4 papers
Safe and Stylized Trajectory Planning for Autonomous Driving via Diffusion Model
Shuo Pei, Yong Wang, Yuanchen Zhu +4
Achieving safe and stylized trajectory planning in complex real-world scenarios remains a critical challenge for autonomous driving systems. This paper proposes the SDD Planner, a…
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…