2 papers
cs.CV2026
Collision-Aware Vision-Language Learning for End-to-End Driving with Multimodal Infraction Datasets
Alex Koran, Dimitrios Sinodinos, Hadi Hojjati +3
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-rela…
cs.CV2024
Explanation for Trajectory Planning using Multi-modal Large Language Model for Autonomous Driving
Shota Yamazaki, Chenyu Zhang, Takuya Nanri +5
End-to-end style autonomous driving models have been developed recently. These models lack interpretability of decision-making process from perception to control of the ego vehicle…