Carnegie Mellon University
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Quality Assessment of As-built Building Information Models using Deviation Analysis
Head: Burcu Akinci and Daniel Huber
Contact: Engin Anil
Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Ave
Pittsburgh, PA 15213
Associated center(s) / consortia:
 Vision and Autonomous Systems Center (VASC)
Associated lab(s) / group(s):
 3D Vision and Intelligent Systems Group
  • Efficient and Effective Quality Assessment of As-Is Building Information Models and 3D Laser-Scanned Data

    Pingbo Tang, Engin Anil, Burcu Akinci, and Daniel Huber
    Proceedings of the ASCE International Workshop on Computing in Civil Engineering, June, 2011.
    Details | pdf (483KB) | Copyrighted

  • Assessment of Quality of As-is Building Information Models Generated from Point Clouds Using Deviation Analysis

    Engin Anil, Pingbo Tang, Burcu Akinci, and Daniel Huber
    Proceedings of the SPIE Vol. 7864A, Electronics Imaging Science and Technology Conference (IS&T), 3D Imaging Metrology, January, 2011.
    Details | pdf (5MB) | Copyrighted