4 papers
Hamilton-Jacobi Reachability-Based Safe Reinforcement Learning for Emergency Collision Avoidance
Yuhong Jiang, Shiyue Zhao, Junzhi Zhang +4
Emergency collision avoidance under extreme driving conditions demands safety-critical control that accounts for both obstacle proximity and vehicle dynamic stability over a future…
Safety-Critical Human-Machine Shared Driving for Vehicle Collision Avoidance based on Hamilton-Jacobi reachability
Shiyue Zhao, Junzhi Zhang, Rui Zhou +4
Road safety continues to be a pressing global issue, with vehicle collisions imposing significant human, societal, and economic burdens. Human-machine shared collision avoidance in…
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…
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…