MonOri: Orientation-Guided PnP for Monocular 3-D Object Detection

Monocular 3-D object detection is a challenging task in the field of autonomous driving and has made great progress. However, current monocular image methods tend to incorporate additional information such as pseudolabels to improve algorithm performance while overlooking the geometric relationship...

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Vydané v:	IEEE transaction on neural networks and learning systems Ročník 36; číslo 10; s. 19068 - 19080
Hlavní autori:	Yao, Hongdou, Han, Pengfei, Chen, Jun, Wang, Zheng, Qiu, Yansheng, Wang, Xiao, wang, Yimin, Chai, Xiaoyu, Cao, Chenglong, Jin, Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.10.2025
Predmet:	3-D object detection Accuracy Computational modeling Convolution Data models Depth measurement Feature extraction keypoints’ selection monocular image Multimedia communication Object detection occlusion object orientation guided Prediction algorithms Three-dimensional displays
ISSN:	2162-237X, 2162-2388, 2162-2388
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