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The ASDMCon Project: The Challenge of Detecting Defects on Construction Sites
University of North Carolina, Chapel Hill, USA June 14-June 16
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/3DPVT.2006.134Third International Symposium on 3D D ...
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Kui Yue, Daniel Huber, Burcu Akinci, Ramesh Krishnamurti, "The ASDMCon Project: The Challenge of Detecting Defects on Construction Sites," 3D Data Processing Visualization and Transmission, International Symposium on, pp. 1048-1055, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06), 2006.
 
 
BibTex
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@article{ 10.1109/3DPVT.2006.134,
author = {Kui Yue and Daniel Huber and Burcu Akinci and Ramesh Krishnamurti},
title = {The ASDMCon Project: The Challenge of Detecting Defects on Construction Sites},
journal ={3D Data Processing Visualization and Transmission, International Symposium on},
volume = {0},
year = {2006},
isbn = {0-7695-2825-2},
pages = {1048-1055},
doi = {http://doi.ieeecomputersociety.org/10.1109/3DPVT.2006.134},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - 3D Data Processing Visualization and Transmission, International Symposium on
TI - The ASDMCon Project: The Challenge of Detecting Defects on Construction Sites
SN - 0-7695-2825-2
SP1048
EP1055
A1 - Kui Yue,
A1 - Daniel Huber,
A1 - Burcu Akinci,
A1 - Ramesh Krishnamurti,
PY - 2006
KW - null
VL - 0
JA - 3D Data Processing Visualization and Transmission, International Symposium on
ER -
 
Kui Yue, Carnegie Mellon University, USA
Daniel Huber, Carnegie Mellon University, USA
Burcu Akinci, Carnegie Mellon University, USA
Ramesh Krishnamurti, Carnegie Mellon University, USA
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.
Citation:
Kui Yue, Daniel Huber, Burcu Akinci, Ramesh Krishnamurti, "The ASDMCon Project: The Challenge of Detecting Defects on Construction Sites," 3dpvt, pp.1048-1055, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06), 2006
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