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Article: A Quantitative Investigation of the Effect of Scan Planning and Multi-Technology Fusion for Point Cloud Data Collection on Registration and Data Quality: A Case Study of Bond University’s Sustainable Building

TitleA Quantitative Investigation of the Effect of Scan Planning and Multi-Technology Fusion for Point Cloud Data Collection on Registration and Data Quality: A Case Study of Bond University’s Sustainable Building
Authors
Keywordsdata quality
digital photogrammetry
laser scanning
point cloud data
reality capture
registration quality
Issue Date1-Jun-2023
PublisherMDPI
Citation
Buildings, 2023, v. 13, n. 6 How to Cite?
AbstractThe construction industry requires comprehensive and accurate as-built information for a variety of applications, including building renovations, historic building preservation and structural health monitoring. Reality capture technology facilitates the recording of as-built information in the form of point clouds. However, the emerging development trends of scan planning and multi-technology fusion in point cloud acquisition methods have not been adequately addressed in research regarding their effects on point cloud registration quality and data quality in the built environment. This study aims to extensively investigate the impact of scan planning and multi-technology fusion on point cloud registration and data quality. Registration quality is evaluated using registration error (RE) and scan overlap rate (SOR), representing registration accuracy and registration coincidence rate, respectively. Conversely, data quality is assessed using point error (PE) and coverage rate (CR), which denote data accuracy and data completeness. Additionally, this study proposes a voxel centroid approach and the PCP rate to calculate and optimize the CR, tackling the industry’s challenge of quantifying point cloud completeness.
Persistent Identifierhttp://hdl.handle.net/10722/338232
ISSN
2023 Impact Factor: 3.1
2023 SCImago Journal Rankings: 0.575
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhu, Z-
dc.contributor.authorChen, T-
dc.contributor.authorRowlinson, S-
dc.contributor.authorRusch, R-
dc.contributor.authorRuan, X -
dc.date.accessioned2024-03-11T10:27:15Z-
dc.date.available2024-03-11T10:27:15Z-
dc.date.issued2023-06-01-
dc.identifier.citationBuildings, 2023, v. 13, n. 6-
dc.identifier.issn2075-5309-
dc.identifier.urihttp://hdl.handle.net/10722/338232-
dc.description.abstractThe construction industry requires comprehensive and accurate as-built information for a variety of applications, including building renovations, historic building preservation and structural health monitoring. Reality capture technology facilitates the recording of as-built information in the form of point clouds. However, the emerging development trends of scan planning and multi-technology fusion in point cloud acquisition methods have not been adequately addressed in research regarding their effects on point cloud registration quality and data quality in the built environment. This study aims to extensively investigate the impact of scan planning and multi-technology fusion on point cloud registration and data quality. Registration quality is evaluated using registration error (RE) and scan overlap rate (SOR), representing registration accuracy and registration coincidence rate, respectively. Conversely, data quality is assessed using point error (PE) and coverage rate (CR), which denote data accuracy and data completeness. Additionally, this study proposes a voxel centroid approach and the PCP rate to calculate and optimize the CR, tackling the industry’s challenge of quantifying point cloud completeness.-
dc.languageeng-
dc.publisherMDPI-
dc.relation.ispartofBuildings-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectdata quality-
dc.subjectdigital photogrammetry-
dc.subjectlaser scanning-
dc.subjectpoint cloud data-
dc.subjectreality capture-
dc.subjectregistration quality-
dc.titleA Quantitative Investigation of the Effect of Scan Planning and Multi-Technology Fusion for Point Cloud Data Collection on Registration and Data Quality: A Case Study of Bond University’s Sustainable Building-
dc.typeArticle-
dc.identifier.doi10.3390/buildings13061473-
dc.identifier.scopuseid_2-s2.0-85163725167-
dc.identifier.volume13-
dc.identifier.issue6-
dc.identifier.eissn2075-5309-
dc.identifier.isiWOS:001014322100001-
dc.identifier.issnl2075-5309-

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