386 122

Full metadata record

DC FieldValueLanguage
dc.contributor.author조병완-
dc.date.accessioned2019-12-07T23:58:26Z-
dc.date.available2019-12-07T23:58:26Z-
dc.date.issued2018-05-
dc.identifier.citationSUSTAINABILITY, v. 10, no. 6, Article no. 1785en_US
dc.identifier.issn2071-1050-
dc.identifier.urihttps://www.mdpi.com/2071-1050/10/6/1785-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/118559-
dc.description.abstractBridges are exposed to various kinds of external loads, including vehicle and hurricanes, during their life cycle. These loads cause structural damage, which may lead to bridge collapse. To ensure bridge safety, it is essential to periodically inspect the physical and functional conditions of bridges. The displacement responses of a bridge have significance in determining the structural behaviors and assessing their safety. In recent years, many researchers have been studying bridge displacement measurements using image processing technologies. Image-processing-based displacement measurements using a computer analysis system can quickly assess bridge conditions and, thus, can be used to enhance the reliability of bridges with high accuracy. This paper presents a method based on multiple-image processing bridge displacement measurements that includes enhanced robustness to image rotation. This study applies template matching and a homography matrix to measure the displacement that works well regardless of the angle between the smartphone camera and the target.en_US
dc.language.isoen_USen_US
dc.publisherMDPIen_US
dc.subjectbridgeen_US
dc.subjectdisplacement measurementen_US
dc.subjecttemplate matchingen_US
dc.subjecthomography matrixen_US
dc.subjectsmartphone cameraen_US
dc.titleComputer Vision-Based Bridge Displacement Measurements Using Rotation-Invariant Image Processing Techniqueen_US
dc.typeArticleen_US
dc.relation.no6-
dc.relation.volume10-
dc.identifier.doi10.3390/su10061785-
dc.relation.page1-1-
dc.relation.journalSUSTAINABILITY-
dc.contributor.googleauthorJo, Byung-Wan-
dc.contributor.googleauthorLee, Yun-Sung-
dc.contributor.googleauthorJo, Jun Ho-
dc.contributor.googleauthorKhan, Rana Muhammad Asad-
dc.relation.code2018015472-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING-
dc.identifier.pidbwcho-


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE