Pedestrian-Aware LLM-Driven Behavioral Planning for Autonomous Vehicles

In three linesLLM-based behavioral planning framework for autonomous vehicles to anticipate pedestrian behavior. Evaluated on SUMO: 68% collision-free success rate zero-shot (vs 17.7% deep RL), 96% with few-shot episodic memory. Interpretable decisions with cross-behavior transfer across scenarios.

Summary generated by Claude — human-verified