2 papers
cs.RO2025
X-Driver: Explainable Autonomous Driving with Vision-Language Models
Wei Liu, Jiyuan Zhang, Binxiong Zheng +3
End-to-end autonomous driving has advanced significantly, offering benefits such as system simplicity and stronger driving performance in both open-loop and closed-loop settings th…
cs.LG2024
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving
Jonathan Booher, Khashayar Rohanimanesh, Junhong Xu +5
Modern approaches to autonomous driving rely heavily on learned components trained with large amounts of human driving data via imitation learning. However, these methods require l…