Other

项目介绍

cocel-postech/genz-icp 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,采用 Other 许可证,目前获得 688 个 Star、112 次 Fork。

仓库全名
cocel-postech/genz-icp
开源许可证
Other
Star 数
688
Fork 数
112

README 摘要

GenZ-ICP Demo   •   Video   •   Install   •   ROS   •   Paper   •   Contact Us (May 19, 2026) pip installation is now live: [GenZ-ICP][arXivlink] is a Generalizable and Degeneracy-Robust LiDAR Odometry Using an Adaptive Weighting [arXivlink]: https://arxiv.org/abs/2411.06766 Install Next, follow the instructions on…

完整内容见 GitHub 原始 README 或本页 。

常见问题

genz-icp 用什么语言开发?

主要使用 Python 编写,采用 Other 许可证,目前有 688 个 Star。

genz-icp 可以免费商用吗?

仓库标注的许可证为 Other,商用前请先阅读仓库 LICENSE 文件确认授权范围。

如何获取 genz-icp 的源码?

可以直接克隆仓库:git clone https://github.com/cocel-postech/genz-icp.git;安装与运行步骤见仓库 README。

genz-icp 最近还在维护吗?

仓库最近一次更新为 6月16日,当前没有未关闭的 Issue;Star 数为 688,可作为社区活跃度的参考。

关于

GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)

描述取自 GitHub 官方 API,中文内容由 GitRead 中文社区 编辑团队整理。

语言占比

C++
CMake
Python

Release

README

GenZ-ICP

License: MIT

Demo   •   Video   •   Install   •   ROS   •   Paper   •   Contact Us

animated

(May 19, 2026) pip installation is now live:
pip install genz-icp

GenZ-ICP is a Generalizable and Degeneracy-Robust LiDAR Odometry Using an Adaptive Weighting

Install

pip install genz-icp

Next, follow the instructions on how to run the system by typing:

genz_icp_pipeline --help

This should print a help message with supported dataloaders and options.

For advanced instructions on the Python package please see this README

ROS support

ROS 1

Build

mkdir -p ~/catkin_ws/src
cd ~/catkin_ws/src
git clone https://github.com/cocel-postech/genz-icp.git
cd ..
catkin build genz_icp --cmake-args -DCMAKE_BUILD_TYPE=Release
source ~/catkin_ws/devel/setup.bash

Run with pre-tuned config

roslaunch genz_icp odometry.launch topic:=<topic_name> config_file:=<config_file_name>.yaml
rosbag play <rosbag_file_name>.bag

Run with only topic

roslaunch genz_icp odometry.launch topic:=<topic_name>
rosbag play <rosbag_file_name>.bag

Examples and download links for demo datasets are available in ros/README.md.

Parameter tuning guide: ros/config/parameter_tuning_guide.md

ROS 2

Build

mkdir -p ~/colcon_ws/src
cd ~/colcon_ws/src
git clone https://github.com/cocel-postech/genz-icp.git
cd ..
colcon build --packages-select genz_icp --cmake-args -DCMAKE_BUILD_TYPE=Release --symlink-install
source ~/colcon_ws/install/setup.bash

Run with pre-tuned config

ros2 launch genz_icp odometry.launch.py topic:=<topic_name> config_file:=<config_file_name>.yaml
ros2 bag play <rosbag_file_name>.db3

Run with only topic

ros2 launch genz_icp odometry.launch.py topic:=<topic_name>
ros2 bag play <rosbag_file_name>.db3

Examples and download links for demo datasets are available in ros/README.md.

Parameter tuning guide: ros/config/parameter_tuning_guide.md

:pencil: Citation

If you use our codes, please cite our paper (arXiv, IEEE Xplore)

@ARTICLE{lee2024genzicp,
  author={Lee, Daehan and Lim, Hyungtae and Han, Soohee},
  journal={IEEE Robotics and Automation Letters (RA-L)}, 
  title={{GenZ-ICP: Generalizable and Degeneracy-Robust LiDAR Odometry Using an Adaptive Weighting}}, 
  year={2025},
  volume={10},
  number={1},
  pages={152-159},
  keywords={Localization;Mapping;SLAM},
  doi={10.1109/LRA.2024.3498779}
}

For the LiDAR-inertial odometry (LIO) extension of GenZ-ICP, please also refer to GenZ-LIO.

@article{lee2026genzlio,
  title={{GenZ-LIO: Generalizable LiDAR-Inertial Odometry Beyond Confined--Open Boundaries}},
  author={Lee, Daehan and Lim, Hyungtae and Kim, Seongjun and Rho, Soonbin and Lee, Changhyeon and Park, Sanghyun and Hong, Junwoo and Choi, Eunseon and Jo, Hyunyoung and Han, Soohee},
  journal={arXiv preprint arXiv:2603.16273},
  year={2026}
}

:sparkles: Contributors

Like KISS-ICP, we envision GenZ-ICP as a community-driven project, we love to see how the project is growing thanks to the contributions from the community. We would love to see your face in the list below, just open a Pull Request!

:pray: Acknowledgement

Many thanks to KISS team—Ignacio Vizzo, Tiziano Guadagnino, Benedikt Mersch—to provide outstanding LiDAR odometry codes!

Please refer to KISS-ICP for more information

:mailbox: Contact information

If you have any questions, please do not hesitate to contact us

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