LLM-generated semantic descriptions of driving behaviors are encoded and used as privileged information exclusively during SVM+ training to improve alignment with expert driving style recognition while inference uses only sensor data.
Interaction-awareness based inten- tion inference of lag vehicle in lane changing decision-making process for autonomous driving,
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Driving Style Recognition Like an Expert Using Semantic Privileged Information from Large Language Models
LLM-generated semantic descriptions of driving behaviors are encoded and used as privileged information exclusively during SVM+ training to improve alignment with expert driving style recognition while inference uses only sensor data.