CMU發佈多車協同駕駛基準

Computer Science > Artificial Intelligence arXiv:2608.07621 (cs) [Submitted on 7 Aug 2026] Title:CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models Authors:Hsu-kuang Chiu, Stephen F.

Smith View a PDF of the paper titled CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models, by Hsu-kuang Chiu and 1 other authors View PDF HTML (experimental) Abstract:Vision-Language-Action (VLA) models have recently achieved impressive performance for end-to-end autonomous driving, yet existing approaches are primarily designed for an individual single autonomous driving agent with limited support for cooperative perception, reasoning, and planning.

We present Cooperative Multi-agent Unified Driving with Reasoning (CMU-Drive), a closed-loop end-to-end benchmark for evaluating cooperative autonomous driving with multiple connected autonomous vehicles (CAVs) operating in safety-critical driving scenarios with background traffic participants.

We further propose Vehicle-to-Vehicle Vision-Language-Action (V2V-VLA), a cooperative VLA model that integrates cooperative driving into a single forward pass by jointly generating driving actions, future waypoints, language reasoning, and communication policies.

Experiments on CMU-Drive establish the first benchmark and baseline for cooperative VLA driving and provide a foundation for future research on multi-agent, closed-loop, end-to-end cooperative autonomous driving.

Our code, benchmark, and model checkpoint will be publicly released to facilitate open-source research.Subjects: Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Robotics (cs.RO) Cite as: arXiv:2608.07621 [cs.AI] (or arXiv:2608.07621v1 [cs.

AI] for this version) https://doi.org/10.48550/arXiv.2608.

07621 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Hsu-Kuang Chiu [view email] [v1] Fri, 7 Aug 2026 09:00:39 UTC (1,117 KB) Full-text links: Access Paper: View a PDF of the paper titled CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models, by Hsu-kuang Chiu and 1 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: cs.

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