFZ west, cut through gust zone"", ""Bank 45°, dive under sphere, recover at 12m AGL"", ""Deviate 30m east at 105m, adjust speed, reach W3 within 15s delay""]",Option G maintains 10–120m AGL and avoids the 10–60m NFZ while adding minimal distance. It accounts for dynamic obstacle drift and preserves separation from the westbound UAV. The 15s delay is acceptable within the 600s mission and respects battery reserve after rerouting. 2025-11-01T18:04:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Satellite_Link_Relay_at_Airport_Perimeter_in_Hail_fd25118d038d_mcq.json,uavbench-mcq-v1,Satellite_Link_Relay_at_Airport_Perimeter_in_Hail,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"At 120m AGL, icing and GNSS jamming occur; wind increases with altitude. Which action preserves mission endurance and safety?","VTOL tiltrotor UAV conducts a satellite link relay mission near an airport perimeter. Operating altitude ranges from 30 to 150 meters AGL within a defined polygonal geofence. Weather includes hail, icing conditions, poor visibility, and strong gusting winds increasing with altitude. The UAV is equipped with radar, RGB camera, and GNSS/IMU sensors, but faces GNSS multipath and jamming. A static no-fly zone and a moving no-fly cylinder require dynamic avoidance. Swarm operations involve three UAVs maintaining minimum 20-meter separation. The mission follows a corridor pattern with time-critical constraints and requires runway access. Icing and GNSS jamming faults occur mid-mission, impacting navigation and performance. Wind from the west increases with height, creating challenging flight dynamics. Thermal updrafts near the perimeter offer minor lift but are secondary to hazard avoidance.",Climb to 150m for stronger satellite signal,Descend to 30m to reduce icing and wind load,Hover at current altitude for signal reacquisition,Increase rotor RPM to counteract gust instability,Activate full RGB and radar scanning mode,Extend flight path to gain thermal updrafts,Transmit all data at maximum bandwidth,"[""Climb to 150m for stronger satellite signal"", ""Descend to 30m to reduce icing and wind load"", ""Hover at current altitude for signal reacquisition"", ""Increase rotor RPM to counteract gust instability"", ""Activate full RGB and radar scanning mode"", ""Extend flight path to gain thermal updrafts"", ""Transmit all data at maximum bandwidth""]","Descending reduces exposure to icing, wind-induced power spikes, and tiltrotor instability, conserving battery. Lower altitude improves GNSS multipath resilience and maintains corridor timing. This balances energy use, safety, and mission continuity under sensor faults." 2025-11-01T18:04:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Search_and_Rescue_in_Suburban_Hail_Conditions_6035e3538f16_mcq.json,uavbench-mcq-v1,Search_and_Rescue_in_Suburban_Hail_Conditions,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"At 210s, icing degrades UAV performance for 60s; another UAV passes within 25m at 215s from 240°. What action maintains safety and mission integrity?","This is a search and rescue mission conducted in suburban airspace using an octocopter UAV equipped with RGB and thermal cameras, LiDAR, and full suite navigation sensors. The UAV operates within a 300m x 300m geofenced area, with altitude limits between 10m and 120m AGL. A static no-fly zone is present at the center of the area, and a second dynamic no-fly zone moves through the airspace during the mission. Weather conditions include strong 8 m/s winds from 240 degrees, gusts up to 4 m/s, and active hail, resulting in poor visibility. The UAV must manage reduced battery efficiency due to hail and an icing event that occurs at 200 seconds, degrading performance for one minute. A single other UAV is present, flying through the airspace on a fixed trajectory, requiring separation maintenance of at least 25 meters. The mission follows a spiral search pattern through five waypoints, prioritizing coverage within a 600-second time budget. GNSS multipath effects and a 10-second comms downlink outage introduce additional navigation and communication challenges. The UAV must return safely to its preferred landing site while avoiding obstacles, terrain, and airspace violations.",Climb to 120m to avoid icing and UAV traffic,Hold position at current altitude until icing clears,Descend to 10m to reduce wind and icing impact,Shift left 50m laterally to increase separation margin,Accelerate through spiral to regain time loss,Transmit hold request to other UAV via relay,"Follow original spiral, relying on LiDAR for avoidance","[""Climb to 120m to avoid icing and UAV traffic"", ""Hold position at current altitude until icing clears"", ""Descend to 10m to reduce wind and icing impact"", ""Shift left 50m laterally to increase separation margin"", ""Accelerate through spiral to regain time loss"", ""Transmit hold request to other UAV via relay"", ""Follow original spiral, relying on LiDAR for avoidance""]","Lateral shift increases separation margin without violating altitude bounds or extending time outside the spiral. It avoids compounding risks from icing, wind, and close proximity while preserving coverage. Other options either breach operational limits, increase exposure, or assume unreliable comms." 2025-11-01T18:04:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Search_and_Rescue_in_Wind_Farm_under_Icing_Conditions_b7a8b783ce7c_mcq.json,uavbench-mcq-v1,Search_and_Rescue_in_Wind_Farm_under_Icing_Conditions,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"At 180s, icing increases power draw for 60s. Which action preserves battery for 600s mission?","This is a search and rescue mission conducted within an offshore wind farm. The UAV operates in a constrained airspace between 10 and 120 meters AGL, bounded by a polygonal geofence. Weather conditions include strong winds up to 13.5 m/s at higher altitudes, poor visibility, and icing conditions that affect performance. A heavy-lift octocopter with RGB and thermal cameras, LiDAR, and full navigation sensors is used to locate targets and withstand payload and environmental demands. The UAV must avoid both static and moving no-fly zones, including a dynamic cylinder shifting across the area. Additional hazards include GNSS multipath, electromagnetic interference, and brief communication downlink losses between 400 and 430 seconds. A critical icing event occurs at 180 seconds, reducing efficiency for one minute and increasing power draw. Air traffic and a moving spherical obstacle require strict separation, with a minimum safe distance of 25 meters and a time-to-collision threshold of 20 seconds. The mission must be completed within 600 seconds while managing battery reserves and returning safely to the designated landing zone.",Increase speed to minimize icing exposure,Descend to reduce wind resistance and power use,Disable LiDAR to cut power and extend endurance,Circle at current altitude to assess conditions,Climb for better GNSS signal and routing,Stream all sensor data at full bandwidth,Hover to wait out the icing event,"[""Increase speed to minimize icing exposure"", ""Descend to reduce wind resistance and power use"", ""Disable LiDAR to cut power and extend endurance"", ""Circle at current altitude to assess conditions"", ""Climb for better GNSS signal and routing"", ""Stream all sensor data at full bandwidth"", ""Hover to wait out the icing event""]","Disabling non-critical LiDAR reduces power consumption during high-draw icing, preserving battery. Mission-critical RGB/thermal suffice for search. This balances sensor use and endurance without compromising safety or return." 2025-11-01T18:04:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Search_and_Rescue_in_Warehouse_with_Hail_a5e5adb1037e_mcq.json,uavbench-mcq-v1,Search_and_Rescue_in_Warehouse_with_Hail,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 310s, GNSS fails; wind is 6 m/s from 270°. Which navigation strategy maintains accuracy within DAA thresholds?","This is a search and rescue mission inside a warehouse using a solar-wing UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The indoor airspace spans 50m by 40m with an altitude range from 1.0m to 15.0m AGL. A cylindrical no-fly zone is centered at (25m, 20m) with a 5m radius and vertical limits from 1.0m to 8.0m. The UAV starts at (5m, 5m, 3m) and must complete a grid search pattern within 600 seconds. Weather includes 6 m/s winds from 270°, gusts up to 3 m/s, poor visibility, and hail, though the indoor environment may partially shield external conditions. The UAV has a battery capacity of 1200 Wh and a reserve fraction of 30%, limiting usable energy. A GNSS jamming fault occurs at 300 seconds, lasting 45 seconds with high severity, challenging navigation. The mission requires maintaining separation from obstacles and avoiding geofence breaches, with DAA thresholds set at 10m and 5 seconds. The UAV transitions between VTOL and forward flight, requiring runway-like space despite indoor operation. Primary success metrics include mission completion, battery level, and fault tolerance during GNSS outage.",Switch to LiDAR-only SLAM with 10 Hz update for obstacle avoidance,Rely solely on pre-fault GNSS and IMU dead reckoning for 45s,Fuse IMU with thermal-optical flow using 5m visibility for drift correction,Use RGB camera at 30 Hz to track grid pattern despite poor lighting,Hold position with VTOL using barometer and magnetometer alignment,Navigate via solar-wing glide slope assuming steady 6 m/s tailwind,Trust LiDAR ground returns through hail-induced multipath noise,"[""Switch to LiDAR-only SLAM with 10 Hz update for obstacle avoidance"", ""Rely solely on pre-fault GNSS and IMU dead reckoning for 45s"", ""Fuse IMU with thermal-optical flow using 5m visibility for drift correction"", ""Use RGB camera at 30 Hz to track grid pattern despite poor lighting"", ""Hold position with VTOL using barometer and magnetometer alignment"", ""Navigate via solar-wing glide slope assuming steady 6 m/s tailwind"", ""Trust LiDAR ground returns through hail-induced multipath noise""]","During GNSS outage, fusing IMU with thermal-optical flow leverages available visibility and thermal contrast for drift-limited position updates. This maintains DAA separation by correcting IMU bias growth using cross-modal flow data. Other methods fail due to occlusion, drift, or environmental noise." 2025-11-01T18:04:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Search_and_Rescue_in_Wind_Farm_with_Thermal_Updrafts_1de3d86ce6b2_mcq.json,uavbench-mcq-v1,Search_and_Rescue_in_Wind_Farm_with_Thermal_Updrafts,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 125 seconds, with RSSI -92 dBm and wind at 6.5 m/s from 240°, which action ensures communication integrity and obstacle avoidance during downlink loss?","This is a search and rescue mission conducted in a wind farm environment. The UAV operates within a defined rectangular airspace bounded between 10 and 120 meters AGL. Weather conditions include a 6.5 m/s wind from 240 degrees, gusts up to 3.2 m/s, and thermal updrafts creating localized vertical air currents. A hexacopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors is used for the mission. The UAV carries a 0.5 kg payload and relies on battery power with a 450 Wh capacity and 30% reserve. Notable constraints include a static no-fly zone around a turbine and a moving no-fly zone that drifts slowly across the area. GNSS signals are degraded due to multipath effects and moderate jamming at -85 dBm, compounded by electromagnetic interference. The UAV must maintain separation from a moving obstacle and an intruder UAV while navigating around turbine structures. Communication experiences a brief downlink loss window between 120 and 135 seconds with minimum RSSI at -92 dBm. The mission follows a corridor search pattern across five waypoints within a 600-second time limit.",Ascend to 120 m AGL to maximize line-of-sight range,Halt at current waypoint until GNSS signal improves,Reduce speed by 40% to enhance LiDAR obstacle detection,Transmit compressed thermal data bursts every 10 seconds,Switch to pre-programmed corridor pattern without updates,Descend to 10 m AGL to minimize wind drift and power use,Rely solely on inertial navigation and suspend camera payloads,"[""Ascend to 120 m AGL to maximize line-of-sight range"", ""Halt at current waypoint until GNSS signal improves"", ""Reduce speed by 40% to enhance LiDAR obstacle detection"", ""Transmit compressed thermal data bursts every 10 seconds"", ""Switch to pre-programmed corridor pattern without updates"", ""Descend to 10 m AGL to minimize wind drift and power use"", ""Rely solely on inertial navigation and suspend camera payloads""]","During the 120–135 s downlink loss with minimal RSSI, maintaining a pre-programmed corridor ensures mission continuity without reliance on degraded comms. It preserves inter-agent separation by following a predictable path while avoiding interference-induced deviations. Suspending active tracking (like payload use or data bursts) would reduce system load and prevent navigation errors under GNSS degradation." 2025-11-01T18:04:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Ship_Deck_Delivery_in_Dense_Urban_with_Icing_b886380702da_mcq.json,uavbench-mcq-v1,Ship_Deck_Delivery_in_Dense_Urban_with_Icing,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"At 340s, icing reduces lift and comms drop; UAV is 120m AGL, 800m from runway. What immediate action maximizes safety?","This is a delivery mission using a VTOL tiltrotor UAV in a dense urban airspace. The UAV carries a 1.2 kg payload and is equipped with GNSS, IMU, camera, LIDAR, and other standard sensors. The flight occurs in good visibility but with icing conditions and moderate wind from the west, increasing with altitude. Strong electromagnetic interference and GNSS multipath effects degrade navigation reliability. The urban environment includes static and moving no-fly zones, with a dynamic obstacle drifting through the airspace. The UAV must follow a predefined corridor pattern, avoiding obstacles and maintaining separation from another UAV. It must also transition between hover and forward flight, requiring careful energy management over the 600-second mission. A runway landing is required at a designated threshold point. Icing events reduce performance midway through the mission, and communication is briefly lost twice. Battery reserve is constrained, and operations are limited to 5–120 meters AGL within a defined geofence.",Descend to 30m AGL to reduce wind exposure and ice accumulation rate,Divert to alternate landing zone outside geofence to ensure control,Maintain current altitude and speed to stay in predefined corridor,Climb to 150m AGL for clearer GNSS signal and wind stability,Jettison 1.2kg payload to improve glide ratio and reduce stall risk,Continue approach relying on IMU and LIDAR during GNSS outage,Hover in place until comms restore for remote pilot decision,"[""Descend to 30m AGL to reduce wind exposure and ice accumulation rate"", ""Divert to alternate landing zone outside geofence to ensure control"", ""Maintain current altitude and speed to stay in predefined corridor"", ""Climb to 150m AGL for clearer GNSS signal and wind stability"", ""Jettison 1.2kg payload to improve glide ratio and reduce stall risk"", ""Continue approach relying on IMU and LIDAR during GNSS outage"", ""Hover in place until comms restore for remote pilot decision""]","Descending reduces altitude risk and environmental exposure while staying within operational limits. It prioritizes controlled descent over mission completion. Other options violate geofence, increase collision risk, or endanger public safety." 2025-11-01T18:04:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Search_and_Rescue_in_Volcanic_Zone_with_Gusts_80ce8c02725f_mcq.json,uavbench-mcq-v1,Search_and_Rescue_in_Volcanic_Zone_with_Gusts,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"With 10-minute endurance, 13 m/s winds, and a 45-second GNSS outage, which strategy maximizes search coverage while ensuring return?","Search and rescue mission in a volcanic zone with poor visibility and ash clouds. Flight occurs within a defined polygon airspace with a minimum altitude of 50 m AGL and a maximum of 300 m. Strong winds up to 13 m/s increase with altitude, shifting direction from 240° to 270°. An octocopter UAV carries RGB and thermal cameras, plus LiDAR, for payload-intensive operations. GNSS signals suffer from multipath and jamming at -65 dBm, with a simulated 45-second GNSS outage. A static no-fly zone blocks access near coordinates (500, 400), and a moving no-fly zone drifts southwest. Thermal updrafts of 3.2 m/s near (350, 620) may affect flight stability. Another UAV and a moving spherical obstacle create dynamic collision risks. IMU bias fault and communication dropouts occur during critical mission phases. Battery endurance is limited, requiring efficient routing within the 10-minute time budget.",Climb to 300 m for better visibility and comms range,Fly at 50 m AGL to minimize wind exposure and save power,Disable LiDAR to reduce power and extend thermal imaging time,Increase speed to cover more area before battery depletion,"Route through (500, 400) to shorten search path",Maintain full payload and circular search for maximum data,"Hover near thermal updraft at 350, 620 to recharge batteries","[""Climb to 300 m for better visibility and comms range"", ""Fly at 50 m AGL to minimize wind exposure and save power"", ""Disable LiDAR to reduce power and extend thermal imaging time"", ""Increase speed to cover more area before battery depletion"", ""Route through (500, 400) to shorten search path"", ""Maintain full payload and circular search for maximum data"", ""Hover near thermal updraft at 350, 620 to recharge batteries""]","Disabling LiDAR reduces power draw, preserving battery for critical thermal imaging and flight stability during GNSS outages. Flying low and managing payload extends endurance within the 10-minute limit while avoiding strong winds at higher altitudes. Other options increase energy use, violate airspace, or rely on non-existent energy sources." 2025-11-01T18:04:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Ship_Deck_Delivery_in_Hail_with_Convertiplane_392c4019e655_mcq.json,uavbench-mcq-v1,Ship_Deck_Delivery_in_Hail_with_Convertiplane,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"Given 15 m/s winds, 2 kg payload, and icing at 200 s, what action maintains lift with degraded GNSS and EM interference?","This is a delivery mission using a convertiplane UAV in a powerline corridor airspace. The UAV is equipped with a 2 kg payload and carries sensors including GNSS, radar, lidar, and RGB camera. Weather conditions include strong winds up to 15 m/s with gusts, poor visibility, and active hail. The flight occurs between 5 and 120 meters AGL within a defined polygon geofence. A static no-fly zone and a moving no-fly zone challenge navigation, along with a dynamic moving obstacle. The UAV must maintain separation of at least 25 meters from other traffic, with DAA monitoring active. GNSS signals are degraded due to multipath and moderate jamming, and electromagnetic interference is present. The mission includes an icing event fault at 200 seconds, reducing performance for one minute. The UAV must complete the delivery within 600 seconds, follow a corridor pattern, and use a runway for takeoff and landing.",Increase angle of attack to 18° for higher lift coefficient,Reduce airspeed to 12 m/s to minimize gust response,Bank 45° to avoid moving obstacle quickly,Descend to 3 m AGL to escape wind shear,Pitch down 5° to reduce drag during icing,Hold level flight at 15 m/s with 10° AoA,Climb at 2 m/s vertical speed using full rotor thrust,"[""Increase angle of attack to 18° for higher lift coefficient"", ""Reduce airspeed to 12 m/s to minimize gust response"", ""Bank 45° to avoid moving obstacle quickly"", ""Descend to 3 m AGL to escape wind shear"", ""Pitch down 5° to reduce drag during icing"", ""Hold level flight at 15 m/s with 10° AoA"", ""Climb at 2 m/s vertical speed using full rotor thrust""]","At 15 m/s wind and icing, 10° AoA balances lift and avoids stall margin erosion. Full rotor thrust or high bank angles increase load factor beyond critical lift capacity under reduced aerodynamic efficiency. Maintaining 15 m/s ensures adequate Reynolds number for control surface effectiveness despite degraded GNSS and EM interference." 2025-11-01T18:04:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Ship_Deck_Delivery_in_Urban_Canyon_with_Sandstorm_0344e30680dc_mcq.json,uavbench-mcq-v1,Ship_Deck_Delivery_in_Urban_Canyon_with_Sandstorm,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Given 1.2 kg payload, 14 m/s winds, and -85 dBm jamming, which strategy maximizes delivery success within battery limits?","This is a delivery mission using a convertiplane UAV in an urban canyon environment. The UAV operates within a defined airspace bounded by a polygonal geofence, with altitude limits between 5 and 120 meters AGL. Strong winds up to 14 m/s increase with altitude and shift direction, compounded by a sandstorm reducing visibility and creating challenging flight conditions. The UAV is equipped with a battery-powered propulsion system, carries a 1.2 kg payload, and relies on GNSS, IMU, lidar, and camera sensors for navigation. Significant environmental constraints include GNSS multipath, electromagnetic interference, and moderate GNSS jamming at -85 dBm. A static no-fly zone is present near the center of the area, and a dynamic no-fly zone moves through the airspace, requiring real-time avoidance. The UAV must follow a corridor flight pattern through three waypoints and perform a runway-assisted landing at the designated threshold. Air traffic includes another UAV flying across the path, and a moving spherical obstacle drifts through the route. Communication experiences brief uplink/downlink outages, and the UAV must maintain separation of at least 25 meters from other traffic with a time-to-closest-approach threshold of 30 seconds.",Climb to 120 m for clearer GNSS and stronger signals,Fly direct at 60 m AGL to minimize flight time,"Descend to 10 m AGL, reduce speed, and use lidar-only navigation",Hover for 90 seconds to buffer GNSS before proceeding,Increase propulsion power by 25% to counteract wind faster,Offload payload sensor processing to ground station via high-bandwidth link,"Follow corridor at 40 m AGL, adjust heading for wind drift, and throttle efficiently","[""Climb to 120 m for clearer GNSS and stronger signals"", ""Fly direct at 60 m AGL to minimize flight time"", ""Descend to 10 m AGL, reduce speed, and use lidar-only navigation"", ""Hover for 90 seconds to buffer GNSS before proceeding"", ""Increase propulsion power by 25% to counteract wind faster"", ""Offload payload sensor processing to ground station via high-bandwidth link"", ""Follow corridor at 40 m AGL, adjust heading for wind drift, and throttle efficiently""]","Operating at 40 m balances wind exposure and sensor reliability while minimizing energy use. Adaptive heading and throttle control preserve battery under variable wind and jamming. This ensures timely waypoint traversal, obstacle avoidance, and landing within power and communication constraints." 2025-11-01T18:04:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Ship_Deck_Delivery_in_Jungle_Sandstorm_531497be6070_mcq.json,uavbench-mcq-v1,Ship_Deck_Delivery_in_Jungle_Sandstorm,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 110m AGL, 14 m/s winds, and 30% battery, a moving no-fly zone approaches; another UAV is 1.2km ahead on collision course. What action prioritizes safety and mission?","This is a delivery mission using a convertiplane UAV in a jungle environment with a sandstorm and poor visibility. The UAV operates within a defined airspace from 5 to 120 meters AGL, bounded by a polygonal geofence. Strong winds up to 14 m/s increase with altitude and shift direction, while a dynamic moving obstacle and thermal updrafts affect flight stability. The UAV carries a 1.2 kg payload and is equipped with GNSS, IMU, lidar, and RGB camera, but faces GNSS multipath, jamming, and electromagnetic interference. A no-fly zone is present near the center of the area, and another moves slowly through the airspace. The mission requires navigating a corridor of four waypoints and landing precisely on a runway at the far end. Communication suffers from intermittent uplink loss, limiting remote control input. Traffic includes another UAV approaching head-on, requiring separation management. Battery endurance is critical, with only 450 Wh capacity and high power draw in windy, turbulent conditions.",Descend to 30m AGL to avoid wind and save power,Continue at 110m AGL to maintain GNSS signal,Climb to 130m AGL for clearer line-of-sight,Abort mission and land immediately in jungle,Turn 45° right to bypass no-fly zone illegally,Transmit emergency alert and hold position at 110m,"Adjust route laterally within geofence to 80m AGL,避让 no-fly zone and head-on UAV","[""Descend to 30m AGL to avoid wind and save power"", ""Continue at 110m AGL to maintain GNSS signal"", ""Climb to 130m AGL for clearer line-of-sight"", ""Abort mission and land immediately in jungle"", ""Turn 45° right to bypass no-fly zone illegally"", ""Transmit emergency alert and hold position at 110m"", ""Adjust route laterally within geofence to 80m AGL,避让 no-fly zone and head-on UAV""]","G respects geofence, avoids dynamic no-fly zone and collision, and balances altitude for control and power. It maintains lawful, safe flight within operational limits while deconflicting traffic. Other options risk collision, violate airspace, or endanger remote area integrity without justification." 2025-11-01T18:04:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Ship_Deck_Delivery_in_Harbor_with_Lightning_Risk_89c90d713429_mcq.json,uavbench-mcq-v1,Ship_Deck_Delivery_in_Harbor_with_Lightning_Risk,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 300 seconds, GNSS degrades and a dynamic NFZ approaches. Wind is 15 m/s from southwest. What should the UAV do immediately?","This is a delivery mission using a hexacopter UAV in a harbor environment. The UAV carries a 1.0 kg payload and is equipped with RGB camera, GNSS, IMU, magnetometer, and barometer sensors. Operations occur between 5 and 120 meters AGL within a defined polygonal geofence. A static no-fly zone blocks the center area, and a dynamic no-fly zone moves through the airspace. The mission must contend with strong winds from the southwest and a risk of lightning. A second UAV and a stationary spherical obstacle introduce collision hazards. The hexacopter must maintain separation of at least 25 meters to avoid DAA breaches. GNSS jamming occurs mid-mission for 45 seconds, with comms degradation between 280 and 325 seconds. Battery capacity is limited, requiring efficient routing to complete the mission within 600 seconds. The landing site is on a ship deck, with an emergency alternative available nearby.",Climb to 120 m AGL to avoid dynamic NFZ,Descend to 25 m AGL and proceed direct,Hold position at 60 m AGL until NFZ passes,"Divert east, descend to 40 m AGL, and slow",Accelerate west to exit NFZ before 310 s,Land immediately on ship deck,"Turn north, maintain 80 m AGL, await comms","[""Climb to 120 m AGL to avoid dynamic NFZ"", ""Descend to 25 m AGL and proceed direct"", ""Hold position at 60 m AGL until NFZ passes"", ""Divert east, descend to 40 m AGL, and slow"", ""Accelerate west to exit NFZ before 310 s"", ""Land immediately on ship deck"", ""Turn north, maintain 80 m AGL, await comms""]","Diverting east avoids the dynamic NFZ and reduces wind exposure from the southwest. Descending to 40 m AGL balances obstacle clearance and reduced wind effects while conserving energy. Other options violate separation, waste battery, or risk GNSS/comms degradation during critical phases." 2025-11-01T18:04:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Ship_Deck_Delivery_under_Microburst_Risk_aaca5577b03f_mcq.json,uavbench-mcq-v1,Ship_Deck_Delivery_under_Microburst_Risk,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Given 1.2 kg payload, 10-min flight time, and 30% battery reserve, which strategy maximizes delivery success under wind and NFZ constraints?","This is a delivery mission using a hexacopter UAV equipped with RGB camera, lidar, and standard navigation sensors. The operation takes place within a defined industrial plant airspace, bounded by a polygonal geofence and featuring both static and moving no-fly zones. The UAV must deliver a 1.2 kg payload along a corridor-style route with three waypoints while avoiding obstacles and traffic. Weather conditions include moderate wind from 240 degrees at 8.5 m/s with gusts up to 4.2 m/s and a risk of microbursts, posing sudden wind shear threats. The UAV operates between 5 and 120 meters AGL, with a critical NFZ cylinder near the center and a second dynamic NFZ drifting northwest. A second UAV enters the airspace from the east, requiring separation maintenance of at least 25 meters or 5 seconds time-to-closest-approach. Communication experiences two brief downlink/uplink loss windows, potentially affecting control and monitoring. GNSS signals may suffer multipath interference due to the industrial environment, challenging positioning accuracy. Battery endurance is limited, with a reserve fraction of 30% and a time budget of 10 minutes. The mission emphasizes safe navigation under wind risk, strict geofencing, and reliable detect-and-avoid performance.",Fly direct path at max speed to minimize exposure,Reduce camera frame rate to save power and extend range,Climb to 120 m for better GNSS signal and visibility,Hover 2 minutes to wait out microburst risk,Follow geofence edge using lidar-only to avoid GNSS multipath,Descend to 5 m AGL to reduce wind resistance and power use,Increase communication polling to 10 Hz for traffic updates,"[""Fly direct path at max speed to minimize exposure"", ""Reduce camera frame rate to save power and extend range"", ""Climb to 120 m for better GNSS signal and visibility"", ""Hover 2 minutes to wait out microburst risk"", ""Follow geofence edge using lidar-only to avoid GNSS multipath"", ""Descend to 5 m AGL to reduce wind resistance and power use"", ""Increase communication polling to 10 Hz for traffic updates""]","Reducing camera frame rate lowers power consumption, preserving battery for critical navigation and wind compensation. It balances sensor utility with energy constraints, enabling timely waypoint progression within the 10-minute budget. Other options either increase energy use or unnecessarily extend flight time." 2025-11-01T18:04:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Ship_Deck_Delivery_in_Volcanic_Zone_with_Microburst_Risk_cc65e264a5de_mcq.json,uavbench-mcq-v1,Ship_Deck_Delivery_in_Volcanic_Zone_with_Microburst_Risk,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,Which route avoids the dynamic NFZ and microburst at 100m while staying between 5–120m AGL with 15.5 m/s winds?,"This is a delivery mission using a convertiplane UAV in a volcanic zone with poor visibility and microburst risk. The operation takes place within a defined polygon airspace, bounded between 5 and 120 meters AGL. Winds increase with altitude, reaching 15.5 m/s at 100 meters, with shifting direction and strong gusts. The UAV carries a 2 kg payload and is equipped with GNSS, IMU, lidar, and RGB camera but faces GNSS multipath, jamming, and electromagnetic interference. A static no-fly zone and a moving dynamic no-fly zone require careful path planning. The UAV must follow a corridor pattern through four waypoints and land on a designated runway. A traffic UAV and a moving spherical obstacle add complexity to navigation. A microburst event and GNSS jamming fault are scheduled during flight, challenging stability and positioning. Strict separation thresholds and communication loss windows further constrain safe and successful mission completion.",Climb to 120m immediately for faster transit,"Fly direct at 110m, ignoring wind gusts","Descend to 8m AGL, follow terrain with lidar",Hover until dynamic NFZ passes waypoint 2,"Reroute east at 95m, delay waypoint 3 by 45s","Maintain 60m AGL, adaptive corridor tracking",Ascend to 100m during GNSS jamming for stability,"[""Climb to 120m immediately for faster transit"", ""Fly direct at 110m, ignoring wind gusts"", ""Descend to 8m AGL, follow terrain with lidar"", ""Hover until dynamic NFZ passes waypoint 2"", ""Reroute east at 95m, delay waypoint 3 by 45s"", ""Maintain 60m AGL, adaptive corridor tracking"", ""Ascend to 100m during GNSS jamming for stability""]","Maintaining 60m AGL balances wind exposure and terrain clearance while enabling lidar-assisted navigation during GNSS outages. This altitude avoids peak winds at 100m and microburst effects, supports adaptive corridor tracking around the moving obstacle, and ensures safe separation from the static and dynamic NFZs. Other options violate altitude limits, increase risk during jamming, or inefficiently delay mission timing." 2025-11-01T18:04:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Snowfall_Reconnaissance_with_Swarm_Drones_1caa95caa571_mcq.json,uavbench-mcq-v1,Snowfall_Reconnaissance_with_Swarm_Drones,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,Which path adjusts for wind from 240° and avoids both 50m static and 30m moving NFZs during corridor search with 7.5 m/s winds?,"This is a search and rescue mission using a swarm of four battery-powered drones in rural airspace. The drones operate within a defined 800m x 600m geofenced area, with a flight altitude between 10m and 120m AGL. The environment features snowfall and icing conditions, with poor visibility, 7.5 m/s winds from 240 degrees, and gusts up to 4.2 m/s. Each drone is a hexarotor equipped with GNSS, IMU, lidar, RGB and thermal cameras, and a 0.4 kg payload. A static no-fly zone (50m radius cylinder) and a moving no-fly zone (30m radius, drifting at 1.8 m/s) must be avoided. The swarm must maintain a minimum 10m separation between drones and comply with a 25m separation threshold from other traffic. The mission includes a corridor search pattern across five waypoints within a 600-second time limit. An icing fault event occurs at 200 seconds, lasting one minute with moderate severity, impacting performance. Communication experiences two brief downlink loss windows, and the drones must return safely using designated landing zones.","Fly direct at 10m AGL, ignore gusts, maintain 120m separation","Descend to 8m AGL to reduce wind impact, bypass static NFZ west","Reroute east, hold 15m separation, ascend to 110m AGL","Delay waypoint transition by 40s, fly 125m AGL through moving NFZ","Follow corridor at 115m AGL, adjust heading to 255° for drift compensation","Cut between NFZs at 90m AGL, accept 8m drone separation","Abort search, descend immediately to nearest landing zone","[""Fly direct at 10m AGL, ignore gusts, maintain 120m separation"", ""Descend to 8m AGL to reduce wind impact, bypass static NFZ west"", ""Reroute east, hold 15m separation, ascend to 110m AGL"", ""Delay waypoint transition by 40s, fly 125m AGL through moving NFZ"", ""Follow corridor at 115m AGL, adjust heading to 255° for drift compensation"", ""Cut between NFZs at 90m AGL, accept 8m drone separation"", ""Abort search, descend immediately to nearest landing zone""]","Maintains safe altitude within 10–120m AGL band and compensates for 1.8 m/s moving NFZ drift and 7.5 m/s crosswind by adjusting heading. Ensures corridor coverage within 600s while preserving 10m inter-drone separation and avoiding both NFZs. Other options violate NFZs, altitude limits, separation, or mission continuity." 2025-11-01T18:04:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Snowfall_Inspection_at_Wind_Farm_b57f213f74a7_mcq.json,uavbench-mcq-v1,Snowfall_Inspection_at_Wind_Farm,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 100 m AGL with 14.5 m/s wind, moderate snow, and GNSS jamming at 255 s, which navigation strategy maintains integrity?","This UAV mission involves inspecting a wind farm using a convertiplane UAV equipped with RGB and thermal cameras, LiDAR, and full GNSS/IMU suite. The operation takes place within a predefined polygonal airspace bounded from 10 to 120 meters AGL, featuring a static no-fly zone around a central turbine and a moving obstacle near the southern boundary. Weather conditions include moderate snowfall, poor visibility, icing risk, and increasing wind speeds with altitude, reaching 14.5 m/s at 100 m. The UAV must follow a corridor inspection pattern across five waypoints while avoiding dynamic and static restricted zones. A second moving NFZ drifts slowly through the area, requiring real-time path adjustments. The convertiplane must maintain runway alignment for landing, with a preferred site at the southeast corner and an emergency zone in the northwest. Icing is expected at 210 seconds into the mission, degrading aerodynamic performance for 45 seconds, followed by a 30-second GNSS jamming event. Communication dropouts occur twice during the flight, each lasting 15–30 seconds, challenging command and control. The UAV operates as part of a four-drone swarm with role-based coordination and a minimum 15-meter inter-UAV separation. GNSS multipath effects and electromagnetic interference further challenge navigation, requiring sensor fusion and robust DAA logic to maintain safe separation from traffic and obstacles.",Rely solely on GNSS with RTK correction during jamming,Switch to pure IMU dead reckoning for entire 30-second outage,Fuse LiDAR-SLAM with visual odometry and attitude-corrected inertial data,Descend immediately to 10 m to avoid wind and icing effects,Use magnetic heading and barometric altitude during GNSS loss,Trust last known GNSS position with predictive Doppler extrapolation,Activate emergency thermal-gradient homing to southeast site,"[""Rely solely on GNSS with RTK correction during jamming"", ""Switch to pure IMU dead reckoning for entire 30-second outage"", ""Fuse LiDAR-SLAM with visual odometry and attitude-corrected inertial data"", ""Descend immediately to 10 m to avoid wind and icing effects"", ""Use magnetic heading and barometric altitude during GNSS loss"", ""Trust last known GNSS position with predictive Doppler extrapolation"", ""Activate emergency thermal-gradient homing to southeast site""]","LiDAR-SLAM and visual odometry provide spatial constraints independent of GNSS, while attitude-corrected IMU mitigates wind-induced drift. Sensor fusion reduces cumulative error during jamming and poor visibility. This approach maintains positioning integrity despite snowfall obscuring visuals and GNSS dropout." 2025-11-01T18:04:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SnowyUrbanRecon_Octocopter_6facae60cbc7_mcq.json,uavbench-mcq-v1,SnowyUrbanRecon_Octocopter,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,How should the UAV adapt during the 1-minute icing event with 9.5 m/s winds and GNSS degradation at 100 m AGL?,"This mission involves a reconnaissance flight using an octocopter UAV in a dense urban environment during active snowfall and icing conditions. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, supporting visual and thermal imaging for area survey. Winds are moderate to strong, increasing with altitude from 6.5 m/s at ground level to 9.5 m/s at 100 meters, with gusts up to 3.2 m/s and shifting direction. The flight is constrained to altitudes between 10 and 120 meters AGL within a defined 200x200 meter polygonal geofence. A stationary no-fly zone and a moving no-fly cylinder create dynamic path planning challenges. GNSS signals are degraded due to multipath effects and electromagnetic interference, with a planned GNSS jamming event during the mission. The UAV must also contend with an icing event that reduces performance for one minute. Collision avoidance is critical, with nearby UAV traffic and a moving spherical obstacle in the airspace. Communication dropouts are expected between 350–370 and 520–535 seconds, requiring robust autonomy and sensor fusion for safe navigation.",Climb to 120 m for better signal and full sensor suite operation,"Descend to 10 m, disable LiDAR, and use visual odometry",Hover at 60 m with all sensors active to await GNSS recovery,Increase rotor RPM by 15% to counteract ice-induced drag,Enter figure-8 pattern at 50 m with thermal camera only,Shut down thermal camera and rely on pre-mapped waypoints,Execute return-to-base at maximum speed with sensors off,"[""Climb to 120 m for better signal and full sensor suite operation"", ""Descend to 10 m, disable LiDAR, and use visual odometry"", ""Hover at 60 m with all sensors active to await GNSS recovery"", ""Increase rotor RPM by 15% to counteract ice-induced drag"", ""Enter figure-8 pattern at 50 m with thermal camera only"", ""Shut down thermal camera and rely on pre-mapped waypoints"", ""Execute return-to-base at maximum speed with sensors off""]","Descending to 10 m reduces wind exposure and power demand while visual odometry compensates for GNSS degradation. Disabling LiDAR saves ~45W, preserving battery for critical collision avoidance and mission continuation. This balances safety, energy conservation, and minimal mission disruption under icing and sensor constraints." 2025-11-01T18:04:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_BatteryEmergency_Forest_Landing_caf616e716a2_mcq.json,uavbench-mcq-v1,SolarWing_BatteryEmergency_Forest_Landing,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 420s, with 60s comms loss and critical battery, which action balances energy, wind drift, and no-fly zone separation at 120m max altitude?","This scenario involves a battery emergency forced landing mission for a solar-powered fixed-wing UAV in a forested environment. The UAV operates within a defined airspace bounded by a polygonal geofence, with a maximum altitude of 120 meters AGL and a minimum safe altitude of 5 meters. A cylindrical no-fly zone of 20-meter radius and 40-meter ceiling is located near the center of the operational area. Weather conditions include a 5 m/s wind from 135 degrees with moderate gusts of 3 m/s, but visibility is good and no adverse weather phenomena are present. The UAV is equipped with a battery-powered propulsion system, carries a 0.3 kg payload, and is fitted with GNSS, IMU, camera, LIDAR, and other standard sensors. Notable constraints include maintaining separation from the no-fly zone and adhering to altitude limits, with a dynamic geofence enforcement in place. The mission begins with the UAV spawning at low altitude and must reach one of two designated emergency landing sites due to a critical battery state. At 420 seconds into the flight, a 60-second lost communication link fault is introduced, challenging the UAV's autonomy. The UAV must complete its emergency landing within a 600-second time budget without requiring a runway. Key performance metrics include final battery level, minimum separation from obstacles, geofence compliance, and mission success.",Climb to 120m for wind clearance and glide path,Descend to 5m to minimize wind exposure and drag,Turn 180° and fly downwind to save thrust energy,Maintain current altitude and course for stability,Dive at 8 m/s to land before comms fault ends,Circle at 45m altitude to conserve energy and assess,"Adjust heading 20° into wind, reduce throttle to 40%","[""Climb to 120m for wind clearance and glide path"", ""Descend to 5m to minimize wind exposure and drag"", ""Turn 180° and fly downwind to save thrust energy"", ""Maintain current altitude and course for stability"", ""Dive at 8 m/s to land before comms fault ends"", ""Circle at 45m altitude to conserve energy and assess"", ""Adjust heading 20° into wind, reduce throttle to 40%""]","Flying into the wind reduces groundspeed and energy use during approach while maintaining control authority. At 40% throttle, the UAV conserves battery while countering 5 m/s wind and 3 m/s gusts. This balances aerodynamic efficiency, navigation precision, energy sustainability, and obstacle separation under communication loss, ensuring safe landing within 600 seconds." 2025-11-01T18:04:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_BridgeInspection_Forest_Hot_c684fa5b4625_mcq.json,uavbench-mcq-v1,SolarWing_BridgeInspection_Forest_Hot,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 110 m AGL, wind from 245° at 10 m/s with 4 m/s gusts, what adjustment maintains lift-to-drag ratio and avoids stall?","SolarWing UAV conducts a bridge inspection mission in a forested area under hot conditions with moderate wind. The UAV is a solar-powered fixed-wing with RGB and thermal cameras plus LiDAR payload. It operates within a defined corridor between 10–120 meters AGL, following a series of waypoints. The airspace includes a static no-fly zone near the center and a moving no-fly cylinder drifting northwest. A second UAV and a moving spherical obstacle create dynamic hazards requiring separation. Wind increases with altitude, reaching 10 m/s at 100 m, and comes from 240–250 degrees with gusts up to 4 m/s. Thermal updrafts are present near the bridge, offering potential lift. GNSS signals suffer from multipath and moderate jamming, while electromagnetic interference may affect systems. The mission requires runway-assisted takeoff and landing, with comms experiencing brief dropouts. Strict battery reserve and DAA separation rules must be maintained throughout.",Increase airspeed to 18 m/s and reduce angle of attack by 2°,Decrease airspeed to 12 m/s and increase angle of attack by 3°,Maintain current airspeed and deploy full flaps,Pitch up 5° immediately without changing throttle,Reduce throttle 20% and maintain current pitch attitude,Bank 45° into wind while descending to 80 m AGL,Extend speed brakes and increase angle of attack by 4°,"[""Increase airspeed to 18 m/s and reduce angle of attack by 2°"", ""Decrease airspeed to 12 m/s and increase angle of attack by 3°"", ""Maintain current airspeed and deploy full flaps"", ""Pitch up 5° immediately without changing throttle"", ""Reduce throttle 20% and maintain current pitch attitude"", ""Bank 45° into wind while descending to 80 m AGL"", ""Extend speed brakes and increase angle of attack by 4°""]","Higher altitude wind increases apparent airspeed but also gust-induced angle of attack fluctuations. Increasing airspeed improves gust penetration and lowers angle of attack, keeping the wing below critical AoA and optimizing L/D. Other choices risk stall, excessive drag, or loss of control authority due to aerodynamic instabilities." 2025-11-01T18:04:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_BorderPatrol_Industrial_Sandstorm_203ba48d3870_mcq.json,uavbench-mcq-v1,SolarWing_BorderPatrol_Industrial_Sandstorm,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"UAV at 30% battery, 15 m/s winds, sandstorm: proceed to final waypoint or land now?","This is an inspection mission using a fixed-wing solar-powered UAV in an industrial plant airspace. The UAV is equipped with radar, RGB and thermal cameras, and relies on battery power with a 30% reserve requirement. Operations occur under poor visibility due to an active sandstorm, with surface winds at 8.5 m/s and increasing to 15 m/s at higher altitudes. The flight envelope is constrained between 20 m and 150 m AGL within a defined polygonal geofence. Two cylindrical no-fly zones block parts of the airspace near critical infrastructure. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV entering the area. GNSS signals are degraded by multipath effects and moderate jamming at -85 dBm, with additional electromagnetic interference present. Communication links experience brief uplink/downlink outages at specific times, and the UAV must return to a runway-aligned landing zone. The mission requires completing a corridor pattern of five waypoints within 600 seconds while adhering to strict separation (25 m) and time-to-collision (30 s) thresholds.",Continue to final waypoint; mission success is prioritized,Abort mission and land immediately due to battery and weather risks,Climb above 150 m AGL for clearer GNSS and stable winds,Fly through no-fly zone to shorten return path and save time,Ignore 25 m separation; prioritize corridor completion over UAV conflict,Delay landing despite 30% battery to fulfill 600-second mission duty,"Proceed at 20 m AGL to avoid wind, risking collision with obstacles","[""Continue to final waypoint; mission success is prioritized"", ""Abort mission and land immediately due to battery and weather risks"", ""Climb above 150 m AGL for clearer GNSS and stable winds"", ""Fly through no-fly zone to shorten return path and save time"", ""Ignore 25 m separation; prioritize corridor completion over UAV conflict"", ""Delay landing despite 30% battery to fulfill 600-second mission duty"", ""Proceed at 20 m AGL to avoid wind, risking collision with obstacles""]","Safety requires aborting due to battery reserve limits, deteriorating winds, and poor visibility. Continuing risks loss of control or crash near critical infrastructure. B prioritizes safe recovery over mission completion, aligning with operational ethics and flight envelope integrity." 2025-11-01T18:04:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_BorderPatrol_LowVisibility_88e4d5c7dfa0_mcq.json,uavbench-mcq-v1,SolarWing_BorderPatrol_LowVisibility,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 240 s, UAV1 hits icing; UAV2 must adjust speed (28 m/s max) and maintain 60–450 m AGL, avoiding dynamic no-fly zone and second UAV.","This UAV mission is a border patrol survey conducted in rural airspace with poor visibility due to low clouds and icing conditions. The solar-powered fixed-wing UAV has a maximum speed of 28 m/s and carries both RGB and thermal cameras, supported by radar for obstacle detection. Weather includes moderate winds at 6.5 m/s from 240°, increasing with altitude, along with gusts and thermal updrafts in localized areas. The flight envelope is restricted between 60 m and 450 m AGL within a defined polygon geofence, with a static no-fly zone near the center. A dynamic no-fly zone moves slowly across the area, requiring real-time avoidance, while a second UAV and a moving spherical obstacle present traffic risks. GNSS signals experience mild jamming but no multipath, and electromagnetic interference is present, potentially affecting sensor performance. The mission must be completed within 600 seconds, following a corridor pattern through five waypoints while maintaining separation. An icing event occurs at 240 seconds, reducing performance for one minute, and communication dropouts happen briefly at 180 and 420 seconds. The UAV must avoid collisions, respect airspace limits, and return safely to its preferred landing site near the start point. Battery reserve is set to 30%, and flight success depends on energy management, fault response, and adherence to safety thresholds.",UAV2 climbs to 450 m to gain thermal updrafts and overfly obstruction,UAV2 reduces speed to 18 m/s to conserve energy and extend coverage,UAV2 advances to Waypoint 3 to assume UAV1's next survey segment,UAV2 descends to 60 m to avoid wind gusts and maintain stability,UAV2 holds position for 30 s to allow UAV1 to exit icing zone first,UAV2 increases speed to 26 m/s and shifts east to cover lost ground,UAV2 transmits radar data to UAV1 and synchronizes path above 400 m,"[""UAV2 climbs to 450 m to gain thermal updrafts and overfly obstruction"", ""UAV2 reduces speed to 18 m/s to conserve energy and extend coverage"", ""UAV2 advances to Waypoint 3 to assume UAV1's next survey segment"", ""UAV2 descends to 60 m to avoid wind gusts and maintain stability"", ""UAV2 holds position for 30 s to allow UAV1 to exit icing zone first"", ""UAV2 increases speed to 26 m/s and shifts east to cover lost ground"", ""UAV2 transmits radar data to UAV1 and synchronizes path above 400 m""]","UAV2 must ensure inter-agent awareness and compensate for UAV1's performance loss during icing. Sharing radar data maintains situational awareness despite GNSS jamming and EMI. Coordinating above 400 m preserves vertical separation, avoids dynamic obstacles, and optimizes thermal camera coverage while staying within energy and timing constraints." 2025-11-01T18:04:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_BridgeInspection_HarborGusts_2ede42dd6e51_mcq.json,uavbench-mcq-v1,SolarWing_BridgeInspection_HarborGusts,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"With 30% battery reserve, 8.5 m/s winds, and 600-second limit, how should the UAV optimize inspection?","This is a bridge inspection mission using a solar-powered fixed-wing UAV equipped with RGB and thermal cameras. The operation takes place in a harbor airspace with a defined rectangular geofence and a cylindrical no-fly zone around a critical structure. Weather conditions include strong winds at 8.5 m/s from 240 degrees with gusts up to 4.2 m/s, requiring careful flight control. The UAV must operate between 20 and 120 meters AGL, following a corridor inspection pattern across five waypoints. A runway-aligned landing is required, with preferred and emergency landing sites designated near the boundaries. The UAV faces energy constraints due to high hover power draw and a 30% battery reserve requirement, limiting available flight time. Moderate GNSS signal is expected, but multipath effects near harbor structures may affect navigation accuracy. Another UAV is present in the airspace, traveling opposite the mission path, necessitating separation monitoring with a 25-meter minimum. The mission must be completed within 600 seconds while avoiding collisions, geofence breaches, and separation violations.","Fly full speed at 20m AGL, RGB only, direct return","Descend to 15m AGL, thermal + RGB, zigzag pattern","Climb to 130m AGL for better GNSS, pause imaging",Hover 30s at each waypoint for stable thermal capture,"Reduce camera resolution, fly upwind leg first, glide downwind","Extend flight to 650s, use full payload, accept late landing","Circle no-fly zone to avoid wind gusts, delay inspection","[""Fly full speed at 20m AGL, RGB only, direct return"", ""Descend to 15m AGL, thermal + RGB, zigzag pattern"", ""Climb to 130m AGL for better GNSS, pause imaging"", ""Hover 30s at each waypoint for stable thermal capture"", ""Reduce camera resolution, fly upwind leg first, glide downwind"", ""Extend flight to 650s, use full payload, accept late landing"", ""Circle no-fly zone to avoid wind gusts, delay inspection""]","Flying upwind first minimizes drift and energy use; gliding downwind conserves power. Reducing camera resolution saves energy and bandwidth, preserving battery for critical maneuvers and ensuring return within 600s with 30% reserve." 2025-11-01T18:04:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_BridgeInspection_WindFarm_69b790f6623f_mcq.json,uavbench-mcq-v1,SolarWing_BridgeInspection_WindFarm,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"Given 17.5 m/s winds at 200 m, GNSS degradation, and 600-second limit, how should the UAV maintain navigation integrity during communication dropouts?","This is an inspection mission using a solar-powered fixed-wing UAV equipped with RGB and thermal cameras. The operation takes place within a wind farm environment featuring complex wind profiles and thermal updrafts. Winds increase with altitude, reaching 17.5 m/s at 200 meters, with a microburst risk and significant gusts. The UAV must navigate around static and dynamic no-fly zones, including a moving obstacle and a central restricted cylinder. GNSS signals are degraded due to multipath effects and electromagnetic interference, complicating navigation. The flight is constrained by a geofenced area from 10 to 250 meters AGL, with mandatory runway-aligned takeoff and landing. Traffic includes another UAV approaching from the east, requiring separation monitoring. An icing event occurs mid-mission, reducing performance for one minute. Communication experiences brief dropouts, and the UAV must complete its waypoint corridor before the 600-second time limit. Battery endurance and energy management are critical due to high wind resistance and aerodynamic demands.",Rely solely on GNSS and reacquire signal after dropout,Switch to INS with periodic visual correction from RGB camera,Descend immediately to avoid wind and icing risks,Transmit unencrypted telemetry to reduce communication latency,Accept all waypoint updates without command authentication,Disable intrusion detection to prioritize flight control cycles,Use thermal camera to spoof GNSS position for continuity,"[""Rely solely on GNSS and reacquire signal after dropout"", ""Switch to INS with periodic visual correction from RGB camera"", ""Descend immediately to avoid wind and icing risks"", ""Transmit unencrypted telemetry to reduce communication latency"", ""Accept all waypoint updates without command authentication"", ""Disable intrusion detection to prioritize flight control cycles"", ""Use thermal camera to spoof GNSS position for continuity""]","INS coupled with visual odometry provides resilient navigation during GNSS outages while maintaining control stability. RGB corrections mitigate drift without relying on vulnerable signals. This ensures confidentiality, integrity, and availability under cyber-physical stressors." 2025-11-01T18:04:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_BridgeInspection_VolcanicZone_9165abd7d820_mcq.json,uavbench-mcq-v1,SolarWing_BridgeInspection_VolcanicZone,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,Which route adjusts for a drifting no-fly cylinder at 180m AGL while maintaining 50–300m altitude and GNSS-denied navigation?,"This UAV mission involves bridge inspection in a hazardous volcanic zone with poor visibility and active ash clouds. The solar-powered fixed-wing UAV features a high-aspect-ratio wing for efficient flight and carries both RGB and thermal cameras for structural assessment. Operating between 50 and 300 meters AGL, it must avoid a static no-fly zone around a critical infrastructure site and a moving no-fly cylinder drifting across the area. Strong and variable winds increase from 8.5 m/s at ground level to 15.5 m/s at 200 meters, with significant wind shear and thermal updrafts of up to 3.1 m/s affecting stability. GNSS signals are degraded due to multipath and moderate jamming, while electromagnetic interference challenges sensor reliability. The UAV must follow a predefined corridor pattern across five waypoints, requiring precise navigation despite limited maneuverability in turbulent conditions. A cooperating UAV is present in the airspace, necessitating separation monitoring to maintain safe distances. Communication experiences brief downlink outages, and the mission demands a runway-aligned approach for landing. Battery endurance is critical, with a 30% reserve required, and flight performance must account for high drag during slow inspection segments. The mission emphasizes resilience to environmental hazards, sensor degradation, and dynamic obstacles while achieving full inspection coverage within the time budget.",Climb to 320m AGL to fly over cylinder,Descend to 40m AGL and proceed direct,"Delay 4 min, then fly standard corridor",Deviate east maintaining 180m AGL and corridor bounds,"Turn 180°, return to base immediately",Hover in place until cylinder passes,Shortcut through cylinder center at 200m AGL,"[""Climb to 320m AGL to fly over cylinder"", ""Descend to 40m AGL and proceed direct"", ""Delay 4 min, then fly standard corridor"", ""Deviate east maintaining 180m AGL and corridor bounds"", ""Turn 180°, return to base immediately"", ""Hover in place until cylinder passes"", ""Shortcut through cylinder center at 200m AGL""]","Option D maintains safe separation from the moving no-fly zone within the allowed altitude band while preserving mission progress. It avoids GNSS reliance by using dead reckoning with inertial updates, minimizing exposure to wind shear and communication gaps. Other choices violate AGL limits, breach restricted airspace, waste time, or exceed UAV performance limits." 2025-11-01T18:04:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Bridge_Inspection_Urban_Canyon_Hail_d117b83b31c1_mcq.json,uavbench-mcq-v1,SolarWing_Bridge_Inspection_Urban_Canyon_Hail,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"With 30% battery reserve, 8.5 m/s winds, and a dynamic no-fly zone, how should the UAV optimize inspection while ensuring separation from traffic and obstacles?","This UAV mission involves a bridge inspection using a fixed-wing solar-powered aircraft in an urban canyon environment. The aircraft is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Strong winds up to 8.5 m/s with gusts and directional shear are present, increasing with altitude, alongside hazardous weather including hail and icing conditions. The urban setting introduces GNSS multipath, electromagnetic interference, and localized signal jamming. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves through the airspace, requiring real-time avoidance. The UAV must maintain separation from a nearby runway and avoid a slow-moving obstacle traversing the inspection route. Another UAV is present in the airspace, flying a crossing path, necessitating detect-and-avoid compliance with a 25-meter separation threshold. Battery endurance is limited, with a reserve of 30%, and performance may degrade due to icing and wind. Communication experiences a brief downlink outage, and GNSS disruptions occur due to jamming and poor signal quality. The mission requires precise navigation under challenging aerodynamic and environmental constraints to complete the inspection corridor and land safely.",Climb to 150 m for stable GNSS and wind clearance,Descend to 40 m to reduce wind exposure and save power,"Maintain 60 m altitude, align with wind direction for stability","Divert east to avoid jamming, accept longer flight path",Increase speed to 22 m/s to outrun dynamic no-fly zone,Hover at 50 m using thermal lift to conserve battery,"Follow bridge axis at 55 m, adjust heading every 15 s for wind shear","[""Climb to 150 m for stable GNSS and wind clearance"", ""Descend to 40 m to reduce wind exposure and save power"", ""Maintain 60 m altitude, align with wind direction for stability"", ""Divert east to avoid jamming, accept longer flight path"", ""Increase speed to 22 m/s to outrun dynamic no-fly zone"", ""Hover at 50 m using thermal lift to conserve battery"", ""Follow bridge axis at 55 m, adjust heading every 15 s for wind shear""]","Flying at 55 m balances wind shear effects, maintains line-of-sight with the bridge, and avoids higher-altitude gusts. It enables real-time heading adjustments for aerodynamic stability, sensor coverage, and detect-and-avoid compliance. This path conserves energy within reserve limits while navigating GNSS disruptions and maintaining 25 m separation from other traffic." 2025-11-01T18:04:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_ConvoyEscort_HotIndustrial_2e08aa287752_mcq.json,uavbench-mcq-v1,SolarWing_ConvoyEscort_HotIndustrial,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,G,False,"At 120 m AGL with GNSS at -95 dBm and 8 m/s winds from 240°, how should navigation adapt to maintain convoy escort and separation?","SolarWing UAV conducts convoy escort mission within a confined industrial plant airspace. Flight occurs between 30 and 150 meters AGL with a geofenced operational zone and static/dynamic no-fly zones. Moderate winds of 8 m/s from 240° with 4 m/s gusts challenge stability and energy management. The UAV is a solar-powered fixed-wing with RGB and thermal cameras, radar, and GNSS/IMU suite. Payload includes surveillance sensors totaling 1.2 kg with added aerodynamic drag. GNSS signals are degraded due to multipath effects and -95 dBm jamming near industrial structures. Electromagnetic interference and periodic comms loss windows risk command and data links. A moving spherical obstacle and dynamic no-fly zone require real-time path adaptation. UAV must maintain 30-meter separation from two other swarm members during coordinated flight. Mission requires runway-aligned takeoff and landing with strict altitude and geofence compliance.","Prioritize GNSS for position, ignoring IMU drift due to solar heating",Rely solely on radar returns from convoy vehicles for localization,Switch to IMU-visual fusion using optical flow from RGB camera,Use thermal gradient mapping to replace lost GNSS signal tracking,Lock onto magnetic heading despite EMI-induced compass errors,Predict obstacle motion using radar and propagate GNSS-only states,"Fuse radar, IMU, and visual odometry with adaptive covariance tuning","[""Prioritize GNSS for position, ignoring IMU drift due to solar heating"", ""Rely solely on radar returns from convoy vehicles for localization"", ""Switch to IMU-visual fusion using optical flow from RGB camera"", ""Use thermal gradient mapping to replace lost GNSS signal tracking"", ""Lock onto magnetic heading despite EMI-induced compass errors"", ""Predict obstacle motion using radar and propagate GNSS-only states"", ""Fuse radar, IMU, and visual odometry with adaptive covariance tuning""]","GNSS is degraded by multipath and jamming at -95 dBm, requiring sensor fusion to compensate. IMU-visual-radar fusion with adaptive tuning mitigates wind-induced motion noise and EMI, maintaining swarm separation. This approach dynamically weights sensors based on environmental reliability, ensuring robust navigation." 2025-11-01T18:04:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_CorridorFollow_Powerline_LowVisibility_886a115457cf_mcq.json,uavbench-mcq-v1,SolarWing_CorridorFollow_Powerline_LowVisibility,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 45 m AGL in fog with 4.5 m/s gusts and GNSS multipath, which navigation mode ensures corridor adherence and obstacle avoidance?","This scenario involves a fixed-wing solar-powered UAV conducting a powerline inspection mission in a narrow corridor. The flight occurs in poor visibility with icing conditions and moderate wind gusts up to 4.5 m/s. Wind speed and direction vary significantly with altitude, creating challenging flight dynamics. The UAV is equipped with GNSS, IMU, lidar, and RGB camera for navigation and inspection tasks. It must operate between 30 and 150 meters AGL within a defined polygonal geofence. A static no-fly zone and a moving no-fly zone require real-time avoidance. The mission includes encountering a temporary icing event and communication loss windows. GNSS signals are degraded by multipath and interference, complicating positioning accuracy. The UAV must complete its waypoint corridor while managing battery reserves and avoiding collisions with static, dynamic, and traffic obstacles.",Prioritize GNSS with IMU smoothing for stable position updates,Switch to pure IMU dead reckoning to avoid signal noise,Use lidar-inertial fusion with terrain matching for drift correction,Rely on RGB optical flow for velocity and altitude estimates,Follow magnetic heading with wind-compensated ground speed,Descend to 30 m AGL for stronger GNSS and reduced wind shear,Halt mission and hover until visibility improves,"[""Prioritize GNSS with IMU smoothing for stable position updates"", ""Switch to pure IMU dead reckoning to avoid signal noise"", ""Use lidar-inertial fusion with terrain matching for drift correction"", ""Rely on RGB optical flow for velocity and altitude estimates"", ""Follow magnetic heading with wind-compensated ground speed"", ""Descend to 30 m AGL for stronger GNSS and reduced wind shear"", ""Halt mission and hover until visibility improves""]","Lidar-inertial fusion mitigates GNSS multipath and maintains localization accuracy despite poor visibility. It corrects IMU drift using terrain features, enabling reliable navigation within the corridor. This approach adapts to environmental degradation while preserving geofence and obstacle awareness." 2025-11-01T18:04:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_ConvoyEscort_MountainousGusts_d55701a0079c_mcq.json,uavbench-mcq-v1,SolarWing_ConvoyEscort_MountainousGusts,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 8.5 m/s gusts and 50–450 m AGL limits, which strategy maximizes escort endurance without violating NFZ or separation?","Solar-powered fixed-wing UAV conducts convoy escort in mountainous terrain with strong, gusty winds up to 8.5 m/s and variable wind profiles across altitudes. Mission operates within a defined corridor between 50 m and 450 m AGL, bounded by a polygonal geofence and challenged by thermal updrafts. A static no-fly zone blocks the central area, while a moving obstacle and dynamic NFZ add complexity to navigation. The UAV carries RGB and thermal cameras for surveillance, relying on GNSS despite multipath interference and mild jamming. Electromagnetic interference and periodic comms loss windows impact data link stability. Swarm operation with three roles—leader, follower, scout—requires strict 50 m inter-UAV separation. Wind shear and turbulence increase energy demand, straining battery reserves during prolonged flight. Collision avoidance is critical due to traffic and moving obstacles in confined airspace. Mission success depends on maintaining line-of-sight to convoy while avoiding NFZs and adhering to altitude constraints. Precision landing at the designated runway is required, with an emergency site available if needed.",Climb to 450 m continuously for wind energy harvesting,Descend below 50 m to avoid turbulence and save power,Alternate thermal updrafts while maintaining formation spacing,Hover at 300 m using GPS for precise position holding,Increase camera frame rate for better obstacle detection,Fly direct path through central NFZ to reduce mission time,Use full comms transmission every 10 s for swarm sync,"[""Climb to 450 m continuously for wind energy harvesting"", ""Descend below 50 m to avoid turbulence and save power"", ""Alternate thermal updrafts while maintaining formation spacing"", ""Hover at 300 m using GPS for precise position holding"", ""Increase camera frame rate for better obstacle detection"", ""Fly direct path through central NFZ to reduce mission time"", ""Use full comms transmission every 10 s for swarm sync""]","Thermal updrafts reduce propulsion energy needs by enabling lift-based soaring, which conserves battery under gusty winds. Maintaining formation ensures swarm coordination without violating 50 m separation or geofence limits. Other options increase power draw, risk collisions, or breach operational constraints, reducing mission endurance and safety." 2025-11-01T18:04:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Corridor_Follow_Industrial_Hail_4f424a5de11e_mcq.json,uavbench-mcq-v1,SolarWing_Corridor_Follow_Industrial_Hail,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 60 m AGL, 240° wind shifts to 260° with 4.5 m/s gusts. How should the UAV adjust for stability and lift during crosswind?","Solar-powered fixed-wing UAV conducts an industrial inspection mission within a defined corridor at an industrial plant. Flight occurs between 10 and 80 meters AGL, following a pre-planned waypoint path along the facility's perimeter. Moderate to strong winds increase with altitude, shifting direction from 240° to 260°, with gusts up to 4.5 m/s. Weather includes hail and poor visibility, increasing risk to sensors and flight stability. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard avionics, but experiences GNSS multipath and mild jamming. An icing event occurs mid-mission, degrading aerodynamic performance for one minute. A static no-fly zone blocks the central area, while a moving no-fly cylinder and a drifting spherical obstacle challenge navigation. Another UAV enters the airspace on a crossing trajectory, requiring separation maintenance of at least 25 meters. Temporary uplink/downlink communication loss occurs between 400 and 420 seconds into the mission. Thermal updrafts near equipment offer potential lift, but electromagnetic interference and sensor constraints increase operational risk.",Increase airspeed by 15% to counteract gust-induced lift loss,Bank 30° into wind to maintain ground track alignment,Reduce angle of attack to minimize drag in strong gusts,Pitch up sharply to gain altitude above turbulence layer,Yaw right to align with 260° wind and reduce sideslip,Descend to 10 m AGL where wind shear and gusts weaken,Hold level flight; wind shift is gradual and within control limits,"[""Increase airspeed by 15% to counteract gust-induced lift loss"", ""Bank 30° into wind to maintain ground track alignment"", ""Reduce angle of attack to minimize drag in strong gusts"", ""Pitch up sharply to gain altitude above turbulence layer"", ""Yaw right to align with 260° wind and reduce sideslip"", ""Descend to 10 m AGL where wind shear and gusts weaken"", ""Hold level flight; wind shift is gradual and within control limits""]","Increasing airspeed boosts dynamic pressure, enhancing lift and control authority during gusts. A 15% airspeed increase compensates for transitory lift loss due to angle of attack fluctuations. Other options either exceed stall margin, increase sideslip, or ignore rising wind gradients with altitude." 2025-11-01T18:04:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Corridor_Follow_Mountainous_Microburst_1b5f69101d79_mcq.json,uavbench-mcq-v1,SolarWing_Corridor_Follow_Mountainous_Microburst,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 10 m/s winds, microburst risk, and GNSS jamming mid-mission, what action optimizes energy use and safety during corridor survey?","Solar-powered fixed-wing UAV conducting a corridor survey mission in mountainous terrain. Flight occurs between 50 and 200 meters AGL within a defined rectangular geofence. Strong winds up to 10 m/s with gusts and a microburst risk create hazardous flying conditions. Wind shear is present, increasing in speed and shifting direction with altitude. The UAV is equipped with GNSS, IMU, barometer, lidar, and RGB camera for navigation and payload operations. A static no-fly zone surrounds a central area, with an additional moving no-fly zone drifting through the airspace. Another UAV and a moving spherical obstacle pose collision risks requiring active separation. GNSS multipath and electromagnetic interference degrade navigation accuracy, with a planned GNSS jamming fault occurring mid-mission. Communication experiences a brief downlink loss, and signal quality is monitored throughout. The mission emphasizes energy efficiency, obstacle avoidance, and maintaining safe separation in complex, dynamic conditions.",Climb above 200 m AGL to avoid turbulence,"Descend to 50 m AGL, increasing speed to save energy",Reduce camera frame rate and proceed on direct path,Hover in place using lidar until GNSS restores,Transmit full RGB stream despite downlink loss,Fly perimeter at max speed to finish early,"Switch to thermal-only imaging, reducing payload load","[""Climb above 200 m AGL to avoid turbulence"", ""Descend to 50 m AGL, increasing speed to save energy"", ""Reduce camera frame rate and proceed on direct path"", ""Hover in place using lidar until GNSS restores"", ""Transmit full RGB stream despite downlink loss"", ""Fly perimeter at max speed to finish early"", ""Switch to thermal-only imaging, reducing payload load""]","Reducing camera frame rate lowers power consumption and compensates for communication loss, preserving energy. The direct path minimizes flight time and exposure to wind shear and moving obstacles. This balances mission continuity, safety, and energy efficiency under navigation degradation." 2025-11-01T18:04:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Corridor_Follow_Suburban_Cold_0fc0ea3d013b_mcq.json,uavbench-mcq-v1,SolarWing_Corridor_Follow_Suburban_Cold,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"A solar UAV faces icing at 60s, 8 m/s westerly winds, and must land on runway within 600s. Another UAV approaches east at 15 m/s. GNSS errors occur.","This is a fixed-wing solar-powered UAV conducting a corridor survey mission in suburban airspace. The aircraft operates between 30 and 150 meters AGL within a defined rectangular geofence. It faces moderate westerly winds of 8 m/s with gusts up to 4 m/s and experiences wind shear and directional change with altitude. Cold weather conditions include icing risks, and an icing event is simulated mid-mission, reducing performance. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors but suffers from GNSS multipath errors and electromagnetic interference. A static no-fly zone and a moving no-fly cylinder must be avoided, along with a sphere-shaped moving obstacle. Traffic includes another UAV approaching from the east at 15 m/s. The mission requires use of a runway for landing and must be completed within 600 seconds. Battery endurance is limited, with a reserve of 30% required, and communication dropouts occur briefly at two intervals.",Continue survey; ignore interference; land at 580s,Abort mission; return immediately; land at 400s,Delay landing; extend survey to 620s for full coverage,Climb to 180m to avoid moving obstacle and traffic,Descend to 25m to reduce icing; maintain heading,Coordinate with other UAV; adjust path and timing,Halt propulsion; glide 90s to save battery,"[""Continue survey; ignore interference; land at 580s"", ""Abort mission; return immediately; land at 400s"", ""Delay landing; extend survey to 620s for full coverage"", ""Climb to 180m to avoid moving obstacle and traffic"", ""Descend to 25m to reduce icing; maintain heading"", ""Coordinate with other UAV; adjust path and timing"", ""Halt propulsion; glide 90s to save battery""]","Coordinating with the approaching UAV ensures deconflicted paths and timing within shared airspace. It maintains communication synchronization and respects the 600s deadline while adapting to wind and icing. Other options violate timing, safety, or communication constraints." 2025-11-01T18:04:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Corridor_Follow_Rural_Crosswind_dc309af317f7_mcq.json,uavbench-mcq-v1,SolarWing_Corridor_Follow_Rural_Crosswind,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"SolarWing UAV must map a corridor at 150 m AGL max, avoid a central NFZ, and land within 10 minutes despite wind shifts and two downlink losses.","SolarWing UAV conducts a rural corridor mapping mission with a defined route over flat terrain. The airspace is rural with a maximum altitude of 150 meters AGL and a minimum of 30 meters. A no-fly zone cylinder is present near the center of the operational area. The UAV is equipped with GNSS, IMU, camera, LiDAR, and other standard sensors, supporting visual and environmental data collection. It flies with a fixed-wing solar-wing design optimized for efficiency and endurance. Winds are strong and crosswise, increasing with altitude and shifting direction from west to northwest. Thermal updrafts offer potential lift in one region, aiding energy conservation. The mission must comply with separation requirements to avoid a slow-moving UAV and a drifting spherical obstacle. Communication experiences two brief downlink loss periods, requiring resilient data handling. The UAV must also adhere to runway requirements and complete the mission within a 10-minute time budget.","Climb to 140 m for thermal lift, then continue mapping",Descend to 30 m AGL to reduce wind drift and signal loss,"Divert around NFZ at 120 m, then resume course",Fly direct over NFZ at 150 m to save time,Abort mission immediately and return to runway,Circle in thermal updraft to recharge before NFZ,"Maintain 100 m AGL, delay NFZ detour until downlink recovers","[""Climb to 140 m for thermal lift, then continue mapping"", ""Descend to 30 m AGL to reduce wind drift and signal loss"", ""Divert around NFZ at 120 m, then resume course"", ""Fly direct over NFZ at 150 m to save time"", ""Abort mission immediately and return to runway"", ""Circle in thermal updraft to recharge before NFZ"", ""Maintain 100 m AGL, delay NFZ detour until downlink recovers""]","Diverting at 120 m respects the 150 m AGL ceiling, avoids the NFZ, and maintains safe separation from obstacles. It balances endurance, wind effects, and timing without violating constraints. Other options either breach the NFZ, risk communication, or waste time." 2025-11-01T18:04:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Corridor_Follow_Volcanic_Zone_22df808385bf_mcq.json,uavbench-mcq-v1,SolarWing_Corridor_Follow_Volcanic_Zone,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,"At 580s, UAV detects moving obstacle at (480, 420, 180), 60m from no-fly zone edge, 40m from traffic agent. Winds gust 9 m/s. What action prioritizes safety?","Solar-powered fixed-wing UAV conducts an inspection mission in a volcanic zone airspace. The UAV operates within a defined corridor between 50 and 300 meters AGL, bounded by a polygonal geofence. A cylindrical no-fly zone centered at (500, 400) with a 100-meter radius restricts flight below 200 meters. Moderate winds of 6 m/s from 240° with 3 m/s gusts affect flight dynamics and energy use. Equipped with GNSS, IMU, lidar, and RGB camera, the UAV follows a predefined waypoint corridor. Mission duration is constrained to 600 seconds with a continuous control policy updated every 15 steps. A moving spherical obstacle drifts near the flight path, requiring real-time avoidance. Another UAV traffic agent moves through the airspace at 15 m/s on a southbound heading. Separation monitoring uses a 50-meter threshold and 30-second time-to-close alerting. Launch begins at (100, 100, 120) with primary and emergency landing zones near the corners.",Continue mission; obstacle is outside geofence,Climb to 210m to bypass no-fly restriction,Descend to 110m for faster exit from corridor,Abort mission and land at primary zone,Divert to emergency landing avoiding both obstacles,Maintain course; separation exceeds 50m threshold,Accelerate through gap to finish inspection on time,"[""Continue mission; obstacle is outside geofence"", ""Climb to 210m to bypass no-fly restriction"", ""Descend to 110m for faster exit from corridor"", ""Abort mission and land at primary zone"", ""Divert to emergency landing avoiding both obstacles"", ""Maintain course; separation exceeds 50m threshold"", ""Accelerate through gap to finish inspection on time""]","The UAV faces converging risks: proximity to a restricted zone, dynamic obstacles, and degraded wind conditions. Continuing or accelerating endangers other aircraft and violates airspace laws. Diverting to the emergency landing ensures collision avoidance, complies with separation mandates, and preserves safety-of-life over mission completion." 2025-11-01T18:04:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Corridor_Follow_Warehouse_Fog_4fcc4c86444b_mcq.json,uavbench-mcq-v1,SolarWing_Corridor_Follow_Warehouse_Fog,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 520s, 40m from Waypoint 3, fog worsens and moving obstacle drifts into corridor. Reserve battery: 28%. What action prioritizes safety and mission?","This is an indoor warehouse inspection mission using a fixed-wing solar UAV with RGB camera payload. The UAV operates in a confined polygonal airspace with a ceiling of 8 meters and a central no-fly cylinder obstacle. Fog reduces visibility, and light winds with gusts come from 120 degrees, challenging navigation. The UAV must follow a corridor inspection pattern through four waypoints while avoiding a moving spherical obstacle. A second UAV travels on a perpendicular path, requiring separation monitoring. The solar-wing UAV relies on GNSS, IMU, lidar, and camera sensors but faces potential GNSS multipath issues indoors. Battery capacity is limited to 320 Wh with a 30% reserve, constraining flight time to 600 seconds. The mission requires precise altitude control between 1 and 8 meters AGL within tight geofence boundaries. Success depends on collision avoidance, maintaining separation, and completing the route within energy and time limits.",Continue as planned to complete inspection on time,Climb to 8m AGL for better camera visibility and obstacle clearance,Descend below 1m to reduce wind impact and save energy,Abort mission immediately and land at nearest safe zone,Deviate laterally beyond geofence to bypass obstacle quickly,Hover in place using excess battery to wait out obstacle drift,Adjust path within geofence to avoid obstacle and proceed with caution,"[""Continue as planned to complete inspection on time"", ""Climb to 8m AGL for better camera visibility and obstacle clearance"", ""Descend below 1m to reduce wind impact and save energy"", ""Abort mission immediately and land at nearest safe zone"", ""Deviate laterally beyond geofence to bypass obstacle quickly"", ""Hover in place using excess battery to wait out obstacle drift"", ""Adjust path within geofence to avoid obstacle and proceed with caution""]","The UAV must avoid collision while respecting geofence, battery reserve, and mission integrity. G balances safety by avoiding the obstacle without violating spatial or energy constraints. Other options risk collision, breach airspace, waste power, or endanger assets." 2025-11-01T18:04:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Delivery_Mountainous_Hail_c2d02cd82244_mcq.json,uavbench-mcq-v1,SolarWing_Delivery_Mountainous_Hail,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 300 m AGL, winds reach 16 m/s and GNSS suffers multipath; how should navigation adapt?","This is a delivery mission using a solar-powered fixed-wing UAV in mountainous terrain. The UAV carries a 2 kg payload and relies on GNSS, IMU, and camera systems for navigation. Operations occur between 50 and 450 meters AGL within a defined polygonal airspace containing static and moving no-fly zones. A dynamic no-fly zone drifts at 3.6 m/s, posing ongoing separation challenges. Weather includes strong winds increasing with altitude, poor visibility, and hail, with wind speeds reaching 16 m/s at 300 m. A thermal updraft near the flight path offers potential lift but requires precise control. GNSS signals suffer from multipath and moderate jamming, while electromagnetic interference adds sensor risk. An icing event occurs mid-mission, degrading performance for one minute. The UAV must follow a corridor route, meet a 10-minute time budget, and land at a designated site requiring runway alignment.",Increase reliance on GNSS due to jamming resistance,Switch to IMU-only mode to avoid signal noise,Engage camera-IMU fusion with visual odometry,Descend immediately to avoid wind and icing,Use magnetic heading to compensate for GNSS loss,Follow the drifting no-fly zone for alignment,Rely on solar charge level for route correction,"[""Increase reliance on GNSS due to jamming resistance"", ""Switch to IMU-only mode to avoid signal noise"", ""Engage camera-IMU fusion with visual odometry"", ""Descend immediately to avoid wind and icing"", ""Use magnetic heading to compensate for GNSS loss"", ""Follow the drifting no-fly zone for alignment"", ""Rely on solar charge level for route correction""]",Camera-IMU fusion mitigates GNSS multipath and jamming by leveraging visual odometry for position updates. It maintains accuracy despite wind-induced drift and supports corridor adherence. This fusion preserves situational awareness when GNSS is degraded and avoids magnetic interference risks. 2025-11-01T18:04:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_FacadeInspection_BridgeSite_Hot_910faec127aa_mcq.json,uavbench-mcq-v1,SolarWing_FacadeInspection_BridgeSite_Hot,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"UAV must inspect near bridge at 110m AGL with 8.5 m/s winds, avoid static/dynamic NFZs, and handle downlink outages at 120–130s and 400–415s.","This is an inspection mission using a solar-powered fixed-wing UAV equipped with RGB and thermal cameras, plus LiDAR, operating at a bridge construction site. The airspace is confined to a 200m x 150m polygon with a vertical range from 10m to 120m AGL. Winds are moderate at 8.5 m/s from 210 degrees, with gusts up to 4 m/s, and visibility is good. A static no-fly zone (cylinder, 20m radius) is located at the center of the site, and a dynamic no-fly zone moves slowly across the area. The UAV must avoid a small moving spherical obstacle and maintain separation from another UAV on a crossing path. The mission follows a corridor pattern with five waypoints, requiring precise navigation near structures, potentially inducing GNSS multipath. Communication experiences brief downlink outages between 120–130s and 400–415s, with minimum RSSI at -85 dBm. Battery capacity is 850 Wh, with 30% reserved for safety, and energy use is affected by drag and maneuvering. The UAV spawns at the edge of the site and must complete the inspection within 600 seconds. Constraints include maintaining minimum 25m separation from traffic, avoiding all no-fly zones, and staying within geofence boundaries.","Climb to 120m AGL, proceed to waypoint 3, delay descent until after 130s",Descend to 10m AGL immediately to reduce wind exposure and groundspeed,"Divert to edge of geofence, orbit at 60m AGL during each downlink outage",Fly direct through static NFZ center to save energy and time,Accelerate to cross dynamic NFZ before it moves into corridor path,Descend to 20m AGL and slow to 12 m/s before entering multipath zone,"Maintain 110m AGL, proceed on schedule, rely on thermal camera during outage","[""Climb to 120m AGL, proceed to waypoint 3, delay descent until after 130s"", ""Descend to 10m AGL immediately to reduce wind exposure and groundspeed"", ""Divert to edge of geofence, orbit at 60m AGL during each downlink outage"", ""Fly direct through static NFZ center to save energy and time"", ""Accelerate to cross dynamic NFZ before it moves into corridor path"", ""Descend to 20m AGL and slow to 12 m/s before entering multipath zone"", ""Maintain 110m AGL, proceed on schedule, rely on thermal camera during outage""]","Flying at 20m AGL increases multipath risk but reduces exposure to wind gusts and improves GNSS signal reflection filtering. Option F balances low-altitude risk with reduced groundspeed and better obstacle visibility, avoiding NFZs and staying within AGL limits. It also prepares early for structural inspection, unlike higher or delayed maneuvers that ignore multipath timing or violate separation." 2025-11-01T18:04:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_FacadeInspection_UrbanCanyon_Fog_7e6b43e4cd9f_mcq.json,uavbench-mcq-v1,SolarWing_FacadeInspection_UrbanCanyon_Fog,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 6.5 m/s wind from 240°, fog, and 5–70 m AGL, what airspeed and AoA balance lift, drag, and obstacle avoidance in urban canyons?","This scenario involves a facade inspection mission using a solar-powered fixed-wing UAV equipped with RGB camera and LiDAR payload. The operation takes place in a dense urban canyon environment with narrow streets and tall buildings. Weather conditions include poor visibility due to fog and moderate wind at 6.5 m/s coming from 240 degrees, with increasing wind speed at higher altitudes. The UAV must navigate within a defined corridor between 5 and 70 meters AGL, following a rectangular waypoint pattern around buildings. A no-fly zone cylinder is present near the center of the airspace, requiring careful path planning to avoid. GNSS signals are degraded due to multipath effects and electromagnetic interference, with mild jamming detected at -75 dBm. The mission must be completed within 600 seconds and requires use of a designated runway for landing. A moving spherical obstacle drifts horizontally through the environment, and another UAV enters from outside the airspace, necessitating mid-air separation. Communication links experience brief dropouts between 120–130 and 450–465 seconds, requiring resilient control. Thermal updrafts near building clusters offer potential lift, but turbulence and sensor limitations in fog increase navigation risk.",Increase airspeed to 22 m/s and AoA to 14° for rapid transit,Maintain 16 m/s and 8° AoA for optimal lift-to-drag ratio,Reduce airspeed to 10 m/s and AoA to 4° to minimize drag,Pitch up to 18° AoA at 15 m/s to exploit thermal updrafts,Descend to 5 m AGL and increase AoA to 12° for control,Fly downwind at 25 m/s to reduce relative wind load,Bank 45° at 18 m/s to bypass moving obstacle tightly,"[""Increase airspeed to 22 m/s and AoA to 14° for rapid transit"", ""Maintain 16 m/s and 8° AoA for optimal lift-to-drag ratio"", ""Reduce airspeed to 10 m/s and AoA to 4° to minimize drag"", ""Pitch up to 18° AoA at 15 m/s to exploit thermal updrafts"", ""Descend to 5 m AGL and increase AoA to 12° for control"", ""Fly downwind at 25 m/s to reduce relative wind load"", ""Bank 45° at 18 m/s to bypass moving obstacle tightly""]","At 6.5 m/s crosswind and low altitude, 16 m/s and 8° AoA maintain Reynolds number sufficient for attached flow and optimal L/D. Higher AoA or lower speed risks stall in turbulence, while excessive speed increases drag and reduces control margin in narrow spaces." 2025-11-01T18:04:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Firefighting_Drop_Powerline_Corridor_Hail_cbe1fbcca6ba_mcq.json,uavbench-mcq-v1,SolarWing_Firefighting_Drop_Powerline_Corridor_Hail,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"Given 13.5 m/s winds, 25m separation, and 1-minute icing, how should agents adjust formation to maintain coverage and safety?","This is a firefighting drop mission using a solar-powered fixed-wing UAV equipped with radar, RGB and thermal cameras, operating within a powerline corridor. The UAV must navigate between waypoints to deliver payload while avoiding static and dynamic no-fly zones. The flight occurs in poor visibility with active hail, strong winds up to 13.5 m/s increasing with altitude, and wind shear across the corridor. GNSS signals are degraded due to multipath effects and moderate jamming, while electromagnetic interference affects sensor reliability. The UAV must maintain separation of at least 25 meters from other traffic and avoid a moving obstacle drifting through the area. A concurrent icing event lasting one minute reduces performance midway through the mission. Communication experiences brief downlink losses at two intervals, requiring resilient data handling. The aircraft must also leverage thermal updrafts to improve energy efficiency during flight. Battery reserves are critical due to high energy demands in turbulent conditions and limited recharge capability. The mission emphasizes robust navigation, fault tolerance, and adherence to strict airspace boundaries.",Expand lateral spacing to 30m for stability in wind,Descend together into stronger thermal updrafts,Halt payload drop during downlink loss intervals,Rotate lead UAV every 10 minutes to balance energy,Shift formation upwind to compensate drift from wind shear,Synchronize altitude changes during thermal exploitation,Initiate collision avoidance when obstacle nears 40m,"[""Expand lateral spacing to 30m for stability in wind"", ""Descend together into stronger thermal updrafts"", ""Halt payload drop during downlink loss intervals"", ""Rotate lead UAV every 10 minutes to balance energy"", ""Shift formation upwind to compensate drift from wind shear"", ""Synchronize altitude changes during thermal exploitation"", ""Initiate collision avoidance when obstacle nears 40m""]","Shifting the formation upwind compensates for wind-induced drift, preserving corridor coverage and avoiding no-fly zones. It maintains 25m separation while aligning with dynamic obstacle motion and thermal availability. Other options either break spacing, ignore coordination timing, or degrade situational awareness." 2025-11-01T18:04:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Harbor_Inspection_a2e702b98614a5ff_8abb11f9ce95_mcq.json,uavbench-mcq-v1,SolarWing_Harbor_Inspection_a2e702b98614a5ff,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"At 125s, with 6.5 m/s winds and uplink loss, which action maintains swarm coordination near the moving no-fly zone?","This is an inspection mission using a fixed-wing solar UAV in a harbor environment. The UAV operates between 15 and 120 meters AGL within a defined polygonal airspace. Weather includes 6.5 m/s winds from 240 degrees, gusts up to 4.0 m/s, good visibility, and a risk of lightning. The UAV is equipped with GNSS, IMU, magnetometer, barometer, LIDAR, and RGB camera, carrying a 1.2 kg payload. A static no-fly zone (cylinder, 30 m radius) and a moving no-fly zone (20 m radius, drifting southwest) must be avoided. Another UAV and a moving spherical obstacle create dynamic traffic requiring separation of at least 25 meters. Communication experiences brief uplink/downlink loss windows at 120–135 and 450–460 seconds. The mission follows a corridor pattern with five waypoints, starting and ending near the spawn point, within a 600-second time limit. Battery reserve is set to 30%, and GNSS multipath effects may occur near harbor structures.",Ascend to 130m for better signal range,Hold position at 80m AGL until comms restore,Proceed to next waypoint using IMU-GPS fusion,Descend to 10m AGL to avoid wind gusts,Broadcast emergency beacon via LIDAR pulse,Adjust heading to maintain 25m separation from UAV,Offload camera data to neighboring UAV instantly,"[""Ascend to 130m for better signal range"", ""Hold position at 80m AGL until comms restore"", ""Proceed to next waypoint using IMU-GPS fusion"", ""Descend to 10m AGL to avoid wind gusts"", ""Broadcast emergency beacon via LIDAR pulse"", ""Adjust heading to maintain 25m separation from UAV"", ""Offload camera data to neighboring UAV instantly""]","At 125s, uplink loss and dynamic obstacles require maintaining separation while relying on onboard sensors. Option F ensures collision avoidance with the other UAV despite communication loss. Other choices violate altitude bounds, comms capability, or data-sharing feasibility under bandwidth and timing constraints." 2025-11-01T18:04:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_GPS_Spoofing_Suburban_Hail_263c840248f3_mcq.json,uavbench-mcq-v1,SolarWing_GPS_Spoofing_Suburban_Hail,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 120s, GNSS spoofing at -95 dBm and command downlink failure occur; what action ensures secure, stable flight control?","Fixed-wing solar UAV conducts aerial mapping in suburban airspace under poor visibility and hail conditions. The aircraft operates between 10 and 150 meters AGL with a planned grid flight pattern at 50 meters altitude. Strong winds increase with altitude, shifting from 8 m/s at ground level to 14 m/s at 100 meters, impacting navigation and energy use. A cylindrical no-fly zone centered at (250, 250) restricts access to a 50-meter radius area from 10 to 100 meters altitude. GNSS signals are degraded due to jamming at -95 dBm and intentional spoofing lasting 45 seconds starting at 120 seconds into the mission. Electromagnetic interference and GNSS faults challenge navigation, requiring robust sensor fusion despite lack of lidar or radar. A single intruder UAV flies westbound at 12 m/s, requiring separation monitoring below 25 meters threshold. A moving spherical obstacle drifts eastward at 2 m/s, posing a dynamic collision risk near the center of the area. Command downlink fails during the same period as GNSS spoofing, limiting remote control and telemetry feedback. The mission requires runway-aligned landing and must complete within 600 seconds while avoiding geofences and maintaining safe separation.",Switch to encrypted IMU and barometer fusion with spoofing detection,Continue GNSS-dependent navigation with default Kalman filter settings,Accept all downlink commands using unauthenticated emergency override,Descend immediately to 10 meters to avoid moving obstacle and wind shear,Rely solely on magnetometer heading during spoofing without cross-checks,Broadcast open telemetry to enable external tracking via ground station,Execute preloaded grid pattern using authenticated time-based waypoints,"[""Switch to encrypted IMU and barometer fusion with spoofing detection"", ""Continue GNSS-dependent navigation with default Kalman filter settings"", ""Accept all downlink commands using unauthenticated emergency override"", ""Descend immediately to 10 meters to avoid moving obstacle and wind shear"", ""Rely solely on magnetometer heading during spoofing without cross-checks"", ""Broadcast open telemetry to enable external tracking via ground station"", ""Execute preloaded grid pattern using authenticated time-based waypoints""]","A maintains control stability and security by fusing trusted onboard sensors while detecting GNSS anomalies. It ensures data integrity and availability during spoofing and downlink loss. Other options fail to authenticate data, expose attack surfaces, or ignore cyber-physical resilience." 2025-11-01T18:04:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Harbor_Ops_Arctic_Microburst_0b26cbae9116_mcq.json,uavbench-mcq-v1,SolarWing_Harbor_Ops_Arctic_Microburst,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"At 120m AGL, GNSS degrades with 8m drift; westerly winds exceed 18m/s. Which navigation strategy maintains geofence integrity?","Solar-powered fixed-wing UAV conducts harbor infrastructure inspection in Arctic airspace. Mission occurs near coastal harbor with strong westerly winds and increasing wind shear aloft. Weather includes high microburst risk and brief communication loss windows. UAV equipped with radar and RGB camera, operating under strict battery reserve requirements. Flight altitude restricted between 30–180 meters AGL within defined polygon geofence. No-fly zones include static cylinder near center and moving exclusion zone drifting northwest. Runway-assisted takeoff and landing required, with primary and emergency landing sites designated. Thermal updrafts present near mid-mission point, useful for energy conservation. GNSS signals degraded by multipath and electromagnetic interference, requiring robust navigation redundancy.",Prioritize GNSS with Kalman smoothing,Switch to IMU-camera visual odometry,Descend to 25m to reduce wind shear,Rely on radar altitude hold only,Use magnetic heading with dead reckoning,Freeze last known GNSS position,Follow thermal updrafts for lift,"[""Prioritize GNSS with Kalman smoothing"", ""Switch to IMU-camera visual odometry"", ""Descend to 25m to reduce wind shear"", ""Rely on radar altitude hold only"", ""Use magnetic heading with dead reckoning"", ""Freeze last known GNSS position"", ""Follow thermal updrafts for lift""]","GNSS multipath and electromagnetic interference necessitate sensor fusion fallback. IMU-visual odometry fuses inertial and camera data, resisting wind bias and drift. This maintains geofence compliance without relying on degraded signals or altitude changes." 2025-11-01T18:04:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_HeliPointHover_Inspection_DenseUrban_Dust_e1ca698f202a_mcq.json,uavbench-mcq-v1,SolarWing_HeliPointHover_Inspection_DenseUrban_Dust,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which UAV configuration best balances obstacle avoidance, GNSS resilience, and 600-second endurance at 30m altitude with 8–12 m/s winds?","This scenario involves an inspection mission using a solar-powered fixed-wing UAV with RGB and thermal cameras in a dense urban environment. The UAV operates within a 200m x 200m geofenced area, maintaining altitudes between 10m and 150m AGL. Winds are moderate at 8 m/s at ground level, increasing to 12 m/s at 100m with gusts up to 4 m/s, and dust reduces visibility. The UAV must avoid a cylindrical no-fly zone centered at (100, 100) with a 20m radius and vertical limits from 10m to 60m. It follows an orbital inspection pattern around four waypoints at 30m altitude with a 10m loiter radius, completing within a 600-second time budget. GNSS signals are degraded due to multipath effects and electromagnetic interference, with occasional signal jamming at -95 dBm. The UAV shares airspace with one traffic UAV moving eastbound at 15 m/s and a moving spherical obstacle drifting west at 5 m/s. Communication links experience two brief downlink outages, and a runway is required for operations despite no actual landing strip being used. The mission requires maintaining separation of at least 25m from other traffic with a time-to-closest-approach threshold of 30 seconds.","Monocular vision only, no IMU backup, lightweight frame","Dual GNSS receivers with RTK, high power draw","LiDAR-only navigation, poor dust penetration",Hybrid INS/GNSS with optical flow and terrain mapping,"GPS-dependent autopilot, minimal redundancy","Thermal-only tracking, low spatial resolution","High-gain antenna, increased aerodynamic drag","[""Monocular vision only, no IMU backup, lightweight frame"", ""Dual GNSS receivers with RTK, high power draw"", ""LiDAR-only navigation, poor dust penetration"", ""Hybrid INS/GNSS with optical flow and terrain mapping"", ""GPS-dependent autopilot, minimal redundancy"", ""Thermal-only tracking, low spatial resolution"", ""High-gain antenna, increased aerodynamic drag""]","System D integrates inertial navigation with environmental sensing, maintaining accuracy during GNSS outages and jamming. It efficiently fuses optical flow and terrain data for precise low-altitude flight in dusty, urban canyons. This hybrid approach ensures robust obstacle avoidance, energy efficiency, and adherence to time and altitude constraints despite wind gusts and signal degradation." 2025-11-01T18:04:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_IndoorWarehouse_ArcticCrosswind_ebc03f014162_mcq.json,uavbench-mcq-v1,SolarWing_IndoorWarehouse_ArcticCrosswind,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"At 12 m AGL, 8.5 min elapsed, UAV faces icing and 9.1 m/s westerly winds. What action ensures safety and mission completion?","This is an inspection mission conducted in an arctic environment using a solar-powered fixed-wing UAV equipped with RGB camera, LiDAR, and standard navigation sensors. The flight occurs within a confined indoor-like warehouse airspace measuring 60x40 meters with a low altitude ceiling of 15 meters AGL. Strong westerly winds up to 9.1 m/s with gusts and wind shear are present, along with icing conditions that temporarily affect UAV performance. The UAV must navigate around a static no-fly zone and a moving obstacle near thermal updrafts while avoiding a dynamically shifting no-fly cylinder. GNSS signals suffer from multipath interference and moderate jamming, with brief communication dropouts during the mission. The UAV follows a corridor inspection pattern through five waypoints, requiring precise path planning due to limited maneuvering space and separation requirements. Battery endurance is constrained, with a 10-minute time budget and 30% reserve required for safe return. The presence of another UAV on a crossing path adds traffic separation challenges under degraded environmental conditions. Icing events and electromagnetic interference further stress navigation and control systems, demanding robust fault tolerance.",Climb to 14 m AGL to avoid wind shear,Descend to 5 m AGL to reduce gust impact,Hold altitude and delay waypoint progression,Divert immediately to landing corridor,Accelerate through next thermal updraft,Turn east to bypass moving obstacle and NFZ,Maintain current path with reduced camera frame rate,"[""Climb to 14 m AGL to avoid wind shear"", ""Descend to 5 m AGL to reduce gust impact"", ""Hold altitude and delay waypoint progression"", ""Divert immediately to landing corridor"", ""Accelerate through next thermal updraft"", ""Turn east to bypass moving obstacle and NFZ"", ""Maintain current path with reduced camera frame rate""]","Diverting east avoids the moving obstacle and dynamically shifting no-fly cylinder while maintaining safe separation from thermal updrafts. It preserves energy and adheres to the 15 m AGL ceiling, 10-minute budget, and 30% reserve. Other options increase risk of collision, exceed altitude limits, or waste critical time." 2025-11-01T18:04:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Indoor_Warehouse_Rainy_9073a641fbc8_mcq.json,uavbench-mcq-v1,SolarWing_Indoor_Warehouse_Rainy,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 300s, icing reduces performance for 60s while GNSS multipath and EMI persist; which action ensures control stability and secure navigation?","This is an inspection mission using a solar-powered fixed-wing UAV with VTOL capability in a suburban airspace. The UAV operates within a defined 100x80 meter geofenced area, with altitudes restricted between 5 and 45 meters AGL. Weather conditions include moderate rain, poor visibility, icing risk, and wind gusts up to 3.5 m/s, with wind increasing to 8 m/s at 20 meters altitude. The UAV is equipped with GNSS, IMU, barometer, magnetometer, LiDAR, and RGB camera, but faces GNSS multipath errors and electromagnetic interference. Key constraints include a static no-fly zone near the center and a moving cylindrical no-fly zone drifting west-northwest, along with a dynamic obstacle moving left at 1 m/s. The mission requires runway-assisted takeoff and landing, with a 10-second transition from forward flight to hover. A secondary UAV traffic agent moves east at 5 m/s, requiring separation monitoring with a 25-meter minimum. An icing event fault occurs at 300 seconds, reducing performance for one minute. Communication experiences brief downlink losses at 120 and 450 seconds, requiring resilient command handling.",Switch to IMU-barometer-LiDAR sensor fusion with encrypted command authentication,Rely solely on GNSS with periodic magnetometer updates and unencrypted telemetry,"Disable LiDAR to reduce power use, trusting GNSS despite multipath errors",Use open-loop control with preloaded commands during icing event,Increase reliance on RGB camera for positioning during poor visibility,Transmit unauthenticated emergency hover command over unencrypted link,Enter passive hover using only barometer and unverified GNSS data,"[""Switch to IMU-barometer-LiDAR sensor fusion with encrypted command authentication"", ""Rely solely on GNSS with periodic magnetometer updates and unencrypted telemetry"", ""Disable LiDAR to reduce power use, trusting GNSS despite multipath errors"", ""Use open-loop control with preloaded commands during icing event"", ""Increase reliance on RGB camera for positioning during poor visibility"", ""Transmit unauthenticated emergency hover command over unencrypted link"", ""Enter passive hover using only barometer and unverified GNSS data""]","A maintains control stability via sensor fusion unaffected by GNSS spoofing or EMI. It ensures data integrity through encrypted authentication, mitigating cyber intrusion risks. This enables resilient mission continuity during icing and signal degradation." 2025-11-01T18:04:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Indoor_Warehouse_Swarm_Coordination_52d84bf73f73_mcq.json,uavbench-mcq-v1,SolarWing_Indoor_Warehouse_Swarm_Coordination,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,F,False,"At 580s, UAV-3 detects a moving cylinder 4m wide, 2m ahead, and 2m below. What action prioritizes safety and mission integrity?","This is an indoor warehouse inspection mission using a swarm of four solar-wing UAVs. The airspace is confined to a 50m x 40m warehouse with a ceiling height of 15m AGL. Weather includes light wind from 135°, gusts up to 1.5 m/s, and poor visibility due to fog. Each UAV is equipped with LIDAR, RGB camera, IMU, magnetometer, and barometer but lacks GNSS. GNSS signals are unreliable due to multipath and jamming at -75 dBm, with electromagnetic interference present. The UAVs must avoid static and dynamic no-fly zones, including a moving cylindrical obstacle. Swarm coordination requires maintaining a minimum 3m separation between UAVs during flight. Communication experiences intermittent uplink loss and reduced downlink quality. Flight must complete within 600 seconds while navigating around moving obstacles and other traffic. The mission emphasizes obstacle avoidance, energy efficiency, and successful waypoint coverage despite sensor and comms challenges.",Continue as planned; obstacle is outside flight path,Ascend immediately to clear the cylinder by 1m,Descend to pass under the cylinder at reduced speed,Halt propulsion and hover until the obstacle passes,Abort mission and land immediately at current position,Evasive lateral maneuver maintaining 3m separation,Transmit alert and proceed; trust swarm coordination,"[""Continue as planned; obstacle is outside flight path"", ""Ascend immediately to clear the cylinder by 1m"", ""Descend to pass under the cylinder at reduced speed"", ""Halt propulsion and hover until the obstacle passes"", ""Abort mission and land immediately at current position"", ""Evasive lateral maneuver maintaining 3m separation"", ""Transmit alert and proceed; trust swarm coordination""]","The moving cylinder poses a dynamic collision risk in confined space, requiring immediate but controlled avoidance. F ensures obstacle clearance while preserving swarm separation and minimizing risk to UAVs and infrastructure. Other options either ignore proximity hazards, violate separation, or escalate risk through unnecessary halting or descent near the ceiling boundary." 2025-11-01T18:04:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Industrial_Inspection_75e5e6f2fc70_mcq.json,uavbench-mcq-v1,SolarWing_Industrial_Inspection,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"Which action optimizes energy, safety, and coordination at Waypoint 2 with 8.5 m/s winds, a drifting obstacle, and another UAV nearby?","This UAV mission involves an industrial inspection using a solar-powered fixed-wing drone equipped with RGB and thermal cameras. The flight occurs within a defined industrial plant airspace, bounded by a 300m x 200m geofenced polygon and altitudes from 10m to 120m AGL. Weather includes strong 8.5 m/s winds from 240° with gusts up to 4.2 m/s and a risk of microbursts, impacting stability. The UAV must avoid a cylindrical no-fly zone centered at (150, 100) with a 20m radius and vertical limits from 10m to 60m. It follows a corridor-style waypoint mission with hover inspections at three points, requiring precise navigation near structures. A moving spherical obstacle drifts leftward at 2 m/s near one waypoint, demanding real-time avoidance. Another UAV is present in the airspace, flying northward, necessitating separation monitoring with a 25m minimum distance threshold. GNSS signals may suffer multipath effects due to industrial structures, and the UAV relies on IMU, barometer, and magnetometer for backup navigation. Battery endurance is critical, with a 30% reserve required and energy consumption influenced by wind and maneuvering. The mission emphasizes safety, with predefined primary and emergency landing zones and strict constraints on geofence and DAA compliance.",Climb to 110m to avoid obstacles and turbulence,Descend to 15m to reduce wind exposure and save power,"Hover at 45m, adjust heading into wind for stability","Delay hover, fly direct to next waypoint at 90m",Circle at 55m to maintain separation and camera focus,"Reduce speed to 12 m/s, approach upwind of obstacle",Execute emergency landing due to microburst risk,"[""Climb to 110m to avoid obstacles and turbulence"", ""Descend to 15m to reduce wind exposure and save power"", ""Hover at 45m, adjust heading into wind for stability"", ""Delay hover, fly direct to next waypoint at 90m"", ""Circle at 55m to maintain separation and camera focus"", ""Reduce speed to 12 m/s, approach upwind of obstacle"", ""Execute emergency landing due to microburst risk""]","Flying at 12 m/s upwind balances aerodynamic efficiency and control authority in 8.5 m/s winds. It enables real-time obstacle avoidance while conserving energy for the 30% reserve. This approach maintains safe separation from the other UAV and stays clear of the no-fly zone’s upper limit, satisfying navigation, energy, and safety constraints." 2025-11-01T18:04:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_IndustrialSurvey_Hail_27626d4e47cb_mcq.json,uavbench-mcq-v1,SolarWing_IndustrialSurvey_Hail,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"At 120s, icing reduces performance for 60s amid 7.5 m/s winds and hail. Which action maintains safety and mission success?","This UAV mission involves a fixed-wing solar-powered aircraft conducting an industrial site survey within a restricted industrial airspace. The aircraft operates at altitudes between 20 and 120 meters AGL, navigating a predefined grid of five waypoints. Weather conditions include strong winds from 240 degrees at 7.5 m/s with gusts up to 4.0 m/s, poor visibility, and active hail, increasing flight risk. The UAV is equipped with a battery-powered propulsion system, RGB camera payload, and standard navigation sensors but lacks thermal or LiDAR sensing. A no-fly zone cylinder is present near the center of the area, requiring path deviation while maintaining separation from moving obstacles. The mission requires use of a designated runway for approach and landing, aligned to heading 270 degrees. Another UAV is present in the airspace, traveling on a collision course vector, requiring DAA compliance with a 25-meter separation threshold. A simulated icing event occurs at 120 seconds, reducing performance for one minute, compounding risks in hail and wind. Communication experiences a brief downlink loss between 400 and 410 seconds, demanding autonomous resilience.",Descend to 20m AGL to reduce wind exposure during icing,Climb to 120m AGL to avoid NFZ and maintain clearance,Hold position at current waypoint until icing event ends,Proceed directly to landing runway at heading 270,Deviate eastward around NFZ while maintaining 60-90m AGL,Accelerate through hail to exit sector before 400s downlink loss,Circle west of NFZ below 25m to wait out icing and gusts,"[""Descend to 20m AGL to reduce wind exposure during icing"", ""Climb to 120m AGL to avoid NFZ and maintain clearance"", ""Hold position at current waypoint until icing event ends"", ""Proceed directly to landing runway at heading 270"", ""Deviate eastward around NFZ while maintaining 60-90m AGL"", ""Accelerate through hail to exit sector before 400s downlink loss"", ""Circle west of NFZ below 25m to wait out icing and gusts""]","E maintains safe AGL within operational limits, avoids the NFZ with lateral separation, and preserves energy during performance loss. It enables timely continuation to waypoints post-icing, respecting DAA and downlink loss constraints. Other options breach altitude, delay progress, or increase exposure to hazards." 2025-11-01T18:04:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Inspection_Warehouse_Indoor_93bcbb1b7911_mcq.json,uavbench-mcq-v1,SolarWing_Inspection_Warehouse_Indoor,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 295s, GNSS jamming starts in 5s with 30s duration, wind 6.5 m/s, and another UAV enters 5m left.","This is an indoor warehouse inspection mission using a solar-wing UAV equipped with RGB camera and LiDAR payload. The flight occurs in a confined polygonal airspace with a maximum altitude of 15 meters AGL and a central cylindrical no-fly zone. Moderate wind of 6.5 m/s from 240 degrees and gusts up to 3.2 m/s affect the environment, along with a lightning risk. The UAV has a battery capacity of 850 Wh and must maintain a 30% reserve for safe operation. GNSS signals are available but subject to a planned 30-second jamming fault at 300 seconds into the mission. The mission includes a corridor inspection pattern with five waypoints, requiring runway-assisted takeoff and landing. A moving spherical obstacle drifts slowly at 0.5 m/s along the X-axis near the flight path. The UAV must avoid collisions and maintain at least 5 meters separation from traffic, including another UAV entering the zone. Communication experiences a brief downlink/uplink loss between 280 and 310 seconds. Key constraints include strict altitude limits, NFZ avoidance, GNSS vulnerability, and time-critical mission execution within 600 seconds.",Continue as planned; rely on LiDAR for positioning,Ascend to 14m AGL for better signal post-jamming,Abort mission immediately due to lightning risk,Deviate left to inspect closer despite traffic,Hover in place using optical flow until GNSS returns,Proceed to next waypoint; use dead reckoning,Initiate emergency landing at nearest safe spot,"[""Continue as planned; rely on LiDAR for positioning"", ""Ascend to 14m AGL for better signal post-jamming"", ""Abort mission immediately due to lightning risk"", ""Deviate left to inspect closer despite traffic"", ""Hover in place using optical flow until GNSS returns"", ""Proceed to next waypoint; use dead reckoning"", ""Initiate emergency landing at nearest safe spot""]","GNSS loss, communication outage, and proximity to another UAV create unmanageable navigation risk. Continuing or hovering risks collision or NFZ breach. Emergency landing prioritizes safety over mission, minimizing harm amid compounded failures and environmental hazards." 2025-11-01T18:04:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Jungle_Recon_cf575dd18deb_mcq.json,uavbench-mcq-v1,SolarWing_Jungle_Recon,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 8 m/s winds from 210°, a central no-fly zone, and 600-second mission limit, which strategy maximizes reconnaissance coverage while preserving energy?","Fixed-wing solar-powered UAV conducts area reconnaissance in a jungle environment. The mission operates within a defined airspace polygon, with altitude limits between 50 and 300 meters AGL. Strong winds from 210 degrees at 8 m/s, with gusts up to 4 m/s, affect flight conditions. The UAV is equipped with RGB and thermal cameras for data collection. A no-fly zone cylinder is active at the center of the area, requiring path planning to avoid it. The UAV must maintain separation of at least 50 meters from traffic, with a time-to-closest-approach threshold of 30 seconds. One intruder UAV is present, flying eastward at 15 m/s. GNSS signals may suffer from multipath due to dense canopy, though no explicit faults are modeled. The UAV must use a designated runway for takeoff and landing, aligned at 210 degrees. Mission success depends on completing the corridor-style waypoint route within 600 seconds while respecting energy reserves and safety constraints.",Fly at 50 m AGL continuously using full camera power,Ascend to 300 m AGL and circle south of no-fly zone,Reduce camera frame rate and follow perimeter at 150 m AGL,Hover near no-fly zone edge for detailed thermal scans,Increase speed to 20 m/s to finish route early,Transmit all data in real-time at maximum bandwidth,Shut down RGB camera and fly minimum-energy glide path,"[""Fly at 50 m AGL continuously using full camera power"", ""Ascend to 300 m AGL and circle south of no-fly zone"", ""Reduce camera frame rate and follow perimeter at 150 m AGL"", ""Hover near no-fly zone edge for detailed thermal scans"", ""Increase speed to 20 m/s to finish route early"", ""Transmit all data in real-time at maximum bandwidth"", ""Shut down RGB camera and fly minimum-energy glide path""]","Reducing camera frame rate lowers power draw, extending endurance. Flying at 150 m balances wind resilience and sensor coverage while circumnavigating the no-fly zone efficiently. This option maintains mission compliance, avoids energy overuse, and ensures timely completion within thermal and power constraints." 2025-11-01T18:04:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Medical_Delivery_Volcanic_Dust_37cbca8a02a8_mcq.json,uavbench-mcq-v1,SolarWing_Medical_Delivery_Volcanic_Dust,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"Given GNSS jamming, 2 comms outages, and dynamic obstacles, which action ensures secure, stable flight to waypoint 3 at 200m AGL?","This scenario involves an emergency medical delivery mission using a solar-powered fixed-wing UAV with vertical takeoff and landing capability. The flight occurs in a restricted volcanic zone with poor visibility due to dust and active thermal updrafts. Weather conditions include strong and increasing winds with gusts, changing direction and speed with altitude. The UAV is equipped with a battery-powered propulsion system, RGB and thermal cameras, LiDAR, and full navigation sensors for challenging environments. It carries a 2 kg medical payload and must operate between 50 and 300 meters AGL within a defined polygonal airspace. A static no-fly zone surrounds a central hazard, and a dynamic no-fly zone moves slowly through the area. GNSS signals are degraded by multipath effects and moderate jamming, with additional electromagnetic interference present. The mission includes four waypoints in a corridor pattern, requiring a runway landing at a designated threshold within 10 minutes. A single other UAV and a moving spherical obstacle create collision risks, with strict separation and time-to-collision thresholds for detect-and-avoid compliance. Communication experiences two brief uplink/downlink loss windows, testing autonomy resilience.",Switch to encrypted INS with LiDAR terrain correlation,Use unverified visual odometry during uplink loss,Rely on public-key authenticated GNSS with SAASM,Increase control loop frequency to 200 Hz unencrypted,Disable intrusion detection to reduce EMI-induced lag,Transmit payload data over unencrypted telemetry link,Follow magnetic heading using uncalibrated compass,"[""Switch to encrypted INS with LiDAR terrain correlation"", ""Use unverified visual odometry during uplink loss"", ""Rely on public-key authenticated GNSS with SAASM"", ""Increase control loop frequency to 200 Hz unencrypted"", ""Disable intrusion detection to reduce EMI-induced lag"", ""Transmit payload data over unencrypted telemetry link"", ""Follow magnetic heading using uncalibrated compass""]","Encrypted INS with LiDAR correlation maintains position integrity during GNSS jamming and comms loss. It preserves control stability by fusing trusted sensor data without introducing cyber vulnerabilities. Other options expose the system to spoofing, eavesdropping, or uncontrolled behavior under interference." 2025-11-01T18:04:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Mine_Delivery_Fog_26e6e0b53564_mcq.json,uavbench-mcq-v1,SolarWing_Mine_Delivery_Fog,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"UAV must deliver payload in 600 s, avoid static/dynamic NFZs, and maintain 10 m separation amid GNSS drift and icing.","This is a delivery mission using a solar-powered fixed-wing UAV in an underground mine environment. The UAV carries a payload for transport between waypoints in a confined corridor-like airspace. The mine has poor visibility and icing conditions, with wind increasing slightly at higher altitudes. GNSS signals suffer from multipath and jamming, and electromagnetic interference is present, challenging navigation. The UAV relies on onboard sensors including lidar, camera, and inertial systems due to degraded GNSS. A static no-fly zone blocks the central area, and a dynamic no-fly zone moves slowly through the space. Another UAV and a moving spherical obstacle require separation, with a 10-meter minimum distance threshold. An icing fault occurs mid-mission, reducing performance for one minute. Communication experiences brief uplink outages, though downlink remains functional. The UAV must complete the route within 600 seconds while avoiding obstacles, maintaining airspace compliance, and preserving battery.",Climb to 120 m AGL to avoid moving obstacle and reduce wind impact.,"Descend to 40 m AGL, fly direct between waypoints using lidar updates.","Hold altitude at 80 m, proceed direct through central static NFZ gap.",Bank 45° to cut turn radius and intercept next waypoint early.,"Reroute westward, maintain 90 m AGL to avoid dynamic NFZ and sphere.",Delay reroute decision until obstacle is within 50 m detection range.,Accelerate through icing zone at max power to preserve schedule.,"[""Climb to 120 m AGL to avoid moving obstacle and reduce wind impact."", ""Descend to 40 m AGL, fly direct between waypoints using lidar updates."", ""Hold altitude at 80 m, proceed direct through central static NFZ gap."", ""Bank 45° to cut turn radius and intercept next waypoint early."", ""Reroute westward, maintain 90 m AGL to avoid dynamic NFZ and sphere."", ""Delay reroute decision until obstacle is within 50 m detection range."", ""Accelerate through icing zone at max power to preserve schedule.""]","Rerouting westward at 90 m AGL avoids the dynamic NFZ and spherical obstacle while staying clear of wind-affected higher layers. It uses lidar and inertial navigation to compensate for GNSS degradation and maintains safe separation. This path balances time, energy, and safety without violating spatial or temporal constraints." 2025-11-01T18:04:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_IndustrialSurvey_0a46f8e7ec2a4d19_a10b44fff651_mcq.json,uavbench-mcq-v1,SolarWing_IndustrialSurvey_0a46f8e7ec2a4d19,minimax/minimax-m1,9,Comparative System Reasoning,7,?,E,False,"Which configuration optimizes endurance and obstacle avoidance at 6.5 m/s wind, 25 m separation, and solar power?","This is a fixed-wing solar-powered UAV conducting an industrial site survey mission. The flight occurs within a defined polygonal airspace over an industrial plant. Weather conditions include a 6.5 m/s wind from 240 degrees with light gusts and good visibility. The UAV is equipped with a battery-powered propulsion system and carries an RGB camera payload. It must maintain altitudes between 20 and 120 meters AGL and avoid a cylindrical no-fly zone centered at (500, 400). The mission requires use of a designated runway for operations and includes a grid-pattern waypoint survey. A second UAV and a moving spherical obstacle are present, requiring separation monitoring. The UAV must maintain a minimum separation of 25 meters and a time-to-closest-approach greater than 15 seconds. GNSS, IMU, magnetometer, barometer, and camera systems are active, with no lidar or radar. The flight begins at (100, 100, 25) and must respect geofencing, battery reserves, and sensor-based navigation.",High-efficiency propeller with battery-only power,Solar-assisted power with minimal sensor suite,Lightweight frame with reduced battery capacity,Full sensor suite with maximum camera resolution,Aerodynamic design with solar recharge and GNSS-IMU fusion,High-thrust motor for gust resistance without solar charging,Redundant cameras with dual battery system,"[""High-efficiency propeller with battery-only power"", ""Solar-assisted power with minimal sensor suite"", ""Lightweight frame with reduced battery capacity"", ""Full sensor suite with maximum camera resolution"", ""Aerodynamic design with solar recharge and GNSS-IMU fusion"", ""High-thrust motor for gust resistance without solar charging"", ""Redundant cameras with dual battery system""]","E balances energy efficiency via solar recharge and accurate navigation using GNSS-IMU fusion, critical for wind compensation and obstacle separation. It maintains endurance and reliability without overburdening weight or power. Other options sacrifice either energy sustainability, sensor accuracy, or flight stability under gusts." 2025-11-01T18:04:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Offshore_Gusts_Inspection_c9c66e21c6d6_mcq.json,uavbench-mcq-v1,SolarWing_Offshore_Gusts_Inspection,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"Given 8 m/s west wind and 4.5 m/s gusts, what airspeed adjustment maintains lift while minimizing drag during rectangular inspection at 120 m AGL?","This UAV mission is an offshore inspection flight around an oil or gas platform. The solar-powered fixed-wing UAV operates in controlled offshore airspace with a maximum altitude of 120 meters AGL. Weather includes a steady 8 m/s wind from the west and strong gusts up to 4.5 m/s, impacting stability. The UAV carries a dual payload with RGB and thermal cameras for visual inspection. It is equipped with radar for obstacle detection but lacks lidar, relying on GNSS, IMU, and barometer for navigation. A static no-fly zone surrounds a central platform structure, and a moving no-fly zone simulates dynamic hazards. An additional moving spherical obstacle drifts through the area, requiring real-time avoidance. The UAV must complete a rectangular corridor inspection pattern within a 10-minute time limit. Separation from other traffic is monitored with a 25-meter threshold and 20-second time-to-closest approach limit. GNSS multipath effects near metallic structures and wind gusts pose challenges for navigation and energy management.",Increase airspeed by 10% to counteract gust-induced lift loss,Reduce airspeed by 15% to decrease induced drag in strong wind,Maintain steady airspeed to ensure constant angle of attack,Double thrust output to overcome gust-induced sideslip,Fly downwind at minimum speed to maximize endurance,Pitch up 10° when gusts hit to increase vertical lift component,Decrease angle of attack to prevent flow separation in turbulence,"[""Increase airspeed by 10% to counteract gust-induced lift loss"", ""Reduce airspeed by 15% to decrease induced drag in strong wind"", ""Maintain steady airspeed to ensure constant angle of attack"", ""Double thrust output to overcome gust-induced sideslip"", ""Fly downwind at minimum speed to maximize endurance"", ""Pitch up 10° when gusts hit to increase vertical lift component"", ""Decrease angle of attack to prevent flow separation in turbulence""]","Increasing airspeed by 10% compensates for gust-induced vertical wind shear, restoring dynamic pressure and lift. It avoids stall risk during sudden drops in relative airflow. This adjustment balances drag increase with stability needs under variable wind vectors and maintains control authority." 2025-11-01T18:04:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Offshore_Jungle_Cold_Ops_7600f029b0c1_mcq.json,uavbench-mcq-v1,SolarWing_Offshore_Jungle_Cold_Ops,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,"At 250 s, icing degrades performance at 250 m AGL with 14 m/s winds; energy is at 45%. What action balances safety, energy, and routing?","This is an offshore jungle inspection mission using a solar-powered fixed-wing UAV equipped with radar, RGB, and thermal cameras. The operation takes place in a dense jungle environment with a maximum altitude of 300 meters AGL and a minimum of 50 meters. Weather includes strong winds up to 15 m/s at higher altitudes, wind shear, and icing conditions that temporarily degrade UAV performance. The UAV is a high-efficiency solar wing type with a 12.5 kg mass and 1.8 kg payload, relying solely on battery power with a 30% reserve requirement. Significant GNSS multipath and moderate jamming (-75 dBm) are present, along with electromagnetic interference affecting navigation. The airspace contains a static no-fly zone over a critical area and a moving no-fly cylinder, requiring dynamic avoidance. A second UAV and a moving spherical obstacle create traffic separation challenges, with a minimum required separation of 50 meters. The mission requires runway-assisted takeoff and landing, with designated preferred and emergency landing sites. Communication experiences brief downlink outages, and the UAV must complete its inspection route within a 600-second time budget while managing energy and fault conditions like an icing event at 250 seconds.",Descend to 60 m to reduce wind exposure and save energy,Climb to 290 m for smoother air and better solar gain,Hold altitude and reduce speed to conserve battery,Turn back toward emergency landing site immediately,Increase speed to exit icing zone quickly,"Dive to 50 m AGL to escape shear, then resume course","Bank sharply to avoid obstacle, maintaining altitude","[""Descend to 60 m to reduce wind exposure and save energy"", ""Climb to 290 m for smoother air and better solar gain"", ""Hold altitude and reduce speed to conserve battery"", ""Turn back toward emergency landing site immediately"", ""Increase speed to exit icing zone quickly"", ""Dive to 50 m AGL to escape shear, then resume course"", ""Bank sharply to avoid obstacle, maintaining altitude""]","Descending to 60 m reduces wind-induced drag and energy use while staying above minimum safe altitude. It avoids icing at higher elevations and maintains separation from moving obstacles. This balances aerodynamic efficiency, energy conservation, and safety under degraded performance." 2025-11-01T18:04:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_MountainRidge_BVLOS_Hail_ccdc917a2904_mcq.json,uavbench-mcq-v1,SolarWing_MountainRidge_BVLOS_Hail,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 120 seconds, icing increases drag for 1 minute amid GNSS jamming at -85 dBm and uplink loss. What action ensures resilient navigation and control?","This is a BVLOS survey mission using a solar-powered fixed-wing UAV equipped with RGB camera payload in a mountainous underground mine environment. The airspace is constrained by a polygonal geofence with a static no-fly zone at the center and a moving no-fly cylinder drifting southwest. Strong westerly winds increase with altitude, featuring gusts and poor visibility due to hail, creating challenging flight conditions. GNSS signals suffer from multipath effects, jamming at -85 dBm, and electromagnetic interference, degrading navigation accuracy. The UAV must follow a corridor flight pattern across four waypoints within a 10-minute time budget and return to a runway-aligned takeoff and landing zone. A second UAV enters the airspace from the east, requiring separation monitoring, while a small moving spherical obstacle drifts diagonally through the route. The UAV experiences an icing event at 120 seconds, increasing drag and reducing performance for one minute. Uplink communication is lost during two critical windows, limiting remote control, though downlink remains functional. The mission demands careful energy management, obstacle avoidance, and adherence to altitude and separation constraints despite sensor and environmental challenges.",Switch to encrypted INS/GPS fusion with integrity monitoring,Rely solely on unencrypted GNSS for position updates,Disable sensor fusion to reduce computational load,Transmit unauthenticated control commands via backup link,Use open-loop actuator commands without feedback,Descend immediately using barometer-only altitude control,Override flight controller with manual joystick inputs,"[""Switch to encrypted INS/GPS fusion with integrity monitoring"", ""Rely solely on unencrypted GNSS for position updates"", ""Disable sensor fusion to reduce computational load"", ""Transmit unauthenticated control commands via backup link"", ""Use open-loop actuator commands without feedback"", ""Descend immediately using barometer-only altitude control"", ""Override flight controller with manual joystick inputs""]","A ensures integrity and availability by using encrypted, authenticated sensor fusion while mitigating jamming via INS fallback. It maintains closed-loop control during uplink loss and resists spoofing. Other options expose the system to spoofing, denial, or loss of stability." 2025-11-01T18:04:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Pipeline_Inspection_Bridge_Site_035fd5c14d7b_mcq.json,uavbench-mcq-v1,SolarWing_Pipeline_Inspection_Bridge_Site,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 200s, icing reduces performance; wind is 8.5 m/s from 240°; GNSS is jammed at -95 dBm. Which action balances safety, energy, and navigation?","This is an inspection mission using a solar-powered fixed-wing UAV equipped with RGB and thermal cameras. The operation takes place near a bridge site within a defined polygon airspace bounded from 15 to 120 meters AGL. Weather includes strong 8.5 m/s winds from 240 degrees, gusts up to 4 m/s, and icing conditions that will affect the UAV during flight. The UAV must avoid a cylindrical no-fly zone centered at (100, 125) with a 15-meter radius and vertical limits from 15 to 40 meters. GNSS signals are degraded due to multipath effects and electromagnetic interference, with moderate jamming at -95 dBm. The UAV must follow a corridor inspection pattern through five waypoints, requiring careful energy management due to high drag and limited battery capacity. A second UAV is present in the airspace, moving westward at 18 m/s, requiring separation monitoring with a 25-meter minimum distance threshold. A moving spherical obstacle drifts slowly at 2 m/s through the inspection zone near the no-fly area. The mission requires a runway for landing and includes brief communication dropouts at 150 and 400 seconds. An icing fault event occurs at 200 seconds, reducing performance for one minute, while thermal updrafts near (120, 180) may assist lift if utilized.",Climb to 110 m to avoid obstacles and updrafts,Descend to 20 m to reduce wind exposure,"Turn east toward thermal updraft at (120, 180)",Hold level flight at 60 m with increased throttle,Reduce speed to 15 m/s to conserve battery,Bank 30° toward runway for emergency landing,Follow planned path using inertial navigation only,"[""Climb to 110 m to avoid obstacles and updrafts"", ""Descend to 20 m to reduce wind exposure"", ""Turn east toward thermal updraft at (120, 180)"", ""Hold level flight at 60 m with increased throttle"", ""Reduce speed to 15 m/s to conserve battery"", ""Bank 30° toward runway for emergency landing"", ""Follow planned path using inertial navigation only""]","Turning east leverages thermal updrafts to counteract icing-induced lift loss while conserving energy. It maintains safe altitude above the no-fly zone and avoids reliance on degraded GNSS. This choice integrates aerodynamic compensation, energy efficiency, and navigation resilience under fault conditions." 2025-11-01T18:04:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Powerline_Inspection_Mountain_Icing_0a698ff30550_mcq.json,uavbench-mcq-v1,SolarWing_Powerline_Inspection_Mountain_Icing,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"At 410 m AGL, icing reduces UAV performance for 60 seconds; wind shear and GNSS degradation occur. What action prioritizes safety?","This is a powerline inspection mission using a solar-powered fixed-wing UAV equipped with RGB and thermal cameras, operating in mountainous terrain. The UAV must navigate a predefined corridor of waypoints while maintaining strict altitude limits between 60 and 450 meters AGL. The environment features strong and variable winds up to 12 m/s with wind shear across altitudes, as well as thermal updrafts near the center of the area. Icing conditions are present, with a simulated icing event reducing performance for one minute during the flight. GNSS signals are degraded due to multipath effects and electromagnetic interference, complicating navigation near structures. A no-fly zone cylinder blocks access around a sensitive area near the center of the operational polygon. The UAV must avoid a moving spherical obstacle and maintain safe separation from another UAV flying through the airspace. Communication experiences a brief downlink outage midway through the mission, requiring autonomous resilience. The mission concludes with a required runway landing approach, constrained by airspace geometry and wind direction.",Descend to 300 m AGL to escape icing and wind shear,Climb to 450 m AGL for smoother air and better GNSS,Enter thermal updraft to maintain altitude without power,Fly direct through no-fly zone to exit fast,Deploy parachute near populated valley to save UAV,Turn back toward runway despite communication loss,Maintain course with reduced control authority,"[""Descend to 300 m AGL to escape icing and wind shear"", ""Climb to 450 m AGL for smoother air and better GNSS"", ""Enter thermal updraft to maintain altitude without power"", ""Fly direct through no-fly zone to exit fast"", ""Deploy parachute near populated valley to save UAV"", ""Turn back toward runway despite communication loss"", ""Maintain course with reduced control authority""]","Descending avoids icing and wind shear while staying within safe altitude bounds and away from the no-fly zone. It prioritizes controlled flight over mission continuity, adhering to safety-of-life and lawful airspace use despite sensor degradation." 2025-11-01T18:04:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Powerline_Inspection_RunwayIncursion_DAA_955eaa116361_mcq.json,uavbench-mcq-v1,SolarWing_Powerline_Inspection_RunwayIncursion_DAA,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 180 m altitude, winds shift from 240°/6.5 m/s to 280°/11 m/s. What adjustment maintains track and lift with minimal sideslip?","This scenario involves a powerline inspection mission using a solar-powered fixed-wing UAV equipped with RGB and thermal cameras. The flight occurs in a designated corridor airspace near a runway, requiring precise navigation and runway alignment. Winds are moderate at 6.5 m/s from 240° at ground level, increasing to 11 m/s at 200 m altitude with directional shear. The UAV is a lightweight battery-powered aircraft with efficient aerodynamics, optimized for endurance and stability. A static no-fly zone blocks the central corridor, while a dynamic obstacle moves through the area, requiring real-time avoidance. Another UAV is present on a crossing path, necessitating detect-and-avoid (DAA) compliance with a 25 m separation threshold. GNSS signals experience mild jamming but no multipath, and electromagnetic interference is present, potentially affecting sensors. The mission must be completed within 600 seconds, navigating around obstacles while maintaining safe altitude and battery reserves. Communication dropouts are expected between 120–135 and 450–465 seconds, limiting telemetry. The UAV must avoid geofence breaches, maintain separation, and successfully return for a runway landing.",Increase airspeed by 3 m/s and bank 5° into wind,Reduce angle of attack to decrease induced drag,Turn 20° left to compensate drift without pitch change,Extend flaps 10° and maintain current heading,Yaw right with rudder to align fuselage with airflow,Pitch up 4° to increase lift coefficient abruptly,Cut throttle by 15% to reduce propeller torque effect,"[""Increase airspeed by 3 m/s and bank 5° into wind"", ""Reduce angle of attack to decrease induced drag"", ""Turn 20° left to compensate drift without pitch change"", ""Extend flaps 10° and maintain current heading"", ""Yaw right with rudder to align fuselage with airflow"", ""Pitch up 4° to increase lift coefficient abruptly"", ""Cut throttle by 15% to reduce propeller torque effect""]","Increasing airspeed compensates for reduced lift due to lower air density at altitude and higher wind shear. Banking into the wind countering drift aligns the lift vector to maintain coordinated flight. Other options either induce stall, misalign forces, or fail to address crosswind-induced sideslip." 2025-11-01T18:04:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Powerline_Mapping_992b820ba5a1_mcq.json,uavbench-mcq-v1,SolarWing_Powerline_Mapping,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,Which system ensures navigation during 45s GNSS jamming at 300s with 800 Wh battery and LiDAR payload?,"Mission is a powerline corridor mapping task using a solar-powered fixed-wing UAV equipped with RGB camera and LiDAR. The flight occurs in a designated powerline corridor with defined polygon geofence boundaries. Weather includes moderate winds from 240° at 6.5 m/s with gusts up to 3.2 m/s and a risk of lightning. The UAV is a solar wing type with battery power, 12.5 kg mass, and 800 Wh battery capacity. Payload includes an RGB camera and LiDAR, adding 1.2 kg with moderate aerodynamic drag. Flight altitude is constrained between 30 m and 120 m AGL with a cylindrical no-fly zone near the center. A second UAV transits through the airspace on a perpendicular path, requiring separation maintenance. A moving spherical obstacle drifts eastward at 5 m/s within the corridor. GNSS jamming fault is introduced at 300 seconds, lasting 45 seconds with high severity. Communication experiences a downlink loss window between 280 and 325 seconds.",Use GNSS-only navigation to save power,Rely solely on camera-based obstacle avoidance,Deploy IMU and LiDAR SLAM for positioning,Descend immediately to ensure safety,Switch to RGB optical flow navigation,Use predicted path without updates,Transmit all data despite downlink loss,"[""Use GNSS-only navigation to save power"", ""Rely solely on camera-based obstacle avoidance"", ""Deploy IMU and LiDAR SLAM for positioning"", ""Descend immediately to ensure safety"", ""Switch to RGB optical flow navigation"", ""Use predicted path without updates"", ""Transmit all data despite downlink loss""]","IMU and LiDAR SLAM provide accurate, jamming-resistant navigation by fusing inertial and LiDAR data. This maintains positioning during GNSS outage while supporting obstacle avoidance. Other options fail due to reliance on GNSS, insufficient accuracy, or ignoring communication and sensing constraints." 2025-11-01T18:04:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_RunwayIncursion_DAA_PowerlineCorridor_7ef42ee34174_mcq.json,uavbench-mcq-v1,SolarWing_RunwayIncursion_DAA_PowerlineCorridor,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During a 30-second comms dropout with 12 m/s west winds, how should the UAV maintain navigation integrity and avoid dynamic no-fly zones?","This scenario involves a solar-powered fixed-wing UAV conducting an inspection mission along a powerline corridor. The flight occurs in controlled airspace with a designated altitude range from 10 to 200 meters AGL. Winds are moderate at ground level but increase with altitude, reaching up to 12 m/s from the west at 200 meters, with gusts present. The UAV is equipped with GNSS, IMU, lidar, and RGB camera for navigation and inspection tasks. A static no-fly zone is located near the center of the corridor, and a dynamic no-fly zone moves through the area during the mission. An approaching aircraft enters the airspace on a potential conflict trajectory, requiring detect-and-avoid (DAA) logic to maintain safe separation. The mission includes a required runway approach at the end, with a designated threshold and heading, introducing risk of runway incursion. Communication link dropouts are scheduled at two time intervals, challenging data transmission. Electromagnetic interference is present, though GNSS multipath is not a factor. The UAV must complete its waypoint corridor pattern within a 600-second time budget while managing battery reserves and avoiding collisions.",Rely solely on encrypted GNSS with lidar terrain correlation,Switch to IMU-only dead reckoning without sensor fusion,Use unencrypted real-time updates from ground station via backup link,Execute preloaded避障 trajectory with authenticated waypoints,Accept GNSS spoofing risk to maintain position reporting,Disable DAA logic to conserve battery during link loss,Broadcast position openly to reduce transmission power,"[""Rely solely on encrypted GNSS with lidar terrain correlation"", ""Switch to IMU-only dead reckoning without sensor fusion"", ""Use unencrypted real-time updates from ground station via backup link"", ""Execute preloaded避障 trajectory with authenticated waypoints"", ""Accept GNSS spoofing risk to maintain position reporting"", ""Disable DAA logic to conserve battery during link loss"", ""Broadcast position openly to reduce transmission power""]","Encrypted GNSS resists spoofing, while lidar correlation provides physical consistency check, ensuring data integrity. This maintains control stability under comms loss and wind disturbances. Other options either expose the control loop to intrusion or abandon situational awareness." 2025-11-01T18:04:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Relay_LowVisibility_Urban_114d76042b49_mcq.json,uavbench-mcq-v1,SolarWing_Relay_LowVisibility_Urban,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,Which UAV configuration best maintains relay integrity at 150 m AGL with 12 m/s winds and icing risk?,"This mission involves a solar-powered fixed-wing UAV performing a satellite link relay in dense urban airspace. The UAV operates between 30 and 180 meters AGL within a defined polygon geofence. Poor visibility and low clouds reduce visual clarity, while icing conditions pose structural risks. Wind speeds increase with altitude, shifting from 8.5 m/s at ground level to 12 m/s at 150 meters. The UAV carries radar and RGB camera payloads for navigation and relay functions. GNSS signals suffer from multipath effects and moderate jamming, compounded by electromagnetic interference. A static no-fly zone blocks the central area, with an additional moving no-fly cylinder drifting westward. The UAV must maintain separation from other traffic and a moving spherical obstacle. A swarm of three UAVs coordinates roles including leader, relay, and scout with minimum 50-meter inter-UAV spacing. An icing fault event occurs mid-mission, reducing performance for one minute.","High-wing with de-icing, single battery, minimal redundancy","Twin-boom, dual comms, no de-icing, 60 min endurance","Low-wing, solar-recharged, radar-aided navigation, 90 min endurance","Canard design, mechanical de-icing, high drag, 45 min endurance","Flying wing, distributed payload, triple GNSS, anti-jam antenna","Pusher prop, lightweight frame, no radar, 100 min solar endurance","Dihedral wing, dual motors, de-icing, adaptive autopilot, mesh relay","[""High-wing with de-icing, single battery, minimal redundancy"", ""Twin-boom, dual comms, no de-icing, 60 min endurance"", ""Low-wing, solar-recharged, radar-aided navigation, 90 min endurance"", ""Canard design, mechanical de-icing, high drag, 45 min endurance"", ""Flying wing, distributed payload, triple GNSS, anti-jam antenna"", ""Pusher prop, lightweight frame, no radar, 100 min solar endurance"", ""Dihedral wing, dual motors, de-icing, adaptive autopilot, mesh relay""]","Option G balances aerodynamic stability in high winds, fault tolerance via dual motors, and mission continuity with adaptive control and mesh networking. It uniquely integrates de-icing and swarm relay capability, critical during the 1-minute icing fault. Other options lack either environmental robustness, redundancy, or navigation resilience under GNSS degradation." 2025-11-01T18:04:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Warehouse_with_Lightning_Risk_35be5e3e31ca_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Warehouse_with_Lightning_Risk,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,B,B,True,A VTOL tiltrotor UAV carries 12 kg in a warehouse with GNSS jamming and comms loss. How should it maintain navigation integrity?,"This scenario involves a heavy-load delivery mission inside a warehouse using a VTOL tiltrotor UAV. The UAV carries a 12 kg payload and operates within a confined indoor airspace bounded by a polygonal geofence. The environment has good visibility but includes a lightning risk, which may affect system reliability. The UAV is equipped with GNSS, IMU, lidar, and RGB camera, supporting navigation and obstacle detection. A static no-fly zone blocks the center of the warehouse, while a dynamic no-fly zone moves slowly through the area. The mission requires navigating a corridor pattern through four waypoints within a 600-second time budget. The UAV must avoid collisions with a moving obstacle and another traffic UAV while maintaining safe separation. A GNSS jamming fault occurs mid-mission, coinciding with a comms loss window, challenging resilient navigation. Key constraints include tight spatial boundaries, sensor degradation risk, and reliance on battery power with a 30% reserve requirement.",Rely solely on GNSS and retransmit position every 5 seconds,Switch to lidar-IMU dead reckoning with encrypted telemetry,Use unencrypted visual odometry from RGB camera only,Hover indefinitely until GNSS signal恢复正常,Accept controller override via unauthenticated backup radio,Navigate using unverified waypoints from cloud server,Disable intrusion detection to reduce processing latency,"[""Rely solely on GNSS and retransmit position every 5 seconds"", ""Switch to lidar-IMU dead reckoning with encrypted telemetry"", ""Use unencrypted visual odometry from RGB camera only"", ""Hover indefinitely until GNSS signal恢复正常"", ""Accept controller override via unauthenticated backup radio"", ""Navigate using unverified waypoints from cloud server"", ""Disable intrusion detection to reduce processing latency""]","Encrypted telemetry preserves data integrity during comms loss, while lidar-IMU fusion provides resilient positioning during GNSS jamming. This maintains control stability and avoids spoofing risks. Other options expose the UAV to spoofing, denial-of-service, or unauthorized control." 2025-11-01T18:04:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Runway_TouchAndGo_Mountain_Fog_e1acd9e32118_mcq.json,uavbench-mcq-v1,SolarWing_Runway_TouchAndGo_Mountain_Fog,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"At 180s, icing reduces performance for 1min; wind rises to 16m/s at 300m. How to manage energy and separation?","Mission involves a runway touch-and-go operation in mountainous terrain. The UAV is a solar-powered fixed-wing aircraft with RGB camera payload and standard avionics. Flight occurs under poor visibility due to fog and icing conditions, with strong winds increasing with altitude. Wind speed rises from 7 m/s at ground level to 16 m/s at 300 m, shifting direction from 240° to 270°. A no-fly zone is present near the runway, and a second dynamic no-fly zone moves through the airspace. GNSS signals suffer from multipath errors and moderate jamming at -75 dBm, with electromagnetic interference. The UAV must maintain separation from another UAV flying cross-path and avoid a moving spherical obstacle. An icing event reduces performance for one minute starting at 180 seconds into the mission. Brief communication dropouts occur at 120 and 300 seconds, potentially affecting command links. Strict altitude and geofence constraints apply, with minimum safe altitude set at 50 m AGL.",Climb to 350m to avoid obstacle and use full thrust,Descend to 60m AGL and reduce camera frame rate,Maintain 250m altitude with maximum GNSS refresh rate,Enter loiter mode at 100m using full avionics,Increase speed to 22m/s to exit fog early,Disable camera and ascend at 5m/s gradient,"Reduce speed to 15m/s, lower sensor power, track crosswind","[""Climb to 350m to avoid obstacle and use full thrust"", ""Descend to 60m AGL and reduce camera frame rate"", ""Maintain 250m altitude with maximum GNSS refresh rate"", ""Enter loiter mode at 100m using full avionics"", ""Increase speed to 22m/s to exit fog early"", ""Disable camera and ascend at 5m/s gradient"", ""Reduce speed to 15m/s, lower sensor power, track crosswind""]","G minimizes energy use by reducing speed and sensor load while adapting to crosswind. It maintains safe altitude and accounts for icing-induced drag. Other options waste power or violate altitude, visibility, or separation constraints." 2025-11-01T18:04:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_RunwayTouchAndGo_FoggyUrban_058764571335_mcq.json,uavbench-mcq-v1,SolarWing_RunwayTouchAndGo_FoggyUrban,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 250 seconds, icing increases drag; fog reduces visibility to 50m, GNSS at -75 dBm. Which navigation strategy maintains corridor integrity?","This UAV mission involves an inspection in a dense urban airspace with poor visibility due to fog and icing conditions. The solar-powered fixed-wing UAV is equipped with lidar, radar, and RGB camera for navigation and payload operations. It operates within a defined corridor between 30 and 150 meters AGL, avoiding static and moving no-fly zones, including a dynamic obstacle near the flight path. The mission includes a required runway touch-and-go maneuver aligned with a 90-degree heading, starting from a designated spawn point. Wind increases with altitude, reaching 12 m/s from 290 degrees at 200 meters, with gusts up to 4 m/s near the surface. GNSS signals are degraded by multipath effects and moderate jamming at -75 dBm, while electromagnetic interference is present. The UAV must manage battery reserves carefully under increased drag and power demands during an induced icing event at 250 seconds. Air traffic includes another UAV operating near thermal updrafts, requiring DAA compliance with a 25-meter separation minimum. Communication experiences brief uplink/downlink losses, and mission success depends on avoiding collisions, geofence breaches, and maintaining safe flight parameters throughout.",Prioritize GNSS with Kalman smoothing to correct multipath drift,Switch to lidar-only SLAM using pre-mapped urban corridors,Increase reliance on radar and IMU during GNSS dropouts,Use RGB optical flow for velocity estimation near the ground,Align heading exclusively via magnetometer despite EMI,Descend to 20m AGL to reduce wind and icing effects,Disable sensor fusion and fly open-loop on last known state,"[""Prioritize GNSS with Kalman smoothing to correct multipath drift"", ""Switch to lidar-only SLAM using pre-mapped urban corridors"", ""Increase reliance on radar and IMU during GNSS dropouts"", ""Use RGB optical flow for velocity estimation near the ground"", ""Align heading exclusively via magnetometer despite EMI"", ""Descend to 20m AGL to reduce wind and icing effects"", ""Disable sensor fusion and fly open-loop on last known state""]","Radar penetrates fog and is unaffected by GNSS jamming or multipath, while IMU bridges short signal losses. Fusing radar with IMU compensates for drift without relying on degraded GNSS or occluded lidar. This maintains accurate state estimation within the 30–150m AGL corridor despite environmental degradation." 2025-11-01T18:04:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_ShipDeck_Delivery_Snowfall_2f8a870690f2_mcq.json,uavbench-mcq-v1,SolarWing_ShipDeck_Delivery_Snowfall,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"At 80 m AGL in gusty 25-knot winds and snow, how should the UAV adjust pitch and airspeed to maintain lift during icing?","This UAV mission is a delivery operation conducted near an airport perimeter. The solar-powered fixed-wing UAV launches from a ship deck and must navigate through snowfall and icing conditions with poor visibility. It operates between 10 and 120 meters AGL within a defined polygonal geofence, avoiding static and moving no-fly zones. Strong, gusty winds increase with altitude and shift direction, creating challenging flight dynamics. The aircraft is equipped with RGB camera payload and standard navigation sensors but faces GNSS multipath, jamming, and electromagnetic interference. A dynamic obstacle and another UAV traffic pose separation risks, requiring DAA compliance. The mission includes a runway approach and must complete within 600 seconds. An icing fault event occurs mid-mission, reducing performance for one minute. Battery reserves are tightly managed due to high energy demands in the wind and cold. Successful delivery depends on precise navigation, energy conservation, and avoidance of airspace and obstacle violations.",Increase angle of attack to 18° to maximize lift,Reduce airspeed to 12 m/s to conserve battery,Maintain 14 m/s and decrease pitch by 2°,Increase airspeed to 17 m/s and hold pitch steady,Descend to 40 m AGL to escape wind shear,Climb rapidly at 5 m/s to reduce ice accumulation,Enter a 30° bank to reduce wind-exposed surface,"[""Increase angle of attack to 18° to maximize lift"", ""Reduce airspeed to 12 m/s to conserve battery"", ""Maintain 14 m/s and decrease pitch by 2°"", ""Increase airspeed to 17 m/s and hold pitch steady"", ""Descend to 40 m AGL to escape wind shear"", ""Climb rapidly at 5 m/s to reduce ice accumulation"", ""Enter a 30° bank to reduce wind-exposed surface""]","Increased airspeed compensates for degraded wing aerodynamics due to ice by restoring lift despite reduced camber efficiency. Holding pitch steady avoids exceeding critical angle of attack, which could trigger stall under low Reynolds number conditions. This balances energy use and control authority in dynamic wind." 2025-11-01T18:04:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_SwarmInspection_OffshorePlatform_Dust_994b40e152d7_mcq.json,uavbench-mcq-v1,SolarWing_SwarmInspection_OffshorePlatform_Dust,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which UAV configuration best balances 25m separation, 600s duration, and GNSS at -75 dBm in dusty offshore winds?","This mission involves a swarm of four solar-powered fixed-wing UAVs conducting an offshore platform inspection in dusty, poor-visibility conditions. The operation takes place in a restricted offshore airspace with a defined geofence and two no-fly zones, one of which is dynamically moving. Weather includes moderate to strong winds increasing with altitude, gusts, and dust, complicating flight stability and sensor performance. Each UAV is equipped with RGB and thermal cameras, radar, and standard navigation sensors, but faces GNSS signal degradation due to multipath and jamming at -75 dBm. Electromagnetic interference and intermittent comms loss windows further challenge control and data links. The swarm must maintain a minimum 25-meter separation while navigating a predefined corridor pattern around the platform within a 600-second time limit. Thermal updrafts near the platform can be exploited for lift but require precise energy management. Flight occurs between 10 and 180 meters AGL, avoiding static and moving obstacles, including another UAV and a drifting spherical hazard. The mission demands robust DAA performance with a 25-meter separation threshold and 20-second TTC threshold, while ensuring safe return despite constrained landing zones and degraded GNSS.",Monocular vision-only with lightweight frame and low power draw,Dual INS-GPS with Kalman filtering and adaptive yaw control,Radar-thermal fusion with high-gain antenna and no RGB,Lidar-only navigation with real-time SLAM and high accuracy,GNSS-dependent with extended range and minimal sensor load,Solar-powered with thermal updraft harvesting and glide recovery,RF triangulation backup with low-latency mesh and RGB-only,"[""Monocular vision-only with lightweight frame and low power draw"", ""Dual INS-GPS with Kalman filtering and adaptive yaw control"", ""Radar-thermal fusion with high-gain antenna and no RGB"", ""Lidar-only navigation with real-time SLAM and high accuracy"", ""GNSS-dependent with extended range and minimal sensor load"", ""Solar-powered with thermal updraft harvesting and glide recovery"", ""RF triangulation backup with low-latency mesh and RGB-only""]","Dual INS-GPS with Kalman filtering maintains navigation integrity under GNSS degradation and multipath. Adaptive yaw control improves stability in gusts and dusty conditions. Other options fail in redundancy, sensor fusion, or energy-aware flight resilience within the geofence." 2025-11-01T18:04:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_UrbanCanyon_ThermalChallenge_06e2571fe86c_mcq.json,uavbench-mcq-v1,SolarWing_UrbanCanyon_ThermalChallenge,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 95m AGL, 11 m/s wind from 260°, GNSS at -85 dBm: which navigation mode ensures geofence integrity during corridor mapping?","This is a fixed-wing solar UAV mapping mission in a jungle environment with thermal updrafts. The aircraft operates between 10 and 120 meters AGL within a polygonal geofenced area. Winds increase with altitude, reaching 11 m/s at 100 meters, and shift direction from 240° to 260°. The UAV is equipped with GNSS, IMU, lidar, and RGB camera, but lacks thermal imaging and radar. GNSS signals are degraded by multipath effects and moderate jamming at -85 dBm. A static no-fly zone and a moving no-fly cylinder with velocity must be avoided. The mission requires runway-aligned takeoff and landing, with a 600-second time limit for completing the corridor mapping pattern. Thermal plumes provide lift opportunities at two locations, aiding energy conservation. Communications experience two brief downlink/uplink loss windows during the flight. The UAV must maintain separation from a single traffic UAV and a moving spherical obstacle.",Pure GNSS-guided path tracking,IMU-only dead reckoning,Lidar-IMU with GNSS aiding,Visual-inertial open-loop steering,Wind-compensated GNSS lock,Thermal-aided altitude hold only,Lidar-ground feature correlation,"[""Pure GNSS-guided path tracking"", ""IMU-only dead reckoning"", ""Lidar-IMU with GNSS aiding"", ""Visual-inertial open-loop steering"", ""Wind-compensated GNSS lock"", ""Thermal-aided altitude hold only"", ""Lidar-ground feature correlation""]","GNSS at -85 dBm suffers multipath and jamming, making standalone use unreliable. Lidar-IMU fusion with intermittent GNSS aiding provides robust localization by cross-validating terrain features and inertial states. This maintains geofence compliance despite wind-induced drift and degraded GNSS." 2025-11-01T18:04:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_UrbanCanyon_GNSS_Challenge_c4cb6975926e_mcq.json,uavbench-mcq-v1,SolarWing_UrbanCanyon_GNSS_Challenge,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"At 200 seconds, GNSS fails and a moving no-fly zone approaches; UAV must coordinate with second UAV crossing path at 8 m/s wind.","This is a fixed-wing UAV survey mission in rural airspace with urban canyon-like conditions. The solar-powered UAV operates under moderate winds of 8 m/s increasing with altitude and a risk of lightning. It is equipped with GNSS, IMU, lidar, and RGB camera for navigation and data collection. The mission involves flying a corridor pattern around a central thermal plume at altitudes between 30 and 180 m AGL. Significant GNSS multipath and interference are present, with a planned GNSS jamming fault at 200 seconds. A dynamic no-fly zone moves through the area, requiring real-time avoidance. The UAV must maintain separation from static and moving obstacles, including another UAV on a crossing path. Battery endurance is limited, and a runway is required for takeoff and landing. Communication dropouts occur twice during the mission, adding complexity to command and control.",Descend immediately to 30 m to avoid jamming effects,Continue corridor pattern using lidar-IMU dead reckoning,Abort mission and return to runway out of band,Climb above 180 m to escape multipath interference,Broadcast position via datalink every 2 seconds,Synchronize waypoints with other UAV using shared lidar,Halt propulsion to conserve battery during communication dropout,"[""Descend immediately to 30 m to avoid jamming effects"", ""Continue corridor pattern using lidar-IMU dead reckoning"", ""Abort mission and return to runway out of band"", ""Climb above 180 m to escape multipath interference"", ""Broadcast position via datalink every 2 seconds"", ""Synchronize waypoints with other UAV using shared lidar"", ""Halt propulsion to conserve battery during communication dropout""]","F ensures inter-agent situational awareness and collision avoidance by sharing real-time lidar data and aligning trajectories. It maintains mission continuity despite GNSS loss and avoids conflict with the crossing UAV. Other options either break formation, increase risk, or degrade coordination during critical phases." 2025-11-01T18:04:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Swarm_Coordination_Suburban_Microburst_aec5a6b3c4bc_mcq.json,uavbench-mcq-v1,SolarWing_Swarm_Coordination_Suburban_Microburst,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,Which UAV should adjust altitude by 20 meters to avoid the drifting sphere while staying within 30–150 m AGL and maintaining 25 m separation in 15 m/s winds?,"The mission is a coordinated swarm survey in suburban airspace with a grid flight pattern. Four solar-powered fixed-wing UAVs operate between 30 and 150 meters AGL within a defined polygonal geofence. Weather includes strong winds up to 15 m/s increasing with altitude, a microburst risk, and good visibility. Each UAV is equipped with RGB cameras, GNSS, IMU, magnetometer, and barometer, but lacks LiDAR and thermal sensors. The environment features GNSS multipath effects, moderate jamming, and electromagnetic interference. A static no-fly zone and a moving no-fly cylinder require real-time avoidance, along with a drifting spherical obstacle. Air traffic includes an intruder UAV flying westbound at 100 meters altitude. Swarm coordination enforces a minimum 25-meter inter-UAV separation with distinct roles: leader, relay, and two scouts. Communication experiences brief downlink outages, and the mission must complete within 600 seconds. Battery endurance and maintaining safe separation via DAA systems are critical constraints.",Leader ascends to 150 m for optimal wind advantage,"Relay descends to 25 m, risking AGL minimum","Scout 1 climbs to 130 m, avoiding sphere and NFZ",Scout 2 flies level at 100 m into obstacle path,"Leader drops to 30 m, increasing GNSS multipath error","Relay climbs to 140 m, causing swarm compression","Scout 1 holds course, relying on DAA for last-second turn","[""Leader ascends to 150 m for optimal wind advantage"", ""Relay descends to 25 m, risking AGL minimum"", ""Scout 1 climbs to 130 m, avoiding sphere and NFZ"", ""Scout 2 flies level at 100 m into obstacle path"", ""Leader drops to 30 m, increasing GNSS multipath error"", ""Relay climbs to 140 m, causing swarm compression"", ""Scout 1 holds course, relying on DAA for last-second turn""]","Scout 1 climbing to 130 m avoids the sphere within the allowed AGL band while preserving separation and minimizing GNSS interference. This path balances wind effects and sensor constraints without violating geofence or timing. Other options breach AGL limits, compromise separation, or ignore obstacle dynamics." 2025-11-01T18:04:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Urban_GPS_Spoofing_Lightning_60a205909bbb_mcq.json,uavbench-mcq-v1,SolarWing_Urban_GPS_Spoofing_Lightning,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"A solar UAV at (50, 50, 30) must reach (450, 450, 10) in 600s with 800 Wh, facing GNSS faults and 7.5 m/s winds.","This is a survey mission conducted in dense urban airspace using a solar-powered fixed-wing UAV equipped with RGB camera and LiDAR payload. The aircraft operates within an altitude range of 10 to 150 meters AGL, navigating a predefined grid pattern while avoiding static and dynamic no-fly zones. Weather conditions include moderate ground-level winds of 7.5 m/s from 240°, increasing with altitude, along with gusts and a risk of lightning. GNSS signals are degraded due to jamming at -85 dBm and electromagnetic interference, with scheduled GNSS spoofing and jamming faults during flight. The UAV must maintain separation of at least 25 meters from other traffic, monitored via DAA systems, while navigating around a moving obstacle and a drifting dynamic no-fly zone. Uplink communication is lost during two critical time windows, limiting remote intervention, though downlink remains functional. The flight begins at (50, 50, 30) and aims to return to a preferred landing site at (450, 450, 10), with emergency options available. Battery capacity is limited to 800 Wh, requiring efficient energy use over the 600-second mission duration. Key constraints include GNSS vulnerabilities, urban multipath effects, strict altitude and geofence compliance, and collision avoidance in a cluttered, dynamic environment.","Fly direct path, prioritize speed to conserve energy","Follow grid pattern, use LiDAR for obstacle mapping",Ascend to 150 m to avoid wind gusts and obstacles,Delay takeoff until GNSS jamming window ends,Rely on DAA to adjust path during uplink loss,Descend early to 10 m to reduce energy use,Coordinate with swarm to share navigation updates via downlink,"[""Fly direct path, prioritize speed to conserve energy"", ""Follow grid pattern, use LiDAR for obstacle mapping"", ""Ascend to 150 m to avoid wind gusts and obstacles"", ""Delay takeoff until GNSS jamming window ends"", ""Rely on DAA to adjust path during uplink loss"", ""Descend early to 10 m to reduce energy use"", ""Coordinate with swarm to share navigation updates via downlink""]","G enables resilient navigation by leveraging downlink to share situational updates despite uplink loss, ensuring swarm-wide awareness of dynamic no-fly zones and obstacles. It balances energy use and safety by distributing sensor data, maintaining coordination during GNSS faults. Other options fail by ignoring communication constraints, increasing collision risk, or violating mission timing and energy budgets." 2025-11-01T18:04:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_UrbanLoiter_Hail_7b0c5c92e68a_mcq.json,uavbench-mcq-v1,SolarWing_UrbanLoiter_Hail,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,D,False,"Given GNSS jamming, 10 m/s winds, and a 15-second DAA threshold, which action ensures resilient obstacle avoidance and control stability?","This scenario involves a solar-powered fixed-wing UAV conducting an urban inspection mission in a city canyon environment. The UAV is equipped with RGB camera and LiDAR payload for visual data collection. It operates within a confined airspace between 20 and 120 meters AGL, bounded by a polygonal geofence. Strong winds up to 10 m/s with gusts and directional shear are present, increasing with altitude. Hazardous weather includes hail and icing conditions, with a simulated icing event occurring mid-mission. GNSS signals suffer from multipath effects and moderate jamming, while electromagnetic interference degrades sensor performance. A static no-fly zone and a moving no-fly cylinder require dynamic path planning to avoid. The UAV must maintain separation from another UAV and a moving spherical obstacle, with DAA thresholds set at 25 meters and 15 seconds TTC. The mission requires loitering in an orbit pattern around key waypoints within a 10-minute time limit. Battery endurance and weather resilience are critical due to high energy consumption in turbulent conditions and potential performance loss from icing.",Increase loiter radius to extend TTC beyond 20 seconds,Disable LiDAR to reduce power use during icing event,Rely solely on GNSS for positioning to maintain accuracy,Switch to INS-GPS-aided EKF with LiDAR terrain correlation,Transmit unencrypted telemetry to reduce communication latency,Accept spoofed GNSS signals to avoid control mode switching,Override DAA alerts to maintain orbit timing under wind shear,"[""Increase loiter radius to extend TTC beyond 20 seconds"", ""Disable LiDAR to reduce power use during icing event"", ""Rely solely on GNSS for positioning to maintain accuracy"", ""Switch to INS-GPS-aided EKF with LiDAR terrain correlation"", ""Transmit unencrypted telemetry to reduce communication latency"", ""Accept spoofed GNSS signals to avoid control mode switching"", ""Override DAA alerts to maintain orbit timing under wind shear""]",D maintains position integrity by fusing trusted inertial and LiDAR data when GNSS is compromised. It preserves control stability under wind and jamming via robust state estimation. This layered approach ensures obstacle avoidance and mission continuity without relying on vulnerable signals. 2025-11-01T18:04:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_VolcanicAreaRecon_50fdf06335f8_mcq.json,uavbench-mcq-v1,SolarWing_VolcanicAreaRecon,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"During a 30-second comms dropout, two UAVs must maintain 50–400 m AGL in 8.5 m/s winds while avoiding a drifting spherical obstacle.","This is a fixed-wing solar-powered UAV conducting a survey mission in a volcanic zone. The flight occurs within a defined polygon airspace with an altitude range of 50 to 400 meters AGL. Weather includes strong winds up to 8.5 m/s, gusts, snowfall, poor visibility, and icing conditions, with variable wind profiles across altitudes. The UAV is equipped with RGB and thermal cameras for data collection but faces GNSS multipath, interference, and moderate jamming. A static no-fly zone and a moving restricted zone require dynamic avoidance, along with other air traffic and a drifting spherical obstacle. The mission requires runway-aligned takeoff and landing, with return-to-base at the end. Thermal updrafts are present and may be exploited for lift. A planned icing event reduces performance midway through the flight. Communication dropouts occur briefly at two intervals. Strict separation minima are enforced to avoid collisions with intruders.",Both descend to 50 m to minimize wind exposure and thermal drift,"One UAV ascends to 400 m for comms relay, the other continues survey",Both hold position using inertial navigation and pre-shared obstacle trajectory,"UAVs split task: one scans, one circles no-fly zone for traffic watch",Increase speed to exit obstacle area before comms resume,Synchronize descent to 100 m and reduce formation spacing by 30%,Maintain planned route using onboard sensors and predictive obstacle modeling,"[""Both descend to 50 m to minimize wind exposure and thermal drift"", ""One UAV ascends to 400 m for comms relay, the other continues survey"", ""Both hold position using inertial navigation and pre-shared obstacle trajectory"", ""UAVs split task: one scans, one circles no-fly zone for traffic watch"", ""Increase speed to exit obstacle area before comms resume"", ""Synchronize descent to 100 m and reduce formation spacing by 30%"", ""Maintain planned route using onboard sensors and predictive obstacle modeling""]","G ensures continuity of mission and safety by leveraging onboard autonomy and predictive modeling during comms loss. It preserves inter-agent situational awareness through shared prior estimates without violating separation or altitude bounds. Other options either increase risk (E, F), break coordination (D), or assume capabilities beyond degraded GNSS (A, C)." 2025-11-01T18:04:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_VTOL_Harbor_Transition_Test_1214d4532f4d_mcq.json,uavbench-mcq-v1,SolarWing_VTOL_Harbor_Transition_Test,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During simulated icing at 120m AGL with GNSS jamming, how should the UAV maintain position integrity and control?","This is a VTOL UAV inspection mission in a harbor environment. The solar-powered fixed-wing UAV transitions between vertical and forward flight to follow a corridor inspection pattern. It operates below 150 meters AGL within a defined polygonal airspace that includes static and moving no-fly zones. Winds are moderate at ground level but increase with altitude, shifting direction and creating turbulence. Poor visibility and icing conditions pose environmental hazards, with a simulated icing event occurring mid-mission. The UAV is equipped with GNSS, IMU, LiDAR, and RGB camera, but faces GNSS multipath, jamming, and electromagnetic interference. A dynamic obstacle and another UAV create traffic separation challenges requiring DAA compliance. The mission requires runway-aligned takeoff and landing, with transition phases between flight modes. Battery reserves are critical due to high hover power and wind-induced energy demand. Thermal updrafts near the harbor may aid lift but must be navigated carefully alongside wind shear and communication dropouts.",Rely solely on encrypted GNSS with SAASM for anti-spoofing,Switch to LiDAR-IMU dead reckoning with authenticated telemetry uplink,Increase RGB camera FPS to compensate for lost GNSS lock,Transmit unencrypted ADS-B for emergency DAA coordination,Disable intrusion detection to reduce IMU processing latency,Use open Wi-Fi to relay commands during communication dropouts,Engage hover mode using unverified transition commands from GCS,"[""Rely solely on encrypted GNSS with SAASM for anti-spoofing"", ""Switch to LiDAR-IMU dead reckoning with authenticated telemetry uplink"", ""Increase RGB camera FPS to compensate for lost GNSS lock"", ""Transmit unencrypted ADS-B for emergency DAA coordination"", ""Disable intrusion detection to reduce IMU processing latency"", ""Use open Wi-Fi to relay commands during communication dropouts"", ""Engage hover mode using unverified transition commands from GCS""]","LiDAR-IMU fusion provides GNSS-denied positioning with high spatial consistency, preserving control stability during jamming. Authenticated telemetry ensures command integrity despite communication dropouts. This layered approach maintains availability and confidentiality without introducing spoofable or unsecured channels." 2025-11-01T18:04:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_Warehouse_Indoor_Microburst_9b0e20b3da1d_mcq.json,uavbench-mcq-v1,SolarWing_Warehouse_Indoor_Microburst,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During GNSS jamming at 250–280 s with 30 s comms loss, what ensures resilient navigation and control?","This is an inspection mission using a solar-powered fixed-wing UAV in rural airspace. The UAV operates at low altitudes between 2 and 15 meters AGL within a defined polygonal airspace. Weather includes 8.5 m/s winds from 240° with gusts up to 4.5 m/s and a risk of microbursts. The UAV is equipped with GNSS, IMU, barometer, magnetometer, LiDAR, and RGB camera for navigation and inspection. A no-fly zone is present as a cylinder centered at (50, 40) with a 10-meter radius and full altitude restriction. GNSS jamming is simulated between 250–280 seconds, causing potential signal loss and navigation challenges. Communications experience a 30-second downlink/uplink loss window coinciding with the GNSS fault. A moving spherical obstacle travels westward through the no-fly zone at 2 m/s. Another UAV enters the airspace from outside, flying opposite to the mission corridor at 18 m/s. The mission requires a runway for landing and must complete within a 600-second time budget.",Switch to IMU and barometer with LiDAR terrain correlation,Increase GNSS signal gain to override jamming,Rely solely on magnetometer heading during signal loss,Transmit unencrypted telemetry to maintain contact,Accept all ground commands without cryptographic verification,Descend immediately to avoid mid-air collision,Override flight controller with manual joystick input,"[""Switch to IMU and barometer with LiDAR terrain correlation"", ""Increase GNSS signal gain to override jamming"", ""Rely solely on magnetometer heading during signal loss"", ""Transmit unencrypted telemetry to maintain contact"", ""Accept all ground commands without cryptographic verification"", ""Descend immediately to avoid mid-air collision"", ""Override flight controller with manual joystick input""]",A- Switching to IMU and barometer with LiDAR terrain correlation maintains navigation integrity during GNSS and comms loss. It preserves control stability using trusted onboard sensors without external dependencies. This layered approach mitigates spoofing and jamming risks while ensuring mission continuity. 2025-11-01T18:04:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Bridge_Inspection_at_Offshore_Platform_fc83548d36e2_mcq.json,uavbench-mcq-v1,Solar_Wing_Bridge_Inspection_at_Offshore_Platform,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"UAV must inspect bridge within 600 s, avoid drifting sphere, and return with 30% battery while winds gust to 4.5 m/s.","This mission involves a bridge inspection using a solar-powered fixed-wing UAV equipped with RGB and thermal cameras, operating near an offshore platform. The airspace is constrained between 10 and 120 meters AGL within a defined polygonal geofence. Winds are moderate at 8 m/s from 240°, increasing with altitude and including gusts up to 4.5 m/s. The UAV must avoid a static no-fly zone around the platform center and a moving exclusion zone near a dynamic obstacle. A drifting spherical obstacle travels through the area, requiring real-time path adjustments. The UAV relies on GNSS, IMU, and other sensors but may experience multipath effects near metallic structures. It must complete its inspection corridor within 600 seconds while maintaining separation from traffic and obstacles. Battery endurance is limited, with a reserve of 30% required for safe return. The UAV must land on a designated runway aligned at 85° heading. Mission success depends on completing waypoints without collisions, geofence breaches, or DAA violations.",Fly direct path; prioritize speed to save battery,Delay launch until winds drop below 6 m/s,Circle obstacle at 50 m; maintain GNSS lock,Climb to 120 m AGL for better camera coverage,Reduce speed near platform to limit multipath,Descend to 8 m AGL to evade moving sphere,Adjust heading to 240° to counter wind drift,"[""Fly direct path; prioritize speed to save battery"", ""Delay launch until winds drop below 6 m/s"", ""Circle obstacle at 50 m; maintain GNSS lock"", ""Climb to 120 m AGL for better camera coverage"", ""Reduce speed near platform to limit multipath"", ""Descend to 8 m AGL to evade moving sphere"", ""Adjust heading to 240° to counter wind drift""]","Slowing near metallic structures reduces sensor errors from multipath and improves inspection accuracy. It maintains safe altitude within geofence, avoids collision with dynamic obstacle, and preserves battery for return. Other options either breach minimum altitude, exceed time, or risk communication and navigation failure." 2025-11-01T18:04:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_BVLOS_Test_in_Wind_Farm_with_Microburst_Risk_0a7565d9331e_mcq.json,uavbench-mcq-v1,Solar_Wing_BVLOS_Test_in_Wind_Farm_with_Microburst_Risk,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 180 m AGL, winds reach 15 m/s with GNSS jamming and 30% battery reserve. Which navigation strategy maintains course integrity?","This is a BVLOS inspection mission using a solar-powered fixed-wing UAV equipped with radar and RGB camera. The flight occurs within a wind farm located in controlled airspace with a defined geofence and altitude limits between 30 and 200 meters AGL. Winds increase with altitude, reaching 15 m/s from the west, with gusts and a risk of microbursts creating turbulence. The UAV must avoid two no-fly zones, one static and one moving, while navigating around a dynamic obstacle and another UAV on a crossing path. GNSS signals are degraded due to multipath and electromagnetic interference, with a planned jamming fault and communication dropouts. Thermal updrafts are present, potentially aiding lift, but icing conditions may affect aerodynamics during flight. The mission requires runway-assisted takeoff and landing, with a time-critical corridor pattern covering four waypoints. Battery endurance is constrained, with a 30% reserve required and energy consumption impacted by wind and manoeuvres. Faults include GNSS jamming and icing, demanding robust navigation and control despite sensor and link challenges.",Rely solely on GPS with error correction,Use radar altimeter and barometer fusion only,Switch to IMU-vision-odometry with radar updates,Follow magnetic heading ignoring wind drift,Descend to 30 m AGL to regain GNSS signal,Navigate using solar panel current feedback,Depend on preloaded waypoint GPS coordinates,"[""Rely solely on GPS with error correction"", ""Use radar altimeter and barometer fusion only"", ""Switch to IMU-vision-odometry with radar updates"", ""Follow magnetic heading ignoring wind drift"", ""Descend to 30 m AGL to regain GNSS signal"", ""Navigate using solar panel current feedback"", ""Depend on preloaded waypoint GPS coordinates""]","GNSS jamming and multipath invalidate pure GPS reliance, requiring resilient fusion. IMU-visual odometry, updated by radar for drift correction, maintains accuracy despite wind and signal loss. This method adapts to degraded GNSS and leverages available sensors without depending on unreliable signals or energy-inefficient alternatives." 2025-11-01T18:04:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Tower_Spiral_Inspection_in_Warehouse_58d42a20bd2e_mcq.json,uavbench-mcq-v1,Heavy_Lift_Tower_Spiral_Inspection_in_Warehouse,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,G,G,True,"Given a 5 m/s breeze, 30% battery reserve, and 10-minute time budget, which path optimizes the vertical spiral inspection around the central tower?","This mission involves a heavy-lift octocopter conducting an indoor tower inspection within a confined warehouse environment. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, carrying a 3 kg payload. It operates in a geofenced airspace with a cylindrical no-fly zone around the central tower structure. The flight pattern is a vertical spiral around the tower at increasing altitudes, starting and ending near the designated spawn point. Despite being indoors, wind conditions include a 5 m/s breeze and gusts, with a microburst risk affecting stability. GNSS signals may suffer from multipath interference due to warehouse walls and metal structures. The UAV must maintain strict separation from obstacles and adhere to altitude and geofence limits. Battery endurance is critical, with a 30% reserve requirement and a 10-minute time budget. The mission emphasizes precision flying, sensor data collection, and safe return despite environmental and spatial constraints. Success depends on avoiding collisions, maintaining communication, and completing the spiral inspection within energy limits.","Ascend clockwise in 5 m radius, fixed 1 m/s climb rate","Spiral counterclockwise at 3 m radius, max climb speed","Hover-scan every 2 m, then proceed upward",Reduce spiral radius to 2 m near tower apex,Increase spiral radius to 8 m to avoid gusts,Descend prior to spawn point arrival to save power,Adjust spiral radius dynamically based on LiDAR wind compensation,"[""Ascend clockwise in 5 m radius, fixed 1 m/s climb rate"", ""Spiral counterclockwise at 3 m radius, max climb speed"", ""Hover-scan every 2 m, then proceed upward"", ""Reduce spiral radius to 2 m near tower apex"", ""Increase spiral radius to 8 m to avoid gusts"", ""Descend prior to spawn point arrival to save power"", ""Adjust spiral radius dynamically based on LiDAR wind compensation""]","Dynamic spiral adjustment uses LiDAR to counteract wind-induced drift and maintain optimal sensor range. It preserves geofence separation and avoids the NFZ while minimizing energy use. Fixed or reduced radii risk collisions or inefficient climbs, violating safety or endurance constraints." 2025-11-01T18:04:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Bridge_Inspection_in_Coastal_Hot_Conditions_cf9fd52acec2_mcq.json,uavbench-mcq-v1,Solar_Wing_Bridge_Inspection_in_Coastal_Hot_Conditions,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"UAV must inspect coastal infrastructure within 10 minutes, avoid moving no-fly zone shifting west at 2 m/s, and land on runway with battery reserves.","This UAV mission involves inspecting infrastructure along a coastal corridor using a solar-powered fixed-wing drone equipped with RGB and thermal cameras, as well as LiDAR. The flight occurs in a designated coastal airspace with a maximum altitude of 150 meters AGL and a minimum of 10 meters. Weather conditions include strong winds up to 10 m/s at higher altitudes, gusts of 4 m/s, and extreme heat that may affect battery performance. A notable no-fly zone is present near the center of the area, with an additional moving no-fly zone shifting westward at 2 m/s. The UAV must avoid a dynamic obstacle moving left across the environment and maintain safe separation from another UAV traveling in the opposite direction. GNSS signals are degraded due to multipath effects and moderate interference, requiring robust navigation solutions. The drone operates under continuous control inputs and must adhere to strict separation thresholds for detect-and-avoid compliance. Communication links experience two brief dropouts during the mission, each lasting 10 seconds. The mission requires a runway for landing and must be completed within 10 minutes while avoiding geofence breaches and maintaining adequate battery reserves.",Proceed at 150 m altitude to maximize camera coverage and reduce wind impact.,Descend to 10 m AGL to improve LiDAR resolution despite stronger gusts.,Fly through moving no-fly zone to save time and complete inspection.,Abort mission immediately due to GNSS degradation and communication dropouts.,Prioritize thermal imaging over LiDAR to detect overheating in extreme heat.,Divert to alternate landing site without runway to avoid missing deadline.,"Adjust path westward, maintaining separation from dynamic obstacle and other UAV.","[""Proceed at 150 m altitude to maximize camera coverage and reduce wind impact."", ""Descend to 10 m AGL to improve LiDAR resolution despite stronger gusts."", ""Fly through moving no-fly zone to save time and complete inspection."", ""Abort mission immediately due to GNSS degradation and communication dropouts."", ""Prioritize thermal imaging over LiDAR to detect overheating in extreme heat."", ""Divert to alternate landing site without runway to avoid missing deadline."", ""Adjust path westward, maintaining separation from dynamic obstacle and other UAV.""]","The UAV must balance mission completion with airspace compliance and detect-and-avoid requirements. Option G ensures safe separation, avoids no-fly zones, and respects navigation constraints despite environmental challenges. Other options compromise safety, legality, or operational integrity." 2025-11-01T18:04:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Bridge_Inspection_in_Gusty_Conditions_655876ea5afb_mcq.json,uavbench-mcq-v1,Solar_Wing_Bridge_Inspection_in_Gusty_Conditions,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,A,False,Which path avoids the NFZ and 2nd UAV while staying 10–120 m AGL and minimizing energy use with 7.5 m/s winds from 240°?,"This mission involves a solar-powered fixed-wing UAV conducting a bridge inspection along a powerline corridor. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates in a designated airspace with a minimum altitude of 10 meters AGL and a maximum of 120 meters AGL. Winds are from 240 degrees at 7.5 m/s with gusts up to 4.2 m/s, posing challenges for stable flight. A no-fly zone cylinder is present near the center of the area, requiring careful path planning. The UAV must follow a predefined corridor pattern with five waypoints and land using a designated runway. A second UAV is present in the airspace, moving perpendicular to the mission path, requiring separation management. Communication includes two short downlink loss windows, and GNSS signal integrity may be affected near structures. The UAV must maintain at least 25 meters separation from traffic and avoid the moving obstacle near the midpoint. Battery endurance and energy management are critical due to high hover power and aerodynamic drag.","Fly direct between waypoints at 80 m AGL, adjust heading for wind drift",Descend to 5 m AGL near powerline to reduce drag and save energy,Climb to 130 m AGL for smoother air and faster transit between waypoints,Cut through NFZ center to save 18 seconds on mission time,Hold at waypoint 3 for 45 seconds to wait for 2nd UAV to pass,Turn 45° early before waypoint 4 to increase separation from traffic,"Follow exact corridor path without wind compensation, prioritizing camera alignment","[""Fly direct between waypoints at 80 m AGL, adjust heading for wind drift"", ""Descend to 5 m AGL near powerline to reduce drag and save energy"", ""Climb to 130 m AGL for smoother air and faster transit between waypoints"", ""Cut through NFZ center to save 18 seconds on mission time"", ""Hold at waypoint 3 for 45 seconds to wait for 2nd UAV to pass"", ""Turn 45° early before waypoint 4 to increase separation from traffic"", ""Follow exact corridor path without wind compensation, prioritizing camera alignment""]","Flying at 80 m AGL stays within the allowed altitude band and leverages partial wind relief while maintaining efficient lift-to-drag ratio. Adjusting heading compensates for 240° wind drift, ensuring accurate waypoint acquisition and avoiding lateral deviation near the NFZ. This path avoids prohibited zones, maintains separation, and optimizes energy and time without unnecessary maneuvers." 2025-11-01T18:04:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Corridor_Follow_at_Bridge_Site_under_Cold_Extremes_d2377389a742_mcq.json,uavbench-mcq-v1,Solar_Wing_Corridor_Follow_at_Bridge_Site_under_Cold_Extremes,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Given cold weather, icing risks, and 35m westbound UAV traffic, how should the solar UAV optimize its inspection corridor and payload use?","The mission is an inspection flight using a solar-powered fixed-wing UAV equipped with RGB camera and LiDAR payload. It operates within a designated bridge site airspace featuring a rectangular geofence and both static and moving no-fly zones. The flight occurs under cold weather conditions with icing risks and moderate winds increasing with altitude, blowing from the southwest. Wind gusts and thermal updrafts near the bridge structure add complexity to flight control. The UAV must follow a corridor inspection pattern while avoiding a cylindrical no-fly zone around the bridge and a moving obstacle simulating construction equipment. Additional constraints include GNSS signal multipath effects, electromagnetic interference, and periodic communication dropouts. Traffic from another UAV flying westbound at 35 meters requires maintaining safe separation. The aircraft must manage battery reserves carefully due to increased power draw from cold conditions and potential icing events. A required runway-aligned landing must be executed within strict altitude and geofence limits. The scenario tests robustness in navigation, energy management, and fault response under adverse environmental and operational conditions.",Fly highest leg first to maximize solar gain and reduce battery strain,"Disable LiDAR, use RGB only to save power and extend endurance",Increase airspeed to reduce exposure time to wind gusts near bridge,Circle bridge repeatedly to ensure full coverage despite moving obstacle,Transmit full LiDAR stream continuously to ground station for real-time analysis,"Descend below 30m to avoid winds, increasing hover time near no-fly zone",Alternate sensor use and reduce speed in updrafts to conserve battery,"[""Fly highest leg first to maximize solar gain and reduce battery strain"", ""Disable LiDAR, use RGB only to save power and extend endurance"", ""Increase airspeed to reduce exposure time to wind gusts near bridge"", ""Circle bridge repeatedly to ensure full coverage despite moving obstacle"", ""Transmit full LiDAR stream continuously to ground station for real-time analysis"", ""Descend below 30m to avoid winds, increasing hover time near no-fly zone"", ""Alternate sensor use and reduce speed in updrafts to conserve battery""]","Alternating sensors and slowing in updrafts reduces power demand while leveraging free lift, balancing inspection quality and energy. Cold conditions and icing increase battery drain, so adaptive power management is critical. Other options either overdraw power or increase risk without compensating energy savings." 2025-11-01T18:04:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Corridor_Follow_in_Icing_Conditions_43a703927344_mcq.json,uavbench-mcq-v1,Solar_Wing_Corridor_Follow_in_Icing_Conditions,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,F,False,"At 320 seconds, icing reduces lift while a moving no-fly cylinder approaches. Wind shifts to 270° at 15 m/s. How should the UAV respond?","Mission is a corridor survey using a solar-powered fixed-wing UAV in rural airspace. The UAV carries an RGB camera and LiDAR payload for imaging along a predefined path. Flight occurs between 30–180 meters AGL within a polygonal geofence containing static and moving no-fly zones. A dynamic no-fly cylinder moves diagonally through the area, requiring real-time avoidance. Weather includes icing conditions and moderate winds increasing with altitude, from 8 m/s at ground to 15 m/s at 200 m. Wind direction shifts from 240° to 270° with altitude, creating turbulence and navigation challenges. An icing event is simulated at 320 seconds, reducing aerodynamic efficiency for one minute. The UAV must maintain separation from a moving obstacle and another UAV traffic agent on a crossing path. GNSS signals are reliable with no multipath or jamming, but electromagnetic interference is present. Battery reserves are constrained, and mission success depends on energy management and adherence to flight rules.",Climb to 200 m for smoother air and solar recharge,Descend to 25 m AGL to reduce wind exposure,Transmit unencrypted telemetry to ground for faster reroute approval,Disable LiDAR to save power without verifying payload integrity,Accept GNSS-derived course from unauthenticated source to avoid delay,Switch to encrypted hold pattern using INS and terrain-relative navigation,Override geofence limits via remote command without local validation,"[""Climb to 200 m for smoother air and solar recharge"", ""Descend to 25 m AGL to reduce wind exposure"", ""Transmit unencrypted telemetry to ground for faster reroute approval"", ""Disable LiDAR to save power without verifying payload integrity"", ""Accept GNSS-derived course from unauthenticated source to avoid delay"", ""Switch to encrypted hold pattern using INS and terrain-relative navigation"", ""Override geofence limits via remote command without local validation""]","F maintains encrypted, authenticated control and uses INS to ensure navigation integrity during icing and wind shifts. It respects geofences locally, preserving availability and safety despite EMI and dynamic obstacles. Other options compromise security, verification, or physical resilience." 2025-11-01T18:04:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Facade_Inspection_at_Airport_Perimeter_under_Microburst_Risk_bc6d718267a4_mcq.json,uavbench-mcq-v1,Solar_Wing_Facade_Inspection_at_Airport_Perimeter_under_Microburst_Risk,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"With 15.5 m/s winds, microburst risk, and a static no-fly zone, what action minimizes risk while inspecting near the runway?","This UAV mission involves inspecting structures along the airport perimeter using a solar-powered fixed-wing hybrid drone with RGB camera payload. The operation takes place within a defined polygonal airspace near an active runway, requiring coordination with air traffic. Weather includes strong winds up to 15.5 m/s at altitude, shifting direction with height, and a risk of microbursts causing sudden wind shear. The UAV is equipped with GNSS, IMU, lidar, and other sensors but faces challenges from GNSS multipath, electromagnetic interference, and a temporary jamming event. A static no-fly zone and a moving restricted zone create dynamic obstacles requiring real-time avoidance. The drone must maintain separation from other air traffic, including an oncoming UAV approaching the area. Mission success depends on completing the inspection corridor within the time and battery limits while avoiding stalls or control loss due to wind gusts or icing conditions. The drone starts near the runway threshold and must preserve enough energy reserve for safe return and landing. Communication dropouts and sensor faults add complexity, demanding robust navigation and contingency planning throughout the flight.",Climb to 120m AGL for clearer GNSS and wind stability,Fly perimeter at 45m AGL to reduce multipath and shear exposure,Enter jammed zone early to finish before oncoming UAV arrives,Descend to 30m AGL to avoid microburst layer and save energy,Divert to alternate route beyond moving restricted zone immediately,Accelerate to complete inspection before wind direction shifts,Hover at threshold until communication stabilizes,"[""Climb to 120m AGL for clearer GNSS and wind stability"", ""Fly perimeter at 45m AGL to reduce multipath and shear exposure"", ""Enter jammed zone early to finish before oncoming UAV arrives"", ""Descend to 30m AGL to avoid microburst layer and save energy"", ""Divert to alternate route beyond moving restricted zone immediately"", ""Accelerate to complete inspection before wind direction shifts"", ""Hover at threshold until communication stabilizes""]","Flying at 45m AGL balances reduced wind shear and GNSS multipath near ground with safe separation from the runway. It avoids the microburst-prone lower layer (below 30m) and upper turbulence, while maintaining energy and visibility. Other options increase control risk, violate separation, or ignore dynamic zones." 2025-11-01T18:04:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Rain_at_Airport_Perimeter_f6d0e0458f5c_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Rain_at_Airport_Perimeter,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,F,F,True,"At 120 m AGL, 15 m/s headwind shear, and 10 kg payload, what action maintains lift with icing reducing airfoil efficiency?","This scenario involves a heavy-load delivery mission using a convertiplane UAV near an airport perimeter. The UAV carries a 10 kg payload and operates within a defined airspace bounded by a polygonal geofence, with altitude limits between 5 and 150 meters AGL. Weather conditions include rain, poor visibility, and icing, with strong and increasing winds up to 15 m/s at higher altitudes, shifting direction with height. A no-fly zone is present near the center of the area, and a dynamic no-fly zone moves through the airspace, requiring real-time avoidance. The UAV is equipped with GNSS, IMU, lidar, and RGB camera, but faces GNSS multipath, moderate jamming, and electromagnetic interference. It must follow a corridor flight pattern through three waypoints and land on a runway aligned at 260 degrees. Traffic includes another UAV approaching from outside the zone, and a moving spherical obstacle traverses the path. The mission must be completed within 600 seconds, with strict separation requirements to avoid conflicts. An icing event occurs mid-mission, reducing performance temporarily, and communication experiences brief dropouts, increasing operational risk.",Increase angle of attack to 18° for higher lift coefficient,Reduce airspeed to 12 m/s to minimize drag,Descend to 40 m AGL to escape wind shear layer,Bank 30° toward the moving obstacle to reduce exposure,Pitch down 5° to decrease angle of attack and prevent stall,Maintain 16 m/s with 12° angle of attack and full anti-icing power,Turn 180° and return to base at maximum climb rate,"[""Increase angle of attack to 18° for higher lift coefficient"", ""Reduce airspeed to 12 m/s to minimize drag"", ""Descend to 40 m AGL to escape wind shear layer"", ""Bank 30° toward the moving obstacle to reduce exposure"", ""Pitch down 5° to decrease angle of attack and prevent stall"", ""Maintain 16 m/s with 12° angle of attack and full anti-icing power"", ""Turn 180° and return to base at maximum climb rate""]","At high angle of attack, icing increases stall risk by disrupting airflow. Maintaining 16 m/s and 12° AoA balances lift generation and margin above stall. Full anti-icing power preserves airfoil performance while managing thrust and drag within available power." 2025-11-01T18:04:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Facade_Inspection_at_Wind_Farm_under_Dust_Conditions_0988f0723b97_mcq.json,uavbench-mcq-v1,Solar_Wing_Facade_Inspection_at_Wind_Farm_under_Dust_Conditions,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"Given 10-minute battery budget, 40m altitude, and 14 m/s winds, which strategy maximizes facade coverage while ensuring return?","This is an inspection mission using a solar-wing UAV equipped with RGB and thermal cameras to survey turbine facades at a wind farm. The operation takes place in a confined airspace bounded by static and dynamic no-fly zones, with a maximum altitude of 120 meters AGL. Winds are moderate to strong, increasing with altitude up to 14 m/s from the southwest, and gusts add turbulence. Visibility is poor due to dust, impairing visual navigation and sensor performance. The UAV must avoid a stationary no-fly cylinder near the center and a moving obstacle drifting westward at 2.5 m/s. A second UAV enters the airspace from the southeast, requiring separation maintenance below 25 meters threshold. GNSS signals suffer from multipath and interference, with occasional jamming at -75 dBm, challenging positioning accuracy. The flight begins at a designated spawn point and follows a rectangular corridor pattern at 40 meters altitude within a 10-minute time budget. Battery endurance is limited, and comms experience brief dropouts, demanding efficient routing and robust fault tolerance. Emergency and preferred landing zones are located at opposite corners of the geofenced area.",Fly full rectangle at max speed to finish fast,Reduce camera resolution to save power,Climb to 100m for clearer GNSS and visibility,"Skip thermal to lighten payload, use RGB only","Shorten path eastward, avoid gust zone",Hover for 3 minutes to wait out dust,Fly westward faster to counter wind drift,"[""Fly full rectangle at max speed to finish fast"", ""Reduce camera resolution to save power"", ""Climb to 100m for clearer GNSS and visibility"", ""Skip thermal to lighten payload, use RGB only"", ""Shorten path eastward, avoid gust zone"", ""Hover for 3 minutes to wait out dust"", ""Fly westward faster to counter wind drift""]","Shortening the path reduces energy use and exposure to gusts, preserving battery for critical imaging and return. It avoids high-wind altitude and dust degradation while maintaining dual-sensor use for mission integrity. This balances time, power, and data quality within endurance limits." 2025-11-01T18:04:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Facade_Inspection_in_Snowy_Wind_Farm_7dade91f353f_mcq.json,uavbench-mcq-v1,Solar_Wing_Facade_Inspection_in_Snowy_Wind_Farm,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,Solar Wing UAV faces icing at 100 m with 13.5 m/s winds; must avoid moving NFZ and maintain 100 m separation from crossing UAV.,"Solar Wing UAV conducts facade inspection in a snowy wind farm environment. Mission takes place within a defined polygonal airspace with low visibility and active snowfall. Weather includes strong winds up to 13.5 m/s at 100 m altitude and icing conditions. The UAV is a solar-powered fixed-wing with RGB and thermal cameras for visual inspection. Payload includes sensors for GNSS, IMU, barometer, lidar, and thermal imaging. Operation is constrained by a static no-fly zone around a central turbine and a moving NFZ. GNSS signals are affected by multipath and electromagnetic interference. Wind shear and thermal updrafts create challenging flight dynamics. UAV must maintain separation from a moving obstacle and another UAV on a crossing path. Icing event occurs mid-mission, reducing performance for one minute.",Climb to 120 m to avoid wind shear and thermal updrafts,Descend to 80 m AGL and continue inspection through snowfall,Initiate immediate descent and divert to nearest runway,Hold altitude and reduce speed to conserve solar energy,Turn 30° right to increase lateral separation from UAV,Pitch up to maintain lift despite ice accumulation on wings,Enter loiter pattern near central turbine for GNSS recovery,"[""Climb to 120 m to avoid wind shear and thermal updrafts"", ""Descend to 80 m AGL and continue inspection through snowfall"", ""Initiate immediate descent and divert to nearest runway"", ""Hold altitude and reduce speed to conserve solar energy"", ""Turn 30° right to increase lateral separation from UAV"", ""Pitch up to maintain lift despite ice accumulation on wings"", ""Enter loiter pattern near central turbine for GNSS recovery""]","Icing at 100 m reduces aerodynamic performance and endurance, while strong winds increase control difficulty. Continuing the mission risks loss of control or collision. Immediate descent and diversion to the runway prioritizes safety, avoids the moving NFZ and crossing UAV, and mitigates the most critical hazard: structural and control failure due to icing." 2025-11-01T18:04:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Harbor_Crosswind_Training_af3619c56b3e_mcq.json,uavbench-mcq-v1,Solar_Wing_Harbor_Crosswind_Training,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,C,False,"Given GNSS jamming and crosswinds up to 8.5 m/s, how should the UAV maintain secure, stable flight within 10 minutes?","This is a solar-powered fixed-wing UAV conducting a survey mission in a harbor airspace. The UAV operates between 10 and 120 meters AGL within a defined polygonal geofence. Winds are moderate at 8.5 m/s from 240°, increasing with altitude and shifting direction, creating crosswind conditions. The UAV is equipped with RGB camera payload and standard navigation sensors but lacks LiDAR and thermal imaging. GNSS signals are degraded due to multipath effects and electromagnetic interference, with occasional signal jamming. A static no-fly zone and a moving obstacle both restrict flight paths near key waypoints. The mission requires runway-aligned takeoff and landing, with a dynamic moving obstacle drifting westward. Traffic includes another UAV flying eastbound at low altitude. Battery endurance is limited, requiring efficient routing within the 10-minute time budget. Thermal updrafts are present and can be leveraged for energy conservation during flight.",Rely solely on encrypted GNSS with no fallback,Use unencrypted telemetry for faster control updates,Switch to INS with authenticated command verification,Disable authentication to reduce guidance latency,Fly open-loop without sensor feedback to avoid spoofing,Transmit control signals in plaintext for efficiency,Follow GPS despite anomalies to maintain mission time,"[""Rely solely on encrypted GNSS with no fallback"", ""Use unencrypted telemetry for faster control updates"", ""Switch to INS with authenticated command verification"", ""Disable authentication to reduce guidance latency"", ""Fly open-loop without sensor feedback to avoid spoofing"", ""Transmit control signals in plaintext for efficiency"", ""Follow GPS despite anomalies to maintain mission time""]","INS mitigates GNSS jamming while preserving control stability. Authenticated commands ensure cyber integrity under adversarial conditions. This balances availability, safety, and security during critical maneuvers." 2025-11-01T18:04:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Inspection_in_Urban_Canyon_with_Fog_fc0e1e4e2b11_mcq.json,uavbench-mcq-v1,Solar_Wing_Inspection_in_Urban_Canyon_with_Fog,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,"Which UAV configuration best balances endurance, obstacle avoidance, and navigation accuracy at 120 m AGL in fog with GNSS degradation and winds up to 9 m/s?","This is an urban solar wing UAV inspection mission in a city canyon environment with fog and poor visibility. The UAV operates between 10 and 120 meters AGL within a defined polygonal geofence. Weather includes moderate wind at 6 m/s from 240 degrees, increasing with altitude, and gusts up to 3 m/s. The UAV is a fixed-wing solar-assisted type with a battery power source, carrying an RGB camera payload for visual inspection. Key constraints include a static no-fly zone near the center of the airspace and a moving no-fly zone drifting southwest. A second UAV and a moving spherical obstacle create dynamic collision risks. GNSS signals are degraded due to multipath effects and electromagnetic interference, with brief comms loss periods. The mission requires tight navigation control due to proximity to buildings and wind shear across altitude layers. Thermal updrafts near the center of the area may assist lift but complicate precise flight control. The UAV must complete its corridor inspection pattern within 600 seconds while maintaining safe separation and avoiding stalls or breaches.",Fixed-wing with solar assist and battery backup,Quadcopter with dual RTK-GNSS and lidar,Hybrid VTOL with radar altimeter and gust rejection,Fixed-wing with visual-inertial odometry and ADS-B,Rotary UAV with thermal camera and ultrasonic sensors,Solar-powered UAV with IMU-only dead reckoning,Fixed-wing with LIDAR SLAM and wind estimation model,"[""Fixed-wing with solar assist and battery backup"", ""Quadcopter with dual RTK-GNSS and lidar"", ""Hybrid VTOL with radar altimeter and gust rejection"", ""Fixed-wing with visual-inertial odometry and ADS-B"", ""Rotary UAV with thermal camera and ultrasonic sensors"", ""Solar-powered UAV with IMU-only dead reckoning"", ""Fixed-wing with LIDAR SLAM and wind estimation model""]","System G combines LIDAR SLAM for precise navigation in GNSS-degraded urban canyons with a wind estimation model to handle gusts and shear. It maintains energy efficiency via fixed-wing design and solar assist while enabling safe obstacle avoidance. Other systems lack either endurance, accurate localization, or dynamic response to environmental disturbances." 2025-11-01T18:04:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Jungle_Delivery_bf93ad04cfa5_mcq.json,uavbench-mcq-v1,Solar_Wing_Jungle_Delivery,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,A,False,"Plan a route from Waypoint 2 to 3 at 120m AGL, avoiding a moving cylinder drifting NW and a crossing UAV within 25m separation.","This is a delivery mission using a solar-powered fixed-wing UAV in a jungle environment. The UAV operates within a defined airspace from 10 to 150 meters AGL, bounded by a rectangular geofence. Weather includes moderate winds increasing with altitude, gusts, and thermal updrafts at specific locations. The UAV is equipped with standard navigation sensors and an RGB camera for payload monitoring. A static no-fly zone is present near the center, with an additional moving no-fly cylinder drifting northwest. The mission must avoid collisions with a crossing UAV and a moving spherical obstacle. GNSS signals are clear but electromagnetic interference is present, affecting comms with brief uplink/downlink losses. The UAV must follow a corridor pattern through four waypoints and land at a preferred site, requiring runway alignment. Battery endurance and reserve margins are critical due to wind and climb demands. Separation from traffic must exceed 25 meters or 20 seconds time-to-close to avoid DAA breaches.","Climb to 140m AGL, turn right arc around cylinder, descend to 120m at WP3","Descend to 90m AGL, fly direct to WP3, resume 120m on arrival","Hold at WP2 until cylinder passes, then proceed straight to WP3","Turn left, fly 100m west, then north to bypass cylinder and crossing UAV","Reduce speed by 30%, adjust heading to slip between obstacles at 120m","Ascend to 150m AGL, direct path over cylinder and UAV, descend to 120m","Shift east 50m, follow parallel track north, rejoin at WP3","[""Climb to 140m AGL, turn right arc around cylinder, descend to 120m at WP3"", ""Descend to 90m AGL, fly direct to WP3, resume 120m on arrival"", ""Hold at WP2 until cylinder passes, then proceed straight to WP3"", ""Turn left, fly 100m west, then north to bypass cylinder and crossing UAV"", ""Reduce speed by 30%, adjust heading to slip between obstacles at 120m"", ""Ascend to 150m AGL, direct path over cylinder and UAV, descend to 120m"", ""Shift east 50m, follow parallel track north, rejoin at WP3""]","Climbing to 140m AGL maintains safe vertical separation from the moving cylinder and crossing UAV while staying within the 150m ceiling. The right arc ensures lateral clearance with minimal deviation, preserving energy and time. Other options either breach AGL limits, reduce separation, or induce inefficiencies via excessive detours or delays." 2025-11-01T18:04:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Pipeline_Inspection_in_Warehouse_5fcd39a1f477_mcq.json,uavbench-mcq-v1,Solar_Wing_Pipeline_Inspection_in_Warehouse,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"Given 3 m/s wind at 120°, 8m max altitude, and 10-minute inspection, which flight profile optimizes energy, safety, and coverage?","This is an indoor pipeline inspection mission using a solar wing UAV in a warehouse environment. The airspace is confined to a 50x30 meter polygon with a maximum altitude of 8 meters AGL. Light wind conditions exist at 3 m/s from 120 degrees with minor gusts. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. A central no-fly zone cylinder restricts access around a critical area. The mission requires runway-assisted takeoff and landing due to the fixed-wing design. Flight is constrained by strict geofencing and separation monitoring for obstacle avoidance. GNSS signals may suffer from multipath interference due to indoor operation. Battery endurance is critical, with a 30% reserve required. The UAV must complete its corridor inspection pattern within 10 minutes.","Fly at 7.5m AGL, 15 m/s, downwind first leg","Fly at 3m AGL, 12 m/s, continuous thermal scan","Fly at 6m AGL, 14 m/s, crosswind initial approach","Fly at 2m AGL, 10 m/s, LiDAR-focused mode","Fly at 8m AGL, 16 m/s, direct central corridor pass","Fly at 5m AGL, 13 m/s, avoid no-fly zone by 3m","Fly at 4m AGL, 11 m/s, 30° bank turns near edges","[""Fly at 7.5m AGL, 15 m/s, downwind first leg"", ""Fly at 3m AGL, 12 m/s, continuous thermal scan"", ""Fly at 6m AGL, 14 m/s, crosswind initial approach"", ""Fly at 2m AGL, 10 m/s, LiDAR-focused mode"", ""Fly at 8m AGL, 16 m/s, direct central corridor pass"", ""Fly at 5m AGL, 13 m/s, avoid no-fly zone by 3m"", ""Fly at 4m AGL, 11 m/s, 30° bank turns near edges""]","Flying at 6m AGL balances clearance from obstacles and GNSS multipath effects near the ceiling. A crosswind approach minimizes drift-induced navigation errors and conserves energy by reducing corrective control inputs. This profile maintains safe separation, ensures sensor coverage, and preserves 30% battery within the 10-minute limit while complying with geofencing." 2025-11-01T18:04:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Facade_Inspection_at_Industrial_Plant_c510e18a48b9_mcq.json,uavbench-mcq-v1,Solar_Wing_Facade_Inspection_at_Industrial_Plant,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"Inspect 5 waypoints in 10 mins with 11 m/s winds, 5–120 m AGL limits, and a drifting no-fly cylinder. How to balance speed, stability, and avoidance?","This mission involves inspecting a solar wing facade at an industrial plant using a fixed-wing UAV equipped with RGB and thermal cameras. The operation takes place within a defined polygonal airspace bounded between 5 and 120 meters AGL. The UAV is a solar-wing type with battery power, capable of efficient lift-based flight and carrying a 0.8 kg payload with moderate drag. Weather includes strong westerly winds up to 11 m/s at altitude, gusts, and thermal updrafts near structures that may affect stability. GNSS multipath interference and electromagnetic noise are present, degrading navigation accuracy near buildings. A static no-fly zone surrounds a critical facility, and a moving no-fly cylinder drifts slowly through the area, requiring real-time avoidance. Air traffic includes a crossing UAV at 30 meters altitude, enforcing separation requirements of 25 meters and 15 seconds time-to-collision threshold. The UAV must complete a corridor inspection pattern along five waypoints within 10 minutes while avoiding obstacles and maintaining safe battery reserves. Launch and landing are planned near the facility entrance, with an emergency site available at the opposite corner.",Fly at 15 m/s at 120 m to maximize safety buffer and reduce gust impact,Descend to 5 m AGL to minimize wind exposure and thermal updraft effects,Follow exact corridor at 25 m with adaptive speed to maintain energy and separation,Delay launch until winds drop below 8 m/s to ensure stable thermal imaging,Fly direct path at 30 m/s to finish early and conserve battery for avoidance,Circle each waypoint at 40 m to ensure full coverage despite multipath errors,Rely on GNSS-only navigation to maintain precise heading in narrow corridor,"[""Fly at 15 m/s at 120 m to maximize safety buffer and reduce gust impact"", ""Descend to 5 m AGL to minimize wind exposure and thermal updraft effects"", ""Follow exact corridor at 25 m with adaptive speed to maintain energy and separation"", ""Delay launch until winds drop below 8 m/s to ensure stable thermal imaging"", ""Fly direct path at 30 m/s to finish early and conserve battery for avoidance"", ""Circle each waypoint at 40 m to ensure full coverage despite multipath errors"", ""Rely on GNSS-only navigation to maintain precise heading in narrow corridor""]","Flying at 25 m with adaptive speed balances wind resilience, battery efficiency, and separation from crossing UAV. It avoids low-altitude turbulence and GNSS degradation while staying clear of drifting no-fly zone. This ensures timely inspection within energy and safety margins." 2025-11-01T18:04:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Powerline_Inspection_01241b766e48_mcq.json,uavbench-mcq-v1,Solar_Wing_Powerline_Inspection,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 110 m AGL, UAV detects moving obstacle westward at 5 m/s; 6 m/s wind from 240°; reserve at 30%. What action minimizes risk?","This mission involves a solar-powered fixed-wing UAV conducting a powerline inspection along a defined corridor. The flight occurs in a structured airspace with a maximum altitude of 120 meters AGL and a minimum of 20 meters AGL. Weather conditions include a 6 m/s wind from 240 degrees with moderate gusts up to 3 m/s, but visibility is good. The UAV is equipped with RGB and thermal cameras for visual inspection and relies on GNSS, IMU, and other standard sensors for navigation. A static no-fly zone and a moving no-fly zone create dynamic constraints within the corridor. The UAV must avoid a moving obstacle traveling westward and maintain separation from another UAV flying through the area. Communication experiences brief loss windows, requiring robust autonomy during dropouts. Battery endurance is critical, with a reserve fraction of 30% to ensure safe return. The mission requires precise waypoint navigation with hover-like loitering at inspection points. GNSS multipath effects near powerline structures may affect positioning accuracy, demanding sensor fusion resilience.",Descend to 25 m AGL and continue mission,Climb to 120 m AGL and loiter 3 minutes,Divert north to bypass obstacle at 100 m AGL,Descend to 15 m AGL for faster inspection,"Proceed west at 110 m AGL, reducing speed","Turn east, climb to 125 m AGL, and return","Hold position at 110 m AGL, await clearance","[""Descend to 25 m AGL and continue mission"", ""Climb to 120 m AGL and loiter 3 minutes"", ""Divert north to bypass obstacle at 100 m AGL"", ""Descend to 15 m AGL for faster inspection"", ""Proceed west at 110 m AGL, reducing speed"", ""Turn east, climb to 125 m AGL, and return"", ""Hold position at 110 m AGL, await clearance""]","Diverting north at 100 m AGL stays within the 20–120 m AGL band, avoids the westbound obstacle, and maintains separation. It preserves endurance by avoiding loitering or climbing beyond limit, and reduces multipath risk by not descending too low near structures. Other options violate altitude limits, increase collision risk, or deplete reserves." 2025-11-01T18:04:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Ship_Deck_Delivery_in_Fog_b4ee21d4828b_mcq.json,uavbench-mcq-v1,Solar_Wing_Ship_Deck_Delivery_in_Fog,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"Given GNSS multipath, fog, and 6.5 m/s wind, which navigation mode ensures integrity and control during corridor transit?","This is a delivery mission using a solar-powered fixed-wing UAV equipped with a camera and LiDAR payload. The flight occurs within a confined industrial plant airspace with a maximum altitude of 60 meters AGL. Dense fog and poor visibility challenge visual navigation, while a 6.5 m/s wind from 240 degrees adds drift risk. The UAV must avoid a static no-fly zone near the center and a moving restricted cylinder shifting southwest. A second UAV and a drifting spherical obstacle create dynamic collision hazards. GNSS signals may suffer multipath due to industrial structures, and brief communication dropouts are expected. The route follows a corridor pattern from takeoff at the southeast corner to a ship deck landing site. Battery endurance is critical, with a 30% reserve required for safe return. Traffic separation must be maintained above 25 meters to avoid DAA breaches. The mission must complete within 10 minutes despite environmental and operational constraints.",Rely solely on encrypted GNSS with SAASM for position updates,Use LiDAR-SLAM fused with IMU during communication dropouts,Switch to open-loop timer-based steering in dense fog,Trust camera odometry with unverified visual landmarks,Transmit unencrypted telemetry to ground for correction,Follow GNSS despite drift near the moving restricted cylinder,Disable intrusion detection to reduce autopilot processing load,"[""Rely solely on encrypted GNSS with SAASM for position updates"", ""Use LiDAR-SLAM fused with IMU during communication dropouts"", ""Switch to open-loop timer-based steering in dense fog"", ""Trust camera odometry with unverified visual landmarks"", ""Transmit unencrypted telemetry to ground for correction"", ""Follow GNSS despite drift near the moving restricted cylinder"", ""Disable intrusion detection to reduce autopilot processing load""]","LiDAR-SLAM with IMU provides encrypted, authenticated sensor fusion, maintaining position integrity during GNSS outages. It resists spoofing and environmental interference while enabling closed-loop control. This ensures resilience against cyber-physical attacks and sustains mission continuity in degraded visibility." 2025-11-01T18:04:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Thermal_Soaring_at_Airport_Perimeter_fb0a579647a3_mcq.json,uavbench-mcq-v1,Solar_Wing_Thermal_Soaring_at_Airport_Perimeter,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,"UAV faces 18 m/s inbound traffic at 25m threshold, 300m AGL, with 10-min mission left. Prioritize?","This is a survey mission conducted by a solar-powered fixed-wing UAV equipped with RGB and thermal cameras, operating near an airport perimeter. The UAV flies within a defined airspace between 30 and 300 meters AGL, bounded by a polygonal geofence and including a static no-fly zone over a critical area. Strong winds increase with altitude, shifting direction from 240° at ground level to 260° aloft, and gusts up to 3 m/s add turbulence. Thermal updrafts are present at two locations, which the energy-efficient UAV can exploit for extended endurance. The environment includes GNSS multipath effects, moderate jamming at -75 dBm, and electromagnetic interference, challenging navigation reliability. A dynamic no-fly zone and a moving spherical obstacle require real-time avoidance, along with maintaining 30-meter separation from other swarm UAVs. Air traffic includes another UAV approaching from the southeast at 18 m/s, necessitating DAA compliance with a 25-meter separation threshold. Communication experiences brief downlink outages, and the mission requires eventual runway-aligned landing. The swarm consists of four UAVs with specialized roles, coordinating to complete the corridor survey within a 10-minute time budget.",Continue survey; separation is maintained,Descend to 30m AGL to evade conflict,Climb above 300m for thermal updrafts,Enter dynamic no-fly zone for shortcut,Abort mission; return to landing pattern,Fly toward moving obstacle to save time,Ignore DAA; thermal data is critical,"[""Continue survey; separation is maintained"", ""Descend to 30m AGL to evade conflict"", ""Climb above 300m for thermal updrafts"", ""Enter dynamic no-fly zone for shortcut"", ""Abort mission; return to landing pattern"", ""Fly toward moving obstacle to save time"", ""Ignore DAA; thermal data is critical""]",Safety of flight demands deconfliction with approaching air traffic within 25-meter DAA threshold. Continuing risks collision despite mission value. Aborting ensures compliance with airspace regulations and prioritizes human safety over data collection. 2025-11-01T18:04:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Thermal_Soaring_in_Jungle_5ac43e2a5a80_mcq.json,uavbench-mcq-v1,Solar_Wing_Thermal_Soaring_in_Jungle,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 300m AGL, 6.5 m/s wind from 240°, and icing increasing drag, how should the UAV optimize flight under GNSS interference and 25m separation?","This is a survey mission conducted in a jungle environment using a solar-powered fixed-wing UAV equipped with RGB and thermal cameras. The UAV operates within a 300-meter AGL ceiling, navigating a predefined corridor pattern through dense terrain with limited emergency landing options. Weather includes moderate winds at 6.5 m/s from 240 degrees, increasing with altitude, and icing conditions that temporarily affect aerodynamics. Thermal updrafts are present and can be exploited for energy-efficient soaring. The airspace contains static and moving no-fly zones, with the latter drifting at 1.8 m/s, requiring real-time avoidance. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference challenges sensor reliability. A second UAV and a moving spherical obstacle introduce collision risks, demanding adherence to 25-meter separation thresholds. Communication experiences brief outages, and the UAV must manage battery reserves carefully under increased drag from icing. The mission emphasizes thermal utilization, obstacle avoidance, and maintaining navigation accuracy despite environmental and technical constraints.",Descend to 200m AGL to reduce wind exposure and save energy,Climb above 300m to exploit stronger thermal updrafts for soaring,"Maintain 300m AGL, follow corridor, and use predictive obstacle avoidance",Reduce speed by 20% to lower drag impact and extend battery life,Head directly toward the nearest thermal updraft ignoring corridor path,Ascend rapidly to avoid moving obstacle despite ceiling restriction,Hover in place until GNSS signal stabilizes and path clears,"[""Descend to 200m AGL to reduce wind exposure and save energy"", ""Climb above 300m to exploit stronger thermal updrafts for soaring"", ""Maintain 300m AGL, follow corridor, and use predictive obstacle avoidance"", ""Reduce speed by 20% to lower drag impact and extend battery life"", ""Head directly toward the nearest thermal updraft ignoring corridor path"", ""Ascend rapidly to avoid moving obstacle despite ceiling restriction"", ""Hover in place until GNSS signal stabilizes and path clears""]","Maintaining 300m AGL respects the operational ceiling while balancing aerodynamic efficiency, navigation accuracy, and obstacle avoidance. It enables corridor compliance, leverages available thermals within limits, and sustains separation under communication outages. This choice integrates safety, energy, and coordination without violating environmental or technical constraints." 2025-11-01T18:04:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Tower_Spiral_Inspection_in_Hail_0084e45e5e30_mcq.json,uavbench-mcq-v1,Solar_Wing_Tower_Spiral_Inspection_in_Hail,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which UAV configuration best handles 8 m/s winds, hail, icing, and 25m separation in 600s with 30% battery reserve?","This is an inspection mission using a solar-wing UAV equipped with RGB and thermal cameras. The flight occurs in rural airspace within a 500m x 500m geofenced area. Weather includes strong 8 m/s winds from 240°, gusts up to 4.5 m/s, poor visibility, and active hail. The UAV must perform a spiral inspection pattern around a tower located near the center, avoiding a static no-fly zone and a moving no-fly cylinder. A second UAV and a moving spherical obstacle create dynamic traffic hazards. The mission enforces strict separation (25m, 15s TTC) to avoid collisions. GNSS multipath effects and periodic comms loss may affect navigation and control. An icing event occurs mid-mission, degrading performance for one minute. Battery reserve is set to 30%, limiting available energy for maneuvering. The UAV must complete the inspection within 600 seconds while maintaining safety and avoiding airspace violations.","Fixed-pitch rotor, single camera, no de-icing","Tilt-rotor, dual sensors, battery-heated wings","Lightweight frame, no thermal camera, low drag","High-wing glider, solar-only, minimal avionics","Coaxial rotors, redundant comms, no de-icing","Quadcopter, gimbal-stabilized cameras, de-icing","Fixed-wing, tail-mounted sensor, 15 min endurance","[""Fixed-pitch rotor, single camera, no de-icing"", ""Tilt-rotor, dual sensors, battery-heated wings"", ""Lightweight frame, no thermal camera, low drag"", ""High-wing glider, solar-only, minimal avionics"", ""Coaxial rotors, redundant comms, no de-icing"", ""Quadcopter, gimbal-stabilized cameras, de-icing"", ""Fixed-wing, tail-mounted sensor, 15 min endurance""]","Tilt-rotor enables hover efficiency and wind resilience, while dual sensors ensure inspection completeness. Battery-heated wings mitigate icing degradation, and system redundancy supports comms loss and dynamic obstacles. This balances endurance, safety, and mission duration under environmental and energy constraints better than less robust or unheated alternatives." 2025-11-01T18:04:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Thermal_Soaring_in_Rural_Crosswind_b5f61ba7a7bb_mcq.json,uavbench-mcq-v1,Solar_Wing_Thermal_Soaring_in_Rural_Crosswind,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 30% battery reserve, thermal updrafts at 200m, and 8.5–13.5 m/s winds, what maximizes survey coverage without violating energy limits?","This UAV mission is a survey flight in rural airspace using a solar-powered fixed-wing aircraft equipped with RGB and thermal cameras. The aircraft operates within an altitude range of 30 to 300 meters AGL, navigating a predefined corridor pattern across five waypoints. Winds are moderate at 8.5 m/s from 240° at ground level, increasing to 13.5 m/s at 200 meters with a shifting direction, creating crosswind conditions along the flight path. Two thermal updrafts are present, enabling potential energy-saving soaring maneuvers. The UAV must avoid a static no-fly zone near the center of the area and a moving cylindrical no-fly zone drifting southwest. A second UAV is flying at constant speed across the airspace, requiring separation assurance with a minimum 50-meter threshold. Communication experiences brief dropouts between 120–130 and 450–465 seconds, but GNSS signals remain strong with no multipath or jamming issues. The aircraft must return to land along a designated runway aligned with the wind for optimal approach. Battery endurance is critical, with a 30% reserve required and energy consumption influenced by drag, speed, and climb performance.",Climb continuously to 300m for better camera coverage,Fly fastest setting to complete survey before comms dropout,Soar in thermal updrafts to reduce motor power usage,Descend to 30m AGL to minimize wind-induced drift,Operate both cameras at full resolution throughout flight,Route directly through center no-fly zone to shorten path,Ignore second UAV and maintain planned collision course,"[""Climb continuously to 300m for better camera coverage"", ""Fly fastest setting to complete survey before comms dropout"", ""Soar in thermal updrafts to reduce motor power usage"", ""Descend to 30m AGL to minimize wind-induced drift"", ""Operate both cameras at full resolution throughout flight"", ""Route directly through center no-fly zone to shorten path"", ""Ignore second UAV and maintain planned collision course""]","Soaring in thermal updrafts reduces propulsion energy demand, preserving battery for critical phases. It leverages natural energy sources to extend endurance while maintaining mission progress. All other options increase power use, risk collisions, or violate safety constraints." 2025-11-01T18:04:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Wind_Farm_Inspection_Under_Microburst_Risk_f7ceca9fc414_mcq.json,uavbench-mcq-v1,Solar_Wing_Wind_Farm_Inspection_Under_Microburst_Risk,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best handles 18 m/s winds, GNSS outages, and 30-second jamming during offshore turbine inspections?","Solar-powered fixed-wing UAV conducts wind turbine inspection in an offshore wind farm. Mission operates within a defined polygonal airspace with altitude limits from 10 to 120 meters AGL. Strong winds up to 18 m/s increase with altitude and shift direction, posing control challenges. A microburst risk and gusts up to 7.5 m/s add turbulence hazards during flight. UAV is equipped with RGB and thermal cameras for visual inspection of turbine blades. Flight path includes four hover inspection waypoints in a corridor pattern, avoiding a static no-fly zone near a central turbine. A moving no-fly zone and dynamic obstacle simulate maintenance vehicles and rotating blades. GNSS signals suffer from multipath effects and jamming, with a 30-second outage simulated mid-mission. Battery endurance is limited, requiring careful energy management in headwinds and gusts. Icing conditions occur late in the mission, reducing aerodynamic performance and increasing stall risk.",Fixed-wing with solar power and GNSS backup,Quadcopter with thermal camera and no wind resistance,Hybrid VTOL with dual IMUs and blade anti-icing,Glider with max 120 m ceiling and no hover,Fixed-wing with RGB only and no redundancy,Multirotor with 20-minute endurance in headwinds,UAV with single camera and no gust compensation,"[""Fixed-wing with solar power and GNSS backup"", ""Quadcopter with thermal camera and no wind resistance"", ""Hybrid VTOL with dual IMUs and blade anti-icing"", ""Glider with max 120 m ceiling and no hover"", ""Fixed-wing with RGB only and no redundancy"", ""Multirotor with 20-minute endurance in headwinds"", ""UAV with single camera and no gust compensation""]","Hybrid VTOL supports hover at waypoints and resists wind with dual IMUs for GNSS outages. Anti-icing maintains aerodynamic performance in late-mission icing. Other options lack critical redundancy, endurance, or environmental adaptability." 2025-11-01T18:04:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Suburban_BVLOS_Fixed-Wing_Test_with_Lightning_Risk_aa580e692af4_mcq.json,uavbench-mcq-v1,Suburban_BVLOS_Fixed-Wing_Test_with_Lightning_Risk,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,A,False,"At 310s, GNSS jamming and downlink loss occur at 90m with 6.5m/s wind. What action preserves mission integrity and energy?","This is a BVLOS fixed-wing UAV mission conducting a grid survey in suburban airspace. The flight operates between 30 and 120 meters AGL within a defined polygonal geofence. A no-fly zone is present as a cylinder centered at (400, 300) with a 50-meter radius. The UAV is equipped with RGB camera payload and relies on standard sensors including GNSS, IMU, and barometer. Weather includes moderate wind at 6.5 m/s from 240°, increasing with altitude, and a risk of lightning. A moving obstacle travels westward at 2 m/s near the survey area. There is an intruder UAV flying at 90 meters altitude on a southerly heading. GNSS jamming occurs between 280 and 325 seconds with interference severity at 80%. Communication experiences a temporary downlink loss during the same period. The mission requires runway-assisted takeoff and landing, with only one preferred landing site at the start point.",Descend to 30m and continue surveying,Enter loiter mode at current position,Activate camera high-resolution mode,Climb to 120m for better signal reception,Divert toward intruder for identification,Shut down camera to save power,Return directly to base immediately,"[""Descend to 30m and continue surveying"", ""Enter loiter mode at current position"", ""Activate camera high-resolution mode"", ""Climb to 120m for better signal reception"", ""Divert toward intruder for identification"", ""Shut down camera to save power"", ""Return directly to base immediately""]","Descending to 30m reduces wind-induced power consumption and maintains terrain-relative navigation during GNSS outage. It preserves mission progress within the geofence while minimizing energy use. Continuing at lower altitude avoids unnecessary climb or return, balancing endurance and survey completion." 2025-11-01T18:04:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Solar_Wing_Tower_Spiral_Inspection_in_Crosswind_d4d3aa3305f3_mcq.json,uavbench-mcq-v1,Solar_Wing_Tower_Spiral_Inspection_in_Crosswind,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"At 400 s, during loitering at 120 m AGL in 12 m/s winds, what must the UAV prioritize with downlink loss and moving no-fly zone?","This mission involves inspecting a solar wing tower using a fixed-wing UAV equipped with RGB and thermal cameras, operating within a designated powerline corridor. The UAV has a battery capacity of 800 Wh and carries a 1.2 kg payload, relying on GNSS, IMU, lidar, and other sensors for navigation. The flight occurs in good visibility with a steady 8 m/s crosswind from the west, increasing to 12 m/s at higher altitudes, and includes gusts up to 4 m/s. The airspace restricts flight between 20 m and 150 m AGL, with a static no-fly zone around the tower and a moving no-fly cylinder drifting east to west. A dynamic obstacle moves horizontally at 1.5 m/s, and another UAV flies through the area on a fixed trajectory, requiring separation monitoring. The mission follows a spiral inspection pattern around the tower with loitering at increasing altitudes, starting from a predefined spawn point. Communication experiences brief downlink outages at 120 s and 400 s, with minimal signal degradation otherwise. Electromagnetic interference is present, but there is no GNSS multipath or jamming beyond baseline levels. Thermal updrafts near the site offer potential lift benefits, though stall risks exist due to wind conditions and maneuvering. The UAV must complete the inspection within 600 seconds while maintaining safe separation and avoiding all restricted zones.",Ascend to 150 m for better signal and thermal lift,Hold position despite wind drift to finish imaging,Abort spiral and return directly to spawn point,Adjust loiter radius east to avoid moving cylinder,Descend to 20 m to reduce wind and power use,Increase speed to exit corridor before 600 s,Sync trajectory with other UAV to share sensor data,"[""Ascend to 150 m for better signal and thermal lift"", ""Hold position despite wind drift to finish imaging"", ""Abort spiral and return directly to spawn point"", ""Adjust loiter radius east to avoid moving cylinder"", ""Descend to 20 m to reduce wind and power use"", ""Increase speed to exit corridor before 600 s"", ""Sync trajectory with other UAV to share sensor data""]","The moving no-fly cylinder drifts west to east, so adjusting east maintains separation while staying within altitude and timing constraints. Communication outages prohibit reliance on data syncing, making autonomous avoidance critical. Other options either breach airspace limits, waste energy, or ignore collision risks." 2025-11-01T18:04:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Suburban_Corridor_Follow_with_Dust_Conditions_943d444e25e9_mcq.json,uavbench-mcq-v1,Suburban_Corridor_Follow_with_Dust_Conditions,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 6 m/s winds from 240°, dust degrading GNSS, and an intruder at 8 m/s, how should the UAV optimize energy and safety?","This is a UAV survey mission in a suburban airspace corridor. The quadrotor UAV follows a linear waypoint path at a constant altitude of 25 meters AGL. The environment features moderate wind from 240 degrees at 6 m/s with gusts up to 3 m/s and poor visibility due to dust. The UAV is equipped with GNSS, IMU, camera, lidar, and other standard sensors, carrying a 0.2 kg payload. A cylindrical no-fly zone is centered at (10, 100) with an 8-meter radius and vertical limits from 10 to 60 meters. The flight corridor is confined to a 20m x 200m geofenced polygon. A single intruder UAV moves westward at 8 m/s through the airspace, requiring separation management. The minimum separation threshold is 10 meters with a time-to-closest-approach limit of 5 seconds. Dust conditions may degrade GNSS and visual sensor performance, increasing navigation risk.",Climb to 40 meters to avoid dust interference,Halt propulsion to conserve battery during gusts,Reduce camera frame rate to save power,Exit corridor and return after intruder passes,Increase speed to 12 m/s to finish faster,Circle near no-fly zone to maintain coverage,Descend to 15 meters to reduce wind exposure,"[""Climb to 40 meters to avoid dust interference"", ""Halt propulsion to conserve battery during gusts"", ""Reduce camera frame rate to save power"", ""Exit corridor and return after intruder passes"", ""Increase speed to 12 m/s to finish faster"", ""Circle near no-fly zone to maintain coverage"", ""Descend to 15 meters to reduce wind exposure""]","Reducing camera frame rate cuts power use without compromising core navigation, preserving energy for critical GNSS/IMU stabilization in degraded conditions. It maintains mission progress within the geofence while managing sensor load. Other options either increase energy use, risk separation, or waste time and power." 2025-11-01T18:04:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Suburban_Disaster_Reconnaissance_under_Low_Visibility_9d8ee847793f_mcq.json,uavbench-mcq-v1,Suburban_Disaster_Reconnaissance_under_Low_Visibility,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,How should the UAV respond to GNSS jamming at -95 dBm and 60s icing with 30% battery reserve?,"This scenario involves a disaster reconnaissance mission in a suburban airspace using a quadrotor UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs under poor visibility due to fog and icing conditions, with moderate wind at 6 m/s increasing with altitude and directional shear. The UAV must navigate a predefined corridor of waypoints while avoiding both static and dynamic no-fly zones, including a moving obstacle and a drifting no-fly cylinder. GNSS signals are degraded by multipath effects and electromagnetic interference, with brief communication loss periods during the mission. The UAV operates within an altitude range of 10–120 m AGL and must maintain separation of at least 15 m from other air traffic, such as an oncoming UAV. A critical icing event occurs mid-mission, reducing performance for 60 seconds, while battery reserve is constrained to 30%. The flight begins near the edge of the operational zone and must be completed within 600 seconds. Environmental challenges include wind gusts, limited visibility, and signal jamming at -95 dBm. The mission emphasizes resilience to sensor degradation, energy management, and dynamic obstacle avoidance. Success depends on completing reconnaissance without collisions or separation breaches despite adverse conditions.",Switch to encrypted LiDAR-inertial fusion with authenticated command handshake,Rely solely on unencrypted GNSS until signal stabilizes,Descend immediately using open-loop motor control,Broadcast unsecured position updates every 2s to confirm location,Disable telemetry encryption to reduce latency during jamming,Follow last known GPS course with open-source routing protocol,Request real-time pathing from ground station via public Wi-Fi,"[""Switch to encrypted LiDAR-inertial fusion with authenticated command handshake"", ""Rely solely on unencrypted GNSS until signal stabilizes"", ""Descend immediately using open-loop motor control"", ""Broadcast unsecured position updates every 2s to confirm location"", ""Disable telemetry encryption to reduce latency during jamming"", ""Follow last known GPS course with open-source routing protocol"", ""Request real-time pathing from ground station via public Wi-Fi""]","A ensures data integrity and control stability by using encrypted, authenticated sensor fusion when GNSS is compromised. It maintains situational awareness despite jamming and preserves battery with efficient, trusted navigation. Other options expose the UAV to spoofing, eavesdropping, or loss of control." 2025-11-01T18:04:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Suburban_Facade_Inspection_with_Convertiplane_in_Hail_a513b9d1b443_mcq.json,uavbench-mcq-v1,Suburban_Facade_Inspection_with_Convertiplane_in_Hail,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,"At 110m AGL, 15 m/s winds and post-icing, which action balances energy, control, and separation during transition near Waypoint 3?","This mission involves a convertiplane UAV conducting a facade inspection in a suburban airspace under poor visibility and active hail conditions. The UAV operates within a defined geofenced area between 5 and 120 meters AGL, navigating around a cylindrical no-fly zone near the center. Strong winds increase with altitude, shifting direction and intensifying from 7.5 m/s at ground level to 15 m/s at 100 meters. The UAV is equipped with a visual camera, LiDAR, and radar, supporting inspection tasks despite adverse weather and GNSS signal degradation from multipath and interference. An icing fault event occurs mid-mission, reducing performance for one minute. The UAV must follow a corridor flight pattern across four waypoints and return for a runway-aligned landing, with a secondary emergency site available. Air traffic includes a single oncoming UAV, and a moving spherical obstacle drifts through the operational zone. Communication dropouts are expected at two intervals, limiting command and telemetry links. Strict separation standards and low battery reserves add operational constraints, especially during transitions between hover and forward flight.",Descend to 40m to reduce wind exposure and save power,Maintain 110m for optimal GNSS signal and clearance,Climb to 120m for maximum geofence buffer and scan quality,Hover at reduced thrust to assess radar returns for obstacle,Accelerate forward to minimize crosswind drift time,Turn left to避让 oncoming UAV using LiDAR-only navigation,Delay transition to forward flight until after communication resumes,"[""Descend to 40m to reduce wind exposure and save power"", ""Maintain 110m for optimal GNSS signal and clearance"", ""Climb to 120m for maximum geofence buffer and scan quality"", ""Hover at reduced thrust to assess radar returns for obstacle"", ""Accelerate forward to minimize crosswind drift time"", ""Turn left to避让 oncoming UAV using LiDAR-only navigation"", ""Delay transition to forward flight until after communication resumes""]","Descending to 40m reduces aerodynamic load from high winds and conserves energy while improving control authority post-icing. It maintains safe separation by leveraging radar and LiDAR below multipath-affected altitudes, and stays within geofence limits. Higher altitudes increase power demand and instability, while hovering or delaying transition risks collision and inefficiency during communication dropouts." 2025-11-01T18:04:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Suburban_Facade_Inspection_with_High-Altitude_Pseudo-Satellite_UAV_under_Low_Visibility_b0a450d39061_mcq.json,uavbench-mcq-v1,Suburban_Facade_Inspection_with_High-Altitude_Pseudo-Satellite_UAV_under_Low_Visibility,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Which route adjusts for a 15 m/s wind at 200 m AGL, an icing event at 120 s, and a moving obstacle within 25 m separation?","This mission involves a high-altitude pseudo-satellite UAV conducting a facade inspection in a suburban airspace. The UAV operates between 50 and 300 meters AGL within a defined polygonal geofence that includes a cylindrical no-fly zone around a central point. Weather conditions include poor visibility, icing risks, and strong winds increasing with altitude, reaching 15 m/s at 200 meters. The UAV is equipped with a comprehensive sensor suite including GNSS, radar, LiDAR, RGB and thermal cameras, but faces GNSS multipath, jamming, and electromagnetic interference. It must follow a corridor inspection pattern along four primary waypoints before ascending to a final waypoint, all within a 600-second time budget. The UAV requires a runway for transition and must manage energy carefully due to high hover power draw and limited battery capacity. A second UAV and a moving spherical obstacle introduce traffic and collision risks, requiring adherence to a 25-meter separation threshold. An icing event fault is scheduled at 120 seconds, reducing performance for 45 seconds with severity 0.6. Communication experiences two brief downlink loss windows, and mission success depends on avoiding collisions, maintaining DAA compliance, and completing the route with sufficient battery.","Climb directly to 300 m, bypassing waypoints to save time","Follow corridor pattern at 100 m AGL, delay ascent until 250 s",Descend to 50 m AGL after WP2 to avoid obstacle and reduce wind load,"Maintain 200 m AGL, advance ascent due to downlink loss at 180 s","Reroute laterally 30 m around obstacle, hold altitude at 180 m AGL",Skip final waypoint to preserve battery after icing event,"Accelerate through corridor, reach final waypoint by 200 s","[""Climb directly to 300 m, bypassing waypoints to save time"", ""Follow corridor pattern at 100 m AGL, delay ascent until 250 s"", ""Descend to 50 m AGL after WP2 to avoid obstacle and reduce wind load"", ""Maintain 200 m AGL, advance ascent due to downlink loss at 180 s"", ""Reroute laterally 30 m around obstacle, hold altitude at 180 m AGL"", ""Skip final waypoint to preserve battery after icing event"", ""Accelerate through corridor, reach final waypoint by 200 s""]","E maintains safe 25-meter separation from the moving obstacle while operating within a stable altitude band below peak winds. It preserves the required corridor sequence and accounts for GNSS drift by avoiding NFZ proximity. Other options violate geofence, timing, or energy constraints due to excessive climb, early termination, or inefficient routing." 2025-11-01T18:04:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Suburban_Package_Delivery_with_Strong_Crosswind_3b738e8b8566_mcq.json,uavbench-mcq-v1,Suburban_Package_Delivery_with_Strong_Crosswind,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,Which path avoids both no-fly zones and maintains 25m separation under 8.5 m/s crosswind with communication outages at 120–130s?,"This is a suburban package delivery mission using a quadrotor UAV equipped with a battery-powered electric propulsion system and a 0.8 kg payload. The flight occurs in a defined suburban airspace with a geofenced rectangular area and two no-fly zones, one static and one moving. Weather conditions include a strong 8.5 m/s crosswind from the west with gusts up to 4.2 m/s, though visibility is good. The UAV carries GNSS, IMU, barometer, magnetometer, LiDAR, and RGB camera sensors for navigation and obstacle detection. It must follow a corridor-style waypoint path from spawn to delivery while avoiding restricted zones and dynamic obstacles. A moving no-fly zone drifts westward, and another moving spherical obstacle travels southward, requiring real-time path adjustments. The UAV must maintain separation of at least 25 meters from other air traffic, with a traffic alert threshold of 15 seconds time-to-closest-approach. Communication experiences brief uplink/downlink outages between seconds 120–130 and 450–460, with minimum RSSI at -85 dBm. Key constraints include limited battery capacity, wind-induced energy consumption, GNSS multipath risks near structures, and strict altitude bounds between 10 and 120 meters AGL.",Direct route through static NFZ to save time,Climb to 125 m AGL for better GNSS signal,Fly west of moving NFZ at 110 m AGL,Descend to 5 m AGL near suburban structures,Hover for 20 seconds to wait out moving obstacle,Cut south between moving obstacle and delivery point,"Reroute east, maintaining 110 m AGL and 30 m separation","[""Direct route through static NFZ to save time"", ""Climb to 125 m AGL for better GNSS signal"", ""Fly west of moving NFZ at 110 m AGL"", ""Descend to 5 m AGL near suburban structures"", ""Hover for 20 seconds to wait out moving obstacle"", ""Cut south between moving obstacle and delivery point"", ""Reroute east, maintaining 110 m AGL and 30 m separation""]","The UAV must avoid both NFZs while maintaining 10–120 m AGL and 25 m separation. Option G safely reroutes east, preserving altitude band and separation margin. It minimizes energy by avoiding hover and unnecessary climbs, while accounting for wind drift and communication latency during critical phases." 2025-11-01T18:04:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Suburban_GPS_Spoofing_Scenario_for_Fixed-Wing_UAV_7eabe16b238e_mcq.json,uavbench-mcq-v1,Suburban_GPS_Spoofing_Scenario_for_Fixed-Wing_UAV,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,"At 200s, GNSS spoofing hits; wind is 6.5 m/s from 240°; second UAV at 70m approaches. How should the UAV respond?","Fixed-wing UAV conducts a grid survey mission in suburban airspace. The UAV operates between 30 and 120 meters AGL within a defined polygonal geofence. A cylindrical no-fly zone centered at (250, 200) restricts access below 90 meters with a 30-meter radius. The UAV is equipped with RGB camera payload and relies on GNSS, IMU, magnetometer, and barometer for navigation. Weather includes moderate rain, poor visibility, 6.5 m/s winds from 240°, and gusts up to 3.2 m/s. GNSS jamming at -85 dBm and electromagnetic interference degrade positioning reliability. At 200 seconds into the mission, a severe GNSS spoofing fault occurs lasting 45 seconds. A second UAV enters the airspace from the north at 70 meters altitude, requiring separation monitoring. A moving spherical obstacle drifts through the area near waypoint one. Uplink and downlink experience brief communication losses, and runway-aligned landing is required.","Climb to 110m, reduce speed to 14 m/s, use IMU-barometer fusion","Descend to 40m, accelerate to 22 m/s, follow pre-planned grid","Hold altitude at 70m, increase engine load for stability","Turn east, fly level at 85m, rely solely on magnetometer","Enter loiter at 95m, disable GNSS, use visual odometry","Descend to 35m, switch to manual mode, continue survey","Pitch up sharply, maintain course, double sampling rate","[""Climb to 110m, reduce speed to 14 m/s, use IMU-barometer fusion"", ""Descend to 40m, accelerate to 22 m/s, follow pre-planned grid"", ""Hold altitude at 70m, increase engine load for stability"", ""Turn east, fly level at 85m, rely solely on magnetometer"", ""Enter loiter at 95m, disable GNSS, use visual odometry"", ""Descend to 35m, switch to manual mode, continue survey"", ""Pitch up sharply, maintain course, double sampling rate""]",Climbing to 110m ensures safe altitude above the 90m no-fly zone ceiling and separation from the second UAV at 70m. Reducing speed improves control authority in wind gusts and conserves energy during sensor degradation. IMU-barometer fusion compensates for GNSS spoofing while maintaining vertical accuracy and mission continuity. 2025-11-01T18:04:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Suburban_Hail_Reconnaissance_with_Fixed-Wing_UAV_bb6765ea86f5_mcq.json,uavbench-mcq-v1,Suburban_Hail_Reconnaissance_with_Fixed-Wing_UAV,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 120 m AGL, 15 m/s winds from 270°, and icing onset, what action prioritizes safety while maintaining mission integrity?","This is a fixed-wing UAV mission for disaster reconnaissance in a suburban airspace. The UAV is equipped with radar, RGB and thermal cameras to assess hail storm damage. Operations occur between 30 and 150 meters AGL within a defined geofenced polygon. A static no-fly zone and a moving no-fly cylinder must be avoided during flight. The mission follows a corridor pattern with four key waypoints and requires a runway landing. Winds increase with altitude, reaching 15 m/s from 270° at 200 meters, with gusts up to 4 m/s. Poor visibility and hail reduce environmental conditions, and GNSS signals suffer from multipath and jamming. Electromagnetic interference and temporary downlink loss add communication challenges. An icing event occurs mid-mission, affecting aerodynamics and increasing stall risk. Traffic and a moving spherical obstacle require separation monitoring using DAA thresholds.","Continue to next waypoint, accepting higher stall risk",Descend to 30 m AGL to reduce wind exposure,Climb above 200 m AGL for smoother air,Abort mission and divert to runway landing,Enter no-fly zone to avoid hail cell,Fly through moving obstacle for time efficiency,Maintain course with reduced airspeed,"[""Continue to next waypoint, accepting higher stall risk"", ""Descend to 30 m AGL to reduce wind exposure"", ""Climb above 200 m AGL for smoother air"", ""Abort mission and divert to runway landing"", ""Enter no-fly zone to avoid hail cell"", ""Fly through moving obstacle for time efficiency"", ""Maintain course with reduced airspeed""]","Aborting ensures safety given icing, wind, and degraded GNSS, which collectively increase loss-of-control risk. Continuing risks endangering populated areas or UAV loss. Mission objectives must yield to safety-of-life and lawful airspace compliance." 2025-11-01T18:04:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Suburban_Pipeline_Inspection_with_Hexacopter_in_Rain_515099c70380_mcq.json,uavbench-mcq-v1,Suburban_Pipeline_Inspection_with_Hexacopter_in_Rain,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,How should the hexacopter respond at 180s when icing reduces performance and battery drain increases by 22% under 6.5 m/s winds?,"This mission involves a hexacopter conducting a suburban pipeline inspection under rainy and icy weather conditions. The flight occurs in a bounded suburban airspace with a static no-fly zone and a moving no-fly zone that drifts over time. Winds are moderate at 6.5 m/s from 240 degrees with gusts up to 4 m/s, and visibility is poor due to rain. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, carrying a 0.7 kg inspection payload. It must follow a corridor flight pattern across four waypoints while avoiding obstacles and maintaining separation from other air traffic. A dynamic moving obstacle and a second UAV flying across the area add complexity to navigation. The hexacopter must avoid two defined no-fly zones and adhere to altitude limits between 10 m and 120 m AGL. An icing event fault is triggered at 180 seconds, reducing performance for one minute. Communication experiences a brief 10-second downlink loss, and GNSS multipath effects may occur near structures. The mission must be completed within 600 seconds while monitoring battery reserves and safety thresholds.",Ascend to 120 m for clearer GNSS signals and faster transit,Activate full thermal imaging and hover until icing clears,Reduce camera frame rate and proceed via shortest path,Deploy maximum motor thrust continuously to maintain speed,Circle waypoint 2 to wait for communication restoration,Disable LiDAR and increase speed through rain,Descend to 10 m and halt all payload sensors,"[""Ascend to 120 m for clearer GNSS signals and faster transit"", ""Activate full thermal imaging and hover until icing clears"", ""Reduce camera frame rate and proceed via shortest path"", ""Deploy maximum motor thrust continuously to maintain speed"", ""Circle waypoint 2 to wait for communication restoration"", ""Disable LiDAR and increase speed through rain"", ""Descend to 10 m and halt all payload sensors""]",Reducing sensor power and optimizing path conserves energy during increased drag from icing. It maintains mission progress within 600 s while managing battery limits. Other options waste power or risk non-completion. 2025-11-01T18:04:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Suburban_Pipeline_Inspection_with_Glider_under_Microburst_Risk_af9cb72fe9da_mcq.json,uavbench-mcq-v1,Suburban_Pipeline_Inspection_with_Glider_under_Microburst_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 180s, icing reduces UAV performance; another UAV flies west at 12 m/s. How should the glider adjust?","This is a suburban pipeline inspection mission using a fixed-wing glider UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The flight occurs in a defined rectangular airspace with a minimum altitude of 10 m AGL and a maximum of 120 m AGL. Weather includes strong winds at 8 m/s from 240° with gusts up to 4.5 m/s and a significant microburst risk, compounded by increasing wind speed and shifting direction with altitude. A notable challenge is GNSS multipath and moderate electromagnetic interference, with potential signal jamming at -95 dBm. The glider must avoid a static no-fly zone near coordinates (300, 300) and a moving obstacle near (200, 200) traveling southwest. Another dynamic no-fly zone moves through the area, requiring real-time path adjustments. The UAV follows a corridor inspection pattern with five waypoints, requiring precise navigation under a 600-second time budget. An icing event is simulated at 180 seconds, reducing performance for one minute. Communication experiences two brief downlink loss windows, and the system must maintain separation from another UAV flying westward at 12 m/s. The mission emphasizes energy efficiency, fault resilience, and adherence to safety thresholds despite environmental and operational constraints.",Climb to 120 m to avoid icing and maintain GNSS lock,Descend to 10 m to minimize wind exposure and save energy,Hold altitude and reduce speed to conserve energy temporarily,Divert southwest to share sensor data with the other UAV,Advance inspection schedule to complete tasks before 600s,Enter loiter mode at next waypoint to await communication recovery,"Follow reduced-load corridor, maintain separation, and resynchronize timing","[""Climb to 120 m to avoid icing and maintain GNSS lock"", ""Descend to 10 m to minimize wind exposure and save energy"", ""Hold altitude and reduce speed to conserve energy temporarily"", ""Divert southwest to share sensor data with the other UAV"", ""Advance inspection schedule to complete tasks before 600s"", ""Enter loiter mode at next waypoint to await communication recovery"", ""Follow reduced-load corridor, maintain separation, and resynchronize timing""]","G maintains safe separation from the westbound UAV while adapting to icing-induced performance loss. It preserves mission timing and sensor coverage by following a deconflicted, energy-aware path. This ensures coordination resilience during communication blackouts and dynamic obstacle encounters." 2025-11-01T18:04:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Suburban_Runway_Touch-and-Go_with_Gusts_eff4e0cca6f4_mcq.json,uavbench-mcq-v1,Suburban_Runway_Touch-and-Go_with_Gusts,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Which path safely executes a touch-and-go in 600 s, avoids the 30 m NFZ at (250,100), and maintains 25 m separation from intruder UAV at 30 m?","This mission involves a touch-and-go maneuver in suburban airspace using an octocopter UAV equipped with RGB camera payload and standard navigation sensors. The UAV operates within a defined rectangular geofence that includes a 400-meter runway aligned eastbound. Winds are from the west at 8 m/s with gusts up to 4.5 m/s, requiring stable crosswind handling during approach and departure. The octocopter has a total mass of 9.7 kg, including payload, and relies on battery power with a 1200 Wh capacity and 30% reserve. A no-fly zone cylinder near the runway area poses a navigational constraint at (250,100) with a 30-meter radius and 80-meter ceiling. Air traffic includes one intruder UAV flying northbound at 30 meters altitude, necessitating DAA compliance with 25-meter separation and 10-second TTC thresholds. A moving spherical obstacle drifts slowly at 2 m/s near the mission area, adding dynamic collision risk. GNSS signals may experience moderate multipath effects due to suburban structures, though no explicit signal degradation is modeled. The UAV must complete the runway pattern within 600 seconds while avoiding all obstacles, maintaining communication, and preserving battery.","Fly direct east at 40 m AGL, straight approach, no deviation","Climb to 90 m to clear NFZ, proceed on bearing 090","Approach runway from south, descending to 30 m at 200 m mark","Deviate north by 40 m around NFZ, maintain 50 m altitude","Delay approach by 30 s to let intruder pass, then descend to 25 m","Fly westbound into wind, turn at 100 m mark, descend at 5 m/s","Follow curved path south of NFZ, altitude 60 m, rejoin centerline at 150 m","[""Fly direct east at 40 m AGL, straight approach, no deviation"", ""Climb to 90 m to clear NFZ, proceed on bearing 090"", ""Approach runway from south, descending to 30 m at 200 m mark"", ""Deviate north by 40 m around NFZ, maintain 50 m altitude"", ""Delay approach by 30 s to let intruder pass, then descend to 25 m"", ""Fly westbound into wind, turn at 100 m mark, descend at 5 m/s"", ""Follow curved path south of NFZ, altitude 60 m, rejoin centerline at 150 m""]","Option G avoids the NFZ by maintaining lateral separation south while staying within geofence and altitude limits. It enables smooth rejoining of the approach path with minimal energy use and accounts for GNSS drift near structures. Other options either penetrate the NFZ, violate vertical clearance, or fail to maintain DAA separation under wind gusts." 2025-11-01T18:04:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Suburban_Snowfall_Helicopter_Swarm_Coordination_c64c08b2a56b_mcq.json,uavbench-mcq-v1,Suburban_Snowfall_Helicopter_Swarm_Coordination,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,Which strategy maximizes inspection coverage while managing battery and icing at 300s with snow and 15m traffic separation?,"This mission involves a swarm of three battery-powered helicopter UAVs conducting a suburban infrastructure inspection during active snowfall and icing conditions. The operation takes place in a defined 200m x 200m suburban airspace with a maximum altitude of 120m AGL and a minimum of 10m. Weather includes 6 m/s winds from the west, gusts up to 3.5 m/s, and poor visibility due to snow, increasing flight risk. Each UAV is equipped with GNSS, IMU, magnetometer, barometer, and an RGB camera, but lacks LiDAR and thermal sensors. A cylindrical no-fly zone of 20m radius is centered at (100,100) with a ceiling of 60m, requiring careful path planning. The swarm must follow a corridor inspection pattern with a 10m minimum separation between drones and avoid a moving spherical obstacle drifting westward. A concurrent UAV traffic agent moves through the airspace at 12 m/s, requiring dynamic separation management with a 15m threshold. Communications experience brief downlink outages between 150–160s and 400–415s, with minimum RSSI at -85 dBm. An icing fault event occurs at 300s, lasting 60s with moderate severity, impacting aerodynamics and requiring robust control. The mission must be completed within 600 seconds, with safe return and landing at designated sites despite environmental and system challenges.",Increase altitude to 110m for better visibility and camera range,Reduce camera resolution to save power during icing event,Circle no-fly zone waiting for traffic agent to clear path,Fly direct paths at 60m to minimize exposure to wind and snow,Cluster drones to share sensor data and reduce flights,Descend to 15m to avoid gusts and extend flight time,Halt all operations during downlink outages to conserve energy,"[""Increase altitude to 110m for better visibility and camera range"", ""Reduce camera resolution to save power during icing event"", ""Circle no-fly zone waiting for traffic agent to clear path"", ""Fly direct paths at 60m to minimize exposure to wind and snow"", ""Cluster drones to share sensor data and reduce flights"", ""Descend to 15m to avoid gusts and extend flight time"", ""Halt all operations during downlink outages to conserve energy""]","Reducing camera resolution cuts power consumption during the critical icing phase, preserving battery for de-icing and control. It maintains mission progress while adapting to aerodynamic losses and communication constraints. Other options either increase energy use, waste time, or compromise safety and separation." 2025-11-01T18:04:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Suburban_Search_and_Rescue_with_VTOL_Tiltrotor_674a63c64881_mcq.json,uavbench-mcq-v1,Suburban_Search_and_Rescue_with_VTOL_Tiltrotor,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 580 seconds, icing reduces efficiency; 35% battery remains. Strong winds push UAV toward moving no-fly zone. What action is required?","This is a suburban search and rescue mission using a VTOL tiltrotor UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The flight occurs in a defined rectangular airspace with a static no-fly zone over a critical area and a moving no-fly zone that drifts slowly. Weather includes strong westerly winds increasing with altitude, low visibility, and icing conditions that temporarily reduce performance. The UAV must follow a spiral search pattern around key waypoints while avoiding dynamic obstacles and other air traffic. GNSS signals are degraded by multipath and moderate jamming, requiring robust positioning solutions. The mission requires a runway approach for landing and includes a transition from forward flight to vertical landing. Battery reserves are tightly managed with a 30% reserve requirement, and flight time is limited to 600 seconds. A simulated icing fault occurs mid-mission, reducing efficiency for one minute. Communication dropouts are brief but occur near critical phases, and separation from other traffic must be maintained above 25 meters.",Continue mission; exit no-fly zone at 590 seconds,Climb to avoid obstacles; risk higher wind exposure,Abort search; prioritize vertical landing at nearest clear zone,Descend rapidly; minimize icing despite low visibility,Enter no-fly zone; complete critical SAR objective,Delay landing; maintain pattern until battery hits 20%,Transition early; align with runway approach now,"[""Continue mission; exit no-fly zone at 590 seconds"", ""Climb to avoid obstacles; risk higher wind exposure"", ""Abort search; prioritize vertical landing at nearest clear zone"", ""Descend rapidly; minimize icing despite low visibility"", ""Enter no-fly zone; complete critical SAR objective"", ""Delay landing; maintain pattern until battery hits 20%"", ""Transition early; align with runway approach now""]","Safety requires initiating landing with sufficient reserve and avoiding no-fly zones. G ensures compliance with airspace laws, maintains 30% battery margin, and prioritizes controlled approach over mission completion. Other options risk collision, legal violation, or insufficient power for safe transition." 2025-11-01T18:04:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Suburban_Search_and_Rescue_with_Helicopter_UAV_in_Hot_Weather_a6d18b936d4a_mcq.json,uavbench-mcq-v1,Suburban_Search_and_Rescue_with_Helicopter_UAV_in_Hot_Weather,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"Helicopter UAV in 200x300m SAR with 6 m/s winds from 240°, moving obstacles, and 25m separation required. Which strategy ensures reliable navigation during downlink outages?","Helicopter UAV conducts search and rescue in suburban airspace. Mission takes place in a defined 200x300 meter polygon with static and moving obstacles. Weather includes strong winds from 240° at 6 m/s, gusts up to 4 m/s, and extreme heat. UAV is battery-powered with RGB and thermal cameras, LiDAR, and full suite of sensors. Two no-fly zones: one static cylinder and one dynamic moving cylinder. Traffic includes another UAV moving at 12 m/s on a fixed heading. A moving spherical obstacle drifts diagonally through the search area. Operation constrained by 25-meter separation and 15-second time-to-collision thresholds. Communication experiences brief downlink losses at specific intervals. Mission follows a spiral search pattern with five waypoints and 10-minute time limit.",Prioritize GNSS with lidar altimeter correction,Use IMU-visual odometry fusion with thermal updates,Rely on LiDAR SLAM in all phases,Switch to magnetic heading during GPS loss,Follow spiral path using only GPS waypoints,Depend on radar for obstacle avoidance in heat,Navigate by thermal camera landmark tracking,"[""Prioritize GNSS with lidar altimeter correction"", ""Use IMU-visual odometry fusion with thermal updates"", ""Rely on LiDAR SLAM in all phases"", ""Switch to magnetic heading during GPS loss"", ""Follow spiral path using only GPS waypoints"", ""Depend on radar for obstacle avoidance in heat"", ""Navigate by thermal camera landmark tracking""]","Strong winds and heat induce GNSS drift and LiDAR refraction errors, while downlink losses demand autonomous resilience. IMU-visual odometry fuses inertial dynamics with camera flow, corrected by thermal landmarks during occlusions. This maintains accuracy when GNSS degrades and avoids magnetic interference or LiDAR limitations in extreme heat." 2025-11-01T18:04:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Suburban_Thermal_Mapping_Mission_999e014cdaad_mcq.json,uavbench-mcq-v1,Suburban_Thermal_Mapping_Mission,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Which path optimally navigates the 5-waypoint grid under 600 seconds, avoids a moving no-fly zone at 120 m AGL, and accounts for 6.5 m/s wind from 240°?","This is a suburban thermal mapping mission using a quadrotor UAV equipped with RGB and thermal cameras. The flight occurs in a defined suburban airspace with a maximum altitude of 120 meters AGL and a minimum of 10 meters. Weather includes a 6.5 m/s wind from 240 degrees with gusts up to 3.2 m/s and the presence of thermal updrafts. The UAV has a battery capacity of 320 Wh and carries a 0.3 kg payload, relying on GNSS, IMU, and other standard sensors for navigation. A static no-fly zone is present near the start area, and a moving no-fly zone drifts slowly through the environment. The mission involves following a grid pattern across five waypoints within a 600-second time limit. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV flying through the area. GNSS multipath effects may occur near buildings, and strict geofencing requires careful path planning. The mission emphasizes battery management due to wind and thermal conditions affecting energy use. Success depends on completing the mapping route without collisions, geofence breaches, or violating separation minima.","Direct ascent to 120 m, follow grid linearly ignoring wind drift",Fly at 10 m AGL to minimize exposure to gusts and updrafts,Pre-adjust heading 15° east to compensate for 240° wind vector,Descend to 10 m near buildings to escape thermal turbulence,Reroute grid sequence clockwise to exploit tailwind on leg 3,Climb to 120 m to clear moving obstacle with vertical buffer,Delay departure until moving NFZ passes the start zone,"[""Direct ascent to 120 m, follow grid linearly ignoring wind drift"", ""Fly at 10 m AGL to minimize exposure to gusts and updrafts"", ""Pre-adjust heading 15° east to compensate for 240° wind vector"", ""Descend to 10 m near buildings to escape thermal turbulence"", ""Reroute grid sequence clockwise to exploit tailwind on leg 3"", ""Climb to 120 m to clear moving obstacle with vertical buffer"", ""Delay departure until moving NFZ passes the start zone""]","Exploiting the tailwind on leg 3 reduces energy use and flight time while maintaining safe altitude above 10 m AGL. It adapts the sequence without violating geofencing or entering the moving NFZ. Other options either increase risk near structures, waste battery, or breach timing constraints." 