Improved YOLOv5 network for real-time multi-scale traffic sign detection

Traffic sign detection is a challenging task for the unmanned driving system, especially for the detection of multi-scale targets and the real-time problem of detection. In the traffic sign detection process, the scale of the targets changes greatly, which will have a certain impact on the detection...

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Veröffentlicht in:	Neural computing & applications Jg. 35; H. 10; S. 7853 - 7865
Hauptverfasser:	Wang, Junfan, Chen, Yi, Dong, Zhekang, Gao, Mingyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.04.2023 Springer Nature B.V
Schlagworte:	Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data augmentation Data Mining and Knowledge Discovery Datasets Feature extraction Feature maps Image Processing and Computer Vision Modules Original Article Probability and Statistics in Computer Science Real time Target detection Traffic control Traffic signs Data augmentation YOLOv5 Multi-scale target AF-FPN
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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