# Submissions for: Cone Detection for Formula Student Driverless Competition |#| Submission | Links | |-|-|-------------------------------------------| |1|[Simulink Deep Learning Cone Detection for Formula Student Driverless](https://github.com/Chakradhara29/Cone-Detection-for-Formula-Student-Driverless-Competition-Assignment-MathWork)
This project implements YOLO v2 deep learning for cone detection in a Formula Student driverless vehicle simulation using Simulink and the Vehicle Dynamics Blockset, with deployment to NVIDIA Jetson.

**Authors:** Amogha Chakradhara L
**Affiliation:** Jain Deemed-to-be-University IIAEM
**Submission Date:** 2025-01-16|
[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/Chakradhara29/Cone-Detection-for-Formula-Student-Driverless-Competition-Assignment-MathWork)
[![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=Chakradhara29/Cone-Detection-for-Formula-Student-Driverless-Competition-Assignment-MathWork)



[![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md) [![Trend: Computer Vision](https://img.shields.io/badge/Trend-Computer%20Vision-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Computer%20Vision.md)| |2|[Cone Detection for Formula Student Driverless Competition](https://github.com/DkPanseriya/Cone-Detection.git)
This project uses MATLAB and Simulink to train a YOLOv2 object detection algorithm for identifying blue and yellow cones in a virtual environment, aiming to enhance autonomous Formula Student racing navigation.

**Authors:** Darshak Panseriya
**Affiliation:** Technische Hochschule Ingolstadt
**Submission Date:** 2024-04-10|
[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/DkPanseriya/Cone-Detection.git)
[![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=DkPanseriya/Cone-Detection)



[![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md) [![Trend: Computer Vision](https://img.shields.io/badge/Trend-Computer%20Vision-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Computer%20Vision.md)| |3|[YOLOv2-based Cone Detection for Formula Student Driverless](https://github.com/MahenderChoudhary/Cone-Detection-for-FSAE-Driverless/blob/406f4b9043fa47a48ff67ab32f523300ef0e680f/README.md)
This project implements a YOLOv2-based computer vision system for real-time cone detection and tracking in Formula Student Driverless competitions, utilizing the FSOCO dataset and ROS.

**Authors:** Mahender Choudhary
**Affiliation:** Fr. Conceicao Rodrigues College of Engineering
**Submission Date:** 2024-02-20|
[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/MahenderChoudhary/Cone-Detection-for-FSAE-Driverless/blob/406f4b9043fa47a48ff67ab32f523300ef0e680f/README.md)
[![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=MahenderChoudhary/Cone-Detection-for-FSAE-Driverless)



[![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md) [![Trend: Computer Vision](https://img.shields.io/badge/Trend-Computer%20Vision-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Computer%20Vision.md)| |4|[Cone Detection for Formula Student Driverless Competition](https://github.com/pranavvgg/ConeDetection_FBDV_PranavGupta.git)
A Matlab project for cone detection, processing video to identify cones on both sides of a Formula Student driverless car, with future GPU deployment planned for live camera feed.

**Authors:** Pranav Gupta, Pranav Gupta
**Affiliation:** Thapar Institute of Engineering and Technology
**Submission Date:** 2024-02-20|
[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/pranavvgg/ConeDetection_FBDV_PranavGupta.git)
[![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=pranavvgg/ConeDetection_FBDV_PranavGupta)



[![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md) [![Trend: Computer Vision](https://img.shields.io/badge/Trend-Computer%20Vision-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Computer%20Vision.md)| |5|[Cone Detection for Formula Student Driverless Competition](https://github.com/vivinvarshans/Cone-Detection-MathWork-Assignment.git)
This project implements YOLOv2 cone detection using MATLAB and Simulink within a virtual Formula Student driverless environment for autonomous vehicle navigation.

**Authors:** Vivin Varshan S
**Affiliation:** Vellore Institute of Technology, Vellore
**Submission Date:** 2023-12-24|
[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/vivinvarshans/Cone-Detection-MathWork-Assignment.git)
[![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=vivinvarshans/Cone-Detection-MathWork-Assignment)



[![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md) [![Trend: Computer Vision](https://img.shields.io/badge/Trend-Computer%20Vision-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Computer%20Vision.md)|