Cross LiDAR 3D Detection

Cross-LiDAR 3D detection focuses on improving the accuracy and efficiency of object detection in 3D point cloud data acquired from different LiDAR sensors. Current research emphasizes techniques like knowledge distillation to enhance existing models, temporal information fusion to leverage motion cues across multiple LiDAR sweeps, and multi-sensor fusion (e.g., combining LiDAR with camera or radar data) to address limitations of individual sensors. These advancements are crucial for autonomous driving and robotics, enabling more robust and reliable perception in complex environments.