2025-11-01T18:04:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Suburban_Waypoint_Survey_with_Strong_Crosswind_66329aa18179_mcq.json,uavbench-mcq-v1,Suburban_Waypoint_Survey_with_Strong_Crosswind,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"With 8.5 m/s crosswinds from 240°, 4.2 m/s gusts, and GNSS multipath, which navigation strategy maintains waypoint accuracy during grid survey?","This scenario involves a quadrotor UAV conducting a waypoint survey mission in a suburban airspace. The UAV is equipped with an RGB camera and standard navigation sensors, powered by a battery with a 350 Wh capacity. The mission takes place in a 500m x 400m geofenced area with a static no-fly zone near the center and a moving no-fly zone drifting southwest. Strong crosswinds of 8.5 m/s from 240 degrees, with gusts up to 4.2 m/s, challenge flight stability and energy consumption. The UAV must follow a grid-pattern survey at 50m altitude, avoiding obstacles and maintaining separation from dynamic no-fly zones and a traffic UAV flying northward. A moving spherical obstacle drifts westward at 1 m/s, requiring real-time path adjustments. GNSS signals may suffer multipath effects due to suburban structures, and brief communication losses occur between 120–135 and 450–460 seconds. The UAV must return safely within a 600-second time budget, preserving 30% battery reserve and avoiding geofence or altitude violations. Mission success depends on completing waypoints while maintaining safe separation and system integrity throughout.","Prioritize GNSS for position, ignore IMU drift during 120–135s loss",Use only visual odometry once fog reduces visibility below 100m,Fuse IMU and visual data when GNSS weak; update with baro altitude,Lock heading to magnetometer despite suburban magnetic interference,Disable obstacle avoidance to reduce processor load during gust peaks,Rely on predictive wind model without real-time sensor feedback,Switch to manual control during 450–460s comms loss to ensure path,"[""Prioritize GNSS for position, ignore IMU drift during 120–135s loss"", ""Use only visual odometry once fog reduces visibility below 100m"", ""Fuse IMU and visual data when GNSS weak; update with baro altitude"", ""Lock heading to magnetometer despite suburban magnetic interference"", ""Disable obstacle avoidance to reduce processor load during gust peaks"", ""Rely on predictive wind model without real-time sensor feedback"", ""Switch to manual control during 450–460s comms loss to ensure path""]",IMU-visual fusion compensates for GNSS multipath and outages while resisting wind-induced drift. Barometric altitude aids stability at 50m AGL despite moving obstacles. This maintains survey accuracy and energy efficiency under environmental stress. 2025-11-01T18:04:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Bridge_Inspection_in_Rural_Clear_Weather_2112c711ca3f_mcq.json,uavbench-mcq-v1,Swarm_Bridge_Inspection_in_Rural_Clear_Weather,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,Which path lets UAV-2 reach WP4 by 280s while avoiding the drifting sphere and keeping 8m separation at 110m AGL?,"Swarm drone inspection mission in rural airspace with clear weather and light winds from the south. Four UAVs operate as a coordinated swarm, each equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The flight area is bounded by a geofenced polygon with a static no-fly zone over a 20-meter-radius cylinder near the center. A moving no-fly zone drifts slowly through the airspace, requiring dynamic avoidance. Mission involves inspecting a corridor of waypoints beneath a 120-meter AGL ceiling, maintaining at least 10 meters AGL. Swarm must avoid a drifting spherical obstacle and maintain 8-meter inter-UAV separation. External traffic includes a UAV crossing the zone at 40 meters altitude. Communication experiences brief downlink outages between 120–130 and 400–415 seconds. GNSS signals may suffer multipath near the bridge structure, though no explicit degradation is modeled. Battery endurance is critical, with a 30% reserve required and a 10-minute time budget.","Climb to 115m AGL, direct route via WP3","Descend to 9m AGL, shortcut between NFZ and sphere","Hold at WP2 until sphere passes, then proceed","Fly 110m AGL arc north of sphere, time-sync with swarm","Drop to 50m AGL, bypass sphere west, rejoin at WP4",Accelerate through sphere zone at 120m AGL,"Route south, merge at WP4 ignoring time sync","[""Climb to 115m AGL, direct route via WP3"", ""Descend to 9m AGL, shortcut between NFZ and sphere"", ""Hold at WP2 until sphere passes, then proceed"", ""Fly 110m AGL arc north of sphere, time-sync with swarm"", ""Drop to 50m AGL, bypass sphere west, rejoin at WP4"", ""Accelerate through sphere zone at 120m AGL"", ""Route south, merge at WP4 ignoring time sync""]","Option D maintains 110m AGL, respects the 120m ceiling and 10m AGL floor, and uses a safe lateral arc to avoid the drifting sphere. The northward deviation preserves 8m inter-UAV separation and swarm coordination with synchronized timing. Other options violate altitude, proximity, or delay arrival past 280s." 2025-11-01T18:04:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Coordination_in_Industrial_Plant_under_Fog_c32c6ce7f11f_mcq.json,uavbench-mcq-v1,Swarm_Coordination_in_Industrial_Plant_under_Fog,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"During icing, one quadrotor experiences 12% reduced lift; wind gusts reach 3.5 m/s. What action best maintains control?","Quadrotor UAVs conduct a coordinated inspection mission within an industrial plant environment. The swarm consists of four drones operating under poor visibility due to fog and potential icing conditions. Wind blows from the west at 6 m/s with gusts up to 3.5 m/s, affecting flight stability. Each UAV is equipped with GNSS, IMU, lidar, and RGB camera for navigation and data collection. The mission requires flying a corridor pattern around structures while avoiding static and moving no-fly zones. A dynamic no-fly zone moves through the airspace, requiring real-time path adjustments. Swarm members must maintain a minimum 5-meter separation while coordinating roles like leader and scout. GNSS multipath effects are likely due to dense infrastructure, challenging positioning accuracy. An icing event occurs mid-mission, reducing aerodynamic efficiency for one minute. Communication dropouts happen briefly at 120 and 480 seconds, risking temporary loss of coordination.",Increase collective pitch to regain lift,Reduce airspeed to minimize drag rise,Descend to lower density altitude,Bank sharply to evade gusts,Cut throttle to prevent motor overload,Hold attitude and increase rotor RPM,Pitch forward to increase angle of attack,"[""Increase collective pitch to regain lift"", ""Reduce airspeed to minimize drag rise"", ""Descend to lower density altitude"", ""Bank sharply to evade gusts"", ""Cut throttle to prevent motor overload"", ""Hold attitude and increase rotor RPM"", ""Pitch forward to increase angle of attack""]",Increasing rotor RPM compensates for reduced blade efficiency by restoring lift without exceeding critical angle of attack. Holding attitude prevents uncommanded maneuvers in gusts. Other options either risk stall or fail to offset aerodynamic degradation. 2025-11-01T18:04:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Coordination_in_Harbor_with_Dust_4feeedad56fc_mcq.json,uavbench-mcq-v1,Swarm_Coordination_in_Harbor_with_Dust,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Which path lets the leader reach waypoint (80,60) by 240s, avoiding NFZ and maintaining 10m separation at 30m altitude?","Swarm UAVs conduct a harbor survey mission under dusty and low-visibility conditions with moderate wind from the south. The operation occurs within a polygonal geofenced area spanning 200m by 150m, with altitude restricted between 10m and 120m AGL. A cylindrical no-fly zone is centered at (100,75) with a 20m radius, extending from 10m to 60m altitude. Four battery-powered quadcopters with RGB cameras and standard navigation sensors operate in coordinated roles: leader, two followers, and a relay. Each UAV must maintain at least 10m separation from others in the swarm and avoid dynamic obstacles, including a drifting sphere. The primary mission is a grid survey at 30m altitude with a 600-second time limit, returning to start after covering four waypoints. A second UAV and periodic communication dropouts between 120–130s and 450–460s add traffic and data link challenges. GNSS signal degradation is expected due to harbor structures causing multipath effects. Collision avoidance is enforced via DAA thresholds of 20m minimum separation and 15s time-to-closest approach. Battery reserves are set to 25%, and safe landing sites are designated at the spawn and far corner in case of emergencies.","Direct diagonal from start, constant 30m altitude","North detour at 120m, then descend to 30m","Fly east to (120,90), then south bypassing NFZ",Descend to 8m altitude to skirt NFZ edge,Hover 30s after 120s dropout then resume course,Cut through NFZ below 60m using 18m right turn,"Curve west around NFZ at 30m, delayed 10s by wind","[""Direct diagonal from start, constant 30m altitude"", ""North detour at 120m, then descend to 30m"", ""Fly east to (120,90), then south bypassing NFZ"", ""Descend to 8m altitude to skirt NFZ edge"", ""Hover 30s after 120s dropout then resume course"", ""Cut through NFZ below 60m using 18m right turn"", ""Curve west around NFZ at 30m, delayed 10s by wind""]","G maintains 30m altitude, avoids NFZ by lateral clearance, and accounts for wind delay while preserving separation. It respects DAA thresholds and GNSS drift with curved trajectory. Other options breach NFZ, violate altitude, waste time, or risk collision." 2025-11-01T18:04:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Coordination_in_Powerline_Corridor_under_Low_Visibility_29ccdbf6cc58_mcq.json,uavbench-mcq-v1,Swarm_Coordination_in_Powerline_Corridor_under_Low_Visibility,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Given 8.5 m/s winds at 240°, icing, and a moving obstacle, which routing maintains 25 m separation and 20–120 m AGL while avoiding NFZs?","This is a UAV swarm inspection mission along a powerline corridor in poor visibility with icing conditions. The operation takes place in a defined airspace with a minimum altitude of 20 meters AGL and a maximum of 120 meters. Winds are moderate at 8.5 m/s from 240°, increasing with altitude and including gusts up to 4 m/s. Four octocopters, each equipped with GNSS, LiDAR, radar, RGB and thermal cameras, operate as a coordinated swarm. The UAVs carry inspection payloads and must navigate through dynamic no-fly zones and a moving obstacle. Notable constraints include GNSS multipath, signal jamming at -85 dBm, electromagnetic interference, and communication dropouts. A drifting thermal updraft near the corridor affects local flight dynamics. The swarm must maintain 25 meters minimum separation while avoiding a static and a moving no-fly cylinder. An icing event occurs mid-mission, reducing performance for one UAV over 60 seconds. Mission success depends on completing the waypoint corridor within time while managing battery, separation, and environmental hazards.",Climb to 130 m AGL to avoid updraft,Descend below 20 m AGL near tower,Shift left 15 m to bypass moving cylinder,Hold heading through jamming zone at -85 dBm,Decelerate 50% within 25 m of swarm,Bank 45° to cut corner near static NFZ,Adjust heading 15° right and reduce speed,"[""Climb to 130 m AGL to avoid updraft"", ""Descend below 20 m AGL near tower"", ""Shift left 15 m to bypass moving cylinder"", ""Hold heading through jamming zone at -85 dBm"", ""Decelerate 50% within 25 m of swarm"", ""Bank 45° to cut corner near static NFZ"", ""Adjust heading 15° right and reduce speed""]","Option G enables proactive lateral avoidance of the moving obstacle while maintaining safe separation and AGL bounds. It compensates for wind drift and sensor latency by reducing speed and adjusting early. Other choices violate altitude limits, NFZs, or swarm separation under dynamic conditions." 2025-11-01T18:04:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Coordination_in_Wind_Farm_under_Cold_Temperature_Extremes_660c9656bd0c_mcq.json,uavbench-mcq-v1,Swarm_Coordination_in_Wind_Farm_under_Cold_Temperature_Extremes,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 110 m AGL, UAV-3 detects icing onset with 14.5 m/s headwinds; 4 minutes remain. What action minimizes risk?","This mission involves a swarm of four convertiplane UAVs conducting an inspection in a wind farm environment. The airspace is constrained between 10 and 120 meters AGL, with a static no-fly zone around a central turbine and a moving no-fly zone drifting slowly through the area. Wind speeds increase with altitude, reaching up to 14.5 m/s from the west, and gusts add turbulence, while thermal updrafts provide localized lift. Icing conditions are present, and a simulated icing event occurs mid-mission, degrading performance. The UAVs operate under GNSS multipath effects, electromagnetic interference, and brief communication outages. Each UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, supporting inspection and swarm coordination roles. The swarm must maintain a minimum 15-meter separation while navigating a predefined corridor pattern within a 10-minute time limit. A runway approach is required for landing, and traffic from another UAV and a moving spherical obstacle increase complexity. Cold temperature extremes and icing risk challenge battery efficiency and aerodynamic performance throughout the mission.",Descend to 20 m AGL to reduce wind exposure,Maintain 110 m AGL and continue inspection,Climb to 130 m AGL for smoother airflow,Proceed directly to runway at current altitude,Increase speed to exit icing zone rapidly,Break formation and land off-runway nearby,Descend to 80 m AGL and divert to approach corridor,"[""Descend to 20 m AGL to reduce wind exposure"", ""Maintain 110 m AGL and continue inspection"", ""Climb to 130 m AGL for smoother airflow"", ""Proceed directly to runway at current altitude"", ""Increase speed to exit icing zone rapidly"", ""Break formation and land off-runway nearby"", ""Descend to 80 m AGL and divert to approach corridor""]","Descending to 80 m AGL stays within the 10–120 m AGL airspace, avoids the worst icing and wind at higher altitudes, and begins early diversion to meet runway approach requirements. It maintains separation from other UAVs and avoids off-runway landing risks while conserving energy. Other options violate altitude limits, increase icing exposure, break landing protocol, or waste time and energy." 2025-11-01T18:04:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Coordination_in_Wind_Farm_under_Strong_Crosswind_d34fb66ba7a0_mcq.json,uavbench-mcq-v1,Swarm_Coordination_in_Wind_Farm_under_Strong_Crosswind,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best balances 8.5 m/s wind stability, 600s endurance, and 25m DAA compliance in a wind farm swarm?","This scenario involves a swarm of three quadrotors conducting an inspection mission within a wind farm. The airspace is structured with fixed and moving no-fly zones, including a dynamic cylinder obstacle drifting northwest. The mission operates under strong crosswinds from 240° at 8.5 m/s with gusts up to 4.2 m/s, challenging stability and energy use. UAVs are battery-powered quadrotors equipped with RGB cameras and standard navigation sensors but lack LiDAR or radar. The swarm must coordinate roles—leader, follower, scout—while maintaining at least 20 meters of separation. Flight is constrained between 10 and 120 meters AGL within a polygonal geofence, avoiding both static and moving obstacles. A secondary UAV enters the airspace on a fixed path, requiring detect-and-avoid compliance with a 25-meter separation threshold. GNSS multipath effects are not modeled, but wind-induced drift may affect positioning accuracy near turbines. The mission must complete within 600 seconds while preserving 30% battery reserve and ensuring no geofence or DAA breaches.",High-thrust motors with reduced battery capacity,Lightweight frame with minimal sensor suite,Redundant IMU and GNSS with adaptive control,Larger propellers for efficient hover in gusts,Centralized planner with high-bandwidth link,High-resolution camera with narrow FOV,Frequent position broadcasting at 10 Hz,"[""High-thrust motors with reduced battery capacity"", ""Lightweight frame with minimal sensor suite"", ""Redundant IMU and GNSS with adaptive control"", ""Larger propellers for efficient hover in gusts"", ""Centralized planner with high-bandwidth link"", ""High-resolution camera with narrow FOV"", ""Frequent position broadcasting at 10 Hz""]",Redundant IMU and GNSS improve positioning accuracy under wind drift and GNSS multipath near turbines. Adaptive control enables stable swarm formation in 8.5 m/s crosswinds with gusts. This option ensures reliable role coordination and DAA compliance without sacrificing endurance or safety margins. 2025-11-01T18:04:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Delivery_on_Ship_Deck_in_Microburst_Risk_ad6d33ac7592_mcq.json,uavbench-mcq-v1,Swarm_Delivery_on_Ship_Deck_in_Microburst_Risk,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"With 3 drones, 2-meter separation, and a drifting obstacle, what action prioritizes safety within 8s time-to-contact and 5m detect-and-avoid threshold?","This scenario involves a swarm drone delivery mission on a ship deck in an indoor warehouse environment. The airspace is confined with a polygonal geofence and a central cylindrical no-fly zone. Winds are from the west at 8 m/s with gusts up to 4 m/s, and there is a risk of microbursts affecting stability. Three small quadcopter drones form a swarm, each carrying a 0.5 kg payload with RGB camera and LiDAR sensors. The mission requires navigating a corridor pattern within a 10-minute time limit while maintaining minimum 2-meter inter-drone separation. GNSS signals may suffer multipath due to the indoor setting, requiring sensor fusion with IMU and barometer. A moving spherical obstacle drifts downward along the flight path, adding dynamic collision risk. Drones must avoid both static and moving obstacles while adhering to detect-and-avoid thresholds of 5 meters and 8 seconds time-to-contact. The primary landing site is at the far end of the deck, with an emergency site available near the spawn point.",Continue corridor pattern ignoring minor drift,Abort mission immediately for all drones,Divert one drone to scout obstacle details,Land all drones at emergency site preemptively,Increase speed to finish before microburst,Split swarm to bypass obstacle laterally,Maintain course using LiDAR for clearance,"[""Continue corridor pattern ignoring minor drift"", ""Abort mission immediately for all drones"", ""Divert one drone to scout obstacle details"", ""Land all drones at emergency site preemptively"", ""Increase speed to finish before microburst"", ""Split swarm to bypass obstacle laterally"", ""Maintain course using LiDAR for clearance""]","Landing at the emergency site ensures compliance with 5m/8s detect-and-avoid thresholds amid uncertain microburst effects. It prioritizes safety over mission completion, preventing potential collisions in confined airspace. Continuing risks human safety and violates operational risk tolerance under dynamic obstacles." 2025-11-01T18:04:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Corridor_Follow_in_Icing_Urban_Environment_d92d561fc716_mcq.json,uavbench-mcq-v1,Swarm_Corridor_Follow_in_Icing_Urban_Environment,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 520s, UAV-3 reports critical icing fault, 15% battery, and 8m from moving obstacle. Continue mission or abort?","This is a swarm UAV mission conducting an urban corridor survey in dense city terrain. The operation takes place in a confined airspace corridor between 10 and 60 meters AGL, bounded by static and moving no-fly zones. Weather includes strong winds up to 11 m/s with gusts, poor visibility, and in-flight icing conditions that temporarily degrade performance. The swarm consists of five multirotor drones equipped with GNSS, IMU, lidar, and RGB cameras, flying in coordinated roles including leader, followers, relay, and scout. Each UAV has a 450 Wh battery and carries a 0.3 kg payload, with energy consumption affected by drag and maneuvering. Key constraints include GNSS signal degradation from multipath and jamming, electromagnetic interference, and brief communication dropouts. The flight path weaves through a narrow polygonal corridor with dynamic obstacles, including a drifting no-fly zone and a moving spherical obstacle. Strict separation of at least 3 meters between UAVs and 10 meters from traffic is enforced, with collision avoidance monitored via time-to-collision thresholds. An icing fault event occurs mid-mission, reducing efficiency for one minute. The mission must be completed within 600 seconds, ending at a designated landing site, while avoiding geofence breaches, altitude violations, and maintaining sufficient battery reserves.",Proceed to survey endpoint; mission priority overrides minor risks.,Abort immediately; preserve UAV despite incomplete data.,Descend to 8m AGL to避obstacle; improve GNSS signal temporarily.,Transfer UAV-3’s role to relay drone; maintain swarm functionality.,Eject payload to reduce weight and extend battery margin.,Climb to 65m AGL for clearer comms; rejoin after weather pass.,Hover in place until icing clears; wait up to 90 seconds.,"[""Proceed to survey endpoint; mission priority overrides minor risks."", ""Abort immediately; preserve UAV despite incomplete data."", ""Descend to 8m AGL to避obstacle; improve GNSS signal temporarily."", ""Transfer UAV-3’s role to relay drone; maintain swarm functionality."", ""Eject payload to reduce weight and extend battery margin."", ""Climb to 65m AGL for clearer comms; rejoin after weather pass."", ""Hover in place until icing clears; wait up to 90 seconds.""]","Aborting prioritizes safety and lawful operation by preventing potential loss of control in icing and low battery. Continuing risks geofence breach, collision, or uncontrolled descent near urban terrain. Mission objectives must yield to human safety and regulatory compliance under adverse conditions." 2025-11-01T18:04:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Suburban_Facade_Inspection_with_Convertiplane_in_Hot_Weather_b4163de27d01_mcq.json,uavbench-mcq-v1,Suburban_Facade_Inspection_with_Convertiplane_in_Hot_Weather,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 13 m/s wind with wind shear and thermal updrafts, what minimizes power use while maintaining inspection corridor in hot weather?","This mission involves a convertiplane UAV conducting a facade inspection in a suburban airspace. The UAV is equipped with RGB camera and LiDAR payload for visual data collection. It operates under hot weather conditions with strong winds up to 13 m/s at higher altitudes and notable wind shear across layers. A thermal updraft is present near the inspection area, potentially affecting flight stability. The flight is constrained by a static no-fly zone at the center and a moving no-fly zone drifting diagonally. An additional moving spherical obstacle traverses the path, requiring real-time avoidance. GNSS signals suffer from multipath effects and moderate jamming, while electromagnetic interference may impact sensor performance. The UAV must follow a corridor inspection pattern while maintaining separation from traffic and obstacles. Battery endurance is critical due to high power demands in windy conditions and hover transitions. The mission requires a runway for landing and must complete within a 10-minute time limit.",Descend to reduce density altitude and increase propeller efficiency,Increase airspeed to overcome wind shear with higher Reynolds number,Reduce angle of attack to decrease induced drag in strong headwind,Extend hover time in updraft to gain altitude without power,Bank sharply to avoid moving obstacle while maintaining airspeed,Rely on GNSS for position hold to minimize control surface actuation,Transition to fixed-wing mode early to reduce lift-induced power demand,"[""Descend to reduce density altitude and increase propeller efficiency"", ""Increase airspeed to overcome wind shear with higher Reynolds number"", ""Reduce angle of attack to decrease induced drag in strong headwind"", ""Extend hover time in updraft to gain altitude without power"", ""Bank sharply to avoid moving obstacle while maintaining airspeed"", ""Rely on GNSS for position hold to minimize control surface actuation"", ""Transition to fixed-wing mode early to reduce lift-induced power demand""]","Transitioning early to fixed-wing mode reduces induced drag and power demand by generating lift aerodynamically. In hot, low-density air, rotor efficiency drops, making wing-borne flight more efficient. This sustains endurance against 13 m/s winds and thermal disturbances while preserving battery." 2025-11-01T18:04:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Drone_Indoor_Runway_Touch-and-Go_in_Snowfall_9f41bfd79532_mcq.json,uavbench-mcq-v1,Swarm_Drone_Indoor_Runway_Touch-and-Go_in_Snowfall,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"With 5 drones in a 40m runway, 3m separation, and 15m ceiling, which coordination ensures collision avoidance and energy efficiency under 600s?","This mission involves a swarm of five indoor drones performing a touch-and-go pattern along a 40-meter runway inside a warehouse. The airspace is confined to a rectangular volume with a ceiling at 15 meters and a floor at 0.5 meters, bounded by a polygonal geofence. A cylindrical no-fly zone with a 3-meter radius is located at the center of the space, requiring careful navigation. The environment features poor visibility due to indoor snowfall, with wind blowing at 3 m/s from the west and occasional gusts. GNSS is unavailable, so drones rely on IMU, barometer, lidar, magnetometer, and camera RGB for localization and obstacle avoidance. Each drone is equipped with a 0.2 kg payload and operates on battery power with a 220 Wh capacity and 30% reserve. The swarm includes specialized roles: leader, two followers, a scout, and a relay, maintaining at least 3 meters of separation between units. A moving spherical obstacle drifts through the area at a slow velocity, adding dynamic collision risk. The mission must be completed within 600 seconds while avoiding collisions, respecting separation thresholds, and managing energy in a GPS-denied, low-visibility indoor setting.",Leader ascends to 14m; others follow at 2s intervals,"All drones fly at 8m altitude, 4m apart, same speed","Scout moves ahead by 10m, relaying lidar data continuously",Relay drone hovers at 7m to maintain comms link,Followers match leader’s path exactly with 1s delay,Drones reduce speed by 50% near cylindrical no-fly zone,Swarm splits into pairs to cover runway faster,"[""Leader ascends to 14m; others follow at 2s intervals"", ""All drones fly at 8m altitude, 4m apart, same speed"", ""Scout moves ahead by 10m, relaying lidar data continuously"", ""Relay drone hovers at 7m to maintain comms link"", ""Followers match leader’s path exactly with 1s delay"", ""Drones reduce speed by 50% near cylindrical no-fly zone"", ""Swarm splits into pairs to cover runway faster""]","The scout probing ahead enables early detection of the moving obstacle and feeds critical data to the swarm, preserving situational awareness in low visibility. This maintains inter-agent safety and optimizes path adjustments without increasing collision risk. Other options either reduce separation, waste energy, or disrupt communication and timing." 2025-11-01T18:04:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Drone_Lost_Link_RTL_Offshore_218317d353db_mcq.json,uavbench-mcq-v1,Swarm_Drone_Lost_Link_RTL_Offshore,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"At 250s, comms fail; wind gusts hit 12 m/s. Drones must avoid traffic at 70m and a drifting obstacle moving east at 2 m/s.","This is a swarm drone inspection mission near an offshore platform. The airspace is restricted to altitudes between 10 and 120 meters AGL with a polygon geofence and a central cylindrical no-fly zone. Winds are 8 m/s from the west with gusts up to 4 m/s and a risk of lightning present. The UAVs are battery-powered hexacopters equipped with RGB cameras and standard navigation sensors. The swarm consists of four drones with role differentiation and requires a minimum 15-meter inter-drone separation. A traffic UAV crosses the area at 70 meters altitude, and a moving spherical obstacle drifts eastward at 2 m/s. Communication is lost between 200 and 320 seconds, triggering a lost-link event where uplink and downlink fail. During this period, the drones must operate without ground control and cannot return-to-launch. The mission must be completed within 600 seconds while avoiding collisions and maintaining separation. GNSS multipath effects are not modeled, but the offshore environment may challenge signal reliability.",Continue inspection below 70m to avoid traffic,Ascend above 120m to escape gusts quickly,Descend to 5m AGL to minimize wind impact,Fly east into the no-fly cylinder to evade obstacle,Match obstacle speed and trail behind it safely,Return to launch despite lost-link restriction,Halt propulsion and free-fall to conserve battery,"[""Continue inspection below 70m to avoid traffic"", ""Ascend above 120m to escape gusts quickly"", ""Descend to 5m AGL to minimize wind impact"", ""Fly east into the no-fly cylinder to evade obstacle"", ""Match obstacle speed and trail behind it safely"", ""Return to launch despite lost-link restriction"", ""Halt propulsion and free-fall to conserve battery""]","Continuing below 70m respects the altitude limit and avoids mid-air collision with the traffic UAV. It maintains separation from the drifting obstacle through lateral maneuvering within safe bounds. Other options violate geofencing, altitude rules, or risk uncontrolled descent near infrastructure." 2025-11-01T18:04:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Coordination_in_Mountainous_Snowfall_0f6a21d5ad4a_mcq.json,uavbench-mcq-v1,Swarm_Coordination_in_Mountainous_Snowfall,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 350m AGL, 16 m/s northwest wind, and 1.5 kg payload, how should the leader UAV adjust pitch and airspeed to maintain lift in icing conditions?","This is a swarm UAV survey mission in mountainous terrain with active snowfall and icing conditions. The airspace spans 2km by 1.5km with a minimum altitude of 50m AGL and a maximum of 400m AGL. Winds increase with altitude, reaching 16 m/s from the northwest, and gusts add turbulence. Four convertiplane UAVs operate as a coordinated swarm, with roles including leader, follower, scout, and relay. Each UAV is equipped with GNSS, IMU, camera, LiDAR, and other standard sensors but faces GNSS multipath, jamming at -75 dBm, and electromagnetic interference. The payload includes imaging and sensing equipment totaling 1.5 kg. A static no-fly zone protects a central area, while a dynamic no-fly zone moves through the region, requiring real-time avoidance. A moving spherical obstacle and another UAV add complexity to collision avoidance, with a minimum separation of 30m between swarm members. The mission must be completed within 600 seconds, following a corridor pattern across four waypoints, and requires a runway for landing. Icing conditions occur during flight, reducing performance, and communication dropouts happen twice, testing autonomy and resilience.",Increase pitch by 3° and airspeed to 22 m/s,Decrease pitch by 2° and reduce airspeed to 14 m/s,Maintain current pitch and airspeed at 18 m/s,Increase pitch to 12° while holding 16 m/s,Reduce airspeed to 10 m/s and decrease pitch,Increase thrust without changing pitch or airspeed,Bank 15° left and increase airspeed to 20 m/s,"[""Increase pitch by 3° and airspeed to 22 m/s"", ""Decrease pitch by 2° and reduce airspeed to 14 m/s"", ""Maintain current pitch and airspeed at 18 m/s"", ""Increase pitch to 12° while holding 16 m/s"", ""Reduce airspeed to 10 m/s and decrease pitch"", ""Increase thrust without changing pitch or airspeed"", ""Bank 15° left and increase airspeed to 20 m/s""]","Icing increases wing roughness, reducing lift coefficient and raising stall risk. Increasing pitch marginally and airspeed boosts dynamic pressure and lift generation without exceeding critical angle of attack. Higher thrust compensates for increased induced and parasitic drag, maintaining energy in turbulent, low-density air." 2025-11-01T18:04:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Coordination_in_Volcanic_Zone_with_Gusts_d6f604184e53_mcq.json,uavbench-mcq-v1,Swarm_Coordination_in_Volcanic_Zone_with_Gusts,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"With GNSS outages and 13.5 m/s winds, how should UAVs maintain position integrity during volcanic survey?","Fixed-wing UAV swarm conducts volcanic zone survey with thermal and RGB imaging. Operations occur in restricted airspace with a central no-fly cylinder and dynamic moving hazards. Strong winds up to 13.5 m/s increase with altitude and shift direction, creating gust challenges. Volcanic ash, lightning risk, and poor visibility degrade flight and sensor performance. GNSS suffers from multipath, jamming, and intermittent outages affecting navigation. Four UAVs coordinate in leader-follower-scout-relay roles with 30-meter minimum separation. Thermal updrafts near plumes offer potential lift but increase turbulence exposure. Mission requires runway-aligned takeoff and landing with tight 10-minute time budget. External traffic and a drifting spherical obstacle demand constant collision avoidance. Icing events and communication dropouts introduce additional system-level risks.",Rely on encrypted GNSS with inertial fallback on spoofing detection,Use unencrypted terrain mapping for position updates,Increase reliance on leader's GNSS data via broadcast sync,Disable authentication to reduce latency in control signals,Fly preloaded path without real-time sensor fusion,Trust all relayed position data to maintain swarm cohesion,Switch to visual-only navigation when GNSS drops,"[""Rely on encrypted GNSS with inertial fallback on spoofing detection"", ""Use unencrypted terrain mapping for position updates"", ""Increase reliance on leader's GNSS data via broadcast sync"", ""Disable authentication to reduce latency in control signals"", ""Fly preloaded path without real-time sensor fusion"", ""Trust all relayed position data to maintain swarm cohesion"", ""Switch to visual-only navigation when GNSS drops""]","Encrypted GNSS resists spoofing and jamming, while inertial fallback ensures continuity during outages. This preserves position integrity despite environmental and cyber threats. A- maintains control stability and security without single-point failures." 2025-11-01T18:04:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Drone_Lost_Link_RTL_in_Dense_Urban_fa94da18e472_mcq.json,uavbench-mcq-v1,Swarm_Drone_Lost_Link_RTL_in_Dense_Urban,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,"Which drone configuration best handles 6 m/s winds, GNSS multipath, and 1-minute comms loss while maintaining 10m swarm separation?","This scenario involves a swarm drone mission in a dense urban environment, primarily focused on aerial surveying using a grid pattern. The airspace is constrained by static and dynamic no-fly zones, including a central cylindrical exclusion zone and a moving no-fly cylinder. Weather conditions include moderate 6 m/s winds from the south with 3 m/s gusts, though visibility remains good. The UAV is a six-rotor swarm-capable drone with RGB camera and LiDAR payload for data collection. Each drone in the four-UAV swarm carries sensors including GNSS, IMU, barometer, and magnetometer, supporting navigation and coordination. A key fault event triggers loss of communication at 200 seconds, disabling uplink and downlink for one minute, forcing return-to-launch (RTL) behavior. The swarm must maintain a minimum 10-meter inter-drone separation while avoiding a moving spherical obstacle and an intruder UAV traveling westward. GNSS multipath effects are likely due to surrounding buildings, and the mission must comply with geofence boundaries and altitude limits between 5 and 120 meters AGL. Mission success depends on completing waypoints, avoiding collisions, and landing safely with sufficient battery reserve after the communication failure.",Hexacopter with dual GNSS and LiDAR-based obstacle avoidance,Quadcopter with single GNSS and vision-only navigation,Hexacopter with LiDAR but no redundant sensors,"Octocopter with dual GNSS, high power reserve, no LiDAR",Quadcopter with dual GNSS and barometric hold,Hexacopter using only IMU and magnetometer for navigation,"Octocopter with thermal camera, no swarm coordination","[""Hexacopter with dual GNSS and LiDAR-based obstacle avoidance"", ""Quadcopter with single GNSS and vision-only navigation"", ""Hexacopter with LiDAR but no redundant sensors"", ""Octocopter with dual GNSS, high power reserve, no LiDAR"", ""Quadcopter with dual GNSS and barometric hold"", ""Hexacopter using only IMU and magnetometer for navigation"", ""Octocopter with thermal camera, no swarm coordination""]","The hexacopter offers redundant propulsion and dual GNSS to counter multipath and wind disturbances. LiDAR enables precise obstacle and intruder avoidance critical in urban terrain. This configuration balances fault tolerance, navigation accuracy, and swarm safety during comms loss." 2025-11-01T18:04:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Drone_Runway_Incursion_with_DAA_in_Underground_Mine_2c6cb821a83a_mcq.json,uavbench-mcq-v1,Swarm_Drone_Runway_Incursion_with_DAA_in_Underground_Mine,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"During GNSS jamming at 200 seconds, with 3 m/s wind from 120°, how should the leader drone adjust airspeed and pitch to maintain corridor alignment and lift stability?","This is a swarm drone inspection mission in an underground mine environment. The airspace is confined with a maximum altitude of 50 meters AGL and includes a cylindrical no-fly zone centered at (50, 40). Weather conditions include poor visibility, a 3 m/s wind from 120 degrees, gusts up to 2 m/s, and a risk of lightning. The UAVs are battery-powered octocopters, each equipped with GNSS, IMU, magnetometer, barometer, LiDAR, and RGB camera sensors. The payload adds 0.3 kg with moderate drag. The swarm consists of four drones operating with a minimum separation of 5 meters, fulfilling leader, follower, and scout roles. The mission follows a corridor pattern through designated waypoints with a 600-second time limit and no runway requirement. A second UAV and a moving spherical obstacle introduce dynamic traffic challenges. The DAA system enforces a 10-meter separation threshold and 5-second time-to-closest-approach buffer. The scenario includes GNSS jamming from 200 to 230 seconds, a partial motor failure at 400 seconds, and two communication loss windows.",Increase airspeed by 2 m/s and pitch up 3°,Decrease airspeed by 1 m/s and hold level pitch,Maintain current airspeed and reduce pitch by 2°,Double throttle and pitch up 5° abruptly,Reduce airspeed 3 m/s and increase bank angle 10°,Hold attitude but cut thrust 15%,Decrease pitch 4° and increase yaw rate,"[""Increase airspeed by 2 m/s and pitch up 3°"", ""Decrease airspeed by 1 m/s and hold level pitch"", ""Maintain current airspeed and reduce pitch by 2°"", ""Double throttle and pitch up 5° abruptly"", ""Reduce airspeed 3 m/s and increase bank angle 10°"", ""Hold attitude but cut thrust 15%"", ""Decrease pitch 4° and increase yaw rate""]","Increasing airspeed compensates for reduced sensor accuracy and wind-induced lift disturbances, while a 3° pitch-up maintains angle of attack for sufficient lift. This balances thrust, drag, and lift under reduced GNSS guidance and crosswind effects. Other choices either reduce lift below weight or induce flow separation." 2025-11-01T18:04:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Drone_Runway_Touch-and-Go_in_Underground_Mine_with_Gusts_3eeb5180cd45_mcq.json,uavbench-mcq-v1,Swarm_Drone_Runway_Touch-and-Go_in_Underground_Mine_with_Gusts,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During intermittent GNSS loss at 110s, with 5 m/s gusting winds and lidar range reduced to 15m, how should the swarm maintain navigation integrity?","This is a swarm drone mission conducting a runway touch-and-go in an underground mine. The airspace is confined within a 100m x 80m polygon with a maximum altitude of 25m AGL. Winds are from the west at 5 m/s with strong gusts up to 4.5 m/s, reducing visibility and increasing flight instability. The UAVs are quadcopter swarm drones, each equipped with GNSS, IMU, lidar, camera, and a 0.2kg payload. A cylindrical no-fly zone is centered at (50, 40) with a 10m radius and 20m ceiling. The swarm consists of four drones maintaining a minimum separation of 3.0m, with roles including leader, scout, and followers. A moving spherical obstacle travels east at 2 m/s along the flight path. Communication experiences intermittent uplink loss between 100–120s and 300–310s. The mission follows a corridor pattern with a designated runway but does not require landing. GNSS signals may suffer multipath due to the enclosed mine environment, challenging navigation accuracy.",Rely solely on GNSS and IMU dead reckoning,Switch to lidar-only mapping with fixed altitude,"Fuse IMU, camera, and lidar with motion models",Halt all movement until GNSS reacquires,Follow leader using GNSS-derived positions,Use camera-only optical flow for drift correction,Descend to 10m AGL to reduce wind effects,"[""Rely solely on GNSS and IMU dead reckoning"", ""Switch to lidar-only mapping with fixed altitude"", ""Fuse IMU, camera, and lidar with motion models"", ""Halt all movement until GNSS reacquires"", ""Follow leader using GNSS-derived positions"", ""Use camera-only optical flow for drift correction"", ""Descend to 10m AGL to reduce wind effects""]","IMU-camera-lidar fusion compensates for GNSS multipath and intermittent loss, while motion models predict swarm dynamics under gusts. Camera and lidar jointly mitigate reduced visibility and short range. This maintains swarm cohesion and obstacle avoidance without relying on degraded GNSS." 2025-11-01T18:04:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Escort_in_Forest_Icing_Conditions_484d38234bfe_mcq.json,uavbench-mcq-v1,Swarm_Escort_in_Forest_Icing_Conditions,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 110m AGL, winds 9 m/s with icing, swarm faces conflicting UAV at 20m distance and 12s time-to-closest-approach. Prioritize:","Swarm escort mission in a forested area using four small multirotor drones equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The drones operate within a defined corridor between 10 and 120 meters AGL, avoiding static and moving no-fly zones. Strong winds up to 9 m/s increase with altitude and shift direction, compounded by gusts and poor visibility due to icing conditions. Icing events occur mid-mission, affecting aerodynamics and requiring robust fault tolerance. GNSS signals suffer from multipath and interference, with brief communication dropouts during critical phases. The swarm must maintain minimum 8-meter inter-drone separation while navigating around a moving spherical obstacle and an active dynamic no-fly zone. A conflicting UAV traffic enters the airspace, requiring detect-and-avoid compliance with 25-meter separation and 15-second time-to-closest-approach thresholds. Battery endurance is limited, with a 30% reserve required and energy consumption impacted by wind and drag. The mission emphasizes resilient navigation under electromagnetic interference and degraded GNSS, with success contingent on avoiding collisions, NFZ breaches, and battery exhaustion. Landing sites are predefined, with one preferred and one emergency option available at mission end.",Descend as a group to 15m AGL to evade wind and obstacle,Split swarm to surround threat for identification,Maintain course; rely on thermal to track the intruder,Ascend to 120m AGL for clearer GNSS and line-of-sight,Execute immediate lateral evasion maintaining 8m separation,Force landing at nearest site despite incomplete mission,Broadcast alert and reposition to yield right-of-way,"[""Descend as a group to 15m AGL to evade wind and obstacle"", ""Split swarm to surround threat for identification"", ""Maintain course; rely on thermal to track the intruder"", ""Ascend to 120m AGL for clearer GNSS and line-of-sight"", ""Execute immediate lateral evasion maintaining 8m separation"", ""Force landing at nearest site despite incomplete mission"", ""Broadcast alert and reposition to yield right-of-way""]","The intruding UAV requires detect-and-avoid compliance at 25m and 15s thresholds; at 20m and 12s, immediate yielding is critical. G ensures deconfliction without aggressive or destabilizing maneuvers, preserving swarm integrity and airspace law. Other options risk collision, NFZ breaches, or violate right-of-way under uncertain GNSS and icing conditions." 2025-11-01T18:04:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Drone_GPS_Spoofing_in_Wind_Farm_under_Hot_Conditions_63b2657805ff_mcq.json,uavbench-mcq-v1,Swarm_Drone_GPS_Spoofing_in_Wind_Farm_under_Hot_Conditions,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 200s, GNSS spoofing and comms loss occur; wind gusts reach 4.0 m/s near turbine no-fly zone. What immediate action should the swarm prioritize?","This mission involves a swarm of five battery-powered drones conducting an inspection in a wind farm environment. The airspace is constrained between 10 and 120 meters AGL, with a static no-fly zone around a turbine and a moving no-fly zone due to dynamic obstacles. Weather conditions include strong winds at 8.5 m/s from 240 degrees with gusts up to 4.0 m/s, under good visibility and high ambient temperatures. Each UAV is equipped with GNSS, IMU, magnetometer, barometer, and RGB camera, but lacks LiDAR and thermal sensors. The swarm operates under a coordinated formation with minimum 10-meter inter-drone separation and includes specialized roles like leader, scout, and relay. A significant GNSS spoofing fault is introduced at 200 seconds lasting one minute, coinciding with a 60-second communication downlink loss. The mission faces GNSS interference at -75 dBm, increasing risk of navigation errors and multipath effects near turbines. The route follows a corridor pattern through waypoints while avoiding both static and moving obstacles, including another UAV on a crossing path. Key constraints include strict geofencing, separation assurance thresholds, limited battery endurance, and time-critical fault recovery.",Maintain formation and continue to next waypoint,Ascend to 120m AGL to improve GNSS signal,Execute emergency descent and land immediately,Disband formation and retreat 50m from no-fly zone,Rely on IMU and barometer to hold position,Transfer leadership to relay drone and proceed,Switch to dead reckoning toward nearest safe zone,"[""Maintain formation and continue to next waypoint"", ""Ascend to 120m AGL to improve GNSS signal"", ""Execute emergency descent and land immediately"", ""Disband formation and retreat 50m from no-fly zone"", ""Rely on IMU and barometer to hold position"", ""Transfer leadership to relay drone and proceed"", ""Switch to dead reckoning toward nearest safe zone""]","With GNSS spoofing and comms loss, navigation integrity is compromised, increasing collision risk near turbines. Continuing or relying on faulty systems violates safety and separation protocols. Disbanding and retreating ensures obstacle avoidance, maintains drone safety, and respects geofencing while minimizing risk to assets and personnel." 2025-11-01T18:04:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Heavy_Load_Delivery_in_Jungle_with_Lightning_Risk_65b1434ef3b2_mcq.json,uavbench-mcq-v1,Swarm_Heavy_Load_Delivery_in_Jungle_with_Lightning_Risk,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 320s, GNSS fails amid 8m/s winds and a drifting 10m no-fly cylinder—what immediate action balances safety, energy, and formation?","Swarm drone mission for heavy load delivery in dense jungle terrain. Operates within a 400x300m polygon airspace with a minimum altitude of 10m and maximum of 120m AGL. Weather includes strong 8 m/s winds from 210°, gusts up to 4.5 m/s, poor visibility, and lightning risk. Four UAVs in formation, each with 15.5kg mass and 5kg payload, powered by 1200Wh batteries. Equipped with GNSS, IMU, lidar, RGB camera, and eight-rotor configuration for heavy lift capability. Static no-fly zone near center and a moving no-fly cylinder drifting southwest at 2.5 m/s. Dynamic obstacle: a 10m-radius sphere moving diagonally through the flight corridor. Additional traffic: one intruder UAV flying westbound at 12 m/s below the main route. GNSS jamming fault occurs at 320 seconds, lasting 45 seconds, with comms loss during the same window. Lightning risk event at 480 seconds with full severity, requiring immediate risk mitigation.",Descend to 15m to reduce wind drift and conserve battery,Disband formation and ascend to 110m for clearer lidar return,Maintain course at 60m using IMU-lidar dead reckoning and reduced speed,Halt all rotors for 10s to recalibrate IMU amid comms loss,Accelerate to 14m/s to exit jamming zone before 365s,Circle clockwise at 25m altitude to avoid dynamic obstacle locally,Pitch forward aggressively to reach destination before lightning at 480s,"[""Descend to 15m to reduce wind drift and conserve battery"", ""Disband formation and ascend to 110m for clearer lidar return"", ""Maintain course at 60m using IMU-lidar dead reckoning and reduced speed"", ""Halt all rotors for 10s to recalibrate IMU amid comms loss"", ""Accelerate to 14m/s to exit jamming zone before 365s"", ""Circle clockwise at 25m altitude to avoid dynamic obstacle locally"", ""Pitch forward aggressively to reach destination before lightning at 480s""]","C maintains safe altitude above minimums, uses sensor redundancy (IMU-lidar) during GNSS outage, and reduces speed to manage wind disturbances and energy use. It preserves formation integrity and avoids dynamic obstacles without violating airspace or power constraints, balancing aerodynamic stability, navigation accuracy, and mission continuity." 2025-11-01T18:04:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Escort_in_Underground_Mine_During_Sandstorm_14361d695b65_mcq.json,uavbench-mcq-v1,Swarm_Escort_in_Underground_Mine_During_Sandstorm,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,A UAV must avoid a moving NFZ while maintaining 3m separation in 8 m/s winds within a 15m AGL limit and 600s mission window.,"This is a swarm UAV escort mission in an underground mine during a sandstorm. The airspace is confined with a geofenced polygon area and two no-fly zones, one static and one moving. Weather includes strong winds at 8 m/s and poor visibility due to the sandstorm. The UAVs are lightweight hexacopters equipped with IMU, lidar, RGB and thermal cameras, but lack GNSS and radar. Payload includes sensors for navigation and surveillance with added drag. GNSS is unavailable due to multipath and jamming, requiring reliance on inertial and lidar-based navigation. The swarm consists of five drones with roles including leader, followers, relay, and scout, maintaining minimum 3-meter separation. Communication links are degraded with uplink and downlink failures occurring in specific time windows. The mission must be completed within 600 seconds, navigating through a corridor of waypoints while avoiding obstacles and traffic. Constraints include low-altitude flight between 0.5 and 15 meters, dynamic obstacles, and strict separation monitoring to avoid collisions.",Climb to 15m AGL and hold until NFZ passes,Descend to 0.5m AGL and proceed through static NFZ,Accelerate to bypass NFZ before downlink failure at 240s,"Divert laterally, maintaining 10m from moving NFZ edge",Halt swarm and power down until visibility improves,Ascend to 16m AGL for better lidar coverage,Reduce separation to 1m to tighten formation in wind,"[""Climb to 15m AGL and hold until NFZ passes"", ""Descend to 0.5m AGL and proceed through static NFZ"", ""Accelerate to bypass NFZ before downlink failure at 240s"", ""Divert laterally, maintaining 10m from moving NFZ edge"", ""Halt swarm and power down until visibility improves"", ""Ascend to 16m AGL for better lidar coverage"", ""Reduce separation to 1m to tighten formation in wind""]","Diverting laterally at safe distance avoids the moving no-fly zone without violating altitude or separation minima. It maintains mission timeline and swarm integrity under degraded comms. Other options breach AGL limits, separation, or NFZ rules, increasing collision or failure risk." 2025-11-01T18:04:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Inspection_Under_GPS_Spoofing_in_Cold_Industrial_Plant_13b09596f673_mcq.json,uavbench-mcq-v1,Swarm_Inspection_Under_GPS_Spoofing_in_Cold_Industrial_Plant,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"During GPS spoofing at -85 dBm and 8 m/s gusts, a drone nears the dynamic no-fly cylinder with 12s to impact. What action prioritizes safety?","This is an industrial inspection mission using a 6-drone swarm operating within a confined plant airspace. The drones fly between 5 and 60 meters AGL, navigating a predefined corridor pattern across four waypoints. The environment features strong winds up to 8 m/s with gusts, wind shear, and icing conditions that impact flight performance. Each UAV is a quadrotor equipped with RGB and thermal cameras, relying on battery power with limited reserve capacity. GNSS signals are degraded due to jamming at -85 dBm and electromagnetic interference, with a scheduled GPS spoofing fault lasting 45 seconds. A static no-fly zone blocks the central area, while a moving obstacle and a dynamic no-fly cylinder challenge navigation. The swarm must maintain minimum 8-meter inter-drone separation and avoid a conflicting intruder UAV on a crossing path. Communication experiences brief downlink losses, and the mission must complete within 600 seconds. Icing and GNSS faults test resilience, requiring robust fault handling and sensor fusion. Success depends on maintaining separation, avoiding obstacles and NFZs, and completing the route despite adverse weather and interference.",Continue mission using visual odometry to skirt the cylinder edge,Ascend rapidly to clear the cylinder despite battery constraints,Abort swarm mission and initiate immediate return-to-home for all,Descend to 5m AGL to avoid wind shear and cylinder airspace,"Maintain course using degraded GNSS, minimizing control adjustments","Reroute only affected drone, accepting 8-meter separation breach",Request manual override but delay action until spoofing ends,"[""Continue mission using visual odometry to skirt the cylinder edge"", ""Ascend rapidly to clear the cylinder despite battery constraints"", ""Abort swarm mission and initiate immediate return-to-home for all"", ""Descend to 5m AGL to avoid wind shear and cylinder airspace"", ""Maintain course using degraded GNSS, minimizing control adjustments"", ""Reroute only affected drone, accepting 8-meter separation breach"", ""Request manual override but delay action until spoofing ends""]","Aborting the entire swarm mission ensures all drones avoid collision risks during critical sensor degradation and adverse weather. Continuing under GNSS fault and near dynamic obstacles increases collision likelihood, violating safety-of-life principles. Mission time and data value are secondary to preventing uncontrolled flight in confined, hazardous airspace." 2025-11-01T18:04:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Inspection_of_Wind_Turbine_Blades_under_Foggy_Conditions_5e3f6d4a0bf4_mcq.json,uavbench-mcq-v1,Swarm_Inspection_of_Wind_Turbine_Blades_under_Foggy_Conditions,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"With 20s to closest approach and 25m separation threshold, a non-cooperative UAV enters the swarm's corridor during fog.","A swarm of four inspection drones conducts a wind turbine blade inspection near an airport perimeter under foggy, low-visibility conditions. The mission operates in controlled airspace with strict geofencing and multiple no-fly zones, including a static cylinder and a moving restricted zone. Winds are moderate at 6 m/s from 240°, with gusts up to 3.5 m/s, challenging drone stability. Each drone is equipped with RGB cameras, LiDAR, and full navigation sensors, but GNSS signals are degraded due to multipath and electromagnetic interference. The swarm must maintain a minimum 10-meter inter-drone separation and avoid conflicts with a non-cooperative UAV entering the area. A dynamic moving obstacle simulates maintenance equipment near the turbines. Drones follow a corridor inspection pattern with a 600-second time limit, navigating between defined waypoints while conserving battery with a 30% reserve requirement. Communication experiences brief downlink losses, and RF signal strength must stay above -85 dBm. The operation requires robust DAA performance with a 25-meter separation threshold and 20-second time-to-closest approach.",Continue inspection to meet 600s deadline.,Ascend drones immediately to avoid collision.,Descend rapidly near turbine base for cover.,Abort mission and land at nearest zone.,Split swarm to flank intruder and assess.,Maintain course; rely on DAA autonomy.,Evasive lateral maneuver preserving 10m separation.,"[""Continue inspection to meet 600s deadline."", ""Ascend drones immediately to avoid collision."", ""Descend rapidly near turbine base for cover."", ""Abort mission and land at nearest zone."", ""Split swarm to flank intruder and assess."", ""Maintain course; rely on DAA autonomy."", ""Evasive lateral maneuver preserving 10m separation.""]","Safety requires proactive collision avoidance while maintaining swarm integrity. Landing or ascending could violate airspace or proximity rules. G balances DAA thresholds, separation, and controlled response under degraded GNSS and visibility." 2025-11-01T18:05:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Inspection_under_GPS_Spoofing_in_Industrial_Plant_with_Thermal_Updrafts_db91078069cd_mcq.json,uavbench-mcq-v1,Swarm_Inspection_under_GPS_Spoofing_in_Industrial_Plant_with_Thermal_Updrafts,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"During GNSS spoofing at 200 s, with 6.5 m/s winds from 240° and thermal updrafts, how should a UAV adjust pitch and airspeed to maintain corridor position?","This scenario involves a swarm UAV inspection mission within a confined industrial plant airspace. The UAVs operate at altitudes between 10 and 120 meters AGL, navigating a predefined corridor pattern across the site. Weather includes moderate winds from 240 degrees at 6.5 m/s with gusts up to 3.2 m/s, and thermal updrafts create localized vertical air currents near equipment. The swarm consists of four rotorcraft drones equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, carrying a combined payload of 0.3 kg. These drones face GNSS spoofing lasting 60 seconds starting at 200 seconds into the mission, along with continuous electromagnetic interference and reduced GNSS signal strength at -85 dBm. The environment contains static and moving no-fly zones, including a dynamic cylindrical exclusion zone shifting across the area. A secondary UAV and a moving spherical obstacle introduce air traffic separation challenges, with minimum separation set at 25 meters and time-to-closest-approach monitored. The mission must be completed within 600 seconds, with strict geofencing and inter-swarm separation of at least 10 meters maintained. Battery endurance and communication dropouts during two downlink loss windows further constrain operations.",Increase pitch by 8° and reduce airspeed to 10 m/s,Decrease pitch by 4° and increase airspeed to 18 m/s,Maintain current pitch and increase throttle by 15%,Increase pitch by 3° and maintain airspeed at 14 m/s,Reduce pitch by 6° and descend at 2 m/s vertical speed,Hold pitch steady and reduce airspeed to 9 m/s,Increase pitch by 5° and accelerate to 16 m/s,"[""Increase pitch by 8° and reduce airspeed to 10 m/s"", ""Decrease pitch by 4° and increase airspeed to 18 m/s"", ""Maintain current pitch and increase throttle by 15%"", ""Increase pitch by 3° and maintain airspeed at 14 m/s"", ""Reduce pitch by 6° and descend at 2 m/s vertical speed"", ""Hold pitch steady and reduce airspeed to 9 m/s"", ""Increase pitch by 5° and accelerate to 16 m/s""]","A moderate pitch increase of 3° compensates for vertical air disturbances without exceeding critical angle of attack, while maintaining 14 m/s balances lift generation and induced drag. This sustains energy efficiency and control authority during GNSS loss, preserving formation spacing and obstacle avoidance under wind vector perturbations." 2025-11-01T18:05:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Loiter_at_Bridge_Site_under_Lightning_Risk_cdec684e3b53_mcq.json,uavbench-mcq-v1,Swarm_Loiter_at_Bridge_Site_under_Lightning_Risk,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 300s, GNSS fails and lightning risk rises. Wind is 6.5 m/s, downlink lost for 45s. What action prioritizes safety?","Swarm loiter mission with four UAVs operating near a bridge site under lightning risk. Airspace is constrained by a static no-fly cylinder and a moving obstacle zone. Weather includes moderate wind from 240° at 6.5 m/s with gusts up to 3.2 m/s and good visibility. UAVs are rotorcraft with RGB cameras and LiDAR, powered by batteries with a 220 Wh capacity. The swarm must maintain 5-meter inter-UAV separation while orbiting within a 15-meter radius. A dynamic no-fly zone moves slowly across the area, requiring real-time avoidance. Lightning risk and a GNSS jamming fault at 300 seconds challenge navigation reliability. Communication experiences a 45-second downlink loss window coinciding with the GNSS fault. Minimum safe separation is set at 25 meters with a 15-second time-to-collision threshold. Mission success depends on maintaining airspace rules, avoiding traffic, and completing loiter within battery and environmental limits.",Continue orbit; rely on inertial navigation and inter-UAV radar,Descend immediately to ground level under bridge for cover,Disband swarm and return to home at maximum speed,Climb above 60 meters to escape moving obstacle and jamming,Hover in place using LiDAR until GNSS and downlink restore,Fly toward nearest populated area to seek signal relay from ground,Initiate emergency loiter at reduced radius near static no-fly zone,"[""Continue orbit; rely on inertial navigation and inter-UAV radar"", ""Descend immediately to ground level under bridge for cover"", ""Disband swarm and return to home at maximum speed"", ""Climb above 60 meters to escape moving obstacle and jamming"", ""Hover in place using LiDAR until GNSS and downlink restore"", ""Fly toward nearest populated area to seek signal relay from ground"", ""Initiate emergency loiter at reduced radius near static no-fly zone""]","GNSS failure and lightning pose critical navigation and strike risks. Continuing or hovering endangers UAVs and nearby infrastructure. Returning ensures minimum separation is maintained and avoids populated zones, aligning with safety-of-life and airspace compliance." 2025-11-01T18:05:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Loiter_in_Suburban_Hail_9575a6253897_mcq.json,uavbench-mcq-v1,Swarm_Loiter_in_Suburban_Hail,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 200 seconds, with icing fault onset and 120m to dynamic no-fly zone, what action prioritizes safety during downlink loss?","Swarm UAVs perform a loiter mission in suburban airspace with dynamic and static no-fly zones. The environment features strong winds, gusts, poor visibility, and hazardous hail conditions. Five UAVs operate as a coordinated swarm with defined roles including leader, followers, scout, and relay. Each UAV is equipped with GNSS, IMU, camera, LIDAR, and other sensors, carrying a standard payload. A central cylindrical no-fly zone is static, while another moves dynamically through the area. A single intruder UAV crosses the airspace, requiring separation assurance. A moving spherical obstacle traverses the flight path, adding collision avoidance complexity. Communications experience two brief downlink loss windows during the mission. An icing fault occurs at 200 seconds, degrading performance for one minute. The mission must maintain separation, avoid obstacles and NFZs, and complete within battery and weather constraints.",Continue mission; trust autonomy to avoid obstacles,Ascend 50m to clear hail and maintain loiter,Abort swarm mission and land in nearest open field,Eject payload to reduce weight and improve maneuverability,Override leader and reroute around moving obstacle,Transmit emergency beacon and maintain current course,Enter holding pattern at edge of static no-fly zone,"[""Continue mission; trust autonomy to avoid obstacles"", ""Ascend 50m to clear hail and maintain loiter"", ""Abort swarm mission and land in nearest open field"", ""Eject payload to reduce weight and improve maneuverability"", ""Override leader and reroute around moving obstacle"", ""Transmit emergency beacon and maintain current course"", ""Enter holding pattern at edge of static no-fly zone""]","The icing fault at 200 seconds degrades flight performance, and combined with poor visibility and downlink loss, autonomy cannot be trusted. Continuing risks collision or loss of control near no-fly zones and civilians. Aborting to land prioritizes public safety, complies with emergency hierarchy, and minimizes risk despite mission compromise." 2025-11-01T18:05:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Loiter_in_Rural_Crosswind_04f127027459_mcq.json,uavbench-mcq-v1,Swarm_Loiter_in_Rural_Crosswind,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which UAV configuration best balances 13 m/s crosswind resilience, 20m separation, and thermal updraft use at 120m AGL?","This is a swarm UAV loiter mission in rural airspace with a crosswind. The environment features steady winds increasing with altitude, peaking at 13 m/s from 260 degrees. Five small battery-powered drones with RGB cameras operate as a coordinated swarm, maintaining minimum 20-meter separation. The mission involves orbiting waypoints within a defined polygonal airspace bounded between 10 and 120 meters AGL. A static no-fly zone and a moving no-fly cylinder create dynamic constraints. A thermal updraft is present near one waypoint, potentially affecting flight dynamics. GNSS signals are strong with no multipath or jamming, and comms experience brief intermittent losses. Traffic includes a single non-cooperative UAV flying through the area. The swarm must avoid obstacles, maintain formation, and complete the loiter within battery and airspace limits.","Fixed-wing, high wing loading, no flaps","Quadcopter, aggressive control gains, minimal battery","Hexacopter, moderate wing loading, GPS-only nav","Quadcopter, adaptive PID, GNSS/IMU fusion","Fixed-wing, low wing loading, thermal detection","Octocopter, high redundancy, short endurance","VTOL, long range, no wind compensation","[""Fixed-wing, high wing loading, no flaps"", ""Quadcopter, aggressive control gains, minimal battery"", ""Hexacopter, moderate wing loading, GPS-only nav"", ""Quadcopter, adaptive PID, GNSS/IMU fusion"", ""Fixed-wing, low wing loading, thermal detection"", ""Octocopter, high redundancy, short endurance"", ""VTOL, long range, no wind compensation""]","Quadcopter with adaptive PID and GNSS/IMU fusion handles crosswinds and intermittent comms via robust state estimation. It enables precise loitering and separation control in thermals and wind gradients. Other options sacrifice endurance, control, or reliability under dynamic constraints." 2025-11-01T18:05:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Mapping_in_Industrial_Plant_with_Hail_1da1fff6ce38_mcq.json,uavbench-mcq-v1,Swarm_Mapping_in_Industrial_Plant_with_Hail,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"At 180s, icing reduces performance. Winds are 8.5 m/s, gusts 4.2 m/s. Max altitude is 120m AGL. What action minimizes risk while maintaining mission?","This is a swarm UAV mapping mission inside an industrial plant. The airspace is confined within a 200m x 150m polygon with a minimum altitude of 10m AGL and a maximum of 120m AGL. Weather conditions include strong 8.5 m/s winds from 240 degrees, gusts up to 4.2 m/s, poor visibility, and ongoing hail. The UAVs are octocopter swarms equipped with RGB cameras, LiDAR, GNSS, IMU, and other standard sensors, carrying a 0.4kg payload. A static no-fly zone is present as a cylinder near the center, and a dynamic no-fly zone moves through the area, requiring real-time avoidance. The swarm consists of five drones with role differentiation, maintaining a minimum separation of 8 meters between units. A single non-cooperative UAV and a moving spherical obstacle operate within the airspace, requiring detect-and-avoid compliance with a 10m separation threshold and 5s time-to-closest-approach threshold. The mission is constrained by a 600-second time budget and must avoid GNSS multipath effects common in industrial structures. An icing event occurs at 180 seconds, reducing performance for one minute, and a 10-second comms downlink loss happens later. The UAVs must complete a grid mapping pattern while adhering to energy limits, with 30% battery reserved for safe return to designated landing zones.",Climb to 110m AGL to avoid turbulence near structures,Descend to 20m AGL to reduce wind exposure and energy use,Hold position at 60m AGL until icing event ends at 240s,Increase speed to complete grid faster before comms loss,Divert one UAV to land immediately due to payload risk,Spread swarm to 15m separation to ease collision avoidance,Rotate mapping pattern to align with wind direction 240°,"[""Climb to 110m AGL to avoid turbulence near structures"", ""Descend to 20m AGL to reduce wind exposure and energy use"", ""Hold position at 60m AGL until icing event ends at 240s"", ""Increase speed to complete grid faster before comms loss"", ""Divert one UAV to land immediately due to payload risk"", ""Spread swarm to 15m separation to ease collision avoidance"", ""Rotate mapping pattern to align with wind direction 240°""]","Descending to 20m AGL reduces wind loading and energy consumption during icing, which is critical as battery margin is tight and performance is degraded. It remains above the 10m minimum, avoids higher-turbulence altitudes, and maintains mapping progress without violating separation or NFZ constraints. Other options increase risk through higher energy use, unnecessary exposure, or premature aborts." 2025-11-01T18:05:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Package_Delivery_in_Icing_Urban_Conditions_c90ab1ebdcf4_mcq.json,uavbench-mcq-v1,Swarm_Package_Delivery_in_Icing_Urban_Conditions,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Which route optimizes swarm delivery through 4 waypoints in 600s, avoiding a 20m-radius static NFZ and dynamic obstacles at 240° wind?","This is a swarm package delivery mission in a dense urban environment. The operation takes place within a 200m x 200m airspace block, with altitude restricted between 10m and 120m AGL. Weather includes steady winds of 6 m/s from 240°, gusts up to 3.5 m/s, and icing conditions that temporarily affect UAV performance. Four small octocopter drones, each with a 0.5kg payload, operate as a coordinated swarm featuring leader, follower, and relay roles. The drones are equipped with GNSS, IMU, lidar, and RGB cameras, but face GNSS multipath risks due to urban structures. A static no-fly zone (cylinder, 20m radius) is located in the center, and a dynamic no-fly zone moves near the northeast quadrant. A single intruder UAV and a moving spherical obstacle challenge separation, with a 25m minimum separation threshold. The mission must be completed within 600 seconds, following a corridor pattern through four waypoints to a designated landing site. Communication dropouts occur briefly at 300s and 450s, and icing degrades performance between 200s and 260s, increasing stall risk.","Direct paths at 110m AGL, adjust heading for wind drift",Descend to 15m AGL near static NFZ to reduce exposure,Fly clockwise arc around static NFZ at 90m AGL,Climb to 125m AGL for better GNSS signal clarity,"Reroute northeast quadrant at 100m AGL, 30m detour",Hold position at third waypoint until dynamic NFZ passes,Split swarm early to parallelize delivery and relay comms,"[""Direct paths at 110m AGL, adjust heading for wind drift"", ""Descend to 15m AGL near static NFZ to reduce exposure"", ""Fly clockwise arc around static NFZ at 90m AGL"", ""Climb to 125m AGL for better GNSS signal clarity"", ""Reroute northeast quadrant at 100m AGL, 30m detour"", ""Hold position at third waypoint until dynamic NFZ passes"", ""Split swarm early to parallelize delivery and relay comms""]","Option E maintains safe separation from the dynamic obstacle while preserving altitude within the 10–120m AGL limit and minimizing detour distance. It accounts for wind-induced drift from 240° and avoids GNSS multipath zones near urban structures. Other options either breach altitude limits, increase exposure to icing, or delay mission completion past 600s." 2025-11-01T18:05:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Powerline_Inspection_at_Airport_Perimeter_under_Hot_Conditions_3689453038f7_mcq.json,uavbench-mcq-v1,Swarm_Powerline_Inspection_at_Airport_Perimeter_under_Hot_Conditions,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"At 200 s, UAV-3 must reroute around a drifting 50 m obstacle while maintaining 15 m separation and 10–120 m AGL in 8.5 m/s winds.","Swarm UAVs conduct powerline inspection near an airport perimeter under hot conditions with icing risks. The mission occurs in controlled airspace with a maximum altitude of 120 m AGL and a minimum of 10 m AGL. Winds are moderate at 8.5 m/s from 210°, increasing to 10 m/s at 50 m altitude with gusts up to 4.2 m/s. Four battery-powered hexacopters with RGB and thermal cameras, LiDAR, and full navigation sensors form the swarm. Payload includes inspection sensors with added drag and mass, impacting flight efficiency. A static no-fly zone (cylinder, 100 m radius) and a moving obstacle (50 m radius, drifting) restrict flight paths. GNSS multipath effects and electromagnetic interference degrade positioning accuracy near structures. Swarm must maintain 15 m inter-UAV separation and avoid dynamic no-fly zones and other air traffic. An icing event occurs at 250 seconds, reducing performance for one minute, and thermal updrafts affect stability. Communication dropouts occur briefly at 200 and 450 seconds, requiring resilient data handling and DAA compliance.","Climb to 110 m, arc 70 m west, resume course","Descend to 12 m, fly direct through obstacle edge",Hold position at 60 m AGL for 20 seconds,"Turn sharp left, reduce separation to 8 m","Fly 50 m east, then straight to next waypoint",Drop to 8 m AGL to avoid wind shear,"Follow 60 m radius curve north, maintain 115 m AGL","[""Climb to 110 m, arc 70 m west, resume course"", ""Descend to 12 m, fly direct through obstacle edge"", ""Hold position at 60 m AGL for 20 seconds"", ""Turn sharp left, reduce separation to 8 m"", ""Fly 50 m east, then straight to next waypoint"", ""Drop to 8 m AGL to avoid wind shear"", ""Follow 60 m radius curve north, maintain 115 m AGL""]","Option G safely bypasses the drifting obstacle with sufficient clearance, stays within the 10–120 m AGL band, and preserves 15 m inter-UAV separation. The 60 m turn radius accounts for wind from 210° and GNSS drift near structures, minimizing energy use and re-routing delay. Other options violate altitude, separation, or obstacle avoidance constraints." 2025-11-01T18:05:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Thermal_Soaring_in_Rural_Microburst_Risk_5514adc72336_mcq.json,uavbench-mcq-v1,Swarm_Thermal_Soaring_in_Rural_Microburst_Risk,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"At 600 s, one UAV has motor failure (15.5 m/s winds, 320 Wh battery); what action balances safety, energy, and swarm cohesion?","Swarm UAVs conduct a rural survey mission in Class G airspace with microburst risk. The environment features strong winds up to 15.5 m/s increasing with altitude and wind shear. Five fixed-wing hybrid drones with thermal and RGB cameras operate as a coordinated swarm. Each UAV has a 320 Wh battery, 1.8 kg mass, and carries a 0.3 kg payload. The mission includes thermal soaring near plumes at (800,600) and (1200,900) for energy efficiency. A static no-fly zone is present at (1000,300), and a moving obstacle drifts near (900,500). A dynamic no-fly zone moves through the area at 3.6 m/s, requiring real-time avoidance. Minimum separation between UAVs is 25 meters, with DAA thresholds set at 25 m and 15 s TTC. GNSS jamming occurs at 420 seconds, and one drone suffers partial motor failure at 600 seconds. Communication dropouts happen briefly at 350 and 700 seconds, testing autonomy and resilience.",Descend to 50 m to reduce wind exposure and save energy,Increase speed to exit high-wind zone quickly using full thrust,Climb to 120 m for thermal updrafts despite higher wind shear,Hold current altitude and reduce formation separation to 20 m,"Turn toward nearest thermal at (800,600) at reduced throttle",Proceed directly to home base at maximum glide angle,Broadcast distress and hover in place for swarm reassembly,"[""Descend to 50 m to reduce wind exposure and save energy"", ""Increase speed to exit high-wind zone quickly using full thrust"", ""Climb to 120 m for thermal updrafts despite higher wind shear"", ""Hold current altitude and reduce formation separation to 20 m"", ""Turn toward nearest thermal at (800,600) at reduced throttle"", ""Proceed directly to home base at maximum glide angle"", ""Broadcast distress and hover in place for swarm reassembly""]","Turning toward the nearest thermal at reduced throttle conserves energy while exploiting updrafts for lift, compensating for motor failure. It maintains safety by avoiding higher winds aloft and preserves swarm coordination through predictable, energy-efficient maneuvering. Other options either increase energy use, violate separation, or risk instability in high winds." 2025-11-01T18:05:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal-Assisted_Glider_Emergency_Landing_at_Bridge_Site_120b41e2511f_mcq.json,uavbench-mcq-v1,Thermal-Assisted_Glider_Emergency_Landing_at_Bridge_Site,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,F,False,"At 320s, link lost; glider has 30% battery, thermal updrafts, and must land safely amid traffic and obstacles.","This scenario involves a glider UAV conducting an inspection mission at a bridge site. The airspace is constrained by a geofenced polygon with both static and moving no-fly zones. Weather includes steady winds from the southwest, increasing with altitude, and thermal updrafts that the glider can exploit. The UAV is battery-powered with a thermal camera and RGB camera payload for inspection tasks. GNSS signals are degraded due to multipath effects and moderate jamming, requiring robust navigation. The mission must be completed within 600 seconds, following a corridor pattern through five waypoints. A dynamic obstacle moves slowly through the airspace, and another UAV is present on a crossing path. The glider must avoid stalls and maintain safe separation from traffic and obstacles. Battery reserve is critical, with 30% reserved for safety. An emergency link loss occurs at 320 seconds, triggering autonomous emergency landing procedures using thermal lift and visual sensors.",Continue mission to complete all five waypoints,Land immediately at nearest hard surface,Climb using thermals to extend comms range,Eject payload to reduce weight for glide,Fly toward bridge traffic for visual tracking,Navigate to designated emergency landing zone,Follow the other UAV to find clear area,"[""Continue mission to complete all five waypoints"", ""Land immediately at nearest hard surface"", ""Climb using thermals to extend comms range"", ""Eject payload to reduce weight for glide"", ""Fly toward bridge traffic for visual tracking"", ""Navigate to designated emergency landing zone"", ""Follow the other UAV to find clear area""]","The emergency at 320s requires immediate focus on safe autonomous landing within remaining battery and environmental constraints. Continuing the mission or climbing risks control loss and collision, violating safety and emergency hierarchy. F prioritizes human safety, respects geofencing, uses available sensors and lift, and follows lawful emergency procedures." 2025-11-01T18:05:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Glider_Training_in_Desert_6209f5b7b4f3_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Glider_Training_in_Desert,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 200 seconds, icing occurs with GNSS jamming detected near (1400,1000); which action maintains control and data integrity?","This is a glider UAV conducting a thermal updraft-assisted survey mission in a desert environment. The aircraft operates between 10 and 300 meters AGL within a defined rectangular geofence. It leverages rising thermal plumes located near (800,600) and (1400,1000) to extend endurance in strong wind conditions that increase with altitude. The glider is equipped with a battery-powered propulsion system, RGB and thermal cameras, and standard navigation sensors. Winds start at 6 m/s at ground level and increase to 12 m/s at 200 meters, shifting direction from 240° to 270°. A static no-fly zone is present at (500,300), and a dynamic no-fly zone moves near (1200,700) at 2.5 m/s. The mission includes five waypoints flown in a spiral pattern with a 50-meter loiter radius, requiring precise energy management. A second UAV and a moving spherical obstacle introduce traffic separation challenges, with a minimum 50-meter separation threshold. The glider must also handle an icing event at 200 seconds, reduced comms availability during two downlink loss windows, and electromagnetic interference. Despite good visibility and no GNSS multipath, the UAV faces temperature extremes and must land at the preferred site or designated emergency location.",Switch to encrypted inertial-only navigation with authenticated commands,Continue using GNSS with unverified position updates,Disable telemetry encryption to reduce latency,Upload new waypoints over unauthenticated radio link,Rely solely on visual tracking of moving obstacle,Increase loiter radius to avoid thermal updrafts,Transmit unencrypted video during downlink loss,"[""Switch to encrypted inertial-only navigation with authenticated commands"", ""Continue using GNSS with unverified position updates"", ""Disable telemetry encryption to reduce latency"", ""Upload new waypoints over unauthenticated radio link"", ""Rely solely on visual tracking of moving obstacle"", ""Increase loiter radius to avoid thermal updrafts"", ""Transmit unencrypted video during downlink loss""]","Switching to encrypted inertial navigation preserves control stability and data integrity during GNSS jamming. Authenticated commands prevent spoofed inputs, ensuring resilient operation. This maintains availability and confidentiality despite environmental and adversarial stresses." 2025-11-01T18:05:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Swarm_Thermal_Soaring_in_Dense_Urban_Low_Visibility_116c25d564c9_mcq.json,uavbench-mcq-v1,Swarm_Thermal_Soaring_in_Dense_Urban_Low_Visibility,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"With icing at 70% severity for 60s and winds up to 11.5 m/s, which action preserves swarm integrity and survey completion within 600s?","This is a swarm UAV survey mission in dense urban airspace with poor visibility and icing conditions. The environment features strong winds up to 11.5 m/s increasing with altitude and wind shear between layers. Four fixed-wing hybrid VTOL drones equipped with thermal and RGB cameras, LiDAR, and full navigation sensors operate as a coordinated swarm. Each UAV has a 320Wh battery and carries a 0.3kg payload, relying on aerodynamic efficiency and thermal updrafts to conserve energy. The mission is constrained by a polygonal geofence, a static no-fly zone over a cylinder near the center, and a moving no-fly zone drifting at 1.8 m/s. Additional hazards include GNSS multipath, moderate jamming at -85 dBm, electromagnetic interference, and periodic comms loss. Swarming rules enforce a minimum 10-meter separation between drones, with roles assigned for leadership, scouting, following, and relay. The flight profile includes thermal soaring using two detected updrafts to extend endurance within the 600-second time budget. Icing events occur mid-mission, degrading performance for one minute with 70% severity. Drones must avoid dynamic obstacles, maintain separation from intruder traffic, and manage degraded GNSS while completing a grid survey pattern.",A- Climb to 120m AGL to avoid updraft turbulence,B- Descend to 40m AGL and delay thermal soaring,在玩家中- Maintain 80m AGL and continue grid survey,D- Split swarm to double-cover grid faster,E- Abort mission and return to origin runway,F- Enter holding pattern at 90m AGL near NFZ,G- Accelerate to 18 m/s to finish before icing,"[""A- Climb to 120m AGL to avoid updraft turbulence"", ""B- Descend to 40m AGL and delay thermal soaring"", ""在玩家中- Maintain 80m AGL and continue grid survey"", ""D- Split swarm to double-cover grid faster"", ""E- Abort mission and return to origin runway"", ""F- Enter holding pattern at 90m AGL near NFZ"", ""G- Accelerate to 18 m/s to finish before icing""]","Maintaining deviates minimum from planned energy-optimal profile. Other options violate separation, increase icing risk, waste time, or break geofence/NFZ constraints. This balances endurance, swarm cohesion, and hazard tolerance within 600s." 2025-11-01T18:05:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Glider_Training_in_Snowfall_1fdd8af0c2fd_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Glider_Training_in_Snowfall,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,B,False,"At 120s, icing reduces performance for 60s; wind shear increases from 6.5 to 9.5 m/s between 10–200 m. How should the glider respond?","This scenario involves a glider UAV conducting a survey mission in rural airspace under poor visibility due to snowfall and icing conditions. The UAV is equipped with thermal and RGB cameras, relying on battery power with a total capacity of 320 Wh. Strong winds increase with altitude, ranging from 6.5 m/s at ground level to 9.5 m/s at 200 m, with directional shear from 240° to 260°. Thermal updrafts are present near (800,600) and (1200,900), providing lift opportunities for the glider. GNSS signals suffer from multipath interference and moderate jamming at -95 dBm, challenging navigation accuracy. The flight is confined between 10 m and 300 m AGL within a polygonal geofence, with a static no-fly zone centered at (750,300) and a moving no-fly zone drifting toward the northwest. A second UAV enters the airspace from the east, flying at 14 m/s, requiring separation management with a minimum safe distance of 25 m. The mission includes a dynamic obstacle—a drifting sphere at 60 m altitude—and requires a runway-aligned landing approach. An icing event occurs at 120 seconds into the flight, reducing performance for one minute, while brief comms loss happens between 400–420 seconds. The glider must complete its corridor survey within 600 seconds while managing energy, weather hazards, and airspace constraints.",Climb to 250 m to exploit strong tailwinds and save energy,Descend to 15 m to minimize wind exposure and maintain control,"Turn east toward the thermal at (800,600) using minimum sink speed",Increase airspeed to 16 m/s to penetrate wind shear and stay on course,"Circle in thermal updraft at (1200,900) to regain altitude and energy",Hold straight and level at 100 m to await performance recovery,Initiate emergency descent and divert to nearest landing zone,"[""Climb to 250 m to exploit strong tailwinds and save energy"", ""Descend to 15 m to minimize wind exposure and maintain control"", ""Turn east toward the thermal at (800,600) using minimum sink speed"", ""Increase airspeed to 16 m/s to penetrate wind shear and stay on course"", ""Circle in thermal updraft at (1200,900) to regain altitude and energy"", ""Hold straight and level at 100 m to await performance recovery"", ""Initiate emergency descent and divert to nearest landing zone""]","Descending to 15 m reduces exposure to strong winds and directional shear, improving aerodynamic stability during icing-induced performance loss. It conserves energy by avoiding climb penalties and maintains safe separation from the moving UAV and drifting obstacle. This balances flight safety, controllability, and mission continuity within geofence and time constraints." 2025-11-01T18:05:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Training_at_Airport_Perimeter_under_Low_Visibility_813c87553511_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Training_at_Airport_Perimeter_under_Low_Visibility,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"With GNSS jamming, 9.5 m/s winds at 100 m, and a 1-minute icing fault, which action ensures resilient navigation and control during the corridor survey?","This UAV mission is a thermal updraft training survey conducted near an airport perimeter. The octocopter operates in controlled airspace with a maximum altitude of 120 m AGL and a defined polygonal geofence. Weather conditions include poor visibility, icing risks, and moderate winds increasing with altitude, reaching 9.5 m/s at 100 m. The UAV is equipped with a thermal camera, RGB camera, radar, and standard navigation sensors, powered by a battery with 1800 Wh capacity. Key constraints include a static no-fly zone near the center and a moving no-fly zone drifting southwest. A dynamic moving obstacle and another UAV add traffic complexity, requiring strict separation. GNSS signals face multipath interference and moderate jamming, challenging navigation reliability. The mission involves following a corridor pattern through five waypoints within a 10-minute window. An icing fault event occurs mid-mission, reducing performance for one minute. Battery reserve is set to 30%, and communication dropouts occur briefly at two intervals.",Switch to encrypted INS-GPS blended mode with radar altimeter bias correction,Rely solely on GPS with open-loop heading hold from magnetometer,Disable telemetry encryption to reduce latency during communication dropouts,Use unauthenticated RC override to correct drift from wind gusts,Maintain course using thermal camera optical flow in absence of GNSS,Activate geofence override to bypass static no-fly zone for time gain,Transmit unencrypted heartbeat signals to confirm link availability,"[""Switch to encrypted INS-GPS blended mode with radar altimeter bias correction"", ""Rely solely on GPS with open-loop heading hold from magnetometer"", ""Disable telemetry encryption to reduce latency during communication dropouts"", ""Use unauthenticated RC override to correct drift from wind gusts"", ""Maintain course using thermal camera optical flow in absence of GNSS"", ""Activate geofence override to bypass static no-fly zone for time gain"", ""Transmit unencrypted heartbeat signals to confirm link availability""]","A maintains integrity and availability by fusing trusted inertial and radar data while preserving encrypted command channels. It mitigates GNSS jamming and environmental faults without exposing control to spoofing or injection. Other options compromise authentication, sensor resilience, or geofence enforcement." 2025-11-01T18:05:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Training_Offshore_e9d7b387cdcc_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Training_Offshore,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 250 m AGL, 14 m/s wind, and icing onset, what adjustment maintains lift with minimal drag increase?","This is an offshore inspection mission using a solar-powered fixed-wing UAV equipped with RGB and thermal cameras. The flight occurs near an offshore platform within a defined polygonal airspace from 10 to 300 meters AGL. Weather includes strong winds up to 14 m/s increasing with altitude, rain, poor visibility, and icing conditions. The UAV must navigate around a static no-fly zone and a moving obstacle that shifts southwest at 2.8 m/s. Thermal updrafts are present at two locations to potentially aid lift. GNSS signals suffer from multipath and interference, with brief comms loss windows during the flight. A second UAV and a moving spherical obstacle add collision risks requiring DAA monitoring. An icing event reduces performance between 180–300 seconds into the mission. Takeoff and landing require runway alignment, and energy management is critical due to battery limitations. The mission must be completed within 10 minutes while avoiding geofence breaches, stalls, and separation violations.",Increase angle of attack by 3°,Reduce airspeed to 18 m/s,Descend to 150 m AGL immediately,Extend flaps fully for extra lift,Bank 45° to exploit thermal updraft,Increase throttle to 95% thrust,Pitch down 2° to reduce drag,"[""Increase angle of attack by 3°"", ""Reduce airspeed to 18 m/s"", ""Descend to 150 m AGL immediately"", ""Extend flaps fully for extra lift"", ""Bank 45° to exploit thermal updraft"", ""Increase throttle to 95% thrust"", ""Pitch down 2° to reduce drag""]","Descending to 150 m AGL reduces exposure to stronger winds and colder, denser air where ice accretes faster, improving lift-to-drag ratio. Lower altitude increases air density, enhancing wing performance despite reduced solar heating. This preserves energy and avoids stall risk during icing, balancing lift, drag, and Reynolds number effects." 2025-11-01T18:05:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Training_at_Industrial_Plant_608c6e122e1e_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Training_at_Industrial_Plant,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,A,False,"At 120s, with GNSS degraded and a second UAV approaching within 30m, how should the amphibious UAV adjust to maintain 25m separation and RSSI > -88 dBm?","This mission involves a thermal updraft training flight at an industrial plant using an amphibious fixed-wing UAV equipped with RGB and thermal cameras. The UAV operates within a defined polygonal airspace bounded between 5 and 120 meters AGL, featuring a static no-fly zone around a critical facility and a moving restricted zone due to dynamic equipment. Weather includes a 6 m/s wind from 240° at ground level, increasing to 11 m/s at 100 meters with shifting direction, alongside two active thermal plumes providing lift. The UAV must navigate through a corridor inspection pattern while managing energy using updrafts, constrained by GNSS signal multipath and electromagnetic interference degrading navigation accuracy. A second UAV enters the airspace on an opposing heading, requiring separation monitoring with a 25-meter minimum distance threshold. The mission demands runway-assisted takeoff and landing, with a preferred runway at the southeast edge and an emergency landing zone available. Communication experiences brief dropouts at 120 and 450 seconds, requiring robust data linking with minimum RSSI of -88 dBm. The UAV carries a 0.7 kg payload optimized for thermal imaging, with battery capacity limiting mission time to under 10 minutes. Flight control uses discrete actions with transition times between VTOL and forward flight modes. Success depends on completing all waypoints without geofence breaches, maintaining safe separation, and landing with sufficient battery reserve.",Climb to 110m using thermal updraft for better signal and clearance,Descend to 10m AGL to avoid conflict and reduce wind effects,Hold position at 60m AGL and switch to optical flow navigation,Accelerate forward to exit conflict zone before 25m breach,Turn 180° and retrace path at same altitude to increase separation,Enter VTOL mode and hover until the second UAV passes,Shift laterally into moving restricted zone to create buffer,"[""Climb to 110m using thermal updraft for better signal and clearance"", ""Descend to 10m AGL to avoid conflict and reduce wind effects"", ""Hold position at 60m AGL and switch to optical flow navigation"", ""Accelerate forward to exit conflict zone before 25m breach"", ""Turn 180° and retrace path at same altitude to increase separation"", ""Enter VTOL mode and hover until the second UAV passes"", ""Shift laterally into moving restricted zone to create buffer""]","Climbing leverages thermal lift to maintain energy efficiency while increasing altitude improves RSSI by reducing multipath and extending line-of-sight. It ensures vertical separation from the opposing UAV under wind shear conditions, preserving communication and avoiding lateral incursion into restricted zones. Other options either breach separation, violate airspace, or degrade navigation during dropouts." 2025-11-01T18:05:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Training_for_Glider_UAV_Offshore_8570f3dd38a2_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Training_for_Glider_UAV_Offshore,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,E,False,"At 200 m AGL, winds are 13.5 m/s from 260°, and icing begins. What should the UAV do to maintain lift with minimal drag?","This scenario involves a glider UAV conducting an offshore inspection mission near an offshore platform. The UAV is equipped with RGB and thermal cameras, relying on battery power and aerodynamic efficiency to maximize endurance. It operates within a defined airspace polygon, between 10 and 300 meters AGL, with a static no-fly zone and a moving restricted zone due to dynamic obstacles. Strong offshore winds increase with altitude, reaching 13.5 m/s at 200 meters, and wind direction shifts from 240° to 260°, requiring adaptive flight control. Thermal updrafts are present at two locations, offering potential lift for energy-efficient flight. The environment includes icing conditions and a simulated icing event at 180 seconds, affecting aerodynamics. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference challenges sensor reliability. Air traffic includes another UAV moving through the airspace, and separation standards require maintaining at least 25 meters distance with a time-to-closest-approach threshold of 20 seconds. The mission requires runway-aligned landing, with communication dropouts occurring briefly at 120 and 400 seconds, adding complexity to command and control.",Increase angle of attack to 14° to compensate for reduced lift,Descend to 150 m AGL and reduce airspeed to 22 m/s,Climb to 250 m AGL and align with wind direction,Enter thermal updraft at 240° azimuth to gain altitude,Maintain current altitude and increase airspeed to 30 m/s,Reduce angle of attack to decrease induced drag,Turn into wind (260°) and decrease airspeed to 18 m/s,"[""Increase angle of attack to 14° to compensate for reduced lift"", ""Descend to 150 m AGL and reduce airspeed to 22 m/s"", ""Climb to 250 m AGL and align with wind direction"", ""Enter thermal updraft at 240° azimuth to gain altitude"", ""Maintain current altitude and increase airspeed to 30 m/s"", ""Reduce angle of attack to decrease induced drag"", ""Turn into wind (260°) and decrease airspeed to 18 m/s""]","Icing reduces wing lift and increases stall risk, requiring higher airspeed to maintain lift coefficient. Increasing to 30 m/s compensates for degraded aerodynamics while minimizing angle of attack to avoid stall. This balances Reynolds number effects and maintains controllability under wind shear and reduced max lift." 2025-11-01T18:05:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Training_for_Glider_UAV_f2edab22f26a_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Training_for_Glider_UAV,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,G,False,"At 280 m AGL, GNSS degrades due to jamming and westerly gusts exceed 15 m/s; which navigation strategy maintains position integrity?","This scenario involves a glider UAV conducting a thermal updraft training survey near an airport perimeter. The mission takes place in controlled airspace with a maximum altitude of 300 m AGL and includes a geofenced operational area and static as well as moving no-fly zones. Weather conditions feature strong westerly winds increasing with altitude, gusts, and a microburst risk, alongside active thermal plumes to exploit for lift. The UAV is battery-powered with a thermal and RGB camera payload, designed for efficient soaring flight. Key constraints include GNSS multipath, electromagnetic interference, and moderate signal jamming, affecting navigation reliability. The UAV must avoid a dynamic no-fly zone and a moving spherical obstacle while maintaining separation from other air traffic. It is required to land on a designated runway, with emergency landing sites available. A simulated icing event occurs mid-mission, reducing performance temporarily. Communication experiences brief uplink/downlink losses, and flight endurance is limited by battery reserve requirements. Success depends on efficient energy use, thermal soaring, and adherence to safety and operational constraints.",Rely solely on GNSS with Kalman smoothing,Switch to IMU-only dead reckoning indefinitely,Fuse visual odometry with pitot-static air data,Use magnetometer heading without calibration,Descend immediately using barometric hold only,Trust thermal camera for altitude stabilization,Combine visual-inertial fusion with wind-compensated drift models,"[""Rely solely on GNSS with Kalman smoothing"", ""Switch to IMU-only dead reckoning indefinitely"", ""Fuse visual odometry with pitot-static air data"", ""Use magnetometer heading without calibration"", ""Descend immediately using barometric hold only"", ""Trust thermal camera for altitude stabilization"", ""Combine visual-inertial fusion with wind-compensated drift models""]","Visual-inertial fusion compensates for GNSS degradation and jamming by leveraging camera and IMU data, while wind-aware drift models correct for strong, gusty westerlies. This maintains position accuracy without relying on compromised signals. Other options ignore sensor limitations or environmental dynamics, increasing risk." 2025-11-01T18:05:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Training_in_Desert_with_Lightning_Risk_2db95cc28c6f_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Training_in_Desert_with_Lightning_Risk,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 340 seconds, altitude 120 m AGL, wind 3.8 m/s, battery 140 Wh: optimize path near thermal updraft while avoiding moving NFZ and ensuring GNSS jamming resilience.","This UAV mission is a survey operation conducted in a desert environment with designated altitude limits from 10 to 300 meters AGL. The aircraft is a single-rotor helicopter equipped with RGB and thermal cameras, powered by a 450 Wh battery, and carrying a 0.3 kg payload. Weather conditions include strong winds increasing with altitude, gusts up to 4 m/s, and a risk of lightning, which introduces operational hazards. The airspace contains a static no-fly zone near the start area and a moving no-fly zone drifting northeast, requiring real-time avoidance. A second UAV and a moving spherical obstacle add complexity, necessitating strict separation standards of 25 meters and 20 seconds time-to-collision threshold. The mission faces GNSS multipath effects, electromagnetic interference, and a planned GNSS jamming event at 350 seconds lasting 45 seconds, degrading positioning reliability. Thermal updrafts are present at two locations, which the helicopter may exploit for lift, but lightning risk at 500 seconds poses a critical fault condition. The flight must complete within 600 seconds, returning to the preferred landing site while avoiding geofence breaches, NFZ violations, and collisions.",Climb to 250 m for stronger updraft lift and better visibility,Descend to 15 m AGL to minimize wind exposure and save power,Maintain current altitude and heading with passive obstacle monitoring,Fly directly through thermal updraft at 90 m to gain lift,"Turn northeast to bypass NFZ, increasing speed to 18 m/s",Reduce speed to 8 m/s and descend to 45 m for energy efficiency,"Shift westward, maintain 110 m, use terrain-aware navigation mode","[""Climb to 250 m for stronger updraft lift and better visibility"", ""Descend to 15 m AGL to minimize wind exposure and save power"", ""Maintain current altitude and heading with passive obstacle monitoring"", ""Fly directly through thermal updraft at 90 m to gain lift"", ""Turn northeast to bypass NFZ, increasing speed to 18 m/s"", ""Reduce speed to 8 m/s and descend to 45 m for energy efficiency"", ""Shift westward, maintain 110 m, use terrain-aware navigation mode""]","Option G balances energy conservation by leveraging moderate updraft influence, maintains safe separation from the moving NFZ and obstacle, and prepares for GNSS jamming by using terrain-aware navigation. It avoids high-wind altitudes and preserves battery while ensuring flight stability and positioning resilience during the upcoming 45-second jamming event." 2025-11-01T18:05:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Training_in_Forest_with_Amphibious_UAV_35c8a9b83a72_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Training_in_Forest_with_Amphibious_UAV,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,Which flight strategy optimizes energy use and obstacle avoidance at 120 m AGL with 8.5 m/s crosswinds and thermal updrafts?,"This is a thermal updraft training mission in a forested area using an amphibious fixed-wing UAV equipped with thermal and RGB cameras. The UAV operates within a defined polygonal airspace bounded from 5 to 120 meters AGL, featuring a runway for takeoff and landing. Strong crosswinds up to 8.5 m/s increase with altitude, shifting direction and speed, while two thermal plumes provide potential lift zones. The UAV must navigate around a static no-fly zone near the center and avoid a moving obstacle drifting northeast. A dynamic no-fly zone also moves slowly through the area, requiring real-time path adaptation. GNSS signals suffer from multipath effects and moderate jamming, compounded by electromagnetic interference affecting sensor reliability. The mission involves surveying a corridor of waypoints within a 600-second window, requiring efficient energy use from its 450 Wh battery. The UAV transitions between VTOL and forward flight, with limited manoeuvrability during conversion phases. Communication experiences brief dropouts, and the UAV must maintain separation from another UAV entering the airspace from the east.",Climb rapidly to 120 m for maximum thermal lift,Fly at 5 m AGL to minimize wind exposure,Alternate between thermals using minimal GNSS,Follow waypoints at constant 60 m AGL,Use VTOL mode throughout for control precision,Circle one thermal to extend flight time,"Fly direct routes between waypoints, ignoring thermals","[""Climb rapidly to 120 m for maximum thermal lift"", ""Fly at 5 m AGL to minimize wind exposure"", ""Alternate between thermals using minimal GNSS"", ""Follow waypoints at constant 60 m AGL"", ""Use VTOL mode throughout for control precision"", ""Circle one thermal to extend flight time"", ""Fly direct routes between waypoints, ignoring thermals""]","Using thermals improves energy efficiency and endurance within the 450 Wh battery limit. Minimal GNSS reliance compensates for signal jamming and multipath. Other options increase energy use, risk collisions, or fail in navigation under interference." 2025-11-01T18:05:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Training_in_Harbor_with_Glider_6d050553022a_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Training_in_Harbor_with_Glider,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 125 seconds, GNSS degrades and comms drop for 15 seconds. Which response maintains control and data integrity?","This scenario involves a glider UAV conducting a thermal updraft training mission in a harbor environment. The airspace is confined between 10 and 120 meters AGL, with a defined polygonal geofence and two no-fly zones—one static and one moving. Weather conditions include a 6.5 m/s wind from 240 degrees, increasing with altitude, and poor visibility due to low visibility phenomena. Thermal plumes are present at two locations, providing lift opportunities for the glider to exploit. The UAV is equipped with a battery-powered system, RGB and thermal cameras, and standard navigation sensors, but faces GNSS multipath effects and electromagnetic interference. It must maintain separation from a single intruder UAV and a moving spherical obstacle while navigating. Communication includes brief uplink/downlink outages between 120–135 and 400–410 seconds. The mission requires completing a corridor survey with five waypoints within a 600-second time limit, starting from a designated spawn point. Notable constraints include avoiding no-fly zones, respecting minimum separation of 25 meters, and managing battery reserves. The glider must also contend with reduced GNSS signal quality and dynamic obstacles while executing its route.",Switch to INS with encrypted telemetry streaming,Continue GNSS reliance; increase update frequency,Transmit unencrypted status bursts during outage,Disable encryption to reduce communication latency,Lock flight path; suspend obstacle avoidance,Accept all sensor inputs without validation,Send plaintext commands to override controls,"[""Switch to INS with encrypted telemetry streaming"", ""Continue GNSS reliance; increase update frequency"", ""Transmit unencrypted status bursts during outage"", ""Disable encryption to reduce communication latency"", ""Lock flight path; suspend obstacle avoidance"", ""Accept all sensor inputs without validation"", ""Send plaintext commands to override controls""]","Switching to INS preserves control stability during GNSS and comms outages. Encrypted telemetry ensures data integrity against spoofing. This maintains confidentiality, availability, and secure state estimation under adversarial conditions." 2025-11-01T18:05:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Training_in_Rural_Cold_Environment_a63537566f48_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Training_in_Rural_Cold_Environment,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 180s, icing reduces performance for 60s. How should the UAV react while maintaining 30m separation and 50m DAA?","This is a search and rescue mission using a VTOL tiltrotor UAV in a rural environment with a defined 3km x 2km operational zone. The UAV is equipped with RGB and thermal cameras, powered by a 1200Wh battery, and carries a 1.2kg payload. Weather includes moderate winds increasing with altitude, gusts, and icing conditions that temporarily reduce performance. Thermal updrafts are present at two locations, offering potential lift for energy-efficient flight. The mission involves navigating a corridor pattern through four waypoints while avoiding static and moving no-fly zones. A dynamic no-fly zone moves across the airspace, and a moving obstacle poses collision risks. The UAV must maintain separation from another traffic UAV and comply with DAA thresholds of 50m and 30s TTC. GNSS is reliable with no multipath but experiences mild jamming and electromagnetic interference. The mission includes an icing fault event at 180 seconds lasting one minute with moderate severity. Swarm operation with three UAVs requires maintaining minimum 30m inter-UAV separation.",Climb to 120m AGL for smoother air and continue mission,Descend to 40m AGL and reduce speed to conserve battery,Divert immediately to nearest runway avoiding thermal zones,Hold position at 80m AGL until icing event ends at 240s,Accelerate to exit corridor before dynamic NFZ arrival,Turn toward thermal updraft and ascend to 100m AGL,"Descend to 60m AGL, slow to 15m/s, and proceed to WP2","[""Climb to 120m AGL for smoother air and continue mission"", ""Descend to 40m AGL and reduce speed to conserve battery"", ""Divert immediately to nearest runway avoiding thermal zones"", ""Hold position at 80m AGL until icing event ends at 240s"", ""Accelerate to exit corridor before dynamic NFZ arrival"", ""Turn toward thermal updraft and ascend to 100m AGL"", ""Descend to 60m AGL, slow to 15m/s, and proceed to WP2""]","Descending to 60m AGL avoids severe icing at higher altitudes while maintaining safe separation and DAA compliance. It balances energy conservation, obstacle avoidance, and mission continuity better than riskier climbs or inefficient holds. Other options either increase icing exposure, waste energy, or violate separation and timing constraints." 2025-11-01T18:05:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Training_at_Harbor_6bff9d742ff6_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Training_at_Harbor,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,E,False,"At 520s, UAV is at (1100, 850) at 110m AGL, 20% battery. Winds 10.5 m/s at 170°. Which action avoids NFZ, traffic, and ensures return?","This is a thermal updraft training mission conducted in a harbor environment. The UAV is a hexacopter equipped with RGB and thermal cameras, operating within a defined airspace from 5 to 120 meters AGL. Winds are moderate at 6.5 m/s, increasing with altitude up to 10.5 m/s, and changing direction from 145° to 170°. Two thermal updrafts are present, located at (800, 600) and (1200, 900), with vertical velocities of 2.1 and 1.8 m/s respectively. The mission involves a corridor survey with five waypoints and a time budget of 600 seconds. GNSS signals are degraded due to multipath effects and electromagnetic interference, with jamming at -95 dBm. A static no-fly zone is located near (1000, 300), and a dynamic obstacle moves near (700, 800) with a 50-meter radius. A second UAV and a moving spherical obstacle introduce traffic and collision risks. The hexacopter must manage battery reserves carefully while maintaining separation and avoiding geofence violations.",Descend to 40m AGL and proceed directly to home waypoint,"Climb to 120m AGL to catch stronger updraft at (1200, 900)","Turn east to avoid dynamic obstacle, hold at (1150, 900) until 600s","Fly to (800, 600) updraft to extend endurance before returning","Initiate immediate return via (1000, 1000), descending to 60m AGL","Maintain course and altitude, relying on GNSS for final approach",Circle at current position to harvest thermal updraft until mission end,"[""Descend to 40m AGL and proceed directly to home waypoint"", ""Climb to 120m AGL to catch stronger updraft at (1200, 900)"", ""Turn east to avoid dynamic obstacle, hold at (1150, 900) until 600s"", ""Fly to (800, 600) updraft to extend endurance before returning"", ""Initiate immediate return via (1000, 1000), descending to 60m AGL"", ""Maintain course and altitude, relying on GNSS for final approach"", ""Circle at current position to harvest thermal updraft until mission end""]","Option E ensures separation from the dynamic obstacle and NFZ while descending to a safer altitude band with reduced wind exposure. It initiates timely return within battery limits, avoiding reliance on degraded GNSS. Other options either risk collision, violate geofence, waste time, or fail to account for energy margins." 2025-11-01T18:05:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Training_in_Sandstorm_-_Heavy_Lift_Indoor_f069b5ce1eac_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Training_in_Sandstorm_-_Heavy_Lift_Indoor,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Plan trajectory from spawn to W1 at 18m AGL, avoiding moving obstacle with 8 m/s winds and lidar-only navigation.","This is an indoor inspection mission using a heavy-lift octocopter equipped with thermal and RGB cameras, lidar, and IMU-based navigation. The UAV operates in a confined warehouse airspace with a maximum altitude of 25 meters and a defined geofenced area. A sandstorm creates poor visibility and strong winds up to 8 m/s, increasing with altitude and shifting direction slightly. The environment includes a thermal updraft near the center, which may affect flight dynamics. GNSS is unavailable due to indoor operation, and significant GNSS multipath and jamming are present, compounded by electromagnetic interference. A static no-fly zone and a moving no-fly cylinder create dynamic obstacles, requiring real-time avoidance. Another UAV and a moving spherical obstacle introduce additional collision risks, demanding strict separation monitoring. The mission involves navigating a corridor pattern through four waypoints within a 10-minute time limit, starting from a fixed spawn point. Battery capacity is limited, with 30% reserved for safety, and downlink communication fails during a critical phase. The UAV must rely on non-GNSS sensors and maintain situational awareness despite sensor faults and communication loss.","Climb to 20m, direct route to W1 maintaining 25m ceiling","Descend to 15m, fly left arc around thermal updraft zone","Hold altitude at 18m, proceed direct through moving NFZ cylinder","Ascend to 24m, overfly static NFZ with minimal turn radius","Reduce speed, follow wall at 17m using lidar corridor tracking","Accelerate to 10m/s, bypass W1 and head to W2 early","Descend to 10m, climb after passing updraft for energy savings","[""Climb to 20m, direct route to W1 maintaining 25m ceiling"", ""Descend to 15m, fly left arc around thermal updraft zone"", ""Hold altitude at 18m, proceed direct through moving NFZ cylinder"", ""Ascend to 24m, overfly static NFZ with minimal turn radius"", ""Reduce speed, follow wall at 17m using lidar corridor tracking"", ""Accelerate to 10m/s, bypass W1 and head to W2 early"", ""Descend to 10m, climb after passing updraft for energy savings""]","Lidar-dependent navigation requires close-range obstacle profiling; wall-following at 17m avoids updraft and wind shear near ceiling. This path stays clear of NFZs, preserves battery under strong winds, and ensures timely waypoint sequencing within the 10-minute limit." 2025-11-01T18:05:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Training_in_Sandstorm_at_Airport_Perimeter_cad8d1d641eb_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Training_in_Sandstorm_at_Airport_Perimeter,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,"Which UAV system best handles 14 m/s winds, GNSS jamming from 250–295 s, and thermal updrafts while maintaining 30% battery reserve?","This is a UAV survey mission conducted near an airport perimeter using a quadrotor equipped with thermal and RGB cameras, radar, and standard navigation sensors. The flight occurs in poor visibility due to an active sandstorm, with strong and increasing winds up to 14 m/s at 100 meters altitude. The UAV must navigate around a static no-fly zone and a moving obstacle that drifts through the airspace, while also avoiding a dynamic no-fly cylinder in motion. Thermal updrafts are present at two locations, which the UAV may exploit for lift training purposes. GNSS signals are degraded due to multipath effects and electromagnetic interference, with a simulated jamming event occurring between seconds 250 and 295. The mission includes a discrete action control scheme and requires maintaining separation from other traffic and obstacles per DAA thresholds. The flight envelope is limited between 5 and 120 meters AGL within a defined polygonal geofence. Battery endurance is a key constraint, with a 30% reserve required and high power draw expected due to wind and drag. The UAV spawns near the perimeter and must complete a corridor-style waypoint route while managing comms loss during the jamming window. Success depends on avoiding NFZ breaches, collisions, and maintaining minimum separation and battery levels throughout the 600-second mission.",Fixed-wing with long endurance but poor hover and updraft utilization,Hexacopter with redundant motors and strong wind tolerance,Lightweight quadrotor with high agility but low wind resistance,Solar-powered UAV with unlimited endurance but weak payload,Jet-powered UAV with high speed but excessive power draw,"VTOL with tilt rotors, moderate wind resistance, and medium payload",Quadrotor with radar-aided navigation and efficient updraft soaring,"[""Fixed-wing with long endurance but poor hover and updraft utilization"", ""Hexacopter with redundant motors and strong wind tolerance"", ""Lightweight quadrotor with high agility but low wind resistance"", ""Solar-powered UAV with unlimited endurance but weak payload"", ""Jet-powered UAV with high speed but excessive power draw"", ""VTOL with tilt rotors, moderate wind resistance, and medium payload"", ""Quadrotor with radar-aided navigation and efficient updraft soaring""]","The quadrotor with radar-aided navigation maintains reliable obstacle avoidance and DAA compliance during GNSS jamming. It exploits thermal updrafts to reduce power consumption, preserving battery. Other systems either lack sensor resilience, cannot utilize thermals, or exceed power and flight envelope constraints." 2025-11-01T18:05:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Training_in_Snowfall_at_Wind_Farm_01f694df2215_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Training_in_Snowfall_at_Wind_Farm,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During GNSS degradation and 90s icing fault at 1200m AGL, how should the UAV maintain secure, stable flight with swarm separation?","High-altitude pseudo-satellite UAV conducts thermal updraft survey training within a wind farm airspace. The mission takes place in poor visibility due to active snowfall and icing conditions, with moderate to strong winds increasing with altitude. The UAV is equipped with radar, RGB and thermal cameras, and relies on battery power with significant energy demands. It operates between 100m and 1200m AGL, navigating around static and dynamic no-fly zones, including a moving obstacle and shifting restricted cylinder. GNSS signals are degraded by multipath effects and interference, with brief communication dropouts expected. The UAV must manage energy carefully while exploiting thermal plumes for lift, under swarm coordination with minimum 50m inter-vehicle separation. Icing fault is simulated mid-mission, reducing performance for 90 seconds. Traffic from another UAV and strict DAA thresholds add complexity to safe navigation. The mission emphasizes endurance, sensor use, and resilience in challenging winter weather within constrained airspace.",Switch to encrypted INS with radar-aided terrain matching,Increase GNSS weighting to counteract multipath errors,Disable thermal camera to save power during icing event,Broadcast unencrypted position updates to maintain swarm sync,Use open-loop timer-based control during communication dropouts,Rely solely on RGB vision for obstacle avoidance in snowfall,Accept spoofed GNSS fixes to avoid control mode switching,"[""Switch to encrypted INS with radar-aided terrain matching"", ""Increase GNSS weighting to counteract multipath errors"", ""Disable thermal camera to save power during icing event"", ""Broadcast unencrypted position updates to maintain swarm sync"", ""Use open-loop timer-based control during communication dropouts"", ""Rely solely on RGB vision for obstacle avoidance in snowfall"", ""Accept spoofed GNSS fixes to avoid control mode switching""]","Encrypted INS with radar-aided terrain matching preserves navigation integrity and confidentiality during GNSS spoofing and jamming. It maintains control stability by fusing trusted sensor data, ensuring resilient operation under icing and poor visibility. Other options either expose the system to cyber intrusion or degrade physical control." 2025-11-01T18:05:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Training_in_Underground_Mine_e44088799f0c_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Training_in_Underground_Mine,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 125s, UAV1 detects icing and a moving obstacle 30m away at 15s time-to-closest approach. What should UAV1 do immediately?","This scenario involves an inspection mission using a battery-powered helicopter UAV inside an underground mine. The UAV is equipped with thermal and RGB cameras, LiDAR, and standard navigation sensors, supporting a 1.2 kg payload. Flight occurs within a confined airspace bounded between 0–50 m AGL, restricted by static and moving no-fly zones. The environment features poor visibility, icing conditions, and strong winds with gusts, including a wind shear profile and thermal updrafts of 2.1 m/s. GNSS signals are degraded due to multipath effects, jamming at -75 dBm, and electromagnetic interference. The mission includes a predefined corridor pattern with five waypoints and a 10-minute time budget, starting and ending near the spawn point. A second UAV and a moving spherical obstacle operate in the same space, requiring separation of at least 25 meters and a time-to-closest-approach threshold of 15 seconds. An icing fault event occurs at 120 seconds, lasting one minute with moderate severity, impacting performance. Communication experiences periodic downlink losses, and the UAV must manage battery reserves carefully, with a 30% reserve requirement and limited energy capacity.",Climb 10m to avoid shear and reroute laterally,Descend to 15m AGL to reduce wind exposure,Hold position for 20 seconds to reassess,Accelerate to exit conflict zone in 8 seconds,Signal UAV2 to adjust speed and shift right 15m,Switch to RGB-only mode to save power,Transmit fault alert and request path update from UAV2,"[""Climb 10m to avoid shear and reroute laterally"", ""Descend to 15m AGL to reduce wind exposure"", ""Hold position for 20 seconds to reassess"", ""Accelerate to exit conflict zone in 8 seconds"", ""Signal UAV2 to adjust speed and shift right 15m"", ""Switch to RGB-only mode to save power"", ""Transmit fault alert and request path update from UAV2""]",UAV1 must communicate the icing fault and coordinate path adjustment to maintain 25m separation under degraded comms and dynamic obstacles. Only G ensures inter-agent awareness and joint trajectory replanning. Other options fail to synchronize intent or violate time/bandwidth constraints. 2025-11-01T18:05:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Training_in_Urban_Canyon_ad7c7562ee20_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Training_in_Urban_Canyon,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Plan route for glider UAV through 5 waypoints in urban canyon with 10–120 m AGL, 6 m/s wind at 135°, and moving NFZ westward.","This is a glider UAV conducting a thermal updraft training mission in an urban canyon environment. The airspace is confined between 10 m and 120 m AGL with a rectangular geofence and multiple no-fly zones, including a dynamic one moving westward. Weather includes a 6 m/s wind from 135° with gusts up to 4 m/s and increasing wind speed and directional shear with altitude. The UAV is equipped with RGB and thermal cameras for survey purposes and relies on battery power with a 320 Wh capacity. Key constraints include GNSS multipath effects, electromagnetic interference, and temporary comms loss windows. Two thermal plumes provide lift opportunities at specific locations within the canyon. A moving spherical obstacle and another UAV traffic agent increase situational complexity. The mission requires navigating a corridor pattern through five waypoints while avoiding obstacles and preserving battery. Flight performance must account for aerodynamic efficiency, limited climb capability, and strict separation thresholds for collision avoidance.",Climb immediately to 120 m AGL for optimal glide efficiency,Fly direct at 15 m AGL through center of geofence corridor,Delay departure until moving NFZ exits thermal plume zone,Reroute eastward around moving obstacle at 85 m AGL,Descend below 10 m AGL to avoid GNSS multipath effects,Proceed to Waypoint 3 via shortest path through NFZ boundary,Use thermal updrafts near plumes to gain altitude efficiently,"[""Climb immediately to 120 m AGL for optimal glide efficiency"", ""Fly direct at 15 m AGL through center of geofence corridor"", ""Delay departure until moving NFZ exits thermal plume zone"", ""Reroute eastward around moving obstacle at 85 m AGL"", ""Descend below 10 m AGL to avoid GNSS multipath effects"", ""Proceed to Waypoint 3 via shortest path through NFZ boundary"", ""Use thermal updrafts near plumes to gain altitude efficiently""]","Exploiting thermal updrafts maximizes energy efficiency and sustains flight within 10–120 m AGL band. It avoids unnecessary climbs and comms-interrupt-prone altitudes while adapting to wind shear. Other options violate AGL limits, breach NFZs, or ignore battery constraints." 2025-11-01T18:05:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Tower_Spiral_Inspection_in_Desert_053ad4957ace_mcq.json,uavbench-mcq-v1,Tower_Spiral_Inspection_in_Desert,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Which path avoids the 50m NFZ at (500,500), stays under 150m AGL, and completes within 600s using 30% battery reserve?","This mission involves a helicopter UAV conducting a tower spiral inspection in a desert environment. The flight occurs within a 1 km² airspace bounded by a polygonal geofence, with operations limited between 0 and 150 meters AGL. A cylindrical no-fly zone of 50-meter radius and 120-meter ceiling is centered at (500, 500), requiring careful navigation near the inspection target. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, supporting detailed visual and thermal data collection. It has a total mass of 8.5 kg, including a 0.7 kg payload, and relies on a 450 Wh battery with a 30% reserve requirement. Winds are moderate at 6 m/s from 230 degrees, with gusts up to 3 m/s, but visibility is good and no adverse weather phenomena are present. The mission follows a spiral pattern around the tower with waypoints ascending to 110 meters and descending, maintaining a 20-meter loiter radius. The UAV must avoid GNSS multipath risks near the tower structure while maintaining separation of at least 25 meters from obstacles. Launch and landing are planned at (100, 100), with an emergency site available at (900, 900). The entire operation must complete within a 600-second time budget while ensuring battery endurance and mission success.","Direct ascent to 110m at (500,525), spiral CW maintaining 20m radius","Approach (500,500) from west at 130m, spiral CCW inside 22m radius","Fly to (550,500) at 100m, loiter 30s, descend spiraling into 15m radius","Climb to 120m at (450,500), orbit at 18m radius, descend southward","Enter spiral from (500,575) at 110m, maintain 25m separation, exit north","Ascend at (520,500) to 140m, spiral tightly at 19m radius, ignore gust effects","Reroute to (900,900) first, then proceed to tower at 100m AGL","[""Direct ascent to 110m at (500,525), spiral CW maintaining 20m radius"", ""Approach (500,500) from west at 130m, spiral CCW inside 22m radius"", ""Fly to (550,500) at 100m, loiter 30s, descend spiraling into 15m radius"", ""Climb to 120m at (450,500), orbit at 18m radius, descend southward"", ""Enter spiral from (500,575) at 110m, maintain 25m separation, exit north"", ""Ascend at (520,500) to 140m, spiral tightly at 19m radius, ignore gust effects"", ""Reroute to (900,900) first, then proceed to tower at 100m AGL""]","Option E approaches from outside the NFZ, maintains 25m obstacle separation, and uses optimal altitude for sensor coverage. It preserves battery by minimizing lateral drift in 6 m/s winds from 230°. Other options violate NFZ, altitude, separation, or time constraints." 2025-11-01T18:05:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Tower_Spiral_Inspection_in_Icing_Conditions_50b7aac433ad_mcq.json,uavbench-mcq-v1,Tower_Spiral_Inspection_in_Icing_Conditions,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"At 240s, icing reduces lift; winds are 8.5 m/s from 240°; visibility poor. Which action maintains inspection integrity?","Heavy-lift UAV conducts tower inspection via spiral flight pattern within an industrial plant. Mission takes place in a 200m x 150m airspace with a 120m altitude ceiling and a ground-level no-fly cylinder near the center. UAV carries RGB and thermal cameras plus LiDAR, with a 5.2kg payload for structural and thermal assessment. Operating in poor visibility and icing conditions, with winds at 8.5 m/s from 240° and gusts up to 4.2 m/s. Icing fault is simulated at 240 seconds, reducing performance for 120 seconds. UAV must avoid GNSS multipath risks near metallic structures and maintain separation of at least 25 meters. Battery capacity is 8500 Wh, with a 30% reserve required for safe return. Flight begins at (10,10,10) and aims to complete the inspection within 600 seconds. Preferred landing is at origin; emergency site is at the far corner of the site. Geofence and no-fly zone compliance, along with DAA breach monitoring, are critical mission constraints.",Switch to GNSS-only positioning near towers,Rely solely on LiDAR for obstacle avoidance,Descend immediately below 25m to avoid wind,Activate IMU-visual-thermal sensor fusion mode,Increase spiral radius using GNSS waypoints,Disable thermal camera to save battery power,Continue with RGB-LiDAR fusion ignoring wind drift,"[""Switch to GNSS-only positioning near towers"", ""Rely solely on LiDAR for obstacle avoidance"", ""Descend immediately below 25m to avoid wind"", ""Activate IMU-visual-thermal sensor fusion mode"", ""Increase spiral radius using GNSS waypoints"", ""Disable thermal camera to save battery power"", ""Continue with RGB-LiDAR fusion ignoring wind drift""]","Poor visibility and GNSS multipath near metallic structures degrade satellite and optical performance. IMU-visual-thermal fusion provides resilient positioning by combining inertial stability, visual odometry, and thermal contrast to track structures. This mode mitigates icing-induced drift and wind disturbances while maintaining sensor redundancy and inspection accuracy." 2025-11-01T18:05:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Tower_Spiral_Inspection_in_Dusty_Dense_Urban_Environment_0accdfcbaa28_mcq.json,uavbench-mcq-v1,Tower_Spiral_Inspection_in_Dusty_Dense_Urban_Environment,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,How should the UAV adapt during the 30-second GNSS outage with 12 m/s winds and dust reducing visibility?,"This is an inspection mission using a fuel-powered helicopter UAV in a dense urban environment. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors for tower inspection. It operates within a 200m x 200m geofenced area, with a minimum altitude of 10m AGL and a maximum of 150m. A static no-fly zone surrounds the central tower, and a dynamic no-fly zone moves through the area during the mission. Strong winds up to 12 m/s increase with altitude and shift direction, compounded by dust and sandstorm conditions reducing visibility. GNSS performance is degraded due to multipath effects, electromagnetic interference, and a planned 30-second jamming event. The UAV follows a spiral pattern around the tower, loitering at increasing altitudes up to 120m. Air traffic and a moving spherical obstacle require real-time separation management. Communication dropouts are expected at two intervals, and the UAV must maintain safe separation of at least 25m from obstacles. The mission must complete within 600 seconds while avoiding geofence, altitude, and collision violations.",Continue spiral at full speed using LiDAR only,Climb to 150m for better GNSS signal post-outage,Descend to 10m AGL and loiter with reduced rotor speed,Hover at current altitude using visual-inertial navigation,Abort mission and return to base immediately,Increase camera frame rate to compensate for navigation loss,Reduce sensor payload power and proceed with IMU integration,"[""Continue spiral at full speed using LiDAR only"", ""Climb to 150m for better GNSS signal post-outage"", ""Descend to 10m AGL and loiter with reduced rotor speed"", ""Hover at current altitude using visual-inertial navigation"", ""Abort mission and return to base immediately"", ""Increase camera frame rate to compensate for navigation loss"", ""Reduce sensor payload power and proceed with IMU integration""]","During GNSS outage, minimizing power use and relying on IMU preserves energy and maintains situational awareness. Continuing with reduced payload load avoids unnecessary computation and sensor draw, balancing navigation accuracy and endurance. Other options increase risk or consumption without improving mission completion within 600 seconds." 2025-11-01T18:05:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Tower_Spiral_Inspection_in_Forest_with_Lightning_Risk_5ebe2a271218_mcq.json,uavbench-mcq-v1,Tower_Spiral_Inspection_in_Forest_with_Lightning_Risk,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 430 seconds, GNSS jamming begins. Which action ensures control and navigation integrity during the 30-second outage?","This is an inspection mission using a hexacopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place in a forested airspace with a defined rectangular geofence and a cylindrical no-fly zone around a central tower. The UAV must perform a spiral ascent around the tower, climbing from 80m to 110m AGL while maintaining a 15m loiter radius. Weather includes strong 8.5 m/s winds from 240° with gusts up to 4 m/s and a risk of lightning, requiring cautious operations. The UAV has a 520Wh battery with a 30% reserve, and energy use is affected by drag and maneuvering in wind. A second UAV is present in the airspace, moving westward, requiring separation of at least 15m and a time-to-closest-approach threshold of 8 seconds. A moving spherical obstacle drifts southwest near the flight path, adding dynamic collision risk. GNSS jamming and communication loss are expected between 420–450 seconds, lasting 30 seconds, which may degrade navigation during a critical phase. The UAV must complete the mission within 600 seconds, return safely to the start, and avoid geofence, altitude, or separation violations.",Switch to encrypted IMU and barometer with LIDAR-aided SLAM,Rely on last known GNSS fix with dead reckoning,Descend immediately to avoid collision,Transmit unencrypted position updates every 0.5s,Hover using GPS with reduced control frequency,Trust thermal camera for drift compensation,Request position from second UAV via open link,"[""Switch to encrypted IMU and barometer with LIDAR-aided SLAM"", ""Rely on last known GNSS fix with dead reckoning"", ""Descend immediately to avoid collision"", ""Transmit unencrypted position updates every 0.5s"", ""Hover using GPS with reduced control frequency"", ""Trust thermal camera for drift compensation"", ""Request position from second UAV via open link""]","A- ensures secure, authenticated sensor fusion using encrypted inertial and altimeter data, augmented by LiDAR to maintain position integrity. It preserves control stability during GNSS denial and resists spoofing. Other options either expose data, rely on compromised signals, or lack precision for safe loitering in wind." 2025-11-01T18:05:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Tower_Spiral_Inspection_in_Powerline_Corridor_with_Lightning_Risk_738c88bb68fb_mcq.json,uavbench-mcq-v1,Tower_Spiral_Inspection_in_Powerline_Corridor_with_Lightning_Risk,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During 45-second GNSS jamming with potential comms loss, how should the UAV maintain position near the tower?","The mission is an inspection of a powerline corridor using a single rotorcraft UAV configured as a helicopter. The flight occurs in a confined polygonal airspace with a no-fly zone around a central tower. Weather includes moderate wind from the southwest and a risk of lightning, requiring cautious operations. The UAV carries both RGB and thermal cameras for visual inspection and is powered by a battery with limited endurance. The helicopter must perform a spiral ascent pattern around a structure while avoiding the cylindrical NFZ. A moving spherical obstacle traverses the area horizontally, and another UAV flies nearby, requiring separation monitoring. GNSS jamming is expected midway, lasting 45 seconds, with potential comms loss shortly before. The UAV relies on GNSS, IMU, and barometer for navigation, making it vulnerable to multipath near towers. The scenario emphasizes safe battery management, fault resilience, and maintaining separation despite sensor degradation.",Rely solely on barometer and IMU for altitude and attitude,"Switch to encrypted, authenticated vision-aided inertial navigation",Hover using last known GNSS coordinates until signal returns,Descend immediately to avoid control instability,Transmit unencrypted telemetry to ground for remote piloting,Use open Wi-Fi to relay position updates to the other UAV,Disable intrusion detection to reduce processing load,"[""Rely solely on barometer and IMU for altitude and attitude"", ""Switch to encrypted, authenticated vision-aided inertial navigation"", ""Hover using last known GNSS coordinates until signal returns"", ""Descend immediately to avoid control instability"", ""Transmit unencrypted telemetry to ground for remote piloting"", ""Use open Wi-Fi to relay position updates to the other UAV"", ""Disable intrusion detection to reduce processing load""]","Encrypted and authenticated vision-aided inertial navigation preserves data integrity and availability during GNSS denial. It maintains control stability by fusing trusted sensor inputs, enabling obstacle and NFZ avoidance. Other options expose the system to spoofing, unavailability, or single points of failure." 2025-11-01T18:05:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Tower_Spiral_Inspection_in_Sandstorm_31f2221ea560_mcq.json,uavbench-mcq-v1,Tower_Spiral_Inspection_in_Sandstorm,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 330s, GNSS and comms fail; UAV must avoid NFZ, traffic, and sandstorm with IMU only, 90Wh remaining.","This is an inspection mission using a quadrotor UAV equipped with RGB and thermal cameras, as well as LiDAR, in a rural airspace. The UAV operates within a 200m x 200m polygonal geofence, avoiding a cylindrical no-fly zone centered at (100, 100) with a 30m radius and up to 110m altitude. The mission involves flying a spiral pattern around a tower located near the center, ascending and descending to inspect at different heights. Strong winds of 8.5 m/s from 240° and gusts up to 4.5 m/s are present, with poor visibility due to an active sandstorm. A second UAV is flying through the airspace at 10 m/s, and a moving spherical obstacle drifts near the inspection area. The UAV must maintain at least 25m separation from traffic and avoid both the NFZ and geofence boundaries. GNSS signals are jammed between 300s and 360s, coinciding with a comms downlink loss window, increasing reliance on IMU and barometer. The UAV starts with a 320Wh battery and reserves 30% for safe return, constrained by a 600-second time budget. Launch occurs from (10,10,10) with a preferred landing at the same point and an emergency site at (190,190,0). Success depends on completing the inspection without collisions, breaches, or battery depletion despite environmental and sensor challenges.",Descend immediately to 10m for stability in wind,Hold position using IMU until GNSS returns at 360s,Continue spiral ascent to complete inspection level 3,"Evasive left turn, then climb to 110m above NFZ","Abort mission, navigate southwest using barometer",Match second UAV’s velocity to share sensor data,Circle tower at current altitude to preserve task progress,"[""Descend immediately to 10m for stability in wind"", ""Hold position using IMU until GNSS returns at 360s"", ""Continue spiral ascent to complete inspection level 3"", ""Evasive left turn, then climb to 110m above NFZ"", ""Abort mission, navigate southwest using barometer"", ""Match second UAV’s velocity to share sensor data"", ""Circle tower at current altitude to preserve task progress""]","E ensures safe return using available sensors while respecting battery reserve and avoiding reliance on lost GNSS. Continuing (B, C, G) risks navigation errors near NFZ and traffic; evasive maneuvers (D, F) increase collision risk. Only E aligns with energy, safety, and timing constraints under degraded sensing." 2025-11-01T18:05:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Tower_Spiral_Inspection_in_Sandstorm_9d3757286442_mcq.json,uavbench-mcq-v1,Tower_Spiral_Inspection_in_Sandstorm,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"During a 60-second GNSS outage in sandstorm conditions at 15 m/s winds, how should the UAV adjust navigation and coordination with ground relay?","This UAV mission involves inspecting a tower using a spiral flight pattern in a dense urban environment. The high-altitude pseudo-satellite UAV is equipped with RGB and thermal cameras, LiDAR, radar, and full navigation sensors. It operates under severe weather conditions including a sandstorm, poor visibility, and strong winds up to 15 m/s with gusts. The airspace restricts flight between 50 m and 600 m AGL, with a cylindrical no-fly zone around the tower base. A nearby runway is required for operations, and the UAV must maintain separation from other air traffic and a moving spherical obstacle. GNSS signals are degraded due to multipath effects and intentional jamming, with a planned 60-second GNSS outage during the mission. Communication links experience a temporary loss window, and electromagnetic interference further challenges avionics. The UAV must complete its inspection within a 900-second time budget while managing battery reserves. Energy consumption is critical due to high drag and extended hover demands in windy conditions. Mission success depends on precise navigation, obstacle avoidance, and maintaining safety margins despite environmental and system faults.",Rely solely on inertial navigation without external updates,Descend below 50 m AGL to improve signal reception,Switch to LiDAR-aided SLAM with relayed terrain mapping,Hover until GNSS signal returns after 60 seconds,Increase speed to reduce wind drift uncertainty,Transmit all sensor data continuously to conserve power,Abort mission and divert to the nearby runway immediately,"[""Rely solely on inertial navigation without external updates"", ""Descend below 50 m AGL to improve signal reception"", ""Switch to LiDAR-aided SLAM with relayed terrain mapping"", ""Hover until GNSS signal returns after 60 seconds"", ""Increase speed to reduce wind drift uncertainty"", ""Transmit all sensor data continuously to conserve power"", ""Abort mission and divert to the nearby runway immediately""]","LiDAR-aided SLAM provides resilient localization during GNSS outages while leveraging environmental features. The ground relay enables shared situational awareness and mapping updates, maintaining navigation accuracy without violating altitude or timing constraints. Other options either risk safety, exceed time budget, or disrupt coordination." 2025-11-01T18:05:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Tower_Spiral_Inspection_in_Sandstorm_bef63dfdff91_mcq.json,uavbench-mcq-v1,Tower_Spiral_Inspection_in_Sandstorm,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"During spiral ascent in 12 m/s winds and sandstorm, with GNSS jamming at -75 dBm and a motor fault, what action balances safety, navigation, and energy?","This is an inspection mission using a quadrotor UAV equipped with RGB and thermal cameras, LIDAR, and standard navigation sensors. The flight occurs in a rural airspace with a defined geofenced area and a central no-fly zone cylinder around a tower. The UAV must perform a spiral ascent around the tower starting from a hover at 50m east and north, climbing from 40m to 100m AGL. Weather conditions include strong 12 m/s winds from 240 degrees, gusts up to 6 m/s, and poor visibility due to an active sandstorm. GNSS signals are degraded by jamming at -75 dBm and electromagnetic interference, increasing reliance on alternative navigation. A second UAV is present in the airspace, moving toward the southwest, requiring adherence to a 25m separation threshold. A moving spherical obstacle drifts near the tower, posing a dynamic collision risk. The UAV faces two planned faults: a GNSS jamming event lasting 45 seconds and a partial motor failure for 20 seconds. Downlink communications are intermittently lost, limiting telemetry and payload data transmission. Battery reserves are closely monitored due to increased power demands from wind and manoeuvring in sandstorm conditions.",Climb at 3 m/s with 15° bank to reduce drift and conserve battery,Increase climb rate to 5 m/s to finish before battery depletes,Hover and wait for GNSS recovery before continuing ascent,Descend to 30m AGL to reduce wind exposure and save power,Switch to full manual control using RGB feed only,Abort mission and return to home immediately,Maintain planned spiral with 4 m/s ascent and dynamic thrust compensation,"[""Climb at 3 m/s with 15° bank to reduce drift and conserve battery"", ""Increase climb rate to 5 m/s to finish before battery depletes"", ""Hover and wait for GNSS recovery before continuing ascent"", ""Descend to 30m AGL to reduce wind exposure and save power"", ""Switch to full manual control using RGB feed only"", ""Abort mission and return to home immediately"", ""Maintain planned spiral with 4 m/s ascent and dynamic thrust compensation""]","G maintains mission progress while adapting thrust for wind and motor fault, using LIDAR/INS during GNSS outage. It balances climb efficiency, obstacle separation, and energy use under degraded comms and visibility. Other options either compromise safety, waste energy, or fail to meet inspection objectives under cross-domain constraints." 2025-11-01T18:05:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Tower_Spiral_Inspection_in_Snowfall_d149bd30cc94_mcq.json,uavbench-mcq-v1,Tower_Spiral_Inspection_in_Snowfall,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"During a snowstorm, a quadrotor inspects a tower at 5–80 m AGL, facing 6 m/s westerly winds and a 40% efficiency loss for 1 minute. What is optimal?","This mission involves a quadrotor UAV conducting a tower spiral inspection within an industrial plant. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, supporting visual and structural analysis. It operates in poor visibility due to active snowfall and faces icing conditions that can affect aerodynamics and sensor performance. The flight occurs in a confined airspace with a geofenced rectangular zone and a central cylindrical no-fly zone around the tower. The UAV must maintain separation from obstacles, with a minimum safe distance of 10 meters and a time-to-collision threshold of 5 seconds. Strong westerly winds at 6 m/s with gusts up to 3.5 m/s increase control challenges during the spiral ascent. The UAV follows a vertical spiral pattern around the tower at increasing altitudes, staying between 5 and 80 meters AGL. A simulated icing event occurs mid-mission, reducing efficiency by 40% for one minute, testing resilience. Battery reserves are set to 30%, and the UAV must complete the inspection within 10 minutes while avoiding GNSS signal degradation from nearby structures. The mission emphasizes reliable navigation in harsh weather, strict geofence adherence, and successful data collection despite environmental stressors.",Descend immediately to conserve battery after icing event,Maintain spiral rate; allocate extra power to yaw control,Abort mission due to GNSS degradation near structures,Increase climb rate to finish before battery drops below 30%,Hover for 90 seconds to stabilize sensors in high wind,Reduce distance to tower to 6 meters for better imaging,Shift orbit radius outward to counter lateral wind drift,"[""Descend immediately to conserve battery after icing event"", ""Maintain spiral rate; allocate extra power to yaw control"", ""Abort mission due to GNSS degradation near structures"", ""Increase climb rate to finish before battery drops below 30%"", ""Hover for 90 seconds to stabilize sensors in high wind"", ""Reduce distance to tower to 6 meters for better imaging"", ""Shift orbit radius outward to counter lateral wind drift""]","Maintaining a safe 10-meter separation while compensating for westerly gusts requires outward adjustment of the spiral radius. This preserves inspection quality and collision margins despite reduced control efficiency during icing. Other options either violate safety bounds, waste time, or risk premature termination." 2025-11-01T18:05:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Tower_Spiral_Inspection_with_Glider_in_Dusty_Conditions_5cc8b41c429b_mcq.json,uavbench-mcq-v1,Tower_Spiral_Inspection_with_Glider_in_Dusty_Conditions,minimax/minimax-m1,9,Comparative System Reasoning,7,?,E,False,"Which UAV configuration optimizes battery life, obstacle avoidance, and camera stability at 3.2 m/s gusts and 20–120 m AGL?","This mission involves a glider UAV conducting a tower spiral inspection within a powerline corridor. The operation takes place in an urban environment with restricted airspace bounded by a polygon geofence and a cylindrical no-fly zone around a central tower. A moving obstacle drifts westward through the area, requiring dynamic avoidance. The glider is equipped with an RGB camera payload for visual inspection and relies on GNSS, IMU, magnetometer, and barometer for navigation. Weather conditions include moderate winds from 145 degrees, gusts up to 3.2 m/s, and poor visibility due to airborne dust. The UAV must maintain altitude between 20 and 120 meters AGL while executing a spiral pattern around key waypoints. A second UAV enters the airspace from the east, necessitating separation monitoring to avoid breaches within 25 meters or 15 seconds of collision time. Communication experiences brief downlink outages at 120 and 450 seconds, potentially affecting telemetry. The mission emphasizes battery conservation, collision avoidance, and adherence to airspace constraints under degraded environmental conditions.","Fixed-wing with high glide ratio, minimal sensors","Quadcopter with LiDAR, continuous hover at waypoints","Glider with RGB camera, no active propulsion","Hybrid VTOL with GPS-only navigation, no redundancy","Glider with GNSS/IMU fusion, lightweight obstacle detection","Multirotor with dual cameras, frequent position updates","Glider with magnetometer-only heading, no barometer","[""Fixed-wing with high glide ratio, minimal sensors"", ""Quadcopter with LiDAR, continuous hover at waypoints"", ""Glider with RGB camera, no active propulsion"", ""Hybrid VTOL with GPS-only navigation, no redundancy"", ""Glider with GNSS/IMU fusion, lightweight obstacle detection"", ""Multirotor with dual cameras, frequent position updates"", ""Glider with magnetometer-only heading, no barometer""]","Option E balances energy efficiency via glider aerodynamics and precise altitude control using sensor fusion. It includes lightweight obstacle detection critical for dynamic avoidance in dust-impaired visibility. Other options either consume excess power, lack key sensors, or compromise safety and navigation accuracy under gusts and GNSS outages." 2025-11-01T18:05:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Tower_Spiral_Inspection_with_High-Altitude_Pseudo-Satellite_in_Suburban_Airspace_417c5514466f_mcq.json,uavbench-mcq-v1,Tower_Spiral_Inspection_with_High-Altitude_Pseudo-Satellite_in_Suburban_Airspace,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"At 550m AGL, 18 m/s crosswinds and GNSS jamming occur. How should UAVs coordinate imaging near the tower (300,300) with a 200m static no-fly zone?","This is a tower spiral inspection mission using a high-altitude pseudo-satellite UAV in suburban airspace. The UAV is equipped with radar, RGB and thermal cameras for detailed structural imaging. It operates between 50 and 600 meters AGL within a defined polygonal geofence. A static no-fly zone surrounds the base of the tower at (300, 300), extending up to 200 meters, and a dynamic no-fly zone moves near the inspection area. Strong crosswinds increase with altitude, reaching 18 m/s at 500 meters, and thermal updrafts are present nearby. GNSS signals suffer from multipath and moderate jamming, while electromagnetic interference may affect sensors. The UAV must maintain separation from a moving obstacle near the tower and avoid conflict with other air traffic. Communication links experience brief outages, and runway-aligned takeoff and landing are required despite no runway usage. Battery endurance and sensor reliability are critical due to wind and energy demands. The mission emphasizes precision navigation under adverse conditions and strict airspace compliance.",Descend to 400m; reduce wind impact and improve GNSS lock,"Circle tower at 250m radius, maintaining 210m horizontal separation",Accelerate ascent to 600m for clearer radar and thermal overlap,"Halt imaging, return to base until dynamic obstacle clears","Switch to inertial-only navigation, ignoring communication outages","Divide spiral sectors: one UAV leads at 50m intervals, others follow",Transmit data every 30s to compensate for brief link outages,"[""Descend to 400m; reduce wind impact and improve GNSS lock"", ""Circle tower at 250m radius, maintaining 210m horizontal separation"", ""Accelerate ascent to 600m for clearer radar and thermal overlap"", ""Halt imaging, return to base until dynamic obstacle clears"", ""Switch to inertial-only navigation, ignoring communication outages"", ""Divide spiral sectors: one UAV leads at 50m intervals, others follow"", ""Transmit data every 30s to compensate for brief link outages""]",Coordinated sector division enables load balancing and maintains safe vertical spacing in high winds. It preserves situational awareness despite GNSS degradation by leveraging inter-UAV relative positioning. This approach optimizes energy use and mission continuity while respecting the no-fly zone and communication constraints. 2025-11-01T18:05:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Thermal_Updraft_Training_in_Volcanic_Zone_7592fbc87de1_mcq.json,uavbench-mcq-v1,Thermal_Updraft_Training_in_Volcanic_Zone,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"At 240s, UAV faces GNSS jamming at 200m with 13.5 m/s winds and a drifting NFZ near (700, 900). How to proceed?","This is a UAV survey mission in a volcanic zone with thermal updrafts and lightning risk. The airspace is constrained between 0 and 250 meters AGL within a defined polygon boundary. Winds increase with altitude, reaching 13.5 m/s at 200 meters, and shift direction from 240° to 260°. The UAV is a heavy-lift octocopter equipped with thermal and RGB cameras, LiDAR, and full sensor suite including GNSS and IMU. It carries a 5 kg payload and operates on battery power with a 30% reserve requirement. Key constraints include a static no-fly zone near (1000, 400) and a moving no-fly zone drifting near (700, 900). Thermal plumes at two locations provide upward air currents up to 3.0 m/s, usable for energy-efficient flight. GNSS multipath and electromagnetic interference are present, with a simulated GNSS jamming fault occurring between 250 and 295 seconds. A second UAV and a moving spherical obstacle challenge separation assurance, requiring 50-meter minimum distance. The mission must complete within 600 seconds while avoiding geofence breaches, maintaining communication, and landing safely at the designated site.",Climb to 250m for better signal clarity and continue survey,Descend to 100m to reduce wind exposure and hold position,"Use thermal updrafts at (600, 800) to gain altitude and bypass jamming",Abort mission immediately and return to landing site at 0m AGL,"Maintain 200m, switch to IMU-only mode, and complete survey on time","Divert to thermal plume near (300, 500), then reassess route below 150m","Fly direct to (700, 900) to survey before moving NFZ blocks access","[""Climb to 250m for better signal clarity and continue survey"", ""Descend to 100m to reduce wind exposure and hold position"", ""Use thermal updrafts at (600, 800) to gain altitude and bypass jamming"", ""Abort mission immediately and return to landing site at 0m AGL"", ""Maintain 200m, switch to IMU-only mode, and complete survey on time"", ""Divert to thermal plume near (300, 500), then reassess route below 150m"", ""Fly direct to (700, 900) to survey before moving NFZ blocks access""]",GNSS jamming from 250–295s invalidates reliance on GNSS-dependent navigation above 150m where multipath is severe. Option F uses thermals for energy-efficient maneuvering below the wind-affected layer while avoiding the moving NFZ. It preserves battery for safe return within 600s and maintains 50m separation from obstacles using terrain-aware descent. 2025-11-01T18:05:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Tower_Spiral_Inspection_with_Swarm_Drones_in_Industrial_Plant_55c7a8fda649_mcq.json,uavbench-mcq-v1,Tower_Spiral_Inspection_with_Swarm_Drones_in_Industrial_Plant,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"At 200s, icing reduces performance for 45s; drones are at 110m AGL in 9 m/s wind. What action minimizes risk while maintaining inspection progress?","This mission involves a swarm of four inspection drones conducting a spiral inspection of a tower within an industrial plant. The operation takes place in a confined 200m x 150m airspace with a maximum altitude of 120m AGL and a minimum of 5m AGL. Weather conditions include a 6 m/s wind at 135°, gusts up to 3 m/s, and thermal updrafts, with wind increasing to 9 m/s at 50m altitude. The UAVs are battery-powered rotorcraft equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. GNSS multipath effects, electromagnetic interference, and moderate jamming (-85 dBm) degrade positioning reliability. A static no-fly zone surrounds the tower base, and a dynamic obstacle moves near the site, requiring real-time avoidance. The swarm must maintain at least 5m separation and navigate around a moving spherical obstacle and intersecting traffic from another UAV. A communication link experiences brief outages at 150s and 400s, requiring resilient data handling. The mission is further challenged by an icing event at 200s that reduces performance for 45 seconds, testing fault tolerance and energy margins.",Descend to 60m AGL and hold in crosswind,Continue spiral at 110m AGL with increased thrust,Climb to 120m AGL to avoid turbulence,Descend to 10m AGL and hover near NFZ,Divert downwind to edge of airspace,Reduce speed and descend to 50m AGL,Abort mission and land immediately,"[""Descend to 60m AGL and hold in crosswind"", ""Continue spiral at 110m AGL with increased thrust"", ""Climb to 120m AGL to avoid turbulence"", ""Descend to 10m AGL and hover near NFZ"", ""Divert downwind to edge of airspace"", ""Reduce speed and descend to 50m AGL"", ""Abort mission and land immediately""]","Descending to 50m AGL reduces exposure to stronger winds and icing effects while remaining above minimum 5m AGL and avoiding the NFZ. It balances energy conservation, positioning reliability, and obstacle separation, unlike riskier holds or climbs. Other options violate altitude limits, increase energy use, or prematurely terminate the mission." 2025-11-01T18:05:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Tower_Spiral_Inspection_with_HAPS_in_Industrial_Plant_under_Microburst_Risk_6fef40dbdadb_mcq.json,uavbench-mcq-v1,Tower_Spiral_Inspection_with_HAPS_in_Industrial_Plant_under_Microburst_Risk,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,B,False,UAV inspects tower at 300m AGL with 15 m/s winds; must avoid 30m-radius NFZ (20–120m). How to adjust spiral descent under lost-link?,"High-altitude pseudo-satellite UAV conducts tower inspection in an industrial plant. Mission type is infrastructure inspection with a spiral flight pattern around a central point. Operations occur within a 500m x 500m geofenced area, with altitude limits from 20m to 300m AGL. A cylindrical no-fly zone of 30m radius surrounds the tower between 20m and 120m altitude. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Weather includes strong winds up to 15 m/s with directional shear and a microburst risk. Wind increases with altitude, posing turbulence and control challenges. The UAV must maintain separation from a moving obstacle near the plant and avoid a conflicting UAV on approach. GNSS multipath is a concern near industrial structures, and a 30-second lost-link fault occurs mid-mission. Runway landing is required, with preferred and emergency sites designated outside the plant core.",Descend directly through NFZ at 110m to save time,Spiral clockwise maintaining 35m radius above 120m,Fly straight to emergency landing on lost-link trigger,Reduce turn radius to 25m inside NFZ for tighter scan,"Climb to 300m, delay descent until link restored",Reroute east to avoid moving obstacle and NFZ,Descend spiral below 20m AGL outside geofence bounds,"[""Descend directly through NFZ at 110m to save time"", ""Spiral clockwise maintaining 35m radius above 120m"", ""Fly straight to emergency landing on lost-link trigger"", ""Reduce turn radius to 25m inside NFZ for tighter scan"", ""Climb to 300m, delay descent until link restored"", ""Reroute east to avoid moving obstacle and NFZ"", ""Descend spiral below 20m AGL outside geofence bounds""]","B maintains safe lateral and vertical separation from the NFZ while continuing the inspection under lost-link. It respects geofence, AGL limits, and sensor coverage needs. Other options breach NFZ, altitude limits, or abort mission unnecessarily." 2025-11-01T18:05:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Underground_Mine_BVLOS_Test_with_Icing_Conditions_f85c6ae863b5_mcq.json,uavbench-mcq-v1,Underground_Mine_BVLOS_Test_with_Icing_Conditions,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 200s, icing reduces lift and increases drag. Which response maintains lift-to-drag ratio while conserving energy for 600s mission?","This is a BVLOS inspection mission in an underground mine with poor visibility and icing conditions. The UAV is a quadrotor equipped with IMU, magnetometer, barometer, LiDAR, and RGB camera, relying on non-GNSS navigation. It operates within a confined airspace bounded by a rectangular geofence, with a static no-fly zone and a moving restricted zone. A second UAV and a moving spherical obstacle introduce dynamic traffic and collision risks. The mission follows a corridor pattern with five waypoints, requiring careful path planning to avoid obstacles and maintain separation. Icing conditions are simulated via a fault event at 200 seconds, reducing performance for 60 seconds. Communication is degraded with two downlink/uplink loss windows, limiting remote intervention. Battery endurance is critical, with a 30% reserve required and energy consumption affected by drag and maneuvering. The UAV must complete the route within 600 seconds while avoiding NFZ breaches, maintaining safe separation, and landing at a designated site.","Increase throttle, maintain airspeed","Decrease pitch, reduce angle of attack","Bank sharply, avoid moving obstacle","Descend rapidly, exploit density altitude","Hover in place, await clear uplink","Increase angle of attack, reduce speed","Slight pitch-up, moderate throttle boost","[""Increase throttle, maintain airspeed"", ""Decrease pitch, reduce angle of attack"", ""Bank sharply, avoid moving obstacle"", ""Descend rapidly, exploit density altitude"", ""Hover in place, await clear uplink"", ""Increase angle of attack, reduce speed"", ""Slight pitch-up, moderate throttle boost""]","Icing increases drag and reduces airfoil efficiency, requiring higher thrust and angle of attack to maintain lift. Option G balances increased thrust with optimal angle of attack to sustain lift without exceeding power limits or stalling. Other choices either over-stress energy reserves, induce stall, or disrupt airflow symmetry needed for confined corridor flight." 2025-11-01T18:05:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Underground_Mine_Facade_Inspection_in_Icing_Conditions_d7bc9f919488_mcq.json,uavbench-mcq-v1,Underground_Mine_Facade_Inspection_in_Icing_Conditions,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 200s, icing begins; comms drop intermittently. Which action maintains control and data integrity during descent?","Fixed-wing UAV conducts facade inspection in an underground mine with poor visibility and icing conditions. The mission takes place in a confined rectangular airspace with a maximum altitude of 20 meters AGL. Icing conditions are present, with a simulated icing event occurring at 200 seconds into the flight. The UAV is equipped with LiDAR, RGB and thermal cameras, but lacks GNSS, relying on IMU, magnetometer, and barometer for navigation. GNSS multipath and electromagnetic interference degrade positioning, and comms experience intermittent uplink/downlink loss. A no-fly zone cylinder is centered in the mine, and a moving spherical obstacle drifts nearby, requiring dynamic separation. The UAV must maintain separation of at least 10 meters and avoid geofence or altitude violations. The flight pattern follows a corridor route with four waypoints, requiring precise low-altitude maneuvering. Battery endurance is critical, with a 30% reserve required and limited by high drag and icing effects. The UAV must return to a designated landing site, with a runway takeoff and landing required despite confined space constraints.",Switch to pre-programmed inertial mode with encrypted telemetry,Rely solely on magnetometer for heading in confined space,Increase update rate of unauthenticated control commands,Disable intrusion detection to reduce onboard processing load,Transmit raw sensor data over unencrypted downlink,Use GNSS updates despite multipath interference,Activate open-loop actuator commands to save power,"[""Switch to pre-programmed inertial mode with encrypted telemetry"", ""Rely solely on magnetometer for heading in confined space"", ""Increase update rate of unauthenticated control commands"", ""Disable intrusion detection to reduce onboard processing load"", ""Transmit raw sensor data over unencrypted downlink"", ""Use GNSS updates despite multipath interference"", ""Activate open-loop actuator commands to save power""]","Switching to encrypted telemetry and inertial navigation preserves data integrity and control stability during comms loss and GNSS spoofing risks. It ensures authenticated, low-bandwidth operation while maintaining situational awareness. Other options degrade security or fail under sensor degradation." 2025-11-01T18:05:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Underground_Mine_Bridge_Inspection_with_Quadrotor_7badde472ffb_mcq.json,uavbench-mcq-v1,Underground_Mine_Bridge_Inspection_with_Quadrotor,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,A,False,"At 210s, with IMU bias and comms loss, which action maintains inspection progress within 80m×60m and avoids the (45,20,3) obstacle?","This mission involves a quadrotor UAV conducting an inspection in an underground mine environment. The airspace is confined within a 80m x 60m polygon with a maximum altitude of 15m AGL and a no-fly zone centered at (40,30) with an 8m radius. Weather conditions include light wind from 135° at 2 m/s, gusts up to 1.5 m/s, and poor visibility due to dust haze. The UAV is equipped with LIDAR, RGB camera, IMU, magnetometer, and barometer, but lacks GNSS capability, operating in an area with GNSS multipath and electromagnetic interference. Due to the underground setting and dust, visual conditions are degraded, and the UAV must rely on non-GNSS navigation. A moving spherical obstacle drifts through the space at (45,20,3) with slow velocity, requiring dynamic avoidance. The mission has a 600-second time budget and follows a corridor inspection pattern through five waypoints. The UAV experiences periodic comms uplink loss and an IMU bias fault at 200 seconds lasting 30 seconds. Battery reserve is set to 30%, and the flight must respect minimum altitude and separation constraints while avoiding collisions and geofence breaches. The UAV must return to land at the preferred site unless an emergency requires use of the alternate landing zone.",Continue to next waypoint using LIDAR and barometer fusion,Hover and wait for comms restoration and IMU recalibration,Return immediately to alternate landing zone due to sensor fault,Climb to 15m for better dust-penetrating sensor coverage,Deviate 10m east to avoid obstacle without replanning,Broadcast status to non-existent agents to request assistance,Skip remaining waypoints to conserve battery under fault,"[""Continue to next waypoint using LIDAR and barometer fusion"", ""Hover and wait for comms restoration and IMU recalibration"", ""Return immediately to alternate landing zone due to sensor fault"", ""Climb to 15m for better dust-penetrating sensor coverage"", ""Deviate 10m east to avoid obstacle without replanning"", ""Broadcast status to non-existent agents to request assistance"", ""Skip remaining waypoints to conserve battery under fault""]","A uses sensor fusion to maintain navigation without GNSS, preserving mission progress while respecting geofence and obstacle avoidance. It avoids unnecessary hovering or aborting, which would waste time and battery. Other options violate timing, coordination, or situational awareness constraints under decentralized operation." 2025-11-01T18:05:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Underground_Mine_Hexacopter_Moving_NFZ_4521072aa90a_mcq.json,uavbench-mcq-v1,Underground_Mine_Hexacopter_Moving_NFZ,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Plan route from (10,10,5) to W3 (40,30,15) avoiding dynamic NFZ drift and spoofing at 120s; max 50m AGL.","This is an inspection mission using a hexacopter in an underground mine environment. The UAV is equipped with LIDAR, RGB camera, IMU, magnetometer, and barometer but lacks GNSS, relying on alternative navigation. The confined airspace is limited to 50 meters AGL with a defined polygonal geofence and two no-fly zones, one of which moves dynamically. A second UAV and a moving spherical obstacle create dynamic traffic and collision risks. Wind is present at 2 m/s from 135 degrees with gusts up to 1.5 m/s, and visibility is poor with a lightning risk. The mission follows a corridor pattern through four waypoints within a 600-second time budget. The UAV spawns at (10,10,5) and must avoid both static and moving NFZs while maintaining safe separation. A GNSS spoofing fault occurs at 120 seconds, lasting 30 seconds with 70% severity, challenging navigation integrity. Battery capacity is 450 Wh, with a 30% reserve required, and energy consumption is modeled with hover and drag factors. Primary constraints include NFZ compliance, obstacle avoidance, battery endurance, and maintaining DAA separation thresholds.","Direct climb to 15m, straight to W3","Detour east, climb to 45m, then to W3","Follow corridor at 20m, direct to W3","Hover until spoofing ends, then fly direct","Descend to 5m, fly west, then to W3","Fly north to avoid obstacle, ascend slowly",Pre-emptive S-curve at 30m avoiding NFZ edge,"[""Direct climb to 15m, straight to W3"", ""Detour east, climb to 45m, then to W3"", ""Follow corridor at 20m, direct to W3"", ""Hover until spoofing ends, then fly direct"", ""Descend to 5m, fly west, then to W3"", ""Fly north to avoid obstacle, ascend slowly"", ""Pre-emptive S-curve at 30m avoiding NFZ edge""]","G maintains safe lateral and vertical separation from the moving NFZ and spherical obstacle while avoiding high-risk altitudes near 50m AGL. It anticipates GNSS spoofing by relying on pre-planned LIDAR-aided trajectory, minimizing reliance on compromised navigation. Other options either breach NFZ, waste time, or increase collision risk during spoofing." 2025-11-01T18:05:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Underground_Mine_Pipeline_Inspection_with_Glider_UAV_16df253bc5c5_mcq.json,uavbench-mcq-v1,Underground_Mine_Pipeline_Inspection_with_Glider_UAV,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,"Glider UAV inspects pipeline at 3 m/s wind, 1–15 m AGL, with icing reducing performance for 1 minute and intermittent comms.","This mission involves a glider UAV conducting a pipeline inspection inside an underground mine. The confined airspace restricts flight between 1 and 15 meters AGL within a defined polygon boundary. Weather includes poor visibility, 3 m/s wind from the south, gusts up to 2 m/s, and hail, exacerbating environmental challenges. The UAV is equipped with LiDAR, RGB and thermal cameras, relying on IMU, magnetometer, and barometer due to no GNSS availability. Significant GNSS multipath and electromagnetic interference prevent satellite-based navigation, requiring alternative localization. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves slowly through the space, complicating path planning. The UAV must maintain separation from other traffic and a stationary spherical obstacle near the flight path. Communication links are intermittent with two scheduled loss windows, and full uplink/downlink failure is present throughout. An icing event occurs mid-mission, reducing performance for one minute, while battery reserves and minimum separation are closely monitored for safety.",Fly lowest altitude to minimize wind effects and conserve energy via ground effect,Climb to 15 m AGL for better obstacle clearance despite higher wind exposure,Reduce speed below 2 m/s to extend battery life during hail and low visibility,"Accelerate to bypass dynamic no-fly zone quickly, accepting higher energy use","Follow pipeline closely using LiDAR, ignoring separation to maintain coverage",Enter icing phase at higher speed to maintain control but increase power demand,"Hover in place during communication loss, preserving data link integrity","[""Fly lowest altitude to minimize wind effects and conserve energy via ground effect"", ""Climb to 15 m AGL for better obstacle clearance despite higher wind exposure"", ""Reduce speed below 2 m/s to extend battery life during hail and low visibility"", ""Accelerate to bypass dynamic no-fly zone quickly, accepting higher energy use"", ""Follow pipeline closely using LiDAR, ignoring separation to maintain coverage"", ""Enter icing phase at higher speed to maintain control but increase power demand"", ""Hover in place during communication loss, preserving data link integrity""]","Flying at the lowest safe altitude leverages ground effect for energy efficiency and counters wind-induced drift, which is critical under icing and no-GNSS conditions. It maintains separation, respects altitude bounds, and optimizes energy use without compromising navigation or safety during communication gaps." 2025-11-01T18:05:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Underground_Mine_Pipeline_Inspection_with_VTOL_Tiltrotor_af3c068ee123_mcq.json,uavbench-mcq-v1,Underground_Mine_Pipeline_Inspection_with_VTOL_Tiltrotor,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"With 30m max altitude, icing reducing efficiency, and 600s mission time, which action balances energy, safety, and inspection completion?","This is an underground mine pipeline inspection mission using a VTOL tiltrotor UAV. The operation takes place in a confined underground airspace with a maximum altitude of 30 meters AGL and a defined polygonal geofence. Weather includes light wind from the south, poor visibility, and icing conditions that impact flight performance. The UAV is equipped with LiDAR, RGB and thermal cameras for detailed pipeline imaging, relying on IMU, magnetometer, and barometer due to the absence of GNSS. Strong GNSS multipath, jamming, and electromagnetic interference limit satellite-based navigation. A no-fly zone is established around a central cylinder obstacle, and safe separation must be maintained from a moving obstacle and another UAV. The mission requires a runway for transition, with specific VTOL-to-fixed-wing and back transition times. Communication is intermittent with three downlink/uplink loss windows, requiring autonomous operation. An icing fault event occurs mid-mission, reducing efficiency and increasing power draw. The UAV must complete its corridor inspection within 600 seconds while managing battery reserves and avoiding all hazards.",Climb to 28m to maximize obstacle clearance and signal reception,Fly at 15m AGL to reduce power use and improve LiDAR resolution,Descend to 5m to avoid wind but risk collision in poor visibility,Increase speed to 18m/s to finish early despite higher power draw,Hover for 40s to await comms restoration during downlink loss,Transition to fixed-wing at 20m with 100m runway to save energy,"Maintain 12m AGL and 14m/s, adjusting pitch for icing-induced drag","[""Climb to 28m to maximize obstacle clearance and signal reception"", ""Fly at 15m AGL to reduce power use and improve LiDAR resolution"", ""Descend to 5m to avoid wind but risk collision in poor visibility"", ""Increase speed to 18m/s to finish early despite higher power draw"", ""Hover for 40s to await comms restoration during downlink loss"", ""Transition to fixed-wing at 20m with 100m runway to save energy"", ""Maintain 12m AGL and 14m/s, adjusting pitch for icing-induced drag""]","Maintaining 12m AGL ensures safe clearance from terrain and moving obstacles while staying below max altitude. Flying at 14m/s balances energy conservation and mission duration under increased power draw from icing. This choice integrates aerodynamic stability, navigation accuracy without GNSS, energy management, and adherence to time constraints." 2025-11-01T18:05:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Underground_Mine_Loiter_with_Snowfall_79bea021c4bb_mcq.json,uavbench-mcq-v1,Underground_Mine_Loiter_with_Snowfall,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"During loiter at 8 m AGL with 30% battery reserve, how should the UAV adjust pitch and throttle to maintain orbit in 600s inspection under partial rotor icing?","The mission is an inspection task involving a single quadrotor UAV in an underground mine environment. The UAV is equipped with lidar, RGB camera, IMU, magnetometer, and barometer, but lacks GNSS due to subterranean operation. It operates within a confined polygonal airspace with a maximum altitude of 10 meters AGL and must avoid both static and dynamic no-fly zones. A cylindrical static NFZ is centered in the mine, and a moving NFZ drifts slowly through the area, requiring real-time avoidance. The UAV must also navigate around a moving spherical obstacle and maintain separation from another UAV moving through the space. Weather includes snowfall and poor visibility, though the underground setting limits direct exposure. GNSS multipath and jamming are present, compounded by electromagnetic interference, challenging navigation reliability. The UAV experiences communication uplink loss during two time windows and faces faults including GNSS jamming and partial icing on rotors. Battery capacity is limited, with a reserve fraction of 30%, and the mission requires efficient energy use over a 600-second loiter pattern. The UAV must complete its orbit-style waypoint inspection while adhering to strict altitude, collision, and communication constraints.",Increase pitch angle by 5° and reduce throttle by 10%,Maintain current pitch and increase throttle by 15%,Decrease pitch to -3° and throttle by 20%,Double throttle and hold pitch steady,Reduce airspeed by 30% and increase angle of attack,Bank 15° left and cut throttle to 50%,Pitch up 8° and reduce airspeed to 2 m/s,"[""Increase pitch angle by 5° and reduce throttle by 10%"", ""Maintain current pitch and increase throttle by 15%"", ""Decrease pitch to -3° and throttle by 20%"", ""Double throttle and hold pitch steady"", ""Reduce airspeed by 30% and increase angle of attack"", ""Bank 15° left and cut throttle to 50%"", ""Pitch up 8° and reduce airspeed to 2 m/s""]","Partial rotor icing reduces propeller efficiency, decreasing thrust; increased throttle compensates for lost lift without stalling. Maintaining pitch avoids flow separation, ensuring stable loiter within energy limits while countering reduced aerodynamic performance." 2025-11-01T18:05:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Underground_Mine_Powerline_Inspection_with_Convertiplane_9e59150873fb_mcq.json,uavbench-mcq-v1,Underground_Mine_Powerline_Inspection_with_Convertiplane,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"At 25m AGL, 450s into mission, wind hits 5 m/s and comms drop. What action prioritizes safety and mission?","This mission involves a convertiplane UAV conducting a powerline inspection in an underground mine. The confined airspace restricts flight between 0–30 meters AGL within a defined polygonal geofence. Visibility is poor with a risk of microbursts, and wind increases with altitude, reaching 5 m/s at 20 meters. GNSS is unreliable due to multipath and jamming, requiring reliance on IMU, lidar, and barometric sensors for navigation. The UAV carries RGB and thermal cameras as payload for visual inspection tasks. A static no-fly zone blocks the central area, while a dynamic no-fly zone and a moving obstacle drift through the space. Another UAV transits the area at constant speed, requiring separation management. Communication experiences intermittent uplink loss, especially during GNSS jamming and microburst events. The mission must complete within 600 seconds, return to the runway threshold, and maintain safe distances from obstacles and NFZs despite sensor and link challenges.",Descend to 15m AGL to reduce wind exposure and stabilize control,Climb to 30m AGL for clearer sensor line-of-sight,Hover at current altitude to await comms recovery,Eject payload to reduce weight and improve maneuverability,"Exit geofence immediately, abandoning mission",Proceed through static NFZ to shorten inspection path,Accelerate toward runway to preempt power loss,"[""Descend to 15m AGL to reduce wind exposure and stabilize control"", ""Climb to 30m AGL for clearer sensor line-of-sight"", ""Hover at current altitude to await comms recovery"", ""Eject payload to reduce weight and improve maneuverability"", ""Exit geofence immediately, abandoning mission"", ""Proceed through static NFZ to shorten inspection path"", ""Accelerate toward runway to preempt power loss""]","Descending reduces wind-induced instability and conserves energy within safe AGL limits. It maintains mission viability while mitigating control loss during comms blackout. Other options increase risk to structural integrity, violate NFZs, or abandon duty without justification." 2025-11-01T18:05:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Underground_Mine_Recon_with_Quadrotor_d9070e12ca90_mcq.json,uavbench-mcq-v1,Underground_Mine_Recon_with_Quadrotor,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"A quadrotor must complete mine reconnaissance within 10 minutes, avoid a moving no-fly zone, and retain 30% battery. How should it prioritize tasks during uplink blackouts?","This is an underground mine reconnaissance mission using a battery-powered quadrotor UAV equipped with lidar, RGB camera, IMU, magnetometer, and barometer. The mission takes place in a confined underground airspace with a rectangular geofence and both static and moving no-fly zones. Visibility is poor, with moderate wind, gusts, and thermal updrafts creating unstable air currents. GNSS signals are unreliable due to multipath effects and jamming, requiring reliance on inertial and lidar-based navigation. The UAV must complete a corridor-style area reconnaissance within a 10-minute time limit, avoiding obstacles and maintaining safe separation. A dynamic no-fly zone moves through the mine, and a spherical obstacle drifts slowly, adding complexity to path planning. Communication is partially degraded, with two uplink blackout windows, requiring autonomous operation during those periods. The UAV must stay within altitude bounds and avoid collisions while conserving battery, which must retain a 30% reserve. The mission ends with a return to the preferred landing site unless an emergency landing is triggered. Success depends on navigation robustness, obstacle avoidance, and efficient energy use in a GNSS-denied, electromagnetically noisy environment.",Ascend to maximize lidar range and reduce collision risk,Halt propulsion to conserve energy and await signal return,Precompute alternate paths using lidar and IMU for blackout periods,Transmit high-res video continuously to maintain ground contact,Descend to floor level to avoid thermal updrafts and save power,Circle current position until GNSS lock is reestablished,Eject battery to lighten load and extend flight time,"[""Ascend to maximize lidar range and reduce collision risk"", ""Halt propulsion to conserve energy and await signal return"", ""Precompute alternate paths using lidar and IMU for blackout periods"", ""Transmit high-res video continuously to maintain ground contact"", ""Descend to floor level to avoid thermal updrafts and save power"", ""Circle current position until GNSS lock is reestablished"", ""Eject battery to lighten load and extend flight time""]","During uplink blackouts, autonomous navigation must rely on onboard sensors. Precomputing paths with lidar and IMU ensures continuous progress without communication. This maintains mission timing, avoids dynamic obstacles, and preserves energy within safety margins." 2025-11-01T18:05:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Underground_Mine_Thermal_Updraft_Recon_0b185ec0d13b_mcq.json,uavbench-mcq-v1,Underground_Mine_Thermal_Updraft_Recon,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"A glider UAV must coordinate with a second UAV under 10 m separation, 5 s TTC, and shared 50–70 s comms outage in a GNSS-denied mine.","This is a search and rescue mission conducted by a fixed-wing glider UAV inside an underground mine. The UAV operates within a confined airspace bounded by a geofence, with a minimum altitude of 1.0 m AGL and a maximum of 30.0 m AGL. Weather conditions include light winds from 145 degrees at 3.5 m/s with gusts up to 2.0 m/s and poor visibility, along with thermal updrafts providing vertical lift of up to 2.1 m/s in localized zones. The glider is equipped with a thermal camera, RGB camera, LiDAR, IMU, magnetometer, and barometer, but lacks GNSS due to the underground environment. Key constraints include persistent GNSS signal loss, multipath interference, electromagnetic interference, and a jamming signal at -75 dBm, requiring reliance on alternative navigation methods. The UAV must avoid both static and dynamic no-fly zones, including a moving cylindrical NFZ traveling at 0.5 m/s diagonally across the space. It shares the airspace with another UAV on a straight trajectory and must maintain separation using DAA thresholds of 10 m and 5 seconds TTC. Communication is limited with scheduled uplink and downlink outages between 50–70 s and 180–200 s, and minimal RSSI at -95 dBm. The mission must be completed within a 600-second time budget, navigating through a corridor pattern across five waypoints while managing battery reserves and avoiding collisions with static and moving obstacles.",Ascend to 30 m AGL for better thermal lift and visibility range,Match speed and altitude with the other UAV to minimize collision risk,Delay waypoint approach during 50–70 s comms outage to ensure DAA compliance,Lead the other UAV by 15 m to claim priority in corridor navigation,Share LiDAR data continuously despite RSSI of -95 dBm to improve mapping,Descend to 1.0 m AGL near moving NFZ to reduce detection signature,Adjust heading to 145° to align with wind and reduce energy use,"[""Ascend to 30 m AGL for better thermal lift and visibility range"", ""Match speed and altitude with the other UAV to minimize collision risk"", ""Delay waypoint approach during 50–70 s comms outage to ensure DAA compliance"", ""Lead the other UAV by 15 m to claim priority in corridor navigation"", ""Share LiDAR data continuously despite RSSI of -95 dBm to improve mapping"", ""Descend to 1.0 m AGL near moving NFZ to reduce detection signature"", ""Adjust heading to 145° to align with wind and reduce energy use""]","During the 50–70 s communication outage, maintaining situational awareness is critical; delaying the waypoint approach ensures DAA thresholds (10 m, 5 s TTC) are preserved without reliance on real-time data links. This choice respects inter-agent timing and communication constraints, preventing loss of separation when coordination is most vulnerable due to RSSI and jamming. Other options either violate safety margins or assume capabilities degraded by environment or interference." 2025-11-01T18:05:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Underground_Mine_Swarm_Coordination_with_Hexacopters_0f61a22bacfc_mcq.json,uavbench-mcq-v1,Underground_Mine_Swarm_Coordination_with_Hexacopters,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,A UAV reaches waypoint 3 at 12m AGL with 40% battery; fog reduces visibility to 10m. What should it do within 600s mission time?,"This mission involves a swarm of four hexacopters conducting an underground mine inspection. The operation takes place in a confined polygonal airspace with a central no-fly cylinder and strict altitude limits between 0.5 and 15 meters AGL. Weather conditions include light wind from 135 degrees, gusts, and poor visibility due to fog. GNSS is unreliable due to multipath and jamming, requiring reliance on IMU, barometer, magnetometer, LiDAR, and camera RGB for navigation. Each UAV is a 3.5 kg hexacopter with a 540 Wh battery and 0.5 kg payload, equipped for visual and spatial sensing but flying without thermal or radar. The swarm operates with role differentiation—leader, followers, and a relay—maintaining a minimum 5-meter separation. Communication is challenged by intermittent uplink loss and EM interference, with downlink mostly functional. The mission must be completed within 600 seconds, following a corridor inspection pattern through defined waypoints. Notable constraints include avoiding the no-fly zone, maintaining geofence compliance, managing battery reserve, and navigating moving obstacles and another UAV in the airspace.",Descend to 1m AGL and continue at reduced speed,Climb to 15m AGL for better sensor coverage,Hover at current position until visibility improves,Abort mission and return to launch point,Fly direct to next waypoint at 14m AGL,Enter no-fly cylinder to shortcut the pattern,"Reduce speed, maintain 12m AGL, and proceed cautiously","[""Descend to 1m AGL and continue at reduced speed"", ""Climb to 15m AGL for better sensor coverage"", ""Hover at current position until visibility improves"", ""Abort mission and return to launch point"", ""Fly direct to next waypoint at 14m AGL"", ""Enter no-fly cylinder to shortcut the pattern"", ""Reduce speed, maintain 12m AGL, and proceed cautiously""]","Maintaining 12m AGL stays within the 0.5–15m altitude band and avoids the no-fly cylinder. Reducing speed mitigates collision risk in poor visibility while preserving mission timeline and battery. Other options violate altitude, separation, no-fly zone, or endurance constraints." 2025-11-01T18:05:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Underground_Mine_Sandstorm_Touch-and-Go_99ff1068f733_mcq.json,uavbench-mcq-v1,Underground_Mine_Sandstorm_Touch-and-Go,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"How should the UAV adjust pitch and thrust at 8.5 m/s wind from 210° during touch-and-go in confined, GNSS-denied mine?","This is a touch-and-go mission in an underground mine environment with poor visibility due to an active sandstorm. The UAV is an octocopter equipped with IMU, magnetometer, barometer, LiDAR, and RGB camera, but lacks GNSS and radar. It operates within a confined corridor-shaped airspace bounded by a polygonal geofence and a central cylindrical no-fly zone. A runway is defined but not required for the mission, and the UAV must avoid the no-fly cylinder while navigating. Wind is strong at 8.5 m/s from 210 degrees with additional gusts, challenging stability in the enclosed space. The UAV has limited battery capacity with a 30% reserve requirement, and energy consumption is affected by drag and maneuvering. Communication is completely lost throughout the entire mission duration, requiring full autonomy. Sensor limitations and GNSS denial necessitate reliance on inertial and LiDAR-based navigation. The primary constraints include maintaining separation from obstacles, avoiding geofence and altitude violations, and completing the touch-and-go pattern within the time budget.",Increase pitch angle and reduce thrust to minimize drag,Decrease pitch and increase thrust to counteract downdrafts,Maintain level pitch with symmetric thrust for stability,Bank sharply to avoid cylinder using only LiDAR feedback,Hover at reduced throttle to wait out sandstorm gusts,Pitch forward and boost thrust to maintain airspeed uphill,Pitch up abruptly to gain lift before geofence ceiling,"[""Increase pitch angle and reduce thrust to minimize drag"", ""Decrease pitch and increase thrust to counteract downdrafts"", ""Maintain level pitch with symmetric thrust for stability"", ""Bank sharply to avoid cylinder using only LiDAR feedback"", ""Hover at reduced throttle to wait out sandstorm gusts"", ""Pitch forward and boost thrust to maintain airspeed uphill"", ""Pitch up abruptly to gain lift before geofence ceiling""]","The 8.5 m/s headwind from 210° reduces groundspeed but increases airspeed, requiring forward pitch and thrust to maintain controlled approach. Thrust must overcome induced and profile drag in confined space while avoiding flow separation. Option F balances lift, drag, and wind vector for safe touch-and-go within energy and spatial limits." 2025-11-01T18:05:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Underground_Mine_Recon_with_Solar_Wing_UAV_3d05464fb67d_mcq.json,uavbench-mcq-v1,Underground_Mine_Recon_with_Solar_Wing_UAV,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During uplink loss and GNSS jamming, which action maintains control and navigation integrity at 2–45 m AGL with LiDAR and inertial sensors?","Fixed-wing solar UAV conducts area reconnaissance in an underground mine environment. Operations occur within a confined polygonal airspace bounded between 2 and 45 meters AGL. Wind conditions include moderate airflow with directional shear and poor visibility. The UAV relies on battery power and is equipped with LiDAR, RGB camera, and inertial sensors, but lacks GNSS and thermal imaging. GNSS signals are degraded due to multipath and jamming, requiring non-GNSS navigation. Mission includes a grid pattern over five waypoints with a required runway takeoff and landing. A static no-fly zone and a moving obstacle cylinder restrict flight paths. An icing event occurs mid-mission, reducing aerodynamic performance for one minute. Uplink communication is lost during two critical time windows, limiting remote control. Traffic and dynamic obstacles necessitate collision avoidance within tight separation margins.",Switch to pre-programmed grid with encrypted telemetry uplink,Increase camera frame rate for better obstacle detection,Rely solely on last known GNSS position during jamming,Disable LiDAR to conserve battery during icing event,Accept all waypoint commands without authentication,Use unencrypted control link for faster response,Activate open-loop timer-based turn coordination,"[""Switch to pre-programmed grid with encrypted telemetry uplink"", ""Increase camera frame rate for better obstacle detection"", ""Rely solely on last known GNSS position during jamming"", ""Disable LiDAR to conserve battery during icing event"", ""Accept all waypoint commands without authentication"", ""Use unencrypted control link for faster response"", ""Activate open-loop timer-based turn coordination""]","A- maintains encrypted command integrity and leverages sensor redundancy by using inertial and LiDAR data when GNSS is compromised. It ensures availability and control stability during uplink loss by relying on authenticated, pre-loaded mission logic. Other choices either expose the system to spoofing, reduce situational awareness, or weaken cyber-physical resilience." 2025-11-01T18:05:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Aerial_Mapping_with_Swarm_Drones_in_Cold_Weather_aa364c9a6be3_mcq.json,uavbench-mcq-v1,Urban_Canyon_Aerial_Mapping_with_Swarm_Drones_in_Cold_Weather,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"With 12 m/s winds, icing, and GNSS multipath, what ensures reliable urban canyon navigation during 600-second swarm mapping?","This is an urban canyon aerial mapping mission using a swarm of four battery-powered drones equipped with RGB cameras, GNSS, IMU, lidar, and other sensors. The operation takes place in a confined city environment with tall buildings creating challenging navigation conditions. Weather includes strong winds up to 12 m/s, gusts, and icing conditions that impact flight performance. The drones fly between 10 and 120 meters AGL within a defined polygonal geofence, avoiding static and moving no-fly zones. A dynamic no-fly zone moves through the area, requiring real-time path adjustments. GNSS signals suffer from multipath effects and moderate jamming, while electromagnetic interference adds complexity. The swarm must maintain minimum 10-meter separation between drones and avoid other air traffic and moving obstacles. Icing events occur mid-mission, reducing drone efficiency for one minute. Communication experiences brief downlink losses, and the drones must complete their grid mapping pattern within 600 seconds. Emergency landing sites are available at corners of the operational zone if needed.",Prioritize GNSS over IMU during signal multipath,Use lidar-only SLAM in high electromagnetic interference,Fuse IMU with visual odometry during GNSS outages,Rely on magnetic heading with strong urban interference,Increase swarm density despite 10-meter separation rule,Extend flight time beyond 600 seconds if needed,Disable dynamic no-fly zone updates to save power,"[""Prioritize GNSS over IMU during signal multipath"", ""Use lidar-only SLAM in high electromagnetic interference"", ""Fuse IMU with visual odometry during GNSS outages"", ""Rely on magnetic heading with strong urban interference"", ""Increase swarm density despite 10-meter separation rule"", ""Extend flight time beyond 600 seconds if needed"", ""Disable dynamic no-fly zone updates to save power""]","GNSS multipath and jamming in urban canyons degrade position accuracy, requiring resilient fusion. IMU-visual odometry provides high-frequency state estimates during GNSS dropouts, corrected by lidar when available. This adaptive fusion maintains navigation integrity under wind, icing, and signal degradation." 2025-11-01T18:05:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Underground_Mine_VTOL_Touch-and-Go_2ffbb280635b_mcq.json,uavbench-mcq-v1,Underground_Mine_VTOL_Touch-and-Go,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"During transition at 15 m/s airspeed in a 2 m/s crosswind from 135°, which pitch attitude adjustment maintains lift and avoids sideslip?","This is a VTOL touch-and-go mission in an underground mine environment with no GNSS available. The UAV is a tiltrotor VTOL aircraft equipped with IMU, lidar, camera, and barometer for navigation. It operates within a confined 100m x 80m corridor, limited to 25m altitude AGL. A cylindrical no-fly zone blocks the center of the airspace, requiring careful path planning. The mission follows a rectangular corridor pattern requiring a simulated runway touch-and-go maneuver. Wind is light at 2 m/s from 135 degrees, with gusts up to 1.5 m/s and poor visibility. The UAV has limited battery capacity and must manage energy efficiently to complete the 600-second mission. Communication links are unreliable, with two expected uplink/downlink loss windows during flight. Sensor constraints include reliance on lidar and inertial navigation due to absence of GNSS and radar. The aircraft must avoid geofence breaches, maintain separation, and successfully execute transitions between hover and forward flight.",Increase pitch by 3° and apply left rudder,Decrease pitch by 2° and reduce throttle,Hold pitch constant and increase roll left,Increase pitch by 5° without rudder input,Reduce pitch by 4° and add right aileron,Increase collective pitch and maintain heading,Apply right rudder without pitch change,"[""Increase pitch by 3° and apply left rudder"", ""Decrease pitch by 2° and reduce throttle"", ""Hold pitch constant and increase roll left"", ""Increase pitch by 5° without rudder input"", ""Reduce pitch by 4° and add right aileron"", ""Increase collective pitch and maintain heading"", ""Apply right rudder without pitch change""]","At 15 m/s during transition, increasing pitch by 3° enhances lift without exceeding critical angle of attack. Left rudder counters crosswind-induced yaw from 135°, balancing side force and preventing sideslip. Other options either induce stall, misalign thrust vector, or fail to correct aerodynamic asymmetry." 2025-11-01T18:05:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Convertiplane_GNSS_Challenge_ac27ffbff69c_mcq.json,uavbench-mcq-v1,Urban_Canyon_Convertiplane_GNSS_Challenge,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 8 m/s westerly winds and GNSS jamming at -75 dBm, which strategy optimizes energy use during corridor transit?","This is an urban canyon inspection mission using a convertiplane UAV in mountainous terrain. The flight occurs within a 400x500 meter airspace with a no-fly zone cylinder near the center. Strong westerly winds at 8 m/s and gusts up to 4.5 m/s challenge stability. The UAV carries RGB camera payload for visual inspection and relies on GNSS, IMU, barometer, magnetometer, and LiDAR for navigation. Significant GNSS multipath and moderate jamming at -75 dBm degrade positioning accuracy. The mission requires a runway-assisted takeoff and landing, with a preferred return site at the southwest corner. Waypoints form a corridor pattern up to 120 meters AGL, requiring transitions between VTOL and forward flight. A moving spherical obstacle drifts diagonally through the airspace, requiring dynamic avoidance. Air traffic includes one opposing UAV entering from the east boundary. Communication experiences brief downlink outages, and strict DAA thresholds enforce 25-meter separation.",Increase airspeed to minimize crosswind drift time,Descend to 80 m AGL to reduce wind exposure,Switch RGB to low-power mode and reduce frame rate,Extend loiter at each waypoint for position averaging,Use full LiDAR scan rate throughout the corridor,Climb to 140 m AGL for better GNSS signal,Maintain forward flight mode during obstacle avoidance,"[""Increase airspeed to minimize crosswind drift time"", ""Descend to 80 m AGL to reduce wind exposure"", ""Switch RGB to low-power mode and reduce frame rate"", ""Extend loiter at each waypoint for position averaging"", ""Use full LiDAR scan rate throughout the corridor"", ""Climb to 140 m AGL for better GNSS signal"", ""Maintain forward flight mode during obstacle avoidance""]","Reducing RGB power and frame rate conserves energy without sacrificing visual inspection quality, critical under wind-induced power stress. It balances payload demand with endurance, avoiding unnecessary battery drain from sensors like full-rate LiDAR or extended loiter. Other options increase energy use or risk position error, violating power and safety margins." 2025-11-01T18:05:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Disaster_Reconnaissance_with_Hexacopter_725e9dac2e27_mcq.json,uavbench-mcq-v1,Urban_Canyon_Disaster_Reconnaissance_with_Hexacopter,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Given 10-min endurance, 6.5 m/s winds, and a moving obstacle, which strategy maximizes search coverage while ensuring return?","This is a search and rescue mission using a hexacopter in an urban canyon environment. The flight area is a 200m x 150m rectangular zone with a no-fly cylinder around a central hazard. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors for reconnaissance in poor visibility and light rain. Winds are moderate at 6.5 m/s from 240 degrees with gusts up to 4.0 m/s. The UAV must avoid a static no-fly zone and a moving spherical obstacle near the center of the airspace. It operates between 10m and 120m AGL with a time budget of 10 minutes and must return safely within battery reserves. The mission follows a corridor search pattern through four waypoints while maintaining separation from other air traffic. GNSS signals may suffer from multipath due to surrounding buildings. The UAV spawns at (20, 20, 25) and aims to land at the same point unless an emergency arises. Traffic includes another UAV entering from the south boundary at constant speed.",Fly at max altitude to reduce obstacle risk,Reduce LiDAR frame rate to save power,Extend loiter time at each waypoint,Increase speed to cover path faster,Transmit all data in real-time via high-bandwidth,Climb continuously for better GNSS reception,"Use thermal only, skip RGB to conserve energy","[""Fly at max altitude to reduce obstacle risk"", ""Reduce LiDAR frame rate to save power"", ""Extend loiter time at each waypoint"", ""Increase speed to cover path faster"", ""Transmit all data in real-time via high-bandwidth"", ""Climb continuously for better GNSS reception"", ""Use thermal only, skip RGB to conserve energy""]","Reducing LiDAR frame rate cuts power draw without losing critical detection capability, preserving battery for gust compensation and return. Full sensor use with adaptive power management balances search efficacy and endurance. Other options either increase energy use or compromise safety and mission completion." 2025-11-01T18:05:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Aerial_Mapping_with_Low_Visibility_4656587348a0_mcq.json,uavbench-mcq-v1,Urban_Canyon_Aerial_Mapping_with_Low_Visibility,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,F,False,"Given 10-minute limit, 25m mapping altitude, and 30s GNSS jamming, how to optimize energy while ensuring coverage and obstacle avoidance?","A quadrotor UAV performs an aerial mapping mission in an urban canyon environment with poor visibility due to hail and icing conditions. The flight occurs within a confined airspace bounded by a polygonal geofence, with a minimum altitude of 5 meters and a maximum of 60 meters AGL. Strong winds up to 10 m/s are present, shifting direction with altitude, and gusts add turbulence. The UAV is equipped with a camera and LiDAR payload for mapping, relying on GNSS, IMU, and other sensors, but faces GNSS multipath, jamming at -75 dBm, and electromagnetic interference. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves through the space, requiring real-time avoidance. Another UAV and a moving spherical obstacle challenge separation, with a minimum safe distance of 10 meters enforced. The mission includes a grid pattern waypoint route at 25 meters altitude, concluding with a high-altitude hover near the center, all within a 10-minute time limit. The UAV must manage battery reserves carefully, as icing and wind increase power consumption. Two faults are simulated: a 30-second GNSS jamming event and a 45-second icing condition reducing performance.","Fly full grid at 25m, use max sensor power throughout",Descend to 15m during jamming to reduce wind resistance,Skip last 3 waypoints to save power after icing event,"Hover during jamming, then resume original path","Increase speed by 20% to finish early, sensors at full",Reduce LiDAR frequency and cut path diagonally,"Climb to 50m for clearer GNSS, extend mission time","[""Fly full grid at 25m, use max sensor power throughout"", ""Descend to 15m during jamming to reduce wind resistance"", ""Skip last 3 waypoints to save power after icing event"", ""Hover during jamming, then resume original path"", ""Increase speed by 20% to finish early, sensors at full"", ""Reduce LiDAR frequency and cut path diagonally"", ""Climb to 50m for clearer GNSS, extend mission time""]","Reducing LiDAR frequency cuts power use, while a diagonal path shortens flight distance, conserving battery under wind and icing. This balances coverage quality with energy limits and maintains safe separation without exceeding the time cap." 2025-11-01T18:05:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Convoy_Escort_under_Cold_Temperature_Extremes_43b04729e63b_mcq.json,uavbench-mcq-v1,Urban_Canyon_Convoy_Escort_under_Cold_Temperature_Extremes,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"At 180s, icing reduces lift for 60s while tracking convoy at 45m AGL with 10m/s winds; which action maintains mission safety and timing?","This mission involves an urban canyon convoy escort using a battery-powered octocopter equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The operation takes place in a dense city environment with tall buildings creating significant GNSS multipath and electromagnetic interference. Weather includes strong winds up to 10 m/s with gusts, wind shear with altitude, and hazardous icing conditions that temporarily reduce UAV performance. The UAV must maintain visual and sensor tracking of a moving convoy along a predefined corridor while avoiding static and dynamic no-fly zones, including a moving obstacle and a drifting no-fly cylinder. A three-UAV swarm operates in coordinated roles—leader, follower, scout—with minimum 20-meter inter-UAV separation. The flight envelope is constrained between 10 and 120 meters AGL within a defined geofenced polygon, avoiding a central cylindrical restricted zone and an additional dynamic hazard. Cold temperature effects and an icing event at 180 seconds degrade aerodynamic efficiency for one minute, increasing power demand and reducing lift. Communication experiences two brief downlink loss windows, and GNSS signals are degraded due to urban canyon effects and moderate jamming. The UAV must complete the mission within 600 seconds, land at a preferred site if possible, and maintain safe separation from another UAV traffic agent and moving obstacles.",Climb to 110m AGL to reduce wind shear and avoid GNSS multipath,Descend to 15m AGL to minimize icing impact and stabilize cameras,Hold position at 45m AGL until icing clears to maintain sensor lock,Increase speed to 15m/s to reach next waypoint before downlink loss,Deviate 50m east to avoid dynamic no-fly cylinder at 300s,Transition to thermal-only tracking and reduce altitude to 10m,"Adjust pitch forward slightly, increase throttle, and continue escort","[""Climb to 110m AGL to reduce wind shear and avoid GNSS multipath"", ""Descend to 15m AGL to minimize icing impact and stabilize cameras"", ""Hold position at 45m AGL until icing clears to maintain sensor lock"", ""Increase speed to 15m/s to reach next waypoint before downlink loss"", ""Deviate 50m east to avoid dynamic no-fly cylinder at 300s"", ""Transition to thermal-only tracking and reduce altitude to 10m"", ""Adjust pitch forward slightly, increase throttle, and continue escort""]","Option G maintains 45m AGL within the flight envelope, adapts to reduced lift via control input, and continues escort without violating separation or timing. Other options breach AGL limits, penetrate NFZs, or disrupt swarm coordination. Only G balances aerodynamic degradation, sensor tracking, and mission continuity." 2025-11-01T18:05:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Firefighting_Drop_with_Solar_Wing_UAV_2fcf6a1205bf_mcq.json,uavbench-mcq-v1,Urban_Canyon_Firefighting_Drop_with_Solar_Wing_UAV,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"At 110 m AGL, 8 m/s wind from 210°, and 45% battery, which action balances energy, control, and no-fly zones during water drop?","This mission involves a firefighting water drop in an urban canyon environment using a solar-powered fixed-wing UAV with VTOL capability. The UAV operates within a defined polygonal airspace bounded between 10 and 120 meters AGL, navigating through narrow city corridors. Weather conditions include moderate winds at 8 m/s from 210 degrees, gusts up to 4 m/s, poor visibility, and airborne dust that affects sensors. The UAV is equipped with thermal and RGB cameras, LiDAR, and standard navigation sensors, but faces GNSS signal degradation due to multipath effects and electromagnetic interference. A static no-fly zone blocks access to a central high-rise area, while a second dynamic no-fly zone moves slowly through the airspace, requiring real-time avoidance. The UAV must follow a corridor-style waypoint path to deliver its 2 kg payload to targeted fire zones while maintaining separation from traffic and obstacles. Additional challenges include wind shear across altitudes, thermal updrafts near the target area, and brief communication outages. The mission requires runway-assisted takeoff and landing, with preferred and emergency landing sites at opposite corners of the zone. Battery endurance is critical, with a 30% reserve mandated and high power draw during hover and maneuvering in strong winds.",Descend to 15 m AGL to reduce wind exposure,Climb to 125 m AGL for clearer GNSS signal,Hover at 110 m AGL for target confirmation,Advance to next waypoint at 100 m AGL,Divert to emergency landing with 30% reserve,Reduce speed to 12 m/s to save power,Execute immediate vertical climb to avoid dust,"[""Descend to 15 m AGL to reduce wind exposure"", ""Climb to 125 m AGL for clearer GNSS signal"", ""Hover at 110 m AGL for target confirmation"", ""Advance to next waypoint at 100 m AGL"", ""Divert to emergency landing with 30% reserve"", ""Reduce speed to 12 m/s to save power"", ""Execute immediate vertical climb to avoid dust""]","Flying at 100 m AGL stays within the safe altitude band, avoids wind shear and dust near lower layers, and conserves energy while progressing. It maintains separation from dynamic no-fly zones and supports navigation stability despite GNSS degradation. This balances aerodynamic efficiency, mission progress, energy reserve, and safety." 2025-11-01T18:05:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Fog_Recon_with_Swarm_Drones_2dcb773569da_mcq.json,uavbench-mcq-v1,Urban_Canyon_Fog_Recon_with_Swarm_Drones,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"With 600 seconds to complete reconnaissance, GNSS degraded, and a dynamic no-fly zone moving at 240°, 6.5 m/s, what action prioritizes safety and mission integrity?","This is a swarm drone reconnaissance mission in an urban canyon environment. The airspace is constrained between 10 and 80 meters AGL with a defined polygonal geofence. The mission takes place in poor visibility due to fog, with moderate wind at 6.5 m/s from 240 degrees, increasing with altitude. The UAVs are small quadcopters equipped with RGB cameras, LiDAR, and standard navigation sensors, carrying a lightweight payload. GNSS signals are degraded due to multipath effects and electromagnetic interference, with moderate jamming present. A static no-fly zone blocks the central lower airspace, while a dynamic no-fly zone moves slowly through the area. The swarm consists of four drones with role specialization and a minimum separation of 8 meters. They must avoid a moving spherical obstacle and maintain communication despite two brief downlink loss windows. The mission requires completing a fixed-wing-style corridor reconnaissance within 600 seconds, despite rotorcraft limitations. Key challenges include limited sensor visibility, GNSS unreliability, dynamic obstacles, and strict separation and airspace constraints.",Ascend to 80m for clearer signals despite wind shear risk,Fly through static no-fly zone to save 90 seconds,"Maintain 10m altitude to avoid wind, risking LiDAR clutter",Disable geofence limits to adapt to dynamic obstacle movement,"Land immediately due to fog, aborting mission",Adjust formation to 5m separation to evade moving obstacle,"Reroute swarm collectively, preserving 8m separation and airspace rules","[""Ascend to 80m for clearer signals despite wind shear risk"", ""Fly through static no-fly zone to save 90 seconds"", ""Maintain 10m altitude to avoid wind, risking LiDAR clutter"", ""Disable geofence limits to adapt to dynamic obstacle movement"", ""Land immediately due to fog, aborting mission"", ""Adjust formation to 5m separation to evade moving obstacle"", ""Reroute swarm collectively, preserving 8m separation and airspace rules""]","The correct choice avoids violating airspace laws and maintains safe separation while adapting to dynamic obstacles. It prioritizes ethical operation by not endangering urban environments or breaking regulatory constraints. Other options compromise safety, legality, or swarm integrity under uncertain conditions." 2025-11-01T18:05:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_-_Convertiplane_e834a2f9ba48_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_-_Convertiplane,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 25 m AGL with 240° moderate winds and GNSS jamming at -75 dBm, how should the convertiplane manage transition to forward flight?","This mission involves a convertiplane UAV conducting an indoor warehouse inspection in a confined airspace. The UAV operates within a polygonal geofence bounded between 2 and 30 meters AGL, with a no-fly cylinder around the center. The environment features poor visibility and hail, with moderate winds from 240 degrees and gusts adding turbulence. GNSS signals are degraded due to multipath effects and intentional jamming at -75 dBm, compounded by electromagnetic interference. The UAV is equipped with lidar, RGB camera, and standard navigation sensors but lacks radar and thermal imaging. It must follow a corridor inspection pattern between four waypoints while managing transitions between hover and forward flight. A second UAV and a moving spherical obstacle create dynamic traffic, requiring separation maintenance of at least 10 meters. Communication suffers from two downlink outages, and GNSS jamming and icing faults will disrupt navigation during flight. The UAV must complete the mission within 600 seconds, use a runway for takeoff and landing, and avoid geofence or altitude violations. Ending battery level, minimum separation, and outage duration are key performance metrics.",Increase pitch to 15° to accelerate rapidly,Maintain 8° nose-up and gradually increase thrust,Bank 30° into the wind to counteract drift,Descend to 10 m to reduce gust impact,Hold hover until GNSS signal stabilizes,Apply full lateral cyclic to stabilize attitude,Reduce rotor RPM to minimize drag immediately,"[""Increase pitch to 15° to accelerate rapidly"", ""Maintain 8° nose-up and gradually increase thrust"", ""Bank 30° into the wind to counteract drift"", ""Descend to 10 m to reduce gust impact"", ""Hold hover until GNSS signal stabilizes"", ""Apply full lateral cyclic to stabilize attitude"", ""Reduce rotor RPM to minimize drag immediately""]","Gradual thrust increase at 8° nose-up ensures smooth lift-to-drag transition while maintaining angle of attack below stall threshold. This balances aerodynamic efficiency and control authority amid turbulence and sensor degradation. Other options either induce flow separation, increase induced drag, or violate flight envelope constraints." 2025-11-01T18:05:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_-_Amphibious_UAV_in_Fog_1e105b0f0d17_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_-_Amphibious_UAV_in_Fog,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which system ensures navigation during 45s GNSS jamming, fog, and urban canyons while avoiding obstacles and staying within 10–120m AGL?","This scenario involves an inspection mission using an amphibious fixed-wing VTOL UAV in a suburban urban canyon environment. The UAV operates under poor visibility due to fog and faces moderate winds from the southwest with gusts. GNSS signals are degraded by multipath effects and intentional jamming, with a fault injecting severe GNSS jamming for 45 seconds. The UAV is equipped with a full sensor suite including LiDAR, radar, RGB camera, and GNSS/IMU, supporting navigation in challenging conditions. It must follow a corridor inspection pattern across five waypoints while avoiding a cylindrical no-fly zone centered in the area. The flight is constrained by strict altitude limits between 10 and 120 meters AGL and requires use of a designated runway for takeoff and landing. A moving spherical obstacle drifts through the environment, and another UAV is present on a crossing path, requiring separation management. Communication experiences a brief loss window, and the UAV must maintain separation of at least 25 meters with a time-to-closest approach threshold of 15 seconds. The mission emphasizes resilience to GNSS outages, energy management, and safe navigation in confined, obstructed airspace with limited visibility.",Pure GNSS/IMU with no redundancy,Vision-only SLAM in low visibility,LiDAR-aided inertial navigation system,Radar-only guidance with high latency,GPS-dependent autopilot with no fallback,Ultrasonic-only altimeter system,Magnetometer-based heading stabilization,"[""Pure GNSS/IMU with no redundancy"", ""Vision-only SLAM in low visibility"", ""LiDAR-aided inertial navigation system"", ""Radar-only guidance with high latency"", ""GPS-dependent autopilot with no fallback"", ""Ultrasonic-only altimeter system"", ""Magnetometer-based heading stabilization""]","LiDAR provides high-resolution 3D mapping unaffected by fog or GNSS jamming, enabling precise obstacle avoidance and terrain-relative navigation. Fused with IMU, it sustains accuracy during 45s GNSS outages and urban multipath. Other options fail in visibility, redundancy, or environmental adaptability." 2025-11-01T18:05:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_-_Fixed_Wing_9fe91ca42d50_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_-_Fixed_Wing,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"At 14.5 m/s wind and 110 m AGL, UAV encounters GNSS loss: which response maintains stability and obstacle avoidance?","Fixed-wing UAV conducts a corridor survey mission in suburban airspace with urban canyon features. The flight occurs between 30 and 120 meters AGL within a defined polygonal geofence. Operations take place in poor visibility with rain and strong winds up to 14.5 m/s at higher altitudes, increasing turbulence and control challenges. The UAV is equipped with RGB camera payload and relies on GNSS, IMU, magnetometer, and barometer for navigation. Significant GNSS multipath and a planned 45-second GNSS jamming fault introduce navigation degradation risks. A cylindrical no-fly zone near the center of the area must be avoided, along with a moving spherical obstacle drifting eastward. Wind shear across altitude layers affects flight efficiency and trajectory tracking. The mission requires use of a designated runway for landing and includes communication loss windows that impact command uplink integrity. Traffic from another UAV entering the airspace adds separation monitoring demands. DAA systems enforce a 25-meter separation threshold with 15-second time-to-closest-approach alerting.",Increase angle of attack by 3° to boost lift,Descend to 40 m AGL to reduce wind shear effect,Bank 30° left to detour cylindrical no-fly zone,Reduce airspeed to 12 m/s to limit drag surge,Pitch down 5° to escape turbulence-induced stall,Hold heading with increased throttle for control authority,Circle at current altitude using barometric hold,"[""Increase angle of attack by 3° to boost lift"", ""Descend to 40 m AGL to reduce wind shear effect"", ""Bank 30° left to detour cylindrical no-fly zone"", ""Reduce airspeed to 12 m/s to limit drag surge"", ""Pitch down 5° to escape turbulence-induced stall"", ""Hold heading with increased throttle for control authority"", ""Circle at current altitude using barometric hold""]","Increased throttle compensates for reduced control surface effectiveness in strong wind and maintains airspeed for predictable lift and drag. Holding heading avoids uncommanded drift toward obstacles during GNSS degradation. Other options risk stall, increased drift, or altitude violations due to mismanaged aerodynamic forces." 2025-11-01T18:05:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_-_Octocopter_Survey_Mission_36b90fcf472d_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_-_Octocopter_Survey_Mission,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"Plan UAV path with 25m separation from moving obstacle, 12 m/s westbound UAV, and 45s GNSS jamming during 480–510s comms outage.","This is a survey mission conducted by an octocopter in an urban canyon environment. The UAV is equipped with a camera and LiDAR payload for data collection, relying on GNSS, IMU, and other sensors for navigation. Operations take place within a defined airspace bounded by altitude limits (10–120 m AGL) and a polygonal geofence, with a static no-fly zone over a cylinder near the center and a moving no-fly zone drifting southwest. The area experiences strong winds up to 15 m/s with increasing speed and shifting direction at higher altitudes, along with poor visibility and hail. GNSS performance is degraded due to multipath effects, electromagnetic interference, and a planned 45-second jamming event. A second UAV travels westbound at 12 m/s, and a moving spherical obstacle drifts left across the flight path, requiring dynamic separation. The UAV must maintain at least 25 meters separation and avoid traffic conflict thresholds, especially during comms downlink outages between 480–510 seconds. Battery endurance is critical, with a 30% reserve margin and high power draw from wind and maneuvering. The mission must be completed within 600 seconds, starting from a fixed spawn point and aiming for a preferred landing site in the southeast corner. Success depends on fault resilience, sensor degradation management, and precise navigation under challenging environmental and operational constraints.",Ascend to 110 m to avoid obstacle and ensure GNSS signal clarity,Delay mission until after jamming to maintain comms integrity,Rely solely on IMU during jamming; ignore moving UAV proximity,"Adjust speed to synchronize with obstacle drift, minimizing conflict",Fly direct route at 15 m/s to finish before jamming begins,Descend to 15 m AGL to reduce wind impact and power use,Coordinate speed and altitude to maintain 25 m separation and comms-aware timing,"[""Ascend to 110 m to avoid obstacle and ensure GNSS signal clarity"", ""Delay mission until after jamming to maintain comms integrity"", ""Rely solely on IMU during jamming; ignore moving UAV proximity"", ""Adjust speed to synchronize with obstacle drift, minimizing conflict"", ""Fly direct route at 15 m/s to finish before jamming begins"", ""Descend to 15 m AGL to reduce wind impact and power use"", ""Coordinate speed and altitude to maintain 25 m separation and comms-aware timing""]","The correct path must account for dynamic separation from both the moving obstacle and westbound UAV while respecting communication outages and GNSS degradation. Option G ensures inter-agent situational awareness by synchronizing timing and spatial separation, preserving safety margins and mission completion within 600 seconds. Other choices violate altitude limits, separation rules, or fail during comms blackout and jamming periods." 2025-11-01T18:05:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_-_Glider_eff61f42a82e_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_-_Glider,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 110m AGL, 8 m/s wind from 240°, and GNSS jamming at -75 dBm, which action optimizes mapping coverage while ensuring DAA compliance and energy conservation?","This is a mapping mission conducted in a suburban airspace with urban canyon features. The UAV is a fixed-wing glider equipped with a camera payload for aerial imaging. It operates between 10 and 120 meters AGL within a defined rectangular geofence that includes a cylindrical no-fly zone centered at (150, 125) with a 30-meter radius and vertical limits from 10 to 60 meters. Winds are moderate at 8 m/s from 240 degrees, increasing to 10 m/s at higher altitudes, with gusts up to 4 m/s and variable wind direction across altitudes. GNSS signals are degraded due to multipath effects, electromagnetic interference, and a jamming signal at -75 dBm, challenging navigation reliability. The environment includes a thermal updraft near (180, 220) with a 25-meter radius and 1.8 m/s upward velocity, which the glider may exploit. A moving spherical obstacle travels through the airspace at a constant velocity, requiring real-time avoidance. Air traffic includes one intruder UAV approaching from (250, 200, 60) at 12 m/s on a 120-degree heading, necessitating DAA compliance with a 25-meter separation threshold. Communication links experience two brief downlink loss windows, and the mission must conclude within 600 seconds, returning to a designated runway-aligned landing zone.",Descend to 40m to reduce wind exposure and improve GNSS signal,Climb to 120m to maximize camera coverage and glide efficiency,"Turn toward thermal updraft at (180, 220) to gain altitude without power",Fly direct through cylindrical no-fly zone to shorten mapping path,Increase speed to 15 m/s to outrun intruder UAV on 120° heading,Execute immediate spiral dive to landing zone due to link loss,"Maintain 100m AGL, navigate via INS-aided dead reckoning, and detour east","[""Descend to 40m to reduce wind exposure and improve GNSS signal"", ""Climb to 120m to maximize camera coverage and glide efficiency"", ""Turn toward thermal updraft at (180, 220) to gain altitude without power"", ""Fly direct through cylindrical no-fly zone to shorten mapping path"", ""Increase speed to 15 m/s to outrun intruder UAV on 120° heading"", ""Execute immediate spiral dive to landing zone due to link loss"", ""Maintain 100m AGL, navigate via INS-aided dead reckoning, and detour east""]","Maintaining 100m AGL balances wind gust resilience, camera resolution, and separation from the 60m no-fly ceiling. INS-aided navigation compensates for GNSS degradation while the eastern detour avoids both the no-fly zone and intruder conflict. This preserves energy, ensures DAA compliance, and sustains mission timeline within 600 seconds." 2025-11-01T18:05:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_at_Bridge_Site_162cdd259b62_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_at_Bridge_Site,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During 60s GNSS jamming at -75 dBm and 60s comms loss, how should the UAV maintain position integrity and control?","This is an urban bridge inspection mission using a hexacopter UAV equipped with GNSS, IMU, camera, lidar, and other standard sensors. The flight occurs in a confined airspace near a bridge with tall structures creating an urban canyon effect. Weather includes strong 8 m/s winds from 240 degrees, gusts up to 4 m/s, rain, and poor visibility. The UAV carries a 0.5 kg payload and relies on battery power with a 450 Wh capacity and 30% reserve. Significant GNSS challenges are present due to multipath effects, jamming at -75 dBm, and a planned 60-second GNSS jamming fault. The airspace includes a static no-fly zone over the bridge center and a moving no-fly zone shifting southwest at 1.8 m/s. A dynamic moving obstacle travels horizontally at 2 m/s, requiring real-time avoidance. Another UAV enters the airspace from the east at 12 m/s, demanding separation assurance. The mission follows a corridor pattern with five waypoints and must complete within 600 seconds. Communication experiences a 60-second downlink loss window, and flight control is via discrete actions with collision avoidance thresholds.",Continue waypoint tracking using GNSS with error correction,Switch to IMU-lidar fusion with encrypted sensor data links,Rely solely on unencrypted camera-based visual odometry,Halt propulsion until GNSS signal recovers fully,Use open telemetry to request ground station position updates,Activate unauthenticated auxiliary GPS receiver for redundancy,Descend immediately to preclude collision during navigation loss,"[""Continue waypoint tracking using GNSS with error correction"", ""Switch to IMU-lidar fusion with encrypted sensor data links"", ""Rely solely on unencrypted camera-based visual odometry"", ""Halt propulsion until GNSS signal recovers fully"", ""Use open telemetry to request ground station position updates"", ""Activate unauthenticated auxiliary GPS receiver for redundancy"", ""Descend immediately to preclude collision during navigation loss""]","IMU-lidar fusion provides resilient positioning during GNSS denial, while encrypted links ensure data integrity under jamming and spoofing threats. This maintains control stability and mission continuity without exposing the system to injection or spoofing attacks. Other options either lack redundancy, introduce untrusted data paths, or compromise safety." 2025-11-01T18:05:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_at_Harbor_e149d50e6a40_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_at_Harbor,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"At 500 m AGL, 12 m/s wind from 270°, and GNSS dropouts between 180–240 s, which navigation strategy maintains integrity in urban canyon conditions with rain?","This is a fixed-wing high-altitude pseudo-satellite UAV conducting a mapping mission over a harbor environment. The aircraft operates between 100 and 600 meters AGL within a defined polygonal airspace boundary. It flies a grid pattern across five waypoints to capture visual data using an RGB camera and radar. The harbor location features urban canyon effects, leading to significant GNSS multipath and occasional GNSS jamming. Poor visibility due to rain further complicates navigation, and electromagnetic interference challenges sensor reliability. A static no-fly zone and a moving restricted zone require real-time avoidance. The UAV must also maintain separation from another intruder UAV and a moving spherical obstacle. Wind increases with altitude, shifting from 240° at 8 m/s near the surface to 270° at 16 m/s aloft. Battery endurance is limited, with high hover power consumption affecting reserve margins. GNSS faults and communication dropouts between 180 and 240 seconds add operational risk.",Prioritize GNSS with IMU smoothing during jamming,Switch to pure visual-inertial odometry at 180 s,Use radar-altimeter-only hold during multipath events,Fuse radar and optical flow with delayed GNSS updates,Rely on magnetometer heading during signal loss,Descend to 100 m to reduce wind and improve GNSS,Maintain course using pre-dropout IMU integration,"[""Prioritize GNSS with IMU smoothing during jamming"", ""Switch to pure visual-inertial odometry at 180 s"", ""Use radar-altimeter-only hold during multipath events"", ""Fuse radar and optical flow with delayed GNSS updates"", ""Rely on magnetometer heading during signal loss"", ""Descend to 100 m to reduce wind and improve GNSS"", ""Maintain course using pre-dropout IMU integration""]","Radar and optical flow provide terrain-relative updates unaffected by GNSS multipath or jamming, while delayed GNSS integration avoids corrupted data. This fusion maintains position accuracy during dropouts in poor visibility. Descending (F) increases hover power use and reduces coverage efficiency, while other options ignore sensor degradation or drift accumulation." 2025-11-01T18:05:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_fd56a7a3564e_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"With 7.5 m/s winds, icing, and GNSS jamming at -85 dBm, what action prioritizes safety amid urban canyons and dynamic no-fly zones?","This scenario involves an inspection mission in a dense urban environment with tall buildings creating urban canyons. The octocopter UAV is equipped with a standard sensor suite including GNSS, IMU, lidar, and RGB camera, carrying a 1.2 kg payload. Weather conditions are severe, featuring 7.5 m/s winds from 240 degrees, gusts up to 4.0 m/s, poor visibility, hail, and icing conditions. GNSS signals experience significant multipath interference and jamming at -85 dBm, with an added electromagnetic interference factor. A static no-fly zone is present at the center of the airspace, and a dynamic no-fly zone moves through the area, requiring real-time avoidance. The UAV must navigate between three waypoints in a corridor pattern while maintaining separation from other air traffic and moving obstacles. A second UAV enters the airspace at high speed, and a spherical obstacle moves horizontally through the flight path. Communication downlink is unreliable, with two scheduled loss windows, and the UAV faces two fault events: a GNSS jamming event and an icing event that impacts performance. Flight altitude is constrained between 10 m and 120 m AGL, with a time budget of 600 seconds and strict separation thresholds for collision avoidance.",Continue to next waypoint using lidar and IMU only,Ascend to 120 m AGL to escape urban canyon effects,Divert flight path to avoid dynamic no-fly zone,Land immediately in nearest open urban area,Maintain course; rely on GNSS despite jamming,Fly through static no-fly zone to save 45 seconds,Transmit emergency abort and hover at current position,"[""Continue to next waypoint using lidar and IMU only"", ""Ascend to 120 m AGL to escape urban canyon effects"", ""Divert flight path to avoid dynamic no-fly zone"", ""Land immediately in nearest open urban area"", ""Maintain course; rely on GNSS despite jamming"", ""Fly through static no-fly zone to save 45 seconds"", ""Transmit emergency abort and hover at current position""]","The dynamic no-fly zone requires real-time avoidance to comply with airspace laws and prevent collision. Continuing the mission while actively rerouting maintains safety and legal compliance. Other options either ignore hazards or violate operational constraints, increasing risk to people or infrastructure." 2025-11-01T18:05:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_for_High-Altitude_Pseudo-Satellite_93d2c82cd785_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_for_High-Altitude_Pseudo-Satellite,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,Which system ensures navigation during GNSS jamming at -85 dBm and 15.5 m/s winds while surveying four waypoints in 10 minutes?,"This is a high-altitude pseudo-satellite UAV conducting an urban survey mission in a dense city environment. The aircraft operates between 100 and 400 meters AGL within a defined geofenced airspace. It faces challenging weather including strong winds up to 15.5 m/s, wind shear with altitude, poor visibility, and hail. The UAV is equipped with radar, RGB camera, and standard navigation sensors but lacks lidar and thermal imaging. Significant GNSS challenges are present due to urban canyon multipath effects and intentional jamming at -85 dBm. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves through the airspace, requiring real-time avoidance. A second UAV and a moving spherical obstacle create traffic separation demands with a 25-meter minimum distance threshold. The mission includes a planned GNSS jamming fault and an IMU bias fault to test resilience. Communication experiences a brief 10-second downlink loss during flight. The UAV must complete a grid survey of four waypoints within 10 minutes while managing energy and avoiding all hazards.",Pure GNSS with no backup; low cost and simple integration,IMU-only dead reckoning; minimal power and weight,Vision-aided SLAM using RGB; high accuracy in clear weather,Radar-IMU sensor fusion; works in poor visibility and jamming,Lidar-based navigation; precise but heavy and weather-limited,Ground-based transponder tracking; reliable beyond line-of-sight,Wi-Fi RTK augmentation; enhances GNSS in urban canyons,"[""Pure GNSS with no backup; low cost and simple integration"", ""IMU-only dead reckoning; minimal power and weight"", ""Vision-aided SLAM using RGB; high accuracy in clear weather"", ""Radar-IMU sensor fusion; works in poor visibility and jamming"", ""Lidar-based navigation; precise but heavy and weather-limited"", ""Ground-based transponder tracking; reliable beyond line-of-sight"", ""Wi-Fi RTK augmentation; enhances GNSS in urban canyons""]","Radar-IMU fusion provides robustness against GNSS jamming and urban multipath, while operating effectively in poor visibility and high winds. It avoids lidar's weather sensitivity and vision's reliance on lighting, ensuring continuity during the 10-second downlink loss and IMU bias fault. This solution maintains positioning accuracy and energy efficiency within the mission’s environmental and temporal constraints." 2025-11-01T18:05:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_at_Bridge_Site_with_Dust_3fdab9b19e64_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_at_Bridge_Site_with_Dust,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,"With GNSS jamming at -75 dBm and 45s fault, 8 m/s winds, and intruder UAV on path, what action prioritizes safety during transition phase?","This mission involves an inspection task in an urban canyon environment near a bridge site with significant GNSS challenges. The airspace is constrained by static and moving no-fly zones, including a cylindrical exclusion zone near the center and a dynamically shifting zone traveling at 2 m/s. Winds are strong at 8 m/s from 240 degrees with gusts up to 4 m/s, and visibility is poor due to dust in the air. The UAV is an amphibious rotorcraft with fixed-wing features, equipped with RGB camera, LiDAR, and full navigation sensors including GNSS, IMU, and barometer. It operates under severe GNSS multipath effects, electromagnetic interference, and experiences intentional jamming at -75 dBm with a fault event lasting 45 seconds. The flight envelope is limited between 10 and 120 meters AGL within a defined polygon geofence, requiring separation of at least 25 meters from traffic. A single intruder UAV moves through the airspace on a fixed trajectory, requiring detect-and-avoid compliance. The mission requires corridor-style waypoint navigation with a time budget of 10 minutes, including VTOL-to-forward-flight transition phases. Downlink communications are unreliable with two scheduled loss windows, demanding autonomous operation and robust fault handling.",Continue as planned using GPS despite jamming,Descend to 5m AGL to avoid intruder UAV,Abort mission and land immediately in river,Eject payload to reduce weight and climb,Switch to LiDAR/IMU and hold position autonomously,Fly around geofence edge to regain GPS lock,Accelerate to exit canyon before fault ends,"[""Continue as planned using GPS despite jamming"", ""Descend to 5m AGL to avoid intruder UAV"", ""Abort mission and land immediately in river"", ""Eject payload to reduce weight and climb"", ""Switch to LiDAR/IMU and hold position autonomously"", ""Fly around geofence edge to regain GPS lock"", ""Accelerate to exit canyon before fault ends""]",Continuing under jammed GNSS risks loss of control in a constrained urban canyon. Switching to LiDAR/IMU maintains navigation integrity without exposing civilians to uncontrolled flight. Holding position minimizes collision risk with the intruder and avoids violating airspace or endangering people below. 2025-11-01T18:05:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_in_Jungle_Airspace_a17f3439b9bd_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_in_Jungle_Airspace,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"During GNSS jamming at 1500m AGL, with a moving no-fly cylinder and 50m DAA separation, how should the UAV respond?","This is a high-altitude mapping mission in dense jungle airspace with poor visibility and icing conditions. The UAV is a high-altitude pseudo-satellite powered by battery, equipped with radar, camera, and full navigation sensors except lidar. It operates in strong, altitude-varying winds with gusts and faces GNSS multipath, jamming, and electromagnetic interference. The mission involves a grid pattern over urban canyon-like terrain with strict altitude limits between 100m and 2500m AGL. A static no-fly zone and a moving no-fly cylinder must be avoided, along with a dynamic obstacle traveling westward. The UAV must maintain separation from other traffic and adhere to DAA thresholds of 50m and 30s time-to-collision. GNSS jamming and icing faults occur mid-mission, degrading performance for 60 and 120 seconds respectively. Communication dropouts are expected at two intervals, requiring robust autonomy. The UAV transitions between VTOL and fixed-wing flight and must return to a designated runway. Thermal updrafts offer potential lift but must be navigated carefully within the constrained airspace.",Descend immediately to 100m to avoid jamming effects,Hold position using radar and inter-agent relative navigation,Climb above 2500m to escape interference and icing,Turn west to follow dynamic obstacle for energy savings,Broadcast intent to hover and await GNSS recovery,Rely solely on camera to track urban canyon features,Accelerate east maintaining grid pattern with reduced update rate,"[""Descend immediately to 100m to avoid jamming effects"", ""Hold position using radar and inter-agent relative navigation"", ""Climb above 2500m to escape interference and icing"", ""Turn west to follow dynamic obstacle for energy savings"", ""Broadcast intent to hover and await GNSS recovery"", ""Rely solely on camera to track urban canyon features"", ""Accelerate east maintaining grid pattern with reduced update rate""]","Radar and relative navigation sustain positioning during GNSS outage while preserving 50m DAA margins. B maintains situational awareness and coordination with other agents via sensor fusion. Other options violate altitude limits, increase collision risk, or assume unreliable external signals." 2025-11-01T18:05:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_for_High_Altitude_Pseudo_Satellite_1e0ec83d9cce_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_for_High_Altitude_Pseudo_Satellite,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Which path safely navigates from (100,100,300) to (700,500,500) avoiding the NFZ and GNSS jamming at 200s?","This scenario involves a high-altitude pseudo-satellite UAV conducting a mapping mission near an airport perimeter. The UAV operates between 100 and 600 meters AGL within a defined rectangular airspace that includes a cylindrical no-fly zone centered at (400, 300) with a 50-meter radius and vertical limits from 100 to 400 meters. The mission requires the UAV to follow a grid pattern across five waypoints while adhering to a 600-second time budget and completing a runway-aligned approach for landing. Winds increase with altitude, reaching 20 m/s at 500 meters, with a microburst risk and significant wind shear present. GNSS signals are degraded by multipath effects and intentional jamming at -75 dBm, with a simulated GNSS jamming fault occurring between 200 and 245 seconds. The UAV is equipped with radar, RGB camera, and standard navigation sensors but faces electromagnetic interference and periodic communication outages. It must maintain separation of at least 50 meters and avoid collisions with static and moving obstacles, including another UAV entering the airspace. Battery endurance is critical, with a reserve fraction of 30% and high hover power consumption impacting energy management. The UAV spawns at (100, 100, 300) and must handle an IMU bias fault at 400 seconds while navigating under continuous control inputs. Success metrics include mission completion, battery level, GNSS outage duration, and adherence to separation and altitude constraints.",Direct diagonal climb; max speed,"Fly east at 300m, then north",Ascend after clearing NFZ eastward,Shortcut through NFZ at 350m,Climb to 500m before turning east,"Delay climb until past (450,300)","Circle NFZ at 250m, then proceed","[""Direct diagonal climb; max speed"", ""Fly east at 300m, then north"", ""Ascend after clearing NFZ eastward"", ""Shortcut through NFZ at 350m"", ""Climb to 500m before turning east"", ""Delay climb until past (450,300)"", ""Circle NFZ at 250m, then proceed""]","Ascending after moving east avoids the NFZ's 50m radius and vertical 100–400m exclusion. It delays climb to 500m, reducing exposure to wind shear and jamming during critical GNSS fault. This balances time, energy, and separation while maintaining safe lateral and vertical margins." 2025-11-01T18:05:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_for_High-Altitude_Pseudo-Satellite_95d56f474d9a_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_for_High-Altitude_Pseudo-Satellite,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 3000 m AGL with 18 m/s winds and -75 dBm GNSS jamming, which action ensures position integrity and control stability during corridor mapping?","Mission type is high-altitude mapping in a rural area with structured corridor waypoints. The UAV operates between 1500 m and 3000 m AGL within a defined polygonal airspace. Weather includes moderate winds increasing with altitude, up to 18 m/s from the west at 3000 m. A high-altitude pseudo-satellite UAV with fixed-wing aerodynamics and battery power is used. Payload includes RGB camera and radar, with GNSS, IMU, and barometer for navigation. GNSS signals are degraded due to multipath and -75 dBm jamming, challenging position accuracy. A cylindrical no-fly zone blocks part of the airspace near the central waypoint. The UAV must maintain separation from another traffic UAV and a moving spherical obstacle. Communication experiences brief uplink/downlink outages at specific mission times. Mission requires runway landing and must complete within 900 seconds with safety constraints.",Switch to IMU and barometer-only navigation with encrypted uplink,Increase GNSS reliance to counteract drift from wind disturbances,Transmit unencrypted telemetry to reduce communication latency,Disable radar altimeter to prioritize RGB payload power usage,Accept all waypoint updates without command authentication,Use open-loop control to bypass jammed GNSS signal processing,Descend to 1500 m to avoid wind and improve GNSS signal quality,"[""Switch to IMU and barometer-only navigation with encrypted uplink"", ""Increase GNSS reliance to counteract drift from wind disturbances"", ""Transmit unencrypted telemetry to reduce communication latency"", ""Disable radar altimeter to prioritize RGB payload power usage"", ""Accept all waypoint updates without command authentication"", ""Use open-loop control to bypass jammed GNSS signal processing"", ""Descend to 1500 m to avoid wind and improve GNSS signal quality""]","A maintains position integrity by fusing trusted inertial and pressure data when GNSS is compromised, while encrypted uplink ensures command confidentiality and prevents spoofing. It preserves control stability under wind disturbance without exposing the system to spoofing or unauthenticated attacks. Other choices either exacerbate jamming effects or introduce cyber vulnerabilities." 2025-11-01T18:05:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Amphibious_UAV_23b63b85eddc_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Amphibious_UAV,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"At 315s, with 8.5 m/s winds from 240°, how should the UAV adjust to maintain formation and avoid GNSS jamming at 320s?","This mission involves an inspection task using an amphibious UAV equipped with GNSS, IMU, camera, LiDAR, and other sensors. The operation takes place near an airport perimeter in urban canyon-like conditions, featuring tall structures and complex airflow. Weather includes strong 8.5 m/s winds from 240 degrees with frequent gusts up to 4.2 m/s, reducing flight stability. The UAV is a hybrid rotorcraft with fixed-wing aerodynamics, designed for both aerial and water operations, carrying a 0.8 kg payload. GNSS signals are degraded due to multipath effects and electromagnetic interference, with a planned jamming fault occurring at 320 seconds into the mission. The flight is confined between 10 and 120 meters AGL within a polygonal geofence, avoiding a central cylindrical no-fly zone near the runway. The UAV must follow a corridor pattern through four waypoints while maintaining separation from a moving obstacle and another UAV on a crossing path. Communication experiences brief downlink outages, and the aircraft must return to land on a designated runway, requiring precise transition from forward flight to VTOL. Battery endurance is critical, with a 30% reserve required and high energy consumption due to wind and manoeuvring. Mission success depends on avoiding NFZ breaches, maintaining separation, completing waypoints, and landing safely within the time budget.",Ascend to 120m for better signal clarity and visibility,Proceed to next waypoint at maximum forward speed,Initiate loiter pattern at reduced power to conserve battery,Synchronize position update with other UAV via cross-range link,Descend to 10m AGL to minimize wind gust impact,Switch to IMU-only navigation and halt waypoint progression,Accelerate through jamming zone to maintain schedule,"[""Ascend to 120m for better signal clarity and visibility"", ""Proceed to next waypoint at maximum forward speed"", ""Initiate loiter pattern at reduced power to conserve battery"", ""Synchronize position update with other UAV via cross-range link"", ""Descend to 10m AGL to minimize wind gust impact"", ""Switch to IMU-only navigation and halt waypoint progression"", ""Accelerate through jamming zone to maintain schedule""]","D ensures inter-agent situational awareness and compensates for impending GNSS loss by leveraging cooperative positioning. It maintains mission timing and formation integrity without increasing collision risk. Other options either increase exposure to instability, violate energy reserve needs, or disrupt coordination during critical transition phases." 2025-11-01T18:05:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Amphibious_UAV_2ecf470e18dc_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Amphibious_UAV,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"At 13.5 m/s wind with GNSS jamming and IMU bias, which navigation strategy maintains corridor accuracy within 600 seconds?","This is an urban inspection mission using an amphibious fixed-wing VTOL UAV equipped with GNSS, IMU, lidar, and RGB camera. The flight occurs near an airport perimeter with good visibility but strong winds up to 13.5 m/s and a risk of microbursts. Wind speed and direction increase with altitude, creating challenging flight dynamics. The UAV must navigate a corridor of waypoints while avoiding static and moving obstacles, including a dynamic no-fly zone. Significant GNSS multipath and electromagnetic interference are present, with a planned GNSS jamming fault and IMU bias fault during flight. The airspace includes a geofenced operation zone, a stationary no-fly cylinder, and proximity to an active runway requiring coordination. A second UAV enters the airspace on an intersecting path, requiring separation maintenance. The UAV must complete the mission within 600 seconds while managing battery reserves and transitioning between flight modes. Key constraints include maintaining line-of-sight with communications, avoiding geofence breaches, and ensuring minimum separation from traffic and obstacles.",Rely solely on GNSS with EKF for fault tolerance,Switch to IMU-lidar fusion using terrain matching,Use only compass heading and airspeed feedback,Increase reliance on RGB optical flow in urban canyon,Disable lidar to reduce processing lag in wind shear,Trust IMU integration despite growing attitude drift,Fall back to last known GPS fix with dead reckoning,"[""Rely solely on GNSS with EKF for fault tolerance"", ""Switch to IMU-lidar fusion using terrain matching"", ""Use only compass heading and airspeed feedback"", ""Increase reliance on RGB optical flow in urban canyon"", ""Disable lidar to reduce processing lag in wind shear"", ""Trust IMU integration despite growing attitude drift"", ""Fall back to last known GPS fix with dead reckoning""]","IMU-lidar fusion compensates for GNSS denial and IMU bias by leveraging terrain-referenced positioning, reducing drift. Lidar provides high-resolution obstacle data unaffected by electromagnetic interference. This fusion maintains accuracy despite wind-induced dynamics and urban multipath." 2025-11-01T18:05:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_in_Jungle_with_Hail_74e3bf7ac3af_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_in_Jungle_with_Hail,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,E,False,"With 8.5 m/s winds from 240°, 0.8 kg payload, and hail, what must the hexacopter prioritize to maintain lift and stability within 10–150 m AGL?","This is an urban canyon inspection mission in a dense jungle environment with heavy hail and poor visibility. The hexacopter UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors, carrying a 0.8 kg payload. It operates within a confined airspace bounded by a polygonal geofence, with a vertical altitude range from 10 to 150 meters AGL. A static no-fly zone blocks part of the route, while a second dynamic no-fly zone moves through the area, requiring real-time avoidance. The mission is further complicated by strong 8.5 m/s winds from 240 degrees, gusting up to 4.2 m/s, and electromagnetic interference. GNSS performance is degraded by multipath effects and jamming at -75 dBm, with a simulated jamming fault occurring mid-mission. The UAV must navigate around a moving spherical obstacle and maintain separation from another UAV on a crossing path. Battery endurance is critical, with a reserve fraction of 30% and limited energy due to high wind and hail conditions. Communication experiences brief downlink outages, and the UAV must handle multiple system faults including GNSS denial, IMU bias, and partial motor failure. Despite these challenges, the mission must complete within 600 seconds while adhering to strict separation and safety thresholds.",Increase angle of attack to 15° to boost lift,Reduce airspeed to minimize drag in gusts,Descend to 8 m AGL to avoid wind shear,Pitch up sharply when hail density increases,Maintain higher thrust-to-weight ratio for gust rejection,Fly downwind at max speed to save energy,Shut down two motors to reduce power load,"[""Increase angle of attack to 15° to boost lift"", ""Reduce airspeed to minimize drag in gusts"", ""Descend to 8 m AGL to avoid wind shear"", ""Pitch up sharply when hail density increases"", ""Maintain higher thrust-to-weight ratio for gust rejection"", ""Fly downwind at max speed to save energy"", ""Shut down two motors to reduce power load""]",Higher thrust-to-weight ratio counters gust-induced momentum disturbances and maintains control authority. It ensures sufficient net thrust to sustain forward airspeed and lift under unsteady wind and hail drag. Other options either exceed aerodynamic limits or reduce stability. 2025-11-01T18:05:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Amphibious_UAV_in_Dusty_Warehouse_9190db36ec4b_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Amphibious_UAV_in_Dusty_Warehouse,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"Given 3.5 m/s gusts, 45-second GNSS loss, and drifting obstacle, which strategy ensures safe, stable flight below 25 m while reaching the runway?","The mission is an indoor warehouse inspection using an amphibious UAV equipped with RGB camera and LiDAR payload. Flight occurs in a confined polygonal airspace with a maximum altitude of 25 meters AGL and a minimum safe height of 0.5 meters. Weather includes poor visibility due to dust and moderate wind from the southeast, with gusts up to 3.5 m/s. The UAV is a battery-powered hexacopter with fixed-wing hybrid aerodynamics, optimized for maneuverability in tight spaces. Significant GNSS challenges exist due to multipath effects, jamming at -75 dBm, and a planned 45-second GNSS jamming fault. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves diagonally across the warehouse. An additional moving spherical obstacle drifts slowly through the environment, requiring real-time avoidance. Separation from other traffic must be maintained above 5 meters, with a time-to-contact threshold of 8 seconds. The UAV must complete a corridor-style waypoint mission within 600 seconds and land at the preferred site near the runway. Downlink communication is intermittently lost, and an IMU bias fault occurs mid-mission, increasing navigation risk.",A- Climb to 24 m for clear LiDAR scans and wind stability,B- Descend to 0.6 m AGL to avoid dynamic no-fly zone,C- Reduce speed to 1.2 m/s for obstacle reaction and IMU fault tolerance,D- Hold position at 15 m until GNSS signal recovers fully,confluent- Navigate diagonal at 3 m/s to bypass moving obstacle fast,"E- Follow corridor at 2 m/s, 10 m altitude, using LiDAR-only localization",F- Increase thrust to 90% to counteract wind and maintain timing,"[""A- Climb to 24 m for clear LiDAR scans and wind stability"", ""B- Descend to 0.6 m AGL to avoid dynamic no-fly zone"", ""C- Reduce speed to 1.2 m/s for obstacle reaction and IMU fault tolerance"", ""D- Hold position at 15 m until GNSS signal recovers fully"", ""confluent- Navigate diagonal at 3 m/s to bypass moving obstacle fast"", ""E- Follow corridor at 2 m/s, 10 m altitude, using LiDAR-only localization"", ""F- Increase thrust to 90% to counteract wind and maintain timing""]","Flying at 10 m balances obstacle clearance, energy efficiency, and sensor performance. Using LiDAR-only localization maintains navigation during GNSS jamming and IMU bias, while 2 m/s ensures time-to-contact >8 s. This choice satisfies aerodynamic stability, navigation continuity, energy conservation, and safety within confined airspace." 2025-11-01T18:05:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_in_Jungle_with_Icing_Conditions_bcb860749557_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_in_Jungle_with_Icing_Conditions,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 580 seconds, UAV faces GNSS jamming, 15% battery, and a moving obstacle 300m from the runway. What is the correct action?","Fixed-wing UAV conducts an inspection mission in a jungle environment featuring dense canopy and urban canyon-like structures. The airspace includes a defined polygonal geofence with a cylindrical no-fly zone in the center and a designated runway for takeoff and landing. Weather conditions include poor visibility, moderate winds increasing with altitude, and icing conditions that impact flight performance. The UAV is equipped with GNSS, IMU, lidar, camera, and other sensors but faces challenges from GNSS multipath, jamming, and electromagnetic interference. A moving spherical obstacle traverses the area, and another UAV operates nearby, requiring separation monitoring. The mission must be completed within 600 seconds, following a corridor pattern through five waypoints while avoiding terrain and obstacles. The UAV experiences simulated icing and GNSS jamming faults during flight, affecting control and navigation. Battery capacity limits endurance, and safe margins are required for reserve power. Launch occurs from a designated point with a preferred landing site and an emergency alternative available.",Continue to complete the mission at all costs,Land immediately at the nearest jungle clearing,"Divert to emergency landing site, prioritizing safe recovery",Fly through the no-fly zone to shorten return path,Ignore icing effects and maintain current altitude,Rely solely on camera for navigation despite poor visibility,Transmit data and ditch UAV in dense canopy,"[""Continue to complete the mission at all costs"", ""Land immediately at the nearest jungle clearing"", ""Divert to emergency landing site, prioritizing safe recovery"", ""Fly through the no-fly zone to shorten return path"", ""Ignore icing effects and maintain current altitude"", ""Rely solely on camera for navigation despite poor visibility"", ""Transmit data and ditch UAV in dense canopy""]","Safety requires aborting the mission to ensure controlled landing before battery or control failure. Continuing risks uncontrolled crash near obstacles or populated areas. C respects airspace rules, preserves human safety, and follows emergency hierarchy by prioritizing UAV recovery at the designated alternate site." 2025-11-01T18:05:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Convertiplane_01f4b7643964_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Convertiplane,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"A convertiplane UAV must inspect 4 waypoints in 10 minutes under crosswinds, GNSS jamming, and maintain 25 m separation from an approaching UAV.","This scenario involves an inspection mission using a convertiplane UAV in an urban canyon environment. The airspace is constrained by tall buildings, creating a challenging navigation corridor with a defined geofence and a no-fly zone over a cylinder near the center. Weather includes strong crosswinds from the west, increasing with altitude, and gusty conditions that affect stability. The UAV is equipped with GNSS, IMU, lidar, camera, and other standard sensors but faces GNSS multipath, electromagnetic interference, and a planned GNSS jamming fault. A secondary UAV approaches from outside the airspace, requiring separation assurance to maintain at least 25 meters and a time-to-collision threshold of 15 seconds. The mission requires transitioning between hover and forward flight, following a corridor pattern through four waypoints within a 10-minute time limit. The UAV must use a runway for takeoff and landing, with preferred and emergency landing sites at opposite corners. Battery capacity is limited, with a reserve fraction of 30%, and energy use is affected by wind and maneuvering. Communication experiences brief downlink losses, and fault conditions include GNSS jamming and IMU bias, testing resilience and navigation robustness.",Proceed directly to last waypoint to save energy,Climb to avoid jamming; reduce speed in crosswind,Delay takeoff until secondary UAV clears no-fly zone,Switch to lidar-only navigation at midpoint of corridor,Share sensor data with secondary UAV every 20 seconds,Descend early into preferred landing site before time limit,Maintain formation altitude while alternating waypoint sequence,"[""Proceed directly to last waypoint to save energy"", ""Climb to avoid jamming; reduce speed in crosswind"", ""Delay takeoff until secondary UAV clears no-fly zone"", ""Switch to lidar-only navigation at midpoint of corridor"", ""Share sensor data with secondary UAV every 20 seconds"", ""Descend early into preferred landing site before time limit"", ""Maintain formation altitude while alternating waypoint sequence""]",Sharing sensor data every 20 seconds ensures inter-agent situational awareness within communication windows despite downlink losses. It enables coordinated separation assurance under GNSS faults using lidar/IMU cross-verification. This sustains mission timing and energy constraints while avoiding collision in dynamic urban airflow. 2025-11-01T18:05:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Convertiplane_4f1b2b2cc3b9_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Convertiplane,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,Which path adjusts for a moving obstacle at 135° wind while staying 25m clear and within 10–120m AGL?,"This is an urban inspection mission using a convertiplane UAV in a dense city canyon environment. The aircraft operates within a defined airspace bounded by a polygon geofence, with altitude limits between 10 and 120 meters AGL. Weather includes a 6 m/s wind from 135 degrees with moderate gusts, but good visibility and no precipitation. The convertiplane has a hybrid VTOL-fixed-wing design, equipped with GNSS, IMU, lidar, and RGB camera for navigation and inspection tasks. A no-fly zone cylinder blocks part of the airspace near the center, requiring careful path planning. The mission involves visiting four waypoints in a corridor pattern, ending with a runway landing, within a 600-second time limit. GNSS multipath and electromagnetic interference degrade positioning accuracy, and a planned GNSS jamming fault occurs mid-mission. A moving spherical obstacle drifts westward through the environment, and another UAV crosses nearby, requiring separation assurance. The UAV must maintain at least 25 meters separation with a 15-second time-to-collision threshold. Communication dropouts occur briefly at 150 and 300 seconds, adding complexity to command and control.","Climb to 110m, direct route through NFZ edge","Descend to 20m, fly clockwise around obstacle",Hold position at WP2 for 45 seconds to wait,"Reroute east, maintain 80m AGL, 30m lateral buffer",Cut inside NFZ by 10m to save 20s transit time,"Descend to 5m AGL to avoid collision, slow speed","Continue current path, rely on ATC for separation","[""Climb to 110m, direct route through NFZ edge"", ""Descend to 20m, fly clockwise around obstacle"", ""Hold position at WP2 for 45 seconds to wait"", ""Reroute east, maintain 80m AGL, 30m lateral buffer"", ""Cut inside NFZ by 10m to save 20s transit time"", ""Descend to 5m AGL to avoid collision, slow speed"", ""Continue current path, rely on ATC for separation""]","Option D maintains safe lateral separation and optimal altitude band while avoiding the NFZ and adjusting for wind drift. It balances energy use and time-to-go, using sensor data to re-route efficiently. Other options violate NFZ, AGL limits, separation minima, or increase exposure to GNSS fault risks." 2025-11-01T18:05:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Glider_in_Wind_Farm_46b5a70b3123_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Glider_in_Wind_Farm,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 13 m/s winds, 10–120 m AGL limits, and 10-minute mission, how should the glider prioritize energy and routing?","This scenario involves a fixed-wing glider conducting a survey mission in a wind farm environment. The airspace is constrained between 10 and 120 meters AGL within a defined polygonal boundary. Strong winds up to 13 m/s increase with altitude and shift direction, creating challenging flight conditions. The glider is equipped with GNSS, IMU, lidar, camera, and other standard sensors but faces GNSS multipath and moderate jamming at -75 dBm. A static no-fly zone and a moving no-fly zone require dynamic path planning. The mission includes five waypoints flown in a corridor pattern with a 10-minute time limit. Traffic includes another UAV flying through the airspace, requiring separation monitoring. A moving spherical obstacle and thermal updrafts add complexity to navigation. Communication experiences brief downlink losses during two short windows. The glider must manage energy carefully due to wind and battery constraints while avoiding stalls and maintaining mission success.",Climb rapidly to 120 m for better wind and GNSS signal,Fly direct at 10 m AGL to minimize distance and exposure,Follow thermal updrafts to gain altitude without power use,Circle repeatedly at mid-altitude to wait for clear signals,Descend continuously to avoid moving obstacle and traffic,Transmit all lidar data in real-time during downlink windows,Skip two waypoints to conserve energy and ensure return,"[""Climb rapidly to 120 m for better wind and GNSS signal"", ""Fly direct at 10 m AGL to minimize distance and exposure"", ""Follow thermal updrafts to gain altitude without power use"", ""Circle repeatedly at mid-altitude to wait for clear signals"", ""Descend continuously to avoid moving obstacle and traffic"", ""Transmit all lidar data in real-time during downlink windows"", ""Skip two waypoints to conserve energy and ensure return""]","Thermal soaring exploits natural lift, preserving battery while maintaining progress. It balances altitude, communication windows, and obstacle avoidance. Other options waste energy or compromise mission completion." 2025-11-01T18:05:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Helicopter_in_Desert_Crosswind_0d7f2e77eba6_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Helicopter_in_Desert_Crosswind,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Given 30% battery reserve, 2 kg payload, and 600 s mission, which strategy maximizes inspection completion under GNSS denial and wind?","This mission involves a helicopter UAV conducting an inspection in a desert urban canyon environment. The airspace is constrained by a geofenced rectangular zone with multiple no-fly zones, including a static cylinder and a moving dynamic no-fly zone. A sandstorm is present with strong crosswinds increasing with altitude, blowing from 240° at 8.5 m/s at ground level and shifting to 260° at 13.5 m/s aloft. The UAV is equipped with GNSS, IMU, lidar, camera, and other standard sensors, but faces GNSS multipath, electromagnetic interference, and a planned GNSS jamming event. The helicopter carries a 2 kg payload and must navigate using RGB camera and lidar due to degraded GNSS conditions. It must maintain separation of at least 25 meters from traffic and obstacles, with a minimum time-to-contact threshold of 15 seconds. The mission requires traversing five waypoints in a corridor pattern within 600 seconds, avoiding collisions and NFZ breaches. Battery endurance is limited, with a reserve fraction of 30%, and communication experiences brief downlink loss periods. External threats include a moving spherical obstacle and an intruder UAV flying through the airspace. The scenario tests robust navigation and fault tolerance under wind, sensor degradation, and dynamic obstacles.",Climb to 100 m for better GNSS signal and reduce wind effects,Fly direct routes at max speed to finish before battery depletion,Descend to 20 m to reduce wind load and conserve battery,Hover at each waypoint to stabilize camera for clearer images,Use full lidar scanning every 10 seconds for obstacle detection,Transmit all video at 20 Mbps during downlink-available windows,"Reduce payload power, use lidar-camera fusion, and follow canyon floor","[""Climb to 100 m for better GNSS signal and reduce wind effects"", ""Fly direct routes at max speed to finish before battery depletion"", ""Descend to 20 m to reduce wind load and conserve battery"", ""Hover at each waypoint to stabilize camera for clearer images"", ""Use full lidar scanning every 10 seconds for obstacle detection"", ""Transmit all video at 20 Mbps during downlink-available windows"", ""Reduce payload power, use lidar-camera fusion, and follow canyon floor""]",Operating near the canyon floor reduces wind-induced power demand. Using sensor fusion minimizes reliance on GNSS and limits lidar's power draw. Reducing payload power and adaptive path planning preserves energy for mission completion within battery limits. 2025-11-01T18:05:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Hexacopter_at_Bridge_Site_Under_Strong_Crosswind_55d4848d8dc6_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Hexacopter_at_Bridge_Site_Under_Strong_Crosswind,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"Given 8.5 m/s crosswinds from 240°, GNSS degradation, and a moving UAV at 6 m/s, which action ensures safe, stable flight within 15m separation?","This mission involves a hexacopter conducting a bridge site inspection in an urban canyon environment. The UAV operates within a defined airspace bounded by a 200m x 150m geofenced polygon and altitudes from 10m to 120m AGL. Strong crosswinds of 8.5 m/s from 240 degrees, with gusts up to 4.2 m/s, challenge flight stability. The hexacopter carries a standard payload with RGB camera and LiDAR, relying on GNSS, IMU, and barometric sensors for navigation. GNSS performance is degraded due to multipath effects and moderate electromagnetic interference near the bridge structure. A static no-fly zone restricts access to a central cylinder near the bridge, while a dynamic no-fly zone moves slowly through the area. Air traffic includes another UAV flying westward at 6 m/s, requiring separation monitoring. Communication experiences brief downlink outages at specific intervals, risking temporary data loss. The UAV must maintain at least 15 meters separation and avoid both moving and static obstacles throughout the mission. The scenario emphasizes robust navigation and situational awareness under turbulent wind and poor GNSS conditions.",Climb to 120m for better GNSS signal and wind clearance,Descend to 10m to reduce wind exposure and save power,Hover at reduced throttle to conserve energy near the bridge,Fly upwind at increased speed to maintain position accuracy,"Follow curved path at 45m altitude, adjusting thrust dynamically",Match speed with traffic UAV to minimize relative motion,Abort mission due to communication outages and wind risk,"[""Climb to 120m for better GNSS signal and wind clearance"", ""Descend to 10m to reduce wind exposure and save power"", ""Hover at reduced throttle to conserve energy near the bridge"", ""Fly upwind at increased speed to maintain position accuracy"", ""Follow curved path at 45m altitude, adjusting thrust dynamically"", ""Match speed with traffic UAV to minimize relative motion"", ""Abort mission due to communication outages and wind risk""]","Flying at 45m balances wind resilience, sensor reliability, and separation from obstacles. Dynamic thrust adjustment compensates for gusts and GNSS drift while maintaining energy efficiency. This path avoids static and dynamic no-fly zones, ensuring compliance with safety and navigation constraints under degraded conditions." 2025-11-01T18:05:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Gusts_dbfff003dc18_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Gusts,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 130s, GNSS jamming begins (45s duration) amid 30kt westerly gusts near waypoint 2; obstacle 18m away. What's the ethical priority?","This is an urban inspection mission in a mountainous area with strong westerly winds and frequent gusts. The UAV is a quadrotor equipped with GNSS, IMU, lidar, RGB camera, and barometer for navigation and data collection. It operates within a defined airspace polygon, avoiding static and dynamic no-fly zones, including a moving obstacle and a drifting no-fly cylinder. The mission involves following a corridor pattern through five waypoints within a 600-second time limit. GNSS multipath and electromagnetic interference degrade positioning accuracy, especially in urban canyon-like conditions. A planned GNSS jamming fault occurs at 120 seconds, lasting 45 seconds with high severity, challenging navigation resilience. Communication experiences brief downlink outages at 200 and 400 seconds, requiring robust data handling. Minimum and maximum altitudes are enforced between 10 and 120 meters AGL, with separation monitoring for nearby UAV traffic. The UAV must maintain safe distances from obstacles and other aircraft using DAA thresholds of 15 meters and 5 seconds TTC. Battery capacity is limited, requiring efficient flight to complete the mission and land successfully at the preferred site.",Continue to waypoint 3 using lidar and IMU,Climb to 120m AGL for better GNSS reception,Descend to 10m AGL to reduce wind exposure,Abort mission and land at nearest open site,Fly directly toward populated valley for stable signal,Ignore DAA alert; complete inspection for client,Hover until jamming ends and comms restore,"[""Continue to waypoint 3 using lidar and IMU"", ""Climb to 120m AGL for better GNSS reception"", ""Descend to 10m AGL to reduce wind exposure"", ""Abort mission and land at nearest open site"", ""Fly directly toward populated valley for stable signal"", ""Ignore DAA alert; complete inspection for client"", ""Hover until jamming ends and comms restore""]","GNSS jamming, wind gusts, and proximity to obstacles increase collision risk. Continuing flight compromises safety-of-life over mission objectives. Aborting ensures compliance with DAA thresholds and prevents potential harm to people or property in urban terrain." 2025-11-01T18:05:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_HAPS_in_Wind_Farm_under_Dust_Conditions_9657381bb9ad_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_HAPS_in_Wind_Farm_under_Dust_Conditions,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Which path maintains 100–600 m AGL, avoids moving NFZ and obstacle, and completes four waypoints in ≤600 s under 8.5 m/s winds?","The mission is a mapping operation conducted by a high-altitude pseudo-satellite UAV in a wind farm environment. The UAV operates between 100 and 600 meters AGL within a defined polygonal airspace that includes static and moving no-fly zones. Weather conditions include strong winds averaging 8.5 m/s with gusts up to 4.0 m/s, poor visibility due to dust, and variable wind profiles across altitudes. The UAV is equipped with radar, RGB camera, and standard navigation sensors but faces challenges from GNSS multipath effects and moderate jamming at -75 dBm. Electromagnetic interference and periodic comms downlink losses further complicate operations. A dynamic no-fly zone moves through the airspace, requiring real-time avoidance, while a spherical moving obstacle also traverses the area. The UAV must maintain safe separation from another UAV traveling at 20 m/s on a fixed heading. Launch occurs from 300 m AGL, with preferred and emergency landing sites designated outside the operational zone. The mission must be completed within 600 seconds, following a grid pattern across four waypoints. Battery endurance and sensor reliability are critical constraints due to the demanding environmental and navigational conditions.","Direct route at 300 m AGL, adjusting heading every 30 s",Fixed grid pattern ignoring dynamic obstacle trajectory,Descend to 90 m AGL to minimize wind impact,Climb to 610 m AGL for clearer GNSS signal,Reroute southwest early to anticipate obstacle path,Hold at second waypoint until comms stabilize,Follow other UAV’s path to share telemetry,"[""Direct route at 300 m AGL, adjusting heading every 30 s"", ""Fixed grid pattern ignoring dynamic obstacle trajectory"", ""Descend to 90 m AGL to minimize wind impact"", ""Climb to 610 m AGL for clearer GNSS signal"", ""Reroute southwest early to anticipate obstacle path"", ""Hold at second waypoint until comms stabilize"", ""Follow other UAV’s path to share telemetry""]","Option E enables proactive obstacle avoidance while preserving optimal altitude and time-to-go. It accounts for obstacle motion and communication latency, minimizing deviations. Other options violate AGL limits, ignore dynamic hazards, or waste time, risking mission failure." 