lidar_camera_calibration
A ROS package for extrinsic calibration between LiDAR and camera sensors using 3D-3D point correspondences.
What is lidar_camera_calibration?
lidar_camera_calibration is a ROS package that computes the extrinsic calibration (rigid-body transformation) between a LiDAR sensor and a camera. It solves the critical problem of aligning 3D point cloud data with 2D image frames, which is necessary for accurate sensor fusion in robotics, autonomous vehicles, and 3D perception systems. The method uses 3D-3D point correspondences obtained from ArUco marker boards placed in the environment.
Robotics engineers and researchers working on autonomous systems, sensor fusion, or perception stacks who need precise alignment between LiDAR and camera data. It's particularly useful for teams deploying multi-sensor platforms in real-world environments.
Developers choose this package because it provides a proven, practical calibration method with support for popular LiDAR hardware (Hesai, Velodyne) and camera types. Its iterative averaging and point cloud fusion capabilities offer robustness and verification tools not always found in basic calibration solutions.
Overview
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
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