Art

J-GLOBAL ID：202402246434178533   Reference number：24A0100442

YOLOv5-TS: Detecting traffic signs in real-time

YOLOv5-TS:実時間における交通標識の検出【JST・京大機械翻訳】

Author (6)： Shen Jiquan (1School of Software, Henan Polytechnic University, Jiaozuo, China) ,  Shen Jiquan (2Anyang Institute of Technology, Anyang, China) ,  Zhang Ziyang (1School of Software, Henan Polytechnic University, Jiaozuo, China) ,  Zhang Ziyang (3School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China) ,  Luo Junwei (1School of Software, Henan Polytechnic University, Jiaozuo, China) ,  Zhang Xiaohong (1School of Software, Henan Polytechnic University, Jiaozuo, China)
Material： Frontiers in Physics (Web)
Volume： 11  Page： 1297828  Publication year： 2023 
JST Material Number： U7092A  ISSN： 2296-424X  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： Traffic sign detection plays a...

Thesaurus term： *detection ,...
Semi thesaurus term： マルチスケール ,...

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Author keywords (5)： multi-scale feature fusion ,  YOLOv5 ,  object detection ,  traffic sign detection ,  k-means++

JST classification (1)： Pattern recognition  (JE07000S)

Reference (51)：

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• LiX, XieZ, DengX, WuY, PiY. Traffic sign detection based on improved faster r-cnn for autonomous driving. The J Supercomputing (2022) 78:7982-8002. doi: 10.1007/s11227-021-04230-4
• HanC, GaoG, ZhangY. Real-time small traffic sign detection with revised faster-rcnn. Multimedia Tools Appl (2019) 78:13263-78. doi: 10.1007/s11042-018-6428-0
• SongY, FanR, HuangS, ZhuZ, TongR. A three-stage real-time detector for traffic signs in large panoramas. Comput Vis Media (2019) 5:403-16. doi: 10.1007/s41095-019-0152-1
• RenS, HeK, GirshickR, SunJ. Faster r-cnn: towards real-time object detection with region proposal networks. Adv Neural Inf Process Syst (2015) 28. doi: 10.1007/s41095-019-0152-1

Terms in the title (3)： TS ,  実時間 ,  交通標識