Assessment of quality of as-is building information models generated from point clouds using deviation analysis

Engin Burak Anil, Pingbo Tang, Burcu Akinci, Daniel Huber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

26 Scopus citations

Abstract

Three dimensional (3D) imaging sensors, such as laser scanners, are being used to create building information models (BIMs) of the as-is conditions of buildings and other facilities. Quality assurance (QA) needs to be conducted to ensure that the models accurately depict the as-is conditions. We propose a new approach for QA that analyzes patterns in the raw 3D data and compares the 3D data with the as-is BIM geometry to identify potential errors in the model. This "deviation analysis" approach to QA enables users to analyze the regions with significant differences between the 3D data and the reconstructed model or between the 3D data of individual laser scans. This method can help identify the sources of errors and does not require additional physical access to the facility. To show the approach's potential effectiveness, we conducted case studies of several professionally conducted as-is BIM projects. We compared the deviation analysis method to an alternative method - the physical measurement approach - in terms of errors detected and coverage. We also conducted a survey and evaluation of commercial software with relevant capabilities and identified technology gaps that need to be addressed to fully exploit the deviation analysis approach.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Three-Dimensional Imaging, Interaction, and Measurement
DOIs
StatePublished - 2011
EventThree-Dimensional Imaging, Interaction, and Measurement - San Francisco, CA, United States
Duration: Jan 24 2011Jan 27 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7864
ISSN (Print)0277-786X

Other

OtherThree-Dimensional Imaging, Interaction, and Measurement
CountryUnited States
CitySan Francisco, CA
Period1/24/111/27/11

Keywords

  • As-built
  • As-is
  • Building information model
  • Deviation analysis method
  • Laser Scanning
  • Physical measurement method
  • Quality assessment

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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