Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최영진 | - |
dc.date.accessioned | 2023-05-19T04:59:08Z | - |
dc.date.available | 2023-05-19T04:59:08Z | - |
dc.date.issued | 2009-11 | - |
dc.identifier.citation | Automation in Construction, v. 18, NO. 7, Page. 929-941 | - |
dc.identifier.issn | 0926-5805;1872-7891 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0926580509000600?via%3Dihub | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/180912 | - |
dc.description.abstract | A robotic system for inspecting the safety status of bridges is proposed in this paper. Currently, most bridge inspections have been done manually by counting the number of cracks, measuring their lengths and widths and taking pictures of them. Thus the quality and reliability of diagnosis reports on bridges are greatly dependent upon the diligence and education of inspection workers. The robotic inspection system to be proposed consists of three parts: a specially designed car, a robot mechanism and control system for mobility and a machine vision system for automatic detection of cracks. Ultimately, this robot system has been developed for gathering accurate data in order to record the biennial changes of the bridge's safety circumstances as well as check the safety status of bridges. We also demonstrate the effectiveness of the suggested crack detecting and tracing algorithms through experiments on a real bridge crack inspection. (C) 2009 Elsevier B.V. All rights reserved. | - |
dc.description.sponsorship | This work was supported in part by the Bridge Inspection Robot Development Interface Program of the Ministry of Construction and Transportation and in part by a Korea Science and Engineering Foundation (KOSEF) grant funded by the Korea government (MEST)(R01-2008-000-20631), and in part by the Ministry of Knowledge Economy(MKE) and Korea Industrial Technology Foundation (KOTEF) through the Human Resource Training Project for Strategic Technology and in part by the Gyeonggi Regional Research Center Program and in part by the Research fund of HYU (HYU-2009-T), Republic of Korea. | - |
dc.language | en | - |
dc.publisher | Elsevier BV | - |
dc.subject | Bridge inspection | - |
dc.subject | Robot system | - |
dc.subject | Machine vision | - |
dc.subject | System integration | - |
dc.title | Bridge inspection robot system with machine vision | - |
dc.type | Article | - |
dc.relation.no | 7 | - |
dc.relation.volume | 18 | - |
dc.identifier.doi | 10.1016/j.autcon.2009.04.003 | - |
dc.relation.page | 929-941 | - |
dc.relation.journal | Automation in Construction | - |
dc.contributor.googleauthor | Oh, Je-Keun | - |
dc.contributor.googleauthor | Jang, Giho | - |
dc.contributor.googleauthor | Oh, Semin | - |
dc.contributor.googleauthor | Lee, Jeong Ho | - |
dc.contributor.googleauthor | Yi, Byung-Ju | - |
dc.contributor.googleauthor | Moon, Young Shik | - |
dc.contributor.googleauthor | Lee, Jong Seh | - |
dc.contributor.googleauthor | Choi, Youngjin | - |
dc.sector.campus | E | - |
dc.sector.daehak | 공학대학 | - |
dc.sector.department | 로봇공학과 | - |
dc.identifier.pid | cyj | - |
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