Change search
ReferencesLink to record
Permanent link

Direct link
Utilizing Building Information Models with Mobile Augmented Reality and Location-Based Services
Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, Department of Computer and Information Science.
2013 (English)MasteroppgaveStudent thesis
Abstract [en]

The increasing availability of Building Information Models in the construction industry open for maintenance applications capitalizing on this opportunity. In this thesis Mobile Augmented Reality and Location-Based Services are utilized to develop an application targeting maintenance workers with access to Building Information Models. Building Information Models contain information about every object in a building, down to the millimeter. Having access to this detailed and up-to-date information on a mobile device help workflow efficiency. In a maintenance work environment such a solution liberate the personnel from carrying folders with blueprints of the entire building. Adding Mobile Augmented Reality technology enables the maintenance worker to be presented a visualization of the object, without the need for further interpretation. The mobile device is used to superimpose the object on the real world in its precise location. To retrieve an accurate location for the object, Location-Based Services are utilized. The application is evaluated to examine the applicability in a maintenance work environment. Two tests where conducted. The first at University of Tromsø, and the second at the Norwegian University of Science and Technology in Trondheim. The results from the evaluation showed that the proposed solution provides high usefulness as a tool in daily maintenance work operation.

Place, publisher, year, edition, pages
Institutt for datateknikk og informasjonsvitenskap , 2013. , 104 p.
URN: urn:nbn:no:ntnu:diva-23449Local ID: ntnudaim:7418OAI: diva2:664085
Available from: 2013-11-13 Created: 2013-11-13 Last updated: 2013-11-13Bibliographically approved

Open Access in DiVA

fulltext(13448 kB)636 downloads
File information
File name FULLTEXT01.pdfFile size 13448 kBChecksum SHA-512
Type fulltextMimetype application/pdf
cover(184 kB)56 downloads
File information
File name COVER01.pdfFile size 184 kBChecksum SHA-512
Type coverMimetype application/pdf

By organisation
Department of Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 636 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 50 hits
ReferencesLink to record
Permanent link

Direct link