Volume XLII-2/W9
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W9, 455-460, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W9-455-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W9, 455-460, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W9-455-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  31 Jan 2019

31 Jan 2019

AUTOMATING THE VERIFICATION OF HERITAGE BUILDING INFORMATION MODELS CREATED FROM POINT CLOUD DATA

H. Macher1, L. Chow2, and S. Fai2 H. Macher et al.
  • 1Photogrammetry and Geomatics Group, ICube Laboratory UMR 7357, INSA Strasbourg, France
  • 2Carleton Immersive Media Studio, Azrieli School of Architecture and Urbanism, Carleton University, Ottawa, Canada

Keywords: 3D analysis, as-built BIM, model checking, point clouds, deviations, walls

Abstract. The use of remote sensors to acquire metric information for building information modelling (BIM) of heritage buildings is now common. Problematically, the creation of models from that information is still largely a manual and non-quantifiable process. As a result, a key aspect of the scan-to-BIM process is verification of the accuracy of the model in relation to the metric information. The most common method to check a model element constructed from a point cloud seems to be the analysis of deviations between this element and the corresponding point cloud (Anil et al., 2013; Tang et al., 2011). It is comprised of three main steps: the computation, the visualisation and the analysis of deviations. The verification process is particularly onerous for large-scale buildings where it is necessary to ensure that all elements of a model are consistent with metric data that may come from diverse sources (Chow and Fai, 2017). In this paper, we discuss the development of a plug-in for Autodesk Revit that automates this verification process.