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

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LCAS/online_learning

 
 

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Build StatusCodacy BadgeLicense: GPL v3

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 1YouTube 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)},   pages = {864--871},   address = {Vancouver, Canada},   month = {September},   year = {2017}}

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  • C++95.3%
  • Python2.7%
  • CMake1.4%
  • C0.6%

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