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DC Field | Value | Language |
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dc.citation.startPage | 106651 | - |
dc.citation.title | MECHANICAL SYSTEMS AND SIGNAL PROCESSING | - |
dc.citation.volume | 140 | - |
dc.contributor.author | Lee, Junhwa | - |
dc.contributor.author | Lee, Kyoung-Chan | - |
dc.contributor.author | Jeong, Seunghoo | - |
dc.contributor.author | Lee, Young-Joo | - |
dc.contributor.author | Sim, Sung-Han | - |
dc.date.accessioned | 2023-12-21T17:37:04Z | - |
dc.date.available | 2023-12-21T17:37:04Z | - |
dc.date.created | 2020-02-12 | - |
dc.date.issued | 2020-06 | - |
dc.description.abstract | Civil infrastructures experience long-term deflection as a result of persistent and transitory loadings, including self-weight, pre-stress, traffic, temperature variation, and stress redistributions due to damage. Thus, long-term displacement is an important safety indicator that can be widely employed in structural health monitoring. However, its measurement is challenging because of the errors induced by the ego-motion of sensors. Researchers have attempted to compensate for the motion-induced error in computer vision-based displacement measurement methods for full-scale civil structures by using fixed objects in the background. Because remotely located objects cannot fully provide six degrees-of-freedom (6-DOF) camera motions, further developments are necessary for complete error compensation. This paper proposes a long-term displacement measurement strategy that uses computer vision-based ego-motion compensation. The proposed system consists of main and sub-cameras attached to each other. While the main camera employs the conventional computer vision-based method for displacement measurement, the sub-camera measures the ego-motions of the dual-camera system from which the motion-induced errors are estimated and compensated for. The proposed long-term displacement measurement algorithm was numerically validated, and the sub-camera was found to provide a noticeable error compensation. A laboratory-scale test showed that the motion-induced error was reduced from 44.1 mm to 1.1 mm. A field application conducted upon a newly constructed railway bridge provided continuous long-term displacement measurement data, which were consistent with LiDAR-based displacement measurements and numerical predictions. (C) 2020 Elsevier Ltd. All rights reserved. | - |
dc.identifier.bibliographicCitation | MECHANICAL SYSTEMS AND SIGNAL PROCESSING, v.140, pp.106651 | - |
dc.identifier.doi | 10.1016/j.ymssp.2020.106651 | - |
dc.identifier.issn | 0888-3270 | - |
dc.identifier.scopusid | 2-s2.0-85078704105 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/31139 | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0888327020300376?via%3Dihub | - |
dc.identifier.wosid | 000526721400012 | - |
dc.language | 영어 | - |
dc.publisher | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD | - |
dc.title | Long-term displacement measurement of full-scale bridges using camera ego-motion compensation | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Engineering, Mechanical | - |
dc.relation.journalResearchArea | Engineering | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Computer vision | - |
dc.subject.keywordAuthor | Long-term displacement | - |
dc.subject.keywordAuthor | Motion-independent measurement | - |
dc.subject.keywordAuthor | Camera ego-motion compensation | - |
dc.subject.keywordPlus | VISION-BASED SYSTEM | - |
dc.subject.keywordPlus | ACCELERATION | - |
dc.subject.keywordPlus | DEFLECTION | - |
dc.subject.keywordPlus | SENSORS | - |
dc.subject.keywordPlus | STRAIN | - |
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