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Advanced Sensor Based Defect Management at Construction Sites (ASDMCon)
Head: Martial Hebert
Contact: Martial Hebert (hebert@ri.cmu.edu)
Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Associated centers: VASC and FRC
Associated labs/groups: Software Systems Group and 3D Computer Vision Group
For more information, see this project's homepage.
This page last updated - September 2005.
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Project Description |
Personnel |
Publications
Project Description
This research project builds on, combines and extends the advances in generating 3D environments using laser scanners, collecting quality information about built environments using embedded sensors, and generation and utilization of semantically-rich Architecture/Engineering/ Construction (A/E/C) project models, in developing an integrated early defect detection system.
Personnel [Past Members]
Publications
Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.
- A Formalism for Utilization of Sensor Systems and Integrated Project Models for Active Construction Quality Control
B. Akinci, F. Boukamp, C. Gordon, D. Huber, C. Lyons, and K. Park
Automation in Construction, Vol. 15, No. 2, February, 2006, pp. 124--138.
[Abstract]
Download: pdf [2250 KB] copyrighted
- Assessment of visualization software for support of construction site inspection tasks using data collected from reality capture technologies
C. Gordon, B. Akinci, F. Boukamp, and D. Huber
Proceedings of the 2005 International Conference on Computing in Civil Engineering, American Society of Civil Engineers, July, 2005.
[Abstract]
Download: pdf [86 KB] copyrighted
- Combining Reality Capture Technologies for Construction Defect Detection: A Case Study
C. Gordon, F. Boukamp, D. Huber, E. Latimer, K. Park, and B. Akinci
EIA9: E-Activities and Intelligent Support in Design and the Built Environment, 9th EuropIA International Conference, October, 2003, pp. 99-108.
[Abstract]
Download: pdf [115 KB] copyrighted
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