An integrated HARA-STPA-FSM framework for evasive minimum risk maneuvers in autonomous vehicles delivers full hazard coverage and 81% collision avoidance in simulations versus under 1% for isolated methods.
Safe agile hazard avoidance system for autonomous vehicles,
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ManeuverGPT shows an LLM agent framework that generates parameters for successful J-turn maneuvers across vehicle models in simulation using prompt-based iteration and a validator agent.
citing papers explorer
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Risk Assessments for Evasive Emergency Maneuvers in Autonomous Vehicles
An integrated HARA-STPA-FSM framework for evasive minimum risk maneuvers in autonomous vehicles delivers full hazard coverage and 81% collision avoidance in simulations versus under 1% for isolated methods.
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ManeuverGPT Agentic Control for Safe Autonomous Stunt Maneuvers
ManeuverGPT shows an LLM agent framework that generates parameters for successful J-turn maneuvers across vehicle models in simulation using prompt-based iteration and a validator agent.