2025-11-01T18:05:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Hexacopter_in_Snow_325ad1074642_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Hexacopter_in_Snow,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"Hexacopter faces GNSS jamming, 10-min mission window, and moving obstacle in snow. Prioritize?","This mission involves a hexacopter conducting an inspection in a rural airspace with snowfall and poor visibility. The UAV operates within a defined corridor bounded by altitude limits and a polygonal geofence. A no-fly zone cylinder is centered in the area, requiring careful path planning to avoid violations. The hexacopter is equipped with GNSS, IMU, lidar, and RGB camera, but faces GNSS multipath and electromagnetic interference. A moving obstacle drifts through the inspection route, and another UAV transits nearby, requiring separation monitoring. Wind is moderate from the southwest with gusts, affecting stability and energy use. The UAV must complete its waypoint corridor within 10 minutes while managing battery reserves. A GNSS jamming fault occurs mid-mission, and communication experiences a brief loss window. Key constraints include maintaining separation, avoiding the NFZ, and coping with degraded GNSS performance in snowy, electrically noisy conditions.",Continue mission using lidar and IMU,Descend immediately to avoid obstacle,Exit NFZ and land in nearest field,Ignore jamming; trust degraded GNSS,Fly through NFZ to save time,Maintain altitude and delay correction,Transmit distress and await ATC reply,"[""Continue mission using lidar and IMU"", ""Descend immediately to avoid obstacle"", ""Exit NFZ and land in nearest field"", ""Ignore jamming; trust degraded GNSS"", ""Fly through NFZ to save time"", ""Maintain altitude and delay correction"", ""Transmit distress and await ATC reply""]","Safety requires abandoning mission to ensure controlled landing during GNSS failure, especially with snow reducing visibility and no-fly zone proximity. Continuing risks unlawful intrusion or collision, while landing minimizes harm and complies with airspace laws. Other options either endanger public safety or violate operational integrity under degraded navigation." 2025-11-01T18:05:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Hexacopter_69ede5531412_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Hexacopter,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,G,False,"Given 4 m/s wind and RSSI -85 dBm, which sensor fusion strategy ensures reliable rural corridor navigation?",The mission is a rural inspection of a corridor. The weather is good. The wind is 8.5 m/s. The visibility is good. The wind is 4 m/s. The wind is 4 m/s. The wind is 4 m/s. The wind is 4 m/s. The RSSI is -85. The RSSI is -85. The RSSI is -85. The RSSI is -85. The RSSI is -85. The RSSI is -85. The RSSI is -85. The RSSI is -85. The RSSI is -85. The RSSI is -85. The RSSI is -85. The RSSI is -85. The RSSI is -85. The RSSI is -85. The RSSI is -85. The RSSI is -85. The RSSI is -85. The RSSI is -85. 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Fusing visual, IMU, and GNSS corrects for GNSS latency and IMU drift, while visual feedback enhances positional accuracy. This adaptive fusion maximizes resilience in open yet dynamic rural environments." 2025-11-01T18:05:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Icing_6c8e1575cc59_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Icing,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"With 30% battery reserve, 8 m/s winds, and GNSS jamming, what should the UAV do when entering icing conditions near the dynamic no-fly zone?","This is an urban inspection mission using a quadrotor UAV equipped with RGB camera, LiDAR, and standard navigation sensors. The flight occurs in a dense urban canyon environment with tall buildings creating tight airspace constraints. Weather includes strong 8 m/s winds from 240°, gusts up to 4 m/s, poor visibility, and in-flight icing conditions. The UAV must navigate between five waypoints in a corridor pattern while avoiding static and moving obstacles. A no-fly zone is present near the center of the area, with an additional dynamic no-fly zone moving across the airspace. GNSS signals are degraded due to multipath effects and intentional jamming events that occur mid-mission. The UAV must maintain separation from other air traffic and adhere to strict altitude and geofence boundaries. Battery endurance is limited, with a reserve of 30% required for safe return. Communication links experience two brief downlink outages during the mission. The scenario tests resilience to sensor degradation, environmental hazards, and fault conditions like icing and GNSS denial.",A- Continue to next waypoint to meet mission deadline,B- Climb rapidly to escape icing and improve GNSS,C- Abort mission and reroute to nearest safe landing zone,游戏副本: Return to base via shortest path through no-fly zone,E- Descend below urban canyon to reduce wind exposure,F- Hover in place until GNSS signal stabilizes,G- Transmit priority distress signal and maintain current heading,"[""A- Continue to next waypoint to meet mission deadline"", ""B- Climb rapidly to escape icing and improve GNSS"", ""C- Abort mission and reroute to nearest safe landing zone"", ""游戏副本: Return to base via shortest path through no-fly zone"", ""E- Descend below urban canyon to reduce wind exposure"", ""F- Hover in place until GNSS signal stabilizes"", ""G- Transmit priority distress signal and maintain current heading""]","Icing combined with GNSS denial and wind poses high risk to flight safety. Continuing or hovering endangers public and operator. Aborting ensures safety-of-life priority and compliance with airspace regulations, minimizing overall risk despite mission loss." 2025-11-01T18:05:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_High_Altitude_Pseudo-Satellite_26ad89bf35d1_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_High_Altitude_Pseudo-Satellite,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"During GNSS jamming at 120–165 s, with -75 dBm interference and downlink loss, how should UAVs coordinate navigation and data integrity?","This mission involves a high-altitude pseudo-satellite UAV conducting a mapping survey in a desert environment with designated airspace between 1000 and 4000 meters AGL. The UAV is equipped with radar, RGB camera, GNSS, IMU, magnetometer, and barometer, but lacks LiDAR and thermal imaging. Weather conditions include 8 m/s winds from 240° at ground level, increasing to 18 m/s at 3000 m, with fog reducing visibility and a wind shear profile across altitudes. The flight faces GNSS multipath effects, moderate jamming at -75 dBm, and electromagnetic interference, with a simulated GNSS jamming fault occurring between 120 and 165 seconds. The operational area contains a static no-fly zone cylinder centered at (1000, 750) and a moving no-fly zone drifting at 2.5 m/s, requiring dynamic avoidance. A second UAV and a moving spherical obstacle add traffic complexity, with DAA thresholds set at 100 m separation and 30 s time-to-closest-approach. The mission follows a grid pattern with five waypoints, including a loiter near the center, while avoiding the central NFZ and adhering to geofence boundaries. The UAV launches from 2000 m AGL and must manage battery reserves carefully due to high hover power demand and a 30% reserve requirement. Communication experiences a brief downlink loss between 120 and 165 seconds, coinciding with the GNSS fault. Success depends on maintaining navigation integrity, avoiding collisions, and completing the mapping route within energy and airspace constraints.",Switch to IMU/radar dead reckoning and cache mapping data locally,Descend to 1000 m to reduce wind shear and improve signal reception,Broadcast position via secondary UAV relay at 30 s intervals,Abort mission and return to launch altitude immediately,Increase loiter radius to avoid moving obstacle and NFZ drift,Share corrected GNSS fixes using swarm consensus filtering,Hover in formation with second UAV for mutual localization,"[""Switch to IMU/radar dead reckoning and cache mapping data locally"", ""Descend to 1000 m to reduce wind shear and improve signal reception"", ""Broadcast position via secondary UAV relay at 30 s intervals"", ""Abort mission and return to launch altitude immediately"", ""Increase loiter radius to avoid moving obstacle and NFZ drift"", ""Share corrected GNSS fixes using swarm consensus filtering"", ""Hover in formation with second UAV for mutual localization""]","During GNSS denial, maintaining navigation integrity requires decentralized estimation through shared filtering. Option F leverages inter-agent redundancy and communication resiliency by fusing relative measurements and timing-aligned corrections. Other options either increase risk, waste energy, or fail to preserve coordination under communication and sensor constraints." 2025-11-01T18:05:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Sandstorm_Offshore_de88a5b79b78_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Sandstorm_Offshore,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 200m AGL during sandstorm, wind 20 m/s west, GNSS jammed at -75 dBm: which navigation strategy maintains integrity?","This is an inspection mission conducted offshore near an industrial platform in poor visibility due to a sandstorm. The UAV is a fuel-powered helicopter equipped with lidar, radar, RGB camera, and standard navigation sensors. It operates within a defined airspace polygon from 10 to 300 meters AGL, avoiding a central cylindrical no-fly zone around critical infrastructure. Strong and variable winds increase in speed and shift direction with altitude, peaking at 20 m/s from the west at 200 meters. GNSS signals are degraded by multipath effects and intentional jamming at -75 dBm, with a planned GNSS jamming fault lasting one minute. A sandstorm fault further reduces visibility and sensor performance for two minutes starting at 300 seconds. The UAV must complete a corridor inspection pattern covering four waypoints while managing fuel and avoiding a moving spherical obstacle and conflicting traffic. Communication is limited by a downlink failure during a critical window from 300 to 420 seconds. The mission requires a runway approach for landing and must maintain separation from other aircraft by at least 25 meters or 20 seconds time-to-close.",Prioritize GNSS despite jamming for position consistency,Rely solely on IMU to avoid sensor conflict,Fuse radar and lidar with wind-compensated IMU,Switch to optical flow using degraded RGB feed,Use pre-flight GPS waypoints without update,Depend on magnetic heading during multipath,Idle sensors and coast on last known state,"[""Prioritize GNSS despite jamming for position consistency"", ""Rely solely on IMU to avoid sensor conflict"", ""Fuse radar and lidar with wind-compensated IMU"", ""Switch to optical flow using degraded RGB feed"", ""Use pre-flight GPS waypoints without update"", ""Depend on magnetic heading during multipath"", ""Idle sensors and coast on last known state""]",Radar and lidar are less affected by sandstorm and GNSS jamming than optical or GNSS-dependent systems. Fusing them with a wind-biased IMU corrects for drift and maintains spatial awareness. This approach ensures robust navigation despite degraded visibility and signal interference. 2025-11-01T18:05:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Sandstorm_at_Wind_Farm_ed4353071289_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Sandstorm_at_Wind_Farm,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 200m altitude with 18m/s wind and sandstorm, how should the UAV adjust speed and altitude to maintain mapping accuracy, energy, and separation within 900s?","This mission involves a high-altitude pseudo-satellite UAV conducting a grid-based mapping operation within a wind farm located in an urban canyon environment. The airspace is constrained between 50 and 300 meters AGL, with a static no-fly zone around a central turbine and a moving no-fly zone drifting at 2.5 m/s. The UAV is equipped with radar, RGB camera, and standard navigation sensors but faces GNSS multipath and jamming conditions, especially during a sandstorm that reduces visibility and increases wind gusts up to 6 m/s. Wind speeds increase with altitude, ranging from 12 m/s at ground level to 18 m/s at 200 meters, with shifting direction. The UAV must maintain separation from a second UAV flying across its path and avoid a moving spherical obstacle. A three-UAV swarm operates with leader-scout-relay roles, requiring at least 50 meters inter-UAV separation. GNSS jamming occurs between 300–360 seconds and IMU bias fault from 500–545 seconds, challenging navigation reliability. Communication experiences brief downlink losses at 200 and 600 seconds with minimum RSSI at -85 dBm. The mission requires use of a designated runway for landing and must complete within 900 seconds. Battery endurance is critical, with a 30% reserve mandated and high hover power draw under windy conditions.",Descend to 60m to reduce wind load and save power,Climb to 290m for smoother airflow and better GNSS reception,Maintain 200m and reduce speed to 8m/s for stable imaging,Increase speed to 15m/s to finish mapping before jamming,Hover at 150m until sandstorm weakens to preserve data quality,Descend to 55m and fly perpendicular to wind to minimize drift,Ascend to 300m despite power cost to ensure relay visibility,"[""Descend to 60m to reduce wind load and save power"", ""Climb to 290m for smoother airflow and better GNSS reception"", ""Maintain 200m and reduce speed to 8m/s for stable imaging"", ""Increase speed to 15m/s to finish mapping before jamming"", ""Hover at 150m until sandstorm weakens to preserve data quality"", ""Descend to 55m and fly perpendicular to wind to minimize drift"", ""Ascend to 300m despite power cost to ensure relay visibility""]","Maintaining 200m balances wind exposure and sensor performance while reducing speed ensures image stability during sandstorm. It conserves energy relative to climbing or hovering, respects no-fly zones, and sustains swarm separation under GNSS degradation. Other options either exceed power limits, risk collision, or disrupt coordination." 2025-11-01T18:05:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Solar_Wing_UAV_956733a32095_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Solar_Wing_UAV,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"How should the UAV adjust for 11 m/s winds and GNSS at -75 dBm while mapping near (500, 600)?","This mission involves a fixed-wing solar UAV conducting a corridor mapping operation in mountainous terrain. The flight occurs in poor visibility with fog and moderate winds up to 11 m/s, increasing with altitude and shifting direction. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors, but faces GNSS signal degradation due to multipath and jamming at -75 dBm. A key constraint is navigating around a static no-fly zone centered at (500, 400) and avoiding a moving obstacle near (500, 600) traveling westward. Additionally, a dynamic no-fly zone moves diagonally across the area, requiring real-time path adaptation. The UAV must maintain separation from another traffic UAV entering from the east at 18 m/s. Flight altitude is restricted between 30 m and 180 m AGL within a defined polygon geofence. The mission requires use of a designated runway for landing, with preferred and emergency landing sites specified. Communication includes two brief downlink loss windows, and the UAV must complete its waypoint sequence within 600 seconds. Energy management is critical due to high aerodynamic drag and motor power demands, especially in wind.",Climb to 180 m to escape wind gusts and improve GNSS signal clarity,Descend to 30 m to reduce wind exposure and conserve energy,"Maintain 100 m altitude, adjust heading to counter wind drift and cross-track error",Halt propulsion and glide to save power while awaiting GNSS recovery,Accelerate to 25 m/s to minimize wind integration time and exit fog zone,Reroute westward around moving obstacle using lidar-only navigation,"Descend to 40 m, reduce speed to 15 m/s, and use IMU-lidar fusion for path tracking","[""Climb to 180 m to escape wind gusts and improve GNSS signal clarity"", ""Descend to 30 m to reduce wind exposure and conserve energy"", ""Maintain 100 m altitude, adjust heading to counter wind drift and cross-track error"", ""Halt propulsion and glide to save power while awaiting GNSS recovery"", ""Accelerate to 25 m/s to minimize wind integration time and exit fog zone"", ""Reroute westward around moving obstacle using lidar-only navigation"", ""Descend to 40 m, reduce speed to 15 m/s, and use IMU-lidar fusion for path tracking""]","Descending to 40 m avoids peak winds and stays above minimum altitude, reducing aerodynamic stress. Using IMU-lidar fusion compensates for degraded GNSS, ensuring navigation accuracy. Slowing to 15 m/s improves control stability and energy efficiency while maintaining obstacle separation and mission timeline feasibility." 2025-11-01T18:05:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Swarm_Drones_64c3d809923d_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Swarm_Drones,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"With 3 minutes left, GNSS jamming and icing cause two drones to drift toward a populated plaza below 5-meter separation.","This is an urban inspection mission using a swarm of four multirotor drones in a dense city environment. The airspace is constrained by static and moving no-fly zones, with a maximum altitude of 120 meters AGL. Weather includes strong winds up to 12 m/s, gusts, poor visibility, snowfall, and icing conditions aloft. The UAVs are equipped with GNSS, IMU, lidar, RGB cameras, and other standard sensors but face GNSS multipath, jamming, and electromagnetic interference. The swarm must navigate urban canyons while maintaining minimum 5-meter inter-drone separation and avoiding a dynamic obstacle and conflicting traffic. A key challenge is reliable navigation under intermittent GNSS outages and communication dropouts at low signal levels. The mission requires completing a corridor inspection pattern within 10 minutes, returning to start, while managing battery reserves. Icing and GNSS jamming faults are introduced mid-mission, testing resilience. Landing sites include one preferred and two emergency zones outside restricted areas.",Continue mission; risk is low and within operational tolerance.,Abort all drones; prioritize public safety over mission completion.,Isolate affected drones; let them proceed autonomously to minimize delay.,Land immediately in restricted zone to prevent total system failure.,Increase speed to finish inspection before battery or ice worsens.,Rely on GNSS despite jamming; trust redundancy to correct errors.,Deploy drones as static observers; delay landing until command approval.,"[""Continue mission; risk is low and within operational tolerance."", ""Abort all drones; prioritize public safety over mission completion."", ""Isolate affected drones; let them proceed autonomously to minimize delay."", ""Land immediately in restricted zone to prevent total system failure."", ""Increase speed to finish inspection before battery or ice worsens."", ""Rely on GNSS despite jamming; trust redundancy to correct errors."", ""Deploy drones as static observers; delay landing until command approval.""]","Public safety must override mission objectives when drones risk uncontrolled flight near civilians. Continuing or delaying increases collision and injury likelihood. Aborting ensures controlled landings at emergency zones, minimizing harm and adhering to safety-of-life principles." 2025-11-01T18:05:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_VTOL_Tiltrotor_c5835e8ee62f_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_VTOL_Tiltrotor,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 115m altitude in 8 m/s winds, GNSS degrades and a 30-second jamming event begins—how should the UAV respond?","This mission involves a VTOL tiltrotor UAV conducting an urban infrastructure inspection in a dense city canyon environment. The flight occurs within a confined 500x500 meter urban airspace with strict altitude limits between 10 and 120 meters AGL. Weather conditions include strong westerly winds of 8 m/s increasing with altitude, gusts up to 4 m/s, poor visibility, and icing risks. The UAV is equipped with standard sensors including GNSS, IMU, and lidar, plus an RGB camera payload for visual inspection. Key challenges include GNSS signal multipath and a planned 30-second jamming event at -75 dBm, compounded by electromagnetic interference. The airspace contains a static no-fly zone over a critical facility and a moving exclusion zone drifting at 2.5 m/s. The UAV must avoid dynamic traffic and a horizontally oscillating spherical obstacle while maintaining separation. A runway-assisted takeoff and landing are required, with transition phases between hover and forward flight. Battery endurance is limited, with a 30% reserve mandated and potential performance degradation from icing on wings. The mission must be completed within 600 seconds while navigating sensor faults, communication dropouts, and complex aerodynamic interactions in the urban canyon.","Continue inspection using lidar and IMU, maintaining altitude",Descend to 15m AGL to reduce wind exposure and signal noise,Climb above 120m to escape urban canyon multipath effects,Abort mission and land immediately at nearest open zone,Enter hover and await GNSS signal restoration post-jamming,Fly toward critical facility to use its stabilized comms array,Eject camera payload to reduce weight and improve control,"[""Continue inspection using lidar and IMU, maintaining altitude"", ""Descend to 15m AGL to reduce wind exposure and signal noise"", ""Climb above 120m to escape urban canyon multipath effects"", ""Abort mission and land immediately at nearest open zone"", ""Enter hover and await GNSS signal restoration post-jamming"", ""Fly toward critical facility to use its stabilized comms array"", ""Eject camera payload to reduce weight and improve control""]","Descending to 15m reduces wind and improves sensor reliability while staying within legal altitude bounds and avoiding the no-fly zone. It balances mission continuity with safety, unlike options that violate airspace laws, endanger infrastructure, or risk uncontrolled descent in dense areas. Other choices either breach regulations or increase risk to civilians or the UAV." 2025-11-01T18:05:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GPS_Spoofing_Scenario_for_Convertiplane_c66bfd53fa17_mcq.json,uavbench-mcq-v1,Urban_Canyon_GPS_Spoofing_Scenario_for_Convertiplane,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"At 240 seconds, GNSS spoofing begins with 15 m/s winds and a moving obstacle near Waypoint 2; what action prioritizes safety?","The mission is an urban infrastructure inspection using a convertiplane UAV equipped with RGB camera and LiDAR payload. It operates within a confined urban canyon airspace bounded by tall buildings and a strict altitude range of 10–120 meters AGL. The environment features strong winds up to 15 m/s increasing with altitude, gusts, thermal updrafts, and complex wind shear. GNSS signals suffer from multipath effects, moderate jamming, and a planned 45-second spoofing attack at 240 seconds into the mission. The UAV must avoid a cylindrical no-fly zone centered in the urban area and maintain separation from static obstacles and another UAV on a crossing path. A moving spherical obstacle drifts slowly near a key waypoint, adding dynamic collision risk. The mission follows a corridor pattern with three waypoints, requiring precise navigation despite degraded GNSS and electromagnetic interference. The convertiplane must transition between hover and fixed-wing flight and land on a designated runway. Communication experiences a 45-second downlink loss window coinciding with the spoofing event, limiting remote intervention. Battery endurance and energy management are critical due to high wind resistance and aerodynamic drag.",Continue as planned using LiDAR and IMU for navigation,Ascend to 130 m AGL for stronger GNSS and wind stability,Hover at current position until spoofing ends in 45 seconds,Abort mission and land immediately at nearest open site,Eject battery to reduce weight and escape no-fly zone,Switch to manual control and fly through urban canyon,Transition to fixed-wing and exit upwind corridor rapidly,"[""Continue as planned using LiDAR and IMU for navigation"", ""Ascend to 130 m AGL for stronger GNSS and wind stability"", ""Hover at current position until spoofing ends in 45 seconds"", ""Abort mission and land immediately at nearest open site"", ""Eject battery to reduce weight and escape no-fly zone"", ""Switch to manual control and fly through urban canyon"", ""Transition to fixed-wing and exit upwind corridor rapidly""]","Continuing with sensor fusion (LiDAR/IMU) maintains mission integrity while avoiding unsafe ascent or uncontrolled descent. It complies with airspace limits, avoids civilian risk, and respects autonomy constraints during communication loss. Other options violate altitude rules, increase collision risk, or abandon safety protocols." 2025-11-01T18:05:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Heavy_Lift_Inspection_Under_Microburst_Risk_1be9e9a12c6f_mcq.json,uavbench-mcq-v1,Urban_Canyon_Heavy_Lift_Inspection_Under_Microburst_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,How should the octocopter coordinate with traffic UAV under GNSS jamming and 9.0 m/s winds during 600-second inspection?,"Heavy-lift UAV conducts industrial inspection in an urban canyon environment with tight airspace constraints. Flight occurs within a defined polygon geofence, with minimum altitude of 5.0 m AGL and maximum of 60.0 m AGL. Strong winds at 9.0 m/s from 240° with gusts up to 4.5 m/s, under microburst risk conditions. UAV is an octocopter with RGB camera and LiDAR payload, carrying 5 kg of inspection equipment. Static and moving no-fly zones are present, including a dynamic obstacle shifting at 2.5 m/s. GNSS signals face multipath interference and a planned 45-second jamming event at moderate severity. Electromagnetic interference and partial downlink loss during two distinct time windows affect comms. A single traffic UAV enters the airspace from the east at constant speed and heading. Mission requires completing a corridor-style waypoint inspection within 600 seconds. Multiple safety and performance metrics are monitored, including separation, battery, and fault resilience.",Climb to 60 m AGL to avoid traffic and extend comms range,Descend to 5 m AGL to minimize wind impact and evade jamming,Match traffic speed and align heading to maintain separation,Halt at midpoint until jamming ends to preserve fault resilience,Accelerate to complete inspection before dynamic obstacle arrives,Switch to LiDAR-only navigation and reduce comms bandwidth,Broadcast position via mesh relay to sustain situational awareness,"[""Climb to 60 m AGL to avoid traffic and extend comms range"", ""Descend to 5 m AGL to minimize wind impact and evade jamming"", ""Match traffic speed and align heading to maintain separation"", ""Halt at midpoint until jamming ends to preserve fault resilience"", ""Accelerate to complete inspection before dynamic obstacle arrives"", ""Switch to LiDAR-only navigation and reduce comms bandwidth"", ""Broadcast position via mesh relay to sustain situational awareness""]","Under GNSS jamming and partial downlink loss, maintaining inter-agent awareness via decentralized communication is critical. Broadcasting position through mesh relay ensures cooperative tracking of the traffic UAV and dynamic obstacle despite reduced comms. This preserves separation, supports fault-resilient coordination, and enables timely inspection within 600 seconds without violating geofence or safety margins." 2025-11-01T18:05:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Glider_GNSS_Challenge_8f271fc65129_mcq.json,uavbench-mcq-v1,Urban_Canyon_Glider_GNSS_Challenge,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"At 45 m AGL, 15 m/s SW wind, and 30% battery reserve, which maneuver optimizes lift-to-drag ratio while avoiding the moving obstacle?","This is a UAV survey mission in a suburban urban canyon environment with poor visibility due to dust and moderate wind from the southwest. The UAV is a battery-powered glider equipped with RGB camera payload and standard navigation sensors including GNSS, IMU, and barometer. Operating altitude is constrained between 30 and 150 meters AGL within a defined geofenced polygon area. A static no-fly zone and a moving no-fly cylinder create dynamic airspace constraints, requiring real-time avoidance. GNSS performance is degraded by multipath effects and moderate jamming, challenging navigation reliability. The mission must be completed within 600 seconds, following a corridor pattern across four waypoints while maintaining safe separation from traffic and obstacles. A second UAV enters the airspace on a conflicting trajectory, and a moving spherical obstacle drifts through the path. Communication experiences two brief downlink/uplink loss windows, testing data resilience. Battery reserve is set to 30%, and the flight must manage energy carefully given aerodynamic and weather conditions.",Increase angle of attack to 14° for maximum lift,Descend to 30 m AGL to reduce induced drag,Turn 20° north with 35° bank to bypass obstacle,Reduce airspeed to 12 m/s to conserve battery,Pitch down 5° and increase thrust 10%,Maintain 18 m/s and 6° angle of attack,Climb to 150 m AGL for clearer GNSS signal,"[""Increase angle of attack to 14° for maximum lift"", ""Descend to 30 m AGL to reduce induced drag"", ""Turn 20° north with 35° bank to bypass obstacle"", ""Reduce airspeed to 12 m/s to conserve battery"", ""Pitch down 5° and increase thrust 10%"", ""Maintain 18 m/s and 6° angle of attack"", ""Climb to 150 m AGL for clearer GNSS signal""]","Maintaining 18 m/s and 6° AoA optimizes L/D ratio near best glide, balancing Reynolds number and density altitude effects. This sustains lift with minimal drag while preserving energy and avoiding stall or excessive sink rate. Other options either exceed critical AoA, increase drag, or compromise obstacle clearance and navigation reliability." 2025-11-01T18:05:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Coastal_Wind_Turbine_Blade_Inspection_with_Amphibious_UAV_1df49ad3a2d8_mcq.json,uavbench-mcq-v1,Coastal_Wind_Turbine_Blade_Inspection_with_Amphibious_UAV,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,A,A,True,A turbine inspection in coastal airspace faces 13.2 m/s crosswinds and a moving obstacle; mission must end within 600s.,"This mission involves inspecting wind turbine blades along a coastal area using an amphibious fixed-wing VTOL UAV equipped with RGB and thermal cameras. The flight occurs in controlled coastal airspace with strong crosswinds up to 13.2 m/s at higher altitudes, increasing aerodynamic challenges. The UAV has a 750 Wh battery and carries a 0.7 kg payload, requiring careful energy management due to wind resistance and mission duration limits. Operations are confined within a 800m x 600m geofenced polygon with a cylindrical no-fly zone (50m radius, up to 100m altitude) at the center. A nearby runway aligned to heading 270° is required for takeoff and landing, with primary and emergency landing zones designated. The UAV must navigate around a moving spherical obstacle traveling westward at 5 m/s near a turbine site. Crosswind performance is critical, especially during transitions between hover and forward flight, which take 8–10 seconds. Traffic includes a single UAV entering from the east, demanding separation monitoring to maintain at least 25m distance and 15s time-to-closest-approach. GNSS signals may suffer multipath effects near turbines, requiring sensor fusion with IMU and barometer data. The mission must complete within 600 seconds while adhering to altitude, battery reserve, and inspection path constraints.","Fly at 90m AGL, inspect clockwise, land after 580s","Descend to 40m AGL, bypass NFZ east, land immediately","Climb to 110m, avoid obstacle, return to runway heading 270°","Hover at 60m for 20s, capture thermal data, then exit",Proceed direct through NFZ center at 30m altitude,Delay takeoff 45s to align with obstacle trajectory,"Fly west at 70m AGL, intercept obstacle path, inspect downwind","[""Fly at 90m AGL, inspect clockwise, land after 580s"", ""Descend to 40m AGL, bypass NFZ east, land immediately"", ""Climb to 110m, avoid obstacle, return to runway heading 270°"", ""Hover at 60m for 20s, capture thermal data, then exit"", ""Proceed direct through NFZ center at 30m altitude"", ""Delay takeoff 45s to align with obstacle trajectory"", ""Fly west at 70m AGL, intercept obstacle path, inspect downwind""]","Option A respects the 100m NFZ ceiling, maintains safe separation, and allows full inspection within 600s. It avoids multipath risks near turbines by limiting hover and uses the designated runway. Other choices violate altitude, NFZ, separation, or energy constraints." 2025-11-01T18:05:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Loiter_with_Swarm_Drones_and_Lightning_Risk_f0c3c22d4938_mcq.json,uavbench-mcq-v1,Urban_Canyon_Loiter_with_Swarm_Drones_and_Lightning_Risk,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Which route adjustment preserves 8m separation, avoids the central NFZ, and accounts for 8 m/s winds during GNSS jamming at 300 seconds?","This mission involves a swarm of four UAVs conducting a loiter operation in an urban canyon environment. The airspace is constrained by static and dynamic no-fly zones, including a cylindrical exclusion zone at the center and a moving obstacle. The UAVs operate between 10 and 120 meters AGL within a defined 200x200 meter geofenced area. Weather includes strong 8 m/s winds from the west with gusts up to 4 m/s and a risk of lightning, requiring careful energy and fault management. Each UAV is a battery-powered hexarotor with a 220 Wh battery, carrying an RGB camera and LiDAR payload, suitable for navigation and imaging in tight spaces. The swarm must maintain a minimum 8-meter inter-UAV separation while executing an orbit pattern around designated waypoints. A passing traffic UAV and a moving spherical obstacle add complexity to collision avoidance. GNSS jamming is expected at 300 seconds, lasting 45 seconds with high severity, compounded by a comms loss window, challenging navigation and control. Key constraints include multipath effects in the urban canyon, lightning risk, dynamic obstacles, and maintaining DAA thresholds with a 25-meter separation and 15-second TTC minimum.","Fly direct west at 15m AGL, reduce speed by 30%","Descend to 10m AGL, orbit NFZ clockwise at 5m radius","Climb to 120m AGL, cross NFZ center, delay loiter start","Shift orbit radius to 60m, adjust heading into wind","Halt swarm, descend to 10m AGL, resume after jamming","Increase altitude to 110m AGL, reduce separation to 6m","Re-route eastward, maintain 45m orbit, bank 20° into wind","[""Fly direct west at 15m AGL, reduce speed by 30%"", ""Descend to 10m AGL, orbit NFZ clockwise at 5m radius"", ""Climb to 120m AGL, cross NFZ center, delay loiter start"", ""Shift orbit radius to 60m, adjust heading into wind"", ""Halt swarm, descend to 10m AGL, resume after jamming"", ""Increase altitude to 110m AGL, reduce separation to 6m"", ""Re-route eastward, maintain 45m orbit, bank 20° into wind""]",Option G maintains 8m separation and avoids the NFZ by re-routing eastward with a safe 45m orbit. Banking 20° into the 8 m/s wind compensates for drift during GNSS outage. It preserves mission timing and energy by avoiding unnecessary climbs or halts while respecting DAA thresholds. 2025-11-01T18:05:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Lost_Link_RTL_with_Lightning_Risk_8e326ed72c93_mcq.json,uavbench-mcq-v1,Urban_Canyon_Lost_Link_RTL_with_Lightning_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 300 s, comms fail; UAV must RTL within 600 s, avoid 25 m spacing breach, and conserve 30% battery.","This scenario involves an inspection mission in an urban canyon environment with a single-rotor helicopter UAV equipped with RGB camera and LiDAR payload. The UAV operates within a defined rectangular airspace bounded between 10 and 120 meters AGL, featuring a cylindrical no-fly zone near the center. Weather conditions include moderate wind from 240 degrees at 6 m/s with gusts up to 3.5 m/s and a risk of lightning, requiring careful risk management. The mission follows a corridor pattern with four waypoints, must be completed within 600 seconds, and begins at a hover near the southwest corner. At 300 seconds, a complete loss of communication triggers an automatic return-to-launch (RTL) procedure, simulating a critical link failure. The UAV must maintain separation of at least 25 meters from other air traffic and avoid a moving spherical obstacle drifting westward at 2 m/s. GNSS signals may suffer from multipath effects due to surrounding tall buildings, challenging navigation accuracy. The UAV carries a battery sufficient for 450 Wh with a 30% reserve requirement, limiting available energy for contingency maneuvers. Key performance metrics include mission success, collision avoidance, DAA breaches, final battery level, and minimum link quality during the fault window.",Ascend to 120 m for clear GNSS and direct RTL,Follow original corridor to complete inspection,Descend to 10 m to reduce wind impact and hover,Divert west to avoid no-fly zone expansion,"Proceed diagonally, minimizing path but ignoring DAA",Delay RTL to finish final waypoint imaging,Execute immediate optimized descent and RTL path,"[""Ascend to 120 m for clear GNSS and direct RTL"", ""Follow original corridor to complete inspection"", ""Descend to 10 m to reduce wind impact and hover"", ""Divert west to avoid no-fly zone expansion"", ""Proceed diagonally, minimizing path but ignoring DAA"", ""Delay RTL to finish final waypoint imaging"", ""Execute immediate optimized descent and RTL path""]","G ensures timely RTL after comms loss, adhering to 600 s limit and 30% battery reserve. It prioritizes safety by avoiding DAA breaches and dynamically adjusting for wind and obstacle drift. Other options risk battery exhaustion, collision, or mission-time violation due to poor coordination between fault response and energy-aware navigation." 2025-11-01T18:05:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Rainy_Swarm_Mapping_b59728bc2eba_mcq.json,uavbench-mcq-v1,Urban_Canyon_Rainy_Swarm_Mapping,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,E,False,"At 210 seconds, UAV-3 must reroute due to icing and a moving no-fly cylinder shifting southwest at 2.8 m/s.","This is a swarm drone mapping mission in an urban canyon environment. The airspace is constrained between 10 and 120 meters AGL with a fixed polygon geofence and two no-fly zones—one static and one moving. The mission takes place under rainy conditions with poor visibility and includes icing risks, along with moderate wind from 240 degrees at 6.5 m/s and gusts up to 3.2 m/s. Five UAVs operate as a swarm, each equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors, carrying a 0.3 kg payload. The primary mission is grid-based aerial mapping with a 10-minute time budget, requiring navigation around buildings and dynamic obstacles. Notable constraints include a moving obstacle sphere and a dynamic no-fly cylinder shifting southwest at 2.8 m/s. UAVs must maintain a minimum 10-meter inter-vehicle separation and avoid breaching the 25-meter DAA separation threshold. GNSS multipath effects are expected due to urban canyon structures, and brief communication outages occur at 150 and 300 seconds. An icing fault reduces drone performance between 200 and 260 seconds, increasing energy consumption and reducing control authority.","Climb to 115 m AGL, delay reroute until 220 s",Descend to 15 m AGL and proceed east below urban canyon,"Hold position at 60 m AGL for 10 seconds, then divert north",Accelerate west at 8 m/s to bypass cylinder before 215 s,"Descend to 40 m AGL, split swarm, rejoin after obstacle pass","Turn southwest, match cylinder velocity to minimize separation",Execute emergency descent to 10 m AGL and land at nearest pad,"[""Climb to 115 m AGL, delay reroute until 220 s"", ""Descend to 15 m AGL and proceed east below urban canyon"", ""Hold position at 60 m AGL for 10 seconds, then divert north"", ""Accelerate west at 8 m/s to bypass cylinder before 215 s"", ""Descend to 40 m AGL, split swarm, rejoin after obstacle pass"", ""Turn southwest, match cylinder velocity to minimize separation"", ""Execute emergency descent to 10 m AGL and land at nearest pad""]","Descending to 40 m AGL avoids the most severe icing near 120 m and maintains separation from the canyon base. It allows safe swarm splitting to navigate around the moving cylinder while staying within the 10–120 m AGL band and preserving VLOS compliance. Other options violate altitude limits, increase multipath risk, or breach DAA separation." 2025-11-01T18:05:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Heavy_Load_Glider_Delivery_under_Low_Visibility_bfb6e655b24a_mcq.json,uavbench-mcq-v1,Urban_Canyon_Heavy_Load_Glider_Delivery_under_Low_Visibility,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"A glider UAV must reach waypoint 3 in 280 s, avoid a moving obstacle at 65 m AGL, and maintain 25 m separation from a crossing UAV.","This scenario involves a delivery mission using a heavy-load glider UAV in an urban canyon environment. The airspace is confined between 10 and 120 meters AGL with a defined polygonal geofence and multiple no-fly zones, including a static cylinder and a moving restricted zone. Weather conditions feature poor visibility, moderate winds up to 11 m/s increasing with altitude, wind direction shifts, and icing conditions that trigger a fault event mid-mission. The UAV carries a 5 kg payload and relies on battery power, with a reserve set at 30% to ensure safe return. Sensor suite includes GNSS, IMU, radar, lidar, and thermal camera, but GNSS faces multipath errors and mild jamming, while electromagnetic interference is present. The mission follows a corridor pattern through five waypoints, requiring runway-assisted takeoff and landing at designated sites. Air traffic includes a crossing UAV, and separation assurance must maintain at least 25 meters distance with a time-to-close threshold of 15 seconds. A moving spherical obstacle drifts through the flight path, adding dynamic collision risk. Communication experiences brief uplink/downlink outages, and the environment includes thermal updrafts that could affect glide performance. The glider must manage aerodynamic limitations, including stall speed and icing-induced performance loss, to complete the mission within 600 seconds.",Climb to 110 m AGL for smoother airflow and reduced GNSS drift,Descend to 15 m AGL to minimize wind shear and save battery,Hold at waypoint 2 until the moving obstacle clears the flight path,"Reroute laterally using lidar data, maintaining 70–90 m AGL band",Accelerate through the obstacle zone at 10 m AGL to reduce exposure,"Ascend rapidly to 120 m AGL, above icing and traffic layers","Follow the original corridor, relying on thermal updrafts for energy","[""Climb to 110 m AGL for smoother airflow and reduced GNSS drift"", ""Descend to 15 m AGL to minimize wind shear and save battery"", ""Hold at waypoint 2 until the moving obstacle clears the flight path"", ""Reroute laterally using lidar data, maintaining 70–90 m AGL band"", ""Accelerate through the obstacle zone at 10 m AGL to reduce exposure"", ""Ascend rapidly to 120 m AGL, above icing and traffic layers"", ""Follow the original corridor, relying on thermal updrafts for energy""]","Rerouting laterally within the 70–90 m AGL band avoids the moving obstacle while staying clear of the 10–60 m AGL icing and wind shear layers. It maintains separation from the crossing UAV and respects geofence and timing constraints. Other options breach altitude limits, increase collision risk, or waste time and energy." 2025-11-01T18:05:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Octocopter_d134d19666f1_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Octocopter,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"At 125s, GNSS jamming hits 80% severity with 7.5 m/s winds. Should the UAV prioritize LiDAR-IMU dead reckoning or abort due to NFZ proximity and communication loss risk?","An octocopter UAV conducts an inspection mission in mountainous urban terrain with significant GNSS multipath and electromagnetic interference. The mission spans a 400m x 300m geofenced corridor with a minimum altitude of 10m AGL and a maximum of 150m AGL. Two static no-fly zones and one moving no-fly zone restrict flight paths, requiring dynamic rerouting. The UAV is equipped with GNSS, IMU, barometer, magnetometer, LiDAR, and RGB camera, but lacks thermal and radar sensors. Adverse weather includes 7.5 m/s winds from 240°, gusts up to 4.0 m/s, and two thermal updrafts affecting stability. A GNSS jamming fault occurs at 120 seconds, lasting 45 seconds with 80% severity, compounded by communication dropouts between 200–215s and 400–420s. The UAV must maintain separation of at least 25m from other traffic, with a minimum time-to-collision threshold of 15 seconds. Battery capacity is 480Wh, with a 30% reserve required, limiting available energy for maneuvering and hover. The mission must be completed within 600 seconds, with success contingent on avoiding collisions, NFZ breaches, and maintaining critical system links.",Continue using LiDAR and IMU to navigate through the corridor,Ascend to 150m AGL for better GNSS signal reception,Exit the mission immediately to preserve battery and safety,Hover in place until GNSS recovers to prevent wrong turns,Fly directly toward the nearest edge of the geofence,Activate camera to search for ground markers as navigation aid,Transmit emergency signal and descend below 10m AGL,"[""Continue using LiDAR and IMU to navigate through the corridor"", ""Ascend to 150m AGL for better GNSS signal reception"", ""Exit the mission immediately to preserve battery and safety"", ""Hover in place until GNSS recovers to prevent wrong turns"", ""Fly directly toward the nearest edge of the geofence"", ""Activate camera to search for ground markers as navigation aid"", ""Transmit emergency signal and descend below 10m AGL""]","The UAV must maintain mission integrity while ensuring safety; LiDAR-IMU fusion allows precise navigation despite GNSS loss and avoids NFZ breaches. Continuing with sensor fusion respects geofence and altitude limits, minimizes collision risk, and conserves battery. Other options either increase risk to people or property, violate operational ceilings, or waste critical energy reserves." 2025-11-01T18:05:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Satellite_Relay_with_Helicopter_UAV_5c11b834335c_mcq.json,uavbench-mcq-v1,Urban_Canyon_Satellite_Relay_with_Helicopter_UAV,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 120 m AGL, 12 m/s westerly wind, and moderate icing reducing lift by 15%, what airspeed and pitch adjustment maintains stable flight?","This mission involves a helicopter UAV performing a satellite link relay in an urban canyon environment. The airspace is constrained between 10 and 150 meters AGL, with a static no-fly zone centered at (300, 300) and a moving no-fly zone drifting at 2.5 m/s. The UAV operates under good visibility but faces icing conditions, wind increasing with altitude up to 12 m/s from the west, and moderate gusts. GNSS signals are degraded due to multipath effects and interference, with jamming at -75 dBm and brief communication outages. The helicopter, weighing 35 kg with a 1500 Wh battery, carries a 2.5 kg payload and is equipped with lidar, RGB camera, and standard navigation sensors. It must follow a corridor pattern through five waypoints while avoiding dynamic obstacles and other UAV traffic. A fault simulates moderate icing at 200 seconds, reducing performance for one minute. The UAV must maintain separation of at least 25 meters from traffic and avoid geofence or altitude violations. The mission ends at the spawn point, with success measured by completion, safety, and system performance metrics.",Increase airspeed to 35 m/s and pitch up 8°,Decrease airspeed to 20 m/s and pitch up 12°,Maintain 28 m/s and pitch down 2°,Increase airspeed to 40 m/s and pitch down 5°,Reduce airspeed to 18 m/s and hold level pitch,Maintain 28 m/s and pitch up 10°,Decrease airspeed to 22 m/s and pitch up 6°,"[""Increase airspeed to 35 m/s and pitch up 8°"", ""Decrease airspeed to 20 m/s and pitch up 12°"", ""Maintain 28 m/s and pitch down 2°"", ""Increase airspeed to 40 m/s and pitch down 5°"", ""Reduce airspeed to 18 m/s and hold level pitch"", ""Maintain 28 m/s and pitch up 10°"", ""Decrease airspeed to 22 m/s and pitch up 6°""]","Increased airspeed compensates for reduced lift due to icing by raising dynamic pressure. A moderate pitch-up increases angle of attack without approaching stall, balancing lift and drag. Higher altitude wind requires thrust adjustment to maintain ground track and control." 2025-11-01T18:05:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Satellite_Relay_with_Convertiplane_d41e7b1ff4c0_mcq.json,uavbench-mcq-v1,Urban_Canyon_Satellite_Relay_with_Convertiplane,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 120s, GNSS jamming hits at -75 dBm in snow with 7.5 m/s wind. Which navigation strategy maintains integrity?","This scenario involves a convertiplane UAV conducting a satellite link relay mission in an urban canyon environment. The airspace is constrained between 10 and 120 meters AGL, with a defined polygon geofence and static no-fly zones, including a dynamic moving exclusion zone. Weather conditions include moderate wind at 7.5 m/s from 240 degrees, gusts up to 4.2 m/s, poor visibility, and ongoing snowfall, with wind increasing and shifting direction at higher altitudes. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors, but faces GNSS multipath, electromagnetic interference, and a jamming threat at -75 dBm. A critical mission constraint is maintaining separation from a single intruder UAV and a moving spherical obstacle while adhering to a 25-meter minimum DAA separation threshold. The UAV must complete a corridor-style waypoint mission within 600 seconds, requiring a runway takeoff and landing, with defined transition times between VTOL and forward flight. Battery capacity is 650 Wh, with a 30% reserve requirement, and energy use is impacted by wind and snow-induced icing. Communication downlink is initially failed, with additional planned loss windows, challenging telemetry and control. The mission includes injected faults: a GNSS jamming event at 120 seconds and an icing event at 300 seconds, testing resilience in harsh, realistic urban conditions.",Switch entirely to IMU dead reckoning with zero updates,Rely solely on lidar SLAM in poor visibility urban canyon,"Fuse IMU and visual odometry, down-weighting GNSS",Increase reliance on magnetic heading due to GNSS loss,"Use GNSS exclusively, ignoring jamming signal strength",Disable sensor fusion and track waypoints open-loop,Trust lidar alone for position when visibility drops below 100m,"[""Switch entirely to IMU dead reckoning with zero updates"", ""Rely solely on lidar SLAM in poor visibility urban canyon"", ""Fuse IMU and visual odometry, down-weighting GNSS"", ""Increase reliance on magnetic heading due to GNSS loss"", ""Use GNSS exclusively, ignoring jamming signal strength"", ""Disable sensor fusion and track waypoints open-loop"", ""Trust lidar alone for position when visibility drops below 100m""]",GNSS jamming at -75 dBm invalidates satellite reliance; IMU drift must be corrected. Visual odometry and IMU fusion compensates for GNSS loss while mitigating lidar degradation in snow. This maintains navigation integrity within urban canyon constraints. 2025-11-01T18:05:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Lost_Link_RTL_with_Thermal_Updrafts_dc2a25e78f4a_mcq.json,uavbench-mcq-v1,Urban_Canyon_Lost_Link_RTL_with_Thermal_Updrafts,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 320 s, lost link triggers RTL; UAV must avoid dynamic obstacle, second UAV at 12 m/s westbound, and return within 10-min window.","This is an inspection mission in an urban canyon environment using a single battery-powered helicopter UAV equipped with thermal and RGB cameras, LiDAR, and standard navigation sensors. The UAV operates within a defined rectangular airspace bounded between 10 and 120 meters AGL, with a static no-fly zone over a cylinder near the center and a moving no-fly zone drifting northwest. Two thermal updrafts are present, creating localized vertical air currents that may affect flight dynamics. Winds are from 240 degrees at 6.5 m/s with gusts up to 3.2 m/s, and visibility is good. GNSS signals suffer from multipath effects and moderate jamming at -95 dBm, with additional electromagnetic interference impacting communications. At 320 seconds into the mission, a lost link fault triggers, cutting uplink and downlink for one minute, forcing the UAV into RTL mode. The UAV must maintain separation from a dynamic obstacle moving slowly through the airspace and avoid a second UAV traveling westbound at 12 m/s. The planned mission includes five waypoints flown in a corridor pattern, with a time budget of 10 minutes and a return to the preferred landing site unless overridden. Battery reserve is set to 30%, and performance metrics include monitoring NFZ clearance, GNSS outages, collision risks, and mission success. Notable constraints include communication loss, sensor degradation, dynamic obstacles, and complex airflow in dense urban terrain.",Climb to 120 m AGL for GNSS clarity and direct RTL,Descend to 10 m AGL to evade moving UAV and obstacle,Hold position at 65 m AGL until link restored at 380 s,Proceed to nearest waypoint before initiating RTL,Divert to alternate landing site due to battery below 30%,Accelerate westbound below 12 m/s to trail second UAV,Execute preplanned descent gradient of 5° toward home,"[""Climb to 120 m AGL for GNSS clarity and direct RTL"", ""Descend to 10 m AGL to evade moving UAV and obstacle"", ""Hold position at 65 m AGL until link restored at 380 s"", ""Proceed to nearest waypoint before initiating RTL"", ""Divert to alternate landing site due to battery below 30%"", ""Accelerate westbound below 12 m/s to trail second UAV"", ""Execute preplanned descent gradient of 5° toward home""]","G ensures energy-efficient, predictable return under lost link while maintaining separation from the westbound UAV and dynamic obstacle. It aligns with RTL logic, avoids aggressive maneuvers in degraded GNSS, and preserves battery margin. Other options increase collision risk, violate altitude bounds, or extend mission time unnecessarily." 2025-11-01T18:05:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_GNSS_Challenge_with_Octocopter_22d1fe2ea928_mcq.json,uavbench-mcq-v1,Urban_Canyon_GNSS_Challenge_with_Octocopter,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"Octocopter with 0.7 kg payload faces 30% battery reserve, GNSS jamming, and 600-second limit in gusty winds; what action balances energy, safety, and navigation?","This is an urban inspection mission using an octocopter equipped with GNSS, IMU, lidar, and RGB camera. The flight occurs in a rural airspace with good visibility but features strong winds from the southwest and gusty conditions. The environment includes significant GNSS multipath effects and electromagnetic interference, with a simulated GNSS jamming fault occurring mid-mission. The UAV must navigate a predefined corridor pattern within a geofenced rectangular area, avoiding a cylindrical no-fly zone centered in the zone. A second UAV and a moving spherical obstacle create dynamic traffic hazards requiring separation management. The octocopter carries a 0.7 kg payload and operates under strict battery constraints with a 30% reserve requirement. The mission must be completed within 600 seconds, starting from a designated spawn point and aiming to return to a preferred landing site. Communication links experience two brief downlink loss windows, and continuous monitoring of signal strength is required. Key performance metrics include NFZ clearance, collision avoidance, battery endurance, and maintaining safe separation from traffic.",Climb to 60 m for clearer GNSS signals despite higher energy use,Descend to 20 m to reduce wind impact but risk multipath interference,"Maintain 40 m altitude, switch to lidar-IMU, and slow speed by 15%",Halt propulsion for 20 s to recalibrate sensors during jamming,"Divert to landing site early, sacrificing mission completion",Accelerate by 25% to finish before battery drops below 30%,Follow shortest path ignoring dynamic obstacles to save time,"[""Climb to 60 m for clearer GNSS signals despite higher energy use"", ""Descend to 20 m to reduce wind impact but risk multipath interference"", ""Maintain 40 m altitude, switch to lidar-IMU, and slow speed by 15%"", ""Halt propulsion for 20 s to recalibrate sensors during jamming"", ""Divert to landing site early, sacrificing mission completion"", ""Accelerate by 25% to finish before battery drops below 30%"", ""Follow shortest path ignoring dynamic obstacles to save time""]","Maintaining 40 m balances wind exposure and GNSS multipath while lidar-IMU fusion ensures navigation during jamming. Reducing speed conserves energy and improves control in gusts, preserving battery for return. This option satisfies safety, endurance, and mission completion under cross-domain constraints." 2025-11-01T18:05:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Search_and_Rescue_with_Solar_Wing_UAV_10d33c1095de_mcq.json,uavbench-mcq-v1,Urban_Canyon_Search_and_Rescue_with_Solar_Wing_UAV,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 110 m AGL, 15 m/s winds, and GNSS jamming at -75 dBm, what action minimizes collision risk while staying in approved airspace?","This is a search and rescue mission in an urban canyon environment with high-rise buildings creating complex airflow and navigation challenges. The UAV operates within a defined airspace polygon from 10 to 120 meters AGL, avoiding static and moving no-fly zones. Weather conditions include strong winds up to 15 m/s increasing with altitude, poor visibility due to dust, and gusts adding turbulence. A solar wing fixed-wing UAV equipped with RGB and thermal cameras, LiDAR, and full sensor suite is used for detection and navigation. The UAV faces significant GNSS signal degradation due to multipath effects and moderate jamming at -75 dBm, compounded by electromagnetic interference. A dynamic no-fly zone moves through the area, and a drifting spherical obstacle adds real-time collision risk. Air traffic includes another UAV flying through the operational zone, requiring separation maintenance of at least 25 meters. Communication experiences brief uplink/downlink outages, and the mission must be completed within a 600-second time budget. The UAV must balance energy use carefully, given battery limitations and reserve requirements, while returning to a preferred landing site.",Descend to 80 m AGL and continue search pattern,Climb to 130 m AGL for stronger GNSS signal,Hold position at 110 m AGL until dynamic NFZ passes,Fly directly toward drifting obstacle for identification,Land immediately at nearest available site,Increase speed to 25 m/s to exit urban canyon,Execute lateral 30 m avoidance maneuver then reassess,"[""Descend to 80 m AGL and continue search pattern"", ""Climb to 130 m AGL for stronger GNSS signal"", ""Hold position at 110 m AGL until dynamic NFZ passes"", ""Fly directly toward drifting obstacle for identification"", ""Land immediately at nearest available site"", ""Increase speed to 25 m/s to exit urban canyon"", ""Execute lateral 30 m avoidance maneuver then reassess""]","Climbing violates the 120 m AGL ceiling, descending reduces obstacle clearance in turbulent winds, and holding or slowing increases collision risk. G avoids the drifting obstacle while maintaining energy, separation, and position within the operational altitude band, complying with all airspace and safety constraints." 2025-11-01T18:05:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Swarm_Coordination_with_Thermal_Updrafts_0fc143212b81_mcq.json,uavbench-mcq-v1,Urban_Canyon_Swarm_Coordination_with_Thermal_Updrafts,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"During the 120–130s comms dropout, how should the relay UAV adjust position relative to the leader at (90,60) with 15m separation and GNSS degradation?","Fixed-wing UAV swarm mission for urban mapping in a dense city canyon environment. Operating at altitudes between 10 and 120 meters AGL within a defined rectangular geofence. Moderate winds of 6 m/s at 135° with gusts up to 3.5 m/s, increasing with altitude and shifting direction. Thermal updrafts present, including a localized plume at (120,80) with 2 m/s upward velocity. Equipped with GNSS, IMU, lidar, and RGB camera; no thermal imaging or radar onboard. Payload adds 0.7 kg with minimal drag, optimized for aerodynamic efficiency. No-fly zones include a static cylinder near the center and a moving exclusion zone drifting at 2.5 m/s. GNSS signals degraded by multipath effects and mild jamming at -75 dBm, with electromagnetic interference. Swarm of four UAVs coordinates with 15-meter minimum separation, roles include leader, follower, relay, and scout. Mission requires runway-aligned takeoff and landing, with communication dropouts simulated between 120–130s and 450–465s.",Move 20m ahead to capture leader's lost signals,"Hold position at (105,75) to maintain swarm triangle formation",Descend to 10m AGL to reduce wind interference and signal bounce,Ascend to 120m to maximize line-of-sight with scout UAV,Drift with wind to conserve energy during signal loss,Close to 10m behind leader to boost data retransmission,"Position at (75,45) maintaining 15m diagonal offset and communication buffer","[""Move 20m ahead to capture leader's lost signals"", ""Hold position at (105,75) to maintain swarm triangle formation"", ""Descend to 10m AGL to reduce wind interference and signal bounce"", ""Ascend to 120m to maximize line-of-sight with scout UAV"", ""Drift with wind to conserve energy during signal loss"", ""Close to 10m behind leader to boost data retransmission"", ""Position at (75,45) maintaining 15m diagonal offset and communication buffer""]","During GNSS degradation and comms dropout, the relay must preserve connectivity without violating 15m separation. Positioning at (75,45) maintains geometric diversity and upwind buffer, ensuring the leader remains within retransmission range post-dropout. Other options risk collision, signal loss, or formation breakup under wind drift and multipath." 2025-11-01T18:05:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Thermal_Mapping_with_Solar_Glider_77dae313a67f_mcq.json,uavbench-mcq-v1,Urban_Canyon_Thermal_Mapping_with_Solar_Glider,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"At 95m AGL, 14 m/s wind, and 38% battery, how should the UAV prioritize thermal updrafts while maintaining 25m separation from a crossing UAV?","Mission involves thermal mapping in an urban canyon environment using a solar-powered glider UAV equipped with RGB and thermal cameras. The airspace is confined between 10 and 120 meters AGL with a defined polygonal geofence and static as well as moving no-fly zones. Winds are moderate to strong, increasing with altitude and shifting direction, reaching 14 m/s at 100 meters. Thermal updrafts are present and exploitable for lift, particularly near designated plume centers. The UAV must avoid GNSS multipath effects and electromagnetic interference common in urban canyons, with additional GNSS jamming at -75 dBm. A dynamic no-fly zone moves through the airspace, requiring real-time path adaptation. The mission requires runway-aligned takeoff and landing, with preferred and emergency landing sites specified. Air traffic includes another UAV flying cross-path, necessitating DAA compliance with 25-meter separation and 15-second TTC thresholds. Communication suffers intermittent uplink/downlink losses at specific simulation times, impacting control reliability. Battery endurance is critical, with reserve fraction set to 30% and energy consumption influenced by drag and manoeuvring.",Climb to 120m for stronger updrafts despite GNSS jamming,Descend to 10m to avoid wind but risk multipath interference,"Drift with wind to save energy, accepting reduced mapping accuracy","Turn 180° immediately to evade crossing UAV, increasing drag","Adjust heading to parallel path, minimizing closure rate and energy use","Circle near plume center, trading altitude for thermal lift","Dive rapidly toward emergency landing, depleting battery faster","[""Climb to 120m for stronger updrafts despite GNSS jamming"", ""Descend to 10m to avoid wind but risk multipath interference"", ""Drift with wind to save energy, accepting reduced mapping accuracy"", ""Turn 180° immediately to evade crossing UAV, increasing drag"", ""Adjust heading to parallel path, minimizing closure rate and energy use"", ""Circle near plume center, trading altitude for thermal lift"", ""Dive rapidly toward emergency landing, depleting battery faster""]","E balances aerodynamic efficiency, energy conservation, and DAA compliance by minimizing closure rate without aggressive maneuvers. It avoids high-altitude GNSS jamming and low-altitude multipath while preserving battery above 30% reserve. Other options violate safety, navigation integrity, or energy constraints under urban canyon dynamics." 2025-11-01T18:05:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_VTOL_Inspection_Mission_c0ed6211a341_mcq.json,uavbench-mcq-v1,Urban_Canyon_VTOL_Inspection_Mission,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"With GNSS jammed for 30s and 12 m/s winds at 50m, which navigation strategy maintains position within 25m separation and 600s mission time?","This is an urban canyon VTOL inspection mission in an industrial plant environment. The UAV is a tiltrotor VTOL with a battery-powered propulsion system and a 0.7 kg payload equipped with RGB camera and LiDAR. It operates under windy conditions with surface winds at 8 m/s from 210°, increasing to 12 m/s at 50 m altitude with gusts and shifting direction. The mission is constrained by a polygonal geofence and includes two no-fly zones—one static and one dynamic moving slowly through the area. GNSS signals are degraded due to multipath effects and electromagnetic interference, with a simulated jamming event reducing signal quality for 30 seconds. The UAV must maintain separation of at least 25 meters from other traffic, with a distant intruder UAV entering the airspace from outside the geofence. Flight altitude is restricted between 5 m and 60 m AGL, and the vehicle must use a designated runway for takeoff and landing. Communication links experience two brief loss windows, and sensor faults include GNSS jamming and IMU bias injection. The mission requires completing a corridor inspection pattern within 600 seconds while avoiding obstacles, including a moving spherical obstacle. Battery reserves are set at 30%, and successful completion depends on energy management, fault resilience, and adherence to airspace constraints.","Use GNSS exclusively during jamming, ignore IMU bias",Switch to pure IMU dead reckoning for entire jamming period,Fuse LiDAR with visual odometry and corrected IMU during jamming,Rely on uncorrected IMU and magnetic heading during wind gusts,Descend to 5m and halt operations until GNSS returns,Trust degraded GNSS with no sensor fusion adjustment,Use visual-inertial fusion but ignore wind-induced motion bias,"[""Use GNSS exclusively during jamming, ignore IMU bias"", ""Switch to pure IMU dead reckoning for entire jamming period"", ""Fuse LiDAR with visual odometry and corrected IMU during jamming"", ""Rely on uncorrected IMU and magnetic heading during wind gusts"", ""Descend to 5m and halt operations until GNSS returns"", ""Trust degraded GNSS with no sensor fusion adjustment"", ""Use visual-inertial fusion but ignore wind-induced motion bias""]",LiDAR provides precise obstacle-relative positioning unaffected by GNSS jamming or wind. Fusing with visual odometry and bias-corrected IMU maintains drift-free navigation in urban canyon. This maximizes environmental awareness and meets separation and timing constraints despite sensor faults and wind turbulence. 2025-11-01T18:05:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_VTOL_Navigation_with_Strong_Crosswinds_66d605b508f7_mcq.json,uavbench-mcq-v1,Urban_Canyon_VTOL_Navigation_with_Strong_Crosswinds,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"At 150m altitude with 16 m/s crosswinds and GNSS jamming at -75 dBm, which action balances stability, navigation, and energy for tiltrotor inspection?","This mission involves a VTOL tiltrotor UAV conducting an inspection in mountainous urban terrain. The flight occurs within a 300x300 meter geofenced airspace with a minimum altitude of 10 meters AGL and a maximum of 180 meters. Strong crosswinds from the west intensify with altitude, reaching up to 18 m/s at 200 meters, with significant gusts adding turbulence. The UAV carries an RGB camera payload for visual inspection and relies on GNSS, IMU, and LIDAR for navigation. GNSS performance is degraded due to multipath effects and moderate jamming at -75 dBm, compounded by electromagnetic interference. A static no-fly zone blocks the central area, while a second dynamic no-fly zone moves southwest, requiring real-time avoidance. Air traffic includes another UAV approaching from the north, and a moving spherical obstacle travels westward at 3 m/s. The mission requires runway-assisted takeoff and landing, with a preferred landing site in the southeast and emergency options in the northeast and southwest. Communication experiences brief uplink/downlink outages between 120–135 and 400–410 seconds, with minimum RSSI at -85 dBm. The UAV must complete its corridor-style waypoint route within 600 seconds while maintaining separation, avoiding stalls, and preserving battery reserves.",Descend to 20m to reduce wind exposure and conserve battery,Climb to 170m for clearer GNSS and smoother airflow,Maintain 150m with increased rotor thrust for lateral stability,Turn east to use terrain shielding while increasing speed,Hover at reduced power to wait for wind gusts to subside,Switch to full fixed-wing mode to minimize drag and save energy,Retract landing gear and adjust tilt angle for 10° nose-up,"[""Descend to 20m to reduce wind exposure and conserve battery"", ""Climb to 170m for clearer GNSS and smoother airflow"", ""Maintain 150m with increased rotor thrust for lateral stability"", ""Turn east to use terrain shielding while increasing speed"", ""Hover at reduced power to wait for wind gusts to subside"", ""Switch to full fixed-wing mode to minimize drag and save energy"", ""Retract landing gear and adjust tilt angle for 10° nose-up""]","Descending risks proximity to terrain and no-fly zones; climbing worsens wind load and power use. Option D leverages terrain shielding to reduce gust impact, maintains forward progress within geofence, and preserves energy while compensating for degraded GNSS with LIDAR/IMU. It balances aerodynamic stability, navigation reliability, and mission timing under crosswind and jamming constraints." 2025-11-01T18:05:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_VTOL_Icing_Challenge_7d132f22bf58_mcq.json,uavbench-mcq-v1,Urban_Canyon_VTOL_Icing_Challenge,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"At 200s, icing reduces efficiency 40% for 60s; battery at 45%. Which action best preserves mission and return?","This mission involves a VTOL tiltrotor UAV conducting an inspection in a suburban urban canyon environment. The airspace is constrained between 10 and 120 meters AGL with a static no-fly zone and a moving no-fly zone drifting westward. Weather includes poor visibility, moderate winds increasing with altitude, and icing conditions that temporarily degrade performance. The UAV is equipped with GNSS, IMU, barometer, magnetometer, LiDAR, and RGB camera, but faces GNSS multipath, jamming, and electromagnetic interference. It must follow a corridor inspection pattern across four waypoints while managing battery reserves and transitioning between hover and forward flight. A second UAV and a moving spherical obstacle introduce dynamic collision risks. Separation monitoring is required with a 25-meter threshold and 15-second time-to-collision alert. The mission demands a runway approach for landing and includes communication dropouts between 150–160 and 320–335 seconds. An icing event at 200 seconds reduces efficiency by 40% for one minute, challenging flight stability and energy use.",Increase speed to exit icing zone faster,Climb to warmer altitude above wind shear,Descend to lower altitude with less wind,Enter hover mode to stabilize attitude,Reduce LiDAR power and shorten inspection path,Switch to full RGB streaming for visibility,Accelerate toward landing to minimize exposure,"[""Increase speed to exit icing zone faster"", ""Climb to warmer altitude above wind shear"", ""Descend to lower altitude with less wind"", ""Enter hover mode to stabilize attitude"", ""Reduce LiDAR power and shorten inspection path"", ""Switch to full RGB streaming for visibility"", ""Accelerate toward landing to minimize exposure""]","Reducing LiDAR power saves energy during high-consumption icing, while shortening the path conserves battery for return. Other options increase power use or risk collision. This balances sensor utility and endurance under degraded performance." 2025-11-01T18:05:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_VTOL_Challenge_with_Hail_885c9df7e331_mcq.json,uavbench-mcq-v1,Urban_Canyon_VTOL_Challenge_with_Hail,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"A VTOL UAV faces 15 m/s winds, hail, and GNSS jamming at 120 m AGL during a 600-second urban inspection. What action minimizes risk while ensuring landing?","This is an urban inspection mission using a VTOL tiltrotor UAV in a suburban airspace with complex wind conditions and hail. The UAV is equipped with GNSS, IMU, lidar, and RGB camera for navigation and payload tasks. Strong winds increase to 15 m/s at higher altitudes, shifting direction with height, and poor visibility due to hail creates challenging flight conditions. The flight envelope is bounded between 5 and 120 meters AGL, with a static no-fly zone near the center and a moving no-fly zone drifting diagonally. GNSS multipath and periodic jamming degrade positioning accuracy, compounded by electromagnetic interference. The UAV must follow a corridor inspection pattern with multiple waypoints, requiring transition between hover and forward flight. A second UAV and a moving spherical obstacle introduce dynamic collision risks, requiring DAA compliance with 25-meter separation. Flight time is limited to 600 seconds, with battery reserves and fault events including GNSS jamming and icing. The mission requires a runway approach for landing and faces communication dropouts, demanding robust autonomy and risk mitigation.",Climb to 120 m AGL for clearer GNSS signals,Descend to 30 m AGL and continue inspection,Divert immediately to runway at 100 m AGL,Hover at 80 m AGL until jamming subsides,Proceed to next waypoint at 120 m AGL,Descend to 5 m AGL and crawl to runway,Accelerate forward flight at 110 m AGL,"[""Climb to 120 m AGL for clearer GNSS signals"", ""Descend to 30 m AGL and continue inspection"", ""Divert immediately to runway at 100 m AGL"", ""Hover at 80 m AGL until jamming subsides"", ""Proceed to next waypoint at 120 m AGL"", ""Descend to 5 m AGL and crawl to runway"", ""Accelerate forward flight at 110 m AGL""]","Descending to 30 m AGL reduces exposure to strong winds and icing while staying above minimum altitude, mitigating GNSS multipath near ground. It maintains mission progress with safer energy and separation margins. Other options violate altitude, increase icing risk, or ignore dynamic obstacles and endurance limits." 2025-11-01T18:05:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Swarm_Coordination_in_Extreme_Heat_82aacabcb147_mcq.json,uavbench-mcq-v1,Urban_Canyon_Swarm_Coordination_in_Extreme_Heat,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During GNSS jamming from 320–365s, which action maintains navigation integrity and swarm coordination?","This scenario involves a swarm of four UAVs conducting an urban inspection mission in a dense urban canyon environment. The hexacopters operate within a 200m x 200m airspace, with altitude restricted between 10m and 120m AGL. The area features extreme heat causing heat haze, moderate winds from the southwest, and gusts up to 4.5 m/s, impacting stability and sensor performance. Each UAV is equipped with GNSS, IMU, lidar, and RGB cameras, supporting coordination and navigation in cluttered surroundings. A static no-fly zone blocks the central area, while a dynamic no-fly cylinder moves through the airspace, requiring real-time avoidance. The swarm must maintain a minimum 10m inter-UAV separation and avoid a moving spherical obstacle drifting southward. A concurrent UAV flies through the area, increasing collision risk, with DAA systems monitoring for breaches using 15m and 10s thresholds. GNSS jamming and communication loss occur between 320–365 seconds, challenging navigation and control during critical phases. The mission requires completing a corridor inspection pattern within 600 seconds, with battery endurance and fault resilience as key constraints. Swarming roles include leader, followers, and a relay node to maintain communication integrity in obstructed line-of-sight conditions.",Continue using GNSS despite signal anomalies,Switch to lidar-IMU dead reckoning with encrypted state sharing,Rely solely on RGB optical flow for positioning,Broadcast unencrypted position updates every 2s,Accept all relayed commands without authentication,Disengage DAA systems to reduce processing load,Hover using IMU-only data without cross-verification,"[""Continue using GNSS despite signal anomalies"", ""Switch to lidar-IMU dead reckoning with encrypted state sharing"", ""Rely solely on RGB optical flow for positioning"", ""Broadcast unencrypted position updates every 2s"", ""Accept all relayed commands without authentication"", ""Disengage DAA systems to reduce processing load"", ""Hover using IMU-only data without cross-verification""]","Lidar-IMU fusion provides resilient positioning during GNSS denial, preserving control stability. Encrypted state sharing ensures data integrity and secure swarm coordination. This balances cyber-security and physical navigation under jamming." 2025-11-01T18:05:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Canyon_Waypoint_Survey_c9f3cdda6052_mcq.json,uavbench-mcq-v1,Urban_Canyon_Waypoint_Survey,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 60 m altitude with 6 m/s wind from 120°, what minimizes power while maintaining lift and avoiding sideslip?","This is a waypoint survey mission in an urban canyon environment with moderate wind of 6 m/s from 120 degrees and gusts up to 3.5 m/s. The UAV is a quadrotor weighing 2.5 kg with a 250 Wh battery, carrying an RGB camera and LiDAR payload. It operates within a 100x100 meter urban airspace bounded by buildings, with a minimum altitude of 5 m and maximum of 60 m AGL. A static no-fly zone is present near (30,30) and a moving no-fly cylinder drifts through (70,70) at 1.8 m/s. The UAV must avoid a drifting spherical obstacle near (60,60) and maintain separation from another UAV moving west at 8 m/s. GNSS signals may suffer from multipath due to surrounding structures, and brief communication dropouts are expected at 120 and 400 seconds. The mission requires navigating a corridor pattern through five waypoints within 600 seconds while conserving battery with a 30% reserve. Collision avoidance is critical due to dynamic obstacles and proximity to buildings, with a 10-meter separation threshold. The UAV starts at (10,10,15) facing east and must return to its starting zone or an emergency site if needed.","Increase throttle, reduce pitch, and yaw left","Decrease throttle, increase pitch, and bank right","Maintain thrust, level roll, and crab 15° right",Cut motor power and descend vertically,Maximize pitch to 15° and hold heading,Hover with zero forward speed and full yaw,Bank 30° into wind with 10% thrust boost,"[""Increase throttle, reduce pitch, and yaw left"", ""Decrease throttle, increase pitch, and bank right"", ""Maintain thrust, level roll, and crab 15° right"", ""Cut motor power and descend vertically"", ""Maximize pitch to 15° and hold heading"", ""Hover with zero forward speed and full yaw"", ""Bank 30° into wind with 10% thrust boost""]","Crabbing 15° right aligns the UAV's heading with the resultant relative wind, maintaining course over ground with minimal sideslip drag. Level roll and balanced thrust reduce induced drag and motor load, preserving battery. Other options either increase drag, risk instability, or violate lift-thrust equilibrium in crosswind." 2025-11-01T18:05:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Package_Delivery_with_Thermal_Updrafts_f3c0dfb513d8_mcq.json,uavbench-mcq-v1,Urban_Package_Delivery_with_Thermal_Updrafts,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,E,False,"Deliver a 2 kg package in 600 s, avoid a central NFZ, and land on the designated runway with 30% battery reserve.","This is an urban package delivery mission using a convertiplane UAV in a city canyon environment. The UAV carries a 2 kg payload and is equipped with GNSS, IMU, camera, lidar, and other standard sensors but lacks thermal imaging. Flight occurs between 10 and 120 meters AGL within a defined polygonal airspace that includes a no-fly zone around a cylinder near the center. The mission must be completed within 600 seconds, requiring use of a designated runway for takeoff and landing. Winds increase with altitude, reaching 11 m/s from the west at 100 meters, and thermal updrafts create localized lift zones that can affect flight dynamics. GNSS signals are degraded due to multipath effects and moderate jamming, while electromagnetic interference is present. The UAV must avoid static and moving obstacles, maintain separation from other air traffic by at least 25 meters, and handle brief communication loss periods. Battery capacity is limited to 1200 Wh with a 30% reserve, and flight performance is influenced by drag, manoeuvring energy costs, and wind conditions.",Fly at 120 m AGL to maximize thermal lift and reduce energy use,"Fly direct at 80 m AGL, ignoring GNSS degradation in canyons","Climb to 100 m, ride west wind eastward to save time and power","Descend to 10 m AGL, hug buildings to avoid wind, then proceed","Divert around NFZ at 60 m AGL, maintain VLOS, monitor separation",Proceed through NFZ center to save 45 seconds and meet time limit,"Land immediately at nearest zone, abort mission after 300 s","[""Fly at 120 m AGL to maximize thermal lift and reduce energy use"", ""Fly direct at 80 m AGL, ignoring GNSS degradation in canyons"", ""Climb to 100 m, ride west wind eastward to save time and power"", ""Descend to 10 m AGL, hug buildings to avoid wind, then proceed"", ""Divert around NFZ at 60 m AGL, maintain VLOS, monitor separation"", ""Proceed through NFZ center to save 45 seconds and meet time limit"", ""Land immediately at nearest zone, abort mission after 300 s""]","E avoids the NFZ, operates within the safe AGL band to reduce wind and multipath effects, and preserves battery while maintaining separation. Other options violate the NFZ, increase risk from wind or signal loss, or waste energy. E balances time, safety, and endurance within all constraints." 2025-11-01T18:05:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/High_Crosswind_Training_in_Jungle_Fog_d132220ed49e_mcq.json,uavbench-mcq-v1,High_Crosswind_Training_in_Jungle_Fog,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"With 450Wh battery, 30% reserve, and 9.5 m/s crosswinds, how should the UAV optimize energy for the grid survey?","This is a UAV survey mission in a jungle environment with poor visibility due to fog. The octocopter is equipped with GNSS, IMU, lidar, and RGB camera for navigation and data collection. Strong crosswinds of 9.5 m/s from 260 degrees, with gusts up to 4.2 m/s, challenge flight stability. The mission operates within a 400m x 300m polygonal airspace, with altitude restricted between 10m and 120m AGL. A cylindrical no-fly zone 30m in radius and 10–60m high is located at the center, requiring careful path planning. The UAV must complete a grid survey pattern while avoiding a moving spherical obstacle drifting east at 2 m/s. A second UAV is present in the airspace, moving east at 7 m/s, necessitating separation monitoring with a 25m minimum distance and 15s time-to-close threshold. Communication experiences a brief uplink/downlink loss between 120–135 seconds, requiring robust autonomy. The UAV starts with a full 450Wh battery and must manage energy with a 30% reserve requirement. Mission success depends on completing the survey within 600 seconds while avoiding collisions, geofence breaches, and separation violations.",Fly fastest speed to minimize wind exposure time,"Reduce lidar frequency to save power, accept lower data density",Climb to 120m for better GNSS signal and coverage,Hover every 60s to recalibrate IMU and stabilize,Increase camera frame rate for better fog penetration,Circle no-fly zone to use uplink loss for computation offload,Descend to 10m AGL to reduce wind resistance and power use,"[""Fly fastest speed to minimize wind exposure time"", ""Reduce lidar frequency to save power, accept lower data density"", ""Climb to 120m for better GNSS signal and coverage"", ""Hover every 60s to recalibrate IMU and stabilize"", ""Increase camera frame rate for better fog penetration"", ""Circle no-fly zone to use uplink loss for computation offload"", ""Descend to 10m AGL to reduce wind resistance and power use""]","Reducing lidar frequency cuts power use without sacrificing navigation, preserving energy for critical flight stability in strong winds. It balances data quality with the 30% reserve and 600s timeline. Other options increase consumption or add unnecessary risk." 2025-11-01T18:05:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Powerline_Inspection_with_Amphibious_UAV_in_Hot_Conditions_9b6f888a74cf_mcq.json,uavbench-mcq-v1,Urban_Powerline_Inspection_with_Amphibious_UAV_in_Hot_Conditions,minimax/minimax-m1,9,Comparative System Reasoning,7,?,E,False,"Which UAV configuration best ensures mission success within 600 s, 850 Wh, 0.7 kg payload, and 3.1 m/s moving no-fly zone?","This mission involves an urban powerline inspection using an amphibious fixed-wing VTOL UAV equipped with RGB and thermal cameras, operating in dense urban airspace with high temperatures and strong winds. The UAV has a battery capacity of 850 Wh and carries a 0.7 kg payload, flying at speeds up to 22 m/s with a maximum tilt of 35 degrees. The environment features variable wind conditions, increasing with altitude, and includes thermal updrafts that can affect flight stability. GNSS signals are degraded due to multipath effects and moderate jamming at -75 dBm, compounded by electromagnetic interference. The flight is confined within a defined polygonal geofence, with a static no-fly zone near the center and a moving no-fly zone drifting at 3.1 m/s. A dynamic spherical obstacle moves through the inspection corridor, requiring real-time avoidance. Air traffic includes a crossing UAV at 15 m/s, and separation standards mandate a minimum 25-meter distance and 15-second time-to-collision threshold. The UAV must complete a corridor-style waypoint mission within 600 seconds, transitioning between hover and forward flight, and requires a runway for landing. Communication experiences brief downlink outages, and the return path must account for emergency landing options outside the primary site. Battery reserve is set at 30%, and mission success depends on avoiding NFZ breaches, collisions, and maintaining GNSS and link integrity.",High-efficiency propellers with reduced hover stability,Dual GNSS modules with increased power draw,Lightweight frame with lower wind resistance tolerance,"Extra battery for margin, reducing thermal camera use",Optimized tilt transition logic with predictive wind compensation,Fixed-pitch rotor saving weight but limiting control authority,Centralized processor causing 200 ms sensor latency,"[""High-efficiency propellers with reduced hover stability"", ""Dual GNSS modules with increased power draw"", ""Lightweight frame with lower wind resistance tolerance"", ""Extra battery for margin, reducing thermal camera use"", ""Optimized tilt transition logic with predictive wind compensation"", ""Fixed-pitch rotor saving weight but limiting control authority"", ""Centralized processor causing 200 ms sensor latency""]","E balances energy use, control, and environmental adaptability by optimizing transitions and compensating for wind. It maintains GNSS integrity and avoids dynamic obstacles through responsive flight logic. Other options sacrifice critical stability, sensing, or responsiveness under mission constraints." 2025-11-01T18:05:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Pipeline_Inspection_in_Sandstorm_c2e8ebf93132_mcq.json,uavbench-mcq-v1,Urban_Pipeline_Inspection_in_Sandstorm,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"At 205s, GNSS jamming and downlink loss occur; visibility is 40m, wind gusts hit 4 m/s. Which navigation strategy maintains accuracy and safety?","This is an urban pipeline inspection mission using a quadrotor UAV equipped with RGB camera and LiDAR payload. The flight occurs in a dense urban canyon environment with narrowly spaced buildings and restricted airspace. A severe sandstorm reduces visibility and introduces significant wind gusts up to 4 m/s from the southwest. The UAV must navigate below 60 meters AGL while avoiding a cylindrical no-fly zone centered at (50, 40) with a 10-meter radius. The mission follows a corridor pattern through predefined waypoints within a 100m x 80m geofenced area. An interfering GNSS jamming fault occurs at 200 seconds, lasting 30 seconds with high severity. A moving spherical obstacle drifts through the airspace at moderate speed, requiring real-time avoidance. The UAV shares the airspace with another traffic drone moving at 8 m/s on a fixed trajectory. Communication experiences a brief downlink outage between 180 and 210 seconds. Battery endurance and separation from obstacles and other traffic are critical constraints throughout the mission.",Switch entirely to GPS-INS with drift correction,Rely on LiDAR SLAM fused with IMU during jamming,Use visual odometry alone with optical flow,Hold position using barometer and magnetometer,Descend immediately to 20m AGL for shelter,Follow last known waypoint with dead reckoning,Increase speed to exit jamming zone quickly,"[""Switch entirely to GPS-INS with drift correction"", ""Rely on LiDAR SLAM fused with IMU during jamming"", ""Use visual odometry alone with optical flow"", ""Hold position using barometer and magnetometer"", ""Descend immediately to 20m AGL for shelter"", ""Follow last known waypoint with dead reckoning"", ""Increase speed to exit jamming zone quickly""]","LiDAR SLAM provides spatial consistency in urban canyons and resists GNSS spoofing, while IMU fusion compensates for sandstorm-induced visual degradation. This combination maintains localization accuracy despite 4 m/s gusts and 40m visibility. Other methods fail due to drift, environmental noise, or lack of redundancy during the 30-second GNSS outage." 2025-11-01T18:05:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Pipeline_Inspection_in_Snowfall_f87dc265b44a_mcq.json,uavbench-mcq-v1,Urban_Pipeline_Inspection_in_Snowfall,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,Which path adjusts for a drifting no-fly zone and 7.5 m/s winds while hitting all waypoints within 600 seconds and maintaining 10–120 m AGL?,"This is an urban pipeline inspection mission conducted in a dense city canyon environment. The UAV is a battery-powered helicopter equipped with RGB and thermal cameras, LiDAR, and full navigation sensors for close-proximity imaging. It operates under poor visibility due to active snowfall and icing conditions, with moderate winds at 7.5 m/s from 210 degrees and additional gusts. The flight is constrained to altitudes between 10 and 120 meters AGL within a defined rectangular geofence. A static no-fly zone blocks the central area, while a moving no-fly zone drifts southwest, requiring real-time avoidance. Another UAV and a moving spherical obstacle create dynamic collision risks, with separation thresholds set at 25 meters and 15 seconds time-to-closest-approach. The mission must be completed within 600 seconds, following a corridor pattern across four waypoints. The UAV faces communication dropouts twice during the mission, lasting up to 15 seconds total. An icing event occurs at 240 seconds, degrading performance for one minute, and battery reserve is maintained at 30% to ensure safe return.","Fly direct between waypoints at 110 m AGL, ignoring wind drift",Descend to 10 m AGL between WP2 and WP3 to reduce wind impact,"Reroute westward around moving NFZ, maintaining 80 m AGL",Climb to 130 m AGL to avoid spherical obstacle and LiDAR clutter,Delay departure until winds drop below 5 m/s for safer flight,Cut through static NFZ center to save 45 seconds on timeline,Hover for 20 seconds at WP1 to stabilize after communication dropout,"[""Fly direct between waypoints at 110 m AGL, ignoring wind drift"", ""Descend to 10 m AGL between WP2 and WP3 to reduce wind impact"", ""Reroute westward around moving NFZ, maintaining 80 m AGL"", ""Climb to 130 m AGL to avoid spherical obstacle and LiDAR clutter"", ""Delay departure until winds drop below 5 m/s for safer flight"", ""Cut through static NFZ center to save 45 seconds on timeline"", ""Hover for 20 seconds at WP1 to stabilize after communication dropout""]","Option C reroutes adaptively westward to avoid the drifting no-fly zone while staying within the 10–120 m AGL band and maintaining forward progress. It accounts for wind from 210° without violating altitude or timing constraints. Other options breach NFZs, exceed AGL limits, induce delays, or waste energy, risking mission failure or collision." 2025-11-01T18:05:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Pipeline_Inspection_with_Convertiplane_0800f68f2b8a_mcq.json,uavbench-mcq-v1,Urban_Pipeline_Inspection_with_Convertiplane,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,How should the UAV handle navigation near the central no-fly zone with 6 m/s wind and potential GNSS multipath?,"This mission involves inspecting infrastructure in an urban canyon environment using a convertiplane UAV. The airspace is constrained between 10 and 120 meters AGL with a defined polygonal geofence and a cylindrical no-fly zone near the center. Weather conditions include a 6 m/s wind from 135 degrees with 3 m/s gusts, but visibility is good. The convertiplane has a battery capacity of 1200 Wh and carries an RGB and thermal camera payload for inspection tasks. It transitions between vertical and forward flight, with 8-second and 10-second transition profiles, respectively. The UAV must avoid a moving spherical obstacle oscillating westward and maintain separation from another UAV flying at 12 m/s. A runway is required for operations, with designated preferred and emergency landing sites. GNSS signals may experience multipath effects due to surrounding buildings, and the UAV must comply with a 25-meter separation threshold. The mission must be completed within 600 seconds while staying within energy reserves and altitude limits. Key constraints include the central no-fly zone, urban canyon structure, wind, and traffic separation requirements.",Rely solely on GNSS for precision near the no-fly zone,Switch to IMU-only navigation during wind gusts,Use visual-inertial fusion with thermal feature tracking,Descend to 10 m AGL to reduce wind interference,Increase speed to 15 m/s to minimize exposure time,Depend on LiDAR despite urban occlusion risks,Maintain constant camera focus on moving obstacle,"[""Rely solely on GNSS for precision near the no-fly zone"", ""Switch to IMU-only navigation during wind gusts"", ""Use visual-inertial fusion with thermal feature tracking"", ""Descend to 10 m AGL to reduce wind interference"", ""Increase speed to 15 m/s to minimize exposure time"", ""Depend on LiDAR despite urban occlusion risks"", ""Maintain constant camera focus on moving obstacle""]","GNSS multipath in urban canyons degrades positional accuracy, making fusion with visual and inertial data essential. Visual-inertial fusion leverages RGB and thermal cameras to track features, compensating for GNSS gaps and wind-induced drift. This approach maintains navigation integrity while enabling obstacle and no-fly zone avoidance under constrained airspace and energy limits." 2025-11-01T18:05:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Search_and_Rescue_under_Cold_Extremes_5ba0b1da087b_mcq.json,uavbench-mcq-v1,Urban_Search_and_Rescue_under_Cold_Extremes,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,An octocopter faces 12 m/s westerly winds and icing at 300s in a 200m urban grid. What ensures lift sufficiency and stability?,"This is an urban search and rescue mission using a battery-powered octocopter equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place in a dense urban canyon environment with tall buildings creating tight flight corridors. Weather includes strong westerly winds up to 12 m/s at altitude, gusts, and icing conditions that temporarily reduce performance. The UAV must navigate a predefined grid pattern within a 200m x 200m geofenced area, avoiding two no-fly zones—one static and one moving—while maintaining safe separation from another UAV and a moving spherical obstacle. GNSS signals are degraded due to multipath effects and moderate jamming, requiring robust positioning solutions. Flight altitude is constrained between 5m and 120m AGL, with a critical no-fly cylinder near the center and a dynamic exclusion zone shifting across the northeast quadrant. The mission must be completed within 600 seconds, with limited communication windows and a potential 60-second icing fault at the 300-second mark. Battery endurance is a key constraint, with a reserve fraction of 30% and high power draw from propulsion and payload. The UAV spawns at the southeast corner and must return to a preferred landing site, while avoiding collisions and maintaining DAA compliance throughout. Success depends on reliable sensor fusion, energy management, and adaptive path planning in challenging urban and weather conditions.",Increase collective pitch to boost thrust,Reduce airspeed to minimize drag,Bank sharply to evade obstacles quickly,Descend to 5m to escape wind gusts,Pitch up continuously to gain altitude,Maintain steady hover with max throttle,Adjust rotor RPM to compensate for ice buildup,"[""Increase collective pitch to boost thrust"", ""Reduce airspeed to minimize drag"", ""Bank sharply to evade obstacles quickly"", ""Descend to 5m to escape wind gusts"", ""Pitch up continuously to gain altitude"", ""Maintain steady hover with max throttle"", ""Adjust rotor RPM to compensate for ice buildup""]","Icing increases blade mass and disrupts airflow, reducing lift and efficiency. Adjusting rotor RPM restores thrust by compensating for degraded aerodynamic performance. Other options either exacerbate stall risk or ignore propulsion limitations under icing." 2025-11-01T18:05:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Powerline_Inspection_in_Snowfall_63895fce46d9_mcq.json,uavbench-mcq-v1,Urban_Powerline_Inspection_in_Snowfall,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Given 900s mission, 1.2kg payload, 8m/s wind, and icing at 300s, which strategy maximizes inspection coverage while ensuring return?","This scenario involves an urban powerline inspection mission using an octocopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight takes place in a dense urban environment with restricted airspace bounded by a polygonal geofence and multiple no-fly zones, including a static cylinder and a moving no-fly zone. Weather conditions include moderate snowfall, poor visibility, icing risk, and a steady 8 m/s wind from the west with gusts up to 4.5 m/s. The UAV must follow a predefined corridor pattern at low altitude, navigating between 10 and 120 meters AGL while avoiding obstacles and maintaining separation from other air traffic. A dynamic no-fly zone moves through the area, and a single conflicting UAV enters the airspace from the southeast. The mission is further challenged by a simulated icing event at 300 seconds, reducing performance for two minutes, and brief communication outages at 400 and 700 seconds. GNSS multipath effects are likely due to the urban canyon environment, and the UAV must manage battery reserves carefully to complete the 900-second mission within energy limits. The octocopter carries a 1.2 kg payload with moderate drag, impacting endurance and maneuverability in windy conditions. Collision avoidance is critical, with a required separation of 25 meters and a time-to-collision threshold of 15 seconds enforced by the DAA system. The UAV must return safely to its takeoff point, with an emergency landing site available nearby.",Fly full speed throughout to finish early,Descend to 10m AGL immediately after icing,Reduce camera resolution during snowfall,Circle waiting for moving no-fly zone to pass,Disable LiDAR to save power permanently,Increase altitude to 120m AGL into stronger wind,Adjust speed and sensor use dynamically based on conditions,"[""Fly full speed throughout to finish early"", ""Descend to 10m AGL immediately after icing"", ""Reduce camera resolution during snowfall"", ""Circle waiting for moving no-fly zone to pass"", ""Disable LiDAR to save power permanently"", ""Increase altitude to 120m AGL into stronger wind"", ""Adjust speed and sensor use dynamically based on conditions""]","Dynamic adjustment balances energy use, maintains sensor efficacy, and adapts to wind and icing. This optimizes battery life and mission completion within 900 seconds. Other options waste energy or sacrifice critical capabilities unnecessarily." 2025-11-01T18:05:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Search_and_Rescue_under_Microburst_Risk_1013bc7e6c3a_mcq.json,uavbench-mcq-v1,Urban_Search_and_Rescue_under_Microburst_Risk,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 45m AGL, winds hit 18 m/s with a drifting cylinder obstacle; how should the UAV respond to maintain safety and mission integrity?","This is an urban search and rescue mission conducted in a dense urban canyon environment with restricted airspace between 5 and 90 meters AGL. The hexacopter UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, supporting search operations under poor visibility. Strong winds up to 18 m/s increase with altitude and shift direction, posing microburst risks that demand robust flight control. The mission is constrained by static and moving no-fly zones, including a dynamic cylinder obstacle drifting through the area. GNSS signals are degraded by multipath effects and moderate jamming, while electromagnetic interference challenges sensor reliability. The UAV must follow a corridor search pattern across four waypoints within a 10-minute time limit, avoiding collisions with a single intruder UAV and a moving spherical obstacle. Communication experiences brief downlink outages, requiring resilient data handling. Battery endurance is critical, with a 30% reserve mandated and energy consumption affected by wind and drag. Proximity to buildings demands strict separation monitoring, with a 25-meter minimum threshold and 8-second time-to-closest-approach alerting. The mission emphasizes navigation resilience, obstacle avoidance, and timely completion under severe environmental and operational constraints.",Climb to 100m AGL to avoid obstacle and strengthen GNSS,Descend below 5m AGL to reduce wind exposure and drift,Maintain 45m AGL and continue toward next waypoint on schedule,"Deviate laterally, keeping 25m separation and 8s time-to-closest-approach",Abort mission due to sensor degradation and communication outages,Fly through cylinder path if thermal shows no human presence,Accelerate to complete corridor search within 10-minute limit,"[""Climb to 100m AGL to avoid obstacle and strengthen GNSS"", ""Descend below 5m AGL to reduce wind exposure and drift"", ""Maintain 45m AGL and continue toward next waypoint on schedule"", ""Deviate laterally, keeping 25m separation and 8s time-to-closest-approach"", ""Abort mission due to sensor degradation and communication outages"", ""Fly through cylinder path if thermal shows no human presence"", ""Accelerate to complete corridor search within 10-minute limit""]","Maintaining 25m separation and 8s time-to-closest-approach respects proximity and collision risk limits in dense urban terrain. It balances mission continuation with human safety and obstacle avoidance under degraded navigation. Other options violate altitude limits, increase collision risk, or disregard operational constraints." 2025-11-01T18:05:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Search_and_Rescue_with_Hail_69bc7671e012_mcq.json,uavbench-mcq-v1,Urban_Search_and_Rescue_with_Hail,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"With 450Wh battery, 0.5kg payload, and 8 m/s winds, which action maximizes search coverage within 600s under energy limits?","This is an urban search and rescue mission conducted in a dense urban canyon environment with restricted airspace. The UAV operates within a 200m x 200m geofenced area, with a cylindrical no-fly zone at its center. Weather conditions include strong 8 m/s winds from the west, gusts up to 4 m/s, poor visibility, and active hail, increasing flight risk. A single hexacopter UAV is used, equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The UAV has a 450Wh battery and carries a 0.5kg payload, requiring careful energy management under adverse conditions. The mission involves a grid search pattern at 30m altitude across four waypoints, with a 600-second time limit. A moving spherical obstacle drifts westward at 2 m/s, and another UAV is present, requiring separation monitoring. GNSS multipath effects are likely due to the urban canyon, and a temporary comms loss occurs twice during flight. An icing event at 200 seconds simulates performance degradation, adding operational stress.",Increase speed to 8 m/s to finish early,Descend to 15m to reduce wind resistance,Disable LiDAR to save 40W for longer flight,Extend loiter time at each waypoint,Climb to 50m for better GNSS reception,Transmit full-resolution video continuously,Pause propulsion to glide between waypoints,"[""Increase speed to 8 m/s to finish early"", ""Descend to 15m to reduce wind resistance"", ""Disable LiDAR to save 40W for longer flight"", ""Extend loiter time at each waypoint"", ""Climb to 50m for better GNSS reception"", ""Transmit full-resolution video continuously"", ""Pause propulsion to glide between waypoints""]","Disabling LiDAR saves 40W, extending endurance without compromising core sensing. RGB and thermal suffice for search; reduced power use balances wind-induced draw. This maximizes coverage within 450Wh and 600s limits." 2025-11-01T18:05:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Urban_Snowfall_Helicopter_Delivery_e5611d3000d7_mcq.json,uavbench-mcq-v1,Urban_Snowfall_Helicopter_Delivery,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 125s, GNSS jamming begins (80% severity) with comms loss; wind is 7.5 m/s. What immediate action maintains safety and legality?","This is a delivery mission using a battery-powered helicopter UAV in an urban canyon environment. The UAV carries a 2 kg payload and is equipped with GNSS, IMU, camera, lidar, and other standard sensors. The flight occurs during snowfall with poor visibility and a 7.5 m/s wind from 240 degrees, including gusts up to 4.0 m/s. The operational altitude ranges from 5 to 60 meters AGL within a defined polygonal airspace. A static no-fly zone (cylinder, 10 m radius) and a moving no-fly zone (drifting at -1.5, -1.0 m/s) must be avoided. The mission includes three waypoints in a corridor pattern, starting near the spawn point and ending near the preferred landing site. A second UAV and a moving spherical obstacle introduce dynamic traffic and collision risks. The UAV must maintain a minimum separation of 15 meters and a time-to-closest-approach threshold of 10 seconds. GNSS jamming occurs between 120–150 seconds with 80% severity, coinciding with a comms downlink loss window.",Continue to Waypoint 2 using IMU and lidar,Ascend to 100 m AGL for better signal reception,Execute return-to-home via last known GNSS fix,Hover at current position using optical flow,Land immediately in nearest urban street,Fly toward moving obstacle to test collision avoidance,Proceed to final waypoint using camera only,"[""Continue to Waypoint 2 using IMU and lidar"", ""Ascend to 100 m AGL for better signal reception"", ""Execute return-to-home via last known GNSS fix"", ""Hover at current position using optical flow"", ""Land immediately in nearest urban street"", ""Fly toward moving obstacle to test collision avoidance"", ""Proceed to final waypoint using camera only""]","Hovering using optical flow maintains position without relying on GNSS or comms, avoiding no-fly zones and traffic. It prioritizes collision avoidance and lawful airspace compliance over mission continuation. Other options risk violating separation, altitude limits, or controlled flight." 2025-11-01T18:05:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Forest_Delivery_Under_Hail_f67443760240_mcq.json,uavbench-mcq-v1,VTOL_Forest_Delivery_Under_Hail,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"A tiltrotor UAV must deliver in 600 s amid 10 m/s winds at 50 m, hail, and communication outages. How should it prioritize actions during icing?","This is a VTOL forest delivery mission using a tiltrotor UAV equipped with RGB camera and LiDAR payload. The flight occurs in a forested airspace with poor visibility due to hail, requiring careful navigation. Winds increase with altitude, shifting from 6 m/s at ground level to 10 m/s at 50 meters, creating challenging flight dynamics. The UAV must avoid static and moving no-fly zones, including a dynamic obstacle drifting through the area. GNSS signals suffer from multipath and moderate jamming, complicating positioning near trees and terrain. The mission requires a runway approach for landing, with transition phases between hover and forward flight. A mid-mission icing event reduces performance for one minute, increasing power demand and risk of stall. Communication experiences brief uplink/downlink outages, demanding robust autonomy. Traffic from another UAV and a moving spherical obstacle require real-time separation management. The UAV must complete its delivery within 600 seconds while maintaining safe altitude and battery reserves.",Climb to 60 m for clearer GNSS and avoid wind shear,Hover at 30 m to wait out icing and comms outage,Descend to 20 m to reduce wind load and power use,Proceed at 45 m while Agent B relays telemetry updates,Accelerate forward flight to minimize exposure time,Enter loiter mode until the spherical obstacle clears,Rely solely on LiDAR while disabling RGB for power,"[""Climb to 60 m for clearer GNSS and avoid wind shear"", ""Hover at 30 m to wait out icing and comms outage"", ""Descend to 20 m to reduce wind load and power use"", ""Proceed at 45 m while Agent B relays telemetry updates"", ""Accelerate forward flight to minimize exposure time"", ""Enter loiter mode until the spherical obstacle clears"", ""Rely solely on LiDAR while disabling RGB for power""]","Agent B’s telemetry relay compensates for uplink/downlink outages, maintaining situational awareness. Flying at 45 m balances wind exposure and sensor performance while preserving mission timeline. This choice ensures inter-agent coordination, sustains communication resilience, and meets delivery deadline under dynamic constraints." 2025-11-01T18:05:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Forest_Icing_Mission_with_GPS_Spoofing_be0c4c78976a_mcq.json,uavbench-mcq-v1,VTOL_Forest_Icing_Mission_with_GPS_Spoofing,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,B,False,"At 80 m AGL, 45 seconds in, with 10 m/s winds at 100 m and icing buildup, what action balances energy, safety, and navigation during GNSS spoofing?","This is a VTOL tiltrotor UAV conducting a forest survey mission in icing conditions with poor visibility. The flight occurs in a confined forest airspace with a maximum altitude of 120 meters AGL and a designated runway for takeoff and landing. Winds increase with altitude, reaching 10 m/s at 100 m with a shifting direction, and thermal updrafts are present near the center of the area. The UAV is equipped with a battery-powered electric propulsion system, carries an RGB camera payload, and relies on GNSS, IMU, lidar, and other sensors for navigation. Key constraints include a static no-fly zone near the center and a moving no-fly cylinder drifting southwest, requiring dynamic path planning. A second UAV and a moving spherical obstacle add collision risks, with separation monitoring active at 25 meters. GNSS spoofing occurs midway through the mission, degrading position accuracy, while icing buildup affects aerodynamics and performance. Communication downlink is intermittently lost during two 20-second windows, complicating telemetry and control. The mission must be completed within 10 minutes, with adequate battery reserve and safe return to the runway despite faults and environmental hazards.",Climb to 110 m for better GNSS signal clarity,Descend to 60 m to reduce wind exposure and save battery,Hold 80 m and increase speed to exit spoofing zone faster,Turn southwest to avoid thermal updraft interference,Enter hover to recalibrate sensors using lidar,"Pitch forward to gain airspeed, improving control authority",Circle left at 80 m to maintain visual on second UAV,"[""Climb to 110 m for better GNSS signal clarity"", ""Descend to 60 m to reduce wind exposure and save battery"", ""Hold 80 m and increase speed to exit spoofing zone faster"", ""Turn southwest to avoid thermal updraft interference"", ""Enter hover to recalibrate sensors using lidar"", ""Pitch forward to gain airspeed, improving control authority"", ""Circle left at 80 m to maintain visual on second UAV""]","Descending to 60 m reduces wind-induced drag and power demand, conserving battery under icing-related performance degradation. It maintains safe separation, avoids the upper wind layer, and relies more on lidar than compromised GNSS, aligning with navigation resilience and energy constraints while staying below 120 m AGL ceiling." 2025-11-01T18:05:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Jungle_Hover_Inspection_in_Cold_Weather_4dfcc3bc185a_mcq.json,uavbench-mcq-v1,VTOL_Jungle_Hover_Inspection_in_Cold_Weather,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"At 120s, an icing event reduces performance; UAV must maintain 25m separation from traffic UAV at 18m/s within 600s mission.","The mission is an inspection using a VTOL tiltrotor UAV equipped with RGB and thermal cameras, operating in a jungle environment. The UAV must navigate within a defined 300x250 meter geofenced area, avoiding static and moving no-fly zones, including a dynamic obstacle drifting at 2.5 m/s. Operations occur between 5 and 120 meters AGL, with poor visibility due to snowfall and icing conditions, and wind increasing with altitude up to 11 m/s from the west. GNSS signals are degraded by multipath effects and moderate jamming at -75 dBm, with additional electromagnetic interference affecting navigation. The UAV transitions between hover and fixed-wing flight, following an orbital pattern around waypoints, requiring precise energy management due to high hover power draw and a 30% battery reserve. A traffic UAV flies through the airspace at 18 m/s, requiring separation of at least 25 meters maintained by detect-and-avoid logic. The UAV must land on a designated runway, with emergency landing options available, and complete the mission within 600 seconds. An icing event occurs at 120 seconds, reducing performance for one minute, while communication dropouts happen briefly at 400 and 550 seconds. Thermal updrafts near the center of the area provide minor lift, but sensor fusion must account for unreliable GNSS and IMU inputs. The mission emphasizes robust navigation, fault tolerance, and safe operation under cold, turbulent, and signal-degraded conditions.",Descend to 5m AGL to avoid traffic UAV and reduce icing impact.,"Hold position at 120m until traffic passes, conserving battery.",Adjust orbital radius to increase lateral separation using thermal updraft.,Accelerate to 20m/s to overtake traffic UAV before 400s comms dropout.,"Switch to hover mode, reducing speed below 2.5m/s to dodge obstacle.","Climb to 120m AGL immediately, using updraft to offset icing losses.","Delay transition to fixed-wing until after 400s, syncing with comms recovery.","[""Descend to 5m AGL to avoid traffic UAV and reduce icing impact."", ""Hold position at 120m until traffic passes, conserving battery."", ""Adjust orbital radius to increase lateral separation using thermal updraft."", ""Accelerate to 20m/s to overtake traffic UAV before 400s comms dropout."", ""Switch to hover mode, reducing speed below 2.5m/s to dodge obstacle."", ""Climb to 120m AGL immediately, using updraft to offset icing losses."", ""Delay transition to fixed-wing until after 400s, syncing with comms recovery.""]","C maintains separation by leveraging environmental lift and adjusts orbit geometry without energy-intensive maneuvers. It respects timing constraints, avoids early battery drain, and preserves communication windows better than alternatives. Other options violate altitude, energy, or timing bounds under coordination demands." 2025-11-01T18:05:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Corridor_Follow_in_Dense_Urban_with_Gusts_1cd21ccebf30_mcq.json,uavbench-mcq-v1,VTOL_Corridor_Follow_in_Dense_Urban_with_Gusts,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which configuration optimizes energy, NFZ clearance, and GNSS resilience at 8.5 m/s wind and 25 m separation?","This mission involves a VTOL tiltrotor UAV conducting an inspection in a dense urban environment. The flight follows a predefined corridor through a structured airspace with a minimum altitude of 20 meters AGL and a maximum of 120 meters. Weather conditions include a steady wind of 8.5 m/s from 240 degrees with gusts up to 4.5 m/s, posing challenges for stability and energy use. The UAV is equipped with GNSS, IMU, lidar, and RGB camera, supporting navigation and inspection tasks. A stationary no-fly zone cylinder is located in the center of the area, and a second dynamic no-fly zone moves through the airspace, requiring real-time avoidance. The mission must respect separation thresholds of 25 meters and a time-to-collision buffer of 15 seconds due to nearby UAV traffic. The aircraft transitions between hover and forward flight, with defined transition times, and must land on a designated runway aligned at 225 degrees. Significant GNSS multipath effects are expected due to urban canyon structures, potentially degrading positioning accuracy. The route includes five waypoints, with a time budget of 600 seconds, requiring efficient path planning and energy management. Battery reserve is set to 30%, and performance will be evaluated on mission success, NFZ clearance, separation, and battery consumption.",Fixed-wing with GPS-only navigation,Quadcopter with full lidar redundancy,Tiltrotor using IMU-lidar fusion,Autogyro with RGB-only avoidance,VTOL with GNSS-only positioning,Hexacopter with 50% extra battery,Tiltrotor using visual odometry,"[""Fixed-wing with GPS-only navigation"", ""Quadcopter with full lidar redundancy"", ""Tiltrotor using IMU-lidar fusion"", ""Autogyro with RGB-only avoidance"", ""VTOL with GNSS-only positioning"", ""Hexacopter with 50% extra battery"", ""Tiltrotor using visual odometry""]","The tiltrotor with IMU-lidar fusion maintains positioning accuracy during GNSS outages in urban canyons and efficiently transitions between flight modes. It enables real-time obstacle and dynamic NFZ avoidance while conserving energy under 8.5 m/s winds. Other options fail in redundancy, navigation resilience, or energy efficiency under the mission’s constraints." 2025-11-01T18:05:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Jungle_Inspection_Under_Lightning_Risk_6313c0ec7e7f_mcq.json,uavbench-mcq-v1,VTOL_Jungle_Inspection_Under_Lightning_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"During loiter at Waypoint 3, winds shift to 15 m/s gusting; UAV must maintain 25m separation from intruder UAV and conserve battery with 30% reserve.","This is a VTOL jungle inspection mission using a tiltrotor UAV equipped with RGB and thermal cameras, LIDAR, and full navigation sensors. The operation takes place in a dense jungle environment with poor visibility and a high risk of lightning. Weather includes strong winds up to 15 m/s at higher altitudes and gusts, with shifting wind direction increasing with altitude. The UAV must navigate around static and moving no-fly zones, including a dynamic obstacle drifting through the airspace. GNSS signals are degraded due to multipath effects and intentional jamming, with a planned 45-second GNSS jamming fault and a lightning strike risk event. The mission requires runway-assisted takeoff and landing, with a fixed runway threshold and heading. The UAV follows a point-hover inspection pattern with loiter orbits, inspecting four waypoints within a 600-second time limit. Air traffic includes another UAV moving through the area, requiring DAA compliance with 25-meter separation. Battery endurance is critical, with a 30% reserve required and energy consumption affected by wind, drag, and manoeuvring.",Descend to treetop level to reduce wind drag and avoid detection,Increase loiter radius to improve camera coverage and stability,Match altitude with intruder UAV to synchronize communication timing,Execute immediate return to base to avoid lightning strike risk,Adjust loiter orbit downwind to reduce relative airspeed and energy use,Climb above 100m for clearer GNSS despite higher wind exposure,Maintain current loiter profile and relay traffic updates to intruder UAV,"[""Descend to treetop level to reduce wind drag and avoid detection"", ""Increase loiter radius to improve camera coverage and stability"", ""Match altitude with intruder UAV to synchronize communication timing"", ""Execute immediate return to base to avoid lightning strike risk"", ""Adjust loiter orbit downwind to reduce relative airspeed and energy use"", ""Climb above 100m for clearer GNSS despite higher wind exposure"", ""Maintain current loiter profile and relay traffic updates to intruder UAV""]","Adjusting the loiter orbit downwind reduces relative airspeed, minimizing energy consumption while maintaining station-keeping accuracy. It preserves the 30% battery reserve and avoids conflict with the intruder UAV by maintaining predictable motion. This choice optimizes coordination by balancing environmental response and separation compliance without escalating risk." 2025-11-01T18:05:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_GPS_Spoofing_in_Hail_at_Industrial_Plant_b35ee1e61777_mcq.json,uavbench-mcq-v1,VTOL_GPS_Spoofing_in_Hail_at_Industrial_Plant,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 280s, during GNSS spoofing and 10 m/s wind shear, what action maintains control with 30% battery remaining?","VTOL tiltrotor UAV conducts an industrial inspection mission at an industrial plant. The airspace is constrained between 5 and 120 meters AGL with a polygonal geofence and a cylindrical no-fly zone near the center. Weather includes hail and poor visibility with increasing wind speed and shifting direction up to 100 meters altitude. The UAV is equipped with GNSS, IMU, lidar, and RGB camera, but faces GNSS spoofing and electromagnetic interference. A critical GNSS spoofing event occurs at 280 seconds, lasting 45 seconds, coinciding with a comms loss window. The mission requires runway-assisted takeoff and landing, with a preferred landing site and emergency backup. The flight path follows a corridor pattern through four waypoints while avoiding a moving spherical obstacle. Traffic includes another UAV approaching from outside the operational area. Battery capacity limits flight time, with 30% reserved for safe return. Strict separation and time-to-collision thresholds are enforced to avoid collisions.",Increase rotor tilt to 90° for maximum lift,Descend to 5m AGL to reduce wind exposure,Hold hover at reduced rotor RPM to save power,Bank 45° into wind to maintain ground track,Pitch up 15° to climb above no-fly zone,Transition to fixed-wing mode to increase airspeed,Execute emergency landing at nearest hardpoint,"[""Increase rotor tilt to 90° for maximum lift"", ""Descend to 5m AGL to reduce wind exposure"", ""Hold hover at reduced rotor RPM to save power"", ""Bank 45° into wind to maintain ground track"", ""Pitch up 15° to climb above no-fly zone"", ""Transition to fixed-wing mode to increase airspeed"", ""Execute emergency landing at nearest hardpoint""]","GNSS spoofing and comms loss invalidate precision navigation; at 30% battery, continued flight risks reserve depletion. Aerodynamic control is compromised by wind shear and EM interference, making immediate landing the safest response to maintain force equilibrium and avoid uncontrolled descent." 2025-11-01T18:05:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Jungle_Survey_Under_GPS_Spoofing_1cba638cc628_mcq.json,uavbench-mcq-v1,VTOL_Jungle_Survey_Under_GPS_Spoofing,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"At 120 m AGL, 6 m/s winds from 240°, and GNSS at -85 dBm, which action optimizes survey completion with spoofing onset and dynamic NFZ?","This is a VTOL tiltrotor UAV conducting a grid survey mission in a dense jungle environment. The aircraft operates between 10 and 150 meters AGL within a defined polygonal geofence. Weather includes moderate winds at 6 m/s from 240°, increasing with altitude, and poor visibility with a risk of lightning. The UAV carries an RGB camera and LiDAR payload, relying on GNSS, IMU, and other sensors for navigation. GNSS signals are degraded due to jamming at -85 dBm and electromagnetic interference, with a planned spoofing fault occurring mid-mission. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves through the airspace, requiring real-time avoidance. Wind shear and thermal updrafts create challenging flight conditions, particularly during transitions between hover and forward flight. The mission requires a runway for landing and includes a transition profile for VTOL-to-fixed-wing and back. Air traffic and a moving spherical obstacle add collision risks, with separation monitoring active. Battery endurance and communication dropouts during two brief downlink loss windows are additional operational constraints.",Descend to 10 m AGL to reduce wind drift and signal loss,Continue current heading and altitude to maintain schedule,Climb to 150 m AGL for better GNSS reception and clearance,"Deviate east, descend to 50 m AGL, and slow to 12 m/s",Turn back to base via shortest path to avoid spoofing risk,"Hover until dynamic NFZ passes, then resume original path","Shift survey pattern west, maintain 110 m AGL, and use IMU dead reckoning","[""Descend to 10 m AGL to reduce wind drift and signal loss"", ""Continue current heading and altitude to maintain schedule"", ""Climb to 150 m AGL for better GNSS reception and clearance"", ""Deviate east, descend to 50 m AGL, and slow to 12 m/s"", ""Turn back to base via shortest path to avoid spoofing risk"", ""Hover until dynamic NFZ passes, then resume original path"", ""Shift survey pattern west, maintain 110 m AGL, and use IMU dead reckoning""]","Maintaining 110 m AGL balances obstacle clearance, wind effects, and sensor performance. Shifting west avoids the dynamic NFZ while preserving mission progress. IMU dead reckoning compensates for GNSS spoofing and jamming without unnecessary descent or delay." 2025-11-01T18:05:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Desert_Wind_Turbine_Blade_Inspection_a7689abc6bb0_mcq.json,uavbench-mcq-v1,VTOL_Desert_Wind_Turbine_Blade_Inspection,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 118 seconds, wind hits 12 m/s with sandstorm; GNSS jam starts at 120s. What immediate action ensures safety and mission integrity?","This scenario involves a VTOL tiltrotor UAV conducting a wind turbine blade inspection in a desert environment. The mission takes place within a defined polygonal airspace bordered by a no-fly zone around a central cylinder. Weather includes strong winds at 8 m/s from 240°, increasing to 12 m/s at higher altitudes, with gusts and an active sandstorm reducing visibility and increasing sensor stress. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, supporting detailed visual and thermal inspection. GNSS multipath and electromagnetic interference are present, compounded by a planned GNSS jamming fault at 120 seconds. The UAV must maintain separation from a moving spherical obstacle and an intruder UAV flying through the area. Operations are constrained by a strict 600-second time budget, requirement for runway-assisted takeoff and landing, and battery reserve limits. The flight path follows a corridor pattern through four waypoints, avoiding the NFZ while managing energy under high wind resistance. Communication dropouts occur briefly during the GNSS jam and motor fault events, testing autonomy and resilience.",Continue to next waypoint; sensors confirm path is clear,Ascend to 150m to avoid obstacle; maintain inspection schedule,Abort mission immediately; return to runway using inertial nav,Switch to thermal-only tracking; reduce LiDAR power to save battery,Hover in place until jamming ends; preserve data link,Divert into NFZ for shelter; resume mission after 60 seconds,Descend and slow to minimum speed; prioritize stability over schedule,"[""Continue to next waypoint; sensors confirm path is clear"", ""Ascend to 150m to avoid obstacle; maintain inspection schedule"", ""Abort mission immediately; return to runway using inertial nav"", ""Switch to thermal-only tracking; reduce LiDAR power to save battery"", ""Hover in place until jamming ends; preserve data link"", ""Divert into NFZ for shelter; resume mission after 60 seconds"", ""Descend and slow to minimum speed; prioritize stability over schedule""]","High winds, sandstorm, and imminent GNSS loss demand conservative flight to maintain control and avoid collision. Entering NFZ or climbing increases risk; hovering wastes battery. G minimizes hazard exposure while preserving ability to navigate safely using sensor redundancy and energy reserves." 2025-11-01T18:05:21Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Package_Delivery_in_Icing_Conditions_5a2ea1ce6a15_mcq.json,uavbench-mcq-v1,VTOL_Package_Delivery_in_Icing_Conditions,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During icing (40% efficiency loss) and mild GNSS jamming, which action maintains control and secure navigation at 120s with comms dropout?","VTOL package delivery mission near an airport perimeter under icing conditions. UAV is a tiltrotor VTOL with a 1.2 kg payload and standard sensors including GNSS, IMU, lidar, and RGB camera. Flight occurs between 10–150 m AGL within a defined polygon geofence containing static and moving no-fly zones. Weather includes moderate wind at 6.5 m/s from 240°, increasing with altitude, and icing conditions. A dynamic no-fly zone moves diagonally across the airspace at slow speed. GNSS multipath and electromagnetic interference are present, with mild signal jamming. Another UAV traffic agent crosses the airspace on an orthogonal path. An icing event reduces aerodynamic efficiency by 40% between 180–240 seconds. Brief comms outages occur at 120 and 400 seconds, each lasting under 15 seconds. Mission requires runway access and must complete within 600 seconds while avoiding collisions and maintaining separation.",Rely solely on encrypted GNSS with no sensor fusion,Switch to IMU-lidar dead reckoning with integrity checks,Increase rotor pitch aggressively to compensate for lift loss,Transmit unencrypted telemetry to conserve power,Accept spoofed GNSS fixes to maintain position lock,Disable intrusion detection to reduce processing latency,Hand over control via open Wi-Fi during comms loss,"[""Rely solely on encrypted GNSS with no sensor fusion"", ""Switch to IMU-lidar dead reckoning with integrity checks"", ""Increase rotor pitch aggressively to compensate for lift loss"", ""Transmit unencrypted telemetry to conserve power"", ""Accept spoofed GNSS fixes to maintain position lock"", ""Disable intrusion detection to reduce processing latency"", ""Hand over control via open Wi-Fi during comms loss""]","IMU-lidar fusion provides resilient navigation during GNSS jamming and comms loss, preserving control under icing. Integrity checks ensure data authenticity, preventing spoofing. This maintains availability, confidentiality, and control stability without introducing cyber vulnerabilities." 2025-11-01T18:05:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Powerline_Inspection_in_Low_Visibility_fa87d6d30d46_mcq.json,uavbench-mcq-v1,VTOL_Powerline_Inspection_in_Low_Visibility,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"A VTOL tiltrotor must inspect a powerline at 150 m AGL with 8 m/s winds, icing, and a drifting 2 m/s no-fly zone within 600 seconds.","This mission involves a VTOL tiltrotor UAV conducting a powerline corridor inspection in poor visibility and icing conditions. The operation takes place within a defined rectangular airspace with a maximum altitude of 150 meters AGL. Winds are moderate at 8 m/s from 240°, increasing with altitude and including gusts up to 4 m/s. The UAV is equipped with a comprehensive sensor suite including RGB and thermal cameras, LiDAR, radar, and full navigation sensors. It carries a 1.2 kg inspection payload and relies solely on battery power with a 30% reserve requirement. Key constraints include a static no-fly zone near the center of the corridor and a moving no-fly zone drifting westward at 2 m/s. Another UAV and a moving spherical obstacle traverse the airspace, requiring strict separation management with a 50-meter threshold. GNSS signals are degraded due to multipath, jamming at -75 dBm, and electromagnetic interference. The UAV must follow a predefined inspection route and return within a 600-second time budget, using a designated runway area for takeoff and landing. An icing event occurs mid-mission, reducing performance for one minute, while communication dropouts briefly affect uplink and downlink.",Climb to 150 m AGL and proceed directly along the corridor centerline,"Descend to 100 m AGL, delay route entry until moving NFZ clears path",Fly at 140 m AGL to minimize icing while maintaining VLOS,Divert west around moving NFZ at 150 m AGL to save time,Abort mission immediately and return to designated runway,Accelerate to bypass moving NFZ before it blocks the corridor,Shift south by 60 m to avoid static NFZ and radar multipath,"[""Climb to 150 m AGL and proceed directly along the corridor centerline"", ""Descend to 100 m AGL, delay route entry until moving NFZ clears path"", ""Fly at 140 m AGL to minimize icing while maintaining VLOS"", ""Divert west around moving NFZ at 150 m AGL to save time"", ""Abort mission immediately and return to designated runway"", ""Accelerate to bypass moving NFZ before it blocks the corridor"", ""Shift south by 60 m to avoid static NFZ and radar multipath""]","Descending to 100 m AGL reduces exposure to stronger winds and icing at higher altitudes while delaying entry avoids violating the moving no-fly zone. This balances endurance, separation, and airspace constraints, ensuring return within 600 seconds with 30% battery reserve. Other options either breach NFZs, increase icing risk, or fail to account for GNSS degradation near obstacles." 2025-11-01T18:05:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Sandstorm_Survey_Mission_5330a7e4e1ae_mcq.json,uavbench-mcq-v1,VTOL_Sandstorm_Survey_Mission,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 120s, GNSS jamming occurs amid 18 m/s winds and sandstorm visibility <500m. Which action maintains navigation integrity?","This is a VTOL tiltrotor UAV survey mission in a suburban airspace during a sandstorm with poor visibility. The UAV carries an RGB camera and LIDAR payload for data collection. Strong winds up to 18 m/s from the southwest increase with altitude and shift direction, creating challenging flight conditions. A thermal updraft near the center of the area may affect stability. The mission operates within a 10–150 m AGL altitude band and must avoid a static no-fly zone near the center and a moving no-fly zone drifting northeast. GNSS signals suffer from multipath and jamming, and electromagnetic interference is present. The UAV must follow a corridor survey pattern with five waypoints and use a runway for takeoff and landing. It flies as part of a four-UAV swarm with minimum 25 m separation, requiring coordinated navigation. Two faults are expected: a GNSS jamming event at 120 seconds and a partial motor failure at 300 seconds.",Switch to pure GNSS-INS with drift correction,Rely solely on LIDAR point cloud matching,Increase reliance on visual-inertial odometry,Descend to 5m AGL to reduce wind effects,Use magnetic heading for yaw stabilization,Activate motor compensation via IMU feedback,Follow preplanned path using dead reckoning,"[""Switch to pure GNSS-INS with drift correction"", ""Rely solely on LIDAR point cloud matching"", ""Increase reliance on visual-inertial odometry"", ""Descend to 5m AGL to reduce wind effects"", ""Use magnetic heading for yaw stabilization"", ""Activate motor compensation via IMU feedback"", ""Follow preplanned path using dead reckoning""]","Visual-inertial odometry fuses camera and IMU data, resilient to GNSS jamming and effective despite sandstorm haze. LIDAR suffers from scattering in sandstorms, and magnetic sensors are unreliable due to interference. This method adapts to degraded GNSS while maintaining positional accuracy within the corridor." 2025-11-01T18:05:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Powerline_Inspection_in_Wind_Farm_with_Icing_6612499d0737_mcq.json,uavbench-mcq-v1,VTOL_Powerline_Inspection_in_Wind_Farm_with_Icing,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which system ensures reliable navigation during GNSS multipath, jamming, and icing at 12 m/s winds within 10–120 m AGL?","This is a VTOL UAV powerline inspection mission in a wind farm environment. The aircraft operates within a defined airspace bounded by a polygonal geofence, with altitude limits between 10 and 120 meters AGL. Strong winds up to 12 m/s and gusts of 4.5 m/s are present, increasing with altitude and shifting direction. Icing conditions are expected, with a simulated icing event occurring mid-mission, reducing performance. The UAV is a tiltrotor VTOL equipped with RGB and thermal cameras for inspection, along with LIDAR and full navigation sensors. It faces GNSS multipath effects, moderate jamming, and electromagnetic interference, challenging navigation reliability. The flight plan includes a corridor inspection pattern with five waypoints, requiring transition between hover and forward flight. A dynamic no-fly zone moves through the area, and a static cylinder exclusion zone surrounds critical infrastructure. Air traffic and a moving spherical obstacle require separation, with a minimum safe distance of 25 meters. The mission demands runway-aligned takeoff and landing, with communication dropouts occurring briefly during flight.",Standard GNSS with IMU backup,Vision-only navigation with RGB camera,LIDAR-aided INS with wind estimation,"GPS-only solution, high update rate",Thermal-camera-based terrain matching,Magnetometer-dependent heading control,Acoustic sensor array for localization,"[""Standard GNSS with IMU backup"", ""Vision-only navigation with RGB camera"", ""LIDAR-aided INS with wind estimation"", ""GPS-only solution, high update rate"", ""Thermal-camera-based terrain matching"", ""Magnetometer-dependent heading control"", ""Acoustic sensor array for localization""]","LIDAR-aided INS fuses precise terrain-relative positioning with inertial data, maintaining accuracy during GNSS outages and jamming. It resists wind disturbances via real-time estimation and remains functional under icing. Other systems fail due to environmental vulnerability, lack of redundancy, or insufficient update rates." 2025-11-01T18:05:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Satellite_Link_Relay_in_Wind_Farm_with_Lightning_Risk_f09e73b6688e_mcq.json,uavbench-mcq-v1,VTOL_Satellite_Link_Relay_in_Wind_Farm_with_Lightning_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 315 seconds, with GNSS jamming imminent and 25m separation required, how should the swarm adjust roles and positioning to maintain relay integrity?","VTOL UAV conducts a satellite link relay mission in a wind farm environment. The mission operates within a defined airspace bounded by a polygon geofence and altitude limits from 10 to 150 meters AGL. Winds increase with altitude, reaching 14 m/s from 290 degrees at 100 meters, with gusts up to 4 m/s and a lightning risk present. The UAV is a tiltrotor VTOL equipped with GNSS, IMU, lidar, camera, and relay payload, powered by an 1800 Wh battery. Key constraints include a static no-fly zone around a turbine and a moving no-fly zone drifting northwest. GNSS multipath and electromagnetic interference degrade navigation performance, with a simulated jamming event at -75 dBm. A three-UAV swarm operates with leader, relay, and scout roles, maintaining at least 25 meters separation. The mission requires runway-assisted takeoff and landing, with a preferred landing site at the runway threshold. Traffic includes a level-flying UAV and a horizontally moving spherical obstacle near a turbine. Critical faults include a 45-second GNSS jam at 320 seconds and a 5-second lightning strike risk at 480 seconds.",Leader ascends to 150m for better line-of-sight,Relay UAV moves closer to scout for signal boost,All UAVs descend to 10m to reduce wind exposure,Scout assumes relay role; leader shifts behind turbine,Relay holds position while leader advances to 120m,Scout drops payload and retreats to runway threshold,Leader delegates relay duty; both support comms at 80m,"[""Leader ascends to 150m for better line-of-sight"", ""Relay UAV moves closer to scout for signal boost"", ""All UAVs descend to 10m to reduce wind exposure"", ""Scout assumes relay role; leader shifts behind turbine"", ""Relay holds position while leader advances to 120m"", ""Scout drops payload and retreats to runway threshold"", ""Leader delegates relay duty; both support comms at 80m""]","The correct option ensures continuity of the relay function despite jamming by redistributing tasks before GNSS failure. Maintaining 80m balances wind risk and communication range while preserving 25m separation and swarm awareness. Other choices violate spacing, increase exposure, or disrupt role hierarchy during critical timing." 2025-11-01T18:05:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Search_and_Rescue_in_Dusty_Wind_Farm_64b5191ca1f0_mcq.json,uavbench-mcq-v1,VTOL_Search_and_Rescue_in_Dusty_Wind_Farm,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"At 120m AGL, 14 m/s winds, and GNSS degradation, how should the UAV adjust its search pattern to maintain coordination with the westbound UAV and geofence limits?","VTOL tiltrotor UAV conducts search and rescue in a wind farm with poor visibility due to dust. Mission takes place in a bounded airspace with a static no-fly zone near turbines and a moving restricted zone. Strong winds up to 14 m/s increase with altitude and shift direction, creating challenging flight conditions. UAV is equipped with RGB and thermal cameras, LiDAR, and full suite of navigation sensors. GNSS signals suffer from multipath and moderate jamming, degrading positioning accuracy. Flight must adhere to altitude limits between 10 and 150 meters AGL with strict geofence compliance. UAV must use runway for takeoff and landing, following a predefined transition profile. Thermal updrafts near the search area can affect low-altitude stability and energy management. Air traffic includes another UAV moving westbound, requiring separation monitoring. Communication dropouts occur briefly at two intervals, demanding resilient control and navigation.",Descend to 10m AGL to avoid wind and thermal updrafts,Maintain 120m AGL and extend LiDAR forward scan range,Climb to 150m AGL for clearer GNSS and wider coverage,Transition to runway alignment despite ongoing search task,Rely solely on thermal camera to compensate for dust,Enter moving restricted zone for faster route to target,Halt operations during communication dropouts,"[""Descend to 10m AGL to avoid wind and thermal updrafts"", ""Maintain 120m AGL and extend LiDAR forward scan range"", ""Climb to 150m AGL for clearer GNSS and wider coverage"", ""Transition to runway alignment despite ongoing search task"", ""Rely solely on thermal camera to compensate for dust"", ""Enter moving restricted zone for faster route to target"", ""Halt operations during communication dropouts""]","Maintaining 120m AGL balances wind exposure and sensor effectiveness while staying within altitude limits. Using LiDAR compensates for degraded GNSS and poor visibility, ensuring terrain-relative navigation. This preserves separation from the westbound UAV by enabling predictable, stable flight without violating geofences or aborting mission tasks." 2025-11-01T18:05:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Pipeline_Inspection_in_Sandstorm_eddaca037b11_mcq.json,uavbench-mcq-v1,VTOL_Pipeline_Inspection_in_Sandstorm,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,A,False,"At 120s GNSS fails; UAV must inspect all waypoints, avoid a 25m exclusion zone around a drifting sphere at 2m/s west, and exit before 600s.","VTOL tiltrotor UAV conducts pipeline inspection in a desert powerline corridor during active sandstorm. Airspace is constrained by a polygon geofence and a central no-fly cylinder near the corridor midpoint. Mission duration is limited to 600 seconds with strict time and battery budgets. UAV is equipped with RGB and thermal cameras, LiDAR, radar, and full suite of navigation sensors. Strong 12 m/s winds from 240° with 6 m/s gusts exacerbate sandstorm conditions, reducing visibility. A moving spherical obstacle drifts westward at 2 m/s near a critical inspection point. Another UAV intrudes from the north at 18 m/s, requiring separation maintenance of at least 25 meters. GNSS jamming occurs at 120 seconds and again during the sandstorm, which severely impacts sensor performance. Communication downlink remains functional, but uplink is lost during critical phases, requiring autonomous operation.","Climb to 120m AGL, arc east around sphere, resume course at next waypoint","Descend to 40m AGL, fly direct through sphere's predicted position at 130s","Hold position at 80m AGL for 20s, then proceed on recalculated bearing","Turn 45° north, fly 100m, descend through NFZ to bypass sphere quickly","Follow sphere trajectory at 23m separation, matching its westward drift","Bank 30° left, reduce speed to 10m/s, pass south at closest edge","Pitch down 5°, accelerate to 22m/s, underfly obstacle at 35m AGL","[""Climb to 120m AGL, arc east around sphere, resume course at next waypoint"", ""Descend to 40m AGL, fly direct through sphere's predicted position at 130s"", ""Hold position at 80m AGL for 20s, then proceed on recalculated bearing"", ""Turn 45° north, fly 100m, descend through NFZ to bypass sphere quickly"", ""Follow sphere trajectory at 23m separation, matching its westward drift"", ""Bank 30° left, reduce speed to 10m/s, pass south at closest edge"", ""Pitch down 5°, accelerate to 22m/s, underfly obstacle at 35m AGL""]","Climbing and arcing east maintains 25m separation, avoids GNSS-denied low-altitude drift near obstacle, and preserves time-to-go. Direct or low-altitude paths risk collision due to sensor degradation and wind-induced drift. NFZ violation and hold maneuvers waste critical time under battery and mission duration constraints." 2025-11-01T18:05:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Suburban_Mapping_in_Cold_Weather_8ec303026e10_mcq.json,uavbench-mcq-v1,VTOL_Suburban_Mapping_in_Cold_Weather,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During comms loss at 50m altitude in icing conditions, what ensures continued mission integrity with dynamic obstacle avoidance?","This is a VTOL tiltrotor UAV mission for suburban aerial mapping in cold weather with icing conditions. The operation takes place in a defined suburban airspace with a maximum altitude of 150 meters AGL and a geofenced area bounded by a polygon. Wind is from 240 degrees at 7 m/s at ground level, increasing to 10 m/s at 100 meters with a shift in direction. The UAV carries an RGB camera and LiDAR payload for mapping, with GNSS, IMU, and other standard sensors active. Significant constraints include GNSS multipath effects, a static no-fly zone over a cylinder near the center, and a moving no-fly zone drifting southwest. A dynamic obstacle moves horizontally through the airspace, and another UAV travels eastward at low altitude, requiring separation. The mission requires a runway for takeoff and landing, with a time budget of 10 minutes and a grid-style waypoint pattern at 50 meters altitude. Icing conditions are simulated during flight, affecting performance, and a brief comms loss window occurs mid-mission. The UAV must manage battery reserves carefully, especially during transitions between hover and forward flight, while avoiding collisions and maintaining safe separation.",Switch to pre-encrypted inertial-only mode with local obstacle detection,Maintain GNSS navigation with unverified position updates,Transmit unencrypted telemetry every 10 seconds,Accept all commands from secondary ground station,Disable LiDAR to save power during icing,Rely solely on IMU without sensor fusion,Abort mission immediately on first packet loss,"[""Switch to pre-encrypted inertial-only mode with local obstacle detection"", ""Maintain GNSS navigation with unverified position updates"", ""Transmit unencrypted telemetry every 10 seconds"", ""Accept all commands from secondary ground station"", ""Disable LiDAR to save power during icing"", ""Rely solely on IMU without sensor fusion"", ""Abort mission immediately on first packet loss""]","A ensures control stability via encrypted inertial navigation and maintains situational awareness using onboard sensors. It mitigates cyber threats by rejecting unverified data and physical risks by detecting dynamic obstacles locally. Other options compromise data integrity, availability, or fail to sustain resilient control during adversarial or fault conditions." 2025-11-01T18:05:22Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Survey_in_Volcanic_Zone_under_Cold_Extremes_ea0ad7586594_mcq.json,uavbench-mcq-v1,VTOL_Survey_in_Volcanic_Zone_under_Cold_Extremes,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"At 240s, UAV must survey near plume at 280m AGL with 60% performance loss at 250s; dynamic NFZ moves west at 3 m/s.","VTOL tiltrotor UAV conducts a corridor survey mission in a volcanic zone with extreme cold and icing risks. The operation occurs within a defined 2000m x 1500m geofenced area, with altitude limits between 10m and 300m AGL. Strong winds up to 12 m/s increase with altitude and shift direction, while thermal updrafts near volcanic plumes create localized turbulence. The UAV carries RGB and thermal cameras for data collection, with additional payload mass affecting aerodynamics. GNSS signals suffer from multipath interference and moderate jamming, compounded by electromagnetic interference in the environment. A static no-fly zone surrounds a central hazard, and a dynamic no-fly zone moves slowly through the area. The mission requires runway-assisted takeoff and landing, with a preferred runway at the southeast corner. Icing conditions are expected between 250–310 seconds, reducing performance by 60% during that period. Traffic and a rising spherical obstacle introduce collision risks, requiring adherence to separation minima and DAA thresholds.","Climb to 300m, survey for 40s, then land at southeast runway","Descend to 100m, wait 30s, survey at 200m, return to southeast runway","Proceed to plume at 280m, complete survey before 250s, then exit north","Delay survey, orbit west at 150m until 300s, then proceed at 250m","Ascend rapidly to 290m, survey from 250–270s, descend southeast to runway","Divert to northern landing zone, skip plume survey, land immediately","Maintain 280m, extend survey to 320s, land at southeast runway","[""Climb to 300m, survey for 40s, then land at southeast runway"", ""Descend to 100m, wait 30s, survey at 200m, return to southeast runway"", ""Proceed to plume at 280m, complete survey before 250s, then exit north"", ""Delay survey, orbit west at 150m until 300s, then proceed at 250m"", ""Ascend rapidly to 290m, survey from 250–270s, descend southeast to runway"", ""Divert to northern landing zone, skip plume survey, land immediately"", ""Maintain 280m, extend survey to 320s, land at southeast runway""]","Icing reduces performance from 250–310s, making high-altitude operations risky. Option B avoids icing-critical altitude during peak degradation and respects NFZ movement and runway policy. Other options violate altitude, timing, or endurance constraints under reduced performance." 2025-11-01T18:05:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Swarm_Coordination_in_Sandstorm_at_Wind_Farm_5b3f551fc3db_mcq.json,uavbench-mcq-v1,VTOL_Swarm_Coordination_in_Sandstorm_at_Wind_Farm,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,B,False,"At 400s, sandstorm reduces visibility to 100m; UAVs must inspect corridor and land via 350m runway with 30% battery reserve.","This mission involves a VTOL tiltrotor UAV swarm conducting an inspection at a wind farm in active sandstorm conditions with poor visibility. The operation takes place within a defined polygonal airspace containing static and moving no-fly zones, including a central cylinder exclusion zone around a critical structure. Winds are strong and variable, increasing with altitude up to 18 m/s from the west-southwest, with gusts adding turbulence. The UAVs are equipped with GNSS, IMU, lidar, and RGB cameras, but face GNSS multipath, jamming, and electromagnetic interference. The swarm consists of four UAVs with distinct roles—leader, follower, relay, and scout—required to maintain at least 25 meters of separation. A key constraint is the need to use a designated runway for landing, aligned with a 350-meter threshold, complicating approach paths. The UAVs must complete a corridor inspection pattern within 600 seconds while navigating dynamic obstacles and another traffic UAV moving through the airspace. Battery endurance is limited, with a 30% reserve required, and energy consumption is impacted by high wind and sandstorm-induced drag. Two fault events occur: GNSS jamming at 200 seconds and a moderate sandstorm at 400 seconds, degrading sensor performance. Communication downlink is lost during a critical 60-second window, reducing telemetry availability.",Descend to 20m AGL for better lidar clarity,Reroute east to avoid central exclusion cylinder,Climb to 120m to reduce sandstorm drag,Hold at current altitude until sandstorm passes,Advance inspection pattern using IMU-only navigation,Cut through moving NFZ to save 45s,Divert to nearest edge for emergency landing,"[""Descend to 20m AGL for better lidar clarity"", ""Reroute east to avoid central exclusion cylinder"", ""Climb to 120m to reduce sandstorm drag"", ""Hold at current altitude until sandstorm passes"", ""Advance inspection pattern using IMU-only navigation"", ""Cut through moving NFZ to save 45s"", ""Divert to nearest edge for emergency landing""]","Rerouting east maintains separation from the central exclusion zone while preserving energy and visibility within sensor limits. It avoids the sandstorm core and aligns with the 350m runway approach, ensuring timely, safe landing within battery constraints. Other options breach NFZs, increase risk during GNSS outages, or fail to meet approach alignment or endurance requirements." 2025-11-01T18:05:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Thermal_Soaring_in_Snowfall_at_Airport_Perimeter_fe31cbcc8de3_mcq.json,uavbench-mcq-v1,VTOL_Thermal_Soaring_in_Snowfall_at_Airport_Perimeter,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During GNSS degradation at (350, 420) with 1-minute icing, which action ensures control and data integrity?","This mission involves a VTOL tiltrotor UAV conducting a survey along a corridor near an airport perimeter. The flight operates in poor visibility due to active snowfall and icing conditions, with moderate winds increasing with altitude and shifting direction. The UAV is equipped with a thermal camera and radar, supporting dual-sensor payload operations in challenging winter weather. It must navigate within a defined geofenced airspace, avoiding both static and moving no-fly zones, including a dynamic obstacle near a runway. GNSS signals are degraded by multipath effects and electromagnetic interference, requiring robust navigation solutions. The mission includes thermal soaring near an updraft zone at (350, 420) to extend endurance, leveraging vertical air currents. A fault injection simulates moderate airframe icing lasting one minute, testing resilience under adverse conditions. Uplink and downlink experience brief communication losses, while maintaining overall connectivity. The UAV must adhere to separation standards with nearby traffic and complete its waypoint route within a 10-minute window, concluding with a runway-assisted landing.",Switch to encrypted INS with radar-aided terrain matching,Rely solely on thermal camera for position updates,Increase GNSS update frequency to override multipath,Transmit unencrypted telemetry to reduce communication delay,Accept all ATC commands without cryptographic verification,Disable intrusion detection to prioritize flight control loops,Use open-link mesh for extended uplink range,"[""Switch to encrypted INS with radar-aided terrain matching"", ""Rely solely on thermal camera for position updates"", ""Increase GNSS update frequency to override multipath"", ""Transmit unencrypted telemetry to reduce communication delay"", ""Accept all ATC commands without cryptographic verification"", ""Disable intrusion detection to prioritize flight control loops"", ""Use open-link mesh for extended uplink range""]","Encrypted INS with radar terrain matching preserves navigation integrity during GNSS spoofing or jamming. It maintains secure, authenticated state estimation while supporting control stability under icing. Other options expose communication or sensor vulnerabilities that compromise resilience." 2025-11-01T18:05:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Thermal_Soaring_at_Bridge_Site_e4d65ab145a2_mcq.json,uavbench-mcq-v1,VTOL_Thermal_Soaring_at_Bridge_Site,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,How should the UAV adjust its flight path at 8 m/s wind with a 30-second GNSS fault and thermal updrafts?,"This mission involves a VTOL tiltrotor UAV conducting a bridge inspection in a designated airspace with a polygonal geofence and multiple no-fly zones. The UAV is equipped with thermal and RGB cameras, LiDAR, and standard navigation sensors, supporting inspection objectives. Operations occur in moderate wind conditions of 8 m/s with gusts up to 4 m/s, increasing with altitude, and a risk of lightning is present. The UAV must navigate around a static no-fly cylinder near the bridge center and avoid a moving obstacle drifting eastward at 0.8 m/s. Thermal updrafts are available at two locations, enabling potential energy-saving thermal soaring. GNSS multipath effects and electromagnetic interference are present, with a scheduled GNSS jamming fault lasting 30 seconds at mid-mission. The UAV must follow a corridor inspection pattern between five waypoints and return to land at a designated runway threshold. Battery endurance is constrained, with a 30% reserve required, and flight time limited to 600 seconds. Air traffic includes a crossing UAV moving northward outside the geofence, requiring separation monitoring. The scenario enforces strict separation thresholds, comms loss windows, and fault resilience testing under realistic environmental and navigational challenges.",Climb to max altitude for wind clearance and thermal gain,Descend to reduce wind impact and save battery,"Maintain altitude, avoid thermals, and use IMU during GNSS loss","Drift with wind to conserve energy, delaying waypoint arrival",Accelerate to complete corridor before GNSS fault onset,Circle thermal updrafts immediately upon detection,"Reduce speed, follow lower-altitude path, use LiDAR for positioning","[""Climb to max altitude for wind clearance and thermal gain"", ""Descend to reduce wind impact and save battery"", ""Maintain altitude, avoid thermals, and use IMU during GNSS loss"", ""Drift with wind to conserve energy, delaying waypoint arrival"", ""Accelerate to complete corridor before GNSS fault onset"", ""Circle thermal updrafts immediately upon detection"", ""Reduce speed, follow lower-altitude path, use LiDAR for positioning""]","Reducing speed improves control stability in gusts and lowers energy use, while a lower path minimizes wind exposure and leverages LiDAR to counter GNSS jamming. This balances energy, navigation resilience, and safety, unlike options risking drift, delay, or sensor reliance." 2025-11-01T18:05:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Tiltrotor_Swarm_Coordination_at_Airport_Perimeter_in_Hail_af64441c0468_mcq.json,uavbench-mcq-v1,VTOL_Tiltrotor_Swarm_Coordination_at_Airport_Perimeter_in_Hail,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 110 m AGL, 15 m/s winds and hail reduce visibility to 40 m. GNSS degrades with 3 m drift. Which navigation strategy maintains precision and swarm separation?","This scenario involves a swarm of four VTOL tiltrotor UAVs conducting an inspection mission around an airport perimeter. The mission takes place in controlled airspace near active runways, with strict altitude limits between 10 and 120 meters AGL. Weather conditions are severe, featuring strong winds up to 15 m/s at higher altitudes, wind shear, poor visibility, and active hail. Each UAV is equipped with GNSS, IMU, radar, lidar, and RGB cameras, supporting navigation and obstacle detection despite challenging conditions. The swarm must navigate around static and dynamic no-fly zones, including a moving obstacle and a drifting exclusion cylinder. GNSS signals are degraded by multipath effects and moderate jamming, while electromagnetic interference and periodic uplink losses add communication challenges. The UAVs must maintain a minimum 15-meter inter-vehicle separation and avoid conflicts with a single intruder UAV on a crossing path. A critical icing event occurs mid-mission, degrading performance for 60 seconds. The mission requires coordination among leader, follower, relay, and scout roles, with reliance on a runway-aligned flight path and emergency landing zones. Battery endurance is limited, demanding efficient routing within the 600-second time budget to complete the corridor inspection successfully.",Prioritize GNSS with drift correction from radar altimeter,Switch entirely to IMU dead reckoning for 90 seconds,Fuse lidar SLAM with radar obstacle tracking and IMU,Descend to 20 m AGL using GPS-only in clear air below,Rely on RGB optical flow despite low visibility and hail,Use leader's GNSS to broadcast position to all swarm,Increase formation spacing to 30 m to buffer GNSS error,"[""Prioritize GNSS with drift correction from radar altimeter"", ""Switch entirely to IMU dead reckoning for 90 seconds"", ""Fuse lidar SLAM with radar obstacle tracking and IMU"", ""Descend to 20 m AGL using GPS-only in clear air below"", ""Rely on RGB optical flow despite low visibility and hail"", ""Use leader's GNSS to broadcast position to all swarm"", ""Increase formation spacing to 30 m to buffer GNSS error""]","Lidar SLAM provides local consistency despite GNSS drift, while radar tracks dynamic obstacles in poor visibility. Fusing with IMU maintains temporal coherence during GNSS outages. This approach mitigates wind-induced motion blur and maintains swarm separation under sensor degradation." 2025-11-01T18:05:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Tiltrotor_Moving_NFZ_Thermal_Rural_f7c1d3a26f65_mcq.json,uavbench-mcq-v1,VTOL_Tiltrotor_Moving_NFZ_Thermal_Rural,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,How should the UAV adjust for wind and moving NFZ while conserving energy and maintaining 50 m separation within 600 s?,"This scenario involves a VTOL tiltrotor UAV conducting a rural survey mission in an airspace with a moving no-fly zone. The UAV operates within a 300 m AGL ceiling and must avoid both static and dynamic NFZs, including a cylinder moving eastward at 2 m/s. Weather includes a 6 m/s westerly wind with increasing speed and veer aloft, along with thermal updrafts providing lift up to 2.5 m/s. The UAV is equipped with standard sensors including GNSS, IMU, and LIDAR but lacks thermal imaging capability. Mission constraints include a required runway for operations and adherence to a corridor flight pattern across four waypoints. A single traffic UAV and a moving spherical obstacle add complexity to navigation. Communication experiences brief uplink/downlink outages between steps 100–110 and 400–415. The UAV must maintain separation of at least 50 m from traffic, with DAA monitoring TTC and minimum separation. Battery capacity is limited to 1200 Wh with a 30% reserve, and flight time is constrained to 600 seconds. GNSS performance remains stable with no multipath or jamming issues.",Climb to 300 m AGL to maximize thermal lift and avoid NFZ,Descend below 100 m AGL to reduce wind exposure and save power,Fly east at 8 m/s to outrun the moving NFZ and traffic,Decelerate to 4 m/s and ascend to 250 m for thermal updrafts,Maintain 6 m/s with lateral offset to avoid NFZ and traffic,Hover for 30 s to wait out NFZ movement during comms outage,Increase speed to 10 m/s to finish mission before battery depletion,"[""Climb to 300 m AGL to maximize thermal lift and avoid NFZ"", ""Descend below 100 m AGL to reduce wind exposure and save power"", ""Fly east at 8 m/s to outrun the moving NFZ and traffic"", ""Decelerate to 4 m/s and ascend to 250 m for thermal updrafts"", ""Maintain 6 m/s with lateral offset to avoid NFZ and traffic"", ""Hover for 30 s to wait out NFZ movement during comms outage"", ""Increase speed to 10 m/s to finish mission before battery depletion""]","Ascending to 250 m leverages thermal updrafts (≤2.5 m/s) to reduce power use while maintaining safe altitude below 300 m. Slowing to 4 m/s improves control stability in 6 m/s westerly wind and extends separation time from traffic and moving NFZ. This balances energy conservation, aerodynamic efficiency, navigation accuracy, and safety compliance within battery and time limits." 2025-11-01T18:05:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Tiltrotor_Urban_Canyon_GNSS_Challenge_Arctic_Gusts_7fbce3877555_mcq.json,uavbench-mcq-v1,VTOL_Tiltrotor_Urban_Canyon_GNSS_Challenge_Arctic_Gusts,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,Plan a reroute at 85 m AGL around a moving obstacle in 15 m/s gusts with 45-second GNSS loss and icing.,"This mission involves a VTOL tiltrotor UAV conducting an inspection in an arctic urban canyon environment. The airspace is constrained between 10 and 120 meters AGL with a static no-fly zone and a moving no-fly zone. Winds are strong and gusty, increasing with altitude up to 15 m/s, coming from the west and worsening near the surface due to poor visibility and icing conditions. The UAV is equipped with a battery-powered propulsion system, RGB camera, LiDAR, and standard navigation sensors, but lacks radar and thermal imaging. GNSS signals are degraded due to multipath effects, jamming at -85 dBm, and a planned 45-second GNSS jamming fault. The mission must navigate around a dynamic obstacle moving through the corridor and avoid a second UAV traveling westward. Communication downlink is lost during critical phases, coinciding with GNSS jamming and an icing event that reduces aerodynamic efficiency. The UAV must follow a runway-assisted takeoff and landing profile with required transition times between hover and forward flight. Key constraints include maintaining separation from traffic and obstacles, avoiding NFZ breaches, and completing the mission within 600 seconds despite energy drain from gusts, icing, and manoeuvres.","Climb to 110 m AGL, arc left around NFZ with 30° bank","Descend to 15 m AGL, fly direct through urban canyon","Hold hover at 85 m AGL, resume after GNSS returns","Turn right, descend to 12 m AGL, bypass obstacle south","Accelerate west at 85 m AGL, reduce exposure time","Transition to forward flight, climb to 125 m AGL","Bank left 20°, maintain 85 m AGL, delay transition","[""Climb to 110 m AGL, arc left around NFZ with 30° bank"", ""Descend to 15 m AGL, fly direct through urban canyon"", ""Hold hover at 85 m AGL, resume after GNSS returns"", ""Turn right, descend to 12 m AGL, bypass obstacle south"", ""Accelerate west at 85 m AGL, reduce exposure time"", ""Transition to forward flight, climb to 125 m AGL"", ""Bank left 20°, maintain 85 m AGL, delay transition""]","Maintaining 85 m AGL stays within the 10–120 m AGL corridor and avoids the static NFZ. A 20° bank allows efficient lateral maneuvering while preserving energy and minimizing drift during GNSS loss. Other options breach altitude limits, increase exposure to gusts or NFZ, or waste time." 2025-11-01T18:05:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Tiltrotor_Powerline_Survey_in_Sandstorm_d156504b4a42_mcq.json,uavbench-mcq-v1,VTOL_Tiltrotor_Powerline_Survey_in_Sandstorm,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"With 1200Wh battery, 30% reserve, and 600s mission, which action optimizes power under sandstorm drag and partial motor failure?","This mission involves a VTOL tiltrotor UAV conducting a powerline corridor survey in a desert environment experiencing active sandstorm conditions with poor visibility. The flight occurs within a defined rectangular airspace of 800m by 600m, with altitude restricted between 10m and 120m AGL. Winds are strong and variable, increasing from 12 m/s at ground level to 18 m/s at 100m altitude, with shifting direction and gusts up to 6 m/s. The UAV is equipped with a comprehensive sensor suite including GNSS, IMU, LiDAR, radar, RGB and thermal cameras, supporting inspection and navigation in degraded visual environments. A static no-fly zone blocks the central area, while a dynamic no-fly zone and a moving spherical obstacle drift through the corridor, requiring real-time avoidance. Air traffic includes a conflicting UAV approaching from outside the geofence, and separation monitoring is enforced with a 25m threshold and 15-second time-to-closest-approach limit. The UAV faces GNSS jamming for 30 seconds and a partial motor failure, compounded by two communication outages affecting uplink and downlink. Battery capacity is limited to 1200Wh with a 30% reserve, and energy consumption is impacted by wind and sandstorm drag. Payload includes inspection sensors adding 1.2kg mass and aerodynamic drag. The mission must be completed within 600 seconds across a five-waypoint corridor pattern, with autonomous transitions between vertical and forward flight modes.",Increase speed to reduce sandstorm exposure time,Descend to 10m to minimize wind drag and conserve power,Disable thermal camera to save 45W during inspection leg,Hover and wait for wind gusts to subside,Switch to full RGB mode for better visibility,Extend flight path to avoid dynamic obstacle with wide margin,Transmit all LiDAR data at 80 Mbps continuously,"[""Increase speed to reduce sandstorm exposure time"", ""Descend to 10m to minimize wind drag and conserve power"", ""Disable thermal camera to save 45W during inspection leg"", ""Hover and wait for wind gusts to subside"", ""Switch to full RGB mode for better visibility"", ""Extend flight path to avoid dynamic obstacle with wide margin"", ""Transmit all LiDAR data at 80 Mbps continuously""]","Flying at 10m reduces wind resistance, where winds are weakest, directly cutting power use. This conserves energy for mission completion and reserve. Other options increase consumption or risk reserve depletion." 2025-11-01T18:05:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Touch_and_Go_Industrial_Runway_60d9f111d32f_mcq.json,uavbench-mcq-v1,VTOL_Touch_and_Go_Industrial_Runway,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 235 seconds, winds 8 m/s gusting 4.5 m/s, microburst risk high, GNSS jamming imminent at 240s—what action prioritizes safety?","This is a VTOL touch-and-go mission at an industrial plant runway. The UAV is a tiltrotor VTOL with a 2.0 kg optical payload and standard navigation sensors. Operations occur within a 400x300 m polygon with a maximum altitude of 120 m AGL. A cylindrical no-fly zone is present near the runway centerline. Moderate winds blow from 240° at 8 m/s with gusts up to 4.5 m/s. A microburst risk adds atmospheric instability during flight. The UAV must follow a linear corridor pattern along a 350 m runway aligned at 240°. A second UAV and a moving spherical obstacle create dynamic traffic hazards. GNSS jamming is expected at 240 seconds for 30 seconds with 80% severity. Radio signal loss may occur briefly at 120 and 450 seconds into the mission.","Continue approach, reduce speed to 12 m/s",Climb to 120 m to avoid jamming effects,"Abort mission, divert to safe holding point",Descend below 30 m to stabilize in wind shear,"Switch to manual control, proceed to touchdown",Accelerate through corridor before jamming starts,Eject payload to reduce weight and risk,"[""Continue approach, reduce speed to 12 m/s"", ""Climb to 120 m to avoid jamming effects"", ""Abort mission, divert to safe holding point"", ""Descend below 30 m to stabilize in wind shear"", ""Switch to manual control, proceed to touchdown"", ""Accelerate through corridor before jamming starts"", ""Eject payload to reduce weight and risk""]","With GNSS jamming imminent, high wind gusts, and microburst risk, continuing increases collision and loss-of-control hazards. The presence of a second UAV and moving obstacle heightens traffic complexity near the runway. Aborting ensures safety-of-life takes priority over mission completion, aligning with ethical and aviation safety standards under uncertain, high-risk conditions." 2025-11-01T18:05:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_at_Airport_Perimeter_e8a26ed4002e_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_at_Airport_Perimeter,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"During VTOL transition at 60 m AGL, wind from 240° at 6.5 m/s with gusts to 3.2 m/s affects alignment; how should the tiltrotor coordinate transition timing?","Mission involves a VTOL transition test during a survey flight near an airport perimeter. The UAV operates within a defined polygonal airspace bounded between 0 and 120 meters AGL. Weather includes moderate winds from 240° at 6.5 m/s with gusts up to 3.2 m/s and good visibility. Thermal updrafts are present near two plume zones, offering potential lift. The UAV is a tiltrotor VTOL with a battery-powered propulsion system and a visual RGB camera payload. GNSS signals are degraded due to multipath effects and mild jamming at -95 dBm. A static no-fly zone surrounds a central cylinder near the runway, with an additional moving no-fly zone shifting southwest. Air traffic includes a crossing UAV approaching from outside the perimeter. The mission requires runway-aligned takeoff and landing with precise VTOL-to-fixed-wing and back transitions. Communication experiences brief uplink/downlink losses at two intervals during flight.",Delay transition until wind drops below 5 m/s,Proceed immediately to minimize exposure,Synchronize transition with crossing UAV's closest point,Climb to 80 m AGL before transitioning to avoid turbulence,Transition downwind to leverage tailwind boost,Use thermal updraft near plume zone to assist lift phase,Execute transition during uplink/downlink loss to reduce interference,"[""Delay transition until wind drops below 5 m/s"", ""Proceed immediately to minimize exposure"", ""Synchronize transition with crossing UAV's closest point"", ""Climb to 80 m AGL before transitioning to avoid turbulence"", ""Transition downwind to leverage tailwind boost"", ""Use thermal updraft near plume zone to assist lift phase"", ""Execute transition during uplink/downlink loss to reduce interference""]","Coordinating transition with the crossing UAV's closest point ensures deconfliction and predictable behavior under degraded GNSS and communication. This minimizes collision risk and aligns with air traffic awareness, preserving team situational coordination. Other options either increase risk during critical flight phases or violate communication and timing constraints." 2025-11-01T18:05:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_at_Airport_Perimeter_with_Microburst_Risk_74ac07b72495_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_at_Airport_Perimeter_with_Microburst_Risk,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,G,False,"During 30s GNSS jamming at 100m with 13.5 m/s winds, how should the UAV maintain position integrity and avoid a moving obstacle?","This scenario involves a VTOL transition test mission near an airport perimeter. The hexacopter UAV is conducting an inspection along a linear corridor between waypoints. It operates in controlled airspace with a maximum altitude of 120 m AGL and a geofenced no-fly zone over a cylinder near the center. Weather includes strong winds up to 13.5 m/s at 100 m altitude and a risk of microbursts, with wind direction shifting from 240° to 260°. The UAV carries an RGB camera payload and relies on GNSS, IMU, and other standard sensors. A critical constraint is a temporary GNSS jamming fault lasting 30 seconds during flight. The mission requires safe transition between hover and forward flight, with defined transition durations. Air traffic includes a crossing UAV, and a moving spherical obstacle traverses the flight path. Communication experiences two brief downlink/uplink loss windows, and separation monitoring is enforced with a 25-meter threshold. The UAV must avoid geofence and altitude violations while completing the mission within the time and battery limits.",Switch to IMU-only dead reckoning with encrypted uplink commands,Rely on unverified ADS-B data to adjust trajectory,Disable geofence checks to prioritize obstacle avoidance,Use open-loop control with periodic unauthenticated heartbeat signals,Increase GNSS update weight to override IMU drift,Activate fallback to last-known GPS position without authentication,Engage vision-aided navigation with authenticated telemetry downlink,"[""Switch to IMU-only dead reckoning with encrypted uplink commands"", ""Rely on unverified ADS-B data to adjust trajectory"", ""Disable geofence checks to prioritize obstacle avoidance"", ""Use open-loop control with periodic unauthenticated heartbeat signals"", ""Increase GNSS update weight to override IMU drift"", ""Activate fallback to last-known GPS position without authentication"", ""Engage vision-aided navigation with authenticated telemetry downlink""]","Vision-aided navigation maintains position integrity during GNSS jamming by fusing camera data with trusted IMU, reducing drift. Authenticated telemetry ensures command integrity despite uplink risks. This preserves control stability, avoids spoofing, and enables obstacle detection under encrypted, resilient sensing." 2025-11-01T18:05:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_TouchAndGo_Industrial_Lightning_2630cdca28f9_mcq.json,uavbench-mcq-v1,VTOL_TouchAndGo_Industrial_Lightning,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which UAV configuration best handles 8.5 m/s winds, GNSS jamming at 320 s, and motor failure at 480 s with 0.5 kg payload?","This is a VTOL touch-and-go mission at an industrial plant with a designated runway. The UAV is a tiltrotor VTOL with a battery-powered propulsion system and a 0.5 kg payload. It carries RGB camera, LiDAR, GNSS, IMU, magnetometer, and barometer sensors. The airspace is constrained between 10 m and 120 m AGL within a polygonal geofence. A cylindrical no-fly zone (20 m radius, 10–60 m altitude) sits near the center of the area. Weather includes 8.5 m/s winds from 240°, gusts up to 4.2 m/s, and a lightning risk. The mission requires a single touch-and-go along a straight corridor pattern. A second UAV and a moving spherical obstacle create dynamic collision risks. GNSS jamming occurs at 320 seconds and a motor failure at 480 seconds. Communication suffers downlink loss and an uplink disruption between 310–355 seconds.","Monoprop VTOL, no LiDAR, 12-min endurance","Fixed-wing, 15-min endurance, no GNSS redundancy","Quadcopter, 8-min flight time, no barometer","Tiltrotor, IMU-GPS-INS fusion, dual motors, LiDAR","Glider VTOL, 20-min endurance, no magnetometer","Coaxial rotor, 10-min battery, no GNSS/IMU fusion","Hybrid airship, 25-min endurance, high wind sensitivity","[""Monoprop VTOL, no LiDAR, 12-min endurance"", ""Fixed-wing, 15-min endurance, no GNSS redundancy"", ""Quadcopter, 8-min flight time, no barometer"", ""Tiltrotor, IMU-GPS-INS fusion, dual motors, LiDAR"", ""Glider VTOL, 20-min endurance, no magnetometer"", ""Coaxial rotor, 10-min battery, no GNSS/IMU fusion"", ""Hybrid airship, 25-min endurance, high wind sensitivity""]","The tiltrotor offers VTOL capability and efficient forward flight, critical for the touch-and-go pattern. Sensor fusion (IMU-GNSS-INS) maintains navigation during jamming, while dual motors provide fault tolerance after motor failure. LiDAR enables obstacle avoidance in constrained airspace with dynamic threats, balancing endurance, reliability, and situational awareness." 2025-11-01T18:05:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_at_Bridge_Site_with_Strong_Crosswind_e33f7f164fb8_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_at_Bridge_Site_with_Strong_Crosswind,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During VTOL transition at 100s with GNSS at -75 dBm and 15 m/s crosswind, which action ensures control and data integrity despite jamming and uplink loss?","This is a VTOL transition test mission for a fixed-wing glider UAV conducting an inspection at a bridge site. The UAV is equipped with a battery-powered propulsion system and carries an RGB camera payload for visual data collection. The flight occurs in controlled airspace with a defined geofence, minimum altitude of 10 meters AGL, and a maximum of 150 meters AGL. A strong crosswind of 15 m/s from the west increases to 18 m/s at higher altitudes with directional shear, posing challenges during transition and flight stability. GNSS signals are degraded due to multipath effects and moderate jamming at -75 dBm, while electromagnetic interference further impacts sensor reliability. The mission includes a grid-pattern waypoint route that skirts a static no-fly zone centered at (500, 400) and avoids a moving no-fly zone traveling diagonally across the area. Air traffic includes another UAV entering from the east, and a moving spherical obstacle drifts westward at 3 m/s, requiring dynamic separation. The UAV must maintain a minimum separation of 25 meters to trigger DAA alerts, with comms experiencing brief uplink/downlink outages at 100 and 450 seconds. Battery endurance is critical, with a 30% reserve required and energy consumption influenced by wind-induced drag and maneuvering. The scenario tests robustness in transitioning between flight modes under turbulent wind conditions while maintaining mission integrity and safety constraints.",Switch to encrypted INS/GPS fused mode with authenticated waypoints,Disable telemetry encryption to reduce latency during signal loss,Rely solely on GPS for positioning during transition phase,Use open-loop timer-based actuator commands to save power,Accept unverified commands from ground station during uplink outage,Increase control loop frequency using unauthenticated sensor data,Transmit unencrypted video to ensure downlink utilization,"[""Switch to encrypted INS/GPS fused mode with authenticated waypoints"", ""Disable telemetry encryption to reduce latency during signal loss"", ""Rely solely on GPS for positioning during transition phase"", ""Use open-loop timer-based actuator commands to save power"", ""Accept unverified commands from ground station during uplink outage"", ""Increase control loop frequency using unauthenticated sensor data"", ""Transmit unencrypted video to ensure downlink utilization""]","A ensures resilience by fusing inertial navigation with authenticated GNSS, maintaining control under jamming. It uses encryption and verified commands to preserve data integrity during uplink loss. Other options expose the system to spoofing, untrusted control, or denial-of-service through weak cyber-physical coupling." 2025-11-01T18:05:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_at_Industrial_Plant_bba05d4084b3_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_at_Industrial_Plant,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During GNSS multipath and 2 downlink outages, how should the UAV maintain secure, stable navigation at 110 m AGL?","This scenario involves a VTOL tiltrotor UAV conducting an inspection mission at an industrial plant. The flight occurs in a confined airspace with a maximum altitude of 120 meters AGL and a minimum of 10 meters. Winds are from 240 degrees at 6.5 m/s with moderate gusts of 3.2 m/s. The UAV is equipped with a battery-powered propulsion system and carries a 2 kg payload with an RGB camera and LiDAR for data collection. A static no-fly zone surrounds a critical facility, and a second dynamic no-fly zone moves across the area, requiring real-time avoidance. The mission includes a required runway takeoff and landing, with a transition profile defined between hover and forward flight modes. Another UAV and a moving spherical obstacle operate within the airspace, necessitating separation assurance. Communication includes two brief downlink loss windows, testing resilience in data transmission. GNSS multipath effects may occur near plant structures, challenging navigation accuracy. The mission must be completed within 600 seconds while avoiding collisions, geofence breaches, and low battery conditions.",Rely solely on encrypted GNSS with no fallback,Switch to INS/VIO fusion with local integrity checks,Use unverified ADS-B from other UAV for positioning,Descend immediately to 10 m to avoid spoofing,Broadcast plaintext telemetry for ATC visibility,Lock controls using last GNSS fix until signal clears,Disable LiDAR to save power for comms encryption,"[""Rely solely on encrypted GNSS with no fallback"", ""Switch to INS/VIO fusion with local integrity checks"", ""Use unverified ADS-B from other UAV for positioning"", ""Descend immediately to 10 m to avoid spoofing"", ""Broadcast plaintext telemetry for ATC visibility"", ""Lock controls using last GNSS fix until signal clears"", ""Disable LiDAR to save power for comms encryption""]","B preserves navigation integrity during GNSS multipath by fusing inertial and visual data with local verification. It maintains control stability and encrypted comms resilience during downlinks. Other options either expose the system to spoofing, deny availability, or weaken cyber-physical defenses." 2025-11-01T18:05:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Cold_Desert_6ad4b40965b2_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Cold_Desert,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which system ensures reliable navigation during VTOL transition at 200 m AGL with 15 m/s winds, icing, and GNSS jamming?","This is a VTOL transition test mission in a cold desert environment. The UAV is a tiltrotor VTOL with a multi-sensor payload including LiDAR, RGB and thermal cameras. The flight occurs within a 300-meter AGL ceiling, bounded by static and moving no-fly zones. Strong westerly winds increase with altitude, reaching 15 m/s at 200 meters, with gusts and wind shear present. Icing conditions are expected, with a simulated icing event occurring mid-mission. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference affects sensor performance. The UAV must transition between hover and forward flight, navigating around a dynamic no-fly zone and a moving obstacle. It must maintain separation from other air traffic and avoid breaching geofences or altitude limits. The mission requires use of a designated runway for takeoff and landing. Battery endurance and sensor reliability are key constraints under the harsh environmental conditions.",Standard GNSS with no redundancy,Dual GNSS with barometric backup,Visual-inertial odometry only,LiDAR-INS fusion with wind estimation,Thermal-camera-based terrain tracking,Single IMU with magnetometer heading,GPS-aided optical flow at low altitude,"[""Standard GNSS with no redundancy"", ""Dual GNSS with barometric backup"", ""Visual-inertial odometry only"", ""LiDAR-INS fusion with wind estimation"", ""Thermal-camera-based terrain tracking"", ""Single IMU with magnetometer heading"", ""GPS-aided optical flow at low altitude""]","LiDAR-INS fusion provides high-update-rate navigation independent of GNSS, critical under jamming and multipath. It enables accurate wind and attitude estimation during transition, essential in 15 m/s winds and icing. Other systems lack robustness to sensor interference or altitude limitations, degrading reliability in this scenario." 2025-11-01T18:05:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Coastal_Cold_Environment_38f0c4e77020_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Coastal_Cold_Environment,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"During VTOL transition at 120s, 8.5 m/s wind from 240°, and moderate icing, what action ensures lift sufficiency while minimizing drag?","This mission involves a VTOL transition test using a convertiplane UAV in a coastal airspace with a maximum altitude of 300 meters AGL. The UAV operates in cold weather conditions with icing reported, moderate winds of 8.5 m/s from 240° increasing with altitude, and gusts up to 4.2 m/s. The UAV is equipped with a battery-powered propulsion system, RGB camera, LiDAR, and standard navigation sensors, carrying a 1.2 kg payload. Key constraints include a static no-fly zone near the center of the area and a moving no-fly zone drifting westward at 2 m/s. The flight must maintain separation of at least 25 meters from other traffic, with a dynamic avoidance system active. GNSS signals are degraded due to multipath effects and mild jamming, and electromagnetic interference is present. The UAV must complete a corridor inspection mission with five waypoints, requiring a runway takeoff and landing, while managing energy use over a 600-second time budget. A fault event simulates moderate icing for 60 seconds starting at 120 seconds into the mission. Communication dropouts occur briefly at 300 and 540 seconds, testing system resilience. The environment includes wind shear and a thermal updraft near the downwind side, adding complexity to flight control and energy management.",Increase collective pitch rapidly to gain lift,Reduce forward airspeed to decrease induced drag,"Advance rotor tilt slowly, aligning with wind vector",Maximize fixed-wing angle of attack immediately,Retract landing gear pre-transition to reduce weight,Apply full cyclic to accelerate transition phase,Decrease rotor RPM to shift load to wings early,"[""Increase collective pitch rapidly to gain lift"", ""Reduce forward airspeed to decrease induced drag"", ""Advance rotor tilt slowly, aligning with wind vector"", ""Maximize fixed-wing angle of attack immediately"", ""Retract landing gear pre-transition to reduce weight"", ""Apply full cyclic to accelerate transition phase"", ""Decrease rotor RPM to shift load to wings early""]","Gradual rotor tilt aligns thrust vector with airflow, ensuring smooth lift transfer from rotors to wings under wind and icing. Sudden changes risk stall or excessive drag. This balances aerodynamic efficiency and control in degraded conditions." 2025-11-01T18:05:24Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Dense_Urban_Hail_7b33e860b4f1_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Dense_Urban_Hail,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,Which system ensures reliable navigation during 30s GNSS jamming at -75 dBm and 8.5 m/s winds with lidar/radar fusion?,"This is a VTOL transition test mission in a dense urban environment with active hail and poor visibility. The UAV is a fuel-powered helicopter with a 5kg payload, equipped with lidar, radar, RGB camera, and standard navigation sensors. It operates within a 400m AGL ceiling, avoiding two no-fly zones—one static and one moving—while navigating around a drifting spherical obstacle. Winds are strong at 8.5 m/s from 240 degrees with gusts up to 4 m/s, increasing flight complexity. GNSS signals are degraded due to multipath effects and intentional jamming at -75 dBm, with a simulated 30-second GNSS jamming fault and a 60-second icing event. The mission involves an inspection route following a corridor pattern through five waypoints, requiring precise maneuvering near buildings. A single other UAV is present, moving at 12 m/s on a fixed path, necessitating DAA compliance with a 25m separation threshold. Communication experiences brief uplink/downlink outages between 200–210s and 500–520s, with minimum RSSI at -85 dBm. The UAV must avoid geofence and altitude violations while managing fuel and sensor performance under adverse conditions. The scenario emphasizes robustness in navigation, fault tolerance, and dynamic obstacle avoidance in challenging urban weather.",Pure GNSS-INS with no redundancy,Vision-only SLAM in poor visibility,Lidar-radar-INS sensor fusion,GPS-dependent autopilot with no backup,Low-cost IMU without drift correction,Radar-only navigation ignoring lidar,Dead reckoning after signal loss,"[""Pure GNSS-INS with no redundancy"", ""Vision-only SLAM in poor visibility"", ""Lidar-radar-INS sensor fusion"", ""GPS-dependent autopilot with no backup"", ""Low-cost IMU without drift correction"", ""Radar-only navigation ignoring lidar"", ""Dead reckoning after signal loss""]","Lidar-radar-INS fusion maintains accuracy during GNSS denial and poor visibility by combining high-resolution terrain mapping with Doppler wind compensation. Other options fail in at least one key domain: GNSS-only systems degrade under jamming, vision/SLAM suffers in hail, and dead reckoning accumulates drift. This solution optimizes fault tolerance, environmental adaptability, and sensor cross-validation under wind and icing." 2025-11-01T18:05:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Dense_Urban_with_Microburst_Risk_609c095a91ab_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Dense_Urban_with_Microburst_Risk,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 110 m AGL, winds hit 15 m/s with gusts; microburst risk looms. How should the UAV respond to maintain safety and mission integrity?","This is a VTOL transition test mission in a dense urban environment. The UAV is a fixed-wing glider equipped with RGB camera payload and standard avionics. It operates within a defined airspace bounded between 10 and 120 meters AGL, confined by a polygonal geofence. The area includes a static no-fly zone centered at (300, 300) and a moving restricted zone drifting northeast at 2.1 m/s. Strong westerly winds increase with altitude, peaking at 15 m/s at 100 meters, with gusts up to 4.5 m/s and a microburst risk. GNSS signals face multipath interference and moderate jamming at -85 dBm, compounded by electromagnetic interference. A thermal updraft of 1.8 m/s exists near (320, 280), potentially affecting lift and trajectory. The mission involves a grid survey with five waypoints, requiring precise navigation around obstacles and dynamic zones. A conflicting UAV enters the airspace from the southeast at 12 m/s, demanding separation assurance below 25 meters threshold. Communication experiences two brief downlink/uplink loss windows, adding operational risk during critical phases.",Descend to 90 m AGL and continue survey,Climb to 120 m AGL for smoother airflow,Enter VTOL mode and hover at current position,Divert east to avoid microburst and descend to 80 m AGL,Proceed to next waypoint at 110 m AGL,Accelerate forward to outrun gust effects,Turn south and land at nearest runway,"[""Descend to 90 m AGL and continue survey"", ""Climb to 120 m AGL for smoother airflow"", ""Enter VTOL mode and hover at current position"", ""Divert east to avoid microburst and descend to 80 m AGL"", ""Proceed to next waypoint at 110 m AGL"", ""Accelerate forward to outrun gust effects"", ""Turn south and land at nearest runway""]","Descending below 100 m reduces exposure to peak winds and microburst risk while maintaining safe AGL margins. Diverting east avoids the high-risk zone and aligns with separation needs from the conflicting UAV below 25 m. Other options either increase wind risk, waste energy, or violate operational ceilings or separation constraints." 2025-11-01T18:05:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Desert_63f238df1f60_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Desert,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 180m AGL, winds reach 11 m/s with gusts while transitioning near a thermal updraft; what ensures safe, efficient transition?","This is a VTOL transition test mission in a desert environment. The UAV is a tiltrotor VTOL aircraft conducting a survey along a corridor of waypoints. It operates within a 300-meter AGL altitude limit and a defined polygonal airspace, avoiding two no-fly zones—one static and one moving. The UAV transitions between vertical and fixed-wing flight with specified timing profiles and must use a designated runway for takeoff and landing. Winds increase with altitude, from 6 m/s at ground level to 12 m/s at 200 meters, with gusts and directional shear. The UAV carries an RGB camera payload but no thermal or LiDAR sensors. A thermal updraft is present near the center of the area, and there is a single traffic UAV moving eastward at low altitude. Communication links experience brief outages, and a moving spherical obstacle traverses the flight path. The scenario emphasizes safe transition, battery management, and adherence to separation and geofence constraints. GNSS performance is nominal with no multipath or jamming issues.",Climb to 210m for smoother airflow despite exceeding limit,Delay transition until wind shear decreases below 8 m/s,Proceed with transition using updraft to assist lift and reduce power,Descend to 150m to avoid gusts and complete transition early,Hold hover until communication link stabilizes for command confirmation,Accelerate transition to minimize exposure to directional wind shear,Divert to alternate runway downwind to reduce groundspeed and energy use,"[""Climb to 210m for smoother airflow despite exceeding limit"", ""Delay transition until wind shear decreases below 8 m/s"", ""Proceed with transition using updraft to assist lift and reduce power"", ""Descend to 150m to avoid gusts and complete transition early"", ""Hold hover until communication link stabilizes for command confirmation"", ""Accelerate transition to minimize exposure to directional wind shear"", ""Divert to alternate runway downwind to reduce groundspeed and energy use""]","Using the thermal updraft enhances aerodynamic lift during transition, reducing required thrust and conserving battery. It maintains flight within the 300m AGL limit and leverages environmental energy while ensuring control stability in gusts. This choice balances energy efficiency, aerodynamic performance, and safety compliance under wind shear and mission constraints." 2025-11-01T18:05:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Desert_with_Thermal_Updrafts_ba589cb8a352_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Desert_with_Thermal_Updrafts,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"During VTOL transition at 150m altitude with 10 m/s headwind, how should pitch and thrust be managed to enter efficient forward flight?","This is a VTOL transition test mission in a desert environment with thermal updrafts and sandstorm conditions. The UAV is a swarm-capable fixed-wing VTOL drone equipped with RGB and thermal cameras. It operates within a 2000m x 2000m geofenced area with a minimum altitude of 10m and maximum of 300m AGL. Winds increase with altitude, reaching 12 m/s at 200m, and two thermal plumes provide lift at specific locations. A static no-fly zone and a moving no-fly cylinder must be avoided, along with a dynamic obstacle and another UAV on a crossing path. GNSS multipath, electromagnetic interference, and a 30-second jamming event at 200 seconds challenge navigation reliability. The drone must transition between VTOL and forward flight, with defined transition times of 8 and 10 seconds respectively. The mission involves a 5-drone swarm with role-based coordination and a minimum separation of 20m between units. Battery endurance and fault tolerance are critical due to motor failure and communication loss windows during the flight.",Increase pitch to 15° and reduce vertical thrust by 40%,Hold pitch at 5° and gradually shift thrust vector forward,Pitch up to 20° while maintaining full vertical thrust,Rapidly decrease collective pitch before airspeed builds,Apply full forward thrust without adjusting attitude,Maintain hover attitude until transition altitude is reached,Reduce total thrust immediately after lift-off,"[""Increase pitch to 15° and reduce vertical thrust by 40%"", ""Hold pitch at 5° and gradually shift thrust vector forward"", ""Pitch up to 20° while maintaining full vertical thrust"", ""Rapidly decrease collective pitch before airspeed builds"", ""Apply full forward thrust without adjusting attitude"", ""Maintain hover attitude until transition altitude is reached"", ""Reduce total thrust immediately after lift-off""]","Gradual thrust vectoring with moderate pitch ensures smooth lift transfer from rotors to wings, avoiding stall and excessive drag. At 150m with 10 m/s headwind, forward airspeed builds sooner, improving aerodynamic efficiency. Other options risk stall, loss of control, or insufficient lift during transition." 2025-11-01T18:05:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Desert_with_Thermal_Updrafts_cbcb54c86ee3_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Desert_with_Thermal_Updrafts,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Which path allows the scout UAV to survey the corridor, avoid thermal updrafts at (800,600) and (1400,900), and maintain 10m separation within 600s?","VTOL transition test mission in a desert environment with thermal updrafts and variable wind conditions. Operating within a defined 2000m x 1500m geofenced airspace with a 5–150m AGL altitude range. Winds increase with altitude from 6 m/s at ground level to 10 m/s at 100m, shifting direction from 240° to 260°. Thermal updrafts present at two locations, creating localized lift zones impacting flight dynamics. Multirotor-fixed-wing hybrid UAV equipped with RGB and thermal cameras for survey tasks. Swarm of four UAVs with distinct roles: leader, follower, scout, and relay, maintaining 10m minimum separation. Mission involves corridor survey pattern with strict time budget of 600 seconds. No-fly zones include a static cylinder near the center and a moving exclusion zone drifting southwest. GNSS signals affected by multipath errors and moderate jamming at -75 dBm, with electromagnetic interference present. Communication links experience brief outages, and UAV must manage battery reserves carefully to complete mission.","Fly direct at 40m AGL, ignoring updrafts to save time","Climb to 120m AGL, bypass updrafts east, descend after","Descend to 20m AGL, skirt updrafts west, resume at 50m",Delay launch by 30s to reset swarm formation,"Cut between updrafts at 80m AGL, accepting 8m separation","Reroute north at 100m AGL, delay survey start by 45s","Adjust heading to 250°, fly 90m AGL corridor, moderate bank","[""Fly direct at 40m AGL, ignoring updrafts to save time"", ""Climb to 120m AGL, bypass updrafts east, descend after"", ""Descend to 20m AGL, skirt updrafts west, resume at 50m"", ""Delay launch by 30s to reset swarm formation"", ""Cut between updrafts at 80m AGL, accepting 8m separation"", ""Reroute north at 100m AGL, delay survey start by 45s"", ""Adjust heading to 250°, fly 90m AGL corridor, moderate bank""]","Option G maintains optimal altitude within the 5–150m AGL range, avoids thermal updrafts laterally with a safe heading adjustment, and preserves swarm separation and timing. It accounts for wind at 90m AGL (10 m/s from 260°) by aligning with prevailing conditions, reducing drift and GNSS correction load. Other options either breach separation, waste time, or expose UAV to destabilizing lift zones." 2025-11-01T18:05:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Forest_Airspace_28adae81b643_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Forest_Airspace,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV system best handles VTOL transitions, sensor fusion for navigation in GNSS-challenged forest terrain, and dynamic no-fly zone avoidance?","This is a VTOL transition test mission in a forested area using a convertiplane UAV. The UAV conducts a survey along a corridor pattern with transitions between vertical and fixed-wing flight. The airspace includes a static no-fly zone and a moving no-fly zone, requiring dynamic avoidance. The environment features moderate winds increasing with altitude and directional shear, along with thermal updrafts. GNSS multipath and mild jamming are present, challenging navigation reliability. The UAV carries an RGB camera and LiDAR payload, relying on multiple sensors for positioning. Flight altitude is constrained between 10 and 300 meters AGL within a defined polygon boundary. A runway is required for operations, and the mission includes designated landing sites. Traffic includes a single UAV moving westward, requiring detect-and-avoid compliance. Communication experiences brief dropouts, and separation from obstacles and other aircraft must be maintained.",Fixed-wing UAV with RTK-GNSS and no LiDAR,Quadcopter with visual-inertial navigation only,Convertiplane with dual INS/GNSS and LiDAR mapping,Helicopter UAV with radar altimeter and no RGB,Fixed-wing with ADS-B and 10-minute endurance,Convertiplane with single GNSS and no wind compensation,Multirotor with LiDAR but 250-meter max altitude,"[""Fixed-wing UAV with RTK-GNSS and no LiDAR"", ""Quadcopter with visual-inertial navigation only"", ""Convertiplane with dual INS/GNSS and LiDAR mapping"", ""Helicopter UAV with radar altimeter and no RGB"", ""Fixed-wing with ADS-B and 10-minute endurance"", ""Convertiplane with single GNSS and no wind compensation"", ""Multirotor with LiDAR but 250-meter max altitude""]","The convertiplane with dual INS/GNSS and LiDAR provides optimal fault tolerance in GNSS-challenged environments and enables efficient fixed-wing survey flight with vertical takeoff. It supports required altitude range, sensor redundancy, and dynamic obstacle avoidance. Other options lack either endurance, altitude capability, sensor fusion, or transition efficiency." 2025-11-01T18:05:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Industrial_Plant_with_Strong_Crosswind_d2158a78ed09_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Industrial_Plant_with_Strong_Crosswind,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,D,False,How should the UAV adjust for crosswinds up to 15 m/s and a moving obstacle while minimizing energy use?,"This scenario involves a VTOL tiltrotor UAV conducting an inspection mission within a confined industrial plant airspace. The UAV transitions between vertical and fixed-wing flight to efficiently navigate a predefined corridor of waypoints. It operates under strong crosswinds from the west, increasing with altitude up to 15 m/s, and experiences gusts up to 4.5 m/s. The UAV is equipped with GNSS, IMU, lidar, and RGB camera payload for navigation and data collection. A cylindrical no-fly zone centered at (100, 75) restricts flight below 60 m within a 20 m radius. The mission requires runway-assisted takeoff and landing, with preferred and emergency landing sites designated. A single moving obstacle travels vertically along the southern boundary, adding dynamic collision risk. Air traffic from another UAV entering from the north imposes separation requirements, with a minimum safe distance of 25 m. GNSS multipath effects may occur near industrial structures, and wind shear across altitudes challenges stable transition and control.",Climb rapidly to avoid all obstacles early,Fly at maximum speed to reduce exposure time,Descend below 60 m near the no-fly zone center,Reduce camera frame rate and follow curved path,Hover periodically to reassess wind gusts,Increase lidar scan frequency for obstacle detection,Maintain fixed altitude and full payload operation,"[""Climb rapidly to avoid all obstacles early"", ""Fly at maximum speed to reduce exposure time"", ""Descend below 60 m near the no-fly zone center"", ""Reduce camera frame rate and follow curved path"", ""Hover periodically to reassess wind gusts"", ""Increase lidar scan frequency for obstacle detection"", ""Maintain fixed altitude and full payload operation""]","Reducing camera frame rate lowers power consumption and thermal load, preserving battery for critical flight control. A curved path navigates around the moving obstacle and no-fly zone while optimizing climb rate against wind shear. This balances sensor utility, collision avoidance, and energy efficiency within endurance limits." 2025-11-01T18:05:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Icing_Conditions_at_Industrial_Plant_c9390d704e0a_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Icing_Conditions_at_Industrial_Plant,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"At 180 s, icing reduces lift; UAV must reach waypoint W3 (120 m AGL, 290° wind) within 20 s while maintaining 25 m separation from UAV2.","Heavy-lift VTOL UAV conducts inspection mission at an industrial plant with transition between vertical and forward flight. Operating within a confined airspace bounded by geofenced polygon and multiple no-fly zones, including a dynamic obstacle. Mission includes a corridor flight pattern at altitudes between 5 and 120 meters AGL, requiring runway use for takeoff and landing. UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, carrying a 10 kg payload. Flight occurs under poor visibility with icing conditions, posing risk of performance degradation and sensor faults. Wind increases with altitude, reaching 15 m/s from 290° at 100 m, with gusts up to 4 m/s at lower levels. Thermal updrafts near structures introduce localized turbulence, affecting stability during transitions. GNSS signals suffer from multipath interference and jamming, with brief communication link losses during flight. A second UAV and moving spherical obstacle require DAA compliance with 25 m separation and 20 s TTC thresholds. Icing event simulated at 180 seconds, reducing aerodynamic efficiency and increasing stall risk during critical phases.","Climb directly to 120 m, heading 290°, accepting GNSS drift up to 15 m","Delay climb, hold level for 10 s to assess sensor faults before proceeding",Descend to 5 m AGL to avoid wind gusts and thermal updrafts near structures,"Deviate 30 m east to bypass dynamic obstacle, then ascend at reduced gradient",Proceed at 80 m AGL to minimize exposure to 15 m/s winds at 100 m,"Turn 90° north to shelter behind structures, then resume course after 15 s","Ascend along protected corridor at 110 m AGL, adjusting bank angle for DAA","[""Climb directly to 120 m, heading 290°, accepting GNSS drift up to 15 m"", ""Delay climb, hold level for 10 s to assess sensor faults before proceeding"", ""Descend to 5 m AGL to avoid wind gusts and thermal updrafts near structures"", ""Deviate 30 m east to bypass dynamic obstacle, then ascend at reduced gradient"", ""Proceed at 80 m AGL to minimize exposure to 15 m/s winds at 100 m"", ""Turn 90° north to shelter behind structures, then resume course after 15 s"", ""Ascend along protected corridor at 110 m AGL, adjusting bank angle for DAA""]","G maintains required separation and altitude band while navigating around GNSS interference and wind shear. It uses the approved corridor to avoid dynamic obstacles and structures causing turbulence. This path balances energy use, timing, and safety under degraded aerodynamic performance from icing." 2025-11-01T18:05:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Forest_with_Sandstorm_5601f776ffe2_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Forest_with_Sandstorm,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 250s, GNSS fails; sandstorm reduces visibility. UAV is 35m AGL, 40m from moving no-fly cylinder. What action prioritizes safety and mission integrity?","This is a VTOL transition test mission in a forested area with a sandstorm and poor visibility. The UAV is a tiltrotor VTOL with a battery-powered propulsion system and a 1 kg payload, equipped with RGB camera, LiDAR, and standard navigation sensors. The mission type is a corridor survey with waypoints between 30–60 meters altitude, requiring runway-assisted takeoff and landing. Strong winds up to 15 m/s increase with altitude and shift direction, while thermal updrafts and gusts add turbulence. GNSS multipath and electromagnetic interference are present, with a planned GNSS jamming fault at 250 seconds. The airspace includes a static no-fly zone near the center and a moving no-fly cylinder drifting northeast. A second UAV and a moving spherical obstacle create dynamic collision risks. Minimum separation is set at 25 meters with a 20-second time-to-collision threshold for detect-and-avoid. The UAV must stay within a defined geofenced polygon, avoiding altitude violations between 10 and 150 meters AGL. Communication experiences brief downlink outages, and mission success depends on navigation resilience, energy management, and fault tolerance.",Continue mission using LiDAR and dead reckoning,Climb to 60m for better wind clearance and signal,Descend to 10m AGL to minimize wind impact,Abort mission and return via emergency landing,Hover in place until GNSS signal recovers,"Evasive maneuver east, ignoring survey waypoints",Transfer control to degraded visual pilot mode,"[""Continue mission using LiDAR and dead reckoning"", ""Climb to 60m for better wind clearance and signal"", ""Descend to 10m AGL to minimize wind impact"", ""Abort mission and return via emergency landing"", ""Hover in place until GNSS signal recovers"", ""Evasive maneuver east, ignoring survey waypoints"", ""Transfer control to degraded visual pilot mode""]","GNSS failure at 250s, combined with sandstorm and dynamic obstacles, compromises navigation resilience and detect-and-avoid capability. Continuing or hovering risks collision with the drifting no-fly cylinder or second UAV within 25m threshold. Safest course is aborting and returning, prioritizing airspace compliance, human safety, and fault tolerance over mission completion." 2025-11-01T18:05:25Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Harbor_with_Cold_Weather_5a701dc27899_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Harbor_with_Cold_Weather,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 45m AGL, winds shift NW with 4 m/s gusts; icing begins. A drifting obstacle enters the corridor. What should the UAV do?","This is a VTOL transition test mission in a harbor environment. The UAV is a tiltrotor type designed for both hover and fixed-wing flight. It carries an RGB camera and LiDAR payload for inspection tasks. The flight occurs in cold weather with icing conditions and moderate winds increasing with altitude. Wind shifts from west to northwest as altitude increases, with gusts up to 4 m/s. The UAV must navigate around static and moving no-fly zones, including a dynamic obstacle drifting southwest. GNSS signals experience multipath interference and mild jamming, challenging navigation accuracy. The mission follows a corridor inspection pattern with a required runway for takeoff and landing. Icing events are simulated mid-mission, affecting aerodynamic performance. Traffic and separation monitoring require maintaining at least 25 meters from other aircraft.",Climb to 60m AGL to avoid obstacle and reduce icing risk,"Continue at 45m AGL, maintaining inspection pattern",Descend to 30m AGL to reduce wind exposure and save energy,Divert immediately to runway using shortest path over water,"Turn east to bypass obstacle, staying at 45m AGL",Descend to 20m AGL and proceed to next waypoint,"Descend to 35m AGL, then divert to runway via northern path","[""Climb to 60m AGL to avoid obstacle and reduce icing risk"", ""Continue at 45m AGL, maintaining inspection pattern"", ""Descend to 30m AGL to reduce wind exposure and save energy"", ""Divert immediately to runway using shortest path over water"", ""Turn east to bypass obstacle, staying at 45m AGL"", ""Descend to 20m AGL and proceed to next waypoint"", ""Descend to 35m AGL, then divert to runway via northern path""]","Descending to 35m avoids the worst icing and obstacle while staying above minimum safe altitude. The northern diversion avoids water, reducing multipath and drift risk. Other options violate separation, increase icing, or risk GNSS loss over water." 2025-11-01T18:05:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Mountainous_Airspace_with_Microburst_Risk_a92b349d0da6_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Mountainous_Airspace_with_Microburst_Risk,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 300 m AGL, 18 m/s from 270° increases sideslip; how should the vtol_tiltrotor adjust thrust vectoring during transition to minimize drag and maintain track?","This is a VTOL transition test mission in mountainous terrain with a vtol_tiltrotor UAV equipped with RGB camera payload. The flight occurs in controlled airspace with a 50–400 m AGL altitude range and a static no-fly zone near the center, plus a moving exclusion zone. Winds increase with altitude, reaching 18 m/s from 270° at 300 m, with gusts and microburst risk adding turbulence hazards. GNSS signals are degraded by multipath effects and moderate jamming, while electromagnetic interference affects sensor reliability. The UAV must execute a corridor survey with four waypoints, transitioning between hover and forward flight, requiring precise aerodynamic control. A runway is required for operations, and the transition profile is defined with 6 seconds for VTOL to forward flight and 8 seconds for reverse. Air traffic includes a crossing UAV, and a moving spherical obstacle traverses the area, demanding dynamic separation. The mission faces two faults: a 30-second lost link at 200 seconds and a partial motor failure at 400 seconds. Communication suffers brief dropouts, and flight performance is monitored for battery use, separation breaches, and geofence compliance. The presence of a thermal updraft near the route may affect altitude stability during low-speed segments.",Increase collective pitch and yaw right to counteract crosswind drift,Bank into wind with coordinated tilt of rotors to balance lift and side force,Reduce airspeed below 15 m/s to limit gust response and increase angle of attack,Align fuselage with wind and increase rotor tilt to 80° for vertical lift,Maintain hover attitude and apply full lateral cyclic for drift correction,Pitch nose down and increase forward tilt to accelerate through transition zone,"Hold level flight with neutral controls, relying on GPS position hold","[""Increase collective pitch and yaw right to counteract crosswind drift"", ""Bank into wind with coordinated tilt of rotors to balance lift and side force"", ""Reduce airspeed below 15 m/s to limit gust response and increase angle of attack"", ""Align fuselage with wind and increase rotor tilt to 80° for vertical lift"", ""Maintain hover attitude and apply full lateral cyclic for drift correction"", ""Pitch nose down and increase forward tilt to accelerate through transition zone"", ""Hold level flight with neutral controls, relying on GPS position hold""]","Banking into the crosswind with coordinated rotor tilt balances the lateral component of lift against the wind force, maintaining ground track. This minimizes sideslip-induced drag and avoids exceeding critical angle of attack during transition. Other choices either increase drag, risk stall, or assume unreliable GNSS control." 2025-11-01T18:05:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Powerline_Corridor_8708dcde9b7a_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Powerline_Corridor,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Given 600 s mission time, 9.5 kg mass, and 10–200 m AGL limits, how to optimize transition and routing for inspection under wind and obstacles?","This is a VTOL transition test mission within a powerline corridor for infrastructure inspection. The UAV is a tiltrotor VTOL with a total mass of 9.5 kg, carrying a 1.0 kg payload equipped with RGB camera and LiDAR. It operates in good visibility with a 6 m/s westerly wind at ground level, increasing to 10 m/s from the northwest at 200 m altitude. The flight envelope is constrained between 10 m and 200 m AGL within a rectangular geofenced corridor. A no-fly zone cylinder blocks the central area from 20 m to 150 m altitude, requiring careful path planning. The UAV must perform a runway-assisted takeoff and landing, using a predefined transition profile between hover and forward flight. A single intruder UAV crosses perpendicularly, and a moving spherical obstacle descends slowly near the corridor. Communication experiences two brief 10-second uplink/downlink outages. The mission must be completed within 600 seconds while maintaining battery reserves and avoiding stalls or proximity breaches. GNSS signals are stable with no multipath or jamming issues.",Climb rapidly to 200 m for wind advantage and straight transit,Fly at 10 m AGL to minimize crosswind exposure and save energy,Delay transition until past no-fly zone to reduce stall risk,Descend to 15 m near obstacle to shorten inspection distance,Increase speed through corridor center to reduce mission time,Hover-scan each span using max payload power for data quality,Use 50 m altitude with adaptive forward speed and reduced LiDAR rate,"[""Climb rapidly to 200 m for wind advantage and straight transit"", ""Fly at 10 m AGL to minimize crosswind exposure and save energy"", ""Delay transition until past no-fly zone to reduce stall risk"", ""Descend to 15 m near obstacle to shorten inspection distance"", ""Increase speed through corridor center to reduce mission time"", ""Hover-scan each span using max payload power for data quality"", ""Use 50 m altitude with adaptive forward speed and reduced LiDAR rate""]",Flying at 50 m balances wind effects and obstacle clearance while adaptive speed reduces power use. Lowering LiDAR rate saves energy without sacrificing critical data. This maximizes inspection coverage within battery and time limits while ensuring safe clearance and communication resilience. 2025-11-01T18:05:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Mountainous_Sandstorm_3044e37eaf3d_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Mountainous_Sandstorm,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"Solar-powered VTOL UAV in sandstorm, 450m AGL max, 900s mission, GNSS degraded—optimal transition strategy?","This is a VTOL transition test mission in mountainous terrain with a solar-powered fixed-wing UAV equipped with VTOL capability. The UAV operates in poor visibility due to an active sandstorm and strong, gusty winds increasing with altitude. It carries an RGB camera payload for survey purposes along a predefined corridor pattern. The flight occurs within a defined polygonal geofence with a minimum altitude of 50m AGL and maximum of 450m AGL. A static no-fly zone surrounds a central point, and a second dynamic no-fly zone moves through the airspace. The UAV must perform transitions between hover and forward flight, with specified transition durations. GNSS signals are degraded due to multipath and moderate jamming, and electromagnetic interference is present. The mission requires use of a designated runway for takeoff and landing, and the UAV must avoid moving obstacles and other traffic. Battery endurance and communication link quality are critical constraints throughout the 900-second mission.",Use GNSS-only during transition,Rely on IMU-camera fusion,Delay transition until clear,Switch to pre-set magnetic heading,Increase throttle to exit sandstorm,Use barometer-only altitude hold,Follow geofence edge with LiDAR,"[""Use GNSS-only during transition"", ""Rely on IMU-camera fusion"", ""Delay transition until clear"", ""Switch to pre-set magnetic heading"", ""Increase throttle to exit sandstorm"", ""Use barometer-only altitude hold"", ""Follow geofence edge with LiDAR""]",IMU-camera fusion compensates for GNSS degradation and multipath by leveraging visual odometry and inertial data. It maintains attitude and position accuracy despite electromagnetic interference and poor visibility. This method adapts to environmental stressors while enabling safe hover-to-forward transition within altitude constraints. 2025-11-01T18:05:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Mountainous_Terrain_with_Thermal_Updrafts_7246b2fb0485_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Mountainous_Terrain_with_Thermal_Updrafts,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Solar UAV must transition in 120s at 300m AGL with 70% battery, 450m max ceiling, and thermal updrafts; which strategy maximizes survey coverage and safety?","This is a VTOL transition test mission in mountainous terrain using a solar-powered fixed-wing UAV with vertical takeoff capability. The flight occurs in a defined airspace between 50 and 450 meters AGL, bounded by a polygonal geofence and containing both static and moving no-fly zones. Weather includes steady winds from the southwest, increasing with altitude, and thermal updrafts creating localized lift zones. The UAV carries RGB and thermal cameras as payload, supporting a survey mission with a corridor flight pattern. Key constraints include GNSS signal multipath and electromagnetic interference, which may degrade navigation accuracy. The UAV must transition between hover and forward flight, with specified transition durations, and must avoid a dynamic no-fly zone and a moving spherical obstacle. It must also maintain separation from another UAV flying through the area and contend with periodic communication link losses. The mission requires a runway for takeoff and landing, with preferred and emergency landing sites designated. Flight performance will be evaluated based on mission success, battery usage, safety breaches, and communication quality.",Climb rapidly to 450m to extend range using strong tailwinds,Delay transition until thermal lift reduces climb power by 40%,Enter hover mode early to ensure geofence boundary precision,Disable thermal camera to save 15W for extended forward flight,Fly shortest path through moving no-fly zone to save 8 minutes,"Transmit all RGB data in real-time at 8 Mbps, maxing comms power","Use 100% propulsion to outrun dynamic obstacle, ignoring energy","[""Climb rapidly to 450m to extend range using strong tailwinds"", ""Delay transition until thermal lift reduces climb power by 40%"", ""Enter hover mode early to ensure geofence boundary precision"", ""Disable thermal camera to save 15W for extended forward flight"", ""Fly shortest path through moving no-fly zone to save 8 minutes"", ""Transmit all RGB data in real-time at 8 Mbps, maxing comms power"", ""Use 100% propulsion to outrun dynamic obstacle, ignoring energy""]","Leveraging thermal updrafts reduces climb power by 40%, conserving battery for longer mission endurance. It delays transition until energetically favorable, maintaining safety and coverage. Other options waste power, violate constraints, or increase risk." 2025-11-01T18:05:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Powerline_Corridor_with_Hot_Weather_04ee0ce00997_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Powerline_Corridor_with_Hot_Weather,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"UAV must inspect corridor in 600s, avoid dynamic no-fly zone moving west at 1.5 m/s, and maintain 25m separation from crossing UAV.","This is an inspection mission conducted by a quadrotor UAV within a powerline corridor. The UAV is equipped with an RGB camera and standard navigation sensors including GNSS, IMU, barometer, and magnetometer. The flight occurs in hot weather conditions with strong westerly winds at 8 m/s and gusts up to 4 m/s. The operational airspace is confined between 10 and 120 meters AGL within a defined polygon geofence. A static no-fly zone is present near the center of the corridor, and an additional dynamic no-fly zone moves through the area from east to west. The UAV must avoid a moving spherical obstacle drifting westward at 1.5 m/s. Air traffic includes another UAV approaching from outside the corridor with a crossing path. The mission requires completing a corridor inspection pattern within a 600-second time limit while maintaining safe separation of at least 25 meters and avoiding all obstacles. GNSS signal multipath may occur near the powerlines, and brief communication dropouts are expected between 120 and 130 seconds. The UAV starts at a low altitude near the edge of the corridor and must return safely within battery reserve limits.",Ascend to 120m AGL immediately to avoid obstacles early,Delay start by 45 seconds to allow crossing UAV to clear,Fly eastward opposite to dynamic zone to maximize inspection time,Maintain 10m AGL to reduce wind exposure and conserve battery,Adjust speed to synchronize with gap between moving obstacle and crossing UAV,Transmit data only during 120-130s dropout window to save bandwidth,Split inspection into two passes to balance energy and coverage,"[""Ascend to 120m AGL immediately to avoid obstacles early"", ""Delay start by 45 seconds to allow crossing UAV to clear"", ""Fly eastward opposite to dynamic zone to maximize inspection time"", ""Maintain 10m AGL to reduce wind exposure and conserve battery"", ""Adjust speed to synchronize with gap between moving obstacle and crossing UAV"", ""Transmit data only during 120-130s dropout window to save bandwidth"", ""Split inspection into two passes to balance energy and coverage""]","Option E enables safe, coordinated timing between the moving obstacle and crossing UAV by exploiting a temporary separation window. It maintains mission continuity and respects the 25m separation while adapting to dynamic constraints. Other choices either increase risk, waste time, or disrupt communication and energy planning." 2025-11-01T18:05:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Snowfall_at_Bridge_Site_9c7228a38f13_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Snowfall_at_Bridge_Site,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Given 12 m/s wind shear, VTOL transition timing, and a 1-minute icing event, which path optimizes corridor survey efficiency while avoiding moving obstacles and NFZs?","This is a VTOL transition test mission conducted at a bridge site in snowy conditions with poor visibility. The airspace is constrained by a fixed geofence and includes both static and moving no-fly zones. Weather features moderate wind up to 12 m/s with directional shear and active snowfall affecting sensor performance. A glider-type UAV equipped with RGB camera payload and standard avionics performs a corridor survey mission. The UAV transitions between vertical and forward flight with defined timing profiles and must manage battery reserves carefully. GNSS signals are degraded due to multipath and interference, with additional electromagnetic noise and brief comms outages. An icing event occurs mid-mission, reducing aerodynamic efficiency for one minute. The UAV must avoid a moving obstacle and maintain separation from oncoming traffic while navigating thermals. Runway-aligned takeoff and landing are required within strict altitude and lateral boundaries. Mission success depends on completing the waypoint corridor without collisions, NFZ breaches, or critical system failures.",Climb early to 150m AGL to bypass wind shear and maintain GNSS lock,Delay transition until past bridge midpoint to reduce exposure to snowfall,"Follow runway alignment at 60m AGL, adjust for thermals, and reroute downwind",Cut through static NFZ to save 18 seconds and preserve battery,"Turn 45° right to avoid moving obstacle, ignoring thermal lift zones",Descend to 30m AGL post-icing to improve camera resolution and stability,"Maintain 100m AGL, delay obstacle avoidance turn by 3 seconds to save energy","[""Climb early to 150m AGL to bypass wind shear and maintain GNSS lock"", ""Delay transition until past bridge midpoint to reduce exposure to snowfall"", ""Follow runway alignment at 60m AGL, adjust for thermals, and reroute downwind"", ""Cut through static NFZ to save 18 seconds and preserve battery"", ""Turn 45° right to avoid moving obstacle, ignoring thermal lift zones"", ""Descend to 30m AGL post-icing to improve camera resolution and stability"", ""Maintain 100m AGL, delay obstacle avoidance turn by 3 seconds to save energy""]","Path C adheres to lateral and altitude boundaries, uses thermals for efficiency, and safely reroutes within geofence. It accounts for wind and sensor degradation while preserving battery. Other options breach NFZs, reduce safety margins, or misalign with runway constraints." 2025-11-01T18:05:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Rural_Hail_Conditions_4c487adb5221_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Rural_Hail_Conditions,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"During VTOL to fixed-wing transition at 200s, icing reduces lift; headwind increases from 15 to 35 knots as altitude rises. What ensures safe airspeed and lift recovery?","This is a VTOL transition test mission in rural airspace featuring a high-altitude pseudo-satellite UAV equipped with radar, RGB camera, and standard navigation sensors. The UAV conducts a corridor survey with multiple waypoint transitions between 100 and 3000 meters AGL, requiring both vertical and fixed-wing flight modes. The environment includes moderate headwinds at low altitude increasing to strong winds aloft, with wind direction shifting from 240° to 270° as altitude increases. Poor visibility and active hail create challenging flight conditions, further complicated by electromagnetic interference and periodic communication dropouts. A static no-fly zone and a moving cylindrical no-fly zone restrict flight paths, while a dynamic obstacle drifts westward at mid-altitude. The UAV must maintain separation from oncoming traffic and navigate around thermal updrafts near the center of the area. GNSS performance is degraded but not lost, with mild jamming present and no multipath effects. The mission includes an icing fault event at 200 seconds, reducing performance for one minute. A runway-assisted takeoff and landing are required, with transition phases between VTOL and fixed-wing flight lasting 45 and 50 seconds respectively.",Increase collective pitch while reducing forward thrust to maintain hover stability,Delay transition until above 2500m where winds stabilize at 270°,Increase angle of attack to 18° to maximize lift despite reduced air density,Accelerate forward thrust and pitch down slightly to increase airflow over wings,Maintain vertical climb for 60s to avoid dynamic obstacle at mid-altitude,Reduce wing loading by extending flaps fully at 100m AGL,Enter rapid descent to gain kinetic energy and restore control authority,"[""Increase collective pitch while reducing forward thrust to maintain hover stability"", ""Delay transition until above 2500m where winds stabilize at 270°"", ""Increase angle of attack to 18° to maximize lift despite reduced air density"", ""Accelerate forward thrust and pitch down slightly to increase airflow over wings"", ""Maintain vertical climb for 60s to avoid dynamic obstacle at mid-altitude"", ""Reduce wing loading by extending flaps fully at 100m AGL"", ""Enter rapid descent to gain kinetic energy and restore control authority""]","Accelerating forward thrust increases relative airflow over wings, critical during icing-induced lift loss. A slight pitch-down maintains optimal angle of attack below stall while enabling airspeed buildup. This balances thrust, lift, and drag forces essential for transition in degraded conditions." 2025-11-01T18:05:26Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Rural_Thermal_Conditions_a10bb0e701bb_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Rural_Thermal_Conditions,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 380 m AGL, UAV detects moving obstacle at 250 m AGL on collision course. Wind is 6.5 m/s from 240°. What should UAV do?","This is a VTOL transition test mission using a battery-powered glider-type UAV equipped with RGB camera payload. The mission takes place in rural airspace with a defined 20–400 m AGL altitude range and a polygonal geofence. Weather includes moderate wind at 6.5 m/s from 240°, increasing with altitude, along with gusts and thermal updrafts reaching 3.0 m/s. The UAV conducts a corridor survey with five waypoints, requiring runway-assisted takeoff and landing. A no-fly zone cylinder is present near the center of the area, imposing spatial constraints. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV on a collision course. GNSS signals are strong with no multipath or jamming, and communication experiences brief downlink losses. The UAV relies on standard sensors including GNSS, IMU, and barometer, but lacks lidar or radar. Flight performance is affected by drag and battery consumption, with a reserve of 30% capacity. Mission success depends on completing the survey while respecting energy limits, separation, and airspace boundaries.",Descend to 200 m AGL and continue survey,Climb to 410 m AGL to pass above obstacle,Turn left 90° and fly to edge of geofence,Descend to 240 m AGL and delay waypoint entry,Accelerate forward to bypass obstacle early,Hold position at 380 m AGL until obstacle passes,Divert to runway with 5° descent slope,"[""Descend to 200 m AGL and continue survey"", ""Climb to 410 m AGL to pass above obstacle"", ""Turn left 90° and fly to edge of geofence"", ""Descend to 240 m AGL and delay waypoint entry"", ""Accelerate forward to bypass obstacle early"", ""Hold position at 380 m AGL until obstacle passes"", ""Divert to runway with 5° descent slope""]","Descending to 240 m AGL maintains separation from the obstacle while staying within the 20–400 m AGL operational band. It avoids the no-fly zone and preserves battery for the runway-assisted landing. Other options violate altitude limits, increase collision risk, or waste energy." 2025-11-01T18:05:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Suburban_Area_with_Gusts_036fd3d44f59_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Suburban_Area_with_Gusts,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During VTOL transition at 120 m with 12 m/s wind and GNSS at -85 dBm, which sensor fusion strategy ensures navigation integrity?","VTOL transition test mission in suburban airspace assessing flight performance during vertical to fixed-wing conversion. Flight occurs in moderate wind conditions with 6.5 m/s winds from 240° and gusts up to 4.2 m/s increasing with altitude. The UAV is a tiltrotor VTOL with a 5.8 kg mass and RGB camera payload, designed for efficient forward flight and hover. Mission type is inspection along a predefined corridor with five waypoints requiring precise navigation. Strong wind shear is present, with wind speed increasing from 6.5 m/s at ground level to 12 m/s at 120 m altitude. A static no-fly zone cylinder is located at (100,75) with a 20 m radius and vertical limits from 10–60 m AGL. A moving no-fly zone drifts slowly at 2.7 m/s toward the northeast, centered initially at (50,30) with a 12 m radius. GNSS multipath effects and mild jamming at -85 dBm degrade navigation accuracy near structures. The UAV must maintain separation from a moving obstacle and another UAV flying through the area. Communication dropouts are expected between 120–130 s and 450–465 s with minimum RSSI at -92 dBm.",Prioritize GNSS-RTK for centimeter accuracy despite jamming,Rely solely on IMU during communication dropouts,Fuse visual odometry with barometric altitude during GNSS loss,Use magnetometer heading under strong wind shear,Depend on LiDAR in moderate rain and fog,Switch to GPS-only when IMU drift exceeds 0.5°/s,Trust static airdata during rapid altitude changes,"[""Prioritize GNSS-RTK for centimeter accuracy despite jamming"", ""Rely solely on IMU during communication dropouts"", ""Fuse visual odometry with barometric altitude during GNSS loss"", ""Use magnetometer heading under strong wind shear"", ""Depend on LiDAR in moderate rain and fog"", ""Switch to GPS-only when IMU drift exceeds 0.5°/s"", ""Trust static airdata during rapid altitude changes""]","Visual odometry compensates for GNSS degradation caused by multipath and jamming, while barometric data provides stable vertical reference. Fusing these with IMU mitigates wind-induced motion blur and maintains position accuracy during VTOL transition. This adaptive fusion preserves navigation integrity when satellite signals are unreliable." 2025-11-01T18:05:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Rural_Microburst_Risk_ebf9b094a991_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Rural_Microburst_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 240s, icing reduces lift; UAV must transition within 600s while avoiding microburst and dynamic obstacles in 1000m x 800m zone.","This is a VTOL transition test mission in a rural delivery scenario with microburst risk. The flight occurs in a defined rural airspace with a 1000m x 800m geofenced area and a minimum altitude of 10m AGL. Winds are from the west, increasing with altitude up to 15 m/s, and a microburst risk is present. The UAV is a heavy-lift octocopter with fixed-wing features, equipped for VTOL transitions and carrying a 5kg payload. It has GNSS, IMU, lidar, and RGB camera sensors but faces electromagnetic interference and brief comms loss. A static no-fly zone and a moving no-fly cylinder must be avoided, along with a dynamic obstacle. The mission requires a runway takeoff and landing, with specific transition timing between VTOL and forward flight. Thermal updrafts and wind shear add environmental complexity. The UAV must complete a five-waypoint corridor delivery within 600 seconds while maintaining separation from traffic. An icing event at 240 seconds introduces a fault condition affecting performance.",Delay transition to reassess wind shear,Abort mission and return to base,Proceed with immediate VTOL transition,Climb to avoid microburst outflow,Offload payload to nearby agent,Enter loiter mode for comms recovery,Adjust route to use thermal updrafts,"[""Delay transition to reassess wind shear"", ""Abort mission and return to base"", ""Proceed with immediate VTOL transition"", ""Climb to avoid microburst outflow"", ""Offload payload to nearby agent"", ""Enter loiter mode for comms recovery"", ""Adjust route to use thermal updrafts""]",Thermal updrafts counteract reduced lift from icing while maintaining forward progress. Adjusting the route preserves timing and avoids microburst-affected zones. This sustains coordination with traffic separation and mission deadline without relying on external agents or comms. 2025-11-01T18:05:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Suburban_Area_with_Lightning_Risk_2eb9fdd71e4c_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Suburban_Area_with_Lightning_Risk,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"Given 8 m/s winds, GNSS jamming, and a 10-minute limit, how should the UAV optimize power and navigation for the 4-waypoint transition mission?","This is a VTOL transition test mission for an octocopter UAV conducting an inspection in a suburban environment. The flight occurs within a defined 500x400m geofenced area, with a minimum altitude of 5m and maximum of 120m AGL. Weather includes 8 m/s winds from 240°, gusts up to 4 m/s, and a risk of lightning, requiring cautious operations. The UAV is equipped with a battery-powered octocopter configuration, carrying an RGB camera payload for visual inspection. A static no-fly zone is present near the center of the area, and a second dynamic no-fly zone moves southwest, increasing avoidance complexity. The mission involves transitioning between vertical and forward flight modes while navigating a corridor of four waypoints within a 10-minute time limit. A single intruder UAV approaches from the south, requiring separation maintenance using DAA thresholds of 25m and 20s TTC. GNSS jamming and a partial motor failure are injected as faults, testing resilience in navigation and control. The UAV relies on GNSS, IMU, and lidar for sensing, but faces potential GNSS multipath in suburban terrain and brief comms loss. The test emphasizes safe transition behavior, fault tolerance, and adherence to airspace constraints under adverse conditions.",Climb to 120m for better GNSS signal and survey all waypoints,Proceed at max speed using full motor output to finish early,"Descend to 5m, reduce camera resolution, and fly direct waypoints",Hover and wait for GNSS recovery before continuing,"Switch to lidar-only mode, reduce speed, and fly low-altitude path",Abort mission and return immediately to base,Transmit HD video continuously while circling midpoint,"[""Climb to 120m for better GNSS signal and survey all waypoints"", ""Proceed at max speed using full motor output to finish early"", ""Descend to 5m, reduce camera resolution, and fly direct waypoints"", ""Hover and wait for GNSS recovery before continuing"", ""Switch to lidar-only mode, reduce speed, and fly low-altitude path"", ""Abort mission and return immediately to base"", ""Transmit HD video continuously while circling midpoint""]","Lidar-only navigation conserves GNSS-dependent processing power and avoids jamming risks. Flying low reduces wind exposure and energy use, while maintaining progress. This balances fault tolerance, power, and mission completion within time and endurance limits." 2025-11-01T18:05:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Suburban_Area_with_Lightning_Risk_ec9b3819af85_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Suburban_Area_with_Lightning_Risk,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"During GNSS loss at 6.5 m/s wind and 4 m/s gusts, what action balances navigation accuracy, energy, and obstacle avoidance?","This is a VTOL transition test mission in a suburban area. The UAV operates within a defined airspace from 10 to 150 meters AGL. Weather includes moderate winds at 6.5 m/s from 240 degrees with gusts up to 4 m/s and a risk of lightning. The UAV is an amphibious hexacopter with fixed-wing aerodynamic features, capable of efficient forward flight and vertical takeoff. It carries an RGB camera and LIDAR payload for survey operations. A static no-fly zone cylinder is located near the center of the area, and a second dynamic no-fly zone moves slowly through the airspace. The mission requires a runway takeoff and landing, with a preferred landing site at the runway threshold. A second UAV and a moving spherical obstacle challenge sense-and-avoid systems. GNSS jamming occurs mid-mission, degrading navigation for 45 seconds, followed by a lightning strike fault. The UAV must maintain separation from traffic and obstacles while managing battery reserves under adverse conditions.",Climb to 150 m for better GPS signal recovery,Descend to 10 m to minimize wind exposure,Hold position at 80 m using LIDAR and pitot data,Accelerate forward to escape dynamic no-fly zone,Circle at 50 m to await GNSS restoration,Transition to hover and descend vertically,Follow pre-planned path using IMU and terrain matching,"[""Climb to 150 m for better GPS signal recovery"", ""Descend to 10 m to minimize wind exposure"", ""Hold position at 80 m using LIDAR and pitot data"", ""Accelerate forward to escape dynamic no-fly zone"", ""Circle at 50 m to await GNSS restoration"", ""Transition to hover and descend vertically"", ""Follow pre-planned path using IMU and terrain matching""]","GNSS outage requires alternative navigation; IMU and terrain matching maintain path accuracy without excessive energy use. At 80 m AGL, the UAV stays above gust-affected low altitudes and avoids climbing into lightning-prone zones. This preserves battery, ensures separation from moving obstacles, and aligns with runway approach constraints post-fault." 2025-11-01T18:05:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Suburban_Dusty_Conditions_4610c95a5823_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Suburban_Dusty_Conditions,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"With 1800 Wh battery, 1250 W hover draw, and 600-second mission, which strategy maximizes survey coverage while ensuring return?","This is a VTOL transition test mission for a high-altitude pseudo-satellite UAV conducting a grid survey in suburban airspace. The UAV operates between 50 and 600 meters AGL within a defined polygonal geofence that includes a cylindrical no-fly zone centered at (500, 400) from 50 to 200 meters altitude. The environment features moderate wind at 8 m/s from 240 degrees, with gusts up to 4 m/s and poor visibility due to dust, which may impact sensor performance. The UAV is equipped with radar, RGB camera, GNSS, IMU, magnetometer, and barometer, but lacks lidar and thermal imaging. It has a total mass of 12.5 kg, including a 1.2 kg payload, and relies on a 1800 Wh battery with a hover power draw of 1250 W. The mission involves transitioning from vertical to forward flight over 15 seconds and back in 18 seconds, flying a rectangular grid pattern between four waypoints at 300 meters altitude. A single traffic UAV moves through the area at 12 m/s on a northeast heading, requiring separation monitoring. A moving spherical obstacle drifts eastward at 5 m/s, adding dynamic collision risk. The UAV must maintain at least 25 meters separation to avoid DAA breaches, with a time-to-collision threshold of 30 seconds, and return safely within a 600-second time budget. GNSS multipath effects may occur due to suburban structures, and operations are constrained by battery endurance and dust-induced visibility degradation.",Hover for 100 seconds to stabilize sensors in dust,Fly grid at 25 m/s to reduce mission time,Descend to 100 m to improve RGB clarity in dust,Disable radar to save 80 W and extend loiter,Shorten grid legs by 20% to cut energy use,Increase camera frame rate for better target detection,Delay transition to forward flight until clear of gusts,"[""Hover for 100 seconds to stabilize sensors in dust"", ""Fly grid at 25 m/s to reduce mission time"", ""Descend to 100 m to improve RGB clarity in dust"", ""Disable radar to save 80 W and extend loiter"", ""Shorten grid legs by 20% to cut energy use"", ""Increase camera frame rate for better target detection"", ""Delay transition to forward flight until clear of gusts""]","Shortening grid legs reduces total flight distance and power consumption, preserving battery for return. It balances mission utility and endurance without increasing hover time or sensor load. Other options either raise energy use or compromise safety and return capability." 2025-11-01T18:05:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Volcanic_Sandstorm_8aa3d604acd1_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Volcanic_Sandstorm,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"At 190s, UAV1 must transition while avoiding a drifting cylinder 25m away and a second UAV at 30m, with jamming at 200s.","This is a VTOL transition test mission in a volcanic zone with active sandstorm conditions. The UAV is a convertiplane designed for both hover and fixed-wing flight, equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates in poor visibility with strong, gusty winds increasing with altitude and shifting direction from 240° to 260°. The environment includes GNSS multipath effects, moderate jamming at -85 dBm, and electromagnetic interference affecting navigation reliability. The flight area is bounded by a polygonal geofence with a static no-fly zone near the center and a moving no-fly cylinder drifting southwest. A second UAV and a moving spherical obstacle create dynamic collision risks requiring separation monitoring. The mission involves an inspection corridor with multiple waypoints, requiring precise VTOL-to-forward-flight and back-transition profiles within tight altitude limits. The UAV must use a designated runway for takeoff and landing, with preferred and emergency sites defined. A planned GNSS jamming fault occurs at 200 seconds, lasting 30 seconds with 80% severity, testing resilience. Key constraints include maintaining separation of at least 25 meters, avoiding all no-fly zones, and completing the mission within 600 seconds while managing battery reserve and sensor degradation.",Delay transition by 15s to ensure clear path,Proceed with transition immediately at 190s,Climb 10m to increase separation margin,Descend to minimum altitude to avoid wind gusts,Switch to thermal-only navigation post-jamming,Request UAV2 to adjust heading for alignment,Abort mission and return to emergency landing site,"[""Delay transition by 15s to ensure clear path"", ""Proceed with transition immediately at 190s"", ""Climb 10m to increase separation margin"", ""Descend to minimum altitude to avoid wind gusts"", ""Switch to thermal-only navigation post-jamming"", ""Request UAV2 to adjust heading for alignment"", ""Abort mission and return to emergency landing site""]",Coordinating heading adjustment with UAV2 maintains 25m separation and preserves mission timeline. It enables both agents to anticipate drift and jamming onset without unilateral maneuvers that risk geofence or timing violations. This choice optimizes inter-agent awareness and shared resilience under GNSS degradation. 2025-11-01T18:05:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Volcanic_Zone_ba4189cbfc9a_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Volcanic_Zone,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"At 300 s, GNSS jamming and comms loss occur with 8 m/s winds. How should the UAV optimize energy and navigation?","This is a VTOL transition test mission within a volcanic zone airspace. The UAV is a fixed-wing VTOL swarm drone equipped with RGB and thermal cameras, LiDAR, and GNSS/IMU navigation. The environment features poor visibility, 8 m/s winds from 240°, gusts up to 4 m/s, and a lightning risk. The mission involves inspecting a corridor pattern across five waypoints at altitudes between 40–80 m AGL. The operational area is a 200×200 m geofenced zone with a static no-fly cylinder around the center and a moving no-fly zone drifting southwest. A second UAV and a moving spherical obstacle create dynamic collision risks. The swarm consists of four drones requiring 10 m minimum separation, with roles including leader, follower, scout, and relay. GNSS jamming occurs at 300 seconds lasting 45 seconds, coinciding with a comms loss window, challenging navigation and data link integrity. Lightning risk at 420 seconds introduces a high-severity transient fault. The UAV must manage battery reserves, maintain separation above 25 m or 15 s TTC, avoid geofence and altitude violations, and complete the mission within 600 seconds.",Continue autopilot using GNSS; increase throttle to maintain track,"Switch to dead reckoning, reduce speed by 15%, disable LiDAR",Climb to 100 m for better signal and thermal updrafts,"Hover until jamming ends at 345 s, then resume mission","Abort mission, return to base at full speed","Activate swarm relay link, double transmission power","Descend to 30 m, increase speed by 20%, use visual odometry","[""Continue autopilot using GNSS; increase throttle to maintain track"", ""Switch to dead reckoning, reduce speed by 15%, disable LiDAR"", ""Climb to 100 m for better signal and thermal updrafts"", ""Hover until jamming ends at 345 s, then resume mission"", ""Abort mission, return to base at full speed"", ""Activate swarm relay link, double transmission power"", ""Descend to 30 m, increase speed by 20%, use visual odometry""]","Dead reckoning conserves energy by avoiding futile GNSS retries while reduced speed lowers power demand in wind. Disabling LiDAR saves ~18W, extending battery margin for critical thermal/RGB tasks. Other options waste power, increase risk, or exceed time limits." 2025-11-01T18:05:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Volcanic_Zone_with_Strong_Crosswind_51ed0ad40054_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Volcanic_Zone_with_Strong_Crosswind,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During GNSS jamming at -75 dBm and 16.5 m/s crosswinds, how should the UAV maintain navigation integrity?","This is a VTOL transition test mission for a heavy-lift UAV conducting an inspection in a volcanic zone. The UAV operates within a defined polygonal airspace bounded between 10 and 180 meters AGL, featuring a static no-fly cylinder and a moving restricted zone. Strong crosswinds averaging 16.5 m/s from 240° increase with altitude, with gusts up to 8.2 m/s and shifting wind direction aloft. The environment includes poor visibility, ash clouds, thermal updrafts, and lightning risk, with two active thermal plumes creating localized lift. The UAV is equipped with GNSS, IMU, lidar, RGB and thermal cameras, but faces GNSS multipath, jamming at -75 dBm, and electromagnetic interference. Mission constraints include required runway use, VTOL-to-fixed-wing transition in 12.5 seconds, and fixed-wing-to-VTOL transition in 15 seconds. The UAV must navigate around a moving spherical obstacle and avoid conflict with another UAV on a crossing path. Communication suffers from intermittent downlink loss and weak RSSI, with two planned downlink outage windows. Critical system faults include a 45-second GNSS jamming event and a 30-second IMU bias fault, testing resilience in harsh, dynamic conditions.",Rely solely on GNSS and IMU with fixed weighting,Switch to lidar-only SLAM in ash-dense zones,Use IMU-visual fusion with thermal camera updates,Depend on magnetic heading during EMI interference,Increase reliance on jammed GNSS for position hold,Fuse IMU with RGB optical flow in low visibility,Align with wind vector to reduce drift error,"[""Rely solely on GNSS and IMU with fixed weighting"", ""Switch to lidar-only SLAM in ash-dense zones"", ""Use IMU-visual fusion with thermal camera updates"", ""Depend on magnetic heading during EMI interference"", ""Increase reliance on jammed GNSS for position hold"", ""Fuse IMU with RGB optical flow in low visibility"", ""Align with wind vector to reduce drift error""]","IMU-visual fusion with thermal inputs compensates for GNSS denial and poor RGB visibility due to ash. Thermal cameras penetrate particulates better than RGB, enabling robust feature tracking. This strategy maintains alignment during jamming while mitigating IMU drift through sensor synergy." 2025-11-01T18:05:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Warehouse_ce17af19f3cf_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Warehouse,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which system ensures safe VTOL transition near a cylindrical no-fly zone with LiDAR, wind, and a moving obstacle at 0.5m AGL?","This is a VTOL transition test mission in an indoor warehouse environment. The UAV is a tiltrotor VTOL with eight rotors, designed for efficient hover and forward flight. It carries a payload including RGB camera and LiDAR for inspection tasks. The mission involves navigating a corridor pattern between four waypoints at low altitude. Flight occurs within a confined 50m x 30m polygon airspace with a minimum altitude of 0.5m AGL. A cylindrical no-fly zone is centered in the warehouse, requiring careful path planning. Light wind from the south and a lightning risk are present despite the indoor setting. A second UAV enters from outside, moving opposite to the primary UAV’s direction. A moving spherical obstacle ascends and travels along the southern boundary. GNSS signals may suffer multipath due to warehouse structures, impacting navigation accuracy.",Monocular vision-only navigation for low weight and power,Pure GNSS-guided autopilot ignoring multipath risks,LiDAR-IMU fusion with obstacle prediction and wind compensation,Pre-programmed path with no real-time sensor updates,Optical flow hover using downward camera only,Ultrasonic altimeter only for terrain following,Manual control relying on pilot line-of-sight,"[""Monocular vision-only navigation for low weight and power"", ""Pure GNSS-guided autopilot ignoring multipath risks"", ""LiDAR-IMU fusion with obstacle prediction and wind compensation"", ""Pre-programmed path with no real-time sensor updates"", ""Optical flow hover using downward camera only"", ""Ultrasonic altimeter only for terrain following"", ""Manual control relying on pilot line-of-sight""]","LiDAR-IMU fusion provides accurate state estimation despite GNSS multipath and enables dynamic obstacle avoidance. It integrates wind compensation and real-time path adjustment for safe transition near the no-fly zone. Other options lack sensor redundancy, environmental adaptability, or fail to meet autonomy and safety requirements in confined, dynamic space." 2025-11-01T18:05:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Volcanic_Sandstorm_eb8a6b791272_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Volcanic_Sandstorm,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,Which configuration best ensures safe VTOL transition at 14.5 m/s winds and GNSS at -75 dBm with 5 kg payload?,"This is a VTOL transition test mission in a volcanic zone with poor visibility due to an active sandstorm. The UAV is a heavy-lift octocopter with fixed-wing aerodynamic features, designed for inspection tasks. It carries a 5 kg payload equipped with RGB and thermal cameras, relying on GNSS, IMU, lidar, and other sensors. The flight occurs in a constrained airspace with a maximum altitude of 450 m AGL and includes a permanent no-fly zone plus a moving no-fly cylinder. A second UAV and a drifting spherical obstacle introduce dynamic collision risks. Strong winds up to 14.5 m/s increase with altitude and shift direction, compounded by thermal updrafts near a plume at (850,620). GNSS signals suffer from multipath interference and moderate jamming at -75 dBm, with additional electromagnetic interference. The UAV must perform a runway-assisted takeoff and landing, following a corridor inspection pattern with timed VTOL-to-fixed-wing and back transitions. Communication links experience brief dropouts, and strict separation thresholds are enforced for detect-and-avoid compliance. The mission emphasizes robust navigation and control under extreme environmental stress and sensor degradation.","Monocular vision only, no redundancy",Dual IMU with lidar-assisted attitude hold,GNSS-only navigation with magnetometer backup,Thermal camera primary for localization,Single IMU and barometer for altitude,"Optical flow in sandstorm, no lidar",Fixed-wing mode takeoff to save power,"[""Monocular vision only, no redundancy"", ""Dual IMU with lidar-assisted attitude hold"", ""GNSS-only navigation with magnetometer backup"", ""Thermal camera primary for localization"", ""Single IMU and barometer for altitude"", ""Optical flow in sandstorm, no lidar"", ""Fixed-wing mode takeoff to save power""]","Dual IMU improves fault tolerance and aligns with lidar for stable attitude control during transition. In degraded GNSS (-75 dBm) and high winds, sensor fusion compensates for multipath and drift. Other options lack redundancy or rely on unreliable modalities in sandstorms." 2025-11-01T18:05:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/VTOL_Transition_Test_in_Wind_Farm_with_Hail_ecc21ceab29b_mcq.json,uavbench-mcq-v1,VTOL_Transition_Test_in_Wind_Farm_with_Hail,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"At 200s, icing reduces performance; UAV must re-route around moving obstacle while maintaining 25m separation and reaching waypoint by 600s.","This is a VTOL transition test mission for an octocopter conducting an inspection in a wind farm. The flight occurs within a defined polygon airspace ranging from 10 to 120 meters AGL, featuring a static no-fly zone and a moving dynamic exclusion zone. Weather includes strong winds up to 13.5 m/s increasing with altitude, poor visibility, and active hail conditions. The UAV is equipped with standard sensors including GNSS, IMU, and LiDAR, plus an RGB camera payload for visual inspection. A significant constraint is GNSS signal degradation due to jamming and electromagnetic interference near turbines. The mission involves transitioning from hover to forward flight and back, with planned waypoints forming a corridor pattern across the site. An icing event fault is simulated at 200 seconds, reducing performance for one minute. Another UAV and a moving spherical obstacle create dynamic traffic requiring separation assurance. Communication experiences brief dropouts, and the system must maintain safe separation within 25 meters or 15 seconds of time-to-collision thresholds. The UAV must complete the route within 600 seconds while managing battery reserve and avoiding geofence or altitude violations.","Climb to 120m AGL, fly direct to next waypoint ignoring lateral deviation","Descend to 10m AGL, accelerate forward avoiding obstacle via southern edge","Hold hover until icing clears at 260s, then resume original route","Deviate east maintaining 65m AGL, adjust speed to compensate for wind and drift","Turn sharply west to bypass obstacle, maintain current altitude of 50m","Reduce speed, descend into NFZ to shortcut path and regain timeline","Pitch forward abruptly to gain speed, cutting across dynamic exclusion zone","[""Climb to 120m AGL, fly direct to next waypoint ignoring lateral deviation"", ""Descend to 10m AGL, accelerate forward avoiding obstacle via southern edge"", ""Hold hover until icing clears at 260s, then resume original route"", ""Deviate east maintaining 65m AGL, adjust speed to compensate for wind and drift"", ""Turn sharply west to bypass obstacle, maintain current altitude of 50m"", ""Reduce speed, descend into NFZ to shortcut path and regain timeline"", ""Pitch forward abruptly to gain speed, cutting across dynamic exclusion zone""]","Option D maintains safe altitude within operational band, avoids NFZ and dynamic obstacle with sufficient lateral buffer. It accounts for wind-induced GNSS drift and re-routing latency while optimizing energy use and time-to-go. Other options violate geofence, time, or separation constraints." 2025-11-01T18:05:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Volcanic_Ridge_BVLOS_Survey_2d2069b730b5_mcq.json,uavbench-mcq-v1,Volcanic_Ridge_BVLOS_Survey,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"UAV must complete survey in 600 s with GNSS degradation, 4.2 m/s gusts, and thermal updrafts near ridge.","This is a BVLOS fixed-wing UAV survey mission over a volcanic ridge area. The airspace includes a defined polygonal geofence and a cylindrical no-fly zone near the center of the operation area. Weather features include strong winds from the southwest, gusting up to 4.2 m/s, and icing conditions that temporarily affect UAV performance. Wind speed and direction vary significantly with altitude, requiring adaptive flight control. The UAV is equipped with RGB and thermal cameras for data collection, relying on GNSS, IMU, and other standard sensors. GNSS signals are degraded by multipath effects and moderate jamming, with brief communication link losses expected. The mission must be completed within 600 seconds, following a corridor pattern between designated waypoints at 150–200 m AGL. A second UAV enters the airspace from the south, requiring separation monitoring to avoid conflicts. Thermal updrafts near the ridge can provide lift but may disturb flight stability. The UAV must maintain safe separation, avoid NFZs and moving obstacles, and return to the runway for landing.",Prioritize GNSS for position; ignore IMU drift below 200 m AGL,Switch to IMU-camera fusion when GNSS signal drops below threshold,Rely on magnetic heading during strong southwest winds,Use thermal camera to replace lost RGB data in icing conditions,Extend loiter near cylinder to assess second UAV's trajectory,Climb above 200 m AGL to avoid wind shear and updrafts,Descend to 100 m AGL for better GNSS signal clarity,"[""Prioritize GNSS for position; ignore IMU drift below 200 m AGL"", ""Switch to IMU-camera fusion when GNSS signal drops below threshold"", ""Rely on magnetic heading during strong southwest winds"", ""Use thermal camera to replace lost RGB data in icing conditions"", ""Extend loiter near cylinder to assess second UAV's trajectory"", ""Climb above 200 m AGL to avoid wind shear and updrafts"", ""Descend to 100 m AGL for better GNSS signal clarity""]","IMU-visual fusion compensates for GNSS multipath and jamming, maintaining navigation integrity. It leverages camera data unaffected by RF interference while constraining IMU drift. This approach adapts to environmental turbulence and preserves mission timing within the geofence." 2025-11-01T18:05:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Volcanic_Search_and_Rescue_Mission_d33887110eb9_mcq.json,uavbench-mcq-v1,Volcanic_Search_and_Rescue_Mission,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"UAV must search at 30–450 m AGL in volcanic zone with 11 m/s winds, GNSS jamming at -85 dBm, and dynamic obstacles near launch.","Fixed-wing UAV conducts a search and rescue mission in a hazardous volcanic zone. The airspace is restricted between 30 and 450 meters AGL within a defined polygon boundary. Strong winds up to 11 m/s increase with altitude and shift direction, complicating flight control. Poor visibility and ash clouds reduce visual clarity, with lightning posing additional risk. The UAV carries thermal and RGB cameras, radar, and standard navigation sensors for detection. GNSS signals suffer from multipath effects and interference, with a simulated jamming event at -85 dBm. A static no-fly zone surrounds the volcano’s center, while a dynamic obstacle moves near the launch area. Another UAV and a moving spherical obstacle create mid-air collision risks requiring DAA monitoring. The mission requires runway-assisted takeoff and landing, with limited emergency landing options. Battery endurance is critical, with faults including GNSS jamming and IMU bias testing resilience.",Fly at 20 m AGL to avoid restricted airspace and reduce wind exposure,Climb to 500 m AGL for better GNSS signal and radar coverage,Enter restricted zone at 400 m AGL to maximize sensor range,Delay launch until dynamic obstacle clears the takeoff path,Divert mid-mission to alternate landing site without runway,Descend below 30 m AGL when jamming detected to use visual navigation,Proceed with takeoff but reduce speed to conserve battery for DAA maneuvers,"[""Fly at 20 m AGL to avoid restricted airspace and reduce wind exposure"", ""Climb to 500 m AGL for better GNSS signal and radar coverage"", ""Enter restricted zone at 400 m AGL to maximize sensor range"", ""Delay launch until dynamic obstacle clears the takeoff path"", ""Divert mid-mission to alternate landing site without runway"", ""Descend below 30 m AGL when jamming detected to use visual navigation"", ""Proceed with takeoff but reduce speed to conserve battery for DAA maneuvers""]","The restricted airspace spans 30–450 m AGL, so flying below or above violates limits. Launching with a dynamic obstacle near the runway risks collision. Delaying ensures separation and respects runway-assisted takeoff requirement while preserving battery for mission-critical phases." 2025-11-01T18:05:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Volcanic_SAR_with_Convertiplane_bb4011717b5f_mcq.json,uavbench-mcq-v1,Volcanic_SAR_with_Convertiplane,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best balances endurance, sensor reliability, and fault tolerance in a volcanic zone with 10–250 m AGL airspace and lightning risk?","This scenario involves a search and rescue mission using a convertiplane UAV in a volcanic zone. The airspace is constrained between 10 and 250 meters AGL with a static no-fly zone near the center and a moving exclusion zone drifting slowly. Weather includes strong winds increasing with altitude, poor visibility, thermal updrafts, and a risk of lightning. The UAV is equipped with radar, RGB and thermal cameras, and relies on GNSS despite multipath effects and electromagnetic interference. Wind shear and thermal plumes create challenging flight dynamics, particularly during transitions between hover and forward flight. The mission requires navigating a corridor pattern through waypoints while avoiding dynamic obstacles and other air traffic. Communication experiences brief downlink losses, and a lightning-induced fault occurs mid-mission. The UAV must return to a designated runway for landing, with a backup emergency site available. Battery endurance and sensor reliability are critical due to environmental stresses and operational constraints.",Fixed-wing with extended wingspan and solar augmentation,Quadcopter with dual-battery system and RF redundancy,Convertiplane with triple-redundant IMUs and shielded avionics,Helicopter with mechanical flight controls and no GNSS,Blimp with passive thermal tracking and low wind resistance,Fixed-wing with single GNSS and minimal sensor suite,Convertiplane with lightweight frame and unshielded electronics,"[""Fixed-wing with extended wingspan and solar augmentation"", ""Quadcopter with dual-battery system and RF redundancy"", ""Convertiplane with triple-redundant IMUs and shielded avionics"", ""Helicopter with mechanical flight controls and no GNSS"", ""Blimp with passive thermal tracking and low wind resistance"", ""Fixed-wing with single GNSS and minimal sensor suite"", ""Convertiplane with lightweight frame and unshielded electronics""]","The convertiplane with triple-redundant IMUs and shielded avionics ensures stable transitions and resists electromagnetic interference from lightning. It maintains sensor and navigation integrity in thermals and GNSS multipath, unlike less redundant or unshielded options. Other systems lack either endurance, fault tolerance, or environmental adaptability under combined stressors." 2025-11-01T18:05:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Volcanic_Search_and_Rescue_with_Glider_a3b9228c74e1_mcq.json,uavbench-mcq-v1,Volcanic_Search_and_Rescue_with_Glider,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 300 m AGL with 40% visibility, GNSS jamming, and strong updrafts, which navigation strategy maximizes resilience and sensor integrity?","This is a search and rescue mission using a fixed-wing glider UAV in a volcanic zone with extreme weather and hazardous conditions. The glider carries both RGB and thermal cameras to detect survivors in poor visibility. Operations occur between 50 m and 450 m AGL within a defined polygonal geofence that includes a central no-fly zone around a hazardous area. The environment features strong and variable winds, increasing with altitude, and two thermal updrafts that the glider can exploit for lift. Weather challenges include lightning risk, extreme heat, and poor visibility, requiring careful route planning. GNSS signals suffer from multipath effects and moderate jamming, while electromagnetic interference adds sensor reliability concerns. The UAV must avoid a moving obstacle near the center of the zone and maintain separation from another UAV on a straight path. Communication experiences brief downlink outages, and the mission requires a runway landing at the designated threshold. Energy management is critical due to high drag and limited battery, with 30% reserved for safe return. The mission emphasizes thermal soaring, sensor coverage, and navigation resilience under degraded conditions.",Rely solely on GNSS with EKF filtering for stability,Switch to pure IMU dead reckoning for 5 minutes,"Use thermal updrafts to extend loiter, prioritize visual odometry",Descend to 50 m AGL to reduce wind and jamming effects,Follow magnetic heading using compass despite EMI risks,Increase reliance on thermal camera for motion detection,Fly straight path using predictive wind model only,"[""Rely solely on GNSS with EKF filtering for stability"", ""Switch to pure IMU dead reckoning for 5 minutes"", ""Use thermal updrafts to extend loiter, prioritize visual odometry"", ""Descend to 50 m AGL to reduce wind and jamming effects"", ""Follow magnetic heading using compass despite EMI risks"", ""Increase reliance on thermal camera for motion detection"", ""Fly straight path using predictive wind model only""]","Thermal updrafts enable energy-efficient loitering, reducing reliance on battery-intensive maneuvers. Visual odometry compensates for GNSS degradation and jamming by fusing RGB data with IMU, maintaining positional accuracy. This strategy preserves energy, enhances sensor coverage, and leverages environmental features under poor visibility and electromagnetic interference." 2025-11-01T18:05:28Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Volcanic_Zone_Aerial_Mapping_with_Swarm_Drones_ba7c1750b3b9_mcq.json,uavbench-mcq-v1,Volcanic_Zone_Aerial_Mapping_with_Swarm_Drones,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Which path respects 8m drone separation, avoids the 15m intruder buffer, and stays within 10–150m AGL under GNSS degradation?","This mission involves a swarm of five drones conducting aerial mapping in a volcanic zone with challenging environmental conditions. The operation takes place within a defined polygonal airspace bounded between 10 and 150 meters AGL, featuring both static and moving no-fly zones. Weather includes moderate winds of 6 m/s increasing with altitude, gusts up to 3 m/s, and thermal updrafts, with one active plume creating vertical air movement. The UAVs are multirotor swarm drones equipped with RGB and thermal cameras, LiDAR, and full sensor suite for navigation under GNSS-degraded conditions. Key constraints include GNSS multipath, electromagnetic interference, and localized jamming at -75 dBm, reducing signal reliability. The swarm must maintain a minimum 8-meter inter-drone separation and avoid a dynamic no-fly cylinder moving slowly through the area. A single intruder UAV crosses the airspace on a fixed path, requiring detect-and-avoid compliance with a 15-meter separation threshold. Communication experiences brief downlink outages, and signal strength must remain above -85 dBm to ensure data integrity. Battery endurance is critical, with a 30% reserve required and flight time limited to 600 seconds. The mission concludes with a return to the preferred landing site, navigating around obstacles and updrafts while maintaining formation and sensor coverage.",Climb to 160m AGL for better GNSS signal and straight trajectory,Descend to 8m AGL to avoid updrafts and reduce wind exposure,"Maintain 120m AGL, delay waypoint entry by 40s to sync swarm spacing",Cut through dynamic NFZ center to save 90s on mission time,Fly direct across intruder path at same altitude and time,Shift east by 12m to bypass plume with 7m inter-drone spacing,"Adjust formation to lozenge, re-route northward at 130m AGL, maintain 10m separation","[""Climb to 160m AGL for better GNSS signal and straight trajectory"", ""Descend to 8m AGL to avoid updrafts and reduce wind exposure"", ""Maintain 120m AGL, delay waypoint entry by 40s to sync swarm spacing"", ""Cut through dynamic NFZ center to save 90s on mission time"", ""Fly direct across intruder path at same altitude and time"", ""Shift east by 12m to bypass plume with 7m inter-drone spacing"", ""Adjust formation to lozenge, re-route northward at 130m AGL, maintain 10m separation""]","Option G maintains safe altitude within 10–150m AGL, avoids the intruder with lateral separation, and adapts formation to preserve communication and sensor coverage. It accounts for GNSS degradation by using relative navigation while respecting dynamic obstacles and battery limits. Other choices violate altitude, separation, or no-fly zone constraints." 2025-11-01T18:05:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Volcanic_Zone_Area_Reconnaissance_with_Fixed-Wing_UAV_1fb199848f8f_mcq.json,uavbench-mcq-v1,Volcanic_Zone_Area_Reconnaissance_with_Fixed-Wing_UAV,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 125s, comms lost; UAV near waypoint with thermal updrafts, 210° wind at 8.5 m/s, and 50m separation from crossing UAV.","Fixed-wing UAV conducts area reconnaissance in a volcanic zone with thermal updrafts and moderate wind from 210 degrees at 8.5 m/s. The mission operates within a defined polygonal airspace bounded from 50 to 600 meters AGL, featuring a central no-fly cylinder near the launch point. The UAV is equipped with RGB and thermal cameras for imaging payload, powered by an 800 Wh battery with a 30% reserve requirement. Strong thermal plumes near key waypoints provide lift but complicate altitude control. A moving spherical obstacle drifts westward at 2 m/s, requiring dynamic avoidance. The mission requires use of a runway for takeoff and landing, with primary and emergency sites at opposite ends of the zone. A second UAV enters the airspace on a crossing path, enforcing separation minima of 50 meters and 30 seconds time-to-close. GNSS multipath effects are minimal, but brief comms loss occurs between 120 and 135 seconds. Flight endurance is constrained by battery capacity and aerodynamic drag, especially during turns. The grid-pattern waypoint route covers the full area within a 600-second time budget while avoiding restricted zones and traffic.",Climb to 550 m AGL and hold for 30 seconds,Descend to 400 m AGL and continue to next waypoint,"Turn right, descend to 300 m AGL, and divert to emergency runway",Maintain heading and altitude; rely on pre-programmed route,Accelerate to bypass crossing UAV within 20 meters,Enter loiter pattern at 600 m AGL above thermal plume,Pitch down sharply and fly direct to primary runway,"[""Climb to 550 m AGL and hold for 30 seconds"", ""Descend to 400 m AGL and continue to next waypoint"", ""Turn right, descend to 300 m AGL, and divert to emergency runway"", ""Maintain heading and altitude; rely on pre-programmed route"", ""Accelerate to bypass crossing UAV within 20 meters"", ""Enter loiter pattern at 600 m AGL above thermal plume"", ""Pitch down sharply and fly direct to primary runway""]","Comms loss at 125s requires autonomous compliance with separation and reserve energy. Descending to 300 m AGL avoids updraft instability and crossing traffic while enabling glide to emergency runway. Other options violate separation, exceed max altitude, or risk battery below 30% due to inefficient maneuvers." 2025-11-01T18:05:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Volcanic_Zone_Package_Delivery_with_Helicopter_1e4ff35c1036_mcq.json,uavbench-mcq-v1,Volcanic_Zone_Package_Delivery_with_Helicopter,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 200m altitude with 15 m/s winds and GNSS jamming, how should the UAV maintain position and security?","This is a delivery mission using a battery-powered helicopter UAV equipped with RGB and thermal cameras, lidar, and standard navigation sensors. The flight occurs in a volcanic zone with poor visibility, active ash clouds, and lightning risk. Winds are strong and increase with altitude, shifting direction and reaching 15 m/s at 200 meters. The UAV must deliver a package while avoiding a static no-fly zone and a moving no-fly cylinder drifting west. A dynamic moving obstacle and another UAV traffic agent add complexity to navigation. GNSS signals suffer from multipath and interference, with a planned jamming fault and IMU bias introduced during flight. Communication experiences two brief downlink loss windows, and electromagnetic interference is present. The mission requires adherence to altitude limits between 10 and 250 meters AGL within a defined polygonal airspace. Thermal updrafts near the volcano may affect stability. Success depends on safe arrival at the delivery waypoint within the time budget while maintaining separation and avoiding faults.",Use encrypted GNSS and lidar with fallback to IMU during jamming,Rely solely on unencrypted GNSS with RGB camera for correction,Switch to open-loop control using preloaded GPS waypoints,Disable encryption to reduce latency during communication loss,Trust all telemetry without authentication to maintain control rate,Use thermal camera only for navigation to avoid signal interference,Transmit all data in plaintext to maximize downlink throughput,"[""Use encrypted GNSS and lidar with fallback to IMU during jamming"", ""Rely solely on unencrypted GNSS with RGB camera for correction"", ""Switch to open-loop control using preloaded GPS waypoints"", ""Disable encryption to reduce latency during communication loss"", ""Trust all telemetry without authentication to maintain control rate"", ""Use thermal camera only for navigation to avoid signal interference"", ""Transmit all data in plaintext to maximize downlink throughput""]","Option A ensures data integrity and availability by using encrypted, authenticated sensors and enables secure fallback to inertial navigation during GNSS jamming. It maintains control stability by fusing lidar and IMU when GNSS is compromised. Other choices weaken cyber-physical resilience by introducing unverified data, reducing security, or ignoring adversarial conditions." 