Towards Automated Retrieval of 3D Designed Data in 3D Sensed Data

F. Bosche, C. T. Haas

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

    8 Citations (Scopus)
    40 Downloads (Pure)


    Construction productivity, one major project performance indicator, requires the continuous assessment of construction progress over time. Current practices for construction progress assessment are labour intensive, expensive, and generally result in partial and sometimes erroneous information. It is thus difficult to make appropriate and timely management decisions. However, recent three-dimensional (3D) Computer Aided Design (CAD), 3D scanning and global positioning technologies present an opportunity for developing more efficient, robust and automated approaches. After reviewing and analyzing previous works conducted in the field of automated object detection, this paper presents a new approach taking advantage of global positioning technologies for robustly retrieving 3D CAD elements within 3D scanned data. This approach is implemented and experimented in laboratory. Results are conclusive towards further experiments for its application to many different fields including automated construction progress assessment for effortless productivity tracking.
    Original languageEnglish
    Title of host publicationComputing in Civil Engineering
    PublisherAmerican Society of Civil Engineers
    Publication statusPublished - 2007
    EventInternational Workshop on Computing in Civil Engineering 2007 - Pittsburgh, Pennsylvania, United States
    Duration: 24 Jul 200727 Jul 2007


    ConferenceInternational Workshop on Computing in Civil Engineering 2007
    Country/TerritoryUnited States
    CityPittsburgh, Pennsylvania


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