State of Autonomous Driving AI

3 papers · avg viability 3.7

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LLM-MLFFN: Multi-Level Autonomous Driving Behavior Feature Fusion via Large Language Model(7.0)
Drive-KD: Multi-Teacher Distillation for VLMs in Autonomous Driving(2.0)
BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations(2.0)