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
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