2025-11-01T18:05:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Volcanic_Zone_Solar_Recon_Mission_1a43eeb76fec_mcq.json,uavbench-mcq-v1,Volcanic_Zone_Solar_Recon_Mission,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"With GNSS at -75 dBm, 18 m/s winds, and icing, which navigation strategy maintains survey accuracy and safety?","This is a solar-powered fixed-wing UAV conducting a grid survey mission in a hazardous volcanic zone. The airspace is restricted with a geofenced polygon and two no-fly zones, one static and one moving dynamically. Weather conditions include strong winds up to 18 m/s, gusts, poor visibility, and hail, with increasing wind speed and shifting direction at higher altitudes. The UAV is equipped with RGB and thermal cameras for data collection and relies on GNSS, IMU, magnetometer, and barometer for navigation. GNSS signals are degraded due to multipath effects and moderate jamming at -75 dBm, compounded by electromagnetic interference. The UAV must avoid a moving obstacle and coordinate with traffic from another UAV entering the zone. A critical icing event occurs mid-mission, reducing performance for one minute, while communication experiences brief dropouts. Flight altitude is constrained between 50 m and 400 m AGL, and the UAV must maintain runway access for emergency landing. Thermal updrafts are present and can be exploited for energy savings. Mission success depends on completing the survey within time and energy limits while avoiding collisions and system failures.",Prioritize GNSS despite jamming; correct drift with magnetometer updates,Switch to pure IMU dead reckoning for 5 minutes during dropout,"Fuse IMU, barometer, and visual odometry; limit reliance on GNSS and mag",Rely on thermal updraft detection to correct altitude errors,Use magnetometer as primary heading source despite EMI interference,Increase reliance on GNSS during hail due to stable barometer readings,Navigate with RGB camera only; disable all inertial sensors,"[""Prioritize GNSS despite jamming; correct drift with magnetometer updates"", ""Switch to pure IMU dead reckoning for 5 minutes during dropout"", ""Fuse IMU, barometer, and visual odometry; limit reliance on GNSS and mag"", ""Rely on thermal updraft detection to correct altitude errors"", ""Use magnetometer as primary heading source despite EMI interference"", ""Increase reliance on GNSS during hail due to stable barometer readings"", ""Navigate with RGB camera only; disable all inertial sensors""]","GNSS is degraded by multipath and -75 dBm jamming, and magnetometer suffers EMI, making them unreliable. Visual odometry fused with IMU and barometer provides resilient state estimation despite wind and icing. This strategy maintains accuracy, leverages available sensors, and mitigates environmental hazards without single-point failures." 2025-11-01T18:05:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Volcanic_Zone_Snowfall_Survey_Mission_cef6451110b9_mcq.json,uavbench-mcq-v1,Volcanic_Zone_Snowfall_Survey_Mission,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"With 13.5 m/s winds, icing, and 10-minute limit, which action maximizes survey completion and safe return?","This is a fixed-wing helicopter UAV conducting a survey mission in a volcanic zone with active thermal plumes and hazardous weather. The airspace is bounded between 50 and 600 meters AGL, featuring a static no-fly zone and a moving restricted zone. The environment includes moderate to heavy snowfall, poor visibility, and icing conditions that impact flight performance. Wind speeds increase with altitude, reaching up to 13.5 m/s from the southwest, with gusts adding turbulence. The UAV is equipped with radar, RGB and thermal cameras, and standard navigation sensors, but faces GNSS multipath and interference from volcanic emissions. A dynamic moving obstacle and a second UAV create traffic separation challenges, requiring vigilance to maintain safe distances. The mission involves a grid survey pattern covering four waypoints within a 10-minute time limit, starting near the edge of the geofenced area. Communication experiences brief dropouts, and GNSS signal degradation is expected due to jamming and environmental interference. An icing event occurs mid-mission, reducing efficiency and requiring careful energy management to ensure safe return.",Climb to 600 m for clearer GNSS and faster transit,Descend to 50 m AGL to avoid wind and save power,Reduce camera frame rate to cut power and extend endurance,Abort survey and return directly to base immediately,Switch to thermal-only imaging to save bandwidth,Maintain current altitude and speed to ensure coverage,Increase speed to complete grid before battery depletes,"[""Climb to 600 m for clearer GNSS and faster transit"", ""Descend to 50 m AGL to avoid wind and save power"", ""Reduce camera frame rate to cut power and extend endurance"", ""Abort survey and return directly to base immediately"", ""Switch to thermal-only imaging to save bandwidth"", ""Maintain current altitude and speed to ensure coverage"", ""Increase speed to complete grid before battery depletes""]","Reducing camera frame rate lowers power consumption, preserving battery for critical navigation and return. It balances data quality with energy constraints under GNSS degradation and icing. Other options either increase drag, waste energy, or sacrifice mission objectives unnecessarily." 2025-11-01T18:05:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Volcanic_Zone_Recon_with_Convertiplane_a7d07048c4aa_mcq.json,uavbench-mcq-v1,Volcanic_Zone_Recon_with_Convertiplane,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During 60-second icing at -60 dBm GNSS jamming, fog reduces visibility to 50 m. How should navigation adapt?","This mission involves a convertiplane UAV conducting a fixed-wing area reconnaissance in a volcanic zone with poor visibility due to fog and icing conditions. The flight occurs within a defined polygonal airspace, bounded between 30 and 180 meters AGL, featuring both static and moving no-fly zones. Strong and gusty winds increase with altitude, shifting direction from 240° to 270°, and thermal updrafts of up to 2.5 m/s are present near the volcano's center. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, but faces challenges from GNSS multipath, jamming at -60 dBm, and electromagnetic interference. A dynamic no-fly zone moves through the area, and a second UAV and a moving spherical obstacle create traffic separation concerns. The UAV must maintain at least 25 meters separation and avoid DAA breaches, with a time-to-collision threshold of 20 seconds. The mission requires a runway takeoff and landing, with a preferred return site and an emergency option, and includes a planned icing event reducing performance for one minute. Communication experiences two brief downlink loss windows, and the UAV must manage battery reserves carefully under increased drag from icing. The convertiplane transitions between VTOL and fixed-wing modes, with predefined transition durations, and must complete its corridor-style waypoint route within 600 seconds. Success depends on avoiding collisions, maintaining separation, completing the route, and landing safely despite environmental and system challenges.",Rely solely on GNSS due to jamming tolerance,Switch to LiDAR-only SLAM in fixed-wing mode,Increase reliance on IMU-visual-thermal fusion,Descend below 30 m AGL to avoid wind gusts,Use pure magnetic heading for course stability,Extend transition time to VTOL for safety,Halt mission and hover using RGB feedback,"[""Rely solely on GNSS due to jamming tolerance"", ""Switch to LiDAR-only SLAM in fixed-wing mode"", ""Increase reliance on IMU-visual-thermal fusion"", ""Descend below 30 m AGL to avoid wind gusts"", ""Use pure magnetic heading for course stability"", ""Extend transition time to VTOL for safety"", ""Halt mission and hover using RGB feedback""]","GNSS is degraded by multipath and -60 dBm jamming, making it unreliable. Visual and thermal cameras with IMU provide robust short-term pose estimation in fog-limited visibility. Fusing these with LiDAR and inertial data maintains situational awareness while mitigating environmental and sensor-specific failures." 2025-11-01T18:05:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Volcanic_Zone_Swarm_Coordination_41b2a58c6229_mcq.json,uavbench-mcq-v1,Volcanic_Zone_Swarm_Coordination,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 110 m AGL with 15 m/s winds and GNSS jamming, how should the swarm adjust for stability, navigation, and separation?","This is a swarm-based inspection mission in a volcanic zone with challenging weather and environmental hazards. The airspace is restricted between 10 and 120 meters AGL, with a static no-fly zone and a moving dynamic no-fly zone. Strong winds up to 15 m/s increase with altitude and shift direction, posing flight stability challenges. Microburst risk and poor visibility further degrade operational safety. Four quadrotor UAVs equipped with RGB and thermal cameras, LiDAR, and full sensor suites operate as a coordinated swarm with leader, scout, and relay roles. The UAVs must maintain minimum 15-meter separation and navigate around thermal updrafts and a moving spherical obstacle. GNSS signals suffer from multipath, interference, and a planned 45-second jamming event, requiring resilient navigation. A motor failure fault is also simulated, testing fault tolerance. The mission must be completed within 600 seconds along a defined corridor of waypoints, returning to a preferred landing site. Communication downlink is briefly lost during the GNSS jamming period, increasing autonomy demands.",Descend to 20 m AGL to reduce wind exposure and conserve battery,Climb to 130 m AGL for clearer signals and smoother airflow,Maintain 110 m AGL and increase thrust to counteract wind gusts,Halt all motion until GNSS returns after 45 seconds,"Disband swarm, letting UAVs navigate independently using LiDAR","Descend to 12 m AGL, bypassing the restricted zone for safety","Transition to IMU and visual odometry, descend to 25 m AGL, reduce speed","[""Descend to 20 m AGL to reduce wind exposure and conserve battery"", ""Climb to 130 m AGL for clearer signals and smoother airflow"", ""Maintain 110 m AGL and increase thrust to counteract wind gusts"", ""Halt all motion until GNSS returns after 45 seconds"", ""Disband swarm, letting UAVs navigate independently using LiDAR"", ""Descend to 12 m AGL, bypassing the restricted zone for safety"", ""Transition to IMU and visual odometry, descend to 25 m AGL, reduce speed""]","Descending to 25 m avoids high winds and stays within the 10–120 m airspace, improving stability and energy efficiency. Using IMU and visual odometry maintains navigation during GNSS jamming without sacrificing coordination. Reduced speed ensures control in poor visibility and maintains 15 m separation despite communication loss." 2025-11-01T18:05:29Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Warehouse_Indoor_Facade_Inspection_with_Swarm_Drones_in_Fog_b44e8f1faf90_mcq.json,uavbench-mcq-v1,Warehouse_Indoor_Facade_Inspection_with_Swarm_Drones_in_Fog,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"During foggy indoor flight at 5m AGL, with RSSI dropping to -85 dBm, how should the scout drone prioritize sensor fusion for navigation?","This is an indoor warehouse inspection mission using a swarm of three drones. The operation takes place in a confined polygonal airspace with a maximum altitude of 6 meters AGL. Weather conditions include light wind from the southeast and poor visibility due to fog inside the facility. Each drone is a quadrotor with a battery-powered propulsion system and carries an RGB camera and LiDAR for facade imaging. The drones operate without GNSS, relying on onboard sensors due to indoor signal limitations and significant GNSS multipath and electromagnetic interference. A central cylinder-shaped no-fly zone and a moving spherical obstacle require dynamic avoidance. The swarm maintains a minimum separation of 2 meters between units, with defined leader, follower, and scout roles. Communication experiences brief downlink outages during the flight, with minimum RSSI at -85 dBm. The mission follows a corridor inspection pattern along the warehouse perimeter within a 10-minute time limit. Drones start and return to a designated spawn point, with an alternative emergency landing site available.",Rely solely on LiDAR for precise obstacle mapping,Use only IMU and visual odometry during comms outages,Switch to GNSS when signal briefly improves near windows,Fuse LiDAR with visual-inertial odometry for localization,Depend on swarm GPS positions relayed via downlink,Increase reliance on magnetic heading during IMU drift,Navigate using wind direction estimates from barometer,"[""Rely solely on LiDAR for precise obstacle mapping"", ""Use only IMU and visual odometry during comms outages"", ""Switch to GNSS when signal briefly improves near windows"", ""Fuse LiDAR with visual-inertial odometry for localization"", ""Depend on swarm GPS positions relayed via downlink"", ""Increase reliance on magnetic heading during IMU drift"", ""Navigate using wind direction estimates from barometer""]","LiDAR provides structural data despite fog, while visual-inertial odometry compensates for GNSS denial and maintains pose estimation. Fusing both ensures robustness against environmental degradation and brief communication losses. This adaptive fusion maximizes perception integrity in confined, signal-denied spaces." 2025-11-01T18:05:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Warehouse_Indoor_Hexacopter_Inspection_in_Coastal_Hot_Conditions_382a1ef642b4_mcq.json,uavbench-mcq-v1,Warehouse_Indoor_Hexacopter_Inspection_in_Coastal_Hot_Conditions,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"At 125 seconds, during downlink loss, how should the hexacopter respond to the moving obstacle and westbound UAV at 3.0 m/s with 4.0 m/s wind?","This mission involves a hexacopter conducting an indoor warehouse inspection in a coastal area under hot conditions with moderate winds from the southeast. The flight occurs entirely indoors within a confined polygonal airspace measuring 50 by 40 meters, with altitude restricted between 0.5 and 8.0 meters AGL. Weather includes a steady 4.0 m/s wind at 135 degrees and gusts up to 2.5 m/s, impacting stability in the open warehouse environment. The UAV is a battery-powered hexacopter equipped with LIDAR, RGB camera, IMU, magnetometer, and barometer, but lacks GNSS, relying on relative navigation. The payload adds 0.3 kg with moderate drag, affecting maneuverability and power consumption. A static no-fly zone (cylinder, 5m radius) is centered in the warehouse, and a dynamic no-fly zone moves slowly near the spawn area, requiring real-time avoidance. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV traffic agent traveling west at 3.0 m/s. Communication experiences a brief downlink loss between 120 and 130 seconds, requiring robust onboard decision-making. The mission must be completed within 600 seconds, returning to the start point while respecting energy reserves and avoiding collisions or airspace violations.",Ascend to 8.0 m and hold for clearance,Match westbound UAV speed and follow,"Divert north at 2.0 m/s, scanning with LIDAR",Descend to 0.5 m and drift with wind,Hover at reduced power to conserve energy,Fly direct through dynamic no-fly zone,Synchronize path behind westbound UAV at 3.5 m/s,"[""Ascend to 8.0 m and hold for clearance"", ""Match westbound UAV speed and follow"", ""Divert north at 2.0 m/s, scanning with LIDAR"", ""Descend to 0.5 m and drift with wind"", ""Hover at reduced power to conserve energy"", ""Fly direct through dynamic no-fly zone"", ""Synchronize path behind westbound UAV at 3.5 m/s""]","C ensures obstacle avoidance and safe separation by proactive lateral diversion with sensor support. It maintains mission timeline and energy limits while respecting airspace constraints. Other options violate altitude, collision, or communication-degraded decision rules." 2025-11-01T18:05:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Warehouse_Indoor_Glider_Delivery_on_Hot_Ship_Deck_3ca83fd7687d_mcq.json,uavbench-mcq-v1,Warehouse_Indoor_Glider_Delivery_on_Hot_Ship_Deck,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,A glider UAV must deliver a 0.5 kg payload in a 40x30 m warehouse with a central NFZ and moving obstacle at 0.5 m/s.,"This mission involves a glider-type UAV performing an indoor warehouse delivery on a hot ship deck. The operation takes place within a confined polygonal airspace measuring 40x30 meters with altitude limits from 1.0 to 12.0 meters AGL. Weather conditions include a light wind of 3.0 m/s from 135 degrees with minor gusts, though visibility is good. The UAV is equipped with a battery-powered propulsion system and carries a 0.5 kg payload, relying on sensors including GNSS, IMU, lidar, and RGB camera. A no-fly zone is defined as a cylinder near the center of the warehouse, requiring careful path planning to avoid. The UAV must maintain separation of at least 5.0 meters from obstacles and other traffic, with a time-to-collision threshold of 8.0 seconds. A moving spherical obstacle drifts leftward at 0.5 m/s, adding dynamic risk. The mission requires use of a designated runway for takeoff and landing, with a preferred landing site at the far end of the warehouse. Battery reserve is set to 30%, and energy consumption must be closely managed over the 600-second time budget. Mission success depends on avoiding geofence breaches, NFZ violations, collisions, and maintaining adequate battery and separation margins throughout.","Fly direct path, adjust altitude to 11.5 m to avoid NFZ and obstacle",Descend to 1.5 m to minimize wind effects near landing zone,Circle outside NFZ at 4.5 m lateral separation until obstacle clears path,Increase speed to 8 m/s to reduce exposure time near moving obstacle,Delay takeoff by 20 s to allow obstacle drift out of flight corridor,Use lidar for obstacle prediction while RGB tracks landing marker,Switch to GNSS-only navigation to conserve sensor power,"[""Fly direct path, adjust altitude to 11.5 m to avoid NFZ and obstacle"", ""Descend to 1.5 m to minimize wind effects near landing zone"", ""Circle outside NFZ at 4.5 m lateral separation until obstacle clears path"", ""Increase speed to 8 m/s to reduce exposure time near moving obstacle"", ""Delay takeoff by 20 s to allow obstacle drift out of flight corridor"", ""Use lidar for obstacle prediction while RGB tracks landing marker"", ""Switch to GNSS-only navigation to conserve sensor power""]","Sensor fusion ensures continuous situational awareness: lidar tracks the moving obstacle while RGB confirms landing site integrity. This maintains coordination between perception and navigation, avoiding over-reliance on a single system. Other options violate separation, timing, or sensing constraints." 2025-11-01T18:05:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Warehouse_Indoor_Octocopter_Inspection_9f34611a100d_mcq.json,uavbench-mcq-v1,Warehouse_Indoor_Octocopter_Inspection,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,UAV must inspect at 3m AGL with 5m separation in EM interference; which navigation strategy ensures resilience and safety?,"This is an indoor warehouse inspection mission using an octocopter UAV equipped with LIDAR, RGB camera, and inertial sensors, operating without GNSS. The flight occurs in a rural area with good visibility but features thermal updrafts and moderate wind from the south. The UAV must navigate within a confined polygonal airspace between 1 and 12 meters AGL, avoiding a central cylindrical no-fly zone. Strong electromagnetic interference and GNSS multipath effects are present, requiring reliance on alternative navigation methods. The mission involves flying a corridor pattern around the warehouse at 3 meters altitude, with one waypoint near the restricted zone at 6 meters. A single moving spherical obstacle drifts slowly at 4 meters altitude, and another UAV is present on a crossing path. Battery capacity is limited, with a reserve of 30% required for safe operation. The UAV spawns at the corner of the space and must return there for landing, with an emergency site available. Collision avoidance is critical, with a 5-meter separation threshold and 3-second time-to-contact alert. Success depends on completing the inspection within 10 minutes while maintaining safe flight parameters and avoiding breaches.",Use encrypted UWB with LIDAR SLAM and authenticated commands,Rely on unencrypted Wi-Fi with camera-only localization,Switch to manual RC with GNSS when LIDAR degrades,Use open telemetry with inertial drift correction every 30s,Navigate via unverified visual markers on warehouse walls,Transmit control signals over unauthenticated Bluetooth,Depend on continuous RGB optical flow without sensor fusion,"[""Use encrypted UWB with LIDAR SLAM and authenticated commands"", ""Rely on unencrypted Wi-Fi with camera-only localization"", ""Switch to manual RC with GNSS when LIDAR degrades"", ""Use open telemetry with inertial drift correction every 30s"", ""Navigate via unverified visual markers on warehouse walls"", ""Transmit control signals over unauthenticated Bluetooth"", ""Depend on continuous RGB optical flow without sensor fusion""]","Encrypted UWB resists jamming and spoofing, while LIDAR SLAM provides GNSS-denied localization integrity. Sensor fusion with authenticated commands ensures control stability and mitigates cyber-physical attacks. This maintains data confidentiality, prevents command injection, and sustains navigation accuracy despite interference." 2025-11-01T18:05:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Warehouse_Indoor_Swarm_Inspection_under_Dusty_Conditions_44c898789ef9_mcq.json,uavbench-mcq-v1,Warehouse_Indoor_Swarm_Inspection_under_Dusty_Conditions,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Which path adjustment maintains 2m separation, avoids the 5m NFZ, and completes inspection within 10 minutes despite 4.5 m/s wind?","This mission involves a swarm of four UAVs conducting an indoor inspection inside a warehouse near an airport perimeter. The drones operate within a confined airspace bounded by a polygonal geofence, with altitudes restricted between 1 and 15 meters AGL. Poor visibility due to dust and constant wind at 4.5 m/s with gusts up to 2.5 m/s challenge flight stability and sensor performance. Each UAV is an 8-rotor battery-powered swarm drone equipped with LiDAR, RGB camera, IMU, magnetometer, and barometer, but lacks GNSS, relying on relative navigation. A cylindrical no-fly zone with a 5-meter radius is centered in the area, requiring careful path planning. The swarm must maintain a minimum 2-meter separation between drones while avoiding a moving spherical obstacle drifting at 0.5 m/s. The mission follows a corridor inspection pattern with a 10-minute time budget and predefined waypoints, starting from a designated spawn point. Communication links are stable with good uplink and downlink quality, supporting coordinated swarm behavior. Battery endurance is critical, with a reserve of 30% required and energy consumption influenced by drag and maneuvering during the inspection.","Direct routes between waypoints, ignoring wind drift",Increase altitude to 14m AGL for smoother airflow,Fly clockwise around NFZ keeping 6m distance,Reduce speed to 1.0 m/s near moving obstacle,Cut inside NFZ by 1m to shorten path,Cluster drones within 1.5m for tighter formation,Skip last waypoint to conserve battery,"[""Direct routes between waypoints, ignoring wind drift"", ""Increase altitude to 14m AGL for smoother airflow"", ""Fly clockwise around NFZ keeping 6m distance"", ""Reduce speed to 1.0 m/s near moving obstacle"", ""Cut inside NFZ by 1m to shorten path"", ""Cluster drones within 1.5m for tighter formation"", ""Skip last waypoint to conserve battery""]","Flying 6m around the NFZ ensures safe clearance beyond its 5m radius while accommodating sensor uncertainty. Maintaining formation spacing and wind-compensated trajectories enables timely waypoint coverage within the 10-minute budget. This route balances obstacle avoidance, separation, and energy use without violating constraints." 2025-11-01T18:05:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Warehouse_Indoor_VTOL_Inspection_ff9a935acfb4_mcq.json,uavbench-mcq-v1,Warehouse_Indoor_VTOL_Inspection,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"During transition from hover to forward flight at 2 m/s crosswind, what minimizes power while maintaining control within 15m ceiling and avoiding stall?","This is an indoor VTOL inspection mission within a warehouse environment. The UAV operates in a confined 50m x 40m industrial airspace with a ceiling height of 15m AGL. Weather conditions are mild with light wind at 2 m/s and good visibility. The vehicle is a tiltrotor VTOL UAV equipped with RGB camera and LiDAR payload for visual inspection tasks. A cylindrical no-fly zone is located in the center of the space, restricting access around critical infrastructure. The UAV must maintain separation from a moving overhead obstacle and another UAV traffic agent. GNSS signals may experience multipath due to metallic structures, though onboard sensors include IMU and barometer for aiding navigation. The mission requires runway-assisted transitions between hover and forward flight, within a strict 10-minute time budget. Battery endurance is limited, requiring efficient routing to ensure return to the designated landing site. Mission success depends on avoiding geofence breaches, maintaining safe separation, and completing the inspection loop.",Maximize rotor tilt early to reduce induced drag,Delay tilt until airspeed reaches 8 m/s for lift buildup,Reduce collective pitch to decrease thrust and save power,Tilt rotors gradually while increasing forward airspeed,Maintain vertical thrust until clearing the no-fly zone,Accelerate laterally into crosswind before tilting rotors,Perform rapid tilt to 60° to exploit propwash over wings,"[""Maximize rotor tilt early to reduce induced drag"", ""Delay tilt until airspeed reaches 8 m/s for lift buildup"", ""Reduce collective pitch to decrease thrust and save power"", ""Tilt rotors gradually while increasing forward airspeed"", ""Maintain vertical thrust until clearing the no-fly zone"", ""Accelerate laterally into crosswind before tilting rotors"", ""Perform rapid tilt to 60° to exploit propwash over wings""]","Gradual rotor tilt balances lift generation between rotors and wings, reducing induced drag as forward speed increases. This optimizes power use and prevents stall by ensuring smooth transition through low-Reynolds flight regime. Other options either delay lift transfer (increasing power) or create instability by misaligning thrust vector with flight path." 2025-11-01T18:05:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Warehouse_Indoor_VTOL_GPS_Spoofing_Scenario_bbad4b0fd5f2_mcq.json,uavbench-mcq-v1,Warehouse_Indoor_VTOL_GPS_Spoofing_Scenario,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"During GNSS spoofing from 120–165s, with 30% battery reserve and dynamic obstacles, what ensures stable low-altitude navigation at 1.5 m/s?","This is an indoor warehouse inspection mission using a VTOL tiltrotor UAV equipped with RGB camera, LiDAR, and standard navigation sensors. The flight occurs entirely indoors with no external weather effects, though a light internal airflow is present. The UAV must navigate a rectangular 25x20 meter space with a maximum altitude of 8 meters and a minimum safe height of 0.5 meters. A static no-fly zone blocks the central area, and a second cylindrical no-fly zone moves dynamically across the space. Additionally, a spherical obstacle drifts leftward, requiring real-time avoidance. The mission involves completing a grid-pattern waypoint route within 10 minutes while avoiding collisions and maintaining separation. GNSS signals are degraded due to indoor conditions and active spoofing between 120–165 seconds, challenging navigation. Communication suffers a downlink failure during the spoofing event, limiting telemetry transmission. The UAV operates on battery power with a 30% reserve requirement, starting with 850 Wh. Key constraints include GNSS spoofing, sensor-based navigation reliance, dynamic obstacles, and strict geofencing.",Rely solely on degraded GNSS during spoofing,Increase rotor tilt beyond 75° reducing lift,Use LiDAR with optical flow for position hold,Descend to 0.3 m increasing ground effect drag,Maintain 8 m altitude ignoring grid coverage,Disable collision avoidance to save power,Bank sharply at 45° in tight turns,"[""Rely solely on degraded GNSS during spoofing"", ""Increase rotor tilt beyond 75° reducing lift"", ""Use LiDAR with optical flow for position hold"", ""Descend to 0.3 m increasing ground effect drag"", ""Maintain 8 m altitude ignoring grid coverage"", ""Disable collision avoidance to save power"", ""Bank sharply at 45° in tight turns""]","LiDAR and optical flow compensate for GNSS spoofing by providing relative positioning and velocity data. At low speed and altitude, these sensors enable precise control without relying on compromised signals. This maintains lift-thrust equilibrium while avoiding obstacles and minimizing drift-induced errors." 2025-11-01T18:05:30Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Warehouse_Indoor_Pipeline_Inspection_with_VTOL_Tiltrotor_d0147d18feb5_mcq.json,uavbench-mcq-v1,Warehouse_Indoor_Pipeline_Inspection_with_VTOL_Tiltrotor,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"At 3.8 m/s gusts and 2.5m separation, which maneuver minimizes risk while maintaining 8.0m AGL in tight corridor?","This is an indoor pipeline inspection mission using a VTOL tiltrotor UAV inside a confined warehouse space. The UAV operates within a 20m x 25m polygonal airspace with altitude limits between 0.5m and 8.0m AGL. Weather includes light winds at 2.5 m/s with gusts up to 3.8 m/s, though indoor effects may dampen wind impact. The UAV is equipped with LIDAR, RGB camera, IMU, magnetometer, and barometer, but lacks GNSS, relying on alternative navigation. A static no-fly zone (cylinder, 2.0m radius) and a moving obstacle (drifting cylinder) restrict flight paths. An additional dynamic no-fly zone drifts slowly across the environment at 0.58 m/s, increasing avoidance complexity. The UAV must follow a corridor-style waypoint route while avoiding collisions and maintaining 2.5m separation from traffic. Battery capacity is 320 Wh, with a 30% reserve required, limiting available energy for the 16-second simulation. Communication experiences two brief downlink loss windows, potentially affecting telemetry and control. The mission emphasizes obstacle avoidance, precise control in tight spaces, and successful waypoint completion within time and safety constraints.",Increase pitch to 12° for rapid climb,Reduce airspeed to 1.5 m/s to enhance control,Bank 35° while reducing rotor tilt to 70°,Maintain 4.0 m/s with 5° nose-up attitude,Hover at 0.5m AGL to wait out gusts,Accelerate to 6.0 m/s with 0° tilt for stability,Descend to 0.6m AGL with 3° angle of attack,"[""Increase pitch to 12° for rapid climb"", ""Reduce airspeed to 1.5 m/s to enhance control"", ""Bank 35° while reducing rotor tilt to 70°"", ""Maintain 4.0 m/s with 5° nose-up attitude"", ""Hover at 0.5m AGL to wait out gusts"", ""Accelerate to 6.0 m/s with 0° tilt for stability"", ""Descend to 0.6m AGL with 3° angle of attack""]","Maintaining 4.0 m/s balances Reynolds number effects and control authority, ensuring adequate lift generation without exceeding stall AoA under gust disturbances. A 5° nose-up attitude counters downdraft tendencies from wind shear while preserving ground clearance and minimizing induced drag. Other options either reduce airspeed below control threshold or create unstable thrust vectoring, violating lift/drag equilibrium." 2025-11-01T18:05:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Warehouse_Inspection_in_Cold_Weather_6fd76dfeac04_mcq.json,uavbench-mcq-v1,Warehouse_Inspection_in_Cold_Weather,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"At 300s, icing reduces efficiency for 60s; UAV has 30% battery reserve and 0.5 kg payload. Optimize for continued inspection.","This is a warehouse inspection mission conducted near an airport perimeter. The UAV operates within a 50-meter altitude limit and must avoid a cylindrical no-fly zone centered at (50, 40). Weather includes moderate wind from the west and icing conditions that temporarily affect performance. A quadrotor UAV equipped with GNSS, IMU, lidar, and RGB camera carries a 0.5 kg payload. The flight area is bounded by a polygon geofence with a predefined corridor pattern over the warehouse. GNSS signals are degraded due to multipath effects, requiring careful navigation near structures. A distant runway is present, but no runway access is required for this mission. The UAV must maintain separation from moving obstacles and potential traffic approaching from outside. Battery reserves are set at 30%, and a temporary comms loss window occurs during the flight. An icing event at 300 seconds reduces efficiency, simulating aerodynamic degradation for one minute.",Increase speed to finish faster,Climb to 50m for better GNSS,Reduce camera resolution and slow down,Jettison payload to save power,Hover until icing event ends,Switch to lidar-only navigation,Transmit all data at maximum bandwidth,"[""Increase speed to finish faster"", ""Climb to 50m for better GNSS"", ""Reduce camera resolution and slow down"", ""Jettison payload to save power"", ""Hover until icing event ends"", ""Switch to lidar-only navigation"", ""Transmit all data at maximum bandwidth""]","Reducing camera resolution lowers power draw while slowing down conserves energy during aerodynamic degradation. This balances mission continuity and battery constraints. Other options waste energy, compromise safety, or exceed resource limits." 2025-11-01T18:05:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Warehouse_Indoor_VTOL_Tiltrotor_Runway_Incursion_with_DAA_2a42c091f328_mcq.json,uavbench-mcq-v1,Warehouse_Indoor_VTOL_Tiltrotor_Runway_Incursion_with_DAA,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 4.2 m/s gusts and 5 m/s airspeed, what adjustment maintains lift while avoiding dynamic NFZ at (15,20) moving 1.3 m/s?","Indoor inspection mission using a VTOL tiltrotor UAV inside a warehouse environment. The UAV operates within a confined 50x30 meter indoor airspace, bounded vertically from 0.5 to 15 meters AGL. Light wind at 3.5 m/s with gusts up to 4.2 m/s is present despite the indoor setting, simulating ventilation effects. The UAV is equipped with GNSS, IMU, lidar, and RGB camera, relying on battery power with a 650 Wh capacity. A static no-fly zone is centered at (25,10) with a 3-meter radius, and a dynamic no-fly zone moves near (15,20) at 1.3 m/s. The mission requires use of a designated runway for approach and departure, aligned at 90 degrees heading. Waypoints are arranged in a corridor pattern along the centerline at varying altitudes between 3 and 5 meters. A second UAV and a moving spherical obstacle travel through the space, requiring real-time detect-and-avoid (DAA). DAA system enforces a 5-meter separation and 8-second time-to-closest-approach threshold. Key constraints include NFZ compliance, runway incursion avoidance, GNSS multipath risks, and limited battery endurance.",Increase angle of attack by 3° to boost lift coefficient,Reduce airspeed to 3 m/s to minimize drag in gust,Bank 30° toward corridor centerline for tighter turn,Descend to 2.5 m AGL to escape wind shear effects,Pitch down 5° to reduce induced drag and climb rate,Yaw left 10° to align with relative wind vector,Apply differential thrust to hover and reassess path,"[""Increase angle of attack by 3° to boost lift coefficient"", ""Reduce airspeed to 3 m/s to minimize drag in gust"", ""Bank 30° toward corridor centerline for tighter turn"", ""Descend to 2.5 m AGL to escape wind shear effects"", ""Pitch down 5° to reduce induced drag and climb rate"", ""Yaw left 10° to align with relative wind vector"", ""Apply differential thrust to hover and reassess path""]","Increasing angle of attack compensates for gust-induced vertical disturbances by enhancing lift coefficient without increasing power. At low altitude and near stall margins, this balances lift and weight while enabling lateral avoidance. Other options either reduce airspeed below control threshold or induce flow separation, violating aerodynamic stability." 2025-11-01T18:05:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Warehouse_Pipeline_Inspection_with_Swarm_Drones_90c45a0b0cfa_mcq.json,uavbench-mcq-v1,Warehouse_Pipeline_Inspection_with_Swarm_Drones,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,A drone must inspect a 4m-high pipeline section near the no-fly cylinder with 8m ceiling clearance and dust reducing visibility by 30%.,"This is an indoor warehouse pipeline inspection mission using a swarm of four drones. The operation takes place inside a confined 15x20 meter warehouse space with low ceiling clearance between 0.5 and 8 meters AGL. Weather conditions include light wind from the southeast and poor visibility due to dust, which may affect sensor performance. Each drone is a multirotor with a 2.5 kg base mass, carrying a 0.4 kg payload equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The swarm consists of specialized roles: leader, follower, scout, and relay, maintaining a minimum 2-meter separation. A central no-fly cylinder blocks part of the space, and a moving spherical obstacle drifts slowly along the pipeline route. The drones must complete a corridor inspection pattern within 10 minutes while avoiding collisions and geofence breaches. GNSS signals may suffer from multipath interference indoors, making sensor fusion critical. The primary challenges include tight navigation in cluttered space, swarm coordination, and maintaining communication. Mission success depends on completing all waypoints without collisions, DAA breaches, or battery depletion.",Ascend to 7.5m AGL for clearer sensor view,Descend to 3m AGL and slow to 1.5 m/s,Maintain 5m AGL and standard speed of 3 m/s,Divert around no-fly zone at 0.6m AGL,Climb to 8m AGL and hover for LiDAR sweep,Reduce separation to 1m to tighten swarm,"Proceed at 4m AGL, reduce speed to 2 m/s","[""Ascend to 7.5m AGL for clearer sensor view"", ""Descend to 3m AGL and slow to 1.5 m/s"", ""Maintain 5m AGL and standard speed of 3 m/s"", ""Divert around no-fly zone at 0.6m AGL"", ""Climb to 8m AGL and hover for LiDAR sweep"", ""Reduce separation to 1m to tighten swarm"", ""Proceed at 4m AGL, reduce speed to 2 m/s""]","Operating at 4m AGL minimizes vertical risk while staying clear of floor obstacles and below ceiling limits. Reducing speed to 2 m/s enhances sensor accuracy in dust without exceeding the 10-minute window. This balances clearance, collision avoidance, and mission timing under sensor degradation." 2025-11-01T18:05:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Wind_Farm_Recon_with_Amphibious_UAV_b37688a639f5_mcq.json,uavbench-mcq-v1,Wind_Farm_Recon_with_Amphibious_UAV,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"At 250 s, icing fault triggers; wind 8 m/s from 240°, battery at 45%. What action balances safety, energy, and mission completion?","This is a survey mission conducted by an amphibious fixed-wing UAV in a wind farm environment. The UAV operates within a defined airspace between 20 and 120 meters AGL, bounded by a polygonal geofence and including a static no-fly zone around a turbine at (300,300). The vehicle is equipped with radar, RGB and thermal cameras, and relies on GNSS/IMU navigation despite significant GNSS multipath and electromagnetic interference. Weather conditions include moderate wind at 8 m/s from 240°, gusts up to 4 m/s, rain, and icing risk that triggers a simulated icing fault at 250 seconds. A dynamic no-fly zone moves through the area, and a drifting traffic UAV crosses the path at low altitude. Thermal updrafts near (320,410) may affect flight dynamics, while wind shear increases with altitude. The UAV must follow a grid survey pattern over five waypoints, requiring transition between VTOL and forward flight modes. It must avoid collisions with a moving spherical obstacle and maintain separation from other traffic, with DAA thresholds set at 25 meters and 20 seconds TTC. Communication dropouts are expected between 180–190 and 420–435 seconds, and the mission emphasizes safe runway-aligned landing at the start point. Battery capacity is limited to 1200 Wh with a 30% reserve, and poor visibility adds operational risk.",Climb to 120 m to avoid turbulence and updrafts,Descend to 25 m AGL to reduce wind shear and save power,Maintain current altitude and speed to preserve survey accuracy,"Turn toward thermal updraft at (320,410) to gain lift","Abort survey, return at 60 m AGL, glide approach to landing",Increase speed to 22 m/s to exit dynamic no-fly zone quickly,Enter hover mode to assess sensor data before proceeding,"[""Climb to 120 m to avoid turbulence and updrafts"", ""Descend to 25 m AGL to reduce wind shear and save power"", ""Maintain current altitude and speed to preserve survey accuracy"", ""Turn toward thermal updraft at (320,410) to gain lift"", ""Abort survey, return at 60 m AGL, glide approach to landing"", ""Increase speed to 22 m/s to exit dynamic no-fly zone quickly"", ""Enter hover mode to assess sensor data before proceeding""]","Returning at 60 m balances wind shear, energy reserve, and glide safety during communication dropout risk. It avoids updrafts and icing effects while ensuring 30% battery reserve for landing. This maintains separation from traffic and complies with geofence and DAA thresholds." 2025-11-01T18:05:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Wind_Farm_Recon_with_Quadrotor_in_Hot_Conditions_c48541a22b39_mcq.json,uavbench-mcq-v1,Wind_Farm_Recon_with_Quadrotor_in_Hot_Conditions,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 505 seconds, comms drop while 80m AGL near turbine (100,150); gusts reach 12 m/s. What action minimizes risk?","This is a quadrotor UAV mission for area reconnaissance around a wind farm. The flight occurs in controlled airspace with a minimum altitude of 20 meters and a maximum of 120 meters AGL. Weather conditions include a steady 8 m/s wind from 240 degrees with gusts up to 4 m/s, but visibility is good. The UAV is equipped with RGB and thermal cameras for data collection and relies on GNSS, IMU, barometer, and magnetometer for navigation. A static no-fly zone is present near a turbine at (100,150) with a 20-meter radius, and a moving no-fly zone drifts slowly through the area. Air traffic includes another UAV entering from the south boundary, requiring separation of at least 25 meters. The mission must be completed within 600 seconds and follows a grid pattern over the designated zone. Battery capacity is limited, and a 30% reserve is required for safe return. Communication experiences brief downlink losses between 120–130 and 500–515 seconds into the mission. The UAV must avoid geofence breaches, maintain safe separation, and land at the preferred site unless an emergency arises.",Descend to 20m AGL and continue grid,Climb to 120m AGL for clearer signal,Hold position at 80m until comms restore,"Divert around static NFZ, descend to 30m",Proceed directly to preferred landing site,Eject battery and auto-land on site,Turn east to reduce wind exposure at 80m,"[""Descend to 20m AGL and continue grid"", ""Climb to 120m AGL for clearer signal"", ""Hold position at 80m until comms restore"", ""Divert around static NFZ, descend to 30m"", ""Proceed directly to preferred landing site"", ""Eject battery and auto-land on site"", ""Turn east to reduce wind exposure at 80m""]","Comms loss at 500–515s requires autonomous execution; continuing the grid risks NFZ breach or separation loss. Diverting around the static NFZ at 30m AGL maintains terrain clearance, avoids turbine proximity, and conserves energy for return. Other options violate altitude, proximity, or endurance constraints under wind and autonomy demands." 2025-11-01T18:05:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Wind_Turbine_Blade_Inspection_in_Dense_Urban_Area_with_Gusts_b69b45214e84_mcq.json,uavbench-mcq-v1,Wind_Turbine_Blade_Inspection_in_Dense_Urban_Area_with_Gusts,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,Plan a route avoiding the static 30m NFZ and dynamic 15m obstacle moving between 10m–50m with 8.5 m/s wind.,"This is an inspection mission using a heavy-lift octocopter equipped with RGB and thermal cameras, as well as LiDAR, in a dense urban environment. The UAV operates within a 300m x 300m polygonal geofenced area, with a flight altitude between 5m and 120m AGL. Weather conditions include a steady 8.5 m/s wind from 240 degrees with 4.5 m/s gusts, posing challenges for stability and energy consumption. The UAV carries a 5.2 kg payload and relies on battery power with a 12,500 Wh capacity, requiring careful energy management due to high hover power and wind-induced drag. A static no-fly zone (cylinder, 30m radius, up to 60m) is located at the center, and a dynamic no-fly zone moves diagonally across the area with a 15m radius between 10m and 50m altitude. Air traffic includes a single intruder UAV flying at 12 m/s on a fixed heading, and a moving spherical obstacle drifts through the environment. GNSS signals may suffer from multipath effects due to surrounding structures, complicating positioning accuracy. The mission follows a corridor inspection pattern with four waypoints, must complete within 600 seconds, and requires maintaining at least 25m separation with a time-to-closest approach of no less than 15 seconds. Emergency landing zones are available at two corners, with a preferred site in the southeast. Success is measured by completing the mission without collisions, geofence breaches, or violating separation and altitude constraints.",Fly at 120m AGL to minimize wind impact and maintain VLOS.,Descend to 45m and proceed directly through the dynamic NFZ.,"Fly at 60m AGL, eastward, maintaining 25m separation from obstacles.",Hover at 5m AGL until the dynamic NFZ passes the corridor.,Reduce speed to 3 m/s inside the geofence to improve GNSS lock.,Climb to 125m AGL for better sensor coverage beyond geofence limit.,"Fly west at 55m AGL, rerouting south to avoid both NFZs and intruder.","[""Fly at 120m AGL to minimize wind impact and maintain VLOS."", ""Descend to 45m and proceed directly through the dynamic NFZ."", ""Fly at 60m AGL, eastward, maintaining 25m separation from obstacles."", ""Hover at 5m AGL until the dynamic NFZ passes the corridor."", ""Reduce speed to 3 m/s inside the geofence to improve GNSS lock."", ""Climb to 125m AGL for better sensor coverage beyond geofence limit."", ""Fly west at 55m AGL, rerouting south to avoid both NFZs and intruder.""]","The correct option avoids both NFZs, maintains 25m separation, and operates above the dynamic obstacle band while staying within the 120m AGL limit. It balances wind resistance and energy use by choosing a moderate altitude and a proactive lateral detour. Other choices violate altitude, NFZ, separation, or endurance constraints under mission conditions." 2025-11-01T18:05:31Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Wind_Turbine_Blade_Inspection_at_Industrial_Plant_cda660fba497_mcq.json,uavbench-mcq-v1,Wind_Turbine_Blade_Inspection_at_Industrial_Plant,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 100 m AGL, 18 m/s winds and 240°–260° shifts challenge tiltrotor transition. What minimizes risk during hover-to-forward transition?","This mission involves a VTOL tiltrotor UAV conducting a wind turbine blade inspection at an industrial plant. The operation takes place within a confined polygonal airspace of 200×150 meters, with altitude limits between 5 and 120 meters AGL. Strong winds of 12 m/s increase with altitude, reaching 18 m/s at 100 meters, and wind direction shifts from 240° to 260°, creating challenging flight conditions. The UAV carries an RGB and thermal camera payload for visual inspection, with LiDAR support for navigation. A cylindrical no-fly zone of 20-meter radius is enforced around a critical structure at the center of the site. The UAV must maintain separation from a moving obstacle simulating a swinging crane load and avoid conflict with another UAV entering the airspace. GNSS signals are degraded due to multipath effects and electromagnetic interference, and a temporary icing event reduces aerodynamic efficiency during flight. The mission requires a runway-assisted takeoff and landing aligned with heading 240°, with transition phases between hover and forward flight. Battery reserves are set to 30%, and flight time is constrained to 10 minutes. The UAV must complete its inspection corridor within the time budget while managing energy use, icing effects, and navigation reliability.",Increase rotor pitch rapidly to gain lift,Delay transition until wind stabilizes,Tilt rotors gradually while increasing airspeed,Reduce payload to decrease induced drag,Bank sharply into the 260° wind vector,Ascend immediately to reduce ground effect,Maintain hover with maximum thrust vector down,"[""Increase rotor pitch rapidly to gain lift"", ""Delay transition until wind stabilizes"", ""Tilt rotors gradually while increasing airspeed"", ""Reduce payload to decrease induced drag"", ""Bank sharply into the 260° wind vector"", ""Ascend immediately to reduce ground effect"", ""Maintain hover with maximum thrust vector down""]","Gradual rotor tilt balances thrust vector between lift and forward thrust, ensuring controlled transition without exceeding stall angle. Increasing airspeed enhances aerodynamic control as wind shear and turbulence rise. This method optimizes lift-to-drag ratio while maintaining stability in degraded GNSS and high wind." 2025-11-01T18:05:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Volcanic_Zone_Glider_Reconnaissance_a677556d6b29_mcq.json,uavbench-mcq-v1,Volcanic_Zone_Glider_Reconnaissance,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,How should the UAV optimize energy using thermals while managing camera use and avoiding obstacles within 600 seconds and 30% battery reserve?,"This is a search and rescue mission conducted by a fixed-wing glider UAV in a volcanic zone. The flight occurs within a defined polygonal airspace bounded between 50 and 600 meters AGL. Weather includes strong wind increasing with altitude, gusts, and thermal updrafts at specific locations that can aid glider lift. The UAV carries RGB and thermal cameras for payload, relying on battery power with a 30% reserve requirement. GNSS signals experience multipath and moderate jamming, while electromagnetic interference poses navigation challenges. A static no-fly zone and a moving no-fly cylinder must be avoided, along with a dynamic obstacle and another UAV on a crossing path. The mission follows a corridor pattern through five waypoints within a 600-second time limit. Communication links experience two brief loss windows, requiring resilient data transmission. Separation monitoring is active with a 50-meter threshold to trigger alerts. The glider must manage energy efficiently using thermals while avoiding collisions and maintaining flight safety.",Fly direct paths ignoring thermals to save time,Circle in strongest thermal until communication restores,"Disable RGB, use thermal intermittently, and glide through updrafts",Increase speed to minimize exposure to gusts,Ascend to 600 m for better GNSS signal and wind advantage,Transmit full camera data continuously during link windows,Follow exact corridor with cameras always on,"[""Fly direct paths ignoring thermals to save time"", ""Circle in strongest thermal until communication restores"", ""Disable RGB, use thermal intermittently, and glide through updrafts"", ""Increase speed to minimize exposure to gusts"", ""Ascend to 600 m for better GNSS signal and wind advantage"", ""Transmit full camera data continuously during link windows"", ""Follow exact corridor with cameras always on""]","Disabling RGB and using thermal intermittently reduces power draw, preserving battery for critical phases. Gliding through updrafts extends endurance without propulsion, enabling mission completion within energy and time limits while maintaining safety and communication resilience." 2025-11-01T18:05:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Wind_Turbine_Blade_Inspection_in_Dense_Urban_Fog_2237db122a6a_mcq.json,uavbench-mcq-v1,Wind_Turbine_Blade_Inspection_in_Dense_Urban_Fog,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 120s, GNSS jamming hits -85 dBm and icing reduces lift; which action maintains swarm integrity and navigation accuracy?","This scenario involves a swarm UAV inspection mission in a dense urban environment. The mission focuses on inspecting wind turbine blades amid poor visibility due to fog and potential icing conditions. Weather includes moderate winds at 6 m/s from 240 degrees, increasing with altitude, and gusts up to 3.5 m/s. The UAV is an octocopter swarm drone with RGB camera payload, designed for stable flight and equipped with GNSS, IMU, lidar, and other sensors. Flight occurs between 10 and 120 meters AGL within a polygonal geofenced area. A static no-fly zone surrounds the central turbine, and a dynamic no-fly zone moves slowly through the airspace. GNSS signals are degraded by multipath effects and electromagnetic interference, with moderate jamming at -85 dBm. The swarm consists of four drones with defined roles: leader, follower, scout, and relay, maintaining at least 5 meters separation. A simulated icing event reduces performance for one minute starting at 120 seconds into the mission. Additional challenges include limited comms windows, moving obstacles, and thermal updrafts affecting stability.",Switch to lidar-aided INS with encrypted inter-drone ranging,Increase GNSS reliance to counteract sensor freeze,Broadcast unencrypted position updates every 200ms,Disable IMU filtering to reduce control latency,Follow leader's GPS despite spoofing indicators,Use open Wi-Fi for relay drone data offload,Halt all drones until GNSS signal clears jamming,"[""Switch to lidar-aided INS with encrypted inter-drone ranging"", ""Increase GNSS reliance to counteract sensor freeze"", ""Broadcast unencrypted position updates every 200ms"", ""Disable IMU filtering to reduce control latency"", ""Follow leader's GPS despite spoofing indicators"", ""Use open Wi-Fi for relay drone data offload"", ""Halt all drones until GNSS signal clears jamming""]","A ensures resilience by fusing lidar and inertial navigation during GNSS jamming and icing, preserving control stability. Encrypted ranging maintains data integrity and prevents spoofing in degraded environments. Other options expose the swarm to spoofing, denial of service, or loss of coordination." 2025-11-01T18:05:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Volcanic_Zone_Firefighting_Drop_15f2ff62ee57_mcq.json,uavbench-mcq-v1,Volcanic_Zone_Firefighting_Drop,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 80 m AGL, 15 m/s winds increase drag; battery at 40%. Should the UAV adjust airspeed for optimal lift-to-drag ratio?","This is a firefighting drop mission using a battery-powered quadrotor UAV equipped with RGB and thermal cameras, operating in a hazardous volcanic zone. The airspace is confined between 5 and 120 meters AGL, bounded by a polygonal geofence with two no-fly zones—one static and one moving. Strong winds increase with altitude, reaching 15 m/s at 100 m, with gusts, poor visibility, and risks of microbursts and ash clouds. GNSS signals suffer from multipath, interference, and a scheduled 45-second jamming event, while downlink communications are intermittently lost. The UAV must navigate around thermal updrafts, a moving spherical obstacle, and an opposing traffic UAV while following a corridor pattern. The mission requires precise drops at four waypoints within a 600-second time limit, starting from a fixed spawn point. Battery reserve is set to 30%, and energy consumption is affected by drag and maneuvering in turbulent conditions. Separation standards require maintaining at least 25 meters distance or 15 seconds time-to-collision with other traffic. Key challenges include degraded navigation, dynamic obstacles, severe weather, and strict airspace constraints.",Climb to 100 m for smoother airflow and reduced drag,Descend to 30 m to minimize wind exposure and conserve battery,Increase airspeed to 18 m/s to overcome headwind and maintain groundspeed,Reduce airspeed to 8 m/s to lower induced drag and extend endurance,Maintain 12 m/s and pitch up 10° to increase lift in thin air,Accelerate to 20 m/s to escape microburst risk zone quickly,Hover at reduced throttle to wait for wind gusts to subside,"[""Climb to 100 m for smoother airflow and reduced drag"", ""Descend to 30 m to minimize wind exposure and conserve battery"", ""Increase airspeed to 18 m/s to overcome headwind and maintain groundspeed"", ""Reduce airspeed to 8 m/s to lower induced drag and extend endurance"", ""Maintain 12 m/s and pitch up 10° to increase lift in thin air"", ""Accelerate to 20 m/s to escape microburst risk zone quickly"", ""Hover at reduced throttle to wait for wind gusts to subside""]","Descending to 30 m reduces exposure to high wind speeds, lowering parasitic drag and energy use. Lower altitude increases air density, improving propeller efficiency and lift generation. This balances battery constraints and control stability in turbulent conditions." 2025-11-01T18:05:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Wind_Turbine_Blade_Inspection_in_Harbor_with_Low_Visibility_2d6a6e253339_mcq.json,uavbench-mcq-v1,Wind_Turbine_Blade_Inspection_in_Harbor_with_Low_Visibility,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"At 550 m AGL, 400 m visibility, and strong westerly winds, which navigation strategy maintains accuracy despite GNSS multipath and jamming?","This mission involves inspecting wind turbine blades in a harbor environment using a high-altitude pseudo-satellite UAV equipped with RGB and thermal cameras, LiDAR, and radar. The airspace is confined between 50 and 600 meters AGL, with a static no-fly zone over the harbor center and a moving restricted zone due to dynamic vessel traffic. Weather conditions include poor visibility, icing risks, and strong westerly winds increasing with altitude, posing stability and sensor challenges. The UAV must follow a corridor inspection pattern across four waypoints while avoiding conflicts with an opposing UAV and a drifting spherical obstacle. GNSS signals are degraded by multipath effects and moderate jamming, requiring robust navigation alternatives. The UAV relies solely on battery power, with significant energy demands due to wind resistance and anti-icing demands during a scheduled fault event. Flight operations require runway access for takeoff and landing, with a designated runway aligned east-west. Communication links experience brief dropouts, necessitating autonomous decision-making during critical phases. The mission must be completed within 600 seconds while maintaining safe separation and avoiding airspace violations. Icing conditions and electromagnetic interference further constrain sensor reliability and flight control performance.",Rely solely on GNSS with Kalman smoothing,Use IMU-LiDAR fusion with radar altimeter backup,Switch to thermal-RGB optical flow only,Descend to 40 m AGL to reduce wind effects,Follow heading using magnetometer guidance,Increase speed to minimize drift time,Trust last known GNSS fix with dead reckoning,"[""Rely solely on GNSS with Kalman smoothing"", ""Use IMU-LiDAR fusion with radar altimeter backup"", ""Switch to thermal-RGB optical flow only"", ""Descend to 40 m AGL to reduce wind effects"", ""Follow heading using magnetometer guidance"", ""Increase speed to minimize drift time"", ""Trust last known GNSS fix with dead reckoning""]","IMU-LiDAR fusion provides high-update-rate positioning resilient to GNSS degradation, while radar altimeter corrects for terrain and vertical drift. In low visibility and strong winds, LiDAR maintains spatial coherence where cameras fail, and radar resists multipath better than GNSS. This approach ensures navigation integrity without violating altitude or obstacle clearance constraints." 2025-11-01T18:05:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Wind_Turbine_Blade_Inspection_in_Forest_Airspace_with_Hail_befceba843c5_mcq.json,uavbench-mcq-v1,Wind_Turbine_Blade_Inspection_in_Forest_Airspace_with_Hail,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"At 400s, UAV faces icing, GNSS jamming at -90 dBm, and 14 m/s winds while orbiting five waypoints above 100m AGL.","This UAV mission involves inspecting wind turbine blades in a forested area using a high-altitude pseudo-satellite UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs in challenging weather including hail, poor visibility, and moderate winds up to 14 m/s increasing with altitude, along with dynamic gusts and electromagnetic interference. The UAV operates between 100 and 700 meters AGL within a defined polygonal airspace that includes a static no-fly zone around a central turbine and a moving no-fly zone drifting westward. A key constraint is GNSS signal degradation due to multipath effects in the forest and external jamming at -90 dBm, compounded by intermittent uplink/downlink communication losses. The UAV must follow an orbital inspection pattern around five waypoints while avoiding collisions with a moving obstacle and another UAV traveling westbound. Thermal updrafts near the center of the area offer potential lift, but icing conditions will occur during the mission, reducing performance for two minutes starting at 400 seconds. The UAV has a strict time budget of 900 seconds and must maintain at least 50 meters separation from traffic to avoid DAA breaches. Battery endurance is limited, with a reserve fraction of 30% and significant power draw during hover and maneuvering. It launches from a designated point and must return for landing unless an emergency site is required. Mission success depends on completing the inspection without geofence violations, maintaining minimum separation, and preserving sufficient battery and link quality throughout.",Descend to 90m to reduce wind exposure and conserve battery,"Continue orbit using LiDAR and IMU, maintaining 100m AGL",Abort mission and divert to emergency landing site immediately,Climb to 700m for clearer GNSS signal and thermal updrafts,Hover at current position until icing clears in two minutes,Shift orbit radius inward to complete waypoints faster,Rely solely on RGB camera to reduce sensor power draw,"[""Descend to 90m to reduce wind exposure and conserve battery"", ""Continue orbit using LiDAR and IMU, maintaining 100m AGL"", ""Abort mission and divert to emergency landing site immediately"", ""Climb to 700m for clearer GNSS signal and thermal updrafts"", ""Hover at current position until icing clears in two minutes"", ""Shift orbit radius inward to complete waypoints faster"", ""Rely solely on RGB camera to reduce sensor power draw""]","B maintains minimum safe altitude, uses non-GNSS sensors during jamming, and continues mission-critical coverage. It avoids DAA breaches and respects geofence while preserving battery. Other options violate altitude bounds, increase risk, or degrade situational awareness during coordination-critical phases." 2025-11-01T18:05:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Wind_Turbine_Blade_Inspection_in_Harbor_with_Strong_Crosswind_7eafe932d70c_mcq.json,uavbench-mcq-v1,Wind_Turbine_Blade_Inspection_in_Harbor_with_Strong_Crosswind,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Hexacopter must inspect 5 waypoints in 600s with 8.5 m/s winds, 30% battery reserve, and avoid dynamic obstacles.","This scenario involves a wind turbine blade inspection mission in a harbor environment using a hexacopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The UAV operates within a defined airspace polygon bounded between 5 and 80 meters AGL, with a cylindrical no-fly zone around a critical structure. Strong crosswinds of 8.5 m/s from 240 degrees, including gusts up to 4.2 m/s, challenge flight stability and energy consumption. The mission follows a corridor inspection pattern with five waypoints, requiring close proximity flying near infrastructure, increasing GNSS multipath and collision risks. A moving spherical obstacle drifts through the inspection area, simulating dynamic hazards such as maintenance equipment or debris. Another UAV enters the airspace from outside, traveling at 12 m/s on a collision course, necessitating detect-and-avoid logic with a 10-meter separation threshold and 5-second time-to-closest-approach threshold. Communication experiences two brief downlink loss windows, testing autonomy resilience. Battery endurance is critical, with a 30% reserve required and high power draw due to wind and maneuvering drag. The UAV must complete the inspection within 600 seconds while avoiding geofence violations, maintaining safe separation, and landing at the preferred site unless an emergency arises.","Fly full speed, prioritize thermal imaging, accept higher power draw","Reduce LiDAR frequency, throttle down in gusts, shorten path via waypoints","Circle moving obstacle until comms restore, delay inspection segment","Ascend to 80m AGL for clearer GNSS, use max camera resolution",Match speed with intruder UAV to minimize collision risk,"Hover at each waypoint, capture all payloads at highest fidelity","Descend below 5m AGL to escape winds, reroute under no-fly zone","[""Fly full speed, prioritize thermal imaging, accept higher power draw"", ""Reduce LiDAR frequency, throttle down in gusts, shorten path via waypoints"", ""Circle moving obstacle until comms restore, delay inspection segment"", ""Ascend to 80m AGL for clearer GNSS, use max camera resolution"", ""Match speed with intruder UAV to minimize collision risk"", ""Hover at each waypoint, capture all payloads at highest fidelity"", ""Descend below 5m AGL to escape winds, reroute under no-fly zone""]","Reducing LiDAR frequency and throttling in gusts conserves energy, while path optimization maintains mission completion within 600s. This balances sensor utility and power constraints, preserving 30% battery and avoiding geofence violations. Other choices increase drag, extend time, or breach airspace limits, risking reserve depletion." 2025-11-01T18:05:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Wind_Turbine_Blade_Inspection_in_Hot_Industrial_Plant_69e82e38043a_mcq.json,uavbench-mcq-v1,Wind_Turbine_Blade_Inspection_in_Hot_Industrial_Plant,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"Given GNSS multipath and a 10m-radius NFZ at (50,40), which action ensures secure, stable flight below 30m near critical infrastructure?","This scenario involves a quadrotor UAV conducting a wind turbine blade inspection within an industrial plant. The mission takes place in a confined airspace bounded by a polygonal geofence with a floor at 2 meters and a ceiling at 50 meters AGL. Weather conditions include a 6 m/s wind from 240 degrees with gusts up to 3.5 m/s, though visibility is good. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, carrying a 0.3 kg payload. A cylindrical no-fly zone centered at (50, 40) with a 10-meter radius and ceiling at 30 meters restricts flight paths near critical infrastructure. The UAV must maintain separation from this NFZ while executing a corridor-style inspection pattern along turbine blades. Flight time is constrained by a 600-second mission budget and a battery capacity of 180 Wh, with 30% reserved for safety. GNSS signals may experience multipath interference due to surrounding industrial structures. The UAV spawns at (10, 10, 5) and is expected to return to the nearby preferred landing site. Success depends on completing the waypoints without breaching constraints while preserving battery and communication links.",Use encrypted RTK-GNSS with LIDAR-aided SLAM for position validation,Rely solely on unencrypted GNSS with standard Kalman filtering,Disable encryption to reduce latency in command uplink,Fly manual override mode using open Wi-Fi video feed,Trust all sensor inputs equally without spoofing detection,Transmit telemetry via unauthenticated Bluetooth link,Descend to 1m AGL to avoid NFZ airspace entirely,"[""Use encrypted RTK-GNSS with LIDAR-aided SLAM for position validation"", ""Rely solely on unencrypted GNSS with standard Kalman filtering"", ""Disable encryption to reduce latency in command uplink"", ""Fly manual override mode using open Wi-Fi video feed"", ""Trust all sensor inputs equally without spoofing detection"", ""Transmit telemetry via unauthenticated Bluetooth link"", ""Descend to 1m AGL to avoid NFZ airspace entirely""]","Encrypted RTK-GNSS resists spoofing while LIDAR-aided SLAM provides position integrity during multipath. This fusion ensures control stability and geofence compliance. Other options expose communication, sensor, or control vulnerabilities." 2025-11-01T18:05:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Wind_Turbine_Blade_Inspection_in_Mountainous_Terrain_with_Convertiplane_64b1732f2102_mcq.json,uavbench-mcq-v1,Wind_Turbine_Blade_Inspection_in_Mountainous_Terrain_with_Convertiplane,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During a 40% performance loss from icing at 180s, with GNSS degraded and comms dropout at 120s, which action ensures control and data integrity?","This mission involves a convertiplane UAV conducting a wind turbine blade inspection in mountainous terrain. The UAV operates within a defined airspace polygon between 10 and 250 meters AGL, avoiding static and moving no-fly zones. Winds are moderate at 8.5 m/s from the west, increasing with altitude and including gusts up to 4 m/s. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, supporting detailed visual and thermal inspection. GNSS signals are degraded due to multipath and electromagnetic interference, complicating navigation near terrain and structures. A dynamic no-fly zone moves through the area, requiring real-time path adjustments to maintain separation. The UAV must follow a corridor inspection pattern, transitioning between vertical and fixed-wing flight, while managing battery reserves and icing conditions. An icing event occurs mid-mission, reducing performance by 40% for one minute, increasing power demands. Communication dropouts occur briefly at 120 and 450 seconds, challenging command reliability. The mission concludes with a required runway landing at the starting threshold, demanding precise energy and trajectory management.",Switch to pre-planned inertial trajectory with authenticated waypoint updates,Rely on GNSS with sensor fusion to override drift,Transmit unencrypted telemetry to confirm position,Hover until comms restore full command,Descend rapidly to avoid terrain collision,Accept remote command override without cryptographic verification,Use LiDAR-only navigation ignoring thermal data,"[""Switch to pre-planned inertial trajectory with authenticated waypoint updates"", ""Rely on GNSS with sensor fusion to override drift"", ""Transmit unencrypted telemetry to confirm position"", ""Hover until comms restore full command"", ""Descend rapidly to avoid terrain collision"", ""Accept remote command override without cryptographic verification"", ""Use LiDAR-only navigation ignoring thermal data""]",A ensures control stability by using inertial navigation during GNSS degradation and maintains data integrity via authenticated updates. It mitigates cyber risks by rejecting unverified commands and preserves availability during comms dropout. Other options either increase vulnerability to spoof游戏副本 or fail to sustain mission-critical resilience under combined physical and cyber stressors. 2025-11-01T18:05:32Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Wind_Turbine_Blade_Inspection_in_Strong_Crosswind_47966e3aec68_mcq.json,uavbench-mcq-v1,Wind_Turbine_Blade_Inspection_in_Strong_Crosswind,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,D,False,"Given GNSS degradation and 16 m/s crosswinds, which control strategy ensures secure, stable flight at 5–80 m AGL?","This is an inspection mission using a fixed-wing amphibious UAV equipped with RGB and thermal cameras, operating within a wind farm. The UAV must navigate between designated waypoints in a corridor pattern while avoiding a cylindrical no-fly zone centered at (100, 75). Strong crosswinds from the west increase in speed with altitude, reaching up to 16 m/s, and gusts add turbulence. GNSS multipath and electromagnetic interference degrade navigation accuracy, requiring robust sensor fusion. The UAV operates between 5 and 80 meters AGL, with a maximum altitude restricted by airspace limits. A second UAV moves through the area on a fixed path, requiring separation of at least 25 meters to avoid conflict. The mission must be completed within 600 seconds, including time for transition between vertical and forward flight. The UAV spawns at (20, 20, 10) and is required to use a runway for landing, with preferred and emergency sites designated. Battery endurance is critical due to high power demands in strong winds, especially during hover and transition phases. The control system must ensure stable flight and safe navigation despite aerodynamic challenges and environmental disturbances.",Use GNSS-only navigation with WPA2-encrypted telemetry,Disable encryption to reduce latency in control signals,Authenticate waypoints but rely solely on barometric altitude,"Fuse IMU, baro, and encrypted GNSS with spoofing detection",Transmit unencrypted camera data to reduce bandwidth use,Use open-loop timer-based transitions without sensor feedback,Override autopilot with direct RC commands via unauthenticated link,"[""Use GNSS-only navigation with WPA2-encrypted telemetry"", ""Disable encryption to reduce latency in control signals"", ""Authenticate waypoints but rely solely on barometric altitude"", ""Fuse IMU, baro, and encrypted GNSS with spoofing detection"", ""Transmit unencrypted camera data to reduce bandwidth use"", ""Use open-loop timer-based transitions without sensor feedback"", ""Override autopilot with direct RC commands via unauthenticated link""]","D integrates encrypted GNSS with inertial and barometric sensors, enabling spoofing detection and resilient fusion under interference. It maintains control stability in strong winds and ensures data integrity. Other options expose the UAV to spoofing, loss of control, or denial of critical feedback during transitions." 2025-11-01T18:05:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Wind_Turbine_Blade_Inspection_in_Suburban_Area_with_Microburst_Risk_636a2f97f51b_mcq.json,uavbench-mcq-v1,Wind_Turbine_Blade_Inspection_in_Suburban_Area_with_Microburst_Risk,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"At 280 s, with data link loss and a UAV 25 m away, how should the tiltrotor prioritize actions?","This UAV mission involves a wind turbine blade inspection in a suburban area using a VTOL tiltrotor drone equipped with RGB and thermal cameras, lidar, and full navigation sensors. The flight occurs within a defined polygonal airspace bounded between 5 and 120 meters AGL, with a no-fly zone cylinder near the turbine site. Weather includes steady winds at 8 m/s from 240°, increasing with altitude, and a microburst risk adding turbulence and wind shear hazards. The UAV must navigate GNSS signal degradation due to multipath effects and moderate electromagnetic interference, along with a temporary data link loss at 280 seconds. A nearby moving obstacle—a 3-meter sphere—drifts through the inspection zone, requiring real-time avoidance. Air traffic includes another UAV entering the airspace, necessitating separation monitoring to maintain at least 25 meters distance. The mission follows a corridor pattern through three waypoints, requiring precise navigation near the turbine while avoiding stall conditions during transitions. The drone must complete the inspection within 600 seconds, managing battery reserve margins and relying on a runway-style approach for landing. Operational constraints include strict geofencing, sensor reliability risks, and the need for stable flight control in gust-prone, low-altitude winds. Mission success depends on maintaining line-of-sight comms, avoiding collisions, and completing the route without breaching safety thresholds.",Descend immediately to 5 m AGL to reduce wind exposure,Maintain course using onboard lidar and relative positioning,Abort mission and return to landing zone at maximum speed,Climb to 120 m AGL for better GNSS signal and clearance,Hover in place until data link restores at 285 seconds,Broadcast position via mesh relay through the nearby UAV,Shift to thermal-only mode to conserve communication bandwidth,"[""Descend immediately to 5 m AGL to reduce wind exposure"", ""Maintain course using onboard lidar and relative positioning"", ""Abort mission and return to landing zone at maximum speed"", ""Climb to 120 m AGL for better GNSS signal and clearance"", ""Hover in place until data link restores at 285 seconds"", ""Broadcast position via mesh relay through the nearby UAV"", ""Shift to thermal-only mode to conserve communication bandwidth""]","During data link loss, maintaining course with lidar and relative navigation preserves mission progress and avoids conflict with the nearby UAV. It sustains situational awareness and coordination without relying on ground communication. Other options either increase risk, waste time, or disrupt inter-agent separation." 2025-11-01T18:05:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/airport_perimeter_recon_hexacopter_crosswind_4347599c8ec0_mcq.json,uavbench-mcq-v1,airport_perimeter_recon_hexacopter_crosswind,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,C,False,"Given GNSS multipath, 8.5 m/s crosswind, and a moving obstacle at 1.5 m/s, which strategy ensures resilient navigation and mission completion within 600 seconds?","This mission involves a hexacopter conducting a perimeter reconnaissance survey near an airport. The flight operates within a defined rectangular airspace, bounded between 30 and 120 meters AGL. Weather includes a strong 8.5 m/s crosswind from 240 degrees with gusts up to 4 m/s, though visibility is good. The UAV is equipped with standard navigation sensors and an RGB camera payload for visual data collection. A static no-fly zone protects a critical area near the center of the perimeter, while a dynamic no-fly zone moves across the airspace, requiring real-time avoidance. The UAV must maintain a minimum separation of 25 meters from other air traffic, monitored via DAA systems. A single intruding UAV enters the airspace from the north, flying westward at 15 m/s. Additionally, a moving spherical obstacle drifts eastward at 1.5 m/s, adding complexity to path planning. The mission must be completed within 600 seconds, starting and ending near the spawn point. Battery reserve is set to 30%, and GNSS signals may suffer multipath effects near airport infrastructure.",Rely solely on GNSS with no sensor fusion,Disable DAA to reduce computational load,"Use encrypted, authenticated C2 with sensor fusion and inertial fallback",Transmit unencrypted telemetry to save bandwidth,Follow the intruder UAV to predict its path,Ignore dynamic no-fly zone to save time,Use open-loop control to minimize sensor input,"[""Rely solely on GNSS with no sensor fusion"", ""Disable DAA to reduce computational load"", ""Use encrypted, authenticated C2 with sensor fusion and inertial fallback"", ""Transmit unencrypted telemetry to save bandwidth"", ""Follow the intruder UAV to predict its path"", ""Ignore dynamic no-fly zone to save time"", ""Use open-loop control to minimize sensor input""]","Encrypted and authenticated C2 links protect against command spoofing and ensure data integrity. Sensor fusion with inertial fallback mitigates GNSS multipath and maintains control stability in wind. This layered approach ensures resilience, obstacle avoidance, and mission continuity under cyber-physical stressors." 2025-11-01T18:05:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/airport_perimeter_recon_vtol_bd9b63d603b0_mcq.json,uavbench-mcq-v1,airport_perimeter_recon_vtol,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Which path maintains 120 m AGL, avoids the no-fly cylinder, and compensates for GNSS drift near runway 27?","This is a VTOL fixed-wing reconnaissance mission along an airport perimeter. The UAV operates in controlled airspace near active runways with a maximum altitude of 120 meters AGL. Weather includes moderate winds from 240 degrees at 6.5 m/s with gusts and a risk of lightning. The aircraft is a tiltrotor VTOL equipped with RGB camera payload for visual surveillance. GNSS signals are degraded due to jamming and electromagnetic interference, posing navigation challenges. A central no-fly cylinder restricts access around a sensitive zone, and the UAV must avoid moving obstacles. The mission requires runway alignment for contingency landing and adheres to strict separation from other air traffic. Communication experiences brief downlink outages, requiring resilient data handling. Battery reserves are set at 30% to ensure safe return under wind and fault conditions. The flight plan follows a grid pattern within a polygonal geofence to ensure full area coverage.","Fly direct grid pattern at 110 m AGL, no deviation",Descend to 90 m AGL to reduce wind impact,"Circumnavigate NFZ with 75 m lateral buffer, hold 120 m",Ascend to 135 m AGL for better signal reception,Reduce speed to 12 m/s inside electromagnetic zone,Shift grid east by 40 m to counter GNSS westward drift,Skip waypoint W3 to maintain schedule after outage,"[""Fly direct grid pattern at 110 m AGL, no deviation"", ""Descend to 90 m AGL to reduce wind impact"", ""Circumnavigate NFZ with 75 m lateral buffer, hold 120 m"", ""Ascend to 135 m AGL for better signal reception"", ""Reduce speed to 12 m/s inside electromagnetic zone"", ""Shift grid east by 40 m to counter GNSS westward drift"", ""Skip waypoint W3 to maintain schedule after outage""]","C maintains the required 120 m AGL and adds a safe lateral buffer to avoid the no-fly cylinder, compensating for GNSS inaccuracy. It preserves mission timing and sensor coverage while respecting geofence and altitude constraints. Other options either breach altitude limits, reduce safety margins, or skip critical surveillance points." 2025-11-01T18:05:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Wind_Turbine_Blade_Inspection_in_Volcanic_Zone_with_Icing_008ff91d54dc_mcq.json,uavbench-mcq-v1,Wind_Turbine_Blade_Inspection_in_Volcanic_Zone_with_Icing,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV system best handles icing at 210 s, 13.5 m/s winds at 200 m, and GNSS jamming at -75 dBm?","This is an inspection mission using a convertiplane UAV equipped with RGB and thermal cameras, operating in a volcanic zone with poor visibility and icing conditions. The flight occurs within a 1000×1000 m² geofenced area, with altitude restricted between 10 and 300 m AGL. Strong winds increase with altitude, reaching 13.5 m/s at 200 m, and wind direction shifts from 210° to 245°, creating challenging flight dynamics. The UAV must avoid a static no-fly zone centered at (500, 500) and a moving obstacle near (700, 300) traveling northwest. Additional hazards include GNSS multipath, moderate jamming at -75 dBm, and electromagnetic interference affecting navigation. Two thermal updrafts near (800, 600) and (200, 900) may impact stability, while a dynamic obstacle moves through the airspace. An icing event occurs at 210 seconds, reducing performance for one minute, and communication dropouts happen between 180–190 and 310–320 seconds. The UAV must follow a corridor inspection pattern with five waypoints and return to land at a designated runway-aligned site. Traffic from another UAV entering at (300, 800) requires separation monitoring, with a minimum safe distance of 25 m and TTC threshold of 20 s.",Fixed-wing with RTK-GPS and de-icing coils,Quadcopter with visual-inertial odometry only,Convertiplane with dual INS and anti-icing blades,Helicopter with lightweight thermal camera only,"Fixed-wing with standard propellers, no redundancy",Multirotor with high-power RGB but no thermal,"Convertiplane with single INS, no de-icing","[""Fixed-wing with RTK-GPS and de-icing coils"", ""Quadcopter with visual-inertial odometry only"", ""Convertiplane with dual INS and anti-icing blades"", ""Helicopter with lightweight thermal camera only"", ""Fixed-wing with standard propellers, no redundancy"", ""Multirotor with high-power RGB but no thermal"", ""Convertiplane with single INS, no de-icing""]","The convertiplane with dual INS maintains navigation under GNSS jamming and thermal updrafts, while anti-icing blades preserve lift during the 1-minute icing event. Dual INS ensures fault tolerance during communication dropouts and wind shear, unlike single or non-redundant systems. Other options fail in redundancy, environmental adaptation, or payload capability under combined wind, icing, and interference." 2025-11-01T18:05:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Wind_Turbine_Blade_Inspection_in_Thermal_Updrafts_7bedf8f72b3b_mcq.json,uavbench-mcq-v1,Wind_Turbine_Blade_Inspection_in_Thermal_Updrafts,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,F,False,"With 3 minutes left, 25% battery, and a drifting obstacle near Turbine 3, what should the UAV do?","This is an inspection mission using a quadrotor UAV equipped with RGB and thermal cameras to examine wind turbine blades within a wind farm. The operation takes place in a confined airspace with a geofenced boundary and a static no-fly zone around a central turbine. Two thermal updrafts are present, creating localized vertical air currents that may affect flight stability and energy consumption. Winds are moderate at 8.5 m/s from 240 degrees, with gusts up to 4 m/s, increasing aerodynamic challenges. The UAV must avoid a dynamic no-fly zone moving southwest and a drifting spherical obstacle near a turbine. GNSS signals are degraded due to multipath effects and electromagnetic interference, requiring robust navigation solutions. A second UAV is present in the airspace, flying a fixed trajectory, necessitating separation assurance to maintain safe distances. The mission must be completed within 10 minutes, with the UAV starting from a designated hover point and returning safely to a preferred landing site. Battery endurance is limited, with a reserve of 30% required, and communication dropouts are expected at two intervals during the flight.",Continue inspection to meet mission deadline,Abort mission and return to landing site immediately,"Ascend to avoid obstacle, risking thermal updraft instability",Fly through gap between obstacle and turbine to save time,Hover in place until the obstacle drifts clear,"Reroute around obstacle, accepting delayed return",Transmit warning and proceed as planned,"[""Continue inspection to meet mission deadline"", ""Abort mission and return to landing site immediately"", ""Ascend to avoid obstacle, risking thermal updraft instability"", ""Fly through gap between obstacle and turbine to save time"", ""Hover in place until the obstacle drifts clear"", ""Reroute around obstacle, accepting delayed return"", ""Transmit warning and proceed as planned""]",Rerouting balances mission objectives with safety by avoiding collision while respecting battery reserve and airspace constraints. Continuing or ascending increases risk under degraded GNSS and wind conditions. Aborting or hovering wastes time or violates efficiency; only rerouting maintains ethical responsibility to complete the mission safely without endangering assets or violating operational limits. 2025-11-01T18:05:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/amphibious_delivery_bridge_site_48ff2c4109cc_mcq.json,uavbench-mcq-v1,amphibious_delivery_bridge_site,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"Given 7.5 m/s southwest wind, 5 kg payload, and thermal updrafts, which airspeed and pitch strategy maintains lift while minimizing drift and drag?","This scenario involves a delivery mission using an amphibious fixed-wing UAV equipped with GNSS, IMU, camera, and LiDAR. The mission takes place near a bridge construction site within a rectangular airspace bounded by geofences. The UAV must navigate around a static no-fly zone over the bridge center and a moving no-fly zone drifting southwest. A second UAV and a moving spherical obstacle create dynamic collision risks. Wind blows from the southwest at 7.5 m/s with gusts up to 4 m/s, and thermal updrafts near the bridge provide localized lift. The UAV carries a 5 kg payload and operates under strict separation requirements of 25 m and 15 s time-to-collision thresholds. GNSS multipath effects are present due to nearby structures, challenging navigation accuracy. The mission must be completed within 600 seconds, starting from a predefined spawn point and ending at a preferred landing site. Battery endurance and obstacle avoidance are critical due to limited reserve power and complex, constrained airspace.",Increase airspeed to 18 m/s and reduce pitch to 2°,Decrease airspeed to 10 m/s and increase pitch to 14°,Maintain 14 m/s airspeed with 6° pitch attitude,Climb at 20 m/s with 10° pitch into the wind,Descend at 8 m/s with 16° angle of attack,Hold level flight at 12 m/s with 12° pitch,Accelerate to 22 m/s with negative pitch,"[""Increase airspeed to 18 m/s and reduce pitch to 2°"", ""Decrease airspeed to 10 m/s and increase pitch to 14°"", ""Maintain 14 m/s airspeed with 6° pitch attitude"", ""Climb at 20 m/s with 10° pitch into the wind"", ""Descend at 8 m/s with 16° angle of attack"", ""Hold level flight at 12 m/s with 12° pitch"", ""Accelerate to 22 m/s with negative pitch""]","At 14 m/s and 6° pitch, the UAV balances lift for 5 kg payload and maintains margin above stall under gusting wind. This airspeed optimizes lift-to-drag ratio while countering southwest drift without overpenetration. Higher angles increase induced drag; lower speeds risk stall in turbulence." 2025-11-01T18:05:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/amphibious_glider_thermal_soaring_volcanic_icing_0b2386770a4e_mcq.json,uavbench-mcq-v1,amphibious_glider_thermal_soaring_volcanic_icing,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best balances endurance, fault tolerance, and navigation accuracy at 200 m AGL with 15 m/s winds and GNSS degradation?","This mission involves an amphibious fixed-wing VTOL UAV conducting a survey in a volcanic zone with hazardous weather. The UAV operates within a defined polygonal airspace bounded between 10 and 300 meters AGL, featuring a static no-fly zone and a moving restricted zone. Strong winds increase with altitude, shifting direction and reaching 15 m/s at 200 meters, while thermal updrafts provide potential lift near active plumes. The environment includes poor visibility, volcanic ash, and icing conditions that temporarily degrade performance. The UAV carries thermal and RGB cameras, along with radar, supporting surveillance in degraded visual conditions. GNSS signals suffer from multipath effects and moderate jamming, and electromagnetic interference challenges navigation reliability. The UAV must avoid a dynamic obstacle and maintain separation from another UAV on a crossing path. A runway-assisted takeoff and landing are required, with designated emergency landing sites available. Battery endurance is critical due to high power demands in windy conditions and de-icing events. The mission emphasizes resilience against faults, communication dropouts, and strict adherence to airspace constraints.",Fixed-wing with single IMU and minimal redundancy,Quadcopter with dual GNSS and heavy de-icing,Amphibious VTOL with radar-assisted navigation and thermal updraft use,Glider UAV relying on GNSS and RGB-only sensing,Rotary-wing with maximum battery but no radar,Fixed-wing VTOL using GNSS-only navigation and no de-icing,Hybrid VTOL with redundant IMUs but no thermal camera,"[""Fixed-wing with single IMU and minimal redundancy"", ""Quadcopter with dual GNSS and heavy de-icing"", ""Amphibious VTOL with radar-assisted navigation and thermal updraft use"", ""Glider UAV relying on GNSS and RGB-only sensing"", ""Rotary-wing with maximum battery but no radar"", ""Fixed-wing VTOL using GNSS-only navigation and no de-icing"", ""Hybrid VTOL with redundant IMUs but no thermal camera""]","The amphibious VTOL leverages thermal updrafts to offset wind-induced power demands and extends endurance. Radar and redundancy mitigate GNSS and visibility issues, ensuring navigation reliability. It uniquely integrates environmental adaptability, fault tolerance, and sensor diversity for the volcanic mission." 2025-11-01T18:05:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/amphibious_survey_powerline_0f07928bb14d_mcq.json,uavbench-mcq-v1,amphibious_survey_powerline,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 55 m AGL, 9 m/s wind from 250°, and 1-min icing fault, how should UAVs coordinate LiDAR and camera payload use with GNSS outages?","Amphibious UAV conducts a powerline corridor survey in poor visibility with icing conditions. Flight occurs in a defined rectangular airspace with a central static no-fly zone and a moving exclusion zone. A second UAV and a moving spherical obstacle traverse the airspace, requiring dynamic separation. The UAV transitions between VTOL and fixed-wing flight along a linear waypoint path at 50–60 m AGL. Wind increases with altitude, reaching 9 m/s from 250°, with gusts up to 4 m/s and thermal updrafts present. GNSS signals suffer from multipath, moderate jamming, and brief comms outages during flight. Electromagnetic interference and icing affect sensor and aerodynamic performance. The mission demands runway-aligned takeoff and landing with strict altitude and geofence compliance. An icing fault event occurs mid-mission, reducing efficiency for one minute. Payload includes RGB and thermal cameras, with LiDAR active for environmental mapping.",Switch to thermal-only imaging to conserve power during jamming,Pause survey and hover until GNSS signal stabilizes for 10 seconds,Rely solely on LiDAR for navigation during comms outages,Increase inter-UAV spacing to 400 m to reduce RF interference,Synchronize camera capture to fixed-wing transition at waypoint 3,Delay fixed-wing transition until after the moving obstacle passes,Alternate LiDAR and camera use every 30 seconds for data balance,"[""Switch to thermal-only imaging to conserve power during jamming"", ""Pause survey and hover until GNSS signal stabilizes for 10 seconds"", ""Rely solely on LiDAR for navigation during comms outages"", ""Increase inter-UAV spacing to 400 m to reduce RF interference"", ""Synchronize camera capture to fixed-wing transition at waypoint 3"", ""Delay fixed-wing transition until after the moving obstacle passes"", ""Alternate LiDAR and camera use every 30 seconds for data balance""]","Synchronizing camera capture with fixed-wing transition ensures optimal data quality during stable flight, aligning with aerodynamic efficiency post-icing event. It leverages predictable motion for RGB/thermal imaging while preserving LiDAR for dynamic obstacle mapping. This maintains inter-agent awareness and minimizes data gaps during GNSS degradation." 2025-11-01T18:05:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/amphibious_search_rescue_forest_0a1200ffb280_mcq.json,uavbench-mcq-v1,amphibious_search_rescue_forest,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,UAV searches at 15 m AGL with 6 m/s winds; no-fly zone below 60 m. How to proceed?,"This is a search and rescue mission conducted in a forested airspace using an amphibious fixed-wing UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The UAV operates within an altitude range of 5 to 120 meters AGL, following a grid search pattern across five waypoints. Winds are moderate at 6 m/s from 135 degrees with gusts up to 3 m/s, but visibility is good. A no-fly zone cylinder is present near the center of the area, requiring avoidance below 60 meters. The UAV must maintain a separation of at least 25 meters from other traffic, with a time-to-closest-approach threshold of 15 seconds. There is one moving obstacle drifting horizontally through the search area. The mission requires the UAV to return and land on a designated runway, with both preferred and emergency landing sites defined. Battery capacity is limited to 450 Wh, with 30% reserved for safety. GNSS signals may experience multipath effects due to the forested terrain, and the UAV must avoid geofence violations. The scenario includes one other UAV on a conflicting flight path, increasing collision risk.","Climb to 65 m AGL, continue grid pattern","Descend to 10 m AGL, accelerate search speed",Hold position at 15 m AGL until obstacle passes,"Exit search, divert directly to emergency landing","Reduce speed, fly at 55 m AGL through no-fly zone","Maintain 15 m AGL, shift grid laterally by 30 m","Ascend to 120 m AGL, orbit for 5 minutes","[""Climb to 65 m AGL, continue grid pattern"", ""Descend to 10 m AGL, accelerate search speed"", ""Hold position at 15 m AGL until obstacle passes"", ""Exit search, divert directly to emergency landing"", ""Reduce speed, fly at 55 m AGL through no-fly zone"", ""Maintain 15 m AGL, shift grid laterally by 30 m"", ""Ascend to 120 m AGL, orbit for 5 minutes""]","Climbing to 65 m AGL avoids the no-fly zone below 60 m while maintaining separation from terrain and obstacle. It preserves battery for return and reduces collision risk with the moving obstacle. Other options violate altitude constraints, increase multipath, or waste energy." 2025-11-01T18:05:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/amphibious_uav_moving_nfz_crosswind_jungle_2ee2c2e97c4d_mcq.json,uavbench-mcq-v1,amphibious_uav_moving_nfz_crosswind_jungle,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 110 m AGL, 13.5 m/s crosswind, and 38% battery, UAV detects dynamic NFZ moving at 3.4 m/s. Best action?","This is a survey mission conducted in a jungle environment using an amphibious fixed-wing UAV equipped with GNSS, IMU, camera, and LIDAR. The UAV operates within a defined airspace from 5 to 120 meters AGL, navigating a rectangular geofenced area with both static and moving no-fly zones. Strong crosswinds up to 13.5 m/s increase with altitude and shift direction, creating challenging flight conditions. The UAV must avoid a dynamic no-fly zone moving at 3.4 m/s and maintain separation from another UAV and a moving spherical obstacle. GNSS signals are degraded due to multipath effects and moderate jamming at -85 dBm, compounded by electromagnetic interference. The mission requires runway-assisted takeoff and landing, with a time budget of 600 seconds to complete a grid pattern over four waypoints. Communication links experience brief outages, and the control system uses discrete actions for navigation. Battery reserves are set at 30%, and energy consumption is closely monitored due to wind-induced drag and maneuvering loads. The primary constraints include avoiding NFZ breaches, maintaining safe separation, preventing stalls, and completing the survey within battery and time limits.",Descend to 45 m AGL and continue survey,Climb to 125 m AGL to clear NFZ,"Turn 180°, fly downwind to Waypoint 1",Divert immediately to runway for landing,Hold position at 110 m until NFZ passes,Increase speed to 18 m/s to outrun NFZ,Descend to 60 m AGL and reroute eastward,"[""Descend to 45 m AGL and continue survey"", ""Climb to 125 m AGL to clear NFZ"", ""Turn 180°, fly downwind to Waypoint 1"", ""Divert immediately to runway for landing"", ""Hold position at 110 m until NFZ passes"", ""Increase speed to 18 m/s to outrun NFZ"", ""Descend to 60 m AGL and reroute eastward""]","Descending to 60 m AGL stays within 5–120 m AGL limits, reduces wind exposure, and rerouting east avoids the NFZ while preserving battery. Other options violate altitude, increase risk, or waste energy. G balances separation, endurance, and mission completion within constraints." 2025-11-01T18:05:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_amphibious_spoof_mission_90f94f4b82f2_mcq.json,uavbench-mcq-v1,arctic_amphibious_spoof_mission,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 180s, GNSS jamming hits -95dBm; winds reach 13.5 m/s with gusts, and a moving obstacle approaches within 15s TCA. What is the priority?","This is a survey mission conducted in arctic airspace featuring an amphibious fixed-wing UAV equipped with RGB and thermal cameras, LiDAR, and full GNSS/IMU suite. The UAV operates within a defined polygonal geofence at altitudes between 10 and 120 meters AGL, avoiding static and moving no-fly zones, including a dynamic cylindrical exclusion zone drifting at 1.6 m/s. Strong and increasing wind conditions from the southwest range from 8.5 m/s at ground level to 13.5 m/s at 100 meters, with gusts up to 4.2 m/s and poor visibility due to dust and icing. The UAV must navigate GNSS jamming at -95 dBm background with a deliberate 60-second severe jamming fault at 180 seconds into the flight, compounded by electromagnetic interference. Icing conditions are present and trigger a fault at 300 seconds, reducing performance for 90 seconds. A second UAV and a moving spherical obstacle introduce traffic separation requirements, with DAA thresholds set at 25 meters and 15 seconds time-to-closest-approach. Downlink communications are intermittently lost during two 60-second windows, limiting data transmission despite functional uplink. The mission must be completed within 600 seconds, following a corridor pattern across four waypoints while managing battery reserves, avoiding stalls, and ensuring safe landings at designated sites.",Continue survey; rely on IMU during jamming,Descend to 10m AGL to reduce wind impact,Abort mission and return to base immediately,Climb above 120m AGL for clearer GNSS signal,Fly toward the second UAV for signal relay,Enter hover until jamming and obstacle pass,Redirect to nearest safe landing site without delay,"[""Continue survey; rely on IMU during jamming"", ""Descend to 10m AGL to reduce wind impact"", ""Abort mission and return to base immediately"", ""Climb above 120m AGL for clearer GNSS signal"", ""Fly toward the second UAV for signal relay"", ""Enter hover until jamming and obstacle pass"", ""Redirect to nearest safe landing site without delay""]","Human safety and airspace compliance outweigh mission continuity. GNSS jamming, high winds, and proximity to a moving obstacle within 15s TCA create unacceptable risk. Landing at the nearest safe site minimizes collision danger and adheres to emergency protocols under degraded navigation." 2025-11-01T18:05:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_convertiplane_survey_low_visibility_6b452fc7eeae_mcq.json,uavbench-mcq-v1,arctic_convertiplane_survey_low_visibility,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"After icing fault at 320 m AGL in moderate snow, winds 15.5 m/s, what immediate action minimizes risk while staying in 50–450 m AGL band?","This is a survey mission using a convertiplane UAV in Arctic airspace. The UAV operates within a predefined polygonal geofence at altitudes between 50 and 450 meters AGL. Weather conditions include poor visibility, moderate snowfall, icing risks, and strong winds up to 15.5 m/s increasing with altitude. The UAV is equipped with a full sensor suite including GNSS, radar, LiDAR, RGB and thermal cameras. Notable constraints include GNSS multipath effects, electromagnetic interference, and localized jamming. A static no-fly zone and a moving dynamic no-fly cylinder must be avoided. The mission requires a runway for operations and includes a transition from VTOL to fixed-wing flight. An icing fault event occurs mid-mission, reducing performance temporarily. Communication experiences brief outages at specific intervals. Traffic and moving obstacles introduce additional separation challenges requiring active detection and avoidance.",Climb to 450 m for smoother air,Descend to 60 m AGL and slow speed,"Turn right, descend to 200 m, head to runway",Maintain altitude and increase engine power,Enter hover mode and wait for fault reset,Divert through dynamic no-fly cylinder,Accelerate in fixed-wing mode toward geofence edge,"[""Climb to 450 m for smoother air"", ""Descend to 60 m AGL and slow speed"", ""Turn right, descend to 200 m, head to runway"", ""Maintain altitude and increase engine power"", ""Enter hover mode and wait for fault reset"", ""Divert through dynamic no-fly cylinder"", ""Accelerate in fixed-wing mode toward geofence edge""]","Icing reduces performance and higher altitudes increase wind exposure, so descending improves safety. Option C reduces load, avoids terrain and wind, and positions for landing. Other options either increase icing risk, violate avoidance zones, or exceed endurance and separation limits under GNSS degradation." 2025-11-01T18:05:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_disaster_recon_HAPS_41fcaa2db584_mcq.json,uavbench-mcq-v1,arctic_disaster_recon_HAPS,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"At 6,000 m, 18 m/s winds and icing reduce UAV efficiency. With 12,000 Wh battery and 30% reserve, what maximizes search coverage?","High-altitude pseudo-satellite UAV conducts search and rescue in Arctic airspace. Operating between 4,500 and 7,500 meters AGL within a defined polygonal geofence. Equipped with radar, RGB and thermal cameras for disaster reconnaissance. Battery-powered with 12,000 Wh capacity and 30% reserve for extended endurance. Flying in poor visibility with active snowfall and icing conditions. Wind increases with altitude, reaching 18 m/s from the west at 6,000 meters. GNSS signals degraded by multipath and -85 dBm jamming, with electromagnetic interference. Mission includes dynamic no-fly zones, one moving southwest at 2.8 m/s. UAV swarm of three units maintains 150-meter minimum separation. Icing event reduces performance for one minute starting at 120 seconds into flight.","Climb to 7,500 m for clearer GNSS and wider camera swath","Descend to 4,500 m to reduce wind resistance and icing risk",Maintain altitude and activate all sensors at full power,Fly westward into wind to maximize ground coverage speed,Power down RGB camera to save 120 W for longer endurance,Increase speed to 25 m/s to outrun the moving no-fly zone,Broadcast high-bandwidth video from all three UAVs continuously,"[""Climb to 7,500 m for clearer GNSS and wider camera swath"", ""Descend to 4,500 m to reduce wind resistance and icing risk"", ""Maintain altitude and activate all sensors at full power"", ""Fly westward into wind to maximize ground coverage speed"", ""Power down RGB camera to save 120 W for longer endurance"", ""Increase speed to 25 m/s to outrun the moving no-fly zone"", ""Broadcast high-bandwidth video from all three UAVs continuously""]","Powering down the RGB camera reduces energy use without sacrificing thermal/radar search capability, preserving battery for adverse conditions. This extends endurance while maintaining mission-critical sensing, balancing resource use and coverage. Other options increase drag, power draw, or data load beyond sustainable limits." 2025-11-01T18:05:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_firefighting_haps_drop_2a7b922f8947_mcq.json,uavbench-mcq-v1,arctic_firefighting_haps_drop,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"At 5,200 m AGL, UAV must reroute around dynamic NFZ while maintaining 50 m separation and countering 15 m/s winds.","Mission involves a firefighting drop using a high-altitude pseudo-satellite UAV in Arctic airspace. The UAV operates between 3,000 and 7,000 meters AGL within a defined polygonal geofence. Weather includes strong winds up to 15 m/s at altitude, snowfall, poor visibility, and icing conditions. The UAV is battery-powered with a thermal and RGB camera payload for fire detection and drop targeting. A static no-fly zone and a moving dynamic no-fly zone restrict flight paths near the operation area. GNSS signals suffer from multipath effects and moderate jamming, complicating navigation. Electromagnetic interference and periodic comms loss add to operational challenges. A swarm of three UAVs operates with role specialization and minimum 50-meter inter-UAV separation. An icing fault event occurs mid-mission, reducing performance for two minutes. Thermal updrafts and wind shear are present, requiring careful energy and trajectory management.","Descend to 3,000 m to avoid wind shear and conserve energy",Fly direct through static NFZ to minimize time to target,Bank sharply to bypass dynamic NFZ edge within 40 m of swarm,Hold position until GNSS stabilizes after jamming event,"Execute lateral offset path at current altitude, adding 12 seconds","Climb to 7,100 m AGL for clearer GNSS and reduced drag",Abort mission due to icing fault and comms loss overlap,"[""Descend to 3,000 m to avoid wind shear and conserve energy"", ""Fly direct through static NFZ to minimize time to target"", ""Bank sharply to bypass dynamic NFZ edge within 40 m of swarm"", ""Hold position until GNSS stabilizes after jamming event"", ""Execute lateral offset path at current altitude, adding 12 seconds"", ""Climb to 7,100 m AGL for clearer GNSS and reduced drag"", ""Abort mission due to icing fault and comms loss overlap""]","E maintains safe altitude within operational band, respects dynamic NFZ boundary, and accounts for GNSS drift with a precise lateral offset. It preserves swarm separation and minimizes time loss. Other options violate AGL limits, breach NFZs, reduce separation, or unnecessarily abort." 2025-11-01T18:05:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_fog_recon_convertiplane_a238c08b77fe_mcq.json,uavbench-mcq-v1,arctic_fog_recon_convertiplane,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which configuration optimizes endurance and fault tolerance during a 10-minute arctic mapping mission with icing, GNSS jamming, and 30% battery reserve?","A convertiplane UAV conducts a mapping mission in arctic airspace under poor visibility with snowfall and icing conditions. The UAV operates between 50 and 300 meters AGL within a defined polygonal geofence. Winds are strong, increasing with altitude from 8 to 12 m/s from the west, with gusts up to 4 m/s. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, but faces GNSS multipath and moderate jamming. A static no-fly zone and a moving restricted zone challenge flight planning. The mission requires runway-assisted takeoff and landing, with a grid pattern over five waypoints within a 10-minute time budget. Traffic includes another UAV flying westbound at 20 m/s, requiring 50-meter separation. An icing fault event occurs mid-mission, reducing performance for one minute. Communication dropouts occur briefly at 150 and 400 seconds, and electromagnetic interference affects systems throughout. The UAV must manage energy carefully, with 30% battery reserve required and limited by high hover power draw.","Fixed-wing with skid landing, minimal redundancy","Quadcopter with thermal de-icing, no LiDAR","Tilt-rotor with dual GNSS, de-icing boots, LiDAR","Helicopter with single battery, heavy shielding","Fixed-wing with runway takeoff, no de-icing","Octocopter with dual cameras, no GNSS hardening","Tilt-rotor with single IMU, no comms redundancy","[""Fixed-wing with skid landing, minimal redundancy"", ""Quadcopter with thermal de-icing, no LiDAR"", ""Tilt-rotor with dual GNSS, de-icing boots, LiDAR"", ""Helicopter with single battery, heavy shielding"", ""Fixed-wing with runway takeoff, no de-icing"", ""Octocopter with dual cameras, no GNSS hardening"", ""Tilt-rotor with single IMU, no comms redundancy""]","The tilt-rotor with dual GNSS, de-icing boots, and LiDAR balances fault tolerance, sensor capability, and energy efficiency. It withstands icing and jamming while maintaining navigation accuracy and mission endurance within battery constraints. Other options lack critical redundancy, environmental protection, or power efficiency." 2025-11-01T18:05:34Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_disaster_recon_convertiplane_9e440075b038_mcq.json,uavbench-mcq-v1,arctic_disaster_recon_convertiplane,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"At 280 m AGL, 17.5 m/s winds and wind shear risk UAV stability during a 600-second search. What action prioritizes safety and mission success?","This is a search and rescue mission in Arctic airspace with poor visibility and sandstorm conditions. The UAV is a convertiplane equipped with RGB and thermal cameras, LiDAR, radar, and full navigation sensors. It operates within a 10–300 m AGL altitude range inside a defined polygonal geofence. Strong winds increase with altitude, reaching 17.5 m/s at 200 m, and wind shear is present. A static no-fly zone blocks access to a central area, while a dynamic no-fly zone moves slowly through the airspace. The mission involves a three-UAV swarm with leader, scout, and relay roles maintaining at least 50 m separation. GNSS suffers from multipath and mild jamming, and electromagnetic interference is present. Communication experiences periodic downlink losses, though uplink is currently unavailable. Thermal updrafts near the target area can assist lift but complicate control. The UAV must complete its corridor search within 600 seconds and land at the designated runway.",Descend to 150 m AGL to reduce wind exposure and maintain control,Climb to 300 m AGL for clearer radar returns despite stronger winds,Enter the static no-fly zone to shorten search path and save time,Reduce separation to 30 m to improve swarm coordination in poor visibility,Transmit high-priority data using emergency override despite uplink unavailability,Exploit thermal updrafts at maximum altitude to extend loiter time,Continue at 280 m AGL; trust autonomy to handle wind shear and jamming,"[""Descend to 150 m AGL to reduce wind exposure and maintain control"", ""Climb to 300 m AGL for clearer radar returns despite stronger winds"", ""Enter the static no-fly zone to shorten search path and save time"", ""Reduce separation to 30 m to improve swarm coordination in poor visibility"", ""Transmit high-priority data using emergency override despite uplink unavailability"", ""Exploit thermal updrafts at maximum altitude to extend loiter time"", ""Continue at 280 m AGL; trust autonomy to handle wind shear and jamming""]","Operating at 280 m AGL in 17.5 m/s winds with wind shear poses unacceptable control risks. Descending to 150 m reduces wind exposure while staying within safe AGL limits. This preserves UAV integrity, ensures mission continuity, and upholds safety-of-life principles over marginal time gains." 2025-11-01T18:05:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_forest_search_octocopter_856965dabb8a_mcq.json,uavbench-mcq-v1,arctic_forest_search_octocopter,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During GNSS jamming (240–270 s) with 9 m/s winds and hail, which navigation strategy maintains position integrity?","This is a search and rescue mission conducted in arctic airspace within a forested region. The UAV is an octocopter equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates under poor visibility and active hail, with strong 9 m/s winds from the west and gusts up to 4.5 m/s. The flight is constrained to altitudes between 10 and 120 meters AGL within a defined polygonal geofence. A static no-fly zone blocks access to a cylinder near the center of the area, and a dynamic no-fly zone moves southwest over time. A second UAV enters the airspace from the east, requiring separation maintenance of at least 25 meters or 15 seconds time-to-closest approach. A moving spherical obstacle also drifts through the environment, posing a collision risk. The octocopter must complete its corridor search pattern within 600 seconds, starting from a hover at (20, 20, 30). GNSS signal is jammed between 240 and 270 seconds, coinciding with a comms downlink loss window. Battery reserve is set to 30%, and mission success depends on navigation, obstacle avoidance, and timely completion despite weather and system disruptions.",Trust GPS despite jamming; filter spikes with low-pass,Switch exclusively to IMU dead reckoning for 30 s,Fuse LiDAR SLAM with visual odometry and IMU,Rely on thermal camera to track ground features,Hold hover using barometer and magnetometer lock,Descend to 10 m to improve GNSS signal quality,Use wind sensors to estimate drift and correct path,"[""Trust GPS despite jamming; filter spikes with low-pass"", ""Switch exclusively to IMU dead reckoning for 30 s"", ""Fuse LiDAR SLAM with visual odometry and IMU"", ""Rely on thermal camera to track ground features"", ""Hold hover using barometer and magnetometer lock"", ""Descend to 10 m to improve GNSS signal quality"", ""Use wind sensors to estimate drift and correct path""]","LiDAR SLAM provides precise terrain-relative positioning despite GNSS denial, while visual odometry enhances feature tracking in low visibility. Fusing both with IMU maintains continuity and corrects drift under harsh dynamics. This triad ensures robustness against wind disturbances and sensor degradation during hail." 2025-11-01T18:05:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_forest_swarm_search_low_vis_d1b5bda2e912_mcq.json,uavbench-mcq-v1,arctic_forest_swarm_search_low_vis,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 250 seconds, icing reduces drone efficiency for 60 seconds while GNSS degrades due to jamming and multipath in a 10–120 m AGL airspace.","This is a search and rescue mission conducted in an arctic forest environment using a swarm of four small battery-powered drones. The airspace is restricted between 10 and 120 meters AGL, with a static no-fly zone near the center and a moving no-fly zone drifting slowly northwest. Weather conditions include strong winds up to 12 m/s aloft, poor visibility due to snowfall, and icing risks that temporarily affect drone performance. The UAVs are equipped with GNSS, IMU, lidar, RGB and thermal cameras, but face GNSS signal degradation from multipath and moderate jamming. The swarm must navigate a grid search pattern while avoiding terrain, obstacles, and a dynamic intruder UAV. Communications experience two brief downlink loss windows, and electromagnetic interference is present. A fault injects icing effects at 250 seconds, reducing efficiency for one minute. The drones must maintain minimum separation of 10 meters and avoid breaching geofences or coming too close to other traffic. Battery endurance is limited, with a 10-minute time budget and 30% reserve required. The mission emphasizes robust navigation and coordination under harsh arctic conditions with multiple sensor and environmental challenges.",Switch to lidar-aided inertial navigation with encrypted V2V updates,Increase GNSS reliance to counteract wind disturbances,Disable encryption to reduce communication latency during downlink loss,Broadcast unauthenticated position updates to maintain swarm cohesion,Rely solely on thermal cameras for obstacle detection in snowfall,Override IMU inputs to compensate for icing-induced sensor drift,"Ascend to 130 m AGL to escape jamming, ignoring geofence limits","[""Switch to lidar-aided inertial navigation with encrypted V2V updates"", ""Increase GNSS reliance to counteract wind disturbances"", ""Disable encryption to reduce communication latency during downlink loss"", ""Broadcast unauthenticated position updates to maintain swarm cohesion"", ""Rely solely on thermal cameras for obstacle detection in snowfall"", ""Override IMU inputs to compensate for icing-induced sensor drift"", ""Ascend to 130 m AGL to escape jamming, ignoring geofence limits""]","Switching to lidar-aided inertial navigation mitigates GNSS jamming and spoofing risks while maintaining position integrity. Encrypted V2V updates preserve command authenticity and availability during downlink loss. This ensures control stability, data confidentiality, and geofence compliance under sensor degradation and environmental stress." 2025-11-01T18:05:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_glider_facade_inspection_e8b54fd57c17_mcq.json,uavbench-mcq-v1,arctic_glider_facade_inspection,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 190s, winds hit 15 m/s, fog reduces visibility, and icing is imminent in 10s. Maintain 25m separation from moving obstacle 40m ahead.","This UAV mission involves a glider conducting a facade inspection in Arctic airspace. The flight occurs within a defined 300x300 meter geofenced area, with a minimum safe altitude of 20 meters AGL and a maximum of 150 meters. Weather conditions include strong winds up to 15 m/s increasing with altitude, poor visibility due to fog, and icing conditions that can affect aerodynamics and sensor performance. The UAV is equipped with RGB and thermal cameras for inspection, along with LiDAR, GNSS, IMU, and other navigation sensors. Key constraints include a central no-fly zone cylinder and a moving no-fly zone drifting westward, both requiring dynamic avoidance. Additional hazards include GNSS multipath effects, electromagnetic interference, and periodic uplink communication loss. A distant UAV traffic object moves through the airspace, and a moving spherical obstacle traverses the inspection route, requiring real-time detection and avoidance. The glider must maintain separation of at least 25 meters from traffic and obstacles, with a time-to-collision threshold of 15 seconds. An icing event is scheduled at 200 seconds into the mission, reducing performance for one minute. The mission must be completed within 600 seconds while managing battery reserves and environmental risks.",Continue approach to complete facade scan within 600s window,Climb to 140m to avoid obstacle and improve GNSS signal,Descend to 22m AGL to reduce wind exposure and save battery,Abort mission and return to base immediately,Hover in place until obstacle passes and conditions stabilize,Fly laterally around obstacle at current altitude using LiDAR,Reduce speed and tilt camera to capture data while retreating,"[""Continue approach to complete facade scan within 600s window"", ""Climb to 140m to avoid obstacle and improve GNSS signal"", ""Descend to 22m AGL to reduce wind exposure and save battery"", ""Abort mission and return to base immediately"", ""Hover in place until obstacle passes and conditions stabilize"", ""Fly laterally around obstacle at current altitude using LiDAR"", ""Reduce speed and tilt camera to capture data while retreating""]","Icing in 10 seconds will degrade control and battery; continuing or hovering increases collision risk. G balances safety and mission by retreating while gathering limited data, avoiding violation of separation and minimum safe altitude. Other options risk loss of control, breach geofence, or fail to prioritize human safety over data completion." 2025-11-01T18:05:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_glider_inspection_ca6cae95a4f201ab_8f63e7571922_mcq.json,uavbench-mcq-v1,arctic_glider_inspection_ca6cae95a4f201ab,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,E,False,"At 220 m AGL, winds at 14.5 m/s increase with altitude; UAV must reach waypoint in 420 s with icing reducing lift by 18% for 60 s.","This is an arctic inspection mission using a fixed-wing glider UAV equipped with radar, RGB, and thermal cameras. The flight occurs in a designated polygonal airspace with a minimum altitude of 30 m AGL and a maximum of 300 m AGL. Weather conditions include strong winds up to 14.5 m/s increasing with altitude, poor visibility, rain, and icing conditions. A significant no-fly zone is present at the center of the airspace, with an additional moving cylindrical no-fly zone drifting westward. The UAV must avoid a slow-moving spherical obstacle and maintain separation from another UAV on a crossing path. GNSS signals suffer from multipath and moderate jamming, while electromagnetic interference affects sensor reliability. The mission requires navigating a corridor of five waypoints within 600 seconds, leveraging thermal updrafts near (850, 620) for energy efficiency. Battery reserves are critical due to high drag and energy use in windy, cold conditions. An icing fault event occurs mid-mission, reducing aerodynamic efficiency for one minute. Communication experiences two brief downlink loss windows, requiring robust data handling and contingency planning.",Climb to 300 m for tailwind boost and thermal updraft access,Descend to 30 m AGL to minimize wind exposure and drag,Maintain current altitude and reduce airspeed to save energy,Increase angle of attack by 3° to compensate for lift loss,Pitch down 2° and increase speed to maintain Reynolds number,Execute immediate 180° turn to avoid icing zone,Hold level flight with fixed throttle to preserve battery,"[""Climb to 300 m for tailwind boost and thermal updraft access"", ""Descend to 30 m AGL to minimize wind exposure and drag"", ""Maintain current altitude and reduce airspeed to save energy"", ""Increase angle of attack by 3° to compensate for lift loss"", ""Pitch down 2° and increase speed to maintain Reynolds number"", ""Execute immediate 180° turn to avoid icing zone"", ""Hold level flight with fixed throttle to preserve battery""]","Increasing airspeed compensates for temporary lift loss due to icing by raising dynamic pressure and maintaining attached flow. Pitching down reduces angle of attack to avoid stall margin erosion while preserving control authority in turbulent, cold air. This balances energy use, aerodynamic efficiency, and time-critical navigation under reduced lift and high wind shear." 2025-11-01T18:05:35Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_glider_touch_and_go_33dfce7f3910_mcq.json,uavbench-mcq-v1,arctic_glider_touch_and_go,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"A glider UAV must perform a touch-and-go within 600 seconds, staying 30–300 m AGL, avoiding a no-fly cylinder, and maintaining 25 m separation in 8 m/s wind.","This mission involves a glider UAV performing a runway touch-and-go in arctic airspace. The flight occurs within a defined rectangular geofence with a minimum altitude of 30 meters AGL and a maximum of 300 meters. A no-fly zone cylinder is present near the runway, requiring careful navigation to avoid violations. The glider is equipped with standard sensors including GNSS, IMU, magnetometer, barometer, and an RGB camera, powered by a 320 Wh battery. Weather conditions include a steady 8 m/s wind from the west, gusts up to 4 m/s, and poor visibility due to dust. The mission follows a corridor pattern with five waypoints aligned along a 270-degree heading runway. The UAV must complete the circuit within a 600-second time budget while maintaining safe separation of at least 25 meters. GNSS multipath effects may be present near the ground due to the arctic environment and limited satellite visibility. Battery conservation is critical, with a 30% reserve required and energy use affected by drag and maneuvering. The UAV spawns at 100 meters altitude and must execute a successful touch-and-go landing approach and departure.",Descend immediately to 30 m to save energy and approach runway directly.,Fly straight to final waypoint at 100 m altitude to maintain GNSS accuracy.,"Follow corridor pattern at 150 m, sequencing approach to avoid no-fly zone and ensure separation.",Circle at spawn point until wind stabilizes to reduce navigation errors.,Reduce speed below 15 m/s to extend time for camera-based runway alignment.,Climb to 300 m to improve GNSS signal and delay approach until last 100 seconds.,"Split mission: perform landing only, aborting go-around to conserve battery.","[""Descend immediately to 30 m to save energy and approach runway directly."", ""Fly straight to final waypoint at 100 m altitude to maintain GNSS accuracy."", ""Follow corridor pattern at 150 m, sequencing approach to avoid no-fly zone and ensure separation."", ""Circle at spawn point until wind stabilizes to reduce navigation errors."", ""Reduce speed below 15 m/s to extend time for camera-based runway alignment."", ""Climb to 300 m to improve GNSS signal and delay approach until last 100 seconds."", ""Split mission: perform landing only, aborting go-around to conserve battery.""]","Following the corridor at 150 m balances altitude safety, GNSS reliability, and no-fly zone avoidance. It enables predictable trajectory for potential multi-agent coordination and maintains 25 m separation. This ensures timely, energy-efficient circuit completion within 600 seconds while preserving 30% battery and respecting environmental constraints." 2025-11-01T18:05:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_octocopter_mission_moving_nfz_ef7e317f3b22_mcq.json,uavbench-mcq-v1,arctic_octocopter_mission_moving_nfz,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"During Arctic icing at 120 m AGL with GNSS multipath and 14.5 m/s winds, how should navigation adapt?","This is an inspection mission conducted by an octocopter in Arctic airspace. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates within a defined corridor between 10 and 150 meters AGL, navigating around static and moving no-fly zones. A dynamic NFZ moves southwest at 2.7 m/s, requiring real-time path adaptation. The environment features strong winds up to 14.5 m/s increasing with altitude, gusts, snowfall, and icing conditions. GNSS signals suffer from multipath and moderate jamming, while electromagnetic interference is present. The UAV must avoid a moving spherical obstacle and maintain separation from other traffic. An icing fault event reduces performance for one minute midway through the mission. Communication experiences brief downlink outages, and battery reserves must be carefully managed. The mission concludes within a strict time budget, with success dependent on navigation accuracy and constraint adherence.",Prioritize GNSS due to stable corridor altitude,Switch entirely to IMU-only dead reckoning,Increase LiDAR weighting despite snowfall attenuation,Fuse visual odometry with IMU during GNSS outages,Rely on magnetic heading under electromagnetic interference,Use thermal-RGB fusion for altitude hold in snow,Disable sensors to reduce icing-induced noise,"[""Prioritize GNSS due to stable corridor altitude"", ""Switch entirely to IMU-only dead reckoning"", ""Increase LiDAR weighting despite snowfall attenuation"", ""Fuse visual odometry with IMU during GNSS outages"", ""Rely on magnetic heading under electromagnetic interference"", ""Use thermal-RGB fusion for altitude hold in snow"", ""Disable sensors to reduce icing-induced noise""]","GNSS suffers multipath and jamming, while IMU drifts rapidly in high winds. Visual odometry fused with IMU provides stable pose estimation during GNSS degradation. This maintains accuracy despite snowfall and short outages, leveraging redundancy without relying on compromised sensors." 2025-11-01T18:05:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_runway_incursion_haps_1b4003c23fce_mcq.json,uavbench-mcq-v1,arctic_runway_incursion_haps,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,"At 5,800 m AGL, 16 m/s winds and GNSS jamming at -95 dBm challenge a UAV inspecting an Arctic grid. What action balances navigation, energy, and swarm safety?","High-altitude pseudo-satellite UAV conducts an inspection mission in Arctic airspace. Operating between 3,000 and 6,000 meters AGL, it follows a grid pattern over a designated polygon. The UAV is equipped with radar, RGB and thermal cameras, and relies on GNSS/IMU navigation. Strong winds increase with altitude, reaching 16 m/s at 6,000 m, with gusts and poor visibility due to dust. A static no-fly zone and a moving no-fly cylinder challenge flight planning and dynamic avoidance. GNSS multipath, jamming at -95 dBm, and electromagnetic interference degrade navigation reliability. The mission requires runway landing aligned with a 450-meter threshold at heading 120 degrees. A three-UAV swarm operates with minimum 50-meter inter-vehicle separation and role specialization. Uplink/downlink experience brief communication dropouts, affecting command and data flow. Battery endurance and collision avoidance are critical under wind shear and traffic from another UAV.","Descend to 3,200 m to reduce wind exposure and improve GNSS signal",Maintain altitude and increase speed to 22 m/s for schedule adherence,"Climb to 6,000 m for clearer radar returns and reduced multipath",Halt propulsion and glide 90 seconds to conserve battery,Broadcast emergency separation protocol to reset swarm formation,Switch to IMU-only navigation and reduce camera payload power,Execute immediate landing at 120° heading despite downwind conditions,"[""Descend to 3,200 m to reduce wind exposure and improve GNSS signal"", ""Maintain altitude and increase speed to 22 m/s for schedule adherence"", ""Climb to 6,000 m for clearer radar returns and reduced multipath"", ""Halt propulsion and glide 90 seconds to conserve battery"", ""Broadcast emergency separation protocol to reset swarm formation"", ""Switch to IMU-only navigation and reduce camera payload power"", ""Execute immediate landing at 120° heading despite downwind conditions""]","Descending to 3,200 m reduces wind-induced power demand and improves GNSS reliability due to lower jamming and multipath effects. It maintains safe separation from the moving no-fly cylinder and supports coordinated swarm flight within energy limits. This balances aerodynamic efficiency, navigation accuracy, communication resilience, and mission continuity." 2025-11-01T18:05:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_medical_delivery_swarm_3a7e74c7c10a_mcq.json,uavbench-mcq-v1,arctic_medical_delivery_swarm,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"With 30% battery reserve and 45-second icing, which action maximizes delivery success within 10-minute corridor?","This scenario involves a swarm of four UAVs conducting a medical delivery mission in Arctic airspace. The flight occurs within a defined corridor between 10 and 150 meters AGL, bounded by a polygonal geofence with a central no-fly cylinder. Weather conditions include moderate wind at 8 m/s from 240°, increasing with altitude, along with snowfall, icing, and poor visibility. The UAVs are fixed-wing hybrid rotorcraft equipped with RGB and thermal cameras, powered by batteries with a 30% reserve requirement. The swarm must navigate GNSS signal degradation due to multipath and interference, as well as brief communication outages. A mid-mission icing event reduces performance for 45 seconds, increasing power demand and risk of stall. The UAVs must maintain at least 10 meters separation from each other and avoid a static no-fly zone near the center of the area. They follow a predefined corridor pattern with a time budget of 10 minutes, starting near a runway threshold and ending at a designated landing site. Key constraints include avoiding NFZ breaches, maintaining DAA minimum separation, managing battery depletion, and completing the mission despite environmental and system challenges.",Increase speed to exit icing zone early,Descend to reduce wind resistance and power use,Shed payload to cut weight and extend endurance,"Circle to wait out icing, using thermal for tracking",Climb for better GNSS signal and clearance,Split swarm to distribute risk and coverage,Cut camera power to conserve energy for flight,"[""Increase speed to exit icing zone early"", ""Descend to reduce wind resistance and power use"", ""Shed payload to cut weight and extend endurance"", ""Circle to wait out icing, using thermal for tracking"", ""Climb for better GNSS signal and clearance"", ""Split swarm to distribute risk and coverage"", ""Cut camera power to conserve energy for flight""]","Disabling non-essential sensors conserves power during high-demand icing, preserving battery for critical flight and return. It balances mission utility with the 30% reserve requirement. Other options increase power use or time, risking NFZ breach or battery depletion." 2025-11-01T18:05:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_runway_incursion_daa_quadrotor_17a7ffcfba57_mcq.json,uavbench-mcq-v1,arctic_runway_incursion_daa_quadrotor,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 80m AGL with GNSS jamming and 30% battery, what ensures safe navigation through the static NFZ?","This scenario involves a quadrotor UAV conducting an inspection mission in arctic airspace near a runway. The UAV operates within a defined corridor between 0 and 120 meters AGL, navigating around static and moving obstacles. Weather conditions include strong winds from the west, gusts, poor visibility, snowfall, and icing conditions that temporarily affect performance. The UAV is equipped with an RGB camera and relies on GNSS, IMU, magnetometer, and barometer for navigation, but faces GNSS multipath, jamming, and electromagnetic interference. A dynamic no-fly zone moves through the airspace, and a static NFZ blocks part of the flight path near the center. The mission includes five waypoints with a time budget of 10 minutes, avoiding the runway zone without requiring landing. Another UAV flies on a crossing path, requiring detect-and-avoid logic with a 25-meter separation threshold. Thermal updrafts near the destination may assist flight dynamics briefly. The UAV must manage battery reserves carefully under increased drag from icing and wind, while maintaining communication despite brief downlink losses.",Switch to encrypted IMU-barometer dead reckoning,Trust GNSS despite jamming; maintain heading,Disable encryption to reduce communication latency,Use magnetometer for primary heading control,Transmit unencrypted telemetry for faster updates,Rely solely on GNSS with spoofed signal correction,Activate open-loop actuator commands to save power,"[""Switch to encrypted IMU-barometer dead reckoning"", ""Trust GNSS despite jamming; maintain heading"", ""Disable encryption to reduce communication latency"", ""Use magnetometer for primary heading control"", ""Transmit unencrypted telemetry for faster updates"", ""Rely solely on GNSS with spoofed signal correction"", ""Activate open-loop actuator commands to save power""]","Encrypted IMU-barometer fusion maintains data integrity and availability during GNSS jamming. It preserves control stability by avoiding spoofed signals while conserving battery via trusted, authenticated navigation. Other options expose the UAV to spoofing, eavesdropping, or loss of control." 2025-11-01T18:05:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_heavy_lift_survey_f971b738468e_mcq.json,uavbench-mcq-v1,arctic_heavy_lift_survey,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 185 seconds, comms drop and GNSS spoofing is detected. Which action maintains separation from dynamic obstacles and geofence boundaries?","Heavy lift UAV conducts a survey mission in arctic airspace. Flight occurs within a defined polygonal geofence from 30 to 120 meters AGL. Persistent snowfall and icing conditions create hazardous weather. UAV is equipped with GNSS, IMU, lidar, RGB and thermal cameras. Payload includes 5 kg of survey instrumentation with moderate drag. A static no-fly zone blocks the central area; a dynamic one moves slowly. Another UAV and a descending spherical obstacle challenge separation. Minimum separation is 25 meters with a 15-second time-to-closest-approach. Mid-mission icing event at 240 seconds degrades performance for 60 seconds. Communication experiences brief uplink/downlink loss between 180–190 seconds.",Switch to IMU-lidar dead reckoning with encrypted uplink verification,Continue GNSS course using last known position,Descend immediately to 20 meters AGL to avoid collisions,Transmit unencrypted status burst to request ground override,Enable open-loop control based on preloaded geofence waypoints,Disable obstacle avoidance to reduce processor latency,Rely solely on RGB camera for navigation in snowfall,"[""Switch to IMU-lidar dead reckoning with encrypted uplink verification"", ""Continue GNSS course using last known position"", ""Descend immediately to 20 meters AGL to avoid collisions"", ""Transmit unencrypted status burst to request ground override"", ""Enable open-loop control based on preloaded geofence waypoints"", ""Disable obstacle avoidance to reduce processor latency"", ""Rely solely on RGB camera for navigation in snowfall""]","A- ensures continuity via sensor fusion while preserving data integrity through encrypted verification. It mitigates GNSS spoofing and comms loss by using trusted IMU-lidar navigation. Other options expose control to spoofing, single points of failure, or unsecured links." 2025-11-01T18:05:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_hexacopter_recon_f9cf46f763dc_mcq.json,uavbench-mcq-v1,arctic_hexacopter_recon,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"At 210s, during icing, with comms dropout at 220s, which altitude profile ensures coverage, safety, and comms for the hexacopter?","This is an arctic reconnaissance mission using a hexacopter UAV equipped with RGB and thermal cameras. The flight occurs in a designated rectangular airspace with a minimum altitude of 30 meters and a maximum of 120 meters AGL. Weather conditions include strong westerly winds at 8.5 m/s, gusts up to 4.2 m/s, poor visibility, and active snowfall with icing risk. The UAV is a battery-powered hexacopter with a total mass of 2.8 kg, including a 0.5 kg payload, and has a 450 Wh battery with a 30% reserve requirement. A static no-fly zone is present near the center of the area, and a second dynamic no-fly cylinder moves diagonally through the airspace. The mission involves completing a grid pattern over the area within a 600-second time limit, starting and ending near the spawn point. A single traffic UAV enters the airspace from the south, flying eastward at 70 meters altitude, requiring separation of at least 25 meters. The UAV must also avoid a moving spherical obstacle oscillating westward at 2 m/s. Icing conditions are expected between 200 and 260 seconds, reducing performance, and brief communication dropouts occur at 150 and 420 seconds.",Climb to 120 m for better comms and thermal coverage,Descend to 30 m to minimize wind resistance and save power,"Hold 80 m altitude, adjust speed to maintain grid timing",Enter no-fly zone to avoid moving obstacle and save time,Match dynamic obstacle speed and fly parallel below 25 m,"Ascend to 100 m, delay grid pass until after 260s icing ends",Descend to 40 m and increase speed to complete grid early,"[""Climb to 120 m for better comms and thermal coverage"", ""Descend to 30 m to minimize wind resistance and save power"", ""Hold 80 m altitude, adjust speed to maintain grid timing"", ""Enter no-fly zone to avoid moving obstacle and save time"", ""Match dynamic obstacle speed and fly parallel below 25 m"", ""Ascend to 100 m, delay grid pass until after 260s icing ends"", ""Descend to 40 m and increase speed to complete grid early""]","Maintaining 80 m balances wind resilience, sensor coverage, and battery use while staying clear of no-fly zones and traffic. It preserves formation geometry and timing for the grid, ensuring task completion within 600 s despite icing and upcoming comms dropout. Other options violate altitude limits, proximity rules, or disrupt coordination timing." 2025-11-01T18:05:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_swarm_mapping_high_temp_01c73cbc8e0e_mcq.json,uavbench-mcq-v1,arctic_swarm_mapping_high_temp,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"During a 90-second GNSS outage, the leader loses altitude control; which action maintains swarm integrity and mapping coverage with 4 UAVs?","This scenario involves a swarm UAV mapping mission in the Arctic airspace. The environment features strong winds increasing with altitude, gusts, and a risk of lightning. Four UAVs operate as a coordinated swarm with distinct roles: leader, follower, scout, and relay. Each UAV is equipped with RGB and thermal cameras for payload, relying on battery power with moderate endurance. The mission requires covering a grid pattern within a defined geofenced area, avoiding static and moving no-fly zones. A dynamic no-fly zone moves across the airspace, and a moving obstacle poses collision risks. GNSS jamming and motor failure faults are introduced, along with communication loss windows and electromagnetic interference. Despite good visibility, wind shear and thermal updrafts challenge flight stability. UAVs must maintain separation, avoid airspace violations, and complete mapping within time and battery limits.",Relay ascends to extend comms range and shares GPS via mesh,Scout abandons perimeter to replace leader's mapping task,Follower assumes leadership and commands fixed-wing glide,All UAVs execute immediate return-to-home on battery alert,Leader switches to visual-inertial nav while others close gaps,Relay drops altitude to reduce wind shear exposure,Scout enters dynamic no-fly zone to restore GNSS signal,"[""Relay ascends to extend comms range and shares GPS via mesh"", ""Scout abandons perimeter to replace leader's mapping task"", ""Follower assumes leadership and commands fixed-wing glide"", ""All UAVs execute immediate return-to-home on battery alert"", ""Leader switches to visual-inertial nav while others close gaps"", ""Relay drops altitude to reduce wind shear exposure"", ""Scout enters dynamic no-fly zone to restore GNSS signal""]","E ensures continuity by leveraging the leader's onboard navigation while followers adjust formation to maintain coverage and separation. Others violate coordination: B overloads scout, G breaches airspace, D wastes energy, A misallocates relay role, F disrupts comms, C ignores motor fault risk in glide." 2025-11-01T18:05:36Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_runway_touch_and_go_fixed_wing_b6581d2274c7_mcq.json,uavbench-mcq-v1,arctic_runway_touch_and_go_fixed_wing,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,Fixed-wing UAV lands on 400m runway at 310° in 14.5 m/s winds with icing; when should it initiate final approach to balance safety and timing?,"Fixed-wing UAV conducts touch-and-go landing mission on an arctic runway. Operating in a designated arctic airspace with a 400m-long runway aligned at 310 degrees. Weather includes poor visibility, active snowfall, icing conditions, and strong winds up to 14.5 m/s increasing with altitude. UAV is equipped with standard sensors (GNSS, IMU, magnetometer, barometer) and an RGB camera payload. Flight is constrained by a static no-fly zone near the runway and a moving no-fly cylinder drifting southwest. GNSS multipath effects and electromagnetic interference degrade navigation accuracy. A second UAV and a moving spherical obstacle introduce dynamic collision risks. Icing event reduces aerodynamic performance for one minute during the mission. Brief communication dropouts occur at 120s and 450s, challenging command reliability. Mission must complete within 600 seconds while maintaining safe separation and avoiding airspace violations.",Initiate at 180s to maximize margin for go-around,Initiate at 210s using GNSS-only guidance despite multipath,Initiate at 230s with camera-assisted alignment and de-icing active,Initiate at 250s to avoid moving obstacle but skip de-icing,Initiate at 220s using IMU-barometer fusion during comms dropout,Initiate at 200s with full thrust to counter wind shear,Initiate at 240s relying on magnetometer for heading in snowfall,"[""Initiate at 180s to maximize margin for go-around"", ""Initiate at 210s using GNSS-only guidance despite multipath"", ""Initiate at 230s with camera-assisted alignment and de-icing active"", ""Initiate at 250s to avoid moving obstacle but skip de-icing"", ""Initiate at 220s using IMU-barometer fusion during comms dropout"", ""Initiate at 200s with full thrust to counter wind shear"", ""Initiate at 240s relying on magnetometer for heading in snowfall""]","Initiating at 230s allows time to react to dynamic obstacles and communication dropouts while activating de-icing to preserve aerodynamic performance. Using camera-assisted alignment compensates for GNSS degradation and wind effects, ensuring precise runway alignment. This balances energy use, navigation accuracy, flight control, and timing within the 600s mission limit." 2025-11-01T18:05:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_thermal_updraft_training_fixed_wing_21055e43d513_mcq.json,uavbench-mcq-v1,arctic_thermal_updraft_training_fixed_wing,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,"UAV must reach waypoint W3 at 1,200 ft AGL within 4.5 min amid GNSS drift and a moving NFZ shifting north at 8 kt.","Fixed-wing UAV conducts Arctic thermal updraft training during a survey mission. Operating in a designated Arctic airspace with poor visibility and hazardous weather. Severe conditions include hail, icing, and strong winds increasing with altitude. UAV equipped with RGB and thermal cameras for environmental sensing. Mission involves navigating a corridor pattern while avoiding static and moving obstacles. No-fly zones include a fixed cylinder and a dynamically moving restricted zone. GNSS signals are degraded due to multipath and periodic jamming interference. Icing events and communication losses introduce system faults during flight. Thermal updrafts are present at specific locations to exploit for lift. Strict altitude, separation, and runway requirements govern safe operations.","Climb immediately to 1,500 ft to avoid icing layers and descend late to W3.","Fly direct bearing to W3, descending through 1,100 ft to conserve energy.","Delay ascent, track east then cut through NFZ edge to reach W3 on time.",Follow thermal updrafts south before arcing wide around NFZ to reach W3.,"Bank sharply at 30° to intercept W3 from downwind, descending from 1,300 ft.","Reroute west to bypass NFZ fully, maintaining 1,200 ft and using camera updates.",Hold current altitude and accelerate to arrive at W3 before NFZ encroachment.,"[""Climb immediately to 1,500 ft to avoid icing layers and descend late to W3."", ""Fly direct bearing to W3, descending through 1,100 ft to conserve energy."", ""Delay ascent, track east then cut through NFZ edge to reach W3 on time."", ""Follow thermal updrafts south before arcing wide around NFZ to reach W3."", ""Bank sharply at 30° to intercept W3 from downwind, descending from 1,300 ft."", ""Reroute west to bypass NFZ fully, maintaining 1,200 ft and using camera updates."", ""Hold current altitude and accelerate to arrive at W3 before NFZ encroachment.""]","Option F ensures NFZ compliance and maintains optimal altitude despite longer path. It uses visual-thermal updates to compensate for GNSS drift. Other choices violate altitude, NFZ, or timing constraints under wind and latency effects." 2025-11-01T18:05:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_warehouse_swarm_inspection_581aaedb11ab_mcq.json,uavbench-mcq-v1,arctic_warehouse_swarm_inspection,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"At 20 m AGL in gusty northwest winds, which action maintains 8-m separation and lift in low-density arctic air with GNSS degradation?","This is a swarm UAV inspection mission in an arctic environment near a warehouse. The airspace is confined between 1 and 25 meters AGL within a rectangular geofenced area. Weather includes moderate winds from the northwest, gusts, and thermal updrafts that affect flight dynamics. Five small quadcopter drones with RGB cameras and LiDAR payloads operate as a coordinated swarm, each equipped with GNSS, IMU, and other navigation sensors. The mission must avoid two no-fly zones, one static and one moving, while maintaining minimum 8-meter inter-drone separation. GNSS signals are degraded by multipath effects and moderate jamming, and electromagnetic interference is present. Drones follow a grid inspection pattern with a 10-meter safety buffer around obstacles and dynamic traffic. A single intruder UAV crosses the airspace, requiring detect-and-avoid compliance with 10-meter separation. Communication experiences brief downlink outages, and signal strength may drop to -88 dBm. The mission must complete within 600 seconds, return to the designated landing zone, and preserve at least 30% battery reserve.",Increase climb rate to 1.5 m/s for better obstacle clearance,Reduce airspeed to 3 m/s to enhance sensor accuracy,Bank angle exceed 35° for sharper swarm repositioning,Maintain 12 m/s forward speed to ensure control authority,Descend to 5 m AGL to minimize wind gust effects,Hover at reduced throttle to conserve battery in updrafts,Yaw rapidly to reorient cameras without lateral movement,"[""Increase climb rate to 1.5 m/s for better obstacle clearance"", ""Reduce airspeed to 3 m/s to enhance sensor accuracy"", ""Bank angle exceed 35° for sharper swarm repositioning"", ""Maintain 12 m/s forward speed to ensure control authority"", ""Descend to 5 m AGL to minimize wind gust effects"", ""Hover at reduced throttle to conserve battery in updrafts"", ""Yaw rapidly to reorient cameras without lateral movement""]","Maintaining 12 m/s ensures adequate airspeed for control surface effectiveness and lift generation in thin, cold air with gust rejection. Lower speeds risk stall due to reduced Reynolds number and inadequate lift; higher bank angles or yaws increase induced drag and destabilize the swarm. This speed balances thrust, drag, and lift while supporting swarm cohesion and navigation resilience under wind and sensor uncertainty." 2025-11-01T18:05:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_vtol_loiter_hot_3d3942138ad2_mcq.json,uavbench-mcq-v1,arctic_vtol_loiter_hot,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 800m AGL in 18 m/s winds, UAV detects battery degradation reducing reserve below 20%; should it continue, orbit, or land immediately?","This UAV mission is a survey operation conducted in arctic airspace with good visibility but active hail. The UAV is a battery-powered VTOL tiltrotor equipped with RGB and thermal cameras, lidar, and standard navigation sensors. It operates within a defined geofenced area bounded by 50–1200 meters AGL, avoiding two no-fly zones—one static and one moving. The moving obstacle and dynamic no-fly zone require real-time path adjustments to maintain safe separation. Winds increase with altitude, reaching 18 m/s from 300° at 1000 meters, with gusts up to 4 m/s near the surface. Thermal updrafts are present near the center of the area, potentially affecting flight stability. The UAV must perform runway-assisted takeoff and landing, following a transition profile between hover and fixed-wing flight. Communication experiences brief uplink/downlink outages, requiring resilient control during loss windows. The mission involves orbiting waypoints within a time budget, navigating around obstacles, and returning safely with sufficient battery reserve.",Continue mission; battery margin is still above minimum,Orbit current waypoint to reassess power consumption,Descend to 300m to reduce wind exposure and conserve power,Proceed to nearest landing zone outside geofence,"Abort and return via shortest path, ignoring thermal updrafts","Land immediately at current position, mid-mission",Request override from operator during next downlink window,"[""Continue mission; battery margin is still above minimum"", ""Orbit current waypoint to reassess power consumption"", ""Descend to 300m to reduce wind exposure and conserve power"", ""Proceed to nearest landing zone outside geofence"", ""Abort and return via shortest path, ignoring thermal updrafts"", ""Land immediately at current position, mid-mission"", ""Request override from operator during next downlink window""]","Descending to 300m reduces wind-induced power demand and leverages more stable air, preserving battery while maintaining control. Continuing risks critical power loss, while uncontrolled descent or landing violates safety and mission integrity. This balances operational safety, energy constraints, and adherence to flight envelope limits." 2025-11-01T18:05:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/arctic_wind_turbine_inspection_haps_8d8b61789327_mcq.json,uavbench-mcq-v1,arctic_wind_turbine_inspection_haps,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"At 2000 m AGL, 12 m/s westerly winds with 4 m/s gusts affect a UAV inspecting turbines amid icing and mild GNSS jamming.","High-altitude pseudo-satellite UAV conducts wind turbine inspection in Arctic airspace. Mission operates between 1000 and 3000 meters AGL within a defined polygonal geofence. Strong westerly winds increase with altitude, reaching 12 m/s at 2000 meters, with gusts up to 4 m/s. UAV is equipped with radar, RGB and thermal cameras for visual inspection under good visibility but icing conditions are present. Swarm of three UAVs coordinates with 50-meter minimum separation, fulfilling leader, scout, and relay roles. A cylindrical no-fly zone restricts access near the center of the airspace, requiring detour planning. Thermal updrafts and electromagnetic interference affect stability and communications. GNSS signals experience mild jamming but no multipath, while comms suffer brief uplink/downlink losses. The UAV must use a runway for takeoff and landing, transitioning between VTOL and forward flight. An icing fault event reduces performance for two minutes midway through the mission.",Rely solely on GNSS for positioning due to mild jamming,Switch to IMU-camera fusion using optical flow,Increase reliance on radar for altitude hold only,Use thermal camera to detect turbine updrafts for lift,Disable cameras; navigate via preloaded LiDAR map,Boost swarm separation to 100 meters to avoid collision,Enter loiter mode until GNSS signal fully stabilizes,"[""Rely solely on GNSS for positioning due to mild jamming"", ""Switch to IMU-camera fusion using optical flow"", ""Increase reliance on radar for altitude hold only"", ""Use thermal camera to detect turbine updrafts for lift"", ""Disable cameras; navigate via preloaded LiDAR map"", ""Boost swarm separation to 100 meters to avoid collision"", ""Enter loiter mode until GNSS signal fully stabilizes""]","GNSS jamming and wind disturbances degrade position accuracy, making sensor fusion essential. IMU-visual fusion with optical flow compensates for GNSS instability and maintains localization despite wind and icing. This method leverages available sensors robustly while preserving mission continuity under environmental stress." 2025-11-01T18:05:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_desert_fixed_wing_a1ddb3c8b5ea_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_desert_fixed_wing,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,E,False,"With 4.5 m/s gusts and GNSS loss at low battery, what action ensures safe off-runway landing alignment?","Fixed-wing UAV conducts a desert survey mission with a time-constrained corridor flight pattern. The airspace features a defined polygon geofence and a cylindrical no-fly zone near the center. A sandstorm reduces visibility and introduces wind gusts up to 4.5 m/s with increasing wind shear above ground level. GNSS multipath and electromagnetic interference degrade navigation, with a planned GNSS jamming fault occurring mid-mission. The UAV carries an RGB camera payload and relies on battery power, which is critically depleted leading to an emergency landing. Downlink communication is intermittently lost, limiting telemetry feedback during key phases. Traffic includes a single intruder UAV approaching from the southeast, requiring DAA compliance with 50-meter separation. Moving obstacles in the form of a drifting sphere challenge path safety in the survey zone. Emergency landing sites are designated in the northeast and far southeast, outside the main operational area. The mission requires a runway-aligned approach, but battery failure forces an off-runway landing attempt.",Increase airspeed to 15 m/s to counter wind shear,Deploy full flaps to maximize lift at low speed,Bank 45° to avoid drifting sphere obstacle rapidly,Reduce throttle to idle and dive for range extension,Maintain best glide speed with shallow bank turns,Pitch up 15° to reduce ground impact velocity,Circle at 30 m radius to await GNSS recovery,"[""Increase airspeed to 15 m/s to counter wind shear"", ""Deploy full flaps to maximize lift at low speed"", ""Bank 45° to avoid drifting sphere obstacle rapidly"", ""Reduce throttle to idle and dive for range extension"", ""Maintain best glide speed with shallow bank turns"", ""Pitch up 15° to reduce ground impact velocity"", ""Circle at 30 m radius to await GNSS recovery""]","Maintaining best glide speed optimizes lift-to-drag ratio under turbulent wind shear, preserving control authority. Shallow banks minimize load factor increase, preventing stall at low altitude. Other choices either induce stall, increase descent rate, or waste energy contrary to energy-limited emergency glide." 2025-11-01T18:05:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_fixed_wing_powerline_crosswind_08c8303a4b96_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_fixed_wing_powerline_crosswind,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,G,False,"During 40s GNSS jamming and partial motor failure, how should the UAV prioritize control and navigation under crosswind with 8 m/s gusts?","Fixed-wing UAV conducts powerline corridor inspection under crosswind conditions. Mission takes place in a constrained airspace with a defined polygon geofence and a cylindrical no-fly zone. Winds are from the west at 8 m/s with gusts up to 4 m/s, increasing slightly with altitude. The UAV is battery-powered, equipped with GNSS, IMU, camera, LiDAR, and a 1.5 kg inspection payload. A mid-mission GNSS jamming event lasts 40 seconds, degrading navigation accuracy. At the same time, a partial motor failure reduces propulsion efficiency. Downlink communication is lost between 400–430 seconds, limiting telemetry. An emergency landing site is available at the far end of the corridor. The UAV must avoid a moving spherical obstacle near the center of the area. Strict separation and DAA thresholds are enforced to avoid conflicts with another UAV flying westbound.",Switch to IMU-only navigation with reduced update rate,Increase reliance on unencrypted downlink for ground correction,Disable DAA thresholds to maintain original flight path,Engage open-loop steering using last known GNSS position,Activate authenticated encrypted datalink for attitude commands,Rely solely on LiDAR for position hold near powerlines,Execute emergency landing using inertial and barometric hold,"[""Switch to IMU-only navigation with reduced update rate"", ""Increase reliance on unencrypted downlink for ground correction"", ""Disable DAA thresholds to maintain original flight path"", ""Engage open-loop steering using last known GNSS position"", ""Activate authenticated encrypted datalink for attitude commands"", ""Rely solely on LiDAR for position hold near powerlines"", ""Execute emergency landing using inertial and barometric hold""]","G maintains control stability using sensor fusion from IMU and barometer when GNSS is compromised. It ensures availability and integrity by avoiding untrusted or unsecured links. The emergency landing preserves safety under propulsion loss and communication blackout, mitigating both cyber and physical risks." 2025-11-01T18:05:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_desert_hexacopter_c4c6c13ca9ea_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_desert_hexacopter,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,"With 30% battery reserve, 600s mission limit, and two UAVs at 25m separation, what action prioritizes safety during downlink loss?","Hexacopter UAV conducts a desert survey mission in poor visibility with dust and moderate winds. The flight occurs in a geofenced rectangular zone with a central cylindrical no-fly zone. A moving spherical obstacle drifts westward at 2 m/s, requiring real-time avoidance. The UAV carries an RGB camera and LiDAR payload, relying on GNSS, IMU, and barometric sensors. Battery capacity is 1200 Wh, with a 30% reserve, limiting flight endurance. An emergency landing site is designated at the southeast corner. A second UAV enters from the north, moving westbound at 12 m/s, enforcing separation requirements. Communication experiences two brief downlink loss periods. The mission must complete within 600 seconds while maintaining at least 25-meter separation and avoiding GNSS multipath near obstacles. Success depends on battery management, obstacle avoidance, and adherence to airspace constraints.",Continue survey toward central no-fly zone,Descend immediately for emergency landing,Climb to avoid moving spherical obstacle,"Maintain course, relying on GNSS for avoidance","Abort mission, head to southeast landing site",Increase speed to complete survey faster,"Transmit data burst, ignore obstacle drift","[""Continue survey toward central no-fly zone"", ""Descend immediately for emergency landing"", ""Climb to avoid moving spherical obstacle"", ""Maintain course, relying on GNSS for avoidance"", ""Abort mission, head to southeast landing site"", ""Increase speed to complete survey faster"", ""Transmit data burst, ignore obstacle drift""]","During downlink loss, autonomous decision-making is compromised; continuing risks collision or geofence violation. E ensures safety by proactively returning to the designated emergency site, preserving human life and aircraft integrity while respecting battery and separation limits." 2025-11-01T18:05:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_desert_gusts_helicopter_b82cab3a5de2_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_desert_gusts_helicopter,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 8 m/s westerly wind with gusts to 4.5 m/s, 30% reserve battery, and 400s comms loss, which action balances energy, control, and obstacle avoidance?","Mission is a survey in desert airspace using a battery-powered helicopter UAV with RGB camera payload. The UAV operates within a 120-meter AGL ceiling, navigating a predefined corridor pattern while avoiding static and moving obstacles. Weather includes strong westerly winds at 8 m/s with gusts up to 4.5 m/s, increasing with altitude. The environment features GNSS multipath effects and dynamic no-fly zones, one of which moves across the area. The UAV must maintain separation from another traffic UAV and a moving spherical obstacle. A communication link loss occurs at 400 seconds, lasting 30 seconds, challenging control reliability. Emergency landing sites are available if battery or flight safety issues arise. The helicopter has a reserve battery fraction of 30% and limited endurance due to high power consumption in gusty conditions. Flight is constrained by geofenced boundaries and a central cylindrical no-fly zone near the mission path. Mission success depends on completing waypoints within time and battery limits while avoiding breaches and collisions.",Climb to 110m AGL for smoother airflow,Descend to 30m AGL to reduce wind exposure,Maintain 80m AGL and reduce speed by 15%,Increase speed to exit corridor early,Circle at current position until comms restore,Head to emergency landing site immediately,Ascend rapidly to 120m AGL to clear moving obstacle,"[""Climb to 110m AGL for smoother airflow"", ""Descend to 30m AGL to reduce wind exposure"", ""Maintain 80m AGL and reduce speed by 15%"", ""Increase speed to exit corridor early"", ""Circle at current position until comms restore"", ""Head to emergency landing site immediately"", ""Ascend rapidly to 120m AGL to clear moving obstacle""]","Maintaining 80m AGL balances wind gust effects and obstacle clearance while reducing speed conserves energy and ensures control during 30-second comms loss. It avoids GNSS multipath at lower altitudes and preserves battery above reserve threshold. This choice satisfies aerodynamic stability, navigation reliability, energy constraints, and separation from dynamic obstacles." 2025-11-01T18:05:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_helicopter_warehouse_075ef957a2b5_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_helicopter_warehouse,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 7 minutes, motor fails (70% thrust loss); battery at 45%. Prioritize: complete mission, avoid moving obstacle, reach emergency landing.","This scenario involves a helicopter UAV conducting an indoor inspection mission within a warehouse airspace. The UAV is equipped with a battery-powered rotorcraft system and carries a payload with RGB camera and LiDAR sensors. It operates under moderate wind conditions with gusts, inside a confined polygonal geofenced area. A cylindrical no-fly zone is centrally located, restricting flight path options. The mission follows a corridor inspection pattern with five waypoints and a 10-minute time budget. An emergency landing site is designated near the perimeter for contingencies. A moving spherical obstacle travels horizontally through the space, requiring dynamic avoidance. At 7 minutes into the mission, a partial motor failure occurs, reducing propulsion efficiency by 70% for one minute. The UAV must manage battery reserves, maintain separation from obstacles, and handle GNSS-denied indoor conditions using onboard sensors.","Continue to next waypoint, then divert to emergency site","Climb to clear obstacle, proceed on corridor path","Descend immediately, hover to conserve power","Abort mission, fly direct to emergency landing",Increase speed to finish inspection before battery drops,Circle near current position to wait out motor failure,Fly through center no-fly zone to shorten return path,"[""Continue to next waypoint, then divert to emergency site"", ""Climb to clear obstacle, proceed on corridor path"", ""Descend immediately, hover to conserve power"", ""Abort mission, fly direct to emergency landing"", ""Increase speed to finish inspection before battery drops"", ""Circle near current position to wait out motor failure"", ""Fly through center no-fly zone to shorten return path""]",Motor failure reduces thrust and increases power demand; continuing wastes energy and risks losing control near obstacles. Immediate abort ensures safe landing within battery margin while respecting geofence and obstacle constraints. 2025-11-01T18:05:37Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_forest_12d94a011ec5_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_forest,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During 45s GNSS jamming and downlink loss, how should the UAV maintain control and avoid a drifting obstacle moving at 2 m/s?","Search and rescue mission in a forested area with poor visibility due to low-visibility weather conditions and moderate wind from 240 degrees. The UAV is an amphibious battery-powered hexacopter equipped with RGB and thermal cameras, LiDAR, and full avionics suite. Flight occurs within a defined airspace polygon, between 5 and 120 meters AGL, with a cylindrical no-fly zone near the center. A forced emergency landing is triggered due to a battery fault, requiring use of a designated emergency site in the forest. GNSS jamming occurs mid-mission, lasting 45 seconds, degrading navigation accuracy and increasing reliance on other sensors. Downlink communication is lost during the same period, limiting telemetry transmission to ground control. Another UAV is present in the airspace, moving westward at 15 m/s, requiring separation maintenance above 25 meters. A moving spherical obstacle drifts leftward at 2 m/s, posing a dynamic collision hazard near a waypoint. The mission must be completed within 600 seconds, with a runway required for any nominal return, though not used in this emergency case. Battery reserve is set at 30%, and energy consumption is modeled with hover, drag, and maneuvering losses affecting endurance.",Switch to LiDAR-aided inertial navigation with encrypted sensor fusion,Rely solely on thermal camera for obstacle detection and course correction,Enter hover mode using unverified GNSS until signal recovery,Transmit unencrypted telemetry bursts to regain ground contact,Disable cybersecurity protocols to reduce control loop latency,Follow last known GPS waypoint without sensor cross-checking,Descend immediately to 5 meters using RGB-only terrain tracking,"[""Switch to LiDAR-aided inertial navigation with encrypted sensor fusion"", ""Rely solely on thermal camera for obstacle detection and course correction"", ""Enter hover mode using unverified GNSS until signal recovery"", ""Transmit unencrypted telemetry bursts to regain ground contact"", ""Disable cybersecurity protocols to reduce control loop latency"", ""Follow last known GPS waypoint without sensor cross-checking"", ""Descend immediately to 5 meters using RGB-only terrain tracking""]","A ensures resilient navigation by fusing LiDAR with inertial data, preserving integrity during GNSS denial. Encryption maintains link security without compromising control stability. It enables dynamic obstacle avoidance while upholding cyber-physical safety under jamming." 2025-11-01T18:05:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_forest_icing_solar_wing_7d498db8dba5_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_forest_icing_solar_wing,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,E,False,"At 120 m AGL, 8 m/s wind from 240°, and ice accumulation increasing drag by 40%, what action maintains lift-to-drag ratio and avoids stall?","Solar-powered fixed-wing UAV conducting a survey mission in a forested airspace. Mission includes a grid pattern over a 500x500 meter area with altitude limits between 10 and 120 meters AGL. Weather features poor visibility, 8 m/s winds from 240°, gusts up to 4.5 m/s, and in-flight icing conditions. The UAV is equipped with RGB camera payload and standard navigation sensors but lacks lidar and thermal imaging. Key constraints include a static no-fly zone at the center and a moving no-fly zone drifting northwest. Additional hazards include GNSS multipath effects and a 45-second GNSS jamming event starting at 300 seconds. A separate UAV and a moving spherical obstacle create dynamic collision risks. The mission requires a runway landing, but an icing-induced battery emergency forces consideration of emergency landing sites. Operator must manage battery reserve (30%) under increased drag from ice accumulation and degraded GNSS. Mission success depends on avoiding NFZs, maintaining separation, and landing safely despite environmental and system faults.",Increase angle of attack by 3° to regain lift,Reduce airspeed to 14 m/s to minimize drag,Descend to 15 m AGL to escape icing layer,Bank 30° into wind to improve ground track,Pitch down 2° and increase throttle by 25%,Hold level flight at constant angle of attack,Climb to 130 m AGL for smoother airflow,"[""Increase angle of attack by 3° to regain lift"", ""Reduce airspeed to 14 m/s to minimize drag"", ""Descend to 15 m AGL to escape icing layer"", ""Bank 30° into wind to improve ground track"", ""Pitch down 2° and increase throttle by 25%"", ""Hold level flight at constant angle of attack"", ""Climb to 130 m AGL for smoother airflow""]","Ice accumulation increases weight and drag, requiring higher thrust to maintain lift and avoid stall. Pitching down reduces angle of attack, preventing stall while increased thrust compensates for drag. This balances lift, thrust, and drag at safe airspeed and avoids control degradation in icing." 2025-11-01T18:05:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_forest_sandstorm_874285c83613_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_forest_sandstorm,minimax/minimax-m1,9,Comparative System Reasoning,7,?,E,False,"A quadrotor with 320 Wh battery, 0.3 kg payload, and lidar faces a sandstorm, moving obstacle, and 8 m/s wind. Which configuration ensures mission success with fault tolerance?","This is a delivery mission in a forested area with a sandstorm reducing visibility. The UAV is a quadrotor with a battery power source and a 320 Wh capacity, carrying a 0.3 kg payload equipped with RGB camera and lidar. It operates within an airspace bounded from 5 to 120 meters AGL, confined by a polygonal geofence. A no-fly zone is defined as a cylinder near the center of the area, extending up to 50 meters in altitude. The UAV must avoid a moving spherical obstacle and maintain separation of at least 10 meters from other traffic. Wind is blowing at 8 m/s from 240 degrees with gusts up to 4 m/s, challenging flight stability. GNSS signals may suffer from multipath due to the forest environment, and the UAV loses downlink communication during a critical phase. An emergency landing site is designated in case of battery failure or system faults. A lost-link fault is triggered at 300 seconds, simulating a communication outage that impacts control and monitoring.",Lightweight foam frame; no redundancy; minimal sensors,Dual GNSS modules; single battery; standard propellers,Fixed-pitch propellers; no lidar; RGB-only navigation,Single flight computer; mechanical obstacle bumper,Redundant IMU and GNSS; obstacle-aware replanning,High-gain antenna; no emergency landing protocol,Increased payload bay; no wind compensation algorithm,"[""Lightweight foam frame; no redundancy; minimal sensors"", ""Dual GNSS modules; single battery; standard propellers"", ""Fixed-pitch propellers; no lidar; RGB-only navigation"", ""Single flight computer; mechanical obstacle bumper"", ""Redundant IMU and GNSS; obstacle-aware replanning"", ""High-gain antenna; no emergency landing protocol"", ""Increased payload bay; no wind compensation algorithm""]","Redundant IMU and GNSS improve reliability under GNSS multipath and lost-link conditions. Obstacle-aware replanning is critical for avoiding the moving sphere and sandstorm-reduced visibility. This option balances fault tolerance, navigation accuracy, and dynamic obstacle avoidance within energy and payload constraints." 2025-11-01T18:05:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_glider_industrial_81dac595307f_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_glider_industrial,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 110m AGL, UAV detects battery at 18%, 8 m/s winds from 240°, and 150m northbound moving obstacle. What immediate action minimizes risk?","This is an inspection mission using a battery-powered glider UAV equipped with RGB camera payload in an industrial plant airspace. The UAV operates within a confined 200m x 150m geofenced area, with altitude restricted between 10m and 120m AGL. Winds are strong at 8 m/s from 240° with gusts up to 4.5 m/s, increasing with altitude, and a microburst risk is present. A no-fly zone cylinder is located near the center of the area, requiring careful navigation. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV flying through the airspace. GNSS signals are degraded due to multipath effects and electromagnetic interference, with a brief communication link loss fault triggered during flight. Thermal updrafts are present near the industrial structures, which the glider may exploit. The mission requires runway-aligned takeoff and landing, with an emergency landing site available. Battery endurance is critical, with a reserve fraction of 15% and limited energy due to wind and maneuvering. The scenario emphasizes safe forced landing procedures under power loss and challenging environmental conditions.",Descend to 15m AGL and proceed to inspection point,Climb to 120m AGL to exploit stronger updrafts,"Turn east to avoid obstacle, maintain current altitude",Initiate emergency landing at alternate site now,Hold position at 110m AGL until obstacle passes,Increase speed toward target using full power,Descend to 20m AGL and align with runway for landing,"[""Descend to 15m AGL and proceed to inspection point"", ""Climb to 120m AGL to exploit stronger updrafts"", ""Turn east to avoid obstacle, maintain current altitude"", ""Initiate emergency landing at alternate site now"", ""Hold position at 110m AGL until obstacle passes"", ""Increase speed toward target using full power"", ""Descend to 20m AGL and align with runway for landing""]","Battery at 18% is below reserve margin when accounting for wind and maneuvering losses, requiring immediate return. Descending to 20m AGL uses lower wind gradients and prepares for runway-aligned landing. Other options risk separation, endurance, or delay critical landing." 2025-11-01T18:05:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_glider_bridge_site_430fbc4d6e43_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_glider_bridge_site,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"At 320 s, GNSS fails for 45 s with 7.5 m/s wind from 240°; battery is 140 Wh. What should the UAV prioritize?","This scenario involves a glider UAV conducting an inspection mission at a bridge site within a defined urban airspace. The UAV is battery-powered with a 320 Wh capacity and carries a visual camera payload for imaging. It operates under good visibility but faces moderate wind at 7.5 m/s from 240 degrees with gusts up to 4.2 m/s. The flight envelope is restricted between 10 m and 120 m AGL, within a rectangular geofenced area. A cylindrical no-fly zone of 20 m radius and 60 m height is centered at (100, 75), requiring careful navigation. The mission includes a waypoint corridor pattern to inspect key bridge structures within a 600-second time limit. An emergency landing site is available at the far end of the airspace, though a runway is preferred and required for nominal operations. Midway through the mission at 320 seconds, a GNSS jamming fault occurs, lasting 45 seconds and disrupting positioning. Additionally, communication experiences a brief downlink loss between 310 and 355 seconds, while a moving spherical obstacle drifts westward near the inspection path, demanding obstacle avoidance.",Climb to 120 m for better wind clearance,Descend to 15 m to reduce gust impact,Hold position at current altitude using IMU,Return to runway via shortest safe path,Continue waypoint corridor with vision-aided navigation,Land immediately at emergency site,Increase speed to exit jamming zone quickly,"[""Climb to 120 m for better wind clearance"", ""Descend to 15 m to reduce gust impact"", ""Hold position at current altitude using IMU"", ""Return to runway via shortest safe path"", ""Continue waypoint corridor with vision-aided navigation"", ""Land immediately at emergency site"", ""Increase speed to exit jamming zone quickly""]","Vision-aided navigation compensates for GNSS loss while maintaining mission progress within energy and obstacle constraints. It balances aerodynamic stability in wind, avoids the no-fly zone, and preserves sufficient power (140 Wh) for 275 s remaining. Other options either risk collision, waste energy, or abandon mission prematurely under recoverable fault conditions." 2025-11-01T18:05:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_mountainous_hot_0ec3a99044d8_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_mountainous_hot,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Quadrotor faces 8 m/s winds, 0.3 kg payload, and motor failure at 320 s. How to maximize mission endurance and safety?","Quadrotor UAV conducts a mountainous terrain survey mission under strong winds and gusts. The flight occurs in a designated mountainous airspace with good visibility and no precipitation. Wind speed reaches 8 m/s from 240 degrees with 4 m/s gusts, impacting stability and energy use. The UAV is a battery-powered quadrotor equipped with GNSS, IMU, lidar, RGB camera, and barometer. Payload includes a 0.3 kg sensor suite with moderate aerodynamic drag. A static no-fly zone and a moving no-fly cylinder must be avoided during flight. Dynamic moving obstacles and another UAV traffic pose collision risks requiring separation monitoring. GNSS multipath effects are likely due to mountainous terrain and nearby obstacles. Battery degradation and a simulated motor failure at 320 seconds challenge flight safety. An emergency landing may be required, with designated sites available outside the main route.",Increase rotor speed to counteract wind gusts and maintain altitude,Descend to lower altitude to reduce wind exposure and save power,Disable lidar to save power and rely solely on GNSS for navigation,Jettison 0.3 kg sensor suite to reduce load and extend flight time,Enter hover mode until wind speed reduces below 5 m/s,Activate emergency landing immediately at nearest site,Reduce camera frame rate and slow forward speed to balance energy and mission,"[""Increase rotor speed to counteract wind gusts and maintain altitude"", ""Descend to lower altitude to reduce wind exposure and save power"", ""Disable lidar to save power and rely solely on GNSS for navigation"", ""Jettison 0.3 kg sensor suite to reduce load and extend flight time"", ""Enter hover mode until wind speed reduces below 5 m/s"", ""Activate emergency landing immediately at nearest site"", ""Reduce camera frame rate and slow forward speed to balance energy and mission""]","Reducing camera frame rate lowers power consumption while slowing forward speed improves stability and reduces corrective thrust, conserving battery. This balances mission data quality and energy use, allowing safe continuation despite motor failure and wind. Other options either waste energy, abandon mission objectives, or increase risk." 2025-11-01T18:05:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_haps_fog_5cd0f1335f6d_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_haps_fog,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"UAV at 300 m must reach final waypoint within 600 s, avoid NFZs, and land after GNSS fails at 400 s and battery fault at 500 s.","High-altitude pseudo-satellite UAV conducts an inspection mission over a wind farm in poor visibility due to fog. The aircraft operates between 50 and 600 meters AGL, navigating a defined corridor with time-critical constraints. It is equipped with radar, RGB camera, and standard navigation sensors but faces GNSS multipath and electromagnetic interference. Strong westerly winds increase with altitude, peaking at 15 m/s at 500 m, with gusts up to 4 m/s. A no-fly zone is present near the center of the airspace, and a second dynamic no-fly zone moves across the area. The UAV spawns at 300 m altitude and must complete its waypoint route within 600 seconds. A traffic UAV crosses the path from east to west, while a moving spherical obstacle drifts through the domain. At 400 seconds, GNSS jamming occurs, followed by a critical battery fault at 500 seconds forcing an emergency landing. Downlink communication fails temporarily, and visual conditions remain poor throughout. The UAV must avoid collisions, respect separation thresholds, and land at an emergency site due to power loss.",Climb to 600 m for clearer GNSS and reduced wind drag,Descend to 50 m AGL immediately after GNSS jamming,"Maintain 300 m altitude, follow pre-planned route precisely",Reroute eastward to avoid moving obstacle and NFZ overlap,Turn north to bypass dynamic NFZ with 150 m lateral margin,Accelerate westward through corridor center to save time,"Descend to 100 m and divert south, avoiding obstacles and NFZs","[""Climb to 600 m for clearer GNSS and reduced wind drag"", ""Descend to 50 m AGL immediately after GNSS jamming"", ""Maintain 300 m altitude, follow pre-planned route precisely"", ""Reroute eastward to avoid moving obstacle and NFZ overlap"", ""Turn north to bypass dynamic NFZ with 150 m lateral margin"", ""Accelerate westward through corridor center to save time"", ""Descend to 100 m and divert south, avoiding obstacles and NFZs""]","Descending to 100 m reduces exposure to high winds and maintains better sensor reliability amid GNSS failure. It enables safe deviation south, avoiding both static and dynamic NFZs while preserving energy for emergency landing. Other options risk collision, violate time constraints, or increase drift due to wind or interference." 2025-11-01T18:05:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_helicopter_industrial_dust_d39352b76a67_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_helicopter_industrial_dust,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"Given 60m visibility, moderate wind increasing with altitude, and GNSS degraded by multipath, which navigation strategy ensures safe inspection under sensor constraints?","Helicopter UAV conducts an industrial inspection mission within a fenced plant area. Flight occurs in low-visibility conditions due to airborne dust with moderate winds increasing with altitude. The UAV is battery-powered, carrying RGB and thermal cameras plus LiDAR for sensor-based navigation. A static no-fly zone blocks the central plant area, while a moving no-fly zone drifts slowly nearby. An additional dynamic obstacle moves through the airspace, requiring real-time avoidance. GNSS signals are degraded by multipath and interference, complicating positioning accuracy. Electromagnetic interference and periodic comms loss affect uplink reliability during flight. Mid-mission faults include a temporary data link loss and partial motor failure. Two emergency landing zones are available in case of battery or system failure. Strict separation thresholds and geofencing require careful trajectory planning and risk mitigation.",Rely solely on GNSS with Kalman filtering for position updates,Use LiDAR-only SLAM for obstacle mapping in dusty conditions,"Fuse IMU with visual odometry and LiDAR, down-weighting GNSS during multipath",Depend on thermal camera to guide flight through low visibility,Switch to magnetometer-based heading during comm link loss,Increase altitude to reduce dust interference using GNSS primarily,"Navigate via RGB camera only, assuming static lighting conditions","[""Rely solely on GNSS with Kalman filtering for position updates"", ""Use LiDAR-only SLAM for obstacle mapping in dusty conditions"", ""Fuse IMU with visual odometry and LiDAR, down-weighting GNSS during multipath"", ""Depend on thermal camera to guide flight through low visibility"", ""Switch to magnetometer-based heading during comm link loss"", ""Increase altitude to reduce dust interference using GNSS primarily"", ""Navigate via RGB camera only, assuming static lighting conditions""]","IMU-visual-LiDAR fusion compensates for GNSS multipath and low visibility by leveraging redundancy and cross-sensor consistency. It maintains localization integrity despite dust-induced RGB degradation and dynamic obstacles. This approach adaptively weights reliable sensors, ensuring robustness during comms loss and wind-induced drift." 2025-11-01T18:05:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_solar_wing_rural_crosswind_9ed139ffaed5_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_solar_wing_rural_crosswind,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"At 300 s, comms fail and wind increases to 14 m/s at 200 m; how should the UAV adjust its approach to the emergency landing zone?","This scenario involves a fixed-wing solar-powered UAV conducting a rural survey mission in crosswind conditions. The flight occurs in a rural airspace with a maximum altitude of 150 m AGL and a minimum of 10 m AGL. Winds are strong, increasing from 8.5 m/s at ground level to 14 m/s at 200 m, with direction shifting from 240° to 270°. The UAV is equipped with standard navigation sensors and an RGB camera payload but no LiDAR or radar. A static no-fly zone is present at the center of the area, and a dynamic no-fly zone moves near the mission path. Another UAV and a moving spherical obstacle create traffic and collision risks. At 300 seconds, a communication link loss occurs, followed by a critical battery fault at 400 seconds, forcing an emergency landing. The UAV must navigate to the designated emergency landing site while maintaining separation from obstacles and other traffic. GNSS multipath is not a major issue, but reduced downlink and temporary uplink loss challenge command and control.",Climb to 150 m for better signal reception and glide downwind,Descend to 10 m AGL immediately to avoid crosswind drift,Maintain 100 m AGL and reposition upwind of landing zone,Turn 90° right to exploit tailwind for faster descent,Enter holding pattern at 80 m while awaiting uplink restore,"Proceed directly at 60 m AGL, adjusting crab angle for 270° wind",Request relay via other UAV despite link loss; delay descent,"[""Climb to 150 m for better signal reception and glide downwind"", ""Descend to 10 m AGL immediately to avoid crosswind drift"", ""Maintain 100 m AGL and reposition upwind of landing zone"", ""Turn 90° right to exploit tailwind for faster descent"", ""Enter holding pattern at 80 m while awaiting uplink restore"", ""Proceed directly at 60 m AGL, adjusting crab angle for 270° wind"", ""Request relay via other UAV despite link loss; delay descent""]","F balances wind compensation, obstacle clearance, and energy constraints. It maintains safe altitude above minimum 10 m AGL while using crab angle to counteract 270° crosswind, ensuring precise landing approach. Other options either risk control loss, violate altitude bounds, or depend on unreliable communication." 2025-11-01T18:05:38Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_hexacopter_rural_rain_1a35086855a3_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_hexacopter_rural_rain,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"During mid-mission icing and GNSS loss at 6 m/s wind with 4 m/s gusts, what action maintains safety within 25 m separation and 250 m AGL limit?","Hexacopter UAV conducts a rural survey mission under poor visibility and rain with icing conditions. Flight occurs in controlled rural airspace with a geofenced operational area and static no-fly zone. Dynamic no-fly zone and moving obstacle drift through the environment during the mission. UAV is equipped with RGB camera payload and relies on GNSS, IMU, and other standard sensors. Weather includes steady wind at 6 m/s and gusts up to 4 m/s, with increasing wind speed and shift in direction at altitude. Battery-powered flight faces energy depletion risk due to high hover power and added drag. Mid-mission icing event increases drag and reduces lift, impacting flight performance. GNSS jamming event and communication loss windows challenge navigation and control. Separation threshold of 25 meters applies to nearby UAV traffic on converging path. Forced landing may be required due to battery reserve limits or fault conditions.",Climb to 300 m AGL to avoid dynamic no-fly zone,Continue original path using IMU-only navigation,Descend to 200 m AGL and divert toward geofenced edge,Hover at current position until GNSS signal returns,Increase speed to exit icing zone rapidly,Turn back and land at departure runway immediately,Descend to 150 m AGL then proceed to nearest safe landing zone,"[""Climb to 300 m AGL to avoid dynamic no-fly zone"", ""Continue original path using IMU-only navigation"", ""Descend to 200 m AGL and divert toward geofenced edge"", ""Hover at current position until GNSS signal returns"", ""Increase speed to exit icing zone rapidly"", ""Turn back and land at departure runway immediately"", ""Descend to 150 m AGL then proceed to nearest safe landing zone""]","Descending to 150 m AGL reduces exposure to increasing winds and icing at higher altitudes while maintaining margin below 250 m AGL. Diverting to the nearest safe landing zone conserves energy and avoids the dynamic no-fly zone, adhering to separation and endurance constraints better than hovering or climbing." 2025-11-01T18:05:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_hexacopter_warehouse_e0d731fa0951_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_hexacopter_warehouse,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 420s, motor fails (80% severity) at (30m, 22m, 8m); battery at 45%. Should the UAV prioritize immediate landing or fault mitigation?","This scenario involves a hexacopter UAV performing an indoor inspection mission inside a warehouse. The UAV is equipped with a battery-powered electric propulsion system and carries a payload with RGB camera and LiDAR sensors. The mission follows a corridor pattern across four waypoints within a 50m x 40m geofenced area, with altitude restricted between 0.5m and 12m AGL. A cylindrical no-fly zone of 5m radius is centered at (25m, 20m) with vertical limits from 1m to 10m. Light wind of 1.5 m/s from 90 degrees and minor gusts are present, though indoor conditions remain stable with good visibility. The UAV begins with a full 520 Wh battery and must manage energy carefully, reserving 30% for safety. At 420 seconds into the mission, a motor failure occurs with 80% severity, simulating a partial propulsion fault. An emergency landing zone is designated at (45m, 35m, 0.5m) in case of critical battery depletion or system failure. GNSS signals may experience multipath interference due to the indoor environment, requiring reliance on sensor fusion for navigation and obstacle avoidance.",Continue to next waypoint; mission integrity is critical,Descend immediately to 0.5m and hover for assessment,Fly directly to emergency landing zone at full speed,Climb to 12m for safer fault diagnosis and clearance,Return along planned route to minimize navigation risk,Land at nearest safe spot ignoring geofence boundaries,Maintain altitude and reduce speed to conserve energy,"[""Continue to next waypoint; mission integrity is critical"", ""Descend immediately to 0.5m and hover for assessment"", ""Fly directly to emergency landing zone at full speed"", ""Climb to 12m for safer fault diagnosis and clearance"", ""Return along planned route to minimize navigation risk"", ""Land at nearest safe spot ignoring geofence boundaries"", ""Maintain altitude and reduce speed to conserve energy""]","An 80% motor failure poses high risk of loss of control; continuing or hovering endangers assets and personnel. Flying directly to the designated emergency zone balances safety, proximity, and controlled descent under partial propulsion, minimizing harm while adhering to operational protocols." 2025-11-01T18:05:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_helicopter_powerline_cold_bc3f47946dc0_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_helicopter_powerline_cold,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,F,False,"At 320s, icing reduces efficiency; battery at 720 Wh used. Which action maximizes mission completion within 1200 Wh and avoids moving NFZ?","Helicopter UAV conducts powerline corridor inspection in cold weather with icing conditions. Operating in a restricted airspace with static and moving no-fly zones. Wind increases with altitude, gusting up to 4 m/s, and thermal updrafts are present. UAV is battery-powered with a 1200 Wh capacity and carries RGB and thermal cameras. Mission requires navigating four waypoints while avoiding obstacles and traffic. GNSS multipath and intermittent jamming degrade navigation accuracy. Icing event reduces performance at 320 seconds, followed by GNSS jamming at 400 seconds. Emergency landing sites are available due to battery reserve and fault risks. Dynamic obstacle and moving NFZ require real-time path adjustments. Communication dropouts occur between 380–410 seconds, challenging command links.","Increase altitude to avoid obstacles, full camera power","Descend to warmer air, disable thermal camera","Maintain altitude, increase speed to save time","Circle waypoint, wait for GNSS recovery","Abort mission, return at maximum thrust","Switch to low-power GPS mode, reduce imaging rate","Fly direct at top speed, all systems active","[""Increase altitude to avoid obstacles, full camera power"", ""Descend to warmer air, disable thermal camera"", ""Maintain altitude, increase speed to save time"", ""Circle waypoint, wait for GNSS recovery"", ""Abort mission, return at maximum thrust"", ""Switch to low-power GPS mode, reduce imaging rate"", ""Fly direct at top speed, all systems active""]","Switching to low-power GPS mode and reducing imaging conserves energy while maintaining essential navigation and mission data. It balances sensor use and communication efficiency during jamming and icing, preserving battery for path adjustments. Other options either over-consume power or waste energy without adaptive routing." 2025-11-01T18:05:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_jungle_snowfall_helicopter_7dc599a1c6c6_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_jungle_snowfall_helicopter,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 30% battery, GNSS degrades due to canopy and snowfall; UAV must complete grid near no-fly zone with strong SW winds.","This is a UAV survey mission in a jungle environment with active snowfall and poor visibility. The helicopter-type drone operates within a defined airspace bounded by altitude limits and a polygonal geofence. A central no-fly zone cylinder restricts access around a sensitive area. The UAV is equipped with a battery power system and carries an RGB camera payload for visual data collection. Strong winds from the southwest and gusty conditions add flight challenges. Mid-mission, a communications loss occurs, disabling downlink and simulating a lost-link fault. The UAV must complete its grid pattern efficiently while managing battery reserves and avoiding the no-fly zone. Emergency landing is possible at a designated site in case of critical battery depletion. GNSS signals may experience interference due to canopy cover and weather-induced multipath. The mission emphasizes autonomous decision-making under environmental and system stressors within strict operational constraints.",Descend to 15m AGL for better camera resolution,Climb to 120m for improved GNSS signal stability,Proceed at full speed to finish survey before low battery,"Reduce speed, prioritize altitude hold for wind gusts",Abort and divert to emergency landing immediately,Circle current position until GNSS signal improves,"Switch to optical flow, maintain 45m altitude and steady pace","[""Descend to 15m AGL for better camera resolution"", ""Climb to 120m for improved GNSS signal stability"", ""Proceed at full speed to finish survey before low battery"", ""Reduce speed, prioritize altitude hold for wind gusts"", ""Abort and divert to emergency landing immediately"", ""Circle current position until GNSS signal improves"", ""Switch to optical flow, maintain 45m altitude and steady pace""]","Optical flow compensates for GNSS degradation under canopy while 45m balances visibility, wind resilience, and safety margin. Steady pace conserves energy and ensures complete coverage without risking no-fly zone intrusion or loss of control in gusts." 2025-11-01T18:05:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_wind_farm_4f1b8268823b_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_wind_farm,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"After 25% propulsion loss at 120 m AGL in 20 m/s westerly winds, what action maintains control and avoids stall at 10 m AGL?","Heavy-lift UAV conducts wind turbine inspection in a coastal wind farm with strong westerly winds and gusts. Mission operates within a confined airspace bounded by geofenced polygons and strict altitude limits from 10 to 150 meters AGL. Weather includes variable wind shear with increasing speed and directional shift up to 100 meters, plus thermal updrafts. UAV is battery-powered with 8000 Wh capacity, carrying RGB and thermal cameras for visual inspection tasks. A critical motor failure occurs mid-mission, reducing propulsion efficiency by 25%. GNSS signals suffer from multipath interference and moderate jamming, complicating navigation near turbines. A static no-fly zone surrounds a central turbine, with an additional moving NFZ drifting westward. An active traffic UAV flies perpendicular to the mission path, requiring separation assurance below 25 meters threshold. A moving spherical obstacle drifts slowly through the flight corridor, demanding real-time avoidance. Battery depletion forces emergency landing at an alternate site after communication dropout between 450–465 seconds.",Increase pitch by 8° to gain lift and descend slowly,Reduce airspeed to 12 m/s to minimize drag and conserve energy,Bank 45° into wind to reduce groundspeed and drift,Descend at 5 m/s vertical rate to maintain angle of attack,Apply full throttle to compensate for thrust loss and climb,Turn downwind to increase apparent wind and lift,Enter autorotation using blade pitch to generate residual lift,"[""Increase pitch by 8° to gain lift and descend slowly"", ""Reduce airspeed to 12 m/s to minimize drag and conserve energy"", ""Bank 45° into wind to reduce groundspeed and drift"", ""Descend at 5 m/s vertical rate to maintain angle of attack"", ""Apply full throttle to compensate for thrust loss and climb"", ""Turn downwind to increase apparent wind and lift"", ""Enter autorotation using blade pitch to generate residual lift""]","With 25% thrust loss, maintaining optimal angle of attack is critical to avoid stall. Descending at 5 m/s balances kinetic and potential energy, sustaining sufficient airspeed for lift. Other choices either exceed thrust capacity, increase drag, or induce stall due to low Reynolds number at low speed." 2025-11-01T18:05:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_offshore_amphibious_ce38ee40fb1a_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_offshore_amphibious,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"During icing at 8 m/s westerly wind, UAV must adjust AoA and airspeed to maintain lift without exceeding stall limit.","This scenario involves an inspection mission using an amphibious fixed-wing VTOL UAV operating offshore near an oil platform. The UAV is equipped with a comprehensive sensor suite including GNSS, radar, LiDAR, RGB and thermal cameras, and is powered solely by a 1200 Wh battery. The mission takes place in controlled offshore airspace with a defined geofence and a cylindrical no-fly zone around critical infrastructure. Weather conditions include strong westerly winds at 8 m/s with gusts up to 4 m/s and hazardous icing conditions that impact UAV performance. The UAV must complete a corridor-style inspection pattern while avoiding a moving obstacle and a second UAV on a crossing path. A key constraint is maintaining at least 25 meters separation from other traffic to avoid DAA breaches. Halfway through the mission, the UAV experiences an icing event that increases drag and reduces lift, followed by a severe GNSS jamming event requiring resilient navigation. Communication experiences a brief 15-second downlink loss during the fault period, challenging telemetry and control. Due to battery degradation from environmental stresses and faults, the UAV may be forced to perform an emergency landing on a designated offshore site instead of returning to the runway. The scenario tests fault tolerance, energy management, and safe emergency procedures in a realistic offshore operational environment.","Increase AoA to 18°, reduce speed to 14 m/s","Decrease AoA to 5°, increase speed to 22 m/s","Maintain AoA at 10°, reduce throttle to 60%","Increase speed to 20 m/s, lower AoA to 6°","Pitch up sharply to 20° AoA, hold current thrust","Reduce speed to 12 m/s, increase Ao游戏副本","Hold attitude, increase thrust by 15%","[""Increase AoA to 18°, reduce speed to 14 m/s"", ""Decrease AoA to 5°, increase speed to 22 m/s"", ""Maintain AoA at 10°, reduce throttle to 60%"", ""Increase speed to 20 m/s, lower AoA to 6°"", ""Pitch up sharply to 20° AoA, hold current thrust"", ""Reduce speed to 12 m/s, increase Ao游戏副本"", ""Hold attitude, increase thrust by 15%""]","Icing reduces lift coefficient and increases stall susceptibility. Increasing airspeed compensates for lost lift while decreasing AoA avoids flow separation. Option B balances drag rise and lift demand within aerodynamic limits, ensuring control margin under gusting winds and density altitude effects." 2025-11-01T18:05:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_mountain_sandstorm_73812a519f8d_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_mountain_sandstorm,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"UAV must operate 10 min in sandstorm with 18 m/s winds, GNSS outage, and motor failure at 480 s.","Search and rescue mission in mountainous terrain with poor visibility due to an active sandstorm. UAV is a battery-powered amphibious hexacopter with fixed-wing aerodynamics and a multi-sensor payload including RGB and thermal cameras. Strong winds up to 18 m/s increase with altitude and shift direction, compounding flight challenges. Mission duration is constrained to 10 minutes with a required runway landing at the end. A static no-fly zone and a moving no-fly cylinder must be avoided during flight. GNSS performance is degraded due to jamming at -85 dBm and a fault induces severe GNSS outage mid-mission. Motor failure occurs at 480 seconds, reducing thrust capability permanently. Uplink communication is lost intermittently, limiting remote control input. Swarm operation with three UAVs requires minimum 25-meter separation between units. Forced landing may be necessary due to battery depletion or system faults in harsh, dynamic conditions.",Fixed-pitch propellers for simplicity and lower weight,Redundant IMUs with sensor fusion for attitude stability,Higher battery capacity with increased gross weight,Reduced sensor suite to extend flight time,Pre-programmed glide path for forced landing,Aggressive obstacle avoidance using lidar only,Single high-gain antenna for uplink reliability,"[""Fixed-pitch propellers for simplicity and lower weight"", ""Redundant IMUs with sensor fusion for attitude stability"", ""Higher battery capacity with increased gross weight"", ""Reduced sensor suite to extend flight time"", ""Pre-programmed glide path for forced landing"", ""Aggressive obstacle avoidance using lidar only"", ""Single high-gain antenna for uplink reliability""]","Redundant IMUs with sensor fusion maintain stability during GNSS outage and motor failure, ensuring controllability. Other options compromise safety or adaptability—like reduced sensing or single-point uplink failure. B provides fault-tolerant navigation critical under wind gusts and system faults." 2025-11-01T18:05:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_suburban_quadrotor_7585d4b2019a_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_suburban_quadrotor,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"At 405 s, motor failure reduces thrust by 25%; battery at 45%, wind from 180° at 5 m/s. Which action balances energy, control, and obstacle avoidance?","This scenario involves a battery-powered quadrotor conducting a grid survey mission in suburban airspace. The UAV operates within an altitude range of 10 to 120 meters AGL and must avoid a cylindrical no-fly zone centered at (100, 100) with a 20-meter radius. Weather conditions include a 5 m/s wind from 180 degrees and moderate gusts, with good visibility. The UAV is equipped with standard sensors including GNSS, IMU, magnetometer, barometer, and an RGB camera, but lacks lidar and radar. It has a total battery capacity of 320 Wh and a reserve fraction of 30%, with energy consumption modeled based on hover, drag, and maneuvering. During the mission, the UAV faces two critical faults: a GNSS jamming event starting at 300 seconds and a partial motor failure at 400 seconds. Communication experiences brief uplink/downlink outages between 310–325 and 410–420 seconds. Air traffic includes a crossing UAV entering from the north, and a moving spherical obstacle drifts eastward at 2 m/s. Two emergency landing sites are available at (180, 20) and (20, 180), to be used if battery depletion or system failures necessitate forced landing. The mission emphasizes resilience to GNSS interference, motor degradation, and dynamic obstacle avoidance under realistic suburban flight constraints.",Climb to 120 m for clear camera视野,Descend to 10 m to reduce wind resistance,"Hold altitude, reduce speed by 40%","Head directly to (180, 20) emergency site","Bank 30° to bypass sphere, maintain speed","Ascend to 110 m, slow to 3 m/s, track east",Hover until comms restore at 420 s,"[""Climb to 120 m for clear camera视野"", ""Descend to 10 m to reduce wind resistance"", ""Hold altitude, reduce speed by 40%"", ""Head directly to (180, 20) emergency site"", ""Bank 30° to bypass sphere, maintain speed"", ""Ascend to 110 m, slow to 3 m/s, track east"", ""Hover until comms restore at 420 s""]","Ascending to 110 m ensures terrain and obstacle clearance while reducing speed improves control authority with degraded thrust. This balances energy conservation, aerodynamic stability, and safe separation from the drifting sphere under partial motor failure and wind." 2025-11-01T18:05:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_powerline_snow_0c10e829b9ec_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_powerline_snow,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"With 8 m/s westerly winds and motor failure at 300 s, which action maximizes survival using minimal energy?","Quadrotor UAV conducts powerline corridor inspection in snowy, windy conditions with poor visibility. Mission takes place in a restricted airspace near power infrastructure, featuring static and moving no-fly zones. UAV is equipped with RGB camera and standard navigation sensors but lacks thermal and LiDAR capabilities. Strong westerly winds at 8 m/s with gusts up to 4 m/s increase energy consumption and control challenges. A dynamic no-fly zone moves through the corridor, requiring real-time path adjustments. Battery degradation and a simulated motor failure at 300 seconds create emergency landing conditions. GNSS multipath is likely due to proximity to powerlines, affecting positioning accuracy. A conflicting UAV enters from outside the geofenced area, demanding separation assurance. Emergency landing sites are located at opposite ends of the corridor, both at low elevation. Mission must balance inspection objectives against battery reserve limits and fault tolerance.",Continue inspection to corridor end before landing,Ascend to 150 m for better GNSS signal and visibility,Divert immediately to nearest emergency landing site,Hover in place until conflicting UAV clears path,Reduce camera frame rate to save power and proceed,Fly crosswind trajectory to reduce aerodynamic drag,Engage full stabilization mode to counteract wind gusts,"[""Continue inspection to corridor end before landing"", ""Ascend to 150 m for better GNSS signal and visibility"", ""Divert immediately to nearest emergency landing site"", ""Hover in place until conflicting UAV clears path"", ""Reduce camera frame rate to save power and proceed"", ""Fly crosswind trajectory to reduce aerodynamic drag"", ""Engage full stabilization mode to counteract wind gusts""]","After motor failure, energy reserves are critically low and control authority is reduced. Continuing or increasing power use in wind degrades safety margins. Immediate diversion minimizes energy expenditure and ensures landing within remaining battery capacity." 2025-11-01T18:05:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_convertiplane_dust_c8f756dbb588_mcq.json,uavbench-mcq-v1,bridge_inspection_convertiplane_dust,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,E,False,"At 80 m AGL in 18 m/s crosswind with 6° directional shear, what minimizes sideslip while maintaining 12 m/s airspeed under degraded GNSS?","This scenario involves a bridge inspection mission using a convertiplane UAV in a suburban airspace. The UAV is equipped with RGB camera, LiDAR, and standard navigation sensors, powered entirely by a 650 Wh battery. Operations take place under poor visibility due to dust, with moderate to strong winds increasing with altitude and directional shear. The flight envelope is constrained between 5 m and 120 m AGL within a defined geofenced polygon. A cylindrical no-fly zone blocks part of the area near the bridge, requiring careful path planning. The UAV must maintain separation from a crossing traffic UAV and a moving obstacle near the structure. GNSS signals are degraded by multipath and electromagnetic interference, complicating navigation. Communication experiences brief downlink outages, and the UAV must rely on onboard systems during those periods. The mission requires a runway-assisted takeoff and landing, with a time budget of 10 minutes to complete the inspection corridor pattern.",Increase bank angle to 15° into wind with rudder trim,Reduce airspeed to 10 m/s to decrease aerodynamic load,Deploy full flaps to increase lift at low Reynolds number,Align thrust vector 5° leeward to counteract lateral drift,Maintain wings level with coordinated aileron-rudder input,Pitch up 4° to increase angle of attack and lift coefficient,Yaw right 6° to track ground path despite wind shear,"[""Increase bank angle to 15° into wind with rudder trim"", ""Reduce airspeed to 10 m/s to decrease aerodynamic load"", ""Deploy full flaps to increase lift at low Reynolds number"", ""Align thrust vector 5° leeward to counteract lateral drift"", ""Maintain wings level with coordinated aileron-rudder input"", ""Pitch up 4° to increase angle of attack and lift coefficient"", ""Yaw right 6° to track ground path despite wind shear""]","Maintaining wings level with coordinated controls balances lift and centripetal force, minimizing sideslip and drag. At 80 m AGL with directional shear, uncoordinated maneuvers induce asymmetric loading and reduce effective lift. This option sustains 12 m/s efficiently while preserving stability during GNSS outages." 2025-11-01T18:05:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_HAPS_volcanic_low_visibility_89fadb5e2631_mcq.json,uavbench-mcq-v1,bridge_inspection_HAPS_volcanic_low_visibility,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 3,200 m AGL in 18 m/s winds, UAV must inspect bridge while avoiding moving restricted zone and maintaining GNSS-denied coordination with relay drone.","This scenario involves a high-altitude pseudo-satellite UAV conducting a bridge inspection mission in a volcanic zone with poor visibility. The airspace is restricted between 1,500 and 4,000 meters AGL, featuring a static no-fly zone and a moving restricted zone. Weather conditions include strong winds up to 18 m/s, ash clouds, low visibility, and icing conditions. The UAV is equipped with radar, RGB and thermal cameras, and relies on GNSS despite multipath interference and moderate jamming. Key constraints include GNSS signal degradation, electromagnetic interference, and dynamic obstacles. The mission requires navigating a corridor pattern through waypoints while avoiding collisions and maintaining separation from other air traffic. A fault event simulates moderate icing affecting the UAV for one minute during flight. Communication experiences brief loss windows, and a runway approach is required for landing. Thermal updrafts are present but must be managed carefully due to turbulence. The UAV must complete the inspection within the time and battery limits while adhering to all airspace and safety rules.","Descend to 1,400 m to escape icing and jamming",Proceed straight through restricted zone to save battery,Initiate clockwise circumnavigation of no-fly zone alone,Rely solely on thermal camera for navigation in ash cloud,Synchronize radar pings with relay drone every 15 s,Delay fault response until after waypoint inspection,Abort mission immediately upon first signal loss,"[""Descend to 1,400 m to escape icing and jamming"", ""Proceed straight through restricted zone to save battery"", ""Initiate clockwise circumnavigation of no-fly zone alone"", ""Rely solely on thermal camera for navigation in ash cloud"", ""Synchronize radar pings with relay drone every 15 s"", ""Delay fault response until after waypoint inspection"", ""Abort mission immediately upon first signal loss""]",Synchronizing radar pings ensures mutual situational awareness and compensates for GNSS degradation. It maintains communication coherence and distributed sensing under jamming. This enables coordinated obstacle avoidance and preserves mission integrity during brief signal losses. 2025-11-01T18:05:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_volcanic_zone_hexacopter_798849717c9f_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_volcanic_zone_hexacopter,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 250s, partial motor failure occurs; wind is 11 m/s, battery at 30% reserve, and intruder UAV nearby. What is the priority?","This scenario involves a hexacopter UAV conducting an inspection mission in a volcanic zone. The mission takes place within a defined rectangular airspace containing both static and moving no-fly zones. Weather conditions include strong winds up to 11 m/s, poor visibility, rain, and a risk of lightning, with wind increasing and shifting direction at higher altitudes. The UAV is equipped with standard sensors including GNSS, IMU, lidar, and RGB camera, but operates under significant environmental challenges such as GNSS multipath, electromagnetic interference, and localized jamming. A thermal updraft plume is present near a volcanic feature, affecting local airflow. The UAV must navigate around a stationary NFZ and a dynamically moving obstacle that shifts with time. An emergency landing capability is required due to a simulated partial motor failure triggered at 250 seconds into the flight. Communication dropouts occur briefly at two intervals, reducing downlink reliability. Battery endurance is critical, with a reserve fraction of 30% and limited energy capacity, demanding efficient routing within the 10-minute time budget. The UAV must maintain safe separation from another intruder UAV and avoid collisions while completing its waypoint corridor pattern.",Continue inspection to complete high-value volcanic data collection,Ascend to avoid terrain despite thermal updraft instability,"Divert to emergency landing zone, prioritizing controlled descent",Fly toward moving NFZ to exploit wind-aligned shortcut,"Maintain course, assuming redundancy will prevent crash",Descend rapidly into low visibility rain to reduce wind exposure,Request override from operator despite communication dropouts,"[""Continue inspection to complete high-value volcanic data collection"", ""Ascend to avoid terrain despite thermal updraft instability"", ""Divert to emergency landing zone, prioritizing controlled descent"", ""Fly toward moving NFZ to exploit wind-aligned shortcut"", ""Maintain course, assuming redundancy will prevent crash"", ""Descend rapidly into low visibility rain to reduce wind exposure"", ""Request override from operator despite communication dropouts""]",Safety-of-life takes precedence over mission objectives. A controlled emergency landing minimizes uncontrolled crash risk in hazardous terrain with limited battery and deteriorating conditions. Continuing flight endangers public safety and violates operational risk thresholds. 2025-11-01T18:05:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_convertiplane_hail_2a075848337a_mcq.json,uavbench-mcq-v1,bridge_inspection_convertiplane_hail,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"At 120s, icing degrades UAV performance; 30% battery reserve, 600s time budget, dynamic NFZ moves through area.","This scenario involves a bridge inspection mission using a convertiplane UAV in an industrial plant airspace. The UAV is equipped with a comprehensive sensor suite including RGB and thermal cameras, LiDAR, radar, and full navigation sensors. Weather conditions are challenging with hail, icing, poor visibility, and strong winds up to 12 m/s increasing with altitude. A dynamic no-fly zone moves through the area, and a static NFZ blocks access near the center of the domain. The UAV must maintain separation from a moving obstacle and another UAV traffic operating in the airspace. GNSS signals suffer from multipath, jamming at -75 dBm, and electromagnetic interference, complicating navigation. The mission follows a corridor pattern with five waypoints, requiring runway-assisted takeoff and landing. Battery reserve is set to 30%, and the flight must be completed within a 600-second time budget. An icing fault event occurs at 120 seconds, degrading performance for one minute. The environment includes thermal updrafts near the plant structures, which may affect flight stability.","Continue corridor pattern ignoring icing, prioritize waypoint completion","Abort mission immediately, return to base due to hail risk","Adjust altitude to exploit thermal updrafts, compensating for lost lift",Request reroute from traffic coordinator before dynamic NFZ blocks path,Increase speed to finish before battery drops below 30% threshold,Switch to radar-only navigation due to GNSS jamming at -75 dBm,"Descend to avoid wind shear, accept collision risk with moving obstacle","[""Continue corridor pattern ignoring icing, prioritize waypoint completion"", ""Abort mission immediately, return to base due to hail risk"", ""Adjust altitude to exploit thermal updrafts, compensating for lost lift"", ""Request reroute from traffic coordinator before dynamic NFZ blocks path"", ""Increase speed to finish before battery drops below 30% threshold"", ""Switch to radar-only navigation due to GNSS jamming at -75 dBm"", ""Descend to avoid wind shear, accept collision risk with moving obstacle""]",Coordinating rerouting before the dynamic NFZ closure maintains airspace deconfliction and respects timing constraints. It leverages inter-agent communication to preserve mission progress while ensuring separation from other UAV traffic. Other options either ignore coordination windows or violate safety margins under degraded performance. 2025-11-01T18:05:39Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_swarm_mine_07359afd5dbf_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_swarm_mine,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,E,False,"At 400 s, one drone suffers motor failure and comms loss in 3 m/s wind with gusts; swarm must finish inspection within 600 s.","This scenario involves a swarm drone inspection mission inside an underground mine. The airspace is confined within a 100x80 meter polygon with a maximum altitude of 50 meters AGL. Weather conditions include a 3 m/s wind from 180 degrees, gusts up to 2.5 m/s, poor visibility, and hail. Four battery-powered rotorcraft drones, each with a 320 Wh battery and 2.5 kg mass, operate as a swarm with leader, follower, and scout roles. The drones are equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors but face GNSS multipath challenges due to the underground environment. A cylindrical no-fly zone with a 10-meter radius is centered at (50, 40), restricting flight paths. The mission requires completing a corridor pattern inspection within 600 seconds, starting from (10, 10, 25) with a 5-meter minimum separation between UAVs. An emergency motor failure occurs at 400 seconds, lasting one minute with 50% severity, while uplink communication is lost during the same period. Two designated emergency landing sites are available at corners of the operational area.","Descend to 20 m AGL, reform swarm, continue inspection","Abort mission, proceed to nearest emergency landing site",Increase speed to complete pattern before 600 s,Climb to 50 m AGL for better GNSS signal and clearance,"Isolate failed drone, reroute others around NFZ and hazard",Hover in place until comms and motor restore at 460 s,"Split swarm: scouts map ahead, followers inspect at 30 m","[""Descend to 20 m AGL, reform swarm, continue inspection"", ""Abort mission, proceed to nearest emergency landing site"", ""Increase speed to complete pattern before 600 s"", ""Climb to 50 m AGL for better GNSS signal and clearance"", ""Isolate failed drone, reroute others around NFZ and hazard"", ""Hover in place until comms and motor restore at 460 s"", ""Split swarm: scouts map ahead, followers inspect at 30 m""]","The motor failure and comms loss at 400 s demand autonomous reconfiguration while maintaining separation and NFZ compliance. Option E isolates the faulty drone and reroutes the rest, ensuring mission continuity, collision avoidance, and adherence to the 5-meter separation and 10-meter NFZ radius. Other options either increase risk (A, D, F), exceed endurance (C), or fail to mitigate the immediate hazard (B, G)." 2025-11-01T18:05:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_vtol_tiltrotor_industrial_dust_52dd1ba1ee41_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_vtol_tiltrotor_industrial_dust,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"At 25m AGL, 18% battery, and 240° gusts, which action balances energy, safety, and NFZ compliance during lost link?","VTOL tiltrotor UAV conducts an industrial inspection mission within a confined plant area. Flight occurs in poor visibility due to dust, with moderate winds from 240° and gusts. The UAV operates between 5 and 120 meters AGL, navigating around static and moving no-fly zones. A cylindrical NFZ near the center restricts access below 30 meters within a 20-meter radius. A second dynamic NFZ moves slowly through the airspace, requiring real-time avoidance. The UAV is equipped with GNSS, IMU, lidar, and RGB camera for navigation and inspection tasks. Battery capacity is limited, with a reserve fraction of 30% and high power draw in hover. Mid-mission, a lost link event and motor failure test system resilience. An emergency landing site is designated at the far end of the plant. Traffic and moving obstacles increase collision risk, demanding strict separation and situational awareness.",Descend to 15m to reduce wind exposure,Climb to 120m and proceed direct to base,Hover at current position until link restores,Fly 35m AGL circumferential path around cylinder,Eject payload to lighten load and extend range,"Head to emergency site at 40m AGL, avoiding dynamic NFZ","Increase speed to exit area quickly, ignoring gusts","[""Descend to 15m to reduce wind exposure"", ""Climb to 120m and proceed direct to base"", ""Hover at current position until link restores"", ""Fly 35m AGL circumferential path around cylinder"", ""Eject payload to lighten load and extend range"", ""Head to emergency site at 40m AGL, avoiding dynamic NFZ"", ""Increase speed to exit area quickly, ignoring gusts""]","Flying to the emergency site at 40m AGL avoids the cylindrical NFZ (which restricts below 30m within 20m radius) while maintaining safe separation from dynamic obstacles. It conserves energy by avoiding hover and inefficient climbs, uses lidar/GNSS/IMU for navigation despite lost link, and complies with reserve margin by planning for a known safe landing with margin." 2025-11-01T18:05:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/border_patrol_vtol_icing_suburban_a830e70d540e_mcq.json,uavbench-mcq-v1,border_patrol_vtol_icing_suburban,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 200s, icing reduces lift; GNSS jammed at -75 dBm, winds 8–15 m/s west. How to maintain navigation integrity?","This is a border patrol mission using a VTOL tiltrotor UAV in a suburban airspace. The UAV conducts a corridor survey between waypoints at altitudes from 30 to 200 meters AGL. Weather includes poor visibility, 8–15 m/s winds from the west, and icing conditions. The UAV is equipped with RGB and thermal cameras, LiDAR, radar, and full navigation sensors. GNSS signals are degraded due to multipath, jamming at -75 dBm, and electromagnetic interference. A static no-fly zone and a moving no-fly cylinder must be avoided during flight. The mission requires a runway approach at the end, with preferred landing at (100, 400, 30). An icing fault event occurs at 200 seconds, reducing performance for one minute. A second UAV and a moving spherical obstacle create dynamic collision risks. The flight must complete within 600 seconds while maintaining separation and avoiding airspace violations.",Rely solely on GNSS and reset IMU,Switch to LiDAR-only terrain matching,Increase reliance on radar and visual odometry,Descend to 30m to regain GNSS signal,Trust last known GNSS position and coast,Use IMU-thermal fusion with wind-compensated dead reckoning,Hover until jamming subsides and icing clears,"[""Rely solely on GNSS and reset IMU"", ""Switch to LiDAR-only terrain matching"", ""Increase reliance on radar and visual odometry"", ""Descend to 30m to regain GNSS signal"", ""Trust last known GNSS position and coast"", ""Use IMU-thermal fusion with wind-compensated dead reckoning"", ""Hover until jamming subsides and icing clears""]","Radar provides robust ranging in poor visibility and resists jamming, while visual odometry from RGB and thermal cameras enables motion estimation when GNSS is degraded. Fusing these with wind-aware motion models maintains position accuracy without relying on unstable GNSS or drift-prone IMU alone. This balances environmental resilience and sensor redundancy during icing and jamming." 2025-11-01T18:05:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_haps_rain_705ed6bbc959_mcq.json,uavbench-mcq-v1,bridge_inspection_haps_rain,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"At 18 m/s winds and moderate GNSS jamming, how should the UAV maintain position and secure control?","This scenario involves a high-altitude pseudo-satellite UAV conducting a bridge inspection mission in a desert airspace. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, powered entirely by a large battery. It operates under poor visibility due to rain and faces icing conditions that impact performance. Winds increase with altitude, reaching 18 m/s at 3000 m, and a dynamic no-fly zone moves through the area. The mission follows a corridor pattern across five waypoints within a strict 600-second time budget. A moving obstacle and another UAV traffic pose collision risks, requiring adherence to a 50-meter separation threshold. The UAV must avoid a static no-fly cylinder around the bridge and respect geofenced airspace boundaries. GNSS signals are moderately jammed but multipath effects are absent, while electromagnetic interference is present. The UAV spawns at 1500 m altitude and must manage energy carefully due to high hover power demand and reserve requirements. Icing faults reduce efficiency for three minutes starting at 120 seconds, adding operational risk.",Use GNSS alone with no encryption for faster updates,Switch to encrypted INS/GPS fusion with integrity monitoring,Disable telemetry encryption to reduce communication latency,Rely on unauthenticated visual odometry during icing events,Increase control loop frequency using jammed GNSS data,Accept all ground commands without cryptographic verification,Use open-loop timing to save power under EMI conditions,"[""Use GNSS alone with no encryption for faster updates"", ""Switch to encrypted INS/GPS fusion with integrity monitoring"", ""Disable telemetry encryption to reduce communication latency"", ""Rely on unauthenticated visual odometry during icing events"", ""Increase control loop frequency using jammed GNSS data"", ""Accept all ground commands without cryptographic verification"", ""Use open-loop timing to save power under EMI conditions""]","Encrypted INS/GPS fusion ensures data integrity and availability under jamming while maintaining secure, authenticated control. Integrity monitoring detects spoofing or signal loss, enabling resilient navigation. This balances cyber-security and control stability without sacrificing mission continuity." 2025-11-01T18:05:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_haps_rain_22fbeb6a2435_mcq.json,uavbench-mcq-v1,bridge_inspection_haps_rain,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 5,800 m AGL, 8 m/s headwind drops to 6 m/s while entering GNSS jamming. Maintain 45-second fault tolerance with radar-assisted navigation and dynamic obstacle avoidance.","This is a bridge inspection mission using a high-altitude pseudo-satellite (HAPS) UAV in a desert environment. The aircraft operates between 1,000 and 6,000 meters AGL within a defined polygonal airspace. Weather conditions include moderate rain, poor visibility, and a headwind of 8 m/s increasing with altitude, reaching 18 m/s at 6,000 m. The UAV carries a multi-sensor payload including RGB and thermal cameras, supported by radar due to GNSS limitations. It faces strong GNSS jamming at -85 dBm and electromagnetic interference, with a scheduled GNSS jamming fault lasting 45 seconds. A dynamic no-fly zone moves through the airspace, requiring real-time path adjustments. The mission follows a corridor pattern with six waypoints, requiring runway-assisted takeoff and landing despite limited downlink. The UAV must manage battery reserves carefully under increased drag from rain and icing, which reduces efficiency for 60 seconds. Air traffic and a moving spherical obstacle add collision avoidance challenges. Strict separation thresholds and DAA monitoring ensure safety in shared airspace.","Descend to 1,200 m AGL, continue corridor pattern using thermal imaging","Climb to 6,000 m, use radar for positioning during jamming","Hold at 5,800 m, rely solely on inertial navigation for 45 seconds","Divert immediately to runway, descend through moving NFZ","Reduce speed to conserve battery, maintain altitude and heading","Turn back, fly below 1,000 m AGL to avoid jamming and icing","Descend to 3,000 m AGL, switch to radar-guided flight, adjust path around NFZ","[""Descend to 1,200 m AGL, continue corridor pattern using thermal imaging"", ""Climb to 6,000 m, use radar for positioning during jamming"", ""Hold at 5,800 m, rely solely on inertial navigation for 45 seconds"", ""Divert immediately to runway, descend through moving NFZ"", ""Reduce speed to conserve battery, maintain altitude and heading"", ""Turn back, fly below 1,000 m AGL to avoid jamming and icing"", ""Descend to 3,000 m AGL, switch to radar-guided flight, adjust path around NFZ""]","Operating at 5,800 m risks severe wind (18 m/s) and icing; descending to 3,000 m reduces drag and stays within safe AGL band. Radar use maintains navigation integrity during GNSS fault while avoiding NFZ and preserving battery for landing." 2025-11-01T18:05:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/border_patrol_fixed_wing_hail_2a97d3483673_mcq.json,uavbench-mcq-v1,border_patrol_fixed_wing_hail,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"With 10-minute survey limit, 30% battery reserve, and moving obstacle, how should UAVs coordinate for optimal coverage and return?","This is a fixed-wing UAV border patrol mission near an airport perimeter. The UAV operates within a defined polygonal airspace between 50 and 300 meters AGL. Weather conditions include strong winds from the west, gusts, poor visibility, and hail. The UAV is equipped with radar, RGB and thermal cameras, and standard navigation sensors. It must avoid a cylindrical no-fly zone centered in the area and maintain separation from other air traffic. A moving spherical obstacle traverses the path, requiring real-time avoidance. The mission involves surveying a corridor pattern with a strict 10-minute time budget and requires runway-aligned takeoff and landing. Communication experiences brief dropouts, and GNSS signals may suffer multipath near structures. An icing event occurs mid-mission, increasing aerodynamic drag and power consumption. Battery reserves are set to 30% to ensure safe return under adverse conditions.","Increase speed to finish early, ignoring wind effects","Split corridor into halves, fly parallel, sync thermal scans",Stack vertically in holding pattern until obstacle passes,Delay takeoff until visibility improves for safer flight,Switch to GNSS-only navigation to reduce sensor load,One UAV covers full path while other rests at base,Share radar data but skip battery state updates,"[""Increase speed to finish early, ignoring wind effects"", ""Split corridor into halves, fly parallel, sync thermal scans"", ""Stack vertically in holding pattern until obstacle passes"", ""Delay takeoff until visibility improves for safer flight"", ""Switch to GNSS-only navigation to reduce sensor load"", ""One UAV covers full path while other rests at base"", ""Share radar data but skip battery state updates""]","B enables cooperative task partitioning with synchronized sensing, balancing time and energy use across agents. It maintains communication and coverage while adapting to the moving obstacle. Other options violate timing, energy reserves, or situational awareness constraints." 2025-11-01T18:05:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/battery_emergency_forced_landing_volcanic_zone_vtol_tiltrotor_bbeb51463afe_mcq.json,uavbench-mcq-v1,battery_emergency_forced_landing_volcanic_zone_vtol_tiltrotor,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,Which path avoids the moving no-fly zone and DAA obstacles while reaching all 5 waypoints in 600 s with 50 m separation?,"VTOL tiltrotor UAV conducts a survey mission in a hazardous volcanic zone with poor visibility. The airspace includes static and moving no-fly zones, a geofenced polygon, and a designated runway for landing. Strong winds increase with altitude, shifting direction from 240° to 270°, with gusts up to 4.5 m/s. Hail and icing conditions are present, with an icing event artificially triggered during flight. The UAV is equipped with thermal and RGB cameras, LiDAR, and standard navigation sensors, but faces GNSS multipath, jamming at -75 dBm, and electromagnetic interference. A dynamic no-fly zone moves slowly across the area, requiring real-time path adaptation. The mission includes five waypoints in a corridor pattern, with a time budget of 600 seconds and required runway use. An external UAV and a moving spherical obstacle create collision risks, requiring DAA compliance with 50 m separation. Battery reserves are critical due to high power demands in windy, turbulent conditions and potential forced landings at emergency sites.","Climb to 120 m AGL, fly direct to W3 then W4 avoiding NFZ edge","Descend to 80 m, proceed to W2 with 240° heading, ignoring wind shift","Route via emergency landing site, adding 90 s delay before W3","Maintain 100 m AGL, follow corridor with 300 m turn radius at W1","Deviate 60 m east at W2 to bypass spherical obstacle, then resume course",Accelerate through hail at 15 m/s to maintain schedule to W5,Delay re-route decision by 20 s after detecting dynamic NFZ incursion,"[""Climb to 120 m AGL, fly direct to W3 then W4 avoiding NFZ edge"", ""Descend to 80 m, proceed to W2 with 240° heading, ignoring wind shift"", ""Route via emergency landing site, adding 90 s delay before W3"", ""Maintain 100 m AGL, follow corridor with 300 m turn radius at W1"", ""Deviate 60 m east at W2 to bypass spherical obstacle, then resume course"", ""Accelerate through hail at 15 m/s to maintain schedule to W5"", ""Delay re-route decision by 20 s after detecting dynamic NFZ incursion""]","Deviation east at W2 ensures 50 m separation from the moving obstacle while preserving time and altitude band. It avoids dynamic NFZ encroachment and maintains GNSS-reliable altitude with minimal energy use. Other options violate separation, time budget, or obstacle avoidance due to poor routing or latency." 2025-11-01T18:05:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/border_patrol_bridge_site_vtol_8a8c2fdfdb79_mcq.json,uavbench-mcq-v1,border_patrol_bridge_site_vtol,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Plan a route avoiding the 135° wind, 150 m AGL limit, and moving obstacle at 2 m/s westward drift within 600 seconds.","This UAV mission is an inspection operation conducted at a bridge site within a defined airspace. The VTOL tiltrotor UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates in poor visibility due to dust, with winds at 8 m/s from 135° and gusts up to 4 m/s. The flight envelope is restricted between 30 m and 150 m AGL, with a cylindrical no-fly zone near the center of the area. The UAV must follow a corridor inspection pattern, avoiding a moving spherical obstacle drifting westward at 2 m/s. A second UAV enters the airspace from the east, requiring separation of at least 25 meters and a time-to-closest-approach threshold of 30 seconds. Communication experiences brief downlink losses between 120–130 and 300–315 seconds. The UAV must use the designated runway for operations and return to a preferred landing site near its start position. Battery reserves are set to 30%, and the mission must complete within 600 seconds.","Fly direct at 140 m AGL, ignore gusts, proceed to waypoint 5","Climb to 160 m AGL to clear obstacle, maintain east-west alignment","Descend to 25 m AGL to avoid wind, track north-south below NFZ","Reroute south, hold 35 m AGL, delay waypoint 3 by 45 seconds","Adjust heading 90°, fly 40 m AGL, pass NFZ periphery at 28 m radius","Bank 45° around obstacle, maintain 120 m AGL, resume pattern after 310 s","Shift eastward 50 m, fly 110 m AGL, intercept next waypoint with 3° glide","[""Fly direct at 140 m AGL, ignore gusts, proceed to waypoint 5"", ""Climb to 160 m AGL to clear obstacle, maintain east-west alignment"", ""Descend to 25 m AGL to avoid wind, track north-south below NFZ"", ""Reroute south, hold 35 m AGL, delay waypoint 3 by 45 seconds"", ""Adjust heading 90°, fly 40 m AGL, pass NFZ periphery at 28 m radius"", ""Bank 45° around obstacle, maintain 120 m AGL, resume pattern after 310 s"", ""Shift eastward 50 m, fly 110 m AGL, intercept next waypoint with 3° glide""]","Option G maintains safe altitude between 30–150 m AGL, avoids the moving obstacle with lateral separation, and preserves mission timing by minimizing detour. It accounts for wind drift from 135° by adjusting position eastward and ensures communication recovery before 315 s. Other choices violate AGL bounds, breach NFZ proximity, or cause collision risks." 2025-11-01T18:05:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_helicopter_suburban_dust_e1e09a2d056c_mcq.json,uavbench-mcq-v1,bridge_inspection_helicopter_suburban_dust,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,E,False,"Given 6 m/s wind at 135°, dust reducing visibility, and a drifting spherical obstacle, which sensor fusion strategy maximizes navigation integrity during close-proximity flight?","This is a bridge inspection mission using a battery-powered helicopter UAV in a suburban airspace. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors for detailed structural assessment. Operations occur within a defined geofenced area spanning 200m by 150m, with an altitude range from 10m to 120m AGL. A cylindrical no-fly zone is present near the center of the airspace, restricting access between 10m and 60m altitude within a 20m radius. The mission follows a corridor inspection pattern with five waypoints, requiring close proximity flight near infrastructure. Weather conditions include a 6 m/s wind from 135°, gusts up to 3.5 m/s, and poor visibility due to dust, which may affect sensor performance and flight stability. A moving spherical obstacle drifts westward at 2 m/s, requiring real-time avoidance. Another UAV is present in the airspace, traveling westward at 12 m/s, with separation monitoring enforced by DAA systems using 25m distance and 15s time-to-closest-approach thresholds. The UAV starts with a full 450Wh battery and must manage energy carefully, reserving 30% for safe return. The primary challenges include maintaining sensor coverage, avoiding obstacles and NFZs, and completing the mission within 600 seconds under adverse weather and dynamic traffic conditions.",Rely solely on GNSS with 5 Hz updates for position hold,Fuse LiDAR with thermal imaging at 10 Hz to track bridge surfaces,"Use RGB-OPTICAL flow only, ignoring IMU during gusts",Depend on magnetometer heading in the steel-rich bridge environment,Switch to IMU-visual odometry when visibility drops below 50m,Prioritize GNSS over LiDAR near the cylindrical no-fly zone boundary,Disable DAA inputs to reduce processing load during avoidance,"[""Rely solely on GNSS with 5 Hz updates for position hold"", ""Fuse LiDAR with thermal imaging at 10 Hz to track bridge surfaces"", ""Use RGB-OPTICAL flow only, ignoring IMU during gusts"", ""Depend on magnetometer heading in the steel-rich bridge environment"", ""Switch to IMU-visual odometry when visibility drops below 50m"", ""Prioritize GNSS over LiDAR near the cylindrical no-fly zone boundary"", ""Disable DAA inputs to reduce processing load during avoidance""]","Low visibility from dust degrades RGB and GNSS reliability; fusing visual odometry with IMU maintains pose estimation during GPS dropouts. This adaptive fusion compensates for wind-induced motion blur and preserves proximity awareness near infrastructure, ensuring safe corridor tracking when external signals are compromised." 2025-11-01T18:05:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_helicopter_volcanic_6d4f2cdd50fc_mcq.json,uavbench-mcq-v1,bridge_inspection_helicopter_volcanic,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 200 m AGL, 12 m/s west wind and thermal updrafts: which adjustment maintains lift and stability with minimal power?","This is a bridge inspection mission using a battery-powered helicopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place in a volcanic zone with a defined rectangular geofence and two no-fly zones, one static and one moving. The UAV must navigate around a central cylindrical NFZ while avoiding a dynamically moving obstacle and another UAV traveling westward. Wind increases with altitude, shifting direction and intensifying up to 12 m/s from the west at 200 meters. Thermal updrafts near the volcano create localized lift, which may affect flight stability. GNSS signals are degraded due to multipath effects and moderate electromagnetic interference, with brief communication link losses expected. The helicopter must complete a corridor-style waypoint inspection within 10 minutes while maintaining safe separation. Battery endurance is critical, with a 30% reserve required and high power consumption during hover and maneuvering. Flight altitude is constrained between 5 and 300 meters AGL, with strict separation thresholds for traffic and obstacle avoidance. The mission emphasizes reliable sensor performance and precise control in challenging environmental conditions.",Increase collective pitch slightly and nose-down attitude,Reduce rotor RPM and hold level attitude,Increase forward speed into the wind without pitch change,Descend immediately to reduce exposure to wind shear,Hover in place using GPS stabilization,Bank sharply toward the updraft to exploit lift,Maintain current airspeed and apply left yaw trim,"[""Increase collective pitch slightly and nose-down attitude"", ""Reduce rotor RPM and hold level attitude"", ""Increase forward speed into the wind without pitch change"", ""Descend immediately to reduce exposure to wind shear"", ""Hover in place using GPS stabilization"", ""Bank sharply toward the updraft to exploit lift"", ""Maintain current airspeed and apply left yaw trim""]","Increased headwind raises effective airspeed, but thermal turbulence disrupts lift symmetry. Slight collective increase compensates for vertical gusts while nose-down attitude reduces angle of attack to prevent stall and lowers induced drag. This balances power use and stability under variable density altitude and wind shear." 2025-11-01T18:05:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_hexacopter_f03b87e39466_mcq.json,uavbench-mcq-v1,bridge_inspection_hexacopter,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"Given 8.5 m/s winds, GNSS multipath near the bridge, and 30% battery reserve, which navigation strategy ensures reliable waypoint tracking?","This mission involves a hexacopter conducting a bridge inspection within a powerline corridor. The UAV operates in controlled airspace with a geofenced area and two no-fly zones, one static and one moving. Weather includes strong winds from the southwest at 8.5 m/s with gusts up to 4.2 m/s and a risk of lightning. The hexacopter is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It has a total mass of 5.2 kg, including a 0.8 kg payload, and relies on battery power with a 1200 Wh capacity. The flight must avoid a dynamic obstacle moving through the corridor and maintain separation from another UAV entering the area. GNSS signals may experience multipath interference near the bridge structure. The mission must be completed within 600 seconds, following a predefined corridor pattern with four waypoints. Battery reserve is set to 30%, and communication links face brief dropouts at two intervals. The UAV must land at the preferred site unless an emergency requires diversion.",Rely solely on GNSS with Kalman smoothing,Switch to IMU-only dead reckoning at all waypoints,Fuse LiDAR SLAM with visual odometry and IMU,Use GPS-compass for heading despite magnetic interference,Disable thermal cam to save power for GNSS updates,Increase LiDAR scan rate in high-wind gusts above 12 m/s,Trust RGB optical flow even in low-light under the bridge,"[""Rely solely on GNSS with Kalman smoothing"", ""Switch to IMU-only dead reckoning at all waypoints"", ""Fuse LiDAR SLAM with visual odometry and IMU"", ""Use GPS-compass for heading despite magnetic interference"", ""Disable thermal cam to save power for GNSS updates"", ""Increase LiDAR scan rate in high-wind gusts above 12 m/s"", ""Trust RGB optical flow even in low-light under the bridge""]","GNSS multipath near the bridge degrades positional accuracy, requiring sensor fusion to maintain integrity. LiDAR SLAM fused with visual odometry and IMU provides robust, drift-resistant localization despite wind-induced vibrations and GNSS dropouts. This approach maximizes redundancy and environmental awareness while conserving battery within reserve limits." 2025-11-01T18:05:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_forest_rain_vtol_8fa3f9eb86ce_mcq.json,uavbench-mcq-v1,bridge_inspection_forest_rain_vtol,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"A VTOL UAV inspects a bridge at 75 m AGL in rain, 11 m/s wind, and GNSS degradation. A moving spherical obstacle enters the corridor. What is optimal?","This is a bridge inspection mission using a VTOL tiltrotor UAV in a forested area. The flight occurs within a defined rectangular airspace with a cylindrical no-fly zone near the center. Weather conditions include rain, poor visibility, moderate winds up to 11 m/s, and icing potential aloft. The UAV carries an RGB camera and LiDAR payload for visual inspection but lacks thermal imaging. GNSS signals are degraded by multipath effects and electromagnetic interference, with occasional signal jamming. A separate UAV and a moving spherical obstacle traverse the airspace, requiring dynamic separation management. The mission follows a corridor pattern with low-altitude waypoints, necessitating careful navigation below 80 meters AGL. The UAV must use a runway for takeoff and landing, with a designated primary and emergency site. An icing fault event occurs mid-mission, reducing performance, and communication dropouts happen twice during the flight. Battery endurance is limited, with a 30% reserve required and significant power draw from hover and wind resistance.",Climb to 90 m AGL for better GNSS reception,Descend to 60 m AGL and delay next waypoint,Hold position at current waypoint until obstacle clears,Advance to next waypoint at 75 m AGL via direct path,"Reroute laterally, maintain 75 m AGL, avoid obstacle",Return to emergency runway due to icing fault,"Hover in place, activate LiDAR obstacle tracking","[""Climb to 90 m AGL for better GNSS reception"", ""Descend to 60 m AGL and delay next waypoint"", ""Hold position at current waypoint until obstacle clears"", ""Advance to next waypoint at 75 m AGL via direct path"", ""Reroute laterally, maintain 75 m AGL, avoid obstacle"", ""Return to emergency runway due to icing fault"", ""Hover in place, activate LiDAR obstacle tracking""]","E maintains the required 75 m AGL inspection altitude, avoids the dynamic obstacle with minimal detour, and preserves mission continuity. Other options either breach the 80 m AGL limit, waste battery, or fail to account for communication dropouts and icing degradation. E balances safety, efficiency, and sensor constraints under degraded navigation conditions." 2025-11-01T18:05:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_fog_harbor_1731e7e71fd0_mcq.json,uavbench-mcq-v1,bridge_inspection_fog_harbor,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which UAV configuration best balances endurance, obstacle avoidance, and GNSS resilience in 6 m/s winds with 30% battery reserve?","This scenario involves a bridge inspection mission conducted by a quadrotor UAV in a harbor environment. The airspace is restricted to altitudes between 5 and 80 meters AGL, with a defined polygonal geofence enclosing the area. Weather conditions include strong 6 m/s winds from 240 degrees, gusts up to 3.5 m/s, and poor visibility due to fog. The UAV is equipped with an RGB camera and LiDAR for visual inspection and obstacle detection, relying on GNSS, IMU, and barometer for navigation. A no-fly zone (NFZ) cylinder is centered at (100, 75) with a 20-meter radius and ceiling at 40 meters, requiring careful path planning. The mission follows a corridor inspection pattern with five waypoints, all to be completed within a 600-second time budget. A single intruder UAV and a moving spherical obstacle simulate dynamic traffic, requiring separation monitoring with a 10-meter threshold. Communication includes two brief downlink loss windows, potentially affecting data transmission. Battery capacity is 220 Wh, with a 30% reserve required for safe return. The UAV must maintain situational awareness despite GNSS multipath risks near structures and limited visibility.",Fixed-pitch propellers for energy efficiency and lighter weight,Dual GNSS modules with RTK and RAIM for fault-tolerant positioning,Higher-capacity 300 Wh battery without LiDAR to save power,"Aggressive corridor tracking using GNSS only, no sensor fusion",Optical flow navigation to bypass GNSS multipath near bridge,Reduced waypoint speed to 3 m/s for better camera stability,Single IMU with magnetometer-only attitude estimation,"[""Fixed-pitch propellers for energy efficiency and lighter weight"", ""Dual GNSS modules with RTK and RAIM for fault-tolerant positioning"", ""Higher-capacity 300 Wh battery without LiDAR to save power"", ""Aggressive corridor tracking using GNSS only, no sensor fusion"", ""Optical flow navigation to bypass GNSS multipath near bridge"", ""Reduced waypoint speed to 3 m/s for better camera stability"", ""Single IMU with magnetometer-only attitude estimation""]","Dual GNSS with RTK and RAIM improves positioning accuracy and fault detection in multipath-prone harbor environments. It supports reliable navigation within the 5–80 m AGL band despite wind disturbances and brief GNSS dropouts. Other options sacrifice safety, situational awareness, or robustness under dynamic obstacles and communication losses." 2025-11-01T18:05:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_glider_mountain_dust_a0ba3d0b757e_mcq.json,uavbench-mcq-v1,bridge_inspection_glider_mountain_dust,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 400 m AGL, winds increase to 15 m/s with strong shear; what airspeed and pitch adjustment maximizes lift-to-drag ratio while maintaining control?","This scenario involves a glider UAV conducting a bridge inspection mission in mountainous terrain. The flight occurs within a defined rectangular geofenced area with altitude limits between 50 and 450 meters AGL. Weather conditions include strong winds up to 15 m/s increasing with altitude, poor visibility due to dust, and significant wind shear. The UAV is equipped with a battery-powered propulsion system, carrying an RGB camera payload for visual inspection. Navigation is challenged by GNSS signal multipath, electromagnetic interference, and periodic communication link losses. A static no-fly zone surrounds the bridge structure, with an additional moving no-fly zone due to dynamic obstacles. Air traffic includes another UAV flying through the airspace, requiring separation maintenance. Thermal updrafts are present and can be exploited for energy efficiency. The mission follows a corridor inspection pattern with five waypoints and a time budget of 10 minutes. Landing sites are designated, including one preferred and two emergency options.",Increase airspeed to 22 m/s and pitch up by 3°,Decrease airspeed to 12 m/s and hold current pitch,Maintain 18 m/s and reduce pitch by 2°,Increase pitch by 5° without changing airspeed,Reduce airspeed to 10 m/s and increase bank angle,Decrease pitch by 4° and reduce airspeed to 14 m/s,Accelerate to 25 m/s and pitch down by 1°,"[""Increase airspeed to 22 m/s and pitch up by 3°"", ""Decrease airspeed to 12 m/s and hold current pitch"", ""Maintain 18 m/s and reduce pitch by 2°"", ""Increase pitch by 5° without changing airspeed"", ""Reduce airspeed to 10 m/s and increase bank angle"", ""Decrease pitch by 4° and reduce airspeed to 14 m/s"", ""Accelerate to 25 m/s and pitch down by 1°""]","Increasing airspeed to 22 m/s improves Reynolds number and boundary layer attachment, enhancing lift generation in low-density, high-wind-shear conditions. A 3° pitch-up increases angle of attack into optimal range without approaching stall, balancing lift and induced drag. This setting maximizes L/D ratio while providing margin against turbulence and wind gradient effects." 2025-11-01T18:05:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_glider_jungle_hail_27702cbca3f1_mcq.json,uavbench-mcq-v1,bridge_inspection_glider_jungle_hail,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 180s, icing reduces lift for 60s; wind is 13.5 m/s at 150m. Which action maintains mission timing and safety with traffic UAV?","This scenario involves a glider UAV conducting a bridge inspection mission in a dense jungle environment. The airspace is constrained between 10 and 150 meters AGL with a fixed polygonal geofence and two no-fly zones, one of which is dynamic and moving. Weather conditions include strong winds up to 13.5 m/s increasing with altitude, poor visibility, and active hail, posing significant flight challenges. The glider is equipped with an RGB camera for visual inspection and relies on battery power with a 30% reserve requirement. GNSS signals are degraded due to multipath effects and electromagnetic interference, complicating navigation accuracy. A traffic UAV and a moving spherical obstacle add collision risks, requiring strict separation monitoring. The mission must be completed within 600 seconds, following a corridor pattern across six waypoints while avoiding obstacles and NFZs. An icing event occurs at 180 seconds, reducing aerodynamic efficiency for one minute. Communication experiences brief uplink/downlink outages, and thermal updrafts are present but limited. The UAV must land at a preferred site unless an emergency arises, with two alternate landing zones available.",Climb to 150m for stronger updrafts and faster transit,Descend to 10m to avoid wind and icing effects,"Hold altitude, reduce speed to conserve energy",Divert to alternate landing due to battery risk,Advance to next waypoint using thermal updrafts,Delay inspection until traffic UAV clears corridor,"Proceed at 75m, coordinate separation via shared downlink","[""Climb to 150m for stronger updrafts and faster transit"", ""Descend to 10m to avoid wind and icing effects"", ""Hold altitude, reduce speed to conserve energy"", ""Divert to alternate landing due to battery risk"", ""Advance to next waypoint using thermal updrafts"", ""Delay inspection until traffic UAV clears corridor"", ""Proceed at 75m, coordinate separation via shared downlink""]","Operating at 75m balances wind exposure, obstacle clearance, and GNSS degradation. It enables sustained communication with the traffic UAV through shared downlink updates, ensuring separation during icing. This maintains the corridor schedule without violating NFZs or battery reserve." 2025-11-01T18:05:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_octocopter_warehouse_3939448f99e0_mcq.json,uavbench-mcq-v1,bridge_inspection_octocopter_warehouse,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"With 600s time limit, 30% battery reserve, and a drifting obstacle, which strategy maximizes inspection completeness while ensuring safe return?","This is an indoor bridge inspection mission conducted in a warehouse environment using an octocopter UAV. The UAV is equipped with a battery-powered electric propulsion system and carries a payload including RGB camera and LiDAR for detailed structural imaging. The mission takes place within a confined polygonal airspace bounded from 0.5 to 12 meters AGL, with a central cylindrical no-fly zone restricting access around a critical structure. Visibility is poor due to ambient dust, and light wind gusts from 120 degrees may affect stability during maneuvering. The UAV must follow a predefined corridor-style waypoint path while avoiding a moving spherical obstacle drifting along the inspection route. A second UAV is present in the airspace, traveling on a fixed trajectory, requiring strict separation management with a minimum 5-meter threshold. The flight is constrained by a 600-second time budget and must maintain safe distances to avoid DAA breaches and geofence violations. GNSS signals may suffer multipath interference due to the indoor setting, necessitating reliance on IMU, barometer, and sensor fusion for positioning. Battery reserve is set to 30%, and energy consumption is monitored closely due to high hover power and maneuvering demands. The mission concludes with a return to the preferred landing site unless an emergency requires diversion to the alternate zone.",Increase speed to finish early and save power,Descend below 0.5m to avoid obstacle and save energy,"Deactivate LiDAR, use only RGB to extend endurance","Hover until obstacle passes, then resume original path","Take direct detour, accepting 35% battery at landing",Offload sensor data continuously via high-bandwidth link,"Reduce speed, optimize path, and downsample LiDAR resolution","[""Increase speed to finish early and save power"", ""Descend below 0.5m to avoid obstacle and save energy"", ""Deactivate LiDAR, use only RGB to extend endurance"", ""Hover until obstacle passes, then resume original path"", ""Take direct detour, accepting 35% battery at landing"", ""Offload sensor data continuously via high-bandwidth link"", ""Reduce speed, optimize path, and downsample LiDAR resolution""]","Reducing speed lowers power demand during maneuvers, while path optimization avoids unnecessary detours. Downsampling LiDAR cuts energy use without losing critical data, preserving battery above 30% and ensuring safe, complete inspection within time and airspace limits." 2025-11-01T18:05:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_snowfall_682bc985b0ca_mcq.json,uavbench-mcq-v1,bridge_inspection_snowfall,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Which route navigates 5 waypoints in 600s, avoids a cylindrical NFZ, and maintains >25m separation in 5–120m AGL band with icing event?","This scenario involves a bridge inspection mission using an octocopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place in an offshore platform airspace with a defined polygonal geofence and both static and moving no-fly zones. Weather conditions include moderate snowfall, poor visibility, icing risks, and increasing wind shear with altitude, posing significant environmental challenges. The UAV must navigate within an altitude range of 5 to 120 meters AGL while avoiding a cylindrical NFZ near the bridge structure and a dynamically moving obstacle. Additional constraints include GNSS multipath effects, electromagnetic interference, and periodic communication dropouts. A second UAV is present in the airspace, requiring separation monitoring with a 25-meter minimum distance threshold. The mission follows a corridor inspection pattern with five waypoints, needing completion within 600 seconds. Battery endurance is limited, with a reserve fraction of 30% and realistic power consumption modeling under wind and drag effects. An icing fault event occurs mid-mission, reducing performance for 60 seconds, and thermal plumes are absent. Success metrics include mission completion, safety breaches, battery levels, and sensor performance under adverse conditions.",Direct path at 120m AGL; ignores wind drag and NFZ radius,Descend to 10m AGL near NFZ; risk snow visibility and icing,Fly clockwise arc around NFZ at 40m AGL; adjust for wind shear,Climb to 130m AGL for GNSS clarity; exceeds max altitude,Hover 60s during icing; disrupts time-critical waypoint sequencing,"Route through thermal plume corridor; ineffective, no plumes present",Pre-emptive lateral offset 35m from NFZ center at 60m AGL; accounts for drift and wind,"[""Direct path at 120m AGL; ignores wind drag and NFZ radius"", ""Descend to 10m AGL near NFZ; risk snow visibility and icing"", ""Fly clockwise arc around NFZ at 40m AGL; adjust for wind shear"", ""Climb to 130m AGL for GNSS clarity; exceeds max altitude"", ""Hover 60s during icing; disrupts time-critical waypoint sequencing"", ""Route through thermal plume corridor; ineffective, no plumes present"", ""Pre-emptive lateral offset 35m from NFZ center at 60m AGL; accounts for drift and wind""]","Option G maintains safe lateral separation from the NFZ while operating within the 5–120m AGL band and compensating for GNSS drift and wind-induced navigation errors. It avoids time penalties from hovering or inefficient altitudes, preserving battery and schedule. Other options violate altitude limits, ignore dynamic obstacles, or fail under sensor and environmental constraints." 2025-11-01T18:05:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_rainy_suburban_ea803372ca63_mcq.json,uavbench-mcq-v1,bridge_inspection_rainy_suburban,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During a GNSS outage and downlink failure at 85 m AGL in rain with 5.2 kg payload, how should the UAV maintain secure, stable flight?","Heavy-lift UAV conducts a bridge inspection in suburban airspace under rainy conditions with poor visibility and icing risks. The mission occurs within a defined geofenced corridor, avoiding a central no-fly zone cylinder near the bridge structure. Strong winds from the southwest and gusts challenge stability during low-altitude flight operations. Equipped with RGB and thermal cameras, LiDAR, and full suite of sensors, the UAV carries a 5.2 kg inspection payload. Flight is constrained by strict altitude limits between 15 and 120 meters AGL. A moving spherical obstacle simulates dynamic hazards near the inspection path. Conflict avoidance is required with another UAV flying nearby at similar altitude. GNSS multipath effects are possible due to suburban structures and weather-induced signal degradation. An icing event reduces performance midway through the mission, increasing power draw and reducing lift efficiency. Communication experiences a brief downlink outage, requiring onboard data storage and autonomous decision-making.",Switch to encrypted inertial/LiDAR navigation with authenticated control loops,Rely on last known GNSS fix until signal recovery,Descend immediately using unencrypted telemetry feedback,Increase throttle to maintain altitude despite icing effects,Broadcast position openly to coordinate with nearby UAV,Hand over control to unsecured ground override link,Use raw thermal camera data for terrain stabilization,"[""Switch to encrypted inertial/LiDAR navigation with authenticated control loops"", ""Rely on last known GNSS fix until signal recovery"", ""Descend immediately using unencrypted telemetry feedback"", ""Increase throttle to maintain altitude despite icing effects"", ""Broadcast position openly to coordinate with nearby UAV"", ""Hand over control to unsecured ground override link"", ""Use raw thermal camera data for terrain stabilization""]","A ensures integrity and availability by using trusted sensor fusion and encrypted control during GNSS and comms loss. It maintains control stability via authenticated loops and avoids spoofing risks. Other options expose the UAV to spoofing, instability, or unsecured channels." 2025-11-01T18:05:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_snowfall_hexacopter_1a68fd53144c_mcq.json,uavbench-mcq-v1,bridge_inspection_snowfall_hexacopter,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 110m AGL, moderate snow and -75 dBm jamming occur. A dynamic no-fly zone drifts in. What should the UAV do within 600 seconds?","This scenario involves a bridge inspection mission using a hexacopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs near an airport perimeter, requiring strict adherence to controlled airspace rules. Weather conditions include moderate snowfall, poor visibility, icing risks, and increasing wind speeds with altitude. The UAV must operate between 10 and 120 meters AGL within a defined polygonal geofence, avoiding static and moving no-fly zones. A dynamic no-fly zone drifts slowly through the area, and a moving spherical obstacle simulates shifting structures or machinery. The mission follows a corridor inspection pattern with five waypoints, prioritizing coverage while maintaining separation from obstacles and protected zones. GNSS signals are degraded due to multipath effects and electromagnetic interference, with a jamming level of -75 dBm, challenging navigation reliability. A simulated icing event occurs mid-mission, reducing performance for two minutes, and brief communication dropouts are expected. The UAV must return safely within a 600-second time limit, avoiding collisions and maintaining minimum separation from an intruding UAV approaching from beyond the perimeter. Battery endurance is critical, with a 30% reserve required, and successful mission completion depends on navigating environmental and system challenges without breaching safety thresholds.",Descend to 80m AGL and continue the corridor pattern,Climb to 120m AGL for better GNSS signal clarity,"Proceed to next waypoint at 110m AGL, ignoring drift",Divert immediately to nearest runway at 30m AGL,Hover at current position until no-fly zone passes,Accelerate to complete waypoints before icing event,Return to home with 30% battery reserve now,"[""Descend to 80m AGL and continue the corridor pattern"", ""Climb to 120m AGL for better GNSS signal clarity"", ""Proceed to next waypoint at 110m AGL, ignoring drift"", ""Divert immediately to nearest runway at 30m AGL"", ""Hover at current position until no-fly zone passes"", ""Accelerate to complete waypoints before icing event"", ""Return to home with 30% battery reserve now""]","Descending to 30m AGL reduces exposure to wind and icing risks while improving GNSS multipath conditions near ground. It ensures separation from the drifting no-fly zone and conserves battery for safe return. Continuing or climbing increases collision, navigation, or endurance risks." 2025-11-01T18:05:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_vtol_rain_harbor_04b34b135a9d_mcq.json,uavbench-mcq-v1,bridge_inspection_vtol_rain_harbor,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"With 11 m/s wind, rain, and GNSS multipath, which navigation mode ensures integrity during transition at 60m AGL?","This is a bridge inspection mission conducted in a harbor airspace using a VTOL tiltrotor UAV equipped with RGB camera and LiDAR payload. The flight occurs under poor visibility with moderate rain and icing conditions, and wind increases with altitude up to 11 m/s from the southwest. The UAV operates within a confined 200x150m polygonal geofence, between 5m and 120m AGL, avoiding two no-fly zones—one static and one moving cylinder. A dynamic obstacle drifts through the airspace, and another UAV traffics inbound, requiring separation management. GNSS signals suffer from multipath and moderate jamming, while electromagnetic interference may affect avionics. The mission requires a runway approach for landing and includes a planned transition between hover and forward flight. A simulated icing event reduces performance midway through the flight, compounding weather challenges. Battery reserves are set to 30%, with energy consumption impacted by wind and drag from the payload. Communication experiences brief loss windows, and navigation must account for sensor limitations in this complex maritime environment. The UAV must complete its corridor-style waypoint path within 10 minutes while maintaining safe separation and avoiding all obstacles and airspace violations.",Use pure GNSS for stable hover control,Rely solely on LiDAR point clouds in low visibility,Fuse IMU with visual odometry during GNSS outages,Disable sensor fusion to reduce processing lag,Trust magnetic heading despite harbor interference,Switch to barometer-only altitude hold in rain,Follow waypoints using uncorrected drift-prone GPS,"[""Use pure GNSS for stable hover control"", ""Rely solely on LiDAR point clouds in low visibility"", ""Fuse IMU with visual odometry during GNSS outages"", ""Disable sensor fusion to reduce processing lag"", ""Trust magnetic heading despite harbor interference"", ""Switch to barometer-only altitude hold in rain"", ""Follow waypoints using uncorrected drift-prone GPS""]","GNSS suffers multipath and jamming, while rain and fog limit LiDAR and visual clarity. Fusing IMU with visual odometry maintains pose estimation by leveraging inertial stability and camera data where available. This adaptive fusion compensates for GNSS gaps and environmental noise, ensuring reliable transition at critical altitude." 2025-11-01T18:05:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_border_patrol_hexacopter_e76845e12b3b_mcq.json,uavbench-mcq-v1,coastal_border_patrol_hexacopter,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 120 m AGL, 140 s into flight, GNSS jamming hits -75 dBm with hail onset; what action minimizes risk while staying in 10–150 m AGL?","This mission involves a hexacopter conducting a coastal border patrol and search-rescue operation. The UAV operates in a defined coastal airspace with a static no-fly zone at the center and a moving no-fly zone drifting slowly. Weather includes strong winds up to 15 m/s at higher altitudes, gusts, and hazardous hail. The hexacopter is equipped with radar, RGB and thermal cameras, and relies on GNSS, IMU, and other sensors for navigation. It faces GNSS jamming at -75 dBm and electromagnetic interference, with a simulated GNSS jamming fault and a motor failure event. The UAV must avoid a dynamic no-fly zone, a moving spherical obstacle, and maintain separation from another UAV. Operations are constrained by altitude limits (10–150 m AGL) and a geofenced rectangular area. Downlink communication is intermittently lost during two critical time windows. The hexacopter must complete its waypoint corridor pattern within 600 seconds while managing battery reserves and fault conditions.",Climb to 150 m for clearer GNSS,Descend to 10 m to avoid hail,Hold altitude and reduce speed,Descend to 50 m and slow down,Turn right to exit windward side,Proceed straight at 120 m,Dive to 10 m and accelerate,"[""Climb to 150 m for clearer GNSS"", ""Descend to 10 m to avoid hail"", ""Hold altitude and reduce speed"", ""Descend to 50 m and slow down"", ""Turn right to exit windward side"", ""Proceed straight at 120 m"", ""Dive to 10 m and accelerate""]","Descending to 50 m reduces hail and wind exposure while staying above minimum safe altitude. It mitigates GNSS multipath risk better than 10 m and conserves energy versus climbing. Other options violate altitude limits, increase icing risk, or ignore fault propagation." 2025-11-01T18:05:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Offshore_Border_Patrol_with_Glider_4a560d9af9eb_mcq.json,uavbench-mcq-v1,Offshore_Border_Patrol_with_Glider,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,D,A,False,"At 420 m AGL, moderate winds increase with altitude. A moving NFZ drifts northeast. Should the UAV descend, hold, or divert?","This is an offshore border patrol mission using a fixed-wing glider UAV in controlled airspace near an offshore platform. The UAV operates within a defined polygonal geofence, between 50 and 450 meters above ground level. Weather includes moderate winds increasing with altitude, good visibility, and no precipitation, but features thermal updrafts and gusts. The glider is equipped with radar, RGB and thermal cameras, and standard navigation sensors, powered by a 450 Wh battery. Key constraints include a static no-fly zone around a central platform and a moving no-fly zone drifting northeast. Additional challenges include GNSS multipath effects, electromagnetic interference, and brief communication loss windows. The UAV must avoid collisions with a moving obstacle and another UAV on a crossing path, maintaining at least 50 meters separation. The mission requires completing a rectangular survey pattern while managing energy efficiently and staying within altitude and geofence limits. Launch is from a mid-altitude hover point, with preferred and emergency landing zones designated. Success depends on mission completion, battery reserves, and avoiding breaches of safety or airspace constraints.",Descend to 300 m AGL to reduce wind exposure,Climb to 450 m AGL for better thermal lift,Hold heading and altitude to maintain survey timing,Divert east to pre-clear emergency landing zone,Turn west to avoid GNSS multipath near platform,Accelerate to exit moving NFZ before expansion,Ascend to 480 m AGL for improved communication,"[""Descend to 300 m AGL to reduce wind exposure"", ""Climb to 450 m AGL for better thermal lift"", ""Hold heading and altitude to maintain survey timing"", ""Divert east to pre-clear emergency landing zone"", ""Turn west to avoid GNSS multipath near platform"", ""Accelerate to exit moving NFZ before expansion"", ""Ascend to 480 m AGL for improved communication""]","The UAV must stay below 450 m AGL; climbing violates altitude limits. Option A reduces exposure to stronger winds while preserving energy and avoiding the northeast-drifting NFZ. It maintains separation, complies with constraints, and enhances control during communication loss windows." 2025-11-01T18:05:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_bridge_inspection_octocopter_a5a58bc566b2_mcq.json,uavbench-mcq-v1,coastal_bridge_inspection_octocopter,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,"UAV at (20,20,30) must inspect 5 waypoints in 900s, avoid NFZs, and maintain 25m separation with 8.5 m/s west wind.","This scenario involves a coastal bridge inspection mission using an octocopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs in a coastal airspace with good visibility but includes icing conditions and moderate wind at 8.5 m/s from the west, increasing with altitude. The UAV must operate within a defined polygonal geofence between 5 and 120 meters AGL, avoiding a static no-fly zone near the bridge and a moving no-fly zone drifting southwest. A second UAV and a moving spherical obstacle traverse the area, requiring strict separation maintained through DAA thresholds of 25 meters and 15 seconds TTC. The octocopter carries a 1.2 kg payload and relies on battery power with a 1200 Wh capacity, reserving 30% for safe return. GNSS performance is degraded due to jamming at -85 dBm and electromagnetic interference, increasing navigation risk. An icing fault event occurs mid-mission, reducing performance for 120 seconds, while brief communication dropouts affect uplink and downlink. The mission follows a corridor inspection pattern with five waypoints, requiring precise path tracking within a 900-second time limit. Key constraints include avoiding NFZ breaches, maintaining GNSS signal integrity, managing battery reserves, and ensuring minimal separation from traffic and obstacles. The UAV spawns at (20, 20, 30) and aims to return to the same point after completing the inspection.","Fly direct to W1 at 60m AGL, then follow sequence maintaining 50m lateral clearance from bridge.","Ascend to 110m AGL to improve GNSS signal, proceed clockwise around bridge exterior.",Delay mission start by 90s to allow moving obstacle to exit geofence boundary.,"Reroute south of bridge, descend to 10m AGL, and proceed counterclockwise to reduce wind exposure.","Proceed to W2 first, then W1, accepting 22m separation from second UAV at closest approach.","Follow planned corridor at 65m AGL, adjusting heading 12° east to compensate for west wind drift.","Divert southwest to bypass spherical obstacle, reducing speed to 3 m/s within 50m radius.","[""Fly direct to W1 at 60m AGL, then follow sequence maintaining 50m lateral clearance from bridge."", ""Ascend to 110m AGL to improve GNSS signal, proceed clockwise around bridge exterior."", ""Delay mission start by 90s to allow moving obstacle to exit geofence boundary."", ""Reroute south of bridge, descend to 10m AGL, and proceed counterclockwise to reduce wind exposure."", ""Proceed to W2 first, then W1, accepting 22m separation from second UAV at closest approach."", ""Follow planned corridor at 65m AGL, adjusting heading 12° east to compensate for west wind drift."", ""Divert southwest to bypass spherical obstacle, reducing speed to 3 m/s within 50m radius.""]","Maintains optimal altitude within geofence, compensates for 8.5 m/s west wind to ensure precise waypoint tracking. Ensures NFZ avoidance, battery efficiency, and meets time constraint while preserving 25m separation." 2025-11-01T18:05:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_corridor_follow_HAPS_f5751404d6fc_mcq.json,uavbench-mcq-v1,coastal_corridor_follow_HAPS,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,UAV must complete coastal survey in 10 minutes; winds reach 16.5 m/s at 1500 m with comms loss and a drifting obstacle at 1200 m.,"High-altitude pseudo-satellite UAV conducts a coastal corridor survey mission. Operating between 800 and 1800 meters AGL over a rectangular coastal airspace. Winds increase with altitude, from 8.5 m/s at sea level to 16.5 m/s at 1500 m. UAV equipped with radar, RGB and thermal cameras for persistent surveillance. Strong EM interference and periodic comms loss affect data downlink. No-fly zones include a static cylinder near the center and a moving exclusion zone. A second UAV and a drifting spherical obstacle require dynamic separation. GNSS is reliable with no multipath but mild jamming at -95 dBm. Mission requires completing a north-south corridor within 10 minutes. Thermal updrafts at (1200, 3500) offer potential lift for energy conservation.",Climb to 1800 m for stable GNSS and faster winds to save time,Descend to 800 m to minimize wind impact and avoid obstacle,Fly direct route at 1500 m to maximize sensor coverage,Abort mission due to comms loss and return to base,Reroute around drifting obstacle ignoring thermal updraft,Enter static no-fly zone briefly to stay on schedule,Prioritize corridor completion despite mild GNSS jamming,"[""Climb to 1800 m for stable GNSS and faster winds to save time"", ""Descend to 800 m to minimize wind impact and avoid obstacle"", ""Fly direct route at 1500 m to maximize sensor coverage"", ""Abort mission due to comms loss and return to base"", ""Reroute around drifting obstacle ignoring thermal updraft"", ""Enter static no-fly zone briefly to stay on schedule"", ""Prioritize corridor completion despite mild GNSS jamming""]","Descending to 800 m reduces collision risk with the drifting obstacle and strong winds, enhancing control during comms loss. It complies with airspace rules and prioritizes safety over mission speed. Other options increase risk to navigation, violate no-fly zones, or underestimate environmental hazards." 