The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAV

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 rangefi...

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Main Authors: Xiong Peng, Xingu Zhong, Chao Zhao, Y. Frank Chen, Tianyu Zhang
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2020/8811649
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author Xiong Peng
Xingu Zhong
Chao Zhao
Y. Frank Chen
Tianyu Zhang
author_facet Xiong Peng
Xingu Zhong
Chao Zhao
Y. Frank Chen
Tianyu Zhang
author_sort Xiong Peng
collection DOAJ
description 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.
format Article
id doaj-art-7b4447e2a0d34d30aa0739fb1ed8026a
institution Kabale University
issn 1687-8086
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language English
publishDate 2020-01-01
publisher Wiley
record_format Article
series Advances in Civil Engineering
spelling doaj-art-7b4447e2a0d34d30aa0739fb1ed8026a2025-08-20T03:35:03ZengWileyAdvances in Civil Engineering1687-80861687-80942020-01-01202010.1155/2020/88116498811649The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAVXiong Peng0Xingu Zhong1Chao Zhao2Y. Frank Chen3Tianyu Zhang4Hunan University of Science and Technology, Xiangtan 411201, ChinaHunan Provincial Key Laboratory of Structural Engineering for Wind Resistant and Vibration Control, Hunan University of Science and Technology, Xiangtan 411201, ChinaHunan Provincial Key Laboratory of Structural Engineering for Wind Resistant and Vibration Control, Hunan University of Science and Technology, Xiangtan 411201, ChinaDepartment of Civil Engineering, Pennsylvania State University, Middletown, PA, USAHunan Provincial Key Laboratory of Structural Engineering for Wind Resistant and Vibration Control, Hunan University of Science and Technology, Xiangtan 411201, ChinaBridge 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.http://dx.doi.org/10.1155/2020/8811649
spellingShingle Xiong Peng
Xingu Zhong
Chao Zhao
Y. Frank Chen
Tianyu Zhang
The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAV
Advances in Civil Engineering
title The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAV
title_full The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAV
title_fullStr The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAV
title_full_unstemmed The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAV
title_short The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAV
title_sort feasibility assessment study of bridge crack width recognition in images based on special inspection uav
url http://dx.doi.org/10.1155/2020/8811649
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