7 papers
DriveVer: Lightweight Trajectory Evaluator as Test-Time Verifier for Autonomous Driving
Chong He, Yuechen Luo, Fang Li +2
End-to-end autonomous driving models often encounter performance bottlenecks, as training-time scaling leads to high computational costs and diminishing marginal returns. Existing…
LaST-VLA: Thinking in Latent Spatio-Temporal Space for Vision-Language-Action in Autonomous Driving
Yuechen Luo, Fang Li, Shaoqing Xu +10
While Vision-Language-Action (VLA) models have revolutionized autonomous driving by unifying perception and planning, their reliance on explicit textual Chain-of-Thought (CoT) lead…
Unleashing VLA Potentials in Autonomous Driving via Explicit Learning from Failures
Yuechen Luo, Qimao Chen, Fang Li +5
Vision-Language-Action (VLA) models for autonomous driving often hit a performance plateau during Reinforcement Learning (RL) optimization. This stagnation arises from exploration…
An Empirical Analysis of Cooperative Perception for Occlusion Risk Mitigation
Aihong Wang, Tenghui Xie, Fuxi Wen +1
Occlusions present a significant challenge for connected and automated vehicles, as they can obscure critical road users from perception systems. Traditional risk metrics often fai…
TruckV2X: A Truck-Centered Perception Dataset
Tenghui Xie, Zhiying Song, Fuxi Wen +3
Autonomous trucking offers significant benefits, such as improved safety and reduced costs, but faces unique perception challenges due to trucks' large size and dynamic trailer mov…
Wireless Communication as an Information Sensor for Multi-agent Cooperative Perception: A Survey
Zhiying Song, Tenghui Xie, Fuxi Wen +1
Cooperative perception extends the perception capabilities of autonomous vehicles by enabling multi-agent information sharing via Vehicle-to-Everything (V2X) communication. Unlike…