4 papers
ScenePilot-4K: A Large-Scale First-Person Dataset and Benchmark for Vision-Language Models in Autonomous Driving
Yujin Wang, Yutong Zheng, Wenxian Fan +7
In this paper, we introduce ScenePilot-4K, a large-scale first-person dataset for safety-aware vision-language learning and evaluation in autonomous driving. Built from public onli…
Found-RL: foundation model-enhanced reinforcement learning for autonomous driving
Yansong Qu, Zihao Sheng, Zilin Huang +6
Reinforcement Learning (RL) has emerged as a dominant paradigm for end-to-end autonomous driving (AD). However, RL suffers from sample inefficiency and a lack of semantic interpret…
Do VLMs Have a Moral Backbone? A Study on the Fragile Morality of Vision-Language Models
Zhining Liu, Tianyi Wang, Xiao Lin +9
Despite substantial efforts toward improving the moral alignment of Vision-Language Models (VLMs), it remains unclear whether their ethical judgments are stable in realistic settin…
Characteristics Analysis of Autonomous Vehicle Pre-crash Scenarios
Yixuan Li, Xuesong Wang, Tianyi Wang +1
To date, hundreds of crashes have occurred in open road testing of automated vehicles (AVs), highlighting the need for improving AV reliability and safety. Pre-crash scenario typol…