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End-to-End Autonomous Driving through V2X Cooperation
April 2, 2024, 7:48 p.m. | Haibao Yu, Wenxian Yang, Jiaru Zhong, Zhenwei Yang, Siqi Fan, Ping Luo, Zaiqing Nie
cs.CV updates on arXiv.org arxiv.org
Abstract: Cooperatively utilizing both ego-vehicle and infrastructure sensor data via V2X communication has emerged as a promising approach for advanced autonomous driving. However, current research mainly focuses on improving individual modules, rather than taking end-to-end learning to optimize final planning performance, resulting in underutilized data potential. In this paper, we introduce UniV2X, a pioneering cooperative autonomous driving framework that seamlessly integrates all key driving modules across diverse views into a unified network. We propose a sparse-dense …
arxiv autonomous autonomous driving cs.cv cs.ma cs.ro driving through type
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