May 8, 2024, 4:45 a.m. | Zhiwei Li, Bozhen Zhang, Lei Yang, Tianyu Shen, Nuo Xu, Ruosen Hao, Weiting Li, Tao Yan, Huaping Liu

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.03971v1 Announce Type: new
Abstract: V2X cooperation, through the integration of sensor data from both vehicles and infrastructure, is considered a pivotal approach to advancing autonomous driving technology. Current research primarily focuses on enhancing perception accuracy, often overlooking the systematic improvement of accident prediction accuracy through end-to-end learning, leading to insufficient attention to the safety issues of autonomous driving. To address this challenge, this paper introduces the UniE2EV2X framework, a V2X-integrated end-to-end autonomous driving system that consolidates key driving modules …

abstract accuracy arxiv attention autonomous autonomous driving autonomous driving technology cs.cv cs.ma current data driving improvement infrastructure integration perception pivotal prediction research sensor technology through type vehicles

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