ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5/W2, 289-293, 2013
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5-W2/289/2013/
doi:10.5194/isprsannals-II-5-W2-289-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
16 Oct 2013
Mobile Laser Scanning for Indoor Modelling
C. Thomson, G. Apostolopoulos, D. Backes, and J. Boehm Dept. of Geomatic Engineering, University College London, Gower Street, London, WC1E 6BT, UK
Keywords: Surveying, Comparison, Modelling, Building, Laser scanning, Mobile Abstract. The process of capturing and modelling buildings has gained increased focus in recent years with the rise of Building Information Modelling (BIM). At the heart of BIM is a process change for the construction and facilities management industries whereby a BIM aids more collaborative working through better information exchange, and as a part of the process Geomatic/Land Surveyors are not immune from the changes. Terrestrial laser scanning has been proscribed as the preferred method for rapidly capturing buildings for BIM geometry. This is a process change from a traditional measured building survey just with a total station and is aided by the increasing acceptance of point cloud data being integrated with parametric building models in BIM tools such as Autodesk Revit or Bentley Architecture. Pilot projects carried out previously by the authors to investigate the geometry capture and modelling of BIM confirmed the view of others that the process of data capture with static laser scan setups is slow and very involved requiring at least two people for efficiency. Indoor Mobile Mapping Systems (IMMS) present a possible solution to these issues especially in time saved. Therefore this paper investigates their application as a capture device for BIM geometry creation over traditional static methods through a fit-for-purpose test.
Conference paper (PDF, 667 KB)


Citation: Thomson, C., Apostolopoulos, G., Backes, D., and Boehm, J.: Mobile Laser Scanning for Indoor Modelling, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5/W2, 289-293, doi:10.5194/isprsannals-II-5-W2-289-2013, 2013.

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