A COMPUTATIONAL FRAMEWORK FOR NEXT-GENERATION BRIDGE IMAGING AND INSPECTION

David Lattanzi, Greg Miller

2012

Abstract

A modern framework for bridge monitoring is proposed. It is intended to, in effect, bring bridges virtually into engineers’ offices, enabling computer-assisted inspection using visual/spatial navigation and interaction, augmented with computer vision recognition and analysis techniques developed for flaw and damage detection. The technical challenges to be addressed include developing a robotic front-end image capture approach for optimum compatibility with the bridge inspection process, building scalable back-end visualization algorithms, implementing a computer vision system capable of robust field inspection, and leveraging the contextualized image data to improve decision making tools for bridge maintenance.

References

  1. Abdel-Qader, I., Abudayyeh, O., and Kelly, M. (2003). Analysis of edge-detection techniques for crack identification in bridges. Journal of Computing in Civil Engineering, 17:255.
  2. Bay, H., Tuytelaars, T., and Van Gool, L. (2006). Surf: Speeded up robust features. In Leonardis, A., Bischof, H., and Pinz, A., editors, Computer Vision ECCV 2006, volume 3951 of Lecture Notes in Computer Science, pages 404-417. Springer.
  3. Bradski, G. (2000). The OpenCV Library. Dr. Dobb's Journal of Software Tools.
  4. Chen, C.-Y. and Klette, R. (1999). Image stitching - comparisons and new techniques. In Solina, F. and Leonardis, A., editors, Computer Analysis of Images and Patterns, volume 1689 of Lecture Notes in Computer Science, pages 835-835. Springer.
  5. Choset, H. (2000). Bridge inspection with serpentine robots. Technical Report Final Report For Highway IDEA Project 56, Transportation Research Board.
  6. Cox, R. and Jesmanowicz, A. (1999). Real-time 3d image registration for functional mri. Magnetic Resonance in Medicine, 42(6):1014-1018.
  7. Huston, D., Esser, B., Miller, J., and Wang, X. (2003). Robotic and mobile sensor systems for structural health monitoring. In Proceedings of the 4th International Workshop on Structural Health Monitoring, Stanford, CA, September, page 1517.
  8. Hutchinson, T. C. and Chen, Z. Q. (2006). Improved image analysis for evaluating concrete damage. Journal of Computing in Civil Engineering, 20:210.
  9. Mazumdar, A. and Asada, H. (2009). Mag-foot: A steel bridge inspection robot. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009. IROS 2009, pages 1691-1696.
  10. Tanner, C. C., Migdal, C. J., and Jones, M. T. (1998). The clipmap: a virtual mipmap. In SIGGRAPH 7898: Proceedings of the 25th annual conference on Computer graphics and interactive techniques, pages 151-158, New York, NY, USA. ACM.
  11. Zaurin, R. and Catbas, F. (2010). Integration of computer imaging and sensor data for structural health monitoring of bridges. Smart Materials and Structures, 19:015-019.
Download


Paper Citation


in Harvard Style

Lattanzi D. and Miller G. (2012). A COMPUTATIONAL FRAMEWORK FOR NEXT-GENERATION BRIDGE IMAGING AND INSPECTION . In Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2012) ISBN 978-989-8565-02-0, pages 725-730. DOI: 10.5220/0003859507250730


in Bibtex Style

@conference{ivapp12,
author={David Lattanzi and Greg Miller},
title={A COMPUTATIONAL FRAMEWORK FOR NEXT-GENERATION BRIDGE IMAGING AND INSPECTION},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2012)},
year={2012},
pages={725-730},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003859507250730},
isbn={978-989-8565-02-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2012)
TI - A COMPUTATIONAL FRAMEWORK FOR NEXT-GENERATION BRIDGE IMAGING AND INSPECTION
SN - 978-989-8565-02-0
AU - Lattanzi D.
AU - Miller G.
PY - 2012
SP - 725
EP - 730
DO - 10.5220/0003859507250730