😎 A current list of LiDAR-IMU calibration method
Unofficial ICRA 2022 SLAM paper list
The easiest way to understand ORB_SLAM3 in Korean
Real-time 3D localization using a (velodyne) 3D LIDAR
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
ROS 2 多线激光雷达仿真示例工程。
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
ROS 2 nodes wrapping core MRPT functionality: localization, autonomous navigation, rawlogs, etc. SLAM is in other packages.
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
Multi robots perform mapping or localization and navigation.
PCL (Point Cloud Library) ROS interface stack
Using error-state Kalman filter to fuse the IMU and GPS data for localization.
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method
Custom Launch files for Orbbec Astra Pro to work with RTAB-Map
Leveraging system development and robot deployment for aerial autonomous navigation.
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