Loam-Livox is a robust, low drift, and real time odometry and mapping package for Livox LiDARs, significant low cost and high performance LiDARs that are designed for massive industrials uses. Our package address many key issues: feature extraction and selection in a very limited FOV, robust outliers rejection, moving objects filtering, and motion distortion compensation. We use Ceres-Solver for scan matching to avoid complicated differential geometry derivation. The codes are well structured and streamlined to improve readability and extendability.
In the development of our package, we reference to LOAM, LOAM_NOTED, and A-LOAM.
Developer: Jiarong Lin
Ubuntu 64-bit 16.04 or 18.04. ROS Kinetic or Melodic. ROS Installation
Follow Ceres Installation.
Follow PCL Installation.
Clone the repository and catkin_make:
cd ~/catkin_ws/src
git clone https://github.com/hku-mars/loam_livox.git
cd ../
catkin_make
source ~/catkin_ws/devel/setup.bash
Connect to your PC to Livox LiDAR (mid-40) by following Livox-ros-driver installation, then
roslaunch loam_livox livox.launch
To improve the whole wise performance, we strongly recommend you to fresh your livox lidar with this firmware by following this tutorial.
Download Our recorded rosbag and then
roslaunch loam_livox rosbag.launch
rosbag play YOUR_DOWNLOADED.bag
For large scale rosbag (For example HKUST_01.bag ), we recommand you launch with bigger line and plane resolution (using rosbag_largescale.launch)
roslaunch loam_livox rosbag_largescale.launch
rosbag play YOUR_DOWNLOADED.bag
Thanks for LOAM(J. Zhang and S. Singh. LOAM: Lidar Odometry and Mapping in Real-time) LOAM, LOAM_NOTED, and A-LOAM.
The source code is released under GPLv3 license.
We are still working on improving the performance and reliability of our codes. For any technical issues, please contact me via email Jiarong Lin < ziv.lin.ljr@gmail.com >.
For commercial use, please contact Dr. Fu Zhang < fuzhang@hku.hk >