Pseudo-Mono for Monocular 3D Object Detection in Autonomous Driving

Current monocular 3D object detection algorithms generally suffer from inaccurate depth estimation, which leads to reduction of detection accuracy. The depth error from image-to-image generation for the stereo view is insignificant compared with the gap in single-image generation. Therefore, a novel...

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Bibliographic Details
Published in:	IEEE transactions on circuits and systems for video technology Vol. 33; no. 8; pp. 3962 - 3975
Main Authors:	Tao, Chongben, Cao, Jiecheng, Wang, Chen, Zhang, Zufeng, Gao, Zhen
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	3D object detection Ablation Algorithms Decoding Feature extraction Feature maps Heuristic algorithms Image enhancement Image processing multi-scale feature Object detection Object recognition sparse anchor point stereo images Three-dimensional displays transformer Transformers Visualization
ISSN:	1051-8215, 1558-2205
Online Access:	Get full text
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