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: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/8811649 |
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| _version_ | 1849410553912492032 |
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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 1687-8094 |
| 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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