2025-11-01T18:05:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_haps_snow_32ade9da5894_mcq.json,uavbench-mcq-v1,bridge_inspection_haps_snow,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 280 m AGL, 420 s into mission, UAV encounters severe icing. Winds 8 m/s west, moving zone shifts NE at 1.4 m/s. What immediate action minimizes risk?","This UAV mission involves a high-altitude pseudo-satellite conducting a bridge inspection in a dense urban environment. The aircraft operates between 50 and 300 meters AGL within a defined polygonal geofence. Weather conditions include moderate winds of 8 m/s from the west, increasing with altitude, along with snowfall, poor visibility, and icing risks. The UAV is equipped with a comprehensive sensor suite including RGB and thermal cameras, LiDAR, radar, and GNSS/IMU navigation. Key constraints include a static no-fly zone near the bridge and a moving restricted zone shifting northeast at 1.4 m/s. GNSS signals are degraded due to urban multipath and electromagnetic interference, with brief communication outages expected. The aircraft must follow a corridor inspection pattern, avoid collisions with static and moving obstacles, and maintain separation from other air traffic. A critical icing event occurs mid-mission, reducing performance for one minute. The UAV must complete its mission within 600 seconds and land using a designated runway approach. Battery endurance and energy management are crucial due to high hover power demands and environmental drag.",Descend to 60 m AGL and continue inspection,Climb to 310 m AGL for smoother airflow,Hold altitude and reduce speed to conserve energy,Divert immediately to runway approach southwest,Turn east to exit moving restricted zone,"Ascend to 300 m AGL, then proceed northeast",Descend to 100 m AGL and hover until icing clears,"[""Descend to 60 m AGL and continue inspection"", ""Climb to 310 m AGL for smoother airflow"", ""Hold altitude and reduce speed to conserve energy"", ""Divert immediately to runway approach southwest"", ""Turn east to exit moving restricted zone"", ""Ascend to 300 m AGL, then proceed northeast"", ""Descend to 100 m AGL and hover until icing clears""]","Descending or holding increases exposure to icing and urban multipath below 150 m AGL. Continuing northeast violates the moving restricted zone. Diverting immediately preserves energy, avoids both NFZs, and ensures runway access within endurance. Only D satisfies time, separation, and landing requirements under degraded performance." 2025-11-01T18:05:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_dust_mapping_octocopter_e2daf3090ca4_mcq.json,uavbench-mcq-v1,coastal_dust_mapping_octocopter,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"At 125 s, wind gusts exceed 11 m/s at 50 m AGL while downlink fails; what action maintains safety and mission integrity?","This mission involves a coastal dust mapping operation using an octocopter UAV equipped with RGB camera and LIDAR payload. The flight occurs in a designated coastal airspace with a rectangular geofenced area and both static and moving no-fly zones. Weather conditions include strong westerly winds up to 12 m/s at higher altitudes, gusts, poor visibility, and active dust phenomena. The octocopter has a total mass of 8.5 kg, including a 1.2 kg payload, and relies on battery power with a 30% reserve requirement. GNSS signals are degraded due to multipath effects and electromagnetic interference, with occasional signal jamming. The UAV must maintain separation from a static cylindrical NFZ centered at (400, 300) and avoid a dynamically moving obstacle near (200, 150) traveling at 2.5 m/s. Additional hazards include a drifting moving obstacle and another UAV flying through the area at 15 m/s on a fixed trajectory. Flight altitude is constrained between 10 m and 120 m AGL, with the mapping mission planned at 50 m altitude in a grid pattern. Communication links experience brief downlink outages between 120–135 s and 400–410 s, requiring robust data handling. The mission must be completed within 600 seconds, with success dependent on coverage, battery endurance, and strict adherence to safety constraints.",Descend to 15 m AGL and continue grid pattern,Climb to 110 m AGL to avoid moving obstacle,Hold position at 50 m AGL until communication restores,Abort mission and return via shortest path,Divert to 70 m AGL and delay grid until 410 s,Enter static NFZ to reduce wind exposure,Increase speed to complete grid before 400 s,"[""Descend to 15 m AGL and continue grid pattern"", ""Climb to 110 m AGL to avoid moving obstacle"", ""Hold position at 50 m AGL until communication restores"", ""Abort mission and return via shortest path"", ""Divert to 70 m AGL and delay grid until 410 s"", ""Enter static NFZ to reduce wind exposure"", ""Increase speed to complete grid before 400 s""]","Descending to 15 m AGL reduces wind exposure and maintains VLOS compliance while staying above minimum altitude. It avoids NFZs, preserves battery for 30% reserve, and mitigates communication loss by reducing energy use. Other options violate separation, altitude limits, or increase risk during signal degradation." 2025-11-01T18:05:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_harbor_hail_octocopter_57b6bc7a6dd2_mcq.json,uavbench-mcq-v1,bridge_inspection_harbor_hail_octocopter,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Which path avoids the NFZ at (100,75) between 15–50 m, maintains 25 m separation from the second UAV, and completes within 600 s?","This UAV mission is a bridge inspection conducted in a harbor airspace using an octocopter equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The octocopter has a total mass of 9.7 kg, including a 1.2 kg payload, and is powered by a 450 Wh battery with a 30% reserve requirement. Operations take place in poor visibility with hail and strong winds from 240° at 8.5 m/s, including gusts up to 4.5 m/s. The flight envelope is confined between 10 m and 120 m AGL within a rectangular geofenced area of 200x150 meters. A cylindrical no-fly zone with a 20 m radius is centered at (100, 75) between 15 m and 50 m altitude, requiring careful path planning. The mission follows a corridor inspection pattern with five waypoints, must be completed within 600 seconds, and begins at (20, 20, 25) with a northward heading. A second UAV is present, flying at 12 m/s on a westbound trajectory, requiring separation management with a 25 m minimum distance and 15 s time-to-close threshold. A moving spherical obstacle drifts slowly at (80, 50, 35), adding dynamic collision risk. Communication experiences two brief downlink loss windows, and an icing event occurs at 200 seconds, lasting one minute with moderate severity, potentially affecting aerodynamics and sensor performance.","Direct route via (60,40,30), then (100,75,40), (140,60,35)","Climb to 55 m, cross NFZ center, descend after 200 s","Fly (20,20,25) → (55,35,52) → (145,70,48), avoid westbound UAV","Descend to 12 m, bypass NFZ south, track moving obstacle","Head east to (80,50,35), inspect bridge, ignore separation","Delay launch 30 s, fly straight through NFZ at 45 m","Route (20,20,25) → (58,32,52) → (142,68,49), adjust for wind","[""Direct route via (60,40,30), then (100,75,40), (140,60,35)"", ""Climb to 55 m, cross NFZ center, descend after 200 s"", ""Fly (20,20,25) → (55,35,52) → (145,70,48), avoid westbound UAV"", ""Descend to 12 m, bypass NFZ south, track moving obstacle"", ""Head east to (80,50,35), inspect bridge, ignore separation"", ""Delay launch 30 s, fly straight through NFZ at 45 m"", ""Route (20,20,25) → (58,32,52) → (142,68,49), adjust for wind""]","Option G avoids the NFZ by routing above 50 m and outside its 20 m radius, maintains vertical and lateral separation from the second UAV. It accounts for 240° headwinds by adjusting groundspeed and optimizes energy use, completing within 600 s despite gusts and icing at 200 s." 2025-11-01T18:05:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_corridor_sandstorm_HAPS_7c0ca3b71ef7_mcq.json,uavbench-mcq-v1,coastal_corridor_sandstorm_HAPS,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,Three UAVs survey a coastal corridor at 300–1200 m AGL with 18 m/s winds and degraded GNSS; intermittent downlinks. How to optimize energy and mission success?,"High-altitude pseudo-satellite UAV conducts a coastal corridor survey mission. Operating between 300 and 1200 meters AGL in a defined polygonal airspace. Severe sandstorm conditions with poor visibility and strong, gusting winds. Wind speed increases with altitude, reaching up to 18 m/s from the west-southwest. UAV equipped with radar, RGB camera, and standard navigation sensors. Mission includes dynamic and static no-fly zones, one of which moves over time. Swarm of three UAVs must maintain 50-meter separation and fulfill distinct roles. GNSS signals are degraded due to jamming and electromagnetic interference. Downlink communication fails intermittently during critical mission windows. Autonomous navigation is challenged by limited visibility, sensor constraints, and energy management.",Ascend to 1200 m for faster downlink transmission and clearer radar returns,Operate at 300 m AGL to reduce wind exposure and conserve battery,Disable RGB camera to save power and increase radar scan frequency,Increase swarm separation to 100 m to avoid collision in low visibility,Activate high-power GNSS jamming countermeasures continuously,Offload all image processing to ground station via repeated retransmissions,Rotate roles hourly to balance sensor wear and communication load,"[""Ascend to 1200 m for faster downlink transmission and clearer radar returns"", ""Operate at 300 m AGL to reduce wind exposure and conserve battery"", ""Disable RGB camera to save power and increase radar scan frequency"", ""Increase swarm separation to 100 m to avoid collision in low visibility"", ""Activate high-power GNSS jamming countermeasures continuously"", ""Offload all image processing to ground station via repeated retransmissions"", ""Rotate roles hourly to balance sensor wear and communication load""]","Flying at 300 m AGL minimizes exposure to strong 18 m/s winds, reducing propulsion power demand and conserving battery. Lower altitude improves sensor efficiency under poor visibility and compensates for intermittent downlinks by shortening transmission windows. This maximizes endurance while maintaining mission coverage within energy limits." 2025-11-01T18:05:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_hot_environment_d65786af4265_mcq.json,uavbench-mcq-v1,bridge_inspection_hot_environment,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Given 1200 Wh battery, 2.3 kg payload, and 30% reserve, which strategy maximizes inspection time within 600 s under wind and comms constraints?","This UAV scenario involves a bridge inspection mission near an offshore platform in hot environmental conditions. The helicopter-type UAV operates within a defined airspace bounded by a polygonal geofence and altitude limits from 10 to 120 meters AGL. Strong winds increase with altitude, reaching up to 14.5 m/s from 245 degrees at 100 meters, with gusts up to 4.2 m/s and significant wind shear. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, carrying a 2.3 kg payload under battery power with a 1200 Wh capacity. Key constraints include a static no-fly zone above the bridge area and a moving no-fly cylinder that shifts southwest at 2.5 m/s. Thermal updrafts of 1.8 m/s occur near equipment, and GNSS signals suffer from multipath interference, jamming at -95 dBm, and electromagnetic interference. Air traffic includes another UAV moving west at 12 m/s, requiring separation maintenance of at least 25 meters and 15 seconds time-to-closest approach. Communication experiences brief downlink losses between 120–130 and 450–465 seconds with minimum RSSI at -87 dBm. The mission follows a corridor inspection pattern with five waypoints and must complete within 600 seconds. Battery reserve is set at 30%, and emergency landing options are available outside the primary site.",Fly highest to avoid wind shear and extend visibility,Reduce thermal camera frame rate to save power,Increase speed to complete waypoints before battery drain,Circle near equipment to use updrafts for lift,Transmit all LiDAR data continuously at full bandwidth,Descend to 15 m AGL to minimize wind resistance,Maintain 100 m altitude for optimal GNSS signal reception,"[""Fly highest to avoid wind shear and extend visibility"", ""Reduce thermal camera frame rate to save power"", ""Increase speed to complete waypoints before battery drain"", ""Circle near equipment to use updrafts for lift"", ""Transmit all LiDAR data continuously at full bandwidth"", ""Descend to 15 m AGL to minimize wind resistance"", ""Maintain 100 m altitude for optimal GNSS signal reception""]","Reducing thermal camera frame rate lowers power draw, preserving battery for propulsion and navigation in high-wind conditions. This extends effective inspection time while staying within the 1200 Wh budget and 30% reserve. Other options increase energy use or expose the UAV to greater aerodynamic or communication risks." 2025-11-01T18:05:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_helicopter_touch_and_go_fadf5d60f1d4_mcq.json,uavbench-mcq-v1,coastal_helicopter_touch_and_go,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 8 m/s westerly wind with 4 m/s gusts, what action maintains lift and control during touch-and-go below 120 m AGL?","The mission is a runway touch-and-go operation conducted in a coastal airspace. The UAV is a dual-rotor helicopter powered by a 1500 Wh battery, carrying a 5 kg payload with RGB camera and LIDAR sensors. It operates within an altitude range of 5 to 120 meters AGL, following a custom waypoint pattern near a defined runway aligned eastward. A cylindrical no-fly zone of 50-meter radius and 60-meter ceiling is located near the runway area, requiring careful navigation. The environment features strong westerly winds at 8 m/s with gusts up to 4 m/s and a risk of microbursts, increasing flight hazards. A second UAV moves westward at 20 m/s, and a moving spherical obstacle drifts leftward at 5 m/s, both requiring separation management. The DAA system enforces a 25-meter separation and 15-second time-to-closest-approach threshold. The UAV must handle a partial motor failure at 300 seconds lasting 10 seconds, while maintaining GNSS and communication integrity despite a brief downlink loss between 120–130 seconds. Mission success depends on completing the touch-and-go without collisions, geofence breaches, or violating separation constraints.",Increase collective pitch to boost lift abruptly,Reduce airspeed to minimize gust loading effects,Align heading into wind with slight forward cyclic,Descend rapidly to avoid microburst-induced downdrafts,Bank sharply to evade the moving spherical obstacle,Apply full lateral cyclic to counteract rotor asymmetry,Maintain constant throttle during transition phase,"[""Increase collective pitch to boost lift abruptly"", ""Reduce airspeed to minimize gust loading effects"", ""Align heading into wind with slight forward cyclic"", ""Descend rapidly to avoid microburst-induced downdrafts"", ""Bank sharply to evade the moving spherical obstacle"", ""Apply full lateral cyclic to counteract rotor asymmetry"", ""Maintain constant throttle during transition phase""]","Aligning into the wind increases relative airflow over rotors, enhancing lift and control authority during low-altitude maneuvers. This reduces induced drag and improves wind gust tolerance by maximizing effective airspeed. Other options either induce stall, reduce controllability, or disrupt lift-thrust equilibrium." 2025-11-01T18:05:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bvlos_helicopter_dust_test_baaece4a3d2a_mcq.json,uavbench-mcq-v1,bvlos_helicopter_dust_test,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 450 seconds, UAV1 must reroute due to dynamic no-fly zone incursion, 60s remaining, and link degradation affecting UAV2 coordination.","This is a BVLOS delivery mission using a battery-powered helicopter UAV in dense urban airspace. The UAV carries an RGB camera and LiDAR payload for navigation and situational awareness. Operations occur in poor visibility due to dust, with strong winds increasing with altitude and significant wind shear. The environment includes GNSS multipath, electromagnetic interference, and moderate GNSS jamming. The flight envelope is constrained between 10 m and 150 m AGL within a defined geofenced area. A static no-fly zone blocks the central area, and a dynamic no-fly zone moves through the airspace. A second UAV and a moving spherical obstacle require collision avoidance. The mission must be completed within 600 seconds, following a corridor route via three waypoints. Communication experiences brief uplink/downlink outages, and strict separation minima are enforced for detect-and-avoid compliance.",Ascend to 150 m for clearer LOS and resume original route,"Divert east, increase speed to 18 m/s, accept 10s delay","Hold at 50 m, wait for UAV2 to confirm obstacle trajectory","Descend to 10 m, use LiDAR to penetrate dust, proceed direct","Broadcast intent, synchronize reroute with UAV2 via mesh","Continue as planned, rely on GNSS for collision avoidance","Abort mission, return to base to preserve battery","[""Ascend to 150 m for clearer LOS and resume original route"", ""Divert east, increase speed to 18 m/s, accept 10s delay"", ""Hold at 50 m, wait for UAV2 to confirm obstacle trajectory"", ""Descend to 10 m, use LiDAR to penetrate dust, proceed direct"", ""Broadcast intent, synchronize reroute with UAV2 via mesh"", ""Continue as planned, rely on GNSS for collision avoidance"", ""Abort mission, return to base to preserve battery""]",Coordinated rerouting via mesh ensures inter-agent situational awareness despite uplink degradation. It maintains separation minima and avoids conflict with the moving obstacle and UAV2. This preserves mission timeline and adheres to BVLOS detect-and-avoid requirements under GNSS degradation. 2025-11-01T18:05:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_medical_delivery_hexacopter_84e0f07eed14_mcq.json,uavbench-mcq-v1,coastal_medical_delivery_hexacopter,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"Given 8.5 m/s winds, 120–135 s comms loss, and dynamic no-fly zone moving southwest, which action ensures mission success with another UAV and obstacle present?","This scenario involves a medical delivery mission using a battery-powered hexacopter in coastal airspace. The UAV operates within a defined rectangular geofence, flying between 10 and 120 meters AGL. It carries a 1.2 kg payload with RGB camera and LiDAR sensors for navigation and monitoring. Weather includes a 8.5 m/s wind from 240 degrees with moderate gusts, but good visibility and no precipitation. A static no-fly zone is present near the center of the airspace, and a dynamic no-fly zone moves southwest, requiring real-time avoidance. Another UAV and a moving spherical obstacle travel through the area, necessitating separation of at least 25 meters and monitoring of time-to-closest-approach. The mission must be completed within 600 seconds, following a corridor route through four waypoints ending at the preferred landing site. Communication experiences a brief uplink/downlink loss window between 120 and 135 seconds. GNSS signals may suffer from multipath effects near terrain or structures, and the UAV must manage battery reserves carefully to ensure safe completion.",Proceed directly through center to save battery and time,Climb to 130 m AGL for better GNSS reception and visibility,Delay takeoff to avoid dynamic no-fly zone timing conflict,Adjust route southwest early to preemptively avoid moving zone,Share real-time LiDAR data with other UAV during comms window,Descend to 5 m AGL to reduce wind resistance and conserve power,Hover at Waypoint 2 until 135 s to wait out comms disruption,"[""Proceed directly through center to save battery and time"", ""Climb to 130 m AGL for better GNSS reception and visibility"", ""Delay takeoff to avoid dynamic no-fly zone timing conflict"", ""Adjust route southwest early to preemptively avoid moving zone"", ""Share real-time LiDAR data with other UAV during comms window"", ""Descend to 5 m AGL to reduce wind resistance and conserve power"", ""Hover at Waypoint 2 until 135 s to wait out comms disruption""]","Sharing LiDAR data during the brief 120–135 s comms window enables cooperative obstacle tracking and deconflicts paths with the other UAV. This maintains situational awareness despite GNSS multipath and dynamic obstacles. Other options risk collision, geofence violation, or inefficient energy use." 2025-11-01T18:05:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_medical_delivery_glider_aba75ddfbbec_mcq.json,uavbench-mcq-v1,coastal_medical_delivery_glider,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"A glider UAV must deliver a 1.0 kg payload within 600 s, avoid a moving no-fly zone, and maintain 50 m separation from a second UAV.","This scenario involves a medical delivery mission using a fixed-wing glider UAV in a coastal airspace. The glider carries a 1.0 kg payload and is equipped with RGB and thermal cameras for payload monitoring and navigation. Flight occurs between 30 m and 450 m AGL within a defined polygonal geofence, with a static no-fly zone near the center and a moving no-fly zone drifting northwest. The mission must be completed within 600 seconds, following a corridor pattern through four waypoints before returning to the starting point. Moderate winds increase with altitude, shifting direction from 240° to 270°, and thermal updrafts are present at two locations to potentially aid lift. GNSS multipath effects and mild jamming are present, challenging navigation reliability. A second UAV and a moving spherical obstacle traverse the airspace, requiring detect-and-avoid compliance with a 50 m separation minimum. The UAV must use a runway for takeoff and landing, with preferred and emergency landing sites designated at opposite corners. Battery endurance is critical, with a 30% reserve required and communication dropouts scheduled twice during the flight. The glider must balance energy efficiency, obstacle avoidance, and environmental conditions to complete the delivery safely.",Fly direct route to maximize time overhead at delivery point,Delay launch until moving no-fly zone exits primary corridor,Ascend to 450 m for stronger tailwinds and improved GNSS signal,Coordinate with second UAV to time corridor entry with 55 m separation,Use thermal updrafts near waypoint 2 and 3 to extend endurance,Reroute to emergency landing if communication dropout lasts >45 s,Shed payload early to gain speed and avoid spherical obstacle collision,"[""Fly direct route to maximize time overhead at delivery point"", ""Delay launch until moving no-fly zone exits primary corridor"", ""Ascend to 450 m for stronger tailwinds and improved GNSS signal"", ""Coordinate with second UAV to time corridor entry with 55 m separation"", ""Use thermal updrafts near waypoint 2 and 3 to extend endurance"", ""Reroute to emergency landing if communication dropout lasts >45 s"", ""Shed payload early to gain speed and avoid spherical obstacle collision""]","Coordinating corridor entry timing ensures 55 m separation, satisfying detect-and-avoid requirements while maintaining mission schedule. This choice preserves energy, respects dynamic no-fly zones, and enables both UAVs to complete tasks without conflict or unnecessary detours." 2025-11-01T18:05:41Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_lost_link_rtl_4ed71a35579e_mcq.json,uavbench-mcq-v1,coastal_lost_link_rtl,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,B,False,"At 420 s, with 14.5 m/s westerly winds and RTL triggered, which action balances energy, safety, and landing site compliance?","This scenario involves a coastal survey mission using an amphibious UAV equipped with RGB camera and LiDAR payload. The flight occurs in a defined coastal airspace with a maximum altitude of 120 meters AGL and a geofenced rectangular area. Strong westerly winds up to 14.5 m/s at higher altitudes and gusts create challenging flight conditions. The UAV is a hybrid fixed-wing multirotor with VTOL capability, designed for efficient forward flight and stable hover. Key constraints include a static no-fly zone near the center and a moving no-fly zone drifting westward. Additional hazards include GNSS multipath, electromagnetic interference, and a temporary loss of communication at 420 seconds triggering an RTL. The mission requires runway-assisted takeoff and landing, with a preferred landing site near a designated runway. A single traffic UAV flies upward through the airspace, requiring separation management. Thermal updrafts near the coastline offer potential lift but may affect stability. The UAV must complete its waypoint corridor survey within 600 seconds while maintaining battery reserve and avoiding all constraints.",Climb to 120 m for clear GNSS signal and glide back,Descend to 30 m and fly direct to preferred runway,Hover at current position until communication restores,Divert to alternate landing site upwind to avoid drift,Increase speed to 22 m/s to reach runway before battery drop,Follow thermal updrafts to extend range toward landing zone,Execute crosswind approach at 60 m altitude to reduce gust impact,"[""Climb to 120 m for clear GNSS signal and glide back"", ""Descend to 30 m and fly direct to preferred runway"", ""Hover at current position until communication restores"", ""Divert to alternate landing site upwind to avoid drift"", ""Increase speed to 22 m/s to reach runway before battery drop"", ""Follow thermal updrafts to extend range toward landing zone"", ""Execute crosswind approach at 60 m altitude to reduce gust impact""]","Descending to 30 m reduces wind exposure and improves control in gusts while conserving energy for the final approach. It avoids GNSS multipath at low altitude by relying on LiDAR and visual navigation near the runway. This balances aerodynamic stability, energy reserve, and compliance with preferred landing site under RTL constraints." 2025-11-01T18:05:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_battery_emergency_fixed_wing_d692634ffd7e_mcq.json,uavbench-mcq-v1,coastal_battery_emergency_fixed_wing,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"UAV must land with 12% battery, avoid moving NFZ, and handle 90s icing at 300ft AGL in coastal winds.","Fixed-wing UAV conducting an emergency forced landing due to battery constraints in coastal airspace. Mission takes place in a defined coastal zone with a static geofence and multiple no-fly zones, including one moving obstacle. Weather includes strong winds increasing with altitude, poor visibility, and icing conditions. UAV is battery-powered with a visible light camera payload and standard avionics including GNSS, IMU, and barometer. GNSS multipath and electromagnetic interference are present, with brief communication downlink loss expected. A dynamic no-fly zone moves westward, requiring real-time avoidance along with a stationary cylinder NFZ. The UAV must follow a corridor pattern toward a preferred landing site, with runway use required. Wind shear and thermal updrafts create challenging flight dynamics, particularly during descent. An icing fault event occurs mid-mission, degrading performance for 90 seconds. Traffic includes one other UAV, and separation must be maintained above 50 meters with TTC thresholds.",Descend immediately to 200ft AGL and proceed direct to runway,"Maintain 400ft AGL to avoid icing, then glide toward landing site",Climb to 500ft for better GNSS signal before initiating approach,"Divert east to alternate site outside corridor, descending slowly",Enter holding pattern at 300ft until icing event fully clears,Reduce speed and descend below 150ft AGL to evade moving NFZ,"Follow corridor at 250ft AGL, align with runway, and execute stabilized approach","[""Descend immediately to 200ft AGL and proceed direct to runway"", ""Maintain 400ft AGL to avoid icing, then glide toward landing site"", ""Climb to 500ft for better GNSS signal before initiating approach"", ""Divert east to alternate site outside corridor, descending slowly"", ""Enter holding pattern at 300ft until icing event fully clears"", ""Reduce speed and descend below 150ft AGL to evade moving NFZ"", ""Follow corridor at 250ft AGL, align with runway, and execute stabilized approach""]","Option G maintains safe separation from the moving NFZ and complies with the required corridor and runway use. It avoids higher altitudes with wind shear and icing while preserving battery for a controlled descent. Other options either exacerbate icing, increase multipath risk, violate altitude constraints, or waste critical endurance." 2025-11-01T18:05:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/bridge_inspection_snowfall_d10ac736e320_mcq.json,uavbench-mcq-v1,bridge_inspection_snowfall,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 180s, UAV faces head-on traffic at 40m distance, 25m AGL, with 28s time-to-closest-approach. Icing begins at 200s. What immediate action is required?","This UAV mission involves a bridge inspection in a suburban airspace using a convertiplane equipped with RGB camera and LiDAR payload. The flight occurs under poor visibility due to snowfall and icing conditions, with moderate winds increasing with altitude and shifting direction. The UAV must operate within a defined geofenced area between 5 and 120 meters AGL, avoiding a cylindrical no-fly zone near the bridge structure. GNSS signals are degraded by multipath effects and electromagnetic interference, complicating navigation accuracy. The mission follows a corridor inspection pattern with five waypoints at 20 meters altitude, requiring runway-assisted takeoff and landing. A single traffic UAV approaches head-on, and a moving spherical obstacle simulates dynamic hazards near the inspection route. Battery capacity is limited to 1200 Wh, with 30% reserved for safety, and performance may degrade during a planned icing event at 200 seconds. Communication experiences two brief downlink loss periods, impacting telemetry and control reliability. The UAV must maintain at least 25 meters separation from traffic with a 30-second time-to-closest-approach threshold. Success depends on completing the route within 600 seconds while avoiding collisions, geofence breaches, and loss of separation.",Continue mission; trust TCAS to resolve conflict,Descend below 5m AGL to avoid collision,Climb to 125m AGL for better GNSS signal,"Execute lateral evasion right, maintaining altitude",Abort mission and land immediately at current position,Accelerate to pass traffic before 30s threshold,Initiate horizontal hold and await ATC re-clearance,"[""Continue mission; trust TCAS to resolve conflict"", ""Descend below 5m AGL to avoid collision"", ""Climb to 125m AGL for better GNSS signal"", ""Execute lateral evasion right, maintaining altitude"", ""Abort mission and land immediately at current position"", ""Accelerate to pass traffic before 30s threshold"", ""Initiate horizontal hold and await ATC re-clearance""]","The UAV must avoid loss of separation while adhering to geofence and altitude limits. Continuing or accelerating risks collision; descending or climbing violates altitude constraints. D provides safe, compliant lateral separation within operational bounds, prioritizing safety over mission continuity without abandoning the objective prematurely." 2025-11-01T18:05:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_thermal_updraft_training_helicopter_snowfall_887afe89c07e_mcq.json,uavbench-mcq-v1,coastal_thermal_updraft_training_helicopter_snowfall,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During GNSS signal degradation and an icing event, how should the UAV maintain navigation integrity and control?","This scenario involves a helicopter UAV conducting a coastal survey mission. The airspace is a defined coastal zone with a rectangular geofence and two no-fly zones, one static and one moving. Weather conditions include moderate wind from the west, gusts, poor visibility, snowfall, and icing risks. The UAV is equipped with RGB and thermal cameras, powered by a battery with realistic consumption modeling. Key constraints include GNSS signal degradation from multipath and interference, as well as electromagnetic interference. The mission requires navigating through a corridor of waypoints while managing energy and avoiding obstacles. A traffic UAV and a moving spherical obstacle add complexity to the flight environment. An icing event occurs mid-mission, reducing performance for one minute. The UAV must maintain separation from other traffic and respect altitude and no-fly zone boundaries throughout the flight.",Rely solely on encrypted GNSS with signal authentication,Switch to vision-aided inertial navigation with local SLAM,Use unencrypted ADS-B for relative positioning to traffic,Increase control loop frequency using thermal camera feed,Descend to minimum altitude to reduce wind exposure,Transmit unauthenticated telemetry to ground for GPS correction,Trust raw GNSS despite spoofing indicators due to poor visibility,"[""Rely solely on encrypted GNSS with signal authentication"", ""Switch to vision-aided inertial navigation with local SLAM"", ""Use unencrypted ADS-B for relative positioning to traffic"", ""Increase control loop frequency using thermal camera feed"", ""Descend to minimum altitude to reduce wind exposure"", ""Transmit unauthenticated telemetry to ground for GPS correction"", ""Trust raw GNSS despite spoofing indicators due to poor visibility""]","B ensures control stability by fusing inertial and vision data when GNSS is degraded, preserving navigation integrity. It avoids cyber-physical risks like spoofing or unauthenticated data injection. The approach supports resilient operation during icing and interference without relying on vulnerable external signals." 2025-11-01T18:05:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_bridge_inspection_vtol_027541c215c5_mcq.json,uavbench-mcq-v1,coastal_bridge_inspection_vtol,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 8 m/s westerly wind with gusts to 4 m/s, what ensures stable hover near the bridge at 15 m AGL during LiDAR scan?","This is a coastal bridge inspection mission using a VTOL tiltrotor UAV equipped with RGB camera and LiDAR payload. The operation takes place in controlled coastal airspace with a defined geofence and a cylindrical no-fly zone around sensitive infrastructure. Weather conditions include strong westerly winds at 8 m/s with gusts up to 4 m/s and high temperatures affecting battery performance. The UAV must operate between 5 and 120 meters AGL, adhering to strict altitude and lateral boundaries. A moving obstacle simulates a crane swinging near the bridge structure, requiring real-time avoidance. The mission follows a corridor inspection pattern with four key waypoints, demanding precise navigation and transition between hover and forward flight. The UAV must use a designated runway for takeoff and landing, with one preferred and one emergency site available. Separation assurance is enforced with a 25-meter threshold and 15-second time-to-close alerting for traffic conflicts. GNSS multipath effects are a concern near the metallic bridge structure, requiring sensor fusion with IMU and barometer. Battery reserve is set to 30%, limiting total flight time to within the 600-second budget.",Increase collective pitch to counteract downdraft,Bank 30° into wind to reduce ground speed,Align thrust vector vertically despite crosswind drift,Reduce rotor RPM to minimize gust sensitivity,Transition to forward flight to improve lift stability,Use sideslip to maintain position over target,Pitch forward to increase airspeed and control authority,"[""Increase collective pitch to counteract downdraft"", ""Bank 30° into wind to reduce ground speed"", ""Align thrust vector vertically despite crosswind drift"", ""Reduce rotor RPM to minimize gust sensitivity"", ""Transition to forward flight to improve lift stability"", ""Use sideslip to maintain position over target"", ""Pitch forward to increase airspeed and control authority""]","In hover, thrust must equal weight and oppose wind-induced drift; aligning the thrust vector vertically while applying lateral cyclic maintains position and lift balance. Banking or pitching introduces horizontal acceleration, risking geofence violation. Sensor fusion prevents drift from GNSS multipath, enabling precise thrust vector control." 2025-11-01T18:05:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/convertiplane_inspection_volcanic_hail_9b286c412f61_mcq.json,uavbench-mcq-v1,convertiplane_inspection_volcanic_hail,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"A convertiplane must transit 5 waypoints in 600s, avoid a moving obstacle, and maintain 50m separation from oncoming UAV with 30s time-to-closest-approach.","This is an inspection mission conducted by a convertiplane UAV in a hazardous volcanic zone with poor visibility and active hail. The UAV operates within a defined polygonal airspace bounded between 10 and 250 meters AGL, featuring a static no-fly zone and a dynamically moving obstacle cylinder. Strong and increasing winds are present, shifting direction with altitude, and thermal updrafts near volcanic plumes create additional turbulence. The UAV is equipped with a full sensor suite including GNSS, IMU, LiDAR, RGB and thermal cameras, but faces challenges from GNSS multipath, signal jamming, and electromagnetic interference. The mission requires transitioning between VTOL and fixed-wing flight along a corridor of five waypoints, with a strict 600-second time budget. A runway-assisted takeoff and landing are required, with designated preferred and emergency landing sites. During flight, the UAV will encounter an icing event lasting 45 seconds, reducing performance, and experience brief communication dropouts. Air traffic includes a single oncoming UAV, and the DAA system must maintain separation of at least 50 meters with a time-to-closest-approach threshold of 30 seconds. A moving spherical obstacle drifts slowly through the environment, requiring real-time avoidance.",Climb to 250m AGL immediately for optimal GNSS reception and straight-line pathing,Descend below 10m AGL near plume to avoid updrafts and reduce visibility impact,Delay waypoint 3 by 40s to wait out icing event before entering hail zone,Cut between static NFZ and moving cylinder to minimize distance to waypoint 4,Reroute laterally 75m left at waypoint 2 to avoid predicted conflict with oncoming UAV,"Maintain 120m AGL and 18m/s speed, adjusting heading every 15s for obstacle drift",Abort mission after waypoint 3 and divert to emergency landing due to signal loss,"[""Climb to 250m AGL immediately for optimal GNSS reception and straight-line pathing"", ""Descend below 10m AGL near plume to avoid updrafts and reduce visibility impact"", ""Delay waypoint 3 by 40s to wait out icing event before entering hail zone"", ""Cut between static NFZ and moving cylinder to minimize distance to waypoint 4"", ""Reroute laterally 75m left at waypoint 2 to avoid predicted conflict with oncoming UAV"", ""Maintain 120m AGL and 18m/s speed, adjusting heading every 15s for obstacle drift"", ""Abort mission after waypoint 3 and divert to emergency landing due to signal loss""]","E ensures 50m separation with oncoming UAV by proactive lateral reroute, respecting 30s time-to-closest-approach. It preserves altitude band, avoids NFZ, and stays within time budget. Other options breach AGL limits, cut NFZ, or cause time delays." 2025-11-01T18:05:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/convertiplane_powerline_inspection_airport_perimeter_d80d4f12c1d3_mcq.json,uavbench-mcq-v1,convertiplane_powerline_inspection_airport_perimeter,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Which path avoids the NFZ at (400, 300) with 50m radius and maintains 25m separation from moving obstacle under 6 m/s wind?","This scenario involves a convertiplane UAV conducting a powerline inspection mission near an airport perimeter. The airspace is constrained between 20 and 120 meters AGL with a defined polygon geofence and a cylindrical no-fly zone centered at (400, 300) with a 50-meter radius. Weather conditions include a 6 m/s wind from 240 degrees with 3 m/s gusts, but visibility is good. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, optimized for inspection tasks. It has a battery capacity of 1200 Wh and a reserve fraction of 30%, limiting available energy. The mission follows a corridor pattern with five waypoints at low altitudes, requiring a runway takeoff and landing. A moving spherical obstacle travels along the eastern edge, and another UAV is present, flying perpendicular to the mission path. Communication experiences brief downlink losses between steps 120–130 and 450–465. Key constraints include maintaining separation from traffic (25 m threshold), avoiding the NFZ, and managing GNSS signal degradation near airport structures.","Fly direct between waypoints at 45m AGL, ignoring gust effects",Descend to 20m AGL near airport structures despite GNSS degradation,"Reroute eastward around NFZ, increasing distance but preserving 60m AGL",Cut inside NFZ by 10m to reduce flight time and energy use,Delay takeoff until downlink loss ends at step 130,Climb to 130m AGL to clear obstacle and avoid separation breach,"Follow exact corridor with no adjustment, assuming LiDAR compensates","[""Fly direct between waypoints at 45m AGL, ignoring gust effects"", ""Descend to 20m AGL near airport structures despite GNSS degradation"", ""Reroute eastward around NFZ, increasing distance but preserving 60m AGL"", ""Cut inside NFZ by 10m to reduce flight time and energy use"", ""Delay takeoff until downlink loss ends at step 130"", ""Climb to 130m AGL to clear obstacle and avoid separation breach"", ""Follow exact corridor with no adjustment, assuming LiDAR compensates""]","Rerouting east maintains safe distance from NFZ and avoids wind-induced navigation drift near GNSS-denied zones. It balances energy use and separation while staying within the 120m AGL ceiling. Other options breach NFZ, altitude limits, or underestimate sensor and wind effects." 2025-11-01T18:05:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/convertiplane_thermal_soaring_hail_avoidance_f2b771d0f743_mcq.json,uavbench-mcq-v1,convertiplane_thermal_soaring_hail_avoidance,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 200 m AGL, winds reach 14.5 m/s with thermal updrafts; UAV has 30% battery reserve and degraded GNSS. What action maximizes mission success?","This mission involves a convertiplane UAV conducting a survey in a wind farm environment with poor visibility and active hail. The airspace is constrained between 20 and 300 meters AGL, featuring a static no-fly zone and a moving obstacle near turbine areas. Winds increase with altitude, reaching 14.5 m/s at 200 m, and thermal updrafts are present to support energy-efficient soaring. The UAV is equipped with thermal and RGB cameras for payload operations, relying on battery power with a 30% reserve requirement. GNSS signals are degraded due to multipath effects and intermittent jamming, while electromagnetic interference challenges sensor reliability. The flight must avoid dynamic no-fly zones and maintain separation from other air traffic, including a crossing UAV. A runway-assisted takeoff and landing are required, with a defined corridor pattern linking five waypoints. The UAV may experience icing and GNSS outages during flight, demanding robust fault handling. Mission success depends on completing the survey within time and energy limits while avoiding collisions and airspace violations.",Climb to 250 m for stronger updrafts and better GNSS,Descend to 50 m to reduce wind exposure and save power,"Maintain 200 m, use thermals, and switch to INS navigation",Accelerate to 18 m/s to exit hail zone quickly,Circle at current altitude to await GNSS signal recovery,Divert to alternate corridor avoiding turbines and wind shear,Reduce speed to 10 m/s to improve camera stability and efficiency,"[""Climb to 250 m for stronger updrafts and better GNSS"", ""Descend to 50 m to reduce wind exposure and save power"", ""Maintain 200 m, use thermals, and switch to INS navigation"", ""Accelerate to 18 m/s to exit hail zone quickly"", ""Circle at current altitude to await GNSS signal recovery"", ""Divert to alternate corridor avoiding turbines and wind shear"", ""Reduce speed to 10 m/s to improve camera stability and efficiency""]","Maintaining 200 m leverages thermal updrafts for energy efficiency while staying within safe altitude bounds. Using INS compensates for GNSS degradation without sacrificing navigation accuracy. This balances aerodynamic performance, energy conservation, and safety under sensor uncertainty." 2025-11-01T18:05:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/convertiplane_tower_spiral_inspection_dense_urban_98626380a6d9_mcq.json,uavbench-mcq-v1,convertiplane_tower_spiral_inspection_dense_urban,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 80m altitude, winds reach 15 m/s with GNSS degraded; how should navigation fuse sensors for spiral stability?","The mission is an inspection of a tower using a spiral flight pattern in a dense urban environment. The UAV operates within a 200m x 200m geofenced airspace, with altitude limits between 5m and 120m AGL. A cylindrical no-fly zone with a 20m radius surrounds the tower base from 5m to 60m altitude. Weather includes strong winds up to 15 m/s increasing with altitude and a microburst risk event at 300 seconds. A convertiplane UAV with VTOL capability and fixed-wing efficiency is used, transitioning between flight modes. The UAV carries an RGB and thermal camera payload for inspection, with LIDAR for obstacle sensing. GNSS signals are degraded due to multipath and mild jamming, and electromagnetic interference is present. A second UAV and a moving spherical obstacle challenge separation and collision avoidance. The UAV must maintain separation of at least 15m and respond to communication dropouts between 250–260s and 500–515s. The mission requires a runway approach for landing and is constrained by battery reserve and wind resilience.",Prioritize GNSS despite multipath; discard LIDAR outliers,Switch entirely to IMU; ignore thermal camera data,Use visual-inertial fusion; limit reliance on GNSS,Rely on magnetic heading; calibrate mid-spiral,Boost GNSS gain to counteract jamming effects,Depend on LIDAR-only SLAM below 100m altitude,Suspend sensor fusion during communication dropouts,"[""Prioritize GNSS despite multipath; discard LIDAR outliers"", ""Switch entirely to IMU; ignore thermal camera data"", ""Use visual-inertial fusion; limit reliance on GNSS"", ""Rely on magnetic heading; calibrate mid-spiral"", ""Boost GNSS gain to counteract jamming effects"", ""Depend on LIDAR-only SLAM below 100m altitude"", ""Suspend sensor fusion during communication dropouts""]",Visual-inertial fusion compensates for GNSS degradation and electromagnetic interference by leveraging camera and IMU data with high update rates. It maintains pose estimation accuracy under strong wind disturbances and avoids magnetic anomalies. This approach ensures robustness during spiral inspection near obstacles where LIDAR may suffer occlusion or multipath. 2025-11-01T18:05:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_firefighting_drop_solar_wing_55d6006d9114_mcq.json,uavbench-mcq-v1,coastal_firefighting_drop_solar_wing,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"Given gusts from 8.5 to 15 m/s and 30% battery reserve, which fusion strategy ensures corridor adherence within 600 s?","This scenario involves a firefighting drop mission using a solar-powered fixed-wing UAV in coastal airspace. The UAV is equipped with thermal and RGB cameras, radar, and a 2 kg payload for fire suppression. It operates under gusty wind conditions with winds increasing from 8.5 m/s at ground level to 15 m/s at 200 m altitude, shifting direction with height. The mission is confined within a defined polygonal geofence from 10 to 300 m AGL, with two no-fly zones—one static and one moving—avoided during flight. A dynamic obstacle moves through the airspace, requiring real-time path adjustments. The UAV must maintain separation of at least 25 m from other traffic, including a crossing UAV, with a time-to-closest-approach threshold of 20 seconds. Electromagnetic interference and brief communication dropouts occur, but GNSS multipath is not present. The UAV must complete its corridor-style waypoint route within 600 seconds and land on a designated runway. Battery reserve is constrained to 30%, and mission success depends on adherence to airspace rules, obstacle avoidance, and timely arrival at target locations.","Prioritize GNSS for position, ignoring wind drift estimates",Rely solely on IMU during communication dropouts,Fuse radar altimeter with barometer to maintain 10–300 m AGL,Use RGB optical flow for navigation in low visibility,Disable thermal feed to reduce processor load,Trust heading from magnetometer near coastal steel structures,Weight visual odometry higher than GNSS during wind shifts,"[""Prioritize GNSS for position, ignoring wind drift estimates"", ""Rely solely on IMU during communication dropouts"", ""Fuse radar altimeter with barometer to maintain 10–300 m AGL"", ""Use RGB optical flow for navigation in low visibility"", ""Disable thermal feed to reduce processor load"", ""Trust heading from magnetometer near coastal steel structures"", ""Weight visual odometry higher than GNSS during wind shifts""]",Radar altimeter and barometer fusion provides reliable AGL altitude despite GNSS-denied segments and wind-induced vertical deviations. This combination mitigates terrain proximity risks within the geofence. Other sensors like magnetometer or optical flow are vulnerable to environmental interference or reduced visibility. 2025-11-01T18:05:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_glider_thermal_soaring_snowfall_65b391bc9c17_mcq.json,uavbench-mcq-v1,coastal_glider_thermal_soaring_snowfall,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 120 seconds, icing reduces lift by 15% at 25 m/s airspeed—what immediate adjustment maintains altitude without stalling?","This scenario involves a fixed-wing glider conducting a coastal survey mission using thermal soaring for energy efficiency. The flight occurs in a designated coastal airspace with a maximum altitude of 300 meters AGL and a minimum of 50 meters. Conditions include moderate winds from the west, increasing with altitude, along with snowfall and icing risks that impair visibility and aircraft performance. The glider is equipped with RGB and thermal cameras for payload operations, relying on battery power with no fuel reserve. Navigation is challenged by GNSS multipath effects, electromagnetic interference, and brief communication loss periods. A static no-fly zone and a moving no-fly cylinder require dynamic path planning to maintain separation. The mission includes five waypoints in a corridor pattern, with a required return to a specific runway for landing. Thermal updrafts are present and exploitable for lift, but an induced icing fault at 120 seconds reduces aerodynamic efficiency for one minute. Traffic includes a single intruder UAV approaching from the northeast, demanding detect-and-avoid compliance with a 50-meter separation threshold.",Increase angle of attack by 4°,Reduce airspeed to 20 m/s,Bank left 30° to seek thermals,Pitch down 2° to regain airspeed,Deploy flaps fully for extra lift,Climb at maximum rate immediately,Maintain current pitch and power,"[""Increase angle of attack by 4°"", ""Reduce airspeed to 20 m/s"", ""Bank left 30° to seek thermals"", ""Pitch down 2° to regain airspeed"", ""Deploy flaps fully for extra lift"", ""Climb at maximum rate immediately"", ""Maintain current pitch and power""]","Increasing angle of attack compensates for reduced lift due to icing-induced camber loss, restoring lift coefficient within stall margin. At 25 m/s, a 4° increase generates necessary lift without exceeding critical AoA. Other options either reduce lift further, increase drag excessively, or fail to counteract the aerodynamic degradation." 2025-11-01T18:05:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_firefighting_drop_heavy_lift_73d0fca82f59_mcq.json,uavbench-mcq-v1,coastal_firefighting_drop_heavy_lift,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"Given 12 m/s westerly winds at 100 m and degraded GNSS, what altitude maximizes stability and navigation accuracy within 10-minute corridor drops?","This is a coastal firefighting mission using a heavy-lift octocopter equipped with RGB and thermal cameras, LIDAR, and a 12 kg water payload. The UAV operates in a designated coastal airspace with a maximum altitude of 120 m AGL and a minimum of 10 m. Dense fog and poor visibility challenge visual sensors, while strong westerly winds increase with altitude, reaching 12 m/s at 100 m. A static no-fly zone surrounds the fire epicenter, and a dynamic no-fly zone moves slowly through the area, requiring real-time avoidance. The UAV must complete a corridor-pattern drop mission within 10 minutes, navigating around thermal updrafts and a moving spherical obstacle. GNSS signals are degraded due to multipath effects and moderate jamming, and electromagnetic interference may affect sensor reliability. One additional UAV travels through the airspace on a fixed path, requiring separation of at least 25 meters. Communication experiences brief loss windows, potentially disrupting command uplinks and telemetry. The UAV must return safely to its preferred landing site, maintaining sufficient battery reserve throughout the mission.",Fly at 100 m to minimize ground distance and drop time,Maintain 120 m for full regulatory clearance and signal reception,Operate at 80 m to balance wind exposure and sensor reliability,Descend to 10 m to avoid wind but risk terrain collision,Hover at 50 m to recalibrate sensors during communication blackouts,Follow the moving obstacle path at 70 m for proximity coordination,Alternate between 30 m and 90 m to test thermal updraft response,"[""Fly at 100 m to minimize ground distance and drop time"", ""Maintain 120 m for full regulatory clearance and signal reception"", ""Operate at 80 m to balance wind exposure and sensor reliability"", ""Descend to 10 m to avoid wind but risk terrain collision"", ""Hover at 50 m to recalibrate sensors during communication blackouts"", ""Follow the moving obstacle path at 70 m for proximity coordination"", ""Alternate between 30 m and 90 m to test thermal updraft response""]","At 80 m, the UAV avoids peak 12 m/s winds near 100 m, reducing aerodynamic load and power demand, while staying above fog-affected low altitudes that impair LIDAR and visual sensing. This altitude maintains sufficient GNSS signal integrity and allows safe separation from the dynamic obstacle and other UAV, balancing energy, control, and navigation under degraded comms and sensor interference." 2025-11-01T18:05:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/corridor_follow_wind_farm_dust_9fc4141a1b93_mcq.json,uavbench-mcq-v1,corridor_follow_wind_farm_dust,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 580s, UAV is 1200m from landing zone, battery at 32%, wind 8 m/s, dust limits visibility to 100m. What action?","This is an inspection mission conducted in a wind farm environment using a convertiplane UAV equipped with RGB camera and LiDAR payload. The UAV operates within a defined corridor between 20 and 120 meters AGL, following a series of waypoints with a time budget of 600 seconds. The airspace includes a static no-fly zone around a central turbine and a moving no-fly zone drifting southwest, requiring dynamic avoidance. A spherical moving obstacle also traverses the area, adding complexity to path planning. Moderate winds of 8 m/s from 240 degrees with gusts up to 4 m/s challenge stability and energy use, while dust reduces visibility and increases sensor risk. GNSS signals experience multipath interference and mild jamming at -75 dBm, compounded by electromagnetic interference affecting navigation reliability. The UAV must maintain safe separation from intruder traffic and avoid breaching the geofence or coming within 25 meters of obstacles. Communication links are generally stable but suffer brief uplink/downlink losses at specific intervals, testing autonomy resilience. The mission requires runway-assisted takeoff and landing, with preferred and emergency landing zones designated at opposite corners of the operational area. Energy management is critical due to high hover power draw and aerodynamic drag, with a 30% battery reserve required for safe return.",Continue to preferred landing zone despite dust.,Divert to emergency landing zone immediately.,Climb to 150m for better GNSS signal.,Hover to wait for visibility improvement.,Fly through moving no-fly zone to save time.,Descend below 20m to reduce wind exposure.,Request manual override and proceed as planned.,"[""Continue to preferred landing zone despite dust."", ""Divert to emergency landing zone immediately."", ""Climb to 150m for better GNSS signal."", ""Hover to wait for visibility improvement."", ""Fly through moving no-fly zone to save time."", ""Descend below 20m to reduce wind exposure."", ""Request manual override and proceed as planned.""]","Landing at 32% battery with high wind and poor visibility risks not reaching the preferred zone. Diverting to the emergency zone prioritizes human safety and controlled landing. Continuing or deviating violates energy and visibility safety margins, risking uncontrolled descent near obstacles or populated areas." 2025-11-01T18:05:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_sandstorm_haps_escort_9dac55b03614_mcq.json,uavbench-mcq-v1,coastal_sandstorm_haps_escort,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 3,000 m AGL, 20 m/s west-to-northwest winds and thermal updrafts challenge a UAV flying at 35 m/s. What trim adjustment maintains track and lift with minimal sideslip?","High-altitude pseudo-satellite UAV conducts a convoy escort mission along a coastal corridor. Operating between 1,000 and 5,000 meters AGL, the UAV navigates a defined polygonal airspace. A sandstorm reduces visibility and introduces severe wind gradients, increasing flight challenges. The UAV is equipped with radar, RGB and thermal cameras, and relies on GNSS/IMU navigation. GNSS multipath and intermittent jamming degrade positioning accuracy during flight. A static no-fly zone and a moving restricted zone require dynamic path adjustments. The swarm consists of three UAVs maintaining 150-meter separation with role specialization. Wind speeds increase with altitude, peaking at 20 m/s at 3,000 meters, blowing west to northwest. Thermal updrafts near the mission path offer potential lift but require precise control. Uplink communication is lost during critical phases, demanding autonomous fault recovery.",Increase angle of attack by 3° and apply left rudder trim,Decrease airspeed to 25 m/s and reduce wing loading,Bank 15° into wind without rudder input,Pitch up 10° while maintaining current thrust,Align heading directly into wind with zero crab,Deploy full flaps and increase throttle by 40%,"Maintain heading, crab 12° west with coordinated aileron","[""Increase angle of attack by 3° and apply left rudder trim"", ""Decrease airspeed to 25 m/s and reduce wing loading"", ""Bank 15° into wind without rudder input"", ""Pitch up 10° while maintaining current thrust"", ""Align heading directly into wind with zero crab"", ""Deploy full flaps and increase throttle by 40%"", ""Maintain heading, crab 12° west with coordinated aileron""]","A crab angle compensates for crosswind drift while maintaining ground track; coordinated flight avoids sideslip, reducing drag and preserving lift. At 3,000 m, reduced air density increases required lift coefficient, making uncoordinated maneuvers aerodynamically inefficient and prone to stall." 2025-11-01T18:05:42Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/desert_powerline_inspection_swarm_ea7d0c7234f4_mcq.json,uavbench-mcq-v1,desert_powerline_inspection_swarm,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"During sandstorm with 10 m/s west wind, how should a UAV adjust pitch and airspeed to maintain 10 m AGL flight near thermal updraft?","This scenario involves a swarm UAV inspection mission in a desert environment. The airspace is a defined polygon with a static no-fly zone and a moving restricted zone. Weather conditions include strong winds from the west, gusts, and poor visibility due to an active sandstorm. Five small quadcopter drones with RGB and thermal cameras, LiDAR, and full GNSS/IMU suite conduct the mission. The UAVs must inspect powerline segments along a corridor while maintaining 10-meter inter-drone separation. Key constraints include GNSS multipath and jamming, electromagnetic interference, and limited downlink comms with periodic outages. The drones operate between 10 and 120 meters AGL, avoiding a central no-fly cylinder and a drifting obstacle. A thermal updraft is present near the center of the area, potentially affecting flight dynamics. The mission must be completed within 600 seconds, with strict battery reserves and low visibility challenges. Collision avoidance and maintaining data link quality are critical success factors.","Increase pitch by 5°, reduce airspeed to 8 m/s","Decrease pitch by 3°, increase airspeed to 15 m/s","Maintain pitch, set airspeed to 12 m/s with 10% more throttle","Increase pitch by 8°, maintain 10 m/s airspeed","Reduce pitch to -2°, fly at 14 m/s into the wind","Set pitch to 0°, glide at 9 m/s with motors off","Increase pitch by 4°, increase airspeed to 13 m/s","[""Increase pitch by 5°, reduce airspeed to 8 m/s"", ""Decrease pitch by 3°, increase airspeed to 15 m/s"", ""Maintain pitch, set airspeed to 12 m/s with 10% more throttle"", ""Increase pitch by 8°, maintain 10 m/s airspeed"", ""Reduce pitch to -2°, fly at 14 m/s into the wind"", ""Set pitch to 0°, glide at 9 m/s with motors off"", ""Increase pitch by 4°, increase airspeed to 13 m/s""]","Increasing pitch and airspeed counters downdrafts from turbulent sandstorm and maintains lift in low-density, gusty air. Higher airspeed improves control authority and avoids stall at increased angle of attack. This balances lift, drag, and thrust under high wind shear and thermal turbulence." 2025-11-01T18:05:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_sandstorm_solar_wing_inspection_28e0fb37228d_mcq.json,uavbench-mcq-v1,coastal_sandstorm_solar_wing_inspection,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,G,False,"Given GNSS jamming at -85 dBm and 18 m/s winds, which navigation strategy maintains integrity and control stability?","This scenario involves an inspection mission using a solar-powered fixed-wing UAV in a coastal airspace. The UAV is equipped with radar, RGB and thermal cameras, and standard navigation sensors. Strong winds up to 18 m/s increase with altitude and shift direction, compounded by a sandstorm reducing visibility. The environment includes GNSS jamming at -85 dBm and electromagnetic interference, challenging navigation. A static no-fly zone and a moving no-fly cylinder restrict flight paths, requiring dynamic avoidance. A moving spherical obstacle travels through the corridor, and another UAV transits the airspace at 20 m/s. The UAV must inspect four waypoints in a corridor pattern within 600 seconds, while maintaining separation and avoiding collisions. Battery endurance is critical, with a 30% reserve required and limited uplink/downlink windows. Flight is confined between 10 m and 200 m AGL within a defined polygon geofence. The mission emphasizes robust navigation and obstacle avoidance under adverse weather and degraded sensing conditions.",A- Use GPS only; increase update rate,B- Switch to INS/GPS with Kalman filtering,C- Rely on visual odometry in sandstorm,D- Disable encryption to reduce latency,游戏副本E- Use unverified RF beacon triangulation,F- Lock onto strongest GNSS signal,G- Switch to inertial-only with drift correction,"[""A- Use GPS only; increase update rate"", ""B- Switch to INS/GPS with Kalman filtering"", ""C- Rely on visual odometry in sandstorm"", ""D- Disable encryption to reduce latency"", ""游戏副本E- Use unverified RF beacon triangulation"", ""F- Lock onto strongest GNSS signal"", ""G- Switch to inertial-only with drift correction""]","INS-alone with drift correction preserves control stability during GNSS jamming by avoiding spoofed signals. It maintains availability and integrity when fused with sensor-consistent dead reckoning. Other options expose the UAV to spoofing, untrusted data, or environmental degradation." 2025-11-01T18:05:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/convertiplane_bridge_mapping_cold_c936b0ce1e1d_mcq.json,uavbench-mcq-v1,convertiplane_bridge_mapping_cold,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 30m AGL in icing conditions with a static NFZ over the central bridge and GNSS multipath, what action minimizes risk during a comms loss?","A convertiplane UAV conducts a bridge mapping mission in a constrained urban airspace with active no-fly zones. The flight occurs in cold weather with icing conditions and moderate crosswinds increasing with altitude. The UAV is equipped with a battery-powered propulsion system, RGB camera, LiDAR, and standard navigation sensors. Strong westerly winds and gusts require careful flight path management, especially during transitions between hover and forward flight. A static no-fly zone blocks the central bridge area, while a moving no-fly zone adds dynamic constraint avoidance. The mission follows a grid pattern at 30 meters altitude, requiring runway-assisted takeoff and landing. GNSS multipath is present near structures, and a brief comms loss window may impact control. An icing fault event occurs mid-mission, degrading performance temporarily. Traffic and a slow-moving spherical obstacle require separation monitoring throughout the flight.",Continue grid pattern at 30m through the static NFZ,Ascend to 60m to avoid multipath and maintain GNSS lock,Descend to 15m and divert east to nearest clear runway,Hold hover at 30m until comms are restored,Abort mission and land immediately on bridge deck,Transition to forward flight and climb above icing layer,Execute pre-programmed BVLOS detour west at 30m AGL,"[""Continue grid pattern at 30m through the static NFZ"", ""Ascend to 60m to avoid multipath and maintain GNSS lock"", ""Descend to 15m and divert east to nearest clear runway"", ""Hold hover at 30m until comms are restored"", ""Abort mission and land immediately on bridge deck"", ""Transition to forward flight and climb above icing layer"", ""Execute pre-programmed BVLOS detour west at 30m AGL""]","Descending to 15m reduces exposure to icing and wind gusts while diverting east avoids the static NFZ and enables runway-assisted landing. This respects comms loss protocols, endurance limits, and structural clearance, unlike higher-altitude or NFZ-penetrating options." 2025-11-01T18:05:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/disaster_recon_bridge_site_hot_a2a40ce3777c_mcq.json,uavbench-mcq-v1,disaster_recon_bridge_site_hot,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,How should the UAV adjust for 8 m/s wind at 120° while maintaining 10 m separation and 30% battery reserve?,"This mission involves a reconnaissance inspection at a bridge site using a hexacopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs in a defined urban airspace with a rectangular geofenced area and two no-fly zones—one static and one moving—requiring careful navigation. A moderate wind of 8 m/s from 120 degrees, with gusts up to 4 m/s, impacts flight stability and energy consumption. The UAV must follow a corridor-style waypoint path at low altitudes between 5 and 120 meters AGL, avoiding structures and dynamic obstacles. A moving obstacle travels through the area, and another UAV enters the airspace during the mission, necessitating separation assurance. The UAV operates under discrete control inputs and must maintain a minimum separation of 10 meters from traffic and obstacles, monitored via DAA thresholds. Communication experiences brief downlink losses at specific intervals, potentially affecting telemetry and control. The mission must be completed within 600 seconds, with battery reserve set at 30% to ensure safe return. GNSS multipath effects are possible near the bridge structure, and visual conditions remain good throughout. The UAV spawns near the edge of the site and aims to land at the preferred location unless an emergency arises.",Ascend to 120 m for smoother airflow and better GNSS reception,Descend to 5 m AGL to minimize wind exposure and save power,"Maintain mid-corridor at 60 m, adjust heading every 30 s",Halt temporarily at next waypoint until wind gusts subside,Reduce speed by 40% to improve stability and sensor accuracy,Fly downwind trajectory to conserve energy despite longer path,"Slight crab angle into wind, optimize path with real-time DAA updates","[""Ascend to 120 m for smoother airflow and better GNSS reception"", ""Descend to 5 m AGL to minimize wind exposure and save power"", ""Maintain mid-corridor at 60 m, adjust heading every 30 s"", ""Halt temporarily at next waypoint until wind gusts subside"", ""Reduce speed by 40% to improve stability and sensor accuracy"", ""Fly downwind trajectory to conserve energy despite longer path"", ""Slight crab angle into wind, optimize path with real-time DAA updates""]","A crab angle counters lateral drift from 8 m/s wind, preserving trajectory and separation. Real-time DAA updates ensure obstacle avoidance during communication gaps. This balances aerodynamics, navigation, energy use, and safety within time and battery constraints." 2025-11-01T18:05:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/corridor_follow_bridge_site_lightning_c3df7c7ed059_mcq.json,uavbench-mcq-v1,corridor_follow_bridge_site_lightning,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 310 seconds, UAV faces GNSS jamming and nearby obstacles. How should it respond within 10–120 m AGL and 25 m separation?","Fixed-wing UAV conducts bridge inspection in a restricted urban airspace with a defined corridor. The mission takes place near a runway, requiring adherence to flight patterns and altitude limits between 10 and 120 meters AGL. Moderate winds increase with altitude, shifting direction from 210° to 230°, with gusts up to 4 m/s. A thunderstorm risk introduces lightning hazards and potential GNSS interference during the flight. The UAV is equipped with RGB camera payload for visual inspection and relies on standard sensors including GNSS and IMU. A cylindrical no-fly zone centered at (100, 150) with a 30-meter radius must be avoided. Another UAV and a moving spherical obstacle challenge separation, requiring DAA compliance with 25-meter minimum distance. GNSS jamming occurs between 300–345 seconds, reducing signal quality and increasing navigation risk. Uplink communication is lost during the jamming window, limiting remote control input. The flight must complete within 600 seconds while maintaining battery reserve and avoiding stalls or geofence breaches.",Climb to 120 m for wind clearance and continue transect,Descend to 15 m AGL and hold until jamming ends,Turn east to exit corridor and land at backup site,Maintain heading and reduce speed to conserve battery,Execute lateral offset to avoid NFZ and other UAV,Pitch down immediately to gain speed and lower altitude,Follow descent glide path toward runway alignment,"[""Climb to 120 m for wind clearance and continue transect"", ""Descend to 15 m AGL and hold until jamming ends"", ""Turn east to exit corridor and land at backup site"", ""Maintain heading and reduce speed to conserve battery"", ""Execute lateral offset to avoid NFZ and other UAV"", ""Pitch down immediately to gain speed and lower altitude"", ""Follow descent glide path toward runway alignment""]","G ensures safe navigation during GNSS/communication loss by using runway alignment as a passive guidance reference within the allowed AGL band. It avoids the NFZ and moving obstacle while maintaining energy and directional stability. Other options either breach separation, increase exposure to wind/GNSS risk, or risk geofence or stall." 2025-11-01T18:05:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/convertiplane_warehouse_inspection_hail_a42bf0a975c2_mcq.json,uavbench-mcq-v1,convertiplane_warehouse_inspection_hail,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"At 125s, GNSS fails; wind is 8.5 m/s from 240°, visibility poor. Which navigation strategy maintains corridor accuracy?","This scenario involves a convertiplane UAV conducting a warehouse inspection mission in a volcanic zone with restricted airspace. The mission takes place in a rectangular geofenced area containing a central no-fly cylinder zone around coordinates (50, 40). Weather conditions include strong 8.5 m/s winds from 240 degrees, gusts up to 4.2 m/s, poor visibility, and active hail, increasing flight risk. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors, but lacks thermal imaging and radar. It must follow a predefined corridor inspection pattern at low altitude, transitioning between VTOL and forward flight modes. A moving spherical obstacle travels horizontally at 2 m/s, requiring dynamic avoidance. The UAV must maintain separation from another traffic UAV entering the airspace and avoid GNSS multipath issues near structures. Notable constraints include a GNSS jamming fault at 120 seconds and an icing event at 300 seconds, both impacting navigation and performance. The mission requires a runway for operations, has a 10-minute time budget, and includes communication dropouts between 400–415 seconds.",Rely solely on IMU dead reckoning for 60 seconds,Switch to lidar-visual odometry with wind-compensated IMU,Hold position using RGB optical flow only,Revert to last known GNSS fix until signal returns,Use lidar to track moving obstacle as position reference,Navigate via magnetic heading and IMU acceleration,Descend to ground and wait for GNSS recovery,"[""Rely solely on IMU dead reckoning for 60 seconds"", ""Switch to lidar-visual odometry with wind-compensated IMU"", ""Hold position using RGB optical flow only"", ""Revert to last known GNSS fix until signal returns"", ""Use lidar to track moving obstacle as position reference"", ""Navigate via magnetic heading and IMU acceleration"", ""Descend to ground and wait for GNSS recovery""]",Lidar-visual fusion provides environmental feature tracking unaffected by GNSS outage or magnetic interference. Wind-compensated IMU corrects for drift induced by 8.5 m/s crossflow. This maintains positioning integrity within the inspection corridor despite poor visibility and sensor faults. 2025-11-01T18:05:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/disaster_recon_octocopter_industrial_plant_4351c4a12b7c_mcq.json,uavbench-mcq-v1,disaster_recon_octocopter_industrial_plant,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"Which strategy balances 5 m/s wind, 650 Wh battery with 30% reserve, and 600-second limit while avoiding dynamic obstacles?","This is a disaster reconnaissance mission using an octocopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place within a confined industrial plant area with a rectangular geofenced airspace, bounded between 5 and 120 meters AGL. Weather conditions include a moderate 5 m/s wind from the south with occasional 3 m/s gusts, and good visibility. The UAV must inspect five key waypoints in a corridor pattern to assess structural damage or hazards, completing the mission within 600 seconds. A static no-fly zone restricts access to a central cylinder near critical infrastructure, while a dynamic no-fly zone slowly moves across the site, requiring real-time avoidance. A second UAV is present in the airspace, traveling westward, necessitating separation maintenance of at least 25 meters or 15 seconds time-to-closest approach. A moving spherical obstacle drifts leftward through the inspection zone, adding complexity to path planning. The UAV has a 650 Wh battery with a 30% reserve requirement, limiting available energy for the mission. Launch occurs from a fixed position, with a preferred return-to-land site and an emergency alternative at the far corner. GNSS signals may experience multipath interference due to surrounding industrial structures, requiring robust sensor fusion for precise navigation.","Fly at 40 m AGL, 8 m/s, direct paths between waypoints","Climb to 110 m AGL, hover 10s at each waypoint","Reduce speed to 5 m/s, fly at 60 m AGL, wide turns","Descend to 10 m AGL, zigzag rapidly between waypoints","Match wind speed, fly eastward first, then reverse course","Ascend to 120 m AGL, use GNSS-only navigation","Fly 7 m/s at 50 m AGL, anticipate dynamic zone motion","[""Fly at 40 m AGL, 8 m/s, direct paths between waypoints"", ""Climb to 110 m AGL, hover 10s at each waypoint"", ""Reduce speed to 5 m/s, fly at 60 m AGL, wide turns"", ""Descend to 10 m AGL, zigzag rapidly between waypoints"", ""Match wind speed, fly eastward first, then reverse course"", ""Ascend to 120 m AGL, use GNSS-only navigation"", ""Fly 7 m/s at 50 m AGL, anticipate dynamic zone motion""]","Flying at 50 m AGL ensures clearance from moving obstacles and GNSS multipath while staying within geofence. A speed of 7 m/s balances energy use, mission duration, and responsiveness to wind and traffic. Anticipating the dynamic no-fly zone enables proactive path adjustment, maintaining safety and coordination without energy-wasting maneuvers." 2025-11-01T18:05:43Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/desert_border_patrol_fixed_wing_545859bb6113_mcq.json,uavbench-mcq-v1,desert_border_patrol_fixed_wing,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 280 m altitude, 16 m/s winds from 270°, and microburst detected, what action prioritizes safety while maintaining mission integrity?","Fixed-wing UAV conducts border patrol survey mission in a desert airspace. The flight operates within a defined rectangular geofence with minimum and maximum altitude limits. Strong winds increase with altitude and shift direction, peaking at 16 m/s from 270 degrees at 300 m. A sandstorm and microburst risk are present, with a simulated microburst event occurring mid-mission. The UAV is equipped with radar, RGB and thermal cameras, and standard navigation sensors. GNSS multipath and electromagnetic interference degrade positioning accuracy. A static no-fly zone blocks central airspace, while a dynamic no-fly zone moves slowly across the area. A second UAV intrudes from the northeast, requiring separation monitoring. A moving spherical obstacle drifts eastward through the patrol corridor. Communications experience brief dropouts, and the UAV must return to runway for landing.",Descend to 150 m to avoid wind shear and maintain surveillance,Climb to 320 m to escape microburst and continue patrol,Fly through microburst to monitor intruding UAV's trajectory,Head directly toward moving obstacle for visual identification,Enter central no-fly zone to shorten escape path to runway,Maintain current altitude and delay response until GNSS stabilizes,"Abort mission, descend below 100 m, and return upwind to runway","[""Descend to 150 m to avoid wind shear and maintain surveillance"", ""Climb to 320 m to escape microburst and continue patrol"", ""Fly through microburst to monitor intruding UAV's trajectory"", ""Head directly toward moving obstacle for visual identification"", ""Enter central no-fly zone to shorten escape path to runway"", ""Maintain current altitude and delay response until GNSS stabilizes"", ""Abort mission, descend below 100 m, and return upwind to runway""]",Microburst and high winds pose critical flight risks; descending below severe weather and aborting the mission ensures airworthiness. Human safety and aircraft recovery outweigh surveillance objectives. Continuing flight in deteriorating conditions violates safety-of-life and operational risk protocols. 2025-11-01T18:05:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/desert_vtol_loiter_d012c474d2ed_mcq.json,uavbench-mcq-v1,desert_vtol_loiter,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 250 m AGL in duststorm with GNSS jamming and partial motor failure, what action prioritizes safety amid downlink failure and moving restricted zone?","Mission type is loiter with orbit pattern around specified waypoints. Operates in a desert airspace with a defined rectangular geofence and multiple no-fly zones. Weather includes strong winds up to 15 m/s increasing with altitude, poor visibility, and active dust and sandstorm conditions. UAV is a vtol_tiltrot droned with RGB camera payload for visual monitoring. Flight occurs between 0 and 300 m AGL with a static no-fly cylinder and a moving restricted zone. GNSS multipath and electromagnetic interference degrade navigation accuracy. A dynamic obstacle and another UAV traffic move through the airspace, requiring separation. Mission requires runway for landing and includes transition phases between hover and forward flight. Two faults are injected: GNSS jamming and partial motor failure. Communication experiences downlink failure and uplink loss during a critical window.",Continue orbit to preserve mission data collection,Descend immediately into no-fly cylinder for shelter,Egress northeast to nearest civilian observation post,Head toward runway transitioning to forward flight mode,Hover in place until GNSS signal is restored,Fly toward other UAV to establish visual contact,Jettison camera payload to reduce weight and stabilize,"[""Continue orbit to preserve mission data collection"", ""Descend immediately into no-fly cylinder for shelter"", ""Egress northeast to nearest civilian observation post"", ""Head toward runway transitioning to forward flight mode"", ""Hover in place until GNSS signal is restored"", ""Fly toward other UAV to establish visual contact"", ""Jettison camera payload to reduce weight and stabilize""]","The UAV must prioritize safe recovery while managing degraded navigation and propulsion. Attempting landing at the designated runway balances mission termination with operational control and avoids no-fly zones. Continuing or descending unpredictably risks collision, property damage, or loss of control in poor visibility." 2025-11-01T18:05:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/disaster_recon_mountainous_crosswind_ba977df590d1_mcq.json,uavbench-mcq-v1,disaster_recon_mountainous_crosswind,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 210 seconds, UAV faces icing, 16 m/s crosswinds, and a drifting no-fly zone at 200 m AGL. What action balances safety, energy, and mission completion?","Heavy-lift UAV conducts search and rescue in mountainous terrain with strong crosswinds and poor visibility. Mission spans a 500x400 meter geofenced area with minimum and maximum altitudes of 30 and 250 meters AGL. Winds increase with altitude, reaching 16 m/s from the west-northwest, with gusts up to 6 m/s and dynamic wind shifts. UAV carries a 5 kg payload with RGB and thermal cameras, LiDAR, and radar for disaster reconnaissance. GNSS signals suffer from multipath and moderate jamming, with brief communication dropouts during flight. A static no-fly zone blocks access near the center, while a moving no-fly zone drifts through the airspace. An additional UAV and a moving spherical obstacle create dynamic collision risks. Thermal updrafts near (350,420) may assist lift but complicate control in gusty conditions. Icing conditions trigger a partial performance degradation event between 200 and 260 seconds. Mission requires rapid corridor scanning within 10 minutes, returning to start or an alternate emergency site.",Climb to 240 m for smoother winds and better GNSS,Descend to 40 m to avoid icing and conserve power,Hold 200 m and increase speed to exit no-fly zone early,Turn east at 180 m to use updrafts and save energy,Circle at 150 m to wait out icing and wind gusts,"Dive to 30 m, max speed, to reach emergency landing site","Reduce speed at 180 m, adjust heading into wind, scan corridor","[""Climb to 240 m for smoother winds and better GNSS"", ""Descend to 40 m to avoid icing and conserve power"", ""Hold 200 m and increase speed to exit no-fly zone early"", ""Turn east at 180 m to use updrafts and save energy"", ""Circle at 150 m to wait out icing and wind gusts"", ""Dive to 30 m, max speed, to reach emergency landing site"", ""Reduce speed at 180 m, adjust heading into wind, scan corridor""]","Option G maintains safe AGL clearance, avoids icing above 200 m, and conserves energy while ensuring control in gusts. It continues mission progress within geofence and avoids dynamic obstacles. Other options fail due to excessive altitude, energy use, or loss of situational awareness." 2025-11-01T18:05:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/disaster_recon_fixed_wing_icing_b7d3e05e6c61_mcq.json,uavbench-mcq-v1,disaster_recon_fixed_wing_icing,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"UAV faces icing, GNSS multipath, and 3 m/s gusts at 25m AGL. Central obstacle near waypoint. How ensure secure, stable flight?","Fixed-wing UAV conducts indoor disaster reconnaissance in a warehouse environment. Mission involves inspecting key waypoints in a confined polygonal airspace with a central no-fly cylinder. Operating altitude ranges from 2 to 30 meters AGL with required runway for takeoff and landing. Equipped with RGB and thermal cameras, LiDAR, and full suite of navigation sensors. Weather includes poor visibility and icing conditions that impact aerodynamics and lift. Wind increases with altitude, shifting direction and introducing gusts up to 3 m/s. GNSS multipath and electromagnetic interference degrade positioning accuracy indoors. A single traffic UAV crosses the airspace, requiring separation of at least 10 meters. An active moving obstacle oscillates near the center waypoint, increasing collision risk. Icing fault is triggered mid-mission, reducing lift and increasing stall probability.",Switch to encrypted INS with lidar SLAM and authenticated control loops,Rely on GNSS with signal amplification to overcome indoor multipath,Descend below 2m to avoid wind gusts and central obstacle,Disable thermal camera to reduce power load during icing fault,Use open telemetry for real-time ground station trajectory updates,Increase throttle to maintain lift without adjusting angle of attack,Follow traffic UAV closely to exploit its navigation solution,"[""Switch to encrypted INS with lidar SLAM and authenticated control loops"", ""Rely on GNSS with signal amplification to overcome indoor multipath"", ""Descend below 2m to avoid wind gusts and central obstacle"", ""Disable thermal camera to reduce power load during icing fault"", ""Use open telemetry for real-time ground station trajectory updates"", ""Increase throttle to maintain lift without adjusting angle of attack"", ""Follow traffic UAV closely to exploit its navigation solution""]",Encrypted INS with authenticated control resists spoofing and maintains integrity during GNSS outages. Lidar SLAM provides trusted localization despite multipath. This ensures control stability and cyber-physical resilience under icing and dynamic obstacles. 2025-11-01T18:05:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/disaster_recon_fixed_wing_airport_perimeter_e1140cd64c94_mcq.json,uavbench-mcq-v1,disaster_recon_fixed_wing_airport_perimeter,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"At 120 m AGL, 6 m/s wind from 240°, and 18 m/s crossing UAV, what heading adjustment ensures 25 m separation with minimal drag?","Fixed-wing UAV conducts disaster reconnaissance near airport perimeter. Mission takes place within a defined rectangular airspace with a central no-fly zone. Weather includes 6 m/s winds from 240° with 3 m/s gusts and good visibility. UAV is battery-powered with RGB and thermal imaging payload for visual assessment. Flight altitude is restricted between 50 m and 300 m AGL. A cylindrical no-fly zone of 50 m radius exists near the center of the area. Runway operations are present, requiring careful separation and flight planning. UAV follows a grid pattern at 120 m altitude with a 10-minute time budget. Another UAV is present, flying through the airspace at 18 m/s on a crossing path. GNSS, IMU, and other standard sensors are active; collision avoidance uses 25 m separation threshold.",Increase airspeed to 20 m/s to reduce convergence time,Turn 15° toward 210° to align with wind vector,Descend to 50 m to exploit ground effect and reduce drift,Bank 30° away while maintaining 120 m altitude,Pitch up 10° to increase lift and avoid collision,Reduce throttle to 70% to minimize induced drag,Hold straight flight; horizontal miss distance exceeds 30 m,"[""Increase airspeed to 20 m/s to reduce convergence time"", ""Turn 15° toward 210° to align with wind vector"", ""Descend to 50 m to exploit ground effect and reduce drift"", ""Bank 30° away while maintaining 120 m altitude"", ""Pitch up 10° to increase lift and avoid collision"", ""Reduce throttle to 70% to minimize induced drag"", ""Hold straight flight; horizontal miss distance exceeds 30 m""]",A 30° bank generates sufficient lateral acceleration to increase separation while maintaining altitude and lift-drag equilibrium. Excessive pitch or airspeed changes would increase drag or stall risk. The maneuver satisfies collision avoidance without violating flight envelope constraints. 2025-11-01T18:05:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/disaster_recon_powerline_corridor_hail_75d7164f3207_mcq.json,uavbench-mcq-v1,disaster_recon_powerline_corridor_hail,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 180s, icing degrades UAV performance; a second UAV moves at 2.5 m/s SW. How should the octocopter adjust?","This is a disaster reconnaissance mission to inspect a powerline corridor using an octocopter UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The flight occurs in a defined rectangular airspace with a minimum altitude of 20 meters and a maximum of 120 meters AGL. Weather conditions include strong winds from 240 degrees at 8.5 m/s with gusts up to 4.5 m/s, poor visibility, and active hail, increasing flight risk. The UAV must avoid a static no-fly zone near the center of the corridor and a moving no-fly zone drifting southwest at 2.5 m/s. It also shares airspace with another UAV on a steady trajectory and must maintain a separation of at least 25 meters, monitored via DAA thresholds. A dynamic spherical obstacle moves through the corridor, requiring real-time path adjustments. Mid-mission, an icing event occurs at 180 seconds, degrading performance for one minute. Communication experiences brief dropouts at 200 and 450 seconds, potentially affecting command and telemetry. The UAV spawns at (100, 100, 50) and must complete its inspection waypoint route within 600 seconds while preserving 30% battery reserve. The mission emphasizes fault resilience, sensor reliability, and safe navigation under adverse weather and constrained airspace.",Descend to 20m to reduce wind exposure and save battery,Halt and hover until icing clears at 240s to ensure safety,Proceed directly through moving no-fly zone to save time,Ascend to 120m to avoid dynamic obstacle and second UAV,"Adjust route southwest, matching second UAV’s speed and heading",Delay path correction until 200s comms dropout ends,"Recalculate path maintaining 25m separation, prioritizing DAA compliance","[""Descend to 20m to reduce wind exposure and save battery"", ""Halt and hover until icing clears at 240s to ensure safety"", ""Proceed directly through moving no-fly zone to save time"", ""Ascend to 120m to avoid dynamic obstacle and second UAV"", ""Adjust route southwest, matching second UAV’s speed and heading"", ""Delay path correction until 200s comms dropout ends"", ""Recalculate path maintaining 25m separation, prioritizing DAA compliance""]","The correct choice ensures continuous compliance with the 25m separation requirement via DAA while adapting to the moving obstacle and UAV. It preserves mission timing and safety margins despite icing and communication dropouts. Other options violate spacing, altitude limits, or fail to account for dynamic coordination constraints." 2025-11-01T18:05:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/dense_urban_swarm_hail_touch_and_go_00e9a1f8c611_mcq.json,uavbench-mcq-v1,dense_urban_swarm_hail_touch_and_go,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,"Which drone configuration best handles hail, wind gusts up to 4.5 m/s, and maintains 10 m separation in a 600 s urban swarm mission?","This scenario involves a swarm drone mission in a dense urban environment. The airspace is constrained between 5 and 120 meters AGL with a polygonal geofence and a central cylindrical no-fly zone. Weather includes strong winds from 240° at 8.5 m/s with gusts up to 4.5 m/s and poor visibility due to hail. The UAV is an 8-rotor electric drone carrying an RGB camera and LiDAR payload, with a total mass of 2.5 kg. The mission is a runway touch-and-go pattern along a linear corridor with a time budget of 600 seconds. The swarm consists of five drones with role specialization and a minimum separation of 10 meters between units. There is a moving spherical obstacle near the flight path and one non-cooperative UAV flying through the area. GNSS multipath effects are likely due to the urban setting, and comms experience brief downlink losses at 300 and 500 seconds. An icing event occurs at 120 seconds, reducing performance for one minute. Key constraints include battery endurance, hail and wind effects, NFZ avoidance, and maintaining separation.",8-rotor with dual GNSS and de-icing payload,6-rotor with LiDAR-only obstacle avoidance,8-rotor with single battery and no redundancy,4-rotor with RGB camera and no LiDAR,8-rotor with delayed comms processing,6-rotor with extended range but higher mass,8-rotor without wind compensation algorithms,"[""8-rotor with dual GNSS and de-icing payload"", ""6-rotor with LiDAR-only obstacle avoidance"", ""8-rotor with single battery and no redundancy"", ""4-rotor with RGB camera and no LiDAR"", ""8-rotor with delayed comms processing"", ""6-rotor with extended range but higher mass"", ""8-rotor without wind compensation algorithms""]","The 8-rotor provides redundancy and lift capacity for de-icing and sensors, critical during the 120-second icing event and hail. Dual GNSS mitigates urban multipath, while active de-icing preserves performance. Other options lack fault tolerance, environmental adaptation, or real-time obstacle response under wind and comms loss." 2025-11-01T18:05:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/desert_border_patrol_octocopter_8b7feb35d648_mcq.json,uavbench-mcq-v1,desert_border_patrol_octocopter,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During GNSS jamming and motor failure at 14.5 m/s winds, what ensures control stability and mission continuity?","Octocopter UAV conducts a border patrol survey mission in a desert environment. The operation takes place within a defined rectangular airspace with a maximum altitude of 150 meters AGL. Weather includes strong winds up to 14.5 m/s at altitude, shifting direction with height, and reduced visibility due to an active sandstorm. Adverse conditions include extreme heat and electromagnetic interference affecting GNSS signals. The UAV is equipped with RGB and thermal cameras, LiDAR, and full navigation sensors, powered by a high-capacity battery. A static no-fly zone is present at the center of the area, with an additional moving no-fly cylinder drifting slowly. Another UAV and a moving spherical obstacle challenge separation assurance, requiring adherence to a 25-meter minimum separation. GNSS jamming occurs twice: once from environmental noise and once during a simulated 30-second fault event. A motor partial failure occurs mid-mission, testing vehicle resilience and control stability. Communication experiences brief downlink losses, and mission success depends on avoiding NFZs, completing waypoints, and maintaining safe flight parameters.",Rely solely on encrypted GNSS with no fallback,Switch to INS/LiDAR fusion with authenticated control loops,Increase waypoint speed to exit jamming zone faster,Disable thermal camera to save power for navigation,Use unencrypted telemetry for faster command response,Maintain altitude using barometer-only feedback,Override motor controls with open-loop PWM signals,"[""Rely solely on encrypted GNSS with no fallback"", ""Switch to INS/LiDAR fusion with authenticated control loops"", ""Increase waypoint speed to exit jamming zone faster"", ""Disable thermal camera to save power for navigation"", ""Use unencrypted telemetry for faster command response"", ""Maintain altitude using barometer-only feedback"", ""Override motor controls with open-loop PWM signals""]",INS/LiDAR fusion maintains positioning integrity during GNSS outages while authenticated control loops prevent spoofed commands. This preserves both control stability against wind disturbances and cyber-physical resilience. Other options either ignore sensor redundancy or introduce vulnerabilities in communication or actuation. 2025-11-01T18:05:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/emergency_medical_delivery_bridge_site_177b523d2b9c_mcq.json,uavbench-mcq-v1,emergency_medical_delivery_bridge_site,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 180s, with 28.5kg mass and 7.5m/s headwind from 240°, how should pitch and airspeed be adjusted during the 1-minute icing event to maintain lift?","This is an emergency medical delivery mission using a heavy-lift UAV equipped with RGB camera and LiDAR payload. The operation takes place near a bridge site within a defined polygonal airspace bounded from 10 to 120 meters AGL. Weather conditions include strong winds from 240 degrees at 7.5 m/s with gusts up to 4.0 m/s, poor visibility, rain, and icing conditions. The UAV has a total mass of 28.5 kg, including a 5 kg payload, and relies solely on battery power with a reserve fraction of 30%. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves through the airspace, requiring real-time avoidance. Another UAV and a moving spherical obstacle traverse the area, enforcing separation requirements of 25 meters and 15 seconds time-to-closest-approach. GNSS multipath effects may occur due to the bridge structure, and a planned icing event at 180 seconds will degrade performance for one minute. Communication includes a brief downlink loss window between 400–415 seconds, with minimum RSSI at -85 dBm. The mission must be completed within 600 seconds, reaching the final waypoint for successful delivery while avoiding all obstacles and constraints.",Increase pitch by 3° and reduce airspeed to 14 m/s,Maintain current pitch and increase airspeed to 19 m/s,Decrease pitch by 2° and increase throttle to 95%,Increase pitch to 12° and hold 16 m/s with full throttle,Reduce pitch to 6° and decrease airspeed to 12 m/s,Increase bank angle 10° and maintain current pitch,Hold level flight and reduce airspeed to 10 m/s,"[""Increase pitch by 3° and reduce airspeed to 14 m/s"", ""Maintain current pitch and increase airspeed to 19 m/s"", ""Decrease pitch by 2° and increase throttle to 95%"", ""Increase pitch to 12° and hold 16 m/s with full throttle"", ""Reduce pitch to 6° and decrease airspeed to 12 m/s"", ""Increase bank angle 10° and maintain current pitch"", ""Hold level flight and reduce airspeed to 10 m/s""]","Icing reduces airfoil lift and increases drag, requiring higher airspeed to compensate for degraded aerodynamic performance. Increasing airspeed to 19 m/s boosts dynamic pressure and Reynolds number, restoring lift without approaching stall at higher angles. Maintaining pitch avoids exceeding critical angle of attack while ensuring thrust balances increased drag under high density altitude effects from rain and wind." 2025-11-01T18:05:44Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/emergency_medical_delivery_underground_mine_fog_ab37d1d5c59d_mcq.json,uavbench-mcq-v1,emergency_medical_delivery_underground_mine_fog,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"Deliver medical payload in 15 m AGL max foggy mine with LiDAR, 600 s limit, and moving obstacles.","Emergency medical delivery mission in an underground mine with poor visibility due to fog. Flight occurs in a confined rectangular airspace with a minimum altitude of 0.5 m AGL and maximum of 15 m AGL. Weather includes light wind from the south and gusts, worsening already limited visibility. UAV is a quadrotor with a battery-powered propulsion system and a medical payload of 0.8 kg. Equipped with LiDAR, RGB camera, IMU, barometer, and magnetometer but no GNSS capability. Navigation is challenged by GNSS multipath, electromagnetic interference, and intermittent comms downlink. Static and moving no-fly zones block parts of the corridor, requiring real-time avoidance. A dynamic obstacle drifts through the environment, along with another UAV on a fixed path. Mission must be completed within 600 seconds, reaching three waypoints for successful delivery. Key constraints include maintaining separation, avoiding collisions, and operating without reliable GNSS.",Climb to 14 m AGL for better sensor range,Descend to 1 m AGL to avoid gusts,Hover and wait for visibility improvement,Proceed at 8 m AGL using LiDAR for avoidance,Accelerate to waypoint using RGB-only navigation,Divert around NFZ at 16 m AGL to save time,Fly direct at 0.4 m AGL to minimize exposure,"[""Climb to 14 m AGL for better sensor range"", ""Descend to 1 m AGL to avoid gusts"", ""Hover and wait for visibility improvement"", ""Proceed at 8 m AGL using LiDAR for avoidance"", ""Accelerate to waypoint using RGB-only navigation"", ""Divert around NFZ at 16 m AGL to save time"", ""Fly direct at 0.4 m AGL to minimize exposure""]","Operating at 8 m AGL stays within 0.5–15 m AGL limits and avoids gusts near the floor while leveraging LiDAR's strength in low visibility. It maintains separation from dynamic obstacles and adheres to time constraints, unlike hovering or extreme altitudes that violate clearance or endurance limits." 2025-11-01T18:05:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/dense_urban_corridor_follow_01231bab0c58_mcq.json,uavbench-mcq-v1,dense_urban_corridor_follow,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best balances obstacle avoidance, GNSS resilience, and 10-minute endurance under 6.5 m/s wind and signal jamming at -75 dBm?","This is an urban inspection mission using a battery-powered quadrotor UAV equipped with GNSS, IMU, camera, lidar, and other sensors. The flight occurs in a dense urban corridor with tall buildings, imposing strict airspace limits between 10 and 120 meters AGL. A polygonal geofence encloses the entire operational area, and two no-fly zones are present—one static and one moving—requiring dynamic avoidance. The UAV must follow a predefined corridor pattern through five waypoints while managing a 10-minute time budget. Weather includes a 6.5 m/s wind from 240 degrees with gusts up to 3.2 m/s and increasing wind speed and directional shear with altitude. Thermal updrafts are present near the center of the map, potentially affecting stability and energy use. GNSS signals suffer from multipath effects and moderate jamming at -75 dBm, compounded by electromagnetic interference. The UAV shares airspace with another traffic UAV moving westward and must maintain at least 10 meters separation, monitored via DAA systems. Communication experiences two brief downlink outages, and the UAV must reach the preferred landing site with sufficient battery reserve.","Monocular vision with basic IMU, no redundancy, minimal power use","Dual GNSS receivers with carrier-phase, high power draw, heavy weight","Lidar-visual-inertial fusion, moderate compute load, robust state estimation","Pure GNSS navigation with frequent position updates, low processing need","Thermal-aware path planning, no sensor fusion, reduced battery strain","High-gain antenna only, strong signal focus, poor multipath rejection","Preloaded static map use, no real-time updates, low computational demand","[""Monocular vision with basic IMU, no redundancy, minimal power use"", ""Dual GNSS receivers with carrier-phase, high power draw, heavy weight"", ""Lidar-visual-inertial fusion, moderate compute load, robust state estimation"", ""Pure GNSS navigation with frequent position updates, low processing need"", ""Thermal-aware path planning, no sensor fusion, reduced battery strain"", ""High-gain antenna only, strong signal focus, poor multipath rejection"", ""Preloaded static map use, no real-time updates, low computational demand""]","Lidar-visual-inertial fusion provides resilient state estimation despite GNSS multipath and jamming. It enables precise obstacle avoidance in dense urban terrain and adapts to wind disturbances with low-latency feedback. This system optimally balances accuracy, reliability, and energy efficiency within the 10-minute flight window." 2025-11-01T18:05:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/emergency_medical_delivery_hexacopter_rain_e7ec96555097_mcq.json,uavbench-mcq-v1,emergency_medical_delivery_hexacopter_rain,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During icing at 110 m AGL with GNSS multipath and 13.5 m/s winds, which navigation strategy maintains position integrity within 600 seconds?","This scenario involves an emergency medical delivery using a hexacopter UAV in a dense urban environment. The mission is constrained to altitudes between 10 and 120 meters AGL within a defined geofenced area. Weather conditions include strong winds up to 13.5 m/s, gusts, poor visibility, rain, and icing conditions, with wind increasing and shifting direction with altitude. The hexacopter is equipped with a battery-powered rotorcraft system, carrying a 1.2 kg payload, and fitted with GNSS, IMU, lidar, RGB camera, and other standard sensors. Significant environmental challenges include GNSS multipath, electromagnetic interference, and moderate signal jamming. There is a static no-fly zone over a central cylinder and a moving no-fly zone drifting southwest, requiring dynamic avoidance. A second UAV and a moving spherical obstacle traverse the airspace, necessitating separation assurance with a 25-meter threshold. An icing fault occurs mid-mission, reducing performance for two minutes, while brief communication outages affect uplink and downlink. The UAV must complete its delivery within 600 seconds, avoiding obstacles and constraints while maintaining safe separation and battery reserves. Emergency landing sites are available in case of critical failure.",Prioritize GNSS with IMU smoothing despite multipath errors,Switch to lidar-only SLAM in heavy rain with low visibility,Fuse IMU and visual odometry during GNSS outages and jamming,Rely on magnetic heading under electromagnetic interference,Use GPS-extrapolated course during 25-second comms blackout,Navigate via lidar in fog with 40 m visibility and icing,Trust uncorrected IMU drift over 2 minutes of system fault,"[""Prioritize GNSS with IMU smoothing despite multipath errors"", ""Switch to lidar-only SLAM in heavy rain with low visibility"", ""Fuse IMU and visual odometry during GNSS outages and jamming"", ""Rely on magnetic heading under electromagnetic interference"", ""Use GPS-extrapolated course during 25-second comms blackout"", ""Navigate via lidar in fog with 40 m visibility and icing"", ""Trust uncorrected IMU drift over 2 minutes of system fault""]","GNSS is degraded by multipath and jamming, while lidar performance drops in rain and fog. Visual-IMU fusion provides resilient, high-frequency state estimation during GNSS outages. This strategy mitigates wind-induced drift and maintains accuracy without relying on compromised sensors." 2025-11-01T18:05:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/emergency_medical_delivery_rural_cold_09a8f5a4df9f_mcq.json,uavbench-mcq-v1,emergency_medical_delivery_rural_cold,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which system ensures timely, safe delivery within 600 s despite 7 m/s winds, icing at 180 s, and 10 s comms loss?","This is an emergency medical delivery mission in a rural area using an amphibious fixed-wing UAV equipped with a multi-sensor payload including RGB and thermal cameras, LiDAR, and full navigation suite. The UAV operates within an altitude range of 10 to 120 meters AGL, navigating a predefined corridor with four waypoints toward a designated landing zone near a runway. The environment features strong westerly winds at 7 m/s with gusts up to 4 m/s and hazardous icing conditions that temporarily degrade performance. A critical no-fly zone cylinder is present near the flight path, requiring active avoidance, and a geofenced operational boundary restricts lateral movement. The UAV must maintain separation of at least 25 meters from other traffic, with a dynamic detection and avoidance system monitoring for conflicts. A single intruding UAV and a moving spherical obstacle add complexity to the traffic environment. Communication experiences a brief 10-second downlink loss mid-mission, requiring autonomous resilience. The mission must be completed within 600 seconds, with a successful runway-aligned landing required at the end. Battery reserves are set at 30%, and performance may be impacted during a simulated icing event at 180 seconds into the flight. The scenario emphasizes robust navigation, energy management, and fault tolerance in cold, dynamic rural airspace.",Fixed-wing with thermal-only navigation and no redundancy,Quadcopter with full sensor suite and 40% battery reserve,Amphibious fixed-wing with multi-sensor fusion and geofencing,Glider with LiDAR-only guidance and no comms resilience,Rotary-wing with RGB camera and manual obstacle avoidance,Fixed-wing with GPS-only navigation and 20% battery reserve,Hybrid UAV with dual processors but no thermal sensing,"[""Fixed-wing with thermal-only navigation and no redundancy"", ""Quadcopter with full sensor suite and 40% battery reserve"", ""Amphibious fixed-wing with multi-sensor fusion and geofencing"", ""Glider with LiDAR-only guidance and no comms resilience"", ""Rotary-wing with RGB camera and manual obstacle avoidance"", ""Fixed-wing with GPS-only navigation and 20% battery reserve"", ""Hybrid UAV with dual processors but no thermal sensing""]","The amphibious fixed-wing with multi-sensor fusion enables robust navigation in icing and wind, while geofencing ensures no-fly zone compliance. It balances endurance, fault tolerance, and autonomy, meeting the 600-second deadline with 30% reserve. Other options lack sensor diversity, energy margin, or environmental adaptability critical for mission success." 2025-11-01T18:05:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/emergency_medical_delivery_mountain_sandstorm_0c6aec1d3945_mcq.json,uavbench-mcq-v1,emergency_medical_delivery_mountain_sandstorm,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,"Which UAV system best handles 18 m/s winds, GNSS jamming, and 5 kg payload in mountainous sandstorm conditions?","This scenario involves an emergency medical delivery mission in mountainous terrain using a high-altitude pseudo-satellite UAV. The aircraft operates within a defined airspace between 1,000 and 4,500 meters AGL, navigating through poor visibility caused by an active sandstorm. Weather conditions include strong winds up to 18 m/s at higher altitudes, shifting wind direction with elevation, and gusts adding turbulence. The UAV is equipped with a 5 kg medical payload and carries a comprehensive sensor suite including GNSS, IMU, radar, lidar, RGB and thermal cameras. Key environmental challenges include GNSS multipath effects, electromagnetic interference, and a temporary GNSS jamming event during flight. The mission must avoid static and dynamic no-fly zones, including a moving obstacle and a drifting restricted cylinder. Air traffic includes another UAV on a crossing path, requiring separation assurance with a 50-meter threshold. Communication suffers from intermittent uplink outages, limiting remote control input during critical phases. The flight plan follows a corridor pattern with four waypoints, aiming to land at a designated site within a strict 10-minute time budget.",Fixed-wing with minimal redundancy and basic GPS,Quadcopter with high thrust but short endurance,Tilt-rotor with dual GNSS and radar altimeter,Solar-powered HAPS with inertial-only fallback,VTOL with lidar-only navigation and no RF,Hybrid airship with thermal-only wind compensation,Fixed-wing with multi-sensor fusion and wind-adaptive control,"[""Fixed-wing with minimal redundancy and basic GPS"", ""Quadcopter with high thrust but short endurance"", ""Tilt-rotor with dual GNSS and radar altimeter"", ""Solar-powered HAPS with inertial-only fallback"", ""VTOL with lidar-only navigation and no RF"", ""Hybrid airship with thermal-only wind compensation"", ""Fixed-wing with multi-sensor fusion and wind-adaptive control""]","System G integrates multi-sensor fusion (IMU, radar, lidar) to maintain navigation during GNSS outages and sandstorm obscuration. Its wind-adaptive control ensures stability under 18 m/s gusts and shifting directions, critical for high-altitude mountain flight. Unlike others, it balances endurance, payload capacity, and fault tolerance without sacrificing reliability in dynamic environments." 2025-11-01T18:05:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/emergency_medical_delivery_swarm_jungle_cold_36df153f9eba_mcq.json,uavbench-mcq-v1,emergency_medical_delivery_swarm_jungle_cold,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"With 12 m/s winds and 10 m separation, how should the swarm adjust formation during a 30-second comms dropout?","This scenario involves a swarm-based emergency medical delivery mission in a dense jungle environment. The UAV swarm operates under cold weather conditions with snowfall and icing threats. Strong winds up to 12 m/s increase with altitude and shift direction, complicating flight stability. Each drone is an 8-rotor electric VTOL with thermal and RGB cameras, LiDAR, and medical payload. The mission must navigate through a confined corridor with static and moving no-fly zones, including a dynamic obstacle. GNSS signals suffer from multipath errors and moderate jamming, while electromagnetic interference degrades comms. The swarm maintains a minimum 10-meter separation and uses relay and scout roles to ensure coordination and safety. Icing events temporarily reduce performance, and brief communication dropouts occur during flight. Flight altitude is restricted between 5 m and 120 m AGL within a defined polygon geofence. The mission must be completed within 10 minutes, landing at a designated site while avoiding collisions and system failures.",Spread laterally to increase coverage,Descend to 5 m AGL to avoid wind shear,Freeze positions until comms restore,Switch to time-synchronized waypoint mode,Assign nearest drone to relay role,Ascend to 120 m for stronger GNSS,Disband swarm and fly direct routes,"[""Spread laterally to increase coverage"", ""Descend to 5 m AGL to avoid wind shear"", ""Freeze positions until comms restore"", ""Switch to time-synchronized waypoint mode"", ""Assign nearest drone to relay role"", ""Ascend to 120 m for stronger GNSS"", ""Disband swarm and fly direct routes""]","Time-synchronized waypoint mode maintains formation integrity and mission timing without real-time comms, preserving 10 m separation. It leverages pre-shared routes and clock alignment to avoid collisions during dropout. Other options risk spacing violations, communication loss, or increased icing exposure." 2025-11-01T18:05:45Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/facade_inspection_convertiplane_dust_625e92f6da67_mcq.json,uavbench-mcq-v1,facade_inspection_convertiplane_dust,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 25m altitude near airport, with GNSS multipath and 15 m/s winds, how ensure secure, stable corridor inspection?","This is an inspection mission using a convertiplane UAV near an airport perimeter. The UAV operates within a defined airspace bounded by a polygon geofence, with a no-fly zone cylinder near the center. It must inspect a corridor-shaped route at 25 meters altitude while avoiding obstacles and maintaining separation from other traffic. The UAV is equipped with a visual camera payload and relies on GNSS, IMU, and other standard sensors, but faces GNSS multipath and moderate RF interference. Weather includes strong winds up to 15 m/s at higher altitudes, shifting direction with height, and poor visibility due to dust. The UAV must transition between vertical and fixed-wing flight, constrained by energy limits and a 30% battery reserve. A distant runway is required for operations, and the UAV must manage communication dropouts during flight. A moving spherical obstacle traverses the area, adding dynamic collision risk. Wind, visibility, and sensor degradation challenge navigation and mission success. The mission emphasizes safe, precise flight under environmental and operational constraints.",Use encrypted telemetry with authenticated commands to prevent spoofing,Rely solely on GNSS for positioning to maintain route accuracy,Disable geofence checks to avoid unnecessary flight interruptions,Transmit unencrypted video to reduce communication latency,Ignore IMU-GNSS divergence to prioritize sensor availability,Fly fixed-wing mode only to conserve battery and reduce risk,Trust all commands from ground station without cryptographic verification,"[""Use encrypted telemetry with authenticated commands to prevent spoofing"", ""Rely solely on GNSS for positioning to maintain route accuracy"", ""Disable geofence checks to avoid unnecessary flight interruptions"", ""Transmit unencrypted video to reduce communication latency"", ""Ignore IMU-GNSS divergence to prioritize sensor availability"", ""Fly fixed-wing mode only to conserve battery and reduce risk"", ""Trust all commands from ground station without cryptographic verification""]","A ensures confidentiality and integrity of control signals, mitigating spoofing and injection risks. It supports resilient operation by allowing secure command authentication despite RF interference. Encrypted, authenticated links preserve control stability and enable safe fallbacks during GNSS degradation or cyber intrusion." 2025-11-01T18:05:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/emergency_medical_delivery_wind_farm_dust_28f6fce6f6c6_mcq.json,uavbench-mcq-v1,emergency_medical_delivery_wind_farm_dust,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 25m AGL near (200,300), UAV detects dynamic obstacle moving west at 2 m/s. Wind gusts to 12 m/s. What immediate action maintains safety and mission?","Emergency medical delivery mission using a convertiplane UAV equipped with RGB camera and LiDAR. Flight occurs within a restricted wind farm airspace bounded by a polygonal geofence from 10 to 120 meters AGL. Operational area includes a cylindrical no-fly zone centered at (250, 200) with a 30-meter radius and 80-meter ceiling. Mission features four waypoints in a corridor pattern, starting near the runway threshold and ending at a preferred landing site. Wind blows from the west at 8 m/s with gusts up to 4 m/s, reducing visibility due to airborne dust. UAV carries a 3 kg medical payload and must manage battery reserves with a 30% safety margin. A single traffic UAV moves eastward at 15 m/s across the airspace, requiring separation monitoring. Dynamic obstacle present: a 5-meter sphere moving west at 2 m/s near (200, 300, 25). GNSS signal may suffer multipath interference due to turbine structures and dusty conditions. Communication experiences two brief downlink/uplink loss windows, demanding robust DAA and contingency planning.",Climb to 75m AGL and continue to next waypoint,Descend to 15m AGL to minimize wind exposure,Hold position at current altitude until obstacle passes,Divert north to bypass obstacle above 80m AGL,Accelerate eastward to complete corridor before obstacle arrival,Descend to 10m AGL and proceed to landing site,"Turn south, climb to 60m AGL, then rejoin route","[""Climb to 75m AGL and continue to next waypoint"", ""Descend to 15m AGL to minimize wind exposure"", ""Hold position at current altitude until obstacle passes"", ""Divert north to bypass obstacle above 80m AGL"", ""Accelerate eastward to complete corridor before obstacle arrival"", ""Descend to 10m AGL and proceed to landing site"", ""Turn south, climb to 60m AGL, then rejoin route""]","Climbing to 60m AGL avoids the 80m NFZ ceiling and maintains separation from the 25m obstacle while staying within the 10–120m AGL operational band. Diverting south reduces collision risk and compensates for GNSS multipath near turbines. Other options violate NFZ limits, reduce battery margin, or increase exposure to wind and dust." 2025-11-01T18:05:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/facade_inspection_wind_farm_dust_850d13cb7770_mcq.json,uavbench-mcq-v1,facade_inspection_wind_farm_dust,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best balances obstacle detection, endurance, and wind resilience at 8.5 m/s with 4.0 m/s gusts and 30% battery reserve?","This UAV mission involves inspecting structures within a wind farm located in an area with poor visibility due to dust. The octocopter UAV is equipped with RGB camera and LiDAR payload for visual inspection and obstacle detection. It operates under moderate wind conditions of 8.5 m/s from 240 degrees, with gusts up to 4.0 m/s, increasing flight instability risks. The flight occurs between 10 and 120 meters AGL within a defined polygonal airspace boundary. A cylindrical no-fly zone centered at (100, 75) restricts access from 15 to 100 meters altitude with a 20-meter radius. The mission follows a corridor inspection pattern with five waypoints, starting and ending near the spawn point at (20, 20, 30). A moving spherical obstacle drifts vertically along the y-axis at 2 m/s near the center of the airspace. Another UAV enters the airspace from the south at 12 m/s, requiring separation maintenance of at least 25 meters or 15 seconds' time to closest approach. The UAV must manage battery reserves carefully, with a 30% reserve required and limited to 4800 Wh capacity. Communication links are stable, and the primary success metrics include mission completion, collision avoidance, and adherence to safety thresholds.","Quadcopter with RGB only, 5000 Wh, light frame","Hexacopter with LiDAR, 4500 Wh, low redundancy","Octocopter with RGB+LiDAR, 4800 Wh, full redundancy","Fixed-wing with RGB, 4800 Wh, high-speed efficiency","Octocopter with thermal camera, 4800 Wh, no LiDAR","Octocopter with LiDAR, 5000 Wh, no RGB camera","VTOL with RGB+LiDAR, 4000 Wh, medium wind tolerance","[""Quadcopter with RGB only, 5000 Wh, light frame"", ""Hexacopter with LiDAR, 4500 Wh, low redundancy"", ""Octocopter with RGB+LiDAR, 4800 Wh, full redundancy"", ""Fixed-wing with RGB, 4800 Wh, high-speed efficiency"", ""Octocopter with thermal camera, 4800 Wh, no LiDAR"", ""Octocopter with LiDAR, 5000 Wh, no RGB camera"", ""VTOL with RGB+LiDAR, 4000 Wh, medium wind tolerance""]","The octocopter with RGB+LiDAR and 4800 Wh meets all mission needs: dual sensors for dust visibility and obstacle detection, sufficient power with 30% reserve, and redundancy for gust stability. Other options lack sensor fusion, have insufficient endurance, or reduced fault tolerance under wind stress." 2025-11-01T18:05:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/facade_inspection_volcanic_sandstorm_b809ab5c366e_mcq.json,uavbench-mcq-v1,facade_inspection_volcanic_sandstorm,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 30 m altitude with 9 m/s winds and sand-limited visibility, which navigation strategy maintains accuracy near rock formations?","This is a UAV facade inspection mission in a volcanic zone with active sandstorm conditions. The airspace is restricted to a rectangular polygon with a minimum altitude of 10 meters AGL and a maximum of 120 meters AGL. Weather includes strong winds at 9 m/s from 240 degrees, with gusts up to 4.5 m/s and poor visibility due to the sandstorm. A single-rotor helicopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors is used for the mission. The UAV has a total mass of 25 kg, including a 2.5 kg payload, and relies on battery power with a 1200 Wh capacity. A cylindrical no-fly zone centered at (100, 75) with a 20-meter radius and 50-meter ceiling must be avoided. The mission follows a corridor pattern inspection route at 30 meters altitude, lasting up to 600 seconds. A second UAV and a moving spherical obstacle create dynamic traffic, requiring strict separation monitoring with a 25-meter minimum distance and 10-second TTC threshold. GNSS signal degradation is expected due to multipath risks near rock formations and volcanic terrain. Communication experiences brief downlink outages between 120–135 and 400–410 seconds, with minimum RSSI at -85 dBm.",Prioritize GNSS with carrier-phase correction,Use LiDAR-only SLAM in all phases,Fuse IMU and visual odometry during GNSS outages,Rely on magnetic heading during sandstorms,Increase reliance on barometer for altitude hold,Switch to GPS-only when RSSI > -85 dBm,Use thermal-RGB fusion for position updates,"[""Prioritize GNSS with carrier-phase correction"", ""Use LiDAR-only SLAM in all phases"", ""Fuse IMU and visual odometry during GNSS outages"", ""Rely on magnetic heading during sandstorms"", ""Increase reliance on barometer for altitude hold"", ""Switch to GPS-only when RSSI > -85 dBm"", ""Use thermal-RGB fusion for position updates""]","GNSS suffers multipath near rock formations and degrades during sandstorms, reducing positional integrity. Visual odometry fused with IMU compensates during GNSS outages and maintains relative localization despite poor visibility. This fusion ensures continuity and reduces drift, outperforming single-sensor strategies in degraded environments." 2025-11-01T18:05:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/firefighting_drop_hexacopter_fog_wind_farm_7c48b61fc145_mcq.json,uavbench-mcq-v1,firefighting_drop_hexacopter_fog_wind_farm,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,G,False,"At 110 m AGL with 13.5 m/s winds, fog reducing visibility to 50 m, and GNSS degraded near turbines, how should navigation be maintained?","Mission involves a firefighting water drop using a hexacopter in a wind farm environment. The UAV operates within a defined corridor between 10 and 120 meters AGL, avoiding static and moving no-fly zones. Weather conditions include fog, poor visibility, and icing risks, with winds increasing to 13.5 m/s at higher altitudes. The hexacopter carries a 3 kg payload equipped with thermal and RGB cameras, lidar, and standard navigation sensors. GNSS signals are degraded due to multipath effects and electromagnetic interference near turbines. A dynamic no-fly zone moves through the airspace, requiring real-time avoidance. Another UAV and a moving spherical obstacle traverse the area, demanding collision avoidance. The mission must be completed within 600 seconds, starting from a designated spawn point. An icing event occurs mid-mission, reducing performance for one minute. Communication dropouts occur briefly at two intervals, challenging command reliability.",Rely solely on GNSS with IMU smoothing,Switch to optical flow using RGB camera only,Use lidar-IMU fusion with terrain matching,Descend immediately to avoid icing risk,Trust magnetic heading for yaw stabilization,Depend on thermal camera for obstacle tracking,"Fuse lidar, IMU, and visual odometry adaptively","[""Rely solely on GNSS with IMU smoothing"", ""Switch to optical flow using RGB camera only"", ""Use lidar-IMU fusion with terrain matching"", ""Descend immediately to avoid icing risk"", ""Trust magnetic heading for yaw stabilization"", ""Depend on thermal camera for obstacle tracking"", ""Fuse lidar, IMU, and visual odometry adaptively""]","GNSS is unreliable due to multipath and EMI near turbines, while fog limits optical flow and thermal tracking. Adaptive fusion of lidar, IMU, and visual odometry maintains accuracy by weighting sensor reliability dynamically. This approach compensates for wind-induced drift and degraded visibility, ensuring robust navigation within the corridor." 2025-11-01T18:05:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/fixed_wing_warehouse_inspection_5583f9064b4c_mcq.json,uavbench-mcq-v1,fixed_wing_warehouse_inspection,minimax/minimax-m1,9,Comparative System Reasoning,7,?,F,False,"Which UAV configuration best balances endurance, obstacle avoidance, and payload for a 600-second forest inspection with GNSS degradation and moving obstacles?","This is a fixed-wing UAV inspection mission in a forested area with poor visibility due to dust and moderate wind from 240 degrees at 6 m/s, including gusts up to 3.5 m/s. The UAV operates within a defined airspace between 10 and 60 meters AGL, confined by a polygonal geofence. A cylindrical no-fly zone with a 20-meter radius and ceiling up to 30 meters is centered at (100, 75), which the UAV must avoid. The mission involves following a corridor pattern through four waypoints at varying altitudes to inspect a warehouse-like structure. The fixed-wing UAV is equipped with a battery-powered propulsion system, carrying an RGB camera and LiDAR as payload, relying on GNSS, IMU, and other sensors for navigation. Due to forest canopy and potential terrain effects, GNSS multipath and signal degradation are concerns, especially near obstacles. The UAV must maintain a minimum separation of 25 meters from traffic, with a time-to-closest-approach threshold of 15 seconds for detect-and-avoid compliance. A second UAV is present as traffic, moving eastward at 8 m/s, and there is a moving spherical obstacle drifting northward at 2 m/s near one of the waypoints. The mission requires a runway takeoff and landing, with preferred and emergency landing sites designated, and the UAV must complete the inspection within a 600-second time budget while maintaining battery reserves.","Fixed-wing with LiDAR and RGB, 6 m/s cruise, 25 m separation min","Quadcopter with RGB only, 4 m/s cruise, 20 m separation min","Fixed-wing with radar, no LiDAR, 9 m/s cruise, 30 m separation","Hybrid VTOL with LiDAR, 5 m/s cruise, 25 m separation, high power use","Fixed-wing with RGB only, 7 m/s cruise, no GNSS backup","Fixed-wing with dual IMU, LiDAR, RGB, 6 m/s cruise, 25 m separation","Fixed-wing with thermal camera, 6 m/s cruise, no detect-and-avoid logic","[""Fixed-wing with LiDAR and RGB, 6 m/s cruise, 25 m separation min"", ""Quadcopter with RGB only, 4 m/s cruise, 20 m separation min"", ""Fixed-wing with radar, no LiDAR, 9 m/s cruise, 30 m separation"", ""Hybrid VTOL with LiDAR, 5 m/s cruise, 25 m separation, high power use"", ""Fixed-wing with RGB only, 7 m/s cruise, no GNSS backup"", ""Fixed-wing with dual IMU, LiDAR, RGB, 6 m/s cruise, 25 m separation"", ""Fixed-wing with thermal camera, 6 m/s cruise, no detect-and-avoid logic""]","Option F provides dual IMU for GNSS-denied resilience, maintains required sensor suite and speed, and meets detect-and-avoid standards. It outperforms others in fault tolerance and environmental adaptability without excessive power draw. Other options lack redundancy, critical sensors, or compliance with separation or navigation reliability needs." 2025-11-01T18:05:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/fixed_wing_warehouse_inspection_offshore_ccc8b5494e4f_mcq.json,uavbench-mcq-v1,fixed_wing_warehouse_inspection_offshore,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,A,False,"UAV must inspect offshore warehouse within 10 minutes, avoid cylindrical NFZ, and stay below 120 m AGL in 8 m/s winds from 210°.","Fixed-wing UAV conducts offshore warehouse inspection near an oil platform. Mission takes place in controlled offshore airspace with a maximum altitude of 120 meters AGL. Weather conditions include 8 m/s winds from 210 degrees, gusts up to 4 m/s, and poor visibility due to dust. The UAV is equipped with a battery-powered fixed-wing airframe and carries an RGB camera and LiDAR payload. A cylindrical no-fly zone surrounds a central structure, requiring careful flight planning. Flight must remain within a defined polygonal geofence and avoid both static and moving obstacles. A distant runway is required for takeoff and landing, aligned with the wind at 210 degrees. Another UAV and a moving spherical obstacle create dynamic traffic and collision risks. GNSS signals may suffer from multipath effects due to nearby metallic structures. Mission success depends on completing the inspection corridor within 10 minutes while maintaining safe separation and battery reserves.","Fly direct at 110 m AGL, adjust heading for wind drift","Descend to 90 m AGL, orbit NFZ clockwise at 50 m radius",Climb to 130 m AGL for better GNSS reception and visibility,"Reroute east, level at 115 m AGL, delay inspection start by 3 min","Maintain 100 m AGL, cut through NFZ to save 90 seconds","Fly downwind leg first, then reverse course into wind",Follow geofence perimeter at 120 m AGL using LiDAR for obstacle avoidance,"[""Fly direct at 110 m AGL, adjust heading for wind drift"", ""Descend to 90 m AGL, orbit NFZ clockwise at 50 m radius"", ""Climb to 130 m AGL for better GNSS reception and visibility"", ""Reroute east, level at 115 m AGL, delay inspection start by 3 min"", ""Maintain 100 m AGL, cut through NFZ to save 90 seconds"", ""Fly downwind leg first, then reverse course into wind"", ""Follow geofence perimeter at 120 m AGL using LiDAR for obstacle avoidance""]","Flying at 110 m AGL stays within the 120 m AGL limit and leverages wind alignment for efficient groundspeed. Direct routing with drift correction minimizes time and energy while avoiding the NFZ. Other options violate altitude, breach the NFZ, waste time, or increase collision risk." 2025-11-01T18:05:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/fixed_wing_bridge_inspection_hail_7706a538cc3a_mcq.json,uavbench-mcq-v1,fixed_wing_bridge_inspection_hail,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,F,False,"During GNSS and comms outage, UAV encounters moving obstacle near bridge; altitude 40m, 30s to potential collision. What action prioritizes safety?","Fixed-wing UAV conducts bridge inspection in a designated airspace near a river crossing. The mission takes place under poor visibility and active hail weather conditions with strong westerly winds. Equipped with an RGB camera, the UAV must navigate a predefined corridor pattern while avoiding static and moving obstacles. A cylindrical no-fly zone is present at the bridge center, with an additional dynamic no-fly zone moving across the site. Aircraft must maintain altitude between 30 and 150 meters AGL and comply with geofence boundaries. The UAV requires a runway for takeoff and landing, with designated primary and emergency sites. It shares airspace with another UAV traffic and a moving spherical obstacle, requiring strict separation assurance. GNSS jamming occurs mid-mission, inducing a 30-second navigation outage with reduced signal integrity. Communication experiences a downlink/uplink loss window during the same period. Mission success depends on completing waypoints within time, avoiding collisions, and maintaining system resilience despite environmental and technical challenges.",Continue mission using last known GPS coordinates,Descend to 25m to evade obstacle under visual range,Climb to 160m to clear obstacle and no-fly zone,Execute emergency descent and landing at primary site,Hold position at 40m until signal restoration,Divert to emergency runway outside corridor,Accelerate through corridor to complete waypoints,"[""Continue mission using last known GPS coordinates"", ""Descend to 25m to evade obstacle under visual range"", ""Climb to 160m to clear obstacle and no-fly zone"", ""Execute emergency descent and landing at primary site"", ""Hold position at 40m until signal restoration"", ""Divert to emergency runway outside corridor"", ""Accelerate through corridor to complete waypoints""]","During navigation and communication failure, maintaining flight in uncertain conditions risks collision with dynamic obstacles or no-fly zones. Diverting to an emergency runway outside the corridor ensures controlled landing, prioritizing public safety and airspace compliance. This action respects operational limits and minimizes harm despite mission interruption." 2025-11-01T18:05:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/fixed_wing_jungle_inspection_8aade47bddaa_mcq.json,uavbench-mcq-v1,fixed_wing_jungle_inspection,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,E,False,"At 440s, UAV detects downlink loss at 120m AGL near waypoint with drifting obstacle at 2m/s west. Wind: 7.5m/s from 240°.","Fixed-wing UAV conducts jungle inspection mission in a confined polygonal airspace with a central no-fly cylinder zone. Mission involves flying a rectangular corridor pattern at 50m AGL within tight altitude limits of 20–150m. UAV is equipped with RGB camera payload and relies on GNSS, IMU, magnetometer, and barometer for navigation. Weather includes 7.5 m/s winds from 240° with gusts up to 4.2 m/s and poor visibility due to gusty conditions. A runway is required for takeoff and landing, with designated preferred and emergency landing sites. Another UAV traffic is present, entering the airspace from the east at 70m altitude and 18.0 m/s. A moving spherical obstacle drifts westward at 2 m/s near one of the waypoints. Communication experiences brief downlink loss windows at 120s and 450s into the mission. DAA system enforces 25m separation and 20s time-to-closest-approach thresholds for safety. Battery reserve is set to 30%, and energy consumption is modeled with aerodynamic drag and manoeuvring penalties.",Descend to 40m AGL and continue mission pattern,Climb to 140m AGL to avoid obstacle and traffic,"Hold altitude, delay waypoint until obstacle clears",Divert immediately to emergency landing site,"Turn north to bypass obstacle, maintain 50m AGL",Accelerate to exit corridor before downlink resumes,Descend to 30m AGL and proceed to preferred runway,"[""Descend to 40m AGL and continue mission pattern"", ""Climb to 140m AGL to avoid obstacle and traffic"", ""Hold altitude, delay waypoint until obstacle clears"", ""Divert immediately to emergency landing site"", ""Turn north to bypass obstacle, maintain 50m AGL"", ""Accelerate to exit corridor before downlink resumes"", ""Descend to 30m AGL and proceed to preferred runway""]","The UAV must maintain 20–150m AGL, avoid the moving obstacle, and preserve 25m separation from traffic while respecting VLOS and communication constraints. Option E bypasses the obstacle at safe altitude with minimal energy and risk, while A and G risk terrain collision in gusts, B increases exposure to wind and traffic conflict, C wastes battery and risks downlink-loss navigation, D is premature, and F violates DAA timing and energy reserves." 2025-11-01T18:05:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_border_patrol_cold_7a00ebf905fe_mcq.json,uavbench-mcq-v1,forest_border_patrol_cold,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"At 200s, icing reduces lift for 60s with 10 m/s gusts; GNSS has multipath and jamming. Which guidance strategy maintains corridor and altitude integrity?","Quadrotor UAV conducts a border patrol mission along a forest corridor in cold, snowy conditions with poor visibility. The flight occurs in a forested airspace with a defined geofence and both static and moving no-fly zones. Weather includes strong winds up to 10 m/s, gusts, snowfall, and icing conditions that impact performance. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, carrying a 0.5 kg payload. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference affects communications. The mission requires flying a predefined corridor pattern within strict altitude limits between 10 and 120 m AGL. A dynamic no-fly zone moves through the area, and a second UAV enters the airspace on a conflicting path. The UAV must avoid collisions while maintaining separation and managing battery reserves under increased drag from icing. Communication dropouts occur briefly at 150 and 300 seconds, complicating telemetry and control. An icing event at 200 seconds reduces efficiency for one minute, demanding adaptive flight control.",Rely solely on GNSS for position updates during icing event,Switch to IMU-visual-LiDAR fusion with thermal-assisted obstacle detection,Descend to 5 m AGL using LiDAR to minimize wind exposure,Halt propulsion and hover using RGB optical flow in snowfall,Follow predicted GNSS track despite signal degradation,Use magnetic heading to reorient during communication dropout,Increase altitude to 130 m AGL for better satellite visibility,"[""Rely solely on GNSS for position updates during icing event"", ""Switch to IMU-visual-LiDAR fusion with thermal-assisted obstacle detection"", ""Descend to 5 m AGL using LiDAR to minimize wind exposure"", ""Halt propulsion and hover using RGB optical flow in snowfall"", ""Follow predicted GNSS track despite signal degradation"", ""Use magnetic heading to reorient during communication dropout"", ""Increase altitude to 130 m AGL for better satellite visibility""]","GNSS is compromised by multipath and jamming, making it unreliable. IMU-visual-LiDAR fusion provides resilient state estimation, while thermal enhances obstacle detection in snow. This approach maintains navigation integrity and obstacle avoidance during icing and GNSS degradation." 2025-11-01T18:05:46Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/fixed_wing_lost_link_rtl_icing_40ab8acb355f_mcq.json,uavbench-mcq-v1,fixed_wing_lost_link_rtl_icing,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"At 325s, icing increases drag and GNSS degrades; which action balances fault recovery, obstacle avoidance, and energy under 15m ceiling?","Fixed-wing UAV conducts an indoor warehouse inspection mission in a confined airspace with a maximum altitude of 15 m AGL. The environment includes icing conditions that degrade aerodynamic performance mid-mission. The UAV is equipped with RGB camera payload and standard navigation sensors but lacks radar or lidar. A cylindrical no-fly zone is centered in the warehouse, requiring careful path planning to maintain separation. The mission follows a corridor pattern between four waypoints, requiring runway-assisted takeoff and landing. At 320 seconds, a communication link loss triggers return-to-launch (RTL) while an icing event begins five seconds later, increasing drag and reducing lift. GNSS signals are limited indoors, increasing reliance on IMU and barometer with potential for positioning errors. The UAV must manage battery reserves and avoid stalling due to ice accumulation and low-speed flight near the ceiling. Wind from the south and gusts add minor disturbances within the enclosed space. Mission success depends on fault recovery, obstacle avoidance, and safe landing despite degraded systems.",Climb to 14m to maximize clearance from obstacles,Execute immediate steep climb to escape icing layer,Reduce speed to minimize ice accretion impact,Follow RTL at constant altitude using IMU-barometer fusion,Divert laterally to avoid cylindrical no-fly zone center,Descend to 5m to improve sensor signal stability,Circle at current position to reassess navigation solution,"[""Climb to 14m to maximize clearance from obstacles"", ""Execute immediate steep climb to escape icing layer"", ""Reduce speed to minimize ice accretion impact"", ""Follow RTL at constant altitude using IMU-barometer fusion"", ""Divert laterally to avoid cylindrical no-fly zone center"", ""Descend to 5m to improve sensor signal stability"", ""Circle at current position to reassess navigation solution""]","RTL at constant altitude maintains mission continuity and leverages existing IMU-barometer integration, avoiding stall risks from low-altitude flight or energy-intensive climbs. Other options increase stall likelihood, reduce clearance, or waste battery. D balances obstacle avoidance, energy use, and navigation uncertainty under degraded conditions." 2025-11-01T18:05:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/fixed_wing_urban_canyon_cold_b49eda0618f3_mcq.json,uavbench-mcq-v1,fixed_wing_urban_canyon_cold,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best handles 12 m/s winds, GNSS jamming, and a 10-minute urban survey?","Fixed-wing UAV conducts a grid survey mission in an urban canyon environment. Flight occurs between 20 and 150 meters AGL within a defined polygonal geofence. Weather includes strong westerly winds up to 12 m/s, gusts, and icing conditions. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and barometer for navigation and sensing. Notable constraints include GNSS multipath, electromagnetic interference, and moderate signal jamming. A static no-fly zone and a moving no-fly cylinder must be avoided during flight. Wind shear and thermal updrafts affect flight dynamics at different altitudes. An icing event reduces aerodynamic efficiency temporarily during the mission. Communication experiences brief uplink/downlink outages, requiring resilient control. The mission requires runway access and must complete within a 10-minute time budget.",Fixed-wing with GNSS-only navigation,Quadcopter with lidar-only positioning,Fixed-wing with IMU-lidar-GNSS fusion,Glider relying on thermal updrafts,Rotary UAV with RGB camera only,Fixed-wing with barometer and camera,Hybrid VTOL using GPS and IMU,"[""Fixed-wing with GNSS-only navigation"", ""Quadcopter with lidar-only positioning"", ""Fixed-wing with IMU-lidar-GNSS fusion"", ""Glider relying on thermal updrafts"", ""Rotary UAV with RGB camera only"", ""Fixed-wing with barometer and camera"", ""Hybrid VTOL using GPS and IMU""]","IMU-lidar-GNSS fusion provides redundancy against GNSS jamming and multipath. Lidar aids obstacle avoidance in urban canyons, while IMU maintains attitude during signal outages. This integration ensures navigation resilience, accuracy, and wind resistance within the time-constrained mission." 2025-11-01T18:05:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_border_patrol_low_visibility_688e80c167f6_mcq.json,uavbench-mcq-v1,forest_border_patrol_low_visibility,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 200 seconds, icing reduces UAV performance; comms downlink fails twice. How should the UAV adjust its patrol at waypoint 3 (1200, 800) near the thermal hotspot?","This is a search and rescue mission conducted in a forested area with poor visibility due to fog and icing conditions. The UAV is a single-rotor helicopter equipped with RGB and thermal cameras, LiDAR, and full sensor suite including GNSS, IMU, and barometer. It operates within a defined airspace corridor between 30 and 300 meters AGL, bounded by a polygonal geofence. The environment features variable winds increasing with altitude, gusts, and thermal updrafts near a hotspot at (1200, 800). GNSS signals suffer from multipath effects and moderate jamming at -95 dBm, with additional electromagnetic interference present. A static no-fly zone is centered at (1000, 750), and a dynamic no-fly zone moves across the area starting at (500, 300). The mission includes a predefined corridor patrol pattern with five waypoints, requiring obstacle avoidance and adherence to separation standards of 25 meters. An icing fault event occurs at 200 seconds, reducing performance for one minute, and comms experience two brief downlink loss windows. The UAV must manage battery reserves carefully, with a 30% reserve required and energy consumption affected by drag and maneuvering. Traffic includes a single intruder UAV moving westbound at 20 m/s, requiring DAA compliance to avoid collision.",Climb to 280 m for better GNSS signal and thermal coverage,Delay hotspot scan by 40 s to conserve battery during icing,Descend to 40 m AGL to reduce wind exposure and stabilize sensors,Abort mission and return to base exceeding 30% battery reserve,Increase speed to 18 m/s to exit dynamic no-fly zone early,"Hold position at 150 m AGL, delaying intruder tracking","Continue standard patrol with LiDAR active, prioritizing thermal data","[""Climb to 280 m for better GNSS signal and thermal coverage"", ""Delay hotspot scan by 40 s to conserve battery during icing"", ""Descend to 40 m AGL to reduce wind exposure and stabilize sensors"", ""Abort mission and return to base exceeding 30% battery reserve"", ""Increase speed to 18 m/s to exit dynamic no-fly zone early"", ""Hold position at 150 m AGL, delaying intruder tracking"", ""Continue standard patrol with LiDAR active, prioritizing thermal data""]","G maintains mission continuity by balancing sensor use and trajectory adherence despite icing and comms loss. It avoids violating separation or timing constraints while supporting potential coordination with intruder tracking. Other options degrade situational awareness or waste energy, risking conflict or premature withdrawal." 2025-11-01T18:05:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_loiter_helicopter_2ff8cdfadf57_mcq.json,uavbench-mcq-v1,forest_loiter_helicopter,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,Loitering at 110m AGL with 8 m/s wind from west and thermal updrafts; battery at 45%. Which action maximizes mission endurance and safety?,"This is a loiter mission conducted by a battery-powered helicopter UAV in a forest environment. The UAV is equipped with GNSS, IMU, lidar, and RGB camera sensors, and carries a 0.3 kg payload. It operates within a predefined polygonal geofence, with altitude limits between 10 and 120 meters AGL. A static no-fly zone is present near the center of the area, and a dynamic no-fly zone moves slowly through the airspace. The mission involves orbiting key waypoints at set altitudes for up to 600 seconds. Wind is moderate at 6 m/s from the south, increasing to 8 m/s at higher altitudes with a directional shift. Thermal updrafts are present near two of the loiter points, potentially affecting flight dynamics. GNSS multipath is present, and there is a risk of signal interference. The UAV must maintain separation from traffic and moving obstacles, with a minimum safe distance of 25 meters. Constraints include battery endurance, sensor reliability, and adherence to no-fly zones and geofence boundaries.",Descend to 15m to reduce wind exposure and save power,Climb to 120m for stronger thermal lift and signal clarity,Maintain 110m and increase rotor RPM for stability,Exit loiter and return to base due to low battery,Reduce loiter time to 300s and descend to 50m,Hover at 100m using lidar for obstacle avoidance,Shift orbit west to avoid dynamic no-fly zone drift,"[""Descend to 15m to reduce wind exposure and save power"", ""Climb to 120m for stronger thermal lift and signal clarity"", ""Maintain 110m and increase rotor RPM for stability"", ""Exit loiter and return to base due to low battery"", ""Reduce loiter time to 300s and descend to 50m"", ""Hover at 100m using lidar for obstacle avoidance"", ""Shift orbit west to avoid dynamic no-fly zone drift""]","Descending to 15m reduces wind-induced power demand and avoids high-altitude gusts, conserving battery. It remains above minimum safe altitude, leverages ground effect for efficiency, and maintains GNSS/lidar reliability despite multipath. Higher altitudes increase energy use and control instability, while premature return or hovering compromises mission objectives unnecessarily." 2025-11-01T18:05:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/fixed_wing_warehouse_delivery_7404a0648c84_mcq.json,uavbench-mcq-v1,fixed_wing_warehouse_delivery,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"What airspeed and climb angle balance lift, drag, and wind drift during takeoff on a 240° runway with 6 m/s wind from 240°?","Fixed-wing UAV delivery mission in rural airspace with good visibility and moderate wind from 240 degrees at 6 m/s with gusts up to 3 m/s. The UAV has a battery-powered fixed-wing design weighing 5.2 kg with a 0.8 kg payload and RGB camera sensor. It operates between 20 m and 120 m AGL within a defined rectangular airspace. A cylindrical no-fly zone blocks part of the airspace centered at (100, 75) with a 20 m radius and vertical limits from 20 m to 80 m. The mission involves flying a corridor pattern through four waypoints to deliver cargo and returning to start. Launch and landing require use of a 350 m runway aligned at 240 degrees heading. The UAV must maintain separation of at least 25 m from obstacles with a minimum time-to-closest approach of 20 s. Flight is constrained by battery reserve needs, wind effects, and GNSS-dependent navigation without lidar or radar support. Mission success depends on timely completion within 600 seconds while avoiding collisions and adhering to all airspace rules.",Climb at 15 m/s and 8° to maximize lift-to-drag ratio,Use 12 m/s and 10° to reduce induced drag in headwind,Accelerate to 18 m/s for higher Reynolds number stability,Climb at 14 m/s with 12° to counteract crosswind drift,Fly at 13 m/s and 6° to minimize power consumption,Maintain 16 m/s and 5° to avoid stalling in gusts,Descend immediately to gain airspeed before climbing,"[""Climb at 15 m/s and 8° to maximize lift-to-drag ratio"", ""Use 12 m/s and 10° to reduce induced drag in headwind"", ""Accelerate to 18 m/s for higher Reynolds number stability"", ""Climb at 14 m/s with 12° to counteract crosswind drift"", ""Fly at 13 m/s and 6° to minimize power consumption"", ""Maintain 16 m/s and 5° to avoid stalling in gusts"", ""Descend immediately to gain airspeed before climbing""]","With wind aligned at 240°, the headwind component reduces groundspeed needed for takeoff, improving lift at lower airspeeds. At 15 m/s and 8°, the UAV operates near optimal L/D ratio, balancing climb efficiency and gust tolerance. Higher angles (B, D) increase induced drag and stall risk; lower angles (E, F) reduce climb performance, while descending (G) violates ascent requirements." 2025-11-01T18:05:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_loiter_rain_octocopter_a85b56e28dfe_mcq.json,uavbench-mcq-v1,forest_loiter_rain_octocopter,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"During loiter at 50 m AGL with 8 m/s gusts and icing, which control action maintains stability without exceeding thrust limits?","Octocopter UAV conducts a loiter mission in a forested area with poor visibility due to rain and icing conditions. The mission involves orbiting around waypoints at varying altitudes between 40 and 60 meters AGL. Strong winds up to 8 m/s with gusts and directional shear create challenging flight conditions. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors but faces GNSS multipath and electromagnetic interference. A static no-fly zone and a moving no-fly cylinder require dynamic path planning to maintain separation. Another UAV and a horizontally moving spherical obstacle introduce additional collision risks. An icing event occurs mid-mission, degrading performance for one minute. Radio signal loss occurs briefly at two intervals, testing communication resilience. Battery reserves are closely monitored, with a 30% reserve required for safe return. The UAV must avoid geofence breaches, maintain separation, and complete the loiter within a 600-second time budget.",Increase collective pitch to boost lift abruptly,Reduce airspeed to minimize drag in gusts,Apply asymmetric motor thrust to counter yaw shear,Steepen descent angle to evade moving obstacle,Hold level attitude with fixed throttle setting,Bank sharply to orbit at reduced radius,Modulate thrust differentially to track wind-aligned heading,"[""Increase collective pitch to boost lift abruptly"", ""Reduce airspeed to minimize drag in gusts"", ""Apply asymmetric motor thrust to counter yaw shear"", ""Steepen descent angle to evade moving obstacle"", ""Hold level attitude with fixed throttle setting"", ""Bank sharply to orbit at reduced radius"", ""Modulate thrust differentially to track wind-aligned heading""]",Differential thrust modulation counters wind shear while maintaining loiter accuracy and lift balance. Fixed or abrupt inputs risk stall or insufficient lift due to icing-induced aerodynamic degradation. G optimizes control authority within thrust and angle of attack limits under varying density altitude and Reynolds number effects. 2025-11-01T18:05:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/foggy_industrial_delivery_hexacopter_668afa5472f4_mcq.json,uavbench-mcq-v1,foggy_industrial_delivery_hexacopter,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which UAV configuration best balances 1 kg payload, 6.5 m/s wind, and 600-second endurance in fog with GNSS multipath?","This scenario involves a package delivery mission using a battery-powered hexacopter in a confined industrial plant airspace. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors, carrying a 1 kg payload. Weather conditions include fog and poor visibility, with a steady 6.5 m/s wind from 240 degrees and gusts up to 4 m/s. Flight altitude is restricted between 5 m and 60 m AGL within a defined polygonal geofence. A static no-fly zone blocks the central area, and a dynamic no-fly zone moves slowly through the environment. The mission requires navigating a corridor pattern through four waypoints within a 600-second time limit. An additional UAV and a moving spherical obstacle traverse the area, requiring separation management. The UAV must maintain a minimum separation of 10 meters and monitor time-to-closest approach. GNSS multipath effects may occur due to the industrial structures, impacting positioning accuracy. Battery endurance and collision avoidance are critical constraints for mission success.",Quadcopter with minimal sensors and no redundancy,Hexacopter with dual GNSS and lidar-based navigation,Fixed-wing with high speed but poor low-altitude control,Octocopter with excess thrust but 25% shorter endurance,"Hexacopter using GPS-only, no sensor fusion","VTOL with hybrid power, limited lidar integration","Single-lidar system, no IMU or camera backup","[""Quadcopter with minimal sensors and no redundancy"", ""Hexacopter with dual GNSS and lidar-based navigation"", ""Fixed-wing with high speed but poor low-altitude control"", ""Octocopter with excess thrust but 25% shorter endurance"", ""Hexacopter using GPS-only, no sensor fusion"", ""VTOL with hybrid power, limited lidar integration"", ""Single-lidar system, no IMU or camera backup""]","The hexacopter provides redundancy, payload margin, and multi-sensor fusion. Lidar compensates for GNSS multipath in fog. Dual GNSS enhances reliability without sacrificing endurance excessively." 2025-11-01T18:05:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/foggy_bridge_mapping_swarm_30e6ba96917f_mcq.json,uavbench-mcq-v1,foggy_bridge_mapping_swarm,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Given 2-minute icing, gusty SW winds, and 10–120m AGL landing limits, which action optimizes energy and safety during approach?","This mission involves a swarm of four multirotor drones conducting a bridge site mapping operation in poor visibility due to fog and icing conditions. The operation takes place within a confined airspace bounded by a polygon geofence, with a static no-fly zone over the bridge's central area and a moving no-fly zone near the approach path. Strong, gusty winds from the southwest increase flight complexity, particularly at higher altitudes where wind speed and direction shift noticeably. Each drone is equipped with GNSS, IMU, lidar, and RGB cameras, optimized for visual mapping despite payload and aerodynamic constraints. The swarm must maintain a minimum 10-meter separation between units and avoid dynamic obstacles, including a drifting sphere and another UAV on a fixed trajectory. GNSS signals are degraded by multipath effects and moderate interference, while brief communication dropouts occur during critical phases. The drones must also complete a runway-aligned approach for landing, constrained by altitude limits between 10 and 120 meters AGL. An icing event occurs mid-mission, reducing performance for two minutes, compounding challenges from already poor weather. The mission emphasizes resilience in navigation, swarm coordination, and adherence to safety thresholds under adverse environmental and operational conditions.",Ascend to 120m for clearer GNSS signals and straight descent,Maintain 80m altitude to avoid wind shear and conserve energy,Deploy lidar-only mapping to reduce RGB camera power draw,Increase speed to minimize exposure to drifting obstacle zone,Land immediately at 10m AGL to prevent icing-related failure,Circle at 60m awaiting GNSS signal stabilization,Reduce separation to 5m to shorten swarm coordination bandwidth,"[""Ascend to 120m for clearer GNSS signals and straight descent"", ""Maintain 80m altitude to avoid wind shear and conserve energy"", ""Deploy lidar-only mapping to reduce RGB camera power draw"", ""Increase speed to minimize exposure to drifting obstacle zone"", ""Land immediately at 10m AGL to prevent icing-related failure"", ""Circle at 60m awaiting GNSS signal stabilization"", ""Reduce separation to 5m to shorten swarm coordination bandwidth""]","Maintaining 80m balances wind exposure and power use, avoiding energy-intensive climbs or risky low-altitude operations. It preserves battery for adaptive control during icing and landing, while staying within safe AGL bounds. Other options increase energy demand, reduce safety margins, or violate separation and communication constraints." 2025-11-01T18:05:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_border_patrol_vtol_e2725e330e83_mcq.json,uavbench-mcq-v1,forest_border_patrol_vtol,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During GNSS jamming and 15 m/s winds, how should the UAV maintain position with LiDAR, IMU, and encrypted C2 link?","This is a search and rescue mission using a VTOL tiltrotor UAV in a forested area. The UAV operates within a defined rectangular airspace with a minimum altitude of 10 meters AGL and a maximum of 150 meters. Weather conditions include strong westerly winds up to 15 m/s at higher altitudes, gusts, poor visibility, and active hail. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, supporting both hover and fixed-wing flight. A static no-fly zone is present near the center, and a dynamic no-fly zone moves westward, requiring real-time avoidance. GNSS signals are degraded due to multipath effects and moderate jamming, with additional electromagnetic interference. The mission requires runway-assisted takeoff and landing, with a transition period between flight modes. A single traffic UAV and a moving spherical obstacle add complexity to path planning. An icing event occurs mid-mission, reducing performance for one minute. Communication experiences a brief downlink loss window, and safe separation from obstacles must be maintained throughout.",Rely solely on GNSS with packet retransmission,Switch to IMU-LiDAR fusion with zero-RTT authentication,Use unencrypted telemetry for faster control updates,Hover indefinitely using only barometric altitude,Disable intrusion detection to reduce processing load,Trust all GNSS signals despite spoofing indicators,Transition to fixed-wing mode to outrun jamming,"[""Rely solely on GNSS with packet retransmission"", ""Switch to IMU-LiDAR fusion with zero-RTT authentication"", ""Use unencrypted telemetry for faster control updates"", ""Hover indefinitely using only barometric altitude"", ""Disable intrusion detection to reduce processing load"", ""Trust all GNSS signals despite spoofing indicators"", ""Transition to fixed-wing mode to outrun jamming""]","IMU-LiDAR fusion provides resilient positioning during GNSS jamming, maintaining control stability. Zero-RTT authentication ensures encrypted command integrity without introducing latency. This balances cyber security and physical control under adversarial conditions." 2025-11-01T18:05:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/fixed_wing_forest_search_sandstorm_bd61d3508d27_mcq.json,uavbench-mcq-v1,fixed_wing_forest_search_sandstorm,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Which path avoids the NFZ at (400, 300), stays within 20–150 m AGL, and accounts for GNSS jamming from 120–165 s?","This is a fixed-wing UAV search and rescue mission conducted near an offshore platform in a forested coastal area. The airspace is structured with a minimum altitude of 20 meters AGL and a maximum of 150 meters, bounded by a rectangular geofence. A sandstorm reduces visibility to poor levels, and strong, increasing winds from the west create challenging flight conditions, with wind speeds rising from 9 m/s at ground level to 15 m/s at 200 meters. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, supporting search operations in adverse weather. A cylindrical no-fly zone centered at (400, 300) with a 50-meter radius restricts access to a critical area, requiring careful path planning. The mission follows a corridor search pattern across five waypoints, prioritizing coverage within a 600-second time budget. GNSS jamming is expected between 120 and 165 seconds, degrading navigation accuracy and increasing reliance on IMU and other sensors. Communication links are generally stable but experience a planned 45-second downlink loss window overlapping with the GNSS fault. The UAV must return to a designated runway for landing, which is required due to its fixed-wing configuration, while avoiding a moving spherical obstacle drifting eastward at 5 m/s.",Fly direct to W2 at 18 m AGL,Climb to 160 m AGL to bypass winds,Reroute east of NFZ at 140 m AGL,Descend to 10 m AGL to reduce drag,Hold at W1 until GNSS resumes,Cut through NFZ center to save time,Turn south of NFZ at 25 m AGL,"[""Fly direct to W2 at 18 m AGL"", ""Climb to 160 m AGL to bypass winds"", ""Reroute east of NFZ at 140 m AGL"", ""Descend to 10 m AGL to reduce drag"", ""Hold at W1 until GNSS resumes"", ""Cut through NFZ center to save time"", ""Turn south of NFZ at 25 m AGL""]",Flying south of the NFZ at 25 m AGL respects the 50-meter radius no-fly zone and stays above 20 m AGL. This path maintains GNSS-independent navigation during jamming by using terrain-relative LiDAR/IMU. It avoids wind escalation at higher altitudes and preserves time for the corridor search pattern. 2025-11-01T18:05:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_search_amphibious_uav_mountain_fog_95d170bbf981_mcq.json,uavbench-mcq-v1,forest_search_amphibious_uav_mountain_fog,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"At 190 m AGL, icing reduces lift for 1 min; thermal updraft near (850,620). Maintain 250 m AGL ceiling and avoid dynamic obstacle. What is optimal?","Search and rescue mission in mountainous terrain with dense fog and icing conditions. UAV is an amphibious rotorcraft with RGB and thermal cameras, LIDAR, and full navigation sensors. Flight occurs within a 250 m AGL ceiling, avoiding static and moving no-fly zones. Strong winds increase with altitude, shifting direction from 240° to 270° between 0–200 m. GNSS signals suffer from multipath and moderate jamming, with brief comms outages expected. Thermal updrafts near (850,620) may aid lift but complicate control in fog. Dynamic obstacle moves near a key waypoint, requiring real-time avoidance. Icing event reduces performance for one minute, impacting lift and battery. Traffic from another UAV enters from the southeast at 12 m/s. Mission requires runway-aligned takeoff and landing, with a 10-minute flight budget.",Climb to 250 m for smoother winds,Descend to 150 m and reroute west,Hold altitude and activate thermal camera,Accelerate to bypass dynamic obstacle,Divert to thermal updraft for lift assist,Descend immediately and return to runway,"Continue straight, relying on GNSS fix","[""Climb to 250 m for smoother winds"", ""Descend to 150 m and reroute west"", ""Hold altitude and activate thermal camera"", ""Accelerate to bypass dynamic obstacle"", ""Divert to thermal updraft for lift assist"", ""Descend immediately and return to runway"", ""Continue straight, relying on GNSS fix""]","Descending to 150 m reduces icing risk and avoids strong upper winds while staying above ground. Rerouting west mitigates dynamic obstacle and GNSS multipath near terrain. Other options risk control loss, violate altitude or endurance, or ignore separation." 2025-11-01T18:05:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_fog_swarm_loiter_258477e5c7ed_mcq.json,uavbench-mcq-v1,forest_fog_swarm_loiter,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During comms loss at 400s, which action maintains swarm integrity and secure control with lidar-aided navigation?","Swarm of four UAVs conducting a loiter mission in a forested area under poor visibility due to fog and icing conditions. Operating altitude ranges from 10 to 120 meters above ground level within a defined polygonal geofence. Weather includes 6.5 m/s winds from 240 degrees with gusts up to 3.2 m/s, increasing flight complexity. Each UAV is a 1.8 kg hexacopter equipped with GNSS, IMU, lidar, RGB camera, and a 0.3 kg payload. A central no-fly cylinder restricts access around coordinates (100, 75) between 10 and 60 meters altitude. The swarm must maintain at least 10 meters separation between units and avoid a moving spherical obstacle entering from the south. An external UAV crosses the airspace from north to south at 8 m/s, requiring dynamic separation monitoring. A simulated icing event occurs at 300 seconds, reducing performance for one minute with 40% severity. Brief comms loss is expected between seconds 400 and 410, challenging data downlink reliability. Mission ends after 600 seconds of loitering in an orbital pattern around four waypoints at 40 meters altitude.",Continue loiter using encrypted GNSS with lidar obstacle verification,Switch to pre-validated inertial routing with authenticated peer updates,Halt all motion until GNSS signal integrity is cryptographically confirmed,Ascend to 120m for better signal with open telemetry downlink,Broadcast unencrypted status pings to synchronize swarm state,Rely solely on IMU drift-prone data without cross-verification,Accept external UAV trajectory via unauthenticated command channel,"[""Continue loiter using encrypted GNSS with lidar obstacle verification"", ""Switch to pre-validated inertial routing with authenticated peer updates"", ""Halt all motion until GNSS signal integrity is cryptographically confirmed"", ""Ascend to 120m for better signal with open telemetry downlink"", ""Broadcast unencrypted status pings to synchronize swarm state"", ""Rely solely on IMU drift-prone data without cross-verification"", ""Accept external UAV trajectory via unauthenticated command channel""]","B ensures continuity via authenticated peer data and pre-validated paths, preserving control stability during comms loss. It resists spoofing by avoiding unverified GNSS or external inputs. Layered use of inertial navigation and secure swarm consensus maintains safety amid fog, icing, and signal loss." 2025-11-01T18:05:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_disaster_recon_solar_wing_12e3fba82a33_mcq.json,uavbench-mcq-v1,forest_disaster_recon_solar_wing,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 580 seconds, UAV battery is at 32%, 25m from landing. A moving obstacle enters its path. What should the UAV do?","This is a search and rescue mission in a forested airspace using a solar-powered fixed-wing UAV equipped with RGB and thermal cameras. The UAV operates between 20 and 150 meters above ground level within a defined rectangular geofence. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves diagonally through the environment. Moderate winds blow from the southwest at 6 m/s with gusts up to 3.5 m/s, affecting flight dynamics. The UAV must complete a corridor pattern over five waypoints within a 600-second time limit. A second UAV and a moving spherical obstacle introduce collision risks, requiring adherence to 25-meter separation and DAA thresholds. GNSS signals may suffer multipath interference due to terrain and canopy cover. The UAV launches from a designated point and must return to a preferred landing site unless an emergency arises. Battery endurance is critical, with a 30% reserve required and energy consumption influenced by drag and maneuvering. Mission success depends on completing the route without collisions, geofence violations, or breaching safety thresholds.",Land immediately despite obstacle proximity,Circle waiting for obstacle to pass,Abort mission and land at alternate site,Climb to 150m to avoid obstacle,Fly through gap under 25m separation,Proceed to landing maintaining course,Transmit alert and reroute around obstacle,"[""Land immediately despite obstacle proximity"", ""Circle waiting for obstacle to pass"", ""Abort mission and land at alternate site"", ""Climb to 150m to avoid obstacle"", ""Fly through gap under 25m separation"", ""Proceed to landing maintaining course"", ""Transmit alert and reroute around obstacle""]","The UAV must prioritize collision avoidance while preserving battery and mission integrity. Option G complies with 25-meter separation, avoids geofence or emergency violations, and upholds safety-of-life principles. Other options risk collision, waste energy, or compromise lawful operation." 2025-11-01T18:05:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_search_fixed_wing_hail_2b9fefbafed9_mcq.json,uavbench-mcq-v1,forest_search_fixed_wing_hail,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"At 150 m AGL with 12 m/s winds and hail, how should UAV adjust to conserve energy while maintaining search coverage?","Fixed-wing UAV conducts search and rescue in a forested area. Mission focuses on locating targets within a defined corridor pattern. Flight occurs between 30 and 180 meters above ground level. UAV equipped with RGB and thermal cameras for detection. Weather includes hail, poor visibility, and strong gusting winds. Wind increases with altitude, reaching up to 15 m/s at 200 m. Thermal updrafts and wind shear present additional flight challenges. GNSS signals suffer from multipath and interference. A no-fly zone blocks access near coordinates (600, 300). Dynamic obstacle and moving traffic require real-time avoidance.",Climb to 180 m for better camera coverage and wind stability,Descend to 30 m to reduce wind resistance and power use,Increase speed to 25 m/s to finish search faster,Disable RGB camera to save power and rely on thermal,Hover at waypoints to improve GNSS signal lock,Extend wingspan dynamically for improved lift efficiency,Activate de-icing and double camera frame rate,"[""Climb to 180 m for better camera coverage and wind stability"", ""Descend to 30 m to reduce wind resistance and power use"", ""Increase speed to 25 m/s to finish search faster"", ""Disable RGB camera to save power and rely on thermal"", ""Hover at waypoints to improve GNSS signal lock"", ""Extend wingspan dynamically for improved lift efficiency"", ""Activate de-icing and double camera frame rate""]","Descending to 30 m reduces exposure to strong winds, lowering power demand for stabilization. It improves thermal and RGB detection in forest gaps while avoiding energy-intensive climb and de-icing loads. Lower altitude mitigates wind shear and updraft effects, preserving battery for mission completion and safe return." 2025-11-01T18:05:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_search_fixed_wing_jungle_7f95fb3f76f6_mcq.json,uavbench-mcq-v1,forest_search_fixed_wing_jungle,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"At 450 seconds, microburst hits with 8.2 m/s wind from 210°; UAV must maintain control and secure GNSS/IMU fusion within 900-second mission.","Fixed-wing UAV conducts search and rescue mission in dense jungle airspace. Operating altitude ranges from 20 to 150 meters above ground level within a defined polygonal boundary. Weather includes strong winds at 8.2 m/s from 210 degrees, gusts up to 4.5 m/s, and poor visibility with microburst risk. UAV is equipped with radar, RGB and thermal cameras, and relies on GNSS, IMU, magnetometer, and barometer for navigation. A no-fly zone cylinder is located at (500, 400) with a 60-meter radius and vertical limits from 20 to 100 meters. Mission requires runway takeoff and landing, with preferred and emergency landing sites designated. Flight pattern follows a corridor search route with five waypoints, constrained by a 900-second time budget. A second UAV traffic vehicle crosses the airspace at 18 m/s on a westward heading. A moving spherical obstacle drifts at (−2, 3, 0) m/s near waypoint three, posing dynamic collision risk. Microburst event is simulated at 450 seconds for 25 seconds with high severity, challenging flight stability.",Disable GNSS and rely solely on unencrypted IMU for 30 seconds,Switch to encrypted IMU-barometer dead reckoning with spoofing detection,Increase control loop frequency to 200 Hz without authentication,Lock heading using magnetometer during rapid descent,Transmit unverified control commands to stabilize pitch,Use raw thermal data to override radar-based collision avoidance,Maintain GNSS reliance despite signal drift near no-fly zone,"[""Disable GNSS and rely solely on unencrypted IMU for 30 seconds"", ""Switch to encrypted IMU-barometer dead reckoning with spoofing detection"", ""Increase control loop frequency to 200 Hz without authentication"", ""Lock heading using magnetometer during rapid descent"", ""Transmit unverified control commands to stabilize pitch"", ""Use raw thermal data to override radar-based collision avoidance"", ""Maintain GNSS reliance despite signal drift near no-fly zone""]","Option B ensures control stability by fusing trusted sensors during GNSS denial, while encryption preserves data integrity. It detects spoofing and avoids single-point failures, enabling resilient recovery post-microburst without compromising cyber-physical security." 2025-11-01T18:05:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_loiter_octocopter_gusts_4ec89cc916ed_mcq.json,uavbench-mcq-v1,forest_loiter_octocopter_gusts,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"Given 6.5 m/s winds, 15m orbit radius, and 30% battery reserve, which action optimizes survey endurance and safety?","This UAV mission is a survey operation conducted in a forested airspace using an octocopter equipped with RGB camera and LIDAR payload. The flight occurs in good visibility with moderate winds at 6.5 m/s from 240 degrees and frequent gusts up to 4.2 m/s. The octocopter has a total mass of 6.5 kg including a 0.7 kg payload and runs on a 450 Wh battery with a 30% reserve requirement. The mission involves loitering in an orbit pattern with a 15-meter radius around four waypoints between 10 and 120 meters AGL. A cylindrical no-fly zone centered at (100, 100, 50) with a 20-meter radius and ceiling at 80 meters restricts flight path options. The UAV must avoid a moving spherical obstacle traveling eastward at 2 m/s and maintain 25 meters separation from other air traffic. GNSS signals may experience multipath effects due to the forest environment, challenging navigation accuracy. The UAV spawns at (20, 20, 30) and must return to the preferred landing site at (20, 20, 0) unless an emergency arises. A second UAV is present in the airspace, moving northward at 10 m/s, requiring detect-and-avoid compliance within 10 seconds time-to-closest approach. The mission emphasizes battery endurance, geofence compliance, and collision avoidance under gusty wind conditions.",Increase orbit speed to 8 m/s for quicker coverage,Descend to 10 m AGL to reduce wind exposure,Fly east orbit at 60 m AGL to avoid no-fly zone,Reduce orbit speed to 4 m/s to save power,Climb to 110 m AGL for better GNSS reception,Loiter at 80 m AGL near no-fly zone ceiling,Match speed with second UAV to ease coordination,"[""Increase orbit speed to 8 m/s for quicker coverage"", ""Descend to 10 m AGL to reduce wind exposure"", ""Fly east orbit at 60 m AGL to avoid no-fly zone"", ""Reduce orbit speed to 4 m/s to save power"", ""Climb to 110 m AGL for better GNSS reception"", ""Loiter at 80 m AGL near no-fly zone ceiling"", ""Match speed with second UAV to ease coordination""]","Reducing orbit speed to 4 m/s decreases power demand, extending endurance while maintaining control in gusts. It ensures safe separation from the no-fly zone and second UAV within detect-and-avoid limits. This balances energy, stability, and safety under GNSS uncertainty and wind loads." 2025-11-01T18:05:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_search_hexacopter_wind_farm_gusts_54c036916ed1_mcq.json,uavbench-mcq-v1,forest_search_hexacopter_wind_farm_gusts,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"With 10-min mission time, 30% battery reserve, and 8.5 m/s winds, which strategy maximizes search coverage without violating energy or separation limits?","This is a search and rescue mission using a battery-powered hexacopter equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place within a wind farm environment bounded by a fixed geofence and featuring both static and moving no-fly zones. Winds are moderate at 8.5 m/s from 240 degrees, with gusts up to 4.2 m/s, creating challenging flight conditions near turbine structures. The UAV must navigate between five waypoints in a corridor pattern while maintaining altitudes between 10 and 120 meters AGL. A dynamic no-fly zone moves slowly through the area, requiring real-time avoidance, and a spherical obstacle oscillates near a turbine. Air traffic includes another UAV entering from the east, with separation thresholds set at 25 meters and 15 seconds time-to-closest-approach. GNSS multipath effects are likely due to turbine interference, complicating positioning accuracy. Battery endurance is limited, with a 30% reserve required and a total mission time budget of 10 minutes. The UAV spawns at (20, 20, 30) and must avoid all obstacles and restricted zones while completing the search. Primary success metrics include mission completion, collision avoidance, and maintaining safe separation and geofence compliance.",Fly fastest speed to complete path early,Descend to 10 m AGL to reduce wind exposure,Disable LiDAR to save power and shorten path,Circle waypoint 3 to await dynamic no-fly zone passage,Increase camera resolution for better detection,Climb to 120 m for clearer GNSS signal,Alternate sensor use and optimize route dynamically,"[""Fly fastest speed to complete path early"", ""Descend to 10 m AGL to reduce wind exposure"", ""Disable LiDAR to save power and shorten path"", ""Circle waypoint 3 to await dynamic no-fly zone passage"", ""Increase camera resolution for better detection"", ""Climb to 120 m for clearer GNSS signal"", ""Alternate sensor use and optimize route dynamically""]","Adaptive sensor scheduling and path optimization balance power use with mission progress. This minimizes energy waste while maintaining situational awareness and avoiding dynamic obstacles. Other options either increase consumption, extend flight time, or risk geofence violations." 2025-11-01T18:05:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_search_icing_heavy_lift_19f32d9a6f02_mcq.json,uavbench-mcq-v1,forest_search_icing_heavy_lift,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 180s, icing reduces efficiency for 60s. Comm downlink lost 20s at 400s. How should the UAV prioritize cyber-physical resilience?","This is a search and rescue mission conducted in a forested airspace using a heavy-lift octocopter equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The UAV operates within an altitude range of 10 to 120 meters AGL inside a defined polygonal geofence. Weather conditions include moderate wind from 240 degrees, gusts, poor visibility, and icing conditions that temporarily affect performance. The UAV must avoid a static no-fly zone centered at (400, 300) and a moving no-fly cylinder drifting northeast at 1.5 m/s. A second UAV is present in the airspace, traveling west, requiring separation assurance with a 25-meter threshold. The mission follows a corridor search pattern through five waypoints within a 600-second time limit. An icing fault event occurs at 180 seconds, reducing efficiency for one minute. Communication experiences a brief 20-second downlink loss between 400 and 420 seconds. The UAV carries a 5 kg payload and must manage battery reserves carefully due to high hover power and environmental drag. Constraints include GNSS multipath risks in dense forest, dynamic obstacle avoidance, and adherence to altitude and separation rules.",Switch to encrypted datalink with authenticated commands,Disable LiDAR to save power during icing event,Increase GNSS update frequency to counteract multipath,Hover in place until downlink is restored,Rely solely on thermal camera for obstacle detection,Transmit unencrypted telemetry to reduce latency,Abort mission immediately after icing event,"[""Switch to encrypted datalink with authenticated commands"", ""Disable LiDAR to save power during icing event"", ""Increase GNSS update frequency to counteract multipath"", ""Hover in place until downlink is restored"", ""Rely solely on thermal camera for obstacle detection"", ""Transmit unencrypted telemetry to reduce latency"", ""Abort mission immediately after icing event""]","Encrypted and authenticated commands protect against spoofing during communication recovery, preserving control integrity. It maintains mission continuity without sacrificing security. Other options either increase vulnerability or overreact to transient faults." 2025-11-01T18:05:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_search_icing_warehouse_a74ad00fdc30_mcq.json,uavbench-mcq-v1,forest_search_icing_warehouse,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 200 seconds, icing reduces lift by 15% and thrust drops 20% at 12 m/s airspeed—how should pitch and power be adjusted?","Search and rescue mission inside a warehouse with poor visibility and icing conditions. Flight occurs in a 40x30 meter indoor airspace with a maximum altitude of 15 meters AGL. A quadrotor UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors is used. The UAV must avoid a static no-fly zone and a moving cylindrical obstacle drifting at 1.1 m/s. Another UAV is present, moving westbound at 8 m/s, requiring 5-meter separation and 5-second time-to-collision compliance. An icing event occurs at 200 seconds, reducing performance for one minute, with potential GNSS outages due to multipath. Mission waypoints follow a corridor pattern with a 10-minute time limit and strict battery reserve requirements. Communication dropouts occur briefly at 100 and 450 seconds, affecting data links. Primary landing site is at (5,5), with an emergency site at (35,25). Moving sphere obstacle at (15,25) drifts diagonally downward, adding dynamic collision risk.","Increase pitch 3°, maintain throttle","Reduce pitch 2°, increase throttle 25%","Increase pitch 5°, increase throttle 10%","Maintain pitch, reduce throttle 15%","Increase pitch 6°, increase throttle 30%","Reduce pitch 4°, reduce throttle 20%","Maintain pitch, increase throttle 22%","[""Increase pitch 3°, maintain throttle"", ""Reduce pitch 2°, increase throttle 25%"", ""Increase pitch 5°, increase throttle 10%"", ""Maintain pitch, reduce throttle 15%"", ""Increase pitch 6°, increase throttle 30%"", ""Reduce pitch 4°, reduce throttle 20%"", ""Maintain pitch, increase throttle 22%""]",Increasing throttle compensates for thrust loss from icing while maintaining pitch avoids exceeding critical angle of attack. Excessive pitch increases induced drag and stall risk due to degraded airfoil performance. Option G balances lift deficit with available power without destabilizing angle of attack. 2025-11-01T18:05:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/emergency_medical_delivery_harbor_vtol_e0fc36b41fd3_mcq.json,uavbench-mcq-v1,emergency_medical_delivery_harbor_vtol,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 120s, microburst hits with 8 m/s wind, GNSS jamming at -85 dBm; which action ensures control and data integrity?","This scenario involves an emergency medical delivery mission using a VTOL tiltrotor UAV in a harbor airspace. The UAV is equipped with a battery-powered propulsion system and carries a 1.5 kg payload, supported by sensors including GNSS, IMU, lidar, and RGB camera. Weather conditions include strong westerly winds at 8 m/s, increasing with altitude, gusts up to 4 m/s, and a risk of microbursts. The flight is constrained to an altitude range of 10–120 m AGL within a defined polygonal geofence. A static no-fly zone (cylinder, 40 m radius) is centered at (250, 300), and a dynamic NFZ moves diagonally across the area. The mission requires runway use and follows a corridor pattern with four waypoints, needing completion within 10 minutes. GNSS multipath effects and electromagnetic interference are present, with moderate signal jamming at -85 dBm. A microburst event occurs at 120 seconds, lasting 15 seconds with high severity, challenging flight stability. Traffic includes another UAV moving north, and a moving spherical obstacle drifts southwest, requiring real-time avoidance.","Switch to IMU-lidar dead reckoning, encrypt telemetry with AES-256",Increase GNSS update rate to override jamming interference,Disable encryption to reduce communication latency during turbulence,Rely solely on RGB camera for position fix in heavy gusts,Transmit unauthenticated emergency beacon to ATC for priority,Use open-loop control to minimize sensor feedback delays,Trust GNSS despite anomalies; payload priority overrides safety,"[""Switch to IMU-lidar dead reckoning, encrypt telemetry with AES-256"", ""Increase GNSS update rate to override jamming interference"", ""Disable encryption to reduce communication latency during turbulence"", ""Rely solely on RGB camera for position fix in heavy gusts"", ""Transmit unauthenticated emergency beacon to ATC for priority"", ""Use open-loop control to minimize sensor feedback delays"", ""Trust GNSS despite anomalies; payload priority overrides safety""]","A maintains control via sensor fusion when GNSS is compromised, and preserves data confidentiality and integrity under jamming. It enables resilience against both physical disturbance and cyber intrusion by using encrypted, trusted navigation sources. Other options either exacerbate vulnerabilities or disable critical security and stability layers." 2025-11-01T18:05:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_search_swarm_hot_mountains_8716a3ad1e3d_mcq.json,uavbench-mcq-v1,forest_search_swarm_hot_mountains,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"At 150 m AGL with 15.5 m/s winds and GNSS jamming, which navigation strategy maintains accuracy and safety?","This is a search and rescue mission conducted by a swarm of four small quadcopter drones in mountainous terrain. The operation takes place within a defined rectangular airspace containing both static and moving no-fly zones. Weather conditions include strong winds up to 15.5 m/s increasing with altitude, wind shear, and a risk of lightning. Each drone is equipped with RGB and thermal cameras for detection, relying on GNSS, IMU, and other standard sensors for navigation. The swarm must avoid a stationary cylindrical NFZ near the center and a moving NFZ drifting diagonally across the area. Additional challenges include moderate electromagnetic interference, periodic comms loss, and two induced faults: GNSS jamming and IMU bias. Drones operate between 30 and 180 meters AGL, maintaining at least 15 meters separation from each other and 25 meters from traffic. Wind conditions and sensor degradations increase navigation difficulty, especially during high-altitude segments. The mission must be completed within 15 minutes, with battery reserves maintained and without breaching airspace or safety thresholds.",Rely solely on GNSS and IMU dead reckoning,Switch to visual-inertial odometry with thermal feature tracking,Descend immediately using barometer-only altitude control,Use IMU integration with no sensor correction,Maintain course using magnetometer heading updates,Navigate via RGB optical flow in low-texture sky regions,Follow wind drift vector to conserve battery,"[""Rely solely on GNSS and IMU dead reckoning"", ""Switch to visual-inertial odometry with thermal feature tracking"", ""Descend immediately using barometer-only altitude control"", ""Use IMU integration with no sensor correction"", ""Maintain course using magnetometer heading updates"", ""Navigate via RGB optical flow in low-texture sky regions"", ""Follow wind drift vector to conserve battery""]",GNSS jamming and high winds invalidate pure GNSS/IMU solutions. Visual-inertial fusion with thermal features provides robust relative positioning despite wind and electromagnetic interference. Thermal tracking enhances feature persistence in mountainous terrain where RGB may fail. 2025-11-01T18:05:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_recon_hexacopter_fog_fba245b7f54f_mcq.json,uavbench-mcq-v1,forest_recon_hexacopter_fog,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 180s, icing reduces efficiency; GNSS multipath and 25m detect-and-avoid apply. Which action ensures control resilience and secure navigation?","This is a forest area reconnaissance mission using a battery-powered hexacopter equipped with RGB camera, LiDAR, and standard navigation sensors. The UAV operates in a confined polygonal airspace with a static no-fly zone and a moving no-fly zone drifting at low speed. Weather includes strong winds from the southwest, poor visibility due to fog, and icing conditions that temporarily degrade performance. The UAV must complete a corridor-style waypoint route below 120 meters AGL while avoiding obstacles and maintaining safe separation. A traffic UAV enters the airspace from outside, requiring detect-and-avoid compliance with a 25-meter separation threshold. GNSS multipath is a risk due to the forested environment, and brief communication dropouts are expected. The mission is time-constrained to 600 seconds, with return to a preferred landing site or emergency site if needed. The hexacopter has a 30% battery reserve requirement and reduced efficiency during an induced icing event at 180 seconds. Key challenges include navigation in poor visibility, energy management, dynamic no-fly zones, and maintaining detect-and-avoid compliance.",Switch to encrypted AHRS and lidar for navigation,Increase waypoint speed to maintain schedule,Transmit unencrypted telemetry to save power,Disable detect-and-avoid to reduce processor load,Rely solely on GNSS with no sensor fusion,Accept external reroute command without authentication,Land immediately regardless of battery state,"[""Switch to encrypted AHRS and lidar for navigation"", ""Increase waypoint speed to maintain schedule"", ""Transmit unencrypted telemetry to save power"", ""Disable detect-and-avoid to reduce processor load"", ""Rely solely on GNSS with no sensor fusion"", ""Accept external reroute command without authentication"", ""Land immediately regardless of battery state""]","Switching to encrypted AHRS and LiDAR maintains navigation integrity amid GNSS multipath and spoofing risks. It preserves control stability during icing by using trusted sensors. This ensures secure, resilient operation without violating detect-and-avoid or energy constraints." 2025-11-01T18:05:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_search_amphibious_uav_industrial_plant_2b9d2155f93f_mcq.json,uavbench-mcq-v1,forest_search_amphibious_uav_industrial_plant,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"At 450 seconds, UAV faces dynamic NFZ drift, 30% battery, and 6 m/s gusts. Which action avoids collision and preserves return?","This scenario involves a search and rescue mission using an amphibious fixed-wing UAV equipped with RGB and thermal cameras, operating within a confined industrial plant area. The UAV must navigate between four designated waypoints in a corridor pattern while maintaining altitudes between 5 and 120 meters AGL. Weather conditions include a 6 m/s wind from 240 degrees with gusts up to 3.5 m/s and poor visibility due to dust, reducing sensor effectiveness. A static no-fly zone restricts access to a 20-meter-radius cylinder near the center of the area, and a dynamic no-fly zone moves slowly through the environment, requiring real-time avoidance. The UAV must also maintain safe separation—minimum 10 meters or 5 seconds time-to-closest-approach—from a single intruder UAV and a moving spherical obstacle. GNSS signals are generally available but may experience brief outages, and the UAV is subject to communication loss windows at specific times. The UAV carries a 0.7 kg payload and relies on battery power with a 30% reserve requirement, limiting available energy for the 600-second mission. Launch occurs from a fixed point near the edge of the map, with a preferred return-to-land site and an emergency alternative. Sensor suite includes lidar, IMU, barometer, magnetometer, and GNSS, supporting navigation in challenging conditions despite potential multipath effects near industrial structures. Mission success depends on completing the search pattern without collisions, DAA breaches, or battery depletion.",Climb to 110 m AGL and hold for intruder pass,Descend to 10 m AGL and proceed direct to return site,"Turn right, fly 25 m radius around static NFZ edge",Accelerate through dynamic NFZ to reach safe zone,Divert to emergency runway despite crosswind,"Maintain course at 60 m AGL, reduce speed by 15%",Loiter at 5 m AGL until dynamic NFZ passes,"[""Climb to 110 m AGL and hold for intruder pass"", ""Descend to 10 m AGL and proceed direct to return site"", ""Turn right, fly 25 m radius around static NFZ edge"", ""Accelerate through dynamic NFZ to reach safe zone"", ""Divert to emergency runway despite crosswind"", ""Maintain course at 60 m AGL, reduce speed by 15%"", ""Loiter at 5 m AGL until dynamic NFZ passes""]","Maintaining 60 m AGL stays within 5–120 m AGL band and avoids multipath near ground. Reducing speed increases time-to-closest-approach, satisfying 5-second separation from dynamic NFZ and intruder. Other options violate NFZ, altitude limits, or risk battery depletion." 2025-11-01T18:05:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_search_underground_mine_fog_haps_5441394d305d_mcq.json,uavbench-mcq-v1,forest_search_underground_mine_fog_haps,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 200 seconds, icing reduces performance; UAV must approach within 30m of no-fly zone at 40m AGL with 20m swarm separation.","This is a search and rescue mission in an underground mine using a high-altitude pseudo-satellite UAV. The UAV operates within a confined airspace bounded by a 100x100 meter polygon and altitudes from 5 to 80 meters AGL. Poor visibility and icing conditions are present, with moderate wind increasing slightly with altitude. The UAV is equipped with a full sensor suite including GNSS, radar, LiDAR, RGB and thermal cameras. GNSS signals suffer from multipath and jamming, and electromagnetic interference is present. A no-fly zone is defined as a cylinder at the center of the area, which the UAV must avoid. The mission involves a grid search pattern with five waypoints, including a close approach near the no-fly zone. The UAV must maintain separation from a moving obstacle and another UAV in the airspace. The swarm consists of three UAVs with leader, scout, and relay roles, requiring minimum 20-meter inter-UAV separation. An icing fault is simulated at 200 seconds, reducing performance for one minute.",Descend to 30m AGL to reduce wind exposure and save energy,Climb to 70m AGL for better GNSS signal and obstacle clearance,"Maintain 40m AGL, reduce speed to conserve energy and control",Accelerate to exit icing zone quickly despite higher power use,Ascend to 80m AGL to maximize radar coverage and signal reception,Drop below 20m AGL to minimize electromagnetic interference effects,Hold altitude but increase thrust to counteract icing-induced drag,"[""Descend to 30m AGL to reduce wind exposure and save energy"", ""Climb to 70m AGL for better GNSS signal and obstacle clearance"", ""Maintain 40m AGL, reduce speed to conserve energy and control"", ""Accelerate to exit icing zone quickly despite higher power use"", ""Ascend to 80m AGL to maximize radar coverage and signal reception"", ""Drop below 20m AGL to minimize electromagnetic interference effects"", ""Hold altitude but increase thrust to counteract icing-induced drag""]","Maintaining 40m AGL ensures safe altitude within operational bounds and proximity to the search grid. Reducing speed conserves energy during reduced performance, maintains control stability, and ensures separation from swarm and moving obstacles despite degraded GNSS. Other options violate altitude constraints, increase risk near the no-fly zone, or over-consume limited power during critical fault." 2025-11-01T18:05:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_recon_vtol_tiltrotor_00942da8d163_mcq.json,uavbench-mcq-v1,forest_recon_vtol_tiltrotor,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,"Which UAV configuration best balances endurance, obstacle avoidance, and VTOL capability within 600 seconds and 30% battery reserve?","This is a fixed-wing area reconnaissance mission using a VTOL tiltrotor UAV in a forested environment. The UAV operates within an altitude range of 20 to 120 meters AGL, bounded by a polygonal geofence. Weather includes a 6 m/s wind from 240 degrees, gusts up to 3.5 m/s, and thermal updrafts at two locations that can assist lift. The UAV is equipped with RGB and thermal cameras for payload, relying on battery power with a 30% reserve requirement. GNSS signals are degraded due to multipath effects and electromagnetic interference, and a cylindrical no-fly zone is present near the center of the area. The mission requires use of a runway for landing, with a preferred site at the threshold and an emergency site available. The UAV must avoid a moving spherical obstacle and maintain separation from other air traffic. Communication includes brief uplink/downlink outages between 120–135 seconds. The mission must be completed within 600 seconds, following a corridor flight pattern through designated waypoints.",Fixed-wing with VTOL tiltrotor and dual cameras,Multirotor with thermal camera only,Fixed-wing with vertical takeoff skids,VTOL with mechanical obstacle detection,"Fixed-wing launched by catapult, no VTOL",Hybrid quadplane with reduced battery capacity,"Glider with thermal updraft reliance, no propulsion","[""Fixed-wing with VTOL tiltrotor and dual cameras"", ""Multirotor with thermal camera only"", ""Fixed-wing with vertical takeoff skids"", ""VTOL with mechanical obstacle detection"", ""Fixed-wing launched by catapult, no VTOL"", ""Hybrid quadplane with reduced battery capacity"", ""Glider with thermal updraft reliance, no propulsion""]","System A supports VTOL, efficient forward flight, and dual-sensor payload, enabling compliance with runway-free operations, corridor navigation, and mission duration. It leverages thermal updrafts and maintains GNSS-independent stability better than others. Other options fail in propulsion redundancy, sensor coverage, or geofence adherence under wind gusts and communication outages." 2025-11-01T18:05:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_search_convertiplane_urban_hail_20890005a15c_mcq.json,uavbench-mcq-v1,forest_search_convertiplane_urban_hail,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Which route adjusts for hail altitude, avoids the drifting sphere at 45m AGL, and stays within 10–120m AGL under 10-minute spiral search?","This is a search and rescue mission using a battery-powered convertiplane UAV in dense urban airspace. The UAV is equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. Operations occur in poor visibility with active hail and strong, gusty winds increasing with altitude. A significant no-fly zone blocks the central area, and a moving no-fly zone adds dynamic constraint. The UAV must avoid a drifting spherical obstacle and maintain separation from other traffic. GNSS signals suffer from multipath and moderate jamming, while electromagnetic interference is present. The mission requires use of a runway for landing and includes a planned icing event that impacts performance. Flight is confined between 10 and 120 meters AGL within a defined polygonal geofence. The UAV follows a spiral search pattern through designated waypoints within a 10-minute time budget. Downlink communication is unreliable with intermittent outages, requiring autonomous operation.",Climb to 130m AGL to bypass hail; continue spiral pattern,Descend to 5m AGL to avoid wind; proceed direct to waypoint 3,"Maintain 40m AGL, deviate east 200m to bypass sphere, resume spiral",Fly straight through no-fly zone center to save 90 seconds,Delay re-routing 45 seconds due to comms outage; hold current heading,"Turn left with 150m radius to avoid sphere, stay at 110m AGL","Reduce speed 30%, fly direct through drifting sphere at 60m AGL","[""Climb to 130m AGL to bypass hail; continue spiral pattern"", ""Descend to 5m AGL to avoid wind; proceed direct to waypoint 3"", ""Maintain 40m AGL, deviate east 200m to bypass sphere, resume spiral"", ""Fly straight through no-fly zone center to save 90 seconds"", ""Delay re-routing 45 seconds due to comms outage; hold current heading"", ""Turn left with 150m radius to avoid sphere, stay at 110m AGL"", ""Reduce speed 30%, fly direct through drifting sphere at 60m AGL""]","Maintaining 40m AGL stays within the 10–120m AGL band and avoids gusts at higher altitudes. The eastward deviation safely bypasses the drifting sphere while preserving spiral pattern integrity. Other options breach altitude limits, enter NFZs, or fail to account for obstacle motion or communication latency." 2025-11-01T18:05:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_search_hexacopter_icing_10ad770ca549_mcq.json,uavbench-mcq-v1,forest_search_hexacopter_icing,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 180 s, icing reduces lift by 15% at 6.5 m/s wind; which action restores equilibrium without exceeding 120 m AGL?","This is a search and rescue mission conducted in a forested airspace using a hexacopter UAV. The hexacopter is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors including GNSS, IMU, and barometer. Weather conditions include moderate winds of 6.5 m/s increasing with altitude, poor visibility, and icing conditions that temporarily affect the UAV. The flight occurs within a defined polygonal geofence, with a static no-fly zone over a cylinder and an additional moving no-fly zone drifting slowly. The UAV must maintain separation from dynamic obstacles and other air traffic, with a minimum inter-UAV separation of 25 meters enforced by detect-and-avoid logic. GNSS performance is degraded due to multipath effects, electromagnetic interference, and periodic signal jamming. The UAV operates between 10 and 120 meters AGL, following a corridor search pattern across three waypoints under a 600-second time limit. An icing event occurs at 180 seconds, reducing performance for one minute, while communication dropouts happen at 200 and 400 seconds. The mission requires safe return to a preferred landing site, with an emergency site available, all while managing battery reserves and environmental risks.",Increase angle of attack by 4° to regain lift,Reduce airspeed to 8 m/s to decrease drag,Descend to 8 m AGL to exploit ground effect,Bank 30° to increase vertical lift component,Pitch down 2° to reduce induced drag,Apply full throttle without attitude change,Turn into wind and climb to 130 m AGL,"[""Increase angle of attack by 4° to regain lift"", ""Reduce airspeed to 8 m/s to decrease drag"", ""Descend to 8 m AGL to exploit ground effect"", ""Bank 30° to increase vertical lift component"", ""Pitch down 2° to reduce induced drag"", ""Apply full throttle without attitude change"", ""Turn into wind and climb to 130 m AGL""]","Increasing angle of attack compensates for reduced wing efficiency due to ice, restoring lift within aerodynamic limits. Other options either exceed structural or altitude constraints or reduce lift further. A 4° increase balances stall margin and lift demand at current airspeed and density altitude." 2025-11-01T18:05:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_bridge_inspection_volcanic_zone_67f5025b2164_mcq.json,uavbench-mcq-v1,glider_bridge_inspection_volcanic_zone,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 60 m AGL in fog with 4 m/s gusts and GNSS multipath, which navigation strategy maintains accuracy near the bridge?","This is a glider UAV inspection mission in a volcanic zone with poor visibility due to fog and icing conditions. The UAV, equipped with RGB and thermal cameras, LiDAR, and full sensor suite, must navigate near a bridge structure while avoiding no-fly zones. Strong and variable winds increase with altitude, with gusts up to 4 m/s and wind shear across layers. Thermal updrafts and GNSS multipath interference, along with moderate jamming and electromagnetic interference, challenge navigation. A static no-fly cylinder is centered at (600, 400), and a dynamic no-fly zone moves toward the northwest. The mission requires flying a corridor pattern at 60 m AGL around four waypoints, returning to start, with runway-assisted takeoff and landing. A traffic UAV approaches from the east, and a moving spherical obstacle drifts slowly through the area. An icing event occurs mid-mission, reducing performance for one minute, while communication dropouts briefly affect uplink and downlink. The glider must manage battery reserves carefully under increased drag and limited lift, ensuring separation from obstacles and maintaining mission success within strict altitude and geofence constraints.",Rely solely on GNSS with Kalman smoothing,Switch to pure IMU dead reckoning,Fuse LiDAR SLAM with thermal-feature tracking,Use RGB optical flow in low visibility,Depend on magnetometer for heading stability,Prioritize GNSS despite jamming and multipath,Navigate by wind vector estimation,"[""Rely solely on GNSS with Kalman smoothing"", ""Switch to pure IMU dead reckoning"", ""Fuse LiDAR SLAM with thermal-feature tracking"", ""Use RGB optical flow in low visibility"", ""Depend on magnetometer for heading stability"", ""Prioritize GNSS despite jamming and multipath"", ""Navigate by wind vector estimation""]","LiDAR SLAM provides precise local mapping unaffected by GNSS multipath or jamming, while thermal features enhance perception in fog. Fusing with visual-inertial odometry maintains alignment during brief dropouts. This dual-redundant fusion counters wind-induced drift and preserves geofence compliance near the bridge." 2025-11-01T18:05:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_swarm_loiter_hail_139b2b43d4b1_mcq.json,uavbench-mcq-v1,forest_swarm_loiter_hail,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,Which UAV configuration best maintains swarm coordination at 20 m altitude with 8 m/s winds and 30-second GNSS denial?,"This is a swarm UAV survey mission in a forested area with poor visibility and active hail. The environment includes strong 8 m/s winds from 240 degrees with gusts up to 4 m/s. Five small quadcopter drones, each equipped with RGB cameras and standard navigation sensors, operate as a coordinated swarm. The mission involves loitering in an orbital pattern at 20 meters altitude within a 200x200 meter geofenced zone. A cylindrical no-fly zone is centered at (100,100) with a 20-meter radius and vertical limits from 10 to 80 meters. Minimum separation between UAVs is 10 meters, with detect-and-avoid thresholds set at 25 meters and 15 seconds time-to-collision. GNSS signals are jammed for 30 seconds starting at 200 seconds into the mission, posing a navigation challenge. The drones rely on battery power with a 30% reserve requirement and limited energy efficiency due to weather and payload drag. Landing sites include a preferred spot at (50,50) and an emergency backup at (150,150).",Fixed-wing with long endurance but poor hover capability,Quadcopter with standard sensors and RGB camera payload,Hexacopter with dual GNSS and visual-inertial navigation,Quadcopter relying solely on GNSS for position updates,Lightweight tricopter with minimal battery for agility,Solar-powered UAV with high-altitude loiter strategy,Tethered drone with ground-based power and control,"[""Fixed-wing with long endurance but poor hover capability"", ""Quadcopter with standard sensors and RGB camera payload"", ""Hexacopter with dual GNSS and visual-inertial navigation"", ""Quadcopter relying solely on GNSS for position updates"", ""Lightweight tricopter with minimal battery for agility"", ""Solar-powered UAV with high-altitude loiter strategy"", ""Tethered drone with ground-based power and control""]","The hexacopter offers redundant propulsion and dual navigation systems, critical during GNSS jamming and windy conditions. Visual-inertial navigation enables position holding without GNSS, while extra motors improve wind resistance and fault tolerance. Other options fail in hover precision, energy resilience, or lose navigation during the 30-second jamming event." 2025-11-01T18:05:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_search_mountainous_microburst_c55dce610fad_mcq.json,uavbench-mcq-v1,forest_search_mountainous_microburst,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 70m AGL, 15m/s winds, and 45% battery, what action balances energy, safety, and mission continuity during a 120s downlink outage?","Heavy-lift UAV conducts search and rescue in mountainous terrain with a thermal and RGB camera payload. Mission takes place in a 500x500 meter geofenced area with a central no-fly zone and a moving dynamic exclusion zone. Strong winds increase with altitude, shifting from 8.5 m/s at ground level to 15 m/s at 200 meters, with microburst risk present. GNSS signals suffer from multipath and moderate jamming, while electromagnetic interference affects sensor reliability. The UAV operates between 10 and 180 meters AGL, following a grid search pattern across five waypoints at 50–70 meters altitude. A second UAV and a moving spherical obstacle create dynamic collision risks. DAA system enforces 25-meter separation and 15-second time-to-closest-approach thresholds. Communication experiences brief downlink outages at 120 and 450 seconds into the mission. Battery reserves are set to 30%, with strict monitoring due to high wind and energy demands.",Climb to 120m for better GNSS signal clarity,Descend to 40m to reduce wind resistance and power use,Maintain altitude and increase speed to finish faster,Hover for 30 seconds to stabilize sensors after microburst,Deviate 30m west to avoid dynamic obstacle early,Ascend to 180m for stronger downlink reception,Reduce speed by 20% while holding altitude for control,"[""Climb to 120m for better GNSS signal clarity"", ""Descend to 40m to reduce wind resistance and power use"", ""Maintain altitude and increase speed to finish faster"", ""Hover for 30 seconds to stabilize sensors after microburst"", ""Deviate 30m west to avoid dynamic obstacle early"", ""Ascend to 180m for stronger downlink reception"", ""Reduce speed by 20% while holding altitude for control""]","Reducing speed improves control stability in high winds and lowers energy consumption, critical with declining battery. It maintains safe separation and avoids climbing into stronger winds or losing communication altitude. This balances aerodynamic efficiency, sensor reliability, and DAA compliance during the outage." 2025-11-01T18:05:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_inspection_forest_microburst_e6d5bb9459c4_mcq.json,uavbench-mcq-v1,glider_inspection_forest_microburst,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"Glider must complete 4 waypoints in 600 s with 30% battery reserve, 11 m/s winds, and microburst risk.","A fixed-wing glider UAV conducts an inspection mission in a forested area with challenging wind conditions. The airspace is bounded between 10 and 120 meters AGL, featuring a static no-fly zone and a moving restricted zone. Winds increase with altitude, shifting direction from 230° to 250°, with speeds up to 11 m/s and gusts reaching 4.2 m/s. A microburst risk and potential GNSS multipath interference add operational complexity. The glider carries an RGB camera and LIDAR payload, relying on battery power with a 30% reserve requirement. It must navigate around a slow-moving spherical obstacle and maintain separation from another UAV flying through the area. Thermal updrafts are present, offering potential lift but requiring precise control. The mission follows a corridor pattern through four waypoints within a 600-second time limit. Two faults are simulated: a 10-second communication loss and a 30-second icing event reducing performance. The UAV must avoid geofence breaches, maintain safe separation, and land at a preferred or emergency site.",Climb to 120 m for faster transit using thermal updrafts,Descend to 10 m to avoid wind gusts and save power,Fly direct at mid-altitude to balance wind and lift,Circle in thermal to recharge battery before proceeding,Disable LIDAR to reduce power and extend endurance,Increase speed continuously to minimize time exposure,Hover near each waypoint to ensure image clarity,"[""Climb to 120 m for faster transit using thermal updrafts"", ""Descend to 10 m to avoid wind gusts and save power"", ""Fly direct at mid-altitude to balance wind and lift"", ""Circle in thermal to recharge battery before proceeding"", ""Disable LIDAR to reduce power and extend endurance"", ""Increase speed continuously to minimize time exposure"", ""Hover near each waypoint to ensure image clarity""]","Disabling LIDAR reduces power consumption, preserving battery for critical flight control during icing and communication loss. It allows safe mission completion within energy limits while maintaining camera functionality for inspection. Other options waste energy or increase risk beyond reserve margins." 2025-11-01T18:05:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_search_swarm_powerline_corridor_4e6ccdd9952e_mcq.json,uavbench-mcq-v1,forest_search_swarm_powerline_corridor,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"With GNSS multipath risk, 30% battery reserve, and downlink outages at 120–130s, which protocol ensures secure, resilient swarm coordination?","This scenario involves a search and rescue mission conducted by a swarm of four drones within a forested powerline corridor. The airspace is constrained by a rectangular geofence with both static and moving no-fly zones, including a dynamic obstacle shifting across the area. Weather conditions include a moderate 6 m/s wind from 135 degrees with gusts up to 3 m/s, but visibility is good. The UAVs are multirotor swarm drones equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Each drone has a 140 Wh battery, with a reserve fraction of 30%, limiting effective flight time. The swarm must maintain minimum inter-drone separation of 10 meters and avoid a moving obstacle and another UAV on a fixed path. GNSS signals are available but subject to potential multipath effects due to the forested corridor and powerline structures. Communication experiences brief downlink outages between 120–130s and 450–465s, with minimum RSSI at -85 dBm. The mission must be completed within 600 seconds, navigating between five waypoints while avoiding obstacles and maintaining safety thresholds.",Use unencrypted UDP for faster telemetry updates,Authenticate commands via DTLS with forward secrecy,Rely solely on GNSS during communication outages,Disable LiDAR to save power for encrypted comms,Broadcast waypoints in plaintext every 10 seconds,Switch to open-loop control during RSSI drops,Pre-share symmetric keys without rotation,"[""Use unencrypted UDP for faster telemetry updates"", ""Authenticate commands via DTLS with forward secrecy"", ""Rely solely on GNSS during communication outages"", ""Disable LiDAR to save power for encrypted comms"", ""Broadcast waypoints in plaintext every 10 seconds"", ""Switch to open-loop control during RSSI drops"", ""Pre-share symmetric keys without rotation""]","DTLS provides encryption and authentication, preserving command integrity during downlink outages and resisting spoofing. It enables secure rekeying, mitigating risks from GNSS multipath and brief jamming. Other options expose control channels or weaken resilience under cyber-physical stress." 2025-11-01T18:05:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_lost_link_rtl_crosswind_be800201546f_mcq.json,uavbench-mcq-v1,glider_lost_link_rtl_crosswind,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"At 320 s, lost-link triggers RTL with 30% battery reserve, 8.5 m/s west wind, and NFZ present. What ensures safe return?","This UAV mission involves a fixed-wing glider conducting an inspection along a powerline corridor. The flight occurs in a rectangular airspace with a central no-fly zone cylinder. Winds are strong at 8.5 m/s from the west, with gusts up to 4.2 m/s, creating crosswind conditions. The glider carries an RGB camera payload for visual inspection tasks. It relies on GNSS, IMU, magnetometer, and barometer for navigation, with no radar or lidar. A critical lost-link fault is triggered at 320 seconds, forcing RTL while downlink fails. The UAV must maintain separation from another traffic UAV moving northbound. Flight is constrained between 30 m and 120 m AGL with strict geofencing and NFZ avoidance. The mission requires a runway landing, and battery reserve is set at 30%. Wind and fault timing challenge navigation, communication, and safe return.",Climb to 120 m for better GNSS signal and glide home,Descend to 30 m AGL and fly direct upwind path,Enter loiter to await link restoration before returning,Jettison camera to reduce weight and extend glide range,Follow curved path south to avoid NFZ and use tailwind,Increase airspeed to reduce exposure to gusts and crosswind,Reduce camera power and adjust heading for wind-optimal glide,"[""Climb to 120 m for better GNSS signal and glide home"", ""Descend to 30 m AGL and fly direct upwind path"", ""Enter loiter to await link restoration before returning"", ""Jettison camera to reduce weight and extend glide range"", ""Follow curved path south to avoid NFZ and use tailwind"", ""Increase airspeed to reduce exposure to gusts and crosswind"", ""Reduce camera power and adjust heading for wind-optimal glide""]","Reducing camera power conserves energy for critical systems during RTL. Adjusting heading compensates for crosswind drift while optimizing glide ratio extends range within 30% battery reserve. This balances resource use, safety, and return feasibility without violating NFZ or AGL constraints." 2025-11-01T18:05:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_lightning_risk_mine_survey_49cca6fa910b_mcq.json,uavbench-mcq-v1,glider_lightning_risk_mine_survey,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 240s, GNSS and uplink fail; wind gusts to 3.5 m/s; maintain 5m separation in 1–15m AGL envelope.","This UAV mission is a survey operation conducted within an underground mine using a fixed-wing glider. The glider is equipped with RGB camera and LiDAR payloads for data collection. It operates in poor visibility with a risk of lightning, despite being underground, indicating potential environmental modeling anomalies. Wind speed is moderate at 6 m/s with gusts up to 3.5 m/s, coming from 240 degrees. The flight envelope is tightly constrained between 1 and 15 meters AGL within a defined polygonal geofence. A static no-fly zone and a moving cylindrical NFZ create dynamic obstacles requiring real-time avoidance. Another UAV and a moving spherical obstacle add complexity to traffic and collision avoidance. The glider must maintain separation of at least 5 meters and monitor time-to-closest-approach thresholds. A GNSS jamming event occurs at 240 seconds, lasting 30 seconds, coinciding with uplink communication loss, demanding robust navigation and fault tolerance.",Continue mission using inertial navigation and pre-loaded waypoints.,Climb to 20m AGL to avoid obstacles and improve signal reception.,Abort mission immediately and execute emergency landing procedure.,Descend to 0.5m AGL to minimize collision risk with UAV traffic.,Hover in place using LiDAR for relative positioning until GNSS returns.,Exit geofence briefly to regain GNSS signal and reacquire link.,Rely on visual pilot override despite zero visibility and no uplink.,"[""Continue mission using inertial navigation and pre-loaded waypoints."", ""Climb to 20m AGL to avoid obstacles and improve signal reception."", ""Abort mission immediately and execute emergency landing procedure."", ""Descend to 0.5m AGL to minimize collision risk with UAV traffic."", ""Hover in place using LiDAR for relative positioning until GNSS returns."", ""Exit geofence briefly to regain GNSS signal and reacquire link."", ""Rely on visual pilot override despite zero visibility and no uplink.""]","GNSS and uplink loss underground creates uncontrolled navigation risk in a tight, dynamic environment. Continuing or altering flight under faulty sensing violates safety-of-life principles. Immediate abort ensures minimal hazard to infrastructure and avoids undetected collision with moving obstacles." 2025-11-01T18:05:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_lost_link_rtl_volcanic_dust_09acbebf9c81_mcq.json,uavbench-mcq-v1,glider_lost_link_rtl_volcanic_dust,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"During a 60-second comms loss in strong winds, how should the glider adjust its survey path to maintain coordination with the cross-path UAV and no-fly zones?","Mission is a corridor survey using a fixed-wing glider UAV equipped with RGB camera payload. Flight occurs in a volcanic zone with poor visibility due to dust and active thermal plumes. Weather includes strong winds increasing with altitude, gusts, and challenging wind shear. The UAV relies on battery power and aerodynamic efficiency, with limited reserve capacity. GNSS signals are degraded due to multipath effects and moderate jamming interference. A static no-fly zone blocks the central area, and a dynamic no-fly zone moves through the airspace. An emergency landing site is available near the launch point. Mid-mission, the UAV experiences a 60-second communication loss triggering return-to-launch. Air traffic includes another UAV flying cross-path, requiring separation monitoring. Operating constraints include strict altitude limits, collision avoidance, and sensor reliability risks.",Climb to maximum altitude for better GNSS reception and camera coverage,Continue original path using last known position and scheduled timing,Descend immediately to avoid wind shear and reduce energy use,Divert toward emergency landing site while broadcasting hold signal,Maintain current altitude and delay survey segment until comms restored,Proceed through static no-fly zone to regain schedule synchronization,Turn 90° right to create lateral separation from cross-path UAV,"[""Climb to maximum altitude for better GNSS reception and camera coverage"", ""Continue original path using last known position and scheduled timing"", ""Descend immediately to avoid wind shear and reduce energy use"", ""Divert toward emergency landing site while broadcasting hold signal"", ""Maintain current altitude and delay survey segment until comms restored"", ""Proceed through static no-fly zone to regain schedule synchronization"", ""Turn 90° right to create lateral separation from cross-path UAV""]",Maintaining altitude preserves energy and avoids unpredictable thermal interactions while waiting for comms restoration. This ensures the glider remains within safe coordination windows with the other UAV and respects dynamic no-fly zone timing. Resuming after confirmation prevents collision risks and maintains mission-wide situational awareness. 2025-11-01T18:05:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_search_vtol_hail_c3773005f862_mcq.json,uavbench-mcq-v1,forest_search_vtol_hail,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"At 130s, icing ends and UAV is at 140m AGL, 50m from dynamic NFZ. Wind gusts hit 12 m/s. What immediate action minimizes risk while maintaining mission?","This is a search and rescue mission conducted in suburban airspace using a VTOL tiltrotor UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The UAV operates within a 200m x 200m geofenced area, with altitude restricted between 10m and 150m AGL. A static no-fly zone and a moving dynamic no-fly zone require real-time avoidance, along with a detected moving obstacle. The mission must be completed within 600 seconds, following a grid search pattern with five designated waypoints. The UAV must use a runway for landing, requiring coordinated transition from fixed-wing to vertical flight. Weather conditions include strong winds up to 12 m/s, gusts, poor visibility, and active hail, increasing flight risk. An icing event occurs at 120 seconds, reducing performance for one minute. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference and periodic comms loss affect reliability. The UAV must maintain separation from another UAV and avoid DAA breaches, all while managing battery reserves under challenging aerodynamic and environmental loads.",Descend to 10m AGL and continue grid search,Climb to 150m AGL for wind stability,Hold position at 140m AGL until comms stabilize,Divert immediately to runway via fixed-wing glide,Transition to hover and await icing recovery,Descend to 80m AGL and reroute around NFZ,Accelerate through grid at 150m AGL to save time,"[""Descend to 10m AGL and continue grid search"", ""Climb to 150m AGL for wind stability"", ""Hold position at 140m AGL until comms stabilize"", ""Divert immediately to runway via fixed-wing glide"", ""Transition to hover and await icing recovery"", ""Descend to 80m AGL and reroute around NFZ"", ""Accelerate through grid at 150m AGL to save time""]","Descending to 80m AGL maintains safe clearance from max 150m AGL limit and avoids icing-prone altitudes while reducing wind load. Rerouting around the dynamic NFZ ensures real-time separation and preserves battery for runway transition. Other options either violate altitude, increase exposure to hazards, or waste time and energy." 2025-11-01T18:05:49Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_search_vtol_volcanic_hot_0c07c4c2f3db_mcq.json,uavbench-mcq-v1,forest_search_vtol_volcanic_hot,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 120 m AGL, GNSS jamming at -80 dBm and 220–250° wind shift occur. Which action ensures resilient navigation and control?","This is a search and rescue mission in a volcanic zone with challenging environmental conditions. The UAV operates within a defined polygonal airspace bounded from 5 to 180 meters AGL. Strong winds increase with altitude, shifting from 8 m/s at ground level to 15 m/s at 200 meters, with gusts up to 4.5 m/s and a 220–250° wind direction shift. A VTOL tiltrotor UAV equipped with RGB and thermal cameras, LiDAR, and full avionics is used for payload delivery and imaging. GNSS signals suffer from multipath effects and moderate jamming at -80 dBm, compounded by electromagnetic interference. The mission includes a static no-fly zone near the center and a moving no-fly cylinder drifting northwest, requiring dynamic avoidance. Thermal updrafts near coordinates (800, 600) create localized turbulence that may affect flight stability. The UAV must follow a corridor search pattern across five waypoints and land on a designated runway aligned at 270°. Uplink and downlink experience brief communication losses, and the aircraft must maintain separation from a moving obstacle and another UAV. Battery endurance and sensor reliability are critical due to high energy consumption in windy conditions and degraded navigation performance.",Switch to INS/LiDAR fused navigation with authenticated uplink commands,Rely solely on GNSS with unencrypted emergency override commands,Descend to 10 m AGL to reduce wind impact and ignore sensor fusion,Increase reliance on thermal camera for positional drift correction,Transmit unauthenticated telemetry updates every 5 seconds,Disable intrusion detection to reduce avionics processing load,Use open-loop actuator commands to maintain heading stability,"[""Switch to INS/LiDAR fused navigation with authenticated uplink commands"", ""Rely solely on GNSS with unencrypted emergency override commands"", ""Descend to 10 m AGL to reduce wind impact and ignore sensor fusion"", ""Increase reliance on thermal camera for positional drift correction"", ""Transmit unauthenticated telemetry updates every 5 seconds"", ""Disable intrusion detection to reduce avionics processing load"", ""Use open-loop actuator commands to maintain heading stability""]",INS/LiDAR fusion mitigates GNSS jamming and spoofing risks while maintaining position integrity. Authenticated uplink commands prevent adversarial control injection during communication vulnerabilities. This preserves control stability and mission continuity under cyber-physical stress. 2025-11-01T18:05:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_search_urban_thermal_8db2adb45520_mcq.json,uavbench-mcq-v1,forest_search_urban_thermal,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 35 m AGL with 15 m/s south wind and thermal updrafts, what minimizes power while maintaining control in gusts?","This is a search and rescue mission using a quadrotor UAV equipped with thermal and RGB cameras, LIDAR, and standard navigation sensors. The operation takes place in a dense urban environment with good visibility but moderate wind from the south and gusty conditions. Thermal updrafts are present at two locations, which can affect UAV stability and energy use. The UAV must navigate within a defined geofenced area between 10 and 120 meters AGL, avoiding a static no-fly zone near the center and a moving no-fly zone drifting northwest. GNSS signals are degraded due to multipath effects and moderate electromagnetic interference, requiring careful reliance on sensor fusion. A single traffic UAV is flying westbound at 40 m altitude, and a moving spherical obstacle travels leftward at 30 m height, both requiring collision avoidance. The mission follows a corridor search pattern with five waypoints, lasting up to 600 seconds, and requires returning to a preferred landing site unless an emergency arises. Communication experiences a brief downlink loss between 120 and 135 seconds, with minimum RSSI at -85 dBm. The UAV must maintain separation from obstacles and NFZs while managing battery reserves, with performance evaluated on mission success, safety margins, and sensor/data integrity.",Increase rotor speed to counter downdrafts,Reduce airspeed to minimize drag forces,Bank sharply to avoid moving obstacle at 30 m,Descend rapidly to reduce density altitude effects,Pitch forward to increase angle of attack,Hover with zero groundspeed to stabilize sensors,Fly upwind at reduced throttle to leverage ground effect,"[""Increase rotor speed to counter downdrafts"", ""Reduce airspeed to minimize drag forces"", ""Bank sharply to avoid moving obstacle at 30 m"", ""Descend rapidly to reduce density altitude effects"", ""Pitch forward to increase angle of attack"", ""Hover with zero groundspeed to stabilize sensors"", ""Fly upwind at reduced throttle to leverage ground effect""]","Flying upwind at reduced throttle leverages ground effect, reducing induced drag and rotor power demand. It maintains controllability in gusts by using relative airflow stability near the surface while conserving battery, critical for mission endurance and safety in thermals." 2025-11-01T18:05:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_runway_touch_and_go_crosswind_c0ad1402fe71_mcq.json,uavbench-mcq-v1,glider_runway_touch_and_go_crosswind,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"A glider UAV must perform a touch-and-go at 90° heading under crosswinds, avoiding a central NFZ and maintaining 25 m separation from a moving obstacle.","This scenario involves a glider UAV performing a runway touch-and-go mission within an airport perimeter airspace. The glider, equipped with a camera payload and standard navigation sensors, must operate under strong crosswind conditions from the west, with wind speeds increasing with altitude. The mission is constrained by a no-fly zone near the center of the airspace and requires precise navigation to avoid both static and moving obstacles. A second UAV and a moving spherical obstacle create dynamic traffic challenges, requiring strict separation to avoid collision. The glider must adhere to detect-and-avoid thresholds with a minimum separation of 25 meters and time-to-closest approach of 15 seconds. Communication links experience brief dropouts during the mission, adding risk to command and telemetry transmission. The flight begins from a mid-air spawn point and follows a custom approach pattern aligned with the runway heading of 90 degrees. Battery endurance is limited, with a reserve fraction of 30% factored into energy management. GNSS signal multipath is not explicitly modeled, but crosswind effects and energy-aware flight control are critical for mission success.","Fly direct to runway, descend early to minimize drift",Delay descent until past NFZ to preserve energy,Follow curved approach east of NFZ to account for crosswind,Cut through NFZ center for shortest path to runway,Circle south to wait for moving obstacle to clear path,Climb to higher altitude band to reduce wind effects,Adjust heading to 100° and approach from west of NFZ,"[""Fly direct to runway, descend early to minimize drift"", ""Delay descent until past NFZ to preserve energy"", ""Follow curved approach east of NFZ to account for crosswind"", ""Cut through NFZ center for shortest path to runway"", ""Circle south to wait for moving obstacle to clear path"", ""Climb to higher altitude band to reduce wind effects"", ""Adjust heading to 100° and approach from west of NFZ""]","The curved path east of the NFZ compensates for increasing crosswind while maintaining safe lateral separation. It avoids the no-fly zone and aligns with the 90° runway heading without excessive energy use. Other options either breach the NFZ, increase flight time, or fail to account for drift-induced navigation errors." 2025-11-01T18:05:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_runway_incursion_daa_scenario_cd09a02d30ad_mcq.json,uavbench-mcq-v1,glider_runway_incursion_daa_scenario,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Given 6 m/s west wind, thermal updrafts, and 25m separation rule, which strategy maximizes endurance while completing the inspection?","This is an inspection mission using a battery-powered glider UAV equipped with RGB camera payload in a suburban airspace. The flight occurs within a defined 500m x 400m geofenced area, with altitude restricted between 30m and 120m AGL. Weather includes a 6 m/s west wind with gusts up to 3 m/s and the presence of thermal updrafts near two locations. The UAV must avoid a static no-fly zone centered at (250, 100) and a moving no-fly zone drifting west at 1.5 m/s. A runway is present from (50, 200, 30) with 400m length and 90° heading, required for landing. The mission involves five waypoints in a corridor pattern, starting near (100, 100, 60) and ending at the preferred landing site near the runway threshold. GNSS multipath effects are present, potentially affecting navigation accuracy near structures. There is one intruder UAV flying east to west at 12 m/s and a moving spherical obstacle drifting left at 2 m/s. The detect-and-avoid system enforces a 25m separation threshold and 15s time-to-closest-approach threshold for collision avoidance.",Fly fastest speed to minimize exposure to gusts and finish early,Circle continuously in thermal updrafts to gain altitude without power,Descend early to 30m AGL to reduce wind resistance and save energy,Increase camera resolution to highest setting for better inspection quality,Fly direct path through moving obstacle's predicted zone to save time,Maintain steady 15 m/s speed regardless of wind to ensure schedule,"Use thermals for lift, adjust track to avoid conflicts, and optimize airspeed","[""Fly fastest speed to minimize exposure to gusts and finish early"", ""Circle continuously in thermal updrafts to gain altitude without power"", ""Descend early to 30m AGL to reduce wind resistance and save energy"", ""Increase camera resolution to highest setting for better inspection quality"", ""Fly direct path through moving obstacle's predicted zone to save time"", ""Maintain steady 15 m/s speed regardless of wind to ensure schedule"", ""Use thermals for lift, adjust track to avoid conflicts, and optimize airspeed""]","Exploiting thermal updrafts reduces power use for lift, while adaptive routing avoids energy-intensive maneuvers. Adjusting airspeed relative to wind optimizes glide efficiency and ensures 25m separation without compromising mission completion. This balances energy, safety, and inspection objectives under battery and dynamic obstacle constraints." 2025-11-01T18:05:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_satellite_relay_warehouse_hail_696a5f215f08_mcq.json,uavbench-mcq-v1,glider_satellite_relay_warehouse_hail,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"Which path safely navigates the glider between waypoints, avoids the (25,20) NFZ with 5m clearance, and adapts to the moving obstacle near y=10 within 600s?","This mission involves a glider UAV performing a satellite link relay operation inside a warehouse. The indoor airspace is confined to 15 meters maximum altitude with a defined polygonal boundary and a cylindrical no-fly zone centered at (25,20). Weather includes 5 m/s winds from the west, gusts up to 3 m/s, poor visibility, and hail, which impacts flight stability and sensor performance. The UAV carries an RGB camera payload for visual monitoring and relies on GNSS, IMU, magnetometer, and barometer for navigation. A moving spherical obstacle travels horizontally at 2 m/s near y=10, requiring real-time avoidance. The UAV must complete a corridor pattern between four waypoints within 600 seconds while maintaining communication relay functionality. Critical constraints include avoiding the no-fly zone, maintaining at least 5 meters separation from obstacles, and managing battery reserves with 30% set aside. GNSS multipath effects are likely due to indoor operation, and an icing event at 120 seconds will degrade aerodynamics temporarily. Uplink communication is lost during two time windows, requiring autonomous operation, and the UAV must land at a preferred site unless an emergency arises. Battery capacity is 300 Wh, with energy consumption influenced by drag and maneuvering, especially during wind and gust conditions.","Fly direct legs at 14m AGL, adjust heading for wind drift eastbound","Descend to 10m AGL, circle around NFZ center at 24,20","Cut diagonally across NFZ boundary at 23,19 to save time","Follow corridor west-to-east, deviate 8m north when obstacle detected",Delay departure until 130s to avoid icing-induced drag peak,Rely on GNSS alone for turns; ignore IMU during uplink blackout,Land immediately after waypoint 3 due to hail visibility drop,"[""Fly direct legs at 14m AGL, adjust heading for wind drift eastbound"", ""Descend to 10m AGL, circle around NFZ center at 24,20"", ""Cut diagonally across NFZ boundary at 23,19 to save time"", ""Follow corridor west-to-east, deviate 8m north when obstacle detected"", ""Delay departure until 130s to avoid icing-induced drag peak"", ""Rely on GNSS alone for turns; ignore IMU during uplink blackout"", ""Land immediately after waypoint 3 due to hail visibility drop""]","Path D maintains safe lateral separation from the moving obstacle by deviating north while preserving altitude and corridor alignment. It respects NFZ boundaries and completes the mission within 600s using sensor fusion during GNSS outages. Other options breach the NFZ, waste time, or violate operational constraints like battery or communication needs." 2025-11-01T18:05:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_ship_deck_delivery_1984c80703cd_mcq.json,uavbench-mcq-v1,glider_ship_deck_delivery,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Glider UAV must deliver 0.5 kg payload within 600 s, using thermals near (120, 80) while avoiding winds and dynamic no-fly zones.","This mission involves a delivery using a fixed-wing glider UAV in a powerline corridor airspace. The glider, equipped with an RGB camera and standard navigation sensors, carries a 0.5 kg payload and relies solely on battery power. It operates within an altitude range of 10 to 120 meters AGL, navigating through variable winds increasing with altitude and facing moderate gusts from the southwest. Thermal updrafts are present, particularly near a plume at (120, 80), which can aid lift but require precise control. The environment includes GNSS multipath effects, electromagnetic interference, and brief communication loss windows, challenging navigation reliability. A static no-fly zone and a moving obstacle—both cylindrical—must be avoided, along with a dynamically shifting no-fly cylinder. Air traffic includes another UAV approaching from outside the corridor, requiring separation maintenance of at least 25 meters. The mission must be completed within 600 seconds, following a predefined waypoint path toward a preferred landing site on what resembles a ship deck. Constraints include battery reserve limits, wind shear, sensor degradation risks, and strict geofencing within the corridor polygon.",Climb continuously to 120 m for stronger winds,Fly direct at 10 m AGL to minimize distance,"Circle in thermal at (120, 80) to extend endurance",Descend early to save battery for final approach,Increase camera frame rate during gusts,Reroute outside corridor to avoid moving obstacle,"Use thermal lift near (120, 80) and glide efficiently toward landing","[""Climb continuously to 120 m for stronger winds"", ""Fly direct at 10 m AGL to minimize distance"", ""Circle in thermal at (120, 80) to extend endurance"", ""Descend early to save battery for final approach"", ""Increase camera frame rate during gusts"", ""Reroute outside corridor to avoid moving obstacle"", ""Use thermal lift near (120, 80) and glide efficiently toward landing""]","Utilizing the thermal at (120, 80) provides free lift, conserving battery for critical phases. It balances altitude gain and energy efficiency while staying within the corridor. Other options either waste energy, violate geofencing, or increase risk during communication loss." 2025-11-01T18:05:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_thermal_soaring_warehouse_indoor_sandstorm_9283937d0cca_mcq.json,uavbench-mcq-v1,glider_thermal_soaring_warehouse_indoor_sandstorm,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,How should the UAV adjust its path near the thermal updraft at 25 meters with a moving obstacle and 5-meter separation required?,"Fixed-wing UAV conducts an indoor warehouse survey mission using thermal soaring to extend flight time. The mission takes place in a confined polygonal airspace with a maximum altitude of 25 meters AGL. Strong wind shear and sandstorm conditions reduce visibility and affect flight dynamics. A thermal updraft near the center provides lift, aiding energy-efficient gliding. The UAV is equipped with GNSS, IMU, camera, and basic avionics but lacks lidar and thermal imaging. A cylindrical no-fly zone blocks access to the central area, requiring careful path planning. GNSS multipath, jamming, and electromagnetic interference challenge navigation reliability. A moving spherical obstacle travels westward at low altitude, requiring real-time avoidance. Another UAV flies in the area, demanding collision avoidance with a 5-meter separation threshold. Downlink communication is unreliable with two major loss windows during the mission.",Climb to 30 meters using thermal lift for better visibility,Circle the updraft at 20 meters to avoid wind shear,Descend to 10 meters to evade the spherical obstacle,Fly directly through the cylindrical no-fly zone center,Coordinate with other UAV to alternate thermal usage,Hover at 25 meters to maximize camera coverage,Exit airspace immediately due to GNSS loss,"[""Climb to 30 meters using thermal lift for better visibility"", ""Circle the updraft at 20 meters to avoid wind shear"", ""Descend to 10 meters to evade the spherical obstacle"", ""Fly directly through the cylindrical no-fly zone center"", ""Coordinate with other UAV to alternate thermal usage"", ""Hover at 25 meters to maximize camera coverage"", ""Exit airspace immediately due to GNSS loss""]",Coordinated thermal sharing ensures energy efficiency and maintains 5-meter separation. It synchronizes path planning during communication windows and avoids simultaneous occupancy of constrained airspace. This preserves situational awareness and deconflicts trajectories near the central updraft. 2025-11-01T18:05:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_thermal_soaring_mountain_swarm_35046efe2ce7_mcq.json,uavbench-mcq-v1,glider_thermal_soaring_mountain_swarm,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"After an icing fault on UAV3, which action maintains swarm efficiency with 25 m separation and 30% battery reserve?","Swarm of four fixed-wing UAVs conducts a mountainous survey mission using thermal updrafts for energy efficiency. Operating in poor visibility with icing conditions and strong variable winds up to 12 m/s at higher altitudes. UAVs are equipped with GNSS, IMU, barometer, lidar, RGB and thermal cameras, but face GNSS multipath and interference. Mission constrained by static and dynamic no-fly zones, including a moving obstacle and a central restricted cylinder. Flight altitude limited between 50 m and 450 m AGL within a defined polygonal geofence. Swarm uses leader-scout-relay roles with minimum 25 m separation and collision avoidance thresholds. Wind shear and thermal plumes at two locations are leveraged for gliding and soaring efficiency. External threats include a crossing UAV and communication loss windows affecting uplink/downlink. Battery endurance is critical, with reserve margin set at 30% and energy affected by drag and icing. An icing fault event occurs mid-mission, reducing aerodynamic performance for one minute.",UAV3 descends immediately to 50 m AGL alone,UAV1 and UAV4 adjust formation to cover UAV3's sector,All UAVs abort mission and return to base,UAV2 increases speed to scout ahead for thermals,UAV3 requests direct GNSS relay via UAV1,Swarm ascends collectively to 450 m for stronger updrafts,UAV4 assumes leader role and changes geofence,"[""UAV3 descends immediately to 50 m AGL alone"", ""UAV1 and UAV4 adjust formation to cover UAV3's sector"", ""All UAVs abort mission and return to base"", ""UAV2 increases speed to scout ahead for thermals"", ""UAV3 requests direct GNSS relay via UAV1"", ""Swarm ascends collectively to 450 m for stronger updrafts"", ""UAV4 assumes leader role and changes geofence""]",UAV1 and UAV4 compensating for UAV3's reduced performance maintains coverage and respects 25 m separation. It preserves energy efficiency by leveraging existing roles without triggering unnecessary maneuvers. This decentralized load redistribution sustains mission continuity while honoring battery and spacing constraints. 2025-11-01T18:05:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_warehouse_inspection_snowfall_69df5f3a9c60_mcq.json,uavbench-mcq-v1,glider_warehouse_inspection_snowfall,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 120s, icing reduces lift for 60s near (8.0,12.0) with wind from west increasing with altitude; how to maintain flight path?","This UAV mission involves a glider conducting an inspection in an underground mine environment. The airspace is confined with a maximum altitude of 15 meters AGL and a polygonal geofence defining the operational zone. A cylindrical no-fly zone is centered at (10.0, 7.5) with a 2.0-meter radius, requiring careful navigation. The glider is equipped with RGB camera and LIDAR payload, relying on battery power with a 320 Wh capacity and 30% reserve. Adverse weather includes snowfall, poor visibility, and wind from the west increasing with altitude, along with thermal updrafts near (8.0, 12.0). GNSS signals are degraded due to multipath effects and electromagnetic interference, challenging navigation accuracy. The mission follows a corridor pattern inspection with four waypoints and requires runway-assisted takeoff and landing, despite limited runway length. A moving spherical obstacle drifts upward along the Y-axis at 1 m/s near a waypoint. Communication suffers from periodic uplink loss, requiring robust autonomous operation. An icing event occurs at 120 seconds, reducing aerodynamic efficiency for one minute, compounding environmental risks.",Increase thrust and pitch up immediately to counteract lift loss,Rely solely on GNSS for position correction during icing event,"Switch to IMU-LIDAR fusion, reduce airspeed, and descend slightly",Hold current attitude and await visual confirmation from RGB,Engage maximum battery output to maintain altitude and speed,Disable LIDAR to reduce power load and prioritize camera data,Trust pre-planned corridor path despite sensor degradation,"[""Increase thrust and pitch up immediately to counteract lift loss"", ""Rely solely on GNSS for position correction during icing event"", ""Switch to IMU-LIDAR fusion, reduce airspeed, and descend slightly"", ""Hold current attitude and await visual confirmation from RGB"", ""Engage maximum battery output to maintain altitude and speed"", ""Disable LIDAR to reduce power load and prioritize camera data"", ""Trust pre-planned corridor path despite sensor degradation""]",IMU-LIDAR fusion compensates for GNSS multipath and electromagnetic interference. LIDAR maintains precision in confined space despite snowfall reducing visibility. Descending slightly reduces wind shear impact and conserves energy amid reduced aerodynamic efficiency. 2025-11-01T18:05:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_firefighting_drop_icing_rural_c273aa4d6d06_mcq.json,uavbench-mcq-v1,glider_firefighting_drop_icing_rural,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,A glider UAV must drop a 2 kg payload while avoiding a drifting no-fly zone and a moving spherical obstacle with 25 m separation in 16 m/s winds.,"This scenario involves a glider UAV performing a firefighting drop mission in rural airspace. The UAV is equipped with a 2 kg payload and carries both RGB and thermal cameras for fire detection and monitoring. It operates under challenging weather conditions, including icing and strong winds up to 16 m/s at higher altitudes. The airspace includes a static no-fly zone and a moving no-fly zone that drifts southwest, requiring dynamic path planning. A second UAV and a moving spherical obstacle introduce traffic and collision risks. The glider must maintain separation of at least 25 meters and adhere to a 400 m AGL ceiling, with a minimum safe altitude of 10 m. An icing fault occurs mid-mission, reducing aerodynamic performance for 60 seconds. GNSS is reliable with no multipath or jamming issues, but brief communication loss windows are present. The mission requires a runway approach for landing and includes thermal updrafts that the glider can exploit. Success depends on timely waypoint navigation, obstacle avoidance, and safe energy management throughout the flight.","Fly direct to target, ignoring wind drift to minimize time",Descend to 10 m AGL early to avoid icing above 400 m,"Reroute west to bypass obstacle, maintaining 25 m separation",Climb to 410 m AGL to gain energy from thermal updrafts,"Delay drop until NFZ passes, losing 90 seconds on schedule","Cut through NFZ edge, reducing flight distance by 1.8 km","Turn east into wind for faster glide, accepting 20 m separation","[""Fly direct to target, ignoring wind drift to minimize time"", ""Descend to 10 m AGL early to avoid icing above 400 m"", ""Reroute west to bypass obstacle, maintaining 25 m separation"", ""Climb to 410 m AGL to gain energy from thermal updrafts"", ""Delay drop until NFZ passes, losing 90 seconds on schedule"", ""Cut through NFZ edge, reducing flight distance by 1.8 km"", ""Turn east into wind for faster glide, accepting 20 m separation""]","Option C maintains the required 25 m separation and avoids both static and moving no-fly zones while adapting to wind. It balances energy use and safety by leveraging thermal updrafts without violating altitude or proximity constraints. Other options breach separation, altitude limits, or NFZ rules, increasing risk or mission failure." 2025-11-01T18:05:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/forest_search_quadrotor_bridge_site_d98943b42273_mcq.json,uavbench-mcq-v1,forest_search_quadrotor_bridge_site,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"At 35m AGL near the bridge, GNSS degrades due to multipath while wind gusts reach 3 m/s. Which action maintains position accuracy and search efficiency?","A quadrotor UAV conducts a search and rescue mission near a forested bridge site. The operational airspace is bounded by a 200m x 150m geofenced area with a minimum altitude of 10m AGL and a ceiling of 120m. A static no-fly zone blocks the central area around the bridge, while a smaller dynamic no-fly zone moves slowly through the southeast quadrant. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, optimized for visual search in good visibility. Winds blow from the south at 6 m/s with occasional 3 m/s gusts, affecting hover stability and energy use. The flight plan follows a grid pattern at varying altitudes between 30–40m to cover the search area efficiently within a 10-minute time limit. A single intruder UAV enters from the northeast, requiring separation maintenance of at least 25m. A moving spherical obstacle drifts westward below the flight path, posing a collision risk. Battery capacity is limited, with reserve power set at 30%, and energy consumption modeled with drag and maneuvering penalties. GNSS signals may experience multipath near the bridge structure, and mission success depends on avoiding NFZs, maintaining comms, and completing the search without collisions.",Increase grid spacing to save battery,Descend to 20m for stronger GNSS signal,Rely solely on thermal to detect survivors,Switch to IMU-LiDAR-visual fusion mode,Climb to 110m to avoid moving obstacle,Hover until intruder UAV passes by,Use RGB camera for absolute positioning,"[""Increase grid spacing to save battery"", ""Descend to 20m for stronger GNSS signal"", ""Rely solely on thermal to detect survivors"", ""Switch to IMU-LiDAR-visual fusion mode"", ""Climb to 110m to avoid moving obstacle"", ""Hover until intruder UAV passes by"", ""Use RGB camera for absolute positioning""]","GNSS multipath near the bridge degrades positional accuracy, requiring sensor fusion resilience. IMU-LiDAR-visual fusion provides drift-resistant localization by aligning inertial data with environmental features, compensating for GNSS outages and wind-induced perturbations. This maintains navigation integrity and search continuity without increasing collision risk." 2025-11-01T18:05:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/gps_spoof_or_jam_heavy_lift_urban_fog_0327fe0ea729_mcq.json,uavbench-mcq-v1,gps_spoof_or_jam_heavy_lift_urban_fog,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,Which system ensures navigation during GNSS jamming at 200 seconds with 6.5 m/s winds and dynamic obstacles?,"Heavy-lift UAV conducts an urban delivery mission in dense city airspace with fog and poor visibility. The UAV operates within a defined corridor between 10 and 120 meters AGL, avoiding static and moving no-fly zones. Mission includes multiple waypoints forming a rectangular pattern with a time budget of 10 minutes. The UAV is equipped with GNSS, IMU, lidar, radar, and RGB camera, supporting navigation despite GNSS signal jamming and electromagnetic interference. A GNSS jamming fault is triggered at 200 seconds, lasting one minute with high severity, challenging positioning reliability. Wind blows at 6.5 m/s from 240 degrees with gusts up to 3.2 m/s, affecting stability during flight. A dynamic no-fly zone moves through the airspace, requiring real-time path adjustments. The UAV must maintain separation of at least 25 meters from other air traffic, monitored via DAA systems. Communication experiences two brief downlink loss windows, testing data resilience. Battery capacity and energy use are critical constraints, with a 30% reserve required for safe return and emergency landing.",GNSS-only navigation with IMU dead reckoning,Lidar-only SLAM in foggy urban corridors,Radar and IMU fusion with obstacle avoidance,GPS-aided path planning without sensor fusion,Camera-based visual odometry in low visibility,Pre-mapped route ignoring dynamic no-fly zones,Hybrid lidar-radar fusion with DAA integration,"[""GNSS-only navigation with IMU dead reckoning"", ""Lidar-only SLAM in foggy urban corridors"", ""Radar and IMU fusion with obstacle avoidance"", ""GPS-aided path planning without sensor fusion"", ""Camera-based visual odometry in low visibility"", ""Pre-mapped route ignoring dynamic no-fly zones"", ""Hybrid lidar-radar fusion with DAA integration""]","Hybrid lidar-radar fusion maintains accuracy during GNSS outage and in fog, while DAA integration ensures 25-meter separation. It balances environmental adaptability, obstacle detection, and resilience to wind-induced drift. Other systems fail in visibility, dynamic updates, or redundancy." 2025-11-01T18:05:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/gps_spoof_or_jam_jungle_crosswind_fixed_wing_db7befc12f02_mcq.json,uavbench-mcq-v1,gps_spoof_or_jam_jungle_crosswind_fixed_wing,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"During GNSS jamming at 180–240s, strong 8.5 m/s crosswind from 240°, and moving obstacles, what action ensures safe runway-aligned landing with 30% battery reserve?","Fixed-wing UAV conducts a corridor survey mission in a jungle environment. The airspace includes a cylindrical no-fly zone and a defined runway aligned at 240 degrees. Wind conditions feature a strong crosswind of 8.5 m/s from 240 degrees at ground level, increasing with altitude. GNSS jamming occurs between 180 and 240 seconds into the flight, with a jamming signal at -75 dBm. The UAV is equipped with RGB camera payload and relies on GNSS, IMU, magnetometer, and barometer for navigation. A moving spherical obstacle travels westward at 5 m/s through the operational area. Another UAV enters the airspace from the east at 20 m/s, requiring separation monitoring. Radio link experiences a downlink loss window during the jamming event, affecting communication quality. The mission requires runway-aligned takeoff and landing, with battery reserves set at 30%. Challenging factors include wind shear, GNSS interference, poor visibility, and lightning risk.",Climb to 120m AGL to avoid obstacles,Descend immediately to treetop level,Hold altitude and delay landing by 5min,Divert westward around no-fly zone,Execute crosswind leg at 60m AGL,Descend then divert to runway heading,Accelerate east to exit jamming zone,"[""Climb to 120m AGL to avoid obstacles"", ""Descend immediately to treetop level"", ""Hold altitude and delay landing by 5min"", ""Divert westward around no-fly zone"", ""Execute crosswind leg at 60m AGL"", ""Descend then divert to runway heading"", ""Accelerate east to exit jamming zone""]","GNSS jamming and crosswind demand conservative descent and realignment using runway heading. Option F balances obstacle avoidance, wind alignment, and battery reserve. Other options violate separation, increase multipath risk, or ignore runway alignment." 2025-11-01T18:05:50Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_powerline_inspection_volcanic_rain_be2aafb66e88_mcq.json,uavbench-mcq-v1,glider_powerline_inspection_volcanic_rain,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,Which system ensures navigation continuity during GNSS jamming at 250m AGL with 0.8 kg payload and active thermal updrafts?,"This is a glider UAV conducting a powerline inspection mission in a volcanic zone with poor visibility due to rain and active thermal updrafts. The flight occurs within a defined polygonal airspace bounded between 10 and 250 meters AGL, featuring a static no-fly cylinder and a moving restricted zone. The UAV is equipped with RGB and thermal cameras, LiDAR, and full sensor suite, carrying an 0.8 kg inspection payload. Strong and increasing winds are present, shifting direction with altitude, and two thermal plumes offer potential lift. GNSS signals suffer from multipath interference and moderate jamming, with a simulated GNSS jamming fault occurring mid-mission. A second UAV and a moving spherical obstacle introduce dynamic collision risks, requiring strict separation monitoring. The mission requires adherence to a 600-second time budget while navigating a corridor inspection pattern through challenging terrain and weather. Communication downlink is lost during the jamming window, limiting telemetry transmission. Emergency landing sites are available at opposite corners of the airspace, supporting contingency planning.",Pure GNSS-guided autopilot with no backup,Vision-aided INS using optical flow and terrain matching,"LiDAR-only SLAM in rainy, low-visibility conditions",GPS-dependent path planner with RF telemetry downlink,Thermal plume tracker without IMU integration,Magnetometer-based heading with no attitude correction,Barometric altitude hold ignoring vertical wind shear,"[""Pure GNSS-guided autopilot with no backup"", ""Vision-aided INS using optical flow and terrain matching"", ""LiDAR-only SLAM in rainy, low-visibility conditions"", ""GPS-dependent path planner with RF telemetry downlink"", ""Thermal plume tracker without IMU integration"", ""Magnetometer-based heading with no attitude correction"", ""Barometric altitude hold ignoring vertical wind shear""]","Vision-aided INS fuses inertial data with camera and terrain inputs, enabling GNSS-denied navigation resilience. It leverages available RGB and LiDAR data, operates within sensor payload limits, and adapts to dynamic updrafts. Other options fail due to reliance on compromised signals, environmental interference, or incomplete state estimation." 2025-11-01T18:05:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_thermal_soaring_dense_urban_low_visibility_e7f786af703b_mcq.json,uavbench-mcq-v1,glider_thermal_soaring_dense_urban_low_visibility,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 120s, comms drop while UAV must avoid dynamic NFZ and spherical obstacle within 30m separation from another UAV.","Fixed-wing UAV conducts a low-altitude survey mission in dense urban airspace with poor visibility and icing conditions. The aircraft operates between 20 and 180 meters AGL within a defined polygonal geofence, avoiding static and moving no-fly zones. Strong, gusty winds increase with altitude and shift in direction, creating challenging flight dynamics and thermal updrafts. The UAV is equipped with GNSS, IMU, lidar, RGB and thermal cameras, but faces GNSS multipath, jamming, and electromagnetic interference. A key mission constraint is maintaining separation from a dynamic no-fly zone and a moving spherical obstacle. The flight must also avoid a central cylindrical NFZ and comply with runway approach paths for potential emergency landings. Traffic includes another UAV moving across the operational area, requiring adherence to DAA separation thresholds. Mid-mission, an icing event reduces performance for one minute, increasing stall risk and energy consumption. Communication dropouts occur briefly at 120 and 450 seconds, limiting uplink/downlink reliability. The mission prioritizes completing a corridor survey pattern within time and battery limits while managing environmental and system constraints.",Ascend to 180m for clearer GNSS and wind stability,Hold position at 50m AGL until comms restore,Descend to 20m AGL and continue survey pattern,Broadcast intent via mesh relay to other UAV,Hand off corridor segment to adjacent UAV agent,Accelerate through obstacle zone to save energy,Enter holding pattern at edge of geofence,"[""Ascend to 180m for clearer GNSS and wind stability"", ""Hold position at 50m AGL until comms restore"", ""Descend to 20m AGL and continue survey pattern"", ""Broadcast intent via mesh relay to other UAV"", ""Hand off corridor segment to adjacent UAV agent"", ""Accelerate through obstacle zone to save energy"", ""Enter holding pattern at edge of geofence""]",Handing off the corridor segment maintains mission progress despite communication dropout and preserves DAA separation. It leverages decentralized task allocation to balance workload and ensures continuous coverage without overloading the impaired UAV during icing and GNSS degradation. 2025-11-01T18:05:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/gps_spoofing_octocopter_suburban_low_visibility_ef63cc00d93f_mcq.json,uavbench-mcq-v1,gps_spoofing_octocopter_suburban_low_visibility,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"At 110 m AGL with 8 m/s winds and GNSS faults, which action balances energy, safety, and mission time?","This scenario involves an inspection mission using an octocopter UAV in a suburban airspace. The UAV is equipped with a visual camera and relies on GNSS, IMU, magnetometer, and barometer for navigation. Weather conditions include poor visibility due to haze and a low cloud ceiling, with winds at 8 m/s from 240 degrees and gusts up to 4.5 m/s. The flight operates between 10 and 120 meters AGL within a defined geofenced polygon. A static no-fly zone is centered at (250, 250) with a 50-meter radius, and a dynamic no-fly zone moves near (400, 100). The UAV must avoid a moving spherical obstacle and maintain separation from another UAV on a fixed trajectory. GNSS spoofing and jamming faults are introduced, creating navigation challenges and potential multipath-like interference. Communication downlink is unreliable, with two significant loss windows during the mission. The UAV starts with a full battery and must complete its corridor-pattern waypoint mission within 600 seconds while managing energy and fault conditions.",Climb to 120 m for clearer GNSS signals,Descend to 10 m to reduce wind exposure,Maintain current altitude and standard speed,Reduce speed by 30% to stabilize navigation,Head directly to home for signal recovery,Circle at 60 m to recalibrate sensors,Follow corridor pattern at reduced altitude,"[""Climb to 120 m for clearer GNSS signals"", ""Descend to 10 m to reduce wind exposure"", ""Maintain current altitude and standard speed"", ""Reduce speed by 30% to stabilize navigation"", ""Head directly to home for signal recovery"", ""Circle at 60 m to recalibrate sensors"", ""Follow corridor pattern at reduced altitude""]","Reducing speed improves control stability under GNSS faults and high wind, conserving energy while maintaining mission progress. It balances aerodynamic efficiency, navigation reliability, and obstacle avoidance within the geofence and communication gaps." 2025-11-01T18:05:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_volcanic_thermal_survey_bac02ccf5be7_mcq.json,uavbench-mcq-v1,glider_volcanic_thermal_survey,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"At 550 m AGL near (800,600), with 6 m/s wind from 240°, what airspeed balances thermal lift use and GNSS degradation?","This is a fixed-wing glider UAV conducting a thermal survey mission in a volcanic zone. The airspace is constrained by a polygonal geofence with minimum and maximum altitudes of 50 and 600 meters AGL. Two static thermal updraft plumes provide lift, located near coordinates (800,600) and (1200,900). The UAV is equipped with RGB and thermal cameras for data collection and relies on battery power with a 30% reserve requirement. Weather includes a 6 m/s wind from 240 degrees, gusts up to 3.5 m/s, and good visibility. GNSS signals are degraded due to multipath effects and moderate jamming at -85 dBm, with electromagnetic interference present. A static no-fly zone and a moving cylindrical no-fly zone must be avoided during flight. The mission involves following a corridor survey pattern through five waypoints within a 600-second time budget. A second UAV is present in the airspace, flying on a collision course, requiring separation monitoring. Communication experiences two brief downlink loss windows, and the UAV must return to a designated runway for landing.",Increase speed to 18 m/s to outrun GNSS dropouts,Fly at minimum sink speed for maximum endurance,Reduce angle of attack to decrease induced drag,Circle at 12 m/s with 45° bank to center thermal,Descend to 100 m AGL to avoid wind gusts,Pitch up to 15° to capture stronger updrafts,Accelerate to 20 m/s to minimize crosswind drift,"[""Increase speed to 18 m/s to outrun GNSS dropouts"", ""Fly at minimum sink speed for maximum endurance"", ""Reduce angle of attack to decrease induced drag"", ""Circle at 12 m/s with 45° bank to center thermal"", ""Descend to 100 m AGL to avoid wind gusts"", ""Pitch up to 15° to capture stronger updrafts"", ""Accelerate to 20 m/s to minimize crosswind drift""]","Circling at 12 m/s with a 45° bank optimizes turn radius and lift coefficient to remain within the thermal core while minimizing descent rate. This balances centripetal force requirements with available lift, maintaining energy in updrafts despite GNSS degradation. Other options either exceed structural load limits, increase drag, or reduce climb efficiency." 2025-11-01T18:05:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_vtol_transition_offshore_ba1223217654_mcq.json,uavbench-mcq-v1,glider_vtol_transition_offshore,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,G,False,"Given GNSS degradation and intermittent downlink, which protocol secures command integrity without exceeding 600-second mission time?","This UAV mission involves a fixed-wing glider conducting an offshore platform inspection in controlled airspace. The glider operates within a defined polygonal geofence, avoiding static and moving no-fly zones near critical infrastructure. It is equipped with a battery-powered propulsion system and carries an RGB camera payload for visual inspection tasks. The environment features strong winds increasing with altitude, wind shear, and a risk of microbursts, requiring careful flight management. GNSS signals are degraded due to multipath effects and electromagnetic interference, challenging navigation accuracy. The glider must maintain separation from a nearby UAV and a moving obstacle while navigating through thermals that can assist lift. Communication experiences intermittent downlink losses, demanding robust data handling. Flight altitude is constrained between 10 and 150 meters AGL, with strict avoidance of NFZs and geofence boundaries. The mission follows a corridor pattern with four waypoints and requires successful completion within a 600-second time budget. Battery reserve is set to 30%, and energy-efficient flight is critical due to aerodynamic and drag constraints.",Use WPA3-encrypted telemetry with mutual authentication,Transmit unencrypted commands via frequency hopping,Relay commands through unauthenticated mesh nodes,Disable encryption to reduce processor latency,Use pre-shared keys with no replay protection,Authenticate via GPS-derived timestamps only,Employ TLS 1.3 with certificate pinning and fallback MAC verification,"[""Use WPA3-encrypted telemetry with mutual authentication"", ""Transmit unencrypted commands via frequency hopping"", ""Relay commands through unauthenticated mesh nodes"", ""Disable encryption to reduce processor latency"", ""Use pre-shared keys with no replay protection"", ""Authenticate via GPS-derived timestamps only"", ""Employ TLS 1.3 with certificate pinning and fallback MAC verification""]","TLS 1.3 ensures encrypted, authenticated commands with forward secrecy, critical under GNSS spoofing and jamming. Certificate pinning and MAC fallback maintain control integrity during downlink loss. Other options either lack encryption, authentication, or resilience to spoofed signals, risking command injection or control takeover." 2025-11-01T18:05:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/gps_spoof_or_jam_harbor_solar_wing_fc31f47331ff_mcq.json,uavbench-mcq-v1,gps_spoof_or_jam_harbor_solar_wing,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 210 seconds, GNSS fails at 90 m AGL with 8.5 m/s winds; what is optimal?","This UAV mission involves an inspection task conducted in a harbor airspace using a solar-powered fixed-wing UAV equipped with RGB camera payload. The aircraft operates within an altitude range of 30 to 150 meters AGL and must navigate around a central no-fly cylinder near the harbor's center. Weather conditions include strong winds from 240 degrees at 8.5 m/s with gusts up to 4 m/s, poor visibility, and active hail, increasing flight complexity. GNSS signals are degraded due to jamming at -75 dBm and electromagnetic interference, with a planned GNSS jamming fault occurring between 200 and 260 seconds into the mission. The UAV must maintain separation from a nearby UAV traffic object and avoid a moving spherical obstacle traveling eastward at 5 m/s. Communication links experience two downlink loss windows, requiring resilient data handling. The mission follows a corridor pattern across four waypoints, requiring runway-aligned takeoff and landing procedures despite limited preferred and emergency landing zones. Battery capacity is limited to 1800 Wh with a 30% reserve, demanding efficient energy use amid aerodynamic and environmental challenges. The scenario emphasizes navigation resilience under GNSS denial, obstacle avoidance, and strict airspace constraints in a dynamic maritime environment.",Descend to 30 m AGL to reduce wind exposure,Climb to 150 m for better signal recovery,Maintain altitude and switch to vision-inertial nav,Turn west to exit jamming zone immediately,Circle at current position until GNSS returns,Accelerate to reach next waypoint before hail worsens,Descend rapidly toward emergency landing zone,"[""Descend to 30 m AGL to reduce wind exposure"", ""Climb to 150 m for better signal recovery"", ""Maintain altitude and switch to vision-inertial nav"", ""Turn west to exit jamming zone immediately"", ""Circle at current position until GNSS returns"", ""Accelerate to reach next waypoint before hail worsens"", ""Descend rapidly toward emergency landing zone""]","Maintaining 90 m AGL balances aerodynamic stability, obstacle clearance, and energy efficiency under strong winds. Vision-inertial navigation sustains guidance during GNSS denial without increasing collision risk. Other options compromise safety, energy, or mission continuity through poor altitude, excessive maneuvering, or communication vulnerability." 2025-11-01T18:05:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/harbor_disaster_recon_hexacopter_941f21a99d15_mcq.json,uavbench-mcq-v1,harbor_disaster_recon_hexacopter,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which UAV configuration best handles icing, wind gusts up to 4.2 m/s, and maintains 25m separation in 8.5 m/s winds?","This is a search and rescue mission conducted by a hexacopter UAV in a harbor environment. The operation takes place within a defined airspace polygon with a maximum altitude of 120 meters AGL and a minimum of 10 meters. Weather conditions include strong winds at 8.5 m/s from 240 degrees, gusts up to 4.2 m/s, poor visibility, and hail. The UAV is equipped with a battery-powered hexacopter platform carrying RGB and thermal cameras, LiDAR, and standard navigation sensors. A cylindrical no-fly zone is present near the center of the area, restricting access between 10 and 60 meters altitude within a 20-meter radius. The mission must be completed within 600 seconds, following a corridor search pattern across four waypoints. A single traffic UAV and a slowly moving spherical obstacle add complexity to navigation. GNSS signal multipath may occur due to harbor structures, and there are brief communication loss windows during the flight. An icing event fault is introduced at 200 seconds, reducing performance for one minute. The UAV must maintain separation of at least 25 meters from obstacles and other aircraft, with a time-to-collision threshold of 15 seconds.",Monocopter with single RGB camera and no thermal,Quadcopter with thermal camera and basic GNSS,Fixed-wing with LiDAR and long endurance,"Hexacopter with RGB, thermal, LiDAR, and redundancy",Octocopter with dual batteries but high power draw,Hexacopter with only RGB camera and no LiDAR,Quadcopter with thermal and reduced wind tolerance,"[""Monocopter with single RGB camera and no thermal"", ""Quadcopter with thermal camera and basic GNSS"", ""Fixed-wing with LiDAR and long endurance"", ""Hexacopter with RGB, thermal, LiDAR, and redundancy"", ""Octocopter with dual batteries but high power draw"", ""Hexacopter with only RGB camera and no LiDAR"", ""Quadcopter with thermal and reduced wind tolerance""]","The hexacopter with RGB, thermal, LiDAR, and redundancy balances fault tolerance, sensor fusion, and wind resilience. It meets separation and navigation demands despite icing and GNSS multipath. Others lack sensor diversity, redundancy, or environmental adaptability under fault conditions." 2025-11-01T18:05:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/harbor_heavy_delivery_vtol_16b35ba5b78e_mcq.json,uavbench-mcq-v1,harbor_heavy_delivery_vtol,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,B,False,"Given 8 m/s winds from 210°, a moving NFZ, and 10–120 m AGL limits, which route adjusts dynamically while maintaining 25 m separation and avoiding static/dynamic obstacles?","This is a VTOL heavy-lift delivery mission in a harbor environment. The UAV operates within a defined rectangular airspace between 10 and 120 meters AGL. Weather includes strong 8 m/s winds from 210 degrees, gusts up to 4.5 m/s, poor visibility, and hail. The aircraft is a tiltrotor VTOL with a 8 kg payload, equipped with lidar, radar, and cameras for navigation. A static no-fly zone blocks part of the route, and a dynamic no-fly zone moves through the airspace. Another UAV and a moving spherical obstacle create traffic complexity. The mission must follow a corridor pattern and use a designated runway for operations. GNSS multipath is likely due to harbor structures, and separation from traffic must be maintained above 25 meters. An icing event occurs mid-mission, affecting performance for one minute. Communication experiences a brief 10-second uplink/downlink loss.",Climb to 130 m AGL to bypass moving NFZ quickly,"Follow corridor at 90 m AGL, adjust heading to counter wind drift",Descend to 5 m AGL to minimize wind and radar detection,Fly direct through static NFZ to save 45 seconds,Hover for 2 minutes until dynamic NFZ passes,"Route east of spherical obstacle at 80 m AGL, 15° bank turns",Maintain planned path ignoring comms loss and icing,"[""Climb to 130 m AGL to bypass moving NFZ quickly"", ""Follow corridor at 90 m AGL, adjust heading to counter wind drift"", ""Descend to 5 m AGL to minimize wind and radar detection"", ""Fly direct through static NFZ to save 45 seconds"", ""Hover for 2 minutes until dynamic NFZ passes"", ""Route east of spherical obstacle at 80 m AGL, 15° bank turns"", ""Maintain planned path ignoring comms loss and icing""]","Flying at 90 m AGL stays within the allowed altitude band and avoids the 130 m AGL violation. Adjusting heading compensates for 210° wind drift, preserving corridor alignment and obstacle separation. This balances energy use, timing, and sensor limitations while adapting to dynamic conditions without violating constraints." 2025-11-01T18:05:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/harbor_ops_fixed_wing_volcanic_gusts_b1038007efdb_mcq.json,uavbench-mcq-v1,harbor_ops_fixed_wing_volcanic_gusts,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,Which route avoids the drifting no-fly cylinder and maintains 30–300 m AGL during 45-second GNSS loss at 200 m with 4.2 m/s gusts?,"Fixed-wing UAV conducts harbor inspection near an active volcanic zone. Operations occur within a defined polygon airspace, bounded between 30–300 m AGL. Weather includes strong gusts up to 4.2 m/s, poor visibility, ash clouds, and lightning risk. The UAV is equipped with radar, RGB and thermal cameras, and standard navigation sensors. Notable constraints include a static no-fly zone and a moving no-fly cylinder drifting northeast. GNSS performance is degraded due to jamming at -75 dBm and electromagnetic interference. Wind increases with altitude, shifting direction from 240° to 270° between 0–200 m. Thermal updrafts of 2.5 m/s occur near the volcano, affecting flight stability. The mission requires runway-assisted takeoff and landing within a 600-second window. Faults include a 45-second GNSS jamming event and a 60-second icing condition mid-flight.",Climb to 310 m to clear thermal updrafts,Descend to 25 m AGL near volcanic ridge,"Hold 200 m AGL, heading 090 for 90 seconds","Turn right 180°, exit polygon airspace",Follow curved path around cylinder at 180 m AGL,Maintain current heading and altitude,Accelerate straight through no-fly cylinder,"[""Climb to 310 m to clear thermal updrafts"", ""Descend to 25 m AGL near volcanic ridge"", ""Hold 200 m AGL, heading 090 for 90 seconds"", ""Turn right 180°, exit polygon airspace"", ""Follow curved path around cylinder at 180 m AGL"", ""Maintain current heading and altitude"", ""Accelerate straight through no-fly cylinder""]","The curved path at 180 m AGL respects the 30–300 m AGL band and avoids the moving no-fly cylinder using radar-guided detour. During GNSS outage, inertial and radar navigation allow safe re-routing without violating spatial or altitude constraints. Other options breach AGL limits, enter NFZs, or fail to adapt to dynamic obstacles." 