May 8, 2024, 4:45 a.m. | Bingquan Zhou, Jie Jiang

cs.CV updates on

arXiv:2405.03995v1 Announce Type: new
Abstract: Object detection plays a critical role in autonomous driving, where accurately and efficiently detecting objects in fast-moving scenes is crucial. Traditional frame-based cameras face challenges in balancing latency and bandwidth, necessitating the need for innovative solutions. Event cameras have emerged as promising sensors for autonomous driving due to their low latency, high dynamic range, and low power consumption. However, effectively utilizing the asynchronous and sparse event data presents challenges, particularly in maintaining low latency and …

abstract arxiv autonomous autonomous driving bandwidth cameras challenges detection driving event face latency moving object objects role sensors solutions survey type

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