DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ma, Zhanxiong | ko |
dc.contributor.author | Choi, Jaemook | ko |
dc.contributor.author | Liu, Peipei | ko |
dc.contributor.author | Sohn, Hoon | ko |
dc.date.accessioned | 2022-06-21T10:00:39Z | - |
dc.date.available | 2022-06-21T10:00:39Z | - |
dc.date.created | 2022-06-21 | - |
dc.date.created | 2022-06-21 | - |
dc.date.issued | 2022-08 | - |
dc.identifier.citation | AUTOMATION IN CONSTRUCTION, v.140 | - |
dc.identifier.issn | 0926-5805 | - |
dc.identifier.uri | http://hdl.handle.net/10203/297006 | - |
dc.description.abstract | Structural displacement monitoring is essential because displacement can provide critical information regarding the health condition of civil structures. However, the precise estimation of structural displacement remains a challenge. This paper describes a displacement estimation technique that fuses asynchronous acceleration and vision measurements at different sampling rates. A hybrid computer vision (CV) algorithm and an adaptive multirate Kalman filter are integrated to efficiently estimate high-sampling displacement from low-sampling vision measurement and high-sampling acceleration measurement. An initial calibration algorithm is proposed to automatically determine active pixels and two scale factors required in the hybrid CV algorithm without any prior knowledge or ad-hoc thresholding. The proposed technique was experimentally validated and highsampling displacements were accurately estimated in real-time with less than 1.5 mm error, indicating the potential of the proposed technique for practical applications in long-term continuous structural displacement monitoring. | - |
dc.language | English | - |
dc.publisher | ELSEVIER | - |
dc.title | Structural displacement estimation by fusing vision camera and accelerometer using hybrid computer vision algorithm and adaptive multi-rate Kalman filter | - |
dc.type | Article | - |
dc.identifier.wosid | 000801887900003 | - |
dc.identifier.scopusid | 2-s2.0-85129980425 | - |
dc.type.rims | ART | - |
dc.citation.volume | 140 | - |
dc.citation.publicationname | AUTOMATION IN CONSTRUCTION | - |
dc.identifier.doi | 10.1016/j.autcon.2022.104338 | - |
dc.contributor.localauthor | Sohn, Hoon | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Displacement estimation | - |
dc.subject.keywordAuthor | Accelerometer | - |
dc.subject.keywordAuthor | Data fusion | - |
dc.subject.keywordAuthor | Vision camera | - |
dc.subject.keywordAuthor | Feature-matching algorithm | - |
dc.subject.keywordAuthor | Phase-based optical flow algorithm | - |
dc.subject.keywordAuthor | Adaptive multi-rate Kalman filter | - |
dc.subject.keywordPlus | MODAL IDENTIFICATION | - |
dc.subject.keywordPlus | DAMAGE DETECTION | - |
dc.subject.keywordPlus | OPTICAL-FLOW | - |
dc.subject.keywordPlus | BRIDGE | - |
dc.subject.keywordPlus | ACCELERATION | - |
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