LiDAR Object Detection Network

LiDAR object detection networks use point cloud data from LiDAR sensors to identify and locate objects in 3D space, a crucial task for autonomous vehicles and robotics. Current research focuses on improving efficiency (e.g., through post-training quantization and anytime frameworks) and robustness (e.g., by addressing domain gaps between different LiDAR sensors and leveraging radar data fusion), often employing architectures like CenterPoint and VoxelNext. These advancements aim to enhance accuracy and reduce computational demands for real-time applications, ultimately improving the safety and reliability of autonomous systems.