무인기 기반의 교량 균열 탐지를 위한 타당성 연구 A Feasibility Study for Detection of Bridge Crack Based on UAV

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This paper deals with the study of the detection and quantification of cracks in bridge structures using image data obtained by using unmanned aerial vehicle (UAV). In general, an UAV is influenced by fly environment such as a gust of wind and self-excitation during bridge inspection. Therefore, a feasibility study is required in order to verify the performance in dynamical environment. In this study, a 2D motion jig was fabricated to simulate the dynamical environment. And a steel and two concrete crack specimens were prepared. To detect crack of the specimens, improved image processing techniques (IPTs) are proposed. It is aimed to correct the image distortion due to the vibration that can occur in the appearance of the bridge using the drone. Performances of the technique were evaluated through lab-test. Finally, improved IPTs are applied to the detected regions to quantify cracks at 100 micrometers. The non-contact detection technology of bridge damage proposed in this study can be applied to the actual bridge inspection field and it is expected that the economic and technical efficiency will be high.
Publisher
한국소음진동공학회
Issue Date
2018
Language
Korean
Keywords

Crack Detection; Quantification; UAV; Image Processing; Image Correction; 균열 검출; 정량화; 무인기; 영상처리; 영상 보정

Citation

한국소음진동공학회논문집, v.28, no.1, pp.110 - 117

ISSN
1598-2785
DOI
10.5050/KSNVE.2018.28.1.110
URI
http://hdl.handle.net/10203/246989
Appears in Collection
CE-Journal Papers(저널논문)
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