Scan-to-BIM output validation : towards a standardized geometric quality assessment of building information models based on point clouds

Mathias Bonduel, Maarten Bassier, Maarten Vergauwen, Pieter Pauwels, Ralf Klein

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

9 Citations (Scopus)
7 Downloads (Pure)

Abstract

The use of Building Information Modeling (BIM) for existing buildings based on point clouds is increasing. Standardized geometric quality assessment of the BIMs is needed to make them more reliable and thus reusable for future users. First, available literature on the subject is studied. Next, an initial proposal for a standardized geometric quality assessment is presented. Finally, this method is tested and evaluated with a case study. The number of specifications on BIM relating to existing buildings is limited. The Levels of Accuracy (LOA) specification of the USIBD provides definitions and suggestions regarding geometric model accuracy, but lacks a standardized assessment method. A deviation analysis is found to be dependent on (1) the used mathematical model, (2) the density of the point clouds and (3) the order of comparison. Results of the analysis can be graphical and numerical. An analysis on macro (building) and micro (BIM object) scale is necessary. On macro scale, the complete model is compared to the original point cloud and vice versa to get an overview of the general model quality. The graphical results show occluded zones and non-modeled objects respectively. Colored point clouds are produced and integrated in the BIM. On micro scale, the relevant surface parts are extracted per BIM object and compared to the complete point cloud. Occluded zones are extracted based on a maximum deviation. What remains is classified according to the LOA specification. The numerical results are integrated in the BIM with the use of object parameters.
Original languageEnglish
Title of host publicationSPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W8
PublisherCopernicus
Pages45-52
Number of pages8
Volume42
DOIs
Publication statusPublished - 13 Nov 2017
Externally publishedYes
Event5th International Workshop LowCost 3D - Sensors, Algorithms, Applications - Hamburg, Germany
Duration: 28 Nov 201729 Nov 2017

Workshop

Workshop5th International Workshop LowCost 3D - Sensors, Algorithms, Applications
Country/TerritoryGermany
CityHamburg
Period28/11/1729/11/17

Bibliographical note

ugent:id 8578701 ugent:classification C1

Keywords

  • Building Information Modeling
  • Geometric quality assessment
  • Point clouds
  • Scan-to-BIM
  • Standardization

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