The ASDMCon project: The challenge of detecting defects on construction sites
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.
BibTeX
@conference{Yue-2006-9520,author = {Kui Yue and Daniel Huber and Burcu Akinci and Ramesh Krishnamurti},
title = {The ASDMCon project: The challenge of detecting defects on construction sites},
booktitle = {Proceedings of 3rd International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT '06)},
year = {2006},
month = {June},
pages = {1048 - 1055},
keywords = {3D imaging, 3D segmentation, 4D visualization environment, ASDMCon project, advanced sensor technology, as-built conditions, construction defects, construction sites, defect detection, recognition strategy},
}