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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Vydané v:	IEEE transactions on circuits and systems for video technology Ročník 33; číslo 8; s. 3962 - 3975
Hlavní autori:	Tao, Chongben, Cao, Jiecheng, Wang, Chen, Zhang, Zufeng, Gao, Zhen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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