• DocumentCode
    462011
  • Title

    The ASDMCon Project: The Challenge of Detecting Defects on Construction Sites

  • Author

    Yue, Kui ; Huber, Daniel ; Akinci, Burcu ; Krishnamurti, Ramesh

  • Author_Institution
    Carnegie Mellon Univ., Pittsburgh, PA
  • fYear
    2006
  • fDate
    14-16 June 2006
  • Firstpage
    1048
  • Lastpage
    1055
  • Abstract
    Techniques for three dimensional (3D) imaging and analysis of as-built conditions of buildings are gaining acceptance in the architecture, engineering, and construction (AEC) community. Early detection of defects on construction sites is one domain where these techniques have the potential to revolutionize an industry, since construction defects can consume a significant portion of a project´s budget. The ASDMCon project is developing methods to aid site managers in detecting and managing construction defects using 3D imaging and other advanced sensor technologies. This paper presents an overview of the project, its 4D visualization environment, and the 3D segmentation and recognition strategies that are being employed to automate defect detection.
  • Keywords
    construction; crack detection; data visualisation; image segmentation; 3D imaging; 3D segmentation; 4D visualization environment; ASDMCon project; advanced sensor technology; as-built conditions; construction defects; construction sites; defects detection; recognition strategy; Architecture; Buildings; Construction industry; Image analysis; Image segmentation; Image sensors; Project management; Technology management; Variable speed drives; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3D Data Processing, Visualization, and Transmission, Third International Symposium on
  • Conference_Location
    Chapel Hill, NC
  • Print_ISBN
    0-7695-2825-2
  • Type

    conf

  • DOI
    10.1109/3DPVT.2006.134
  • Filename
    4155837