Carnegie Mellon Robotics Institute
Burcu Akinci, Frank Boukamp, Chris Gordon, Daniel Huber, Catherine Lyons, and Kuhn Park
Automation in Construction, Vol. 15, No. 2, February, 2006, pp. 124--138.
| Download |
|
| Abstract |
| Defects experienced during construction are costly and preventable. However, inspection programs employed today cannot adequately detect and manage defects that occur on construction sites, as they are based on measurements at specific locations and times, and are not integrated into complete electronic models. Emerging sensing technologies and project modeling capabilities motivate the development of a formalism that can be used for active quality control on construction sites. In this paper, we outline a process of acquiring and updating detailed design information, identifying inspection goals, inspection planning, as-built data acquisition and analysis, and defect detection and management. We discuss the validation of this formalism based on four case studies. |
| Keywords |
| Quality control, construction inspection, sensors, laser scanners, integrated project models, object recognition |
| Notes |
Sponsor: The project is funded by a grant from the National Science Foundation, CMS #0121549. Grant ID: 0121549 Associated Center(s) / Consortia:
Vision and Autonomous Systems Center and Field Robotics Center Associated Lab(s) / Group(s):
Software Systems Group and 3D Computer Vision Group Associated Project(s):
Advanced Sensor Based Defect Management at Construction Sites Number of pages: 25 |
| Text Reference |
| Burcu Akinci, Frank Boukamp, Chris Gordon, Daniel Huber, Catherine Lyons, and Kuhn Park, "A Formalism for Utilization of Sensor Systems and Integrated Project Models for Active Construction Quality Control," Automation in Construction, Vol. 15, No. 2, February, 2006, pp. 124--138. |
| BibTeX Reference |
|
@article{Huber_2006_5375, author = "Burcu Akinci and Frank Boukamp and Chris Gordon and Daniel Huber and Catherine Lyons and Kuhn Park", title = "A Formalism for Utilization of Sensor Systems and Integrated Project Models for Active Construction Quality Control", journal = "Automation in Construction", pages = "124--138", publisher = "Elsevier", month = "February", year = "2006", volume = "15", number = "2", } |
| The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University. Contact Us | Update Instructions |