Collision-Aware Vision-Language Learning for End-to-End Driving with Multimodal Infraction Datasets
arXiv:2603.25946v1 Announce Type: new
Abstract: High infraction rates remain the primary bottleneck for end-to-end (E2E) autonomous driving, as evidenced by the low driving scores on the CARLA Leaderboard. Despite collision-related infractions being t…