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Zimmer et al., 2022 - Google Patents

A survey of robust 3d object detection methods in point clouds

Zimmer et al., 2022

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Document ID
2791716969715663289
Author
Zimmer W
Ercelik E
Zhou X
Ortiz X
Knoll A
Publication year
Publication venue
arXiv preprint arXiv:2204.00106

External Links

Snippet

The purpose of this work is to review the state-of-the-art LiDAR-based 3D object detection methods, datasets, and challenges. We describe novel data augmentation methods, sampling strategies, activation functions, attention mechanisms, and regularization methods …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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