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The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAV
Joint Authors
Zhao, Chao
Zhang, Tianyu
Peng, Xiong
Zhong, Xingu
Chen, Y. Frank
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-07
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Bridge defects are important indicator for the bridge safety assessment.
Considering the cost and inefficiency of the traditional method, the UAV system applied for bridge crack inspection is a better choice.
Therefore, we have configured a bridge inspection UAV system with SLR camera, laser rangefinder.
First, we have carried an evaluation experiment to determine the distance range of stable imaging for planning the safer bridge inspection route based on the special UAV system.
Then, the crack recognition method combining neural network and support vector machine is used to locate and extract the bridge cracks, and then, the actual cracks are calculated according to the optical principle.
Finally, a case study of the Xiangjiang-River bridge inspection is carried out to verify the feasibility of bridge defects recognition based on this UAV system, achieving above 90% in the crack width recognition, which provides a better platform for bridge inspection.
American Psychological Association (APA)
Peng, Xiong& Zhong, Xingu& Zhao, Chao& Chen, Y. Frank& Zhang, Tianyu. 2020. The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAV. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1123039
Modern Language Association (MLA)
Peng, Xiong…[et al.]. The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAV. Advances in Civil Engineering No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1123039
American Medical Association (AMA)
Peng, Xiong& Zhong, Xingu& Zhao, Chao& Chen, Y. Frank& Zhang, Tianyu. The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAV. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1123039
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1123039