A lightweight and accurate point cloud clustering method (check out the devel branch for further enrichment).
$ cd ~/catkin_ws/src/
$ git clone https://github.com/yzrobot/adaptive_clustering.git
$ cd ~/catkin_ws
$ catkin_make
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}
}