2025-11-01T18:05:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_firefighting_drop_icing_rural_3b42e69aea4b_mcq.json,uavbench-mcq-v1,glider_firefighting_drop_icing_rural,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 180 s, icing begins; winds are 14 m/s W at 200 m, gusts +4 m/s. How to maintain navigation integrity?","This scenario involves a glider-type UAV conducting a firefighting drop mission in rural airspace. The UAV is equipped with RGB and thermal cameras for payload imaging and relies on standard sensors including GNSS, IMU, and barometer. The mission takes place under challenging weather conditions, including active icing that affects the UAV at 180 seconds into the flight. Winds are moderate but increase with altitude, reaching 14 m/s from the west at 200 m AGL, with gusts up to 4 m/s. The operational altitude is restricted between 50 and 300 m AGL within a defined polygonal geofence. A static no-fly zone is present near the center of the area, and an additional dynamic no-fly zone moves through the airspace during the mission. A single moving spherical obstacle and another UAV traffic participant require real-time separation assurance with a minimum separation threshold of 25 meters. The glider must complete its corridor-pattern waypoints within a 600-second time budget, starting from a mid-air spawn point. Communication experiences two brief downlink loss windows, but overall uplink and downlink remain functional. The UAV’s performance is constrained by battery reserves, potential icing degradation, and the need to avoid stalls while operating efficiently in wind shear and thermal updrafts.",Rely solely on GNSS due to high wind bias,Switch to IMU-barometer dead reckoning only,Fuse GNSS with IMU and airspeed feedback,Use thermal camera to estimate wind drift,Trust RGB optical flow above 50 m AGL,Disable barometer during gust transitions,Prioritize magnetic heading in icing,"[""Rely solely on GNSS due to high wind bias"", ""Switch to IMU-barometer dead reckoning only"", ""Fuse GNSS with IMU and airspeed feedback"", ""Use thermal camera to estimate wind drift"", ""Trust RGB optical flow above 50 m AGL"", ""Disable barometer during gust transitions"", ""Prioritize magnetic heading in icing""]","GNSS may suffer multipath or dropouts, while IMU drifts over time. Fusing GNSS with IMU and airspeed corrects for wind shear and icing-induced attitude errors. This maintains altitude and position accuracy within the geofence under degraded aerodynamic performance." 2025-11-01T18:05:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/harbor_ops_hexacopter_volcanic_cold_5d65fcd85b87_mcq.json,uavbench-mcq-v1,harbor_ops_hexacopter_volcanic_cold,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,G,False,"At 210s, icing reduces lift; GNSS at -85 dBm, wind 13.5 m/s. Which action maintains position integrity?","Hexacopter conducts harbor inspection in a volcanic zone with active thermal plumes. Operations occur within a defined polygonal airspace bounded from 10 to 120 meters AGL. Weather includes strong winds up to 13.5 m/s, poor visibility, snowfall, and icing conditions. The UAV is equipped with RGB and thermal cameras, LiDAR, and full suite of navigation sensors. GNSS signals suffer from multipath interference and moderate jamming at -85 dBm. A static no-fly zone blocks access near a volcanic vent, while a dynamic no-fly zone moves slowly. A single traffic UAV enters from the north at 50 meters altitude. A moving spherical obstacle drifts eastward below the flight path. Mid-mission icing event reduces performance for two minutes starting at 210 seconds. Communication experiences brief downlink losses at 180 and 300 seconds.",Increase reliance on GNSS for stable hover,Switch to IMU-only control to avoid sensor noise,Fuse LiDAR with thermal flow for drift correction,Descend to 10m AGL to reduce wind exposure,Use RGB optical flow despite snowfall visibility drop,Hold altitude using barometer during GNSS loss,Activate visual-inertial fusion with thermal camera,"[""Increase reliance on GNSS for stable hover"", ""Switch to IMU-only control to avoid sensor noise"", ""Fuse LiDAR with thermal flow for drift correction"", ""Descend to 10m AGL to reduce wind exposure"", ""Use RGB optical flow despite snowfall visibility drop"", ""Hold altitude using barometer during GNSS loss"", ""Activate visual-inertial fusion with thermal camera""]","Visual-inertial fusion with thermal camera leverages heat signatures unaffected by snowfall, compensating for degraded GNSS and RGB. Thermal data maintains feature tracking during poor visibility, while IMU bridges gaps in positioning. This maximizes resilience against multipath, jamming, and icing-induced control challenges." 2025-11-01T18:05:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/gps_spoof_or_jam_in_volcanic_sandstorm_5592c367cf9f_mcq.json,uavbench-mcq-v1,gps_spoof_or_jam_in_volcanic_sandstorm,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"During a 60-second GNSS jam at -75 dBm and 18 m/s winds, what ensures navigation integrity?","This is an inspection mission using an octocopter UAV equipped with RGB and thermal cameras, LiDAR, and full sensor suite including GNSS, IMU, and magnetometer. The mission takes place in a restricted volcanic zone with poor visibility due to an active sandstorm and strong, gusty winds increasing with altitude. The UAV must navigate a grid pattern within a defined 200m x 200m geofenced area, avoiding static and moving no-fly zones, including a dynamic cylindrical NFZ drifting at 2.2 m/s. GNSS performance is severely challenged by intentional jamming at -75 dBm and two planned faults: a 60-second GNSS jamming event and a 40-second spoofing attack starting at 300 seconds. Wind speeds range from 12 m/s at ground level to 18 m/s at 100m altitude, with shifting direction, increasing control difficulty. The UAV carries a 1.5 kg payload and operates on battery power with a 30% reserve requirement, limiting available energy for the 10-minute mission window. Uplink communications are lost intermittently during two critical time windows, forcing reliance on autonomous decision-making. A second UAV and a vertically oscillating spherical obstacle add complexity to collision avoidance, with DAA thresholds set at 25m separation and 10s time-to-closest-approach. The scenario emphasizes resilience to GNSS denial, sensor degradation in harsh environmental conditions, and safe navigation in confined, dynamic airspace.",Trust LiDAR-only SLAM with 5 cm resolution,Switch to magnetometer-based heading hold,Rely on IMU dead reckoning with 0.3° drift,Fuse visual odometry with LiDAR and IMU,Increase GNSS weight despite jamming,Use thermal camera for feature tracking,Descend to reduce wind but lose view,"[""Trust LiDAR-only SLAM with 5 cm resolution"", ""Switch to magnetometer-based heading hold"", ""Rely on IMU dead reckoning with 0.3° drift"", ""Fuse visual odometry with LiDAR and IMU"", ""Increase GNSS weight despite jamming"", ""Use thermal camera for feature tracking"", ""Descend to reduce wind but lose view""]","Visual odometry and LiDAR compensate for GNSS denial by providing spatial constraints, while IMU fills high-frequency gaps. Fusing them mitigates wind-induced motion blur and sandstorm occlusion. This adaptive fusion maintains accuracy without relying on degraded GNSS or magnetometer interference." 2025-11-01T18:05:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/harbor_ops_high_altitude_pseudo_satellite_sandstorm_2ffee4e097d0_mcq.json,uavbench-mcq-v1,harbor_ops_high_altitude_pseudo_satellite_sandstorm,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 3,000 m AGL in sandstorm with 18 m/s gusts and GNSS multipath, which sensor fusion strategy maximizes navigation integrity?","High-altitude pseudo-satellite UAV conducts a survey mission in a volcanic zone with restricted airspace. Operations occur between 1,500 and 3,500 meters AGL within a defined geofenced polygon. Severe sandstorm conditions reduce visibility and increase environmental hazards. UAV is equipped with radar, RGB and thermal cameras, relying on battery power with moderate endurance. Strong winds up to 18 m/s with gusts and directional shear challenge flight stability. GNSS signals suffer from multipath and jamming, while electromagnetic interference degrades navigation. A static no-fly zone and a moving dynamic no-fly cylinder require real-time avoidance. Another UAV and a moving spherical obstacle create collision risks requiring DAA compliance. Mission includes a grid pattern survey with a strict 900-second time budget. Communication experiences brief uplink/downlink outages, and safe landing sites are limited.",Prioritize GNSS with Kalman smoothing to reduce multipath noise,Rely solely on IMU during communication outages,Fuse radar altimetry with thermal SLAM for terrain-relative navigation,Use RGB optical flow for velocity estimation in low visibility,Switch to GPS-only mode to avoid sensor calibration delays,Depend on magnetic heading under electromagnetic interference,Disable sensor fusion to reduce processing load in turbulence,"[""Prioritize GNSS with Kalman smoothing to reduce multipath noise"", ""Rely solely on IMU during communication outages"", ""Fuse radar altimetry with thermal SLAM for terrain-relative navigation"", ""Use RGB optical flow for velocity estimation in low visibility"", ""Switch to GPS-only mode to avoid sensor calibration delays"", ""Depend on magnetic heading under electromagnetic interference"", ""Disable sensor fusion to reduce processing load in turbulence""]","Radar penetrates sandstorm and provides reliable altimetry, while thermal SLAM enables feature-based localization despite low visibility. Fusing these maintains navigation integrity when GNSS is degraded and avoids drift from IMU-only solutions. This strategy leverages environmental resilience and cross-modal redundancy." 2025-11-01T18:05:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/harbor_ops_octocopter_sandstorm_forest_db1772f7dde5_mcq.json,uavbench-mcq-v1,harbor_ops_octocopter_sandstorm_forest,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"Octocopter flies at 110 m AGL with 14 m/s wind from 260°; battery drain and GNSS jamming occur. Which action balances safety, energy, and mission time?","Octocopter UAV conducts a forest inspection mission in poor visibility due to an active sandstorm. Operations occur within a defined polygonal airspace bounded between 5 and 120 meters AGL. Wind speeds increase with altitude, reaching up to 14 m/s from 260 degrees at 100 meters. The UAV is equipped with RGB and thermal cameras, LiDAR, and full navigation sensors including GNSS and IMU. A static no-fly zone and a moving no-fly cylinder create dynamic airspace constraints. GNSS multipath and electromagnetic interference degrade navigation accuracy, with a scheduled GNSS jamming fault. A second UAV and a moving spherical obstacle require separation monitoring using DAA thresholds. The mission must be completed within 600 seconds, following a corridor pattern through four waypoints. Battery reserves are set to 30%, with high power consumption expected due to wind and drag. Communication link drops occur briefly at 180–195 and 340–360 seconds, adding operational risk.",Climb to 120 m to reduce drag and improve GNSS signal,Descend to 40 m to avoid wind and conserve battery,Maintain 110 m and increase speed to reach waypoints early,"Hover until GNSS stabilizes, then resume corridor path",Reduce speed to 3 m/s to improve sensor accuracy,Divert around both no-fly zones at 80 m and 8 m/s,"Proceed at 6 m/s at 50 m AGL, monitoring DAA thresholds","[""Climb to 120 m to reduce drag and improve GNSS signal"", ""Descend to 40 m to avoid wind and conserve battery"", ""Maintain 110 m and increase speed to reach waypoints early"", ""Hover until GNSS stabilizes, then resume corridor path"", ""Reduce speed to 3 m/s to improve sensor accuracy"", ""Divert around both no-fly zones at 80 m and 8 m/s"", ""Proceed at 6 m/s at 50 m AGL, monitoring DAA thresholds""]","Flying at 50 m AGL reduces wind exposure (below 100 m's 14 m/s) while staying above minimum safe altitude. At 6 m/s, energy use is balanced with progress, maintaining DAA separation under degraded GNSS. This path avoids no-fly zones, respects battery reserves, and completes the mission within 600 seconds despite communication dropouts." 2025-11-01T18:05:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/gps_spoof_or_jam_underground_mine_fixed_wing_0e6ebd5023aa_mcq.json,uavbench-mcq-v1,gps_spoof_or_jam_underground_mine_fixed_wing,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,Which system ensures navigation during 60s GNSS jamming at -75 dBm and 300s icing onset with 30% battery reserve?,"Fixed-wing UAV conducts an inspection mission in an underground mine with low visibility and icing conditions. The airspace is confined with a 2–30 meter AGL altitude limit and a polygonal geofence enclosing the area. A cylindrical no-fly zone is centered at (50, 40) with a 10-meter radius, extending vertically through the flight levels. The UAV is equipped with GNSS, IMU, magnetometer, barometer, LiDAR, and RGB camera, but faces GNSS jamming at -75 dBm and electromagnetic interference. A scheduled GNSS jamming event occurs at 200 seconds, lasting 60 seconds, followed by an icing event starting at 300 seconds. Communication links experience two downlink/uplink loss windows, impacting control and telemetry. The mission follows a corridor pattern with five waypoints, requiring a runway takeoff and landing. Flight endurance is limited by a 600-second time budget and battery capacity with a 30% reserve requirement. Wind blows from 180 degrees at 3 m/s with 2 m/s gusts, affecting stability in tight corridors. Notable risks include GNSS multipath, loss of separation, battery depletion, and potential stall due to icing.",Pure GNSS with magnetometer backup,LiDAR-only SLAM in low visibility,IMU-barometer fusion with no GNSS,GNSS-IMU with LiDAR correction,Vision-only corridor tracking,Barometric hold with no redundancy,Dead reckoning post-jamming onset,"[""Pure GNSS with magnetometer backup"", ""LiDAR-only SLAM in low visibility"", ""IMU-barometer fusion with no GNSS"", ""GNSS-IMU with LiDAR correction"", ""Vision-only corridor tracking"", ""Barometric hold with no redundancy"", ""Dead reckoning post-jamming onset""]",GNSS-IMU provides continuous positioning while LiDAR corrects drift during jamming and low visibility. This fusion ensures resilience to GNSS denial and icing-induced stalls. Other options lack redundancy or fail in key phases like corridor navigation or battery-constrained endurance. 2025-11-01T18:05:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heavy_lift_delivery_in_fog_0bc23c1b5de8_mcq.json,uavbench-mcq-v1,heavy_lift_delivery_in_fog,minimax/minimax-m1,9,Comparative System Reasoning,7,?,E,False,"Which UAV system best balances 28.5 kg mass, 8 kg payload, and foggy urban flight with moving obstacles?","Heavy lift UAV conducts package delivery in an urban canyon environment with poor visibility due to fog. The mission involves navigating a corridor pattern between four waypoints within a 600-second time budget. Operating altitude ranges from 20 to 120 meters AGL within a polygonal geofenced area. A cylindrical no-fly zone centered at (250, 300) with a 40-meter radius restricts flight path options. The UAV is an 8-rotor heavy lift platform with a total mass of 28.5 kg, including an 8 kg payload. Equipped with GNSS, IMU, radar, lidar, and RGB camera for navigation in low-visibility conditions. Faces moderate wind at 6.5 m/s from 240 degrees with gusts up to 3.2 m/s, increasing control challenges. A moving spherical obstacle drifts through the airspace near waypoint three at 50 meters altitude. Another UAV enters the airspace at (300, 100) traveling northeast at 12 m/s, requiring separation management. Minimum separation threshold is 25 meters with a time-to-closest-approach limit of 15 seconds for collision avoidance.","Monocular vision-only drone, 5 kg max payload, no radar","Fixed-wing UAV, 120 min endurance, no hover capability","6-rotor config, 25 kg total mass, no lidar for fog","8-rotor with GNSS/IMU only, no radar or lidar","8-rotor, full sensor suite, 30-minute endurance, 28.5 kg","Hybrid VTOL, 150 min endurance, 20 m/s max speed","4-rotor heavy lift, 30 kg capacity, single-redundant IMU","[""Monocular vision-only drone, 5 kg max payload, no radar"", ""Fixed-wing UAV, 120 min endurance, no hover capability"", ""6-rotor config, 25 kg total mass, no lidar for fog"", ""8-rotor with GNSS/IMU only, no radar or lidar"", ""8-rotor, full sensor suite, 30-minute endurance, 28.5 kg"", ""Hybrid VTOL, 150 min endurance, 20 m/s max speed"", ""4-rotor heavy lift, 30 kg capacity, single-redundant IMU""]","The 8-rotor with full sensors ensures obstacle detection in fog and handles 28.5 kg mass with redundancy. It meets time, payload, and navigation needs. Others lack sensor fusion, fault tolerance, or hover precision in constrained, dynamic airspace." 2025-11-01T18:05:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/gps_spoof_or_jam_underground_mine_heavy_lift_3708ea3e6bb2_mcq.json,uavbench-mcq-v1,gps_spoof_or_jam_underground_mine_heavy_lift,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,A,False,"At 200s, GNSS jamming hits -75 dBm and uplink degrades; UAV has 4 waypoints in 50m airspace, 10-min budget.","Heavy-lift UAV conducts an inspection mission inside an underground mine. The confined airspace is limited to 50 meters AGL with a defined polygonal boundary. Poor visibility and microburst wind risks complicate flight conditions. The UAV is equipped with GNSS, LiDAR, RGB camera, and IMU but faces GNSS jamming at -75 dBm. Electromagnetic interference and periodic uplink loss disrupt communications. A cylindrical no-fly zone blocks access to a central area of the mine. The UAV must follow a corridor inspection pattern with four waypoints under a 10-minute time budget. GNSS jamming fault is injected at 200 seconds, lasting one minute with high severity. Uplink degrades during two critical windows, challenging command reliability. Primary risks include navigation loss, NFZ violations, and battery depletion due to heavy payload and drag.","Switch to LiDAR-IMU dead reckoning, reduce camera fps, and slow speed by 20%","Continue GNSS navigation, increase transmission power to maintain uplink",Climb to 50m AGL immediately to maximize signal reception and visibility,Abort mission and return directly to base to preserve battery and safety,Activate high-bandwidth RGB stream to send real-time visuals to ground station,Bypass two waypoints to save time and use GNSS despite jamming,Hover for 30 seconds to stabilize positioning before proceeding to next waypoint,"[""Switch to LiDAR-IMU dead reckoning, reduce camera fps, and slow speed by 20%"", ""Continue GNSS navigation, increase transmission power to maintain uplink"", ""Climb to 50m AGL immediately to maximize signal reception and visibility"", ""Abort mission and return directly to base to preserve battery and safety"", ""Activate high-bandwidth RGB stream to send real-time visuals to ground station"", ""Bypass two waypoints to save time and use GNSS despite jamming"", ""Hover for 30 seconds to stabilize positioning before proceeding to next waypoint""]","Switching to LiDAR-IMU avoids GNSS dependency while reducing camera fps saves power. Slowing speed improves control in wind and lowers drag-induced energy use. This balances sensor load, navigation integrity, and battery life within time and airspace limits." 2025-11-01T18:05:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/coastal_glider_incursion_daa_e86552ef1fb2_mcq.json,uavbench-mcq-v1,coastal_glider_incursion_daa,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"A glider UAV faces icing, GNSS jamming at -85 dBm, and 8–12 m/s winds at 300 m AGL. What action ensures compliance and safety during approach?","This scenario involves a fixed-wing glider UAV conducting a coastal survey mission in controlled airspace with a maximum altitude of 300 m AGL. The UAV is equipped with RGB camera payload and standard navigation sensors but lacks radar and lidar. It operates in poor visibility with icing conditions, 8–12 m/s winds from the west-northwest, and significant wind shear with altitude. GNSS signals are degraded due to multipath effects and moderate jamming at -85 dBm, compounded by electromagnetic interference. The mission includes a predefined corridor-shaped waypoint path requiring runway-aligned approach for landing. A static no-fly zone and a moving no-fly cylinder create dynamic constraints, requiring real-time avoidance. The glider must also maintain separation from another UAV flying across its path and avoid a moving spherical obstacle. An icing fault event occurs mid-mission, reducing performance for 60 seconds. Communication experiences two brief downlink loss windows, and battery reserves must account for increased drag and power demands. The mission emphasizes detect-and-avoid performance, energy management, and adherence to airspace boundaries under adverse environmental conditions.",Descend immediately to 100 m AGL to reduce icing risk,Maintain 300 m AGL to preserve GNSS signal strength,Divert to alternate landing zone outside controlled airspace,Initiate descent along runway-aligned approach now,Climb to 350 m AGL for better wind clearance,Delay descent until past moving no-fly cylinder,"Turn east to avoid wind shear, delay landing","[""Descend immediately to 100 m AGL to reduce icing risk"", ""Maintain 300 m AGL to preserve GNSS signal strength"", ""Divert to alternate landing zone outside controlled airspace"", ""Initiate descent along runway-aligned approach now"", ""Climb to 350 m AGL for better wind clearance"", ""Delay descent until past moving no-fly cylinder"", ""Turn east to avoid wind shear, delay landing""]","The runway-aligned approach is mandatory and time-critical. Option D complies with airspace, preserves approach geometry, and minimizes exposure to wind shear and icing. Other options violate altitude limits, increase multipath risk, or compromise separation and energy reserves." 2025-11-01T18:05:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/glider_firefighting_volcanic_fog_4fce6696fc60_mcq.json,uavbench-mcq-v1,glider_firefighting_volcanic_fog,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"Given 11.5 m/s winds, fog, and a 60-second icing fault, what maneuver optimizes glide efficiency and obstacle avoidance within 600 seconds?","This mission involves a glider UAV conducting a firefighting drop in a volcanic zone with poor visibility due to fog. The airspace is constrained between 10 and 250 meters AGL within a polygonal geofence, featuring a static no-fly cylinder and a moving no-fly zone. Weather conditions include strong winds up to 11.5 m/s, gusts, thermal updrafts, fog, and icing conditions that affect flight performance. The UAV is equipped with RGB and thermal cameras for payload imaging but lacks LiDAR or radar, relying on GNSS/IMU navigation despite significant GNSS multipath and jamming interference. A separate UAV and a moving spherical obstacle traverse the airspace, requiring collision avoidance with a 25-meter separation threshold. The glider must complete a corridor pattern through four waypoints within a 600-second time limit, avoiding obstacles and restricted zones. The launch point is near the southwest corner, with preferred and emergency landing sites available. Battery endurance is limited, and reserve power must account for increased drag from payload and environmental stress. An icing fault occurs mid-mission, reducing performance for 60 seconds. Communication experiences two downlink loss windows, challenging telemetry and control reliability.",Increase angle of attack to maximize lift in thermals,Descend at minimum sink speed to extend range,Fly at best L/D speed despite wind gusts,Climb at maximum rate to avoid no-fly cylinder,Reduce airspeed below stall threshold to wait out gusts,Bank sharply at 60° to bypass moving obstacle,Accelerate beyond Vne to minimize exposure time,"[""Increase angle of attack to maximize lift in thermals"", ""Descend at minimum sink speed to extend range"", ""Fly at best L/D speed despite wind gusts"", ""Climb at maximum rate to avoid no-fly cylinder"", ""Reduce airspeed below stall threshold to wait out gusts"", ""Bank sharply at 60° to bypass moving obstacle"", ""Accelerate beyond Vne to minimize exposure time""]","Flying at minimum sink speed maximizes endurance and glide time, critical during GNSS outages and icing-induced performance loss. It balances lift and induced drag under reduced wing efficiency, preserving altitude for controlled descent. Other options either exceed structural limits, increase stall risk, or waste energy." 2025-11-01T18:05:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heavy_lift_thermal_soaring_suburban_2c2a6a948183_mcq.json,uavbench-mcq-v1,heavy_lift_thermal_soaring_suburban,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 120m AGL, 5 kg payload, and 15-knot southwest winds, which maneuver optimizes energy use in thermal updrafts while maintaining stability?","This is a heavy-lift UAV delivery mission in a suburban airspace with moderate wind and thermal updrafts. The UAV operates between 10 and 150 meters AGL within a defined polygonal geofence. Wind increases with altitude, shifting direction from south to southwest at higher levels. The environment includes two thermal plumes that can be exploited for energy-saving soaring. The UAV is an octocopter with fixed-wing aerodynamic features, carrying a 5 kg payload and equipped with thermal and RGB cameras, LIDAR, and full navigation sensors. GNSS signals suffer from multipath effects and moderate jamming, while electromagnetic interference is present. A static no-fly zone and a moving dynamic no-fly zone challenge path planning. Another UAV and a moving spherical obstacle require separation management with a 25-meter threshold. Communication experiences brief uplink/downlink outages, and the mission must complete within 15 minutes while maintaining battery reserves.",Descend to 10m to avoid wind shear and turbulence,Increase airspeed to 18 m/s to minimize induced drag,Circle at 8 m/s within thermal plume to maximize lift coefficient,Pitch down 10° to reduce angle of attack and parasite drag,Reduce throttle to idle and glide eastward with tailwind,Bank 45° into wind to counteract lateral drift,Climb vertically at maximum rate to exploit updraft center,"[""Descend to 10m to avoid wind shear and turbulence"", ""Increase airspeed to 18 m/s to minimize induced drag"", ""Circle at 8 m/s within thermal plume to maximize lift coefficient"", ""Pitch down 10° to reduce angle of attack and parasite drag"", ""Reduce throttle to idle and glide eastward with tailwind"", ""Bank 45° into wind to counteract lateral drift"", ""Climb vertically at maximum rate to exploit updraft center""]","Circling at 8 m/s within the thermal maximizes lift coefficient and soaring efficiency while maintaining Reynolds number sufficient for stable boundary layer flow. This balances induced and parasite drag near minimum power speed, leveraging updraft energy without stalling or excessive sink rate." 2025-11-01T18:05:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/harbor_glider_survey_hot_0c112fa72b6d_mcq.json,uavbench-mcq-v1,harbor_glider_survey_hot,minimax/minimax-m1,9,Comparative System Reasoning,7,?,E,False,Which UAV configuration optimizes energy efficiency and obstacle avoidance at 8 m/s winds and 300 m AGL?,"This scenario involves a glider UAV conducting a corridor survey mission near an airport perimeter. The flight takes place in controlled airspace with a maximum altitude of 300 m AGL and a minimum of 30 m AGL. Weather conditions include strong winds at 8 m/s increasing with altitude, gusts up to 4.5 m/s, and high temperatures affecting performance. The UAV is equipped with an RGB camera payload and relies on battery power, with a focus on energy-efficient gliding flight. Notable constraints include a static no-fly zone near the center of the area and a moving no-fly zone shifting at 5 m/s. GNSS multipath and electromagnetic interference are present, degrading navigation accuracy. A thermal updraft zone is available to assist lift, though wind shear across altitudes complicates flight control. The mission requires use of a runway for landing and must avoid conflicts with a single traffic UAV and a moving spherical obstacle. Communication experiences brief downlink outages, and separation monitoring is required to maintain safe distances.",Fixed-wing with thermal lift tracking and GNSS-aided INS,Quadcopter with radar obstacle detection and 15-min endurance,Glider with camera payload and no wind-shear compensation,"Hybrid VTOL with lidar, high power draw, 200 m max altitude",Glider using predictive path planning for moving no-fly zone,"Fixed-wing with RGB camera, no updraft utilization, long range","Glider with ADS-B, limited downlink, no thermal detection","[""Fixed-wing with thermal lift tracking and GNSS-aided INS"", ""Quadcopter with radar obstacle detection and 15-min endurance"", ""Glider with camera payload and no wind-shear compensation"", ""Hybrid VTOL with lidar, high power draw, 200 m max altitude"", ""Glider using predictive path planning for moving no-fly zone"", ""Fixed-wing with RGB camera, no updraft utilization, long range"", ""Glider with ADS-B, limited downlink, no thermal detection""]","The glider must maximize endurance using thermals while avoiding a moving obstacle and wind shear. Option E combines predictive path planning for dynamic avoidance and energy-efficient flight. Others sacrifice endurance, adaptability, or critical sensing for updrafts and moving zones." 2025-11-01T18:05:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_bridge_site_microburst_0860fd5290b4_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_bridge_site_microburst,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 130 m AGL, 18 m/s winds from 270°, and a 1-min icing event, what action prioritizes safety amid swarm separation and GNSS issues?","High-altitude pseudo-satellite UAV conducts bridge inspection near a runway in a constrained urban airspace. Mission involves orbiting key waypoints at 100–150 m AGL within a defined polygon, avoiding a central no-fly cylinder. UAV carries RGB and thermal cameras, radar, and GNSS/IMU suite, with moderate payload drag. Wind increases with altitude, reaching 18 m/s from 270° at 300 m, with gusts and microburst risk. Thermal updrafts and wind shear challenge stability, especially during hover and transition phases. GNSS suffers from multipath and mild jamming, while electromagnetic interference affects comms and sensors. Swarm operation with three UAVs requires 25 m minimum separation between units. Icing event occurs mid-mission, reducing performance for one minute. Communication dropouts occur briefly at 120s and 450s, with low RSSI margins. Runway-aligned approach and departure are required, with strict altitude and geofence compliance.",Descend to 90 m AGL to reduce wind exposure and maintain orbit,Exit the polygon immediately and return to base via runway alignment,Climb to 160 m AGL for smoother airflow and better GNSS reception,"Hold position at 130 m AGL, awaiting signal stabilization",Reduce separation to 15 m to tighten formation and limit wind drag,Continue mission using thermal camera only; ignore comms dropouts,Eject payload to offset ice-induced drag and sustain operations,"[""Descend to 90 m AGL to reduce wind exposure and maintain orbit"", ""Exit the polygon immediately and return to base via runway alignment"", ""Climb to 160 m AGL for smoother airflow and better GNSS reception"", ""Hold position at 130 m AGL, awaiting signal stabilization"", ""Reduce separation to 15 m to tighten formation and limit wind drag"", ""Continue mission using thermal camera only; ignore comms dropouts"", ""Eject payload to offset ice-induced drag and sustain operations""]","High wind, icing, and GNSS degradation create a critical risk to control and collision avoidance, especially with swarm separation constraints. Continuing or adjusting within the airspace increases danger to urban infrastructure and flight safety. Immediate exit ensures compliance with safety-of-life, lawful geofencing, and emergency escalation protocols, prioritizing public and aviation safety over mission completion." 2025-11-01T18:05:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_convertiplane_powerline_low_vis_fb45e0519aef_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_convertiplane_powerline_low_vis,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During GNSS jamming and two comms dropouts, how should the UAV maintain navigation integrity at 120m AGL with icing degradation?","This scenario involves a convertiplane UAV conducting a powerline corridor inspection under poor visibility and icing conditions. The mission takes place in a defined polygonal airspace with an altitude range from 5 to 180 meters AGL. Winds are moderate to strong, increasing with altitude and shifting direction, while thermal updrafts create localized turbulence. The UAV is equipped with a comprehensive sensor suite including RGB and thermal cameras, LiDAR, and radar, suitable for inspection tasks. Key constraints include static and moving no-fly zones, GNSS multipath and jamming, and electromagnetic interference. The UAV must maintain separation from a single traffic UAV and a moving obstacle while navigating through the corridor. It is required to use a runway for landing and must manage transitions between VTOL and forward flight. An icing fault event occurs mid-mission, reducing performance for one minute. Communication dropouts occur twice during the flight, challenging command and control.",Rely solely on encrypted GNSS with SAASM,Switch to LiDAR-aided inertial navigation,Use unencrypted radar altimeter feedback,Execute RTL via last known GPS fix,Transmit high-rate telemetry to ground,Override actuators using pilot commands,Descend to 5m using barometric hold,"[""Rely solely on encrypted GNSS with SAASM"", ""Switch to LiDAR-aided inertial navigation"", ""Use unencrypted radar altimeter feedback"", ""Execute RTL via last known GPS fix"", ""Transmit high-rate telemetry to ground"", ""Override actuators using pilot commands"", ""Descend to 5m using barometric hold""]","LiDAR-aided inertial navigation preserves position integrity during GNSS jamming and comms loss by fusing trusted onboard sensors. It avoids unverified external data, maintains control stability amid icing-induced delays, and ensures mission continuity without exposing telemetry to spoofing." 2025-11-01T18:05:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_convertiplane_dense_urban_hail_861667a9962c_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_convertiplane_dense_urban_hail,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 120m AGL in hail and GNSS degradation, with 18% battery and icing, what minimizes risk while completing inspection?","This UAV mission involves a convertiplane conducting an inspection in dense urban airspace. The aircraft operates within a confined geofenced area, navigating around static and moving obstacles. Weather conditions include strong winds, gusts, poor visibility, and active hail. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It must maintain separation from other traffic and avoid no-fly zones, including a dynamic restricted zone. GNSS signals are degraded due to multipath and jamming, and electromagnetic interference is present. The mission requires precise point hovering and orbit patterns near structures, with a runway landing at the end. Battery endurance is limited, and a simulated icing event occurs mid-mission. Wind shear increases with altitude, requiring careful flight control. The UAV must complete its route within a strict time budget while managing energy and environmental hazards.",Climb to 150m for clearer GNSS and wind shear margin,Continue inspection at 120m AGL in hail with thermal camera,"Descend to 80m AGL, orbit structure, then proceed to landing","Divert immediately, climb above hail layer at 200m",Hover at current position until hail subsides,Eject payload and return via longest multipath corridor,Accelerate through inspection route at 15m/s to save time,"[""Climb to 150m for clearer GNSS and wind shear margin"", ""Continue inspection at 120m AGL in hail with thermal camera"", ""Descend to 80m AGL, orbit structure, then proceed to landing"", ""Divert immediately, climb above hail layer at 200m"", ""Hover at current position until hail subsides"", ""Eject payload and return via longest multipath corridor"", ""Accelerate through inspection route at 15m/s to save time""]","Descending to 80m AGL reduces exposure to wind shear and hail intensity while improving LiDAR and visual navigation accuracy under GNSS degradation. It allows completion of critical inspection tasks before initiating return, balancing energy, safety, and mission objectives. Other options increase altitude in hazardous conditions, waste time, or ignore battery and environmental constraints." 2025-11-01T18:05:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/harbor_dust_vtol_runway_13ef75c52c87_mcq.json,uavbench-mcq-v1,harbor_dust_vtol_runway,minimax/minimax-m1,9,Comparative System Reasoning,7,?,F,False,Which system ensures safe touch-and-go with 25m separation in 12 m/s winds and GNSS degradation?,"This is a VTOL touch-and-go mission in a harbor environment with poor visibility due to dust. The UAV is a tiltrotor VTOL with RGB camera payload, operating within a defined rectangular airspace. Winds are moderate at ground level (8 m/s) and increase with altitude (up to 12 m/s), shifting direction from 210° to 230°. A static no-fly zone is centered at (400, 300) with a 50m radius, and a dynamic obstacle moves near (200, 100). The mission requires use of a runway aligned at 120° heading for takeoff and landing. GNSS signals are degraded due to multipath and electromagnetic interference, with potential jamming at -85 dBm. A second UAV and a moving spherical obstacle introduce traffic and collision risks. The UAV must maintain separation of at least 25m from other traffic, with DAA alerts triggered below 25m or 25s time-to-closest-approach. Battery endurance and communication dropouts during two brief downlink windows add operational constraints.",Monocular vision with 200g payload and 30 min endurance,Dual INS with 25g latency and no radar,GNSS-only navigation with 500g payload capacity,LiDAR-only obstacle detection in dusty conditions,RF detector with -85 dBm jamming threshold,Hybrid LiDAR-radar DAA with 15g margin and 120° alignment,Single INS with 50 ms latency and RGB-only feed,"[""Monocular vision with 200g payload and 30 min endurance"", ""Dual INS with 25g latency and no radar"", ""GNSS-only navigation with 500g payload capacity"", ""LiDAR-only obstacle detection in dusty conditions"", ""RF detector with -85 dBm jamming threshold"", ""Hybrid LiDAR-radar DAA with 15g margin and 120° alignment"", ""Single INS with 50 ms latency and RGB-only feed""]","F combines LiDAR and radar for reliable DAA in dust and GNSS-degraded environments, ensuring 25m separation. It supports 120° runway alignment with low weight margin and handles wind up to 12 m/s. Other options fail in redundancy, sensor fusion, or environmental adaptability under mission constraints." 2025-11-01T18:05:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_forest_snow_757edc320e39_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_forest_snow,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which UAV configuration best balances endurance, DAA compliance, and GNSS-denied navigation during 80% jamming at 200–230s?","This is an inspection mission using a battery-powered quadrotor UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs in a forested airspace with snowfall and poor visibility, under moderate wind and gust conditions. The UAV must inspect multiple waypoints while orbiting each at a 10-meter radius, staying within 10–120 meters AGL. A cylindrical no-fly zone is centered at (100, 75) with a 20-meter radius and 60-meter ceiling. The UAV spawns at (20, 20, 30) and must return to a preferred landing site at (20, 20, 0). A second UAV and a moving spherical obstacle traverse the area, requiring separation assurance. The DAA system enforces a 25-meter separation threshold and 15-second time-to-closest-approach threshold. GNSS jamming occurs between 200 and 230 seconds with 80% severity, coinciding with a comms downlink loss window. Battery capacity is 320 Wh with a 30% reserve, and energy use is modeled with hover, drag, and maneuvering factors. The mission has a 600-second time budget and requires avoiding geofence breaches, altitude violations, collisions, and DAA breaches.",Fixed-pitch rotor; single RGB cam; 200 Wh battery,"Quadrotor; RGB, thermal, LiDAR; 320 Wh; baro-IMU fusion",Hexacopter; dual GNSS; no LiDAR; 300 Wh battery,Quadrotor; RGB only; 320 Wh; no DAA processing,Tilt-rotor; thermal cam; 350 Wh; no sensor fusion,Quadrotor; LiDAR only; 310 Wh; no thermal imaging,Octocopter; full sensors; 400 Wh; no jamming resilience,"[""Fixed-pitch rotor; single RGB cam; 200 Wh battery"", ""Quadrotor; RGB, thermal, LiDAR; 320 Wh; baro-IMU fusion"", ""Hexacopter; dual GNSS; no LiDAR; 300 Wh battery"", ""Quadrotor; RGB only; 320 Wh; no DAA processing"", ""Tilt-rotor; thermal cam; 350 Wh; no sensor fusion"", ""Quadrotor; LiDAR only; 310 Wh; no thermal imaging"", ""Octocopter; full sensors; 400 Wh; no jamming resilience""]","System B matches the mission's 320 Wh battery, sensor suite, and uses baro-IMU fusion for GNSS-denied navigation during jamming. It supports DAA with full sensors and maintains energy margin within the 600s budget. Other options lack sensor fusion, critical payloads, or jamming resilience, failing key mission phases." 2025-11-01T18:05:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/harbor_heavy_lift_gps_spoof_06b008c33ec9_mcq.json,uavbench-mcq-v1,harbor_heavy_lift_gps_spoof,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"At 230 s, wind gusts hit 12.5 m/s, GNSS/spoofing occurs, and a UAV approaches from the east. What action maintains safety, stability, and mission integrity?","Heavy lift UAV conducts a delivery mission in a harbor environment. The mission involves navigating a corridor pattern through constrained airspace with a maximum altitude of 150 meters AGL. Moderate winds of 8.5 m/s from 240 degrees with gusts up to 4.0 m/s affect flight stability. The UAV is equipped with GNSS, IMU, lidar, and RGB camera, relying on battery power with an 8-rotor heavy-lift configuration. A payload of 10 kg is carried, increasing drag and energy consumption during transit. Two no-fly zones are present: one static cylinder near the center and one dynamic cylinder moving southwest. A moving spherical obstacle drifts westward at 1.0 m/s, requiring real-time avoidance. GNSS spoofing occurs between 200 and 260 seconds, causing signal degradation and potential navigation errors. Downlink communication fails during the same period, limiting telemetry feedback. Traffic includes another UAV approaching from the east, demanding separation assurance to avoid breaches.",Climb to 145 m AGL to clear obstacles and reduce gust impact,Descend to 60 m AGL to minimize wind exposure and conserve power,Hold position at current heading until GNSS returns at 260 s,"Reduce speed to 8 m/s, maintain 110 m AGL, and use lidar for avoidance","Accelerate to 15 m/s to exit spoofing zone quickly, heading 270°",Switch to camera-only navigation and descend to 50 m AGL,Follow dynamic no-fly zone edge at 130 m AGL using GNSS estimates,"[""Climb to 145 m AGL to clear obstacles and reduce gust impact"", ""Descend to 60 m AGL to minimize wind exposure and conserve power"", ""Hold position at current heading until GNSS returns at 260 s"", ""Reduce speed to 8 m/s, maintain 110 m AGL, and use lidar for avoidance"", ""Accelerate to 15 m/s to exit spoofing zone quickly, heading 270°"", ""Switch to camera-only navigation and descend to 50 m AGL"", ""Follow dynamic no-fly zone edge at 130 m AGL using GNSS estimates""]","Reducing speed improves control authority in gusts and lowers energy use while lidar compensates for GNSS loss. At 110 m AGL, it stays clear of obstacles and complies with altitude limits, balancing navigation, energy, and safety. This also allows time to detect and avoid the approaching UAV and drifting sphere." 2025-11-01T18:05:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_harbor_swarm_4d80f153fc04_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_harbor_swarm,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"With 140 Wh battery, 25% reserve, and 0.3 kg payload, which strategy maximizes inspection time within 600 seconds under wind gusts?","This is an inspection mission conducted by a swarm of three rotorcraft drones in a harbor airspace. The drones operate within a defined polygonal geofence, avoiding a cylindrical no-fly zone near the center of the area. Weather conditions include moderate wind from the south at 5 m/s with gusts up to 3 m/s, and visibility is good. Each drone is equipped with RGB and thermal cameras for visual inspection and carries a 0.3 kg payload. The swarm uses GNSS, IMU, barometer, and magnetometer for navigation, though multipath effects may occur near harbor structures. Drones must maintain a minimum separation of 5 meters from each other and 10 meters from traffic or obstacles. A moving spherical obstacle drifts westward through the area, requiring dynamic avoidance. The mission involves orbiting key waypoints at low altitude, with a total time budget of 600 seconds. Battery capacity is limited to 140 Wh, with 25% reserved for safe return to the preferred or emergency landing sites.",Fly longest path at max speed to finish early,Orbit all waypoints at 10 m altitude continuously,Reduce camera resolution to save power and shorten loitering,Disable thermal camera to extend flight by 30 seconds,Ascend to 20 m for better GNSS signal and coverage,Hover at each waypoint for full 60 seconds regardless,Increase separation to 10 m to avoid swarm interference,"[""Fly longest path at max speed to finish early"", ""Orbit all waypoints at 10 m altitude continuously"", ""Reduce camera resolution to save power and shorten loitering"", ""Disable thermal camera to extend flight by 30 seconds"", ""Ascend to 20 m for better GNSS signal and coverage"", ""Hover at each waypoint for full 60 seconds regardless"", ""Increase separation to 10 m to avoid swarm interference""]","Reducing camera resolution cuts power use, extending effective flight time while maintaining mission coverage. Shortening loiter balances energy and inspection quality. This adapts to 140 Wh capacity and 25% reserve, ensuring return within 600 seconds." 2025-11-01T18:05:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heavy_load_delivery_volcanic_snow_hexacopter_323105872ce5_mcq.json,uavbench-mcq-v1,heavy_load_delivery_volcanic_snow_hexacopter,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,Hexacopter with 2.5 kg payload must complete 4 waypoints in 600 s under 12 m/s winds and 30% battery reserve.,"This is a heavy-load delivery mission using a hexacopter in a volcanic zone with active thermal plumes and hazardous weather. The UAV operates in an airspace with a static no-fly zone at the center and a moving no-fly zone drifting slowly. Weather includes strong winds up to 12 m/s, poor visibility, snowfall, and icing conditions that temporarily reduce performance. The hexacopter carries a 2.5 kg payload with RGB and thermal cameras plus LiDAR for navigation and obstacle detection. GNSS signals are degraded due to jamming and multipath effects from the volcanic terrain. The UAV must maintain separation of at least 25 meters from other traffic and avoid collisions with a moving spherical obstacle. A communication uplink failure occurs during two brief windows, limiting remote control input. The mission requires completing a corridor of four waypoints within 600 seconds while respecting altitude and geofence constraints. Battery reserve is set to 30% to account for increased power demands from wind, icing, and payload drag.",Fly direct path at max speed to save time,Reduce LiDAR scan rate to conserve power,Ascend above thermal plumes for stable flight,Hover and wait for comms to restore,Disable RGB camera to save energy,Increase altitude to avoid moving obstacle,Use full GNSS updates every second,"[""Fly direct path at max speed to save time"", ""Reduce LiDAR scan rate to conserve power"", ""Ascend above thermal plumes for stable flight"", ""Hover and wait for comms to restore"", ""Disable RGB camera to save energy"", ""Increase altitude to avoid moving obstacle"", ""Use full GNSS updates every second""]","Reducing LiDAR scan rate cuts power use without sacrificing obstacle detection, preserving battery for wind and icing. It balances sensor needs and endurance. Other options waste energy or risk mission failure." 2025-11-01T18:05:52Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_mountain_dust_0008925fc370_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_mountain_dust,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 30m altitude in 11.5 m/s winds, the UAV detects a moving obstacle entering its 10m loiter radius—what action prioritizes safety and mission integrity?","This mission involves a point hover inspection using an octocopter UAV in mountainous terrain. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates within a confined airspace bounded by a polygonal geofence, with a maximum altitude of 120 meters AGL. A static no-fly zone cylinder is present at the center, and a smaller dynamic no-fly zone moves through the area. The mission requires orbiting around four waypoints at 30 meters altitude with a 10-meter loiter radius. Weather conditions include strong winds up to 11.5 m/s increasing with altitude, poor visibility due to dust, and wind from the southwest. GNSS signals are degraded by multipath effects and moderate jamming, with additional electromagnetic interference. The UAV must maintain separation from a moving obstacle and another UAV flying through the airspace. Communication links experience brief downlink outages during the mission. Battery endurance and sensor reliability are critical constraints under high wind and dusty conditions.",Continue orbit; obstacle is outside 5m safety buffer,"Ascend to 40m to avoid collision, maintaining loiter",Descend to 20m and proceed; winds stronger aloft,Abort mission and return to home immediately,"Hover in place, awaiting operator confirmation","Exit loiter, climb to 120m, and await clearance",Adjust orbit radius to 15m to maintain standoff distance,"[""Continue orbit; obstacle is outside 5m safety buffer"", ""Ascend to 40m to avoid collision, maintaining loiter"", ""Descend to 20m and proceed; winds stronger aloft"", ""Abort mission and return to home immediately"", ""Hover in place, awaiting operator confirmation"", ""Exit loiter, climb to 120m, and await clearance"", ""Adjust orbit radius to 15m to maintain standoff distance""]","The moving obstacle, degraded GNSS, and high winds create an unacceptable collision risk. Continuing or modifying the orbit endangers the UAV and other airspace users. Aborting ensures safety-of-life and complies with emergency prioritization under uncertain sensor data and communication outages." 2025-11-01T18:05:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heavy_load_delivery_bridge_site_hot_fixed_wing_a9f0a5e28d03_mcq.json,uavbench-mcq-v1,heavy_load_delivery_bridge_site_hot_fixed_wing,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 110m AGL, hail intensifies and a moving obstacle approaches within 20m. Wind is 14 m/s. What immediate action preserves safety and legality?","Fixed-wing UAV conducts heavy-load delivery mission near a bridge construction site. Operating in controlled low-altitude airspace with a minimum altitude of 10 meters AGL and maximum of 120 meters. Weather includes strong winds increasing with altitude, gusts, and hazardous hail. Wind shifts direction and intensifies from 8 m/s at ground to 14 m/s at 100 meters altitude. UAV is a battery-powered fixed-wing type with 5 kg payload, equipped with GNSS, IMU, lidar, and RGB camera. Mission requires use of a designated runway aligned at 210 degrees for takeoff and landing. No-fly zones include a static cylinder near the center and a moving exclusion zone drifting southwest. GNSS multipath and electromagnetic interference degrade navigation accuracy near structures. A second UAV and a moving spherical obstacle create dynamic collision risks. Communication experiences brief uplink/downlink outages, and separation from traffic must be maintained above 25 meters.",Descend to 15m AGL to avoid hail and strong winds,Continue current path to complete high-priority delivery,Ascend to 125m to clear obstacle above airspace limit,Bank sharply to intercept second UAV for coordination,Execute emergency glide toward construction site clearance,Hold position awaiting GNSS signal reacquisition,"Divert to alternate runway outside no-fly zones, descending gradually","[""Descend to 15m AGL to avoid hail and strong winds"", ""Continue current path to complete high-priority delivery"", ""Ascend to 125m to clear obstacle above airspace limit"", ""Bank sharply to intercept second UAV for coordination"", ""Execute emergency glide toward construction site clearance"", ""Hold position awaiting GNSS signal reacquisition"", ""Divert to alternate runway outside no-fly zones, descending gradually""]","Descending below 10m violates minimum altitude rules and risks collision with structures. Continuing or ascending breaches safety or airspace limits. Diverting outside no-fly zones avoids hazards, maintains separation, and prioritizes public safety over mission completion despite communication outages and wind challenges." 2025-11-01T18:05:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_hot_rural_inspection_aaeafc3ad618_mcq.json,uavbench-mcq-v1,heli_hot_rural_inspection,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 120 m AGL, 14 m/s wind from 270°, UAV detects brief GNSS loss. What action ensures mission continuity and security?","This is an inspection mission using a battery-powered helicopter UAV in rural airspace. The UAV is equipped with RGB and thermal cameras for payload, along with standard navigation sensors. The environment features moderate wind at 8 m/s from 240°, increasing to 14 m/s at higher altitudes with directional shear. The mission operates within a defined polygonal geofence with a static no-fly zone and a moving no-fly cylinder. The UAV must avoid a dynamic obstacle drifting westward and maintain separation from another UAV traveling west. Wind conditions and sensor reliability are stable, with no GNSS multipath or interference issues. Flight altitude is constrained between 10 m and 150 m AGL. Communication experiences brief loss windows but remains mostly reliable. The mission requires completing a series of waypoints with orbit patterns while managing battery reserves and avoiding all hazards.",Switch to encrypted ADS-B with inertial fallback,Descend to 10 m to reduce wind exposure,Reboot GPS module and pause waypoint navigation,Transmit unencrypted telemetry to ground station,Trust last GNSS fix and continue orbit pattern,Disable thermal camera to save battery,Accept command updates over open Wi-Fi link,"[""Switch to encrypted ADS-B with inertial fallback"", ""Descend to 10 m to reduce wind exposure"", ""Reboot GPS module and pause waypoint navigation"", ""Transmit unencrypted telemetry to ground station"", ""Trust last GNSS fix and continue orbit pattern"", ""Disable thermal camera to save battery"", ""Accept command updates over open Wi-Fi link""]","Encrypted ADS-B preserves data integrity and availability during GNSS disruption, while inertial fallback maintains control stability under wind shear. This ensures secure, continuous navigation without relying on potentially spoofed signals. Other options either introduce cyber vulnerabilities or fail to sustain resilient flight control." 2025-11-01T18:05:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heavy_load_delivery_solar_wing_warehouse_dec4669164e1_mcq.json,uavbench-mcq-v1,heavy_load_delivery_solar_wing_warehouse,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"Given 850 Wh battery, 12.5 kg mass, and 600 s time, which flight strategy balances energy, separation, and geofence limits?","This scenario involves a heavy load delivery mission using a solar-powered fixed-wing UAV inside a warehouse environment. The UAV has a total mass of 12.5 kg, including a 3.0 kg payload, and relies solely on battery power with a capacity of 850 Wh. It is equipped with GNSS, IMU, camera, lidar, and other standard sensors for navigation and obstacle detection. The indoor airspace is bounded by a polygonal geofence measuring 50x40 meters, with a maximum altitude of 15 meters AGL and a minimum of 1 meter. A cylindrical no-fly zone with a 5-meter radius is centered at (25, 20) within the warehouse, extending from floor to ceiling. Light wind conditions of 3.5 m/s from 135 degrees with gusts up to 4.2 m/s are present, though indoor airflow dynamics may reduce impact. There is a single moving obstacle—a sphere moving left at 0.5 m/s—near the center of the space, requiring dynamic avoidance. Another UAV is present in the environment, traveling westward at 2.0 m/s, introducing traffic separation concerns. The mission requires the UAV to follow a corridor pattern through three waypoints within a 600-second time budget, avoiding collisions and maintaining safe separation.","Fly at 14 m altitude, 18 m/s, direct routes","Descend to 2 m, 12 m/s, avoid no-fly zone early","Cruise at 10 m, 15 m/s, adjust for moving obstacle","Hover at waypoints, 0 m/s, await UAV passage","Climb to 15 m, 16 m/s, overfly moving sphere","Reduce speed to 8 m/s, 12 m altitude, safe margin","Accelerate to 20 m/s, 5 m altitude, save time","[""Fly at 14 m altitude, 18 m/s, direct routes"", ""Descend to 2 m, 12 m/s, avoid no-fly zone early"", ""Cruise at 10 m, 15 m/s, adjust for moving obstacle"", ""Hover at waypoints, 0 m/s, await UAV passage"", ""Climb to 15 m, 16 m/s, overfly moving sphere"", ""Reduce speed to 8 m/s, 12 m altitude, safe margin"", ""Accelerate to 20 m/s, 5 m altitude, save time""]","Flying at 8 m/s conserves energy under 850 Wh limit while maintaining control in gusts up to 4.2 m/s. 12 m altitude ensures geofence compliance, safe separation from obstacles and the other UAV, and room for maneuver. This balances aerodynamic stability, energy efficiency, navigation accuracy, and safety-critical collision avoidance within the 600-second window." 2025-11-01T18:05:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_rural_hot_41df0b7f5e98_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_rural_hot,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,F,False,"At 300s, UAV detects traffic at 22m distance, 12s time-to-closest-approach. Wind 8m/s from 240°. What action prioritizes safety?","This is an inspection mission using a quadrotor UAV in rural airspace. The UAV is equipped with RGB and thermal cameras for payload and relies on GNSS, IMU, and other standard sensors. The flight occurs in good visibility with moderate wind at 8 m/s from 240 degrees and gusts up to 4 m/s. The operational area is a 500x500 meter zone with a cylindrical no-fly zone centered at (250, 250) with a 30-meter radius and vertical limits from 5 to 60 meters AGL. The UAV must stay between 5 and 120 meters AGL and avoid geofence breaches. It starts at (50, 50, 30) and follows a waypoint orbit pattern with loitering at each point. A single traffic UAV moves westward at 10 m/s across the area. Minimum separation is set at 25 meters with a time-to-closest-approach threshold of 15 seconds for collision avoidance. The mission has a 600-second time budget and emphasizes battery endurance, with a reserve of 30% and starting energy of 450 Wh.","Continue orbit, adjust altitude by +5m",Descend to 4m AGL to exit no-fly zone,"Abort mission, return to home immediately","Hold position, reduce speed to 2m/s",Climb to 125m AGL to avoid conflict,"Execute lateral avoidance, alter heading 30° north",Loiter longer to complete inspection,"[""Continue orbit, adjust altitude by +5m"", ""Descend to 4m AGL to exit no-fly zone"", ""Abort mission, return to home immediately"", ""Hold position, reduce speed to 2m/s"", ""Climb to 125m AGL to avoid conflict"", ""Execute lateral avoidance, alter heading 30° north"", ""Loiter longer to complete inspection""]","The UAV is below minimum separation distance and within critical time threshold, requiring immediate avoidance. Climbing, descending, or holding violates vertical or spatial constraints. Lateral avoidance maintains mission progress while safely resolving proximity risk without breaching geofence or endangering traffic." 2025-11-01T18:05:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_bridge_site_fog_4395e7762b6a_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_bridge_site_fog,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"How should the UAV adjust its loitering altitude and speed at 80m with 11 m/s winds, icing, and GNSS degradation?","This UAV mission involves a bridge site inspection using a convertiplane UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place in a confined airspace near a bridge, bounded by a polygonal geofence and including both static and moving no-fly zones. Weather conditions are challenging, with poor visibility due to fog, icing conditions, and moderate winds that increase with altitude, reaching 11 m/s at 100 meters. The UAV must maintain separation from a dynamic obstacle and another UAV on a crossing path, with a minimum separation threshold of 25 meters. GNSS signals are degraded due to multipath effects, jamming at -75 dBm, and electromagnetic interference, complicating navigation. The mission requires the UAV to perform a loitering orbit pattern around key waypoints, transitioning between vertical and fixed-wing flight, with a required runway-aligned takeoff and landing. An icing event occurs mid-mission, reducing performance for 60 seconds, and brief communication dropouts are expected at 200 and 450 seconds. Battery capacity is limited, with a reserve of 30% enforced, demanding efficient energy use over the 10-minute time budget. The UAV must avoid collisions, respect altitude and geofence limits, and complete the inspection despite sensor and environmental challenges. Success is measured by mission completion, battery level, separation margins, and adherence to safety constraints.",Climb to 100m for smoother airflow and better GNSS reception,Descend to 60m to reduce wind exposure and icing risk,Maintain 80m with increased forward speed to counteract wind drift,Hover in place using VTOL mode to ensure positional accuracy,Reduce loiter radius and airspeed to conserve battery and maintain control,Ascend to 90m and switch to full fixed-wing mode for energy efficiency,Exit loiter immediately and proceed to landing to avoid risks,"[""Climb to 100m for smoother airflow and better GNSS reception"", ""Descend to 60m to reduce wind exposure and icing risk"", ""Maintain 80m with increased forward speed to counteract wind drift"", ""Hover in place using VTOL mode to ensure positional accuracy"", ""Reduce loiter radius and airspeed to conserve battery and maintain control"", ""Ascend to 90m and switch to full fixed-wing mode for energy efficiency"", ""Exit loiter immediately and proceed to landing to avoid risks""]",Reducing loiter radius and airspeed balances energy conservation with control stability in degraded GNSS and high winds. It avoids excessive climb thrust demands during icing while maintaining separation and staying within geofence limits. This preserves battery for contingency and respects the 30% reserve under time-constrained inspection requirements. 2025-11-01T18:05:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_harbor_hexacopter_fd8e80382cd7_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_harbor_hexacopter,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"How should the UAV respond to GNSS degradation near (100, 75) while avoiding a drifting obstacle at 40m altitude?","This is an inspection mission using a battery-powered hexacopter equipped with RGB and thermal cameras, LIDAR, and standard navigation sensors. The operation takes place in a harbor airspace with good visibility but features strong winds from the southwest and a risk of microbursts. The UAV must navigate within a defined polygonal airspace bounded between 5 and 120 meters AGL, avoiding a cylindrical no-fly zone centered at (100, 75) with a 20-meter radius and vertical limits from 10 to 60 meters. The mission involves orbiting key waypoints at 40 meters altitude with a 10-meter loiter radius, starting near the edge of the area at (10, 10, 30). A moving spherical obstacle drifts eastward at 3 m/s near one of the waypoints, requiring dynamic avoidance. Another UAV is present in the airspace, traveling east at 12 m/s, necessitating separation monitoring with a 25-meter minimum distance threshold. The hexacopter carries a 0.7 kg payload and must manage battery reserves carefully, with a 30% reserve required and energy consumption affected by drag and maneuvering. GNSS signals may be degraded due to harbor structures causing multipath interference, complicating precise positioning near obstacles. The mission must be completed within 600 seconds, returning to the preferred landing site at (10, 10) unless an emergency requires diversion.",Rely solely on GNSS and increase update rate,Switch to LIDAR-aided inertial navigation with sensor fusion,Hover in place until GNSS signal strength improves,Descend to 5m AGL to reduce wind interference,Transmit unencrypted position updates every 0.5s,Disable thermal camera to save power for GPS,Accept spoofed GNSS fixes with low authentication,"[""Rely solely on GNSS and increase update rate"", ""Switch to LIDAR-aided inertial navigation with sensor fusion"", ""Hover in place until GNSS signal strength improves"", ""Descend to 5m AGL to reduce wind interference"", ""Transmit unencrypted position updates every 0.5s"", ""Disable thermal camera to save power for GPS"", ""Accept spoofed GNSS fixes with low authentication""]","B maintains navigation integrity by fusing LIDAR with inertial data when GNSS is unreliable, preserving control stability and obstacle avoidance. It ensures confidentiality and integrity via authenticated sensor fusion, resisting spoofing. Other options either ignore cyber-physical risks or degrade safety during critical phases." 2025-11-01T18:05:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_jungle_hot_52781fe8ad0e_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_jungle_hot,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 120 m AGL, 8.5 m/s SW wind and 4.2 m/s gusts, what airspeed adjustment ensures stable loiter at 10 m radius orbit?","This is an inspection mission using a battery-powered amphibious UAV equipped with RGB and thermal cameras, LIDAR, and standard navigation sensors. The operation takes place in a jungle environment with good visibility but strong winds from the southwest at 8.5 m/s and gusts up to 4.2 m/s. The UAV must navigate within a defined airspace corridor between 5 m and 120 m AGL, avoiding a cylindrical no-fly zone centered at (100, 75) with a 20 m radius and 30 m ceiling. The mission involves flying to multiple waypoints and performing orbit-style loitering with a 10 m radius for detailed point inspection. A moving spherical obstacle drifts leftward at 1.5 m/s near one of the waypoints, requiring dynamic avoidance. The UAV spawns at (10, 10, 10) and must eventually return to land at the designated site near the runway threshold, with an emergency landing option available. A second UAV is present in the airspace, entering from the southeast and traveling westward, necessitating separation monitoring. The detect-and-avoid system enforces a 25 m separation threshold and 20 s time-to-closest-approach limit. GNSS signals may suffer from multipath interference due to dense canopy and terrain, complicating positioning. The mission is constrained by a 600-second time budget and must respect geofencing, battery reserves, and safe separation throughout.",Increase airspeed by 3 m/s to counteract gust-induced lift fluctuations,Decrease airspeed to 9 m/s to minimize drag in tight orbit,Maintain 12 m/s with 15° bank to balance centripetal and lift forces,Reduce throttle to idle and descend for better wind penetration,Pitch up 10° abruptly to increase angle of attack and lift,Fly at 8 m/s with 30° bank to tighten orbit radius beyond limits,Turn downwind at 14 m/s to exploit tailwind for energy efficiency,"[""Increase airspeed by 3 m/s to counteract gust-induced lift fluctuations"", ""Decrease airspeed to 9 m/s to minimize drag in tight orbit"", ""Maintain 12 m/s with 15° bank to balance centripetal and lift forces"", ""Reduce throttle to idle and descend for better wind penetration"", ""Pitch up 10° abruptly to increase angle of attack and lift"", ""Fly at 8 m/s with 30° bank to tighten orbit radius beyond limits"", ""Turn downwind at 14 m/s to exploit tailwind for energy efficiency""]","Maintaining 12 m/s with a 15° bank angle ensures sufficient lift to provide the centripetal force for a 10 m radius orbit without exceeding stall margin or critical angle of attack. The 8.5 m/s wind and gusts require stable airspeed control to avoid dynamic pressure fluctuations; this setting balances load factor and aerodynamic efficiency. Other choices either induce stall, exceed structural or aerodynamic limits, or disrupt wind-relative flight path control." 2025-11-01T18:05:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_harbor_hail_glider_3691ad198628_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_harbor_hail_glider,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"How should the UAV adapt navigation during 60s icing, 8.5 m/s winds, and GNSS multipath in poor visibility?","The mission is an inspection using a fixed-wing glider UAV equipped with an RGB camera, operating in a harbor airspace. The glider must navigate a predefined orbit pattern around multiple waypoints while avoiding a central cylindrical no-fly zone. Weather conditions include strong 8.5 m/s winds from 240°, gusts up to 4.5 m/s, poor visibility, and hail, increasing flight risks. An icing event occurs mid-mission, reducing aerodynamic efficiency for 60 seconds. The UAV spawns at (10, 10, 30) and must maintain altitudes between 10 and 150 m AGL within a rectangular geofenced area. A moving spherical obstacle drifts westward at 2 m/s near one waypoint, requiring dynamic path adjustments. Another UAV is present, flying at constant speed and heading, necessitating separation monitoring with a 25 m minimum. The glider must return and land on a designated runway, which influences approach planning. Communication experiences a brief 10-second downlink loss, and GNSS performance may suffer due to harbor multipath effects. Battery reserves are set to 30%, and energy management is critical due to high wind and drag impacts.",Rely solely on GNSS and preloaded waypoints,Switch to full manual control via degraded downlink,Use IMU-visual odometry fusion with wind-compensated path planning,Descend immediately to avoid hail and icing risks,"Halt orbit, hover using GPS hold despite drift",Follow constant heading ignoring moving obstacle,Prioritize battery over collision avoidance,"[""Rely solely on GNSS and preloaded waypoints"", ""Switch to full manual control via degraded downlink"", ""Use IMU-visual odometry fusion with wind-compensated path planning"", ""Descend immediately to avoid hail and icing risks"", ""Halt orbit, hover using GPS hold despite drift"", ""Follow constant heading ignoring moving obstacle"", ""Prioritize battery over collision avoidance""]","IMU-visual fusion compensates for GNSS multipath and brief downlink loss, maintaining localization in poor visibility. Wind compensation accounts for 8.5 m/s drift and gusts, ensuring orbit integrity during icing-induced drag. This strategy preserves energy and avoids dynamic obstacles without over-relying on degraded signals." 2025-11-01T18:05:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_industrial_plant_dust_3568e66ae19a_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_industrial_plant_dust,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,G,False,"Given 6.5 m/s winds, dusty visibility, and potential GNSS degradation, which navigation strategy ensures stable orbit at 8m radius?","This mission involves a helicopter UAV conducting an inspection at an industrial plant. The UAV operates within a defined polygon airspace with a maximum altitude of 80 meters AGL. Dusty conditions and poor visibility create challenging visual and sensor environments, with winds at 6.5 m/s from 240 degrees and gusts up to 3.2 m/s. The UAV is equipped with RGB and thermal cameras, LIDAR, and standard navigation sensors for data collection. A no-fly zone cylinder is present near the center of the area, requiring careful path planning. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV in the airspace. The mission requires hovering in orbit patterns around key waypoints with loiter radius of 8 meters. Battery endurance is limited, with 30% reserve required, and GNSS signal may be degraded due to industrial structures. The UAV spawns at 20 meters altitude and must return to a preferred landing site near the start. Overall, the flight demands precise hover control, sensor management, and obstacle avoidance in a constrained, dynamic environment.",Rely solely on GNSS for position hold,Use optical flow with RGB for drift correction,Fuse LIDAR with degraded GNSS despite signal noise,Depend on IMU-only during visual obscuration,Switch to thermal-visual SLAM in low visibility,Prioritize LIDAR over dynamic obstacle updates,Combine visual-inertial fusion with LIDAR aiding,"[""Rely solely on GNSS for position hold"", ""Use optical flow with RGB for drift correction"", ""Fuse LIDAR with degraded GNSS despite signal noise"", ""Depend on IMU-only during visual obscuration"", ""Switch to thermal-visual SLAM in low visibility"", ""Prioritize LIDAR over dynamic obstacle updates"", ""Combine visual-inertial fusion with LIDAR aiding""]","Visual-inertial fusion compensates for GNSS degradation and dust-induced visual noise, while LIDAR provides sparse but reliable structural cues. This triad maintains localization accuracy and orbit integrity under wind disturbances. Other options fail due to drift, occlusion, or over-reliance on compromised signals." 2025-11-01T18:05:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_urban_icing_a38df1560380_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_urban_icing,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"With icing reducing efficiency and 15 m/s winds, which strategy maximizes inspection completion while ensuring return on remaining battery?","This UAV mission is an urban inspection using a VTOL tiltrotor drone equipped with RGB camera and LiDAR payload. The operation takes place in a dense urban canyon environment with tall buildings creating confined airspace. Weather conditions include strong winds up to 15 m/s at altitude, poor visibility, and active icing conditions that impact performance. The drone must navigate within strict geofenced boundaries and avoid a cylindrical no-fly zone near the center of the area. GNSS signals are degraded due to multipath effects and moderate jamming, while electromagnetic interference adds sensor challenges. The mission involves transitioning between hover and forward flight to inspect multiple waypoints in an orbit pattern, requiring precise control near obstacles. A single traffic UAV and a moving spherical obstacle add dynamic collision risks. The drone must maintain safe separation of at least 25 meters and comply with DAA thresholds for time-to-closest approach. Battery reserves are critical due to high power demands from wind and icing, with an icing fault event reducing efficiency mid-mission. The UAV must return and land using a designated runway approach, constrained by altitude and location limits.",Increase speed to reduce exposure to wind,Descend to lower altitudes for shelter from wind,Skip distant waypoints to conserve energy,Use full LiDAR resolution for all scans,Circle each waypoint multiple times for accuracy,Maintain hover longer for stable imaging,Reduce LiDAR pulse rate and shorten orbit radius,"[""Increase speed to reduce exposure to wind"", ""Descend to lower altitudes for shelter from wind"", ""Skip distant waypoints to conserve energy"", ""Use full LiDAR resolution for all scans"", ""Circle each waypoint multiple times for accuracy"", ""Maintain hover longer for stable imaging"", ""Reduce LiDAR pulse rate and shorten orbit radius""]","Reducing LiDAR pulse rate lowers power consumption, while a tighter orbit minimizes flight time and wind resistance. This balances sensor utility and energy savings, preserving battery for return despite icing losses." 2025-11-01T18:05:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_warehouse_7a51e3568e32_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_warehouse,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,A,False,"Given 20m×15m airspace, 2.0m obstacle separation, and 30% battery reserve, which loiter strategy maximizes inspection time within 600 seconds?","This UAV mission is an indoor warehouse inspection using a hexacopter equipped with RGB camera and LIDAR payload. The flight occurs in a confined polygonal airspace measuring 20m by 15m with a minimum altitude of 0.5m and maximum of 5m AGL. A central cylindrical no-fly zone with a 2.0m radius restricts access around the center point. The hexacopter starts at position (2.0, 2.0, 1.5) and must inspect multiple waypoints, orbiting each with a 1.0m loiter radius. Weather conditions include light wind from 135° at 2.0 m/s with gusts up to 1.5 m/s and poor visibility due to fog. GNSS signals may suffer from multipath interference typical in indoor metallic environments, though the UAV carries GNSS, IMU, barometer, and magnetometer for navigation. Battery capacity is 320 Wh with a 30% reserve required, and energy use is modeled with a hover power of 105.8 W. The UAV must maintain a minimum separation of 2.0m from obstacles and avoid geofence or altitude violations. Mission success depends on completing the inspection within 600 seconds while adhering to all constraints.","Orbit clockwise at 1.0m radius, altitude 1.5m",Hover with 0.5m radius to reduce energy use,Increase loiter radius to 1.5m for smoother turns,Descend to 0.6m to improve LIDAR resolution,Extend loiter time by reducing altitude to 1.0m,Loiter counterclockwise at 2.5m radius to avoid wind drift,Skip one waypoint to conserve energy for later,"[""Orbit clockwise at 1.0m radius, altitude 1.5m"", ""Hover with 0.5m radius to reduce energy use"", ""Increase loiter radius to 1.5m for smoother turns"", ""Descend to 0.6m to improve LIDAR resolution"", ""Extend loiter time by reducing altitude to 1.0m"", ""Loiter counterclockwise at 2.5m radius to avoid wind drift"", ""Skip one waypoint to conserve energy for later""]","Option A maintains the required 1.0m loiter radius and safe altitude of 1.5m, ensuring compliance with inspection precision and obstacle clearance. It balances energy use and timing within the 600-second window while avoiding the central no-fly zone and maintaining system stability in wind gusts. Other options either violate separation, increase risk, or degrade coordination efficiency." 2025-11-01T18:05:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_wind_farm_2426731e1053_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_wind_farm,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,A,False,"Given 8 m/s west wind and a 25m separation rule, which path safely sequences three turbine inspections within 600s while avoiding the central 20m-radius no-fly zone?","This UAV mission involves inspecting a wind farm using an amphibious rotorcraft UAV equipped with RGB and thermal cameras, as well as LIDAR and GNSS/IMU navigation sensors. The operation takes place in a defined rectangular airspace containing multiple wind turbines and a cylindrical no-fly zone around a central turbine. Weather conditions include a steady 8 m/s wind from the west with gusts up to 4 m/s, posing challenges for stable hover and control. The UAV must perform point inspections by orbiting each waypoint at low altitude while maintaining visual and thermal coverage of turbine structures. A key constraint is avoiding the no-fly cylinder with a 20-meter radius and 60-meter ceiling located near the center of the site. The UAV starts near a designated runway threshold and must remain within 5 to 120 meters AGL while adhering to a 25-meter separation from other traffic. Another UAV is present, moving through the airspace at 15 m/s, requiring detect-and-avoid compliance with a 25-meter separation threshold. The mission allows 600 seconds to complete three inspection waypoints with loiter patterns set at a 10-meter radius. Battery capacity is limited to 1200 Wh, with high hover power consumption requiring efficient routing to preserve reserve margins. The scenario emphasizes precision flying in a cluttered, windy environment while managing sensor payload, energy use, and airspace constraints.","Loiter clockwise at 15m AGL, starting eastmost turbine","Fly direct west-to-east, descending into no-fly cylinder","Stagger loiter entries with 10s delays, counterclockwise orbits",Hover at 5m AGL near central turbine for thermal focus,Increase speed to 20 m/s to reduce wind drift exposure,Cluster all loiters at 120m AGL to ease coordination,Sync orbits to cross north side simultaneously with other UAV,"[""Loiter clockwise at 15m AGL, starting eastmost turbine"", ""Fly direct west-to-east, descending into no-fly cylinder"", ""Stagger loiter entries with 10s delays, counterclockwise orbits"", ""Hover at 5m AGL near central turbine for thermal focus"", ""Increase speed to 20 m/s to reduce wind drift exposure"", ""Cluster all loiters at 120m AGL to ease coordination"", ""Sync orbits to cross north side simultaneously with other UAV""]","A ensures safe, wind-optimized sequencing by starting farthest downwind, reducing hover time in high-drift zones. It maintains 25m separation by avoiding concurrent occupancy near the central zone. Clockwise loiters at 15m AGL comply with altitude and coverage needs while preserving energy for return." 2025-11-01T18:05:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_mountain_lowvis_fb30c8f753e6_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_mountain_lowvis,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"During GNSS degradation with 12 m/s wind shear and 70% efficiency loss, which navigation strategy maintains position within 25 m separation?","The mission is an inspection task conducted in mountainous terrain using a convertiplane UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The UAV operates within a 50–300 m AGL altitude band, bounded by a polygonal geofence and two no-fly zones, one static and one moving. Weather conditions include strong winds up to 12 m/s, wind shear with altitude, poor visibility, and icing conditions that impact performance. The UAV must navigate GNSS signal degradation due to multipath and moderate jamming, along with electromagnetic interference affecting avionics. The flight plan involves transitioning from hover to forward flight, inspecting three waypoints in an orbit pattern with a 15 m radius, and returning for a runway landing. A dynamic obstacle moves through the airspace at low speed, requiring real-time avoidance, while a second UAV traffic agent crosses the area. Thermal updrafts near the center of the map may influence flight dynamics, and a comms loss window occurs mid-mission. An icing fault event reduces UAV efficiency by 70% for one minute, increasing power demand and reducing lift. Strict separation standards of 25 m and 30 s time-to-collision are enforced to avoid conflicts. The scenario emphasizes robust navigation, energy management, and fault resilience under adverse environmental and operational constraints.",Prioritize GNSS with LiDAR altitude hold,Use IMU-visual fusion with thermal updraft correction,Rely solely on LiDAR in poor visibility,Increase reliance on magnetometer during EMI,Disable sensor fusion to reduce processing lag,Trust dead reckoning during comms loss,Switch to RGB-optical flow in low visibility,"[""Prioritize GNSS with LiDAR altitude hold"", ""Use IMU-visual fusion with thermal updraft correction"", ""Rely solely on LiDAR in poor visibility"", ""Increase reliance on magnetometer during EMI"", ""Disable sensor fusion to reduce processing lag"", ""Trust dead reckoning during comms loss"", ""Switch to RGB-optical flow in low visibility""]","IMU-visual fusion compensates for GNSS multipath and jamming by leveraging camera and inertial data, while thermal updraft awareness aids energy-aware path correction. This maintains localization integrity despite wind shear and icing-induced lift loss. Other options fail due to sensor vulnerability or environmental misjudgment." 2025-11-01T18:05:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_wind_farm_hot_swarm_0c1e618ac451_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_wind_farm_hot_swarm,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During GNSS jamming and wind gusts up to 13.5 m/s, how should drones maintain position and separation using sensor fusion?","Swarm of four rotorcraft drones conducts a wind farm inspection mission using orbit patterns around key structures. The mission takes place in a confined airspace with static and moving no-fly zones, bounded between 10 and 120 meters AGL. Strong winds up to 13.5 m/s increase with altitude and shift direction, complicating station-keeping and energy management. Weather hazards include hail and lightning risk, requiring rapid mission completion within the 600-second time budget. Each drone is equipped with RGB and thermal cameras, LiDAR, and full navigation sensors, but faces GNSS multipath and jamming. The swarm must maintain minimum 8-meter inter-drone separation while avoiding dynamic obstacles and a drifting no-fly zone. A concurrent UAV traffic agent crosses the airspace at 12 m/s, requiring DAA compliance with 25-meter separation thresholds. Battery endurance is critical, with high hover power demands exacerbated by wind and payload drag. Two faults are injected: a 30-second GNSS jamming event and a partial motor failure lasting 15 seconds. Communication dropouts occur twice during critical phases, testing autonomous resilience and relay coordination within the swarm.",Rely solely on GNSS with last-known position hold,Switch to LiDAR-only obstacle avoidance and hover,Use IMU-visual-inertial fusion with wind-compensated EKF,Descend to 10 m AGL to reduce wind exposure,Increase orbit radius using thermal camera tracking,Match speed to traffic agent using RGB flow,Broadcast position fixes via intermittent radio links,"[""Rely solely on GNSS with last-known position hold"", ""Switch to LiDAR-only obstacle avoidance and hover"", ""Use IMU-visual-inertial fusion with wind-compensated EKF"", ""Descend to 10 m AGL to reduce wind exposure"", ""Increase orbit radius using thermal camera tracking"", ""Match speed to traffic agent using RGB flow"", ""Broadcast position fixes via intermittent radio links""]",IMU-visual-inertial fusion provides continuous state estimation during GNSS outages by combining camera and inertial data with LiDAR-aided terrain referencing. A wind-compensated EKF corrects for drift caused by 13.5 m/s shifting winds and motor faults. This method maintains 8-meter separation and navigation integrity despite jamming and multipath. 2025-11-01T18:05:53Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_wind_farm_gusts_f0b82826e64d_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_wind_farm_gusts,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which swarm configuration best balances obstacle avoidance, GNSS resilience, and 8 m separation under 8.5 m/s winds and signal outages?","This scenario involves a swarm UAV inspection mission within a wind farm environment. The airspace is constrained by static and moving no-fly zones, including a dynamic cylinder obstacle shifting at 2.2 m/s. Operations occur between 5 m and 120 m AGL with moderate wind at 8.5 m/s from 240° and gusts up to 4.2 m/s. Four rotorcraft drones, each with RGB and thermal cameras plus LiDAR, form a coordinated swarm for visual and thermal inspection. The UAVs must maintain 8 m minimum separation while navigating around turbines and avoiding both geofenced and moving obstacles. Key constraints include GNSS signal reliability near turbines due to potential multipath interference. Communication experiences brief downlink outages between 120–130 s and 400–415 s with minimum RSSI at -85 dBm. The mission requires orbiting key waypoints within a 600-second time budget, starting from a hover at 10 m altitude. Success depends on battery endurance, obstacle avoidance, and maintaining safe separation from both static and dynamic traffic.",Centralized control with single RTK-GPS backup,Decentralized MPC with UWB relative navigation,Leader-follower with visual odometry only,GPS-only swarm with 5 Hz update filtering,LiDAR-coupled IMU dead reckoning every 30 s,Optical flow with barometric altitude hold,Pure GNSS waypoints with collision avoidance alerts,"[""Centralized control with single RTK-GPS backup"", ""Decentralized MPC with UWB relative navigation"", ""Leader-follower with visual odometry only"", ""GPS-only swarm with 5 Hz update filtering"", ""LiDAR-coupled IMU dead reckoning every 30 s"", ""Optical flow with barometric altitude hold"", ""Pure GNSS waypoints with collision avoidance alerts""]","Decentralized MPC enables adaptive replanning during GNSS outages and dynamic obstacles, while UWB maintains precise relative spacing despite multipath. It outperforms others in reliability under -85 dBm RSSI and 2.2 m/s moving obstacles. Other systems fail in至少one: GPS-only (D,G) lack resilience, visual odometry (C) drifts, optical flow (F) falters in wind, and centralized (A) creates single-point failure." 2025-11-01T18:05:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_offshore_glider_cold_c2e2b1b417b2_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_offshore_glider_cold,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During icing at 11.5 m/s winds and GNSS degradation, how should the UAV maintain navigation integrity within 10–120 m AGL?","This UAV mission is an offshore inspection using a fixed-wing glider equipped with RGB and thermal cameras. The operation takes place near an offshore platform with a defined polygonal airspace boundary and strict altitude limits between 10 and 120 meters AGL. Weather includes strong westerly winds up to 11.5 m/s at 100 meters, gusts, and icing conditions that activate mid-mission. The glider relies on battery power and must manage energy carefully due to wind shear and thermal updrafts near the platform. GNSS signals are degraded by multipath effects and electromagnetic interference, complicating navigation accuracy. A static no-fly zone protects the central platform area, while a moving no-fly zone and dynamic obstacle simulate traffic and hazards. The mission requires runway-assisted takeoff and landing, with designated emergency landing sites outside the main zone. Another UAV transits the airspace westbound, requiring separation maintenance below 25 meters threshold. The scenario includes a temporary comms loss window and an icing fault event lasting one minute at moderate severity. Success depends on completing the inspection corridor within 10 minutes while avoiding collisions, preserving battery, and adhering to all airspace constraints.",Switch to encrypted INS with authenticated terrain correlation updates,Rely solely on unencrypted GNSS with last-known position hold,Descend to 5 m AGL to avoid wind shear and icing effects,Increase control loop frequency using unverified sensor fusion,Transmit unencrypted telemetry to ground for manual override,Use open-loop actuation based on pre-flight thermal updraft models,Maintain course via raw GNSS despite multipath and interference,"[""Switch to encrypted INS with authenticated terrain correlation updates"", ""Rely solely on unencrypted GNSS with last-known position hold"", ""Descend to 5 m AGL to avoid wind shear and icing effects"", ""Increase control loop frequency using unverified sensor fusion"", ""Transmit unencrypted telemetry to ground for manual override"", ""Use open-loop actuation based on pre-flight thermal updraft models"", ""Maintain course via raw GNSS despite multipath and interference""]","Encrypted INS with authenticated updates preserves data integrity and availability during GNSS spoofing or jamming. It ensures control stability by fusing trusted inertial and terrain data without exposing telemetry. This enables safe, autonomous operation within altitude and obstacle constraints despite environmental and cyber stresses." 2025-11-01T18:05:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_rain_hexacopter_58bc66e4a1b0_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_rain_hexacopter,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,F,False,"At 210s, UAV faces 10 m/s winds, weak GNSS, and 25m separation from westbound UAV at 12 m/s. How to proceed with 40% battery?","This is an inspection mission using a battery-powered hexacopter equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The UAV operates within a powerline corridor with a defined polygonal geofence and both static and moving no-fly zones. The flight occurs in poor visibility due to rain, with strong winds up to 10 m/s increasing with altitude and significant gusts. GNSS signals are degraded by multipath effects and moderate jamming, while electromagnetic interference is present. The hexacopter must navigate between four waypoints at altitudes between 10–60 m AGL while avoiding a cylindrical NFZ near a power structure and a moving obstacle drifting eastward. A second UAV travels westward through the airspace at 12 m/s, requiring separation maintenance of at least 25 meters and a time-to-closest-approach threshold of 30 seconds. Communication includes periodic downlink outages between 120–140s and 300–330s, with weak RSSI. The mission has a 600-second time budget and must end at a preferred landing site, with battery reserve set to 30%. The UAV begins at the southeast corner of the corridor and must manage energy carefully under increased drag and wind resistance while performing close-proximity hovering inspections.",Climb to 60 m for clearer GNSS and avoid interference,Descend to 10 m AGL to reduce wind exposure and save power,Hover at current altitude until second UAV passes 30s later,Accelerate west to match speed and minimize encounter time,Divert north outside corridor to reposition safely,Reduce speed slightly and descend to 25 m for stability,Maintain course and altitude using optical flow override,"[""Climb to 60 m for clearer GNSS and avoid interference"", ""Descend to 10 m AGL to reduce wind exposure and save power"", ""Hover at current altitude until second UAV passes 30s later"", ""Accelerate west to match speed and minimize encounter time"", ""Divert north outside corridor to reposition safely"", ""Reduce speed slightly and descend to 25 m for stability"", ""Maintain course and altitude using optical flow override""]","Descending slightly reduces wind-induced drag and improves control in degraded GNSS. Reducing speed conserves energy while maintaining separation margin. This balances aerodynamics, navigation reliability, and collision avoidance under communication constraints." 2025-11-01T18:05:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_rain_hexacopter_d17e9b8ab7bd_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_rain_hexacopter,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 30m altitude with 9.2 m/s winds and icing, how should the hexacopter adjust its loiter orbit to balance energy, stability, and obstacle avoidance during GNSS dropouts?","This is an inspection mission using a battery-powered hexacopter equipped with RGB and thermal cameras, lidar, and standard navigation sensors. The UAV operates near an airport perimeter within a defined polygonal airspace, avoiding static and dynamic no-fly zones. Weather conditions include steady rain, poor visibility, and icing risks, with winds increasing up to 9.2 m/s at higher altitudes. The hexacopter must perform a loitering orbit pattern around four waypoints at 30 meters altitude while avoiding a moving obstacle and a dynamic no-fly cylinder. GNSS signals are degraded due to multipath effects and moderate jamming, and electromagnetic interference is present. The UAV must maintain separation from other air traffic, including an incoming UAV near the runway area. A simulated icing event occurs mid-mission, reducing performance for two minutes. Communication dropouts are expected between 300–315 and 600–620 seconds. Constraints include strict geofencing, altitude limits between 5 and 120 meters AGL, and reserved battery capacity for safe return.",Increase speed to reduce exposure to wind gusts,Descend to 15m to escape icing and save battery,Maintain orbit radius but reduce speed during GNSS loss,Climb to 100m for clearer GNSS and thermal imaging,Hover at reduced throttle to conserve energy,Expand orbit radius to increase obstacle separation margin,Execute immediate return-to-home on first signal loss,"[""Increase speed to reduce exposure to wind gusts"", ""Descend to 15m to escape icing and save battery"", ""Maintain orbit radius but reduce speed during GNSS loss"", ""Climb to 100m for clearer GNSS and thermal imaging"", ""Hover at reduced throttle to conserve energy"", ""Expand orbit radius to increase obstacle separation margin"", ""Execute immediate return-to-home on first signal loss""]","Reducing speed during GNSS dropouts improves control stability under degraded navigation and conserves energy, while maintaining orbit radius ensures mission coverage and separation. It avoids unsafe descent into restricted zones, excessive climb into stronger winds, or premature abort, balancing aerodynamic, navigational, and safety constraints under icing and communication loss." 2025-11-01T18:05:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_urban_dust_cc2ef06b0c5d_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_urban_dust,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"Inspect 4 urban waypoints at 40m AGL with 30% battery reserve, moderate SE winds, and a moving obstacle; what is optimal?","This is an urban inspection mission using a battery-powered quadrotor UAV equipped with RGB camera and LiDAR payload. The flight occurs in a dense urban airspace with a defined polygonal geofence and a cylindrical no-fly zone near the center. Weather conditions include moderate wind from the southeast, gusts, and poor visibility due to dust, which may affect sensors and flight stability. The UAV must inspect multiple waypoints by orbiting each at low altitude while avoiding obstacles and maintaining line-of-sight. A moving spherical obstacle traverses the area, requiring real-time detection and avoidance. The UAV operates under strict separation and time-to-collision thresholds for detect-and-avoid compliance. GNSS multipath effects are likely due to surrounding structures, impacting positioning accuracy. The mission emphasizes battery conservation with a 30% reserve requirement and limited time budget. Landing is planned at the spawn point, with an emergency site available elsewhere in the zone.",Fly direct at 60m AGL to save time and battery,Descend to 30m AGL to reduce wind exposure and drift,"Orbit all points at 40m AGL as planned, upwind first",Delay launch until visibility improves above 1km,Fly clockwise spirals at 50m AGL to avoid multipath,Abort mission and return to emergency landing site,Skip two waypoints to conserve battery for reserve,"[""Fly direct at 60m AGL to save time and battery"", ""Descend to 30m AGL to reduce wind exposure and drift"", ""Orbit all points at 40m AGL as planned, upwind first"", ""Delay launch until visibility improves above 1km"", ""Fly clockwise spirals at 50m AGL to avoid multipath"", ""Abort mission and return to emergency landing site"", ""Skip two waypoints to conserve battery for reserve""]","Flying at the planned 40m AGL balances obstacle clearance, sensor performance, and wind impact while maintaining VLOS and geofence compliance. It sequences upwind waypoints first to reduce drift-induced control effort and collision risk from the moving obstacle. Other options either increase risk, violate altitude or battery constraints, or reduce mission effectiveness unnecessarily." 2025-11-01T18:05:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/helicopter_lost_link_rtl_airport_092745733290_mcq.json,uavbench-mcq-v1,helicopter_lost_link_rtl_airport,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"At 310s, UAV must adjust path to avoid moving obstacle at (400,100,75) moving west at 5 m/s while coordinating with another UAV at 25 m/s from (700,100,120).","Helicopter UAV conducts an inspection mission near airport perimeter airspace. Mission involves flying a corridor pattern across four waypoints within 600 seconds. UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors. Weather includes 6 m/s winds from the west with 3 m/s gusts and good visibility. A no-fly zone cylinder is present at center (400,300) with 50m radius and 200m ceiling. Geofenced area spans 800x600 meters with altitude limits from 10m to 450m AGL. Runway threshold located at (750,300,10) with 270-degree heading and 400m length. Lost communication fault triggers at 320 seconds, lasting one minute, forcing RTL. Another UAV flies at 25 m/s from (700,100,120) with 180-degree heading. A moving spherical obstacle travels westward at 5 m/s starting from (400,100,75).",Climb to 120m and proceed directly to next waypoint,Descend to 60m and maintain current heading,Delay ascent until 330s to sync with other UAV,"Divert north, increase speed to 18 m/s, then resume course",Hold position at 75m until obstacle clears 100m radius,Turn south immediately to avoid conflict zone,Match obstacle speed and drift westward passively,"[""Climb to 120m and proceed directly to next waypoint"", ""Descend to 60m and maintain current heading"", ""Delay ascent until 330s to sync with other UAV"", ""Divert north, increase speed to 18 m/s, then resume course"", ""Hold position at 75m until obstacle clears 100m radius"", ""Turn south immediately to avoid conflict zone"", ""Match obstacle speed and drift westward passively""]","Option D ensures safe lateral separation from the moving obstacle while adjusting speed to avoid converging with the second UAV. It maintains mission timing by resuming course quickly and preserves communication windows. Other options either cause collision risks, violate RTL prep, or disrupt inter-UAV spacing." 2025-11-01T18:05:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_volcanic_hail_e38e31678da2_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_volcanic_hail,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,GNSS degrades for 30s near no-fly cylinder; hail reduces visibility to 100m. What action prioritizes safety?,"This UAV mission involves a hexacopter conducting an inspection in a volcanic zone with active hail and poor visibility. The aircraft is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates within a defined polygonal airspace with a no-fly cylinder near the center of the area. The hexacopter must orbit key waypoints while avoiding a moving spherical obstacle and maintaining separation from other traffic. Strong winds from the southwest and gusts add flight challenges. A GNSS jamming fault occurs mid-mission, degrading positioning for 30 seconds. Communication downlink fails intermittently during two critical windows. Battery capacity limits flight time, with a reserve set at 30% for safe return. The UAV must loiter at specific altitudes while managing energy use and sensor data under harsh weather. Mission success depends on avoiding collisions, geofence breaches, and maintaining minimum separation and link quality.",Continue orbit using last known GPS fix,Ascend 50m to improve GNSS signal quality,Descend rapidly to avoid moving obstacle,Abort mission and return immediately,Loiter in place using LiDAR and inertial nav,Fly direct through no-fly zone to exit fast,Request override to bypass geofence,"[""Continue orbit using last known GPS fix"", ""Ascend 50m to improve GNSS signal quality"", ""Descend rapidly to avoid moving obstacle"", ""Abort mission and return immediately"", ""Loiter in place using LiDAR and inertial nav"", ""Fly direct through no-fly zone to exit fast"", ""Request override to bypass geofence""]","Loitering with LiDAR and inertial navigation maintains position without violating geofence or increasing collision risk. It respects the 30s fault duration and poor visibility, prioritizing airspace compliance and obstacle avoidance over mission continuation. Other options risk breaching restricted zones, losing control, or ignoring fault tolerance protocols." 2025-11-01T18:05:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_point_hover_inspection_suburban_lightning_f282c986cf6c_mcq.json,uavbench-mcq-v1,heli_point_hover_inspection_suburban_lightning,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 210s, GNSS/comms fail; UAV orbits at 40m with 6 m/s south wind and a drifting obstacle. What action balances energy, safety, and navigation?","This is an inspection mission using a quadrotor UAV equipped with RGB and thermal cameras, operating in suburban airspace. The UAV is confined within a 200m x 200m geofenced area with a minimum altitude of 10m and maximum of 120m AGL. A no-fly zone is defined as a cylinder near the center, restricting access between 10m and 60m altitude within a 20m radius. The mission involves orbiting four waypoints at 40m altitude with a 10m loiter radius to inspect key points. Weather includes moderate winds from the south at 6 m/s with gusts up to 3.5 m/s and a risk of lightning, requiring cautious operations. The UAV has a battery capacity of 320 Wh and a reserve fraction of 30%, limiting usable energy. A moving spherical obstacle drifts westward at 2 m/s near one of the orbit points, adding dynamic collision risk. Another UAV is present in the airspace, flying level at 50m altitude, necessitating separation monitoring with a 25m minimum distance threshold. GNSS jamming occurs between 200 and 230 seconds, lasting 30 seconds with high severity, coinciding with a comms downlink loss window. The UAV must rely on IMU, barometer, and lidar during the GNSS outage while maintaining safe separation and mission continuity.",Climb to 55m to avoid obstacle and other UAV,Descend to 15m to reduce wind exposure and save power,Maintain 40m orbit using lidar and IMU with reduced speed,Exit geofence immediately due to comms loss,Hover in place until GNSS signal returns at 230s,Increase speed to complete orbit before obstacle arrival,Shift orbit radius to 5m to minimize energy use,"[""Climb to 55m to avoid obstacle and other UAV"", ""Descend to 15m to reduce wind exposure and save power"", ""Maintain 40m orbit using lidar and IMU with reduced speed"", ""Exit geofence immediately due to comms loss"", ""Hover in place until GNSS signal returns at 230s"", ""Increase speed to complete orbit before obstacle arrival"", ""Shift orbit radius to 5m to minimize energy use""]","Maintaining 40m complies with altitude constraints, avoids the no-fly zone, and enables lidar-assisted navigation during GNSS outage. Reducing speed preserves energy while ensuring obstacle avoidance and separation from the other UAV, balancing aerodynamic, navigational, and safety demands under degraded comms." 2025-11-01T18:05:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/helicopter_sandstorm_harbor_operation_8f81508ee0f5_mcq.json,uavbench-mcq-v1,helicopter_sandstorm_harbor_operation,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"UAV must inspect 4 waypoints in 600 s, avoid NFZs, and maintain 25 m separation in 10–150 m AGL band with GNSS jamming and sandstorm.","This scenario involves a helicopter UAV conducting an inspection mission in a harbor environment. The airspace is constrained between 10 and 150 meters AGL, with a static no-fly zone near the center and a moving restricted zone. A sandstorm reduces visibility and impacts operations, while strong and increasing wind with altitude creates challenging flight conditions. The UAV is equipped with radar, RGB and thermal cameras, and relies on GNSS, which is subject to jamming and interference. Notable constraints include GNSS multipath and jamming, electromagnetic interference, and temporary communication downlink loss. The mission must be completed within 600 seconds, following a corridor pattern across four waypoints. A second UAV and a moving spherical obstacle introduce traffic separation challenges. The helicopter must maintain a minimum separation of 25 meters and avoid dynamic no-fly zones. Battery endurance and fault resilience are critical due to environmental stressors and system faults like GNSS denial.",Climb to 150 m AGL for better GNSS reception,Descend to 10 m AGL to minimize wind impact,Divert around moving obstacle at 80 m AGL,Hover for 60 s to reacquire lost GNSS signal,Fly direct through static NFZ to save time,Match obstacle speed to reduce separation risk,Reduce speed below 3 m/s near multipath zones,"[""Climb to 150 m AGL for better GNSS reception"", ""Descend to 10 m AGL to minimize wind impact"", ""Divert around moving obstacle at 80 m AGL"", ""Hover for 60 s to reacquire lost GNSS signal"", ""Fly direct through static NFZ to save time"", ""Match obstacle speed to reduce separation risk"", ""Reduce speed below 3 m/s near multipath zones""]","Option C maintains safe lateral separation and respects altitude and NFZ constraints. It avoids the static and dynamic NFZs while managing wind and sensor degradation. Other options violate altitude limits, increase exposure to jamming, or breach separation and no-fly rules." 2025-11-01T18:05:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/helicopter_sandstorm_wind_farm_avoidance_d2d08c5eab1e_mcq.json,uavbench-mcq-v1,helicopter_sandstorm_wind_farm_avoidance,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Helicopter UAV must reach waypoint W4 in 8 min, avoid 150 m AGL limit, and bypass drifting NFZ under 18 m/s winds.","This scenario involves an inspection mission using a fuel-powered helicopter UAV equipped with lidar, RGB camera, and standard navigation sensors. The mission takes place in a wind farm airspace with a defined geofence and both static and moving no-fly zones. Weather conditions include strong winds up to 18 m/s, gusts, and a sandstorm reducing visibility. The UAV must navigate through poor GNSS conditions due to multipath, jamming, and electromagnetic interference. It operates within a constrained altitude range of 10–150 m AGL and must avoid a central cylindrical NFZ and a drifting dynamic NFZ. A moving obstacle and another UAV add complexity to traffic separation requirements. The helicopter must complete a corridor-style waypoint route under a 10-minute time budget. Communication suffers from intermittent uplink loss during two critical windows, including during GNSS jamming and sandstorm events. Key challenges include maintaining GNSS availability, avoiding stalls in high wind shear, and preserving separation from obstacles and traffic. The mission tests resilience in navigation, energy management, and fault tolerance under harsh environmental and operational constraints.","Climb to 140 m AGL, direct route to W4","Descend to 20 m AGL, fly upwind around NFZ","Maintain 100 m AGL, reroute east to avoid NFZ",Cut through central NFZ to save 90 seconds,Hold position until GNSS signal stabilizes,Follow W3–W4 leg at 160 m AGL for clearance,"Turn sharply west to avoid obstacle, no altitude change","[""Climb to 140 m AGL, direct route to W4"", ""Descend to 20 m AGL, fly upwind around NFZ"", ""Maintain 100 m AGL, reroute east to avoid NFZ"", ""Cut through central NFZ to save 90 seconds"", ""Hold position until GNSS signal stabilizes"", ""Follow W3–W4 leg at 160 m AGL for clearance"", ""Turn sharply west to avoid obstacle, no altitude change""]","Maintaining 100 m AGL stays within safe altitude bounds and avoids the drifting NFZ with sufficient lateral margin. The eastern reroute minimizes exposure to wind shear and preserves GNSS usability near turbine edges. Other options violate AGL limits, cut through NFZs, or increase risk during communication blackouts." 2025-11-01T18:05:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_powerline_inspection_snow_26b2c27051e9_mcq.json,uavbench-mcq-v1,heli_powerline_inspection_snow,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"During 20s comms loss with 40% rotor efficiency, how should UAV adjust speed and altitude near cylindrical no-fly zone?","Helicopter UAV conducts powerline corridor inspection in snowy, low-visibility conditions. Mission takes place in a defined rectangular airspace with a central cylindrical no-fly zone. Moderate winds from 240 degrees with gusts up to 4 m/s challenge flight stability. UAV equipped with RGB and thermal cameras for visual inspection of power infrastructure. Flight limited to 10–120 meters above ground level with strict geofence enforcement. A moving spherical obstacle simulates drifting snow or dynamic hazards near the corridor. External traffic UAV flies perpendicular to the mission path, requiring separation monitoring. GNSS signals may suffer multipath effects due to proximity to powerline structures. An icing event occurs mid-mission, reducing rotor efficiency by 40% for one minute. Comms experience a brief 20-second downlink loss, testing autonomous resilience.",Descend to 10m and reduce speed by 50%,Maintain 120m altitude and full speed,Climb to 130m to avoid icing layers,Hover at edge of no-fly zone radius,Increase speed to exit corridor early,Follow external UAV's path for navigation,Adjust speed to 60% and hold 60m altitude,"[""Descend to 10m and reduce speed by 50%"", ""Maintain 120m altitude and full speed"", ""Climb to 130m to avoid icing layers"", ""Hover at edge of no-fly zone radius"", ""Increase speed to exit corridor early"", ""Follow external UAV's path for navigation"", ""Adjust speed to 60% and hold 60m altitude""]","Under rotor degradation and lost comms, maintaining moderate altitude and reduced speed ensures stability and geofence compliance. It balances obstacle clearance, energy use, and mission continuity without依赖 external signals. Other options violate altitude limits, increase risk, or assume invalid coordination with unrelated traffic." 2025-11-01T18:05:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/helicopter_survey_snowfall_3c1da29818e8_mcq.json,uavbench-mcq-v1,helicopter_survey_snowfall,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 300s, icing reduces lift and GNSS shows erratic position near structures; what action ensures control and data integrity?","This is a UAV helicopter conducting a visual and thermal survey mission near an airport perimeter. The operation takes place in a confined 500m x 500m airspace with a no-fly zone cylinder near the center. Weather includes moderate snowfall, poor visibility, and icing conditions, with 6.5 m/s winds from 280 degrees and gusts. The UAV is equipped with RGB and thermal cameras, relying on GNSS, IMU, magnetometer, and barometer for navigation. It must maintain altitude between 20m and 120m AGL and avoid a central no-fly zone and a nearby runway. A second UAV and a moving spherical obstacle add traffic complexity, requiring separation monitoring. The UAV must follow a grid survey pattern within a 600-second time limit, returning safely despite a simulated icing event at 300 seconds. Communication experiences a brief 10-second downlink loss, and GNSS multipath may occur near structures. Battery endurance and reserve margins are critical due to cold weather and sensor load. The mission emphasizes safe operation in challenging weather with strict geofencing and separation requirements.",Switch to INS-only mode with authenticated uplink commands,Increase rotor RPM using unencrypted telemetry feedback,Continue grid pattern ignoring altitude deviations,Descend immediately below 20m AGL to reduce icing,Rely on magnetometer for heading in snowstorm,Transmit raw thermal data over open Wi-Fi link,Use last known GNSS fix without integrity check,"[""Switch to INS-only mode with authenticated uplink commands"", ""Increase rotor RPM using unencrypted telemetry feedback"", ""Continue grid pattern ignoring altitude deviations"", ""Descend immediately below 20m AGL to reduce icing"", ""Rely on magnetometer for heading in snowstorm"", ""Transmit raw thermal data over open Wi-Fi link"", ""Use last known GNSS fix without integrity check""]","INS maintains control during GNSS multipath or spoofing, while authenticated commands prevent injection attacks. This preserves navigation integrity and secure control under icing and signal degradation. Other options expose the UAV to physical instability or cyber intrusion." 2025-11-01T18:05:54Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/helicopter_touch_and_go_runway_bridge_site_4cd0e7ca0e45_mcq.json,uavbench-mcq-v1,helicopter_touch_and_go_runway_bridge_site,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 125 seconds, GNSS spoofing begins. Wind is 8 m/s with gusts. A second UAV approaches from the north. What should the UAV do immediately?","The mission is a runway touch-and-go operation conducted at a bridge site airspace. The UAV is a battery-powered helicopter with a 10 kg payload and RGB camera, operating within a defined corridor. It must stay between 5 m and 120 m AGL, avoiding a cylindrical no-fly zone near the center of the area. Weather includes strong westerly winds at 8 m/s with gusts up to 4 m/s and a risk of microbursts. The flight begins near the runway threshold with a planned back-and-forth waypoint pattern along the runway. A second UAV approaches from the north, moving westward, requiring separation maintenance of at least 25 m. A moving spherical obstacle drifts slowly westward at 30 m altitude, posing a collision hazard. GNSS spoofing occurs at 120 seconds, lasting 30 seconds, challenging navigation reliability. Communication experiences a brief downlink loss between 180 and 200 seconds, adding operational risk.",Continue as planned using GPS despite spoofing,Descend to 5 m AGL to minimize wind drift,Climb to 120 m AGL for better signal reception,Initiate return to launch using inertial navigation,Hover in place until GNSS returns at 150 s,Fly toward the north UAV to confirm identification,Head west to avoid the no-fly zone immediately,"[""Continue as planned using GPS despite spoofing"", ""Descend to 5 m AGL to minimize wind drift"", ""Climb to 120 m AGL for better signal reception"", ""Initiate return to launch using inertial navigation"", ""Hover in place until GNSS returns at 150 s"", ""Fly toward the north UAV to confirm identification"", ""Head west to avoid the no-fly zone immediately""]","GNSS spoofing compromises navigation integrity, making continued GPS reliance unsafe. The UAV must use alternative navigation (inertial) to maintain position and avoid collision risks, especially with another UAV nearby. D ensures safety, avoids no-fly zones, and complies with emergency hierarchy by prioritizing controlled response over mission continuation." 2025-11-01T18:05:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/helicopter_vtol_transition_offshore_389824186da4_mcq.json,uavbench-mcq-v1,helicopter_vtol_transition_offshore,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,How should the UAV adapt at 300s when icing reduces performance by 40% amid wind gusts and jamming at -75 dBm?,"This mission involves a helicopter-type VTOL UAV conducting an offshore platform inspection. The operation takes place in a defined offshore airspace with a maximum altitude of 200 m AGL and a minimum of 10 m AGL. Weather conditions include moderate wind at 6.5 m/s from 240°, increasing with altitude, along with gusts and thermal updrafts. The UAV is battery-powered, carries a 5 kg payload with RGB camera and LiDAR sensors, and relies on GNSS/IMU navigation. Key constraints include a static no-fly zone around a critical structure and a moving no-fly zone drifting at 2.2 m/s. GNSS multipath effects and electromagnetic interference are present, with mild signal jamming at -75 dBm. The UAV must avoid collisions with static, dynamic, and moving obstacles, including another UAV on a crossing path. A planned icing event occurs at 300 seconds, reducing performance by 40% for one minute. Communication experiences brief dropouts between 120–130 s and 400–415 s. The mission requires precise transitions between hover and forward flight, with strict separation and time budget constraints.",Ascend to 200 m for clearer GNSS and stable winds,Hover in place using full thrust to maintain position,Reduce sensor payload power and descend to 50 m,Accelerate forward to escape icing layer quickly,Switch to optical flow navigation and climb above 180 m,Enter loiter mode with LiDAR scanning active,Descend to 10 m AGL and deactivate RGB camera,"[""Ascend to 200 m for clearer GNSS and stable winds"", ""Hover in place using full thrust to maintain position"", ""Reduce sensor payload power and descend to 50 m"", ""Accelerate forward to escape icing layer quickly"", ""Switch to optical flow navigation and climb above 180 m"", ""Enter loiter mode with LiDAR scanning active"", ""Descend to 10 m AGL and deactivate RGB camera""]","Reducing payload power saves energy during performance loss, while descending to 50 m balances wind exposure and obstacle clearance. This conserves battery, maintains communication reliability, and enables safe continuation after the icing event." 2025-11-01T18:05:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/helicopter_harbor_dust_soaring_05f3cb289f1e_mcq.json,uavbench-mcq-v1,helicopter_harbor_dust_soaring,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"At 140m AGL, 30% battery, and 120s from WP4, a moving obstacle breaches 25m separation. Wind is 6.5 m/s. What immediate action optimizes safety and mission integrity?","This scenario involves a helicopter UAV conducting an inspection mission in a harbor environment. The airspace is constrained between 5 and 150 meters AGL, with a defined polygonal geofence and two no-fly zones, one of which is dynamically moving. Weather conditions include moderate wind at 6.5 m/s from 120 degrees, increasing with altitude, along with gusts and poor visibility due to dust. The UAV is equipped with RGB and thermal cameras for payload, relying on battery power with a 30% reserve requirement. GNSS signals are degraded by multipath effects and interference, with jamming at -85 dBm, and electromagnetic interference is present. The mission follows a corridor pattern across five waypoints within a 600-second time budget, starting near a fixed spawn point. A single traffic UAV and a moving spherical obstacle introduce dynamic collision risks. Separation monitoring is active with a 25-meter threshold and 15-second time-to-close alerting. Communication experiences brief downlink outages, and the UAV must manage energy carefully to complete the route and land safely.",Descend to 10m AGL to evade obstacle and resume course,Abort mission and return to spawn point immediately,Continue to WP4; obstacle is outside 15s time-to-close,Climb to 150m AGL for clearer GNSS and wind advantage,Hover and wait for obstacle to pass through no-fly zone,Divert laterally beyond geofence to maintain inspection path,Transmit override to force landing in harbor maintenance zone,"[""Descend to 10m AGL to evade obstacle and resume course"", ""Abort mission and return to spawn point immediately"", ""Continue to WP4; obstacle is outside 15s time-to-close"", ""Climb to 150m AGL for clearer GNSS and wind advantage"", ""Hover and wait for obstacle to pass through no-fly zone"", ""Divert laterally beyond geofence to maintain inspection path"", ""Transmit override to force landing in harbor maintenance zone""]",Descending reduces collision risk while preserving mission within geofence and battery limits. Continuing or climbing increases danger due to wind and GNSS issues. Aborting or leaving airspace violates mission efficiency without immediate threat. 2025-11-01T18:05:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/hexacopter_bridge_inspection_microburst_06ec54d7f21b_mcq.json,uavbench-mcq-v1,hexacopter_bridge_inspection_microburst,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best balances wind resistance, sensor payload, and battery endurance under 13.5 m/s winds and 10-minute mission duration?","This mission involves a hexacopter conducting a bridge inspection in a confined urban airspace. The UAV is equipped with RGB camera and LiDAR for visual and structural analysis. Operations occur within a defined polygon geofence, with a cylindrical no-fly zone near the bridge's center. A microburst risk exists, with wind increasing from 8.5 m/s at ground level to 13.5 m/s at 100 m altitude. The UAV must maintain separation of at least 25 meters from other traffic, including a crossing UAV. Communication experiences brief dropouts between seconds 120–130 and 400–415. Battery endurance is limited, requiring efficient route planning within the 10-minute time budget. GNSS signals may suffer multipath effects due to proximity to large metallic structures. The UAV spawns near the bridge abutment and must avoid a moving obstacle simulating construction equipment. Mission success depends on completing the inspection while respecting energy reserves and safety constraints.","Hexacopter with RGB only, minimal redundancy",Quadcopter with LiDAR and dual GNSS,Hexacopter with full sensor suite and dynamic path replanning,Fixed-wing with RGB and long-endurance battery,"Octocopter with thermal camera, high power use","Quadcopter with basic GPS, no LiDAR","Hexacopter with LiDAR, no wind compensation algorithm","[""Hexacopter with RGB only, minimal redundancy"", ""Quadcopter with LiDAR and dual GNSS"", ""Hexacopter with full sensor suite and dynamic path replanning"", ""Fixed-wing with RGB and long-endurance battery"", ""Octocopter with thermal camera, high power use"", ""Quadcopter with basic GPS, no LiDAR"", ""Hexacopter with LiDAR, no wind compensation algorithm""]","The hexacopter with full sensors and dynamic replanning leverages its inherent redundancy and payload capacity while adapting to wind and obstacles. It maintains mission integrity during communication dropouts and GNSS multipath by using LiDAR for localization. Other options fail in endurance, sensor completeness, or environmental adaptability under the mission's wind and structural constraints." 2025-11-01T18:05:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/heli_sandstorm_inspection_mission_4cc758f53d65_mcq.json,uavbench-mcq-v1,heli_sandstorm_inspection_mission,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 1100 m AGL, winds hit 15 m/s with 30% battery; sandstorm reduces visibility to 50 m. What action prioritizes safety?","This is an inspection mission conducted in mountainous terrain using a battery-powered helicopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The UAV has a total mass of 18.5 kg, including a 1.2 kg payload, and operates within an altitude range of 50 to 1200 meters AGL. The environment features strong and increasing winds from the southwest, peaking at 15 m/s at 1000 m altitude, along with a sandstorm causing poor visibility. GNSS signals are degraded due to multipath effects and intentional jamming at -95 dBm, with an additional simulated GNSS jamming fault lasting 30 seconds. The mission includes static and moving no-fly zones, one of which shifts dynamically during flight, requiring real-time avoidance. A second UAV and a moving spherical obstacle introduce traffic separation challenges, with a minimum separation threshold of 25 meters. The UAV must complete a series of waypoints followed by an orbit pattern while managing battery reserves, with a 30% reserve required and limited downlink communication. Launch occurs from a fixed point, with one preferred and one emergency landing site available. The scenario emphasizes navigation reliability, sensor resilience, and safe operation under adverse weather, electromagnetic interference, and partial communication loss.",Continue mission; use LiDAR to penetrate sandstorm,Descend to 60 m AGL to reduce wind exposure,Abort mission; proceed to emergency landing site,Climb to 1200 m for clearer GNSS signal,Maintain altitude and reduce speed,Switch to thermal camera and continue orbit,Transmit data burst and delay landing,"[""Continue mission; use LiDAR to penetrate sandstorm"", ""Descend to 60 m AGL to reduce wind exposure"", ""Abort mission; proceed to emergency landing site"", ""Climb to 1200 m for clearer GNSS signal"", ""Maintain altitude and reduce speed"", ""Switch to thermal camera and continue orbit"", ""Transmit data burst and delay landing""]","Severe winds, poor visibility, and degraded GNSS increase collision and control loss risk. With only 30% battery—barely meeting reserve—diverting to emergency landing ensures safe recovery. Continuing the mission endangers airspace safety and violates operational risk thresholds." 2025-11-01T18:05:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/hexacopter_bridge_inspection_snow_88f0d5b64954_mcq.json,uavbench-mcq-v1,hexacopter_bridge_inspection_snow,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"Given GNSS degradation, cross-traffic at 30m, and a 10-minute inspection window, how should the hexacopter adjust its path while icing reduces propulsion for 1 minute?","This scenario involves a hexacopter conducting a bridge inspection in snowy conditions near an urban river crossing. The mission takes place within a defined airspace bounded by a polygon geofence, with a maximum altitude of 120 meters AGL. Weather includes moderate wind at 6.2 m/s from 240 degrees, increasing with altitude, and poor visibility due to ongoing snowfall. The UAV is equipped with a visual RGB camera and LIDAR for structural inspection, relying on GNSS, IMU, and barometric sensors for navigation. Key constraints include a static no-fly zone near a support pillar and a moving no-fly cylinder representing maintenance equipment. A second UAV flies cross-traffic at 30 meters altitude, requiring separation monitoring to avoid conflicts. GNSS performance is degraded by multipath effects and electromagnetic interference, with a jamming signal at -75 dBm. Mid-mission, an icing event reduces propulsion efficiency for one minute, increasing power consumption. Communication experiences brief downlink outages, and the UAV must complete its inspection corridor within 10 minutes while avoiding obstacles and maintaining safe separation.",Climb to 110m for better GNSS signal clarity and proceed linearly,Descend to 25m to avoid wind shear and maintain visual with cross-traffic,Hold position at 60m until icing event passes and resume original path,"Shift eastward, increasing lateral separation from moving no-fly cylinder",Accelerate inspection speed by 20% to compensate for lost time post-icing,Switch to LIDAR-only navigation and reduce altitude to 40m,Broadcast intent to deviate and coordinate temporary corridor adjustment with second UAV,"[""Climb to 110m for better GNSS signal clarity and proceed linearly"", ""Descend to 25m to avoid wind shear and maintain visual with cross-traffic"", ""Hold position at 60m until icing event passes and resume original path"", ""Shift eastward, increasing lateral separation from moving no-fly cylinder"", ""Accelerate inspection speed by 20% to compensate for lost time post-icing"", ""Switch to LIDAR-only navigation and reduce altitude to 40m"", ""Broadcast intent to deviate and coordinate temporary corridor adjustment with second UAV""]","Maintaining communication and situational awareness with the second UAV ensures conflict-free deconfliction during dynamic constraints. Broadcasting intent enables decentralized coordination, preserving timing and separation. This choice respects all constraints: GNSS degradation, cross-traffic, icing duration, and mission deadline." 2025-11-01T18:05:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/helicopter_icing_recon_beb827ebcc6e_mcq.json,uavbench-mcq-v1,helicopter_icing_recon,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 200s, icing hits; UAV is at 50m AGL, 120s into a 10-min mission. Winds increase westward. What's optimal?","This is a helicopter-based area reconnaissance mission in a dense urban environment. The UAV operates within a defined airspace from 10 to 150 meters AGL, bounded by a geofence and two no-fly zones—one static and one moving. Weather conditions include strong westerly winds increasing with altitude, gusts, poor visibility, and icing conditions. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, carrying a 15 kg payload. A critical constraint is the presence of GNSS multipath, moderate jamming, and electromagnetic interference, affecting positioning accuracy. The mission requires flying a grid pattern at 50 meters altitude to survey an area, with a time budget of 10 minutes. There is a dynamic no-fly zone moving diagonally across the area, requiring real-time avoidance. A traffic UAV and a moving spherical obstacle add complexity to path planning. An icing event is simulated at 200 seconds, reducing performance for one minute. Communication experiences brief uplink/downlink outages, requiring robust autonomy and fault tolerance.","Maintain 50m, continue grid pattern westward",Climb to 140m to avoid icing layer,"Descend to 20m AGL, proceed south around moving NFZ","Abort mission, divert to nearest runway east",Hold position at 50m until icing clears,"Increase speed, complete grid above 100m","Switch to thermal-only, ascend to 150m","[""Maintain 50m, continue grid pattern westward"", ""Climb to 140m to avoid icing layer"", ""Descend to 20m AGL, proceed south around moving NFZ"", ""Abort mission, divert to nearest runway east"", ""Hold position at 50m until icing clears"", ""Increase speed, complete grid above 100m"", ""Switch to thermal-only, ascend to 150m""]","Icing at 200s reduces performance; 50m is within icing layer and westward climb increases wind exposure. Descending to 20m reduces icing risk and avoids moving NFZ while staying within AGL bounds. Other options violate altitude limits, increase exposure, or waste time." 2025-11-01T18:05:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/helicopter_loiter_sandstorm_dense_urban_32649ad8ada0_mcq.json,uavbench-mcq-v1,helicopter_loiter_sandstorm_dense_urban,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,F,False,"At 130 s, GNSS jams and uplink lost; UAV is at 250 m AGL, 80 m from moving obstacle. What immediate action ensures safety and compliance?","This mission involves a helicopter UAV conducting an inspection in a dense urban airspace. The helicopter is equipped with lidar, radar, RGB camera, and standard navigation sensors, carrying a 100 kg payload. It operates under harsh weather conditions including a sandstorm and strong winds of 12 m/s with gusts up to 6 m/s, reducing visibility. The flight envelope is constrained between 10 m and 300 m AGL within a defined polygonal airspace. A static no-fly zone is present at the center of the area, with an additional moving no-fly cylinder shifting southwest. The mission includes loitering in an orbit pattern around key waypoints, requiring precise navigation despite GNSS multipath and potential signal jamming. A GNSS jamming fault is simulated between 120–150 seconds, coinciding with a temporary uplink loss. The UAV must maintain separation of at least 50 m from other traffic and avoid dynamic obstacles, including a moving sphere. Despite downlink capability, uplink communication is disrupted during the jamming event, limiting remote intervention. The scenario tests resilience in navigation, sensor fusion, and mission continuity under adverse environmental and operational constraints.",Descend to 150 m AGL and hold position,Climb to 300 m AGL to avoid obstacle,Turn southwest to exit near static NFZ,Reduce speed and loiter at current altitude,Descend to 10 m AGL and hover,Execute predefined reroute avoiding both NFZs,Increase speed toward center polygon,"[""Descend to 150 m AGL and hold position"", ""Climb to 300 m AGL to avoid obstacle"", ""Turn southwest to exit near static NFZ"", ""Reduce speed and loiter at current altitude"", ""Descend to 10 m AGL and hover"", ""Execute predefined reroute avoiding both NFZs"", ""Increase speed toward center polygon""]","Option F maintains separation from the moving obstacle and avoids both static and dynamic NFZs while preserving energy and minimizing exposure to GNSS multipath at low altitude. Descending (A, E) increases multipath risk; climbing (B) uses excess energy; turning near NFZ (C) or speeding (G) violates spatial compliance. D maintains hazardous proximity." 2025-11-01T18:05:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/helicopter_rain_desert_survey_ec9a0a93211b_mcq.json,uavbench-mcq-v1,helicopter_rain_desert_survey,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 11 m/s wind and 45-second GNSS outage, UAV faces dynamic no-fly zone encroachment with IMU bias and downlink loss. What action prioritizes safety?","Helicopter UAV conducts a survey mission in a desert airspace under rainy conditions with poor visibility and lightning risk. Wind speeds increase with altitude, reaching up to 11 m/s from the west, with moderate gusts and shifting direction. The UAV is equipped with radar, RGB camera, and standard navigation sensors, but lacks lidar and thermal imaging. Mission involves flying a rectangular corridor pattern within a defined polygonal airspace boundary. A static no-fly zone blocks the center of the area, while a smaller dynamic no-fly zone moves northwest. Another UAV and a moving spherical obstacle traverse the airspace, requiring separation maintenance. GNSS performance is degraded by moderate jamming and a simulated 45-second outage due to interference. IMU experiences a transient bias fault, challenging navigation accuracy mid-mission. Communications suffer intermittent downlink losses, limiting telemetry and command uplink reliability. Battery reserves and strict altitude limits between 10 and 450 meters AGL constrain flight operations.",Continue mission using radar to avoid obstacles,Climb to 450 m AGL for better signal reception,Abort mission and return to base immediately,Descend to 10 m AGL to minimize wind impact,Hover in place until GNSS recovers,Enter dynamic no-fly zone to shorten escape path,Rely on dead reckoning to complete survey,"[""Continue mission using radar to avoid obstacles"", ""Climb to 450 m AGL for better signal reception"", ""Abort mission and return to base immediately"", ""Descend to 10 m AGL to minimize wind impact"", ""Hover in place until GNSS recovers"", ""Enter dynamic no-fly zone to shorten escape path"", ""Rely on dead reckoning to complete survey""]","Continuing risks navigation failure due to sensor faults and poor situational awareness. Mission loss is acceptable compared to collision or airspace violation. Immediate abort ensures safety under degraded conditions, aligning with ethical duty to prevent harm." 2025-11-01T18:05:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/helicopter_rainy_mine_inspection_38107eae97d7_mcq.json,uavbench-mcq-v1,helicopter_rainy_mine_inspection,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During GNSS multipath and communication loss, how should the UAV maintain position and mission continuity within 60m AGL and a shifting no-fly zone?","This scenario involves a helicopter UAV conducting an inspection mission inside an underground mine. The airspace is confined with a maximum altitude of 60 meters AGL and a defined polygon geofence. Weather conditions include rain, icing, poor visibility, and moderate wind with gusts, creating challenging flight dynamics. The UAV is equipped with a battery-powered rotorcraft system and carries a payload with RGB and thermal cameras, as well as LiDAR. Key constraints include a static no-fly zone near the center and a moving no-fly zone that shifts during the mission. Additional hazards include GNSS multipath, electromagnetic interference, and periodic communication losses. A second UAV and a moving spherical obstacle introduce traffic separation challenges, requiring adherence to a 15-meter separation threshold. The mission includes an induced icing event lasting one minute, which impacts performance. The UAV must complete a corridor-style waypoint inspection within a 10-minute time limit while managing battery reserves and environmental risks.",Rely solely on encrypted GNSS with signal authentication,Switch to LiDAR-inertial fused navigation with local obstacle mapping,Increase control loop frequency using unverified sensor inputs,Transmit unencrypted telemetry to maintain ground link,Follow last known GPS waypoint ignoring moving obstacle data,Accept remote command override without cryptographic signature,Hover until comms restore using open-loop actuator control,"[""Rely solely on encrypted GNSS with signal authentication"", ""Switch to LiDAR-inertial fused navigation with local obstacle mapping"", ""Increase control loop frequency using unverified sensor inputs"", ""Transmit unencrypted telemetry to maintain ground link"", ""Follow last known GPS waypoint ignoring moving obstacle data"", ""Accept remote command override without cryptographic signature"", ""Hover until comms restore using open-loop actuator control""]","B ensures resilience by fusing LiDAR and inertial data, maintaining position accuracy despite GNSS spoofing and multipath. It preserves control stability and avoids reliance on compromised signals or unsecured links. This approach enables dynamic rerouting around moving obstacles and sustains mission integrity during communication outages." 2025-11-01T18:05:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/hexacopter_inspection_sandstorm_f10ea3717e65_mcq.json,uavbench-mcq-v1,hexacopter_inspection_sandstorm,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 310 seconds, comms drop occurs; UAV must reach waypoint 3 in 45 s with 8 m/s crosswind and moving obstacle within 25 m.","This mission involves a hexacopter conducting an inspection in a desert airspace during a sandstorm. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Weather conditions include strong 8 m/s winds from 240 degrees, gusts up to 4.5 m/s, and poor visibility due to the sandstorm. The flight envelope is restricted between 5 m and 120 m AGL within a defined polygonal geofence. A static no-fly zone blocks access to a central cylinder area, while a dynamic no-fly zone moves slowly across the airspace. The mission includes four inspection waypoints following a corridor pattern with a 600-second time limit. A second UAV and a moving spherical obstacle create dynamic traffic hazards. Communication experiences brief uplink/downlink outages between steps 100–110 and 300–320. The hexacopter must maintain at least 25 m separation from traffic with a 15-second time-to-closest-approach threshold. Battery reserve is set to 30%, and GNSS signal degradation from sand particles may affect positioning accuracy.",Ascend to 120 m for better GNSS signal and direct route,Delay waypoint 3 until comms restore at 320 s,Rely on dead reckoning with IMU to reach waypoint 3 on time,Divert to nearest edge of geofence for safety,Request second UAV to cover waypoint 3 via ad-hoc link,Hover at current position until visibility improves,Descend to 5 m AGL to reduce wind impact and conserve battery,"[""Ascend to 120 m for better GNSS signal and direct route"", ""Delay waypoint 3 until comms restore at 320 s"", ""Rely on dead reckoning with IMU to reach waypoint 3 on time"", ""Divert to nearest edge of geofence for safety"", ""Request second UAV to cover waypoint 3 via ad-hoc link"", ""Hover at current position until visibility improves"", ""Descend to 5 m AGL to reduce wind impact and conserve battery""]",Offloading the task to the second UAV maintains mission timeline during comms and sensor degradation. This preserves formation efficiency and respects the 15-second time-to-closest-approach buffer with the moving obstacle. It optimizes inter-agent coordination by leveraging decentralized task reassignment under dynamic constraints. 2025-11-01T18:05:55Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/hexacopter_sandstorm_survey_ffee0223d794_mcq.json,uavbench-mcq-v1,hexacopter_sandstorm_survey,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,D,False,"With 520 Wh battery and 9.5–14 m/s winds, which action maximizes grid coverage while ensuring return within 10 minutes despite GNSS jamming?","A hexacopter UAV conducts a grid survey mission in a rural desert environment. The mission operates within a defined airspace from 10 to 120 meters AGL, bounded by a polygonal geofence. Strong winds of 9.5 m/s increase with altitude, peaking at 14 m/s, and a sandstorm reduces visibility to poor levels. The UAV is equipped with a radar and RGB camera payload, powered by a 520 Wh battery, and carries additional sensors including GNSS, IMU, and barometer. GNSS multipath and electromagnetic interference are present, with a scheduled GNSS jamming fault of 80% severity lasting 45 seconds. A static no-fly zone and a moving no-fly cylinder challenge navigation, requiring dynamic avoidance. Air traffic includes a crossing UAV, and a moving spherical obstacle drifts through the area, requiring separation by 25 meters. Communication suffers from downlink failure and an uplink loss window during the jamming event. The mission must complete within 10 minutes, return to a preferred landing site, and maintain safety margins despite environmental and system challenges.",Ascend to 120 m for wider camera view and faster coverage,Fly at 10 m AGL to minimize wind exposure and power use,Disable radar to save power and increase flight time,Reduce camera resolution and shorten survey path dynamically,Continue full-grid scan using IMU during GNSS outage,Hover during jamming to avoid navigation errors,Divert to secondary site to avoid moving obstacle early,"[""Ascend to 120 m for wider camera view and faster coverage"", ""Fly at 10 m AGL to minimize wind exposure and power use"", ""Disable radar to save power and increase flight time"", ""Reduce camera resolution and shorten survey path dynamically"", ""Continue full-grid scan using IMU during GNSS outage"", ""Hover during jamming to avoid navigation errors"", ""Divert to secondary site to avoid moving obstacle early""]","Reducing camera resolution cuts power and data load, preserving energy for critical systems during uplink loss. Shortening the path adapts to time and wind constraints while ensuring return. This balances mission utility with energy and safety limits under degraded GNSS and communication." 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/hexacopter_firefighting_icing_suburban_71c9a1f4e629_mcq.json,uavbench-mcq-v1,hexacopter_firefighting_icing_suburban,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"At 30m AGL, with 6.5m/s winds from 240°, and a no-fly zone at center, which path optimizes the 5-waypoint firefighting run under icing and obstacle constraints?","This is a firefighting mission using a hexacopter UAV in a suburban airspace. The UAV carries a payload for fire suppression and is equipped with thermal and RGB cameras, LiDAR, and standard navigation sensors. The environment features moderate winds from 240 degrees at 6.5 m/s with gusts up to 3.2 m/s and includes icing conditions. The flight occurs between 10 and 120 meters AGL within a defined polygonal geofence. A no-fly zone cylinder is present near the center of the area, requiring avoidance. The mission involves following a corridor pattern of five waypoints at 30 meters altitude to deliver firefighting drops. An icing fault is simulated at 300 seconds, reducing performance for one minute. A single other UAV and a moving spherical obstacle add complexity to the airspace. Communication experiences a brief downlink loss between 400 and 410 seconds. The UAV must maintain separation, avoid constraints, and complete the mission within 600 seconds while managing battery reserve and environmental risks.",Direct route through NFZ center to save time,Fly all waypoints at 10m to avoid wind gusts,"Follow corridor pattern at 30m, adjusting for 240° wind drift",Ascend to 120m to bypass moving obstacle and NFZ,Delay mission until after 410s to avoid comms loss,Skip last two waypoints to preserve battery after icing fault,Circle first waypoint until 300s to wait out icing,"[""Direct route through NFZ center to save time"", ""Fly all waypoints at 10m to avoid wind gusts"", ""Follow corridor pattern at 30m, adjusting for 240° wind drift"", ""Ascend to 120m to bypass moving obstacle and NFZ"", ""Delay mission until after 410s to avoid comms loss"", ""Skip last two waypoints to preserve battery after icing fault"", ""Circle first waypoint until 300s to wait out icing""]","Maintains required 30m AGL for effective drop delivery while compensating for wind drift from 240° ensures corridor accuracy. Avoids NFZ, respects time and altitude bounds, and adapts to dynamic obstacles without inefficiency. Other options violate NFZ, altitude, timing, or mission completion constraints." 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/hexacopter_delivery_wind_farm_microburst_c12b5b171f41_mcq.json,uavbench-mcq-v1,hexacopter_delivery_wind_farm_microburst,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"A hexacopter faces 8.5 m/s winds at 240°, a moving obstacle, and a no-fly zone from 10–80 m near turbines; what action balances energy, safety, and mission time?","A hexacopter UAV conducts a package delivery mission within a wind farm environment. The flight occurs at altitudes between 10 and 120 meters AGL, within a defined rectangular geofenced area. Weather includes a 8.5 m/s wind from 240 degrees with gusts up to 4.5 m/s and a risk of microbursts. The UAV is equipped with a battery-powered hexacopter configuration and carries a 0.8 kg visual payload using an RGB camera. A no-fly zone is enforced as a cylinder near the center of the airspace, extending from 10 to 80 meters altitude. The mission must be completed within 600 seconds, following a corridor pattern through three waypoints. Another UAV is present in the airspace, moving on a collision course if unmitigated. A moving spherical obstacle drifts southwest near the center of the domain. The UAV relies on GNSS, IMU, and other standard sensors, but may face GNSS multipath due to turbine structures. Separation from other traffic must be maintained above 25 meters or 15 seconds time-to-closest-approach.",Climb to 120 m to avoid turbulence and maintain line-of-sight,Descend to 10 m to reduce wind exposure below turbine wakes,Accelerate to bypass the moving obstacle before collision,Delay takeoff until microburst risk dissipates,"Reroute westward at 90 m, adjusting speed for 15s separation",Hover until the other UAV clears the corridor,Fly direct at 80 m through the no-fly zone to save energy,"[""Climb to 120 m to avoid turbulence and maintain line-of-sight"", ""Descend to 10 m to reduce wind exposure below turbine wakes"", ""Accelerate to bypass the moving obstacle before collision"", ""Delay takeoff until microburst risk dissipates"", ""Reroute westward at 90 m, adjusting speed for 15s separation"", ""Hover until the other UAV clears the corridor"", ""Fly direct at 80 m through the no-fly zone to save energy""]","Rerouting westward at 90 m avoids the no-fly zone and turbulent lower altitudes while leveraging higher stability. Adjusting speed ensures 15-second separation, balancing energy use and collision avoidance. This path respects GNSS limitations near turbines and maintains mission timing within 600 seconds." 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/hexacopter_dust_suburban_survey_0bf62cc98ad7_mcq.json,uavbench-mcq-v1,hexacopter_dust_suburban_survey,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,"At 40m altitude, 25m from no-fly zone edge, dust reduces visibility. Wind gusts hit. What's the immediate action?","This is a survey mission using a hexacopter UAV in a suburban airspace. The UAV is equipped with an RGB camera and standard navigation sensors, powered by a battery. The environment features poor visibility due to dust and moderate winds from the southwest with gusts. The flight occurs between 10 and 120 meters AGL within a defined polygonal geofence. A cylindrical no-fly zone is centered at (150, 100) with a 20-meter radius and vertical limits from 10 to 60 meters. The mission follows a grid pattern at 40 meters altitude, covering five waypoints and returning to the start. A single other UAV and a moving spherical obstacle add dynamic traffic complexity. Separation monitoring is active with a 25-meter threshold and 10-second time-to-close alerting. GNSS multipath effects may occur due to the suburban environment, and visual conditions are degraded by dust.",Continue mission; stay above 60m to avoid no-fly zone,Descend to 30m for better camera clarity despite no-fly zone top,Abort mission and land immediately at current location,Exit geofence and hover at 120m until visibility improves,Adjust grid path to add 30m lateral buffer from no-fly zone,Fly direct to home via shortest path through 50m altitude,Request override to enter no-fly zone for faster survey completion,"[""Continue mission; stay above 60m to avoid no-fly zone"", ""Descend to 30m for better camera clarity despite no-fly zone top"", ""Abort mission and land immediately at current location"", ""Exit geofence and hover at 120m until visibility improves"", ""Adjust grid path to add 30m lateral buffer from no-fly zone"", ""Fly direct to home via shortest path through 50m altitude"", ""Request override to enter no-fly zone for faster survey completion""]",Maintaining 30m lateral buffer ensures safety and legal compliance with the 20m-radius no-fly zone under uncertain GNSS and visibility. Continuing or descending risks airspace violation and collision. Ethical priority is avoiding unauthorized intrusion over mission efficiency. 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/hexacopter_corridor_follow_icing_83ebc6a9a135_mcq.json,uavbench-mcq-v1,hexacopter_corridor_follow_icing,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"During icing at 110 m AGL with 6.5 m/s winds, what action maintains safety within 10–120 m AGL and avoids dynamic NFZ?","This mission involves a hexacopter conducting an inspection in a confined airport perimeter corridor. The UAV operates within a defined airspace polygon with altitude limits between 10 and 120 meters AGL. Weather includes moderate wind at 6.5 m/s from 240°, increasing with altitude, along with poor visibility and icing conditions. The hexacopter carries an RGB camera and LiDAR payload, suitable for visual inspection under challenging conditions. A static no-fly zone blocks the central area, while a second dynamic no-fly zone moves through the corridor, requiring real-time avoidance. GNSS signals are degraded due to multipath and mild jamming, complicating navigation near structures. The UAV must follow a predefined waypoint corridor while maintaining separation from a moving obstacle and an intruding UAV. An icing event is simulated mid-mission, reducing performance for 45 seconds. Communication experiences brief downlink outages, demanding robust autonomy. The mission emphasizes safe navigation under adverse weather, sensor limitations, and dynamic constraints within airport proximity.",Descend to 15 m AGL and hold until icing clears,Climb to 125 m AGL to escape icing layer,Continue at 110 m AGL through icing event,Exit corridor and land at alternate site 1.2 km east,Turn back toward launch point at 100 m AGL,Descend to 8 m AGL to reduce wind exposure,Accelerate to bypass dynamic NFZ before expansion,"[""Descend to 15 m AGL and hold until icing clears"", ""Climb to 125 m AGL to escape icing layer"", ""Continue at 110 m AGL through icing event"", ""Exit corridor and land at alternate site 1.2 km east"", ""Turn back toward launch point at 100 m AGL"", ""Descend to 8 m AGL to reduce wind exposure"", ""Accelerate to bypass dynamic NFZ before expansion""]","Descending to 15 m AGL stays within the permitted altitude band and reduces exposure to stronger winds and icing, which are altitude-dependent. It maintains clearance from the dynamic no-fly zone and avoids GNSS degradation near structures by remaining low but above minimum safe height. Other options either violate altitude limits, increase risk during degraded performance, or fail to ensure separation." 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/hexacopter_tower_inspection_hot_weather_5615478c32e3_mcq.json,uavbench-mcq-v1,hexacopter_tower_inspection_hot_weather,minimax/minimax-m1,9,Comparative System Reasoning,7,?,E,False,"Which UAV configuration best balances wind resistance, sensor payload, and obstacle avoidance within 600 seconds and 7.5 m/s winds?","This scenario involves a hexacopter conducting a tower spiral inspection in a wind farm environment. The mission takes place within a defined polygonal airspace bounded between 10 and 120 meters AGL. Weather conditions include a 7.5 m/s wind from 240 degrees, gusts up to 4.0 m/s, and extreme heat, which may affect battery performance. The UAV is equipped with RGB and thermal cameras, LiDAR, GNSS, IMU, magnetometer, and barometer for navigation and inspection tasks. A cylindrical no-fly zone centered at (150, 100) with a 20-meter radius and 10–80 meter vertical limits must be avoided. The hexacopter must complete its spiral inspection pattern within a 600-second time budget, starting from a designated spawn point. There is one other UAV in the airspace moving on a fixed trajectory, requiring separation maintenance. A moving spherical obstacle travels at 2.8 m/s diagonally, adding dynamic collision risk. The minimum separation threshold is 25 meters with a time-to-closest-approach limit of 10 seconds for detect-and-avoid compliance. Battery reserve is set to 30%, and GNSS multipath effects near towers may challenge positioning accuracy.","Quadcopter with RGB camera only, lightweight frame","Hexacopter with thermal and LiDAR, no GNSS redundancy","Octocopter with dual GNSS, full sensor suite, high power use","Fixed-wing with RGB, fast transit, poor hover capability","Hexacopter with sensor suite, FDIR logic, moderate power draw","Quadcopter with LiDAR, IMU-only navigation, no magnetometer","Hexacopter with thermal camera, reduced battery reserve","[""Quadcopter with RGB camera only, lightweight frame"", ""Hexacopter with thermal and LiDAR, no GNSS redundancy"", ""Octocopter with dual GNSS, full sensor suite, high power use"", ""Fixed-wing with RGB, fast transit, poor hover capability"", ""Hexacopter with sensor suite, FDIR logic, moderate power draw"", ""Quadcopter with LiDAR, IMU-only navigation, no magnetometer"", ""Hexacopter with thermal camera, reduced battery reserve""]","The hexacopter with FDIR logic ensures fault detection and resilience in GNSS-denied areas near towers. It supports full sensor payload and efficient power use, meeting time and obstacle avoidance requirements. Other options fail in redundancy, endurance, or environmental adaptability under wind and heat stress." 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/hexacopter_indoor_fog_survey_d83d927a3f73_mcq.json,uavbench-mcq-v1,hexacopter_indoor_fog_survey,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"With 30% battery reserve and a drifting obstacle, which action maximizes survey completion while ensuring return?","This mission involves a hexacopter conducting an indoor survey in a warehouse environment. The UAV is equipped with lidar, RGB camera, IMU, barometer, and magnetometer, but lacks GNSS and relies on alternative navigation due to indoor conditions. The airspace is constrained by a polygonal geofence and includes a cylindrical no-fly zone at the center. Weather features poor visibility due to fog and light wind from the east, though indoors effects are limited. GNSS multipath and electromagnetic interference are present, further degrading positioning accuracy. The UAV must follow a grid survey pattern while avoiding a moving spherical obstacle drifting eastward. Flight altitude is restricted between 0.5 and 6.0 meters AGL, with tight separation and time-to-collision thresholds for safety. Communication experiences brief downlink outages, requiring robust data handling. Battery capacity is limited, with a reserve fraction of 30% to ensure safe return. The mission emphasizes obstacle avoidance, sensor reliability, and adherence to spatial and temporal constraints despite degraded sensing and comms.",Increase speed to finish faster and save power,Descend to 0.5 m to reduce wind resistance,Disable lidar to cut power and extend flight time,Shorten grid spacing for higher data resolution,Climb to 6.0 m for better obstacle clearance,Pause survey and hover until obstacle passes,Reduce camera frame rate and optimize path,"[""Increase speed to finish faster and save power"", ""Descend to 0.5 m to reduce wind resistance"", ""Disable lidar to cut power and extend flight time"", ""Shorten grid spacing for higher data resolution"", ""Climb to 6.0 m for better obstacle clearance"", ""Pause survey and hover until obstacle passes"", ""Reduce camera frame rate and optimize path""]","Reducing camera frame rate lowers power use and data load, while path optimization minimizes distance and energy. This balances mission completeness with battery limits. Other options either increase energy use, waste time, or risk collision or data gaps." 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/hexacopter_gps_spoof_rain_bridge_inspection_402651bcd396_mcq.json,uavbench-mcq-v1,hexacopter_gps_spoof_rain_bridge_inspection,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 30% battery reserve, 6.5 m/s wind, and 45s GNSS spoofing, which strategy maximizes inspection completion and safe return?","This scenario involves a hexacopter conducting a bridge inspection mission in a confined urban airspace near a bridge site. The UAV is equipped with RGB camera and LiDAR payload for visual and structural assessment, relying on GNSS, IMU, and other onboard sensors for navigation. Weather conditions include moderate rain and poor visibility, with a 6.5 m/s wind from 240 degrees and gusts up to 3.2 m/s, increasing flight challenges. A static no-fly zone is defined as a cylinder near the bridge center, and a dynamic no-fly zone moves across the site, requiring real-time avoidance. The hexacopter must maintain separation from a moving obstacle and another UAV traffic agent flying through the airspace. GNSS spoofing is introduced at 200 seconds, lasting 45 seconds with high severity, simulating a malicious navigation attack. Communication downlink is lost during two critical windows, limiting telemetry transmission despite functional uplink control. The flight must stay within a predefined geofenced polygon and adhere to altitude limits between 10 and 120 meters AGL. Battery endurance is constrained, with a 30% reserve required and energy consumption affected by wind and drag. The mission must be completed within 600 seconds, following a corridor inspection pattern through five waypoints before returning safely.",Proceed at full speed through all waypoints,"Disable LiDAR to save power, maintain route","Skip last waypoint, reduce camera resolution","Hover during GNSS spoofing, resume normally",Climb to 120m for better signal reception,Return early after three waypoints,"Reduce speed, throttle down IMU sampling","[""Proceed at full speed through all waypoints"", ""Disable LiDAR to save power, maintain route"", ""Skip last waypoint, reduce camera resolution"", ""Hover during GNSS spoofing, resume normally"", ""Climb to 120m for better signal reception"", ""Return early after three waypoints"", ""Reduce speed, throttle down IMU sampling""]","Skipping the last waypoint reduces energy use under wind drag while maintaining core inspection data. Lowering camera resolution decreases power draw without disabling critical sensors. This balances mission utility and endurance, ensuring return within the 30% reserve despite communication losses and spoofing." 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/high_crosswind_glider_training_bridge_site_e5933d95791c_mcq.json,uavbench-mcq-v1,high_crosswind_glider_training_bridge_site,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Plan route avoiding static NFZ, moving obstacle (3 m/s west), and second UAV while maintaining 10–250 m AGL in 600 s under crosswinds (240–260°).","This is a glider UAV inspection mission at a bridge site with high crosswinds and snowfall. The airspace is constrained between 10 and 250 meters AGL with a static no-fly zone near the center and a moving no-fly cylinder. Winds are strong (8.5 m/s at ground, increasing to 13.5 m/s aloft) from 240–260°, creating challenging crosswind conditions during operations. The UAV is a battery-powered glider equipped with a camera payload, optimized for energy efficiency but sensitive to wind and icing. GNSS multipath effects and moderate jamming (-85 dBm) degrade navigation accuracy near structures. A dynamic obstacle moves westward at 3 m/s, and another UAV flies through the airspace on a fixed path. The mission must be completed within 600 seconds, following a corridor pattern with a required runway landing. An icing event occurs at 120 seconds, reducing performance for one minute. Constraints include maintaining separation from traffic and obstacles, avoiding geofence and altitude violations, and managing battery reserves under poor visibility and gusty conditions.","Fly direct east at 200 m AGL, ignore obstacle drift due to strong tailwind.","Climb to 240 m AGL, overfly static NFZ and moving obstacle with margin.","Descend to 15 m AGL, hug terrain east avoiding obstacle and NFZ.",Delay departure 30 s to let moving obstacle pass before crossing corridor.,"Reroute north above dynamic obstacle at 230 m AGL, then descend to waypoint.","Cut through NFZ center to save 40 s, resume pattern on far side.",Match obstacle’s westward speed while passing downwind to reduce closure rate.,"[""Fly direct east at 200 m AGL, ignore obstacle drift due to strong tailwind."", ""Climb to 240 m AGL, overfly static NFZ and moving obstacle with margin."", ""Descend to 15 m AGL, hug terrain east avoiding obstacle and NFZ."", ""Delay departure 30 s to let moving obstacle pass before crossing corridor."", ""Reroute north above dynamic obstacle at 230 m AGL, then descend to waypoint."", ""Cut through NFZ center to save 40 s, resume pattern on far side."", ""Match obstacle’s westward speed while passing downwind to reduce closure rate.""]","Option E balances obstacle avoidance and altitude compliance by rerouting above the moving cylinder with vertical clearance, preserving GNSS-reliant navigation in less turbulent layers. It maintains separation from the second UAV and NFZ while optimizing energy use via gradual descent. Other choices breach NFZ, reduce safety margins, or mispredict wind-affected timing." 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/high_crosswind_convertiplane_training_691087f3875b_mcq.json,uavbench-mcq-v1,high_crosswind_convertiplane_training,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"With 45s icing, 30% battery reserve, and 2 communication dropouts, what action ensures safety during corridor inspection?","This is a convertiplane UAV inspection mission in a wind farm environment with strong crosswinds and gusts. The UAV operates under poor visibility and active hail, with increasing wind speed and shifting direction at higher altitudes. Equipped with lidar, RGB camera, and full navigation sensors, it carries a 1 kg payload for data collection. The mission requires runway-assisted takeoff and landing within a confined 500x400 m geofenced area. A cylindrical no-fly zone blocks the central area, and a moving spherical obstacle drifts westward at 5 m/s. The UAV must complete a corridor inspection pattern within 10 minutes while maintaining separation from oncoming traffic. GNSS signals suffer from multipath and moderate jamming, and electromagnetic interference is present. An icing event occurs mid-mission, reducing performance for 45 seconds. Battery reserve is set to 30%, and communication links experience two brief dropouts during the flight.",Continue mission despite sensor degradation,Abort immediately regardless of mission status,Divert to nearest safe landing zone,Climb rapidly to avoid moving obstacle,Transmit data burst and proceed,Circle downwind of turbine for shelter,Maintain course using lidar-only navigation,"[""Continue mission despite sensor degradation"", ""Abort immediately regardless of mission status"", ""Divert to nearest safe landing zone"", ""Climb rapidly to avoid moving obstacle"", ""Transmit data burst and proceed"", ""Circle downwind of turbine for shelter"", ""Maintain course using lidar-only navigation""]","The UAV faces compounded risks: icing, GNSS degradation, and communication loss. Safety-of-life principles require aborting high-risk operations when environmental hazards exceed design limits. Diverting to the nearest safe landing zone minimizes potential harm to people and infrastructure while respecting operational boundaries and emergency hierarchy." 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/high_crosswind_solar_wing_training_e91efb8c13cb_mcq.json,uavbench-mcq-v1,high_crosswind_solar_wing_training,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,A solar-wing UAV must inspect a 50x30 m warehouse with 8.5 m/s crosswinds and a moving obstacle. How should it prioritize tasks?,"This is an indoor inspection mission using a solar-wing UAV in a warehouse environment. The UAV is equipped with RGB camera payload and standard navigation sensors including GNSS, IMU, magnetometer, and barometer. The confined airspace spans 50x30 meters with a low ceiling from 1 to 15 meters AGL and includes a cylindrical no-fly zone at the center. A moving spherical obstacle drifts slowly along the corridor, requiring real-time avoidance. The mission must be completed within 600 seconds and requires use of a designated runway for takeoff and landing. Strong crosswinds from 270 degrees at 8.5 m/s with gusts up to 4 m/s challenge flight stability. The UAV must maintain separation of at least 5 meters from traffic, with a time-to-closest-approach threshold of 10 seconds. Battery reserve is set to 30%, limiting usable energy to 560 Wh for the mission. The UAV spawns near the runway threshold and must avoid both static and dynamic obstacles while navigating a predefined corridor of waypoints.",Climb to 15 m for better camera coverage and obstacle visibility,Fly at 2 m AGL to minimize wind impact and conserve energy,Delay takeoff until wind gusts drop below 3 m/s for stability,Reroute around the cylindrical no-fly zone using shortest path,Maintain 5 m separation while adjusting speed to synchronize with obstacle drift,Use GNSS-only navigation to reduce sensor power consumption,Land immediately after waypoint completion to preserve battery,"[""Climb to 15 m for better camera coverage and obstacle visibility"", ""Fly at 2 m AGL to minimize wind impact and conserve energy"", ""Delay takeoff until wind gusts drop below 3 m/s for stability"", ""Reroute around the cylindrical no-fly zone using shortest path"", ""Maintain 5 m separation while adjusting speed to synchronize with obstacle drift"", ""Use GNSS-only navigation to reduce sensor power consumption"", ""Land immediately after waypoint completion to preserve battery""]","Maintaining 5 m separation with dynamic speed adjustment ensures collision avoidance while respecting time-to-closest-approach thresholds. It enables real-time coordination between navigation and perception systems, preserving mission continuity and energy budget. Other options violate safety margins, energy constraints, or task sequencing under dynamic conditions." 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/high_crosswind_training_hexacopter_forest_rain_5b6765390648_mcq.json,uavbench-mcq-v1,high_crosswind_training_hexacopter_forest_rain,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"At 110 m AGL with 12.5 m/s west gusts, icing, and GNSS degradation, what action maintains safety and mission success?","This is a UAV survey mission conducted in forest airspace with a hexacopter equipped with RGB camera and LiDAR payload. The UAV operates under challenging weather including strong crosswinds from the west, gusts, rain, and icing conditions. Wind speed increases with altitude, ranging from 9.5 m/s at ground level to 12.5 m/s at 100 meters. The flight is constrained by a static no-fly zone near the center and a moving no-fly zone drifting northeast. GNSS signals are degraded due to multipath and moderate jamming, with additional electromagnetic interference present. The UAV must maintain separation from a moving obstacle and an intruder UAV while navigating a grid pattern within a 10–120 meter AGL altitude range. The mission includes a simulated icing event that reduces performance for one minute. Communication experiences brief dropouts, and battery reserves are tightly managed to ensure safe return. Flight success depends on avoiding geofence breaches, maintaining DAA thresholds, and completing the survey within the time limit. The UAV spawns at the southeast corner and is expected to return to its takeoff location.",Descend to 80 m AGL and continue grid pattern,Climb to 120 m AGL to reduce wind shear effects,Divert immediately to southeast takeoff location,Hold position at 110 m AGL until icing clears,Increase speed to complete survey faster,Fly northeast to bypass static no-fly zone at 100 m,Descend to 10 m AGL to improve GNSS signal,"[""Descend to 80 m AGL and continue grid pattern"", ""Climb to 120 m AGL to reduce wind shear effects"", ""Divert immediately to southeast takeoff location"", ""Hold position at 110 m AGL until icing clears"", ""Increase speed to complete survey faster"", ""Fly northeast to bypass static no-fly zone at 100 m"", ""Descend to 10 m AGL to improve GNSS signal""]",Descending to 80 m AGL reduces exposure to higher winds and icing risk while staying within the 10–120 m operational band. It maintains separation from obstacles and conserves battery under degraded GNSS and communication dropouts. Continuing the grid ensures mission completion without violating no-fly zones or energy margins. 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/hexacopter_lost_link_rtl_suburban_1fbd36f71094_mcq.json,uavbench-mcq-v1,hexacopter_lost_link_rtl_suburban,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"At 200 s, RTL activates with 6.5 m/s wind from 240°; what pitch attitude optimizes groundspeed and battery use?","This is a hexacopter inspection mission in suburban airspace with good visibility but a lightning risk. The UAV is equipped with a battery-powered electric propulsion system and carries an RGB camera payload. It operates within a 300x300 meter geofenced zone, bounded between 10 and 120 meters AGL. A static no-fly zone cylinder is centered at (150,150) with a 30-meter radius, and a dynamic no-fly zone moves near (250,50). The UAV must avoid a moving obstacle near (200,100) and maintain separation from other air traffic. Winds are from 240 degrees at 6.5 m/s with 4.0 m/s gusts, increasing flight challenges. The mission involves a corridor pattern inspection with five waypoints and a 10-minute time budget. At 200 seconds into the flight, a lost communication link triggers an automatic return-to-launch. GNSS signals may experience multipath due to suburban structures, and RF interference causes downlink/uplink loss between 200–320 seconds. The UAV must manage battery reserves carefully, especially during RTL under windy conditions.",Descend to 10 m AGL to reduce wind exposure,Climb to 120 m AGL for smoother airflow,Pitch up 15° to maximize lift in headwind,Pitch forward 8° to maintain airspeed and thrust efficiency,Hover at current position to await link recovery,Bank 30° into wind to counter lateral drift,Accelerate vertically with full throttle to escape gusts,"[""Descend to 10 m AGL to reduce wind exposure"", ""Climb to 120 m AGL for smoother airflow"", ""Pitch up 15° to maximize lift in headwind"", ""Pitch forward 8° to maintain airspeed and thrust efficiency"", ""Hover at current position to await link recovery"", ""Bank 30° into wind to counter lateral drift"", ""Accelerate vertically with full throttle to escape gusts""]","Pitching forward 8° maintains optimal airspeed and propeller efficiency against the 6.5 m/s headwind component from 240°, balancing thrust and drag. This attitude minimizes induced drag and power consumption while ensuring positive lift and controlled groundspeed. Other choices either increase drag, waste energy, or risk stall or loss of control." 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/high_crosswind_training_octocopter_1ada6b60487c_mcq.json,uavbench-mcq-v1,high_crosswind_training_octocopter,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 200s, icing reduces performance; a UAV approaches from south at 12 m/s. Maintain 25m separation while inspecting near (150,150,50).","This is an inspection mission conducted near an airport perimeter using an octocopter equipped with GNSS, IMU, lidar, RGB camera, and barometer. The UAV has a total mass of 12.5 kg, including a 1.2 kg payload, and is powered by an 1800 Wh battery. Operations occur in challenging weather with 8.5 m/s crosswinds from the west, gusts up to 4.2 m/s, poor visibility, and potential icing conditions. The flight zone spans from 10 to 120 meters AGL within a defined polygon, with a cylindrical no-fly zone centered at (200, 150) between 10 and 80 meters altitude. The mission follows a corridor pattern with five waypoints, starting and ending near the spawn point at (50, 50, 25), and must be completed within 600 seconds. A moving spherical obstacle descends slowly at (150, 150, 50), and another UAV enters the airspace from the south at 12 m/s. The UAV must maintain 25 meters separation and avoid traffic, geofence, and altitude violations, with GNSS multipath likely near structures. An icing event occurs at 200 seconds, reducing performance for one minute, and a brief comms loss happens between 400–410 seconds. The scenario tests resilience to crosswinds, obstacle avoidance, and system faults in a constrained, real-world airport environment.",Continue mission; rely on autopilot to avoid collision.,Descend rapidly to land before icing worsens.,Climb to 120m AGL for better GNSS signal and clearance.,Abort mission and divert east to increase separation.,"Hover at (150,150,50) to assess moving obstacle visually.",Proceed to next waypoint; the other UAV is outside 25m.,Transmit emergency alert and maintain current course.,"[""Continue mission; rely on autopilot to avoid collision."", ""Descend rapidly to land before icing worsens."", ""Climb to 120m AGL for better GNSS signal and clearance."", ""Abort mission and divert east to increase separation."", ""Hover at (150,150,50) to assess moving obstacle visually."", ""Proceed to next waypoint; the other UAV is outside 25m."", ""Transmit emergency alert and maintain current course.""]","Icing degrades performance and the intruder UAV creates a collision risk within the constrained airspace. Diverting east increases separation while respecting no-fly zones and prioritizing collision avoidance over mission completion. Continuing (A, F), hovering (E), or climbing (C) increases risk; landing (B) is premature without assessing separation, and (G) fails to act proactively." 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/high_crosswind_training_swarm_rural_rain_948c9271365d_mcq.json,uavbench-mcq-v1,high_crosswind_training_swarm_rural_rain,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During rain and 12.5 m/s westerly gusts, GNSS degrades with multipath; one drone faces 60s icing. How best to maintain swarm positioning?","Swarm drone survey mission in rural airspace with high crosswinds and rain. Operating altitude ranges from 5 to 120 meters AGL within a defined geofenced polygon. Weather includes strong westerly winds up to 12.5 m/s, gusts, poor visibility, and rain with icing conditions. Four small quadcopters with RGB cameras conduct coordinated corridor survey using GNSS/IMU navigation. GNSS signals are degraded due to multipath and mild jamming, with additional EM interference. A static no-fly zone and a moving dynamic exclusion zone challenge path planning. Another UAV and a moving spherical obstacle require separation monitoring and collision avoidance. Battery endurance is limited; reserve margin set at 30% to ensure safe return in adverse conditions. An icing event occurs mid-mission, reducing performance for one drone over 60 seconds. Communication experiences brief dropouts, requiring robust link management and local decision-making.",Increase GNSS weighting despite multipath; trust raw satellite fixes,Switch entirely to IMU dead reckoning for all drones,"Fuse visual odometry with IMU, reduce reliance on GNSS","Halt survey, hover using barometer-only altitude hold",Rely on magnetic heading during EM interference,Use last known GNSS position for all drones,Ascend to 150 m AGL for better GNSS signal,"[""Increase GNSS weighting despite multipath; trust raw satellite fixes"", ""Switch entirely to IMU dead reckoning for all drones"", ""Fuse visual odometry with IMU, reduce reliance on GNSS"", ""Halt survey, hover using barometer-only altitude hold"", ""Rely on magnetic heading during EM interference"", ""Use last known GNSS position for all drones"", ""Ascend to 150 m AGL for better GNSS signal""]",Visual-IMU fusion mitigates GNSS multipath and jamming by leveraging camera data for drift correction. It maintains positioning integrity during icing and wind disturbances. This adaptive fusion preserves accuracy when GNSS is unreliable and avoids IMU drift accumulation. 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/hexacopter_satellite_relay_bridge_site_f9e926764043_mcq.json,uavbench-mcq-v1,hexacopter_satellite_relay_bridge_site,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,D,False,"At 8.5 m/s wind from 240°, what minimizes power while maintaining 18 m/s airspeed and 25m separation in turbulence?","Hexacopter UAV conducts a relay mission at a bridge construction site. Operating within a defined 200m x 150m polygonal airspace with a 10–120m AGL altitude range. Moderate winds of 8.5 m/s from 240° with gusts up to 4.0 m/s and a risk of microbursts. Equipped with GNSS, IMU, lidar, RGB camera, and communication relay payload. Features a 6-rotor configuration, 5.2 kg total mass, and 800 Wh battery supporting 18 m/s max speed. Must avoid a cylindrical no-fly zone at the center (radius 20m, 10–60m altitude). Swarm operation with three UAVs requiring minimum 25m inter-UAV separation. Faces transient comms downlink outages between 120–130s and 450–465s mission time. Dynamic obstacle moving vertically near (100, 40, 35) with upward velocity. Mission must complete within 600 seconds while maintaining DAA compliance and geofence adherence.",Fly upwind at max thrust to hold position,Reduce airspeed to 12 m/s in gusts,Bank 30° into wind to counter drift,Align flight path with wind vector 240°,Ascend to 120m to avoid microburst effects,Hover at 60m to wait out gust cycles,Pitch down slightly and reduce throttle,"[""Fly upwind at max thrust to hold position"", ""Reduce airspeed to 12 m/s in gusts"", ""Bank 30° into wind to counter drift"", ""Align flight path with wind vector 240°"", ""Ascend to 120m to avoid microburst effects"", ""Hover at 60m to wait out gust cycles"", ""Pitch down slightly and reduce throttle""]","Aligning with the 240° wind vector reduces relative wind angle, minimizing drag and conserving power. This maintains 18 m/s airspeed efficiently while reducing gust-induced lift fluctuations. Other options either increase induced drag, risk stall, or violate mission time or separation constraints." 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/high_crosswind_training_quadrotor_industrial_8d349b30cd29_mcq.json,uavbench-mcq-v1,high_crosswind_training_quadrotor_industrial,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 120s, icing reduces lift by 15% while crosswinds increase to 18 m/s. What must the UAV do immediately to maintain altitude and course?","This scenario involves a quadrotor UAV conducting an inspection mission within an industrial plant airspace. The UAV is equipped with a standard sensor suite including GNSS, IMU, and RGB camera, but lacks LiDAR and thermal imaging. It operates under challenging weather conditions featuring strong crosswinds from the west, increasing with altitude, along with gusts, hail, and icing risks. The mission is constrained by a fixed time budget of 600 seconds and requires navigating a corridor pattern through four waypoints while avoiding static and dynamic no-fly zones. A central cylindrical no-fly zone is present, along with a moving obstacle and a dynamically shifting no-fly cylinder. The environment introduces significant navigation challenges due to GNSS multipath, electromagnetic interference, and brief communication loss windows. Thermal updrafts near processing units create localized turbulence, and wind shear varies significantly across the altitude range. The UAV must maintain strict separation from intruder traffic and manage reduced performance during an induced icing event at 120 seconds. Battery reserves are critical, and successful mission completion depends on precise control amid environmental and operational constraints.",Increase collective pitch to raise lift coefficient,Decrease airspeed to reduce drag and save energy,Roll into the wind to increase wing loading,Descend to lower altitude with higher air density,Yaw right to align with gust vector,Pitch down to decrease angle of attack,Maintain current attitude and increase throttle,"[""Increase collective pitch to raise lift coefficient"", ""Decrease airspeed to reduce drag and save energy"", ""Roll into the wind to increase wing loading"", ""Descend to lower altitude with higher air density"", ""Yaw right to align with gust vector"", ""Pitch down to decrease angle of attack"", ""Maintain current attitude and increase throttle""]","Increased throttle compensates for lost lift due to icing while countering higher drag from crosswinds. Maintaining attitude avoids destabilizing angle of attack shifts. Other options either reduce lift further or induce instability in gusting, low-Reynolds flight." 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/jungle_escort_vtol_99d938dbf70b6dc3_bb31357702da_mcq.json,uavbench-mcq-v1,jungle_escort_vtol_99d938dbf70b6dc3,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"At 40m AGL, 10 m/s gusts, and 15% energy remaining, how should the lead UAV adjust for wind shift and formation integrity?","VTOL tiltrotor UAV conducts a delivery mission in a dense jungle environment with poor visibility and rainfall. The mission involves navigating a corridor pattern through dynamic and static no-fly zones. The UAV operates between 5 and 150 meters AGL within a defined polygonal airspace. Strong winds up to 12 m/s and gusts create challenging flight conditions, with wind direction shifting with altitude. The UAV is equipped with RGB and thermal cameras, LiDAR, and full GNSS/IMU suite, but faces GNSS multipath and electromagnetic interference. A swarm of three UAVs flies in formation with 15-meter minimum separation, requiring coordinated control. A moving obstacle and an opposing UAV add complexity to deconfliction. Communication experiences brief loss windows, requiring robust data link management. The mission concludes with a runway landing, constrained by energy reserves and environmental hazards.",Descend to 20m to reduce wind exposure and save energy,Climb to 100m for smoother air and better GNSS reception,Maintain altitude and increase speed to 18 m/s for control,Reduce separation to 10m to improve swarm coherence,Enter hover mode to await communication reestablishment,Follow a lower-energy glide path at 30m AGL with adaptive heading,Turn perpendicular to wind to minimize drift and stabilize cameras,"[""Descend to 20m to reduce wind exposure and save energy"", ""Climb to 100m for smoother air and better GNSS reception"", ""Maintain altitude and increase speed to 18 m/s for control"", ""Reduce separation to 10m to improve swarm coherence"", ""Enter hover mode to await communication reestablishment"", ""Follow a lower-energy glide path at 30m AGL with adaptive heading"", ""Turn perpendicular to wind to minimize drift and stabilize cameras""]","Flying at 30m balances reduced wind shear and terrain clearance while conserving energy via glide efficiency. Adaptive heading compensates for wind shift without excessive thrust, maintaining formation and sensor stability. Other options compromise safety, energy, or coordination under dynamic constraints." 2025-11-01T18:05:56Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/indoor_glider_snowfall_test_d142750c9920_mcq.json,uavbench-mcq-v1,indoor_glider_snowfall_test,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 300 s, icing reduces lift; UAV must maintain 8 m/s airspeed in 3 m/s crosswind at 15 m AGL.","Mission involves a glider UAV conducting an indoor survey within a warehouse. The airspace is confined to a 50x40 meter polygon with a maximum altitude of 15 meters AGL. Weather includes light snowfall, poor visibility, and a 3 m/s wind from 90 degrees with gusts up to 2 m/s. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors despite indoor operation. GNSS signals suffer from multipath effects and interference, with jamming at -80 dBm and EM noise present. A cylindrical no-fly zone is located at (25,20) with a 3-meter radius, restricting flight path planning. The mission includes a grid survey pattern with five waypoints and requires use of a designated runway for landing. An icing event fault is introduced at 300 seconds, reducing performance for one minute. Communications experience brief downlink losses at 120 and 400 seconds, testing link resilience. A single moving spherical obstacle drifts slowly through the environment at 0.5 m/s, requiring dynamic avoidance.",Increase angle of attack by 3° to compensate for lift loss,Reduce airspeed to 6 m/s to minimize drag and conserve energy,Descend immediately to increase air density and lift,Turn 90° into wind to eliminate crosswind and stabilize flight,Extend flaps fully to maximize camber despite speed increase,"Maintain current pitch and power, accepting altitude loss",Bank 30° toward obstacle to combine avoidance with lift gain,"[""Increase angle of attack by 3° to compensate for lift loss"", ""Reduce airspeed to 6 m/s to minimize drag and conserve energy"", ""Descend immediately to increase air density and lift"", ""Turn 90° into wind to eliminate crosswind and stabilize flight"", ""Extend flaps fully to maximize camber despite speed increase"", ""Maintain current pitch and power, accepting altitude loss"", ""Bank 30° toward obstacle to combine avoidance with lift gain""]","Increasing angle of attack restores lift lost due to reduced wing efficiency from icing, within stall margin. At 8 m/s, the Reynolds number supports controlled boundary layer attachment. Other options either exceed critical AoA, reduce airspeed below sustainable level, or introduce instability." 2025-11-01T18:05:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/jungle_fog_octocopter_mission_6100561174ca_mcq.json,uavbench-mcq-v1,jungle_fog_octocopter_mission,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"Octocopter in jungle fog at 110 m AGL, 15 m/s wind, must avoid obstacles within 25 m and reach next waypoint in 580 s.","This is an inspection mission using an octocopter UAV equipped with GNSS, IMU, lidar, and RGB camera payload. The flight occurs in a jungle airspace with dense fog and poor visibility, under moderate wind and gust conditions. The UAV operates within a defined corridor between 10 and 120 meters AGL, confined by a polygonal geofence. A static no-fly zone (cylinder) and a moving no-fly zone block parts of the airspace, requiring dynamic path planning. Another UAV and a moving spherical obstacle create traffic and collision risks. The mission must be completed within 600 seconds, following a predefined set of waypoints. GNSS multipath and signal loss may occur due to jungle canopy and fog, impacting navigation reliability. Battery endurance is critical, with a reserve fraction of 30% and limited by high drag and power consumption. Communication experiences brief downlink outages, requiring robust data handling. Minimum separation for detect-and-avoid is 25 meters with a 15-second time-to-closest-approach threshold.",Increase airspeed to 18 m/s to reduce time-to-waypoint,Descend to 15 m AGL to minimize wind-induced drift,Pitch up 12° to increase lift in low-density air,Reduce throttle to 70% to conserve battery for reserve,Bank 30° toward clear sector for faster obstacle avoidance,Hover for 20 s to reacquire GNSS signal stability,Fly at 12° angle of attack to optimize lift-to-drag ratio,"[""Increase airspeed to 18 m/s to reduce time-to-waypoint"", ""Descend to 15 m AGL to minimize wind-induced drift"", ""Pitch up 12° to increase lift in low-density air"", ""Reduce throttle to 70% to conserve battery for reserve"", ""Bank 30° toward clear sector for faster obstacle avoidance"", ""Hover for 20 s to reacquire GNSS signal stability"", ""Fly at 12° angle of attack to optimize lift-to-drag ratio""]","At 110 m AGL in fog, air density is reduced, increasing required angle of attack for lift. A 12° AoA balances lift generation and drag, maintaining efficient thrust use. Other options either increase power demand beyond endurance limits or risk collision by misjudging wind or control response." 2025-11-01T18:05:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/jungle_firefighting_glider_drop_56800382ccb6_mcq.json,uavbench-mcq-v1,jungle_firefighting_glider_drop,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"Given 60s icing fault, 15 m/s winds, and 600s mission limit, how should the glider adjust its path and sensor use to maximize fire assessment coverage?","This is a firefighting drop mission using a fixed-wing glider UAV in a jungle environment. The UAV carries a payload with RGB and thermal cameras for fire detection and assessment. The airspace is constrained between 10 and 300 meters AGL within a defined polygon geofence, including a static no-fly zone and a moving no-fly cylinder. Challenging weather includes strong winds up to 15 m/s, wind shear with changing direction by altitude, poor visibility, hail, and icing conditions. A critical icing fault event occurs mid-mission, reducing performance for 60 seconds. GNSS signals are degraded due to multipath effects, jamming at -75 dBm, and electromagnetic interference. The UAV must navigate around a moving spherical obstacle and avoid a second UAV flying through the airspace. Thermal updrafts are present and can be exploited for energy savings. The mission must be completed within 600 seconds, with communication dropouts occurring twice during flight. Landing options include one preferred site and two emergency zones.",Climb to 300m using thermal updrafts to extend camera range,Descend to 10m AGL immediately to avoid wind shear effects,Delay thermal imaging until after first communication dropout,Circle inside no-fly zone to wait out icing and wind gusts,Head directly to emergency landing zone after icing event,Coordinate with second UAV to share thermal data during dropouts,Fly constant bearing at 150m AGL ignoring updraft and obstacle motion,"[""Climb to 300m using thermal updrafts to extend camera range"", ""Descend to 10m AGL immediately to avoid wind shear effects"", ""Delay thermal imaging until after first communication dropout"", ""Circle inside no-fly zone to wait out icing and wind gusts"", ""Head directly to emergency landing zone after icing event"", ""Coordinate with second UAV to share thermal data during dropouts"", ""Fly constant bearing at 150m AGL ignoring updraft and obstacle motion""]","F enables inter-agent situational awareness by synchronizing thermal data during GNSS and comms outages, preserving mission continuity. It leverages cooperative sensing to offset individual UAV limitations under icing and jamming. Other options violate altitude, timing, or no-fly constraints, or waste energy and coverage opportunities." 2025-11-01T18:05:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/jungle_powerline_inspection_strong_crosswind_ebfa3b03e0ab_mcq.json,uavbench-mcq-v1,jungle_powerline_inspection_strong_crosswind,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,B,False,"At 110 m AGL, 17.5 m/s crosswind, and 4.2 kg payload, how should the UAV adjust pitch and airspeed to maintain lift and control?","This scenario involves a heavy-lift UAV conducting a powerline inspection mission in a dense jungle environment. The UAV is equipped with RGB and thermal cameras, LIDAR, and standard navigation sensors, carrying a 4.2 kg inspection payload. It operates within a defined rectangular airspace bounded between 10 and 120 meters AGL, with a static no-fly zone near the center and a moving NFZ drifting slowly across the area. Strong crosswinds up to 17.5 m/s increase with altitude and shift direction, posing significant flight control challenges. GNSS multipath effects and electromagnetic interference degrade navigation accuracy, requiring robust sensor fusion. The UAV must follow a corridor-style waypoint path while avoiding a dynamic obstacle and an intruding UAV flying through the airspace. A moving spherical obstacle also traverses the area, demanding real-time path adjustments. The mission must be completed within 600 seconds, with battery reserves maintained above 30%. Launch occurs from a designated point, with a preferred return-to-land site and an emergency alternative. Success depends on maintaining separation, avoiding collisions and NFZ breaches, and completing the inspection under challenging wind and signal conditions.",Increase pitch by 3° and reduce airspeed to 12 m/s,Maintain current pitch and increase airspeed to 18 m/s,Decrease pitch by 2° and increase thrust by 15%,Bank 20° into the wind without changing pitch,"Reduce throttle to save power, accepting slight descent",Increase angle of attack beyond 15° for more lift,Align heading with wind and reduce AoA by 4°,"[""Increase pitch by 3° and reduce airspeed to 12 m/s"", ""Maintain current pitch and increase airspeed to 18 m/s"", ""Decrease pitch by 2° and increase thrust by 15%"", ""Bank 20° into the wind without changing pitch"", ""Reduce throttle to save power, accepting slight descent"", ""Increase angle of attack beyond 15° for more lift"", ""Align heading with wind and reduce AoA by 4°""]","At high altitude and in strong crosswinds, maintaining airspeed increases dynamic pressure, improving lift and control authority. Increasing to 18 m/s compensates for reduced air density and wind-induced turbulence. Option B sustains adequate Reynolds number for stable boundary layer flow and avoids stall, ensuring sensor stability and obstacle avoidance." 2025-11-01T18:05:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/jungle_rain_swarm_patrol_661b2c8e89a2_mcq.json,uavbench-mcq-v1,jungle_rain_swarm_patrol,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"At 110m AGL with 11 m/s winds and intermittent GNSS jamming, which navigation mode ensures control and data integrity?","Multi-UAV search and rescue mission in dense jungle terrain with heavy rain and lightning risk. Four-drone swarm operates between 10–120 meters AGL within a rectangular geofenced area. Persistent winds increase with altitude, peaking at 11 m/s from the west, with gusts and directional shear. Drones are equipped with GNSS, IMU, LiDAR, RGB and thermal cameras for navigation and detection. Significant GNSS multipath and intermittent jamming occur, with brief comms outages and IMU bias faults. A static no-fly zone blocks the center waypoint, while a moving obstacle and dynamic NFZ complicate flight paths. Swarm must maintain 10-meter inter-drone separation and avoid a conflicting UAV traffic agent. Mission requires corridor patrol pattern with loitering, under a 10-minute battery and visibility constraint. Emergency landing zone available if battery or system faults force early termination. Thermal updrafts near the search area offer potential lift, but lightning risk limits high-altitude options.",Use GNSS-only positioning with standard encryption,Switch to LiDAR-aided INS during jamming events,Increase radio power to override communication jamming,Rely on GPS waypoints with unverified altitude locks,Disable thermal sensors to reduce processor load,Broadcast position updates at maximum frequency,Use last-known GNSS fix until signal returns,"[""Use GNSS-only positioning with standard encryption"", ""Switch to LiDAR-aided INS during jamming events"", ""Increase radio power to override communication jamming"", ""Rely on GPS waypoints with unverified altitude locks"", ""Disable thermal sensors to reduce processor load"", ""Broadcast position updates at maximum frequency"", ""Use last-known GNSS fix until signal returns""]","LiDAR-aid游戏副本 integrity by cross-validating INS during GNSS outages, maintaining control stability under jamming. It avoids spoofing risks from stale or unverified positions while enabling obstacle-aware path correction. Other options either expose data to injection, neglect sensor fusion, or degrade resilience under cyber-physical stress." 2025-11-01T18:05:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/helicopter_warehouse_inspection_crosswind_9b64ff4289a4_mcq.json,uavbench-mcq-v1,helicopter_warehouse_inspection_crosswind,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 205s, UAV faces 8.5 m/s crosswind and 4 m/s gusts inside geofence; comms dropout occurs. What action ensures safety and mission compliance?","This scenario involves a helicopter UAV conducting a warehouse inspection mission in a harbor airspace. The UAV is equipped with a lidar sensor and RGB camera for visual data collection. It operates under crosswind conditions of 8.5 m/s from 240 degrees, with occasional 4 m/s gusts. The flight is constrained between 5 and 60 meters AGL within a defined polygonal geofence. A static no-fly zone blocks the center of the area, and a dynamic no-fly zone moves diagonally across the space. Another UAV and a moving spherical obstacle create additional collision risks. The mission follows a corridor pattern with five waypoints, requiring tight navigation and separation management. Communication experiences brief dropouts between 200–210 and 500–515 seconds. Battery endurance and GNSS signal integrity are critical due to hover demands and potential multipath in the harbor environment.",Climb to 65 m AGL to avoid gust effects,Hold position at 55 m AGL until comms restore,Descend to 10 m AGL and proceed to next waypoint,Divert immediately to nearest runway outside harbor,Turn back to launch point at 30 m AGL,Accelerate through dynamic NFZ to save battery,"Reduce speed, maintain 45 m AGL, and delay waypoint entry by 15s","[""Climb to 65 m AGL to avoid gust effects"", ""Hold position at 55 m AGL until comms restore"", ""Descend to 10 m AGL and proceed to next waypoint"", ""Divert immediately to nearest runway outside harbor"", ""Turn back to launch point at 30 m AGL"", ""Accelerate through dynamic NFZ to save battery"", ""Reduce speed, maintain 45 m AGL, and delay waypoint entry by 15s""]","Option G respects the 5–60 m AGL limit, avoids the dynamic NFZ by delaying entry, and mitigates collision risk during comms dropout. It maintains safe separation from obstacles and conserves battery by avoiding aggressive maneuvers. Other options violate altitude, NFZ, or separation constraints, or increase exposure to multipath and wind." 2025-11-01T18:05:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/high_altitude_thermal_survey_e25f2eb4922c_mcq.json,uavbench-mcq-v1,high_altitude_thermal_survey,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,A,False,"Which path avoids the NFZ at (1000, 500) between 150–2500 m while maintaining 1200 m and 1800 m grid survey altitudes and 50 m separation from obstacles?","This is a high-altitude thermal survey mission using a high-altitude pseudo-satellite UAV. The flight occurs in a wind farm environment with good visibility and active thermal updrafts. Winds are from 240 degrees at 8 m/s with gusts up to 4 m/s. The UAV is equipped with both RGB and thermal cameras for survey purposes. It operates within a defined airspace polygon, between 100 m and 3000 m AGL. A cylindrical no-fly zone centered at (1000, 500) restricts access from 150 m to 2500 m altitude. The mission follows a grid waypoint pattern at 1200 m and 1800 m altitude with a 10-minute time budget. An additional UAV and a moving spherical obstacle are present, requiring minimum separation of 50 m and 30 s time-to-collision avoidance. Electromagnetic interference is present, though GNSS multipath is not a factor. The UAV must use a runway for takeoff and landing, with preferred and emergency sites designated.",Climb directly to 1800 m and follow eastern grid first,Fly straight through NFZ center at 2000 m to save time,"Descend to 100 m, bypass NFZ south, then climb to 1200 m",Delay takeoff by 8 min to allow obstacle trajectory prediction,"Reroute west of NFZ at 1100 m, then ascend to 1200 m grid","Maintain 1200 m westward, ignoring moving obstacle proximity","Skip 1200 m layer, survey only at 1800 m to reduce complexity","[""Climb directly to 1800 m and follow eastern grid first"", ""Fly straight through NFZ center at 2000 m to save time"", ""Descend to 100 m, bypass NFZ south, then climb to 1200 m"", ""Delay takeoff by 8 min to allow obstacle trajectory prediction"", ""Reroute west of NFZ at 1100 m, then ascend to 1200 m grid"", ""Maintain 1200 m westward, ignoring moving obstacle proximity"", ""Skip 1200 m layer, survey only at 1800 m to reduce complexity""]","Option A uses the permitted altitude band above the NFZ (150–2500 m) by operating at 1800 m, avoids the cylindrical exclusion zone laterally, and preserves survey efficiency. It maintains separation from the moving obstacle by enabling early detection and lateral adjustment within the grid. Other choices either penetrate the NFZ, descend into restricted low-altitude zones, or compromise survey coverage and timing." 2025-11-01T18:05:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/helicopter_gps_spoof_sandstorm_volcanic_af449e994a47_mcq.json,uavbench-mcq-v1,helicopter_gps_spoof_sandstorm_volcanic,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"At 220 s, GNSS jamming and uplink loss occur at 800 m AGL; which action maintains corridor alignment with DAA compliance?","Helicopter UAV conducts an inspection mission in a volcanic zone with active sandstorm conditions. Operations occur within a defined rectangular airspace containing a static no-fly zone and a moving restricted area. Severe wind shear is present, increasing from 12 m/s at ground level to 20 m/s at 1000 m altitude. The UAV is equipped with GNSS, IMU, lidar, RGB and thermal cameras, but experiences GNSS spoofing and electromagnetic interference. A fuel-powered helicopter with 100 kg payload must navigate using sensor fusion due to poor visibility and GNSS degradation. The mission requires flying a corridor pattern through three waypoints under strict altitude constraints (50–1200 m AGL). A second UAV and a moving spherical obstacle create dynamic collision risks requiring DAA compliance. Uplink communication is lost between 200–260 seconds, forcing temporary autonomous operation. GNSS jamming fault occurs at 200 seconds and lasts one minute, increasing navigation uncertainty. Emergency landing site is available outside the primary zone in case of system failure.",Descend to 50 m AGL to reduce wind shear exposure,Hold position at 800 m AGL until GNSS restores,Continue planned route using IMU-lidar sensor fusion,Climb to 1200 m AGL for improved signal clarity,"Deviate west avoiding moving obstacle, rejoin at WP2",Turn back to launch under visual guidance,Ascend to 1300 m AGL to clear restricted area,"[""Descend to 50 m AGL to reduce wind shear exposure"", ""Hold position at 800 m AGL until GNSS restores"", ""Continue planned route using IMU-lidar sensor fusion"", ""Climb to 1200 m AGL for improved signal clarity"", ""Deviate west avoiding moving obstacle, rejoin at WP2"", ""Turn back to launch under visual guidance"", ""Ascend to 1300 m AGL to clear restricted area""]","Sensor fusion with IMU and lidar compensates for GNSS spoofing and communication loss, enabling continued navigation within the 50–1200 m AGL corridor. Option C maintains mission progress while respecting altitude limits and DAA collision avoidance. Other choices violate AGL bounds, increase risk, or cause mission abortion." 2025-11-01T18:05:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/hexacopter_survey_desert_dust_92204079390d_mcq.json,uavbench-mcq-v1,hexacopter_survey_desert_dust,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"Given 8m/s west winds, 2.8kg mass, and 50m altitude, what airspeed adjustment ensures grid timing and lift stability in dust?","This is a survey mission conducted in a desert environment using a hexacopter UAV equipped with RGB and thermal cameras. The operation takes place within a defined 1000m x 1000m geofenced area with a minimum altitude of 10m and maximum of 150m AGL. A cylindrical no-fly zone with a 50m radius is centered at (500, 500) extending up to 120m altitude. The hexacopter has a total mass of 2.8kg, including a 0.5kg payload, and is powered by a 540Wh battery with a 30% reserve requirement. Winds are blowing from the west at 8m/s with gusts up to 4m/s, and visibility is poor due to dust. The mission follows a grid pattern with four waypoints at 50m altitude and must be completed within 600 seconds. The UAV relies on GNSS, IMU, magnetometer, and barometer for navigation, but may experience signal degradation due to GNSS multipath in the open desert terrain. Dust conditions may impair sensor performance and reduce visibility for both navigation and imaging. The UAV must maintain a minimum separation of 25m from obstacles with a time-to-collision threshold of 30s.",Increase airspeed by 10m/s to counter wind drag and maintain groundspeed,Fly at 12m/s airspeed to balance power use and wind compensation,Reduce airspeed to 6m/s to minimize dust ingestion and power burn,Match airspeed to wind speed to zero groundspeed for image stability,Fly 20m/s straight downwind to maximize range and reduce mission time,Decrease angle of attack to increase lift coefficient in low visibility,Maintain 15m/s airspeed with 5° up-pitch to offset density altitude loss,"[""Increase airspeed by 10m/s to counter wind drag and maintain groundspeed"", ""Fly at 12m/s airspeed to balance power use and wind compensation"", ""Reduce airspeed to 6m/s to minimize dust ingestion and power burn"", ""Match airspeed to wind speed to zero groundspeed for image stability"", ""Fly 20m/s straight downwind to maximize range and reduce mission time"", ""Decrease angle of attack to increase lift coefficient in low visibility"", ""Maintain 15m/s airspeed with 5° up-pitch to offset density altitude loss""]","At 50m AGL in dusty, windy conditions, maintaining 15m/s airspeed with 5° up-pitch compensates for reduced air density and headwind components, ensuring adequate lift and sensor stability. This setting balances thrust, induced drag, and angle of attack within operational margins while meeting timing constraints. Other options either induce stall, exceed power limits, or disrupt navigation and imaging." 2025-11-01T18:05:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/jungle_firefighting_drop_octocopter_83241ba55333_mcq.json,uavbench-mcq-v1,jungle_firefighting_drop_octocopter,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"An octocopter must complete 5 waypoints in 600 s under 8 m/s winds while avoiding a moving obstacle and a second UAV; what ensures safe, timely coordination?","This mission involves an octocopter conducting firefighting water drops in a jungle environment. The UAV operates within a defined polygonal airspace, with altitude limits between 10 and 120 meters AGL. Weather conditions include strong winds at 8 m/s from 210 degrees, gusts up to 4.5 m/s, poor visibility, and a risk of lightning. The octocopter is equipped with RGB and thermal cameras, LiDAR, and GNSS/IMU navigation for payload delivery and terrain awareness. A static no-fly zone and a moving no-fly cylinder create dynamic airspace constraints. The UAV must avoid a sphere-shaped moving obstacle and maintain separation from another UAV traveling through the area. Mission success requires completing a corridor pattern of five waypoints within 600 seconds while managing battery reserves and avoiding geofence or altitude violations. GNSS multipath effects may occur due to dense jungle canopy, impacting navigation accuracy. The UAV must return to its preferred landing site or an emergency site if needed, all while operating under strict separation thresholds for detect-and-avoid compliance.",Fly maximum speed throughout to beat time limit,Descend below 10 m AGL near thermal hotspots for accuracy,Share real-time LiDAR updates with other UAV to synchronize paths,Ignore GNSS corrections to reduce processing lag in canopy,Enter moving no-fly cylinder to cut distance between waypoints,Delay water drop until lightning risk dissipates completely,Use RGB only to conserve battery for return flight,"[""Fly maximum speed throughout to beat time limit"", ""Descend below 10 m AGL near thermal hotspots for accuracy"", ""Share real-time LiDAR updates with other UAV to synchronize paths"", ""Ignore GNSS corrections to reduce processing lag in canopy"", ""Enter moving no-fly cylinder to cut distance between waypoints"", ""Delay water drop until lightning risk dissipates completely"", ""Use RGB only to conserve battery for return flight""]","Sharing LiDAR data enables cooperative obstacle tracking and path synchronization, critical under poor visibility and GNSS degradation. It maintains separation from the other UAV while adapting to the moving obstacle. This inter-agent awareness optimizes corridor timing without compromising safety margins." 2025-11-01T18:05:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/indoor_warehouse_mapping_helicopter_rain_40037c925ef8_mcq.json,uavbench-mcq-v1,indoor_warehouse_mapping_helicopter_rain,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"UAV must complete 50m x 40m indoor mapping in 600s with 30% battery reserve, dynamic obstacle, and 5m separation required.","This is an indoor warehouse mapping mission using a single battery-powered helicopter UAV equipped with lidar, RGB camera, IMU, magnetometer, and barometer. The UAV operates in a confined 50m x 40m warehouse with a maximum altitude of 10m AGL and a minimum safe height of 0.5m. GNSS is unavailable, and the environment has GNSS multipath and electromagnetic interference, complicating navigation. The weather outside is rainy with poor visibility and light wind, though the mission is indoors. A static no-fly zone blocks the center of the warehouse, and a dynamic no-fly zone moves slowly through the space. Another UAV and a moving spherical obstacle create traffic challenges requiring real-time separation management. The mission requires completing a grid mapping pattern within 600 seconds, starting and ideally ending at the designated spawn point. Battery reserves are set to 30%, and the UAV must avoid collisions while maintaining separation of at least 5m from other traffic. Communication includes brief downlink loss windows but maintains acceptable signal strength. Faults include a severe GNSS jamming event lasting one minute, despite limited GNSS utility indoors.",Proceed through static no-fly zone to save time,Descend to 0.3m to avoid moving obstacle,Abort mission after GNSS jamming event,"Continue grid pattern, maintaining 5m separation",Fly directly toward spawn point ignoring mapping,Ascend to 10.5m AGL for better sensor coverage,Prioritize camera over lidar due to interference,"[""Proceed through static no-fly zone to save time"", ""Descend to 0.3m to avoid moving obstacle"", ""Abort mission after GNSS jamming event"", ""Continue grid pattern, maintaining 5m separation"", ""Fly directly toward spawn point ignoring mapping"", ""Ascend to 10.5m AGL for better sensor coverage"", ""Prioritize camera over lidar due to interference""]","The mission must balance safety, legality, and objectives. Continuing the grid while maintaining separation upholds collision avoidance, respects dynamic constraints, and progresses toward completion without endangering assets or violating operational limits, which is ethically and operationally optimal." 2025-11-01T18:05:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/lost_link_rtl_underground_mine_hot_octocopter_a63f065bf4aa_mcq.json,uavbench-mcq-v1,lost_link_rtl_underground_mine_hot_octocopter,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,A,False,"At 200 seconds, with GNSS lost and visibility poor, which action ensures safe navigation using available sensors?","This scenario involves an inspection mission using an octocopter UAV in an underground mine environment. The UAV is equipped with a battery-powered electric propulsion system and carries a payload including RGB camera and LiDAR sensors. GNSS signals are unavailable due to the underground setting, with severe multipath and electromagnetic interference degrading navigation reliability. Weather includes light wind from the south and poor visibility, though environmental conditions are stable overall. The flight area is confined within a polygonal geofence at altitudes between 0 and 50 meters AGL, with a cylindrical no-fly zone in the center. The mission follows a corridor pattern inspection of four waypoints before returning to the start point. A critical lost-link fault is simulated at 200 seconds, lasting one minute, during which uplink and downlink communications are fully disrupted. The UAV must rely on onboard sensors and fail-safe logic—likely triggering a return-to-launch (RTL) or hold mode—due to the communication outage. Constraints include maintaining separation from the no-fly zone, avoiding geofence breaches, managing battery reserves under high-drain conditions, and operating without GNSS or radar. The scenario tests autonomy resilience in degraded communication and navigation environments typical of subterranean operations.",Switch to IMU and LiDAR SLAM for position hold,Rely solely on dead reckoning from last GNSS fix,Use RGB optical flow assuming uniform ground texture,Ascend to 50 m AGL for better sensor clearance,Activate magnetic heading hold despite EMI presence,Proceed to next waypoint using predicted wind drift,Hover using barometric pressure in turbulent air,"[""Switch to IMU and LiDAR SLAM for position hold"", ""Rely solely on dead reckoning from last GNSS fix"", ""Use RGB optical flow assuming uniform ground texture"", ""Ascend to 50 m AGL for better sensor clearance"", ""Activate magnetic heading hold despite EMI presence"", ""Proceed to next waypoint using predicted wind drift"", ""Hover using barometric pressure in turbulent air""]","IMU-LiDAR SLAM fuses inertial and 3D range data, maintaining localization without GNSS. It resists multipath, EMI, and poor visibility. Other options fail due to drift, environmental interference, or sensor limitations." 2025-11-01T18:05:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/jungle_recon_convertiplane_7301e449ade5_mcq.json,uavbench-mcq-v1,jungle_recon_convertiplane,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 125 seconds, comms drop; wind is 11 m/s from west; traffic UAV enters from south—how should the UAV respond to maintain safety and mission integrity?","This is an area reconnaissance mission using a convertiplane UAV in a jungle environment. The flight occurs within a defined rectangular airspace with a minimum altitude of 10 meters AGL and a maximum of 120 meters. Weather conditions include poor visibility, light rain, and moderate winds increasing with altitude, reaching up to 11 m/s from the west. The UAV is equipped with a battery-powered propulsion system, RGB and thermal cameras, LiDAR, and standard navigation sensors. Key constraints include a static no-fly zone over a central cylinder and a moving no-fly zone drifting northwest. The mission requires a runway for takeoff and landing, with a transition from vertical to fixed-wing flight planned. GNSS signals are degraded due to multipath effects and mild jamming, and electromagnetic interference is present. The UAV must avoid a single traffic UAV entering from the south and a moving spherical obstacle descending through the domain. Communication experiences brief dropouts between 120–135 and 400–410 seconds with otherwise stable links. The mission plan follows a grid pattern with five key waypoints, including loitering near the center, while managing energy and maintaining safe separation.","Continue grid pattern, assuming traffic will yield",Descend to 10 m AGL to avoid wind and traffic,Climb above 120 m to escape traffic conflict,Abort mission and return to runway immediately,Hold position at next waypoint until comms restore,"Divert north, skirting moving no-fly zone to save time","Execute lateral avoidance, maintain altitude, and log conflict","[""Continue grid pattern, assuming traffic will yield"", ""Descend to 10 m AGL to avoid wind and traffic"", ""Climb above 120 m to escape traffic conflict"", ""Abort mission and return to runway immediately"", ""Hold position at next waypoint until comms restore"", ""Divert north, skirting moving no-fly zone to save time"", ""Execute lateral avoidance, maintain altitude, and log conflict""]","The UAV must avoid traffic while respecting altitude limits and mission continuity. G ensures safe separation without violating airspace or aborting unnecessarily. Other options risk collision, exceed boundaries, or neglect real-time hazard response." 2025-11-01T18:05:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/lost_link_rtl_vtol_sandstorm_offshore_21f4cbb847e0_mcq.json,uavbench-mcq-v1,lost_link_rtl_vtol_sandstorm_offshore,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,A,False,"A VTOL tiltrotor UAV in a sandstorm must RTL after lost-link, avoiding a moving obstacle 1.2 km west at 300 ft, with winds shifting from southwest.","This scenario involves a VTOL tiltrotor UAV conducting an offshore platform inspection mission in poor visibility due to a sandstorm. The flight occurs in a defined offshore airspace with a cylindrical no-fly zone around the central platform. Strong and gusty winds from the southwest increase in speed and shift direction with altitude, creating challenging flight conditions. The UAV is equipped with radar, RGB camera, and standard navigation sensors but faces GNSS signal degradation from multipath and moderate jamming. An emergency lost-link event occurs mid-mission, triggering an autonomous return-to-launch (RTL) procedure. The UAV must maintain separation from a moving obstacle and a single intruder UAV while navigating within strict altitude and geofenced boundaries. Communication is disrupted during the fault window, requiring robust onboard decision-making. The mission demands precise transitions between hover and forward flight, with a runway landing required at the end. Battery reserve and sensor reliability are critical constraints under high wind and environmental interference.","Climb to 500 ft, arc north around obstacle, descend to 200 ft before approach","Descend immediately to 100 ft to avoid winds, fly direct RTL path","Maintain current altitude, fly straight through obstacle’s predicted path","Turn south and fly low along geofence edge, rejoin RTL from southeast","Accelerate in forward flight now, ignoring obstacle’s drift vector","Hover until obstacle passes, then proceed direct to launch point","Bank sharply west to cut inside obstacle’s track, reduce airspeed","[""Climb to 500 ft, arc north around obstacle, descend to 200 ft before approach"", ""Descend immediately to 100 ft to avoid winds, fly direct RTL path"", ""Maintain current altitude, fly straight through obstacle’s predicted path"", ""Turn south and fly low along geofence edge, rejoin RTL from southeast"", ""Accelerate in forward flight now, ignoring obstacle’s drift vector"", ""Hover until obstacle passes, then proceed direct to launch point"", ""Bank sharply west to cut inside obstacle’s track, reduce airspeed""]","Option A ensures vertical and lateral separation from the obstacle while maintaining safe altitude above gust-prone lower layers. It accounts for wind-induced drift and avoids geofence boundaries. Other options violate separation minima, increase exposure to turbulence, or assume unrealistic maneuverability." 2025-11-01T18:05:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/jungle_recon_heavy_lift_fog_b1461371bc17_mcq.json,uavbench-mcq-v1,jungle_recon_heavy_lift_fog,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best handles icing, GNSS jamming at -75 dBm, and a 600-second low-altitude survey with 40% performance loss?","Heavy-lift UAV conducts jungle mapping mission in dense, foggy conditions with poor visibility and icing risk. Operating in a confined 2km x 1.5km jungle airspace with a 10–150m AGL altitude limit. Equipped with RGB and thermal cameras, LiDAR, and full navigation suite for terrain mapping. Challenged by moderate winds increasing with altitude and dynamic wind shifts. Features strong GNSS multipath, electromagnetic interference, and mild jamming at -75 dBm. Must avoid a static no-fly zone near (1000, 300) and a moving restricted cylinder drifting northwest. Encounters a second UAV on a fixed path and a slow-moving spherical obstacle near mid-field. Mission includes a timed 600-second grid survey with five key waypoints at low altitude. Suffers a 60-second icing event at 240 seconds, reducing performance by 40%. Communication experiences two brief downlink loss windows during critical phases.","High-efficiency propellers, no de-icing, basic GNSS","Redundant IMU, no de-icing, standard propulsion","De-icing coils, dual RTK-GNSS, moderate power reserve","Lightweight frame, single GNSS, no redundancy","Solar-assisted, minimal sensors, low wind tolerance","High-speed rotors, single IMU, no jamming mitigation","Extra battery, no de-icing, open-loop navigation","[""High-efficiency propellers, no de-icing, basic GNSS"", ""Redundant IMU, no de-icing, standard propulsion"", ""De-icing coils, dual RTK-GNSS, moderate power reserve"", ""Lightweight frame, single GNSS, no redundancy"", ""Solar-assisted, minimal sensors, low wind tolerance"", ""High-speed rotors, single IMU, no jamming mitigation"", ""Extra battery, no de-icing, open-loop navigation""]","System C balances de-icing capability, GNSS resilience via dual RTK, and sufficient power margin to maintain stability during the 40% performance loss. It outperforms others in fault tolerance and navigation accuracy under jamming and icing. Competing options fail in redundancy, environmental adaptation, or sustained mission endurance." 2025-11-01T18:05:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/low_visibility_aerial_mapping_quadrotor_59ebcb08f6b6_mcq.json,uavbench-mcq-v1,low_visibility_aerial_mapping_quadrotor,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,Which strategy maximizes mapping completion at 40m within 600s under 30% battery reserve and GNSS degradation?,"This is an aerial mapping mission using a quadrotor UAV in a dense urban environment. The UAV is equipped with RGB camera, LiDAR, GNSS, IMU, magnetometer, and barometer for navigation and data collection. Weather conditions include poor visibility and haze, with moderate crosswinds from the west increasing with altitude. The flight area is bounded by a 200m × 200m geofence, with a minimum altitude of 10m AGL and a maximum of 120m AGL. A static no-fly zone is present near the center of the area, and a dynamic no-fly zone moves through the northeast section. GNSS signals are degraded due to multipath effects and electromagnetic interference, with occasional jamming. The mission requires a grid pattern over four waypoints at 40m altitude, returning to start within a 600-second time limit. A second UAV and a moving spherical obstacle traverse the airspace, requiring separation management. Communication experiences brief uplink/downlink outages at specific intervals during the flight. Battery reserves are set to 30%, and the UAV must balance energy use with navigation challenges in low visibility.","Fly full-speed grid, prioritize LiDAR at max resolution","Descend to 25m, use camera only, skip repositioning","Reduce LiDAR frequency, adapt speed to wind, use IMU/GNSS fusion","Climb to 100m for clearer GNSS, restart mapping pattern",Hover every 60s for signal reacquisition and data burst,"Fly direct to waypoints, disable sensor suite until arrival","Increase speed by 40%, transmit full data stream continuously","[""Fly full-speed grid, prioritize LiDAR at max resolution"", ""Descend to 25m, use camera only, skip repositioning"", ""Reduce LiDAR frequency, adapt speed to wind, use IMU/GNSS fusion"", ""Climb to 100m for clearer GNSS, restart mapping pattern"", ""Hover every 60s for signal reacquisition and data burst"", ""Fly direct to waypoints, disable sensor suite until arrival"", ""Increase speed by 40%, transmit full data stream continuously""]","Reducing LiDAR frequency cuts power use while adaptive speed minimizes wind resistance losses. IMU/GNSS fusion maintains navigation accuracy despite GNSS issues, preserving battery and time. This balances energy, data quality, and mission continuity within the 600s limit and 30% reserve." 2025-11-01T18:05:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/lost_link_rtl_quadrotor_rural_thermal_2f9ec5146358_mcq.json,uavbench-mcq-v1,lost_link_rtl_quadrotor_rural_thermal,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,"Which UAV configuration best ensures mission success under 6 m/s wind, thermal updrafts, and a 60-second comms loss at 320 s?","The mission is a rural survey using a quadrotor UAV in a predefined corridor pattern. The airspace is bounded by a static geofence and includes a fixed no-fly zone plus a moving no-fly cylinder. Weather includes a 6 m/s wind from the west and gusts, along with thermal updrafts at two locations. The UAV is equipped with standard navigation sensors but lacks thermal imaging and LiDAR. Payload includes an RGB camera with minimal drag and mass. A communication link loss fault is triggered at 320 seconds, lasting one minute, simulating lost command uplink. Separation from other traffic and obstacles is monitored with a 25-meter threshold. GNSS conditions are good with no multipath or jamming. The UAV must return to home or divert to an emergency site if needed. Battery reserve is set to 30% for safe return after faults.","High-efficiency propellers, dual GNSS, RGB only, 30% battery reserve","Lightweight frame, single GNSS, RGB + LiDAR, 20% battery reserve","Aggressive flight controller, no redundancy, thermal camera, 30% reserve","Standard props, dual GNSS, RGB, 25% battery reserve, no fault handling","Heavy frame, dual sensors, RGB + LiDAR, 35% battery, high power draw","Low-cost IMU, single GNSS, RGB, 30% reserve, minimal wind compensation","Medium weight, adaptive controller, RGB, 30% reserve, thermal avoidance logic","[""High-efficiency propellers, dual GNSS, RGB only, 30% battery reserve"", ""Lightweight frame, single GNSS, RGB + LiDAR, 20% battery reserve"", ""Aggressive flight controller, no redundancy, thermal camera, 30% reserve"", ""Standard props, dual GNSS, RGB, 25% battery reserve, no fault handling"", ""Heavy frame, dual sensors, RGB + LiDAR, 35% battery, high power draw"", ""Low-cost IMU, single GNSS, RGB, 30% reserve, minimal wind compensation"", ""Medium weight, adaptive controller, RGB, 30% reserve, thermal avoidance logic""]","G balances fault tolerance, energy reserve, and environmental adaptability. It includes an adaptive controller for wind and thermals, maintains 30% reserve, and avoids unnecessary payloads. Others fail in redundancy, reserve margin, or add drag without benefit." 2025-11-01T18:05:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/lost_link_rtl_octocopter_rural_dust_5196ffc9de02_mcq.json,uavbench-mcq-v1,lost_link_rtl_octocopter_rural_dust,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"At 300s, lost link occurs at 50m AGL in 8 m/s winds; what action balances safety, energy, and navigation under GNSS degradation?","This scenario involves a survey mission using an octocopter UAV in a rural airspace. The UAV is equipped with a battery-powered electric propulsion system and carries an RGB camera payload. It operates within a defined geofenced area with a maximum altitude of 120 meters AGL. A no-fly zone is present as a cylindrical exclusion zone near the center of the area. The mission follows a grid pattern with five waypoints at 50 meters altitude. Weather conditions include strong 8 m/s winds from the west, gusts up to 4 m/s, and poor visibility due to dust. At 300 seconds into the mission, a lost link fault occurs, disrupting both uplink and downlink communications. The UAV must rely on onboard systems for return-to-launch or emergency landing procedures. Separation from other traffic and moving obstacles is monitored, with a minimum safe distance of 25 meters. GNSS signal degradation due to dust and potential multipath effects may impact navigation accuracy.",Climb to 110m for better GNSS signal and wind clearance,Descend to 30m to reduce wind exposure and power use,Proceed to nearest waypoint at current altitude for mission continuity,Initiate return-to-launch at 50m with reduced airspeed,Execute emergency landing immediately at current location,Fly direct to launch site at 80m to avoid no-fly zone conflicts,Hold position at 50m using full thrust to maintain station,"[""Climb to 110m for better GNSS signal and wind clearance"", ""Descend to 30m to reduce wind exposure and power use"", ""Proceed to nearest waypoint at current altitude for mission continuity"", ""Initiate return-to-launch at 50m with reduced airspeed"", ""Execute emergency landing immediately at current location"", ""Fly direct to launch site at 80m to avoid no-fly zone conflicts"", ""Hold position at 50m using full thrust to maintain station""]","Returning at 50m conserves energy compared to climbing, avoids gust-induced instability at higher altitudes, and maintains safe separation from the no-fly zone. It balances degraded GNSS accuracy at lower levels with sufficient clearance from obstacles and efficient power use in strong winds. Immediate landing or holding wastes energy or risks navigation failure, while climbing increases exposure and power demand." 2025-11-01T18:05:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/mountain_ridge_bvlos_solar_wing_arctic_hot_06eec2e5c272_mcq.json,uavbench-mcq-v1,mountain_ridge_bvlos_solar_wing_arctic_hot,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 400m AGL, 15 m/s WNW winds and EM interference occur. Which navigation strategy maintains accuracy during GNSS dropouts?","This is a BVLOS survey mission using a solar-powered fixed-wing UAV in arctic airspace. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates within an altitude range of 50 to 450 meters AGL, navigating a predefined corridor pattern across a 2km by 1.5km geofenced area. Winds increase with altitude, reaching up to 15 m/s from the west-northwest, with moderate gusts present. A thermal updraft zone near the center of the map provides potential lift. The mission must avoid two no-fly zones: a static cylinder and a moving one drifting northwest. There is also a dynamic spherical obstacle and another UAV traversing the airspace. Communication links experience two brief dropouts during the flight. Electromagnetic interference is present, though GNSS multipath is not a factor. The UAV must return to meet runway landing requirements within a 10-minute time budget.",Rely solely on GNSS due to no multipath issues,Use LiDAR-only SLAM in clear thermal updraft zone,Fuse IMU with visual odometry during signal loss,Depend on magnetic heading with uncalibrated compass,Assume constant velocity during communication dropouts,Switch to thermal camera for primary navigation,Trust GPS dead reckoning beyond 30 seconds,"[""Rely solely on GNSS due to no multipath issues"", ""Use LiDAR-only SLAM in clear thermal updraft zone"", ""Fuse IMU with visual odometry during signal loss"", ""Depend on magnetic heading with uncalibrated compass"", ""Assume constant velocity during communication dropouts"", ""Switch to thermal camera for primary navigation"", ""Trust GPS dead reckoning beyond 30 seconds""]","IMU-visual fusion compensates for GNSS dropouts and EM interference by leveraging camera-inertial consistency. LiDAR may suffer from snow reflectivity noise, and magnetic sensors are unreliable under EM interference. This method maintains pose estimation integrity with minimal drift during brief outages." 2025-11-01T18:05:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/lost_link_rtl_solar_wing_mine_a22c0480dbd6_mcq.json,uavbench-mcq-v1,lost_link_rtl_solar_wing_mine,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,Two UAVs coordinate inspection in a 100m x 80m mine with 60m AGL limit and central no-fly zone. How should they adjust for GNSS denial and dynamic obstacles?,"Solar-powered fixed-wing UAV conducts an inspection mission inside an underground mine. Flight occurs in a confined 100m x 80m airspace with altitude capped at 60m AGL. Weather includes poor visibility, fog, and light winds shifting with altitude. UAV carries an RGB camera and LIDAR payload for structural inspection. GNSS signals suffer from multipath and jamming, limiting navigation reliability. A static no-fly zone blocks the central area, with an additional moving restricted zone. Dynamic obstacles and conflicting traffic increase collision risks. Mid-mission communication loss triggers return-to-launch (RTL) procedure. UAV must land on a designated runway with limited emergency sites. Battery reserve and separation from obstacles are critical due to sensor degradation.",Split area equally; both fly at 30m altitude to maintain visibility,"One leads at 50m, other follows at 40m with 20m separation",Synchronize LIDAR pings every 15s to reduce interference,Share camera feed via mesh; one relays while other scans,Alternate entry every 10min to avoid mid-air collision,Hover at edge until signal restored; prioritize RTL trigger,Fly identical paths 5s apart to ensure full coverage,"[""Split area equally; both fly at 30m altitude to maintain visibility"", ""One leads at 50m, other follows at 40m with 20m separation"", ""Synchronize LIDAR pings every 15s to reduce interference"", ""Share camera feed via mesh; one relays while other scans"", ""Alternate entry every 10min to avoid mid-air collision"", ""Hover at edge until signal restored; prioritize RTL trigger"", ""Fly identical paths 5s apart to ensure full coverage""]","Option D enables real-time situational awareness and load sharing through decentralized communication, maintaining mission continuity despite GNSS denial. It preserves inter-agent coordination by using mesh networking to balance sensor coverage and avoid redundant paths. Other options either increase collision risk, reduce responsiveness, or fail under dynamic obstacle conditions." 2025-11-01T18:05:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/mountainous_fog_recon_fixedwing_84fe852d6f88_mcq.json,uavbench-mcq-v1,mountainous_fog_recon_fixedwing,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"UAV must maintain 150–200 m AGL, avoid a static NFZ and moving obstacle, and preserve 50 m separation from another UAV in 9 m/s winds with icing.","Fixed-wing UAV conducts area reconnaissance in mountainous terrain under poor visibility and icing conditions. Mission involves flying a grid pattern at 150–200 meters AGL within a defined rectangular airspace. Strong winds up to 9 m/s with gusts and directional shear across altitude layers challenge flight stability. UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. GNSS signals suffer from multipath effects and moderate jamming, with brief comms outages expected. A static no-fly zone blocks the center of the area, while a moving obstacle and dynamic NFZ require real-time avoidance. Another UAV transits the airspace westbound, requiring separation maintenance of at least 50 meters. Icing event occurs mid-mission, reducing aerodynamic efficiency for one minute. Runway landing is required, with primary and emergency landing sites designated. Battery reserves and low-altitude stalls are key risks due to terrain and weather constraints.",Climb to 250 m AGL to avoid turbulence and improve GNSS reception,Descend to 120 m AGL for better sensor resolution near terrain,Fly direct through static NFZ center to reduce mission time,Reduce speed by 30% to enhance control during icing event,"Reroute westward, increasing lateral separation from moving obstacle",Hold level flight during wind shear to maintain grid alignment,Turn east immediately to return to landing site after first comms loss,"[""Climb to 250 m AGL to avoid turbulence and improve GNSS reception"", ""Descend to 120 m AGL for better sensor resolution near terrain"", ""Fly direct through static NFZ center to reduce mission time"", ""Reduce speed by 30% to enhance control during icing event"", ""Reroute westward, increasing lateral separation from moving obstacle"", ""Hold level flight during wind shear to maintain grid alignment"", ""Turn east immediately to return to landing site after first comms loss""]","Rerouting westward maintains the 150–200 m AGL band while increasing separation from the moving obstacle and avoiding NFZ penetration. It accounts for wind drift and latency in re-planning, preserving safety margins without sacrificing sensor coverage. Other options violate altitude, NFZ, separation, or energy constraints." 2025-11-01T18:05:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/lost_link_rtl_helicopter_suburban_gusts_c599ed28d7b0_mcq.json,uavbench-mcq-v1,lost_link_rtl_helicopter_suburban_gusts,minimax/minimax-m1,9,Comparative System Reasoning,7,?,F,False,Which system ensures safe return during a 45-second comms loss at 320s with 6.5 m/s winds and a moving obstacle?,"This UAV mission involves a single helicopter conducting an inspection in suburban airspace. The helicopter is equipped with a battery-powered rotorcraft system and carries an RGB camera payload for visual data collection. It operates within a defined 3D airspace bounded by static and dynamic no-fly zones, including a central cylinder exclusion and a moving restricted zone. The environment features moderate winds from 240 degrees at 6.5 m/s with gusts up to 4.2 m/s, impacting stability and energy use. The flight begins at (10,10,20) and follows a corridor pattern through four waypoints before returning. A communication link loss fault is triggered at 320 seconds, lasting 45 seconds, forcing the UAV into RTL (Return-to-Launch) mode. During the outage, uplink and downlink signals are lost, simulating poor connectivity common in urban environments with GNSS multipath risks. The UAV must maintain separation from a moving obstacle and another UAV traffic agent on a collision course trajectory. Battery reserve is set to 30%, and energy consumption is closely monitored due to wind-induced drag and maneuvering demands. Mission success depends on avoiding NFZ breaches, maintaining safe separation, and landing safely despite the lost-link event.",Lightweight camera reduces power use but lacks obstacle sensing,High-thrust rotors increase speed but drain battery faster,Minimalist avionics cut cost but delay RTL response,Dual GNSS units improve accuracy but add weight and drag,Predictive path planner avoids obstacles but high processing latency,Adaptive flight controller adjusts to wind and maintains separation,Extended-range radio prevents link loss but adds payload mass,"[""Lightweight camera reduces power use but lacks obstacle sensing"", ""High-thrust rotors increase speed but drain battery faster"", ""Minimalist avionics cut cost but delay RTL response"", ""Dual GNSS units improve accuracy but add weight and drag"", ""Predictive path planner avoids obstacles but high processing latency"", ""Adaptive flight controller adjusts to wind and maintains separation"", ""Extended-range radio prevents link loss but adds payload mass""]","The adaptive flight controller balances wind compensation, real-time obstacle avoidance, and RTL reliability without increasing payload or energy use. It ensures safe separation and stable return despite communication loss and dynamic obstacles. Other options compromise fault tolerance, energy budget, or responsiveness under mission constraints." 2025-11-01T18:05:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/lost_link_rtl_vtol_rural_icing_ee600016a52b_mcq.json,uavbench-mcq-v1,lost_link_rtl_vtol_rural_icing,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"At 1200m altitude, icing reduces lift by 18%, wind increases to 18 m/s, GNSS degrades—how should the UAV prioritize actions?","This scenario involves a VTOL tiltrotor UAV conducting a rural survey mission in icing conditions with moderate winds aloft. The mission takes place in a rural airspace with a predefined geofenced area and both static and moving no-fly zones. Weather includes icing conditions and increasing wind speed with altitude, posing aerodynamic challenges. The UAV is equipped with RGB camera and LiDAR payload, relying on GNSS, IMU, and other sensors for navigation. A lost communication link occurs mid-mission, triggering an RTL (return-to-launch) procedure under degraded control. Icing affects flight performance shortly after, reducing lift and increasing drag. The UAV must navigate around a dynamic no-fly zone and a moving spherical obstacle while maintaining separation from another UAV on a crossing path. Electromagnetic interference impacts communications, and GNSS jamming is present though multipath effects are minimal. The mission requires a runway for landing and must adhere to altitude, geofence, and separation constraints despite fault conditions.",Continue survey; accept risk to complete high-value mission,Descend immediately below icing layer despite no-fly zone,Divert to nearest runway 15km off nominal RTL path,Climb to 1500m for clearer GNSS despite higher winds,Hover in place until comms and GNSS restore,Eject payload to reduce weight and improve control,Execute emergency landing in unpopulated field outside geofence,"[""Continue survey; accept risk to complete high-value mission"", ""Descend immediately below icing layer despite no-fly zone"", ""Divert to nearest runway 15km off nominal RTL path"", ""Climb to 1500m for clearer GNSS despite higher winds"", ""Hover in place until comms and GNSS restore"", ""Eject payload to reduce weight and improve control"", ""Execute emergency landing in unpopulated field outside geofence""]",Safety of flight and lawful operation require abandoning the mission to ensure controllable return. Diverting to a runway maintains compliance with landing requirements and avoids uncontrolled descent in restricted areas. Continuing or hovering increases risk of loss of control; off-airfield landing breaches operational regulations unless life is at immediate risk. 2025-11-01T18:05:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/mountainous_powerline_inspection_sandstorm_06b80eeb224d_mcq.json,uavbench-mcq-v1,mountainous_powerline_inspection_sandstorm,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 30% battery reserve, 8 m/s winds, and 600-second limit, which action maximizes inspection completion and safety?","This scenario involves a powerline inspection mission using a quadrotor UAV in mountainous terrain. The flight occurs within a defined corridor airspace bounded between 30 and 150 meters AGL. A sandstorm reduces visibility to poor levels, with strong winds at 8 m/s from 240 degrees and gusts up to 4 m/s. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, carrying a 0.3 kg payload. A cylindrical no-fly zone centered at (75, 100) with a 20-meter radius must be avoided. The mission must be completed within 600 seconds, following a predefined set of waypoints. GNSS signal multipath is a risk due to terrain and weather, and the UAV must maintain separation of at least 25 meters from obstacles. Battery endurance is limited, with 30% reserve required and downlink communications intermittently lost. The UAV spawns at (20, 20, 50) and should return to a preferred landing site nearby. Performance is evaluated on mission success, safety breaches, battery usage, and adherence to airspace constraints.",Fly direct route at 120 m AGL to save time,Descend to 40 m AGL to reduce wind resistance,Disable thermal camera to conserve power,Increase speed to 8 m/s to finish early,Circle no-fly zone at 24 m to stay on path,Transmit all data at 10 Mbps during downlink,Hover for 30 s to stabilize sensors in sandstorm,"[""Fly direct route at 120 m AGL to save time"", ""Descend to 40 m AGL to reduce wind resistance"", ""Disable thermal camera to conserve power"", ""Increase speed to 8 m/s to finish early"", ""Circle no-fly zone at 24 m to stay on path"", ""Transmit all data at 10 Mbps during downlink"", ""Hover for 30 s to stabilize sensors in sandstorm""]","Disabling the thermal camera reduces power draw, preserving battery for essential navigation and obstacle avoidance. In poor visibility and under wind stress, minimizing non-critical payload usage extends endurance without compromising safety or route adherence. Other options either increase energy use, risk proximity violations, or waste time." 2025-11-01T18:05:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/moving_nfz_event_heavy_lift_rural_fog_7fefbde44822_mcq.json,uavbench-mcq-v1,moving_nfz_event_heavy_lift_rural_fog,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"At 200 s, icing reduces lift; wind is 6.2 m/s from 240°. What adjustment maintains corridor flight within 120 m AGL?","Heavy-lift UAV conducts a rural delivery mission in poor visibility due to fog and icing conditions. The flight occurs within a defined rural airspace with a maximum altitude of 120 meters AGL. Weather includes 6.2 m/s winds from 240 degrees, gusts up to 3.8 m/s, and hazardous icing. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors, relying on battery power. A static no-fly zone is present at the center of the area, with an additional moving NFZ drifting northeast. The mission involves navigating a corridor pattern through four waypoints under a 600-second time limit. A second UAV travels westbound at 12 m/s, requiring separation maintenance of at least 25 meters. A small spherical obstacle moves diagonally through the environment, adding dynamic collision risk. An icing fault event occurs at 200 seconds, reducing performance for one minute. GNSS multipath and reduced visibility increase navigation challenges, especially near obstacles and NFZs.",Increase angle of attack by 3° to compensate for lift loss,Reduce airspeed to 8 m/s to minimize drag in fog,Descend to 90 m AGL to escape icing layer,Bank 15° toward northeast to avoid moving NFZ,Pitch down 2° to increase engine cooling during fault,Increase throttle to 95% to overcome reduced aerodynamic efficiency,Turn west immediately to follow second UAV’s path,"[""Increase angle of attack by 3° to compensate for lift loss"", ""Reduce airspeed to 8 m/s to minimize drag in fog"", ""Descend to 90 m AGL to escape icing layer"", ""Bank 15° toward northeast to avoid moving NFZ"", ""Pitch down 2° to increase engine cooling during fault"", ""Increase throttle to 95% to overcome reduced aerodynamic efficiency"", ""Turn west immediately to follow second UAV’s path""]","Icing increases wing roughness, reducing lift and increasing drag. Increasing throttle compensates for lost aerodynamic efficiency by boosting thrust to maintain airspeed and control. Other options either exacerbate stall risk or violate separation and altitude constraints." 2025-11-01T18:05:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/moving_nfz_event_octocopter_industrial_cd8a4379ca88_mcq.json,uavbench-mcq-v1,moving_nfz_event_octocopter_industrial,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"At 180s, icing activates; UAV must avoid dynamic obstacles, maintain 25m separation, and complete corridor inspection within 600s under GNSS degradation.","This is an inspection mission using an octocopter UAV equipped with RGB camera, LiDAR, and standard navigation sensors. The operation takes place within a bounded industrial plant airspace with a maximum altitude of 120 m AGL. Weather conditions include moderate wind from 240° at 6.5 m/s with gusts up to 3.2 m/s, poor visibility, and icing conditions that activate mid-mission. The UAV must navigate around a static no-fly zone near the center and avoid a second moving cylindrical no-fly zone drifting at 2.5 m/s. Additional constraints include GNSS multipath effects and electromagnetic interference affecting navigation reliability. A second UAV is present in the airspace, moving along a fixed path, requiring separation maintenance of at least 25 meters. The mission follows a corridor pattern between four waypoints at 30 m altitude, lasting up to 600 seconds. The octocopter has a 650 Wh battery with a 30% reserve requirement, limiting available energy for the task. Dynamic obstacles such as a drifting sphere must be avoided during flight. The scenario includes a simulated icing fault at 180 seconds, reducing performance for one minute.","Continue standard path, relying on LiDAR for obstacle avoidance",Ascend to 110m to improve GNSS signal clarity and visibility,Delay inspection until icing clears at 240s to preserve stability,Reduce speed by 40% to enhance sensor accuracy and spacing control,Switch to RGB-only mode to conserve power for critical maneuvers,Abort mission immediately to prevent loss in poor visibility,Coordinate altitude shift with second UAV to share situational updates,"[""Continue standard path, relying on LiDAR for obstacle avoidance"", ""Ascend to 110m to improve GNSS signal clarity and visibility"", ""Delay inspection until icing clears at 240s to preserve stability"", ""Reduce speed by 40% to enhance sensor accuracy and spacing control"", ""Switch to RGB-only mode to conserve power for critical maneuvers"", ""Abort mission immediately to prevent loss in poor visibility"", ""Coordinate altitude shift with second UAV to share situational updates""]","Reducing speed improves obstacle detection under sensor degradation and ensures safe separation from the moving UAV and drifting cylinder. It balances mission completion within 600s while maintaining energy margins and responsiveness during icing. Other options either violate altitude constraints, waste time, or neglect inter-agent coordination needs." 2025-11-01T18:05:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/moving_nfz_event_offshore_hexacopter_hot_87596cfb808e_mcq.json,uavbench-mcq-v1,moving_nfz_event_offshore_hexacopter_hot,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,F,False,"Hexacopter flies at 110m AGL, wind 8.5 m/s from 240°, visibility good. How to ensure reliable navigation near dynamic no-fly zone?","A hexacopter conducts an offshore platform inspection mission in hot temperature conditions with good visibility. The UAV operates within a defined polygonal airspace bounded between 10 and 120 meters AGL. Winds are from 240 degrees at 8.5 m/s with gusts up to 4.2 m/s, posing moderate environmental challenges. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors for navigation and data collection. A static no-fly zone restricts access near a critical structure at (100,150) with a 30-meter radius. A second no-fly zone moves dynamically across the area at 2.5 m/s, requiring real-time path adaptation. Another UAV and a moving spherical obstacle traverse the airspace, necessitating separation monitoring. The mission requires completing a corridor-style waypoint route within 600 seconds. Minimum separation is set at 25 meters with a time-to-closest-approach threshold of 15 seconds. Battery reserves are set to 30%, and performance is affected by aerodynamic drag and thermal stress.",Prioritize GNSS only; high visibility ensures signal integrity,Switch to IMU-lidar fusion; wind may disrupt GPS accuracy,Rely on RGB optical flow; ensures precision in static lighting,Use lidar alone; provides centimeter accuracy in open air,Disable IMU; reduces noise during high thermal stress,Fuse GNSS with IMU; compensate for gust-induced position drift,Trust camera-only tracking; visual clarity supports feature lock,"[""Prioritize GNSS only; high visibility ensures signal integrity"", ""Switch to IMU-lidar fusion; wind may disrupt GPS accuracy"", ""Rely on RGB optical flow; ensures precision in static lighting"", ""Use lidar alone; provides centimeter accuracy in open air"", ""Disable IMU; reduces noise during high thermal stress"", ""Fuse GNSS with IMU; compensate for gust-induced position drift"", ""Trust camera-only tracking; visual clarity supports feature lock""]","GNSS-IMU fusion compensates for wind-induced position errors and GNSS latency under moderate gusts. Lidar and camera may suffer from motion blur and range noise in windy, thermally stressed conditions. Fusing GNSS with IMU maintains resilient state estimation while supporting real-time path adaptation near dynamic obstacles." 2025-11-01T18:05:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/mountain_ridge_bvlos_coastal_helicopter_gusts_082acafee046_mcq.json,uavbench-mcq-v1,mountain_ridge_bvlos_coastal_helicopter_gusts,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"With 8.5 m/s wind and two 15-second comms losses, how should the UAV adjust speed between waypoints to maintain timing and battery?","This is a BVLOS inspection mission using a single battery-powered helicopter UAV equipped with an RGB camera and standard navigation sensors. The operation takes place in a coastal airspace with a defined rectangular geofence and both static and moving no-fly zones. Weather conditions include a steady 8.5 m/s wind from 240 degrees with frequent 4.2 m/s gusts, creating challenging flight dynamics. The UAV must follow a corridor inspection pattern across five waypoints within a 10-minute time limit, starting and ending near the southeast corner. A dynamic no-fly zone moves slowly through the area, requiring real-time avoidance. Another UAV and a moving spherical obstacle travel through the airspace, enforcing separation requirements of 25 meters and 10 seconds time-to-close. Communication experiences two brief 15-second downlink loss periods, demanding resilient control. The mission requires strict adherence to altitude limits between 10 and 120 meters AGL, with a central cylindrical NFZ near the midpoint. Successful completion depends on avoiding collisions, maintaining GNSS availability, and preserving sufficient battery reserves throughout the flight.",Increase speed by 30% throughout the route,Reduce speed near dynamic no-fly zone to save battery,Maintain optimal cruise to balance time and energy use,Fly fastest between first and second waypoint only,Hover for 20 seconds to regain GNSS signal,Descend to 5 meters AGL to reduce wind resistance,Preemptively reroute 50 meters around moving obstacle,"[""Increase speed by 30% throughout the route"", ""Reduce speed near dynamic no-fly zone to save battery"", ""Maintain optimal cruise to balance time and energy use"", ""Fly fastest between first and second waypoint only"", ""Hover for 20 seconds to regain GNSS signal"", ""Descend to 5 meters AGL to reduce wind resistance"", ""Preemptively reroute 50 meters around moving obstacle""]","Maintaining optimal cruise ensures energy efficiency and schedule adherence despite wind and communication gaps. It preserves battery while allowing responsive adjustments to dynamic obstacles and coordination constraints. Other choices either waste energy, violate altitude limits, or disrupt timing and separation margins." 2025-11-01T18:05:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/mountain_ridge_bvlos_octocopter_warehouse_e0034e559bfc_mcq.json,uavbench-mcq-v1,mountain_ridge_bvlos_octocopter_warehouse,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"At 300s, GNSS fails for 30s with downlink loss; UAV is at 12m AGL en route to waypoint 3. What should the UAV do?","This is an indoor warehouse inspection mission using a battery-powered octocopter equipped with RGB camera, LiDAR, and standard navigation sensors. The UAV operates within a confined polygonal airspace bounded between 0.5 m and 15.0 m AGL, with a static no-fly zone and a moving dynamic no-fly zone. A secondary UAV and a moving spherical obstacle add complexity to the environment. The mission follows a corridor inspection pattern with five waypoints and a 600-second time limit. Wind is minimal at 3 m/s with gusts up to 2.0 m/s, but lightning risk is present. GNSS multipath and signal jamming are concerns, with a planned 30-second GNSS jamming fault at 300 seconds. Communication includes two downlink loss windows, potentially affecting control and telemetry. The UAV must maintain separation from obstacles and traffic, with DAA thresholds set at 5.0 m and 5.0 s TTC. Battery reserve is set to 30%, and the flight ends at a designated preferred or emergency landing site. Motor failure is simulated at 450 seconds, testing fault resilience during BVLOS-style operations.",Continue to waypoint 3 at 12m AGL using GNSS,Descend to 5m AGL and hold until GNSS returns,Abort mission and return to landing site,Switch to lidar-aided navigation and proceed to waypoint 3,Climb to 15m AGL for better signal reception,Divert to emergency landing site immediately,Hover in place using optical flow until downlink recovers,"[""Continue to waypoint 3 at 12m AGL using GNSS"", ""Descend to 5m AGL and hold until GNSS returns"", ""Abort mission and return to landing site"", ""Switch to lidar-aided navigation and proceed to waypoint 3"", ""Climb to 15m AGL for better signal reception"", ""Divert to emergency landing site immediately"", ""Hover in place using optical flow until downlink recovers""]","GNSS jamming and downlink loss require resilient navigation without violating AGL or separation constraints. Lidar enables obstacle-aware progression within the 0.5–15m band while maintaining mission progress. Continuing with sensor fusion mitigates risk earlier than aborting or hovering, which waste energy and increase exposure to lightning and dynamic obstacles." 2025-11-01T18:05:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/moving_nfz_event_warehouse_fog_fixedwing_6d0608b9cbe1_mcq.json,uavbench-mcq-v1,moving_nfz_event_warehouse_fog_fixedwing,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"At 105s, with GNSS degraded and 3.5 m/s wind, which action maintains 5m separation and compensates for 10s downlink loss?","Fixed-wing UAV conducts an indoor warehouse inspection mission in poor visibility due to fog. The airspace is confined within a 50x30 meter polygon with a maximum altitude of 15 meters AGL. Weather includes a 3.5 m/s wind from 180 degrees and gusts up to 2.0 m/s, exacerbating navigation challenges. The UAV is equipped with RGB camera payload and relies on GNSS, IMU, magnetometer, and barometer for navigation. A static no-fly zone is present near the center, with a dynamic no-fly zone moving across the warehouse. The UAV must avoid moving obstacles, including a sphere oscillating along the x-axis. Separation from other traffic and dynamic zones must be maintained with a 5-meter minimum threshold. GNSS multipath and signal loss are potential concerns due to indoor operation and structural interference. Communication experiences brief downlink outages between 100–110s and 300–315s into the mission. Runway takeoff and landing are required, with designated preferred and emergency landing sites.",Climb to 14m AGL for better signal and continue current heading,"Descend to 8m, reduce speed, and rely solely on IMU and barometer",Execute pre-programmed loiter pattern at reduced airspeed,Abort mission and proceed immediately to emergency landing site,Increase speed to exit dynamic no-fly zone before oscillation peak,Switch to RGB-based optical flow and align with warehouse grid,Transmit position via store-and-forward during outage window,"[""Climb to 14m AGL for better signal and continue current heading"", ""Descend to 8m, reduce speed, and rely solely on IMU and barometer"", ""Execute pre-programmed loiter pattern at reduced airspeed"", ""Abort mission and proceed immediately to emergency landing site"", ""Increase speed to exit dynamic no-fly zone before oscillation peak"", ""Switch to RGB-based optical flow and align with warehouse grid"", ""Transmit position via store-and-forward during outage window""]","C maintains safe separation and formation stability by using a pre-planned maneuver that compensates for GNSS loss and communication blackout. It preserves energy and situational awareness without relying on downlink or risking collision near dynamic obstacles. Other options either increase risk, break communication protocol, or violate altitude or spacing constraints." 2025-11-01T18:05:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/mountain_ridge_bvlos_swarm_drone_urban_canyon_e3c23aedf71d_mcq.json,uavbench-mcq-v1,mountain_ridge_bvlos_swarm_drone_urban_canyon,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Which route optimizes altitude and timing for all waypoints within 600 s, avoids NFZs, and accounts for 11 m/s winds at 100 m?","This is a BVLOS swarm drone survey mission in an urban canyon environment. The airspace is constrained between 10 m and 120 m AGL with a fixed polygonal geofence and two no-fly zones, one static and one moving. Winds increase with altitude, reaching 11 m/s at 100 m with shifting direction, and include gusts up to 3.5 m/s. The UAV is an 8-rotor swarm drone with a total mass of 2.5 kg, equipped with GNSS, IMU, lidar, RGB camera, and a 0.3 kg payload. Significant environmental challenges include GNSS multipath, electromagnetic interference, and a weak GNSS jamming signal at -95 dBm. The swarm consists of five drones with role specialization and a minimum 8 m inter-UAV separation. Thermal updrafts are present near the center of the area, offering potential lift. Communications experience intermittent downlink outages between 120–135 s and 410–430 s with minimum RSSI at -87 dBm. The mission must complete within 600 seconds while avoiding obstacles, maintaining separation, and achieving all waypoints.",Climb to 120 m immediately for fastest transit,Fly at 10 m AGL throughout to avoid wind,"Route east of static NFZ at 80 m, adjust heading for gusts",Descend to 5 m AGL near moving NFZ to evade detection,"Ascend to 110 m to use thermal updrafts, avoid jamming zone",Hold position at 60 m during comms outage from 120–135 s,"Direct path through center, ignoring thermal and RSSI drops","[""Climb to 120 m immediately for fastest transit"", ""Fly at 10 m AGL throughout to avoid wind"", ""Route east of static NFZ at 80 m, adjust heading for gusts"", ""Descend to 5 m AGL near moving NFZ to evade detection"", ""Ascend to 110 m to use thermal updrafts, avoid jamming zone"", ""Hold position at 60 m during comms outage from 120–135 s"", ""Direct path through center, ignoring thermal and RSSI drops""]","Ascending to 110 m leverages thermal updrafts to reduce energy use and counteract strong winds, while staying below 120 m AGL maintains geofence compliance. At this altitude, GNSS jamming is less impactful due to shorter flight time and improved signal stability, and the route avoids both NFZs. Other options violate AGL limits, increase exposure to wind or interference, or waste time." 2025-11-01T18:05:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/mountainous_aerial_mapping_fog_e9865a5ce766_mcq.json,uavbench-mcq-v1,mountainous_aerial_mapping_fog,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"Octocopter mapping at 50–300 m AGL, 600 s limit, icing fault at 200 m with westerly winds and moving no-fly zone.","This is a mountainous aerial mapping mission using a heavy-lift octocopter equipped with RGB and thermal cameras, LiDAR, and radar. The UAV operates in poor visibility due to fog and faces icing conditions, with strong westerly winds increasing with altitude. The flight area is a defined polygon with a minimum altitude of 50 m AGL and a maximum of 300 m AGL. A static no-fly zone blocks the central area, while a moving no-fly zone drifts slowly through the airspace. A single traffic UAV crosses the zone at 200 m altitude, requiring separation monitoring. GNSS multipath and electromagnetic interference degrade navigation accuracy, and brief comms downlink losses occur. The UAV must complete a grid mapping pattern within 600 seconds, returning to its start point. An icing fault reduces performance for one minute during the mission. Emergency landing is available at a distant fallback site if needed.",Fly low grid at 55 m to avoid wind and icing,Climb to 300 m for clearer GNSS and faster coverage,Delay mission until weather improves for safety,Reduce speed to conserve power during icing event,Skip grid gaps to avoid moving no-fly zone drift,"Route eastward to exploit wind, saving energy",Switch to thermal-only to reduce sensor load,"[""Fly low grid at 55 m to avoid wind and icing"", ""Climb to 300 m for clearer GNSS and faster coverage"", ""Delay mission until weather improves for safety"", ""Reduce speed to conserve power during icing event"", ""Skip grid gaps to avoid moving no-fly zone drift"", ""Route eastward to exploit wind, saving energy"", ""Switch to thermal-only to reduce sensor load""]","Reducing speed during icing conserves battery under reduced thrust efficiency while maintaining control. It allows adherence to the grid pattern despite degraded navigation and brief comms loss. This balances energy, aerodynamics, and mission completion within 600 s." 2025-11-01T18:05:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/night_ops_convertiplane_hail_70830dc617c0_mcq.json,uavbench-mcq-v1,night_ops_convertiplane_hail,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During hail and GNSS jamming, with 11 m/s winds, how should the UAV maintain secure, stable flight within the geofence?","Nighttime inspection mission in an urban canyon using a convertiplane UAV. The UAV operates within a confined airspace bounded by a polygon geofence and multiple no-fly zones. Weather includes poor visibility, strong winds up to 11 m/s, and active hail, increasing flight risk. A dynamic no-fly zone moves across the area, requiring real-time avoidance. GNSS signals suffer from multipath and jamming, degrading navigation accuracy. Electromagnetic interference and intermittent downlink outages challenge communication. The UAV transitions between vertical and fixed-wing flight with defined transition times. An icing event occurs mid-mission, affecting aerodynamics and performance. A moving spherical obstacle crosses the flight path, requiring collision avoidance. The mission requires runway-assisted takeoff and landing, with preferred and emergency sites designated.",Rely solely on encrypted GNSS for positioning,Use sensor fusion with inertial and vision navigation,Disable encryption to reduce communication latency,Transmit unauthenticated status updates every 5 seconds,Override flight controller with ground-based joystick,Land immediately at any signal degradation,Trust all telemetry without integrity checks,"[""Rely solely on encrypted GNSS for positioning"", ""Use sensor fusion with inertial and vision navigation"", ""Disable encryption to reduce communication latency"", ""Transmit unauthenticated status updates every 5 seconds"", ""Override flight controller with ground-based joystick"", ""Land immediately at any signal degradation"", ""Trust all telemetry without integrity checks""]","Sensor fusion combines inertial, vision, and limited GNSS to maintain navigation integrity during jamming and multipath. It avoids reliance on unsecured or degraded signals while preserving control stability in high winds and hail. This approach ensures resilience against both physical disturbances and cyber-physical threats like spoofing." 2025-11-01T18:05:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/octocopter_bridge_inspection_microburst_acc08227769f_mcq.json,uavbench-mcq-v1,octocopter_bridge_inspection_microburst,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"At 90 m AGL, wind shifts to 13 m/s with 4.5 m/s gusts and GNSS degrades near bridge; which sensor strategy maintains position integrity?","An octocopter UAV conducts a bridge inspection mission in a confined urban airspace with a defined geofenced corridor. The site includes static and moving no-fly zones, including a dynamic cylindrical exclusion zone drifting at 2.5 m/s. The UAV is equipped with RGB camera and LiDAR payload for visual inspection, operating under moderate wind conditions of 8 m/s from the southwest. Wind speed increases with altitude up to 13 m/s at 100 m, with shifting direction and gusts up to 4.5 m/s, posing microburst risks. GNSS multipath and electromagnetic interference degrade navigation accuracy near the bridge structure. The UAV must maintain separation of at least 25 meters from a single intruder UAV and avoid a moving spherical obstacle. Battery endurance is limited, with a 30% reserve margin enforced and potential motor failure and communication loss events at 210 and 420 seconds. Flight altitude is restricted between 5 m and 120 m AGL, with a critical no-fly cylinder near the bridge center. The mission follows a predefined corridor pattern with five waypoints and a 10-minute time budget, requiring precise path planning and fault resilience. Success depends on avoiding collisions, NFZ breaches, and maintaining communication and navigation integrity throughout.",Prioritize GNSS with Kalman smoothing to reduce multipath noise,"Switch to IMU-visual-LiDAR fusion, downweighting GNSS",Rely on LiDAR SLAM using bridge undercarriage for global fix,Increase GNSS weighting to counteract IMU drift in wind,Use visual odometry alone; LiDAR is degraded by rain scatter,Hold altitude with barometer to avoid wind shear effects,Follow predefined GPS waypoints ignoring local deviations,"[""Prioritize GNSS with Kalman smoothing to reduce multipath noise"", ""Switch to IMU-visual-LiDAR fusion, downweighting GNSS"", ""Rely on LiDAR SLAM using bridge undercarriage for global fix"", ""Increase GNSS weighting to counteract IMU drift in wind"", ""Use visual odometry alone; LiDAR is degraded by rain scatter"", ""Hold altitude with barometer to avoid wind shear effects"", ""Follow predefined GPS waypoints ignoring local deviations""]","GNSS multipath and electromagnetic interference near the bridge invalidate precise positioning, making overreliance on GNSS risky. IMU-visual-LiDAR fusion provides redundancy, with vision and LiDAR offering spatial consistency despite gusts. This adaptive fusion maintains navigation integrity under wind-induced motion and GNSS degradation." 2025-11-01T18:05:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/mountainous_delivery_mission_a30ef06a9b76_mcq.json,uavbench-mcq-v1,mountainous_delivery_mission,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"With 8 m/s wind at 240° and GNSS multipath in valleys, which navigation strategy maintains integrity within 600 seconds?","This is a package delivery mission using a convertiplane UAV in mountainous terrain. The UAV operates within a defined airspace bounded by a polygonal geofence, with altitudes between 50 and 600 meters AGL. A no-fly zone cylinder is present near the center, requiring careful path planning to avoid. The UAV is equipped with GNSS, IMU, lidar, and RGB camera, relying on battery power with a 30% reserve requirement. Weather includes a steady 8 m/s wind from 240 degrees with moderate gusts, affecting flight stability and energy use. The mission involves transitioning between VTOL and fixed-wing flight, requiring runway access for takeoff and landing. Traffic includes another UAV moving eastbound at low altitude, necessitating separation monitoring. A moving spherical obstacle drifts diagonally through the airspace, adding dynamic collision risk. The UAV must complete its waypoint corridor within a 600-second time limit while maintaining communication link quality. Key constraints include NFZ avoidance, GNSS multipath risks in valleys, and tight separation thresholds for detect-and-avoid compliance.",Use GNSS-only above 300 m AGL for best signal,Rely solely on IMU during valley transit,Fuse lidar with visual odometry in deep canyons,Disable lidar to save power in foggy zones,Follow fixed-wing mode below 100 m in NFZ,Use RGB camera for position hold in gusts,Switch to VTOL mode near moving obstacle,"[""Use GNSS-only above 300 m AGL for best signal"", ""Rely solely on IMU during valley transit"", ""Fuse lidar with visual odometry in deep canyons"", ""Disable lidar to save power in foggy zones"", ""Follow fixed-wing mode below 100 m in NFZ"", ""Use RGB camera for position hold in gusts"", ""Switch to VTOL mode near moving obstacle""]","In valleys with GNSS multipath, lidar and visual odometry provide terrain-relative positioning without drift. Fusing them with IMU mitigates occlusion and maintains accuracy under wind disturbances. This preserves energy and situational awareness while ensuring NFZ and obstacle compliance." 2025-11-01T18:05:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/moving_nfz_event_convertiplane_rain_64638fb69404_mcq.json,uavbench-mcq-v1,moving_nfz_event_convertiplane_rain,minimax/minimax-m1,9,Comparative System Reasoning,7,?,F,False,"Which system ensures safe flight under icing, GNSS degradation, and moving obstacles with minimal energy use?","The mission is an inspection flight using a convertiplane UAV equipped with RGB camera and lidar, operating near an airport perimeter. The airspace includes a static no-fly zone and a moving NFZ that shifts during the flight, requiring dynamic path planning. Weather conditions feature moderate rain, poor visibility, and icing risk, with winds increasing in speed and shifting direction with altitude. The UAV must maintain separation from other air traffic and a moving spherical obstacle while adhering to strict altitude and geofence constraints. GNSS signals are degraded due to multipath effects and mild jamming, complicating navigation near structures. The flight profile involves transitioning between hover and fixed-wing modes, with limited time to complete the corridor-style waypoint mission. A runway landing is required, and the preferred site is near the runway threshold, with two emergency landing options available. An icing event occurs mid-mission, reducing performance for one minute, while brief communication dropouts affect uplink and downlink. Battery reserve is tightly managed, and energy consumption is impacted by wind, drag, and manoeuvring demands. Mission success depends on avoiding collisions, NFZ breaches, and maintaining minimum separation thresholds throughout the flight.",Monocular vision-only navigation with no redundancy,Pure GNSS-dependent autopilot with fixed hover mode,Lidar-only SLAM in rainy conditions with high power draw,Dual RTK-GNSS with adaptive path planning and ICE detection,Open-loop control with preloaded static waypoints,GPS-aided INS with lidar and dynamic mode transition logic,Terrain-following radar without obstacle avoidance fusion,"[""Monocular vision-only navigation with no redundancy"", ""Pure GNSS-dependent autopilot with fixed hover mode"", ""Lidar-only SLAM in rainy conditions with high power draw"", ""Dual RTK-GNSS with adaptive path planning and ICE detection"", ""Open-loop control with preloaded static waypoints"", ""GPS-aided INS with lidar and dynamic mode transition logic"", ""Terrain-following radar without obstacle avoidance fusion""]","GPS-aided INS maintains navigation accuracy during GNSS degradation by fusing inertial data, while lidar enables obstacle detection despite rain. Dynamic mode transition optimizes energy use across hover and fixed-wing flight, balancing endurance and adaptability under wind and icing effects. Other systems fail in redundancy, environmental robustness, or energy efficiency under combined stressors." 2025-11-01T18:05:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_escort_heavy_lift_hail_ce1dc0652fdb_mcq.json,uavbench-mcq-v1,offshore_escort_heavy_lift_hail,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During a 1-minute icing event with GNSS jamming and comms blackout, how should the follower UAV maintain formation at 110 m AGL in 16 m/s winds?","Heavy-lift UAV conducts offshore delivery near an oil platform in severe weather with hail and strong gusty winds. Operating in a restricted offshore airspace with a maximum altitude of 120 meters AGL and a minimum of 10 meters. Winds are westerly at 12 m/s at sea level, increasing to 16 m/s at 100 meters with shifting direction. The UAV is equipped with full sensor suite including radar, LiDAR, thermal and RGB cameras, and GNSS under moderate jamming. A dynamic no-fly zone moves through the area, requiring real-time re-planning to maintain separation. The mission involves a three-UAV swarm with leader-follower-relay roles, requiring 20-meter inter-UAV separation. Aircraft must avoid a central static NFZ around the platform and a moving spherical obstacle drifting east to west. An icing event occurs mid-mission, reducing performance for one minute, coinciding with a comms uplink blackout. Payload is 8 kg with significant drag, impacting energy use in high winds and reducing battery endurance. Mission must complete within 10 minutes, with strict DAA thresholds and limited emergency landing options.",Switch to INS-LiDAR fused navigation with authenticated local swarm ranging,Rely solely on last-known GNSS position with open-loop control,Increase throttle to maintain position using unverified leader telemetry,Descend to 15 m AGL using unencrypted radio relay updates,Hover with zero velocity input until GNSS signal-to-noise improves,Broadcast frequent position pings via unsecured Wi-Fi for swarm sync,"Execute return-to-launch using cached route, ignoring dynamic NFZ","[""Switch to INS-LiDAR fused navigation with authenticated local swarm ranging"", ""Rely solely on last-known GNSS position with open-loop control"", ""Increase throttle to maintain position using unverified leader telemetry"", ""Descend to 15 m AGL using unencrypted radio relay updates"", ""Hover with zero velocity input until GNSS signal-to-noise improves"", ""Broadcast frequent position pings via unsecured Wi-Fi for swarm sync"", ""Execute return-to-launch using cached route, ignoring dynamic NFZ""]","A ensures continuity via sensor fusion (INS+LiDAR) during GNSS denial, while authenticated ranging preserves swarm integrity. It maintains control stability under wind and avoids cyber-physical risks like spoofing or unverified data. Other options fail to protect data integrity or violate altitude/NFZ constraints during blackout." 2025-11-01T18:05:59Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_forest_search_convertiplane_cold_8edc3b1a600a_mcq.json,uavbench-mcq-v1,offshore_forest_search_convertiplane_cold,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 380s, icing fault occurs with 30% battery reserve, 15 m/s WNW winds, and a moving NFZ drifting west. What is optimal?","This scenario involves a search and rescue mission using a convertiplane UAV in offshore platform airspace. The UAV operates in cold weather conditions with snowfall and icing, posing risks to flight performance and sensors. Winds increase with altitude, reaching up to 15 m/s from the west-northwest, requiring careful flight path planning. The convertiplane carries both RGB and thermal cameras for detection, supported by LIDAR and full navigation sensors. GNSS signals experience multipath interference and moderate jamming, while electromagnetic interference further challenges avionics. The airspace includes a static no-fly zone around a central cylinder and a moving no-fly zone drifting westward, requiring dynamic avoidance. A single traffic UAV approaches from the east, and a moving spherical obstacle drifts slowly through the search area. The mission follows a spiral search pattern through four waypoints within a time limit, requiring a runway landing at the end. Battery reserve is set to 30%, and an icing fault event occurs midway, reducing performance for two minutes. Communication dropouts occur briefly at 150 and 400 seconds, testing autonomy and resilience.",Climb to 120 AGL for clearer GNSS and resume spiral,Continue current altitude and complete waypoint 3,"Descend to 60 AGL, delay waypoint 4, and monitor icing","Abort search, divert directly to runway at 80 AGL",Increase speed to 18 m/s to finish before icing worsens,Turn east to avoid moving NFZ and ascend to 100 AGL,Hover for 90s to wait out icing fault and communication dropout,"[""Climb to 120 AGL for clearer GNSS and resume spiral"", ""Continue current altitude and complete waypoint 3"", ""Descend to 60 AGL, delay waypoint 4, and monitor icing"", ""Abort search, divert directly to runway at 80 AGL"", ""Increase speed to 18 m/s to finish before icing worsens"", ""Turn east to avoid moving NFZ and ascend to 100 AGL"", ""Hover for 90s to wait out icing fault and communication dropout""]","Descending to 60 AGL reduces exposure to stronger winds and icing risk while maintaining obstacle clearance. It preserves battery and allows adaptive replanning around the moving NFZ and traffic. Continuing or climbing risks performance loss, while aborting or hovering wastes reserve or violates timing constraints." 