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Issue title: The 6th International Multi-Conference on Engineering and Technology Innovation 2017 (IMETI2017)
Guest editors: Wen-Hsiang Hsieh
Article type: Research Article
Authors: Lee, Jae Kanga | Kim, Jung Okb; * | Park, Seong Jinc
Affiliations: [a] College of Engineering, Georgia Institute of Technology, Atlanta, USA | [b] Institute of Construction and Environmental Engineering, Seoul National University, Seoul, Republic of Korea | [c] Sistech Cor., Seoul, Republic of Korea
Correspondence: [*] Corresponding author. Jung Ok Kim, Institute of Construction and Environmental Engineering, Seoul National University, Seoul, Republic of Korea. Tel.: +82 2 8801596; E-mail: [email protected].
Abstract: This study reviewed efficient bridge management using UAVs (Unmanned Arial Vehicles) that have much potential for facility maintenance such as the possibility of regular inspection on inaccessible parts of bridges, easy operation regardless of the operators’ specialty, and economic maintenance. For this study, images were obtained from a UAV and a 3D viewer was created with them for the work efficiency of bridge inspectors, so that the inspectors can see and check inaccessible areas regardless of inspector’s location. It compared various existing inspection methods for problems such as cracks, efflorescence and leakage with the UAV inspection method to analyze the work efficiency as well as sustainable economic benefit. The main purpose of this study was to figure out whether the proposed inspection using the images from the UAV and 3D viewer can replace the existing inspection methods that cannot be performed easily and analyze the economic benefit of the new method. The study result showed that the UAV image-based bridge maintenance and inspection is possible even though it was found inefficient when images of uneven quality were provided depending on operation of the UAV. Therefore, a UAV operation manual that can help generate images of even quality must be produced.
Keywords: UAV photogrammetry, bridge maintenance and inspection, inspection efficiency, 3D viewer
DOI: 10.3233/JIFS-169873
Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 967-983, 2019
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