GitHub repository
A target-less, automatic toolbox for LiDAR-camera extrinsic calibration that works with various sensor models without requiring calibration targets.
What is GitHub repository?
Direct Visual LiDAR Calibration is a toolbox for extrinsic calibration between LiDAR and camera sensors. It automatically aligns 3D point clouds with 2D images without requiring calibration targets, using environmental features instead. The method supports various LiDAR and camera models and can work with minimal data.
Robotics engineers, autonomous vehicle developers, and researchers working on sensor fusion, 3D perception, or multi-modal sensor systems.
It eliminates the need for calibration targets and manual intervention while supporting diverse sensor configurations, making it more practical and accessible than traditional calibration methods.
Overview
A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]
Use Cases
Best For
- Calibrating LiDAR-camera systems in autonomous vehicles
- Sensor fusion for robotics applications without calibration targets
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