/adaptive_clustering

Lightweight and Accurate Point Cloud Clustering

Primary LanguageC++BSD 3-Clause "New" or "Revised" LicenseBSD-3-Clause

Adaptive Clustering

Build Status Codacy Badge License

A lightweight and accurate point cloud clustering method (check out the devel branch for further enrichment).

YouTube Video

How to build

$ cd ~/catkin_ws/src/
$ git clone https://github.com/yzrobot/adaptive_clustering.git
$ cd ~/catkin_ws
$ catkin_make

Citation

If you are considering using this code, please reference the following:

@article{yz19auro,
   author = {Zhi Yan and Tom Duckett and Nicola Bellotto},
   title = {Online learning for 3D LiDAR-based human detection: Experimental analysis of point cloud clustering and classification methods},
   journal = {Autonomous Robots},
   year = {2019}
}