Scanners and Photography: A combined framework

Sepasgozar, SME; Forsythe, PJ; Shirowzhan, S

Scanners and Photography: A combined framework

Sepasgozar, SME Forsythe, PJ

Shirowzhan, S

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Publisher:: Central Queensland University
Publication Type:: Conference Proceeding
Citation:: Conference Proceedings AUBEA 2016, 2016, pp. 819 - 828
Issue Date:: 2016

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Field	Value	Language
dc.contributor.author	Sepasgozar, SME	en_US
dc.contributor.author	Forsythe, PJ https://orcid.org/0000-0002-0997-9118	en_US
dc.contributor.author	Shirowzhan, S	en_US
dc.contributor.editor	Singhaputtangkul, N	en_US
dc.date	2016-07-06	en_US
dc.date.issued	2016	en_US
dc.identifier.citation	Conference Proceedings AUBEA 2016, 2016, pp. 819 - 828	en_US
dc.identifier.isbn	978-1-921047-13-8	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122843
dc.description.abstract	Latest Lidar scanner technologies have great potential to contribute to construction processes by capturing accurate data in a convenient way. In particular, handheld Lidar scanners have the potential to provide real-time data from insitu buildings that are under construction or will be redesigned during construction. Focusing on the advantage of handheld Lidar scanners and photogrammetry technologies, this paper presents an integrated framework to revise digital drawings based on updated data from construction objects. The data was collected using handheld scanners for two floors of a building. Additional data was collected using terrestrial scanners including point clouds and photos in order to compare different Lidar technologies and update the data. The findings show how handheld laser scanners differ from terrestrial scanners: efficient for updating data to assist designers to revise digital construction drawings, easy to use without high-skilled labour required, and less expensive than terrestrial scanners. The procedures of creating models from different tools, namely handheld and terrestrial Lidar scanners, are compared to evaluate the feasibility of semi-automatic data acquisition for creating Building Information Models (BIM). It was found that the framework using handheld Lidar, potentially enables designers to quickly revise drawing of complex objects. The proposed study is a step towards semi-automated modelling and drawing revision of construction objects.	en_US
dc.publisher	Central Queensland University	en_US
dc.relation.ispartof	Conference Proceedings AUBEA 2016	en_US
dc.relation.ispartof	Australian Universities Building Education Association Annual Conference	en_US
dc.title	Scanners and Photography: A combined framework	en_US
dc.type	Conference Proceeding
utslib.location	Rockhampton	en_US
utslib.location.activity	Cairns	en_US
utslib.for	120201 Building Construction Management and Project Planning	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/e-Press
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Built Environment
pubs.organisational-group	/University of Technology Sydney/Strength - CCDP - Contemporary Design Practice
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.finish-date	2016-07-08	en_US
pubs.place-of-publication	Rockhampton	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2016-07-06	en_US

Abstract:

Latest Lidar scanner technologies have great potential to contribute to construction processes by capturing accurate data in a convenient way. In particular, handheld Lidar scanners have the potential to provide real-time data from insitu buildings that are under construction or will be redesigned during construction. Focusing on the advantage of handheld Lidar scanners and photogrammetry technologies, this paper presents an integrated framework to revise digital drawings based on updated data from construction objects. The data was collected using handheld scanners for two floors of a building. Additional data was collected using terrestrial scanners including point clouds and photos in order to compare different Lidar technologies and update the data. The findings show how handheld laser scanners differ from terrestrial scanners: efficient for updating data to assist designers to revise digital construction drawings, easy to use without high-skilled labour required, and less expensive than terrestrial scanners. The procedures of creating models from different tools, namely handheld and terrestrial Lidar scanners, are compared to evaluate the feasibility of semi-automatic data acquisition for creating Building Information Models (BIM). It was found that the framework using handheld Lidar, potentially enables designers to quickly revise drawing of complex objects. The proposed study is a step towards semi-automated modelling and drawing revision of construction objects.

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http://hdl.handle.net/10453/122843