AI RESEARCH
See2Refine: Vision-Language Feedback Improves LLM-Based eHMI Action Designers
arXiv CS.AI
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ArXi:2602.02063v2 Announce Type: replace-cross Automated vehicles lack natural communication channels with other road users, making external Human-Machine Interfaces (eHMIs) essential for conveying intent and maintaining trust in shared environments. However, most eHMI studies rely on developer-crafted message-action pairs, which are difficult to adapt to diverse and dynamic traffic contexts.