Automated retrieval of 3D CAD model objects in construction range images

Frederic Bosche, Carl Haas

Research output: Contribution to journalArticlepeer-review

Abstract

Automated and robust retrieval of three-dimensional (313) Computer-Aided Design (CAD) objects from laser scanned data would have many potentially valuable applications in construction engineering and management. For example, it would enable automated progress assessment for effortless productivity tracking, automated 3D image database searching for forensic and legal analysis, and real-time local modeling for automated equipment control and safety. After reviewing and analyzing previous research in the field of automated object recognition, this paper presents a new approach for robust automated recognition/retrieval of 3D CAD objects in range point clouds in the Architectural/Engineering/ Construction & Facility Management (AEC-FM) context. This approach is validated in laboratory experiments. A first experiment demonstrates that this new approach can efficiently and robustly automatically retrieve 3D CAD model objects in construction laser scanned data. A second experiment demonstrates how this approach can be used for efficiently assessing construction progress. The results presented here are preliminary but conclusive for proof of concept. More extensive field experiments in this and other application areas will follow to characterize performance trade-offs in practice. (C) 2007 Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to)499-512
Number of pages14
JournalAutomation in Construction
Volume17
Issue number4
Early online date24 Oct 2007
DOIs
Publication statusPublished - May 2008

Keywords

  • laser scanner
  • range point cloud
  • computer aided design
  • data registration
  • automated object recognition
  • RECOGNITION
  • SYSTEMS

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