AIBullisharXiv – CS AI · Mar 46/103
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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.