March 18, 2024, 4:45 a.m. | Yingqi Tang, Zhaotie Meng, Guoliang Chen, Erkang Cheng

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.10353v1 Announce Type: new
Abstract: The field of autonomous driving has attracted considerable interest in approaches that directly infer 3D objects in the Bird's Eye View (BEV) from multiple cameras. Some attempts have also explored utilizing 2D detectors from single images to enhance the performance of 3D detection. However, these approaches rely on a two-stage process with separate detectors, where the 2D detection results are utilized only once for token selection or query initialization. In this paper, we present a …

3d object 3d object detection arxiv cameras cs.cv detection multiple object type

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