The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

Laser scanners are rapidly gaining acceptance as a tool for three dimensional (3D) modeling and analysis in the architecture, engineering, and construction (AEC) domain. Since 2001, our cross-disciplinary research team has been developing new methods for analyzing and modeling laser scanner data, with an emphasis on applications in the AEC domain. This paper provides an overview of our group’s recent research efforts. Our work includes improving our understanding of the low-level aspects of laser scanner data, using comparison methods to analyze laser scanner data and derived models, and developing modeling and recognition algorithms to support the automatic creation of building models from laser scan data.

Keywords

Building information models, laser scanning, reverse engineering

Notes

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

Associated Lab(s) / Group(s): Vision and Mobile Robotics Lab and 3D Vision and Intelligent Systems Group

Associated Project(s): Automated Reverse Engineering of Buildings, Automated Floor Plan Modeling, Detailed Wall Modeling in Cluttered Environments, Context-based Recognition of Building Components

Text Reference

Daniel Huber, Burcu Akinci, Pingbo Tang, Antonio Adan Oliver, Brian E. Okorn, and Xuehan Xiong, "Using Laser Scanners for Modeling and Analysis in Architecture, Engineering, and Construction," Proceedings of the Conference on Information Sciences and Systems (CISS), March, 2010.

BibTeX Reference

@inproceedings{Huber_2010_6625,
   author = "Daniel Huber and Burcu Akinci and Pingbo Tang and Antonio {Adan Oliver} and Brian E Okorn and Xuehan Xiong",
   title = "Using Laser Scanners for Modeling and Analysis in Architecture, Engineering, and Construction",
   booktitle = "Proceedings of the Conference on Information Sciences and Systems (CISS)",
   month = "March",
   year = "2010",
}

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