3 citations · 4 across the 3 of their papers we have counts for
4 papers
Beyond Retrieval Relevance: Scene-Grounded Risk Entailment for Vision-Language Driving
Jiaxin Liu, Ruilin Yu, Liang Peng +8
Retrieval-augmented generation (RAG) gives vision--language driving systems access to external safety knowledge, yet a retrieved risk rule may be relevant without applying to the c…
Seeing before Observable: Potential Risk Reasoning in Autonomous Driving via Vision Language Models
Jiaxin Liu, Xiangyu Yan, Liang Peng +11
Ensuring safety remains a key challenge for autonomous vehicles (AVs), especially in rare and complex scenarios. One critical but understudied aspect is the \textbf{potential risk}…
Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective
Wenbo Shao, Yanchao Xu, Liang Peng +2
Motion prediction is essential for safe and efficient autonomous driving. However, the inexplicability and uncertainty of complex artificial intelligence models may lead to unpredi…
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving
Liang Peng, Boqi Li, Wenhao Yu +3
Autonomous driving confronts great challenges in complex traffic scenarios, where the risk of Safety of the Intended Functionality (SOTIF) can be triggered by the dynamic operation…