1 citations · 1 across the 8 of their papers we have counts for
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Data-Driven Risk Fields for Safer End-to-End Autonomous Driving
Yuanxin Tian, Zhiyuan Liu, Jinhao Li +9
Safety is a fundamental requirement for autonomous driving, yet existing end-to-end driving models still lack explicit risk-aware learning capacities. Existing rule-based risk mode…
SACA: A Scenario-Aware Collision Avoidance Framework for Autonomous Vehicles Integrating LLMs-Driven Reasoning
Shiyue Zhao, Junzhi Zhang, Neda Masoud +3
Reliable collision avoidance under extreme situations remains a critical challenge for autonomous vehicles. While large language models (LLMs) offer promising reasoning capabilitie…
InVDriver: Intra-Instance Aware Vectorized Query-Based Autonomous Driving Transformer
Bo Zhang, Heye Huang, Chunyang Liu +2
End-to-end autonomous driving with its holistic optimization capabilities, has gained increasing traction in academia and industry. Vectorized representations, which preserve insta…
High-Speed Cornering Control and Real-Vehicle Deployment for Autonomous Electric Vehicles
Shiyue Zhao, Junzhi Zhang, Neda Masoud +3
Executing drift maneuvers during high-speed cornering presents significant challenges for autonomous vehicles, yet offers the potential to minimize turning time and enhance driving…