Towards Compact Autonomous Driving Perception with Balanced Learning and Multi-sensor Fusion 事件

Towards Compact Autonomous Driving Perception with Balanced Learning and Multi-sensor Fusion arXiv:2606.02979v1 Announce Type: new Abstract: We present a novel compact deep multi-task learning model to handle various autonomous driving perception tasks in one forward pass. The model performs multiple views of semantic segmentation, depth estimation, light detection and ranging (LiDAR) segmentation, and bird's eye view projection simultaneously without being supported by other models. We also pr