The Robotics Institute

Carnegie Mellon Robotics Institute

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

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

3D imaging, 3D segmentation, 4D visualization environment, ASDMCon project, advanced sensor technology, as-built conditions, construction defects, construction sites, defect detection, recognition strategy

Notes

Sponsor: This research was supported by NSF grant CMS-0121549. The authors wish to thank several people who have contributed to this research, including Chris Gordon, Frank Boukamp, Kuhn Park, Giancarlo Dozzi, Michael Ho, Sung- Joo Lim, and Alexander Mordkovich.

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): Vision and Mobile Robotics Lab

Text Reference

Kui Yue, Daniel Huber, Burcu Akinci, and Ramesh Krishnamurti, "The ASDMCon project: The challenge of detecting defects on construction sites," Proceedings of the Third International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT), June, 2006, pp. 1048-1055.

BibTeX Reference

@inproceedings{Huber_2006_6532,
   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 the Third International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT)",
   pages = "1048-1055",
   month = "June",
   year = "2006",
}

The Robotics Institute

Menu