Efficient Multi-Task Perception for LiDAR-Based Autonomous Driving

A novel point-based multi-task architecture that enables efficient joint learning of semantic segmentation and object detection from LiDAR point clouds, achieving competitive performance while being significantly smaller and faster than related multi-task models.