Performance of automated project progress tracking with 3D Data fusion

Frederic Nicolas Bosche, Carl Haas, Paul Murray

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

    13 Citations (Scopus)
    89 Downloads (Pure)

    Abstract

    In the Architectural-Engineering-Construction & Facility Management industry, project progress tracking is an important management task. Currently, this task still requires a significant amount of non value-adding manual effort that interferes with value-adding work. Additionally, current practice may lead to approximate or unreliable results. In this paper, the authors present an approach fusing threedimensional (3D) Computer-Aided Design (CAD) modeling and time-stamped 3D laser scanned data for non intrusive automated project progress tracking. This approach robustly and efficiently recognizes all 3D CAD model elements in project 3D laser scans. Its applicability and performance with respect to automated construction progress tracking are investigated. Real-life data obtained during the construction of a green field power plant project is used for the investigation.
    Original languageEnglish
    Title of host publicationAnnual Conference of the Canadian Society for Civil Engineering
    Publication statusPublished - 2008
    EventAnnual Conference of the Canadian Society for Civil Engineering - Québec, Canada
    Duration: 10 Jun 200813 Jun 2010

    Conference

    ConferenceAnnual Conference of the Canadian Society for Civil Engineering
    CountryCanada
    CityQuébec
    Period10/06/0813/06/10

    Fingerprint Dive into the research topics of 'Performance of automated project progress tracking with 3D Data fusion'. Together they form a unique fingerprint.

  • Cite this

    Bosche, F. N., Haas, C., & Murray, P. (2008). Performance of automated project progress tracking with 3D Data fusion. In Annual Conference of the Canadian Society for Civil Engineering