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
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;
Conference_Titel :
3D Data Processing, Visualization, and Transmission, Third International Symposium on
Conference_Location :
Chapel Hill, NC
Print_ISBN :
0-7695-2825-2
DOI :
10.1109/3DPVT.2006.134