Planning for Scanning Using Building Information Models: A Novel Approach with Occlusion Handling

Humayun Kabir Biswas, Frédéric Bosché, Ming Sun

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


Terrestrial laser scanning is finding an increasing range of applications in the Architectural Engineering Construction and Facilities Management (AEC/FM) industry. While significant progress has been made in the performance of laser scanners and multi-scan registration, planning for scanning – i.e. the selection of locations for the scanner and registration targets – still done quite subjectively by surveyors and is underpinned by little or very basic scientific reasoning. This may lead 3D point cloud data being incomplete or insufficiently accurate to deliver the completeness and accuracyin the subsequent measurement or modelling tasks.In this paper, preliminary results are presented for a novel scientific approach for planning for scanning in the construction sector. The approach is designed to generate automatic laser scanning plans using as input: (1) the facility’s 3D BIM model; (2) the scanner’s characteristics; and (3) the scanning specifications in terms of individual point precision and surface area covered by the scanned data for each 3D BIM model object. The output is the smallest set of scanner locations required to achieve those requirements. The particular value of the proposed approach is its capacity to take model self-occlusions into account. The performance of this approach is assessed with a simple experiment simulating the scanning of a concrete structure.
Original languageEnglish
Title of host publicationProceedings of the 32nd ISARC, Oulu, Finland
PublisherThe International Association for Automation and Robotics in Construction
Number of pages8
Publication statusPublished - 2015
Event32nd International Symposium on Automation and Robotics in Construction (ISARC) - University of Oulu, Oulu, Finland
Duration: 15 Jun 201518 Jun 2015
Conference number: 32


Conference32nd International Symposium on Automation and Robotics in Construction (ISARC)
Abbreviated titleISARC 2015


  • Laser Scanning
  • BIM
  • 3D
  • Point clouds
  • Planning
  • Quality
  • Precision
  • Covered surface
  • Occlusion


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