2 papers
cs.CV2026
Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving
Yang Wu, Qiang Meng, Zhaojiang Liu +3
Current end-to-end autonomous driving models are fundamentally constrained by the behavioral cloning ceiling of imitation learning. While reinforcement learning offers a path to sm…
cs.RO2024
DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing
Junjie Zhou, Lin Wang, Qiang Meng +1
Generating realistic and diverse road scenarios is essential for autonomous vehicle testing and validation. Nevertheless, owing to the complexity and variability of real-world road…