LiDAR Camera

LiDAR-camera systems integrate the depth sensing capabilities of LiDAR with the rich visual information from cameras, aiming for improved scene understanding and robust perception in applications like autonomous driving and robotics. Current research emphasizes accurate extrinsic calibration methods, often employing novel algorithms that bypass traditional point-correspondence registration, and explores advanced fusion techniques such as neural radiance fields and cross-modal mask matching for improved 3D object detection and scene reconstruction. These advancements are crucial for enhancing the reliability and accuracy of autonomous systems, particularly in challenging environments where single-sensor approaches fall short.