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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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 36; H. 10; S. 19068 - 19080
Hauptverfasser:	Yao, Hongdou, Han, Pengfei, Chen, Jun, Wang, Zheng, Qiu, Yansheng, Wang, Xiao, wang, Yimin, Chai, Xiaoyu, Cao, Chenglong, Jin, Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.10.2025
Schlagworte:	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
Online-Zugang:	Volltext
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