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Remote Indoor Construction Progress Monitoring Using Extended Reality

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dc.contributor.authorKhairadeen Ali, Ahmed-
dc.contributor.authorLee, One Jae-
dc.contributor.authorLee, Doyeop-
dc.contributor.authorPark, Chansik-
dc.date.accessioned2021-11-26T07:40:18Z-
dc.date.available2021-11-26T07:40:18Z-
dc.date.issued2021-02-
dc.identifier.issn2071-1050-
dc.identifier.issn2071-1050-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/51902-
dc.description.abstractConstruction Progress monitoring noticed recent expansions by adopting vision and laser technologies. However, inspectors need to personally visit the job-site or wait for a time gap to process data captured from the construction site to use for inspection. Recent inspection methods lacks automation and real-time data exchange, therefore, it needs inspection manpower for each job-site, the health risk of physical interaction between workers and inspector, loss of energy, data loss, and time consumption. To address this issue, a near real-time construction work inspection system called iVR is proposed; this system integrates 3D scanning, extended reality, and visual programming to visualize interactive onsite inspection for indoor activities and provide numeric data. The iVR comprises five modules: iVR-location finder (finding laser scanner located in the construction site) iVR-scan (capture point cloud data of job-site indoor activity), iVR-prepare (processes and convert 3D scan data into a 3D model), iVR-inspect (conduct immersive visual reality inspection in construction office), and iVR-feedback (visualize inspection feedback from job-site using augmented reality). An experimental lab test is conducted to verify the applicability of iVR process; it successfully exchanges required information between construction job-site and office in a specific time. This system is expected to assist Engineers and workers in quality assessment, progress assessments, and decision-making which can realize a productive and practical communication platform, unlike conventional monitoring or data capturing, processing, and storage methods, which involve storage, compatibility and time-consumption issues.-
dc.format.extent24-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI-
dc.titleRemote Indoor Construction Progress Monitoring Using Extended Reality-
dc.typeArticle-
dc.identifier.doi10.3390/su13042290-
dc.identifier.bibliographicCitationSUSTAINABILITY, v.13, no.4, pp 1 - 24-
dc.description.isOpenAccessN-
dc.identifier.wosid000624807700001-
dc.identifier.scopusid2-s2.0-85101865424-
dc.citation.endPage24-
dc.citation.number4-
dc.citation.startPage1-
dc.citation.titleSUSTAINABILITY-
dc.citation.volume13-
dc.type.docTypeArticle-
dc.publisher.location스위스-
dc.subject.keywordAuthorvirtual reality-
dc.subject.keywordAuthorpoint cloud data-
dc.subject.keywordAuthorbuilding information modeling-
dc.subject.keywordAuthorwork inspection-
dc.subject.keywordAuthorprogress monitoring-
dc.subject.keywordAuthorquality assurance inspection-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaEnvironmental Sciences & Ecology-
dc.relation.journalWebOfScienceCategoryGreen & Sustainable Science & Technology-
dc.relation.journalWebOfScienceCategoryEnvironmental Sciences-
dc.relation.journalWebOfScienceCategoryEnvironmental Studies-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
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