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Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving
Feb. 29, 2024, 5:46 a.m. | Shunli Ren, Zixing Lei, Zi Wang, Mehrdad Dianati, Yafei Wang, Siheng Chen, Wenjun Zhang
cs.CV updates on arXiv.org arxiv.org
Abstract: Cooperative perception can significantly improve the perception performance of autonomous vehicles beyond the limited perception ability of individual vehicles by exchanging information with neighbor agents through V2X communication. However, most existing work assume ideal communication among agents, ignoring the significant and common \textit{interruption issues} caused by imperfect V2X communication, where cooperation agents can not receive cooperative messages successfully and thus fail to achieve cooperative perception, leading to safety risks. To fully reap the benefits of …
abstract agents arxiv autonomous autonomous driving autonomous vehicles beyond communication cs.ai cs.cv cs.ro driving information interruption perception performance through type vehicles work
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