DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Kiyoung | ko |
dc.contributor.author | Sohn, Hoon | ko |
dc.date.accessioned | 2016-11-09T06:22:46Z | - |
dc.date.available | 2016-11-09T06:22:46Z | - |
dc.date.created | 2016-06-17 | - |
dc.date.created | 2016-06-17 | - |
dc.date.issued | 2017-01 | - |
dc.identifier.citation | MECHANICAL SYSTEMS AND SIGNAL PROCESSING, v.82, pp.339 - 355 | - |
dc.identifier.issn | 0888-3270 | - |
dc.identifier.uri | http://hdl.handle.net/10203/213843 | - |
dc.description.abstract | This paper presents a smoothing based Kalman filter to estimate dynamic displacement in real-time by fusing the velocity measured from a laser Doppler vibrometer (LDV) and the displacement from a light detection and ranging (LiDAR). LiDAR can measure displacement based on the time-of-flight information or the phase-shift of the laser beam reflected off form a target surface, but it typically has a high noise level and a low sampling rate. On the other hand, LDV primarily measures out-of-plane velocity of a moving target, and displacement is estimated by numerical integration of the measured velocity. Here, the displacement estimated by LDV suffers from integration error although LDV can achieve a lower noise level and a much higher sampling rate than LiDAR. The proposed data fusion technique estimates high-precision and high-sampling rate displacement by taking advantage of both LiDAR and LDV measurements and overcomes their limitations by adopting a real-time smoothing based Kalman filter. To verify the performance of the proposed dynamic displacement estimation technique, a series of lab-scale tests are conducted under various loading conditions. (C) 2016 Elsevier Ltd. All rights reserved. | - |
dc.language | English | - |
dc.publisher | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD | - |
dc.subject | TERRESTRIAL LASER SCANNER | - |
dc.subject | DOPPLER VIBROMETRY | - |
dc.subject | SPECKLE NOISE | - |
dc.subject | TOTAL STATION | - |
dc.subject | GPS | - |
dc.subject | DEFLECTIONS | - |
dc.subject | BRIDGE | - |
dc.subject | RECONSTRUCTION | - |
dc.subject | FREQUENCIES | - |
dc.subject | ACCURACY | - |
dc.title | Dynamic displacement estimation by fusing LDV and LiDAR measurements via smoothing based Kalman filtering | - |
dc.type | Article | - |
dc.identifier.wosid | 000384397500022 | - |
dc.identifier.scopusid | 2-s2.0-84975126980 | - |
dc.type.rims | ART | - |
dc.citation.volume | 82 | - |
dc.citation.beginningpage | 339 | - |
dc.citation.endingpage | 355 | - |
dc.citation.publicationname | MECHANICAL SYSTEMS AND SIGNAL PROCESSING | - |
dc.identifier.doi | 10.1016/j.ymssp.2016.05.027 | - |
dc.contributor.localauthor | Sohn, Hoon | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Dynamic displacement | - |
dc.subject.keywordAuthor | LDV | - |
dc.subject.keywordAuthor | LiDAR | - |
dc.subject.keywordAuthor | Kalman filter | - |
dc.subject.keywordAuthor | Data fusion | - |
dc.subject.keywordAuthor | Smoothing | - |
dc.subject.keywordPlus | TERRESTRIAL LASER SCANNER | - |
dc.subject.keywordPlus | DOPPLER VIBROMETRY | - |
dc.subject.keywordPlus | SPECKLE NOISE | - |
dc.subject.keywordPlus | TOTAL STATION | - |
dc.subject.keywordPlus | GPS | - |
dc.subject.keywordPlus | DEFLECTIONS | - |
dc.subject.keywordPlus | BRIDGE | - |
dc.subject.keywordPlus | RECONSTRUCTION | - |
dc.subject.keywordPlus | FREQUENCIES | - |
dc.subject.keywordPlus | ACCURACY | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.