CMU-Drive and V2V-VLA: cooperative multi-agent unified driving with reasoning benchmark and vehicle-to-vehicle vision-language-action models
Read the original at arxiv.org→arXiv:2608.07621v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have recently achieved impressive performance for end-to-end autonomous driving, yet existing approaches are primarily designed for...
Original headline: "CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models"
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- Aug 11, 04:00 UTC arXiv cs.AI lead source CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models