This code is an implementation of paper "Lightweight 3-D Localization and Mapping for Solid-State LiDAR", accepted in IEEE Robotics and Automation Letters, 2021
A summary video demo can be found at Video
If you would like to separate mapping and localization, you can check this repo: SSL_SLAM2
Modifier: Wang Han, Nanyang Technological University, Singapore
Running speed: 20 Hz on Intel NUC, 30 Hz on PC
Ubuntu 64-bit 18.04.
ROS Melodic. ROS Installation
Follow Ceres Installation.
Follow PCL Installation.
Tested with 1.8.1
Follow OctoMap Installation.
$ sudo apt install ros-melodic-octomap*
For visualization purpose, this package uses hector trajectory sever, you may install the package by
sudo apt-get install ros-melodic-hector-trajectory-server
Alternatively, you may remove the hector trajectory server node if trajectory visualization is not needed
cd ~/catkin_ws/src
git clone https://github.com/wh200720041/SSL_SLAM.git
cd ..
catkin_make
source ~/catkin_ws/devel/setup.bash
You may download our recorded data if you dont have realsense L515, and by defult the file should be under home/user/Downloads
if you would like to create the map at the same time, you can run
roslaunch ssl_slam ssl_slam_mapping.launch
or create probability map
roslaunch ssl_slam ssl_slam_octo_mapping.launch
if only localization is required, you may refer to run
roslaunch ssl_slam ssl_slam.launch
If you have new Realsense L515 sensor, you may follow the below setup instructions
Follow Librealsense Installation
Copy realsense_ros package to your catkin folder
cd ~/catkin_ws/src
git clone https://github.com/IntelRealSense/realsense-ros.git
cd ..
catkin_make
roslaunch ssl_slam ssl_slam_L515.launch
This runs ssl_slam_mapping.launch
with live L515 data.
If you use this work for your research, you may want to cite
@article{wang2021lightweight,
title={Lightweight 3-D Localization and Mapping for Solid-State LiDAR},
author={Wang, Han and Wang, Chen and Xie, Lihua},
journal={arXiv preprint arXiv:2102.03800},
year={2021}
}