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HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View
March 14, 2024, 4:46 a.m. | Yiming Wu, Ruixiang Li, Zequn Qin, Xinhai Zhao, Xi Li
cs.CV updates on arXiv.org arxiv.org
Abstract: Vision-based Bird's Eye View (BEV) representation is an emerging perception formulation for autonomous driving. The core challenge is to construct BEV space with multi-camera features, which is a one-to-many ill-posed problem. Diving into all previous BEV representation generation methods, we found that most of them fall into two types: modeling depths in image views or modeling heights in the BEV space, mostly in an implicit way. In this work, we propose to explicitly model heights …
3d object 3d object detection abstract arxiv autonomous autonomous driving bird challenge construct core cs.cv data detection driving extra features modeling object perception representation space type view vision
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