5 papers
DRIFT: Driving Risk Inference via Field Transmission for Human-like Autonomous Driving
Zian Wang, Yiming Shu, Zejian Deng +1
Risk fields offer spatially structured alternatives to scalar safety metrics. However, hand-crafted static risk field models struggle with occlusion and topology-driven propagation…
TraceMem: Weaving Narrative Memory Schemata from User Conversational Traces
Yiming Shu, Pei Liu, Tiange Zhang +3
Sustaining long-term interactions remains a bottleneck for Large Language Models (LLMs), as their limited context windows struggle to manage dialogue histories that extend over tim…
LA-RL: Language Action-guided Reinforcement Learning with Safety Guarantees for Autonomous Highway Driving
Yiming Shu, Jiahui Xu, Jiwei Tang +2
Autonomous highway driving demands a critical balance between proactive, efficiency-seeking behavior and robust safety guarantees. This paper proposes Language Action-guided Reinfo…
Scenario-aware Uncertainty Quantification for Trajectory Prediction with Statistical Guarantees
Yiming Shu, Jiahui Xu, Linghuan Kong +3
Reliable uncertainty quantification in trajectory prediction is crucial for safety-critical autonomous driving systems, yet existing deep learning predictors lack uncertainty-aware…
Learning Occlusion-aware Decision-making from Agent Interaction via Active Perception
Jie Jia, Yiming Shu, Zhongxue Gan +1
Occlusion-aware decision-making is essential in autonomous driving due to the high uncertainty of various occlusions. Recent occlusion-aware decision-making methods encounter issue…