MonoDCN: Monocular 3D object detection based on dynamic convolution

MonoDCN: Monocular 3D object detection based on dynamic convolution

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3D object detection is vital in the environment perception of autonomous driving. The current monocular 3D object detection technology mainly uses RGB images and pseudo radar point clouds as input. The methods of taking RGB images as input need to learn with geometric constraints and ignore the dept...

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Bibliographic Details
Main Authors: Shenming Qu, Xinyu Yang, Yiming Gao, Shengbin Liang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531824/?tool=EBI

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