April 1, 2024, 4:44 a.m. | Ruining Yang, Yuqi Peng

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.19893v1 Announce Type: new
Abstract: Autonomous driving has garnered significant attention as a key research area within artificial intelligence. In the context of autonomous driving scenarios, the varying physical locations of objects correspond to different levels of danger. However, conventional evaluation criteria for automatic driving object detection often overlook the crucial aspect of an object's physical location, leading to evaluation results that may not accurately reflect the genuine threat posed by the object to the autonomous driving vehicle. To enhance …

arxiv autonomous autonomous driving criterion cs.cv datasets driving evaluation location type

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