LiDAR Camera Extrinsic Calibration

LiDAR-camera extrinsic calibration aims to accurately determine the spatial relationship between a LiDAR sensor and a camera, enabling precise data fusion for applications like autonomous driving and robotics. Current research emphasizes developing robust, automatic, and target-less calibration methods, often employing deep learning architectures (e.g., CNNs) or geometric algorithms leveraging ground planes and edge features for initial pose estimation and refinement. Accurate calibration is crucial for reliable sensor fusion, improving the performance and safety of systems relying on integrated LiDAR and camera data.