AI RESEARCH
SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving
arXiv CS.AI
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ArXi:2604.22852v1 Announce Type: cross Cloud-hosted LLM inference for autonomous driving adds round-trip delay and depends on stable connectivity, while purely local edge models struggle under occlusion. We present SwarmDrive, a semantic Vehicle-to-Vehicle (V2V) coordination framework in which nearby vehicles run local Small Language Models (SLMs), share compact intent distributions only when uncertainty is high, and fuse them through event-triggered consensus.