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Foreign Objects Intrusion Detection Using Millimeter Wave Radar on Railway Crossings

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成果类型:
会议论文
作者:
Cai, Huiling;Li, Fei;Gao, Dianzhu;Yang, Yingze;Li, Shuo;...
通讯作者:
Li, Shuo(lishuo@csust.edu.cn)
作者机构:
[Cai, Huiling; Yang, Yingze] Central South University, School of Computer Science and Engineering, Changsha, China
[Li, Fei; Gao, Dianzhu; Qin, Aina; Huang, Zhiwu] Central South University, School of Automation, Changsha, China
[Li, Shuo] School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China
[Gao, Kai] College of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha, China
Big Date Institute, Central South University, Changsha, China
语种:
英文
期刊:
IEEE International Conference on Systems, Man, and Cybernetics. Conference Proceedings
ISSN:
1062-922X
年:
2020
卷:
2020-October
页码:
2776-2781
会议名称:
2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020
会议时间:
October 11, 2020 - October 14, 2020
会议地点:
Toronto, ON, Canada
机构署名:
本校为其他机构
院系归属:
汽车与机械工程学院
电气与信息工程学院
摘要:
The safety of railway crossings are of great important for rail and road transportation, because serious accidents occur in this area. Therefore, it is necessary to carry out foreign objects detection on railway crossings in order to improve the safety. Traditionally, video surveillance is one such solution, but it suffer from weather and illumination conditions. Under the hard environment conditions, the image of railway crossings is failed to capture by the camera. We propose a foreign objects detection system based on millimeter wave radar w...

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