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Online learning for human classification in 3D LiDAR-based tracking

Build Status Codacy Badge License: MIT

This is a ROS-based online learning framework for human classification in 3D LiDAR scans, taking advantage of robust multi-target tracking to avoid the need for data annotation by a human expert. Please watch the videos below for more details.

YouTube Video 1 YouTube Video 2

How to build

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

Citation

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

@inproceedings{yz17iros,
author = {Zhi Yan and Tom Duckett and Nicola Bellotto},
title = {Online Learning for Human Classification in 3D LiDAR-based Tracking},
booktitle = {In Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
address = {Vancouver, Canada},
month = {September},
year = {2017}
}

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  • C++ 95.3%
  • Python 2.7%
  • CMake 1.4%
  • C 0.6%