2025-11-01T18:06:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_haps_inspection_rain_2b037f11e5b5_mcq.json,uavbench-mcq-v1,offshore_haps_inspection_rain,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,F,False,"At 400 seconds, icing reduces lift; UAV must inspect corridor, avoid 50m from moving obstacle, and land within 900s despite GNSS jamming.","This scenario involves a high-altitude pseudo-satellite (HAPS) conducting an offshore wind farm inspection in rainy and icy conditions. The mission takes place within a defined polygonal airspace between 100 and 600 meters AGL, featuring a static no-fly zone around a central turbine and a moving no-fly zone. Wind speeds increase with altitude, reaching up to 18 m/s from the west-northwest, with gusts and thermal updrafts affecting flight dynamics. The UAV is equipped with radar, RGB and thermal cameras, and relies on battery power with significant drag and energy consumption during hover and cruise. GNSS signals are degraded due to jamming and electromagnetic interference, increasing navigation risk. A second UAV and a moving spherical obstacle traverse the airspace, requiring separation management with a 50-meter threshold. The mission includes a fault injection simulating moderate icing at 400 seconds, which impacts aerodynamic performance. Communication experiences brief uplink/downlink outages, testing resilience in poor link conditions. The UAV must complete a corridor inspection pattern and return for a runway landing, all within a 900-second time limit and without breaching NFZs or geofences.",Ascend to 600m for clearer GNSS and reduced drag,Hover at 300m to await obstacle clearance,"Divert to secondary corridor, coordinating altitude with second UAV","Accelerate inspection using thermal-only mode, ignoring RGB",Descend to 100m to minimize wind exposure and save power,Transmit priority telemetry and request relay via second UAV,"Maintain course, reduce speed, and increase bank angle for turn","[""Ascend to 600m for clearer GNSS and reduced drag"", ""Hover at 300m to await obstacle clearance"", ""Divert to secondary corridor, coordinating altitude with second UAV"", ""Accelerate inspection using thermal-only mode, ignoring RGB"", ""Descend to 100m to minimize wind exposure and save power"", ""Transmit priority telemetry and request relay via second UAV"", ""Maintain course, reduce speed, and increase bank angle for turn""]","Option F ensures communication resilience during uplink/downlink outages by leveraging inter-agent relay, maintaining situational awareness. It preserves mission timing and separation from the moving obstacle under degraded GNSS. Other choices risk energy overuse, collision, or loss of coordination during critical fault conditions." 2025-11-01T18:06:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/night_ops_hexacopter_bridge_inspection_340e90a9ffaa_mcq.json,uavbench-mcq-v1,night_ops_hexacopter_bridge_inspection,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"At 8.5 m/s winds and 4.2 m/s gusts, which action balances energy use, obstacle avoidance, and 30% battery reserve during inspection near (100, 75)?","This is a night-time bridge inspection mission using a hexacopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The operation takes place in a designated bridge site airspace with a rectangular geofenced area and both static and moving no-fly zones. Weather conditions include strong winds from the southwest at 8.5 m/s with gusts up to 4.2 m/s, poor visibility, and a risk of microbursts. The UAV has a battery capacity of 850 Wh and must maintain a 30% reserve while operating within an altitude range of 5 to 120 meters AGL. A static no-fly cylinder is centered under the bridge at (100, 75), restricting flight between 10 and 60 meters altitude. A dynamic no-fly zone moves slowly across the area at 2.2 m/s, requiring real-time avoidance. Another moving obstacle—a 5-meter sphere—drifts diagonally through the inspection zone. A single other UAV is present in the airspace, traveling west at 12 m/s, with separation monitoring active to maintain at least 25 meters distance and a time-to-closest approach threshold of 15 seconds. Brief communication dropouts are expected between 120–130 and 450–460 simulation seconds, requiring resilient control and navigation.",Climb to 120m for stable winds and clear LOS,Descend to 8m to避 gusts under bridge deck,Hover at 50m using LiDAR to scan static no-fly zone,Fly east at 10 m/s to outrun moving obstacle,"Reduce speed to 3 m/s, adjust heading for wind alignment","Ascend to 110m, circle to await communication recovery","Descend to 65m, follow geofence edge with thermal scan","[""Climb to 120m for stable winds and clear LOS"", ""Descend to 8m to避 gusts under bridge deck"", ""Hover at 50m using LiDAR to scan static no-fly zone"", ""Fly east at 10 m/s to outrun moving obstacle"", ""Reduce speed to 3 m/s, adjust heading for wind alignment"", ""Ascend to 110m, circle to await communication recovery"", ""Descend to 65m, follow geofence edge with thermal scan""]","Reducing speed to 3 m/s improves control stability in gusts and lowers power use, extending battery life. Aligning heading with wind direction minimizes lateral drift and collision risk near dynamic obstacles. This balances aerodynamic efficiency, navigation accuracy, and energy conservation while maintaining safe separation and reserve." 2025-11-01T18:06:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/night_ops_quad_bridge_inspection_8301459e59ab_mcq.json,uavbench-mcq-v1,night_ops_quad_bridge_inspection,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,"At 45m AGL, UAV must inspect near a static no-fly cylinder while winds reach 10 m/s and a second UAV operates nearby.","Nighttime bridge inspection mission using a quadrotor UAV equipped with RGB and thermal cameras, lidar, and standard navigation sensors. Operations occur in a confined airspace around a bridge with a maximum altitude of 60 meters AGL and a minimum of 5 meters. Weather includes poor visibility, rain, icing conditions, and moderate winds up to 10 m/s increasing with altitude. A static no-fly zone blocks access to a central cylinder near the bridge structure, while a dynamic no-fly zone moves through the area. GNSS multipath and electromagnetic interference degrade navigation signals, with a planned GNSS jamming event during flight. The UAV must avoid a moving obstacle near a critical inspection point while maintaining separation from another UAV in the vicinity. An icing event occurs mid-mission, reducing performance, and communication dropouts affect uplink and downlink briefly. The flight plan follows a corridor pattern through five waypoints, requiring precise maneuvering within tight spatial limits. Battery reserves are critical due to high power demands in windy conditions and sensor loads. Mission success depends on completing the route within time, avoiding collisions, and maintaining safe operational margins.",Descend to 25m to reduce wind load and sensor strain,Maintain 45m and adjust heading to avoid dynamic no-fly zone,Ascend to 55m for clearer GNSS despite jamming risk,Halt propulsion to stabilize cameras during thermal scan,Increase speed to exit high-wind zone before battery drop,Follow same altitude as other UAV to simplify coordination,Orbit static obstacle at 30m radius to maintain separation,"[""Descend to 25m to reduce wind load and sensor strain"", ""Maintain 45m and adjust heading to avoid dynamic no-fly zone"", ""Ascend to 55m for clearer GNSS despite jamming risk"", ""Halt propulsion to stabilize cameras during thermal scan"", ""Increase speed to exit high-wind zone before battery drop"", ""Follow same altitude as other UAV to simplify coordination"", ""Orbit static obstacle at 30m radius to maintain separation""]","Maintaining 45m AGL balances wind exposure and sensor accuracy while respecting the vertical airspace limits. It allows continued progress within the corridor pattern without conflicting with the other UAV’s trajectory or entering the dynamic no-fly zone. Other options compromise safety margins, communication timing, or inter-agent separation." 2025-11-01T18:06:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/night_ops_training_fixed_wing_jungle_snowfall_d4cc892bc08a_mcq.json,uavbench-mcq-v1,night_ops_training_fixed_wing_jungle_snowfall,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"During a 1-minute icing event at 120m AGL with marginal signals, how should the UAV adjust its corridor pattern to maintain mission integrity and safety?","Fixed-wing UAV conducts nighttime mapping mission in a jungle environment with snowfall and poor visibility. Operating altitude ranges from 30 to 180 meters AGL within a defined rectangular geofence. Weather includes moderate to strong winds increasing with altitude, gusts, and dynamic wind shifts from the southwest. UAV is equipped with RGB and thermal cameras for payload, relying on battery power with limited endurance. GNSS signals suffer from multipath effects and electromagnetic interference, degrading navigation accuracy. A static no-fly zone and a moving restricted zone require careful path planning to maintain separation. Mission involves flying a corridor pattern through four waypoints, requiring a runway for takeoff and landing. An icing event occurs mid-mission, reducing aerodynamic performance for one minute. Communications experience two brief downlink outages, and signal strength remains marginal. Encounters with wind shear, a drifting obstacle, and conflicting traffic add complexity to safe navigation.",Descend immediately to 30m to reduce wind exposure and ice accumulation,Hold altitude and reduce speed to preserve navigation accuracy,Abort mission and return to runway using thermal-guided descent,Climb to 180m for stronger GNSS despite higher wind gusts,Switch to RGB-only mode to save battery during signal outage,Skip next waypoint to conserve energy for landing phase,Broadcast hold signal to wingman UAVs and enter loiter pattern,"[""Descend immediately to 30m to reduce wind exposure and ice accumulation"", ""Hold altitude and reduce speed to preserve navigation accuracy"", ""Abort mission and return to runway using thermal-guided descent"", ""Climb to 180m for stronger GNSS despite higher wind gusts"", ""Switch to RGB-only mode to save battery during signal outage"", ""Skip next waypoint to conserve energy for landing phase"", ""Broadcast hold signal to wingman UAVs and enter loiter pattern""]",Coordinating a loiter via broadcast maintains swarm synchronization and preserves formation geometry during degraded performance. It accounts for communication delays and ensures all agents remain aware during GNSS and downlink outages. Other options break coordination by acting unilaterally or increasing risk without team alignment. 2025-11-01T18:06:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/night_ops_quadrotor_bridge_inspection_270fa44f72c4_mcq.json,uavbench-mcq-v1,night_ops_quadrotor_bridge_inspection,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,Plan a 10-minute bridge inspection at 5–120 m AGL with 25 m separation from another UAV and a central cylindrical NFZ.,"Nighttime bridge inspection mission using a quadrotor UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Operations occur within a defined bridge site airspace near urban infrastructure, featuring both static and dynamic no-fly zones. The environment has poor visibility and high temperatures, with strong westerly winds increasing with altitude and gusts up to 4 m/s. Wind speed ranges from 8 m/s at ground level to 12 m/s at 50 meters, creating challenging flight conditions. The UAV is a 2.5 kg quadrotor with a 0.3 kg payload, powered by a 220 Wh battery, limiting flight time and requiring efficient path planning. GNSS signals are degraded due to multipath effects and moderate jamming at -85 dBm, affecting positioning accuracy near the structure. A cylindrical no-fly zone is located at the center of the bridge area, and a smaller dynamic obstacle moves slowly through the site. Another UAV enters the airspace from the east, requiring separation maintenance of at least 25 meters and 15 seconds time-to-closest approach. The mission follows a corridor inspection pattern with five waypoints, must be completed within 10 minutes, and avoids NFZs and geofence boundaries. Primary constraints include battery reserve (30%), low-altitude flight between 5–120 m AGL, and reliance on sensor fusion due to unreliable GNSS.",Fly at 120 m AGL to avoid wind gusts and use GNSS for stability,Descend to 5 m AGL and proceed directly through the cylindrical NFZ,"Follow corridor pattern at 60 m AGL, monitor dynamic obstacle and traffic",Increase speed to 15 m/s to finish early and conserve battery,Rely solely on GNSS and ignore sensor fusion near the bridge structure,Climb to 130 m AGL to escape multipath and improve camera resolution,"Divert to eastern runway, delay mission until winds drop below 8 m/s","[""Fly at 120 m AGL to avoid wind gusts and use GNSS for stability"", ""Descend to 5 m AGL and proceed directly through the cylindrical NFZ"", ""Follow corridor pattern at 60 m AGL, monitor dynamic obstacle and traffic"", ""Increase speed to 15 m/s to finish early and conserve battery"", ""Rely solely on GNSS and ignore sensor fusion near the bridge structure"", ""Climb to 130 m AGL to escape multipath and improve camera resolution"", ""Divert to eastern runway, delay mission until winds drop below 8 m/s""]","The correct option maintains the required 5–120 m AGL band, avoids the NFZ, and uses sensor fusion to handle GNSS degradation. It balances wind effects, collision avoidance, and timing while preserving 30% battery. Other options violate altitude, NFZ, separation, or endurance constraints." 2025-11-01T18:06:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/hexacopter_vtol_transition_sandstorm_a4d6f17b2692_mcq.json,uavbench-mcq-v1,hexacopter_vtol_transition_sandstorm,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 120s, GNSS jamming hits -85 dBm; wind is 14 m/s. Which action maintains position and navigation integrity?","This is an inspection mission conducted by a hexacopter UAV near an airport perimeter in a desert environment. The UAV operates within a defined airspace corridor between 10 and 120 meters AGL, avoiding a cylindrical no-fly zone centered at (100, 75). Strong winds up to 14 m/s increase with altitude and shift in direction, creating challenging flight conditions. A sandstorm reduces visibility and introduces particulate interference, while GNSS multipath and jamming at -85 dBm degrade navigation reliability. The hexacopter transitions between VTOL and forward-flight modes using 8- and 10-second profiles, carrying a 0.7 kg payload with RGB camera and LiDAR sensors active. An opposing UAV traffic vehicle crosses the zone at 18 m/s, requiring separation maintenance of at least 25 meters or 15 seconds TTC. A moving spherical obstacle drifts leftward at 2 m/s near the first waypoint, adding dynamic collision risk. The UAV experiences two faults: a 45-second GNSS jamming event at 120 seconds and a partial motor failure at 300 seconds. Communication downlink is lost during two intervals, and battery reserve is set to 30%, constraining endurance under high wind and sandstorm-induced power demands.",Switch to encrypted INS with LIDAR terrain correlation,Trust GNSS and reduce throttle to save battery,Increase reliance on RGB camera for optical flow,Broadcast unencrypted distress signal for ATC guidance,Disable LiDAR to reduce power load,Hover using GNSS despite signal degradation,Request remote pilot takeover via unauthenticated link,"[""Switch to encrypted INS with LIDAR terrain correlation"", ""Trust GNSS and reduce throttle to save battery"", ""Increase reliance on RGB camera for optical flow"", ""Broadcast unencrypted distress signal for ATC guidance"", ""Disable LiDAR to reduce power load"", ""Hover using GNSS despite signal degradation"", ""Request remote pilot takeover via unauthenticated link""]","Encrypted INS resists spoofing while LIDAR terrain correlation maintains position accuracy without GNSS. This preserves control stability and security during jamming. Other options expose the UAV to data tampering, denial, or physical drift." 2025-11-01T18:06:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_bridge_inspection_vtol_ef2ca1c0a618_mcq.json,uavbench-mcq-v1,offshore_bridge_inspection_vtol,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"After GNSS jamming at 320s and motor failure at 450s, which action maximizes inspection completion within 10-minute limit and safe battery reserve?","This is a VTOL tiltrotor UAV conducting an offshore bridge inspection mission near an offshore platform. The aircraft operates within a defined airspace bounded by a polygonal geofence, with altitude limits between 5 and 150 meters AGL. Winds are moderate at 8.5 m/s from 240° at sea level, increasing to 12 m/s at 100 meters with a shift in direction. The UAV carries a dual payload of RGB and thermal cameras for structural inspection, with additional LiDAR for navigation and obstacle detection. Key constraints include a static no-fly zone around a central cylinder and a moving no-fly zone drifting northwest at 2.2 m/s. A second UAV and a moving spherical obstacle traverse the area, requiring dynamic separation with a 25-meter minimum distance threshold. GNSS signals are vulnerable, with intentional jamming events and electromagnetic interference degrading navigation during flight. The mission requires runway-assisted takeoff and landing, with a tight 10-minute time budget and strict battery reserves. Notable faults include a GNSS jamming event at 320 seconds and a partial motor failure at 450 seconds, compounded by intermittent downlink outages.",Continue full-speed with both cameras active,Descend to 5m AGL and fly due east,"Disable thermal camera, reduce speed by 30%",Climb to 150m for better GNSS reception,Hover for 90 seconds to restore downlink,Jettison LiDAR to reduce weight,Switch to dead reckoning and shorten path,"[""Continue full-speed with both cameras active"", ""Descend to 5m AGL and fly due east"", ""Disable thermal camera, reduce speed by 30%"", ""Climb to 150m for better GNSS reception"", ""Hover for 90 seconds to restore downlink"", ""Jettison LiDAR to reduce weight"", ""Switch to dead reckoning and shorten path""]","Switching to dead reckoning preserves power by avoiding climb or hover, while path shortening compensates for reduced speed from motor failure. It maintains essential payloads and adheres to battery and time constraints despite degraded navigation." 2025-11-01T18:06:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_convertiplane_search_05b93cc57c7a_mcq.json,uavbench-mcq-v1,offshore_convertiplane_search,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During GNSS jamming at 450s, winds 12 m/s, and -75 dBm signal, which navigation strategy maintains accuracy and safety?","This scenario involves a search and rescue mission using a battery-powered convertiplane UAV in offshore airspace near a platform. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates within a defined polygonal airspace with a minimum altitude of 10 meters AGL and a maximum of 300 meters. Winds are strong, increasing with altitude from 8 m/s at sea level to 15 m/s at 200 meters, with a microburst risk and gusts up to 4.5 m/s. A static no-fly zone surrounds a central platform area, and a dynamic no-fly zone moves southwest, requiring real-time avoidance. The UAV must follow a corridor search pattern across five waypoints and use a designated runway for landing. It faces communication dropouts between 200–210 and 450–465 seconds, and experiences GNSS jamming and a microburst event during flight. Electromagnetic interference and GNSS signal degradation (-75 dBm) add navigation challenges, especially during the jamming fault. The UAV must maintain separation from another UAV and a moving spherical obstacle while managing energy to complete the 10-minute mission safely.",Switch exclusively to LiDAR for position hold,Rely on GNSS despite jamming to maintain course,Use IMU-visual fusion with motion compensation,Descend to 10 m AGL to avoid wind gusts,Pause search and hover using thermal stabilization,Follow predicted waypoint path using dead reckoning,Ascend to 250 m for stronger GNSS signal,"[""Switch exclusively to LiDAR for position hold"", ""Rely on GNSS despite jamming to maintain course"", ""Use IMU-visual fusion with motion compensation"", ""Descend to 10 m AGL to avoid wind gusts"", ""Pause search and hover using thermal stabilization"", ""Follow predicted waypoint path using dead reckoning"", ""Ascend to 250 m for stronger GNSS signal""]","IMU-visual fusion compensates for GNSS outage by leveraging camera and inertial data, corrected for wind-induced motion blur. It avoids LiDAR occlusion and GNSS unreliability while maintaining position integrity. This method preserves energy and situational awareness under signal degradation and strong winds." 2025-11-01T18:06:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_pipeline_inspection_octocopter_9c85b160cdf5_mcq.json,uavbench-mcq-v1,offshore_pipeline_inspection_octocopter,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,E,False,"Inspect offshore pipeline at 8.5 m/s wind, avoid NFZ and moving obstacle, return in 600 s with 4800 Wh battery.","This scenario involves an offshore pipeline inspection mission using an octocopter UAV. The operation takes place near an offshore platform within a defined rectangular airspace. Weather conditions include moderate winds from 210 degrees at 8.5 m/s with gusts up to 4.2 m/s, poor visibility, and dust. The octocopter is equipped with radar, RGB and thermal cameras, and relies on battery power with a 4800 Wh capacity. The UAV must navigate a corridor inspection pattern while avoiding a cylindrical no-fly zone around a central structure. A moving spherical obstacle drifts slowly through the area, requiring dynamic path adjustments. Air traffic includes another UAV moving westward at 12 m/s. Communication experiences two brief downlink loss periods, requiring resilient data handling. GNSS signals may suffer from multipath effects due to nearby structures, and UAV separation must be maintained above 25 meters to avoid conflicts. The mission must be completed within 600 seconds, returning to the starting point with sufficient battery reserve.","Fly at 60 m AGL, maintain 30 m separation, use thermal to track obstacle","Descend to 40 m AGL to reduce wind load, proceed direct through NFZ","Climb to 120 m AGL for clearer GNSS, accelerate to 14 m/s",Delay start by 90 s to wait for visibility improvement,"Reduce speed to 6 m/s, fly 55 m AGL, reroute around obstacle and NFZ",Follow the other UAV at 10 m separation to share data link,"Proceed at 11 m/s, skip thermal imaging to save battery","[""Fly at 60 m AGL, maintain 30 m separation, use thermal to track obstacle"", ""Descend to 40 m AGL to reduce wind load, proceed direct through NFZ"", ""Climb to 120 m AGL for clearer GNSS, accelerate to 14 m/s"", ""Delay start by 90 s to wait for visibility improvement"", ""Reduce speed to 6 m/s, fly 55 m AGL, reroute around obstacle and NFZ"", ""Follow the other UAV at 10 m separation to share data link"", ""Proceed at 11 m/s, skip thermal imaging to save battery""]","E maintains safe separation (>25 m), avoids NFZ geometry, and adjusts speed for obstacle avoidance. It conserves battery while accommodating GNSS multipath risks at moderate altitude. Other options violate separation, enter NFZ, or risk endurance and navigation." 2025-11-01T18:06:00Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_platform_recon_octocopter_bbd2e3fb3e75_mcq.json,uavbench-mcq-v1,offshore_platform_recon_octocopter,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"An octocopter faces 8.5 m/s winds from 240°, thermal updrafts, and GNSS degradation while surveying near an offshore platform at 5–120 m AGL with 30% battery reserve.","This mission involves an octocopter conducting a survey around an offshore platform. The UAV is equipped with RGB and thermal cameras, lidar, and standard navigation sensors. It operates within a defined polygon airspace between 5 and 120 meters AGL, with good visibility but moderate winds from 240° at 8.5 m/s and gusts up to 4.2 m/s. Thermal updrafts near platform structures provide localized vertical air movement. A static no-fly zone surrounds a central platform area, and a dynamic no-fly zone moves west-northwest, requiring real-time avoidance. The UAV must also avoid a slowly moving spherical obstacle and maintain separation from another UAV entering the airspace. GNSS signals are degraded by multipath effects and mild jamming, while electromagnetic interference poses additional navigation challenges. Short comms outages occur twice during the flight, affecting uplink and downlink. Battery endurance is critical, with a reserve fraction of 30% and limited energy capacity. The mission requires completing a corridor-style waypoint route within 10 minutes, returning to the starting point, while adhering to strict separation and airspace constraints.",Climb to 110 m to avoid obstacles and improve GNSS reception,Fly direct route at 60 m AGL to minimize time and energy use,Descend to 10 m AGL to reduce wind exposure and save power,Hover and wait for GNSS signal to stabilize before continuing,Adjust heading to 60° into wind for better control and lift,"Follow corridor at 40 m AGL, crabbing 24° to compensate wind",Increase speed to 15 m/s to finish early and conserve battery,"[""Climb to 110 m to avoid obstacles and improve GNSS reception"", ""Fly direct route at 60 m AGL to minimize time and energy use"", ""Descend to 10 m AGL to reduce wind exposure and save power"", ""Hover and wait for GNSS signal to stabilize before continuing"", ""Adjust heading to 60° into wind for better control and lift"", ""Follow corridor at 40 m AGL, crabbing 24° to compensate wind"", ""Increase speed to 15 m/s to finish early and conserve battery""]","Flying at 40 m AGL balances clearance from obstacles, reduced wind gust impact, and thermal updraft utilization. Crabbing 24° compensates for 240° wind while maintaining track, preserving energy and navigation accuracy under GNSS degradation. This ensures timely completion, separation, and compliance with altitude and reserve constraints." 2025-11-01T18:06:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_glider_inspection_jungle_lowvis_542db9017f6d_mcq.json,uavbench-mcq-v1,offshore_glider_inspection_jungle_lowvis,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,A glider UAV must inspect 4 waypoints in 10 minutes with 25m DAA separation from a moving obstacle and second UAV in icing conditions.,"This scenario involves a glider UAV conducting an inspection mission in a dense jungle environment with poor visibility and icing conditions. The mission takes place within a confined rectangular airspace bordered by geofences, with a static no-fly zone over a cylinder near the center and a moving no-fly zone drifting slowly through the area. Strong and increasing winds are present, shifting direction and intensifying with altitude, while thermal updrafts offer potential lift opportunities. The UAV is equipped with a battery-powered propulsion system, RGB camera payload, and standard sensors including GNSS, IMU, and barometer, but lacks lidar and thermal imaging. GNSS signals are degraded due to multipath effects and electromagnetic interference, with brief communication link losses occurring during flight. The glider must navigate around a dynamic obstacle moving through the inspection corridor and maintain safe separation from another UAV flying through the airspace. Flight is constrained by low minimum altitude and strict battery reserve requirements, with an icing fault artificially induced mid-mission to test resilience. The mission follows a corridor pattern with four waypoints, requiring precise navigation under aerodynamic and environmental stress. Poor visibility and sensor limitations increase risk, while DAA systems monitor for proximity breaches with a 25-meter threshold. The UAV must complete its route within a 10-minute time budget and return safely to its preferred landing site near the start point.",Fly direct path ignoring thermal updrafts to save time,Climb to maximum altitude for better GNSS reception,Adjust speed to maintain 25m separation while using updrafts,Abort mission immediately due to icing fault detection,Descend below minimum altitude to avoid moving no-fly zone,Rely solely on IMU during GNSS signal loss periods,Prioritize camera quality by circling first waypoint,"[""Fly direct path ignoring thermal updrafts to save time"", ""Climb to maximum altitude for better GNSS reception"", ""Adjust speed to maintain 25m separation while using updrafts"", ""Abort mission immediately due to icing fault detection"", ""Descend below minimum altitude to avoid moving no-fly zone"", ""Rely solely on IMU during GNSS signal loss periods"", ""Prioritize camera quality by circling first waypoint""]","C ensures safe separation from the moving obstacle and other UAV while leveraging thermal lift to conserve battery under icing conditions. It respects time, altitude, and DAA constraints, synchronizing motion with dynamic threats. Other options violate safety margins, energy limits, or mission timing." 2025-11-01T18:06:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_haps_loiter_bb7db89e6f4b_mcq.json,uavbench-mcq-v1,offshore_haps_loiter,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,"At 2,800 m AGL with 16 m/s winds and -75 dBm jamming, which action balances surveillance persistence, swarm separation, and navigation reliability?","High-altitude pseudo-satellite UAV conducts a loiter mission offshore near an oil platform. The UAV operates between 1,000 and 3,000 meters AGL within a defined polygonal airspace. Mission type is persistent surveillance with an orbit pattern around four waypoints. UAV is equipped with radar, RGB and thermal cameras, and relies on battery power. Weather includes strong winds up to 18 m/s increasing with altitude, poor visibility, and dust. A central no-fly zone cylinder prohibits flight within 800 meters of the platform. GNSS signals suffer from multipath and interference, with jamming at -75 dBm. Electromagnetic interference and periodic comms loss affect uplink and downlink. A three-UAV swarm maintains minimum 100-meter separation during coordinated flight. The mission requires runway-aligned approach for landing and faces wind shear across altitudes.","Descend to 1,200 m to reduce wind exposure and power use","Climb to 3,000 m for clearer GNSS and wider sensor coverage",Maintain altitude with increased thrust to counter wind drift,Reduce orbit radius to improve platform monitoring frequency,Switch to thermal-only imaging to cut data transmission load,Initiate landing with runway-aligned approach despite wind shear,Hover at reduced speed using GNSS-INS fusion and radar fix,"[""Descend to 1,200 m to reduce wind exposure and power use"", ""Climb to 3,000 m for clearer GNSS and wider sensor coverage"", ""Maintain altitude with increased thrust to counter wind drift"", ""Reduce orbit radius to improve platform monitoring frequency"", ""Switch to thermal-only imaging to cut data transmission load"", ""Initiate landing with runway-aligned approach despite wind shear"", ""Hover at reduced speed using GNSS-INS fusion and radar fix""]","Descending to 1,200 m reduces wind-induced power demand and structural stress while improving GNSS multipath resilience at lower altitude. It maintains 100 m swarm separation and surveillance capability via radar/thermal, balancing energy, stability, and navigation. Higher altitudes increase wind and jamming impact; smaller orbits violate no-fly zone; hovering risks drift under comms loss." 2025-11-01T18:06:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_hexacopter_gps_spoofing_hail_ea6f13aaccdd_mcq.json,uavbench-mcq-v1,offshore_hexacopter_gps_spoofing_hail,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,Which path avoids the dynamic no-fly zone and maintains 25 m separation during 60 s GNSS spoofing at 110 m AGL?,"This scenario involves a hexacopter conducting an offshore platform inspection mission in poor visibility with active hail and strong, gusty winds increasing with altitude. The UAV is equipped with GNSS, IMU, lidar, and RGB camera for navigation and payload operations. It operates within a defined polygonal airspace with a minimum altitude of 10 m AGL and a maximum of 120 m AGL. A static no-fly zone is present near the platform center, and a dynamic no-fly zone moves through the area during the mission. The hexacopter must follow a corridor inspection pattern while avoiding a moving obstacle and an intruder UAV entering the airspace. GNSS spoofing occurs mid-mission for 60 seconds, degrading position accuracy, and electromagnetic interference adds risk to sensor reliability. The UAV has battery limitations with a reserve fraction of 30%, and communication experiences brief downlink losses. Separation monitoring is enforced with a 25-meter threshold and 20-second time-to-closest approach limit for collision avoidance. Mission success depends on completing waypoints without collisions, geofence breaches, or critical battery depletion despite environmental and sensor challenges.","Climb to 120 m AGL, fly direct to next waypoint","Descend to 10 m AGL, bypass obstacle eastbound",Hold position with lidar-guided hover for 70 seconds,"Bank 30° left, follow geofence perimeter at 110 m",Cut through static NFZ center to save 40 s,"Pitch forward 15°, accelerate beyond gust tolerance",Execute lateral S-curve at 110 m using lidar estimates,"[""Climb to 120 m AGL, fly direct to next waypoint"", ""Descend to 10 m AGL, bypass obstacle eastbound"", ""Hold position with lidar-guided hover for 70 seconds"", ""Bank 30° left, follow geofence perimeter at 110 m"", ""Cut through static NFZ center to save 40 s"", ""Pitch forward 15°, accelerate beyond gust tolerance"", ""Execute lateral S-curve at 110 m using lidar estimates""]","The S-curve maneuver uses lidar to maintain position during GNSS outage, avoids both NFZs, and preserves separation. It balances turn radius limits and wind resistance while staying within the 10–120 m AGL band. Other options breach altitude, NFZ, or separation constraints under sensor degradation." 2025-11-01T18:06:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_platform_ops_swarm_icing_c916abc5bd57_mcq.json,uavbench-mcq-v1,offshore_platform_ops_swarm_icing,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 205s, one UAV suffers icing-induced control loss near (90, 60), 15m from civilians. Wind is 8 m/s west. What is the correct immediate action?","This mission involves a swarm of six UAVs conducting an inspection in an urban canyon environment near offshore infrastructure. The airspace is constrained between 5 and 120 meters AGL, with a cylindrical no-fly zone centered at (100, 75) blocking part of the flight area. Weather conditions include strong 8 m/s winds from the west, gusts up to 4 m/s, poor visibility, and icing conditions that dynamically affect UAV performance. The UAVs are battery-powered octocopters equipped with RGB and thermal cameras, LiDAR, and full navigation sensors, carrying a 0.5 kg payload. The swarm operates in a coordinated pattern with leader-follower roles, maintaining at least 8 meters inter-UAV separation. A moving spherical obstacle ascends along the eastern boundary, adding dynamic collision risk. The flight plan follows a corridor pattern across four waypoints within a 600-second time budget, starting from a fixed spawn point. A single intruder UAV enters from the northeast, requiring sense-and-avoid compliance with a 25-meter separation threshold. An icing fault event at 200 seconds degrades aerodynamics for one minute, while a 20-second comms downlink outage occurs later, testing resilience.",Continue mission; degradation is temporary and within tolerance,"Abort to safe altitude, prioritize controlled descent upwind of civilians",Descend rapidly to ground level to minimize wind exposure,Eject payload to regain stability and continue inspection,Signal swarm to converge and stabilize the failing UAV,Redirect swarm through no-fly zone to avoid collision risk,"Initiate emergency landing in nearest open zone, downwind","[""Continue mission; degradation is temporary and within tolerance"", ""Abort to safe altitude, prioritize controlled descent upwind of civilians"", ""Descend rapidly to ground level to minimize wind exposure"", ""Eject payload to regain stability and continue inspection"", ""Signal swarm to converge and stabilize the failing UAV"", ""Redirect swarm through no-fly zone to avoid collision risk"", ""Initiate emergency landing in nearest open zone, downwind""]","Human safety outweighs mission continuity when control loss risks uncontrolled descent near civilians. B ensures a controlled, upwind descent to avoid endangering people and property. Other options either increase collision/impact risk, violate airspace laws, or compromise swarm safety." 2025-11-01T18:06:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_helicopter_icing_emergency_30cfffc9c6dd_mcq.json,uavbench-mcq-v1,offshore_helicopter_icing_emergency,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"With 400m visibility, 30-knot westerly gusts, and icing reducing lift, how should the UAV prioritize sensors to maintain position near the platform?","This scenario involves a helicopter UAV conducting an offshore inspection mission near an oil platform. The airspace is restricted to a polygonal zone with a cylindrical no-fly area around a critical structure. Weather conditions include strong westerly winds, gusts, poor visibility, and active icing conditions that impact flight performance. The UAV is equipped with radar, camera, and standard navigation sensors but lacks thermal imaging and LiDAR. A significant constraint is an icing event that occurs mid-mission, reducing efficiency and increasing weight. The UAV must maintain separation from a moving obstacle and an intruder aircraft while adhering to strict altitude and geofence limits. Communication experiences a brief downlink loss window, requiring resilient data handling. Two emergency landing sites are available in case of critical failure. The mission must be completed within 10 minutes, with success dependent on avoiding collisions, maintaining separation, and enduring the harsh environmental effects.",Rely solely on GNSS for position updates,Switch to visual-only navigation using camera,Use radar and IMU with wind-compensated fusion,Descend immediately using barometer-only control,Hover using last known GNSS fix and gyros,Navigate via radar-ground correlation ignoring wind,Trust camera-odometry despite poor visibility,"[""Rely solely on GNSS for position updates"", ""Switch to visual-only navigation using camera"", ""Use radar and IMU with wind-compensated fusion"", ""Descend immediately using barometer-only control"", ""Hover using last known GNSS fix and gyros"", ""Navigate via radar-ground correlation ignoring wind"", ""Trust camera-odometry despite poor visibility""]","Radar provides reliable range despite fog and icing, while IMU fills GNSS gaps under dynamic wind loads. Fusing radar with wind-adaptive filtering maintains positioning integrity when visibility and GNSS accuracy degrade. Camera and odometry fail in low visibility, and barometric or open-loop methods drift dangerously under gusts." 2025-11-01T18:06:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/lost_link_rtl_helicopter_mountainous_hail_de4a71a05bba_mcq.json,uavbench-mcq-v1,lost_link_rtl_helicopter_mountainous_hail,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"At 400 s, comms lost; RTL triggered. Wind from west, 50–1200 m AGL, dynamic NFZ moving, 50 m separation required. Which path minimizes risk and fuel?","This scenario involves a helicopter UAV conducting an inspection mission in mountainous terrain. The airspace is defined by a fixed polygon geofence with minimum and maximum altitudes of 50 and 1200 meters AGL. Weather conditions include strong winds from the west, gusts, poor visibility, and active hail. The UAV is equipped with a fuel-based power system, RGB camera payload, and standard navigation sensors but lacks LiDAR and thermal imaging. GNSS performance is degraded due to multipath effects and electromagnetic interference, with moderate jamming present. A static no-fly zone blocks the central area, and a dynamic no-fly zone moves slowly through the environment. A second UAV and a moving spherical obstacle create collision risks, requiring separation maintenance of at least 50 meters. The mission begins with a lost communication link at 400 seconds, simulating a 60-second comms outage that triggers RTL behavior. The UAV must navigate challenging weather and terrain while managing fuel and avoiding faults. Emergency and preferred landing sites are designated at opposite corners of the operational area.","Climb to 1100 m, proceed northeast above dynamic NFZ","Descend to 60 m, fly east below hail layer and static NFZ","Head west into wind, gain altitude for RTL efficiency","Divert south, maintain 400 m, avoid second UAV and obstacle",Fly direct at 800 m despite GNSS drift and jamming,Hover at 400 m until comms restored at 460 s,"Follow valley floor at 100 m, zigzag to avoid terrain","[""Climb to 1100 m, proceed northeast above dynamic NFZ"", ""Descend to 60 m, fly east below hail layer and static NFZ"", ""Head west into wind, gain altitude for RTL efficiency"", ""Divert south, maintain 400 m, avoid second UAV and obstacle"", ""Fly direct at 800 m despite GNSS drift and jamming"", ""Hover at 400 m until comms restored at 460 s"", ""Follow valley floor at 100 m, zigzag to avoid terrain""]","Diverting south at 400 m balances terrain clearance, GNSS reliability near lower AGL, and lateral separation from dynamic hazards. It avoids wind resistance and preserves fuel while maintaining visibility for camera navigation. Direct paths violate separation or NFZs; low flight risks terrain impact, high flight increases drift and fuel use." 2025-11-01T18:06:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_search_rescue_glider_rain_d79abddc5707_mcq.json,uavbench-mcq-v1,offshore_search_rescue_glider_rain,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"Given GNSS degradation, icing at 300 m, and 16 m/s winds, which navigation strategy maintains corridor accuracy within 600 seconds?","This is a search and rescue mission conducted offshore near an oil platform using a fixed-wing glider UAV. The glider is equipped with radar, RGB and thermal cameras, and standard navigation sensors. Operations take place in poor visibility with rain and icing conditions, and winds increase with altitude from 8.5 m/s at sea level to 16 m/s at 300 m. The UAV must navigate around a static no-fly zone near the platform center and avoid a moving no-fly zone drifting southwest. A second UAV and a moving spherical obstacle create dynamic collision risks. GNSS signals are degraded by multipath effects and moderate jamming, while electromagnetic interference may affect systems. The mission requires flying a corridor pattern through five waypoints within a 600-second time limit, maintaining altitudes between 10 m and 450 m AGL. Battery reserve is set to 30%, and energy use is impacted by drag and maneuvering in gusty, turbulent conditions. An icing event occurs mid-mission, reducing performance for 120 seconds, compounding weather-related challenges.",Prioritize GNSS despite multipath; correct drift every 60 s,Switch to IMU-only during jamming; reset at each waypoint,Fuse radar altimeter with thermal SLAM for low-altitude updates,Rely on RGB optical flow below 50 m in heavy rain,Use predictive wind models without sensor feedback,Increase reliance on magnetometer for heading in storms,Disable thermal camera to save power during icing event,"[""Prioritize GNSS despite multipath; correct drift every 60 s"", ""Switch to IMU-only during jamming; reset at each waypoint"", ""Fuse radar altimeter with thermal SLAM for low-altitude updates"", ""Rely on RGB optical flow below 50 m in heavy rain"", ""Use predictive wind models without sensor feedback"", ""Increase reliance on magnetometer for heading in storms"", ""Disable thermal camera to save power during icing event""]","Radar altimeter provides reliable height over sea despite rain and icing, while thermal SLAM enables feature tracking in poor visibility. Fusing these compensates for GNSS degradation and IMU drift, maintaining positional integrity within the corridor under turbulent, sensor-hostile conditions." 2025-11-01T18:06:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_platform_recon_octocopter_f496c5d716ad_mcq.json,uavbench-mcq-v1,offshore_platform_recon_octocopter,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"An octocopter must cover a grid in 600 seconds, avoid a no-fly zone (20m radius, 10–80m altitude), and maintain 25m separation from a second UAV.","This mission involves an octocopter conducting area reconnaissance near an offshore platform. The operation takes place in a defined offshore airspace with a maximum altitude of 120 meters AGL and a minimum of 10 meters. Winds are moderate at 8 m/s from 135 degrees, with gusts up to 4 m/s, and visibility is good. The UAV is equipped with RGB and thermal cameras for payload, relying on battery power with a 450 Wh capacity. A no-fly zone is enforced as a vertical cylinder around the platform center, restricting flight within 20 meters horizontally and between 10 to 80 meters altitude. The mission requires covering a grid pattern within a 600-second time budget, starting from a hover at 50 meters altitude. The UAV must maintain a separation of at least 25 meters from traffic and avoid dynamic obstacles, such as a moving sphere near the platform. GNSS, IMU, magnetometer, and barometer support navigation, though offshore multipath effects may affect positioning near structures. One other UAV enters the airspace, requiring detect-and-avoid compliance, and the mission emphasizes battery management, geofence adherence, and safe return.","Fly at 40m AGL, enter no-fly zone briefly to shorten path",Descend to 15m to improve image resolution inside no-fly zone,Adjust speed to 8 m/s to finish early and conserve battery,Coordinate with other UAV to alternate grid rows and reduce conflict,Climb to 110m to avoid moving sphere and improve GNSS lock,Hover at 50m for 30 seconds to reset navigation near platform,Transmit thermal data every 10s to conserve bandwidth,"[""Fly at 40m AGL, enter no-fly zone briefly to shorten path"", ""Descend to 15m to improve image resolution inside no-fly zone"", ""Adjust speed to 8 m/s to finish early and conserve battery"", ""Coordinate with other UAV to alternate grid rows and reduce conflict"", ""Climb to 110m to avoid moving sphere and improve GNSS lock"", ""Hover at 50m for 30 seconds to reset navigation near platform"", ""Transmit thermal data every 10s to conserve bandwidth""]","Coordinating grid row alternation ensures spatial deconfliction and efficient coverage within the 600-second budget. It maintains 25m separation while optimizing task allocation between agents. Other choices violate geofencing, waste time, or ignore inter-agent coordination needs." 2025-11-01T18:06:01Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_platform_survey_fixed_wing_03fd180a1e9b_mcq.json,uavbench-mcq-v1,offshore_platform_survey_fixed_wing,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"At 120s, wind is 14 m/s at 200m; UAV must grid survey below 150m, avoid NFZ, and sustain comms through outages at 100s and 450s.","Fixed-wing UAV conducts offshore platform survey in poor visibility with rain and strong winds. Mission takes place in controlled offshore airspace with a defined geofence and minimum altitude of 50 meters. Wind increases with altitude, reaching 14 m/s from the west at 200 meters. UAV is equipped with radar, RGB camera, and standard navigation sensors but no thermal or lidar. A no-fly zone surrounds a central platform cylinder up to 150 meters altitude. The UAV must follow a grid waypoint pattern while avoiding the NFZ and maintaining runway access. A second UAV and a moving spherical obstacle create dynamic collision risks. Communication experiences brief uplink/downlink outages at 100 and 450 seconds. GNSS signals are generally reliable but subject to potential multipath near structures.",Climb to 200m for faster downwind return to base,Descend to 60m and slow speed to reduce power use,Maintain 120m altitude and standard grid speed,Activate radar continuously for obstacle detection,Skip grid legs near NFZ to save battery,Increase camera frame rate during rain for clarity,Halt mission and loiter at 100m until winds drop,"[""Climb to 200m for faster downwind return to base"", ""Descend to 60m and slow speed to reduce power use"", ""Maintain 120m altitude and standard grid speed"", ""Activate radar continuously for obstacle detection"", ""Skip grid legs near NFZ to save battery"", ""Increase camera frame rate during rain for clarity"", ""Halt mission and loiter at 100m until winds drop""]","Flying at 60m reduces wind exposure and power demand, conserving battery for comms outages and dynamic obstacles. Lower altitude stays above minimum 50m and avoids high-wind 200m layer, balancing safety and endurance. Other options increase energy use or risk mission failure under resource constraints." 2025-11-01T18:06:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/powerline_corridor_recon_HAPS_95770efb2bab_mcq.json,uavbench-mcq-v1,powerline_corridor_recon_HAPS,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,"UAV faces icing and GNSS jamming at 800m AGL, 4 min into 10-min mission; strong westerly winds at 8.5 m/s persist. What immediate action maintains safety and law?","High-altitude pseudo-satellite UAV conducts powerline corridor inspection in controlled airspace. Mission occurs over a 5km x 5km rectangular zone with a static no-fly cylinder near the center and a moving no-fly zone drifting southwest. UAV operates between 100m and 1000m AGL, navigating a predefined corridor waypoint path with runway-assisted takeoff and landing. Equipped with radar, RGB, and thermal cameras, the UAV monitors infrastructure while avoiding obstacles and restricted zones. Weather includes strong westerly winds up to 8.5 m/s at altitude, gusts, and icing conditions aloft. A significant icing event occurs mid-mission, reducing aerodynamic efficiency for one minute. Electromagnetic interference and moderate GNSS jamming are present, but no multipath issues. Dynamic traffic includes a crossing UAV and a moving spherical obstacle co-located with a temporary no-fly zone. The UAV must maintain separation, adhere to comms windows, and complete the mission within 10 minutes while managing battery reserves.",Descend to 100m AGL to reduce wind exposure and icing risk,Continue mission using visual navigation to honor inspection deadline,Climb to 1000m AGL for clearer GNSS signal and stable air,Enter static no-fly cylinder to avoid drifting obstacle and traffic,Abort mission and proceed to nearest safe landing zone,Transmit emergency signal and hover at current position,Rely on radar to penetrate jamming and maintain course,"[""Descend to 100m AGL to reduce wind exposure and icing risk"", ""Continue mission using visual navigation to honor inspection deadline"", ""Climb to 1000m AGL for clearer GNSS signal and stable air"", ""Enter static no-fly cylinder to avoid drifting obstacle and traffic"", ""Abort mission and proceed to nearest safe landing zone"", ""Transmit emergency signal and hover at current position"", ""Rely on radar to penetrate jamming and maintain course""]","Icing reduces aerodynamic efficiency and GNSS jamming compromises navigation, creating a critical flight risk. Continuing or altering path within controlled airspace without reliable systems endangers infrastructure and violates flight safety protocols. Aborting ensures human safety, regulatory compliance, and prevents uncontrolled failure near restricted zones." 2025-11-01T18:06:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_search_rescue_octocopter_hail_edbd0436fe69_mcq.json,uavbench-mcq-v1,offshore_search_rescue_octocopter_hail,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"With 10-minute endurance, 120m max altitude, and icing degrading performance, which action optimizes search completion and safe return?","This is a search and rescue mission conducted offshore near a platform using an octocopter UAV. The aircraft is equipped with radar, RGB and thermal cameras, and relies on battery power for a limited flight duration. Operations take place in poor visibility with active hail and strong winds from the west-southwest, including gusts. The UAV must navigate within a defined airspace corridor between 10 and 120 meters AGL, avoiding a cylindrical no-fly zone around a central structure. A secondary moving obstacle drifts slowly through the search area, requiring real-time avoidance. The mission includes a pre-defined corridor search pattern with five waypoints and a strict 10-minute time budget. A single intruder UAV flies through the airspace on a diagonal path, introducing separation challenges. GNSS signals may experience multipath effects due to the offshore platform structure, and an icing event occurs mid-mission, degrading performance. The UAV must maintain safe separation of at least 25 meters from traffic and obstacles, with return to a designated landing site before battery reserves are exhausted.",Increase speed to cover waypoints faster,Climb to 120m for better camera coverage,Disable thermal to save power,Shorten pattern by skipping waypoint 3,Hover at waypoint 2 for intruder avoidance,Reduce rotor RPM to save battery,Switch to radar-only mode and slow descent,"[""Increase speed to cover waypoints faster"", ""Climb to 120m for better camera coverage"", ""Disable thermal to save power"", ""Shorten pattern by skipping waypoint 3"", ""Hover at waypoint 2 for intruder avoidance"", ""Reduce rotor RPM to save battery"", ""Switch to radar-only mode and slow descent""]","Switching to radar-only reduces power draw while maintaining detection in poor visibility. Slowing descent conserves energy and ensures obstacle avoidance. This balances sensor use and battery limits, enabling safe return within the 10-minute window despite icing degradation." 2025-11-01T18:06:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_tower_spiral_inspection_convertiplane_d0bd6c8f7788_mcq.json,uavbench-mcq-v1,offshore_tower_spiral_inspection_convertiplane,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,How should the UAV adjust its spiral ascent under 13.5 m/s winds at 100 m and 1.2 kg payload to conserve battery?,"A convertiplane UAV conducts an offshore tower inspection using a spiral flight pattern. The mission takes place near an offshore platform within a defined airspace polygon from 5 to 120 meters AGL. Strong winds increase with altitude, reaching 13.5 m/s at 100 meters, with a wind shift from 240° to 260°. The UAV is equipped with RGB and thermal cameras for visual inspection and carries a 1.2 kg payload. GNSS signals suffer from multipath and moderate jamming at -75 dBm, with brief comms loss periods. A static no-fly zone surrounds the tower base, and a dynamic obstacle moves nearby. Another UAV enters the airspace during the mission, requiring separation management. Thermal updrafts and lightning risk events challenge flight stability and safety. The UAV must maintain runway access for landing and adhere to strict battery reserves. Flight performance is monitored for NFZ breaches, separation, battery use, and mission success.",Increase climb rate to minimize wind exposure time,Descend immediately to avoid thermal updrafts and lightning,Reduce camera resolution to lower power and extend endurance,Fly clockwise spiral only to align with wind shift at 100 m,Hover at 50 m to wait for wind speed reduction,Jettison thermal camera to cut payload and save energy,Maintain planned ascent with full sensor suite active,"[""Increase climb rate to minimize wind exposure time"", ""Descend immediately to avoid thermal updrafts and lightning"", ""Reduce camera resolution to lower power and extend endurance"", ""Fly clockwise spiral only to align with wind shift at 100 m"", ""Hover at 50 m to wait for wind speed reduction"", ""Jettison thermal camera to cut payload and save energy"", ""Maintain planned ascent with full sensor suite active""]","Reducing camera resolution cuts power draw without compromising inspection feasibility, preserving battery for return and obstacle avoidance. Full sensor operation or jettisoning payload wastes energy or reduces mission utility. Adaptive power management balances mission success and strict reserve requirements." 2025-11-01T18:06:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/quadrotor_thermal_soaring_suburban_gusts_e28d4989696d_mcq.json,uavbench-mcq-v1,quadrotor_thermal_soaring_suburban_gusts,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"Given GNSS multipath and a moving no-fly zone, which strategy ensures resilient navigation and collision avoidance within 600 s?","This is a survey mission conducted by a quadrotor UAV in suburban airspace. The UAV is equipped with an RGB and thermal camera payload for data collection. It operates under moderate wind conditions of 6.5 m/s from 240 degrees, with gusts up to 4.2 m/s. The flight envelope is restricted between 10 m and 120 m AGL within a defined polygonal geofence. A static no-fly zone (cylinder, 30 m radius) and a moving no-fly zone (drifting at -1.2, -0.8 m/s) must be avoided. Another UAV and a moving spherical obstacle pose additional collision risks. The UAV must maintain a minimum separation of 25 m and a time-to-closest-approach threshold of 10 s for collision avoidance. GNSS multipath effects are present, potentially degrading positioning accuracy near structures. Thermal updrafts at two locations may be exploited for energy-efficient soaring. The mission must be completed within 600 seconds, starting from a designated spawn point and returning safely to a preferred landing site.",Rely solely on GNSS with no sensor fusion,Use encrypted telemetry with inertial fallback during signal loss,Disable collision avoidance to reduce computational load,Transmit unencrypted camera data to ground station,Follow planned path ignoring thermal updraft energy benefits,Accept all autopilot commands without authentication,Use open Wi-Fi for real-time video streaming,"[""Rely solely on GNSS with no sensor fusion"", ""Use encrypted telemetry with inertial fallback during signal loss"", ""Disable collision avoidance to reduce computational load"", ""Transmit unencrypted camera data to ground station"", ""Follow planned path ignoring thermal updraft energy benefits"", ""Accept all autopilot commands without authentication"", ""Use open Wi-Fi for real-time video streaming""]","Encrypted telemetry ensures data integrity and confidentiality under cyber threats. Inertial fallback compensates for GNSS multipath, maintaining control stability. This layered approach sustains mission continuity and avoids physical hazards despite adversarial or environmental degradation." 2025-11-01T18:06:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_vtol_survey_hail_88d97f9ee879_mcq.json,uavbench-mcq-v1,offshore_vtol_survey_hail,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Given 15 m/s winds, icing, and GNSS interference, how should the UAV prioritize energy use during survey with radar and RGB active?","This is a VTOL fixed-wing survey mission offshore near an oil platform. The UAV operates in controlled offshore airspace with a maximum altitude of 120 meters AGL and a minimum of 10 meters. Weather conditions include strong winds up to 15 m/s at altitude, poor visibility, and active hail, increasing flight risk. The UAV is a tiltrotor VTOL with radar and RGB camera payload, designed for efficient forward flight and vertical takeoff/landing. A static no-fly zone surrounds a central platform area, and a dynamic no-fly zone moves through the airspace, requiring real-time avoidance. The mission requires use of a designated runway for landing, with a preferred site near the start location. Icing conditions occur mid-mission, degrading performance, and electromagnetic interference affects GNSS signal quality. Wind shear is significant, increasing with altitude and shifting direction, affecting stability and energy consumption. There is a single intruder UAV approaching from the east, requiring separation monitoring to avoid conflicts. Communication dropouts occur twice during the mission, limiting command and telemetry transmission.",Increase altitude to 120 m for better radar coverage,"Disable RGB, use radar only to save power",Descend to 10 m AGL to reduce wind resistance,Circle platform to wait for GNSS signal recovery,"Abort survey, return to base immediately","Maintain course, increase throttle to counter wind shear","Reduce radar duty cycle, fly direct, prioritize comms","[""Increase altitude to 120 m for better radar coverage"", ""Disable RGB, use radar only to save power"", ""Descend to 10 m AGL to reduce wind resistance"", ""Circle platform to wait for GNSS signal recovery"", ""Abort survey, return to base immediately"", ""Maintain course, increase throttle to counter wind shear"", ""Reduce radar duty cycle, fly direct, prioritize comms""]","Reducing radar duty cycle cuts power use while maintaining essential sensing. Flying direct minimizes time in high-wind zones, preserving energy. This balances mission completion, communication resilience, and endurance under icing and interference." 2025-11-01T18:06:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_wind_turbine_inspection_7457d6fae973_mcq.json,uavbench-mcq-v1,offshore_wind_turbine_inspection,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 110m AGL, 8–14 m/s winds, and degraded GNSS, which action balances inspection, safety, and energy with moving obstacle and jamming?","This scenario involves an offshore wind turbine inspection mission using a convertiplane UAV. The flight occurs in offshore platform airspace with a defined geofence and altitude limits between 10 and 120 meters AGL. Weather conditions include moderate winds averaging 8 m/s, increasing with altitude up to 14 m/s, and poor visibility due to dust. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors for inspection and environmental awareness. A no-fly zone cylinder restricts access near a critical structure at coordinates (150, 200) from 10 to 80 meters altitude. GNSS signals are degraded with jamming at -75 dBm and electromagnetic interference present, increasing navigation risk. The UAV must follow a corridor inspection pattern with five waypoints and return to land on a designated runway. A moving spherical obstacle drifts westward through the airspace, requiring dynamic avoidance. Communication links experience two brief downlink loss windows, impacting data transmission reliability. Battery endurance and separation from traffic are critical constraints, with a required 25-meter separation threshold.",Descend to 15m AGL to reduce wind exposure and save power,Climb to 120m AGL for clearer GNSS and overflight clearance,Maintain 110m and standard speed to ensure schedule adherence,Reduce speed to 3 m/s for better sensor stability and obstacle tracking,Fly directly through no-fly zone at 90m to cut inspection time,Land immediately due to GNSS jamming and poor visibility,"Deviate west early, descend to 25m, and slow to 6 m/s for obstacle and energy","[""Descend to 15m AGL to reduce wind exposure and save power"", ""Climb to 120m AGL for clearer GNSS and overflight clearance"", ""Maintain 110m and standard speed to ensure schedule adherence"", ""Reduce speed to 3 m/s for better sensor stability and obstacle tracking"", ""Fly directly through no-fly zone at 90m to cut inspection time"", ""Land immediately due to GNSS jamming and poor visibility"", ""Deviate west early, descend to 25m, and slow to 6 m/s for obstacle and energy""]","Option G balances aerodynamic stability at 25m (below stronger winds), ensures 25m separation from the drifting obstacle, and conserves energy via reduced speed. It avoids the no-fly zone and compensates for GNSS degradation with LiDAR and cautious maneuvering, maintaining mission feasibility and safety under communication and navigation constraints." 2025-11-01T18:06:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_wind_turbine_inspection_dc0cb736624c_mcq.json,uavbench-mcq-v1,offshore_wind_turbine_inspection,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 110 m AGL with 13.5 m/s winds and GNSS jamming, which action maintains inspection accuracy, safety, and energy reserve above 30%?","This is an offshore wind turbine inspection mission using an amphibious UAV equipped with RGB and thermal cameras, LIDAR, and standard navigation sensors. The operation takes place near an offshore platform within a defined polygonal airspace bounded from 5 to 120 meters AGL. The UAV must avoid a cylindrical no-fly zone around the central platform and comply with required runway procedures for takeoff and landing. Weather includes strong winds up to 13.5 m/s at 100 m altitude, shifting direction with height, and moderate gusts, along with thermal updrafts that can affect flight stability. GNSS signals are degraded due to multipath effects and electromagnetic interference, with a simulated jamming event occurring mid-mission. The UAV follows a corridor inspection pattern across five waypoints, transitioning between VTOL and forward-flight modes. A single traffic UAV and a moving spherical obstacle add complexity to the environment. Communication experiences brief downlink losses, and strict separation thresholds are enforced for detect-and-avoid compliance. Battery endurance is critical, with a 30% reserve required and energy consumption influenced by wind and manoeuvring. The mission must be completed within 600 seconds while maintaining safety and sensor data integrity.",Descend to 60 m AGL to reduce wind exposure and conserve battery,Hold altitude and increase speed to exit jamming zone quickly,Climb to 120 m AGL for clearer GNSS and better line-of-sight,Transition to VTOL mode for improved camera stabilization,Abort mission and return to runway due to sensor degradation,Follow thermal updrafts to gain altitude without power use,"Reduce speed, descend to 70 m, and use LIDAR for navigation","[""Descend to 60 m AGL to reduce wind exposure and conserve battery"", ""Hold altitude and increase speed to exit jamming zone quickly"", ""Climb to 120 m AGL for clearer GNSS and better line-of-sight"", ""Transition to VTOL mode for improved camera stabilization"", ""Abort mission and return to runway due to sensor degradation"", ""Follow thermal updrafts to gain altitude without power use"", ""Reduce speed, descend to 70 m, and use LIDAR for navigation""]","Descending to 70 m reduces wind load and energy use while staying above minimum safe altitude. Using LIDAR compensates for GNSS jamming and maintains navigation accuracy. Reduced speed improves sensor stability and detect-and-avoid compliance with traffic and obstacles, balancing energy, safety, and data integrity." 2025-11-01T18:06:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/runway_incursion_daa_glider_scenario_a48f8a3f2dc2_mcq.json,uavbench-mcq-v1,runway_incursion_daa_glider_scenario,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which UAV configuration best ensures geofence compliance, 25m DAA separation, and 30% battery reserve in 8.5 m/s winds?","This scenario involves a glider-type UAV conducting an inspection mission near an airport perimeter. The flight occurs in controlled airspace with a defined geofence and includes a no-fly zone centered at (100, 150) with a 20-meter radius. A runway is present at heading 270 degrees, but landing is not required. The UAV is equipped with visual cameras and standard navigation sensors, relying on battery power with a 30% reserve requirement. Weather conditions include a 8.5 m/s wind from 240 degrees with moderate gusts, though visibility is good. The mission follows a corridor pattern among four waypoints within a 600-second time limit. A second UAV enters the airspace from the east, traveling westbound at 20 m/s, requiring detect-and-avoid (DAA) compliance with a 25-meter separation threshold. A moving obstacle also drifts westward through the area, adding collision risk. Notable constraints include GNSS reliance in a potential multipath environment near airport structures and strict adherence to altitude and geofence boundaries.",Fixed-wing with GNSS-only navigation and no DAA radar,Glider with camera-based DAA and minimal wind compensation,"Quadcopter with LIDAR, high power use, 25 min endurance","Glider with GPS/INS, predictive wind modeling, and TCAS-like DAA","VTOL with dual cameras, no radar, moderate gust rejection","Fixed-wing with ADS-B only, no visual obstacle detection","Glider with reactive DAA, no wind estimation, 40% battery margin","[""Fixed-wing with GNSS-only navigation and no DAA radar"", ""Glider with camera-based DAA and minimal wind compensation"", ""Quadcopter with LIDAR, high power use, 25 min endurance"", ""Glider with GPS/INS, predictive wind modeling, and TCAS-like DAA"", ""VTOL with dual cameras, no radar, moderate gust rejection"", ""Fixed-wing with ADS-B only, no visual obstacle detection"", ""Glider with reactive DAA, no wind estimation, 40% battery margin""]","System D integrates GPS/INS for GNSS multipath resilience, predictive wind modeling for stable corridor tracking, and TCAS-like DAA for reliable 25m separation. It balances energy efficiency and safety, preserving 30% battery while adapting to gusts and traffic. Other systems fail in detection coverage, wind response, or power endurance under mission constraints." 2025-11-01T18:06:02Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/pipeline_inspection_harbor_glider_hail_df323e3e7f23_mcq.json,uavbench-mcq-v1,pipeline_inspection_harbor_glider_hail,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"With GNSS degraded, 13.5 m/s winds, and icing reducing performance for 1 minute, how should navigation be maintained during the 10-minute pipeline inspection?","The mission is a pipeline inspection using a fixed-wing glider UAV equipped with RGB and thermal cameras. It operates in a harbor airspace with a defined geofence and both static and dynamic no-fly zones. Weather conditions include strong winds up to 13.5 m/s, poor visibility, hail, and icing risks that vary with altitude. The glider relies on battery power and aerodynamic efficiency, with a payload optimized for imaging. GNSS signals are degraded due to multipath effects and interference, complicating navigation. A moving obstacle and another UAV traffic pose collision risks, requiring strict separation monitoring. The flight must avoid a central cylindrical NFZ and a drifting dynamic exclusion zone near the inspection route. An icing fault event occurs mid-mission, reducing performance for one minute. Communication experiences brief downlink losses, and the UAV must complete its corridor-style waypoint mission within 10 minutes while managing energy and environmental hazards.",Trust GNSS despite multipath; reset altitude via barometer hourly,Rely solely on IMU dead reckoning for entire mission,Fuse visual odometry with inertial data; limit GNSS reliance,Switch to thermal-only SLAM when visibility drops below 200 m,Use wind-aligned glide patterns without sensor fusion updates,Restart navigation stack after icing event clears,Depend on magnetic heading during downlink loss periods,"[""Trust GNSS despite multipath; reset altitude via barometer hourly"", ""Rely solely on IMU dead reckoning for entire mission"", ""Fuse visual odometry with inertial data; limit GNSS reliance"", ""Switch to thermal-only SLAM when visibility drops below 200 m"", ""Use wind-aligned glide patterns without sensor fusion updates"", ""Restart navigation stack after icing event clears"", ""Depend on magnetic heading during downlink loss periods""]","Visual-inertial fusion compensates for GNSS multipath and brief signal loss, maintaining position accuracy. It adapts to environmental degradation while leveraging aerodynamic stability in strong winds. This approach preserves energy and avoids drift accumulation better than standalone sensors." 2025-11-01T18:06:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/powerline_corridor_recon_HAPS_a7c81c13ff4e_mcq.json,uavbench-mcq-v1,powerline_corridor_recon_HAPS,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 6200 m, GNSS jamming begins with 8.5 m/s winds and 18 m/s gusts. What immediate action ensures cyber-physical resilience?","This is a high-altitude powerline corridor inspection mission using a high-altitude pseudo-satellite (HAPS) UAV. The flight occurs within a defined rectangular airspace corridor between 500 m and 7500 m AGL, with a static no-fly zone and a moving restricted zone. The UAV is equipped with radar, RGB and thermal cameras, and relies on GNSS, IMU, and other onboard sensors for navigation. Weather includes moderate winds at 8.5 m/s from 240°, gusts up to 4 m/s, and hazardous conditions like hail and lightning risk. Wind speed increases with altitude, reaching 18 m/s at 6000 m, and thermal updrafts are present at two locations. The UAV must avoid a dynamic no-fly zone moving at 5 m/s and maintain separation from another UAV and a moving spherical obstacle. GNSS jamming and icing faults are simulated, with communication dropouts occurring at specific times. The mission requires runway-assisted takeoff and landing, with a strict 900-second time budget. Constraints include battery endurance, sensor degradation from icing, and maintaining safe separation from obstacles and airspace boundaries.",Switch to encrypted IMU-only navigation with radar altimeter cross-check,Continue using GNSS until signal degrades below usable threshold,Transmit unencrypted telemetry to ground for manual override,Disable intrusion detection to reduce processor load during jamming,Rely solely on thermal camera for position estimation,Increase control loop frequency to 200 Hz using unverified sensor data,Descend immediately without verifying obstacle clearance,"[""Switch to encrypted IMU-only navigation with radar altimeter cross-check"", ""Continue using GNSS until signal degrades below usable threshold"", ""Transmit unencrypted telemetry to ground for manual override"", ""Disable intrusion detection to reduce processor load during jamming"", ""Rely solely on thermal camera for position estimation"", ""Increase control loop frequency to 200 Hz using unverified sensor data"", ""Descend immediately without verifying obstacle clearance""]",Switching to encrypted IMU-only navigation preserves control integrity and availability during GNSS jamming. Radar altimeter cross-check mitigates sensor spoofing and ensures altitude fidelity. This maintains separation from obstacles and airspace boundaries under adversarial conditions. 2025-11-01T18:06:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/runway_incursion_daa_scenario_b71c6bedd3f4_mcq.json,uavbench-mcq-v1,runway_incursion_daa_scenario,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 125s, UAV is at (400, 350) at 400m AGL. Traffic UAV at (580, 700) moving west at 20m/s. Jamming active. What is optimal?","This is an inspection mission at an industrial plant using a high-altitude pseudo-satellite UAV equipped with radar and RGB camera. The UAV operates between 100 and 600 meters AGL within a defined polygonal airspace. Strong crosswinds up to 15 m/s and wind shear with altitude are present, along with thermal plumes near the plant. The UAV has a battery-powered fixed-wing configuration with VTOL capability and carries a 5 kg payload. Key constraints include a static no-fly zone centered at (500, 400) and a moving no-fly zone drifting west at 2 m/s. The mission requires landing on a runway oriented east-west at (100, 750), with a transition from forward flight to vertical landing. A traffic UAV approaches from the east at 20 m/s on a westbound heading. GNSS multipath and electromagnetic interference degrade navigation, with a planned GNSS jamming fault occurring between 120 and 165 seconds. The UAV must maintain 50-meter separation from traffic and avoid collisions with a moving spherical obstacle near (600, 300).",Descend to 300m and proceed to inspection point,Climb to 500m and hold until jamming ends,"Turn north, climb to 450m, delay inspection","Proceed to (600,300) at 400m AGL now",Divert immediately to runway via north route,Accelerate west to beat traffic to runway,"Land now at alternate pad near (300,600)","[""Descend to 300m and proceed to inspection point"", ""Climb to 500m and hold until jamming ends"", ""Turn north, climb to 450m, delay inspection"", ""Proceed to (600,300) at 400m AGL now"", ""Divert immediately to runway via north route"", ""Accelerate west to beat traffic to runway"", ""Land now at alternate pad near (300,600)""]","C avoids GNSS jamming and traffic by increasing lateral and vertical separation while delaying non-critical inspection. It avoids the moving obstacle, respects the static NFZ, and preserves energy for precision landing. Other options risk collision, violate separation, or operate in degraded navigation during jamming." 2025-11-01T18:06:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/runway_incursion_daa_fixed_wing_volcanic_hail_287d95d26423_mcq.json,uavbench-mcq-v1,runway_incursion_daa_fixed_wing_volcanic_hail,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,F,False,"During GNSS jamming near waypoint 3, 240° winds at 300 m AGL reduce airspeed by 18%. What action maintains control and geofence compliance?","Fixed-wing UAV conducts an inspection mission in a volcanic zone with restricted airspace. The flight occurs below 300 meters AGL within a polygonal geofence containing a cylindrical no-fly zone near a runway. Weather includes strong winds from 240 degrees, gusts, poor visibility, and hazardous hail conditions. The UAV is equipped with radar, RGB camera, and standard navigation sensors but lacks lidar and thermal imaging. A second UAV and a moving spherical obstacle traverse the airspace, requiring dynamic separation. The mission requires use of a runway for landing and follows a corridor pattern with five waypoints. GNSS jamming occurs mid-mission, and an icing event reduces performance for one minute. A communication downlink loss window introduces potential data latency near the mission's end. Detection and avoidance thresholds enforce 50-meter separation and 30-second time-to-contact limits. Key constraints include NFZ avoidance, runway incursion risk, GNSS vulnerability, and aerodynamic challenges in hail and wind.",Increase pitch by 6° to regain lift,Reduce throttle to minimize drag,Bank 45° toward the no-fly zone,"Descend into denser, more turbulent air",Maintain heading with reduced AoA,Turn 30° into the wind vector,Hold level flight at constant lift coefficient,"[""Increase pitch by 6° to regain lift"", ""Reduce throttle to minimize drag"", ""Bank 45° toward the no-fly zone"", ""Descend into denser, more turbulent air"", ""Maintain heading with reduced AoA"", ""Turn 30° into the wind vector"", ""Hold level flight at constant lift coefficient""]","Turning into the 240° wind vector increases relative airflow, restoring airspeed and control authority during GNSS loss. This improves lift generation and directional stability while reducing drift toward the cylindrical NFZ. Other options either degrade lift, increase stall risk, or compromise separation and geofence boundaries." 2025-11-01T18:06:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/runway_incursion_daa_swarm_harbor_crosswind_5dca782dd8b2_mcq.json,uavbench-mcq-v1,runway_incursion_daa_swarm_harbor_crosswind,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During a 15-second GNSS dropout with 30-knot crosswinds, which sensor fusion strategy maintains swarm integrity below 40 m AGL?","Multi-drone survey mission in a harbor airspace with strong crosswinds from the west. Five UAVs operate as a swarm with leader, followers, relay, and scout roles. Each drone is equipped with GNSS, IMU, lidar, RGB camera, and a 0.3 kg payload. Mission involves a grid survey pattern between 30–40 m AGL within a 2 km² rectangular zone. A static no-fly zone and a moving obstacle restrict flight paths near key areas. A dynamic no-fly zone drifts slowly, requiring real-time avoidance and separation. Wind increases with altitude, shifting direction and creating turbulence above 50 m. GNSS multipath and intermittent jamming degrade positioning accuracy periodically. DAA system enforces 25 m separation and 5-second time-to-collision thresholds. Communication dropouts occur twice, each lasting 15 seconds, impacting control reliability.",Rely solely on GNSS until signal returns,Switch to IMU-only dead reckoning for all drones,Fuse lidar with visual odometry and IMU drift correction,Descend immediately to 10 m AGL using barometer only,Halt all motion and hover using last GNSS fix,Use RGB flow for positioning ignoring wind turbulence,Increase altitude to improve GNSS signal strength,"[""Rely solely on GNSS until signal returns"", ""Switch to IMU-only dead reckoning for all drones"", ""Fuse lidar with visual odometry and IMU drift correction"", ""Descend immediately to 10 m AGL using barometer only"", ""Halt all motion and hover using last GNSS fix"", ""Use RGB flow for positioning ignoring wind turbulence"", ""Increase altitude to improve GNSS signal strength""]",Lidar and visual odometry compensate for GNSS dropout and IMU drift under strong winds. Fusing these with IMU corrects for inertial bias while maintaining terrain-relative positioning. This preserves swarm separation and survey accuracy within the dynamic environment. 2025-11-01T18:06:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/runway_incursion_daa_swarm_bridge_rain_22bd1617ac03_mcq.json,uavbench-mcq-v1,runway_incursion_daa_swarm_bridge_rain,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,D,False,"During icing, a drone must avoid a moving obstacle while staying below 120 m AGL, with 5 m separation and 10 m DAA.","This is a UAV swarm inspection mission conducted near a bridge site with poor visibility due to rain and icing conditions. The airspace includes a static no-fly zone over the bridge center and a moving restricted zone that shifts during the mission. Four battery-powered octocopter drones, equipped with GNSS, IMU, lidar, and RGB cameras, operate as a coordinated swarm with leader, follower, and scout roles. They must maintain a minimum 5-meter separation from each other while navigating a predefined corridor pattern below 120 meters AGL. Strong and gusting winds from the southwest increase flight difficulty, especially at higher altitudes where wind speed and direction vary significantly. GNSS signals are degraded by multipath effects and electromagnetic interference, with mild jamming present, challenging navigation accuracy. The mission involves avoiding a moving obstacle and an intruding UAV crossing the area, while adhering to DAA (Detect-and-Avoid) thresholds of 10 meters separation and 5 seconds time-to-closest-approach. An icing event occurs mid-mission, reducing performance for one drone over a 60-second period. Communication experiences brief downlink losses, and the drones must complete their circuit within a 10-minute time budget before returning to the designated landing zone.",Descend to 80 m AGL and maintain formation speed,Climb to 110 m AGL for clearer GNSS signals,Accelerate to exit corridor before obstacle arrival,"Divert right, descending to 90 m AGL, then rejoin",Hold position until intruder passes through zone,Reduce separation to 3 m to tighten formation,Proceed straight at 115 m AGL to minimize time,"[""Descend to 80 m AGL and maintain formation speed"", ""Climb to 110 m AGL for clearer GNSS signals"", ""Accelerate to exit corridor before obstacle arrival"", ""Divert right, descending to 90 m AGL, then rejoin"", ""Hold position until intruder passes through zone"", ""Reduce separation to 3 m to tighten formation"", ""Proceed straight at 115 m AGL to minimize time""]","Diverting right and descending to 90 m AGL avoids the moving obstacle while remaining below 120 m AGL, maintaining 5 m separation and DAA compliance. Climbing or accelerating increases wind exposure and navigation risk due to degraded GNSS and gusts. Holding or reducing separation violates time or safety constraints." 2025-11-01T18:06:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/runway_incursion_daa_fixed_wing_urban_8ac17fd8b3e9_mcq.json,uavbench-mcq-v1,runway_incursion_daa_fixed_wing_urban,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 110m AGL with 6.5 m/s winds and a 30-second GNSS jam, which action balances navigation, energy, and separation?","Fixed-wing UAV conducts an urban inspection mission in a canyon-like environment with tall buildings. The flight occurs between 10 and 120 meters AGL within a defined rectangular geofence. Moderate winds of 6.5 m/s increase with altitude and shift direction, accompanied by gusts and thermal updrafts. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors but lacks radar and thermal imaging. A no-fly zone cylinder blocks airspace near the center of the area, requiring careful path planning. The mission involves flying a corridor pattern along three waypoints parallel to an active runway. Runway access is required, with designated preferred and emergency landing zones at opposite ends. Another UAV and a moving spherical obstacle create dynamic traffic, requiring detect-and-avoid compliance. GNSS multipath and electromagnetic interference degrade navigation, with a planned 30-second jamming fault. The UAV must maintain separation of at least 25 meters and avoid collisions while managing battery reserves.",Descend to 10m AGL to reduce wind exposure and conserve battery,Climb to 120m AGL for clearer GNSS and smoother airflow,Maintain 110m AGL and switch to lidar-IMU dead reckoning,Accelerate to cross the no-fly zone faster under GPS jamming,Turn sharply toward the emergency landing zone immediately,Hover in place using IMU and camera to wait out the jam,Follow the moving obstacle's path to exploit its wake,"[""Descend to 10m AGL to reduce wind exposure and conserve battery"", ""Climb to 120m AGL for clearer GNSS and smoother airflow"", ""Maintain 110m AGL and switch to lidar-IMU dead reckoning"", ""Accelerate to cross the no-fly zone faster under GPS jamming"", ""Turn sharply toward the emergency landing zone immediately"", ""Hover in place using IMU and camera to wait out the jam"", ""Follow the moving obstacle's path to exploit its wake""]","Maintaining 110m AGL avoids low-altitude turbulence and GNSS multipath while staying below peak winds. Lidar-IMU integration sustains navigation accuracy during the 30-second jam without excessive energy use. This balances safety, stability, and mission continuity amid wind, interference, and dynamic obstacles." 2025-11-01T18:06:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/runway_incursion_daa_volcanic_rain_HAPS_24d4ca406a82_mcq.json,uavbench-mcq-v1,runway_incursion_daa_volcanic_rain_HAPS,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,Which UAV configuration best ensures mission success at 800m AGL with GNSS jamming from 120-165s and 30% battery reserve?,"This scenario involves a high-altitude pseudo-satellite (HAPS) conducting an inspection mission in a volcanic zone with poor visibility due to rain. The UAV operates between 500 and 1500 meters AGL within a defined polygonal airspace that includes a static no-fly zone and a moving no-fly cylinder. Weather conditions include moderate winds increasing with altitude, gusts, and rain, which affect visibility and flight dynamics. The UAV is equipped with radar and an RGB camera, relying on GNSS, IMU, magnetometer, and barometer for navigation. GNSS multipath and electromagnetic interference are present, with a simulated GNSS jamming fault occurring between 120 and 165 seconds. A dynamic moving obstacle and another UAV traffic agent introduce collision risks, requiring adherence to DAA separation thresholds of 100 meters and 30 seconds TTC. The mission follows a corridor pattern with four waypoints, avoiding the runway area near the threshold, though landing is not required. Battery endurance is critical, with a reserve fraction of 30% and high hover power consumption impacting energy management. The UAV spawns at (1200, 1200, 800) and must complete its mission within 600 seconds under continuous control inputs. Environmental challenges include thermal updrafts near the volcano center, which may influence lift and stability during flight.","Monocular vision-only navigation, no radar, low power use","Dual GNSS receivers with carrier-phase, no IMU fusion","Radar-aided INS with magnetometer fallback, moderate power",Pure GNSS navigation with barometric altitude hold,"Optical flow stabilized, no GNSS, requires clear ground view","High-gain GNSS antenna, no redundancy, low latency","Terrain-referenced navigation using preloaded DEM, no GNSS","[""Monocular vision-only navigation, no radar, low power use"", ""Dual GNSS receivers with carrier-phase, no IMU fusion"", ""Radar-aided INS with magnetometer fallback, moderate power"", ""Pure GNSS navigation with barometric altitude hold"", ""Optical flow stabilized, no GNSS, requires clear ground view"", ""High-gain GNSS antenna, no redundancy, low latency"", ""Terrain-referenced navigation using preloaded DEM, no GNSS""]","Radar-aided INS fuses sensor data to maintain accuracy during GNSS jamming and poor visibility. It tolerates electromagnetic interference and leverages barometer/IMU/magnetometer data. Other options fail in jamming, lack redundancy, or depend on obstructed signals or vision." 2025-11-01T18:06:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/runway_incursion_daa_forest_fog_haps_57f7ea29ed03_mcq.json,uavbench-mcq-v1,runway_incursion_daa_forest_fog_haps,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"At 180s, UAV faces icing at 500m AGL, 8.5 m/s winds from 240°—which action maintains corridor and avoids NFZ?","The mission is an inspection flight conducted by a high-altitude pseudo-satellite UAV in a forested area. The UAV operates within a defined airspace corridor between 100 and 600 meters AGL, bounded by a polygonal geofence. Weather conditions include poor visibility due to fog, icing risks, and moderate winds up to 8.5 m/s from 240 degrees with gusts. The UAV is equipped with radar, RGB camera, and standard navigation sensors but faces GNSS multipath errors and intermittent jamming at -75 dBm. A static no-fly zone and a moving no-fly cylinder create dynamic constraints, while proximity to a runway requires careful approach planning. The UAV must avoid collisions with a moving obstacle and one intruder UAV while maintaining separation using DAA thresholds. The flight profile includes an icing fault at 180 seconds and a GNSS jamming event at 400 seconds, both impacting performance. Communication experiences brief uplink/downlink losses at 200 and 500 seconds. The mission emphasizes endurance, sensor reliability, and safe navigation under degraded conditions with a requirement to land at a designated runway site.","Climb to 600m, turn right 30° to avoid obstacle","Descend to 400m, hold heading for 60s","Turn left 45°, descend to 300m immediately","Maintain 500m, delay descent until 400s",Accelerate to bypass obstacle at current altitude,"Turn 90° right, climb to 600m AGL","Hold 500m, reduce speed, follow geofence edge","[""Climb to 600m, turn right 30° to avoid obstacle"", ""Descend to 400m, hold heading for 60s"", ""Turn left 45°, descend to 300m immediately"", ""Maintain 500m, delay descent until 400s"", ""Accelerate to bypass obstacle at current altitude"", ""Turn 90° right, climb to 600m AGL"", ""Hold 500m, reduce speed, follow geofence edge""]","Holding 500m preserves the altitude corridor while reducing speed mitigates icing and wind effects. Following the geofence edge ensures NFZ separation and accounts for GNSS drift. Other options breach AGL limits, increase exposure, or induce collision risk." 2025-11-01T18:06:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/runway_touch_and_go_industrial_thermal_updrafts_9259bcda08b0_mcq.json,uavbench-mcq-v1,runway_touch_and_go_industrial_thermal_updrafts,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,C,False,How should the UAV respond to 240° winds and brief downlink losses while maintaining 25-meter separation from a crossing UAV?,"Heavy lift UAV conducts an inspection mission in an industrial plant airspace with thermal updrafts and moderate winds from 240 degrees. The UAV is equipped with thermal and RGB cameras, LiDAR, and standard navigation sensors, carrying a 5 kg payload. Two thermal plumes create vertical air currents near key infrastructure, requiring stable flight control. A static no-fly zone protects a central facility, while a moving no-fly cylinder drifts through the area, complicating path planning. The mission follows a corridor pattern between four waypoints, avoiding GNSS-denied zones due to multipath interference and electromagnetic noise. A second UAV enters the airspace on a crossing trajectory, requiring separation monitoring with a 25-meter threshold. Communication experiences brief downlink losses at specific intervals, reducing data reliability. The UAV must maintain altitude between 5 and 120 meters AGL while navigating around a moving spherical obstacle. Despite challenging environmental dynamics and sensor limitations, the mission aims to complete within 600 seconds with safe return to the designated landing site.",Rely solely on GNSS for positioning during downlink outages,Disable LiDAR to reduce power during thermal updrafts,Use encrypted bidirectional telemetry with inertial fallback during comms loss,Increase camera resolution to predict wind shifts,Transmit unencrypted status updates to save processing time,Follow the moving no-fly cylinder as a dynamic waypoint,Abort mission if altitude fluctuates more than 2 meters,"[""Rely solely on GNSS for positioning during downlink outages"", ""Disable LiDAR to reduce power during thermal updrafts"", ""Use encrypted bidirectional telemetry with inertial fallback during comms loss"", ""Increase camera resolution to predict wind shifts"", ""Transmit unencrypted status updates to save processing time"", ""Follow the moving no-fly cylinder as a dynamic waypoint"", ""Abort mission if altitude fluctuates more than 2 meters""]","Encrypted telemetry ensures command integrity and confidentiality during downlink losses, while inertial navigation maintains control stability when GNSS is unreliable. This option preserves cyber-physical resilience by enabling secure, continuous operation despite environmental and communication challenges." 2025-11-01T18:06:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/rural_area_recon_high_altitude_95a18cdd96aa_mcq.json,uavbench-mcq-v1,rural_area_recon_high_altitude,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"Which route optimizes grid coverage at 3,000 m AGL while avoiding a moving NFZ at 3.35 m/s and persistent 18 m/s winds?","High-altitude pseudo-satellite UAV conducts rural area reconnaissance using a mapping mission. Operating between 1,000 and 6,000 meters AGL in a defined rural airspace with good visibility. Mission features a grid pattern across five waypoints at 3,000 meters altitude. UAV equipped with radar, RGB and thermal cameras for wide-area sensing. Persistent gusty winds up to 18 m/s at higher altitudes, increasing with elevation. Two static no-fly zones, one cylindrical and one dynamic moving at 3.35 m/s. Thermal updrafts present at two locations, offering potential lift benefits. GNSS signals unaffected by multipath but face electromagnetic interference and brief comms loss. Traffic includes one intruder UAV and a moving spherical obstacle near flight path. Landing requires runway approach at (2800, 2300) with emergency site available elsewhere.",Fly direct between all five waypoints at constant speed,"Descend to 2,500 m to reduce wind impact during survey",Reroute eastward to avoid dynamic NFZ with 500 m buffer,Skip waypoint 3 to save time and energy,"Climb to 6,000 m for thermal updraft assistance",Delay mission until winds drop below 10 m/s,Use thermal updrafts near waypoint 2 and 4 for lift,"[""Fly direct between all five waypoints at constant speed"", ""Descend to 2,500 m to reduce wind impact during survey"", ""Reroute eastward to avoid dynamic NFZ with 500 m buffer"", ""Skip waypoint 3 to save time and energy"", ""Climb to 6,000 m for thermal updraft assistance"", ""Delay mission until winds drop below 10 m/s"", ""Use thermal updrafts near waypoint 2 and 4 for lift""]","Option C maintains the required 3,000 m AGL operating altitude and preserves full grid coverage by safely bypassing the moving NFZ with adequate margin. Other options either violate altitude constraints, skip critical waypoints, or fail to account for dynamic obstacle motion. Adaptive rerouting minimizes detour while ensuring NFZ compliance and mission continuity despite wind and comms latency." 2025-11-01T18:06:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/runway_touch_and_go_volcanic_snow_heavy_lift_b400a478eb7d_mcq.json,uavbench-mcq-v1,runway_touch_and_go_volcanic_snow_heavy_lift,minimax/minimax-m1,9,Comparative System Reasoning,7,?,E,False,"Which system ensures stability under 8 m/s winds, 5 kg payload, and 30% battery reserve during icing?","Heavy-lift UAV conducts an inspection mission in a volcanic zone with active snowfall and icing conditions. The operation takes place within a defined rectangular airspace with a maximum altitude of 150 meters AGL. Strong winds at 8 m/s from 240 degrees and frequent gusts challenge flight stability. A no-fly cylinder is present near the center, restricting access between 10 and 100 meters altitude. The UAV is equipped with GNSS, LiDAR, RGB and thermal cameras, operating under poor visibility. It carries a 5 kg payload and relies solely on battery power with a 30% reserve requirement. A moving spherical obstacle drifts westward through the inspection corridor. Another UAV enters the airspace from the east, requiring separation maintenance of at least 25 meters. An icing event occurs mid-mission, reducing performance for one minute. Brief communication downlink loss occurs, testing onboard decision-making resilience.",Fixed-pitch rotor; minimal power use but poor thrust control in gusts,Ducted fans; high thrust efficiency but vulnerable to ice accumulation,Coaxial blades; strong lift but excessive energy draw reduces reserve margin,High-inertia rotors; resists wind gusts but slow response to obstacles,Redundant motors with de-icing; maintains control during icing event,Lightweight frame; agile but insufficient payload capacity for sensors,Solar-augmented battery; extends range but ineffective under snowfall,"[""Fixed-pitch rotor; minimal power use but poor thrust control in gusts"", ""Ducted fans; high thrust efficiency but vulnerable to ice accumulation"", ""Coaxial blades; strong lift but excessive energy draw reduces reserve margin"", ""High-inertia rotors; resists wind gusts but slow response to obstacles"", ""Redundant motors with de-icing; maintains control during icing event"", ""Lightweight frame; agile but insufficient payload capacity for sensors"", ""Solar-augmented battery; extends range but ineffective under snowfall""]","Redundant motors provide fault tolerance and sustained lift during icing, preserving the 30% reserve. De-icing maintains aerodynamic efficiency, ensuring stability in 8 m/s winds. Other systems fail in payload, energy, or environmental resilience under combined stressors." 2025-11-01T18:06:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/rural_delivery_vtol_rain_581078a9bdaa_mcq.json,uavbench-mcq-v1,rural_delivery_vtol_rain,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"At 120m AGL, 45% battery, and 5 min elapsed, how should the UAV respond to icing degradation and head-on UAV traffic?","This scenario involves a VTOL tiltrotor UAV conducting a package delivery mission in rural airspace. The UAV operates within a defined corridor between 10 and 150 meters AGL, navigating around static and moving obstacles. Weather conditions include moderate rain, poor visibility, and icing risks, with increasing wind speed and shifting direction at higher altitudes. The UAV is equipped with GNSS, IMU, lidar, and RGB camera for navigation and payload delivery, but faces GNSS multipath and intermittent signal jamming. A no-fly zone is present near the start area, and a dynamic no-fly zone moves through the environment. The mission requires transitioning between hover and forward flight, with a time budget of 10 minutes and mandatory runway use for landing. Traffic includes another UAV approaching head-on, requiring separation assurance. An icing fault occurs mid-mission, degrading performance temporarily. Communication experiences brief dropouts, and thermal updrafts offer potential energy-saving opportunities. The UAV must complete its delivery while managing battery reserves, weather effects, and sensor limitations.",Descend to 20m AGL to avoid wind shear and reduce speed,Climb to 150m AGL for smoother air and GNSS signal recovery,Hold position at 120m AGL until the other UAV passes,Accelerate forward flight to exit conflict zone rapidly,Transition to hover and descend behind nearest obstacle,Follow thermal updraft at 110m AGL to conserve battery,"Adjust heading left, descend to 100m AGL, and reduce speed","[""Descend to 20m AGL to avoid wind shear and reduce speed"", ""Climb to 150m AGL for smoother air and GNSS signal recovery"", ""Hold position at 120m AGL until the other UAV passes"", ""Accelerate forward flight to exit conflict zone rapidly"", ""Transition to hover and descend behind nearest obstacle"", ""Follow thermal updraft at 110m AGL to conserve battery"", ""Adjust heading left, descend to 100m AGL, and reduce speed""]","G balances aerodynamic stability, separation assurance, and energy efficiency by adjusting laterally and vertically within safe corridor bounds. It avoids climbing into stronger winds or holding in degraded performance, while leveraging partial updraft benefit without delaying progress. This maintains navigation accuracy under GNSS stress and stays clear of dynamic no-fly zones and icing layers." 2025-11-01T18:06:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/rural_firefighting_drop_quadrotor_aa8dfcd1f008_mcq.json,uavbench-mcq-v1,rural_firefighting_drop_quadrotor,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,"Which UAV configuration best balances 1 kg payload, 850 Wh battery, and 600 s mission under 6.5 m/s winds?","This is a rural firefighting mission using a quadrotor UAV to perform water or retardant drops over a designated area. The operation takes place in a rural airspace with a defined geofenced zone spanning 500 by 500 meters. Weather conditions include moderate winds at 6.5 m/s from 240 degrees with gusts up to 3.2 m/s and a risk of lightning. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors for situational awareness. It carries a 1 kg payload for fire suppression drops and is powered by an 850 Wh battery. Flight altitude is restricted between 10 m and 120 m AGL, with a no-fly cylinder zone at the center of the area. A moving spherical obstacle drifts through the airspace, adding dynamic collision risk. Another UAV is present in the airspace, requiring separation maintenance of at least 25 meters. The mission follows a corridor pattern with five waypoints and must be completed within 600 seconds. GNSS multipath effects are not modeled, but lightning risk and battery reserve limits impose operational constraints.",Fixed-pitch rotors save weight but reduce thrust control in gusts,Higher KV motors increase speed but drain battery faster,Lightweight frame cuts energy use but risks structural failure,Dual batteries add reserve but exceed payload capacity,Smaller propellers lower drag but reduce lift efficiency,Advanced ESCs improve response but add heat in lightning risk,Optimized propellers and ESCs maximize thrust per watt sustainably,"[""Fixed-pitch rotors save weight but reduce thrust control in gusts"", ""Higher KV motors increase speed but drain battery faster"", ""Lightweight frame cuts energy use but risks structural failure"", ""Dual batteries add reserve but exceed payload capacity"", ""Smaller propellers lower drag but reduce lift efficiency"", ""Advanced ESCs improve response but add heat in lightning risk"", ""Optimized propellers and ESCs maximize thrust per watt sustainably""]","Option G ensures energy-efficient thrust generation under sustained 6.5 m/s winds and gusts, preserving battery for the full 600 s mission. It maintains safety margins against lightning and dynamic obstacles without overloading the 850 Wh capacity. Other options sacrifice either control, endurance, or structural integrity under these combined constraints." 2025-11-01T18:06:03Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/runway_incursion_daa_solar_wing_sandstorm_6b8c1404e9c0_mcq.json,uavbench-mcq-v1,runway_incursion_daa_solar_wing_sandstorm,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"With GNSS jamming at -85 dBm, 8.5 m/s surface winds, and sandstorm visibility under 1 km, which navigation strategy maintains integrity during approach?","This UAV mission involves an inspection flight near a bridge site with a runway and restricted zones. The solar-powered fixed-wing UAV has a battery capacity of 1500 Wh and carries an RGB camera payload for visual data collection. Operations occur in poor visibility due to an active sandstorm, with surface winds at 8.5 m/s and increasing with altitude up to 15 m/s. The aircraft must avoid two no-fly zones, one static and one moving, while staying within the defined geofenced airspace from 10 to 300 meters AGL. A critical requirement is the use of the runway for landing, with a preferred site near the threshold. The UAV is equipped with GNSS, radar, and other standard sensors but faces GNSS multipath effects and moderate jamming at -85 dBm. During the mission, it will encounter communication downlink outages and two faults: a GNSS jamming event and a partial motor failure. Air traffic includes another UAV approaching from the east, requiring DAA compliance with a 25-meter separation minimum. Wind shear and sensor degradation demand robust navigation and control, especially during transitions. The mission must be completed within 600 seconds while maintaining safe flight and avoiding collisions.",Rely solely on GNSS with Kalman filtering,Switch to full visual navigation using RGB only,Use radar-altimeter and IMU for vertical hold,"Fuse IMU, radar, and visual odometry in EKF",Descend immediately to bypass jamming zone,Hover until GNSS signal stabilizes,Follow magnetic heading using compass data,"[""Rely solely on GNSS with Kalman filtering"", ""Switch to full visual navigation using RGB only"", ""Use radar-altimeter and IMU for vertical hold"", ""Fuse IMU, radar, and visual odometry in EKF"", ""Descend immediately to bypass jamming zone"", ""Hover until GNSS signal stabilizes"", ""Follow magnetic heading using compass data""]","GNSS jamming and sandstorm degrade positioning and visual clarity, requiring sensor fusion to maintain accuracy. IMU provides short-term dynamics, radar aids terrain awareness, and visual odometry compensates drift when aligned. D integrates redundancy and adapts to environmental degradation, ensuring safe approach under wind shear and limited visibility." 2025-11-01T18:06:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/runway_incursion_daa_hexacopter_rural_lightning_1633c93be5d1_mcq.json,uavbench-mcq-v1,runway_incursion_daa_hexacopter_rural_lightning,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"Which path avoids the NFZ (10–60 m), spherical obstacle, and maintains 25 m separation from UAV2 during GNSS jamming at 180–210 s?","This is an inspection mission using a battery-powered hexacopter in rural airspace. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors for navigation and data collection. The flight occurs under good visibility but with moderate wind from 240° at 6.5 m/s and gusts up to 4.2 m/s, along with a risk of lightning. The operational altitude ranges from 10 to 120 meters AGL within a defined polygonal geofence. A cylindrical no-fly zone near the center restricts access between 10 and 60 meters altitude. The mission follows a corridor pattern across four waypoints, requiring precise navigation while avoiding a moving spherical obstacle near the midpoint. A second UAV enters the airspace on a straight path, demanding detect-and-avoid compliance with a 25-meter separation threshold and 10-second time-to-closest-approach buffer. GNSS jamming is expected between 180 and 210 seconds into the flight, coinciding with a temporary comms loss, challenging reliable positioning and control. The UAV must complete its route within 600 seconds while maintaining safe separation, avoiding obstacles and NFZs, and managing battery reserves for return or emergency landing.","Climb to 65 m, direct to W2, descend after jamming zone","Descend to 8 m, fly under NFZ cylinder to W2","Hold at W1 until 210 s, resume after comms restore","Deviate east 30 m, level at 120 m, reach W2 at 195 s",Cut through NFZ at 45 m to save 40 s,"Turn west to avoid UAV2, delay W3 by 55 s","Reduce speed to 3 m/s post-W1, drift north 15 m","[""Climb to 65 m, direct to W2, descend after jamming zone"", ""Descend to 8 m, fly under NFZ cylinder to W2"", ""Hold at W1 until 210 s, resume after comms restore"", ""Deviate east 30 m, level at 120 m, reach W2 at 195 s"", ""Cut through NFZ at 45 m to save 40 s"", ""Turn west to avoid UAV2, delay W3 by 55 s"", ""Reduce speed to 3 m/s post-W1, drift north 15 m""]","Option D clears the NFZ (above 60 m), avoids the moving obstacle and UAV2 with lateral separation, and completes rerouting before jamming ends. It maintains navigation integrity by using lidar/IMU during GNSS loss and minimizes time in turbulent 120 m altitude band while satisfying all spatiotemporal constraints." 2025-11-01T18:06:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/runway_incursion_daa_solar_wing_sandstorm_f41ea8134ffd_mcq.json,uavbench-mcq-v1,runway_incursion_daa_solar_wing_sandstorm,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which system ensures mission success during GNSS jamming, sandstorm, and partial motor failure with tight battery reserves?","This is an inspection mission using a solar-powered fixed-wing UAV in dense urban airspace. The UAV is equipped with RGB camera, LiDAR, and standard navigation sensors but lacks thermal imaging and radar. The environment features poor visibility due to an active sandstorm and strong, gusty winds increasing with altitude. A no-fly zone cylinder is centrally located, and the flight area is bounded by a polygonal geofence with a designated runway. The UAV must follow a corridor inspection pattern while maintaining separation from a moving obstacle and conflicting traffic. GNSS multipath and electromagnetic interference are present, with a scheduled GNSS jamming fault and a partial motor failure. Communication includes a downlink outage window and low RSSI, requiring resilient data handling. The mission requires runway use for landing and operates under tight battery reserves. Wind shear and turbulence add complexity to flight control and energy management. Mission success depends on avoiding collisions, NFZ breaches, and maintaining DAA separation thresholds.",Use GNSS-only navigation with default PID control,Switch to vision-inertial odometry with adaptive control,Rely on LiDAR SLAM with full motor power compensation,Descend immediately using barometric hold and auto-land,Increase altitude to escape sandstorm with fixed pitch,Maintain course with GNSS despite jamming and low RSSI,Circle NFZ using RGB optical flow for positioning,"[""Use GNSS-only navigation with default PID control"", ""Switch to vision-inertial odometry with adaptive control"", ""Rely on LiDAR SLAM with full motor power compensation"", ""Descend immediately using barometric hold and auto-land"", ""Increase altitude to escape sandstorm with fixed pitch"", ""Maintain course with GNSS despite jamming and low RSSI"", ""Circle NFZ using RGB optical flow for positioning""]","Vision-inertial odometry provides robust positioning during GNSS jamming and multipath, while adaptive control compensates for motor failure and turbulence. It balances energy use and navigational accuracy, preserving battery under low visibility. Other options either fail in GNSS-denied environments, increase risk near NFZ, or over-consume power unsustainably." 2025-11-01T18:06:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/rural_search_rescue_hexacopter_hail_76777f53dcb7_mcq.json,uavbench-mcq-v1,rural_search_rescue_hexacopter_hail,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 120s, with icing impairing flight and a moving obstacle at 50m, how should the hexacopter adjust its grid pattern relative to the second UAV?","This is a rural search and rescue mission using a battery-powered hexacopter equipped with RGB and thermal cameras. The operation takes place in a 500m x 500m rural airspace with a static no-fly zone and a moving restricted zone. Weather conditions include strong winds from 240° at 8.5 m/s with gusts up to 4.0 m/s and ongoing hail, reducing visibility. The UAV must fly a grid pattern across five waypoints between 10m and 120m AGL to locate targets. A dynamic no-fly zone moves slowly through the area, and a second UAV and a moving spherical obstacle pose collision risks. The hexacopter has a 540Wh battery with a 30% reserve requirement, limiting usable energy. GNSS and communication signals may degrade due to hail and brief downlink loss periods. The UAV must maintain at least 25m separation from traffic with a 30-second time-to-closest-approach threshold. An icing event occurs at 120 seconds, impairing performance for one minute.",Ascend to 120m to avoid obstacle and improve thermal range,Continue current grid; obstacle is outside 25m separation threshold,Descend to 10m to reduce wind exposure and conserve battery,Halt propulsion for 60s to wait out icing event safely,Shift grid eastward to let second UAV cover western quadrant,Transmit priority alert and request second UAV to assume next leg,Reduce speed by 50% and increase downlink polling to 1Hz,"[""Ascend to 120m to avoid obstacle and improve thermal range"", ""Continue current grid; obstacle is outside 25m separation threshold"", ""Descend to 10m to reduce wind exposure and conserve battery"", ""Halt propulsion for 60s to wait out icing event safely"", ""Shift grid eastward to let second UAV cover western quadrant"", ""Transmit priority alert and request second UAV to assume next leg"", ""Reduce speed by 50% and increase downlink polling to 1Hz""]","Coordinating spatial task reallocation avoids congestion and respects 25m separation under reduced maneuverability. Shifting the grid allows the second UAV to maintain coverage while the impaired hexacopter navigates safely. This preserves mission continuity, balances energy use, and prevents collision during degraded performance." 2025-11-01T18:06:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/rural_recon_convertiplane_cold_6da7f2ebff63_mcq.json,uavbench-mcq-v1,rural_recon_convertiplane_cold,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"At 125s, icing reduces efficiency; UAV must reroute around static NFZ (r=100m) and drifting sphere (v=3m/s) while mapping grid between 50–450m AGL.","This mission involves a convertiplane UAV performing a rural area mapping survey using a grid flight pattern. The operation takes place in a rural airspace with a defined geofenced area and both static and moving no-fly zones. Weather conditions include moderate winds increasing with altitude, gusts, and icing conditions that impact performance. The UAV is equipped with RGB and thermal cameras for payload, relying on battery power with no fuel reserve. Key constraints include a static no-fly cylinder near the center and a dynamically moving obstacle that requires real-time avoidance. The UAV must maintain separation from another traffic UAV and avoid a drifting spherical obstacle while adhering to altitude limits between 50 and 450 meters AGL. GNSS signals are stable with no multipath or jamming, but electromagnetic interference is present. An icing fault event occurs at 120 seconds, reducing efficiency for one minute, and brief comms loss happens between 400–410 seconds. The mission requires a runway takeoff and landing, with transition times modeled between VTOL and fixed-wing modes. Success depends on completing the mapping route within the time budget while avoiding collisions, geofence breaches, and system failures.","Climb to 450m, fly grid north first, ignore drift rate","Descend to 50m, proceed directly through static NFZ center","Delay transition, orbit at 300m until comms restore at 410s","Adjust grid entry point, fly eastward, maintain 400m with 150m detour","Head straight to final waypoint, skip mapping, save battery","Follow drifting obstacle path with 10m separation, alt=200m","Reroute west, reduce speed, and descend below 50m AGL at 130s","[""Climb to 450m, fly grid north first, ignore drift rate"", ""Descend to 50m, proceed directly through static NFZ center"", ""Delay transition, orbit at 300m until comms restore at 410s"", ""Adjust grid entry point, fly eastward, maintain 400m with 150m detour"", ""Head straight to final waypoint, skip mapping, save battery"", ""Follow drifting obstacle path with 10m separation, alt=200m"", ""Reroute west, reduce speed, and descend below 50m AGL at 130s""]","Option D maintains safe altitude and avoids both static and dynamic obstacles with a 150m buffer, accounting for drift and turn radius. It preserves mapping coverage while adapting to icing-induced performance loss. Other choices breach AGL limits, cut through NFZs, or waste time and energy." 2025-11-01T18:06:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/runway_touch_and_go_vtol_urban_microburst_185390ffb4a2_mcq.json,uavbench-mcq-v1,runway_touch_and_go_vtol_urban_microburst,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"With 1200 Wh battery, 30% reserve, and GNSS denial from 120–150s, which action ensures mission completion within 600s and avoids no-fly zone at (250,100) R=30m?","This UAV mission involves a VTOL tiltrotor conducting a delivery in dense urban airspace with a designated runway. The aircraft operates within a 10–120 m AGL altitude range, navigating a polygonal geofenced area with a central no-fly cylinder. Weather includes 8 m/s winds from the west, gusts up to 4 m/s, and a risk of microbursts, posing significant flight challenges. The UAV carries an RGB camera payload for navigation and delivery confirmation, relying on GNSS, IMU, barometer, magnetometer, and LiDAR for sensing. A key constraint is avoiding a no-fly zone centered at (250, 100) with a 30 m radius and 10–80 m vertical limits. The mission requires touch-and-go operations using a 350 m runway aligned east-west, with precise transition timing between hover and forward flight. During flight, GNSS jamming occurs at 120 seconds for 30 seconds, coinciding with a comms loss window, demanding resilient navigation. The UAV must maintain separation from another UAV moving westbound and avoid a drifting spherical obstacle near (200, 300, 50). Power management is critical, with a 1200 Wh battery and 30% reserve required, while completing the waypoint corridor within 600 seconds. The scenario tests robustness to GNSS denial, wind disturbances, dynamic obstacles, and strict airspace compliance in a high-risk urban environment.",Climb to 120 m for clear LiDAR view and proceed direct,Descend to 10 m AGL to reduce wind impact and drift risk,Disable RGB camera to save power and rely on IMU only,Fly eastbound to extend comms range before transition,Use LiDAR-aided dead reckoning during GNSS denial,"Loiter at (200, 100) until GNSS signal fully recovers",Increase airspeed to 30 m/s through windward corridor,"[""Climb to 120 m for clear LiDAR view and proceed direct"", ""Descend to 10 m AGL to reduce wind impact and drift risk"", ""Disable RGB camera to save power and rely on IMU only"", ""Fly eastbound to extend comms range before transition"", ""Use LiDAR-aided dead reckoning during GNSS denial"", ""Loiter at (200, 100) until GNSS signal fully recovers"", ""Increase airspeed to 30 m/s through windward corridor""]","E maintains navigation accuracy during GNSS denial by fusing LiDAR with IMU, minimizing drift without excessive power use. It preserves battery for critical phases while ensuring geofence compliance. Other options either waste energy, increase risk, or fail to meet time or safety constraints." 2025-11-01T18:06:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/runway_touch_and_go_snowfall_quadrotor_85263aca6074_mcq.json,uavbench-mcq-v1,runway_touch_and_go_snowfall_quadrotor,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Given 6 m/s wind, icing at 300s, and two 10s comms outages, what minimizes energy use while ensuring runway pass and obstacle avoidance?","This scenario involves a quadrotor UAV conducting a runway touch-and-go mission near an airport perimeter. The flight occurs in a defined airspace with a maximum altitude of 120 meters AGL and a geofenced 500m x 500m square area. A cylindrical no-fly zone with a 30-meter radius is centered at (250, 250) and extends up to 60 meters in altitude. The environment features moderate snowfall, poor visibility, and a steady 6 m/s wind from the west with gusts up to 3 m/s. The UAV is equipped with a battery-powered quadrotor configuration, carrying an RGB camera payload. It must navigate along a linear corridor of waypoints aligned with a 400-meter runway oriented eastbound. A single traffic UAV moves northward at 8 m/s, requiring separation management with a minimum safe distance of 25 meters. A moving spherical obstacle drifts diagonally across the area at low speed. The UAV experiences a partial icing event at 300 seconds, reducing performance for one minute. Communication experiences brief downlink outages between 120–130 and 480–490 seconds.",Climb to 120m for clear runway view and steady approach,"Descend to 40m, reduce camera FPS, and shorten path around no-fly zone","Maintain 80m altitude, full camera resolution, direct path through center",Hover at 60m during icing event to stabilize flight controls,Increase speed to 12 m/s to finish before battery depletes,Stream full HD video continuously to ground during mission,"Fly low at 30m, disable camera, and circle until comms restore","[""Climb to 120m for clear runway view and steady approach"", ""Descend to 40m, reduce camera FPS, and shorten path around no-fly zone"", ""Maintain 80m altitude, full camera resolution, direct path through center"", ""Hover at 60m during icing event to stabilize flight controls"", ""Increase speed to 12 m/s to finish before battery depletes"", ""Stream full HD video continuously to ground during mission"", ""Fly low at 30m, disable camera, and circle until comms restore""]",Flying lower reduces wind resistance and power consumption. Reducing camera FPS saves energy and bandwidth during outages. Shortening the path maintains mission timing and safety while conserving battery for gusts and icing. 2025-11-01T18:06:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/rural_firefighting_drop_vtol_c786d73f0428_mcq.json,uavbench-mcq-v1,rural_firefighting_drop_vtol,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 120s, icing reduces lift; GNSS jamming increases. Which action ensures control and navigation resilience within 600s mission time?","This is a rural firefighting mission using a VTOL tiltrotor UAV equipped with radar, RGB, and thermal cameras. The operation takes place in a defined rectangular airspace with a no-fly zone centered at (400, 300) and a runway aligned to heading 90°. Weather includes strong winds up to 15.5 m/s increasing with altitude, gusts, and hazardous hail. The UAV carries a 5 kg payload for fire suppression drops along a corridor flight pattern. GNSS signals are degraded due to jamming and electromagnetic interference, increasing navigation risk. A moving spherical obstacle travels westward at 2 m/s through the airspace. Another UAV is present, flying at 18 m/s toward the west, requiring separation monitoring. An icing event occurs at 120 seconds, reducing performance for 45 seconds. The mission must be completed within 600 seconds, with safe return to the designated runway. Battery reserve is set at 30%, and flight is constrained by wind effects, multipath, and required obstacle avoidance.",Switch to encrypted INS with radar-aided SLAM,Rely on unencrypted GNSS with PID correction,Increase throttle without sensor fusion update,Disable thermal cam to save battery for comms,Use open telemetry for ground-station overrides,"Follow last known GPS heading until 400,300",Transmit unauthenticated position every 2s,"[""Switch to encrypted INS with radar-aided SLAM"", ""Rely on unencrypted GNSS with PID correction"", ""Increase throttle without sensor fusion update"", ""Disable thermal cam to save battery for comms"", ""Use open telemetry for ground-station overrides"", ""Follow last known GPS heading until 400,300"", ""Transmit unauthenticated position every 2s""]","A- switches to secure, authenticated inertial navigation with sensor fusion, maintaining control under GNSS jamming and physical degradation. It preserves data integrity and availability while compensating for icing and wind. Other options expose command channels, lack redundancy, or ignore spoofing risks." 2025-11-01T18:06:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/rural_glider_lightning_scenario_25dba75da132_mcq.json,uavbench-mcq-v1,rural_glider_lightning_scenario,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 380s, wind at 200m is 15 m/s, lightning risk rises, and lost-link fault in 20s. Maintain survey, seek lift, or exit?","This scenario involves a glider UAV conducting a rural survey mission in moderate wind with a lightning risk. The glider operates between 50 and 400 meters AGL within a defined polygonal airspace. Winds increase with altitude, shifting from 8 m/s at ground level to 15 m/s at 200 meters, affecting flight dynamics. The UAV carries an RGB camera payload for visual data collection during the corridor-style survey. A static no-fly zone and a moving no-fly cylinder must be avoided during navigation. Another UAV and a moving spherical obstacle travel through the airspace, requiring separation management. The DAA system enforces a 50-meter separation threshold with a 30-second time-to-closest approach limit. Electromagnetic interference is present, though GNSS multipath is not a factor in this environment. A planned lost-link fault occurs at 400 seconds, simulating 15 seconds of communication loss. Thermal updrafts near survey waypoints offer potential lift but must be managed alongside lightning risk.",Continue survey; lightning risk is uncertain,Climb to 400m for stronger thermal lift,Descend to 50m to avoid lightning and wind,Divert through static no-fly zone to save time,Fly toward moving obstacle for better data,Delay response until after lost-link fault,Abort mission and exit toward safe zone,"[""Continue survey; lightning risk is uncertain"", ""Climb to 400m for stronger thermal lift"", ""Descend to 50m to avoid lightning and wind"", ""Divert through static no-fly zone to save time"", ""Fly toward moving obstacle for better data"", ""Delay response until after lost-link fault"", ""Abort mission and exit toward safe zone""]","Lightning poses a critical safety risk to equipment and potential ground personnel. Continuing or altering flight within hazardous weather or restricted zones increases danger and violates safety protocols. Aborting the mission prioritizes risk mitigation, complies with lawful airspace rules, and upholds ethical responsibility to prevent harm." 2025-11-01T18:06:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/sandstorm_bridge_firefighting_drop_07516d83dbcc_mcq.json,uavbench-mcq-v1,sandstorm_bridge_firefighting_drop,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"Given 12 m/s westerly winds, 18 m/s gusts, and radar reliance, which action optimizes payload drop at waypoint near (500, 400) within 10-minute limit?","This is a firefighting mission using a fuel-powered helicopter UAV equipped with radar, RGB and thermal cameras, flying at a bridge site during a sandstorm with poor visibility and strong 12 m/s winds from the west, including gusts up to 18 m/s. The UAV must deliver a 15 kg payload while navigating within an airspace bounded between 10 and 150 meters AGL, avoiding static and moving no-fly zones. A cylindrical NFZ of 100 m radius is centered at (500, 400) with a floor at 20 m and ceiling at 120 m, and another dynamic NFZ moves diagonally from (700, 600) at 2.8 m/s. The mission follows a corridor pattern through four waypoints, starting near the spawn point at (100, 100, 30), with a 10-minute time budget. The UAV must avoid a moving spherical obstacle drifting north at 2 m/s and maintain at least 50 m separation from other traffic. GNSS multipath effects may occur due to the bridge structure, and the UAV relies on sensor fusion from IMU, barometer, magnetometer, and radar for navigation. Visual sensors are degraded by the sandstorm, increasing reliance on radar and inertial navigation. The flight requires careful energy management despite using fuel, with a reserve fraction of 30% and strict geofencing. Communication links are nominal but must stay above -85 dBm RSSI to ensure command and telemetry integrity. Mission success depends on accurate drop execution, avoiding collisions, and adhering to airspace constraints under challenging environmental conditions.",Climb to 140 m AGL to avoid gusts and NFZ ceiling,Descend to 15 m AGL to reduce wind exposure,Approach NFZ at 25 m altitude to align with drop corridor,Fly direct at 100 m AGL to minimize time and fuel,Delay drop until wind drops below 10 m/s for stability,Reroute east to avoid sandstorm visual degradation,"Reduce speed to 12 m/s and descend to 30 m AGL, aligning with corridor and radar fidelity","[""Climb to 140 m AGL to avoid gusts and NFZ ceiling"", ""Descend to 15 m AGL to reduce wind exposure"", ""Approach NFZ at 25 m altitude to align with drop corridor"", ""Fly direct at 100 m AGL to minimize time and fuel"", ""Delay drop until wind drops below 10 m/s for stability"", ""Reroute east to avoid sandstorm visual degradation"", ""Reduce speed to 12 m/s and descend to 30 m AGL, aligning with corridor and radar fidelity""]","Flying at 30 m AGL avoids the cylindrical NFZ (20–120 m) and maintains radar-inertial navigation accuracy despite sandstorm. Reducing speed to 12 m/s matches wind magnitude for stable control, conserves energy, and ensures precise drop timing within the 10-minute budget while staying above geofence floor and maintaining RSSI." 2025-11-01T18:06:04Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/rural_powerline_inspection_heavy_lift_355f353c38d9_mcq.json,uavbench-mcq-v1,rural_powerline_inspection_heavy_lift,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"At 25 m altitude with 6 m/s wind from 240°, how should the UAV adjust near the moving obstacle while maintaining 25 m separation and power reserve?","This scenario involves a rural powerline inspection mission using a heavy-lift octocopter equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The UAV operates within a defined polygonal airspace bounded between 5 and 120 meters AGL. Winds are moderate at 6 m/s from 240 degrees with occasional 3.5 m/s gusts, but visibility is good. The UAV carries a 3.2 kg inspection payload and relies solely on battery power with a 12,000 Wh capacity and 30% reserve. A cylindrical no-fly zone centered at (400, 300) with a 50-meter radius and 80-meter ceiling restricts flight paths. The mission follows a corridor pattern with five waypoints at 25 meters altitude, requiring precise navigation near obstacles. A moving spherical obstacle drifts westward at 2 m/s near the route, adding dynamic risk. Another UAV enters the airspace from the east at 12 m/s, requiring separation monitoring with a 25-meter threshold. GNSS signals may experience multipath effects near structures, though no faults are modeled. The UAV must complete the inspection within 600 seconds while avoiding geofence breaches, collisions, and loss of separation.",Climb to 80 m to reduce wind effects and avoid the obstacle,Descend to 15 m AGL to minimize exposure to gusts,Increase speed to 14 m/s to quickly pass the obstacle,Hover for 20 seconds to reassess navigation solution,Follow a lateral offset path at 25 m maintaining speed,Reduce speed to 8 m/s and bank left to evade smoothly,Pitch forward aggressively to maintain ground track,"[""Climb to 80 m to reduce wind effects and avoid the obstacle"", ""Descend to 15 m AGL to minimize exposure to gusts"", ""Increase speed to 14 m/s to quickly pass the obstacle"", ""Hover for 20 seconds to reassess navigation solution"", ""Follow a lateral offset path at 25 m maintaining speed"", ""Reduce speed to 8 m/s and bank left to evade smoothly"", ""Pitch forward aggressively to maintain ground track""]","Reducing speed to 8 m/s improves control authority in wind and lowers energy use, while a smooth bank ensures obstacle avoidance and flight stability. This balances aerodynamic efficiency, energy conservation, and safety compliance with separation and geofence constraints. Other options either risk ceiling violations, reserve depletion, or loss of separation." 2025-11-01T18:06:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/pipeline_inspection_bridge_site_hail_e09dd675e365_mcq.json,uavbench-mcq-v1,pipeline_inspection_bridge_site_hail,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Given 12,500 Wh battery, 30% reserve, and 8.5 m/s winds, which action maximizes inspection completion while ensuring safe return?","This is an inspection mission using a heavy-lift octocopter equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs in a defined bridge site airspace with a rectangular geofenced area and a cylindrical no-fly zone around a critical structure. Weather conditions include strong winds from 240 degrees at 8.5 m/s, gusts up to 4.5 m/s, and poor visibility due to hail, increasing operational risk. The UAV must follow a corridor inspection pattern across five waypoints while maintaining altitudes between 10 and 120 meters AGL. A concurrent UAV traffic track and a moving spherical obstacle near the bridge add complexity to path planning. GNSS jamming is expected at 120 seconds for 30 seconds, requiring robust navigation fallbacks. Communication experiences brief downlink losses at 200 and 450 seconds, demanding resilient data handling. Battery endurance is critical, with a 12,500 Wh capacity and 30% reserve required for safe return. Separation assurance must maintain at least 25 meters distance with a time-to-closest approach threshold of 15 seconds. The mission emphasizes fault tolerance, environmental resilience, and precision flying under constrained and dynamic conditions.",Fly full-speed at 120 m AGL throughout to minimize exposure,Descend to 10 m AGL early to reduce wind impact and save power,Disable LiDAR to cut power use and extend flight time,Skip waypoint 3 to conserve energy for thermal imaging,Increase camera resolution during hail for better data quality,Hover at each waypoint longer to stabilize in gusts,Transmit all data in real-time despite downlink interruptions,"[""Fly full-speed at 120 m AGL throughout to minimize exposure"", ""Descend to 10 m AGL early to reduce wind impact and save power"", ""Disable LiDAR to cut power use and extend flight time"", ""Skip waypoint 3 to conserve energy for thermal imaging"", ""Increase camera resolution during hail for better data quality"", ""Hover at each waypoint longer to stabilize in gusts"", ""Transmit all data in real-time despite downlink interruptions""]","Flying at 10 m AGL reduces wind resistance and power demand, preserving battery for mission extension and reserve. It balances inspection quality with energy savings, ensuring return capability during GNSS outages and communication losses. Other options either increase consumption, risk data loss, or compromise safety margins." 2025-11-01T18:06:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/rural_survey_microburst_f3fb9069fa1f_mcq.json,uavbench-mcq-v1,rural_survey_microburst,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 55m AGL, wind gusts hit 12 m/s near microburst; another UAV approaches from north at 60m. What should the quadrotor do?","Quadrotor UAV conducts a rural aerial survey mission in grid pattern. Operating area is a 500m x 500m rural airspace with flat terrain. Wind is 8 m/s from the west with gusts up to 4 m/s and microburst risk present. UAV is a battery-powered quadrotor equipped with RGB camera and standard navigation sensors. Payload includes a 0.3kg imaging system with moderate drag. Flight altitude ranges from 10m to 120m AGL, with a no-fly zone cylinder at center (250,250) radius 30m. Mission must complete within 600 seconds, covering four survey waypoints at 50m altitude. A moving spherical obstacle drifts westward at 2 m/s near one leg of the route. Another UAV enters from the north at 60m altitude, requiring 25m separation and 15s time-to-conflict threshold. GNSS multipath is not a concern, but microburst conditions may affect stability and energy use.",Climb to 70m to avoid microburst effects,Descend to 45m and slow speed to 3 m/s,Hold altitude and increase throttle to stabilize,Turn east to bypass moving obstacle and NFZ,Ascend to 60m to match other UAV's altitude,Execute immediate emergency landing,Reduce altitude to 50m and proceed direct to next waypoint,"[""Climb to 70m to avoid microburst effects"", ""Descend to 45m and slow speed to 3 m/s"", ""Hold altitude and increase throttle to stabilize"", ""Turn east to bypass moving obstacle and NFZ"", ""Ascend to 60m to match other UAV's altitude"", ""Execute immediate emergency landing"", ""Reduce altitude to 50m and proceed direct to next waypoint""]","Descending to 50m satisfies the mission's required survey altitude while minimizing exposure to gusts and microburst-induced instability. It maintains vertical separation (10m) from the other UAV at 60m, complies with AGL constraints, avoids the NFZ, and preserves battery for timely mission completion within 600 seconds." 2025-11-01T18:06:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/rural_snowfall_convertiplane_survey_0914f65c8ca5_mcq.json,uavbench-mcq-v1,rural_snowfall_convertiplane_survey,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Convertiplane UAV surveys grid at 50–300 m AGL; wind hits 11 m/s at 200 m, icing degrades performance 1 min, GNSS jammed.","This mission involves a convertiplane UAV conducting a grid survey in rural airspace under snowy and icy weather conditions. The UAV operates between 50 and 300 meters AGL within a defined polygonal geofence. Persistent snowfall and poor visibility challenge flight operations, while wind increases with altitude, reaching 11 m/s at 200 meters. The UAV is equipped with GNSS, IMU, lidar, and RGB camera for navigation and data collection, but faces GNSS multipath interference and moderate jamming. A static no-fly zone and a moving no-fly cylinder must be avoided, along with a dynamic obstacle drifting westward at 2 m/s. The mission requires runway-assisted takeoff and landing, with preferred and emergency landing sites designated. Traffic includes another UAV flying westward at 200 meters altitude. An icing event occurs mid-mission, degrading performance for one minute. Communication experiences brief dropouts, and the flight must adhere to separation and time-to-collision safety thresholds.",Fly direct path at 200 m to minimize time and power use.,Ascend to 300 m for clearer GNSS despite higher wind drag.,Reduce lidar frame rate to cut power during icing event.,Switch to full RGB imaging to compensate for lost GNSS data.,"Reroute westward to avoid wind, extending flight by 8 minutes.",Activate de-icing heaters continuously for full mission duration.,Transmit all data in real-time at maximum bandwidth.,"[""Fly direct path at 200 m to minimize time and power use."", ""Ascend to 300 m for clearer GNSS despite higher wind drag."", ""Reduce lidar frame rate to cut power during icing event."", ""Switch to full RGB imaging to compensate for lost GNSS data."", ""Reroute westward to avoid wind, extending flight by 8 minutes."", ""Activate de-icing heaters continuously for full mission duration."", ""Transmit all data in real-time at maximum bandwidth.""]","Reducing lidar frame rate conserves power during the icing event when propulsion efficiency drops, preserving battery for critical flight controls. Other options increase energy use or expose the UAV to higher wind or communication loads. This balances sensor utility and endurance without violating safety or return margins." 2025-11-01T18:06:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/sandstorm_relay_mission_afcca36acbf8_mcq.json,uavbench-mcq-v1,sandstorm_relay_mission,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,A VTOL tiltrotor in a sandstorm must relay comms at 60m AGL with GNSS jamming and 20m swarm separation.,"This is a satellite link relay mission conducted by a VTOL tiltrotor UAV inside an underground mine. The UAV operates in poor visibility due to an active sandstorm, with moderate winds increasing with altitude and significant gusts. The environment features GNSS multipath, electromagnetic interference, and periodic GNSS jamming, severely impacting navigation reliability. The UAV is equipped with GNSS, IMU, lidar, and RGB camera for sensing, supporting its communication relay payload. The flight is constrained by a fixed geofenced airspace with a static no-fly zone at the center and a moving obstacle that shifts position dynamically. An additional dynamic no-fly zone moves slowly through the area, requiring real-time avoidance. The mission involves a coordinated swarm of three UAVs maintaining minimum separation of 20 meters, with roles including leader, relay, and scout. The UAV must follow a predefined corridor pattern while adhering to strict altitude limits between 0 and 60 meters AGL. Key challenges include intermittent uplink comms, battery reserve constraints, and fault events like motor failure and GNSS jamming.",Fly highest altitude continuously to avoid obstacles,Disable lidar to save power and rely on IMU,Reduce comms transmit power during jamming events,Hover in place until GNSS signal stabilizes,Increase tiltrotor thrust to maintain speed in gusts,Switch to camera-only navigation to reduce CPU load,"Use lidar-IMU fusion, modulate comms power, and follow corridor at 50m AGL","[""Fly highest altitude continuously to avoid obstacles"", ""Disable lidar to save power and rely on IMU"", ""Reduce comms transmit power during jamming events"", ""Hover in place until GNSS signal stabilizes"", ""Increase tiltrotor thrust to maintain speed in gusts"", ""Switch to camera-only navigation to reduce CPU load"", ""Use lidar-IMU fusion, modulate comms power, and follow corridor at 50m AGL""]","Lidar-IMU fusion maintains navigation accuracy during GNSS jamming without excessive power draw. Modulating comms power preserves battery while sustaining link reliability. Flying at 50m AGL balances obstacle clearance, energy use, and mission corridor adherence under dynamic constraints." 2025-11-01T18:06:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/scenario_042_e5501f9adff4_mcq.json,uavbench-mcq-v1,scenario_042,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,A 2.5 kg quadrotor with 15 m/s max speed operates at 30° tilt. What limits sustained hover endurance within 120 m altitude?,"This UAV mission involves a quadrotor conducting an unspecified operation within a flat, square geofenced airspace spanning 2 km by 2 km. The operational area is bounded by a polygon with corners at (±1000 m, ±1000 m) relative to the origin. Flight altitude is restricted between 0 and 120 meters above ground level. The UAV has a mass of 2.5 kg and is powered by a 220 Wh battery, with a reserve of 15% allocated for safety. It can achieve a maximum speed of 15 m/s and a maximum tilt angle of 30 degrees. The payload and specific mission objectives are not defined in the scenario. No-fly zones are enforced by the outer geofence polygon, limiting lateral movement. The environment does not specify weather conditions, implying benign wind and visibility. GNSS multipath and separation from other aircraft are not explicitly modeled, but geofencing and altitude constraints ensure basic operational safety.",Excessive airspeed reduces propeller disk efficiency,High angle of attack increases induced drag quadratically,Battery energy is depleted by vertical thrust demand,Ground effect diminishes lift at 120 m altitude,Tilt angle reduces available vertical thrust component,Air density decreases significantly at 120 m AGL,Maximum speed consumes power faster than lift requires,"[""Excessive airspeed reduces propeller disk efficiency"", ""High angle of attack increases induced drag quadratically"", ""Battery energy is depleted by vertical thrust demand"", ""Ground effect diminishes lift at 120 m altitude"", ""Tilt angle reduces available vertical thrust component"", ""Air density decreases significantly at 120 m AGL"", ""Maximum speed consumes power faster than lift requires""]","Sustained hover requires thrust equal to weight (2.5 kg × 9.81 m/s² ≈ 24.5 N), which draws continuous power from the 220 Wh battery. The 15% reserve further limits usable energy, making endurance primarily constrained by power demand for vertical thrust. Other factors like tilt or airspeed are secondary in hover, where induced drag dominates and battery capacity sets hard limits." 2025-11-01T18:06:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/scenario_048_836395b72053_mcq.json,uavbench-mcq-v1,scenario_048,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 110 m altitude and 15 m/s, UAV detects signal loss near a building; battery at 17%. What action prioritizes safety and compliance?","This UAV mission involves a quadrotor conducting operations within a rectangular urban airspace bounded by a geofence from -1000 m to 1000 m in both north-south and east-west directions. The flight is restricted to altitudes between 0 m and 120 m above ground level. The UAV has a mass of 2.5 kg and is equipped with a 220 Wh battery, supporting a maximum speed of 15 m/s and a maximum tilt angle of 30 degrees. It carries standard onboard sensors typical for a quadrotor but no specialized payload is specified. The environment does not specify adverse weather conditions, though urban GNSS multipath effects are expected due to surrounding structures. A no-fly zone (NFZ) is enforced by the geofence, requiring strict adherence to predefined lateral and vertical boundaries. Battery reserve is set to 15% to ensure safe return, and energy consumption accounts for hover, drag, and maneuvering. The simulation runs for 900 steps at a 0.02-second interval with policy updates every 15 steps. Flight planning must account for limited GNSS accuracy and potential signal blockages. The mission type is general-purpose urban UAV operation with emphasis on safety and energy-aware navigation.",Descend to 50 m and proceed to destination,Climb to 120 m for better GNSS reception,Hover at current position until signal returns,Abort mission and return to home,Fly diagonally to escape urban canyon effect,Reduce speed to 5 m/s and continue forward,Enter no-fly zone to gain line-of-sight,"[""Descend to 50 m and proceed to destination"", ""Climb to 120 m for better GNSS reception"", ""Hover at current position until signal returns"", ""Abort mission and return to home"", ""Fly diagonally to escape urban canyon effect"", ""Reduce speed to 5 m/s and continue forward"", ""Enter no-fly zone to gain line-of-sight""]","Signal loss in urban GNSS environments increases collision risk. With battery at 17%, near reserve threshold, continuing increases danger. Returning ensures safe operation within energy and geofence constraints while avoiding populated areas." 2025-11-01T18:06:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/sandstorm_firefighting_drop_solar_wing_fb608577ac82_mcq.json,uavbench-mcq-v1,sandstorm_firefighting_drop_solar_wing,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"UAV must drop at 5 waypoints, avoid moving obstacle at (-2,3,0) m/s, and maintain 30% battery within 600 s.","This mission involves a firefighting drop using a solar-powered fixed-wing UAV in a powerline corridor. The UAV operates in poor visibility due to an active sandstorm, with strong winds from 240° at 8.5 m/s and gusts up to 4 m/s. The aircraft is equipped with radar, RGB and thermal cameras, and a 2 kg payload for fire detection and suppression. It must navigate within a defined corridor between 30 m and 180 m AGL, avoiding a cylindrical no-fly zone centered at (400, 300) with a 50 m radius and 100 m ceiling. A second UAV is present in the airspace, moving westward at 18 m/s, requiring separation monitoring. A moving spherical obstacle drifts at (500, 350, 70) with a 15 m radius and velocity of (-2, 3, 0) m/s. The mission requires adherence to a 600-second time budget, use of a designated runway for landing, and continuous communication, though brief uplink/downlink losses are expected. GNSS multipath effects may occur near powerline structures, and visual navigation is impaired by sandstorm conditions. The UAV must complete its drop pattern along five waypoints while maintaining safe separation and returning with 30% battery reserve.",Adjust path to intercept obstacle's future position for early avoidance,Descend to 25 m AGL to improve thermal detection through dust,Proceed direct to last waypoint to save time and battery,Climb to 190 m AGL for clearer radar return above sandstorm,Delay drop sequence to synchronize comms after expected uplink loss,Match speed with second UAV to reduce relative separation risk,Optimize route using real-time drift prediction and inter-UAV deconfliction,"[""Adjust path to intercept obstacle's future position for early avoidance"", ""Descend to 25 m AGL to improve thermal detection through dust"", ""Proceed direct to last waypoint to save time and battery"", ""Climb to 190 m AGL for clearer radar return above sandstorm"", ""Delay drop sequence to synchronize comms after expected uplink loss"", ""Match speed with second UAV to reduce relative separation risk"", ""Optimize route using real-time drift prediction and inter-UAV deconfliction""]","G ensures collision avoidance with the drifting obstacle via predictive tracking and maintains safe separation from the second UAV through decentralized coordination. It balances time, battery, and communication constraints while adhering to altitude and no-fly zone limits. Other options violate altitude bounds, neglect timing, or increase collision risk." 2025-11-01T18:06:05Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/scenario_118_9d0024d1e558_mcq.json,uavbench-mcq-v1,scenario_118,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,A,False,"A UAV must reach a waypoint at (800, 600) m within 90 s, maintaining ≤120 m AGL and conserving 15% battery.","The mission involves a quadrotor UAV conducting operations within a rectangular 2 km by 2 km airspace zone. The flight area is bounded by a polygon geofence with coordinates ranging from -1000 m to +1000 m in both north and east directions. Maximum altitude is limited to 120 meters AGL, with no minimum above ground level. The UAV has a mass of 2.5 kg and is equipped with a 220 Wh battery, supporting a maximum speed of 15 m/s. It can tilt up to 30 degrees and uses a rotorcraft configuration with a default disk area of 0.5 m². Weather conditions are not specified, implying benign or nominal atmospheric states. No specific mission objectives are defined, suggesting a generic surveillance or training flight. There are no explicit constraints related to no-fly zones, separation requirements, or GNSS multipath issues. Battery reserve is set to 15%, with power consumption modeled based on hover, drag, and maneuvering factors. The simulation runs for 900 steps at a 0.02-second time resolution, with policy updates every 15 steps.","Fly direct at 15 m/s, constant 100 m AGL",Climb to 130 m AGL for faster descent advantage,Take detour east to avoid hypothetical NFZ,Fly at 10 m/s to reduce power consumption,Ascend slowly over first 300 m for lift efficiency,"Route via (-1000, -1000) to test geofence limits",Hover 10 seconds every 200 m to recalibrate,"[""Fly direct at 15 m/s, constant 100 m AGL"", ""Climb to 130 m AGL for faster descent advantage"", ""Take detour east to avoid hypothetical NFZ"", ""Fly at 10 m/s to reduce power consumption"", ""Ascend slowly over first 300 m for lift efficiency"", ""Route via (-1000, -1000) to test geofence limits"", ""Hover 10 seconds every 200 m to recalibrate""]","Direct flight at max speed and safe altitude minimizes time and energy while satisfying AGL and geofence bounds. Other options either breach altitude limits, waste time, or increase distance unnecessarily. A balances time-to-goal and battery use within mission constraints." 2025-11-01T18:06:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/sandstorm_powerline_survey_octocopter_fa6baf88f531_mcq.json,uavbench-mcq-v1,sandstorm_powerline_survey_octocopter,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,C,False,"At 200 s, GNSS fails with 9 m/s winds and a drifting obstacle; which action maintains safety and waypoint timing?","Octocopter UAV conducts a powerline corridor survey in a desert environment with active sandstorm conditions. Mission involves following a predefined waypoint path at low to medium altitudes within a confined airspace. Weather includes strong 9 m/s winds from 240°, gusts up to 4.5 m/s, and poor visibility due to sandstorm. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Payload adds 1.2 kg with moderate aerodynamic drag, affecting endurance and stability. Flight is constrained by static and moving no-fly zones, including a dynamic cylinder obstacle drifting southwest. Another UAV enters the airspace from the east, requiring separation assurance below 25 m threshold. GNSS jamming fault occurs at 200 seconds, lasting 45 seconds with high severity, challenging navigation. Downlink communication is lost during two critical intervals, limiting telemetry and data transmission. Battery reserve is set to 30%, with tight energy budgeting required due to wind and mission duration.",Climb to 150 m AGL for clearer signals and obstacle clearance,Hold position at current waypoint until GNSS recovers,Switch to LiDAR-aided dead reckoning toward next waypoint,Return to launch immediately to avoid navigation risk,Descend to 30 m AGL to reduce wind and sand impact,Fly direct east to exit sandstorm and regroup,Orbit southwest to follow drifting obstacle's path,"[""Climb to 150 m AGL for clearer signals and obstacle clearance"", ""Hold position at current waypoint until GNSS recovers"", ""Switch to LiDAR-aided dead reckoning toward next waypoint"", ""Return to launch immediately to avoid navigation risk"", ""Descend to 30 m AGL to reduce wind and sand impact"", ""Fly direct east to exit sandstorm and regroup"", ""Orbit southwest to follow drifting obstacle's path""]","LiDAR-aided dead reckoning maintains progress within the corridor while compensating for GNSS outage and drift. It preserves altitude band, avoids obstacle, and minimizes energy use. Other options either breach separation, waste time, or increase exposure." 2025-11-01T18:06:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/sandstorm_glider_recon_4d899cfa015a_mcq.json,uavbench-mcq-v1,sandstorm_glider_recon,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,"At 80m altitude in sandstorm, 12 m/s winds, UAV faces inbound traffic and drifting obstacle at 2 m/s west—what action ensures DAA compliance?","Fixed-wing glider UAV conducts area reconnaissance mission near airport perimeter with strict altitude limits between 30 and 150 meters AGL. The flight occurs in poor visibility due to an active sandstorm, with strong 12 m/s winds from 240 degrees and gusts up to 6 m/s. The UAV is equipped with RGB camera payload for visual data collection and relies on GNSS, IMU, magnetometer, and barometer for navigation. A no-fly zone cylinder is present near the center of the airspace, restricting access within 30 meters radius and up to 60 meters altitude. The mission requires covering a rectangular grid pattern of waypoints at 80 meters altitude within a 600-second time budget. Another UAV is flying inbound at high speed, creating a traffic conflict requiring separation monitoring. A moving spherical obstacle drifts westward at 2 m/s, posing dynamic collision risk near the mission path. The UAV must maintain at least 25 meters separation and 20 seconds time-to-closest-approach for DAA compliance. GNSS multipath effects may occur due to proximity to airport infrastructure and sandstorm conditions. Downlink communications are unreliable, with two planned loss windows, requiring autonomous operation during critical phases.",Continue mission; trust GNSS for obstacle avoidance,Climb to 160m to clear obstacle and traffic,Descend below 30m to reduce wind exposure,Abort mission and land immediately at current position,Adjust grid path laterally by 40m to avoid obstacle,Fly through no-fly zone to shorten conflict exposure,Hold at last waypoint for 30 seconds to reassess,"[""Continue mission; trust GNSS for obstacle avoidance"", ""Climb to 160m to clear obstacle and traffic"", ""Descend below 30m to reduce wind exposure"", ""Abort mission and land immediately at current position"", ""Adjust grid path laterally by 40m to avoid obstacle"", ""Fly through no-fly zone to shorten conflict exposure"", ""Hold at last waypoint for 30 seconds to reassess""]","The UAV must maintain 25m separation and 20s time-to-closest-approach while operating within strict altitude and spatial limits. Continuing (A), climbing (B), descending (C), or entering the no-fly zone (F) violate safety, legal, or operational constraints. Holding (G) risks passive collision; aborting (D) sacrifices mission unnecessarily. E satisfies DAA, avoids dynamic obstacle, and preserves mission integrity within bounds." 2025-11-01T18:06:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/sandstorm_powerline_inspection_convertiplane_edcaf6652a4b_mcq.json,uavbench-mcq-v1,sandstorm_powerline_inspection_convertiplane,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"Convertiplane UAV in sandstorm at 40m altitude; 25kt gusty winds, degraded GNSS, 65% battery. How to proceed to next waypoint?","This scenario involves a powerline inspection mission using a convertiplane UAV in dense urban airspace. The flight occurs in poor visibility due to an active sandstorm, with strong and gusty winds increasing with altitude. The UAV is equipped with a comprehensive sensor suite including RGB and thermal cameras, LiDAR, radar, and full navigation sensors. It operates within a defined rectangular airspace that includes a static no-fly zone and a moving restricted zone, while also sharing space with another UAV and a moving obstacle. The mission requires navigating a corridor pattern around four waypoints at low altitude, with strict separation requirements from other traffic. GNSS performance is degraded due to multipath effects, electromagnetic interference, and a planned jamming event causing partial signal loss. The UAV must manage battery reserves carefully, especially during transitions between hover and forward flight. Launch and recovery depend on runway availability, adding complexity to operations in constrained urban terrain. Environmental and system challenges demand robust navigation, fault tolerance, and dynamic path planning to complete the mission successfully.",Climb to 80m for cleaner GPS signal,Descend to 20m to reduce wind exposure,Hold hover at current position for 90s,Proceed at 15m/s using LiDt and radar,Return to base via shortest path now,Fly 10m below adjacent UAV for shielding,Transition to forward flight at 12m/s,"[""Climb to 80m for cleaner GPS signal"", ""Descend to 20m to reduce wind exposure"", ""Hold hover at current position for 90s"", ""Proceed at 15m/s using LiDt and radar"", ""Return to base via shortest path now"", ""Fly 10m below adjacent UAV for shielding"", ""Transition to forward flight at 12m/s""]",Transitioning to forward flight at 12m/s balances aerodynamic efficiency and control stability in gusty winds while conserving battery. It maintains separation from other UAVs and avoids low-altitude turbulence near 20m. This mode leverages sensor fusion (LiDAR/radar) to navigate safely despite degraded GNSS and poor visibility. 2025-11-01T18:06:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/scenario_547_be929cc0767f_mcq.json,uavbench-mcq-v1,scenario_547,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,B,False,Two quadrotors operate in a 2 km × 2 km zone at up to 120 m AGL. How should they coordinate to ensure coverage and avoid collision?,"Mission type is unspecified but likely involves a standard quadrotor operation within a confined urban or test environment. The airspace is a 2 km × 2 km square polygon with a flat boundary, located in a flat terrain area. Maximum altitude is limited to 120 meters AGL, with a minimum of 0 meters, allowing low-altitude flight. No weather conditions are specified, implying calm and stable atmospheric conditions. The UAV is a quadrotor weighing 2.5 kg with a 220 Wh battery and a maximum speed of 15 m/s. It is equipped with a standard rotorcraft configuration and a disk area of 0.5 m². Payload details are not specified, suggesting a generic onboard sensor or camera. The area does not list a no-fly zone, but the geofence enforces strict boundary adherence. GNSS multipath is not explicitly mentioned, but urban-like boundaries",Fly identical paths with 5-second time separation,Share real-time GNSS data and adjust headings to maintain 50 m separation,"Alternate altitude layers: one at 40 m, other at 80 m",Follow same route but double speed to reduce overlap time,Use fixed 100 m spacing in a straight-line formation,Rely on visual avoidance without coordination,Transmit position updates every 10 seconds to save bandwidth,"[""Fly identical paths with 5-second time separation"", ""Share real-time GNSS data and adjust headings to maintain 50 m separation"", ""Alternate altitude layers: one at 40 m, other at 80 m"", ""Follow same route but double speed to reduce overlap time"", ""Use fixed 100 m spacing in a straight-line formation"", ""Rely on visual avoidance without coordination"", ""Transmit position updates every 10 seconds to save bandwidth""]","Real-time GNSS sharing enables dynamic collision avoidance and responsive path adjustment. It supports situational awareness and decentralized decision-making, critical in urban environments with potential signal occlusion. Other options either increase risk (F, G), reduce efficiency (A, D), or fail under dynamic conditions (C, E)." 2025-11-01T18:06:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/ship_deck_delivery_convertiplane_forest_hail_e9f8b41d085a_mcq.json,uavbench-mcq-v1,ship_deck_delivery_convertiplane_forest_hail,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,D,False,"With 10-minute endurance, 35 m/s max speed, and icing reducing performance 1 minute, how should energy be prioritized?","This is a delivery mission using a convertiplane UAV in a forested airspace. The UAV carries a standard payload and relies on battery power, with a maximum speed of 35 m/s and the ability to tilt rotors up to 90 degrees. The environment features strong and increasing winds with gusts, poor visibility, and active hail, creating hazardous flying conditions. A thermal updraft is present near the center of the operational area, which may affect flight dynamics. GNSS signals suffer from multipath interference and moderate jamming, while electromagnetic interference further challenges navigation. The flight area is bounded by a polygonal geofence, with a static no-fly zone and a moving no-fly cylinder that shifts position during the mission. The UAV must avoid a dynamic traffic UAV and a moving spherical obstacle while maintaining minimum separation. The mission begins near the edge of the forest and requires landing on a runway-style site, with two emergency landing zones available. An icing event occurs mid-flight, reducing performance for one minute, and communication dropouts are expected at two intervals. The UAV must complete its waypoint corridor within 10 minutes while managing battery reserves and adhering to strict altitude and separation constraints.",Climb to max altitude for better GNSS signal,Fly direct at top speed through hail zone,Reduce rotor tilt angle to save battery power,Use thermal updraft to gain altitude efficiently,Activate high-power comms during dropout windows,Circle to wait for wind gusts to subside,Increase payload power for improved sensor clarity,"[""Climb to max altitude for better GNSS signal"", ""Fly direct at top speed through hail zone"", ""Reduce rotor tilt angle to save battery power"", ""Use thermal updraft to gain altitude efficiently"", ""Activate high-power comms during dropout windows"", ""Circle to wait for wind gusts to subside"", ""Increase payload power for improved sensor clarity""]",Exploiting the thermal updraft conserves battery by reducing climb power needs while maintaining progress. It balances altitude gain with energy efficiency under wind and icing. Other options waste energy or increase risk without compensatory benefits. 2025-11-01T18:06:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/satellite_link_relay_urban_fog_swarm_a227470ab50c_mcq.json,uavbench-mcq-v1,satellite_link_relay_urban_fog_swarm,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,A,False,"At 110m AGL in fog, winds 9 m/s, and GNSS degradation, one drone lags due to battery drain. What action prioritizes safety and mission?","This mission involves a UAV swarm performing a satellite link relay in an urban canyon environment. The airspace is constrained between 10 and 120 meters AGL with a static no-fly cylinder and a moving no-fly zone. Poor visibility due to fog and strong, gusty winds up to 9 m/s at higher altitudes challenge flight operations. The swarm consists of four battery-powered octocopter drones equipped with RGB cameras, LiDAR, and GNSS/IMU navigation. Each drone carries a communication relay payload and operates under significant GNSS multipath and moderate jamming. The mission requires navigating a corridor pattern through waypoints while maintaining inter-swarm separation of at least 10 meters. Dynamic obstacles and a single non-cooperative UAV add complexity to path planning. Communication includes periodic downlink outages and limited uplink capability. Energy management is critical due to high power consumption from hovering and drag in windy conditions. The scenario emphasizes robust navigation, swarm coordination, and reliable data relaying despite environmental and RF challenges.",Descend to 15m AGL to reduce wind exposure and conserve power,"Exit swarm, land immediately in nearest urban open area","Increase speed to catch up, accepting higher power use",Climb to 125m AGL for better GNSS and relay signal,"Broadcast distress, request emergency override of no-fly zone",Jettison payload to reduce load and extend flight time,Maintain formation using full throttle despite low battery,"[""Descend to 15m AGL to reduce wind exposure and conserve power"", ""Exit swarm, land immediately in nearest urban open area"", ""Increase speed to catch up, accepting higher power use"", ""Climb to 125m AGL for better GNSS and relay signal"", ""Broadcast distress, request emergency override of no-fly zone"", ""Jettison payload to reduce load and extend flight time"", ""Maintain formation using full throttle despite low battery""]","Descending to 15m AGL stays within the legal 10–120m corridor, reduces wind impact and power use, and avoids endangering civilians by preventing uncontrolled descent. Other options violate altitude limits, abandon mission coordination, or risk public safety through unauthorized landings or payload drops in urban areas." 2025-11-01T18:06:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/ship_deck_delivery_fixed_wing_crosswind_f1e91080d0bf_mcq.json,uavbench-mcq-v1,ship_deck_delivery_fixed_wing_crosswind,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,G,False,"UAV faces GNSS spoofing near ship; crosswinds and traffic require stable control. 25-meter separation, 30% battery reserve.","Fixed-wing UAV conducts delivery mission within a powerline corridor near a ship deck. Operating in moderate to strong crosswinds blowing from the west, with wind increasing and shifting direction with altitude. UAV is equipped with GNSS, IMU, camera, and other standard sensors but no LiDAR or radar. Flight occurs between 10 and 120 meters AGL, constrained by a polygonal geofence and a cylindrical no-fly zone mid-corridor. A moving spherical obstacle descends through the airspace, adding dynamic risk. Mission requires use of a runway aligned east-west for both takeoff and landing. Traffic includes another UAV approaching head-on from the south. GNSS multipath effects may occur due to proximity to ship structures and powerlines. Battery endurance is limited, with 30% reserve required for safe return. Strict separation standards are enforced, with 25-meter minimum proximity and 20-second time-to-closest-approach threshold.",Trust GNSS fully; maintain current course and speed,Switch to IMU-camera fusion with visual obstacle tracking,Descend to 10 meters AGL to avoid wind shear,Transmit unencrypted telemetry for faster ground response,Accept unverified heading correction from ATC link,Override autopilot to manual control via unauthenticated RC,Use encrypted GNSS with integrity checks and wind-adaptive control,"[""Trust GNSS fully; maintain current course and speed"", ""Switch to IMU-camera fusion with visual obstacle tracking"", ""Descend to 10 meters AGL to avoid wind shear"", ""Transmit unencrypted telemetry for faster ground response"", ""Accept unverified heading correction from ATC link"", ""Override autopilot to manual control via unauthenticated RC"", ""Use encrypted GNSS with integrity checks and wind-adaptive control""]","G ensures data integrity via encrypted GNSS checks and maintains control stability under wind and cyber threats. It enables intrusion detection and resilient navigation, preserving separation and mission continuity. Other options bypass authentication, reduce situational awareness, or increase vulnerability to spoofing and loss of control." 2025-11-01T18:06:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/ship_deck_delivery_forest_cold_5bf4a961d7b6_mcq.json,uavbench-mcq-v1,ship_deck_delivery_forest_cold,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which UAV configuration best handles icing, GNSS degradation, and 25 m DAA separation with 1.0 kg payload and 30% reserve?","The mission is a delivery operation conducted in a forested environment with cold weather conditions including snowfall and icing. The UAV is a hexacopter equipped with a 1.0 kg payload and carries sensors including GNSS, IMU, lidar, RGB and thermal cameras. It operates within a defined airspace from 10 to 120 meters AGL, bounded by a polygonal geofence and two no-fly zones—one static and one moving. Weather features strong winds up to 10 m/s with gusts, wind shear, and thermal updrafts, compounding challenges posed by icing conditions. GNSS signals suffer from multipath effects and moderate jamming, while electromagnetic interference affects reliability. The UAV must avoid a moving obstacle and another UAV on a crossing path, maintaining at least 25 meters separation to avoid DAA breaches. Battery endurance is limited, with a reserve of 30% required, and communication experiences brief dropouts during the flight. An icing event fault occurs mid-mission, reducing performance for one minute, increasing power demand and control difficulty. The route follows a corridor pattern through four waypoints ending at a preferred landing site on a ship deck.",Monocopter with minimal sensors and no redundancy,Quadcopter with GNSS-only navigation and no thermal camera,"Fixed-wing with lidar and RGB, limited hover capability",Hexacopter with GNSS/IMU/lidar fusion and thermal awareness,"Octocopter with dual batteries, high power draw in cold",Hexacopter using only RGB for obstacle avoidance in snow,VTOL with extended range but delayed response to gusts,"[""Monocopter with minimal sensors and no redundancy"", ""Quadcopter with GNSS-only navigation and no thermal camera"", ""Fixed-wing with lidar and RGB, limited hover capability"", ""Hexacopter with GNSS/IMU/lidar fusion and thermal awareness"", ""Octocopter with dual batteries, high power draw in cold"", ""Hexacopter using only RGB for obstacle avoidance in snow"", ""VTOL with extended range but delayed response to gusts""]","The hexacopter with sensor fusion (GNSS/IMU/lidar) maintains navigation accuracy despite GNSS multipath and jamming. Thermal awareness aids in detecting moving obstacles in snow, and lidar enables precise DAA compliance. It balances redundancy, energy use, and fault tolerance during the one-minute icing event better than alternatives." 2025-11-01T18:06:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/satellite_link_relay_bridge_site_cold_26649999fad8_mcq.json,uavbench-mcq-v1,satellite_link_relay_bridge_site_cold,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"At 190s, icing begins and a 450s comms outage is expected. Wind is 12 m/s at 100m. How should the UAV respond?","This is a relay mission using an octocopter UAV equipped with RGB and thermal cameras, operating at a bridge construction site. The airspace is confined to a 400m × 300m polygon with a minimum altitude of 10m AGL and a maximum of 150m AGL. Winds are strong, ranging from 8 m/s at ground level to 12 m/s at 100m altitude, with gusts up to 4 m/s and a westerly direction that shifts slightly with height. Icing conditions are present and a simulated icing event reduces performance between 200 and 260 seconds into the flight. The UAV must avoid two no-fly zones: one static cylinder near the center and one dynamic cylinder moving westward at 1.5 m/s. GNSS multipath and electromagnetic interference degrade navigation accuracy, and brief communication outages occur at 180 and 450 seconds. The UAV follows a corridor of waypoints to extend a communication link, balancing battery reserves while maintaining separation from a moving obstacle and an intruder UAV. Thermal updrafts near the site offer potential lift, but icing and wind increase energy consumption. The mission must be completed within 600 seconds and requires safe return to a preferred landing site unless an emergency arises. Constraints include strict separation thresholds, geofence compliance, and maintaining sufficient battery with a 30% reserve.",Climb to 140m AGL for stronger thermal updrafts,Descend to 20m AGL to reduce wind and icing exposure,Maintain current altitude and speed to stay on schedule,Divert immediately to alternate landing site east,Accelerate to clear dynamic NFZ before 300s,Enter loiter mode at 100m until comms restore,Descend to 50m AGL and slow to conserve battery,"[""Climb to 140m AGL for stronger thermal updrafts"", ""Descend to 20m AGL to reduce wind and icing exposure"", ""Maintain current altitude and speed to stay on schedule"", ""Divert immediately to alternate landing site east"", ""Accelerate to clear dynamic NFZ before 300s"", ""Enter loiter mode at 100m until comms restore"", ""Descend to 50m AGL and slow to conserve battery""]","Descending to 20m AGL reduces exposure to high winds and severe icing between 100–150m, improving control and energy efficiency. It maintains separation from NFZs and geofence while preserving battery for the 450s comms outage. Other options increase icing risk, waste energy, or delay emergency response." 2025-11-01T18:06:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/ship_deck_delivery_hot_urban_fc161b261418_mcq.json,uavbench-mcq-v1,ship_deck_delivery_hot_urban,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,F,False,"With 8.5 m/s winds from 210° and GNSS multipath in urban airspace, how should navigation adapt during approach?","This is a heavy-lift UAV delivery mission in dense urban airspace. The UAV operates within a defined 200m x 150m geofenced area, flying between 10m and 120m AGL. Weather includes strong winds at 8.5 m/s from 210° with gusts up to 4.5 m/s, though visibility is good. The UAV carries a 12kg payload and relies on battery power with a reserve fraction of 30%. It is equipped with GNSS, IMU, lidar, and RGB camera for navigation and situational awareness. A static no-fly zone cylinder blocks airspace near the center, while a dynamic no-fly zone moves through the area. Another UAV and a moving spherical obstacle create dynamic traffic challenges. The mission requires navigating a corridor pattern through four waypoints to deliver cargo to a ship deck-like landing site. GNSS multipath effects are likely due to urban structures, and strict separation (25m) and time-to-closest approach (15s) thresholds apply. The UAV must complete the mission within 600 seconds while avoiding collisions, geofence breaches, and altitude violations.",Prioritize GNSS due to good visibility and static waypoints,Switch fully to IMU during gusts to avoid signal noise,Use lidar-RGB fusion for obstacle detection in corridor,Rely on GNSS-IMU only; lidar is affected by wind drift,Disable camera to reduce processing lag in dynamic zones,Fuse IMU with lidar when GNSS multipath degrades signal,Trust dynamic obstacle data from GNSS alone for spacing,"[""Prioritize GNSS due to good visibility and static waypoints"", ""Switch fully to IMU during gusts to avoid signal noise"", ""Use lidar-RGB fusion for obstacle detection in corridor"", ""Rely on GNSS-IMU only; lidar is affected by wind drift"", ""Disable camera to reduce processing lag in dynamic zones"", ""Fuse IMU with lidar when GNSS multipath degrades signal"", ""Trust dynamic obstacle data from GNSS alone for spacing""]","GNSS multipath in urban areas introduces positional drift, making pure GNSS unreliable. IMU-lidar fusion provides high-rate state estimation immune to RF interference and maintains accuracy during gusts. This combination ensures robust navigation within tight corridors and near dynamic obstacles." 2025-11-01T18:06:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/ship_deck_delivery_hexacopter_fog_97c1c98bb365_mcq.json,uavbench-mcq-v1,ship_deck_delivery_hexacopter_fog,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,B,False,"At 240s, icing reduces performance for 120s while a moving no-fly cylinder drifts southwest at 3 m/s; wind gusts reach 9 m/s at 50 m AGL.","This scenario involves a delivery mission using a hexacopter UAV in dense urban airspace. The UAV is equipped with lidar, RGB camera, and standard navigation sensors, carrying a 1.2 kg payload. It operates under poor visibility due to fog and faces icing conditions during flight. Wind speeds increase with altitude, reaching 9 m/s at 50 m, and gusts add turbulence. The flight must avoid a static no-fly zone and a moving no-fly cylinder drifting southwest. A second UAV and a moving spherical obstacle create dynamic collision risks. GNSS multipath and electromagnetic interference degrade navigation accuracy. An icing fault reduces performance for 120 seconds starting at 240 seconds into the mission. Communication experiences brief downlink losses, and strict separation thresholds must be maintained to avoid DAA breaches.","Descend to 30 m AGL, continue direct route","Climb to 60 m AGL, bypass cylinder north",Hold hover at current position for 120 s,"Deviate east, maintain 50 m AGL, delay W3",Accelerate through cylinder zone before drift,"Reroute south, fly at 40 m AGL, avoid gusts","Bank sharply, cut through cylinder edge","[""Descend to 30 m AGL, continue direct route"", ""Climb to 60 m AGL, bypass cylinder north"", ""Hold hover at current position for 120 s"", ""Deviate east, maintain 50 m AGL, delay W3"", ""Accelerate through cylinder zone before drift"", ""Reroute south, fly at 40 m AGL, avoid gusts"", ""Bank sharply, cut through cylinder edge""]","Climbing to 60 m avoids the drifting cylinder and maintains separation from gust-prone lower altitudes. It preserves forward progress despite icing, uses lidar for obstacle tracking, and mitigates GNSS drift with altitude margin while optimizing re-route time." 2025-11-01T18:06:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/ship_deck_delivery_swarm_hail_fb65f1799f06_mcq.json,uavbench-mcq-v1,ship_deck_delivery_swarm_hail,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,Which UAV configuration best maintains swarm separation and navigation during 30-second GNSS jamming at 180s with 0.5 kg payload and lidar?,"This scenario involves a delivery mission using a swarm of four UAVs in suburban airspace. The operation takes place within a defined geofenced area with a cylindrical no-fly zone near the center. Weather conditions include strong winds from 240 degrees, gusts, poor visibility, and active hail, increasing flight difficulty. Each UAV is a rotorcraft with a six-rotor configuration, carrying a 0.5 kg payload and equipped with GNSS, IMU, camera, lidar, and other standard sensors. The swarm must navigate a corridor pattern through three waypoints while maintaining minimum separation of 8 meters between drones. A moving spherical obstacle drifts through the environment, requiring dynamic avoidance. The mission must be completed within 600 seconds, with a landing site preferred at the southeast corner. GNSS jamming occurs at 180 seconds, degrading positioning for 30 seconds, challenging navigation reliability. Communication experiences brief downlink losses, and the system must uphold separation assurance with a 25-meter threshold to avoid DAA breaches.",Six-rotor with GNSS-only backup and no lidar relocalization,Six-rotor using lidar-inertial fusion during jamming,Quad-rotor with extended battery for longer endurance,Fixed-wing with high speed but poor hover stability,Six-rotor relying solely on camera-based obstacle avoidance,Redundant GNSS receivers without sensor fusion,Single-IMU system with no cross-swarm communication,"[""Six-rotor with GNSS-only backup and no lidar relocalization"", ""Six-rotor using lidar-inertial fusion during jamming"", ""Quad-rotor with extended battery for longer endurance"", ""Fixed-wing with high speed but poor hover stability"", ""Six-rotor relying solely on camera-based obstacle avoidance"", ""Redundant GNSS receivers without sensor fusion"", ""Single-IMU system with no cross-swarm communication""]","Lidar-inertial fusion provides robust positioning during GNSS outages, ensuring navigation accuracy and separation. The six-rotor design supports payload and stability, while sensor fusion enhances fault tolerance. Other options fail in adaptability, redundancy, or environmental robustness under jamming and hail." 2025-11-01T18:06:06Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/scenario_455_582b79c976a5_mcq.json,uavbench-mcq-v1,scenario_455,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"In 120m altitude-limited urban flight with GNSS multipath and light wind, which navigation strategy ensures position integrity during hover?","The mission involves a quadrotor UAV conducting a standard flight operation within a defined urban airspace. The operational area is a 2 km by 2 km square polygon centered on the origin, located in a simulated urban environment. Altitude is restricted between 0 and 120 meters above ground level, adhering to low-altitude flight regulations. The UAV is equipped with a standard camera payload suitable for aerial imaging and navigation. Weather conditions include light wind and moderate visibility with no precipitation. No-fly zones (NFZs) are present around buildings and sensitive infrastructure within the airspace. GNSS signal multipath effects are significant due to surrounding tall structures, impacting positioning accuracy. The UAV must maintain safe separation from static obstacles and dynamic traffic, if present. Battery capacity limits flight endurance, requiring efficient path planning to preserve reserve power. The mission emphasizes stable hover and low-speed maneuvering despite aerodynamic disturbances.",Prioritize GNSS alone for absolute positioning accuracy,Rely solely on IMU during visual obscuration,"Fuse GNSS, IMU, and camera via EKF during hover",Use camera odometry only near reflective surfaces,Disable sensor fusion to reduce computational load,Trust LiDAR in all weather for obstacle avoidance,Switch to barometer-only altitude control in wind,"[""Prioritize GNSS alone for absolute positioning accuracy"", ""Rely solely on IMU during visual obscuration"", ""Fuse GNSS, IMU, and camera via EKF during hover"", ""Use camera odometry only near reflective surfaces"", ""Disable sensor fusion to reduce computational load"", ""Trust LiDAR in all weather for obstacle avoidance"", ""Switch to barometer-only altitude control in wind""]","GNSS suffers multipath in urban canyons, causing drift; IMU alone accumulates error rapidly. Fusing GNSS, IMU, and camera via EKF cross-validates data, maintains accuracy during hover, and mitigates environmental degradation by leveraging visual-inertial redundancy when GNSS is unreliable." 2025-11-01T18:06:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/scenario_479_ba290af7623a_mcq.json,uavbench-mcq-v1,scenario_479,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,C,False,A UAV operates in urban airspace with GNSS signal risks; altitude is capped at 120 m and battery reserve is 15%. What ensures resilient navigation and control?,"The mission involves a quadrotor UAV conducting operations within a defined urban airspace. The operational area is a 2 km by 2 km square polygon centered on the origin. Flight altitude is restricted between 0 and 120 meters above ground level. No specific weather conditions are modeled in this scenario. The UAV is a quadrotor with a mass of 2.5 kg and a 220 Wh battery. It carries a standard payload appropriate for general sensing or imaging. Maximum speed is 15 m/s with a maximum tilt angle of 30 degrees. A 15% battery reserve is required for safe return. The airspace includes no-fly zones defined by the geofence boundaries. GNSS multipath and signal obstruction may occur due to urban structures.",Use GNSS exclusively; ignore signal anomalies to maintain continuity,Disable encryption to reduce latency in control signal transmission,"Authenticate commands and fuse IMU, barometer, and vision for positioning",Transmit telemetry unencrypted for faster ground station response,Rely solely on pre-programmed path without real-time sensor updates,Increase tilt angle beyond 30° to compensate for positioning errors,Accept all GNSS signals without integrity checks to avoid dropouts,"[""Use GNSS exclusively; ignore signal anomalies to maintain continuity"", ""Disable encryption to reduce latency in control signal transmission"", ""Authenticate commands and fuse IMU, barometer, and vision for positioning"", ""Transmit telemetry unencrypted for faster ground station response"", ""Rely solely on pre-programmed path without real-time sensor updates"", ""Increase tilt angle beyond 30° to compensate for positioning errors"", ""Accept all GNSS signals without integrity checks to avoid dropouts""]","C ensures data integrity and availability by authenticating commands and using multi-sensor fusion, which mitigates GNSS spoofing and urban signal loss. It maintains control stability within physical limits, enabling fallback during obstructions. Other options compromise security, resilience, or vehicle constraints." 2025-11-01T18:06:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/rural_touch_and_go_octocopter_hail_38b7ac900d6c_mcq.json,uavbench-mcq-v1,rural_touch_and_go_octocopter_hail,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 300s, GNSS jamming starts with 8.5 m/s winds from 240°; how should navigation adapt using sensor fusion?","This scenario involves a touch-and-go mission using an octocopter UAV in rural airspace. The UAV is equipped with a battery-powered propulsion system and carries a payload with RGB camera and LiDAR sensors. It operates under challenging weather conditions including hail and strong winds from 240 degrees at 8.5 m/s with gusts up to 4.2 m/s. The flight is restricted to altitudes between 10 and 120 meters AGL within a defined polygonal geofence. A cylindrical no-fly zone is located at the center of the area, extending from 10 to 80 meters in altitude with a 30-meter radius. The mission follows a corridor pattern with predefined waypoints leading to a runway touch-and-go maneuver near coordinates (450, 150). A second UAV is present in the airspace, moving eastward at 15 m/s, requiring separation management. The UAV must maintain a minimum separation of 25 meters and a time-to-closest-approach threshold of 15 seconds to avoid conflicts. Two faults are introduced: a partial motor failure at 120 seconds and GNSS jamming at 300 seconds lasting 20 seconds. Communication experiences brief downlink losses between 180–190 and 400–420 seconds, adding operational risk.",Switch entirely to LiDAR point cloud tracking for position hold,Rely on GNSS with IMU smoothing despite jamming,Use visual-inertial odometry with LiDAR altimeter backup,Descend immediately using barometer-only altitude control,Freeze last GNSS position and drift with IMU only,Follow wind vector to reduce propeller load and save battery,Navigate via magnetic heading using compass and IMU yaw,"[""Switch entirely to LiDAR point cloud tracking for position hold"", ""Rely on GNSS with IMU smoothing despite jamming"", ""Use visual-inertial odometry with LiDAR altimeter backup"", ""Descend immediately using barometer-only altitude control"", ""Freeze last GNSS position and drift with IMU only"", ""Follow wind vector to reduce propeller load and save battery"", ""Navigate via magnetic heading using compass and IMU yaw""]","During GNSS jamming, visual-inertial odometry provides robust position estimation by fusing camera and IMU data, while LiDAR enhances altitude reliability under wind-induced vibrations. This approach mitigates drift and maintains geofence compliance. Other options fail due to sensor drift, environmental interference, or lack of redundancy." 2025-11-01T18:06:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/ship_deck_delivery_harbor_dust_a0c6303f7236_mcq.json,uavbench-mcq-v1,ship_deck_delivery_harbor_dust,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,A,False,"At 550 m AGL, wind hits 14 m/s with GNSS at -85 dBm; how should the UAV respond to maintain mission integrity?","This is a delivery mission using a high-altitude pseudo-satellite UAV equipped with radar, RGB camera, and GNSS/IMU navigation in a harbor environment. The UAV operates within a defined airspace corridor between 50 and 600 meters AGL, bounded by static and moving no-fly zones. Wind speeds increase with altitude, reaching 14 m/s from the west-northwest, with gusts and poor visibility due to dust. GNSS signals are degraded by jamming at -85 dBm and electromagnetic interference, increasing navigation risk. The UAV must avoid a dynamic no-fly zone moving southwest and a drifting spherical obstacle near the flight path. It carries a 5 kg payload and must complete its route within 600 seconds while maintaining separation from other air traffic. Communication links experience brief outages between 120–130 and 450–460 seconds, requiring resilient control. Battery capacity is limited, with 30% reserved for safety, and hover power is high due to size and design. The mission ends with a precision landing on a ship deck, requiring accurate navigation despite wind shear and sensor challenges. Success depends on adhering to altitude, geofence, and separation constraints throughout the flight.",Descend to 400 m AGL and reduce speed to conserve battery,Climb to 600 m AGL for smoother airflow above turbulence,Hold altitude and engage full redundancy in navigation filter,Descend to 60 m AGL and proceed at maximum forward speed,"Divert west to avoid dust, increasing crosswind component",Hover until communication restores at 130 seconds,Accelerate through obstacle zone to minimize exposure time,"[""Descend to 400 m AGL and reduce speed to conserve battery"", ""Climb to 600 m AGL for smoother airflow above turbulence"", ""Hold altitude and engage full redundancy in navigation filter"", ""Descend to 60 m AGL and proceed at maximum forward speed"", ""Divert west to avoid dust, increasing crosswind component"", ""Hover until communication restores at 130 seconds"", ""Accelerate through obstacle zone to minimize exposure time""]","Descending to 400 m AGL reduces wind exposure and conserves battery while staying within the 50–600 m corridor. It avoids the high navigation risk at 550 m AGL with degraded GNSS and strong winds. Other options either increase drift risk, violate endurance, or exacerbate sensor degradation." 2025-11-01T18:06:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/ship_deck_delivery_hexacopter_volcanic_hail_19a9e9b3579b_mcq.json,uavbench-mcq-v1,ship_deck_delivery_hexacopter_volcanic_hail,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which UAV configuration best ensures mission success with 1.2 kg payload, 8.5 m/s winds, and 30% battery reserve?","This is a delivery mission using a hexacopter UAV in a volcanic zone with hazardous hail and poor visibility. The UAV operates within a defined airspace polygon, flying between 5 and 120 meters AGL. Weather includes strong 8.5 m/s winds from 240 degrees with gusts up to 4.2 m/s, increasing flight difficulty. The hexacopter carries a 1.2 kg payload with RGB camera imaging capability and relies on GNSS, IMU, and barometer for navigation. A static no-fly zone blocks a central cylinder from 10 to 60 meters altitude, and a dynamic no-fly zone moves slowly through the area. The UAV must avoid a drifting spherical obstacle and maintain separation from another UAV traveling westward. Communication experiences brief loss windows at 120–130 and 450–465 seconds, with minimum RSSI at -85 dBm. The mission requires adherence to DAA thresholds of 25 meters separation and 15 seconds time-to-closest approach. Battery reserve is set to 30%, and the entire mission must complete within 600 seconds.",Quadcopter with lighter frame and reduced redundancy,Hexacopter with dual IMUs and GNSS-RTK,Octocopter with higher payload and power use,Fixed-wing UAV with glide recovery capability,Hexacopter with single IMU and no wind compensation,Quadcopter optimized for speed and minimal drag,VTOL with hybrid transition and added complexity,"[""Quadcopter with lighter frame and reduced redundancy"", ""Hexacopter with dual IMUs and GNSS-RTK"", ""Octocopter with higher payload and power use"", ""Fixed-wing UAV with glide recovery capability"", ""Hexacopter with single IMU and no wind compensation"", ""Quadcopter optimized for speed and minimal drag"", ""VTOL with hybrid transition and added complexity""]","The hexacopter with dual IMUs and GNSS-RTK improves fault tolerance and positioning accuracy under GNSS interference and strong winds. It maintains required 1.2 kg payload and redundancy without excessive power draw. Other options sacrifice reliability, adaptability, or efficiency under dynamic obstacles and communication loss." 2025-11-01T18:06:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/ship_deck_delivery_convertiplane_hail_6969507beb6b_mcq.json,uavbench-mcq-v1,ship_deck_delivery_convertiplane_hail,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 230s, UAV faces 12 m/s winds, poor visibility, and impending GNSS jamming at 240s inside multipath-heavy urban terrain.","This scenario involves a delivery mission using a convertiplane UAV in dense urban airspace. The UAV operates between 5 and 120 meters AGL within a defined polygonal geofence. Weather conditions include strong winds up to 12 m/s, gusts, poor visibility, and active hail. The UAV is equipped with a 2 kg payload and carries sensors including GNSS, IMU, lidar, radar, and RGB camera. Notable constraints include a static no-fly zone near the center and a moving no-fly zone drifting at 2.5 m/s. There is significant GNSS multipath, interference, and a scheduled GNSS jamming fault at 240 seconds. The mission requires runway use and includes a transition from vertical to forward flight. A second UAV and a moving spherical obstacle add traffic complexity. Icing conditions occur at 400 seconds, affecting aerodynamics. The mission must be completed within 600 seconds while maintaining separation and avoiding faults.",Climb to 120m AGL immediately to avoid jamming and improve GNSS signal,Descend to 5m AGL and hover until after 240s to minimize wind exposure,"Transition to forward flight now using lidar and INS, heading toward nearest runway",Divert around static NFZ at 60m AGL using radar for obstacle detection,Accelerate through center to exit multipath zone before GNSS fault at 240s,"Enter holding pattern at 40m AGL, relying on GNSS until jamming begins",Descend and land immediately outside geofence due to hail and visibility,"[""Climb to 120m AGL immediately to avoid jamming and improve GNSS signal"", ""Descend to 5m AGL and hover until after 240s to minimize wind exposure"", ""Transition to forward flight now using lidar and INS, heading toward nearest runway"", ""Divert around static NFZ at 60m AGL using radar for obstacle detection"", ""Accelerate through center to exit multipath zone before GNSS fault at 240s"", ""Enter holding pattern at 40m AGL, relying on GNSS until jamming begins"", ""Descend and land immediately outside geofence due to hail and visibility""]","The correct choice anticipates GNSS failure at 240s and reduces reliance on GNSS by transitioning early to sensor fusion (lidar/INS) for runway approach. It maintains safe AGL altitude, avoids the static NFZ, and positions for timely mission completion under icing at 400s. Other options either risk GNSS dependence, increase exposure to jamming/multipath, violate geofence, or unnecessarily abort." 2025-11-01T18:06:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/ship_deck_delivery_jungle_thermal_updrafts_906fd1ae82f9_mcq.json,uavbench-mcq-v1,ship_deck_delivery_jungle_thermal_updrafts,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"Which route navigates four waypoints, avoids NFZ at (500,500), and lands on ship within 600 s under GNSS drift and wind?","This is a delivery mission in a dense jungle environment using a hexacopter UAV equipped with RGB and thermal cameras. The flight occurs within a defined polygonal airspace bounded between 5 and 120 meters AGL. Two static no-fly zones are present, one centered at (500, 500) with a 40-meter radius and another dynamic cylinder moving near (600, 300). The hexacopter carries a 0.5 kg payload and operates under moderate wind of 6.5 m/s from 120 degrees, with gusts up to 3.2 m/s. Thermal updrafts of up to 2.1 m/s create vertical air disturbances at two locations, affecting stability. GNSS signals experience multipath interference and moderate jamming at -85 dBm, compounded by general electromagnetic interference. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV on a fixed path. Communication experiences two brief downlink loss windows, and signal strength may drop to -92 dBm. Battery reserves are set at 30%, and energy consumption is modeled with hover power at 96.1 W. The mission must be completed within 600 seconds, navigating through a corridor of four waypoints to deliver to a ship deck landing site.","Climb to 110 m AGL, direct to W3 via (500,500) edge","Fly straight at 60 m AGL, adjust heading for wind drift",Descend to 10 m AGL near thermal updrafts to save energy,"Reroute east of dynamic obstacle, maintain 85 m AGL",Hover 30 s at W2 to stabilize under signal loss,Cut between NFZ and moving sphere at 45 m AGL,Accelerate through jamming zone at 120 m AGL despite gusts,"[""Climb to 110 m AGL, direct to W3 via (500,500) edge"", ""Fly straight at 60 m AGL, adjust heading for wind drift"", ""Descend to 10 m AGL near thermal updrafts to save energy"", ""Reroute east of dynamic obstacle, maintain 85 m AGL"", ""Hover 30 s at W2 to stabilize under signal loss"", ""Cut between NFZ and moving sphere at 45 m AGL"", ""Accelerate through jamming zone at 120 m AGL despite gusts""]","Option D avoids both static and dynamic obstacles while maintaining optimal AGL for GNSS stability and wind resistance. It accounts for lateral re-routing without excessive energy use or time delay. Other choices violate NFZ, reduce signal reliability, or increase risk during communication dropouts." 2025-11-01T18:06:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/solar_wing_disaster_recon_industrial_plant_d202eb711ba2_mcq.json,uavbench-mcq-v1,solar_wing_disaster_recon_industrial_plant,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 580s, UAV detects crossing UAV 30m away at 120m AGL, wind 8m/s from 240°—what action prioritizes safety?","This is a disaster reconnaissance inspection mission at an industrial plant using a solar-powered fixed-wing UAV equipped with RGB and thermal cameras. The flight occurs within a defined polygonal airspace bounded between 20 and 150 meters AGL. Winds are from 240° at 8 m/s with gusts up to 4 m/s, and environmental conditions include high temperatures and thermal updrafts near structures. The UAV must avoid a cylindrical no-fly zone centered at (100, 100) with a 15-meter radius and vertical limits from 20 to 80 meters. GNSS signals are degraded due to multipath effects, and electromagnetic interference is present, challenging navigation accuracy. The mission follows a corridor pattern with five waypoints, requiring use of a designated runway for takeoff and landing. Air traffic includes a crossing UAV approaching from outside the geofence, necessitating separation monitoring. A moving spherical obstacle travels westward at 5 m/s near one segment of the route. The UAV must complete the mission within 600 seconds while maintaining battery reserves and avoiding stalls or collisions.",Continue mission; maintain current heading and altitude,Climb to 140m AGL to avoid potential collision,Descend to 25m AGL despite thermal updraft risks,Abort mission and land immediately at the runway,Divert east bypassing no-fly zone at 100m AGL,Hover in place to reassess navigation despite low GNSS,Execute lateral offset maneuver maintaining 20–150m AGL,"[""Continue mission; maintain current heading and altitude"", ""Climb to 140m AGL to avoid potential collision"", ""Descend to 25m AGL despite thermal updraft risks"", ""Abort mission and land immediately at the runway"", ""Divert east bypassing no-fly zone at 100m AGL"", ""Hover in place to reassess navigation despite low GNSS"", ""Execute lateral offset maneuver maintaining 20–150m AGL""]","The UAV must avoid collision while staying within operational and legal altitude bounds. G respects geofence, maintains separation, and minimizes risk to both UAVs. Other options violate safety, airspace, or navigation constraints under degraded conditions." 2025-11-01T18:06:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/solar_wing_icing_inspection_c1438bfa2c54_mcq.json,uavbench-mcq-v1,solar_wing_icing_inspection,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"UAV faces icing, 15 m/s winds, and a moving obstacle 200m from runway. What action prioritizes safety and legality?","Solar-powered fixed-wing UAV conducts bridge inspection in poor visibility with icing conditions. Operating near a runway within a defined 1000m x 800m geofenced area with minimum 10m AGL altitude. Strong winds up to 15 m/s increase with altitude and shift direction, posing flight challenges. UAV equipped with RGB and thermal cameras for structural inspection under low visibility. Flight constrained by static and moving no-fly zones, including a dynamic obstacle near the route. GNSS signals experience multipath and moderate jamming, affecting navigation accuracy. Icing event occurs mid-mission, reducing aerodynamic performance for three minutes. Traffic from another UAV and a moving spherical obstacle require real-time separation. Communication experiences brief downlink outages, demanding resilient data handling. Mission requires runway-aligned takeoff and landing with strict separation and energy management.",Continue mission; use thermal camera to penetrate poor visibility,Descend to 5m AGL to reduce wind exposure and save energy,Abort mission and land immediately despite incomplete inspection,Fly above 1000m altitude to avoid obstacle and improve GNSS signal,Override geofence to reroute around dynamic obstacle quickly,Transmit stored data during downlink outage to maintain progress,Delay landing to await clearer GNSS signals for precision approach,"[""Continue mission; use thermal camera to penetrate poor visibility"", ""Descend to 5m AGL to reduce wind exposure and save energy"", ""Abort mission and land immediately despite incomplete inspection"", ""Fly above 1000m altitude to avoid obstacle and improve GNSS signal"", ""Override geofence to reroute around dynamic obstacle quickly"", ""Transmit stored data during downlink outage to maintain progress"", ""Delay landing to await clearer GNSS signals for precision approach""]","Icing and strong winds degrade flight safety, and proximity to runway demands strict separation. Continuing or modifying flight in degraded conditions risks collision or loss of control near critical infrastructure. Aborting ensures human safety, complies with airspace rules, and upholds ethical duty to minimize risk over mission completion." 2025-11-01T18:06:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/solar_wing_powerline_inspection_low_visibility_19efaf68fdc0_mcq.json,uavbench-mcq-v1,solar_wing_powerline_inspection_low_visibility,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 120s, icing begins and GNSS drops to -95 dBm. What action ensures control integrity and mission continuity?","Solar-powered fixed-wing UAV conducts powerline corridor inspection in poor visibility with icing conditions. Mission takes place in a defined rectangular airspace with a static no-fly zone and a moving no-fly cylinder. UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Challenging weather includes 8 m/s winds from 240°, gusts up to 4.5 m/s, and vertical wind shear with altitude. Icing conditions are present, with a simulated icing event occurring at 120 seconds into the flight. GNSS signals are degraded due to multipath effects and mild jamming at -95 dBm. Electromagnetic interference and periodic comms loss affect data downlink during flight. A single intruder UAV and a moving spherical obstacle add collision avoidance complexity. DAA system enforces 25-meter separation and 30-second time-to-closest-approach thresholds. Flight must complete within 600 seconds while maintaining battery reserve and avoiding airspace violations.",Switch to pre-planned inertial-LiDAR navigation with encrypted C2 link,Rely solely on degraded GNSS to maintain planned route,Increase camera frame rate to improve obstacle detection,Descend immediately to avoid icing and turbulence,Transmit unencrypted telemetry to confirm position,Disable DAA to reduce computational load,Hand over control to unauthenticated backup radio,"[""Switch to pre-planned inertial-LiDAR navigation with encrypted C2 link"", ""Rely solely on degraded GNSS to maintain planned route"", ""Increase camera frame rate to improve obstacle detection"", ""Descend immediately to avoid icing and turbulence"", ""Transmit unencrypted telemetry to confirm position"", ""Disable DAA to reduce computational load"", ""Hand over control to unauthenticated backup radio""]","A ensures control stability using sensor fusion when GNSS is compromised, preserves data integrity via encryption, and maintains cyber-physical resilience. It mitigates jamming and spoofing risks while supporting fail-safe navigation. Other options expose the UAV to spoofing, loss of separation, or unauthorized access." 2025-11-01T18:06:07Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/solar_wing_runway_touch_and_go_gusts_ab8fb7d2347d_mcq.json,uavbench-mcq-v1,solar_wing_runway_touch_and_go_gusts,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,A UAV must complete 5 touch-and-gos in 600s inside a 50m x 30m warehouse with a 3.0m no-fly zone and 6.0 m/s winds at 135°.,"This UAV mission is a runway touch-and-go operation conducted indoors within a warehouse environment. The aircraft operates in a confined airspace bounded by a 50m x 30m polygon with altitude limits from 1.0m to 15.0m AGL. Winds are moderate at 6.0 m/s with a 135° direction and significant gusts up to 4.5 m/s, posing challenges for low-altitude flight stability. The UAV is a solar wing type with fixed-wing aerodynamics, powered solely by an 800Wh battery, carrying a 0.5kg RGB camera payload. It is equipped with standard navigation sensors including GNSS, IMU, magnetometer, barometer, and RGB camera but lacks lidar or radar. A cylindrical no-fly zone of 3.0m radius centered at (25.0, 10.0) restricts flight path options, requiring careful maneuver planning. The runway is aligned to 135° with a threshold at (5.0, 15.0, 1.0), and the mission follows a corridor pattern with five waypoints simulating approach and departure. The UAV must maintain separation of at least 5.0m and avoid DAA breaches with a time-to-closest approach threshold of 5 seconds. GNSS multipath effects may occur due to the indoor setting, potentially degrading positioning accuracy near structures. The mission must be completed within 600 seconds while avoiding geofence breaches, altitude violations, and collisions.",Fly all approaches at 1.0m AGL to minimize altitude deviation,Approach each time from 315° to align with runway heading,Reduce speed to 8 m/s to ensure GNSS lock during turns,Maintain 15.0m altitude until final approach for safety margin,Use fixed 90° bank angles to standardize turn radius,Stagger descent timing by 60s to avoid DAA breaches,Coordinate with virtual leader to synchronize waypoints and spacing,"[""Fly all approaches at 1.0m AGL to minimize altitude deviation"", ""Approach each time from 315° to align with runway heading"", ""Reduce speed to 8 m/s to ensure GNSS lock during turns"", ""Maintain 15.0m altitude until final approach for safety margin"", ""Use fixed 90° bank angles to standardize turn radius"", ""Stagger descent timing by 60s to avoid DAA breaches"", ""Coordinate with virtual leader to synchronize waypoints and spacing""]","G ensures inter-agent situational awareness and timing synchronization, preventing DAA breaches and maintaining 5.0m separation. It enables adaptive path planning around the no-fly zone while preserving formation geometry. Other options violate energy, collision, or coordination constraints under wind and GNSS uncertainty." 2025-11-01T18:06:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/solar_wing_wind_turbine_inspection_rainy_suburban_f252cce86877_mcq.json,uavbench-mcq-v1,solar_wing_wind_turbine_inspection_rainy_suburban,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"Given GNSS degradation and 9.2 m/s winds at 100m, how should the UAV maintain position integrity during mid-flight icing?","This UAV mission involves inspecting wind turbines in a suburban area using a solar-wing fixed-wing drone equipped with RGB and thermal cameras. The flight operates within a defined polygonal airspace bounded between 10 and 120 meters AGL, with a no-fly zone near a restricted cylinder. Weather conditions include moderate rain, poor visibility, and icing risk, with winds increasing from 6.5 m/s at ground level to 9.2 m/s at 100 meters altitude. The UAV has a battery capacity of 850 Wh and carries a 0.8 kg payload, relying on GNSS, IMU, lidar, and other sensors for navigation. GNSS signals are degraded due to multipath effects and electromagnetic interference, with occasional communication dropouts. The mission follows a corridor pattern through five waypoints, requiring runway-assisted takeoff and landing, with separation monitoring from nearby UAV traffic. A moving spherical obstacle drifts through the airspace, and an icing event occurs mid-mission, reducing performance. Battery reserve is set at 30%, and the drone must avoid geofence breaches, stalls, and loss of separation within 25 meters or 15 seconds of collision time. Thermal updrafts are present near the center of the area, potentially affecting flight dynamics. The entire operation is constrained by time, weather, sensor reliability, and airspace rules.",Increase GNSS update frequency to 10 Hz for better tracking,Switch to IMU-lidar dead reckoning with integrity monitoring,Rely on unencrypted RTK corrections for higher precision,Trust all sensor inputs equally using a fixed fusion filter,Transmit unauthenticated control commands to adjust pitch,Disable intrusion detection to reduce processing latency,Use open Wi-Fi for real-time telemetry relay,"[""Increase GNSS update frequency to 10 Hz for better tracking"", ""Switch to IMU-lidar dead reckoning with integrity monitoring"", ""Rely on unencrypted RTK corrections for higher precision"", ""Trust all sensor inputs equally using a fixed fusion filter"", ""Transmit unauthenticated control commands to adjust pitch"", ""Disable intrusion detection to reduce processing latency"", ""Use open Wi-Fi for real-time telemetry relay""]","B ensures control stability by fusing trusted IMU and lidar data while excluding compromised GNSS. It maintains cyber-physical integrity through monitored dead reckoning, enabling safe navigation during jamming and icing. Other options either introduce unverified data, reduce security, or increase vulnerability to spoofing or denial." 2025-11-01T18:06:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/snowy_bridge_inspection_5c46e26456e8_mcq.json,uavbench-mcq-v1,snowy_bridge_inspection,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"Given 12 m/s crosswinds, mid-mission icing, and GNSS degradation, what action maximizes endurance while ensuring bridge inspection at 10–120 m AGL?","Fixed-wing solar-powered UAV conducts bridge inspection in snowy, icy conditions with strong crosswinds and poor visibility. Mission takes place over a restricted bridge site airspace with a defined geofence and altitude limits from 10 to 120 meters AGL. UAV is equipped with RGB camera payload for visual inspection and relies on GNSS, IMU, magnetometer, and barometer for navigation. Challenging weather includes 12 m/s winds from the west, gusts up to 6 m/s, snowfall, and in-flight icing conditions. A dynamic no-fly zone moves slowly through the airspace, requiring real-time avoidance, while a static NFZ blocks access to the central bridge area. GNSS signals are degraded due to multipath effects and moderate jamming at -85 dBm, with electromagnetic interference present. The UAV must follow a runway-assisted takeoff and landing pattern, flying a linear corridor along the bridge with four key waypoints. Encounters with a moving obstacle and opposing UAV traffic require strict separation monitoring using DAA thresholds. Mid-mission icing event at 120 seconds reduces aerodynamic performance for one minute, increasing stall risk. Communication dropouts occur briefly at 300 and 550 seconds, demanding resilient control and mission continuity.",Climb to 150 m to avoid icing and improve GNSS signal,Reduce camera frame rate to save power and stabilize in crosswind,Extend loiter time at each waypoint for redundant image capture,Increase airspeed to 25 m/s to minimize exposure to gusts,Switch to thermal imaging despite higher payload power draw,Descend below 10 m AGL to escape wind but risk terrain collision,Maintain full RGB resolution and default comms bandwidth throughout,"[""Climb to 150 m to avoid icing and improve GNSS signal"", ""Reduce camera frame rate to save power and stabilize in crosswind"", ""Extend loiter time at each waypoint for redundant image capture"", ""Increase airspeed to 25 m/s to minimize exposure to gusts"", ""Switch to thermal imaging despite higher payload power draw"", ""Descend below 10 m AGL to escape wind but risk terrain collision"", ""Maintain full RGB resolution and default comms bandwidth throughout""]","Reducing camera frame rate conserves power and reallocates energy for stability control during icing and turbulence. It maintains mission-critical imaging while adapting to GNSS degradation and wind disturbances. Other options either increase energy use, violate altitude limits, or extend exposure to hazards." 2025-11-01T18:06:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/ship_deck_delivery_vtol_tiltrotor_a0d7cd516fe3_mcq.json,uavbench-mcq-v1,ship_deck_delivery_vtol_tiltrotor,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,F,False,"With 30% battery reserve, 1.5 kg payload, and 8.5 m/s winds, which action maximizes delivery success under icing and GNSS degradation?","This is a delivery mission using a VTOL tiltrotor UAV in a wind farm environment. The UAV operates within a defined airspace bounded by a polygon geofence, with minimum and maximum altitudes of 5 and 120 meters AGL. Weather conditions include strong winds at 8.5 m/s from 240 degrees, increasing with altitude, poor visibility, and icing conditions. The UAV carries a 1.5 kg payload and is equipped with GNSS, IMU, camera, LiDAR, and other standard sensors, but faces GNSS multipath, jamming, and electromagnetic interference. A static no-fly zone and a moving dynamic no-fly zone challenge navigation, requiring strict separation from obstacles and other traffic. The mission includes four waypoints flown in a corridor pattern, ending at a designated landing site requiring runway alignment. The UAV must manage energy carefully, with a battery reserve of 30% and transition phases between hover and forward flight. An icing fault event occurs mid-mission, reducing performance for 45 seconds. Communication experiences brief loss windows, and a single traffic UAV moves through the airspace. Mission success depends on avoiding collisions, maintaining separation, and completing delivery within the time and battery limits.",Climb to 120 m for clearer GNSS signals,Descend to 10 m to reduce wind exposure,Proceed at full speed through the corridor,Hover until icing fault clears in 45 seconds,Shorten path by cutting between waypoints,Reduce LiDAR and camera power to save energy,Increase tiltrotor thrust for faster transit,"[""Climb to 120 m for clearer GNSS signals"", ""Descend to 10 m to reduce wind exposure"", ""Proceed at full speed through the corridor"", ""Hover until icing fault clears in 45 seconds"", ""Shorten path by cutting between waypoints"", ""Reduce LiDAR and camera power to save energy"", ""Increase tiltrotor thrust for faster transit""]","Reducing sensor power preserves energy without compromising navigation, as IMU and intermittent GNSS suffice under degraded conditions. It balances computation load and battery use, enabling safe completion within 30% reserve despite wind and icing." 2025-11-01T18:06:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/suburban_search_and_rescue_hexacopter_low_visibility_6a26fd5f72c4_mcq.json,uavbench-mcq-v1,suburban_search_and_rescue_hexacopter_low_visibility,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"Given GNSS degradation, icing reducing performance for 2 min, and 30% battery reserve, which action ensures resilient navigation and mission completion?","This scenario involves a search and rescue mission in a suburban airspace using a hexacopter UAV equipped with RGB and thermal cameras, LiDAR, and full sensor suite. The flight occurs under poor visibility due to fog and icing conditions, with moderate wind increasing with altitude and variable direction. The UAV must navigate within a defined geofenced area, respecting static and moving no-fly zones, including a dynamic obstacle drifting at 2.5 m/s. The hexacopter carries a 0.8 kg payload and operates on battery power with a 30% reserve requirement, limiting available energy. GNSS signals are degraded by multipath effects and interference, with occasional downlink loss and weak signal strength. The mission follows a spiral search pattern through five waypoints, requiring precise navigation despite wind and sensor challenges. A second UAV and a moving spherical obstacle introduce traffic and collision risks, demanding strict separation monitoring. An icing event occurs midway, reducing performance for two minutes, while thermal updrafts near the center may affect stability. The UAV must complete the mission within 15 minutes, avoid all airspace and NFZ violations, and return safely to its preferred landing site.",Rely solely on encrypted GNSS for positioning,Switch to vision-aided inertial navigation during GNSS loss,Disable telemetry encryption to reduce latency,Increase waypoint speed to conserve battery,Trust all LiDAR returns without spoofing validation,Override motor controls to counter icing manually,Transmit unauthenticated commands to save power,"[""Rely solely on encrypted GNSS for positioning"", ""Switch to vision-aided inertial navigation during GNSS loss"", ""Disable telemetry encryption to reduce latency"", ""Increase waypoint speed to conserve battery"", ""Trust all LiDAR returns without spoofing validation"", ""Override motor controls to counter icing manually"", ""Transmit unauthenticated commands to save power""]","B maintains navigation integrity by fusing inertial and vision data when GNSS is unreliable, preserving control stability during spoofing or jamming. It avoids cyber vulnerabilities like unencrypted or unauthenticated channels. This layered approach ensures safe flight under sensor and environmental stress." 2025-11-01T18:06:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/suburban_firefighting_drop_with_gusts_69dae960826c_mcq.json,uavbench-mcq-v1,suburban_firefighting_drop_with_gusts,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Given 8 m/s winds at 240°, a 10-minute corridor mission, and two no-fly zones, which strategy maximizes water delivery while ensuring return within battery endurance?","This is a firefighting drop mission in a suburban environment using an amphibious fixed-wing UAV equipped with RGB and thermal cameras for payload delivery. The UAV operates between 10 and 120 meters AGL within a defined 200x200 meter geofenced area. Winds are from 240 degrees at 8 m/s with gusts up to 4.5 m/s, requiring stable flight control. A static no-fly zone blocks the central area, while a second dynamic no-fly zone moves southwest at 2.5 m/s. The UAV must avoid a small moving spherical obstacle and maintain separation from oncoming traffic approaching from the east. Mission success requires completing a corridor pattern over four waypoints within 10 minutes, delivering water to fire zones. GNSS multipath may occur near buildings, and brief comms outages are expected between 120–130s and 400–415s. The UAV transitions between VTOL and forward flight, requiring runway-aligned takeoff and landing procedures. Battery endurance and strict separation thresholds (25m, 15s TTC) add operational constraints.",Fly direct paths at 120m AGL to minimize time and power use,Descend to 10m AGL throughout to reduce wind exposure and drag,Increase speed to 25 m/s to beat dynamic no-fly zone movement,Loiter 30s at each waypoint to ensure accurate thermal imaging,Use VTOL mode for entire mission to maintain precise positioning,Delay takeoff until dynamic no-fly zone exits the geofence,"Follow corridor at 60m AGL with adaptive airspeed, aligning with wind vector","[""Fly direct paths at 120m AGL to minimize time and power use"", ""Descend to 10m AGL throughout to reduce wind exposure and drag"", ""Increase speed to 25 m/s to beat dynamic no-fly zone movement"", ""Loiter 30s at each waypoint to ensure accurate thermal imaging"", ""Use VTOL mode for entire mission to maintain precise positioning"", ""Delay takeoff until dynamic no-fly zone exits the geofence"", ""Follow corridor at 60m AGL with adaptive airspeed, aligning with wind vector""]","Flying at 60m AGL balances wind resilience and obstacle clearance while adaptive airspeed reduces relative wind load from 240°, cutting power use. This optimizes battery-limited endurance under gusts and comms outages, ensuring mission completion and safe return. Other options either increase energy use, extend exposure, or risk violation of no-fly zones or separation thresholds." 2025-11-01T18:06:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/snowy_desert_heavy_lift_delivery_992036ac8842_mcq.json,uavbench-mcq-v1,snowy_desert_heavy_lift_delivery,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,E,False,"At 120s, GNSS fails for 45s with 4 m/s gusts; which action balances navigation, energy, and intruder separation?","This is a heavy-lift UAV delivery mission in a snowy desert environment with poor visibility due to snowfall and moderate winds from the southwest. The UAV operates within a defined polygonal airspace with altitude limits between 10 and 150 meters AGL. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves northwest, requiring real-time avoidance. The UAV is equipped with GNSS, IMU, lidar, and RGB camera, but faces GNSS jamming interference and electromagnetic disturbances. A scheduled GNSS jamming fault occurs at 120 seconds, lasting 45 seconds with high severity, compounded by downlink communication loss in two time windows. The mission involves transporting a 10 kg payload along a corridor route with four waypoints, returning to the origin within a 600-second time budget. Wind gusts up to 4 m/s and snowfall increase flight instability and sensor degradation risks. The UAV must maintain separation of at least 25 meters from a single intruder UAV and avoid a moving spherical obstacle. Constraints include battery reserve requirements, GNSS multipath/jamming, limited comms, and strict geofencing.",Climb to 140 m to avoid jamming effects and improve comms range,Descend to 20 m to reduce wind exposure using lidar terrain hold,Hover at 100 m using IMU and lidar to wait out GNSS fault duration,Proceed to next waypoint using dead reckoning with full thrust,"Reduce speed by 30%, track with RGB camera, and descend to 80 m",Turn northwest early to pre-empt dynamic no-fly zone entry,"Increase altitude to 150 m, then fly direct using predicted GNSS fix","[""Climb to 140 m to avoid jamming effects and improve comms range"", ""Descend to 20 m to reduce wind exposure using lidar terrain hold"", ""Hover at 100 m using IMU and lidar to wait out GNSS fault duration"", ""Proceed to next waypoint using dead reckoning with full thrust"", ""Reduce speed by 30%, track with RGB camera, and descend to 80 m"", ""Turn northwest early to pre-empt dynamic no-fly zone entry"", ""Increase altitude to 150 m, then fly direct using predicted GNSS fix""]","Reducing speed conserves energy and improves control in gusts, while 80 m altitude balances terrain clearance, sensor effectiveness, and geofence compliance. Using RGB and lidar maintains navigation accuracy during GNSS outage, avoids the intruder via visual tracking, and enables safe dynamic obstacle avoidance without excessive power use." 2025-11-01T18:06:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/suburban_fixed_wing_survey_hail_7f79a3a59e0c_mcq.json,uavbench-mcq-v1,suburban_fixed_wing_survey_hail,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 180s, icing hits amid hail and 8.5 m/s winds. Comms drop twice. Which action maintains control and data integrity?","Fixed-wing UAV conducts a grid survey mission in suburban airspace. Operating altitude ranges from 30 to 120 meters AGL within a defined polygonal geofence. Weather includes strong 8.5 m/s winds from 240°, gusts up to 4.0 m/s, and active hail. The UAV is equipped with RGB camera payload and standard navigation sensors. A no-fly zone cylinder blocks access near the center of the area at 30–80 m altitude. Mission requires runway-assisted takeoff and landing aligned with 240° heading. Another UAV is present, approaching from outside the operational zone at 70 m altitude. A moving spherical obstacle drifts eastward at 2 m/s through the survey area. An icing event occurs at 180 seconds, lasting one minute with moderate severity. Communication experiences two brief downlink loss windows during the flight.",Switch to encrypted backup comms with authenticated telemetry,Increase camera capture rate to compensate for weather,Disable GNSS and rely solely on barometric altitude,Transmit raw sensor data unencrypted for low latency,Descend immediately below 30 m to avoid wind,Hand over control via unauthenticated public relay,Lock flight path despite moving obstacle proximity,"[""Switch to encrypted backup comms with authenticated telemetry"", ""Increase camera capture rate to compensate for weather"", ""Disable GNSS and rely solely on barometric altitude"", ""Transmit raw sensor data unencrypted for low latency"", ""Descend immediately below 30 m to avoid wind"", ""Hand over control via unauthenticated public relay"", ""Lock flight path despite moving obstacle proximity""]","Switching to encrypted, authenticated comms preserves data integrity and availability during link disruptions. It resists spoofing or injection during comms loss. Other options either expose control channels or degrade situational awareness under cyber-physical stress." 2025-11-01T18:06:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/suburban_search_rescue_convertiplane_93d8083a25b1_mcq.json,uavbench-mcq-v1,suburban_search_rescue_convertiplane,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 30 m altitude, 8 m/s wind from 240°, and gusts to 4.5 m/s, what minimizes sideslip and drag during grid search?","This is a search and rescue mission in a suburban airspace using a convertiplane UAV. The UAV operates within an altitude range of 10 to 120 meters AGL and must avoid a cylindrical no-fly zone centered at (100, 150) with a 30-meter radius. Weather conditions include a 8 m/s wind from 240 degrees with increasing speed and shifting direction at higher altitudes, along with gusts up to 4.5 m/s. The UAV is equipped with both RGB and thermal cameras, LiDAR, and standard navigation sensors, supporting day and night search operations. GNSS multipath is present, potentially degrading positioning accuracy near buildings. The flight path follows a grid pattern between five waypoints at 30 meters altitude, covering the designated search area. A runway approach to (350, 150, 0) is required for landing, and traffic separation must be maintained at 25 meters or 20 seconds time-to-closest approach. A single intruder UAV enters from the north, moving south at 15 m/s, requiring detect-and-avoid logic. A moving spherical obstacle drifts west at 2 m/s near the center of the area, adding dynamic collision risk. The mission must complete within 600 seconds while respecting battery reserves and sensor limitations.",Bank 15° into wind with 5° yaw trim,"Maintain wings level, no yaw correction",Increase speed to 25 m/s to penetrate gusts,Reduce airspeed to 12 m/s to save power,Align thrust vector 10° leeward,Use 30° bank angle to counter drift,Point nose 8° into crosswind component,"[""Bank 15° into wind with 5° yaw trim"", ""Maintain wings level, no yaw correction"", ""Increase speed to 25 m/s to penetrate gusts"", ""Reduce airspeed to 12 m/s to save power"", ""Align thrust vector 10° leeward"", ""Use 30° bank angle to counter drift"", ""Point nose 8° into crosswind component""]","Pointing the nose 8° into the crosswind aligns the UAV's longitudinal axis with the relative wind, minimizing sideslip and reducing lateral drag. This preserves aerodynamic efficiency and sensor stability during grid scanning. Other options either induce excessive drag, risk stall, or destabilize flight path control." 2025-11-01T18:06:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/solar_glider_thermal_soaring_bridge_site_66b07cacd175_mcq.json,uavbench-mcq-v1,solar_glider_thermal_soaring_bridge_site,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,E,False,"Given 15 m/s winds, GNSS jamming, and 8-second comms loss, which navigation strategy ensures geofence compliance and obstacle avoidance?","Solar-powered fixed-wing UAV conducts a survey mission over a bridge construction site. Flight occurs within a defined polygon airspace with a 10–300 m AGL altitude range. Weather includes strong winds up to 15 m/s, poor visibility, and hail, with increasing wind speed and shifting direction at altitude. The UAV is equipped with RGB and thermal cameras for imaging payload, relying solely on battery power with solar charging assumed. A no-fly zone cylinder surrounds a central area near the bridge, requiring careful path planning. GNSS signals suffer from multipath interference and jamming events, with an 8-second comms loss window. A thermal updraft zone near the center supports potential soaring, but icing conditions occur mid-mission. A second UAV and a moving spherical obstacle create dynamic collision risks. The mission requires runway-aligned takeoff and landing, with separation maintained from all obstacles. DAA systems monitor for breaches, and battery reserve, fault detection, and geofence compliance are critical success factors.",Prioritize GNSS with IMU dead reckoning during jamming,Rely solely on visual-inertial odometry in poor visibility,Use GPS-RTK despite multipath and jamming events,Switch to IMU and barometer during GNSS outages,"Fuse IMU, visual, and airdata with wind-adaptive EKF",Depend on thermal camera for relative obstacle tracking,Follow magnetic heading with no sensor fusion,"[""Prioritize GNSS with IMU dead reckoning during jamming"", ""Rely solely on visual-inertial odometry in poor visibility"", ""Use GPS-RTK despite multipath and jamming events"", ""Switch to IMU and barometer during GNSS outages"", ""Fuse IMU, visual, and airdata with wind-adaptive EKF"", ""Depend on thermal camera for relative obstacle tracking"", ""Follow magnetic heading with no sensor fusion""]","Fusing IMU, visual, and airdata in an adaptive EKF compensates for GNSS outages and wind-induced drift. It maintains accuracy despite 15 m/s shifting winds and 8-second comms loss. This strategy preserves geofence integrity and enables dynamic obstacle avoidance under sensor degradation." 2025-11-01T18:06:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/solar_wing_volcanic_survey_rain_63d582f2d0a8_mcq.json,uavbench-mcq-v1,solar_wing_volcanic_survey_rain,minimax/minimax-m1,9,Comparative System Reasoning,7,?,E,False,"Which UAV configuration best handles GNSS jamming at -75 dBm, 15 m/s winds, and a 1.8 kg imaging payload during volcanic survey?","Solar-powered fixed-wing UAV conducts a volcanic zone survey mission in poor visibility with rain and lightning risk. Flight occurs within a defined polygonal airspace bounded from 30 to 450 meters AGL, near active volcanic terrain. Weather includes strong winds up to 15 m/s increasing with altitude, gusts, and wind shear across the flight path. The UAV carries RGB and thermal cameras for remote sensing, with a 1.8 kg payload optimized for aerial imaging. A central no-fly cylinder prohibits entry around the volcano’s core, with an additional moving no-fly zone in motion. GNSS performance is degraded due to jamming at -75 dBm and electromagnetic interference in the area. A simultaneous GNSS jamming fault and downlink loss creates communication and navigation challenges during flight. Wind and thermal updrafts of 2.5 m/s affect stability, requiring careful energy and attitude management. Separation from a crossing UAV traffic and a moving spherical obstacle must be maintained above 50 meters. The mission requires a runway-aligned takeoff and landing, with limited emergency landing options available.",Monocular vision-only navigation with lightweight frame and minimal redundancy,Dual GNSS receivers with RF filtering and 20% extra battery capacity,"Pure inertial navigation with no GNSS, high mass, short endurance",Solar-electric propulsion with RTK-GNSS and electro-optical obstacle avoidance,Terrain correlation using thermal camera and INS with wind-adaptive flight control,"Acoustic sensors for navigation, low power, unaffected by electromagnetic interference",GPS-only navigation with ADS-B for traffic separation and no backup,"[""Monocular vision-only navigation with lightweight frame and minimal redundancy"", ""Dual GNSS receivers with RF filtering and 20% extra battery capacity"", ""Pure inertial navigation with no GNSS, high mass, short endurance"", ""Solar-electric propulsion with RTK-GNSS and electro-optical obstacle avoidance"", ""Terrain correlation using thermal camera and INS with wind-adaptive flight control"", ""Acoustic sensors for navigation, low power, unaffected by electromagnetic interference"", ""GPS-only navigation with ADS-B for traffic separation and no backup""]","System E combines INS and thermal-based terrain correlation, which operates despite GNSS jamming and EM interference. Wind-adaptive control manages 15 m/s gusts and 2.5 m/s updrafts effectively. It supports the 1.8 kg payload and maintains safety without relying on degraded signals." 2025-11-01T18:06:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/offshore_icing_recon_hexa_fffe3f627704_mcq.json,uavbench-mcq-v1,offshore_icing_recon_hexa,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"At 460s, GNSS degrades near platform; icing reduces lift. Winds 240° at 18 m/s, visibility 800m. How to maintain grid and safety?","This mission involves a hexacopter conducting fixed-wing-style area reconnaissance near an offshore platform. The operation takes place in offshore airspace with a geofenced zone and a cylindrical no-fly zone around critical infrastructure. Weather conditions include strong winds from 240 degrees, gusts, poor visibility, and hazardous icing conditions. The UAV is equipped with RGB and thermal cameras for payload, relying on full sensor suite including GNSS, IMU, and barometer. A significant constraint is the presence of icing conditions, with a simulated icing event reducing performance midway through the mission. The flight must stay within 30–150 meters AGL, avoid the no-fly cylinder, and maintain separation from other traffic. There is a moving spherical obstacle drifting westward at 2 m/s, requiring dynamic avoidance. Communication experiences a brief downlink loss between 450–470 seconds, and GNSS multipath may affect positioning near structures. Mission success depends on completing the grid pattern within time, avoiding collisions, and preserving battery with a 30% reserve.",Rely solely on GNSS and barometer for altitude hold,Switch to IMU-visual odometry with thermal-assisted feature tracking,Descend to 20m AGL to reduce wind exposure and save power,Pause mission until GNSS signal stabilizes post-downlink loss,Use magnetic heading to align with grid despite drift,Increase speed westward to outrun drifting obstacle quickly,Climb to 160m AGL for clearer GNSS reception above multipath,"[""Rely solely on GNSS and barometer for altitude hold"", ""Switch to IMU-visual odometry with thermal-assisted feature tracking"", ""Descend to 20m AGL to reduce wind exposure and save power"", ""Pause mission until GNSS signal stabilizes post-downlink loss"", ""Use magnetic heading to align with grid despite drift"", ""Increase speed westward to outrun drifting obstacle quickly"", ""Climb to 160m AGL for clearer GNSS reception above multipath""]","Visual-IMU fusion compensates for GNSS multipath and downlink loss, while thermal helps in poor visibility. Icing and wind demand altitude maintenance between 30–150m; descending or climbing violates limits. B preserves navigation integrity using redundant sensing without exposing to environmental risks." 2025-11-01T18:06:08Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/thermal_updraft_training_convertiplane_suburban_62ef29109337_mcq.json,uavbench-mcq-v1,thermal_updraft_training_convertiplane_suburban,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"At 170m AGL, 6 m/s west wind, GNSS at -75 dBm, and 120s into mission, which navigation mode ensures position integrity?","This is a UAV survey mission in suburban airspace using a convertiplane equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The aircraft operates between 10 and 180 meters AGL within a defined 500x500 meter geofenced area. Weather includes a 6 m/s wind from 240° increasing with altitude, gusts, and thermal updrafts of up to 3 m/s located at specific coordinates. The UAV must avoid a static no-fly zone near (100,100) and a moving obstacle at (300,150) traveling northeast. A dynamic no-fly zone and a moving spherical obstacle add complexity to path planning. GNSS signals are degraded by multipath effects and moderate jamming at -75 dBm, with electromagnetic interference present. The mission requires use of a runway for takeoff and landing, with a transition time of up to 10 seconds from fixed-wing to hover mode. Communication experiences brief downlink losses between 120–130 and 450–460 seconds, with minimum RSSI at -85 dBm. The UAV must complete its corridor survey within 600 seconds while maintaining separation from traffic and obstacles.",Trust GNSS exclusively; signal is above -80 dBm threshold,Switch to full optical flow; wind stabilizes camera view,Use LiDAR-only SLAM; multipath affects only GNSS,Fuse IMU with visual odometry; GNSS too noisy,Rely on magnetic heading; interference not specified,Descend to 10m; reduces wind but increases occlusion,Pause survey; wait for GNSS to stabilize,"[""Trust GNSS exclusively; signal is above -80 dBm threshold"", ""Switch to full optical flow; wind stabilizes camera view"", ""Use LiDAR-only SLAM; multipath affects only GNSS"", ""Fuse IMU with visual odometry; GNSS too noisy"", ""Rely on magnetic heading; interference not specified"", ""Descend to 10m; reduces wind but increases occlusion"", ""Pause survey; wait for GNSS to stabilize""]",GNSS at -75 dBm with multipath and jamming risks drift; visual odometry fused with IMU reduces reliance on degraded signals. This maintains accuracy during wind-induced motion and ensures continuous progress despite brief GNSS outages. 2025-11-01T18:06:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/thermal_updraft_training_desert_sandstorm_735c4ad41d44_mcq.json,uavbench-mcq-v1,thermal_updraft_training_desert_sandstorm,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"UAV must survey 5 waypoints up to 6,000m AGL with sandstorm, 18 m/s winds, and GNSS jamming at -75 dBm. How to maximize endurance and data integrity?","High-altitude pseudo-satellite UAV conducts a survey mission in a desert environment. The mission involves flying a corridor pattern across five waypoints between 1,000 and 6,000 meters AGL. Operational airspace is a 5 km by 4 km polygon with static and moving no-fly zones. A static NFZ cylinder blocks airspace near (1500,1000), and a dynamic NFZ drifts northeast at 2.9 m/s. Weather includes strong winds up to 18 m/s at altitude and a sandstorm causing poor visibility. Thermal updrafts near (2500,3000) and (4000,1500) provide potential lift for energy-efficient flight. The UAV carries RGB and thermal cameras, supported by radar due to low visibility. GNSS signals suffer from multipath effects and moderate jamming at -75 dBm. Two fault events simulate GNSS jamming and IMU bias, with comms dropouts at 110s and 290s. Separation from other traffic and a moving spherical obstacle must be maintained above 100 meters.",Fly direct paths at max speed to minimize exposure,"Disable thermal camera to save 15W, use radar-only",Circle thermal updrafts continuously to gain free lift,"Climb to 6,000m for clearer GNSS, ignore updrafts",Skip two waypoints to preserve battery for comms dropouts,Transmit full HD video at 20 Mbps despite interference,Alternate sensors every 60s to balance power and data,"[""Fly direct paths at max speed to minimize exposure"", ""Disable thermal camera to save 15W, use radar-only"", ""Circle thermal updrafts continuously to gain free lift"", ""Climb to 6,000m for clearer GNSS, ignore updrafts"", ""Skip two waypoints to preserve battery for comms dropouts"", ""Transmit full HD video at 20 Mbps despite interference"", ""Alternate sensors every 60s to balance power and data""]","Disabling the thermal camera reduces power draw by 15W, preserving energy for critical GNSS recovery and radar navigation in poor visibility. It maintains mission utility by relying on radar, which functions in sandstorm, while avoiding unnecessary energy expenditure. Other options either increase power use, waste time, or compromise safety and data needs under constrained bandwidth and battery limits." 2025-11-01T18:06:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/solar_wing_bridge_inspection_snowfall_a683f8ac68dd_mcq.json,uavbench-mcq-v1,solar_wing_bridge_inspection_snowfall,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 550 seconds, UAV faces icing, 9.2 m/s winds, and comms loss. Return now or complete final waypoint 40s away?","This scenario involves a bridge inspection mission using a solar-powered fixed-wing UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs in a designated bridge site airspace with a maximum altitude of 120 meters AGL and a minimum of 10 meters. Weather conditions include moderate snowfall, poor visibility, and increasing wind speeds with altitude, reaching up to 9.2 m/s at 100 meters. The UAV must navigate around a static no-fly zone near the bridge center and avoid a moving no-fly cylinder drifting slowly through the area. Additional challenges include GNSS signal multipath effects, electromagnetic interference, and a temporary comms loss window. A second UAV is present in the airspace, requiring separation monitoring to avoid collisions. The mission follows a spiral inspection pattern through five waypoints, with a time limit of 600 seconds. An icing event occurs mid-mission, reducing performance for one minute. Thermal updrafts are present near the bridge, which could affect flight dynamics. The UAV must return safely for landing at the preferred site, avoiding stalls or battery depletion, while maintaining required separation and staying within geofenced boundaries.",Continue to final waypoint; mission data is critical,Abort and return immediately via shortest path,Climb to 120m for better GNSS and wind clearance,Descend to 10m to avoid wind and thermal updrafts,Enter temporary no-fly zone to cut flight time by 30s,Hover in place until comms restore full control,Transfer control to second UAV and terminate flight,"[""Continue to final waypoint; mission data is critical"", ""Abort and return immediately via shortest path"", ""Climb to 120m for better GNSS and wind clearance"", ""Descend to 10m to avoid wind and thermal updrafts"", ""Enter temporary no-fly zone to cut flight time by 30s"", ""Hover in place until comms restore full control"", ""Transfer control to second UAV and terminate flight""]","Safety requires aborting due to compounding risks: icing, wind, and comms loss endanger controlled flight. Completing the mission risks loss of control near populated infrastructure. Immediate return prioritizes human safety and lawful geofence compliance over data collection." 2025-11-01T18:06:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/swarm_powerline_inspection_fog_ce5a4ac38382_mcq.json,uavbench-mcq-v1,swarm_powerline_inspection_fog,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 400s, GNSS jamming occurs at 110m AGL in fog; which navigation strategy maintains swarm integrity and obstacle avoidance?","The mission is a powerline inspection conducted by a drone swarm near an airport perimeter. The operation takes place in restricted airspace with a maximum altitude of 120 meters AGL and a defined geofenced area. Weather conditions include poor visibility due to fog and potential icing, with moderate winds increasing with altitude. The UAVs are multirotor-swarm drones equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Each drone carries a 0.3 kg payload and relies on battery power with a 30% reserve requirement. Key constraints include a static no-fly zone near the center and a moving no-fly zone that drifts across the area. GNSS signals are degraded by multipath effects and intermittent jamming, complicating navigation. The swarm consists of four drones with distinct roles and must maintain minimum separation of 8 meters. They must also avoid a moving spherical obstacle and a conflicting UAV flying through the airspace. Additional challenges include communication dropouts, an icing event at 200 seconds, and a GNSS jamming fault at 400 seconds.",Continue GNSS-only guidance ignoring jamming alerts,Switch to LiDAR-only mapping for all drones,Fuse IMU with visual odometry and thermal SLAM,Descend immediately using barometer-only control,Halt all motion until GNSS signal recovers,Rely on magnetic heading with dead reckoning,Use RF triangulation from swarm peers alone,"[""Continue GNSS-only guidance ignoring jamming alerts"", ""Switch to LiDAR-only mapping for all drones"", ""Fuse IMU with visual odometry and thermal SLAM"", ""Descend immediately using barometer-only control"", ""Halt all motion until GNSS signal recovers"", ""Rely on magnetic heading with dead reckoning"", ""Use RF triangulation from swarm peers alone""]",GNSS jamming and fog degrade external references; visual and thermal sensors provide redundancy. IMU-visual-thermal fusion enables drift-resistant localization. This maintains swarm separation and obstacle awareness despite GNSS loss and poor visibility. 2025-11-01T18:06:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/swarm_drone_gps_spoof_fog_wind_farm_586629531f63_mcq.json,uavbench-mcq-v1,swarm_drone_gps_spoof_fog_wind_farm,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,"At 200s, GNSS spoofing hits with -85 dBm jamming, 10m separation, and relay drone near no-fly zone. What action maximizes safety and mission integrity?","Swarm drone inspection mission in a wind farm environment with poor visibility due to fog. Operates within a 500x500m polygonal airspace, altitude constrained between 10m and 120m AGL. GNSS spoofing fault occurs at 200 seconds, lasting 60 seconds with high severity, amid existing EM interference and -85 dBm jamming. Weather includes 8 m/s winds from the west and gusts up to 4 m/s, challenging flight stability. Five-drone swarm with leader, followers, relay, and scout roles, maintaining minimum 10m inter-drone separation. Equipped with RGB cameras and standard navigation sensors but no LiDAR or radar. Mission involves flying a corridor pattern between four waypoints at 40m altitude within a 600-second time limit. Central no-fly zone cylinder (30m radius) at (250,250) must be avoided. External traffic UAV crosses the area at 12 m/s; a moving spherical obstacle drifts eastward at 2 m/s. Communication experiences brief uplink/downlink loss between 180–210 seconds, with minimum RSSI at -95 dBm.",Continue corridor pattern ignoring spoofing,Descend all drones to 10m AGL immediately,Abort mission and land at current positions,Ascend swarm to 120m to regain signal,Initiate emergency return-to-home pattern,Rely on dead reckoning for next 60 seconds,Deploy scout to lead using visual cues,"[""Continue corridor pattern ignoring spoofing"", ""Descend all drones to 10m AGL immediately"", ""Abort mission and land at current positions"", ""Ascend swarm to 120m to regain signal"", ""Initiate emergency return-to-home pattern"", ""Rely on dead reckoning for next 60 seconds"", ""Deploy scout to lead using visual cues""]",Emergency return-to-home prioritizes collision avoidance and regulatory compliance during critical sensor faults. It reduces risk to humans and infrastructure while respecting airspace rules. Other options either escalate danger or depend on compromised systems. 2025-11-01T18:06:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/suburban_snowfall_solar_wing_patrol_8bc52118da05_mcq.json,uavbench-mcq-v1,suburban_snowfall_solar_wing_patrol,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,Which route avoids the moving NFZ drifting southwest and maintains 25m separation from the other UAV above 30m AGL?,"This is a UAV patrol mission in suburban airspace with snowfall and icing conditions. The environment features poor visibility and moderate winds increasing with altitude. A solar-powered fixed-wing UAV with RGB and thermal cameras conducts a survey mission. The flight occurs between 30 and 180 meters AGL within a defined polygonal geofence. A static no-fly zone blocks the central area, and a moving no-fly zone drifts southwest. GNSS signals are degraded due to multipath and mild jamming, with electromagnetic interference present. The UAV must avoid a low-flying obstacle moving vertically near the southern boundary. Another UAV enters the airspace from the north, requiring separation of at least 25 meters. An icing event temporarily reduces performance midway through the mission. Communication experiences brief dropouts, and battery reserves must account for increased drag and power use.",Climb to 200m AGL to avoid icing and cross central NFZ diagonally,Descend to 25m AGL and fly direct through southern boundary obstacle zone,"Fly northwest at 150m AGL, then turn east inside geofence, ignoring UAV traffic","Reroute westward at 160m AGL, delaying waypoint arrival by 4 minutes","Maintain 100m AGL, follow polygon edge, and delay turn for thermal scan","Turn south now, descend to 20m AGL, and accelerate to exit geofence early","Adjust eastward at 140m AGL, increase speed 8%, and track parallel to moving NFZ","[""Climb to 200m AGL to avoid icing and cross central NFZ diagonally"", ""Descend to 25m AGL and fly direct through southern boundary obstacle zone"", ""Fly northwest at 150m AGL, then turn east inside geofence, ignoring UAV traffic"", ""Reroute westward at 160m AGL, delaying waypoint arrival by 4 minutes"", ""Maintain 100m AGL, follow polygon edge, and delay turn for thermal scan"", ""Turn south now, descend to 20m AGL, and accelerate to exit geofence early"", ""Adjust eastward at 140m AGL, increase speed 8%, and track parallel to moving NFZ""]","Option G maintains safe altitude (140m AGL) within operational band, avoids both static and moving NFZs by lateral offset, and adapts trajectory to ensure 25m separation. It balances wind effects, GNSS drift, and communication latency while minimizing energy use. Other choices violate AGL limits, breach NFZs, or fail separation requirements." 2025-11-01T18:06:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/swarm_delivery_in_fog_37bdfdd7f981_mcq.json,uavbench-mcq-v1,swarm_delivery_in_fog,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,Which system ensures reliable navigation for 600s in fog with GNSS at -75 dBm and 6 m/s winds?,"Swarm drone delivery mission in suburban airspace with poor visibility due to fog. UAVs are battery-powered octocopters equipped with GNSS, IMU, lidar, and RGB cameras. Payload includes a 0.5 kg delivery item with moderate aerodynamic drag. Weather features 6 m/s winds from 240° with gusts up to 3.5 m/s and increasing wind speed with altitude. A dynamic no-fly zone moves through the area, requiring real-time rerouting. Swarm of four drones must maintain 10 m minimum separation and navigate around static and moving obstacles. GNSS signals are degraded by multipath and moderate jamming at -75 dBm. Electromagnetic interference and periodic uplink loss create communication challenges. Mission must be completed within 600 seconds, following a corridor pattern between three waypoints. Landing is planned at a preferred site, with an emergency site available if needed.",Pure GNSS with no sensor fusion,IMU-only dead reckoning,Lidar and IMU sensor fusion,GNSS and IMU with no lidar,Visual odometry using RGB cameras,GPS-only with high-gain antenna,Lidar-only mapping in fog,"[""Pure GNSS with no sensor fusion"", ""IMU-only dead reckoning"", ""Lidar and IMU sensor fusion"", ""GNSS and IMU with no lidar"", ""Visual odometry using RGB cameras"", ""GPS-only with high-gain antenna"", ""Lidar-only mapping in fog""]","Lidar and IMU fusion provides accurate localization despite GNSS jamming and fog, reducing drift. IMU bridges lidar scan gaps and handles dynamic motion. Other options fail in obscurants, multipath, or long-term drift, compromising swarm separation or mission timing." 2025-11-01T18:06:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/thermal_updraft_training_octocopter_icing_9d8caa3723f8_mcq.json,uavbench-mcq-v1,thermal_updraft_training_octocopter_icing,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,F,False,"At 190s, icing reduces performance 40%, battery at 45%, intruder UAV at 22m separation, 14s time-to-collision. Prioritize?","This scenario involves an inspection mission using an octocopter UAV equipped with RGB and thermal cameras along a powerline corridor. The flight occurs in a rectangular geofenced airspace with a minimum altitude of 20 meters and a maximum of 120 meters AGL. Weather conditions include moderate winds increasing with altitude, poor visibility, and icing conditions that pose operational risks. The UAV has a battery capacity of 1200 Wh and carries a 1.2 kg payload, with significant energy consumption modeled during hover and maneuvering. Key constraints include a static no-fly zone near the center and a moving no-fly zone traveling at 2.5 m/s, requiring dynamic avoidance. A thermal updraft is present at (800, 600), offering potential lift, but GNSS signals suffer from multipath and interference, with jamming at -95 dBm and communication dropouts between 120–130 and 300–315 seconds. The mission requires navigating five waypoints within 600 seconds while avoiding collisions with a moving obstacle and an intruder UAV flying westward at 18 m/s. An icing event is simulated from 180 to 240 seconds, reducing performance by 40%, and the UAV must manage battery reserves with a 30% safety margin. DAA systems monitor separation, requiring at least 25 meters distance and 15 seconds time-to-collision threshold. The UAV spawns at (100, 100, 50) meters and must return to its preferred landing site unless an emergency occurs, with an alternate site available at the far corner.",Continue mission; trust DAA alert for late avoidance,Climb to 120m for clearer GNSS and wind advantage,Abort mission; return to home via thermal updraft,Descend to 20m to reduce icing and wind exposure,Hover at waypoint to reassess after communication resumes,Divert to alternate landing site avoiding moving no-fly zone,Accelerate to complete inspection before battery hits 30%,"[""Continue mission; trust DAA alert for late avoidance"", ""Climb to 120m for clearer GNSS and wind advantage"", ""Abort mission; return to home via thermal updraft"", ""Descend to 20m to reduce icing and wind exposure"", ""Hover at waypoint to reassess after communication resumes"", ""Divert to alternate landing site avoiding moving no-fly zone"", ""Accelerate to complete inspection before battery hits 30%""]","The UAV faces simultaneous icing, proximity to intruder below safety thresholds, and declining battery. Continuing or escalating mission risks collision and loss of control. Diverting to the alternate site avoids further risk, complies with separation rules, and prioritizes safe recovery over mission completion." 2025-11-01T18:06:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/thermal_updraft_training_bridge_site_bbac3e4eb2eb_mcq.json,uavbench-mcq-v1,thermal_updraft_training_bridge_site,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Which route avoids NFZs, adapts to wind gusts up to 3.2 m/s, and completes within 600 s?","This is an inspection mission conducted by a single battery-powered helicopter UAV equipped with RGB and thermal cameras. The flight occurs at a bridge site within a defined polygonal airspace bounded from 10 to 120 meters AGL. Weather includes a 6.5 m/s wind from 120 degrees with gusts up to 3.2 m/s, but visibility is good and no adverse phenomena are present. Thermal updrafts are present near waypoints, which the UAV may exploit for lift. The UAV must avoid a static no-fly zone over the bridge center and a moving no-fly zone drifting northwest. Additionally, a slow-moving spherical obstacle travels through the airspace, requiring dynamic avoidance. GNSS signals experience multipath interference and moderate jamming at -95 dBm, impacting navigation accuracy. Air traffic includes one opposing UAV, and separation must be maintained above 25 meters with a time-to-closest-approach threshold of 15 seconds. Communication experiences brief uplink/downlink losses at specific intervals, requiring robust control during dropouts. The mission must be completed within 600 seconds, starting from a fixed spawn point and returning to a preferred landing site.",A- Direct path through bridge center at 50 m AGL,"B- Fly northwest, bypass moving NFZ at 110 m AGL","C- Climb to 125 m AGL to escape jamming, then descend","玩家朋友- Follow polygon boundary at 110 m AGL, delay for thermal lift","D- Descend to 8 m AGL near bridge, avoid obstacles",E- Reroute southeast using thermal updrafts at 100 m AGL,F- Hold position at 60 m AGL during comms loss,"[""A- Direct path through bridge center at 50 m AGL"", ""B- Fly northwest, bypass moving NFZ at 110 m AGL"", ""C- Climb to 125 m AGL to escape jamming, then descend"", ""玩家朋友- Follow polygon boundary at 110 m AGL, delay for thermal lift"", ""D- Descend to 8 m AGL near bridge, avoid obstacles"", ""E- Reroute southeast using thermal updrafts at 100 m AGL"", ""F- Hold position at 60 m AGL during comms loss""]","E leverages thermal updrafts at 100 m AGL for energy-efficient lift while avoiding the bridge center NFZ and the drifting no-fly zone. It maintains GNSS reliability within 10–120 m AGL bounds, accounts for wind disturbances, and preserves time-to-go under 600 s with adaptive southeast rerouting around the spherical obstacle." 2025-11-01T18:06:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/thermal_updraft_training_octocopter_forest_hot_6bda801b1923_mcq.json,uavbench-mcq-v1,thermal_updraft_training_octocopter_forest_hot,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"At 110m AGL, wind hits 11 m/s and GNSS degrades; which navigation strategy maintains survey accuracy?","This is a UAV survey mission conducted in a forested airspace using an octocopter equipped with RGB and thermal cameras. The UAV operates between 10 and 120 meters AGL within a defined polygonal geofence. Two thermal updrafts are present, offering potential lift at specific locations. Wind increases with altitude, reaching 11 m/s at 100 meters, and shifts direction, creating dynamic flight conditions. GNSS multipath effects and electromagnetic interference are present, degrading navigation accuracy. A static no-fly zone and a moving obstacle block part of the airspace, requiring dynamic path planning. A second UAV flies on a crossing trajectory, enforcing separation requirements via DAA thresholds. Communication experiences two brief outages, risking data link loss. The octocopter must complete its grid survey within 600 seconds while avoiding obstacles and conserving battery. Mission success depends on navigation precision, energy management, and maintaining safe separation.",Rely solely on GNSS to maintain geofence alignment,Switch to IMU-barometer dead reckoning above 100m,Fuse visual odometry with thermal updraft positioning,Descend to 50m and use RGB-LiDAR SLAM fusion,Increase throttle and maintain heading via magnetometer,Use thermal camera to track canopy motion vectors,Disable sensors and follow precomputed grid path,"[""Rely solely on GNSS to maintain geofence alignment"", ""Switch to IMU-barometer dead reckoning above 100m"", ""Fuse visual odometry with thermal updraft positioning"", ""Descend to 50m and use RGB-LiDAR SLAM fusion"", ""Increase throttle and maintain heading via magnetometer"", ""Use thermal camera to track canopy motion vectors"", ""Disable sensors and follow precomputed grid path""]","At high altitude, GNSS multipath and wind degrade position accuracy, making standalone GNSS or magnetometer use unreliable. Visual odometry fused with LiDAR at lower altitude reduces drift and leverages stable RGB-texture and structural canopy data. Descending to 50m mitigates wind effects and improves sensor confidence, ensuring geofence compliance and energy-efficient obstacle awareness." 2025-11-01T18:06:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/thermal_updraft_training_solar_wing_2a1bdc0be967_mcq.json,uavbench-mcq-v1,thermal_updraft_training_solar_wing,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,C,False,"With GNSS jamming at 450s and 11 m/s winds at 200m, which action ensures survey completion and safe separation from intruder UAV?","This UAV mission is a survey flight operating near an airport perimeter within a defined polygonal airspace. The solar-powered fixed-wing UAV carries RGB and thermal cameras for payload, suited for environmental observation. Weather includes rain, poor visibility, and active thermal updrafts at specific locations, with winds increasing from 6.5 m/s at ground level to 11 m/s at 200 m altitude. The UAV must avoid a cylindrical no-fly zone centered near the runway and adhere to altitude limits between 30 m and 300 m AGL. Thermal updrafts provide potential lift at two plume locations, which the UAV may exploit for energy-efficient flight. GNSS signals are degraded by multipath effects and electromagnetic interference, with a simulated GNSS jamming fault occurring mid-mission. Air traffic includes a single intruder UAV moving perpendicular to the runway, requiring separation monitoring. The flight must follow a corridor pattern across four waypoints and return for a runway-aligned landing within a 900-second time budget. Communication experiences brief downlink outages, and the UAV must maintain safe separation from moving obstacles and other traffic. Mission success depends on completing the survey without collisions, geofence breaches, or critical system failures.",Climb to 200m to use thermal updraft and extend comms range,Descend to 30m AGL to avoid wind shear and reduce power use,Divert to nearest waypoint using INS-only navigation during jamming,Halt survey and loiter downwind of no-fly zone until GNSS returns,Increase speed to 15 m/s to finish survey before time budget expires,Follow intruder UAV's path to exploit its cleared communication channel,Abort mission and attempt immediate landing against prevailing wind,"[""Climb to 200m to use thermal updraft and extend comms range"", ""Descend to 30m AGL to avoid wind shear and reduce power use"", ""Divert to nearest waypoint using INS-only navigation during jamming"", ""Halt survey and loiter downwind of no-fly zone until GNSS returns"", ""Increase speed to 15 m/s to finish survey before time budget expires"", ""Follow intruder UAV's path to exploit its cleared communication channel"", ""Abort mission and attempt immediate landing against prevailing wind""]","INS navigation maintains position awareness during GNSS jamming while preserving mission timing. Continuing to the nearest waypoint ensures coverage without violating geofence or collision rules. Other options risk energy loss, communication failure, or conflict with intruder." 2025-11-01T18:06:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/thermal_updraft_training_solar_wing_forest_07476580217d_mcq.json,uavbench-mcq-v1,thermal_updraft_training_solar_wing_forest,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,C,False,"At 110 m AGL, 8.5 m/s wind from 240°, and 30% battery reserve, intruder UAV approaches within 50 m. What action ensures NFZ compliance and safe separation?","This is a UAV survey mission in a forested airspace using a solar-powered fixed-wing aircraft equipped with RGB and thermal cameras. The UAV operates between 20 and 120 meters AGL within a defined polygonal geofence, avoiding a cylindrical no-fly zone near the center. Weather includes moderate winds at 8.5 m/s from 240°, increasing with altitude, and active thermal updrafts at two locations to potentially aid lift. The environment features GNSS multipath, mild jamming, and electromagnetic interference, challenging navigation reliability. The mission requires runway-assisted takeoff and landing, with preferred and emergency landing sites designated. The flight path follows a corridor pattern through five waypoints, with a 600-second time limit and continuous control inputs allowed. A single intruder UAV and a moving spherical obstacle add dynamic collision risks. DAA systems monitor separation and time-to-closest-approach thresholds to maintain safe distances. Battery reserve is set to 30%, and performance metrics include battery state, NFZ compliance, and communication link quality.",Descend to 20 m AGL and proceed to Waypoint 3,Climb to 120 m AGL to use thermal updrafts for evasion,"Turn left, descend to 45 m AGL, and head to emergency runway",Maintain course and increase speed to close survey gap,Enter BVLOS mode and ascend above 120 m AGL,Orbit at current altitude to assess intruder trajectory,Execute immediate dive below 15 m AGL toward forest canopy,"[""Descend to 20 m AGL and proceed to Waypoint 3"", ""Climb to 120 m AGL to use thermal updrafts for evasion"", ""Turn left, descend to 45 m AGL, and head to emergency runway"", ""Maintain course and increase speed to close survey gap"", ""Enter BVLOS mode and ascend above 120 m AGL"", ""Orbit at current altitude to assess intruder trajectory"", ""Execute immediate dive below 15 m AGL toward forest canopy""]","Descending to 45 m AGL stays within the 20–120 m AGL operational band and avoids GNSS multipath near tree canopy. Turning away from the intruder maintains separation while routing to a designated emergency landing site. Other options violate altitude limits, NFZ proximity, or increase collision risk." 2025-11-01T18:06:09Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/thermal_updraft_training_convertiplane_urban_lightning_4a3420558e26_mcq.json,uavbench-mcq-v1,thermal_updraft_training_convertiplane_urban_lightning,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 250m AGL, winds increase with altitude and wind shear is present. What trim adjustment maintains optimal lift-to-drag ratio while minimizing angle of attack?","This is a survey mission using a battery-powered convertiplane UAV in dense urban airspace. The UAV is equipped with radar, RGB and thermal cameras, and standard navigation sensors. It operates under challenging weather including strong winds increasing with altitude, wind shear, and a risk of lightning. The flight occurs between 10–300 meters AGL within a defined polygonal geofence that includes a static no-fly zone and a moving no-fly zone. A dynamic moving obstacle and another UAV add complexity to traffic separation. Thermal updrafts are present at two locations, which the convertiplane may exploit during flight. GNSS signals are degraded by multipath, interference, and a planned 45-second jamming event. Lightning risk at 300 seconds introduces a high-severity fault condition requiring robust fault tolerance. The mission requires a runway takeoff and landing, with a time budget of 600 seconds to complete the corridor-style waypoint route.",Increase thrust and pitch up 5°,Reduce airspeed to maximize lift,Slight nose-down pitch with power increase,Bank 30° into the wind for stability,Deploy full flaps to counter turbulence,Maintain current attitude during shear,Descend immediately without power change,"[""Increase thrust and pitch up 5°"", ""Reduce airspeed to maximize lift"", ""Slight nose-down pitch with power increase"", ""Bank 30° into the wind for stability"", ""Deploy full flaps to counter turbulence"", ""Maintain current attitude during shear"", ""Descend immediately without power change""]","Wind shear at altitude increases relative airflow variability, requiring a reduced angle of attack to avoid stall. A slight nose-down attitude with added thrust preserves airspeed, optimizes lift-to-drag ratio, and counters downdraft tendencies. Other options either increase stall risk, induce excessive drag, or fail to compensate for vertical wind gradients." 2025-11-01T18:06:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/runway_incursion_daa_glider_rain_windfarm_e918e4afc6f6_mcq.json,uavbench-mcq-v1,runway_incursion_daa_glider_rain_windfarm,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,D,False,"Glider UAV at 110 m AGL, 12 m/s winds, GNSS at -85 dBm; how to maintain navigation integrity during icing fault?","This scenario involves a glider UAV conducting an inspection mission in a wind farm environment. The airspace is constrained between 10 m and 120 m AGL with a static no-fly zone and a moving no-fly zone that drifts over time. Weather conditions include rain, poor visibility, icing, and strong winds up to 12 m/s with gusts, increasing with altitude. The UAV is equipped with RGB camera payload and relies on battery power, with a max speed of 22 m/s and a stall speed of 9.2 m/s. GNSS signals are degraded due to multipath effects and moderate jamming at -85 dBm, compounded by electromagnetic interference. The mission requires runway access for landing, with the threshold located at (100, 50, 0) and a heading of 90 degrees. A dynamic traffic UAV enters the airspace from the east, flying westbound at 15 m/s. The glider must navigate around a moving spherical obstacle and avoid thermal updrafts while following a corridor inspection pattern. An icing fault occurs at 120 seconds, affecting performance for one minute, and uplink/downlink experience brief communication dropouts. Key constraints include maintaining separation from traffic and obstacles, avoiding geofence and altitude violations, and completing the mission within 600 seconds.",Increase reliance on GNSS despite jamming,Switch to pure IMU dead reckoning for 60 s,Use pitot-static system as primary altitude source,Fuse camera visuals with IMU during GNSS dropout,Descend immediately to avoid wind shear,Rely on magnetic heading for course maintenance,Maintain course using only barometric pressure,"[""Increase reliance on GNSS despite jamming"", ""Switch to pure IMU dead reckoning for 60 s"", ""Use pitot-static system as primary altitude source"", ""Fuse camera visuals with IMU during GNSS dropout"", ""Descend immediately to avoid wind shear"", ""Rely on magnetic heading for course maintenance"", ""Maintain course using only barometric pressure""]",Camera-IMU fusion compensates for GNSS degradation and inertial drift during icing-induced faults. Visual features anchor pose estimation despite rain-reduced visibility. This fusion maintains accuracy without violating altitude or obstacle constraints. 2025-11-01T18:06:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/thermal_updraft_training_fixed_wing_industrial_hail_bf60501de84b_mcq.json,uavbench-mcq-v1,thermal_updraft_training_fixed_wing_industrial_hail,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"At 110 m altitude, winds 13.5 m/s, UAV must inspect near thermal updrafts while avoiding a no-fly cylinder and a moving obstacle.","Fixed-wing UAV conducts inspection mission over an industrial plant. Operates within a 120-meter altitude ceiling and defined polygonal geofence. Weather includes strong winds up to 13.5 m/s, gusts, hail, and poor visibility. UAV equipped with RGB and thermal cameras for visual inspection tasks. Flight must avoid a cylindrical no-fly zone around critical infrastructure. Thermal updrafts are present, offering potential lift at specific locations. GNSS signals suffer from multipath and moderate jamming, impacting navigation. A second UAV and a moving obstacle challenge separation requirements. Icing event occurs mid-mission, degrading aerodynamic performance. Landing must occur on a designated runway with backup emergency site available.",Climb to 120 m for clearer GNSS and wind clearance,"Descend to 90 m to use thermal updrafts, saving energy","Fly direct at 110 m, prioritizing mission speed","Reduce speed to 12 m/s, increasing control in gusts","Detour 200 m around no-fly zone, ensuring separation",Switch to thermal-only imaging to cut power use,Abort mission immediately due to icing and jamming,"[""Climb to 120 m for clearer GNSS and wind clearance"", ""Descend to 90 m to use thermal updrafts, saving energy"", ""Fly direct at 110 m, prioritizing mission speed"", ""Reduce speed to 12 m/s, increasing control in gusts"", ""Detour 200 m around no-fly zone, ensuring separation"", ""Switch to thermal-only imaging to cut power use"", ""Abort mission immediately due to icing and jamming""]","Reducing speed improves control authority in strong gusts and enhances separation from the moving obstacle, while maintaining sufficient altitude to avoid the no-fly zone and leverage updrafts. It balances aerodynamic stability, navigation reliability under GNSS degradation, and energy efficiency without deviating excessively. Other options either risk instability, waste energy, or overreact to conditions without integrated risk mitigation." 2025-11-01T18:06:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/thermal_updraft_training_fixed_wing_icing_f76c28900947_mcq.json,uavbench-mcq-v1,thermal_updraft_training_fixed_wing_icing,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"During icing at 200 m with 15 m/s wind from 290°, how should the UAV respond to maintain safety and mission integrity?","Fixed-wing UAV conducts rural survey mission in icing conditions with thermal updrafts. Operating in a restricted rural airspace with a defined polygon geofence and a cylindrical no-fly zone. Wind increases with altitude, reaching 15 m/s from 290° at 200 m, with gusts and poor visibility. UAV equipped with RGB and thermal cameras, relying on battery power with moderate payload drag. Mission involves corridor-style waypoint navigation within strict altitude limits of 50–600 m AGL. Flight requires runway takeoff and landing, with preferred and emergency sites designated. Icing event occurs mid-mission, degrading performance for one minute at moderate severity. Another UAV and a moving obstacle pose collision risks, requiring DAA compliance with 50 m separation. GNSS signals are vulnerable to EM interference but no multipath or jamming is present. Communication experiences two brief uplink/downlink outages, testing link resilience.",Climb to 600 m to avoid turbulence and icing layers,Descend to 50 m to reduce wind exposure and save power,Maintain altitude and increase speed to ensure control,Turn toward emergency runway and reduce camera load,Hold position in thermal updraft to conserve battery,Adjust heading to minimize drift and de-ice duration,Circle in geofence to wait out interference and icing,"[""Climb to 600 m to avoid turbulence and icing layers"", ""Descend to 50 m to reduce wind exposure and save power"", ""Maintain altitude and increase speed to ensure control"", ""Turn toward emergency runway and reduce camera load"", ""Hold position in thermal updraft to conserve battery"", ""Adjust heading to minimize drift and de-ice duration"", ""Circle in geofence to wait out interference and icing""]","F balances aerodynamic stability, navigation accuracy, and energy efficiency by counteracting wind drift and minimizing time in hazardous conditions. It avoids unsafe altitudes, conserves power by not holding position, and maintains DAA separation. Other options risk control loss, excessive energy use, or geofence violation under dynamic constraints." 2025-11-01T18:06:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/tower_spiral_inspection_glider_volcanic_fog_6e78103e2f89_mcq.json,uavbench-mcq-v1,tower_spiral_inspection_glider_volcanic_fog,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 180 m AGL in 18 m/s gusting wind, how should the glider adjust airspeed and bank angle to maintain spiral stability and avoid stall?","This scenario involves a glider UAV conducting a tower inspection mission in a volcanic zone with poor visibility due to fog and icing conditions. The mission takes place within a defined polygonal airspace bounded from 10 to 250 meters AGL, featuring a central no-fly cylinder around the tower. The UAV is equipped with RGB and thermal cameras, LiDAR, and full sensor suite, but operates under GNSS multipath, moderate jamming, and electromagnetic interference. Strong and gusty winds increase with altitude, shifting direction and challenging stability, while thermal updrafts offer potential lift. The UAV must follow a spiral inspection pattern around the tower, maintaining safe separation from the NFZ and a moving spherical obstacle. Traffic includes another UAV entering the airspace, requiring detect-and-avoid compliance with a 25-meter separation threshold. Downlink is lost during two critical windows, limiting telemetry, and full runway access is required for landing. An icing event occurs mid-mission, degrading performance for one minute. Battery reserve is set to 30%, and the glider must complete the mission within 600 seconds while avoiding stalls, geofence breaches, and communication dropouts.",Increase airspeed and reduce bank angle to decrease load factor,Decrease airspeed and increase bank angle to tighten the turn,Maintain current airspeed and increase pitch to sustain lift,Reduce angle of attack and deploy flaps for more camber,Increase bank angle without speed change to exploit updrafts,Trim for higher angle of attack to reduce induced drag,Decrease airspeed below minimum controllable to save energy,"[""Increase airspeed and reduce bank angle to decrease load factor"", ""Decrease airspeed and increase bank angle to tighten the turn"", ""Maintain current airspeed and increase pitch to sustain lift"", ""Reduce angle of attack and deploy flaps for more camber"", ""Increase bank angle without speed change to exploit updrafts"", ""Trim for higher angle of attack to reduce induced drag"", ""Decrease airspeed below minimum controllable to save energy""]","Increasing airspeed raises dynamic pressure and lift margin, countering gust-induced AoA fluctuations. Reducing bank angle lowers load factor, decreasing stall risk. This balances centripetal force needs with aerodynamic limits under turbulence and icing-degraded performance." 2025-11-01T18:06:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/thermal_updraft_training_forest_hot_c2008a1190f9_mcq.json,uavbench-mcq-v1,thermal_updraft_training_forest_hot,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 45m AGL, UAV encounters 4.5 m/s gusts and thermal updrafts near plume centers while avoiding a moving no-fly zone and traffic UAV.","This UAV mission is a survey flight conducted in a forested airspace with thermal updraft conditions and moderate wind. The UAV is an amphibious fixed-wing type equipped with RGB and thermal cameras for payload. It operates within an altitude range of 5 to 120 meters AGL, navigating a predefined corridor pattern across five waypoints. Strong winds increase with altitude, shifting direction from 240° to 260°, and gusts reach up to 4.5 m/s. Thermal updrafts are present near two plume centers, offering potential lift for energy-efficient flight. GNSS signals suffer from multipath interference and mild jamming at -95 dBm, with additional electromagnetic interference affecting navigation. A static no-fly zone blocks access around a cylinder near the center of the zone, and a moving no-fly zone drifts slowly through the area. The UAV must avoid a dynamic obstacle and another traffic UAV entering the airspace on a crossing path. Communication experiences two brief downlink loss windows, and the aircraft must return to a designated runway for landing. Battery endurance and separation from obstacles are critical constraints throughout the mission.",Climb to 120m for smoother winds and better GNSS signal,Descend to 5m AGL to minimize wind impact and save battery,"Adjust heading to use thermal updrafts, delaying corridor shift by 90s",Accelerate to 18 m/s to exit interference zone before downlink loss,Broadcast position to traffic UAV and coordinate 30m horizontal separation,Enter plume center for lift but reduce camera duty cycle by 40%,Hold position at Waypoint 3 until moving no-fly zone passes,"[""Climb to 120m for smoother winds and better GNSS signal"", ""Descend to 5m AGL to minimize wind impact and save battery"", ""Adjust heading to use thermal updrafts, delaying corridor shift by 90s"", ""Accelerate to 18 m/s to exit interference zone before downlink loss"", ""Broadcast position to traffic UAV and coordinate 30m horizontal separation"", ""Enter plume center for lift but reduce camera duty cycle by 40%"", ""Hold position at Waypoint 3 until moving no-fly zone passes""]","Coordinating separation with the traffic UAV ensures collision avoidance and deconflicts crossing paths under GNSS uncertainty. This maintains communication integrity during downlink loss windows and preserves mission timing. Other options risk violating spacing, increasing exposure to interference, or wasting energy." 2025-11-01T18:06:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/tower_spiral_inspection_rain_convertiplane_0e4c1274f357_mcq.json,uavbench-mcq-v1,tower_spiral_inspection_rain_convertiplane,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best handles 13 m/s winds, icing, GNSS degradation, and 600-second endurance with 30% battery reserve?","The mission is an inspection of a powerline corridor using a convertiplane UAV. The flight occurs in a designated airspace with a polygonal geofence and both static and dynamic no-fly zones. Weather conditions include rain, poor visibility, icing, and moderate winds up to 13 m/s that increase with altitude. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It must maintain separation from a single traffic UAV and a moving obstacle while adhering to a 25-meter minimum separation threshold. GNSS signals are degraded due to multipath, jamming, and electromagnetic interference. The UAV must follow a spiral inspection pattern around waypoints while managing energy use under high wind and icing conditions. A runway is required for landing, and the mission includes brief communication loss windows. Battery reserve is set to 30%, and the flight must complete within 600 seconds. Icing events and sensor limitations pose significant operational challenges.",Fixed-wing with high glide ratio but no de-icing,Quadcopter with thermal camera and LiDAR,Convertiplane with de-icing and terrain-relative navigation,Helicopter with external GNSS antenna and RGB,VTOL with dual IMUs but no LiDAR,Fixed-wing with LiDAR and wind-resistant airframe,Quadcopter with radar altimeter and de-icing,"[""Fixed-wing with high glide ratio but no de-icing"", ""Quadcopter with thermal camera and LiDAR"", ""Convertiplane with de-icing and terrain-relative navigation"", ""Helicopter with external GNSS antenna and RGB"", ""VTOL with dual IMUs but no LiDAR"", ""Fixed-wing with LiDAR and wind-resistant airframe"", ""Quadcopter with radar altimeter and de-icing""]","The convertiplane with de-icing and terrain-relative navigation maintains stability in high winds and icing while compensating for GNSS degradation using sensor fusion. It supports the required spiral pattern and endurance within energy constraints. Other options lack critical redundancy, environmental resilience, or navigation adaptability under combined mission stresses." 