Open Access
| Issue |
MATEC Web of Conferences
Volume 32, 2015
International Symposium of Optomechatronics Technology (ISOT 2015)
|
|
|---|---|---|
| Article Number | 06006 | |
| Number of page(s) | 6 | |
| Section | Optomechatronics sensing and robotics | |
| DOI | https://doi.org/10.1051/matecconf/20153206006 | |
| Published online | 02 December 2015 | |
- O. Duron, K. Althoefer, and L. D. Senevirante, “Automated sewer pipe inspection through image processing”, Proc. of the IEEE International Conf. on Robotics and Automation (ICRA), Vol. 3 , pp. 2551–2556, (2002) [Google Scholar]
- O. Duran, K. Althoefer, and L. D. Senevirante, “Pipe inspection using a laser-based transducer and automated analysis techniques”, IEEE/ASME Transactions on Mechatronics, Vol. 8, No. 3, pp. 401–409, (2003). [CrossRef] [Google Scholar]
- A. Basu, and D. Southwell, “Omni-directional sensors for pipe inspection”, Proc. of the IEEE International Conf. on Systems, Man and Cybernetics, Vol. 4, pp. 3107–3112, (1995). [Google Scholar]
- C. Frey, “Rotating optical geometry sensor for fresh water pipe inspection”, IEEE Journal of Sensors, pp. 337–340, (2008). [Google Scholar]
- K. Matsui, A. Yamashita, and T. Kaneko, “3-d shape measurement of pipe by range finder constructed with omni-directional laser and omni-directional camera”, Proc. of the IEEE International Conf. on Robotics and Automation (ICRA), pp. 2537–2542, (2010). [Google Scholar]
- T. Inari, et. al., “Optical inspection system for the inner surface of a pipe using detection of circular images projected by a laser square”, Open-access Journal of Measurements, Vol. 13, No. 2, pp. 99–106, (1994). [Google Scholar]
- A. D. Tezerjani, M. Mehrandezh, and R. Paranjape, “Optimal spatial resolution of omnidirectional imaging systems for pipe inspection applications”, in press, Journal of Optomechatronics, (2015). [Google Scholar]
- A. D. Tezerjani, “High resolution visual pipe characterization system using an omnidirectional camera”, Ph.D. thesis under final review (2015). [Google Scholar]
- T. Morwald, et. al., “Geometric data abstraction using B-splines for range image segmentation”, Proc. of the IEEE International Conf. on Robotics and Automation (ICRA), Vol. 1, pp. 148–153, , (2013). [Google Scholar]
- S. K. Nayar, “A theory of single-viewpoint Catadioptric image formation”, International Journal of Computer Vision, Vol. 35, Issue 2, pp. 175–196, (1999). [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.