RSFastLivo

The RSFastLivo module integrates the RoboSense AC1 with the Fast-LIVO-based SLAM framework. It enables real-time LiDAR odometry and mapping, providing accurate localization and dense 3D maps for MAVISS.


Repository


Features

  • LiDAR odometry and mapping based on the Fast-LIVO algorithm.

  • Real-time processing for UAV navigation and mapping.

  • Optimized for RoboSense AC-series sensors.

  • ROS 2 integration for visualization in RViz2.


Installation & Usage

Clone, build, and launch the SLAM node in your ROS 2 workspace:

cd ~/ros2_ws/src
git clone https://github.com/RoboSense-Robotics/robosense_ac_slam.git
cd ~/ros2_ws
colcon build --packages-select robosense_ac_slam
source install/setup.bash

# Launch the SLAM node
ros2 launch robosense_ac_slam demo.launch.py