2025-11-01T18:06:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/thermal_updraft_training_octocopter_volcanic_zone_188a5aaa97ee_mcq.json,uavbench-mcq-v1,thermal_updraft_training_octocopter_volcanic_zone,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"Which route adjustment optimizes time and safety given 12 m/s winds, a moving NFZ, and 10-minute limit?","This mission involves an octocopter conducting a survey in a volcanic zone with challenging environmental conditions. The UAV is equipped with RGB and thermal cameras, powered by a battery, and carries a 0.7 kg payload. Operations take place within a defined polygonal airspace up to 250 m AGL, featuring a static no-fly zone and a moving dynamic NFZ. Strong winds up to 12 m/s increase with altitude and shift direction, compounded by gusts and poor visibility. Thermal updrafts near plume centers provide lift, but temperature extremes and icing events pose risks. GNSS signals suffer from multipath effects, moderate jamming, and electromagnetic interference, affecting navigation accuracy. A second UAV and a moving spherical obstacle introduce traffic and collision concerns, requiring adherence to separation minima. The mission includes a planned corridor route with five waypoints and a 10-minute time budget, starting from a mid-air spawn. Battery endurance is critical, with reserve margins and potential icing degrading performance. Communication dropouts occur briefly twice during flight, demanding robust link management and contingency planning.",Climb to 250 m for faster transit using thermal updrafts,Descend below 150 m to avoid wind but risk visibility,Cut through static NFZ to save 90 seconds on schedule,"Reroute eastward, adding 300 m but clearing moving NFZ","Hold position until dynamic NFZ passes, delaying WPT3 by 2 min","Fly direct between WPT2 and WPT4, ignoring turn radius limits",Reduce speed to 8 m/s to improve GNSS lock stability,"[""Climb to 250 m for faster transit using thermal updrafts"", ""Descend below 150 m to avoid wind but risk visibility"", ""Cut through static NFZ to save 90 seconds on schedule"", ""Reroute eastward, adding 300 m but clearing moving NFZ"", ""Hold position until dynamic NFZ passes, delaying WPT3 by 2 min"", ""Fly direct between WPT2 and WPT4, ignoring turn radius limits"", ""Reduce speed to 8 m/s to improve GNSS lock stability""]","Rerouting east maintains separation from the moving NFZ while staying within wind-affected but navigable airspace. It adds distance but avoids constraint violations and preserves time-to-go margins. Other options breach NFZs, increase risk, or fail to account for drift and latency." 2025-11-01T18:06:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/thermal_updraft_training_hexacopter_jungle_cold_53915915a640_mcq.json,uavbench-mcq-v1,thermal_updraft_training_hexacopter_jungle_cold,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 6 min into mission, icing peaks and comms dropout occurs; UAV is near moving restricted zone, 40 m AGL, 3 min from last waypoint.","This is a thermal updraft training mission using a hexacopter in a jungle environment. The UAV is equipped with RGB and thermal cameras, relying on battery power with moderate payload and drag. The airspace is confined to 5–120 m AGL, featuring a static no-fly zone and a moving restricted zone that drifts southwest. Strong winds increase with altitude, shifting direction and including gusts up to 4.2 m/s, alongside poor visibility and icing conditions. Thermal updrafts are present at two locations, offering potential lift for energy-aware flight. GNSS signals suffer from multipath effects, jamming at -95 dBm, and electromagnetic interference. A single traffic UAV enters from the east, flying westbound at 40 m altitude. The mission involves a corridor survey with five waypoints, to be completed within 10 minutes under strict separation criteria. Icing severity increases mid-mission, affecting performance for one minute, while brief comms dropouts occur twice. Flight success depends on avoiding collisions, maintaining separation, respecting airspace limits, and managing battery and sensor faults.",Continue to final waypoint using dead reckoning,Abort mission and return via shortest path,Climb to 120 m AGL for stronger thermal updraft,Descend to 5 m AGL to avoid wind gusts,Enter restricted zone to cut survey time by 40 sec,Hover in place until comms and GPS restore,Eject battery to reduce weight and gain lift,"[""Continue to final waypoint using dead reckoning"", ""Abort mission and return via shortest path"", ""Climb to 120 m AGL for stronger thermal updraft"", ""Descend to 5 m AGL to avoid wind gusts"", ""Enter restricted zone to cut survey time by 40 sec"", ""Hover in place until comms and GPS restore"", ""Eject battery to reduce weight and gain lift""]","Safety requires aborting under sensor faults and worsening icing, which degrade control. Continuing risks loss of separation or crash near restricted zone. Returning ensures compliance with airspace and emergency prioritization despite mission loss." 2025-11-01T18:06:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/thermal_updraft_training_offshore_helicopter_9bf936580bcb_mcq.json,uavbench-mcq-v1,thermal_updraft_training_offshore_helicopter,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Which route completes five waypoints in 600 s, avoids NFZs, and adapts to GNSS fault at 300 s with 8 m/s west winds?","This is an offshore helicopter UAV inspection mission near an offshore platform. The UAV operates in controlled airspace between 10 and 150 meters AGL within a defined polygon geofence. Winds are from the west at 8 m/s with gusts up to 4 m/s, increasing in speed and shifting direction with altitude. The helicopter UAV carries a dual camera payload with RGB and thermal imaging, along with radar for navigation. It must avoid two no-fly zones—one static and one moving—and maintain separation from another UAV and a drifting spherical obstacle. Thermal updrafts are present near the mission area, which can be exploited for lift. GNSS multipath and electromagnetic interference degrade navigation quality, with a planned GNSS jamming fault at 300 seconds. The mission requires completing a corridor of five waypoints within 600 seconds while managing battery reserve. Key constraints include dynamic obstacles, sensor faults, communication dropouts, and strict separation thresholds for collision avoidance.","Direct path at 100 m AGL, ignore thermal updrafts","Follow geofence edge, descend to 20 m AGL near platform","Reroute east around moving NFZ, maintain 120 m AGL",Climb to 160 m AGL to avoid radar interference,Delay waypoint 3 until after GNSS jamming ends,Cut through static NFZ to save 45 s on schedule,"Use thermal updrafts at waypoint 2, adjust heading for gusts","[""Direct path at 100 m AGL, ignore thermal updrafts"", ""Follow geofence edge, descend to 20 m AGL near platform"", ""Reroute east around moving NFZ, maintain 120 m AGL"", ""Climb to 160 m AGL to avoid radar interference"", ""Delay waypoint 3 until after GNSS jamming ends"", ""Cut through static NFZ to save 45 s on schedule"", ""Use thermal updrafts at waypoint 2, adjust heading for gusts""]","Exploiting thermal updrafts conserves battery and counteracts wind gusts, improving time-to-go accuracy. Adjusting heading compensates for wind shift and preserves separation from drifting obstacle. This path stays within geofence, avoids NFZs, and maintains navigation resilience during GNSS fault." 2025-11-01T18:06:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/tower_spiral_inspection_warehouse_cold_6ba165dcefb1_mcq.json,uavbench-mcq-v1,tower_spiral_inspection_warehouse_cold,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 120s, icing increases weight by 5% and drag by 12% near (25m,20m,4m) with 2m/s wind from 135°; what response maintains stability and reserve?","This is an indoor warehouse inspection mission using a heavy-lift octocopter equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The UAV operates within a confined 50m x 40m polygonal airspace with a maximum altitude of 12m AGL and a minimum safe height of 0.5m. A cylindrical no-fly zone with a 3m radius is centered at (25m, 20m), requiring careful path planning. The mission involves a spiral trajectory around a central point to inspect a structure, starting and ending near the spawn point at (5m, 5m, 1m). Weather includes light wind from 135° at 2m/s with gusts up to 1.5m/s and icing conditions that trigger a moderate icing event at 120 seconds into the flight. The UAV must manage battery reserves carefully, with a 30% reserve required and energy consumption affected by drag and maneuvering. A moving spherical obstacle drifts leftward at 0.5m/s near (30m, 10m, 2m), requiring real-time avoidance. Separation assurance is monitored with a 5m threshold and 5-second time-to-closest-approach limit. GNSS signals may suffer multipath effects indoors, though the UAV relies on multiple sensors for positioning. The mission must be completed within 600 seconds while avoiding geofence breaches, collisions, and loss of separation.",Increase collective pitch to offset lift loss,Reduce airspeed to minimize drag penalty,Bank 30° right to accelerate spiral descent,Descend immediately to reduce angle of attack,Maintain current thrust; rely on thermal de-icing,Pitch up 8° to increase lift coefficient,Increase speed to 6m/s and adjust yaw for wind alignment,"[""Increase collective pitch to offset lift loss"", ""Reduce airspeed to minimize drag penalty"", ""Bank 30° right to accelerate spiral descent"", ""Descend immediately to reduce angle of attack"", ""Maintain current thrust; rely on thermal de-icing"", ""Pitch up 8° to increase lift coefficient"", ""Increase speed to 6m/s and adjust yaw for wind alignment""]","Increased drag and weight require higher thrust and dynamic pressure to maintain lift; increasing speed to 6m/s improves control authority and compensates for losses. Aligning yaw with the 135° wind vector reduces sideslip drag and enhances stability under gusts, preserving energy for the 30% reserve." 2025-11-01T18:06:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/tower_spiral_inspection_wind_farm_hail_36ce4b1bee54_mcq.json,uavbench-mcq-v1,tower_spiral_inspection_wind_farm_hail,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,How should the UAV respond to GNSS loss and intermittent downlink during spiral inspection at 14 m/s winds?,"This mission involves inspecting a wind turbine using a convertiplane UAV in a wind farm environment. The airspace is constrained between 5 and 150 meters AGL, with a cylindrical no-fly zone around the turbine base. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. Strong winds up to 14 m/s at altitude and gusty conditions are present, with wind direction shifting from west to northwest. Hail and poor visibility create challenging weather, compounded by GNSS multipath and electromagnetic interference. The UAV must perform a spiral inspection pattern around the turbine while avoiding a moving obstacle near one tower. A second UAV is present in the airspace, requiring separation of at least 25 meters or 20 seconds time-to-closest-approach. Communication downlink is intermittent, with two short loss windows, and the UAV experiences an icing event mid-mission. Battery reserve is set to 30%, and the mission requires use of a designated runway for landing. Success depends on completing the inspection within the time budget while maintaining safety and system integrity.",Rely solely on encrypted GNSS for position,Switch to LiDAR-inertial fusion with authenticated control loops,Hover using unencrypted telemetry from ground station,Descend immediately ignoring obstacle proximity,Trust GPS despite multipath; reduce control frequency,Use open Wi-Fi to stream sensor data for positioning,"Disable thermal camera to save power, ignore icing","[""Rely solely on encrypted GNSS for position"", ""Switch to LiDAR-inertial fusion with authenticated control loops"", ""Hover using unencrypted telemetry from ground station"", ""Descend immediately ignoring obstacle proximity"", ""Trust GPS despite multipath; reduce control frequency"", ""Use open Wi-Fi to stream sensor data for positioning"", ""Disable thermal camera to save power, ignore icing""]","LiDAR-inertial fusion maintains position accuracy during GNSS loss and resists spoofing. Encrypted control loops ensure command integrity despite downlink interruptions. This preserves safety, navigation resilience, and mission continuity under adversarial and environmental stress." 2025-11-01T18:06:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/thermal_updraft_training_wind_farm_cold_33151609702c_mcq.json,uavbench-mcq-v1,thermal_updraft_training_wind_farm_cold,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,Which system ensures fault-tolerant navigation during icing at 120s with 50m detect-and-avoid in 15 m/s winds?,"This is a UAV survey mission in a wind farm environment with cold weather and icing conditions. The airspace is confined between 20 and 300 meters AGL, featuring a static no-fly zone and a moving restricted zone. Winds increase with altitude, reaching up to 15 m/s from the west-northwest, with gusts and thermal updrafts present. The UAV is a battery-powered convertiplane equipped with thermal, RGB, LiDAR, and GNSS/IMU sensors. It must avoid GNSS multipath, electromagnetic interference, and periodic communication dropouts. The mission requires navigating a corridor pattern through five waypoints within 600 seconds. A runway landing is mandatory, with a transition from forward flight to vertical landing. The UAV faces an icing fault event at 120 seconds, reducing performance temporarily. Traffic and moving obstacles require separation monitoring, with detect-and-avoid thresholds set at 50 meters and 30 seconds TTC.",A- Monolithic flight controller with single IMU,B- Dual GNSS with cross-validated IMU fusion,C- Vision-only navigation during icing event,D- Pre-planned route ignoring dynamic obstacles,游戏副本E- LiDAR-first sensing in heavy gusts,F- Single thermal sensor for all navigation,G- Adaptive sensor fusion with redundancy,"[""A- Monolithic flight controller with single IMU"", ""B- Dual GNSS with cross-validated IMU fusion"", ""C- Vision-only navigation during icing event"", ""D- Pre-planned route ignoring dynamic obstacles"", ""游戏副本E- LiDAR-first sensing in heavy gusts"", ""F- Single thermal sensor for all navigation"", ""G- Adaptive sensor fusion with redundancy""]","G maintains navigation integrity by fusing GNSS, IMU, and LiDAR while adapting to sensor degradation from icing. It outperforms others in fault tolerance and wind rejection. Only G meets detect-and-avoid and communication dropout requirements simultaneously." 2025-11-01T18:06:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/thermal_updraft_training_urban_sandstorm_50c7326e8b95_mcq.json,uavbench-mcq-v1,thermal_updraft_training_urban_sandstorm,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"At 200s, GNSS fails amid sandstorm; visibility <500m, winds gust to 18m/s. Which action maximizes navigation integrity?","This UAV mission involves a helicopter conducting a survey in an urban canyon environment with poor visibility due to an active sandstorm. The area features strong and variable winds, increasing with altitude, and includes thermal updrafts that can be leveraged for lift. The UAV is equipped with radar, RGB and thermal cameras, and standard navigation sensors, but operates under significant GNSS challenges including multipath, jamming, and electromagnetic interference. A static no-fly zone and a moving no-fly zone restrict flight paths, while a geofenced airspace limits altitude between 5 and 120 meters AGL. The mission must be completed within 600 seconds, following a corridor pattern through five waypoints while avoiding collisions with static and moving obstacles. Another UAV is present in the airspace, requiring separation monitoring with a 25-meter threshold. Communication experiences a brief downlink loss window, and a severe GNSS jamming fault occurs at 200 seconds into the flight. The UAV starts with a full 450 Wh battery and must maintain sufficient reserve for safe return. Operating in discrete control mode, the UAV must adhere to strict safety metrics including minimum separation and time-to-collision thresholds. Landing options include a preferred site near the start and an emergency site at the opposite corner.",Rely solely on GNSS until signal returns,Switch to IMU-camera-odometry fusion,Descend to 5m AGL to avoid wind shear,Use radar-only altitude hold,Climb to 150m for clearer GNSS view,Hover until comms and GNSS restore,Follow thermal updrafts to save power,"[""Rely solely on GNSS until signal returns"", ""Switch to IMU-camera-odometry fusion"", ""Descend to 5m AGL to avoid wind shear"", ""Use radar-only altitude hold"", ""Climb to 150m for clearer GNSS view"", ""Hover until comms and GNSS restore"", ""Follow thermal updrafts to save power""]",IMU-camera fusion maintains pose estimation during GNSS outage by combining inertial data with visual features. Radar and thermal assist in obstacle avoidance amid poor visibility. This strategy respects altitude limits and sustains corridor progression despite wind and jamming. 2025-11-01T18:06:10Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/tower_spiral_inspection_wind_farm_icing_8d654e57b3c5_mcq.json,uavbench-mcq-v1,tower_spiral_inspection_wind_farm_icing,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,How should the UAV adjust its spiral path at 110m AGL when entering moderate GNSS jamming near the no-fly zone with 13.5 m/s winds?,"Fixed-wing UAV conducts wind turbine inspection in a coastal wind farm. Mission involves a spiral flight pattern around turbines at altitudes between 10 and 120 meters AGL. UAV is equipped with RGB and thermal cameras for structural and thermal anomaly detection. Weather includes strong winds up to 13.5 m/s, gusts, poor visibility, and in-flight icing conditions. A significant no-fly zone cylinder surrounds a central turbine, requiring careful path planning. GNSS signals experience multipath interference and moderate jamming, challenging navigation accuracy. A single traffic UAV crosses the area at low altitude, requiring separation monitoring. Icing event artificially reduces lift and increases drag for one minute during the mission. Communication experiences brief uplink/downlink dropouts, testing command reliability. The UAV must return and land on a designated runway while maintaining safe separation and battery reserves.",Decrease spiral radius to maintain proximity to turbine,Shift to circular pattern at constant 100m AGL,Increase altitude to 130m to avoid icing layer,Extend outward spiral to buffer GNSS drift and wind,Descend immediately to 5m AGL for visual navigation,Halt spiral and hover until GNSS signal stabilizes,Turn sharply toward runway to preempt icing risk,"[""Decrease spiral radius to maintain proximity to turbine"", ""Shift to circular pattern at constant 100m AGL"", ""Increase altitude to 130m to avoid icing layer"", ""Extend outward spiral to buffer GNSS drift and wind"", ""Descend immediately to 5m AGL for visual navigation"", ""Halt spiral and hover until GNSS signal stabilizes"", ""Turn sharply toward runway to preempt icing risk""]","Extending the outward spiral compensates for GNSS drift and strong winds by increasing separation margin from the no-fly zone. It preserves sensor coverage while avoiding NFZ breaches and maintains energy-efficient forward flight. Other options violate altitude limits, increase risk, or disrupt mission continuity." 2025-11-01T18:06:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/underground_mine_delivery_swarm_38f96b6db361_mcq.json,uavbench-mcq-v1,underground_mine_delivery_swarm,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,B,False,"Swarm drones deliver in a mine at 25-meter altitude with hail, wind, and GNSS jamming. How to handle partial motor failure in follower?","Swarm drones conduct an underground mine package delivery mission in confined, poorly lit conditions with hail and wind. The operation takes place entirely indoors with no GNSS availability and severe signal multipath and jamming. Four UAVs operate as a coordinated swarm with leader, followers, and a relay node maintaining 5-meter separation. Each octocopter carries a 0.5 kg payload and relies on LiDAR, IMU, magnetometer, barometer, and RGB camera for navigation. The mine environment imposes a 25-meter altitude limit and includes static and moving no-fly zones. A dynamic obstacle and another UAV traffic add complexity to path planning and collision avoidance. Communication suffers from intermittent uplink loss and EM interference, requiring autonomous decision-making. The mission includes three fault events: GNSS jamming, partial motor failure, and icing on rotors. Drones must complete a corridor-style delivery route within 600 seconds while managing battery reserves and environmental hazards.",Descend to 10 meters to reduce wind load and stabilize flight,Increase rotor speed to compensate for motor failure using remaining motors,Offload payload to another drone and return via shortest path,Maintain formation and altitude using IMU feedback and reduced speed,Ascend to 24 meters for better LiDAR mapping and obstacle clearance,"Hover until leader re-routes swarm, preserving 5-meter separation",Eject payload and climb rapidly to avoid collision with relay node,"[""Descend to 10 meters to reduce wind load and stabilize flight"", ""Increase rotor speed to compensate for motor failure using remaining motors"", ""Offload payload to another drone and return via shortest path"", ""Maintain formation and altitude using IMU feedback and reduced speed"", ""Ascend to 24 meters for better LiDAR mapping and obstacle clearance"", ""Hover until leader re-routes swarm, preserving 5-meter separation"", ""Eject payload and climb rapidly to avoid collision with relay node""]","Increasing rotor speed compensates for partial motor failure while maintaining control authority and formation integrity. It balances aerodynamic demand, energy cost, and swarm coordination without violating altitude limits or safety margins. Other options risk instability, mission failure, or breach of separation and operational constraints." 2025-11-01T18:06:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/tower_spiral_inspection_fixed_wing_ae601dc5f691_mcq.json,uavbench-mcq-v1,tower_spiral_inspection_fixed_wing,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During GNSS multipath and 20-second downlink loss, how should the UAV maintain secure, stable control above 20 m AGL?","Fixed-wing UAV conducts tower inspection at a bridge site using a spiral flight pattern. The mission operates in a confined airspace with a maximum altitude of 150 m AGL and a minimum of 20 m AGL. Weather conditions include strong 8 m/s winds from 240°, gusts up to 4 m/s, poor visibility, and hail. The UAV is equipped with RGB and thermal cameras for visual inspection data collection. A no-fly zone is enforced as a cylinder around the central tower, extending from 20 m to 60 m altitude. A moving spherical obstacle simulates dynamic hazards near the inspection target. Another UAV is present in the airspace, requiring separation monitoring with a 25 m threshold. The UAV must perform a runway-assisted takeoff and landing due to fixed-wing limitations. An icing event occurs mid-mission, degrading performance for 60 seconds. Communication experiences a brief 20-second downlink loss, and GNSS multipath may affect navigation near structures.",Continue mission using encrypted telemetry and INS-GPS blended navigation,Switch to open-loop timer-based controls to save power,Transmit unencrypted video to restore command link,Hover in place using GPS-only positioning despite errors,Descend to 15 m AGL to reduce wind impact and signal bounce,Accept waypoint commands from ground station via unauthenticated relay,Disable intrusion detection to reduce processing load during icing,"[""Continue mission using encrypted telemetry and INS-GPS blended navigation"", ""Switch to open-loop timer-based controls to save power"", ""Transmit unencrypted video to restore command link"", ""Hover in place using GPS-only positioning despite errors"", ""Descend to 15 m AGL to reduce wind impact and signal bounce"", ""Accept waypoint commands from ground station via unauthenticated relay"", ""Disable intrusion detection to reduce processing load during icing""]","A maintains integrity and availability via encrypted telemetry and resilient navigation blending inertial and degraded GNSS. It ensures control stability during communication loss and multipath, preventing spoofing or hijacking. Other options expose the UAV to cyber intrusion, physical instability, or violation of altitude constraints." 2025-11-01T18:06:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/tower_spiral_inspection_urban_canyon_crosswind_81b8a51f3aab_mcq.json,uavbench-mcq-v1,tower_spiral_inspection_urban_canyon_crosswind,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"UAV must inspect tower in 600s with 30% battery reserve, 8.5 m/s crosswinds, and 10m separation in urban canyon.","This mission involves a UAV inspection of a tower using a spiral flight pattern in an urban canyon environment. The airspace is constrained by static and moving no-fly zones, including a cylindrical exclusion zone around the tower and a dynamic obstacle. The UAV is a single-rotor helicopter equipped with RGB camera and LiDAR payload, powered by a 450 Wh battery. It operates under strong crosswinds from 240° at 8.5 m/s with gusts up to 4.2 m/s, impacting stability and energy use. The flight must maintain separation of at least 10 meters from other traffic, monitored via DAA systems. GNSS signals may experience multipath interference due to surrounding buildings, and brief communication losses are expected. The UAV spawns near the inspection site and must return safely within a 600-second time budget. Battery reserve is set to 30%, and energy consumption is affected by wind and maneuvering drag. The mission includes loitering at multiple altitudes around the tower while avoiding obstacles and adhering to altitude and geofence limits.","Proceed with spiral pattern, accepting minor GNSS drift",Descend to reduce wind impact despite lower LoS,Abort mission if battery drops below 35% SOC,Fly closer than 10m to speed up inspection,Continue past 600s if inspection is 90% complete,Ignore dynamic obstacle if DAA shows low collision risk,Loiter longer at each level for better data quality,"[""Proceed with spiral pattern, accepting minor GNSS drift"", ""Descend to reduce wind impact despite lower LoS"", ""Abort mission if battery drops below 35% SOC"", ""Fly closer than 10m to speed up inspection"", ""Continue past 600s if inspection is 90% complete"", ""Ignore dynamic obstacle if DAA shows low collision risk"", ""Loiter longer at each level for better data quality""]","Safety requires honoring battery reserve to ensure return, especially in high-wind conditions that increase energy uncertainty. Continuing under degraded GNSS and dynamic obstacles risks uncontrolled failure near civilians. C prioritizes safe return over data completeness, aligning with ethical and operational safety standards." 2025-11-01T18:06:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/tower_spiral_inspection_hexacopter_mountain_gusts_85090026921a_mcq.json,uavbench-mcq-v1,tower_spiral_inspection_hexacopter_mountain_gusts,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,How should the UAV respond to GNSS multipath and 8.5 m/s winds during spiral inspection near a no-fly zone?,"This is an inspection mission using a hexacopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs in mountainous terrain with good visibility but strong winds at 8.5 m/s and gusts up to 4.2 m/s from 240 degrees. The UAV must perform a spiral inspection pattern around a central point while avoiding a cylindrical no-fly zone with a 30-meter radius. The mission is constrained by a maximum altitude of 300 meters AGL and a minimum of 50 meters AGL, with a geofenced rectangular area bounding the operational zone. A second UAV is present in the airspace, moving at 12 m/s, requiring separation management. The hexacopter carries a 0.5 kg payload and relies on battery power with a 30% reserve requirement. GNSS signals may experience multipath effects due to the mountainous environment. The UAV must maintain at least 25 meters separation and 15 seconds time-to-closest-approach to avoid traffic conflicts. A moving spherical obstacle drifts through the area, adding dynamic collision risk during the spiral maneuver.",Rely solely on encrypted GNSS with RTK correction,Switch to optical flow and LiDAR-based positioning,Increase control loop frequency to 200 Hz,Authenticate telemetry every 5 seconds,Disable thermal camera to save power,Use unencrypted backup radio link,Hover and wait for GNSS signal stabilization,"[""Rely solely on encrypted GNSS with RTK correction"", ""Switch to optical flow and LiDAR-based positioning"", ""Increase control loop frequency to 200 Hz"", ""Authenticate telemetry every 5 seconds"", ""Disable thermal camera to save power"", ""Use unencrypted backup radio link"", ""Hover and wait for GNSS signal stabilization""]","B maintains position integrity using sensor diversity when GNSS is unreliable due to multipath, ensuring control stability under wind disturbances. It avoids reliance on potentially spoofed signals and preserves mission continuity. Other options either expose cyber vulnerabilities or fail to ensure physical resilience." 2025-11-01T18:06:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/tower_spiral_inspection_jungle_dust_b0f1ccd81aa5_mcq.json,uavbench-mcq-v1,tower_spiral_inspection_jungle_dust,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,"Which path avoids the 15m-radius NFZ up to 80m while optimizing spiral ascent from (10,10,20) under GNSS drift and wind gusts?","Quadrotor UAV conducts a tower inspection mission in a dense jungle environment. The mission involves a spiral flight pattern around a structure located at the center of the operational area. Operating altitude ranges from 10 to 120 meters above ground level within a defined 200x200 meter geofenced zone. A cylindrical no-fly zone of 15-meter radius surrounds the tower up to 80 meters in altitude. Wind blows from the south at 6 m/s with gusts up to 3 m/s, reducing visibility due to airborne dust. The UAV is equipped with GNSS, IMU, barometer, lidar, and RGB camera for navigation and data collection. Battery capacity is 320 Wh with a 30% reserve required for safe return. Flight time is limited to 600 seconds, with takeoff from near (10,10,20) and preferred landing at (10,10,0). Separation threshold for conflict detection is set at 25 meters with a 15-second time-to-collision alert. Challenging conditions include GNSS multipath from dense canopy and dust interference with sensors.","Spiral clockwise at 20m radius, ascend 2m/s to 120m","Fly straight to (25,25,80), hover, then climb to 120m","Spiral counterclockwise at 14m radius, ascend to 100m","Ascend to 120m first, then spiral at 16m radius","Follow zigzag pattern from (10,10,20) to (30,30,120)","Deviate north 10m, spiral at 18m radius to 110m","Descend to (10,10,10), then spiral outward at 25m","[""Spiral clockwise at 20m radius, ascend 2m/s to 120m"", ""Fly straight to (25,25,80), hover, then climb to 120m"", ""Spiral counterclockwise at 14m radius, ascend to 100m"", ""Ascend to 120m first, then spiral at 16m radius"", ""Follow zigzag pattern from (10,10,20) to (30,30,120)"", ""Deviate north 10m, spiral at 18m radius to 110m"", ""Descend to (10,10,10), then spiral outward at 25m""]","Option F maintains safe distance from the 15m NFZ by deviating north and uses an 18m spiral radius, accommodating GNSS multipath and wind-induced drift. It begins at optimal altitude, minimizing energy use while preserving sensor visibility in dusty conditions. Other options either penetrate the NFZ, increase exposure time, or waste battery on inefficient profiles." 2025-11-01T18:06:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/underground_mine_hexacopter_touch_and_go_9f835fb5c6b1_mcq.json,uavbench-mcq-v1,underground_mine_hexacopter_touch_and_go,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best ensures mission success with 0.5kg payload, 600s endurance, and lidar-IMU navigation in GNSS-denied mine?","This mission involves a touch-and-go flight pattern in an underground mine using a hexacopter UAV equipped with lidar, RGB camera, and IMU-based navigation. The confined airspace spans 200m by 150m with a maximum altitude of 50m AGL and includes a cylindrical no-fly zone at the center. GNSS is unreliable due to multipath effects and jamming, requiring reliance on inertial and lidar sensors for positioning. The environment features poor visibility, light wind from 120 degrees, and two thermal updraft zones that may affect stability. The UAV must follow a custom runway pattern starting and ending near the threshold at (10,75,5), performing a full pass along the 180m runway axis. A second UAV flies cross-traffic at 8 m/s, and a moving spherical obstacle drifts laterally at 5 m/s, requiring real-time avoidance. Communication links are intermittent with three planned downlink/uplink loss windows, simulating harsh RF conditions. The hexacopter carries a 0.5kg payload and must manage battery reserves carefully over the 600-second time budget. Flight control uses discrete commands including yaw, altitude, and lateral movements within a 10m separation minima for collision avoidance. Mission success depends on completing the touch-and-go without geofence breaches, collisions, or altitude violations despite sensor and comms challenges.","Monocular vision-only drone, no redundant systems, 700s endurance","Quadcopter with lidar, IMU, 0.4kg max payload, 620s flight time","Hexacopter with dual IMUs, lidar, RGB, 0.6kg payload, 580s endurance","Fixed-wing UAV, GNSS-dependent, 0.5kg payload, 750s range","Octocopter with lidar, IMU, 0.7kg payload, 550s endurance, high power use","Hexacopter with single IMU, no RGB, 0.5kg payload, 610s endurance","VTOL with thermal sensors only, 600s endurance, 0.5kg payload","[""Monocular vision-only drone, no redundant systems, 700s endurance"", ""Quadcopter with lidar, IMU, 0.4kg max payload, 620s flight time"", ""Hexacopter with dual IMUs, lidar, RGB, 0.6kg payload, 580s endurance"", ""Fixed-wing UAV, GNSS-dependent, 0.5kg payload, 750s range"", ""Octocopter with lidar, IMU, 0.7kg payload, 550s endurance, high power use"", ""Hexacopter with single IMU, no RGB, 0.5kg payload, 610s endurance"", ""VTOL with thermal sensors only, 600s endurance, 0.5kg payload""]","The hexacopter in C matches the required payload, integrates lidar-IMU-RGB for navigation and situational awareness, and maintains a 580s endurance within the 600s budget. It exceeds minimal redundancy with dual IMUs, enhancing reliability in GNSS-denied, thermally disturbed environments. Other options lack sensor fusion, sufficient payload, or fault tolerance under comms and sensor challenges." 2025-11-01T18:06:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/underground_mine_medical_delivery_a4a460608ff6_mcq.json,uavbench-mcq-v1,underground_mine_medical_delivery,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"Convertiplane must deliver medical payload in 200m x 300m mine, avoid 20m-radius NFZ up to 30m AGL, and bypass drifting obstacle moving west at 2 m/s.","Emergency medical delivery mission in an underground mine using a convertiplane UAV. The UAV operates within a confined 200m x 300m airspace, altitude limited from 0 to 60m AGL. Weather includes poor visibility, dust, and light wind at 3–4 m/s with variable direction. The UAV relies on IMU, lidar, camera, and barometer due to no GNSS and severe GNSS multipath. A 20m-radius cylindrical no-fly zone blocks the central area from 0–30m altitude. The UAV carries a 2kg medical payload and must reach the target within 600 seconds. It transitions between VTOL and forward flight with defined transition timing. A moving spherical obstacle drifts westward at 2 m/s near the flight path. Another UAV travels west at 12 m/s, requiring separation of at least 25m. Communication suffers intermittent uplink/downlink loss, with two major outage windows.","Fly direct at 40m AGL, ignoring downlink outages",Climb to 60m AGL immediately to avoid all obstacles,Descend to 10m AGL and divert east around NFZ,"Transition to forward flight at 35m AGL, head west",Delay launch until other UAV is 25m away,Hover at 50m AGL until obstacle clears path,"Fly west at 35m AGL, descend to 25m when near NFZ","[""Fly direct at 40m AGL, ignoring downlink outages"", ""Climb to 60m AGL immediately to avoid all obstacles"", ""Descend to 10m AGL and divert east around NFZ"", ""Transition to forward flight at 35m AGL, head west"", ""Delay launch until other UAV is 25m away"", ""Hover at 50m AGL until obstacle clears path"", ""Fly west at 35m AGL, descend to 25m when near NFZ""]","Option G balances NFZ avoidance, obstacle clearance, and separation. It flies above 25m to maintain safe distance from the NFZ's 30m ceiling while staying below 60m AGL. Descending to 25m near the NFZ avoids the central cylinder and reduces collision risk with the other UAV at higher altitudes, all within mission time and sensor constraints." 2025-11-01T18:06:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/underground_mine_inspection_a1d63efdc425332d_b875404d4c8a_mcq.json,uavbench-mcq-v1,underground_mine_inspection_a1d63efdc425332d,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During a 300-second simulated icing event in low visibility, how should the UAV adjust sensor fusion for reliable navigation within the 100x80 m mine?","This is an underground mine inspection mission using a battery-powered octocopter UAV equipped with LiDAR, RGB camera, IMU, magnetometer, and barometer. The flight occurs entirely underground with no GNSS availability, relying on alternative navigation sensors. The environment has poor visibility and includes icing conditions that may affect UAV performance. The mine airspace is confined within a 100x80 meter polygon, with a maximum altitude of 50 meters AGL and a cylindrical no-fly zone in the center. The UAV must follow a corridor inspection pattern through five waypoints while avoiding the no-fly zone. Communication links are unreliable, with planned uplink and downlink outages during the mission. A simulated icing event occurs at 300 seconds, increasing drag and reducing control effectiveness for one minute. The UAV starts with a full 450 Wh battery and must complete the mission within 600 seconds while maintaining safe separation from obstacles. Key constraints include limited comms, sensor outages, battery reserve requirements, and environmental hazards.",Increase reliance on magnetometer for heading stability,Switch to pure IMU dead reckoning during comms outages,Fuse LiDAR with IMU to correct drift in zero-GNSS,Use barometer as primary altitude reference despite icing,Rely on RGB optical flow in poor visibility conditions,Disable LiDAR to reduce computational load in fog,Trust GNSS during signal dropouts in underground tunnel,"[""Increase reliance on magnetometer for heading stability"", ""Switch to pure IMU dead reckoning during comms outages"", ""Fuse LiDAR with IMU to correct drift in zero-GNSS"", ""Use barometer as primary altitude reference despite icing"", ""Rely on RGB optical flow in poor visibility conditions"", ""Disable LiDAR to reduce computational load in fog"", ""Trust GNSS during signal dropouts in underground tunnel""]","LiDAR provides precise obstacle-relative positioning, which when tightly fused with IMU, corrects inertial drift without GNSS. This maintains navigation integrity in zero-visibility and GNSS-denied environments. Other sensors like magnetometer or barometer are vulnerable to local interference and icing-induced errors." 2025-11-01T18:06:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/underground_mine_swarm_inspection_27a4750be140_mcq.json,uavbench-mcq-v1,underground_mine_swarm_inspection,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"With GNSS denied, 5m UAV separation, and dust reducing visibility to 10m, which sensor fusion strategy ensures reliable navigation and obstacle avoidance?","This mission involves a swarm of four UAVs conducting an inspection in an underground mine. The confined airspace is limited to 1 to 15 meters above ground, with a defined polygonal geofence and a central no-fly cylinder. GNSS is unavailable, requiring reliance on IMU, lidar, barometer, and magnetometer for navigation. Environmental conditions include poor visibility due to dust haze and light winds at 2 m/s from 135 degrees. Each UAV is a rotorcraft with eight rotors, equipped with RGB cameras and lidar for structural inspection. The swarm operates in coordinated roles: leader, follower, scout, and relay, maintaining at least 5 meters separation. A moving spherical obstacle drifts slowly through the environment, requiring dynamic avoidance. Communication links experience intermittent uplink and downlink outages during specific time windows. The mission must be completed within 600 seconds, starting from a designated spawn point and ending at a preferred landing site.",Use lidar only; it's immune to dust and provides cm-level accuracy,Rely on IMU integration alone; it's stable over 600-second missions,Fuse lidar with barometer and magnetometer; correct IMU drift in real time,Prioritize magnetometer headings; they align well with geofence boundaries,Depend on visual odometry; RGB cameras detect the moving obstacle best,Use barometer for altitude; it's unaffected by magnetic interference,Weight lidar and IMU equally; ignore magnetometer due to ore-induced distortion,"[""Use lidar only; it's immune to dust and provides cm-level accuracy"", ""Rely on IMU integration alone; it's stable over 600-second missions"", ""Fuse lidar with barometer and magnetometer; correct IMU drift in real time"", ""Prioritize magnetometer headings; they align well with geofence boundaries"", ""Depend on visual odometry; RGB cameras detect the moving obstacle best"", ""Use barometer for altitude; it's unaffected by magnetic interference"", ""Weight lidar and IMU equally; ignore magnetometer due to ore-induced distortion""]","Lidar provides precise local mapping despite dust, while barometer and magnetometer help constrain IMU drift in altitude and heading. Fusing them corrects cumulative errors in confined, GNSS-denied spaces. Magnetometer use is limited but still valuable when filtered for disturbances near ore walls." 2025-11-01T18:06:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/underground_mine_touch_and_go_7c7003ff5914_mcq.json,uavbench-mcq-v1,underground_mine_touch_and_go,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,Which system ensures reliable navigation at 30 m AGL with 8–10 m/s winds and no GNSS during 2 communication outages?,"This is a touch-and-go mission in an underground mine using a convertiplane UAV equipped with LiDAR, RGB camera, and IMU-based navigation. The UAV operates in confined airspace with a maximum altitude of 30 meters AGL and a rectangular geofence enclosing the area. Wind speeds range from 8 to 10 m/s from the west, with gusts and poor visibility due to icing conditions. GNSS is unavailable; the UAV relies on dead reckoning with significant multipath and electromagnetic interference. A no-fly cylinder blocks the central area, and a moving spherical obstacle drifts through the corridor. The mission follows a linear corridor pattern with takeoff, flyover, and touch-and-go landing on a designated runway. Communication is fully lost during two time windows, requiring autonomous operation. An icing event occurs mid-mission, reducing aerodynamic efficiency by 60% for one minute. The UAV must manage battery reserves carefully while avoiding collisions and maintaining separation from obstacles. Success depends on precise navigation, energy management, and resilience to environmental faults.",Pure GNSS-dependent autopilot,Vision-only SLAM in low visibility,LiDAR-IMU sensor fusion with drift correction,GPS-aided dead reckoning only,Open-loop dead reckoning without updates,RF beacon triangulation in multipath,Manual control during outage periods,"[""Pure GNSS-dependent autopilot"", ""Vision-only SLAM in low visibility"", ""LiDAR-IMU sensor fusion with drift correction"", ""GPS-aided dead reckoning only"", ""Open-loop dead reckoning without updates"", ""RF beacon triangulation in multipath"", ""Manual control during outage periods""]","LiDAR-IMU fusion enables accurate SLAM in GNSS-denied, multipath-heavy environments. It resists drift better than pure dead reckoning and outperforms vision in poor visibility. This system maintains navigation integrity during communication outages and adapts to dynamic obstacles and icing-induced dynamics." 2025-11-01T18:06:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/tower_spiral_inspection_volcanic_hot_256228114595_mcq.json,uavbench-mcq-v1,tower_spiral_inspection_volcanic_hot,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,A,False,Two UAVs coordinate near a volcanic zone with 10 m/s winds and a moving spherical obstacle; what ensures safe spiral inspection at 120 m AGL?,"This UAV mission involves inspecting a structure using a spiral flight pattern near a volcanic zone. The octocopter operates in restricted airspace with a maximum altitude of 120 meters AGL and is confined by a polygonal geofence. A static no-fly zone surrounds the central area, and a dynamic no-fly zone moves slowly through the airspace. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, supporting detailed inspection under challenging conditions. Strong winds up to 10 m/s increase with altitude and shift direction, while thermal plumes create updrafts of 2 m/s. Heat haze reduces visibility quality, and GNSS signals suffer from multipath effects and moderate jamming at -75 dBm. Electromagnetic interference and periodic communication dropouts further challenge control and data links. The UAV must avoid a moving spherical obstacle and maintain separation from another UAV on a crossing path. Battery endurance is limited, with a 30% reserve required for safe return. The mission emphasizes navigation resilience, sensor performance, and real-time obstacle avoidance in a complex, dynamic environment.",UAV1 leads spiral while UAV2 trails by 50 m maintaining comms,Both UAVs ascend simultaneously to maximize sensor overlap,UAV2 ignores dynamic zone to maintain formation symmetry,UAVs reduce separation to 20 m for tighter coverage,UAV1 transmits LiDAR data every 10 s to conserve bandwidth,UAVs synchronize spiral timing to cross paths at apex,One UAV halts while the other passes the static no-fly zone,"[""UAV1 leads spiral while UAV2 trails by 50 m maintaining comms"", ""Both UAVs ascend simultaneously to maximize sensor overlap"", ""UAV2 ignores dynamic zone to maintain formation symmetry"", ""UAVs reduce separation to 20 m for tighter coverage"", ""UAV1 transmits LiDAR data every 10 s to conserve bandwidth"", ""UAVs synchronize spiral timing to cross paths at apex"", ""One UAV halts while the other passes the static no-fly zone""]",UAV1 leading with 50 m separation ensures collision avoidance and maintains RF/LiDAR link despite jamming. This staggered coordination respects dynamic obstacle motion and wind-induced drift. Option A enables real-time deconfliction while preserving mission continuity and sensor coverage. 2025-11-01T18:06:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_canyon_border_patrol_vtol_fba179f7ea13_mcq.json,uavbench-mcq-v1,urban_canyon_border_patrol_vtol,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"At 140 m AGL, winds 12 m/s with GNSS jamming at -75 dBm, which navigation strategy maintains corridor alignment and swarm separation?","This is a border patrol mission using a VTOL tiltrotor UAV in an urban canyon environment. The operation takes place within a defined rectangular airspace with a minimum altitude of 10 meters AGL and a maximum of 150 meters AGL. Weather conditions include strong winds at 8 m/s from 240 degrees, increasing to 12 m/s at higher altitudes, with gusts, poor visibility, and dust. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors, but faces GNSS multipath, jamming at -75 dBm, and electromagnetic interference. A static no-fly zone is present near the center of the area, and a dynamic no-fly zone moves northwest at 3.6 m/s. The mission involves a three-UAV swarm flying a corridor pattern with loitering, requiring coordinated separation of at least 20 meters between units. Collision avoidance is enforced with a 25-meter separation threshold and 15-second time-to-collision buffer. The UAV must return to a designated runway for landing, with a transition from fixed-wing to VTOL mode required. Battery capacity is limited, with a reserve of 30% required for safe operation. Communication experiences brief dropouts, and thermal updrafts near (320,450) may affect flight stability.",Prioritize GNSS despite jamming; use LiDAR for altitude hold,Switch to IMU-visual fusion with thermal camera drift correction,Rely solely on LiDAR in urban canyon for position locking,Increase reliance on magnetic heading during EM interference,Use GPS-aided IMU with 2-second update smoothing,Depend on RGB optical flow in poor visibility and dust,Maintain fixed-wing mode and ignore thermal updrafts,"[""Prioritize GNSS despite jamming; use LiDAR for altitude hold"", ""Switch to IMU-visual fusion with thermal camera drift correction"", ""Rely solely on LiDAR in urban canyon for position locking"", ""Increase reliance on magnetic heading during EM interference"", ""Use GPS-aided IMU with 2-second update smoothing"", ""Depend on RGB optical flow in poor visibility and dust"", ""Maintain fixed-wing mode and ignore thermal updrafts""]","IMU-visual fusion compensates for GNSS jamming and urban multipath, while thermal data corrects visual drift in dusty conditions. This preserves swarm coordination and navigation accuracy. LiDAR may suffer occlusion, and magnetic/RGB systems degrade under interference and poor visibility." 2025-11-01T18:06:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/underground_mine_aerial_mapping_haps_6e8938545b3d_mcq.json,uavbench-mcq-v1,underground_mine_aerial_mapping_haps,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,Plan a route avoiding the drifting exclusion zone and spherical obstacle while maintaining 2–30 m AGL and completing mapping in 600 s.,"This is an underground mine aerial mapping mission using a high-altitude pseudo-satellite UAV equipped with LiDAR, radar, RGB camera, and standard navigation sensors. The UAV operates within a confined rectangular airspace bounded between 2 and 30 meters AGL, featuring a static no-fly zone and a moving exclusion zone that drifts diagonally. The environment has poor visibility with hail, moderate crosswinds from the west, and significant GNSS multipath interference combined with electromagnetic noise and signal jamming. The UAV must complete a grid-pattern mapping route within 600 seconds, starting and ending near designated sites while avoiding collisions. A second UAV enters the airspace from outside, requiring dynamic separation monitoring with a 15-meter threshold. A moving spherical obstacle travels horizontally across the path, adding complexity to trajectory planning. Communication links are intermittent, with two planned loss windows disrupting uplink and downlink. An icing event occurs at 120 seconds, degrading performance for one minute. Battery endurance is critical, with high hover power consumption and a 30% reserve requirement. The mission demands robust navigation despite GNSS outages, sensor interference, and environmental hazards.","Fly direct east at 10 m AGL, ignore obstacle drift, optimize for shortest path","Ascend to 35 m AGL to bypass jamming, proceed on grid, descend after 300 s",Delay launch by 45 s to wait for clearer GNSS signal before entering NFZ,"Reroute south at 15 m AGL to avoid obstacle, adjust grid spacing to save time",Hover at waypoint 3 for 60 s during icing event to ensure sensor stability,"Proceed west at 20 m AGL, cut through edge of moving exclusion zone to save 40 s",Reduce speed by 30% throughout to improve navigation accuracy in hail,"[""Fly direct east at 10 m AGL, ignore obstacle drift, optimize for shortest path"", ""Ascend to 35 m AGL to bypass jamming, proceed on grid, descend after 300 s"", ""Delay launch by 45 s to wait for clearer GNSS signal before entering NFZ"", ""Reroute south at 15 m AGL to avoid obstacle, adjust grid spacing to save time"", ""Hover at waypoint 3 for 60 s during icing event to ensure sensor stability"", ""Proceed west at 20 m AGL, cut through edge of moving exclusion zone to save 40 s"", ""Reduce speed by 30% throughout to improve navigation accuracy in hail""]","D avoids the moving obstacle and exclusion zone while staying within AGL bounds and preserving time efficiency. It adapts the grid path without violating NFZ or increasing hover time. Other options breach altitude limits, cut exclusion zones, or extend mission duration beyond 600 s." 2025-11-01T18:06:11Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_canyon_corridor_follow_hexacopter_64296bc449ae_mcq.json,uavbench-mcq-v1,urban_canyon_corridor_follow_hexacopter,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"At 230s, icing reduces thrust; UAV must avoid dynamic no-fly zone moving east and maintain 15m separation from another UAV in 8 m/s winds.","This is an urban inspection mission using a hexacopter UAV equipped with RGB camera, LiDAR, and full navigation sensors. The flight occurs in a dense urban canyon environment with tall buildings creating tight corridor navigation. Winds are moderate at 8 m/s from the west, increasing with altitude and including gusts up to 4 m/s. The UAV must follow a predefined corridor pattern within a geofenced airspace bounded between 10 and 60 meters AGL. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves eastward, requiring real-time avoidance. Another UAV and a moving spherical obstacle traverse the airspace, demanding separation assurance with a 15-meter minimum. GNSS signals suffer from multipath effects and moderate jamming at -95 dBm, compounded by electromagnetic interference. Icing conditions are present, with a simulated icing event reducing performance between 200 and 260 seconds. Communication experiences brief downlink outages, and battery reserve is constrained to 30% for safe return.",Climb to 60m AGL for clearer GNSS and reduced wind gusts,Descend to 10m AGL to minimize wind exposure and power use,Match eastward speed to dynamic no-fly zone for stable avoidance,Execute holding pattern at reduced speed to wait out icing event,Shift north laterally while ascending to preserve communication link,Increase bank angle to accelerate turn away from approaching UAV,Coordinate speed reduction with other UAV to align timing and spacing,"[""Climb to 60m AGL for clearer GNSS and reduced wind gusts"", ""Descend to 10m AGL to minimize wind exposure and power use"", ""Match eastward speed to dynamic no-fly zone for stable avoidance"", ""Execute holding pattern at reduced speed to wait out icing event"", ""Shift north laterally while ascending to preserve communication link"", ""Increase bank angle to accelerate turn away from approaching UAV"", ""Coordinate speed reduction with other UAV to align timing and spacing""]","G ensures synchronized speed adjustment between agents, maintaining 15m separation and avoiding collision during reduced maneuverability. It preserves communication timing and avoids conflicting avoidance maneuvers. Other options either break altitude bounds, increase risk during icing, or disrupt inter-agent situational awareness." 2025-11-01T18:06:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/underground_mine_convoy_escort_octocopter_ff69574dce0b_mcq.json,uavbench-mcq-v1,underground_mine_convoy_escort_octocopter,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which UAV configuration best handles GNSS denial, 1.2 kg payload, and motor failure at 400 s in a mine?","This mission involves an octocopter conducting an inspection in an underground mine environment. The UAV operates within a confined polygonal airspace with a maximum altitude of 15 meters AGL and a minimum of 0.5 meters. Weather conditions include a 3 m/s wind from the west, gusts up to 2 m/s, poor visibility, and hail, though the underground setting mitigates some atmospheric effects. The UAV relies on IMU, lidar, camera, and barometer for navigation due to the absence of GNSS and presence of GNSS multipath and jamming at -85 dBm. Electromagnetic interference further challenges sensor performance. The mission includes static and dynamic no-fly zones, with one moving cylinder threatening the flight path. A second UAV and a moving spherical obstacle introduce traffic separation challenges, requiring adherence to a 5-meter separation threshold. The octocopter carries a 1.2 kg payload and must complete a corridor-style waypoint route within 600 seconds. Battery endurance is limited, with a reserve fraction of 30% and susceptibility to wind and manoeuvring drag. The UAV must also endure a GNSS jamming fault at 200 seconds and a partial motor failure at 400 seconds, all while maintaining safe flight despite intermittent uplink losses.",Quadcopter with lightweight frame and minimal redundancy,Hexacopter with dual IMUs and mid-range battery,Octocopter with single sensor suite and no backup power,"Octocopter with dual-redundant IMU, lidar, and fault-tolerant ESCs",Fixed-wing UAV with high endurance but poor maneuverability,Quadcopter with extra battery instead of motor redundancy,Octocopter with camera-only navigation and no lidar,"[""Quadcopter with lightweight frame and minimal redundancy"", ""Hexacopter with dual IMUs and mid-range battery"", ""Octocopter with single sensor suite and no backup power"", ""Octocopter with dual-redundant IMU, lidar, and fault-tolerant ESCs"", ""Fixed-wing UAV with high endurance but poor maneuverability"", ""Quadcopter with extra battery instead of motor redundancy"", ""Octocopter with camera-only navigation and no lidar""]","The octocopter with dual-redundant IMU, lidar, and fault-tolerant ESCs maintains stability after partial motor failure and GNSS denial. It supports the 1.2 kg payload and operates safely in low visibility and EM interference. Other options lack sufficient redundancy, sensor diversity, or maneuverability for the confined, dynamic mine environment." 2025-11-01T18:06:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/underground_mine_facade_inspection_helicopter_1924e1483301_mcq.json,uavbench-mcq-v1,underground_mine_facade_inspection_helicopter,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 200 s, icing reduces lift by 15%; wind is 1.5 m/s from 135°. What adjustment maintains altitude without stalling?","This mission involves a single helicopter UAV conducting a facade inspection in an underground mine environment. The airspace is confined with a maximum altitude of 15 meters AGL and includes both static and moving no-fly zones. Visibility is poor, with light wind from 135 degrees, gusts up to 1.5 m/s, and hazardous icing conditions present. The UAV is battery-powered, equipped with LIDAR, RGB camera, IMU, barometer, and magnetometer, but lacks GNSS and thermal imaging. GNSS signals are unreliable due to multipath effects and jamming, and electromagnetic interference further degrades sensor performance. The flight area is bounded by a polygonal geofence, with a static no-fly cylinder at the center and a dynamically moving obstacle zone near the southeast sector. A second UAV and a moving spherical obstacle traverse the space, requiring real-time separation management with a minimum safe distance of 5 meters. The mission has a 600-second time limit and follows a corridor inspection pattern across five waypoints, avoiding obstacles and maintaining safe altitudes. Communication links are intermittent, with two planned downlink/uplink outages, and an icing fault is simulated at 200 seconds, affecting aerodynamic performance.","Increase collective pitch slightly, reduce airspeed to 3 m/s","Decrease angle of attack, maintain 5 m/s forward speed","Increase throttle, keep pitch attitude unchanged","Bank 20° into wind, descend to 10 m AGL","Reduce rotor RPM, increase cyclic forward","Increase pitch attitude above 12°, reduce thrust","Apply left yaw, hold 15 m altitude, reduce speed to 2 m/s","[""Increase collective pitch slightly, reduce airspeed to 3 m/s"", ""Decrease angle of attack, maintain 5 m/s forward speed"", ""Increase throttle, keep pitch attitude unchanged"", ""Bank 20° into wind, descend to 10 m AGL"", ""Reduce rotor RPM, increase cyclic forward"", ""Increase pitch attitude above 12°, reduce thrust"", ""Apply left yaw, hold 15 m altitude, reduce speed to 2 m/s""]","Icing degrades airfoil performance, reducing lift coefficient and increasing stall risk. Increasing throttle compensates for lost lift by boosting thrust and rotor downwash, restoring lift without increasing angle of attack. Maintaining pitch avoids exceeding critical AoA under degraded aerodynamics, ensuring control margin in confined, turbulent air." 2025-11-01T18:06:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_canyon_glider_touch_and_go_5e0fd411e752_mcq.json,uavbench-mcq-v1,urban_canyon_glider_touch_and_go,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,F,False,A fixed-wing glider must land and take off in an urban canyon below 150 m AGL with GNSS multipath and a second UAV at 15 m/s eastbound.,"This is a touch-and-go mission using a fixed-wing glider UAV in an urban canyon environment. The flight occurs within a defined airspace corridor between 10 and 150 meters AGL, bounded by a polygonal geofence. A cylindrical no-fly zone with a 20-meter radius and ceiling at 80 meters is centered at (100,150), requiring careful path planning. The glider is equipped with a battery-powered electric propulsion system and carries an RGB camera payload for visual navigation. It relies on GNSS, IMU, magnetometer, and barometer for state estimation, making it susceptible to signal multipath in dense urban areas. Winds are from the west at 6 m/s with gusts up to 3 m/s, affecting approach and departure stability. The mission requires alignment with a runway threshold at (0,0,10) heading 270 degrees, following a corridor pattern to execute a touch-and-go maneuver. A second UAV is present in the airspace, traveling east at 15 m/s, necessitating separation assurance with a 25-meter minimum distance threshold. The glider must complete the mission within 600 seconds while maintaining battery reserves and avoiding altitude or geofence violations.",Use GNSS-only navigation; ignore IMU drift to reduce compute load,Disable encryption on telemetry to minimize transmission latency,Authenticate commands but allow unverified position overrides,Continuously broadcast position without rate limiting or obfuscation,Rely solely on barometer for altitude near the 80 m no-fly zone,"Fuse GNSS, IMU, and visual cues with weighted trust scoring",Switch to magnetometer-only heading during strong wind gusts,"[""Use GNSS-only navigation; ignore IMU drift to reduce compute load"", ""Disable encryption on telemetry to minimize transmission latency"", ""Authenticate commands but allow unverified position overrides"", ""Continuously broadcast position without rate limiting or obfuscation"", ""Rely solely on barometer for altitude near the 80 m no-fly zone"", ""Fuse GNSS, IMU, and visual cues with weighted trust scoring"", ""Switch to magnetometer-only heading during strong wind gusts""]","F integrates sensor redundancy with dynamic trust assessment, mitigating GNSS multipath and spoofing risks. It preserves control stability under wind disturbances and ensures resilient state estimation. Other choices expose the UAV to spoofing, data injection, or loss of situational awareness." 2025-11-01T18:06:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/underground_mine_powerline_inspection_fixed_wing_058c7d9293bb_mcq.json,uavbench-mcq-v1,underground_mine_powerline_inspection_fixed_wing,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,"Which UAV configuration best ensures inspection reliability at 1–15 m altitude with icing, GNSS denial, and a drifting obstacle?","Fixed-wing UAV conducts powerline inspection in an underground mine. Mission takes place in a confined rectangular airspace with a 10-meter-radius no-fly zone at the center. Poor visibility and hail reduce environmental conditions, with moderate wind from the south. UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. GNSS multipath and electromagnetic interference challenge positioning accuracy. Flight altitude is restricted between 1 and 15 meters above ground. Mission requires runway takeoff and landing, with a predefined threshold and heading. A moving spherical obstacle drifts vertically through the inspection corridor. Communications experience periodic uplink outages, though downlink remains functional. An icing event occurs mid-mission, affecting aerodynamics and requiring robust fault handling.","Fixed-wing with de-icing, LiDAR SLAM, and RTK-GPS",Fixed-wing with visual odometry and no de-icing,Quadcopter with thermal camera and GNSS fallback,Fixed-wing with IMU-only navigation and pitot heat,Hybrid VTOL with redundant comms and de-icing,Fixed-wing using RGB-SfM and command hold during outages,Fixed-wing with radar altimeter and hail-resistant fuselage,"[""Fixed-wing with de-icing, LiDAR SLAM, and RTK-GPS"", ""Fixed-wing with visual odometry and no de-icing"", ""Quadcopter with thermal camera and GNSS fallback"", ""Fixed-wing with IMU-only navigation and pitot heat"", ""Hybrid VTOL with redundant comms and de-icing"", ""Fixed-wing using RGB-SfM and command hold during outages"", ""Fixed-wing with radar altimeter and hail-resistant fuselage""]","Option A combines de-icing for aerodynamic stability, LiDAR SLAM for GNSS-denied navigation, and RTK-GPS as a secondary aid when available, ensuring positioning accuracy and obstacle avoidance. Other options lack critical fault tolerance: B risks control loss from icing, C violates runway requirement, D lacks obstacle detection, E ignores fixed-wing constraint, F depends on unreliable vision in poor visibility, and G omits navigation in multipath environments. A provides optimal trade-offs in safety, reliability, and mission adherence." 2025-11-01T18:06:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/underground_mine_icing_convertiplane_47b431e18c6a_mcq.json,uavbench-mcq-v1,underground_mine_icing_convertiplane,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,C,False,"During icing (40% severity, 60s), UAV detects 10m separation breach with second UAV moving west. Wind: moderate. What action prioritizes safety?","This is an underground mine inspection mission using a battery-powered convertiplane UAV equipped with GNSS, IMU, lidar, and RGB camera. The UAV operates in a confined airspace with a maximum altitude of 50 meters AGL and must navigate around static and dynamic no-fly zones, including a moving cylindrical obstacle. Weather conditions include moderate wind from the south, gusts, poor visibility, and icing conditions that trigger a fault event lasting 60 seconds with 40% severity. The UAV has a runway requirement for transition between VTOL and fixed-wing flight, with defined transition times. A second UAV is present in the airspace, moving westward, requiring separation maintenance of at least 10 meters or 5 seconds time-to-closest-approach. Communication is subject to intermittent uplink loss and low signal strength, though downlink remains functional. The mission involves following a corridor pattern through four waypoints within a 600-second time budget, starting near the southeast and ending near the northeast. Battery reserve is set at 30%, and performance is monitored for mission success, collisions, DAA breaches, battery levels, icing detection, and geofence compliance. The payload adds 2 kg with minor drag, and GNSS multipath effects may occur due to the enclosed mine environment.",Continue mission; trust DAA to resolve conflict,Climb to 50m AGL for separation clearance,Abort mission immediately; initiate return,Descend rapidly to avoid collision,Accelerate through corridor to save time,Hover and wait 60 seconds for icing to pass,Transition to fixed-wing with 15s runway,"[""Continue mission; trust DAA to resolve conflict"", ""Climb to 50m AGL for separation clearance"", ""Abort mission immediately; initiate return"", ""Descend rapidly to avoid collision"", ""Accelerate through corridor to save time"", ""Hover and wait 60 seconds for icing to pass"", ""Transition to fixed-wing with 15s runway""]",Aborting ensures separation and respects emergency hierarchy under degraded flight performance. Continuing risks collision due to reduced control in icing and DAA unreliability during uplink loss. Safety-of-life overrides mission completion within 600s. 2025-11-01T18:06:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_canyon_gnss_challenge_octocopter_snowfall_158ddd5d9012_mcq.json,uavbench-mcq-v1,urban_canyon_gnss_challenge_octocopter_snowfall,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,G,False,"At 135s, GNSS jamming and comms loss persist; wind is 8 m/s. A moving obstacle approaches within 40m. What should the UAV prioritize?","This UAV mission is an inspection task conducted in a mountainous urban canyon environment with snowfall and poor visibility. The octocopter UAV carries an RGB camera and LIDAR payload for data collection. It operates under challenging weather conditions with 8 m/s winds from 240 degrees and moderate gusts. The airspace includes static and moving no-fly zones, with a dynamic obstacle traversing the area horizontally. GNSS signals are degraded due to multipath effects and intentional jamming at -85 dBm. A GNSS jamming fault is simulated from 120 to 165 seconds, exacerbating navigation difficulties. Communication suffers from a 45-second downlink outage during the same period. The UAV must maintain separation from another traffic UAV and a moving spherical obstacle. Flight is constrained between 10 m and 120 m AGL within a defined geofenced polygon. Battery endurance and navigation reliability are critical concerns due to environmental and system challenges.",Continue mission; obstacle is non-threatening,Ascend to 120m to avoid collision,Abort mission; return to base immediately,Descend below 10m for terrain shielding,Hover indefinitely until comms restore,Eject payload to reduce risk,Adjust path laterally to maintain separation,"[""Continue mission; obstacle is non-threatening"", ""Ascend to 120m to avoid collision"", ""Abort mission; return to base immediately"", ""Descend below 10m for terrain shielding"", ""Hover indefinitely until comms restore"", ""Eject payload to reduce risk"", ""Adjust path laterally to maintain separation""]","The UAV must maintain safe separation from dynamic obstacles while respecting altitude, geofence, and communication constraints. Continuing the mission without action (A) or hovering (E) increases collision risk. Ascending (B) or descending (D) violates altitude limits. Aborting (C) is excessive without imminent danger. Ejecting payload (F) endangers ground personnel. Lateral path adjustment (G) safely mitigates risk within operational bounds, preserving safety and mission integrity under degraded navigation." 2025-11-01T18:06:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_canyon_gnss_challenge_swarm_9d15593aa200_mcq.json,uavbench-mcq-v1,urban_canyon_gnss_challenge_swarm,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,A,False,"At 200 seconds, with 8 m/s westerly winds and GNSS jamming, how should UAVs adjust pitch and airspeed to maintain grid alignment and separation?","This is a multi-UAV swarm mission conducting an urban canyon survey near an airport perimeter. The operation takes place in a 200m x 200m geofenced airspace with a static no-fly zone and a moving restricted area. Weather conditions include strong westerly winds at 8 m/s, gusts up to 4 m/s, rain, and poor visibility. The swarm consists of five battery-powered quadcopters equipped with GNSS, IMU, lidar, RGB cameras, and communication relays. Significant GNSS challenges are present due to multipath effects, jamming at -85 dBm, and a planned 30-second GNSS jamming fault at 200 seconds. UAVs must maintain a minimum 10-meter separation within the swarm and avoid dynamic traffic and a moving spherical obstacle. The mission requires completing a rectangular grid survey pattern below 120m AGL within 600 seconds. Communication links experience two brief loss windows, and signal strength may drop to -95 dBm. The UAVs must also comply with DAA separation thresholds of 25 meters and 15 seconds TTC. Landing sites are designated at the start point and an emergency alternate to the east.",Increase pitch by 5° and airspeed to 16 m/s to counter wind drift,Decrease pitch to -3° and reduce airspeed to 8 m/s for stability,Maintain 0° pitch and 12 m/s airspeed; rely on IMU and lidar,Increase pitch to 10° and hold 12 m/s to boost vertical lift,Reduce airspeed to 6 m/s and increase pitch to 12° for precision,Bank 15° into wind while decreasing airspeed to 10 m/s,Accelerate to 18 m/s with 0° pitch to traverse jam zone faster,"[""Increase pitch by 5° and airspeed to 16 m/s to counter wind drift"", ""Decrease pitch to -3° and reduce airspeed to 8 m/s for stability"", ""Maintain 0° pitch and 12 m/s airspeed; rely on IMU and lidar"", ""Increase pitch to 10° and hold 12 m/s to boost vertical lift"", ""Reduce airspeed to 6 m/s and increase pitch to 12° for precision"", ""Bank 15° into wind while decreasing airspeed to 10 m/s"", ""Accelerate to 18 m/s with 0° pitch to traverse jam zone faster""]","Increasing pitch and airspeed compensates for headwind-induced groundspeed loss and maintains lift in reduced air density due to rain-cooled air. A 16 m/s airspeed ensures sufficient Reynolds number for control authority during gusts. Option A balances thrust, drag, and lift to sustain formation and survey timing despite GNSS denial." 2025-11-01T18:06:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_canyon_gps_spoof_heavy_lift_7a2918f24cc6_mcq.json,uavbench-mcq-v1,urban_canyon_gps_spoof_heavy_lift,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During 80% GNSS spoofing at 10–120m AGL with 8.5 m/s winds, what ensures resilient navigation and control?","Heavy-lift UAV conducts an urban delivery mission through a dense city canyon environment. Flight occurs between 10 and 120 meters AGL within a defined rectangular geofenced area. Winds are strong at 8.5 m/s from 240 degrees with gusts up to 4.2 m/s, but visibility is good. The UAV carries a 5 kg payload and relies on battery power with a hover draw of 1800 W. It is equipped with GNSS, IMU, lidar, camera, and other standard sensors but no radar or thermal imaging. A static no-fly zone blocks the central area, while a second cylinder-shaped NFZ moves dynamically. Another UAV approaches head-on from the south at 12 m/s, requiring separation management. A slowly moving spherical obstacle drifts westward at ground level along the route. GNSS spoofing occurs mid-mission for 45 seconds with 80% severity, compounded by constant EM interference. Communication experiences two brief downlink loss windows, and the system must maintain safe separation.",Rely solely on encrypted GNSS with no fallback,Switch to lidar-IMU dead reckoning with spoofing detection,Increase control frequency to 200 Hz without authentication,Transmit unencrypted telemetry every 2 seconds,Trust GNSS during spoofing due to strong signal,Disable intrusion detection to reduce sensor latency,Use camera-only navigation during EM interference,"[""Rely solely on encrypted GNSS with no fallback"", ""Switch to lidar-IMU dead reckoning with spoofing detection"", ""Increase control frequency to 200 Hz without authentication"", ""Transmit unencrypted telemetry every 2 seconds"", ""Trust GNSS during spoofing due to strong signal"", ""Disable intrusion detection to reduce sensor latency"", ""Use camera-only navigation during EM interference""]","Lidar-IMU fusion provides physical-layer redundancy when GNSS is compromised, maintaining position integrity. Encrypted, authenticated sensor data ensures control-loop confidentiality and resilience. This choice enables spoofing detection and safe geofenced flight despite wind and EM interference." 2025-11-01T18:06:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/thermal_updraft_training_wind_farm_67d5d8fdee36_mcq.json,uavbench-mcq-v1,thermal_updraft_training_wind_farm,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 100 m AGL, winds are 9.5 m/s westerly shifting clockwise; thermal updrafts lift two quadcopters. Which aerodynamic adjustment maximizes energy-efficient climb?","This is a multi-drone swarm mission for thermal updraft training within a wind farm environment. The airspace is bounded between 10 and 120 meters AGL, with a fixed geofenced polygon and two no-fly zones—one static and one moving. Winds increase with altitude, ranging from 6 m/s at ground level to 9.5 m/s at 100 meters, with westerly direction shifting clockwise. Thermal plumes provide lift at two locations, supporting energy-efficient flight. The UAVs are small quadcopters equipped with RGB and thermal cameras, powered by batteries with a 220 Wh capacity. GNSS signals suffer from multipath effects and mild jamming, while electromagnetic interference affects sensors. The swarm of five drones must maintain a minimum 10-meter separation and navigate around a moving spherical obstacle and dynamic no-fly zone. Communication experiences brief downlink losses between 120–130 and 300–315 seconds. The mission involves a coordinated survey along a grid pattern with a time limit of 600 seconds.",Increase pitch to 15° to maximize vertical lift,Reduce airspeed to minimize induced drag,Align thrust vector with relative wind to reduce drag,Descend to 10 m for stable GNSS and lower wind,Bank 30° into thermal for centripetal lift,Increase throttle to overcome downdraft drag,Fly perpendicular to wind to exploit shear,"[""Increase pitch to 15° to maximize vertical lift"", ""Reduce airspeed to minimize induced drag"", ""Align thrust vector with relative wind to reduce drag"", ""Descend to 10 m for stable GNSS and lower wind"", ""Bank 30° into thermal for centripetal lift"", ""Increase throttle to overcome downdraft drag"", ""Fly perpendicular to wind to exploit shear""]","Aligning thrust with the relative wind vector minimizes drag and optimizes lift-to-drag ratio in a dynamic wind environment. At 100 m, higher wind speed and directional shear increase power demand. Matching thrust to airflow direction reduces parasitic drag and conserves battery, critical for 220 Wh-limited flight." 2025-11-01T18:06:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_bridge_inspection_hail_d35eb172611d_mcq.json,uavbench-mcq-v1,urban_bridge_inspection_hail,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 50 m AGL in 12 m/s winds and hail, GNSS degrades; which sensor fusion strategy maintains navigation integrity near the bridge?","This scenario involves a helicopter UAV conducting an urban bridge inspection mission in a dense urban canyon environment. The UAV operates within a defined airspace from 5 to 80 meters AGL, constrained by static and dynamic no-fly zones, including a central cylinder exclusion and a moving obstacle near the bridge structure. Weather conditions include strong winds up to 12 m/s with gusts, poor visibility, and active hail, increasing flight risk. The UAV is equipped with a battery-powered rotorcraft system, RGB and thermal cameras, LiDAR, and standard navigation sensors, but faces GNSS multipath, electromagnetic interference, and brief communication dropouts. A dynamic no-fly zone moves through the area, requiring real-time avoidance, while another UAV and a horizontally moving spherical obstacle challenge separation integrity. The mission follows a corridor pattern with five waypoints, requiring tight navigation around structures and adherence to a 10-minute time budget. The UAV must avoid stalls and battery depletion, with a 30% reserve required and icing events degrading performance mid-mission. Communication links experience two short loss windows, and GNSS signal degradation may occur due to urban canyon effects. Flight safety is monitored via DAA thresholds, geofence compliance, and minimum separation from obstacles and other traffic.",Rely solely on GNSS with last-known position hold,Switch to IMU-only dead reckoning for 90 seconds,Fuse LiDAR with visual odometry and IMU data,Use thermal camera for feature tracking in low visibility,Prioritize GPS and magnetometer for heading,Reset heading using magnetic field after dropout,Depend on RGB camera with inertial slip compensation,"[""Rely solely on GNSS with last-known position hold"", ""Switch to IMU-only dead reckoning for 90 seconds"", ""Fuse LiDAR with visual odometry and IMU data"", ""Use thermal camera for feature tracking in low visibility"", ""Prioritize GPS and magnetometer for heading"", ""Reset heading using magnetic field after dropout"", ""Depend on RGB camera with inertial slip compensation""]","LiDAR provides precise range data despite hail, while visual odometry and IMU compensate for GNSS dropouts and urban multipath. This fusion reduces drift in urban canyons. Other options fail due to magnetic interference, visual obscuration, or unbounded IMU error growth." 2025-11-01T18:06:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_canyon_inspection_haps_9cdbaac24812_mcq.json,uavbench-mcq-v1,urban_canyon_inspection_haps,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 350 m AGL with 12 m/s westerly wind and gusts, what airspeed and pitch adjustment maintains lift and control in the urban canyon?","This is an urban canyon infrastructure inspection mission using a high-altitude pseudo-satellite UAV. The flight occurs in a dense city environment with tall buildings creating narrow corridors. Weather includes strong westerly winds up to 12 m/s at higher altitudes, gusts, poor visibility, and airborne dust. The UAV is equipped with a comprehensive sensor suite including GNSS, IMU, camera, thermal, lidar, and radar for navigation and data collection. It operates between 50 and 400 meters AGL within a defined 500x500 meter geofenced polygon. A static no-fly zone blocks the central area, and a dynamic no-fly zone moves westward at 2 m/s. GNSS signals suffer from multipath and moderate jamming at -75 dBm, with electromagnetic interference present. The UAV must avoid collisions with static and moving obstacles while maintaining separation from other air traffic. Communication links experience brief outages at 100 and 450 seconds into the mission. The mission requires completing a corridor-style waypoint loop within 10 minutes while managing energy and navigation challenges.",Increase airspeed to 25 m/s and pitch up 10°,Decrease airspeed to 10 m/s and pitch up 15°,Maintain 18 m/s with pitch 5° up,Reduce airspeed to 12 m/s and pitch down 3°,"Increase thrust, hold level pitch at 8 m/s",Bank 45° left while pitching up 12°,Descend at 3 m/s with zero pitch and 20 m/s,"[""Increase airspeed to 25 m/s and pitch up 10°"", ""Decrease airspeed to 10 m/s and pitch up 15°"", ""Maintain 18 m/s with pitch 5° up"", ""Reduce airspeed to 12 m/s and pitch down 3°"", ""Increase thrust, hold level pitch at 8 m/s"", ""Bank 45° left while pitching up 12°"", ""Descend at 3 m/s with zero pitch and 20 m/s""]","At 350 m AGL, density altitude reduces air density, requiring sufficient airspeed and angle of attack to maintain lift without stalling. Option C balances 18 m/s airflow and 5° pitch to sustain lift-to-drag efficiency while resisting gust-induced separation. Other choices either exceed critical angle of attack, reduce Reynolds number excessively, or create unbalanced side forces in crosswind conditions." 2025-11-01T18:06:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_canyon_firefighting_drop_b6d555f3ea15_mcq.json,uavbench-mcq-v1,urban_canyon_firefighting_drop,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Fixed-wing UAV has 10-minute mission, 150m AGL ceiling, and fire retardant drag. How to maximize drop accuracy and return?","Fixed-wing UAV conducts firefighting drop mission in an urban canyon environment. Operates within a 150-meter AGL ceiling, navigating narrow corridors between tall buildings. Strong winds up to 12 m/s with directional shear and gusts challenge stability and path tracking. Equipped with thermal and RGB cameras for fire detection and precision payload delivery. Payload includes fire retardant with added drag, impacting aerodynamic efficiency. GNSS signals suffer from multipath and jamming, requiring resilient navigation solutions. No-fly zones include a static cylinder near the city center and a moving exclusion zone. Dynamic obstacles and another UAV in the airspace require strict separation monitoring. Mission is time-constrained with a 10-minute budget and requires runway-aligned takeoff and landing. Icing conditions and comms dropouts introduce system faults, testing fault tolerance and safety.",Fly highest altitude to extend glide range,Reduce camera resolution to save power,Jettison half payload early to cut drag,Use full GNSS updates every 2 seconds,Circle waiting for wind to stabilize,Skip thermal imaging to save energy,Adaptive path replanning with sensor fusion,"[""Fly highest altitude to extend glide range"", ""Reduce camera resolution to save power"", ""Jettison half payload early to cut drag"", ""Use full GNSS updates every 2 seconds"", ""Circle waiting for wind to stabilize"", ""Skip thermal imaging to save energy"", ""Adaptive path replanning with sensor fusion""]","Adaptive path replanning fuses inertial, visual, and sparse GNSS data to maintain navigation under jamming, minimizing energy-intensive holding patterns. It balances computation load and flight efficiency to ensure timely delivery and return within the 10-minute window. Other options either waste energy, compromise safety, or reduce mission-critical sensing." 2025-11-01T18:06:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_canyon_bridge_inspection_6d07c95c8c33_mcq.json,uavbench-mcq-v1,urban_canyon_bridge_inspection,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,B,False,"UAV must inspect bridge with 7.5 m/s winds at 240°, dust, and GNSS at -85 dBm; how to optimize energy and data under these conditions?","Fixed-wing UAV conducts bridge inspection in an urban canyon environment. Mission involves flying a predefined corridor pattern near tall buildings. Weather includes 7.5 m/s winds at 240° with gusts up to 4 m/s and poor visibility due to dust. UAV is equipped with RGB camera payload for visual data collection. GNSS signals are degraded due to multipath effects and moderate jamming at -85 dBm. Electromagnetic interference and wind shear across altitude layers challenge navigation. Flight altitude is restricted between 15 m and 120 m AGL within a defined polygonal geofence. A cylindrical no-fly zone blocks access to a central area near the bridge structure. The UAV must maintain runway alignment for landing and avoid a moving spherical obstacle. Traffic includes another UAV crossing the airspace at 18 m/s from the south.",Fly maximum altitude to avoid wind shear and buildings,Reduce camera resolution to save power and stabilize flight,Circle the no-fly zone to maintain visual line of sight,Increase speed to minimize exposure to gusts and traffic,Transmit full HD video continuously to ground station,Hover at waypoints to improve GNSS signal acquisition,Follow direct path through urban canyon at minimum speed,"[""Fly maximum altitude to avoid wind shear and buildings"", ""Reduce camera resolution to save power and stabilize flight"", ""Circle the no-fly zone to maintain visual line of sight"", ""Increase speed to minimize exposure to gusts and traffic"", ""Transmit full HD video continuously to ground station"", ""Hover at waypoints to improve GNSS signal acquisition"", ""Follow direct path through urban canyon at minimum speed""]","Reducing camera resolution lowers power draw and computational load, conserving battery for stability in wind. It balances data quality with endurance, avoiding risky maneuvers. Other options increase energy use or exposure to navigation errors in degraded GNSS." 2025-11-01T18:06:12Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_canyon_recon_vtol_308999c3158b_mcq.json,uavbench-mcq-v1,urban_canyon_recon_vtol,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,D,False,"Which path optimally navigates the urban canyon at 60–120m AGL, avoids both NFZs, and reaches all four waypoints within 10 minutes?","This is a fixed-wing area reconnaissance mission conducted by a VTOL tiltrotor UAV in an urban canyon environment. The flight occurs within a 200m x 200m airspace bounded between 20m and 150m AGL, featuring tall buildings that create tight urban canyon conditions. The UAV is equipped with a battery-powered propulsion system, carries an RGB camera payload, and is outfitted with GNSS, IMU, lidar, and other standard sensors. Winds are moderate at 6.5 m/s from 135 degrees with gusts up to 3.2 m/s, affecting low-altitude flight stability. A static no-fly zone (NFZ) is present at the center of the area, and a dynamic NFZ moves through the airspace, requiring real-time avoidance. The mission requires the UAV to transition from VTOL to fixed-wing mode and back, following a grid pattern over four waypoints within a 10-minute time limit. The UAV must maintain separation of at least 25 meters from obstacles and other traffic, with a minimum time-to-closest approach of 15 seconds. GNSS multipath effects are a concern due to surrounding structures, potentially degrading positioning accuracy. The UAV spawns at the southeast corner and must eventually return to the designated runway threshold for landing. Collision avoidance, battery endurance, and geofence compliance are critical constraints throughout the mission.",Fly direct diagonally through central static NFZ to save time,Circle dynamic NFZ at 180m AGL exceeding upper geofence limit,"Follow grid pattern at 25m AGL, risking building proximity in wind gusts","Reroute eastward around dynamic NFZ at 110m AGL, maintaining 30m separation",Descend to 15m AGL after waypoint 2 to reduce GNSS multipath interference,"Climb to 160m AGL for clearer GNSS signal, violating altitude ceiling",Skip waypoint 3 to preserve battery for return under wind load,"[""Fly direct diagonally through central static NFZ to save time"", ""Circle dynamic NFZ at 180m AGL exceeding upper geofence limit"", ""Follow grid pattern at 25m AGL, risking building proximity in wind gusts"", ""Reroute eastward around dynamic NFZ at 110m AGL, maintaining 30m separation"", ""Descend to 15m AGL after waypoint 2 to reduce GNSS multipath interference"", ""Climb to 160m AGL for clearer GNSS signal, violating altitude ceiling"", ""Skip waypoint 3 to preserve battery for return under wind load""]","Option D maintains safe lateral and vertical separation from obstacles and NFZs while operating within the 20–150m AGL band. It adapts the grid route to avoid the moving NFZ without excessive detour, preserving time and energy. Other options violate geofencing, NFZ rules, obstacle clearance, or mission waypoint requirements." 2025-11-01T18:06:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_canyon_gnss_challenge_bridge_site_20935169cf26_mcq.json,uavbench-mcq-v1,urban_canyon_gnss_challenge_bridge_site,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,"At 175s, UAV faces icing onset and must maintain 100–450m AGL in 600s mission with 200–210s comms dropout.","This is an urban inspection mission using a high-altitude pseudo-satellite UAV equipped with radar, RGB camera, and standard navigation sensors. The flight occurs near a bridge site within a defined airspace corridor between 100 and 450 meters AGL. The environment features poor visibility, icing conditions, and moderate to strong winds increasing with altitude, shifting direction from 240° to 270°. GNSS signals are degraded due to multipath effects and intentional jamming at -75 dBm, with a planned GNSS outage event. A cylindrical no-fly zone centered at (400, 300) restricts access within 50 meters, requiring careful path planning. The UAV must follow a rectangular corridor pattern, inspecting the area within a 600-second time limit, and must use a designated runway for transition maneuvers. Communication links experience brief dropouts between 200–210 and 310–325 seconds, with minimum RSSI at -85 dBm. The UAV faces two fault events: an icing incident at 180 seconds affecting performance and a severe GNSS jam at 300 seconds. Air traffic includes one conflicting UAV moving westbound at 15 m/s, requiring DAA compliance with a 25-meter separation threshold. A moving spherical obstacle travels east at 5 m/s, adding dynamic collision risk.",Climb to 450m for better wind clearance before icing worsens,Descend to 120m to reduce icing risk and avoid multipath zone,Hold altitude and reduce speed to conserve energy for jamming,Divert immediately to runway ignoring inspection pattern,Accelerate east to finish inspection before GNSS jam at 300s,Turn north to avoid NFZ despite breaking rectangular pattern,Ascend to 400m and delay inspection until after comms dropout,"[""Climb to 450m for better wind clearance before icing worsens"", ""Descend to 120m to reduce icing risk and avoid multipath zone"", ""Hold altitude and reduce speed to conserve energy for jamming"", ""Divert immediately to runway ignoring inspection pattern"", ""Accelerate east to finish inspection before GNSS jam at 300s"", ""Turn north to avoid NFZ despite breaking rectangular pattern"", ""Ascend to 400m and delay inspection until after comms dropout""]","Descending to 120m AGL stays within the allowed corridor, reduces exposure to worsening icing and strong winds at higher altitudes, and avoids the worst GNSS multipath near the ground while preserving energy. Other options either violate altitude limits, increase icing risk, or disrupt timing for faults and communication dropouts." 2025-11-01T18:06:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_canyon_glider_recon_2171294ea424_mcq.json,uavbench-mcq-v1,urban_canyon_glider_recon,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"During 1-minute icing at 30m AGL in hail with GNSS dropouts, how should navigation adapt to maintain route integrity?","Fixed-wing glider conducts urban canyon reconnaissance mission in poor visibility with hail and strong winds from the west. Flight occurs within a confined 200m x 150m urban airspace corridor, bounded between 30m and 150m AGL. The UAV is equipped with RGB camera payload for visual data collection and relies on GNSS/IMU navigation. A static no-fly zone blocks the central lower airspace, while a second moving no-fly zone drifts southwest. Additional dynamic traffic includes a crossing UAV and a slowly drifting spherical obstacle. A de-icing system is required as an icing event impairs aerodynamics for one minute mid-mission. Communication dropouts occur twice, disrupting uplink and downlink between 180–190s and 450–465s. The UAV must maintain 25m separation and 15s time-to-closest-approach for detect-and-avoid compliance. Emergency landing is available at the southeast corner if needed. Mission success depends on completing the reconnaissance route within 10 minutes despite weather, obstacles, and sensor faults.",Trust GNSS exclusively; IMU drift exceeds 10m/min,Switch to visual odometry; RGB clarity drops below 50m,Rely on IMU-visual fusion; GNSS multipath high in canyons,Use magnetic heading; urban steel causes 30° deviation,Descend to 25m; violates 30m AGL minimum altitude,Hover until comms restore; fixed-wing cannot hover,Follow last waypoint; ignores moving no-fly zone drift,"[""Trust GNSS exclusively; IMU drift exceeds 10m/min"", ""Switch to visual odometry; RGB clarity drops below 50m"", ""Rely on IMU-visual fusion; GNSS multipath high in canyons"", ""Use magnetic heading; urban steel causes 30° deviation"", ""Descend to 25m; violates 30m AGL minimum altitude"", ""Hover until comms restore; fixed-wing cannot hover"", ""Follow last waypoint; ignores moving no-fly zone drift""]","GNSS multipath and dropouts in urban canyons degrade position accuracy, requiring tighter IMU-visual fusion to compensate. Visual data, though limited by hail, retains short-range feature trackability for aiding IMU drift. This fusion strategy maintains situational awareness and avoids dynamic obstacles despite environmental degradation." 2025-11-01T18:06:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_canyon_gnss_challenge_swarm_bridge_026a961d6f03_mcq.json,uavbench-mcq-v1,urban_canyon_gnss_challenge_swarm_bridge,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"Which action optimizes swarm inspection under 6 m/s crosswinds, 5–80 m altitude limits, and GNSS jamming at -85 dBm?","Swarm drone mission for bridge inspection in an urban canyon environment with poor visibility and fog. Operates within a defined airspace near a bridge site, featuring strict altitude limits from 5 to 80 meters AGL. Weather includes 6 m/s crosswinds from the west, gusts up to 3.5 m/s, and a wind gradient increasing with altitude. Five UAVs of identical multirotor design, equipped with GNSS, IMU, lidar, RGB camera, and IMU-based navigation. Payload includes visual sensors for structural inspection, with moderate drag affecting flight efficiency. Challenged by GNSS multipath, signal jamming at -85 dBm, and electromagnetic interference in dense urban setting. No-fly zones include a static cylinder around the bridge center and a moving restricted zone drifting slowly. Dynamic obstacles include a horizontally moving sphere and another UAV flying through the airspace. Communication experiences brief uplink/downlink loss windows, requiring resilient data handling. Swarm coordination must maintain 5-meter separation while navigating tight corridors and avoiding collisions.",Increase altitude to 75 m for better GNSS signal clarity,Descend to 10 m to reduce wind exposure and drift,Maintain 40 m altitude with lidar-assisted navigation and reduced speed,Ascend rapidly to 80 m to avoid moving obstacle collision,Hover collectively at 5 m to await communication reacquisition,Disperse laterally beyond 5 m separation to improve signal diversity,Fly at 60 m with maximum thrust to counteract wind gusts,"[""Increase altitude to 75 m for better GNSS signal clarity"", ""Descend to 10 m to reduce wind exposure and drift"", ""Maintain 40 m altitude with lidar-assisted navigation and reduced speed"", ""Ascend rapidly to 80 m to avoid moving obstacle collision"", ""Hover collectively at 5 m to await communication reacquisition"", ""Disperse laterally beyond 5 m separation to improve signal diversity"", ""Fly at 60 m with maximum thrust to counteract wind gusts""]","Operating at 40 m balances wind gradient effects and GNSS multipath, leveraging lidar for navigation resilience. Reduced speed enhances sensor accuracy and energy efficiency while maintaining 5 m separation. This choice satisfies safety, coordination, and aerodynamic constraints under interference and dynamic obstacles." 2025-11-01T18:06:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_powerline_inspection_vtol_68e35ebe90af_mcq.json,uavbench-mcq-v1,urban_powerline_inspection_vtol,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"Given GNSS jamming, -82 dBm RF, and 25m DAA separation, which action ensures resilient navigation and control during transition at 8.5 m/s wind?","This mission involves a VTOL tiltrotor UAV conducting urban powerline inspection in a dense city canyon environment. The airspace is constrained between 10 and 120 meters AGL with static and moving no-fly zones, including a dynamic obstacle near the inspection route. Weather includes a moderate westerly wind of 8.5 m/s with gusts up to 4.5 m/s and increasing wind speed and directional shear with altitude. The UAV is equipped with RGB and thermal cameras, LIDAR, and full suite navigation sensors, powered by a 1200Wh battery. GNSS signals are degraded due to multipath effects, interference, and mild jamming, requiring robust localization. The flight plan follows a rectangular corridor pattern with transitions between hover and forward flight, requiring a runway for takeoff and landing. A second UAV operates in the airspace, necessitating DAA compliance with 25-meter separation and 20-second TTC thresholds. Communication experiences brief downlink outages, and RF signal strength may drop to -82 dBm. Key constraints include battery reserve margin, airspace boundaries, obstacle avoidance, and maintaining mission completion within 600 seconds.",Use encrypted GNSS with adaptive filtering and LIDAR-inertial fusion,Rely solely on unencrypted GNSS with PID override for gusts,Switch to open-loop control using last known position,Increase camera frame rate to compensate for signal loss,Disable DAA to prioritize thermal imaging bandwidth,Transmit unauthenticated telemetry to conserve power,Descend to 5m AGL to avoid dynamic obstacles silently,"[""Use encrypted GNSS with adaptive filtering and LIDAR-inertial fusion"", ""Rely solely on unencrypted GNSS with PID override for gusts"", ""Switch to open-loop control using last known position"", ""Increase camera frame rate to compensate for signal loss"", ""Disable DAA to prioritize thermal imaging bandwidth"", ""Transmit unauthenticated telemetry to conserve power"", ""Descend to 5m AGL to avoid dynamic obstacles silently""]","Encrypted GNSS resists spoofing while LIDAR-inertial fusion maintains localization integrity during jamming. Adaptive filtering ensures control stability under wind gusts and degraded RF. This layered approach preserves availability, confidentiality, and safe separation without single-point failure." 2025-11-01T18:06:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/volcanic_search_rescue_fixed_wing_6c628ccdcf3c_mcq.json,uavbench-mcq-v1,volcanic_search_rescue_fixed_wing,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,UAV faces icing and 4.5 m/s gusts at 300m; dynamic obstacle blocks runway approach. Return now or reroute?,"Fixed-wing UAV conducts search and rescue in a volcanic zone with hazardous weather. The mission operates within a defined airspace bounded by static and moving no-fly zones. Winds are strong and variable, increasing with altitude, with gusts up to 4.5 m/s. Poor visibility due to fog and icing conditions poses significant flight risks. The UAV carries thermal and RGB cameras plus radar, suitable for detecting survivors. GNSS signals suffer from multipath and jamming, with intermittent communication losses. Thermal updrafts near volcanic plumes can affect flight stability and navigation. A dynamic obstacle moves through the airspace, requiring real-time avoidance. Icing events are simulated, reducing performance for one minute mid-mission. The UAV must return to a runway for landing, with emergency sites available if needed.",Continue descent; thermal updrafts may lift UAV over obstacle,Divert to emergency site; preserve crew life over runway preference,Climb to avoid obstacle; stronger winds increase crash risk,Hover until obstacle passes; GNSS loss risks uncontrolled drift,Abort mission; survivors outweigh UAV recovery needs,Proceed to runway; trust autopilot to handle dynamic obstacle,Delay landing; prioritize full area scan despite icing risk,"[""Continue descent; thermal updrafts may lift UAV over obstacle"", ""Divert to emergency site; preserve crew life over runway preference"", ""Climb to avoid obstacle; stronger winds increase crash risk"", ""Hover until obstacle passes; GNSS loss risks uncontrolled drift"", ""Abort mission; survivors outweigh UAV recovery needs"", ""Proceed to runway; trust autopilot to handle dynamic obstacle"", ""Delay landing; prioritize full area scan despite icing risk""]","Human safety and mission ethics prioritize landing at a safe site over returning to the preferred runway. Continuing flight in deteriorating conditions risks uncontrolled failure near hazardous terrain. B minimizes harm by accepting a controlled, early termination at an emergency site, aligning with safety-of-life and responsible autonomy principles." 2025-11-01T18:06:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/volcanic_survey_heavy_lift_cb12aeb19d93_mcq.json,uavbench-mcq-v1,volcanic_survey_heavy_lift,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,G,False,"Single UAV must survey grid in 600 s, avoid dynamic no-fly zone, and maintain 30% battery for return during sandstorm with 8.5 m/s winds.","This is a volcanic zone survey mission using a heavy-lift octocopter equipped with RGB and thermal cameras, LiDAR, and full navigation sensors. The UAV operates within a defined polygonal airspace with a minimum altitude of 50 m AGL and a maximum of 1200 m AGL. The environment features poor visibility due to an active sandstorm, with winds at 8.5 m/s from 240 degrees and gusts up to 4.0 m/s. A static no-fly zone restricts access to a cylinder near the center of the area, while a smaller dynamic no-fly zone moves slowly through the airspace. The UAV must maintain separation of at least 50 meters from other traffic, with a time-to-closest-approach threshold of 20 seconds. GNSS multipath effects are expected near volcanic terrain, and transient comms losses occur at specific mission times. The UAV carries a 4.5 kg payload and must complete a grid-pattern survey within 600 seconds while avoiding a moving spherical obstacle. Battery endurance is critical, with a 30% reserve required for safe return to the preferred landing site. The mission involves a single UAV with no swarm coordination, and control is performed in discrete actions. Success depends on avoiding collisions, geofence breaches, and maintaining safe DAA thresholds throughout the flight.",Climb to 1200 m AGL for faster coverage and reduced obstacle risk,Reduce speed by 40% to improve sensor accuracy in poor visibility,Fly direct through moving no-fly zone to save 90 s on timeline,Delay mission until wind gusts drop below 3.0 m/s for stability,Descend to 50 m AGL continuously to maximize LiDAR resolution,Abort survey at 320 s to preserve 30% battery with return margin,Adjust path dynamically to avoid obstacle while maintaining survey rhythm,"[""Climb to 1200 m AGL for faster coverage and reduced obstacle risk"", ""Reduce speed by 40% to improve sensor accuracy in poor visibility"", ""Fly direct through moving no-fly zone to save 90 s on timeline"", ""Delay mission until wind gusts drop below 3.0 m/s for stability"", ""Descend to 50 m AGL continuously to maximize LiDAR resolution"", ""Abort survey at 320 s to preserve 30% battery with return margin"", ""Adjust path dynamically to avoid obstacle while maintaining survey rhythm""]","The UAV must balance obstacle avoidance, timing, and energy. Option G ensures continuous adaptation to the moving spherical obstacle and dynamic no-fly zone without violating geofence or battery constraints. Other choices either breach safety margins, waste time, or fail to maintain mission continuity under transient comms loss and environmental stress." 2025-11-01T18:06:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/underground_mine_recon_helicopter_bc4694477cb8_mcq.json,uavbench-mcq-v1,underground_mine_recon_helicopter,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"Which path completes reconnaissance of five 50m-altitude waypoints in 10 minutes, avoiding a central no-fly cylinder and two comms loss windows?","This mission involves reconnaissance in an underground mine using a battery-powered helicopter UAV. The confined airspace is limited to 50 meters maximum altitude with a rectangular boundary and a central cylindrical no-fly zone. Wind speed is moderate at 3 m/s with gusts, and visibility is poor, complicating navigation. The UAV is equipped with LiDAR, RGB and thermal cameras, but lacks GNSS, relying on IMU, barometer, and magnetometer for positioning. Severe GNSS multipath and electromagnetic interference prevent satellite-based navigation. A known cylinder-shaped no-fly zone blocks access to a central area, requiring careful path planning. The UAV must complete a corridor-style reconnaissance pattern within 10 minutes, covering five waypoints at fixed altitudes. Communication links are unreliable, with two planned loss windows disrupting uplink and downlink. Battery reserves are set to 30%, and energy management is critical due to sensor load and limited capacity. Proximity to obstacles requires strict adherence to separation thresholds to avoid collisions.",Direct radial routes between waypoints ignoring turn radius,Fixed heading transitions without adjusting for wind gusts,Smooth arc trajectories respecting minimum turning radius,Descent below 40m to reduce LiDAR power consumption,Straight-line paths cutting through the no-fly zone,Hovering at each waypoint to ensure image clarity,Pre-planned corridor with lateral offset around cylinder,"[""Direct radial routes between waypoints ignoring turn radius"", ""Fixed heading transitions without adjusting for wind gusts"", ""Smooth arc trajectories respecting minimum turning radius"", ""Descent below 40m to reduce LiDAR power consumption"", ""Straight-line paths cutting through the no-fly zone"", ""Hovering at each waypoint to ensure image clarity"", ""Pre-planned corridor with lateral offset around cylinder""]","The pre-planned corridor maintains safe lateral separation from the no-fly cylinder, accounts for IMU drift and wind gusts within energy limits. It ensures timely waypoint coverage by minimizing re-routing delays and avoids comms-dependent corrections. Other options violate spatial, temporal, or safety constraints." 2025-11-01T18:06:13Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_canyon_recon_fixedwing_2c9219e6b5af_mcq.json,uavbench-mcq-v1,urban_canyon_recon_fixedwing,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"UAV faces icing, 10 m/s winds at 游戏副本, GNSS issues; which action balances endurance, safety, and mission success?","Fixed-wing UAV conducts urban canyon reconnaissance survey mission. Operating in a dense city environment with narrow streets and tall buildings. Weather includes rain, icing conditions, and strong gusty winds from the southwest. Wind increases with altitude, reaching 10 m/s at 100 m with shifting direction. Equipped with RGB camera, LiDAR, and standard navigation sensors. GNSS signals suffer from multipath and moderate jamming, degrading positioning accuracy. Mission constrained by static and moving no-fly zones, including a dynamic obstacle. UAV must maintain separation from other traffic and avoid a drifting spherical obstacle. Requires runway for takeoff and landing, with limited comms during two loss windows. An icing event occurs mid-mission, reducing aerodynamic efficiency and increasing risk.",Climb to 150 m for clearer GNSS signals,Descend to 30 m to avoid wind shear,"Activate de-icing, reduce speed, and lower altitude",Increase speed to minimize exposure time,Switch off LiDAR to save power immediately,Extend route to avoid all urban canyons,Maintain current altitude and speed despite icing,"[""Climb to 150 m for clearer GNSS signals"", ""Descend to 30 m to avoid wind shear"", ""Activate de-icing, reduce speed, and lower altitude"", ""Increase speed to minimize exposure time"", ""Switch off LiDAR to save power immediately"", ""Extend route to avoid all urban canyons"", ""Maintain current altitude and speed despite icing""]","Activating de-icing mitigates safety risk while reducing speed and altitude minimizes aerodynamic loading and energy use. This balances power budget, thermal demands, and navigation reliability under GNSS degradation. Other options increase energy use, exposure, or fail to address icing-induced performance loss." 2025-11-01T18:06:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_canyon_wind_turbine_inspection_e34f802044d3_mcq.json,uavbench-mcq-v1,urban_canyon_wind_turbine_inspection,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,C,False,"Given 600 s mission limit, 8 m/s wind, and 15 m separation, which strategy maximizes inspection completion with battery reserve?","This scenario involves an inspection mission using an octocopter UAV in an urban canyon environment. The airspace is constrained by buildings and includes a cylindrical no-fly zone centered at (60, 75) with a 20-meter radius and height restriction up to 60 meters. Weather conditions feature moderate wind at 8 m/s from 210 degrees, with gusts up to 4 m/s and poor visibility due to dust. The UAV is equipped with a battery-powered propulsion system and carries an RGB camera payload for visual inspection tasks. It is fitted with standard navigation sensors including GNSS, IMU, magnetometer, barometer, and LiDAR for obstacle detection. Flight is limited between 5 and 120 meters AGL within a defined polygonal geofence, requiring careful path planning around static and moving obstacles. A single dynamic obstacle moves southwest at 2 m/s, and there is conflicting traffic approaching from the north at 10 m/s. The mission must be completed within 600 seconds, following a corridor pattern through four waypoints while maintaining safe separation of at least 15 meters. GNSS multipath effects may occur due to the urban canyon setting, impacting positioning accuracy near tall structures. The UAV must return to its preferred landing site at (10, 10) with sufficient battery reserve, avoiding any geofence or separation breaches.",Fly fastest speed to complete waypoints early,Descend to 5 m AGL to reduce wind resistance,Reduce camera resolution to save power and extend loiter,Circle each waypoint twice for redundant imaging,Climb to 120 m for clearer GNSS and line-of-sight,Fly direct paths at constant 20 m AGL and full thrust,Hover 30 s at each waypoint using maximum sensor gain,"[""Fly fastest speed to complete waypoints early"", ""Descend to 5 m AGL to reduce wind resistance"", ""Reduce camera resolution to save power and extend loiter"", ""Circle each waypoint twice for redundant imaging"", ""Climb to 120 m for clearer GNSS and line-of-sight"", ""Fly direct paths at constant 20 m AGL and full thrust"", ""Hover 30 s at each waypoint using maximum sensor gain""]","Reducing camera resolution lowers power consumption, extending flight time without compromising core mission goals. It balances sensor needs and energy conservation, allowing safe return with reserve under wind and GNSS challenges. Other options increase energy use or exposure to risk unnecessarily." 2025-11-01T18:06:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_canyon_moving_nfz_fog_3921c3ddbbde_mcq.json,uavbench-mcq-v1,urban_canyon_moving_nfz_fog,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"At 450s, UAV must reroute due to dynamic NFZ at 30m altitude and moderate wind affecting energy. How should it adjust?","This is an urban inspection mission using a quadrotor UAV equipped with RGB camera, LiDAR, and standard navigation sensors. The flight occurs in a dense urban canyon environment with tall buildings creating tight airspace constraints. Weather includes poor visibility due to fog, moderate winds increasing with altitude, and icing conditions that temporarily degrade performance. A static no-fly zone blocks the central area, while a second cylindrical NFZ moves dynamically through the environment. The UAV must navigate around both static and moving obstacles, including another UAV traffic agent on a crossing path. GNSS signals suffer from multipath effects and moderate jamming, complicating positioning accuracy. The mission follows a rectangular corridor pattern at 30 meters altitude within a 600-second time limit. Battery reserve is constrained to 30%, and energy consumption is affected by wind and manoeuvring. Communication dropouts occur briefly at two points during the flight, risking command loss. The UAV must maintain safe separation from all obstacles and avoid geofence or altitude violations to succeed.",Descend to 20m to avoid wind and save energy,Climb to 40m for clearer GNSS and faster transit,"Maintain 30m, reduce speed to conserve battery","Detour east, coordinating with other UAV via shared path plan",Hover until dynamic NFZ passes through corridor,Accelerate through NFZ edge using LiDAR gap detection,Switch to RGB-only mode to reduce sensor load,"[""Descend to 20m to avoid wind and save energy"", ""Climb to 40m for clearer GNSS and faster transit"", ""Maintain 30m, reduce speed to conserve battery"", ""Detour east, coordinating with other UAV via shared path plan"", ""Hover until dynamic NFZ passes through corridor"", ""Accelerate through NFZ edge using LiDAR gap detection"", ""Switch to RGB-only mode to reduce sensor load""]","Coordinating path planning ensures inter-agent separation and avoids dynamic NFZ without unilateral risk-taking. Shared situational awareness maintains swarm geometry and prevents collision in low-visibility conditions. Other options either violate altitude constraints, increase energy use, or ignore inter-agent dependencies." 2025-11-01T18:06:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_firefighting_drop_quadrotor_719d5810e597_mcq.json,uavbench-mcq-v1,urban_firefighting_drop_quadrotor,minimax/minimax-m1,9,Comparative System Reasoning,7,?,D,False,"Which UAV system best balances 0.8 kg payload, urban GNSS denial, and 600-second endurance with obstacle avoidance?","This scenario involves a firefighting drop mission using a battery-powered quadrotor in a dense urban environment. The UAV is equipped with RGB and thermal cameras, LiDAR, and GNSS/IMU navigation for precision delivery. It carries a 0.8 kg payload designed for fire suppression drops at low altitudes. The mission operates within a 200m x 200m airspace bounded between 10m and 120m AGL. A static no-fly zone blocks access to a cylinder near the center, while a second dynamic no-fly zone moves across the area. Wind blows from the south at 5 m/s with gusts up to 3 m/s, affecting stability during hover and transit. The UAV must follow a corridor pattern through four waypoints and return within a 600-second time limit. Separation from other traffic is monitored with a 25-meter threshold and 15-second time-to-close alert. A moving spherical obstacle drifts westward, requiring real-time path adjustments. GNSS multipath effects are expected due to surrounding buildings, challenging positioning accuracy.","Monocular vision-only navigation, no LiDAR, 1500 mAh battery","Fixed rotor speed, 2000 mAh battery, no dynamic replanning","Dual IMU, 2200 mAh battery, thermal-only fire detection","LiDAR-SLAM, 2400 mAh battery, 15-second obstacle reaction","GNSS-dependent, 2100 mAh battery, no thermal camera","Open-loop control, 1800 mAh battery, 5 Hz update rate","Single IMU, 2000 mAh battery, 10m static zone violation","[""Monocular vision-only navigation, no LiDAR, 1500 mAh battery"", ""Fixed rotor speed, 2000 mAh battery, no dynamic replanning"", ""Dual IMU, 2200 mAh battery, thermal-only fire detection"", ""LiDAR-SLAM, 2400 mAh battery, 15-second obstacle reaction"", ""GNSS-dependent, 2100 mAh battery, no thermal camera"", ""Open-loop control, 1800 mAh battery, 5 Hz update rate"", ""Single IMU, 2000 mAh battery, 10m static zone violation""]","System D combines LiDAR-SLAM for GNSS-denied positioning and sufficient battery for endurance under wind load. Its 15-second obstacle reaction meets the time-to-close alert requirement, ensuring safe dynamic avoidance. Other systems fail in sensing redundancy, energy capacity, or obstacle response latency." 2025-11-01T18:06:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/vtol_powerline_survey_hot_215c11f70b92_mcq.json,uavbench-mcq-v1,vtol_powerline_survey_hot,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"At 35m altitude, 8.5 m/s wind from 210°, and moving obstacle at 5 m/s west, which navigation strategy maintains corridor safety and battery reserve?","This is a VTOL powerline survey mission in a designated corridor airspace. The UAV is a tiltrotor VTOL aircraft equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. It operates in moderate wind conditions of 8.5 m/s from 210 degrees with gusts up to 4.0 m/s and good visibility. The flight area is a 800m x 600m polygon with a 50m-radius cylindrical no-fly zone centered at (400, 300) between 5m and 50m altitude. The mission requires a runway for takeoff and landing, with a predefined threshold at (0, 0, 10) aligned to heading 90 degrees. The UAV must follow a corridor survey pattern through five waypoints while maintaining safe separation from obstacles and traffic. A moving spherical obstacle travels westward at 5 m/s along the centerline at 35m altitude. The UAV must avoid geofence breaches and maintain at least 25m separation from other traffic with a 30-second time-to-closest-approach threshold. GNSS multipath effects are not modeled, but battery endurance is critical with a 30% reserve requirement. The mission has a 600-second time budget and must return to the preferred landing site unless an emergency arises.",Rely solely on GNSS for position control in strong wind,Switch to IMU-LiDAR fusion when visual odometry degrades,Reduce speed to 3 m/s to ensure 30-second separation,Fly at 45m altitude to avoid moving obstacle entirely,Use thermal camera to track obstacle in RGB occlusion,Align survey pattern with wind to save battery,Descend to 40m in cylindrical no-fly zone edge for accuracy,"[""Rely solely on GNSS for position control in strong wind"", ""Switch to IMU-LiDAR fusion when visual odometry degrades"", ""Reduce speed to 3 m/s to ensure 30-second separation"", ""Fly at 45m altitude to avoid moving obstacle entirely"", ""Use thermal camera to track obstacle in RGB occlusion"", ""Align survey pattern with wind to save battery"", ""Descend to 40m in cylindrical no-fly zone edge for accuracy""]",IMU-LiDAR fusion provides robust positioning under moderate wind and maintains accuracy when visual odometry degrades due to motion blur or texture-poor scenes. This strategy mitigates GNSS latency and enhances obstacle avoidance in dynamic environments. It preserves battery by enabling efficient path corrections without unnecessary climb or detour. 2025-11-01T18:06:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_pipeline_inspection_hexacopter_8496ca9cab7e_mcq.json,uavbench-mcq-v1,urban_pipeline_inspection_hexacopter,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,"At 455 s, comms fail; intruder UAV approaches within 10 s time-to-closest approach. Wind is 8 m/s. What immediate action ensures safety?","This is an urban pipeline inspection mission conducted in a dense city environment with tall buildings creating a canyon-like airspace. The hexacopter UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors for detailed visual and structural assessment. Flying at altitudes between 5 and 60 meters AGL, the UAV must navigate within a defined polygonal airspace while avoiding a cylindrical no-fly zone near the center. The mission faces moderate wind at 8 m/s from the west, with gusts up to 4 m/s, requiring stable flight control. GNSS signals may experience multipath interference due to surrounding structures, impacting positioning accuracy. The UAV must maintain separation of at least 15 meters from other air traffic, with a traffic conflict alert threshold of 10 seconds time-to-closest approach. A single intruder UAV enters the airspace from the south, moving north to south, and a moving spherical obstacle drifts westward, adding dynamic collision risks. Communication links are generally stable but experience brief outages between 120–130 and 450–460 seconds, potentially disrupting command and telemetry. The mission has a 10-minute time budget, requires battery reserve management, and must return safely to the designated landing zone near the start point.",Continue inspection; trust collision avoidance autonomy,Descend to 5 m AGL to避 obstacle conflicts,Climb to 60 m AGL for clearer GNSS signal,Execute emergency hover and await comms restore,Abort mission; return to landing zone now,Fly east to bypass intruder and sphere outside zone,Increase speed toward intruder to assert right-of-way,"[""Continue inspection; trust collision avoidance autonomy"", ""Descend to 5 m AGL to避 obstacle conflicts"", ""Climb to 60 m AGL for clearer GNSS signal"", ""Execute emergency hover and await comms restore"", ""Abort mission; return to landing zone now"", ""Fly east to bypass intruder and sphere outside zone"", ""Increase speed toward intruder to assert right-of-way""]","With comms lost and an imminent traffic conflict, continuing the mission risks uncontrolled collision in a dense urban area. Safety-of-life overrides inspection objectives. Returning immediately minimizes risk to people and property while complying with emergency hierarchy and airspace regulations." 2025-11-01T18:06:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_canyon_helicopter_inspection_f1f91bb4ea79_mcq.json,uavbench-mcq-v1,urban_canyon_helicopter_inspection,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,"Which path avoids the no-fly zone at (40,50) between 5–40m while maintaining 5–120m AGL and adjusting for a westward-drifting obstacle?","This is an urban canyon inspection mission using a battery-powered helicopter UAV equipped with RGB camera and LIDAR payload. The flight occurs in a confined city-like environment with tall buildings creating canyon effects. Weather includes strong 8 m/s winds from 240 degrees, gusts up to 4 m/s, hail, and poor visibility. The UAV must navigate between 5 and 120 meters AGL within a defined rectangular geofence. A no-fly zone cylinder blocks access near coordinates (40,50) between 5 and 40 meters altitude. The mission follows a corridor pattern with five waypoints, requiring tight maneuvering around obstacles. A moving spherical obstacle drifts westward at 2 m/s near the route center. Another UAV enters from the north at 12 m/s, requiring separation assurance. GNSS multipath effects are expected due to urban structures, and brief comms outages occur at 200 and 400 seconds. An icing event at 120 seconds reduces performance temporarily, testing resilience.",Climb to 125m AGL to clear all obstacles quickly,Fly direct at 30m AGL through the no-fly zone center,Descend to 4m AGL and proceed below minimum altitude,"Reroute eastward at 45m AGL, delaying waypoint 3 by 18s",Hold position at 20m AGL until the moving obstacle clears,Proceed at 60m AGL with reduced speed to track obstacle drift,Turn sharply west into adjacent building corridor at 10m AGL,"[""Climb to 125m AGL to clear all obstacles quickly"", ""Fly direct at 30m AGL through the no-fly zone center"", ""Descend to 4m AGL and proceed below minimum altitude"", ""Reroute eastward at 45m AGL, delaying waypoint 3 by 18s"", ""Hold position at 20m AGL until the moving obstacle clears"", ""Proceed at 60m AGL with reduced speed to track obstacle drift"", ""Turn sharply west into adjacent building corridor at 10m AGL""]","Option F maintains safe altitude within 5–120m AGL, avoids the NFZ by lateral offset, and adapts speed to the obstacle’s 2 m/s westward drift. It balances mission time and safety without violating geofence or separation constraints. Other choices breach NFZ, altitude limits, or induce excessive delay." 2025-11-01T18:06:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_facade_inspection_helicopter_cold_6b98368a02ae_mcq.json,uavbench-mcq-v1,warehouse_facade_inspection_helicopter_cold,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"Inspect perimeter at 12m AGL, avoid central NFZ, and return within 600s despite icing and 5m separation needs.","This is an indoor warehouse facade inspection mission using a single battery-powered helicopter UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs inside a confined 40m x 30m warehouse space with a maximum altitude of 15m AGL. Weather includes light wind from the east, gusts, and icing conditions that trigger a moderate icing event during the mission. The UAV must navigate around a static no-fly zone near the center and avoid a moving cylindrical obstacle drifting westward. A second dynamic no-fly zone also moves slowly through the area, increasing complexity. A nearby UAV traffic agent flies in a fixed direction, requiring separation monitoring with a 5m threshold. GNSS signals are degraded due to multipath and interference, limiting reliance on satellite navigation. Electromagnetic interference and brief communication dropouts further challenge command and control. The mission must be completed within 600 seconds, following a corridor inspection pattern along the warehouse perimeter and up to a higher waypoint. Battery reserve is set to 30%, and successful completion requires avoiding collisions, maintaining separation, and surviving icing effects.","Climb to 14m, inspect east wall, then circle NFZ clockwise","Descend to 8m, bypass moving obstacle, continue south low","Hold position until traffic agent clears, then resume pattern","Accelerate west to beat dynamic NFZ, climb after obstacle","Abort mission, descend immediately, land at southeast corner","Switch to thermal-only mode, double back along north wall","Use LiDAR for obstacle tracking, adjust path westward gradually","[""Climb to 14m, inspect east wall, then circle NFZ clockwise"", ""Descend to 8m, bypass moving obstacle, continue south low"", ""Hold position until traffic agent clears, then resume pattern"", ""Accelerate west to beat dynamic NFZ, climb after obstacle"", ""Abort mission, descend immediately, land at southeast corner"", ""Switch to thermal-only mode, double back along north wall"", ""Use LiDAR for obstacle tracking, adjust path westward gradually""]","G leverages sensor redundancy (LiDAR) to maintain navigation accuracy under GNSS degradation and tracks dynamic obstacles for safe path adjustment. It avoids premature descent, respects separation, and manages icing risk by continuing with adaptive routing within battery and time limits." 2025-11-01T18:06:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_facade_inspection_strong_crosswind_92818eb6109c_mcq.json,uavbench-mcq-v1,warehouse_facade_inspection_strong_crosswind,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,Which path avoids the moving obstacle and NFZ while maintaining 8.5 m/s crosswind stability and landing by 600 s?,"This scenario involves a warehouse facade inspection using a convertiplane UAV equipped with RGB camera and LiDAR payload. The mission takes place indoors within a confined rectangular airspace bounded by geofenced walls and two no-fly zones, one static and one dynamically moving. A strong crosswind of 8.5 m/s from the west creates challenging flight conditions, with gusts up to 4.2 m/s affecting stability. The UAV must navigate a predefined corridor pattern along the warehouse walls, inspecting key waypoints while maintaining safe altitude and avoiding obstacles. A cylindrical no-fly zone near the center and a moving spherical obstacle drifting south add complexity to path planning. The UAV spawns near the southeast corner and must complete the mission within 600 seconds, landing at a preferred site in the northeast. A second traffic UAV enters from the north, requiring separation assurance with a minimum 5-meter buffer and 8-second time-to-closest-approach threshold. Communication links experience brief dropouts between 120–135 and 450–460 seconds, with minimum RSSI at -78 dBm. GNSS signals are available but subject to multipath risks due to indoor operation, requiring tight integration with IMU and other sensors for reliable positioning.","Direct climb to 15 m, fly east then north along walls avoiding NFZ",Head west immediately into wind to shorten crosswind leg,Descend to 5 m to reduce wind impact near southern wall,Cut through cylindrical NFZ center to save 40 s,"Follow wall north first, then east at 12 m AGL with LiDAR updates",Fly direct diagonal across airspace ignoring traffic separation,Delay start until 135 s to wait out comms dropout,"[""Direct climb to 15 m, fly east then north along walls avoiding NFZ"", ""Head west immediately into wind to shorten crosswind leg"", ""Descend to 5 m to reduce wind impact near southern wall"", ""Cut through cylindrical NFZ center to save 40 s"", ""Follow wall north first, then east at 12 m AGL with LiDAR updates"", ""Fly direct diagonal across airspace ignoring traffic separation"", ""Delay start until 135 s to wait out comms dropout""]","Following the wall at 12 m AGL maintains safe separation from the moving obstacle and NFZ while leveraging terrain alignment to mitigate crosswind drift. LiDAR updates compensate for GNSS multipath, ensuring precise navigation during comms dropouts. This route optimizes timing, avoids premature descent or risky shortcuts, and ensures traffic separation compliance within the 600-second window." 2025-11-01T18:06:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_facade_inspection_vtol_cb00fbf40d6b_mcq.json,uavbench-mcq-v1,warehouse_facade_inspection_vtol,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During transition at (25,12), GNSS degrades with 80% packet loss. Which action maintains control and data integrity?","This is a VTOL tiltrotor UAV conducting a warehouse facade inspection indoors. The mission takes place in a confined rectangular airspace measuring 40x30 meters with a maximum altitude of 15 meters AGL. Light wind conditions of 1.2 m/s from 135 degrees include minor gusts but do not significantly impact operations. The UAV is equipped with an RGB camera and LIDAR for visual data collection and obstacle detection. A cylindrical no-fly zone with a 3-meter radius is centered at (20,10), restricting flight paths near critical infrastructure. The UAV must maintain separation from geofences and avoid penetrating the NFZ while inspecting along a predefined corridor pattern. Takeoff and landing require use of a designated runway aligned with heading 90 degrees. Battery reserve is set to 30%, and the energy budget limits total mission time to 10 minutes. GNSS signals may experience multipath interference due to indoor warehouse structures. The UAV transitions between hover and forward flight using a 4-second tilt sequence and must return safely to its starting point.",Continue using GNSS with error correction,Switch to LIDAR-inertial fusion for positioning,Rely on unencrypted telemetry from ground station,Hover indefinitely until GNSS signal recovers,Accept unsigned firmware update to improve lock,Use open Wi-Fi to boost positioning data,Disable cybersecurity protocols to reduce latency,"[""Continue using GNSS with error correction"", ""Switch to LIDAR-inertial fusion for positioning"", ""Rely on unencrypted telemetry from ground station"", ""Hover indefinitely until GNSS signal recovers"", ""Accept unsigned firmware update to improve lock"", ""Use open Wi-Fi to boost positioning data"", ""Disable cybersecurity protocols to reduce latency""]",LIDAR-inertial fusion preserves positioning accuracy and control stability during GNSS degradation. It maintains data integrity without relying on vulnerable external signals. This layered approach ensures mission continuity and cyber-physical resilience. 2025-11-01T18:06:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/urban_wind_turbine_inspection_hexacopter_6df283fac668_mcq.json,uavbench-mcq-v1,urban_wind_turbine_inspection_hexacopter,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,G,False,"During downlink loss in 8.5 m/s wind, which action ensures control integrity and obstacle avoidance within 5-second TTC?","This mission involves a hexacopter conducting an urban wind turbine inspection in a dense city canyon environment. The UAV operates within a defined airspace corridor from 5 to 60 meters AGL, bounded by polygonal geofencing. It is equipped with RGB camera and LiDAR payload for visual data collection, relying on GNSS, IMU, and barometric sensors for navigation. Weather conditions include a steady 8.5 m/s wind from 240 degrees with gusts up to 4.2 m/s, posing challenges for stability and control. A static no-fly zone surrounds a central cylinder near the turbine, while a dynamic no-fly zone moves slowly through the area, requiring real-time avoidance. The UAV must maintain at least 10 meters separation from traffic and obstacles, with a 5-second time-to-collision threshold for collision avoidance. A cooperating UAV is present, flying at constant speed through the airspace, requiring separation management. Communication experiences two brief downlink loss windows, potentially affecting telemetry and control. The mission must be completed within 600 seconds while avoiding GNSS signal degradation from urban multipath and maintaining battery reserve. Success depends on precise navigation, obstacle avoidance, and adherence to airspace constraints under windy, complex urban conditions.",Switch to encrypted datalink with authenticated hold pattern,Continue mission using last GNSS fix and open-loop control,Disable geofencing to allow path deviation during signal loss,Transmit unencrypted telemetry to maximize downlink efficiency,Rely solely on barometric altitude with no sensor fusion,Accept spoofed GNSS signals if signal strength is high,Use LiDAR to verify position and engage fallback IMU-only mode,"[""Switch to encrypted datalink with authenticated hold pattern"", ""Continue mission using last GNSS fix and open-loop control"", ""Disable geofencing to allow path deviation during signal loss"", ""Transmit unencrypted telemetry to maximize downlink efficiency"", ""Rely solely on barometric altitude with no sensor fusion"", ""Accept spoofed GNSS signals if signal strength is high"", ""Use LiDAR to verify position and engage fallback IMU-only mode""]","LiDAR provides physical redundancy against GNSS spoofing and urban multipath, preserving position integrity. IMU-only mode maintains control stability during downlink loss with sensor fusion. This choice ensures obstacle avoidance and adherence to separation thresholds without relying on unverified external signals." 2025-11-01T18:06:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_firefighting_glider_dust_63958db24fba_mcq.json,uavbench-mcq-v1,warehouse_firefighting_glider_dust,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 580 seconds, UAV is 10m from fire zone, battery at 32%, wind gusts increase. Deliver payload now or abort?","This is a firefighting mission using a battery-powered glider UAV equipped with RGB and thermal cameras, operating indoors within a confined warehouse airspace. The UAV must navigate a predefined corridor of waypoints to deliver payload near fire zones while avoiding static and moving obstacles. The environment features poor visibility due to dust, moderate wind with gusts, and a vertical wind gradient increasing with height. GNSS signals are degraded due to multipath effects and electromagnetic interference, requiring reliance on supplementary sensors. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves laterally, adding complexity to path planning. The glider must maintain strict altitude bounds between 0.5 and 15 meters AGL and uphold separation from other UAV traffic. Thermal updrafts near the fire source can affect flight dynamics and must be accounted for in control. Communication links experience intermittent outages, limiting downlink reliability during critical phases. The mission must be completed within 600 seconds, with successful payload delivery required for mission success. Battery reserve is set to 30%, and energy management is critical due to limited endurance.",Proceed to deliver; mission success depends on it.,Abort immediately; battery reserve must be preserved.,Circle waiting; thermal updrafts may lift UAV safely.,Descend to 0.4m to reduce wind impact and proceed.,Transmit live feed and wait for operator override.,Accelerate through gusts to deliver before 600s limit.,Divert through static no-fly zone to shorten path.,"[""Proceed to deliver; mission success depends on it."", ""Abort immediately; battery reserve must be preserved."", ""Circle waiting; thermal updrafts may lift UAV safely."", ""Descend to 0.4m to reduce wind impact and proceed."", ""Transmit live feed and wait for operator override."", ""Accelerate through gusts to deliver before 600s limit."", ""Divert through static no-fly zone to shorten path.""]",Safety requires maintaining battery reserve and avoiding risk during degraded conditions. Proceeding risks loss of control or crash near fire. Abort ensures UAV remains controllable and avoids endangering the environment. 2025-11-01T18:06:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_helicopter_survey_hail_84bd6b461a13_mcq.json,uavbench-mcq-v1,warehouse_helicopter_survey_hail,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,F,False,"At 120s, GNSS fails with 80% severity; UAV is at 5m altitude, 3m/s wind from 135°, battery at 68%. What action balances navigation, energy, and obstacle avoidance?","This is an indoor warehouse survey mission using a single battery-powered helicopter UAV equipped with GNSS, IMU, lidar, and RGB camera. The flight occurs in a confined 50m x 40m polygon with altitude limits between 0.5m and 15m AGL. Weather includes poor visibility and hail, with a 3 m/s wind from 135 degrees and gusts up to 2 m/s. The UAV must follow a grid pattern at 5m altitude across four waypoints while avoiding a central cylindrical no-fly zone. A moving spherical obstacle drifts slowly at 2.5m height along the x-axis. The UAV has a 320Wh battery with a 30% reserve requirement and 0.3kg payload. A GNSS jamming fault occurs at 120 seconds, lasting 30 seconds with 80% severity, challenging navigation. Communication links remain functional with minimum RSSI of -78 dBm. The mission allows 600 seconds and requires strict separation of 5m with a 3-second time-to-collision threshold. Key constraints include indoor GNSS multipath, hail effects on sensors, and dynamic obstacle avoidance within tight spatial bounds.",Climb to 14m for clearer GNSS signal and better coverage,Descend to 1m to reduce wind effects and conserve power,Hold position at 5m using lidar-IMU fusion until GNSS recovers,Increase speed to 3m/s to complete grid before battery drops,Land immediately due to sensor degradation from hail and jamming,"Follow grid at 5m using lidar and IMU, slowing near moving obstacle",Turn 90° and fly upwind to escape jamming zone quickly,"[""Climb to 14m for clearer GNSS signal and better coverage"", ""Descend to 1m to reduce wind effects and conserve power"", ""Hold position at 5m using lidar-IMU fusion until GNSS recovers"", ""Increase speed to 3m/s to complete grid before battery drops"", ""Land immediately due to sensor degradation from hail and jamming"", ""Follow grid at 5m using lidar and IMU, slowing near moving obstacle"", ""Turn 90° and fly upwind to escape jamming zone quickly""]","Option F maintains safe altitude (above 0.5m, below 15m), uses lidar-IMU to compensate for GNSS jamming, and slows near the moving obstacle to meet 3-second separation threshold. It balances energy use, avoids the no-fly zone and dynamic obstacle, and adheres to battery reserve while completing the mission within 600s." 2025-11-01T18:06:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_disaster_recon_vtol_fcae67b5587e_mcq.json,uavbench-mcq-v1,warehouse_indoor_disaster_recon_vtol,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,C,False,"At 3 m/s south wind with microburst risk, what minimizes risk during a 90° heading change at 8 m/s airspeed near the moving obstacle?","This is an indoor disaster reconnaissance mission using a VTOL tiltrotor UAV in a warehouse environment. The UAV is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors for search and rescue operations. The airspace is confined to a 50x40 meter warehouse with a maximum altitude of 12 meters AGL and a minimum safe height of 0.5 meters. A static no-fly zone blocks the central area, and a dynamic no-fly zone moves slowly through the space, requiring real-time avoidance. The UAV must navigate around a moving spherical obstacle and avoid conflict with another UAV traveling westward. Wind conditions include a moderate 3 m/s breeze from the south with gusts and a microburst risk, increasing flight instability. GNSS signals are degraded due to multipath effects, and electromagnetic interference may affect sensor performance. The mission requires completing a corridor search pattern within 600 seconds while managing battery reserves and fault events. Communication experiences brief uplink outages, including a full lost link at 120 seconds and reduced signal during critical phases. Key constraints include maintaining separation from obstacles, avoiding stalls, and ensuring successful waypoint coverage despite sensor and link faults.",Increase pitch to 15° and reduce throttle by 20%,Maintain current pitch and increase throttle 10%,Decrease pitch to 5° and bank 30° into the turn,Hold altitude with zero pitch and cut thrust 15%,Roll to 45° while increasing angle of attack to 12°,"Yaw left using differential thrust, no pitch change","Descend 1 meter, reduce airspeed to 5 m/s, then turn","[""Increase pitch to 15° and reduce throttle by 20%"", ""Maintain current pitch and increase throttle 10%"", ""Decrease pitch to 5° and bank 30° into the turn"", ""Hold altitude with zero pitch and cut thrust 15%"", ""Roll to 45° while increasing angle of attack to 12°"", ""Yaw left using differential thrust, no pitch change"", ""Descend 1 meter, reduce airspeed to 5 m/s, then turn""]","Reducing pitch to 5° decreases angle of attack, mitigating stall risk in gusting wind, while a 30° bank provides coordinated turn lift. This balances load factor and induced drag at 8 m/s, ensuring obstacle clearance without exceeding critical AOA under low-altitude wind shear." 2025-11-01T18:06:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/volcanic_zone_vtol_runway_ops_f993a4dfdcbe_mcq.json,uavbench-mcq-v1,volcanic_zone_vtol_runway_ops,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,A,False,"At 420 m AGL with strong winds and thermal updrafts near plumes, how should the UAV adjust for a safe transition to forward flight during touch-and-go?","This is a VTOL tiltrotor UAV mission in a volcanic zone with poor visibility and lightning risk. The UAV operates within a 450 m AGL ceiling, navigating around static and moving no-fly zones. Strong and varying winds exist, increasing with altitude, and thermal updrafts are present near plumes. The UAV carries RGB and thermal cameras for payload operations. GNSS signals suffer from multipath and moderate jamming, with electromagnetic interference in the area. The mission involves a runway touch-and-go pattern requiring precise transitions between hover and forward flight. A dynamic no-fly zone and moving obstacle challenge navigation. Lightning-induced faults are simulated mid-mission, affecting systems temporarily. Communication experiences brief downlink losses, requiring robust link management.",Descend to 300 m AGL to reduce wind exposure and stabilize transition,Climb to 450 m AGL for smoother airflow and better GNSS reception,Maintain 420 m AGL and increase rotor thrust to counter turbulence,Delay transition until downlink restores full command confirmation,Reduce airspeed and pitch slowly to minimize control oscillations,Execute rapid tilt to minimize hover time in turbulent updrafts,Rely solely on IMU for attitude control due to GNSS jamming,"[""Descend to 300 m AGL to reduce wind exposure and stabilize transition"", ""Climb to 450 m AGL for smoother airflow and better GNSS reception"", ""Maintain 420 m AGL and increase rotor thrust to counter turbulence"", ""Delay transition until downlink restores full command confirmation"", ""Reduce airspeed and pitch slowly to minimize control oscillations"", ""Execute rapid tilt to minimize hover time in turbulent updrafts"", ""Rely solely on IMU for attitude control due to GNSS jamming""]","Descending to 300 m AGL reduces wind shear and updraft effects while staying within the 450 m ceiling. It improves control stability during tilt, conserves energy by avoiding excessive thrust, and mitigates GNSS/EMI risks through lower-altitude flight where disturbances are less severe. Other options either risk altitude limits, increase energy use, or compromise safety during critical transition." 2025-11-01T18:06:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/vtol_transition_test_glider_scenario_dd0e53f2d4be_mcq.json,uavbench-mcq-v1,vtol_transition_test_glider_scenario,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"At 140m AGL, 6 m/s westerly wind, and 20% battery, which action ensures safe, efficient transition while avoiding a drifting obstacle and second UAV?","This is a VTOL transition test mission using a glider-type UAV in an airport perimeter airspace. The UAV is equipped with a battery-powered propulsion system and carries an RGB camera payload for visual data collection. The environment features moderate westerly winds at 6 m/s with gusts up to 3 m/s and includes thermal updrafts near two designated plumes. The glider operates within an altitude range of 30 to 150 meters AGL and must remain inside a defined polygonal geofence. A cylindrical no-fly zone is located near the center of the airspace, extending from 30 to 120 meters altitude, which the UAV must avoid. The mission involves a corridor-style survey with five waypoints, requiring navigation through varying altitudes while managing energy efficiently. A moving spherical obstacle drifts slowly at 2 m/s, and another UAV enters the airspace on a crossing path, requiring separation assurance. The UAV relies on GNSS, IMU, magnetometer, barometer, and camera for navigation and situational awareness. Collision avoidance is governed by a 25-meter separation threshold and a 20-second time-to-closest-approach threshold. The UAV starts near the runway threshold and must complete the survey within 600 seconds while adhering to all airspace constraints and maintaining safe flight.",Descend to 30m to minimize wind resistance and save energy,Maintain 140m altitude and full speed to complete survey early,Climb to 150m to use thermal updrafts and extend range,Reduce speed by 30% to conserve battery and avoid collision,Fly direct through no-fly zone center at 110m to save time,"Circle at 80m to wait for other UAV to pass, then continue",Pitch down aggressively to exit geofence and land immediately,"[""Descend to 30m to minimize wind resistance and save energy"", ""Maintain 140m altitude and full speed to complete survey early"", ""Climb to 150m to use thermal updrafts and extend range"", ""Reduce speed by 30% to conserve battery and avoid collision"", ""Fly direct through no-fly zone center at 110m to save time"", ""Circle at 80m to wait for other UAV to pass, then continue"", ""Pitch down aggressively to exit geofence and land immediately""]","Climbing to 150m leverages thermal updrafts for energy recovery, maintains safe separation from the cylindrical no-fly zone, and ensures GNSS/IMU stability in moderate winds. It balances energy efficiency, navigation accuracy, and safety while staying within geofence and altitude bounds. Other options violate safety, airspace rules, or energy constraints under wind and traffic conditions." 2025-11-01T18:06:14Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/vtol_tiltrotor_runway_touch_and_go_dust_345f0ef7067b_mcq.json,uavbench-mcq-v1,vtol_tiltrotor_runway_touch_and_go_dust,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"Given 14 m/s westerly winds, dust-reduced visibility, and GNSS multipath, how should navigation adapt during transition near the bridge?","VTOL tiltrotor UAV performs a runway touch-and-go mission at a bridge construction site. The airspace includes a defined geofence and both static and moving no-fly zones. A 400-meter runway is oriented at 260 degrees with touch-and-go operations required. The UAV transitions between vertical and fixed-wing flight with specified transition durations. Weather features strong westerly winds up to 14 m/s at altitude and poor visibility due to dust. GNSS multipath and electromagnetic interference degrade navigation sensor performance. A single traffic UAV crosses the airspace perpendicularly at low altitude. A moving obstacle drifts slowly through the flight path near a thermal updraft zone. Communication experiences brief uplink/downlink outages during the mission. Payload includes RGB camera and LIDAR, with battery reserves set to 30%.",Prioritize GNSS with baro-altimeter for altitude hold,Switch entirely to LIDAR for terrain following,Use IMU and visual odometry during GNSS outages,Rely on magnetic heading for course alignment,Increase reliance on GPS during high-wind phases,Disable sensor fusion to reduce processing lag,Trust last known position during comms blackouts,"[""Prioritize GNSS with baro-altimeter for altitude hold"", ""Switch entirely to LIDAR for terrain following"", ""Use IMU and visual odometry during GNSS outages"", ""Rely on magnetic heading for course alignment"", ""Increase reliance on GPS during high-wind phases"", ""Disable sensor fusion to reduce processing lag"", ""Trust last known position during comms blackouts""]",Visual odometry compensates for GNSS multipath and drift under dust-affected visibility while integrating with IMU for smooth state estimation. This fusion maintains positioning integrity during transition when aerodynamic forces increase susceptibility to wind errors. Other sensors like magnetometers or standalone GNSS become unreliable due to interference and environmental noise. 2025-11-01T18:06:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_corridor_follow_helicopter_gusts_27ea687606f4_mcq.json,uavbench-mcq-v1,warehouse_corridor_follow_helicopter_gusts,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,E,False,"Helicopter UAV with 0.3 kg payload, 30% battery reserve, and 600-second limit must navigate 4 waypoints avoiding dynamic obstacles and wind gusts up to 4.5 m/s.","This is an indoor warehouse inspection mission using a dual-rotor helicopter UAV equipped with GNSS, IMU, lidar, and RGB camera. The flight occurs in a confined rectangular airspace with a maximum altitude of 12 meters AGL and strict geofencing. Significant wind gusts up to 4.5 m/s are present despite the indoor environment, creating challenging flight conditions. The UAV must follow a predefined corridor pattern through four waypoints while avoiding both static and moving no-fly zones. A dynamic no-fly zone drifts slowly across the area, requiring real-time path adjustments. Another UAV and a moving spherical obstacle travel through the space, necessitating separation monitoring with a 5-meter threshold. The helicopter carries a 0.3 kg payload and operates under battery constraints with a 30% reserve requirement. GNSS multipath effects may degrade positioning accuracy near warehouse structures. Mission success depends on completing the route within 600 seconds while maintaining safety and avoiding breaches.",Fly direct paths at max speed to save time,Hover at waypoints to reset navigation sensors,Reduce camera frame rate to save power,Ascend to 12 m for better GNSS reception,Follow corridor pattern at reduced speed,Increase rotor RPM to counteract wind gusts continuously,Transmit full RGB video stream continuously,"[""Fly direct paths at max speed to save time"", ""Hover at waypoints to reset navigation sensors"", ""Reduce camera frame rate to save power"", ""Ascend to 12 m for better GNSS reception"", ""Follow corridor pattern at reduced speed"", ""Increase rotor RPM to counteract wind gusts continuously"", ""Transmit full RGB video stream continuously""]","Following the corridor pattern at reduced speed optimizes energy use by minimizing aggressive maneuvers and maintaining mission progress. It balances wind compensation and obstacle avoidance without excessive power draw. Other options either waste energy, risk breaching time limits, or overload communication and computation resources." 2025-11-01T18:06:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_glider_hail_d03cf8830f54_mcq.json,uavbench-mcq-v1,warehouse_indoor_glider_hail,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"With 12 m/s winds, icing, and GNSS degraded, what airspeed and pitch strategy maintains lift and control during grid inspection at 50 m AGL?","This is an inspection mission using a fixed-wing glider UAV in a desert environment. The aircraft is equipped with a battery-powered propulsion system and carries an RGB camera payload for visual data collection. The mission takes place within a defined polygonal airspace with altitude limits between 5 and 150 meters AGL. A static no-fly zone is present near the center of the area, and a second dynamic no-fly zone moves diagonally across the airspace. The glider must navigate around a moving spherical obstacle and maintain separation from another UAV on a collision course. Weather conditions include strong winds up to 12 m/s, poor visibility, hail, and icing conditions that trigger a simulated icing fault. GNSS signals are degraded due to electromagnetic interference, though multipath effects are not present. The mission requires use of a designated runway for landing and includes communication dropouts during two brief time windows. Energy management is critical due to high drag and manoeuvring penalties in turbulent air. The UAV must complete a grid-pattern inspection of four waypoints and return safely within a 600-second time limit.",Increase airspeed to 25 m/s and pitch up 10°,Reduce airspeed to 12 m/s and hold level pitch,Fly at 18 m/s with 15° angle of attack,Descend to 5 m AGL to avoid wind shear,Climb to 150 m for clearer GNSS reception,Turn sharply into wind with 60° bank,Maintain 20 m/s and 8° angle of attack,"[""Increase airspeed to 25 m/s and pitch up 10°"", ""Reduce airspeed to 12 m/s and hold level pitch"", ""Fly at 18 m/s with 15° angle of attack"", ""Descend to 5 m AGL to avoid wind shear"", ""Climb to 150 m for clearer GNSS reception"", ""Turn sharply into wind with 60° bank"", ""Maintain 20 m/s and 8° angle of attack""]","At 20 m/s and 8° angle of attack, the glider stays above stall speed while minimizing drag in turbulent, low-density air. This balances lift generation and energy efficiency under icing-induced wing roughness. Higher angles or speeds increase drag or risk stall; lower speeds reduce control authority in wind gusts." 2025-11-01T18:06:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_glider_survey_e497571f48c6_mcq.json,uavbench-mcq-v1,warehouse_indoor_glider_survey,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,"Which UAV system best balances endurance, sensor payload (0.5 kg), and wind resilience (8.0 m/s, gusts +4.0 m/s) in GNSS-denied indoor conditions?","This is an indoor glider survey mission conducted within a confined warehouse-like airspace. The UAV operates in a rectangular geofenced area with altitude limits between 2.0 and 30.0 meters AGL. Weather includes a moderate wind of 8.0 m/s from 135 degrees, with gusts up to 4.0 m/s. The UAV is a fixed-wing glider equipped with a battery-powered propulsion system and a 0.5 kg payload. It carries RGB camera, LiDAR, GNSS, IMU, magnetometer, and barometer sensors for navigation and data collection. A cylindrical no-fly zone of 10-meter radius is centered at (50, 40) with a ceiling at 15 meters. The mission requires flying a corridor survey pattern through five waypoints within a 600-second time budget. The UAV spawns at (10, 10, 5) and must avoid the no-fly zone near the center of the area. Separation assurance is monitored with a 10-meter threshold and 5-second time-to-closest-approach alert. GNSS signals may experience multipath effects due to indoor structural interference, impacting positioning accuracy.",Fixed-wing with LiDAR-only navigation and no GNSS,Quadcopter with RTK-GNSS and full sensor suite,Glider with barometric-altitude hold and camera only,VTOL with redundant IMU and optical flow navigation,Fixed-wing with GNSS/INS fusion and full sensors,Multirotor with LiDAR and magnetometer-only heading,Glider with vision-aided inertial navigation system,"[""Fixed-wing with LiDAR-only navigation and no GNSS"", ""Quadcopter with RTK-GNSS and full sensor suite"", ""Glider with barometric-altitude hold and camera only"", ""VTOL with redundant IMU and optical flow navigation"", ""Fixed-wing with GNSS/INS fusion and full sensors"", ""Multirotor with LiDAR and magnetometer-only heading"", ""Glider with vision-aided inertial navigation system""]","The glider must operate in GNSS-challenged indoor space with wind disturbances, requiring robust state estimation. Vision-aided inertial navigation compensates for GNSS multipath while supporting full sensor payload and efficient flight. Other options either lack environmental adaptability, endurance, or sufficient navigation redundancy for reliable corridor surveying under time and spatial constraints." 2025-11-01T18:06:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_hail_scenario_c0a6ff865693_mcq.json,uavbench-mcq-v1,warehouse_indoor_hail_scenario,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"During 45s GNSS jamming in a warehouse, with EM interference and moving obstacles, how should the UAV ensure secure, stable navigation?","This scenario involves an indoor warehouse inspection mission using a quadrotor UAV equipped with lidar, RGB camera, and IMU-based navigation. The flight occurs in a confined 20x30 meter warehouse with a maximum altitude of 4.0 meters AGL and a minimum safe height of 0.5 meters. GNSS is unavailable, and the environment features GNSS multipath effects and electromagnetic interference, with a simulated GNSS jamming event lasting 45 seconds. Weather includes hail and poor visibility, though wind and gusts are absent indoors. The UAV must navigate around a static no-fly zone and a moving cylindrical no-fly zone drifting at 0.3 m/s, while avoiding a moving spherical obstacle. The mission follows a corridor inspection pattern with five waypoints, requiring full coverage within a 600-second time limit. Battery capacity is 150 Wh, with reserve set to 20%, and energy use modeled with hover, drag, and maneuvering factors. One conflicting UAV traffic agent moves through the space at 3.0 m/s. Communication experiences intermittent uplink loss, and the UAV must maintain DAA compliance with a 2.0-meter separation minimum and 3.0-second TTC threshold.",Use encrypted lidar-IMU fusion with authenticated waypoints,Rely on last known GNSS fix until signal returns,Disable encryption to reduce IMU processing latency,Switch to open-loop timer-based waypoint progression,Accept unverified remote commands to correct drift,Increase control frequency using unauthenticated sensor data,Transmit all telemetry in plaintext for faster relay,"[""Use encrypted lidar-IMU fusion with authenticated waypoints"", ""Rely on last known GNSS fix until signal returns"", ""Disable encryption to reduce IMU processing latency"", ""Switch to open-loop timer-based waypoint progression"", ""Accept unverified remote commands to correct drift"", ""Increase control frequency using unauthenticated sensor data"", ""Transmit all telemetry in plaintext for faster relay""]","Encrypted lidar-IMU fusion ensures data integrity and confidentiality while maintaining navigation accuracy without GNSS. Authentication prevents spoofed waypoints during communication recovery. This preserves control stability, resists jamming-induced attacks, and enables safe obstacle avoidance in confined space." 2025-11-01T18:06:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_helicopter_delivery_e73ccdb5445c_mcq.json,uavbench-mcq-v1,warehouse_indoor_helicopter_delivery,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,F,False,"Which route navigates 3 waypoints below 25 m AGL, avoids static/dynamic NFZs, and maintains 5 m separation with 6 m/s winds?","This is an indoor warehouse delivery mission using a single battery-powered helicopter UAV equipped with lidar, RGB camera, and standard navigation sensors. The flight occurs in a confined coastal airspace with a maximum altitude of 25 meters AGL and good visibility. Winds are moderate at 6 m/s from 240 degrees with gusts up to 4 m/s, potentially affecting stability near openings. The UAV has a total mass of 3.0 kg including a 0.5 kg payload and must operate within strict polygonal geofences. A static no-fly zone blocks the center of the area, and a smaller dynamic no-fly zone moves slowly through the environment. Another UAV and a moving spherical obstacle traverse the space, requiring real-time separation management. The mission requires navigating a corridor pattern through three waypoints within a 600-second time limit. Collision avoidance is critical, with a 5-meter separation threshold and 5-second time-to-collision alert limit. The UAV spawns at low altitude near the southwest corner and aims to land at the northeast corner, with an emergency site available. GNSS signals may experience multipath interference indoors, increasing reliance on lidar and IMU for positioning.",Fly direct between waypoints at 20 m AGL,Climb to 30 m AGL for clearer GNSS signal,Descend to 10 m AGL near dynamic NFZ,Cut through static NFZ center to save time,Hover 15 seconds to reassess moving obstacle,"Follow corridor pattern at 22 m AGL, offset 6 m",Reroute eastward beyond geofence boundary,"[""Fly direct between waypoints at 20 m AGL"", ""Climb to 30 m AGL for clearer GNSS signal"", ""Descend to 10 m AGL near dynamic NFZ"", ""Cut through static NFZ center to save time"", ""Hover 15 seconds to reassess moving obstacle"", ""Follow corridor pattern at 22 m AGL, offset 6 m"", ""Reroute eastward beyond geofence boundary""]","Option F maintains safe altitude under 25 m AGL, respects geofences, and applies lateral offset to account for obstacle size and sensor uncertainty. It follows the required corridor pattern while minimizing deviation time. Other options violate altitude, NFZ, or separation constraints essential for mission success." 2025-11-01T18:06:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_convertiplane_sandstorm_ecc882fba3f0_mcq.json,uavbench-mcq-v1,warehouse_indoor_convertiplane_sandstorm,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During GNSS jamming (120–150 s) with uplink loss, 8 m/s winds, and a drifting obstacle, how should the UAV ensure secure, stable navigation?","This is an inspection mission using a convertiplane UAV in a desert environment. The aircraft operates within a defined airspace bounded by a polygon geofence, with a maximum altitude of 50 meters AGL. A sandstorm reduces visibility and introduces challenging flying conditions, compounded by 8 m/s winds from the west and gusts up to 4 m/s. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors, supporting both VTOL and fixed-wing flight. A cylindrical no-fly zone blocks access to the center of the airspace, and a moving spherical obstacle drifts westward at 2 m/s. The mission follows a rectangular corridor pattern requiring runway-assisted takeoff and landing, with transitions between flight modes. GNSS jamming occurs between 120 and 150 seconds, degrading positioning accuracy temporarily. Uplink communication is lost during the same interval, limiting remote control input. The UAV must complete the circuit within 600 seconds while avoiding collisions, maintaining separation, and preserving battery reserves.",Rely solely on encrypted GNSS with adaptive spoofing detection,Switch to lidar-IMU dead reckoning with authenticated control inputs,Use open telemetry to request ground station guidance,Lock flight path using last known GNSS position,Increase control loop frequency without sensor fusion,Transmit unencrypted video to verify position via RGB feed,Disable geofence checks to prioritize obstacle avoidance,"[""Rely solely on encrypted GNSS with adaptive spoofing detection"", ""Switch to lidar-IMU dead reckoning with authenticated control inputs"", ""Use open telemetry to request ground station guidance"", ""Lock flight path using last known GNSS position"", ""Increase control loop frequency without sensor fusion"", ""Transmit unencrypted video to verify position via RGB feed"", ""Disable geofence checks to prioritize obstacle avoidance""]","B maintains navigation integrity by fusing lidar and IMU when GNSS is compromised, avoiding spoofing risks. Encrypted, authenticated inputs preserve command integrity despite uplink vulnerability. This ensures control stability and obstacle avoidance without relying on untrusted or unavailable signals." 2025-11-01T18:06:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_amphibious_uav_gusts_e4286eb1fabf_mcq.json,uavbench-mcq-v1,warehouse_indoor_amphibious_uav_gusts,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"At 15m altitude, wind gusts reach 4.5 m/s from 240°; visibility is low. How should navigation be prioritized?","This is an indoor warehouse inspection mission using an amphibious fixed-wing UAV equipped with RGB camera and LiDAR payload. The UAV operates within a confined jungle-like artificial environment with poor visibility and significant wind gusts up to 4.5 m/s from 240 degrees. Flight altitude is restricted between 0 and 60 meters AGL within a polygonal geofenced area. A cylindrical no-fly zone centered at (20,25) with a 5-meter radius and ceiling at 30 meters must be avoided. The mission follows a corridor inspection pattern with five waypoints at 15 meters altitude, returning to a preferred landing site at (5,5,0). A moving spherical obstacle drifts slowly near the center of the operational area, requiring dynamic avoidance. Traffic includes one opposing UAV entering from the south boundary. The UAV must maintain runway-aligned approach for landing and comply with separation standards of 10 meters and 5 seconds time-to-collision. GNSS signals may suffer multipath due to indoor warehouse conditions, challenging navigation accuracy. Battery endurance and sensor reliability are critical under high wind and gust conditions.",Rely solely on GNSS for position due to geofence accuracy,"Switch to IMU-LiDAR fusion, downweighting GNSS due to multipath","Use GPS and visual odometry, ignoring wind-induced drift","Depend on LiDAR-only SLAM, assuming full environmental reflectivity",Trust RGB optical flow despite poor visibility and jungle clutter,Fuse GNSS and IMU at fixed weights regardless of signal quality,Prioritize heading alignment using magnetometer in metal-rich warehouse,"[""Rely solely on GNSS for position due to geofence accuracy"", ""Switch to IMU-LiDAR fusion, downweighting GNSS due to multipath"", ""Use GPS and visual odometry, ignoring wind-induced drift"", ""Depend on LiDAR-only SLAM, assuming full environmental reflectivity"", ""Trust RGB optical flow despite poor visibility and jungle clutter"", ""Fuse GNSS and IMU at fixed weights regardless of signal quality"", ""Prioritize heading alignment using magnetometer in metal-rich warehouse""]","GNSS suffers multipath indoors, making it unreliable. IMU-LiDAR fusion provides robust localization by compensating for wind disturbances and low visibility. This strategy maintains spatial coherence and avoids drift better than single-source or unweighted fusion methods." 2025-11-01T18:06:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_glider_crosswind_db164854e952_mcq.json,uavbench-mcq-v1,warehouse_indoor_glider_crosswind,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,E,False,"At 38m AGL with 8.5 m/s crosswind, UAV detects moving obstacle at 12m distance and 4s time-to-close. What action prioritizes safety?","This is an indoor glider UAV inspection mission in a coastal warehouse environment. The UAV operates within a confined airspace bounded by a polygonal geofence from 5 to 45 meters AGL. A steady 8.5 m/s crosswind from the west and gusts up to 4 m/s affect flight dynamics. The UAV is a fixed-wing glider equipped with a battery-powered propulsion system, RGB camera, LIDAR, and standard navigation sensors. It carries a 0.3 kg payload and must avoid two no-fly zones: one static cylinder and one moving cylinder drifting westward. A moving spherical obstacle travels through the airspace, requiring real-time collision avoidance. The mission follows a corridor pattern with five waypoints and a 10-minute time limit. Air traffic includes another UAV moving northward, and separation monitoring enforces a 10-meter minimum distance with 5-second time-to-close threshold. GNSS signals may experience multipath due to the indoor setting, and brief communication dropouts occur at specific simulation intervals. Success depends on completing the inspection without collisions, geofence violations, or critical battery depletion.",Continue mission; obstacle is outside 10m separation,Climb to 45m AGL to avoid collision,Execute emergency descent below 5m AGL,Abort mission and land immediately,Turn east to increase separation beyond 10m,Increase speed toward next waypoint,Deploy parachute inside warehouse,"[""Continue mission; obstacle is outside 10m separation"", ""Climb to 45m AGL to avoid collision"", ""Execute emergency descent below 5m AGL"", ""Abort mission and land immediately"", ""Turn east to increase separation beyond 10m"", ""Increase speed toward next waypoint"", ""Deploy parachute inside warehouse""]","The UAV must maintain 10m separation with 5s time-to-close threshold; at 4s and 12m, risk is imminent. Continuing (A, F) violates collision avoidance protocols. Climbing (B) risks geofence breach at 45m, while descending (C) violates 5m lower bound. Parachute use (G) is unsafe indoors. Aborting (D) is excessive if avoidance is possible. Turning east (E) safely increases separation while preserving mission integrity, aligning with safety-of-life and lawful operation within constraints." 2025-11-01T18:06:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_dust_scenario_e07619135edf_mcq.json,uavbench-mcq-v1,warehouse_indoor_dust_scenario,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best handles GNSS degradation, dust, and dynamic obstacles at 2–40 m AGL with runway-assisted transitions?","This is an indoor warehouse inspection mission using a fixed-wing VTOL UAV in a suburban area. The UAV operates within a confined airspace from 2 to 40 meters AGL, bounded by a polygonal geofence. Dust and poor visibility degrade visual and sensor performance, while wind increases with altitude and shifts direction. The amphibious UAV carries an RGB camera payload for visual inspection and relies on GNSS, IMU, and LiDAR for navigation. Significant GNSS multipath, electromagnetic interference, and moderate jamming affect positioning accuracy. A static no-fly zone blocks the central area, and a moving obstacle drifts through the workspace. Dynamic no-fly zones and other UAV traffic require real-time separation management. The mission requires runway-assisted takeoff and landing with strict altitude and transition timing. Communication experiences brief uplink/downlink losses, demanding resilient control and data handling.",Monocular vision-only navigation with GPS fallback,"Pure LiDAR SLAM, no GNSS, high power draw",Dual IMU + LiDAR fusion with adaptive filtering,"RTK-GNSS dependent, minimal IMU redundancy","Vision-aided INS, low dust penetration capability","High-gain GNSS antenna, no LiDAR backup",Electromagnetic-hardened IMU with basic PID control,"[""Monocular vision-only navigation with GPS fallback"", ""Pure LiDAR SLAM, no GNSS, high power draw"", ""Dual IMU + LiDAR fusion with adaptive filtering"", ""RTK-GNSS dependent, minimal IMU redundancy"", ""Vision-aided INS, low dust penetration capability"", ""High-gain GNSS antenna, no LiDAR backup"", ""Electromagnetic-hardened IMU with basic PID control""]","C provides robust sensor fusion, mitigating GNSS multipath and dust interference via LiDAR and inertial redundancy. It ensures stable navigation during transitions and obstacle avoidance. Other options fail in redundancy, environmental resilience, or lack adaptive processing for dynamic conditions." 2025-11-01T18:06:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_hexacopter_lightning_a842824767dc_mcq.json,uavbench-mcq-v1,warehouse_indoor_hexacopter_lightning,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 430s, GNSS jamming starts with 240° wind; which navigation strategy maintains accuracy using sensor fusion?","This is an indoor inspection mission using a hexacopter UAV equipped with lidar, RGB camera, and standard navigation sensors. The flight occurs within a confined polygonal airspace in a mountainous environment with moderate wind from 240 degrees and a risk of lightning. The UAV must navigate around static and dynamic no-fly zones, including a moving cylindrical obstacle. A second UAV operates in the airspace, requiring separation management to avoid conflicts. The mission involves following a corridor pattern between four waypoints with a 10-minute time limit. GNSS jamming and communication loss are simulated between 420 and 450 seconds, challenging navigation and control. The UAV spawns at (5,5,5) meters and should land at a preferred site near (35,45,2), with an emergency site available. Battery capacity is limited, with a 30% reserve required and energy consumption affected by drag and maneuvering. Flight control is discrete, with eight directional actions available at each step. The scenario emphasizes resilience to sensor faults, environmental constraints, and real-time decision-making under degraded GNSS conditions.",Switch entirely to GNSS and disregard IMU drift,Rely solely on RGB optical flow in low-light indoor setting,Fuse lidar with IMU and barometer during GNSS outage,Use magnetic heading despite mountainous magnetic interference,Depend on visual odometry with no lidar cross-verification,Maintain course using only pre-jamming GNSS coordinates,Disable sensor fusion and reduce flight speed to zero,"[""Switch entirely to GNSS and disregard IMU drift"", ""Rely solely on RGB optical flow in low-light indoor setting"", ""Fuse lidar with IMU and barometer during GNSS outage"", ""Use magnetic heading despite mountainous magnetic interference"", ""Depend on visual odometry with no lidar cross-verification"", ""Maintain course using only pre-jamming GNSS coordinates"", ""Disable sensor fusion and reduce flight speed to zero""]","Lidar provides precise local positioning unaffected by GNSS jamming, while IMU and barometer offer short-term motion and altitude tracking. Fusing these compensates for individual sensor drift and environmental noise. This strategy maintains navigation integrity in confined, GPS-denied indoor conditions with wind disturbance." 2025-11-01T18:06:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_glider_fog_scenario_986d595577b1_mcq.json,uavbench-mcq-v1,warehouse_indoor_glider_fog_scenario,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV system best handles icing, GNSS issues, and confined airspace with a 10-minute corridor mission?","This is an indoor warehouse inspection mission using a fixed-wing glider UAV equipped with RGB camera, LiDAR, and standard navigation sensors. The flight occurs within a confined polygonal airspace near an airport perimeter, with altitude restricted between 5 and 60 meters AGL. Weather conditions include poor visibility and icing, with moderate crosswinds from the west increasing with altitude. A temporary icing event reduces aerodynamic efficiency for one minute during the mission. The glider must avoid a cylindrical no-fly zone centered at (50,30) and a moving spherical obstacle drifting left at 2 m/s. Thermal updrafts near (80,60) may assist lift but require precise control. GNSS signals suffer from multipath interference and mild jamming, complicating navigation near structures. The mission follows a corridor pattern through four waypoints within a 10-minute window, requiring accurate path tracking. Communication experiences brief dropouts at 120 and 450 seconds, demanding autonomous resilience. Landing must occur on a designated site, with runway use required despite limited space.",High-wing glider with thermal lift optimization,Quadcopter with LiDAR and RTK-GNSS backup,Fixed-wing with de-icing and optical flow navigation,Ducted fan with high hover endurance,Glider with GNSS-only navigation and no redundancy,VTOL with dual LiDAR and wind compensation,Lightweight foam glider with minimal sensors,"[""High-wing glider with thermal lift optimization"", ""Quadcopter with LiDAR and RTK-GNSS backup"", ""Fixed-wing with de-icing and optical flow navigation"", ""Ducted fan with high hover endurance"", ""Glider with GNSS-only navigation and no redundancy"", ""VTOL with dual LiDAR and wind compensation"", ""Lightweight foam glider with minimal sensors""]","Fixed-wing with de-icing maintains aerodynamic efficiency during icing, while optical flow compensates for GNSS multipath and jamming. It balances speed, endurance, and navigation resilience in confined, obstructed airspace better than less robust or higher-drift alternatives." 2025-11-01T18:06:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_icing_amphibious_d19936aa4a93_mcq.json,uavbench-mcq-v1,warehouse_indoor_icing_amphibious,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,G,False,"At 150s, icing hits. UAV at 55m AGL, 180s into mission. Wind 6.5m/s, multipath high. How proceed?","This is an inspection mission in a jungle environment using an amphibious fixed-wing UAV equipped with GNSS, IMU, lidar, and RGB camera. The UAV operates within a 200x150 meter airspace bounded by a geofence, with a maximum altitude of 60 meters AGL. Icing conditions are present, and a simulated icing event occurs at 150 seconds, reducing performance by 40% for one minute. Weather includes moderate wind at 6.5 m/s from 145 degrees, increasing with altitude, and poor visibility. GNSS multipath and electromagnetic interference degrade navigation accuracy, with brief communication outages at 120 and 300 seconds. The mission includes four waypoints flown in a corridor pattern, requiring a runway for landing. A static no-fly zone is located at the center, and a moving no-fly cylinder drifts slowly through the area. A thermal updraft exists near the center, which could affect flight dynamics. The UAV must avoid collisions with static and moving obstacles, maintain separation from other traffic, and complete the mission within 600 seconds while managing battery reserves.","Maintain altitude and speed, continue to next waypoint","Descend to 30m AGL, slow to reduce icing impact",Climb to 60m AGL for better GNSS signal clarity,"Divert immediately to runway, land before 300s",Enter thermal updraft to gain altitude and energy,Circle at current position until icing event ends,"Descend to 40m AGL, proceed direct to next waypoint","[""Maintain altitude and speed, continue to next waypoint"", ""Descend to 30m AGL, slow to reduce icing impact"", ""Climb to 60m AGL for better GNSS signal clarity"", ""Divert immediately to runway, land before 300s"", ""Enter thermal updraft to gain altitude and energy"", ""Circle at current position until icing event ends"", ""Descend to 40m AGL, proceed direct to next waypoint""]","Descending to 40m reduces icing severity and wind exposure while maintaining safe terrain clearance. It avoids the updraft and NFZ, preserves battery, and continues mission within endurance. Other options either increase risk or waste time and energy." 2025-11-01T18:06:15Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_hexacopter_microburst_778d41f2fbfd_mcq.json,uavbench-mcq-v1,warehouse_indoor_hexacopter_microburst,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,D,False,"At 200s, comms loss (80% severity, 10s) occurs mid-mission; which response ensures control and data integrity?","This is an indoor inspection mission using a hexacopter UAV equipped with RGB camera, LiDAR, GNSS, IMU, and other standard sensors. The flight occurs within a confined rectangular airspace in a mountainous environment, though the immediate area is warehouse-like with defined geofences. Wind conditions include a steady 8 m/s from the west and gusts up to 4.5 m/s, with a risk of microbursts affecting low-altitude stability. The UAV must navigate between four waypoints in a corridor pattern while maintaining altitude between 2 and 25 meters AGL. A static no-fly zone blocks the center of the area, and a dynamic no-fly zone moves slowly through the space, requiring real-time avoidance. Another UAV and a moving spherical obstacle travel along set paths, enforcing separation requirements of at least 5 meters and a time-to-collision threshold of 5 seconds. GNSS multipath effects may degrade positioning accuracy near walls or structures. The mission includes a simulated comms loss at 200 seconds, lasting 10 seconds with 80% severity, testing resilience. Battery capacity is limited to 450 Wh, with a reserve of 30%, and the hexacopter must complete the inspection within 600 seconds while avoiding all obstacles and constraints.",Maintain GNSS-only navigation with encrypted telemetry,Switch to open-loop mode with unauthenticated commands,Rely solely on LiDAR for obstacle avoidance,Activate fallback to IMU + barometer with local path replan,Transmit unencrypted status updates every 0.5s,Disable intrusion detection to reduce latency,Use GNSS despite multipath and spoofing risk,"[""Maintain GNSS-only navigation with encrypted telemetry"", ""Switch to open-loop mode with unauthenticated commands"", ""Rely solely on LiDAR for obstacle avoidance"", ""Activate fallback to IMU + barometer with local path replan"", ""Transmit unencrypted status updates every 0.5s"", ""Disable intrusion detection to reduce latency"", ""Use GNSS despite multipath and spoofing risk""]","D ensures control stability by fusing IMU and barometer during comms loss, enabling safe navigation without GNSS spoofing vulnerability. It maintains data integrity via local sensor fusion and avoids unverified or unencrypted channels. This choice supports mission continuity under adversarial or degraded conditions." 2025-11-01T18:06:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_inspection_a559e082c1ed15cb_c626d9a27fdd_mcq.json,uavbench-mcq-v1,warehouse_indoor_inspection_a559e082c1ed15cb,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,D,False,"At 110s, UAV detects moving obstacle at (9.8, 7.3) with 1.8m separation and 2.5s time-to-collision while in uplink loss. What immediate action?","This is an indoor warehouse inspection mission using a quadrotor UAV equipped with a lidar and RGB camera payload. The flight occurs in a confined 20m x 15m polygonal airspace with a maximum altitude of 5.0m AGL and a minimum safe height of 0.5m. A central cylindrical no-fly zone of 2.0m radius is located at (10.0, 7.5), restricting access to a critical area. The UAV operates without GNSS, relying on IMU, barometer, and lidar due to GNSS multipath and electromagnetic interference indoors. Weather includes light wind from the east (1.5 m/s) with minor gusts and poor visibility, though less impactful indoors. The UAV has a 250Wh battery with a 30% reserve, limiting flight time to within a 600-second mission budget. It follows a predefined corridor inspection pattern with five waypoints, including a close approach near the no-fly zone at (10.0, 7.5, 2.0). A second UAV and a moving spherical obstacle traveling horizontally add dynamic collision risks. Control is discrete, with basic directional and yaw actions, and the detect-and-avoid system enforces a 2.0m separation and 3.0s time-to-collision threshold. Communication suffers intermittent uplink loss between 100–120 and 400–430 simulation steps, requiring robust autonomy.",Continue as planned; obstacle may diverge,Ascend to 4.5m to gain separation clearance,Descend to 0.6m to minimize collision energy,"Execute lateral avoidance to (8.5, 7.3)",Hover and wait 5 seconds for obstacle path,Abort mission and return to start point,Transmit emergency stop despite uplink loss,"[""Continue as planned; obstacle may diverge"", ""Ascend to 4.5m to gain separation clearance"", ""Descend to 0.6m to minimize collision energy"", ""Execute lateral avoidance to (8.5, 7.3)"", ""Hover and wait 5 seconds for obstacle path"", ""Abort mission and return to start point"", ""Transmit emergency stop despite uplink loss""]","The UAV must avoid collision within detect-and-avoid thresholds (2.0m, 3.0s) while respecting autonomy during uplink loss. Continuing (A), hovering (E), or transmitting (G) fails active avoidance. Ascending (B) risks ceiling proximity; descending (C) violates minimum safe height. Returning (F) over-responds before exhausting avoidance. Lateral move (D) safely mitigates risk within flight envelope and mission constraints." 2025-11-01T18:06:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_sandstorm_9923b30b58db_mcq.json,uavbench-mcq-v1,warehouse_indoor_sandstorm,minimax/minimax-m1,9,Comparative System Reasoning,7,?,G,False,"Which system ensures lidar-inertial navigation, 5m separation, and 30% battery reserve during sandstorm with 8 m/s winds?","This is an indoor warehouse inspection mission using a quadrotor UAV equipped with lidar, RGB camera, and IMU-based navigation due to the absence of GNSS. The operation takes place in a dense urban airspace with a defined polygon geofence and a central cylindrical no-fly zone. A severe sandstorm reduces visibility and introduces environmental uncertainty, while strong winds at 8 m/s with gusts up to 4 m/s challenge stability. The UAV must follow a corridor inspection pattern across five waypoints within a 600-second time limit. Battery capacity is limited to 180 Wh, with 30% reserved for safety, and energy consumption is affected by drag and maneuvering. A second UAV and a moving spherical obstacle introduce dynamic collision risks, requiring adherence to 5-meter separation and 5-second time-to-collision thresholds. Communication experiences two brief downlink loss windows, potentially disrupting telemetry. The UAV must rely on lidar and inertial sensors for localization due to GNSS jamming fault scheduled between seconds 200 and 260. Mission success depends on completing the route without geofence breaches, collisions, or loss of separation. Ending battery level and minimum separation distances are key performance metrics.",Monocular vision-only navigation with 20 Wh reserve,GNSS-dependent EKF with 10 Hz update rate,Lidar-inertial fusion with 15 Hz loop closure,Optical flow hover using RGB camera only,Pre-mapped path with no dynamic obstacle update,Dual-lidar SLAM with 40% power overhead,"IMU-lidar-visual fusion, 30 Wh reserve, 25 Hz updates","[""Monocular vision-only navigation with 20 Wh reserve"", ""GNSS-dependent EKF with 10 Hz update rate"", ""Lidar-inertial fusion with 15 Hz loop closure"", ""Optical flow hover using RGB camera only"", ""Pre-mapped path with no dynamic obstacle update"", ""Dual-lidar SLAM with 40% power overhead"", ""IMU-lidar-visual fusion, 30 Wh reserve, 25 Hz updates""]","G combines lidar, IMU, and visual data for robust GNSS-denied navigation during the 60-second jamming window, while maintaining 30% reserve (54 Wh) for safety. It processes sensor data at 25 Hz, enabling timely obstacle avoidance under 5-second collision thresholds. Other options fail in redundancy, energy margin, update rate, or dynamic awareness." 2025-11-01T18:06:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_sandstorm_hexacopter_e28c0cf654ad_mcq.json,uavbench-mcq-v1,warehouse_indoor_sandstorm_hexacopter,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,"At 200s, GNSS jamming starts amid uplink loss; sandstorm reduces visibility. Which action maintains navigation integrity and control?","Inspection mission using a hexacopter equipped with LiDAR, RGB camera, and IMU in a dense urban warehouse environment. Flight occurs entirely indoors with no GNSS availability and significant GNSS multipath and jamming interference. Weather includes poor visibility due to an active sandstorm and strong winds at 8.5 m/s with gusts up to 4.2 m/s. The UAV operates within a confined airspace from 1 to 15 meters AGL, bounded by a polygonal geofence. A static no-fly zone blocks the central area, while a dynamic no-fly zone moves through the workspace. A single traffic UAV and a moving spherical obstacle create dynamic collision hazards. The mission requires visiting five waypoints in a corridor pattern within a 600-second time limit. Battery capacity is limited to 450 Wh with a 30% reserve, and propulsion efficiency is degraded by drag and maneuvers. Communication suffers from intermittent uplink loss between 180 and 240 seconds into the flight. A severe GNSS jamming fault occurs at 200 seconds, lasting one minute, further challenging navigation.",Switch to LiDAR-IMU fusion with encrypted command authentication,Rely on last known GNSS fix until signal returns,Descend to 1m AGL using unverified hover commands,Transmit unencrypted position updates every 2s,Disable IMU checks to reduce processing latency,Trust all telemetry without packet validation,Use open-loop motor control to save power,"[""Switch to LiDAR-IMU fusion with encrypted command authentication"", ""Rely on last known GNSS fix until signal returns"", ""Descend to 1m AGL using unverified hover commands"", ""Transmit unencrypted position updates every 2s"", ""Disable IMU checks to reduce processing latency"", ""Trust all telemetry without packet validation"", ""Use open-loop motor control to save power""]",LiDAR-IMU fusion provides GNSS-denied navigation with high spatial consistency in indoor environments. Encrypted authentication ensures command integrity during uplink vulnerability. This maintains control stability and cyber-physical resilience against spoofing and jamming. 2025-11-01T18:06:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_octocopter_snowfall_55e2639f8ad4_mcq.json,uavbench-mcq-v1,warehouse_indoor_octocopter_snowfall,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At t=520s, UAV detects low battery (32% remaining) while 40m from final waypoint; moving obstacle approaches at 0.5 m/s.","This is an indoor inspection mission using an octocopter UAV in a confined warehouse environment located in an arctic region. The airspace is restricted to a rectangular polygon with a maximum altitude of 15 meters AGL and a minimum of 0.5 meters. A cylindrical no-fly zone with a 3-meter radius is centered at (20, 15), representing a critical obstacle or restricted area. The UAV is equipped with a battery-powered propulsion system, carries a 1.2 kg payload, and is outfitted with GNSS, IMU, lidar, RGB camera, and other standard sensors. Despite indoor operation, the scenario simulates snowfall and poor visibility with 6.5 m/s winds from 310 degrees, creating challenging environmental conditions. The UAV must follow a corridor inspection pattern across five waypoints while avoiding a moving spherical obstacle traveling horizontally at 0.5 m/s. A second UAV is present in the airspace, moving along the southern boundary, requiring separation management with a minimum safe distance of 2.5 meters. The mission must be completed within 600 seconds, and the UAV must maintain communication with RSSI above -85 dBm. Battery reserve is set to 30%, and energy consumption is modeled with hover power at 320 W and additional drag and maneuvering losses. Key constraints include geofence compliance, NFZ avoidance, collision avoidance, and maintaining sufficient battery and separation from traffic.",Continue to final waypoint to complete mission.,"Abort mission immediately, return to base.",Hover in place until moving obstacle passes.,Descend to 0.4m AGL to reduce energy use.,Fly through NFZ to shorten return path.,Approach second UAV to improve signal strength.,Eject payload to conserve battery for return.,"[""Continue to final waypoint to complete mission."", ""Abort mission immediately, return to base."", ""Hover in place until moving obstacle passes."", ""Descend to 0.4m AGL to reduce energy use."", ""Fly through NFZ to shorten return path."", ""Approach second UAV to improve signal strength."", ""Eject payload to conserve battery for return.""]","Safety requires aborting when battery nears reserve threshold with obstacles and time pressure. Continuing risks collision or forced landing. Returning ensures compliance with geofence, NFZ, separation, and battery safety margins." 2025-11-01T18:06:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_sandstorm_octocopter_85480981bda7_mcq.json,uavbench-mcq-v1,warehouse_indoor_sandstorm_octocopter,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,?,G,False,"Octocopter must inspect 5 waypoints in 600 s with 0.5 kg payload, 8 m/s winds, and 30 s GNSS jamming at 200 s.","This UAV mission involves an octocopter conducting an inspection at an offshore platform. The operation takes place in a defined airspace with a minimum altitude of 2 meters and a maximum of 25 meters AGL. Weather conditions include strong winds at 8 m/s with gusts up to 4.5 m/s and poor visibility due to an active sandstorm. The UAV is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors, carrying a 0.5 kg payload. A static no-fly zone and a moving no-fly cylinder create dynamic constraints. Another UAV and a moving spherical obstacle operate within the same airspace, requiring separation maintenance. The mission follows a grid pattern with five waypoints and must be completed within 600 seconds. GNSS jamming occurs at 200 seconds for 30 seconds, simulating signal degradation. Communication experiences brief downlink losses during two time windows. The UAV must avoid geofence breaches, maintain safe separation, and complete the inspection despite environmental and system challenges.",Fly full speed throughout to finish early,Hover at each waypoint for maximum data capture,Reduce camera resolution during sandstorm,Ascend to 25 m AGL for better GNSS reception,Disable lidar to save power during jamming,Abort mission after first comms loss,"Use IMU-lidar fusion during jamming, optimize path","[""Fly full speed throughout to finish early"", ""Hover at each waypoint for maximum data capture"", ""Reduce camera resolution during sandstorm"", ""Ascend to 25 m AGL for better GNSS reception"", ""Disable lidar to save power during jamming"", ""Abort mission after first comms loss"", ""Use IMU-lidar fusion during jamming, optimize path""]","G maintains navigation during GNSS outage using efficient sensor fusion, conserving energy while ensuring mission continuity. It balances computational load and flight efficiency to meet time and endurance constraints. Other options waste power, increase risk, or compromise mission completion." 2025-11-01T18:06:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_convertiplane_sandstorm_6658d64a40cf_mcq.json,uavbench-mcq-v1,warehouse_indoor_convertiplane_sandstorm,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best handles GNSS loss at 120s, a moving obstacle at 2 m/s, and sandstorm visibility?","This is an indoor inspection mission conducted within a confined industrial plant environment. The UAV is a convertiplane, capable of vertical takeoff and fixed-wing flight, equipped with RGB camera, LiDAR, and standard navigation sensors. Weather conditions include poor visibility due to an active sandstorm and moderate wind at 8.5 m/s from 210 degrees with gusts up to 4.5 m/s. Flight altitude is restricted between 1 and 25 meters above ground level within a defined polygonal airspace. A cylindrical no-fly zone of 8-meter radius is centered at (40, 30), blocking part of the facility. The mission requires use of a runway for takeoff and landing, with a transition time profile defined between VTOL and forward flight modes. A single moving obstacle travels horizontally at 2 m/s through the workspace, posing a dynamic collision risk. Another UAV is present in the airspace, approaching from the southeast at 12 m/s, requiring separation monitoring. GNSS jamming occurs between 120 and 150 seconds into the mission, degrading positioning accuracy for 30 seconds. Communication experiences a 30-second downlink loss during the same period, limiting data transmission and remote monitoring.",Fixed-wing with RTK-GNSS and no LiDAR,Quadcopter with LiDAR and optical flow only,"Convertiplane with LiDAR, IMU, and visual-inertial odometry",VTOL with radar and no redundancy during comms loss,Fixed-wing relying solely on GNSS for navigation,Convertiplane using only GPS and camera for obstacle avoidance,Quadcopter with LiDAR and continuous GNSS dependence,"[""Fixed-wing with RTK-GNSS and no LiDAR"", ""Quadcopter with LiDAR and optical flow only"", ""Convertiplane with LiDAR, IMU, and visual-inertial odometry"", ""VTOL with radar and no redundancy during comms loss"", ""Fixed-wing relying solely on GNSS for navigation"", ""Convertiplane using only GPS and camera for obstacle avoidance"", ""Quadcopter with LiDAR and continuous GNSS dependence""]","The convertiplane with LiDAR, IMU, and visual-inertial odometry maintains navigation accuracy during GNSS jamming and sandstorm conditions. It enables reliable obstacle tracking and transition resilience. Other options fail due to sensor reliance, lack of redundancy, or poor endurance in dynamic, GPS-denied environments." 2025-11-01T18:06:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_swarm_inspection_rain_8da7d093ce67_mcq.json,uavbench-mcq-v1,warehouse_indoor_swarm_inspection_rain,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,B,False,"With 5.0m max altitude, 600s mission time, and 1.5m separation, how should the swarm adjust speed in a narrow corridor near the NFZ?","This scenario involves a swarm UAV inspection mission inside an industrial warehouse. The airspace is confined to a 20x30 meter indoor area with a strict altitude range from 0.5 to 5.0 meters AGL. Weather includes light rain and poor visibility, though the indoor setting minimizes direct weather impact. The UAVs are small quadcopters with a battery-powered swarm configuration, each carrying an RGB camera and LiDAR payload for structural inspection. GNSS is unavailable, requiring reliance on IMU, barometer, and LiDAR due to GNSS denial and multipath interference indoors. Electromagnetic interference is present, complicating sensor and communication performance. A central no-fly cylinder blocks access around a critical structure at the center of the warehouse. The swarm consists of five drones with defined roles: leader, scout, relay, and two followers, maintaining a minimum separation of 1.5 meters. Navigation occurs through discrete control actions in a corridor inspection pattern, avoiding obstacles and the NFZ while staying within geofenced boundaries. The mission must complete within 600 seconds, returning to a preferred landing site near the start point.",Increase speed to reduce exposure time in high-interference zone,Decrease speed to maintain formation stability and LiDAR accuracy,Ascend to 5.0m for better communication relay coverage,Descend to 0.6m to minimize EM interference near metal racks,Hover for 10s to reestablish leader-follower GPS synchronization,Split swarm to bypass NFZ faster using parallel paths,Disable LiDAR to save power for extended loitering,"[""Increase speed to reduce exposure time in high-interference zone"", ""Decrease speed to maintain formation stability and LiDAR accuracy"", ""Ascend to 5.0m for better communication relay coverage"", ""Descend to 0.6m to minimize EM interference near metal racks"", ""Hover for 10s to reestablish leader-follower GPS synchronization"", ""Split swarm to bypass NFZ faster using parallel paths"", ""Disable LiDAR to save power for extended loitering""]","Reducing speed preserves aerodynamic control in confined space, ensures LiDAR data fidelity for obstacle avoidance, and maintains safe separation under sensor uncertainty. It balances energy use, navigation accuracy, and coordination without violating altitude or NFZ constraints. Other options compromise safety, sensing, or swarm integrity under EM interference and GNSS denial." 2025-11-01T18:06:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_helicopter_snowfall_5aed44cd065a_mcq.json,uavbench-mcq-v1,warehouse_indoor_helicopter_snowfall,minimax/minimax-m1,9,Comparative System Reasoning,7,?,B,False,"Which UAV configuration best balances obstacle avoidance, 450 Wh endurance, and GNSS-denied navigation in a 15m ceiling warehouse?","The mission is an indoor inspection using a helicopter UAV inside a warehouse. The airspace is confined to a 40x50 meter polygon with a low ceiling of 15 meters AGL. Weather includes snowfall and poor visibility, though the indoor environment limits exposure. The UAV is a dual-rotor helicopter powered by a 450 Wh battery, carrying an RGB camera and LiDAR payload. A static no-fly zone blocks the center of the space, and a moving no-fly cylinder drifts leftward. Another UAV and a moving spherical obstacle create dynamic collision risks. The flight must avoid GNSS jamming between 120–150 seconds, coinciding with communication loss. Separation from traffic must remain above 5 meters with a time-to-closest approach threshold of 10 seconds. The UAV spawns at one corner and must follow a corridor pattern through four waypoints. Landing options include a preferred site and a distant emergency zone near the far edge.","Monocular vision-only navigation, 400g payload capacity","Dual-rotor with LiDAR and IMU fusion, 450 Wh battery","Fixed-pitch rotor, 300 Wh battery, RGB-only sensing",Single-rotor with GNSS-dependent path planning,"Quadrotor with 600 Wh battery, no LiDAR","Dual-rotor using optical flow, 450 Wh, no IMU","Tilt-rotor with 500 Wh, high 20m ceiling requirement","[""Monocular vision-only navigation, 400g payload capacity"", ""Dual-rotor with LiDAR and IMU fusion, 450 Wh battery"", ""Fixed-pitch rotor, 300 Wh battery, RGB-only sensing"", ""Single-rotor with GNSS-dependent path planning"", ""Quadrotor with 600 Wh battery, no LiDAR"", ""Dual-rotor using optical flow, 450 Wh, no IMU"", ""Tilt-rotor with 500 Wh, high 20m ceiling requirement""]","System B integrates LiDAR and IMU for reliable GNSS-denied navigation during jamming, critical for the 120–150s outage. Its 450 Wh battery matches energy constraints while enabling full payload operation. It outperforms others in sensor fusion, ceiling clearance, and obstacle awareness in dynamic, confined spaces." 2025-11-01T18:06:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_swarm_rain_scenario_965ff6d3d361_mcq.json,uavbench-mcq-v1,warehouse_indoor_swarm_rain_scenario,minimax/minimax-m1,9,Comparative System Reasoning,7,?,A,False,Which UAV configuration best ensures swarm coordination and fault tolerance during a 10-minute rain and icing inspection with no GNSS?,"This scenario involves a swarm UAV inspection mission inside a coastal warehouse. The airspace is confined to a 40x30-meter polygon with a minimum altitude of 1 meter and a maximum of 15 meters AGL. Weather includes rain, poor visibility, and icing conditions, with moderate wind from the west increasing slightly with height. The UAV is a quadcopter swarm drone equipped with LiDAR, RGB camera, IMU, and barometer, but lacks GNSS and relies on alternative navigation. The swarm consists of four drones with a minimum separation of 3 meters, including leader, follower, and relay roles. A static no-fly zone and a moving no-fly cylinder create dynamic obstacles, while another moving sphere obstacle drifts slowly. The mission includes a grid pattern inspection with a 10-minute time budget, starting and ending at the spawn point. GNSS multipath and electromagnetic interference degrade positioning, and icing faults occur midway, reducing performance. Communication experiences periodic uplink outages, and collision avoidance is monitored with a 5-meter separation threshold.",Leader-follower with RF relay links,"Fully autonomous drones, no relays",Centralized control via single ground station,GNSS-dependent navigation with IMU backup,Visual-only navigation in low visibility,Reduced separation to 2 meters for efficiency,LiDAR-only swarm without RGB feedback,"[""Leader-follower with RF relay links"", ""Fully autonomous drones, no relays"", ""Centralized control via single ground station"", ""GNSS-dependent navigation with IMU backup"", ""Visual-only navigation in low visibility"", ""Reduced separation to 2 meters for efficiency"", ""LiDAR-only swarm without RGB feedback""]","A- ensures robust communication via relay nodes, critical during uplink outages. It maintains formation with 3m separation, supports navigation without GNSS, and tolerates icing faults. Others fail in comms, sensing, or safety under dynamic obstacles and weather." 2025-11-01T18:06:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_aerial_mapping_hail_7392a779a1d8_mcq.json,uavbench-mcq-v1,warehouse_indoor_aerial_mapping_hail,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"Indoor 50x40m warehouse mission with 30s GNSS denial, hail-reduced visibility, and dynamic obstacles requires adaptive sensor fusion for navigation integrity.","This scenario involves an indoor aerial mapping mission inside a warehouse using a battery-powered amphibious UAV equipped with RGB camera and LiDAR payload. The UAV operates in a confined airspace bounded by a 50x40 meter polygon with altitude limits from 0.5 to 15 meters AGL. Weather conditions include light wind from the southeast and poor visibility due to hail, though the indoor setting partially mitigates exposure. A static no-fly zone is present near the center of the warehouse, and an additional dynamic no-fly zone drifts slowly through the area. The UAV must complete a grid-pattern mapping route covering five waypoints within a 10-minute time budget. A second UAV is present in the airspace, moving along a fixed path, requiring separation maintenance of at least 5 meters. A moving spherical obstacle also traverses the environment, adding complexity to path planning. GNSS signals are expected to degrade due to indoor operation and a simulated 30-second jamming fault during the mission. Communication links experience brief dropouts, and the UAV must rely on sensor fusion for navigation in GNSS-denied conditions. Constraints include avoiding all no-fly zones, maintaining safe separation from traffic and obstacles, and ensuring sufficient battery reserves for mission completion.",Prioritize GNSS-LiDAR fusion despite jamming for precise waypoint tracking,Switch to IMU-visual SLAM when GNSS degrades during jamming interval,Rely on LiDAR-only mapping using static warehouse features continuously,Use GPS-drifted path prediction during full 30-second communication blackout,Follow grid pattern using preloaded GNSS coordinates without updates,Depend on magnetometer heading under steel racks causing magnetic interference,Navigate by wind-relative attitude to compensate for southeast breeze indoors,"[""Prioritize GNSS-LiDAR fusion despite jamming for precise waypoint tracking"", ""Switch to IMU-visual SLAM when GNSS degrades during jamming interval"", ""Rely on LiDAR-only mapping using static warehouse features continuously"", ""Use GPS-drifted path prediction during full 30-second communication blackout"", ""Follow grid pattern using preloaded GNSS coordinates without updates"", ""Depend on magnetometer heading under steel racks causing magnetic interference"", ""Navigate by wind-relative attitude to compensate for southeast breeze indoors""]","IMU-visual SLAM provides robust relative navigation during GNSS denial by fusing inertial and camera data, mitigating drift. It adapts to indoor constraints and maintains mapping accuracy despite jamming. Other options fail due to reliance on degraded or environmentally compromised signals." 2025-11-01T18:06:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_vtol_mapping_462c9b9b0d34_mcq.json,uavbench-mcq-v1,warehouse_indoor_vtol_mapping,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 3m altitude with 3.2 m/s gusts and no GNSS, which sensor fusion strategy ensures stable indoor navigation?","Indoor warehouse mapping mission using a VTOL tiltrotor UAV equipped with LiDAR and RGB camera. Flight occurs entirely indoors with no GNSS availability, relying on onboard sensors for navigation. The warehouse airspace is bounded by a 40x30 meter polygon with altitude limits from 0.5 to 12 meters AGL. A static no-fly zone is centered at (20,15) with a 3-meter radius, and a dynamic no-fly zone moves slowly across the space. Wind gusts up to 3.2 m/s create moderate indoor air disturbances despite otherwise good visibility. The UAV follows a grid pattern at 3 meters altitude, transitioning to 5 meters for the final waypoint. A single traffic UAV and a moving spherical obstacle challenge real-time collision avoidance. Communication experiences brief downlink outages between 120–130 and 450–465 simulation seconds. Battery reserve is set to 30%, and mission success must be achieved within a 600-second time budget. Separation monitoring is active with a 3-meter threshold and 5-second time-to-closest-approach alerting.",Use only LiDAR SLAM for drift-free positioning,Rely on IMU integration during communication outages,Fuse LiDAR and RGB with IMU for visual-inertial odometry,Trust GPS when signal briefly recovers indoors,Depend on magnetometer for heading in metal-rich zones,Use dead reckoning with initial LiDAR alignment,Prioritize camera-only tracking in low-texture areas,"[""Use only LiDAR SLAM for drift-free positioning"", ""Rely on IMU integration during communication outages"", ""Fuse LiDAR and RGB with IMU for visual-inertial odometry"", ""Trust GPS when signal briefly recovers indoors"", ""Depend on magnetometer for heading in metal-rich zones"", ""Use dead reckoning with initial LiDAR alignment"", ""Prioritize camera-only tracking in low-texture areas""]","Fusing LiDAR, RGB, and IMU enables robust state estimation by compensating for individual sensor weaknesses: LiDAR provides geometric accuracy, vision adds texture-based tracking, and IMU bridges gaps during motion blur or feature loss. This integration counters wind-induced perturbations and occlusions in texture-poor warehouse environments. Other strategies fail due to GNSS denial, magnetometer interference, or insufficient redundancy under dynamic conditions." 2025-11-01T18:06:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_vtol_survey_00ee8d8bd6b1_mcq.json,uavbench-mcq-v1,warehouse_indoor_vtol_survey,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"How should the UAV respond to GNSS signal loss at (90, 70) while drifting toward a moving obstacle at 2 m/s south?","This is an indoor VTOL UAV survey mission conducted in a desert warehouse environment. The UAV is a tiltrotor VTOL type equipped with RGB camera and LiDAR payload for data collection. It operates within a 200m x 150m polygonal airspace bounded between 0 and 120m AGL. A cylindrical no-fly zone of 20m radius and 60m height is centered at (100, 75) to avoid obstacles. The mission follows a grid survey pattern with waypoints at 10m altitude, including a loiter point near the center. Wind is from the west at 5 m/s with moderate gusts, though indoor effects may reduce impact. The UAV must maintain separation from a moving spherical obstacle drifting south at 2 m/s. Runway takeoff and landing are required, with preferred landing at (10, 10) and emergency backup at (190, 140). GNSS signals may suffer multipath interference due to warehouse structures. The mission must be completed within 600 seconds while avoiding geofence breaches and maintaining safe separation.",Trust last known GNSS fix and continue survey,Switch to lidar-inertial SLAM with encrypted telemetry,Descend immediately to 5m AGL for safety,Transmit unencrypted position updates every 5s,Hover using GPS-only control until signal returns,Accept all RC commands without authentication,Disable intrusion detection to reduce latency,"[""Trust last known GNSS fix and continue survey"", ""Switch to lidar-inertial SLAM with encrypted telemetry"", ""Descend immediately to 5m AGL for safety"", ""Transmit unencrypted position updates every 5s"", ""Hover using GPS-only control until signal returns"", ""Accept all RC commands without authentication"", ""Disable intrusion detection to reduce latency""]","B maintains navigation integrity using sensor fusion when GNSS is unreliable, ensuring obstacle avoidance. Encrypted telemetry preserves data confidentiality and prevents command injection. This option ensures control stability and cyber-physical resilience during signal degradation." 2025-11-01T18:06:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_inspection_foggy_2db038efbbb6_mcq.json,uavbench-mcq-v1,warehouse_inspection_foggy,minimax/minimax-m1,1,Aerodynamics & Physics Reasoning,7,?,G,False,"At 2 m/s diagonal wind and 8 meters altitude, which maneuver minimizes drift while maintaining lift in confined space?","This is an indoor warehouse inspection mission using a convertiplane UAV equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors. The flight occurs in a confined 30x25 meter space with a maximum altitude of 8 meters AGL and a central no-fly cylinder around a critical structure. Poor visibility due to fog impacts optical sensing and increases reliance on LiDAR and GNSS, though indoor GNSS may suffer from multipath effects. The UAV must follow a corridor inspection pattern across five waypoints while avoiding a moving spherical obstacle drifting horizontally. A second UAV is present, requiring a minimum separation of 5 meters to prevent collisions. The mission demands precise navigation near structures, with strict geofencing and altitude constraints between 0.5 and 8 meters. Takeoff and landing require runway-style maneuvers despite the indoor setting, with designated preferred and emergency landing zones. Wind is light but present, with a 2 m/s diagonal flow and minor gusts affecting stability. Battery endurance is critical, with a 30% reserve required and a 10-minute time budget to complete all tasks. Communication links remain stable throughout the mission, supporting continuous control and data downlink.",Increase pitch to 15° and reduce throttle by 20%,Bank 30° into wind with 10% thrust increase,Fly downwind at 1.2x stall speed with zero bank,Hold level flight at minimum sink airspeed,Descend at 5° with full lateral cyclic input,Hover with maximum collective pitch,Maintain 1.3x stall speed with crab angle alignment,"[""Increase pitch to 15° and reduce throttle by 20%"", ""Bank 30° into wind with 10% thrust increase"", ""Fly downwind at 1.2x stall speed with zero bank"", ""Hold level flight at minimum sink airspeed"", ""Descend at 5° with full lateral cyclic input"", ""Hover with maximum collective pitch"", ""Maintain 1.3x stall speed with crab angle alignment""]",Crabbing into the wind with 1.3x stall speed balances aerodynamic lift and drag while countering drift without inducing sideslip. Hovering or excessive bank increases induced drag and risks instability in confined space. Maintaining optimal airspeed ensures control margin above stall under gust effects. 2025-11-01T18:06:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_inspection_octocopter_low_visibility_457349da7765_mcq.json,uavbench-mcq-v1,warehouse_inspection_octocopter_low_visibility,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,D,False,"At 250s, icing reduces thrust; wind is 210° at 6 m/s. Battery at 38%, GNSS degraded. How to maintain 8m AGL inspection?","This is a warehouse inspection mission using an octocopter UAV in a rural airspace. The UAV operates within a defined rectangular geofenced area with a maximum altitude of 25 meters AGL. Weather conditions include poor visibility and icing, with moderate wind from 210 degrees and intermittent gusts. The octocopter is equipped with RGB camera, LiDAR, and standard navigation sensors, powered by a 450 Wh battery. A static no-fly zone is present near the center of the area, and a dynamic no-fly zone slowly moves through the southern section. The UAV must maintain separation from a moving obstacle and an intruder UAV traveling westward at 6 m/s. GNSS signals are degraded due to multipath and mild jamming, and electromagnetic interference is present. The mission follows a corridor inspection pattern at 8 meters altitude, with a 10-minute time budget. An icing fault is simulated at 250 seconds, reducing performance for one minute. Communication experiences brief uplink/downlink outages, and the UAV must return safely despite battery reserve and navigation challenges.",Climb to 15m for better GNSS signal and wind clearance,Descend to 5m to reduce icing exposure and power use,"Hold altitude, increase throttle to counteract thrust loss","Reduce speed 30%, adjust attitude to stabilize flight","Abort mission, direct return at maximum safe descent","Shift east, detour around dynamic no-fly zone early",Maintain current settings; rely on LiDAR for positioning,"[""Climb to 15m for better GNSS signal and wind clearance"", ""Descend to 5m to reduce icing exposure and power use"", ""Hold altitude, increase throttle to counteract thrust loss"", ""Reduce speed 30%, adjust attitude to stabilize flight"", ""Abort mission, direct return at maximum safe descent"", ""Shift east, detour around dynamic no-fly zone early"", ""Maintain current settings; rely on LiDAR for positioning""]","Reducing speed conserves energy and improves control authority during thrust degradation from icing. It allows better navigation accuracy under GNSS denial using LiDAR and maintains safe separation. This balances aerodynamic performance, energy reserve, and mission continuity within the 10-minute window." 2025-11-01T18:06:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_loiter_convertiplane_7003098adb35_mcq.json,uavbench-mcq-v1,warehouse_indoor_loiter_convertiplane,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,D,False,"Two UAVs loiter around 4 waypoints in a 50m x 40m warehouse with 15m altitude cap, avoiding a moving obstacle. How should they coordinate orbits?","This scenario involves an indoor warehouse inspection mission using a convertiplane UAV. The flight occurs entirely indoors within a confined 50m x 40m polygon airspace, with altitude restricted between 0.5m and 15m AGL. Weather includes light wind from the east, gusts, poor visibility, and airborne dust, though conditions are stable. The UAV is a hybrid convertiplane with vertical takeoff and fixed-wing efficiency, equipped with RGB camera, LIDAR, GNSS, IMU, and other standard sensors. Payload includes a 1.2kg inspection sensor suite with moderate drag. A central no-fly cylinder blocks a hazardous zone, and geofencing enforces strict boundary compliance. GNSS signals suffer from multipath and mild jamming, compounded by electromagnetic interference, challenging navigation reliability. The UAV must loiter in orbit patterns around four waypoints while avoiding a moving spherical obstacle and another UAV. Communication experiences intermittent downlink outages, requiring autonomous operation during signal loss. Mission success depends on completing the route within time and battery limits while maintaining separation and avoiding breaches.",Alternate orbits every 90 seconds to minimize proximity,Fly identical orbits with 5m lateral separation,Share real-time LIDAR via 10 Mbps link during loiter,"One loiters at 12m, other at 8m to ensure vertical spacing",Synchronize orbits to reach waypoints simultaneously,Operate in opposite directions to reduce collision risk,Use GNSS timestamps to desynchronize arrival by 15s,"[""Alternate orbits every 90 seconds to minimize proximity"", ""Fly identical orbits with 5m lateral separation"", ""Share real-time LIDAR via 10 Mbps link during loiter"", ""One loiters at 12m, other at 8m to ensure vertical spacing"", ""Synchronize orbits to reach waypoints simultaneously"", ""Operate in opposite directions to reduce collision risk"", ""Use GNSS timestamps to desynchronize arrival by 15s""]","Vertical separation at 12m and 8m ensures collision avoidance within the 15m altitude cap while maintaining sensor coverage. This respects the confined airspace and avoids reliance on degraded GNSS. Other options risk conflict due to lateral proximity, synchronization failure, or communication dependency during intermittent outages." 2025-11-01T18:06:16Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_medical_delivery_swarm_641b5abad136_mcq.json,uavbench-mcq-v1,warehouse_medical_delivery_swarm,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,G,False,"UAV swarm avoids moving obstacle west at 1.0 m/s, maintains 2.0 m separation, and clears NFZ (10,15), r=2m.","This is an indoor warehouse emergency medical delivery mission using a swarm of four UAVs. The airspace is confined to a 20x30 meter indoor space with a strict altitude range of 0.5 to 5.0 meters AGL. A cylindrical no-fly zone is centered at (10,15) with a 2-meter radius, restricting flight paths. The UAVs are battery-powered octocopters equipped with GNSS, IMU, lidar, RGB camera, and a 0.8 kg medical payload. Despite being indoors, wind is modeled at 6 m/s from the south with gusts and a microburst risk, increasing environmental complexity. The swarm must navigate a corridor pattern from spawn to the preferred landing site while maintaining 2.0 meters minimum separation between drones. A moving spherical obstacle travels westward at 1.0 m/s, requiring real-time avoidance. GNSS jamming and comms loss are simulated between 120–150 seconds, challenging navigation and control. Collision avoidance is enforced with a 3.0 meter separation threshold and 5.0 second time-to-closest-approach limit. Mission success hinges on timely delivery within 600 seconds despite sensor faults, obstacles, and constrained maneuvering space.","Fly direct at 1.0 m altitude, ignore obstacle drift",Descend to 0.4 m AGL to bypass obstacle low,"Reroute north, hold 3.5 m AGL, delay 8s",Ascend to 5.2 m AGL for obstacle overflight,Cut through NFZ center to save 12s transit,"Match obstacle west speed, trail at 1.5 m","Bank eastward detour, cruise 4.0 m AGL, +6s delay","[""Fly direct at 1.0 m altitude, ignore obstacle drift"", ""Descend to 0.4 m AGL to bypass obstacle low"", ""Reroute north, hold 3.5 m AGL, delay 8s"", ""Ascend to 5.2 m AGL for obstacle overflight"", ""Cut through NFZ center to save 12s transit"", ""Match obstacle west speed, trail at 1.5 m"", ""Bank eastward detour, cruise 4.0 m AGL, +6s delay""]","The eastward detour at 4.0 m AGL respects the NFZ boundary, maintains vertical clearance within 0.5–5.0 m AGL, and ensures 3.0 m collision separation. It balances time-to-go and obstacle dynamics without violating communication or altitude constraints during jamming onset." 2025-11-01T18:06:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_thermal_updraft_swarm_helicopter_b22b66c73d7c_mcq.json,uavbench-mcq-v1,warehouse_thermal_updraft_swarm_helicopter,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,?,E,False,"Which route safely inspects near (12,18) avoiding the moving obstacle, NFZs, and maintains 3m separation within 600s?","This is an indoor warehouse inspection mission using a swarm of four battery-powered helicopter UAVs. The airspace is confined to a 40x30-meter polygon with a maximum altitude of 10 meters AGL and a minimum safe height of 0.5 meters. Weather includes a 3 m/s wind from 90 degrees and gusts up to 2 m/s, along with thermal updrafts creating localized vertical air currents. The UAVs are equipped with GNSS, IMU, lidar, RGB cameras, and basic navigation sensors but no thermal imaging. Key constraints include a static no-fly zone near (10,10) and a moving no-fly zone near (20,15) that drifts slowly. GNSS signals suffer from multipath effects and moderate jamming at -85 dBm, compounded by electromagnetic interference. The swarm must maintain at least 3 meters separation between drones and avoid colliding with a moving spherical obstacle near (12,18). Communication experiences brief downlink outages between steps 100–110 and 450–470, with minimum RSSI at -92 dBm. The mission requires completing a corridor inspection pattern within 600 seconds while avoiding obstacles and maintaining system integrity.","Fly direct at 5m AGL, adjust heading every 10s","Circle (12,18) at 2m radius, altitude 8m","Approach from north at 6m AGL, loiter 20s",Descend to 0.4m AGL to pass under thermal updraft,"Reroute eastward at 7m AGL, 5m from (12,18)",Climb to 11m AGL for better GNSS signal,"Hover at (11,17) for 30s during downlink outage","[""Fly direct at 5m AGL, adjust heading every 10s"", ""Circle (12,18) at 2m radius, altitude 8m"", ""Approach from north at 6m AGL, loiter 20s"", ""Descend to 0.4m AGL to pass under thermal updraft"", ""Reroute eastward at 7m AGL, 5m from (12,18)"", ""Climb to 11m AGL for better GNSS signal"", ""Hover at (11,17) for 30s during downlink outage""]","E avoids the moving obstacle with safe lateral margin and stays within altitude limits. It accounts for GNSS drift and wind from 90° while preserving separation. Other options breach AGL minima, exceed max altitude, cut NFZs, or prolong exposure during comms outages." 2025-11-01T18:06:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_touch_and_go_heavy_lift_6a30ea7982b1_mcq.json,uavbench-mcq-v1,warehouse_touch_and_go_heavy_lift,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,G,False,"Octocopter with 5 kg payload, 30% battery reserve, and light wind at 120° must complete touch-and-go in 600 s under 20 m AGL.","This is an indoor warehouse mission involving a heavy-lift octocopter performing a touch-and-go pattern without requiring a runway. The UAV operates within a confined polygonal airspace bounded from 0.5 to 20 meters AGL, featuring a central cylindrical no-fly zone. It is equipped with GNSS, IMU, lidar, RGB camera, and other standard sensors, carrying a 5 kg payload. Weather conditions include light wind from 120°, gusts up to 2 m/s, and poor visibility due to dust, which may affect sensor performance. The UAV follows a predefined corridor-style waypoint route, starting and ending at the spawn point near one corner of the warehouse. A moving spherical obstacle drifts slowly along the centerline of the warehouse, requiring dynamic avoidance. The mission must be completed within 600 seconds, with strict separation and DAA thresholds to avoid collisions. Battery reserves are set at 30%, and the UAV must maintain safe altitude and geofence compliance throughout. Communication links are stable with no expected uplink or downlink loss. The scenario emphasizes precision navigation in a cluttered, low-visibility indoor environment with obstacle avoidance and energy management constraints.",Climb to 20 m for better GNSS lock,Fly direct route at 1 m/s to save power,Descend to 0.6 m AGL near spawn point,Increase speed to 8 m/s to finish early,Reroute laterally to avoid dust clouds,Hover 30 s to stabilize sensors before proceed,"Track central path at 15 m AGL, 4 m/s","[""Climb to 20 m for better GNSS lock"", ""Fly direct route at 1 m/s to save power"", ""Descend to 0.6 m AGL near spawn point"", ""Increase speed to 8 m/s to finish early"", ""Reroute laterally to avoid dust clouds"", ""Hover 30 s to stabilize sensors before proceed"", ""Track central path at 15 m AGL, 4 m/s""]","Flying at 15 m AGL balances safety margin, geofence compliance, and lidar performance under dust. At 4 m/s, it manages energy use while allowing sufficient DAA reaction time against the drifting obstacle. This choice maintains coordination, stability, and adherence to all operational constraints." 2025-11-01T18:06:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/wind_turbine_blade_inspection_bridge_site_b0fe74a4c378_mcq.json,uavbench-mcq-v1,wind_turbine_blade_inspection_bridge_site,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,B,False,"How should the UAV adapt navigation near the bridge with GNSS multipath, 8.5 m/s winds, and a drifting sphere at 2 m/s?","This mission involves inspecting wind turbine blades at a bridge site using an octocopter UAV equipped with RGB and thermal cameras. The airspace is confined to a 120m × 100m polygon with a cylindrical no-fly zone near the center restricting flight between 10–60m altitude. Winds are moderate at 8.5 m/s from 240° with gusts up to 4.5 m/s, and there is a risk of lightning. The UAV has a battery capacity of 1800 Wh and carries a 1.2 kg payload, limiting its endurance and requiring efficient route planning. It must maintain visual line of sight and avoid both static and moving obstacles, including a sphere drifting westward at 2 m/s. Traffic includes another UAV entering from the east, requiring separation monitoring with a 25-meter threshold. GNSS signals may suffer multipath effects near the bridge structure, affecting positioning accuracy. The flight must be completed within 600 seconds, starting from a designated spawn point and returning to a preferred landing site. Key constraints include battery reserve requirements, geofence compliance, and maintaining safe separation from obstacles and other traffic.",Rely solely on GNSS for precision near the bridge,Switch to IMU-visual fusion when GNSS degrades,Descend into the cylindrical no-fly zone to avoid wind,Disable thermal imaging to save battery for navigation,Follow the other UAV closely to share sensor data,Use LiDAR exclusively for obstacle detection in rain,Maintain heading into wind without adjusting for drift,"[""Rely solely on GNSS for precision near the bridge"", ""Switch to IMU-visual fusion when GNSS degrades"", ""Descend into the cylindrical no-fly zone to avoid wind"", ""Disable thermal imaging to save battery for navigation"", ""Follow the other UAV closely to share sensor data"", ""Use LiDAR exclusively for obstacle detection in rain"", ""Maintain heading into wind without adjusting for drift""]","GNSS multipath near the bridge degrades positioning, requiring fusion of visual odometry and IMU to maintain accuracy. IMU-visual fusion provides high-rate, drift-resistant state estimation during GNSS outages. This approach respects geofence, avoids dynamic obstacles, and compensates for wind-induced motion with reliable perception." 2025-11-01T18:06:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/wind_turbine_blade_inspection_underground_mine_da5cc6687db3_mcq.json,uavbench-mcq-v1,wind_turbine_blade_inspection_underground_mine,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,?,B,False,Inspecting turbine blades at 15 m AGL in a GNSS-denied mine with 30% battery reserve and communication outages.,"This mission involves inspecting wind turbine blades within an underground mine using a VTOL tiltrotor UAV. The confined airspace is limited to 15 meters AGL and bounded by a polygonal geofence. Visibility is poor due to rain, and there is no wind inside the mine. The UAV is equipped with RGB camera and LIDAR for navigation and inspection, relying on inertial and barometric sensors due to the absence of GNSS. Significant GNSS multipath and electromagnetic interference are present, requiring sensor fusion and robust localization. A no-fly zone is defined as a cylinder near the center of the area. The UAV must follow a corridor inspection pattern with specific waypoints and return to a designated runway-like takeoff and landing zone. Communication links are unreliable, with planned uplink and downlink outages during the mission. The UAV has a battery reserve requirement of 30% and must complete the mission within 600 seconds. Success depends on maintaining separation from obstacles, avoiding geofence breaches, and completing the inspection despite sensor and communication challenges.",Climb to 20 m AGL for better sensor clearance,"Proceed at 12 m AGL, follow corridor, return at 600 s",Hover for 60 s to stabilize localization after outage,Fly directly through central no-fly cylinder to save time,Descend to 5 m AGL for higher-resolution imaging,Delay mission until GNSS signal improves,Land immediately after first communication loss,"[""Climb to 20 m AGL for better sensor clearance"", ""Proceed at 12 m AGL, follow corridor, return at 600 s"", ""Hover for 60 s to stabilize localization after outage"", ""Fly directly through central no-fly cylinder to save time"", ""Descend to 5 m AGL for higher-resolution imaging"", ""Delay mission until GNSS signal improves"", ""Land immediately after first communication loss""]","The UAV must remain below 15 m AGL and within geofence, avoid the no-fly cylinder, and complete the mission in 600 s. Option B adheres to altitude, pattern, and endurance constraints. All others violate altitude, separation, mission timing, or operational policy." 2025-11-01T18:06:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/wind_turbine_blade_inspection_warehouse_fb41bab8b23e_mcq.json,uavbench-mcq-v1,wind_turbine_blade_inspection_warehouse,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,C,False,"What flight profile maximizes inspection quality within 600 seconds, 30% battery reserve, and 2.5 m obstacle clearance in 20x15 m indoor space?","This mission involves inspecting wind turbine blades inside an indoor warehouse using a VTOL tiltrotor UAV. The flight occurs in a confined rectangular airspace measuring 20x15 meters with a height limit of 6 meters AGL. Weather conditions are stable with light wind at 1.2 m/s and good visibility, typical of an indoor environment. The UAV is equipped with RGB and thermal cameras for detailed blade inspection, along with LiDAR and GNSS for navigation. A cylindrical no-fly zone blocks access to the center of the space, requiring careful path planning. The UAV must maintain a minimum separation of 2.5 meters from obstacles and avoid geofence breaches. Flight is constrained by a 600-second time budget and battery capacity, with 30% reserve required. The UAV transitions between hover and forward flight using a 4-second tilt profile. Primary risks include GNSS multipath from warehouse structures and proximity to static obstacles. The mission ends with a planned landing at a designated site in the far corner of the warehouse.","Hover at 1.0 m AGL, orbit blades at 0.8 m/s with 2.0 m separation","Fly forward at 5.0 m/s, 3.0 m AGL, tilting rotors every 10 seconds","Maintain 2.5 m/s forward at 4.0 m AGL, 3.5 m from cylinder NFZ","Alternate hover and forward every 20 s, 2.4 m from obstacles","Fly constant hover mode at 2.0 m AGL, 1.5 m from blade tips","Cruise at 4.5 m/s, 2.0 m AGL, 2.6 m from cylinder edge","Transition every 30 s, 3.0 m AGL, 4.0 m lateral from NFZ","[""Hover at 1.0 m AGL, orbit blades at 0.8 m/s with 2.0 m separation"", ""Fly forward at 5.0 m/s, 3.0 m AGL, tilting rotors every 10 seconds"", ""Maintain 2.5 m/s forward at 4.0 m AGL, 3.5 m from cylinder NFZ"", ""Alternate hover and forward every 20 s, 2.4 m from obstacles"", ""Fly constant hover mode at 2.0 m AGL, 1.5 m from blade tips"", ""Cruise at 4.5 m/s, 2.0 m AGL, 2.6 m from cylinder edge"", ""Transition every 30 s, 3.0 m AGL, 4.0 m lateral from NFZ""]","C balances energy efficiency with forward flight at safe 2.5 m/s and 4.0 m AGL, ensuring LiDAR/GNSS reliability and 3.5 m clearance beyond 2.5 m minimum. It avoids excessive tilt transitions, sustains battery reserve, and maintains stable aerodynamics while complying with geofence and obstacle rules." 2025-11-01T18:06:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_swarm_powerline_inspection_4c978fffe746_mcq.json,uavbench-mcq-v1,warehouse_indoor_swarm_powerline_inspection,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,B,False,"During 30-second GNSS jamming at -75 dBm and lightning strike, how should the swarm maintain position and avoid collisions with 5m separation?","Swarm of four inspection drones conducts powerline corridor monitoring in an outdoor industrial environment. Mission occurs within a defined polygon airspace with altitude limits between 3 and 25 meters AGL. Weather includes moderate wind at 6 m/s from the west, gusts up to 4 m/s, and a risk of lightning. UAVs are quadrotor swarm drones equipped with RGB cameras, LiDAR, GNSS, IMU, and other standard sensors. Payload includes lightweight inspection equipment with minimal drag. No-fly zones include a static cylinder near the center and a moving exclusion zone drifting southwest. Dynamic obstacles include a drifting spherical object and another UAV entering the airspace. GNSS performance is degraded due to multipath, jamming at -75 dBm, and a simulated 30-second jamming fault. Swarm must maintain minimum 5-meter inter-drone separation and avoid breaching DAA thresholds of 10 meters or 5 seconds TTC. Lightning strike event at 300 seconds poses a high-severity fault, requiring robust fault tolerance during inspection.",Rely solely on GNSS and increase broadcast rate to counter jamming,Switch to IMU-LiDAR dead reckoning with authenticated peer-relative updates,Halt all motion until GNSS signal recovers after jamming ends,Use unencrypted Wi-Fi mesh to share real-time position fixes,Ascend to 30m AGL for better satellite visibility and signal lock,Disable DAA thresholds to allow tighter formation during faults,Accept spoofed GNSS signals if they appear consistent with IMU data,"[""Rely solely on GNSS and increase broadcast rate to counter jamming"", ""Switch to IMU-LiDAR dead reckoning with authenticated peer-relative updates"", ""Halt all motion until GNSS signal recovers after jamming ends"", ""Use unencrypted Wi-Fi mesh to share real-time position fixes"", ""Ascend to 30m AGL for better satellite visibility and signal lock"", ""Disable DAA thresholds to allow tighter formation during faults"", ""Accept spoofed GNSS signals if they appear consistent with IMU data""]","B ensures resilience by fusing onboard inertial and LiDAR data, avoiding reliance on compromised GNSS. Authenticated peer-relative updates preserve data integrity and maintain separation without exposing telemetry. This layered approach sustains control stability and cyber-physical safety during jamming and environmental faults." 2025-11-01T18:06:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_swarm_snowfall_56c4e303df62_mcq.json,uavbench-mcq-v1,warehouse_indoor_swarm_snowfall,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"With 90 seconds left, one drone detects low battery (12%) and a moving obstacle drifts within 2m of its path.","This is an indoor warehouse inspection mission using a swarm of four small battery-powered drones equipped with lidar, RGB cameras, IMU, magnetometer, and barometer, but without GNSS. The drones operate in a confined 20m x 15m space with a ceiling height of 5m, navigating around static and dynamic no-fly zones, including a central static cylinder and a moving forbidden zone. A spherical moving obstacle drifts through the area, requiring real-time collision avoidance. The swarm must complete a corridor-style inspection pattern while maintaining a minimum 1-meter separation between UAVs and avoiding breaches of airspace boundaries. Despite being indoors, weather effects like snowfall and poor visibility are simulated, with wind and gusts impacting flight stability. The drones use sensor fusion for localization due to the lack of GNSS, relying heavily on lidar and inertial navigation. Communication links are stable with good RSSI, enabling coordinated control via discrete movement commands. The mission must be completed within 600 seconds, with a designated preferred landing site and an emergency backup. Key constraints include battery reserve limits, dynamic obstacle avoidance, strict separation thresholds, and maintaining safe distances from both static and moving no-fly zones.",Continue inspection; risk collision to preserve mission integrity.,Abort mission immediately; return to landing site via safest route.,"Hover in place until obstacle clears, even if battery drops below 5%.","Increase speed to complete task, accepting 0.8m separation from obstacle.","Land immediately at nearest spot, disregarding designated landing zones.",Transfer tasks to other drones and descend with controlled glide.,Request override to extend mission time beyond 600-second limit.,"[""Continue inspection; risk collision to preserve mission integrity."", ""Abort mission immediately; return to landing site via safest route."", ""Hover in place until obstacle clears, even if battery drops below 5%."", ""Increase speed to complete task, accepting 0.8m separation from obstacle."", ""Land immediately at nearest spot, disregarding designated landing zones."", ""Transfer tasks to other drones and descend with controlled glide."", ""Request override to extend mission time beyond 600-second limit.""]",Safety and ethical priority demand aborting when battery is critically low and collision risk is high. Continuing risks uncontrolled descent or swarm disruption. B ensures safe return within energy margins while preserving human and asset safety. 2025-11-01T18:06:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_helicopter_icing_9c4ae47c348a_mcq.json,uavbench-mcq-v1,warehouse_indoor_helicopter_icing,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,?,C,False,"At 230s, icing degrades sensors; visibility drops to 30m. Which action maintains navigation integrity inside the geofence?","This is an indoor inspection mission using a single battery-powered helicopter UAV equipped with lidar, RGB camera, GNSS, and other standard sensors. The flight occurs inside a confined volcanic zone warehouse with a maximum altitude of 15 meters AGL and a defined polygonal geofence. Weather includes poor visibility and icing conditions, with a simulated icing event occurring between 200 and 260 seconds into the mission. Wind is from the west at 5 m/s with gusts up to 3 m/s, and the environment features GNSS multipath and electromagnetic interference. A static no-fly zone and a moving dynamic no-fly zone restrict flight paths, requiring careful navigation. Another UAV is present in the airspace, moving northward, necessitating separation monitoring with a 5-meter threshold. The mission follows a corridor pattern through four waypoints, with a time budget of 600 seconds and a required return to a preferred landing site. Communication experiences brief uplink/downlink outages between 150–155 and 400–410 seconds. Key constraints include battery reserve requirements, sensor degradation risks from icing and interference, and avoidance of both static and moving obstacles.",Rely solely on GNSS due to prior signal accuracy,Switch to lidar-only mode ignoring wind drift,Increase reliance on IMU and visual odometry fusion,Descend immediately despite mid-mission waypoint,Hold position using GPS and barometric altitude,Accelerate to complete corridor before icing worsens,Use GNSS and lidar fusion despite multipath noise,"[""Rely solely on GNSS due to prior signal accuracy"", ""Switch to lidar-only mode ignoring wind drift"", ""Increase reliance on IMU and visual odometry fusion"", ""Descend immediately despite mid-mission waypoint"", ""Hold position using GPS and barometric altitude"", ""Accelerate to complete corridor before icing worsens"", ""Use GNSS and lidar fusion despite multipath noise""]","GNSS suffers multipath and interference, while icing degrades lidar and GPS. IMU-visual fusion provides resilient relative navigation during poor visibility and sensor degradation. This maintains geofence compliance and avoids drift beyond 5m separation thresholds." 2025-11-01T18:06:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_snow_survey_75957c8a1649_mcq.json,uavbench-mcq-v1,warehouse_snow_survey,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,?,E,False,"At 180s, UAV must avoid a moving spherical obstacle while maintaining 15m AGL and navigating GNSS outages; what action preserves coordination with the second UAV and mission timeline?","The mission is a survey operation inside a warehouse using a high-altitude pseudo-satellite UAV equipped with an RGB camera. The flight occurs in poor visibility due to indoor snowfall, with moderate winds increasing slightly with altitude and gusting from the west. The UAV operates within a confined airspace bounded by a polygonal geofence, with a maximum altitude of 15 meters AGL. A static no-fly zone blocks the central area, and a dynamic no-fly zone moves slowly through the environment. Additional hazards include GNSS multipath, electromagnetic interference, and brief communication uplink outages. The UAV must avoid a moving spherical obstacle and maintain safe separation from another UAV on a fixed path. Thermal updrafts near the center provide localized lift, but an icing event at 200 seconds degrades performance for one minute. Battery endurance is critical, with reserve power set at 30% and high hover power draw. The mission requires completing a grid pattern over five waypoints within 600 seconds while navigating constraints and preserving safety margins.",Climb to 18m to gain clearance over the obstacle,Hover for 20s until the obstacle passes eastward,Descend to 12m and adjust grid path westward,Accelerate ahead to complete next waypoint early,Sync with second UAV to share sensor data during outage,Enter no-fly zone briefly to shortcut around obstacle,Delay task until thermal updraft assists maneuver,"[""Climb to 18m to gain clearance over the obstacle"", ""Hover for 20s until the obstacle passes eastward"", ""Descend to 12m and adjust grid path westward"", ""Accelerate ahead to complete next waypoint early"", ""Sync with second UAV to share sensor data during outage"", ""Enter no-fly zone briefly to shortcut around obstacle"", ""Delay task until thermal updraft assists maneuver""]","During GNSS outages, inter-agent sensor sharing maintains situational awareness and avoids coordination breakdown. Synchronizing data compensates for reduced visibility and communication gaps while preserving formation integrity. Other options violate altitude limits, no-fly zones, or timetable constraints, risking collision or degrading swarm efficiency." 2025-11-01T18:06:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_vtol_mission_3bfac70a00f3_mcq.json,uavbench-mcq-v1,warehouse_indoor_vtol_mission,minimax/minimax-m1,9,Comparative System Reasoning,7,?,C,False,"Which UAV configuration best balances 1500 Wh energy, 12.5 kg mass, and 1.5 kg payload for 600-second forested warehouse inspection with 25m separation?","This is an indoor VTOL UAV inspection mission in a forested warehouse environment. The aircraft operates within a defined 200x150 meter geofenced area, with altitude limits from ground level to 120 meters AGL. Winds are moderate at 6.5 m/s from the south, with gusts up to 3.2 m/s and a risk of microbursts. The UAV is a tiltrotor VTOL with a 12.5 kg mass, 1500 Wh battery, and carries a 1.5 kg RGB camera payload. A cylindrical no-fly zone is centered at (100,75) with a 20-meter radius and 40-meter ceiling. The mission follows a grid pattern inspection route with five waypoints at 10 meters altitude and requires runway access for takeoff and landing. Separation from other traffic is monitored with a 25-meter threshold, and GNSS spoofing is expected between 400–460 seconds. Communication dropouts occur briefly at 350 and 520 seconds, with acceptable signal strength. The UAV must manage energy use carefully, avoid dynamic obstacles, and maintain safe separation throughout the 600-second mission.",Fixed-wing with taildragger; no obstacle sensing,Quadcopter with 1800 Wh battery; 14.2 kg dry mass,Tiltrotor with dual GNSS; 1100 Wh remaining post-mission,Coaxial helicopter; 2000 Wh battery; 16 kg total mass,Hybrid diesel-electric; 13.8 kg; no runway required,Octocopter with lidar; 1600 Wh; 18 kg MTOW,Single-rotor UAV; 10.5 kg; 400 Wh margin below safe threshold,"[""Fixed-wing with taildragger; no obstacle sensing"", ""Quadcopter with 1800 Wh battery; 14.2 kg dry mass"", ""Tiltrotor with dual GNSS; 1100 Wh remaining post-mission"", ""Coaxial helicopter; 2000 Wh battery; 16 kg total mass"", ""Hybrid diesel-electric; 13.8 kg; no runway required"", ""Octocopter with lidar; 1600 Wh; 18 kg MTOW"", ""Single-rotor UAV; 10.5 kg; 400 Wh margin below safe threshold""]","The tiltrotor leverages VTOL efficiency and grid-compatible hover capability, retains dual GNSS for spoofing resilience, and achieves optimal energy use with 1100 Wh remaining, ensuring safety margin. Other options exceed mass limits, lack obstacle awareness, require no runway (invalid per mission), or have excessive power draw. Only option C meets all operational constraints: energy, separation, GNSS resilience, and runway use." 2025-11-01T18:06:18Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_search_rescue_swarm_e44f65693e86_mcq.json,uavbench-mcq-v1,warehouse_search_rescue_swarm,minimax/minimax-m1,10,Hybrid Integrated Reasoning,7,?,B,False,"At 210 s, GNSS jamming begins. Which action maintains navigation, safety, and swarm coordination using available sensors and 3 m/s wind data?","Indoor search and rescue mission conducted by a swarm of four small quadcopters inside a 50x40 meter warehouse. The UAVs operate at altitudes between 0.5 and 8 meters AGL, navigating a predefined grid pattern to locate targets. Weather includes 3 m/s winds from the south, gusts up to 2 m/s, poor visibility, and intermittent hail. Each drone is equipped with RGB and thermal cameras, LiDAR, and standard navigation sensors including GNSS, though indoor GNSS signals may be degraded. A central no-fly cylindrical zone with a 5-meter radius restricts access around the coordinates (25, 20). The swarm maintains a minimum separation of 2 meters between UAVs, with distinct roles assigned: one leader, two scouts, and one relay node. A moving spherical obstacle drifts slowly at 0.5 m/s along the x-axis, requiring real-time avoidance. GNSS jamming occurs between 200–230 seconds and icing affects flight performance from 400–425 seconds. Communication experiences brief downlink losses at 150–160 and 320–335 seconds, with minimum RSSI of -85 dBm. Mission success depends on completing waypoints within 600 seconds while avoiding collisions, geofence breaches, and maintaining safe separation.",Descend to 0.5 m to reduce wind drift and use LiDAR for obstacle avoidance,"Switch to optical flow with RGB, hold 4 m altitude, and reduce speed by 30%",Climb to 8 m for better GNSS signal despite jamming and increase formation spacing,Hover using thermal to detect targets until GNSS returns at 230 s,Rely on relay node's last known GNSS fix and continue current velocity,Increase speed to 5 m/s to exit jamming zone quickly using dead reckoning,Land immediately to prevent drift and wait for signal recovery,"[""Descend to 0.5 m to reduce wind drift and use LiDAR for obstacle avoidance"", ""Switch to optical flow with RGB, hold 4 m altitude, and reduce speed by 30%"", ""Climb to 8 m for better GNSS signal despite jamming and increase formation spacing"", ""Hover using thermal to detect targets until GNSS returns at 230 s"", ""Rely on relay node's last known GNSS fix and continue current velocity"", ""Increase speed to 5 m/s to exit jamming zone quickly using dead reckoning"", ""Land immediately to prevent drift and wait for signal recovery""]","Switching to optical flow with RGB at 4 m balances aerodynamic stability in 3 m/s winds and avoids ground turbulence near 0.5 m. Reducing speed conserves energy and supports LiDAR/visual tracking during GNSS denial, preserving swarm separation and mission timeline. Other options either risk control, waste time, or violate navigation safety under jamming." 2025-11-01T18:06:19Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_indoor_hexacopter_inspection_c0a5791a9d41_mcq.json,uavbench-mcq-v1,warehouse_indoor_hexacopter_inspection,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,?,B,False,"At 7 min into the 10-min mission, battery drops to 32% with 1.2 km to cover; dust obscures the emergency landing site. What action is required?","This is an indoor inspection mission using a hexacopter UAV inside an underground mine. The flight occurs within a confined rectangular airspace bounded between 0.5 and 5.0 meters AGL. Visibility is poor due to dust haze, with light wind and gusts present. The UAV is equipped with LIDAR, RGB camera, IMU, barometer, and magnetometer, but lacks GNSS and operates without reliable uplink communication. Significant GNSS multipath and electromagnetic interference render satellite navigation unusable, requiring reliance on alternative sensors. A cylindrical no-fly zone is centrally located, restricting access around a hazardous area. The mission follows a corridor inspection pattern with four waypoints, to be completed within 10 minutes. Battery endurance is critical, with a 30% reserve required and downlink only available intermittently. The UAV must maintain separation from obstacles and avoid geofence or altitude violations. The flight starts and ideally ends at the spawn point, with an emergency landing site available at the opposite corner.","Continue mission, descend to 0.5 m to reduce wind resistance","Abort mission, reroute directly to spawn point",Increase speed to finish inspection before 30% threshold,Climb to 5.0 m for clearer LIDAR returns,Hover in place until downlink confirms safe path,Enter cylindrical no-fly zone to shorten route,Land immediately at nearest visible flat surface,"[""Continue mission, descend to 0.5 m to reduce wind resistance"", ""Abort mission, reroute directly to spawn point"", ""Increase speed to finish inspection before 30% threshold"", ""Climb to 5.0 m for clearer LIDAR returns"", ""Hover in place until downlink confirms safe path"", ""Enter cylindrical no-fly zone to shorten route"", ""Land immediately at nearest visible flat surface""]","Continuing risks battery depletion below 30% reserve, endangering controlled flight. B prioritizes safe return within energy limits while avoiding geofence and altitude violations. Other options increase collision risk, breach no-fly zones, or waste power, violating safety and operational integrity." 2025-11-01T18:06:20Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/warehouse_fog_firefighting_fixedwing_c987876a0d14_mcq.json,uavbench-mcq-v1,warehouse_fog_firefighting_fixedwing,minimax/minimax-m1,6,Cyber-Physical Security Reasoning,7,?,A,False,UAV detects GNSS spoofing in foggy warehouse. What action ensures mission continuity and control integrity within 100m x 80m airspace?,"Fixed-wing UAV conducts indoor firefighting mission inside a warehouse with poor visibility due to fog. The UAV operates within a confined airspace bounded by a 100m x 80m polygon and altitude limits from 1m to 15m AGL. Weather includes light wind from the south at 3.5 m/s with gusts up to 2.0 m/s, reducing visibility further. Equipped with RGB and thermal cameras, the UAV detects fire locations for precision payload drops. A cylindrical no-fly zone centered at (50, 40) with a 10m radius restricts flight path planning. The mission requires a runway takeoff and landing, with primary and emergency landing sites defined. UAV must complete a corridor-style waypoint route within a 600-second time budget. Battery capacity is 800 Wh, with a 30% reserve required for safe return. GNSS signals may suffer multipath interference due to indoor warehouse environment. Collision avoidance is critical, with separation thresholds of 10m and 5s time-to-closest approach.",Switch to vision-inertial navigation with encrypted sensor fusion,Continue GNSS-based routing with periodic position verification,Descend to 1m AGL and hover until GNSS signal stabilizes,Transmit unencrypted telemetry to ground station for manual override,Disable collision avoidance to reduce processing latency,Rely solely on thermal camera for waypoint tracking,Abort mission and return using last known GNSS coordinates,"[""Switch to vision-inertial navigation with encrypted sensor fusion"", ""Continue GNSS-based routing with periodic position verification"", ""Descend to 1m AGL and hover until GNSS signal stabilizes"", ""Transmit unencrypted telemetry to ground station for manual override"", ""Disable collision avoidance to reduce processing latency"", ""Rely solely on thermal camera for waypoint tracking"", ""Abort mission and return using last known GNSS coordinates""]",Switching to encrypted vision-inertial navigation preserves control integrity and counters GNSS spoofing. It maintains situational awareness despite fog and poor GNSS. This ensures resilient state estimation and secure operation within confined airspace. 2025-11-01T18:06:23Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Load_Delivery_in_Jungle_Fog_with_Solar_Wing_UAV_bac92ea98083_mcq.json,uavbench-mcq-v1,Heavy_Load_Delivery_in_Jungle_Fog_with_Solar_Wing_UAV,minimax/minimax-m1,4,Environmental & Sensor Fusion Reasoning,7,B,B,True,"At 320 s, icing reduces lift and GNSS suffers multipath in fog below 200 m with 9 m/s SW winds. Which action maintains trajectory and safety?","This is a heavy-load delivery mission in a dense jungle environment with persistent fog and icing conditions. The UAV is a solar wing type with a 12.5 kg dry mass and a 4.0 kg payload, powered by an 1800 Wh battery. It is equipped with GNSS, IMU, lidar, RGB camera, and other sensors but faces poor visibility and GNSS multipath interference. The mission operates between 30 m and 300 m AGL within a rectangular geofenced area of 2 km by 1.5 km. A static no-fly zone and a moving no-fly cylinder must be avoided, along with wind shear and thermal updrafts. The UAV must follow a corridor flight pattern across five waypoints and land at a designated site, requiring a runway approach. A traffic UAV and a moving spherical obstacle add collision risks, with DAA thresholds set at 50 m separation. An icing fault occurs at 320 seconds, reducing performance for one minute, while communication experiences a brief 15-second downlink loss. Wind increases with altitude, reaching 9 m/s at 200 m, and originates from the southwest, affecting trajectory planning. The mission must complete within 900 seconds while maintaining safety, battery reserve, and adherence to airspace constraints.",Rely solely on GNSS and increase speed to exit fog,Switch to IMU-lidar fusion and reduce airspeed,Descend to 30 m for better GNSS signal clarity,Use RGB optical flow exclusively for positioning,Maintain heading using magnetometer and full thrust,Ascend above 200 m to exploit stronger tailwinds,Hover until downlink and GNSS stabilize,"[""Rely solely on GNSS and increase speed to exit fog"", ""Switch to IMU-lidar fusion and reduce airspeed"", ""Descend to 30 m for better GNSS signal clarity"", ""Use RGB optical flow exclusively for positioning"", ""Maintain heading using magnetometer and full thrust"", ""Ascend above 200 m to exploit stronger tailwinds"", ""Hover until downlink and GNSS stabilize""]","IMU-lidar fusion compensates for GNSS multipath and fog-induced visual degradation, providing reliable state estimation. Reducing airspeed mitigates wind shear and icing-induced performance loss. This balances sensor redundancy, environmental hazards, and energy constraints while maintaining progress toward waypoints." 2025-11-01T18:06:40Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Emergency_Medical_Delivery_by_High-Altitude_Pseudo-Satellite_UAV_Near_Airport_8f845d1f9331_mcq.json,uavbench-mcq-v1,Emergency_Medical_Delivery_by_High-Altitude_Pseudo-Satellite_UAV_Near_Airport,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,C,E,False,"At 400 s, icing begins at 3,200 m AGL inside a 400 m radius NFZ near (3000,3000). What should the UAV do immediately?","This scenario involves an emergency medical delivery mission using a high-altitude pseudo-satellite UAV near an airport perimeter. The UAV operates within controlled airspace between 1,000 and 4,500 meters AGL, bounded by a polygonal geofence and a cylindrical no-fly zone centered at (3000, 3000) with a 400-meter radius. Weather conditions include strong winds up to 16.5 m/s at higher altitudes, shifting wind direction with altitude, and a risk of lightning. The UAV is battery-powered with a maximum speed of 35 m/s and carries a 5 kg medical payload equipped with RGB and thermal cameras, radar, and full sensor suite including GNSS and IMU. Operations face challenges from GNSS multipath effects, moderate jamming at -85 dBm, electromagnetic interference, and a 45-second comms loss window. The mission requires adherence to strict separation standards (150 m minimum) and includes encounters with another UAV and a moving spherical obstacle near a thermal updraft zone. Two faults are injected: a GNSS jamming event at 180 seconds and a mid-flight icing event at 400 seconds. The UAV must complete a five-waypoint corridor pattern within 600 seconds, returning to its starting point, with runway access required despite not performing a traditional landing. Flight performance is evaluated on mission success, battery reserve, collision avoidance, NFZ clearance, and resilience to environmental and system faults.","Descend to 2,800 m AGL and continue mission","Climb to 4,500 m AGL to avoid icing layer","Turn east to exit NFZ while climbing to 4,200 m",Reduce speed to 25 m/s and maintain altitude,"Divert immediately to runway at 1,000 m AGL","Hold position at 3,200 m until icing subsides",Accelerate to 35 m/s and exit NFZ westward,"[""Descend to 2,800 m AGL and continue mission"", ""Climb to 4,500 m AGL to avoid icing layer"", ""Turn east to exit NFZ while climbing to 4,200 m"", ""Reduce speed to 25 m/s and maintain altitude"", ""Divert immediately to runway at 1,000 m AGL"", ""Hold position at 3,200 m until icing subsides"", ""Accelerate to 35 m/s and exit NFZ westward""]","Icing at 3,200 m AGL within the NFZ requires immediate exit and altitude reduction to minimize risk. The UAV must return to the runway per mission rules and preserve battery. Continuing or climbing violates NFZ, icing, and energy constraints; only diverting to runway ensures compliance and safety." 2025-11-01T18:06:58Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Disaster_Reconnaissance_at_Bridge_Site_under_Sandstorm_1eec164b5f34_mcq.json,uavbench-mcq-v1,Disaster_Reconnaissance_at_Bridge_Site_under_Sandstorm,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,F,F,True,"During sandstorm with 13 m/s winds at 120 m AGL, how should the scout UAV adjust altitude and route near the bridge NFZ?","Disaster reconnaissance mission using a VTOL tiltrotor UAV equipped with RGB and thermal cameras, LiDAR, and radar. Flight occurs over a bridge site in poor visibility due to an active sandstorm with strong, gusty winds. Wind speed increases with altitude, reaching 13 m/s at 100 m with shifting direction, complicating flight stability. The UAV operates within a defined polygonal airspace bounded between 5 m and 120 m AGL. A static no-fly zone surrounds the bridge center, with an additional moving no-fly cylinder due to dynamic hazards. GNSS signals suffer from multipath effects and intentional jamming, with a simulated 30-second GNSS jamming fault. Radio communications experience a 30-second downlink loss window, challenging telemetry and control. The mission involves a three-UAV swarm with leader, scout, and relay roles maintaining 20 m minimum separation. UAVs must follow a corridor search pattern to locate targets under time and battery constraints. A runway-assisted landing is required at the end, with emergency landing sites available if needed.",Climb to 120 m for stable GNSS and clear bridge NFZ,Descend to 5 m AGL to avoid wind gusts and NFZ,"Hold at 60 m AGL, 25 m east of bridge center",Fly direct through bridge center at 50 m AGL,"Ascend to 110 m, circle west side at 15 m radius","Reroute north at 70 m AGL, 30 m from bridge edge","Descend to 30 m, hover 20 m south for thermal scan","[""Climb to 120 m for stable GNSS and clear bridge NFZ"", ""Descend to 5 m AGL to avoid wind gusts and NFZ"", ""Hold at 60 m AGL, 25 m east of bridge center"", ""Fly direct through bridge center at 50 m AGL"", ""Ascend to 110 m, circle west side at 15 m radius"", ""Reroute north at 70 m AGL, 30 m from bridge edge"", ""Descend to 30 m, hover 20 m south for thermal scan""]","At 70 m AGL, the UAV balances wind exposure and sensor performance while staying outside static and moving NFZs. The 30 m lateral buffer ensures 20 m swarm separation and avoids GNSS multipath near the bridge structure. Rerouting north maintains corridor search integrity and compensates for 30-second jamming with predictable trajectory." 2025-11-01T18:07:17Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Corridor_Follow_in_Dense_Urban_with_Low_Visibility_ae7fc3e34efe_mcq.json,uavbench-mcq-v1,Fixed-Wing_Corridor_Follow_in_Dense_Urban_with_Low_Visibility,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,A,C,False,"At 150s, comms drop and wind shifts; which action maintains formation and avoids the moving no-fly zone within 600s?","Fixed-wing UAV conducts a corridor-follow mission in dense urban airspace. The flight occurs between 60 and 150 meters AGL within a defined polygonal geofence. Poor visibility and icing conditions are present, with surface winds at 8 m/s from the west. Wind speed and direction vary with altitude, affecting aircraft performance. The UAV is equipped with GNSS, IMU, lidar, and RGB camera, but faces GNSS multipath and jamming. An active no-fly zone surrounds a central cylinder, with an additional moving no-fly zone. A second UAV and a moving spherical obstacle require separation using DAA thresholds. The mission must be completed within 600 seconds while avoiding stalls and low battery. Icing fault is simulated at 200 seconds, reducing aerodynamic efficiency for one minute. Communication dropouts occur briefly at 150 and 400 seconds, challenging control reliability.","Decrease speed by 15%, adjust heading east to avoid obstacle drift","Climb to 160m to escape icing, resume course after 20s","Broadcast position delay-tolerant message, hold current altitude","Transfer lidar scanning to second UAV, reduce own power output","Descend to 50m AGL for stable GNSS, reacquire path at 180s",Initiate stall recovery mode preemptively during communication loss,Synchronize clock with second UAV using IMU drift correction,"[""Decrease speed by 15%, adjust heading east to avoid obstacle drift"", ""Climb to 160m to escape icing, resume course after 20s"", ""Broadcast position delay-tolerant message, hold current altitude"", ""Transfer lidar scanning to second UAV, reduce own power output"", ""Descend to 50m AGL for stable GNSS, reacquire path at 180s"", ""Initiate stall recovery mode preemptively during communication loss"", ""Synchronize clock with second UAV using IMU drift correction""]","During communication drop at 150s, broadcasting delay-tolerant messages preserves situational awareness without relying on real-time links. Holding altitude maintains vertical separation from the moving spherical obstacle and avoids triggering DAA alerts. This balances timing, coordination, and obstacle avoidance under GNSS degradation and wind variability." 2025-11-01T18:07:33Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Delivery_in_Urban_Canyon_with_Cold_Weather_8a211293dd71_mcq.json,uavbench-mcq-v1,Heavy_Lift_Delivery_in_Urban_Canyon_with_Cold_Weather,minimax/minimax-m1,8,Ethical & Safety-Critical Decision Reasoning,7,B,D,False,"At 110m AGL, icing reduces lift by 15% with 10 m/s westerly winds; battery at 32%. Maintain altitude, descend, or abort?","This scenario involves a heavy lift UAV conducting a delivery mission in an urban canyon environment. The airspace is constrained between 10 and 120 meters AGL, with a static no-fly zone and a moving no-fly zone that drifts through the area. The UAV is equipped with a battery-powered octocopter configuration, carrying a 15 kg payload, and outfitted with GNSS, IMU, lidar, and RGB camera sensors. Strong westerly winds up to 10 m/s increase with altitude and shift direction, creating challenging flight conditions. Icing conditions are present, with a simulated icing event reducing performance midway through the mission. GNSS multipath and electromagnetic interference degrade navigation accuracy, especially in tight urban corridors. A second UAV and a moving spherical obstacle introduce dynamic collision risks, requiring separation maintenance above 25 meters. Communication experiences brief dropouts, and the UAV must complete its four-waypoint corridor mission within 600 seconds. Battery reserve is set to 30%, and low visibility is not an issue, but cold weather and icing threaten propulsion efficiency. The mission emphasizes resilience to environmental hazards, sensor degradation, and real-time obstacle avoidance in a complex urban setting.",Continue at 110m to meet 600s deadline,Descend to 15m to reduce wind exposure,Climb to 125m for smoother airflow,Abort mission due to performance loss,Pitch forward to gain speed despite ice,Hover at 110m until conditions improve,Fly diagonally across canyon to shelter,"[""Continue at 110m to meet 600s deadline"", ""Descend to 15m to reduce wind exposure"", ""Climb to 125m for smoother airflow"", ""Abort mission due to performance loss"", ""Pitch forward to gain speed despite ice"", ""Hover at 110m until conditions improve"", ""Fly diagonally across canyon to shelter""]","Icing and wind degrade control, nearing performance limits; safety requires abort before reserve drops below 30%. Continuing risks uncontrolled descent over urban area, endangering civilians and violating safety-of-life priority." 2025-11-01T18:07:47Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Fixed-Wing_Package_Delivery_in_Volcanic_Snowfall_0b5c7257135e_mcq.json,uavbench-mcq-v1,Fixed-Wing_Package_Delivery_in_Volcanic_Snowfall,minimax/minimax-m1,3,Mission Policy & Compliance Reasoning,7,D,D,True,"At 120m AGL, UAV encounters icing and GNSS jamming with a moving NFZ advancing west at 3 m/s. What action minimizes risk while maintaining mission compliance?","Fixed-wing UAV performs package delivery in a volcanic zone with active thermal plumes and snowfall. The mission operates under poor visibility and icing conditions with moderate to strong winds increasing with altitude. Wind shifts direction and intensifies with height, creating challenging flight dynamics. The UAV is equipped with GNSS, IMU, camera, and basic avionics but lacks LiDAR and thermal sensors. Payload includes a 1kg package with minimal aerodynamic drag. A static no-fly zone blocks the central area, and a moving obstacle drifts slowly through the airspace. An additional dynamic no-fly zone moves westward, requiring real-time path adjustments. GNSS signals suffer from multipath and moderate jamming, with brief comms outages during critical phases. Icing occurs mid-mission, degrading aerodynamic performance temporarily. The UAV must follow a corridor route, use a designated runway, and maintain separation from traffic and obstacles.",Climb to 180m AGL to avoid icing layer,Descend to 90m AGL and proceed direct,Maintain altitude and request ATC override,"Turn north, descend to 100m AGL, and follow corridor",Abort mission and land immediately off-runway,Accelerate through NFZ before it closes,Enter holding pattern at current altitude,"[""Climb to 180m AGL to avoid icing layer"", ""Descend to 90m AGL and proceed direct"", ""Maintain altitude and request ATC override"", ""Turn north, descend to 100m AGL, and follow corridor"", ""Abort mission and land immediately off-runway"", ""Accelerate through NFZ before it closes"", ""Enter holding pattern at current altitude""]","Descending to 100m AGL reduces icing risk and wind exposure while staying within the corridor and above ground clearance limits. Turning north avoids the westward-moving NFZ and maintains separation. Other options violate NFZ, increase icing, waste energy, or risk navigation failure during jamming." 2025-11-01T18:08:57Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Glider_Inspection_in_Rainy_Indoor_Warehouse_bee68531936f_mcq.json,uavbench-mcq-v1,Harbor_Glider_Inspection_in_Rainy_Indoor_Warehouse,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,D,E,False,"Plan route avoiding static NFZ, dynamic obstacle, and 10m separation under 15m AGL with icing and GNSS drift.","This mission involves a glider UAV conducting an indoor warehouse inspection under rainy conditions with poor visibility. The airspace is confined to a 100x80 meter indoor warehouse with a maximum altitude of 15 meters AGL. Weather includes moderate wind at 5 m/s from 240 degrees, gusts up to 3 m/s, rain, and icing conditions. The UAV is equipped with a battery-powered glider airframe and carries an RGB camera payload for visual inspection. Key sensors include GNSS, IMU, barometer, lidar, and magnetometer, though GNSS performance is degraded by multipath and interference. A static no-fly zone blocks the central area, and a dynamic no-fly zone moves through the space, requiring real-time avoidance. The mission must contend with a second UAV and a moving spherical obstacle, with strict separation requirements of 10 meters. Communication suffers from intermittent downlink outages, and an icing fault occurs mid-mission, reducing performance. The UAV spawns at one corner and must complete a corridor-style waypoint route ending at a designated landing site. Battery endurance and fault resilience are critical due to limited reserves and environmental stresses.","Fly direct at 14m AGL, ignore dynamic obstacle","Descend to 5m AGL, bypass NFZ westward",Climb to 20m AGL for better GNSS lock,"Follow corridor waypoints at 12m AGL, delay turns","Reroute north to avoid moving obstacle, 13m AGL",Hold position until dynamic NFZ clears path,Cut through static NFZ center to save battery,"[""Fly direct at 14m AGL, ignore dynamic obstacle"", ""Descend to 5m AGL, bypass NFZ westward"", ""Climb to 20m AGL for better GNSS lock"", ""Follow corridor waypoints at 12m AGL, delay turns"", ""Reroute north to avoid moving obstacle, 13m AGL"", ""Hold position until dynamic NFZ clears path"", ""Cut through static NFZ center to save battery""]","Flying at 13m AGL stays within altitude limits and avoids icing-prone lower levels. Rerouting north maintains 10m separation from the moving obstacle and dynamic NFZ while preserving mission timeline. Other options violate NFZs, exceed AGL limits, or increase risk during downlink outages." 2025-11-01T18:09:27Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Harbor_Swarm_Patrol_under_Thermal_Updrafts_7f8f45009332_mcq.json,uavbench-mcq-v1,Harbor_Swarm_Patrol_under_Thermal_Updrafts,minimax/minimax-m1,2,Navigation & Path Planning Reasoning,7,C,C,True,"Which route adjustment maintains 25m separation, avoids the drifting NFZ moving at 1.5 m/s, and stays within 20–150m AGL under 6.5 m/s wind?","This scenario involves a swarm drone patrol mission in a harbor environment. The airspace is constrained between 20 and 150 meters AGL with a polygonal geofence and two no-fly zones, one of which is dynamic and moving. Weather includes a 6.5 m/s wind from 120 degrees, gusts up to 3 m/s, and the presence of thermal updrafts at two locations that provide vertical lift. The UAVs are electric battery-powered hexacopter-style swarm drones equipped with radar, RGB and thermal cameras, and standard navigation sensors. Each drone carries a 0.3 kg payload and operates as part of a five-member swarm with distinct roles: leader, two followers, a scout, and a relay. The mission follows a corridor patrol pattern with five waypoints and a 600-second time budget, requiring tight separation management of at least 25 meters between drones. Challenges include avoiding a moving obstacle, a drifting no-fly zone, and maintaining communication during brief uplink/downlink loss windows. GNSS multipath effects may occur near harbor structures, and thermal updrafts can affect altitude control. The mission emphasizes swarm coordination, energy management, and deconfliction with dynamic obstacles and air traffic.",Climb to 160m AGL to clear thermal updrafts and reduce swarm density,Descend below 20m AGL to exploit wind shelter near harbor structures,Shift patrol corridor 40m east to avoid NFZ drift while holding altitude,Skip Waypoint 3 to save time and reduce exposure to GNSS multipath,Increase speed to 14 m/s to outrun the NFZ's path within time budget,"Reroute south, adding 200m flight distance, to bypass NFZ with 30m margin",Hover all drones for 45s to wait out NFZ movement before resuming,"[""Climb to 160m AGL to clear thermal updrafts and reduce swarm density"", ""Descend below 20m AGL to exploit wind shelter near harbor structures"", ""Shift patrol corridor 40m east to avoid NFZ drift while holding altitude"", ""Skip Waypoint 3 to save time and reduce exposure to GNSS multipath"", ""Increase speed to 14 m/s to outrun the NFZ's path within time budget"", ""Reroute south, adding 200m flight distance, to bypass NFZ with 30m margin"", ""Hover all drones for 45s to wait out NFZ movement before resuming""]","Option C maintains safe lateral separation from the moving NFZ while respecting the 20–150m AGL envelope and minimizing energy use. It avoids time-consuming maneuvers like hovering or excessive rerouting, preserving the 600s mission window. Other options violate altitude limits, increase risk near structures, or disrupt swarm timing and communication links." 2025-11-01T18:10:48Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/Heavy_Lift_Battery_Emergency_in_Harbor_Sandstorm_78dae57ec05f_mcq.json,uavbench-mcq-v1,Heavy_Lift_Battery_Emergency_in_Harbor_Sandstorm,minimax/minimax-m1,7,Energy & Resource Management Reasoning,7,G,G,True,"With 12,000 Wh battery, 10 kg payload, and 30% reserve, how should the UAV optimize flight under sandstorm and 30s comms loss?","This is a delivery mission using a heavy-lift multirotor UAV in a harbor environment. The UAV operates within a defined airspace from 5 to 120 meters AGL, restricted by a static geofenced area and two no-fly zones, one of which is dynamically moving. Weather conditions include strong winds from the southwest at 9.5 m/s with gusts up to 4.5 m/s and poor visibility due to an active sandstorm. The UAV is powered by a 12,000 Wh battery and carries a 10 kg payload with moderate drag. It is equipped with a full sensor suite including GNSS, IMU, lidar, radar, and RGB camera, but lacks thermal imaging. The mission must be completed within 600 seconds, following a corridor pattern through four waypoints while avoiding obstacles and traffic. A dynamic no-fly zone moves through the area, and a second UAV is present on a crossing path, requiring separation monitoring with a 25-meter threshold. A communication fault is introduced at 200 seconds, causing a 30-second lost link during a downlink-only degraded comms window. The UAV must manage battery reserves carefully, with a 30% reserve required and potential GNSS signal degradation due to environmental multipath and sandstorm interference.",Ascend to 120 m for clearer GNSS and radar returns,Reduce speed by 40% to improve sensor stability,Offload sensor data to edge server pre-fault,Shed payload to save power and increase margin,"Shorten path using direct route, ignoring corridor",Activate lidar continuously for obstacle avoidance,"Throttle down sensors, follow corridor, delay ascent","[""Ascend to 120 m for clearer GNSS and radar returns"", ""Reduce speed by 40% to improve sensor stability"", ""Offload sensor data to edge server pre-fault"", ""Shed payload to save power and increase margin"", ""Shorten path using direct route, ignoring corridor"", ""Activate lidar continuously for obstacle avoidance"", ""Throttle down sensors, follow corridor, delay ascent""]","G minimizes energy use by throttling non-critical sensors and adheres to safe, low-altitude flight, conserving battery for wind resistance and reserve. It avoids unnecessary power spikes while maintaining mission legality and obstacle awareness. Other options either increase drag, overuse power, or violate operational constraints." 2025-11-01T18:11:51Z,/content/drive/MyDrive/UAVBench_API/UAVBench_API_2000/scenario_mcqs/SolarWing_BridgeInspection_VolcanicZone_f661158ac160_mcq.json,uavbench-mcq-v1,SolarWing_BridgeInspection_VolcanicZone,minimax/minimax-m1,5,Multi-Agent Coordination Reasoning,7,E,F,False,"At 240s, icing reduces lift; UAV must reach thermal updraft at (350,700) by 260s while avoiding a drifting cylinder and maintaining comms.","This is a bridge inspection mission in a volcanic zone with challenging environmental conditions. The UAV operates within a defined polygonal airspace bounded between 10 and 250 meters AGL, avoiding static and moving no-fly zones. Weather includes strong winds up to 15 m/s increasing with altitude, wind shear, and icing conditions that temporarily affect aerodynamics. A solar-wing fixed-wing UAV equipped with RGB and thermal cameras, LiDAR, and full navigation sensors conducts the inspection. The aircraft must manage battery reserves carefully due to high drag and power demands in turbulent air. Key constraints include GNSS signal degradation (jammed at -75 dBm), electromagnetic interference, and temporary comms loss windows. The UAV must maintain separation from dynamic obstacles, including a drifting no-fly cylinder and a moving spherical obstacle. Thermal updrafts near coordinates (350, 700) offer potential lift but require precise control. The mission requires a runway approach for landing and must be completed within 600 seconds. Icing events at 240 seconds introduce temporary performance loss, demanding robust fault handling.",Climb immediately to 250m for faster transit despite wind shear,"Delay ascent, use ground effect to conserve battery before updraft","Divert to lower altitude to avoid icing, resuming after 300s",Rely on LiDAR-only navigation during GNSS dropout at 230m,"Enter thermal early at 255s, accepting 8 m/s tailwind",Coordinate with relay UAV to maintain comms during jamming window,"Abort inspection, prioritize safe landing over data completion","[""Climb immediately to 250m for faster transit despite wind shear"", ""Delay ascent, use ground effect to conserve battery before updraft"", ""Divert to lower altitude to avoid icing, resuming after 300s"", ""Rely on LiDAR-only navigation during GNSS dropout at 230m"", ""Enter thermal early at 255s, accepting 8 m/s tailwind"", ""Coordinate with relay UAV to maintain comms during jamming window"", ""Abort inspection, prioritize safe landing over data completion""]","Maintaining communication via a relay UAV ensures command continuity during GNSS/comms loss, enabling coordinated trajectory updates. It supports fault resilience during icing and preserves mission timing without sacrificing data quality. Other options either break comms, waste energy, or miss critical coordination windows."