UAV image defect detection method for steel structure of high-speed railway bridge girder-Reference-Cited by-同舟云学术

UAV image defect detection method for steel structure of high-speed railway bridge girder

Published:2022-10-13 Issue: Volume: Page:
ISSN:
Container-title:2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)
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Author:

Mu Zonghan¹,Qin Yong²,Yu Chongchong³,Yang Huaizhi⁴,Qiu Ninghai⁵

Affiliation:

1. BJTU,Institute State Key Lab of Rail Traffic Control & Safety,Department School of Traffic and Transportation,Beijing,China

2. Beijing Jiaotong University,Institute State Key Lab of Rail Traffic Control & Safety,Beijing,China

3. Beijing Technology and Business University,School of Artificial Intelligence,Beijing,China

4. Beijing-Shanghai High-Speed Railway Company Limited,Beijing,China

5. Beijing Yonlink Information Technology Co., LTD,Beijing,China

Publisher

IEEE

Link

Reference26 articles.

1. Convolutional neural network-based recognition of missing images of high-strength bolts in railroad bridges;zhao;China Railway Science,2018

2. Orbital image localization algorithm applying YOLO deep convolutional network;zhang;Railway Standard Design,2020

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