KISS-ICP



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[KISS-ICP](https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2023ral.pdf) is a LiDAR Odometry pipeline that **just works** on most of the cases withouth tunning any parameter.

KISS-ICP Demo


## Install ```sh pip install kiss-icp ``` If you also want to install all the *(optional)* dependencies, like Open3D for running the visualizer: ```sh pip install "kiss-icp[all]" ``` ## Running the system Next, follow the instructions on how to run the system by typing: ```sh kiss_icp_pipeline --help ``` This should print the following help message: ![out](https://user-images.githubusercontent.com/21349875/193282970-25a400aa-ebcd-487a-b839-faa04eeca5b9.png) ### Config You can generate a default `config.yaml` by typing ```sh kiss_icp_dump_config ``` Now, you can modify the parameters and pass the file to the `--config` option when running the `kiss_icp_pipeline`. ### Install Python API (developer mode) If you plan to modify the code then you need to setup the dev dependencies, luckily, the only real requirements are a modern C++ compiler and the `pip` package manager, nothing else!, in Ubuntu-based systems this can be done with: ```sh sudo apt install g++ python3-pip ``` After that you can clone the code and install the python api: ```sh git clone https://github.com/PRBonn/kiss-icp.git cd kiss-icp make editable ``` ### Install Python API (expert mode) If you want to have more controll over the build, you should then install `cmake`, ,`ninja`, `tbb`, `Eigen`, and `pybind11` as extra dependencies in your system, the ubuntu-way of doing this is: ```sh sudo apt install build-essential libeigen3-dev libtbb-dev pybind11-dev ninja-build ``` ## Citation If you use this library for any academic work, please cite our original [paper](https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2023ral.pdf). ```bibtex @article{vizzo2023ral, author = {Vizzo, Ignacio and Guadagnino, Tiziano and Mersch, Benedikt and Wiesmann, Louis and Behley, Jens and Stachniss, Cyrill}, title = {{KISS-ICP: In Defense of Point-to-Point ICP -- Simple, Accurate, and Robust Registration If Done the Right Way}}, journal = {IEEE Robotics and Automation Letters (RA-L)}, pages = {1029--1036}, doi = {10.1109/LRA.2023.3236571}, volume = {8}, number = {2}, year = {2023}, codeurl = {https://github.com/PRBonn/kiss-icp}, } ``` ## Contributing We envision KISS-ICP as a comunity-driven project, we love to see how the project is growing thanks to the contributions from the comunity. We would love to see your face in the list below, just open a Pull Request!