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dc.contributor.author
Esnaashary Esfahani, Mansour
dc.contributor.author
Rausch, Christopher
dc.contributor.author
Sharif, Mohammad Mahdi
dc.contributor.author
Chen, Qian
dc.contributor.author
Haas, Carl
dc.contributor.author
Adey, Bryan T.
dc.date.accessioned
2021-04-15T14:39:41Z
dc.date.available
2021-04-05T02:53:27Z
dc.date.available
2021-04-15T14:39:41Z
dc.date.issued
2021-06
dc.identifier.issn
0926-5805
dc.identifier.other
10.1016/j.autcon.2021.103686
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/477429
dc.identifier.doi
10.3929/ethz-b-000477429
dc.description.abstract
Accurate as-built information is required to operate, maintain, and adapt existing buildings. Scan-to-BIM has become a feasible approach for collecting and modelling 3D as-built information and has three phases: (1) scanning, (2) registration, and (3) modelling. This paper focuses on the modelling phase, which can currently be conducted either manually or semi-automatically. As-built conditions of a building are surveyed, and the geometry is modeled in a series of modelling scenarios. For each trial, geometric dimensions of the BIMs are compared to ground truth dimensions. This paper assesses the impact of levels of automation and modeller training on the accuracy and precision of generated BIMs. Quantitative models are developed for modelling scenarios using empirical datasets. Lastly, the impacts of degrees of accuracy are discussed. This study provides insight into the dimensional certainty of BIMs generated by Scan-to-BIM and helps decision-makers assess the risk of decisions made based on this information.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
Building Information Modelling (BIM)
en_US
dc.subject
As-built information
en_US
dc.subject
Scan-to-BIM
en_US
dc.subject
Manual Modelling
en_US
dc.subject
Semi-automated Modelling
en_US
dc.subject
Primary and secondary building objects
en_US
dc.subject
Accuracy
en_US
dc.subject
Precision
en_US
dc.title
Quantitative investigation on the accuracy and precision of Scan-to-BIM under different modelling scenarios
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
dc.date.published
2021-03-31
ethz.journal.title
Automation in Construction
ethz.journal.volume
126
en_US
ethz.journal.abbreviated
Autom. constr.
ethz.pages.start
103686
en_US
ethz.size
14 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02604 - Inst. für Bau- & Infrastrukturmanagement / Inst. Construction&Infrastructure Manag.::03859 - Adey, Bryan T. / Adey, Bryan T.
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
*
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02604 - Inst. für Bau- & Infrastrukturmanagement / Inst. Construction&Infrastructure Manag.::03859 - Adey, Bryan T. / Adey, Bryan T.
ethz.date.deposited
2021-04-05T02:53:32Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-04-15T14:39:58Z
ethz.rosetta.lastUpdated
2023-02-06T21:42:16Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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