Advanced Sensor Based Defect Management at Construction Sites - Robotics Institute Carnegie Mellon University

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.

Displaying 3 Publications

2006

A Formalism for Utilization of Sensor Systems and Integrated Project Models for Active Construction Quality Control

Burcu Akinci, Frank Boukamp, Chris Gordon, Daniel Huber, Catherine Lyons, and Kuhn Park

Journal Article, Automation in Construction, Vol. 15, No. 2, pp. 124 - 138, February, 2006

2005

Assessment of visualization software for support of construction site inspection tasks using data collected from reality capture technologies

Chris Gordon, Burcu Akinci, Frank Boukamp, and Daniel Huber

Conference Paper, Proceedings of ASCE International Conference on Computing in Civil Engineering (ICCC '05), July, 2005

2003

Combining Reality Capture Technologies for Construction Defect Detection: A Case Study

C. Gordon, F. Boukamp, Daniel Huber, Edward Latimer, K. Park, and B. Akinci

Conference Paper, Proceedings of 9th EuropIA International Conference: E-Activities and Intelligent Support in Design and the Built Environment (EIA '03), pp. 99 - 108, October, 2003

past staff

Scott Thayer
Nicolas Vandapel

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