LLM-MLFFN: Multi-Level Autonomous Driving Behavior Feature Fusion via Large Language Model

Researchers developed LLM-MLFFN, a new framework combining large language models with multi-level feature fusion to classify autonomous vehicle driving behaviors. The system achieves over 94% accuracy on the Waymo dataset by integrating numerical driving data with semantic features extracted through LLMs.