Abstract
This article presents a methodology to position an in-pipe robot in the center of a pipe from a line matching algorithm applied to the unwrapped omni-directional camera located at the robot’s front-end. The advantage of use omni-directional camera inside the pipes is the relation between the cylindrical image obtained from the camera and the position of the camera on the robot inside the pipe, where by direct relation the circular features become linear. The DeWaLoP in-pipe robot objective is to redevelop the cast-iron pipe-joints of the over 100 years old fresh water supply systems of Vienna and Bratislava. In order to redevelop the pipes, the robot uses a rotating mechanism to clean and apply a sealing material to the pipe-joints. This mechanism must be set perfectly in the center of the pipe to work properly. Therefore, it is crucial to set the in-pipe robot in the center of the pipe’s horizontal x and y axes.
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References
Grassi, V., Okamoto, J.: Development of an omnidirectional vision system. Journal of the Brazilian Society of Mechanical Sciences and Engineering (2006) ISSN 1678-5878
Benosman, R., Kang, S.: Panoramic Vision: Sensors, Theory, and Applications. Springer, NY (2001)
Daniillidis, K., Klette, R.: Imaging Beyond the Pinhole Camera. Springer, New York (2006)
Sturm, P., Ramalingam, S., Gasparini, S., Barreto, J.: Camera models and fundamental concepts used in geometric computer vision. Foundations and Trends in Computer Graphics and Vision 6(12) (2010)
Scaramuzza, D.: Omnidirectional vision: from calibration to robot motion estimation. PhD thesis n. 17635. PhD thesis, ETH Zurich (2008)
Blosch, M., Weiss, S., Scaramuzza, D., Siegwart, R.: Vision based mav navigation in unknown and unstructured environments. In: IEEE ICRA
Bosse, M., Rikoski, R., Leonard, J., Teller, S.: Vanishing points and 3d lines from omnidirectional video. In: International Conference on Image Processing (2002)
Corke, P., Strelow, D., Singh, S.: Omnidirectional visual odometry for a planetary rover. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (2004)
Tardif, J., Pavlidis, Y., Daniilidis, K.: Monocular visual odome-try in urban environments using an omni-directional camera. In: IEEE/RSJ (2008)
Scaramuzza, D., Fraundorfer, F., Pollefeys, M.: Closing the loop in appearance-guided omnidirectional visual odometry by using vocabulary trees. Robotics and Autonomous System Journal 58(6) (2010)
Nassiraei, A.F., Kawamura, Y.: Concept and Design of A Fully Autonomous Sewer Pipe Inspection Mobile Robot KANTARO. In: 2007 IEEE International Conference on Robotics and Automation (2007)
Roh, S., Wan Kim, D., Lee, J., Moon, H., Ryeol Choi, H.: In-pipe Robot Based on Selective Drive Mechanism. International Journal of Control, Automation, and Systems 7(1), 105–112 (2009)
Mateos, L.A., Sousa, M., Vincze, M.: DeWaLoP Robot Remote Control for In-pipe Robot. In: ICAR 2011, pp. 518–523 (2011)
Mateos, L.A., Vincze, M.: DeWaLoP Robot Dynamical Independent Suspension System. In: ICMET 2011, pp. 287–292 (2011)
Mateos, L.A., Vincze, M.: Developing Water Loss Prevention DeWaLoP Robot Vision system. In: CET, pp. 65–68 (2011)
Mateos, L.A., Vincze, M.: DeWaLoP Robust Pipe Joint Detection. In: IPCV, pp. 727–732 (2011)
Mateos, L.A., Vincze, M.: DeWaLoP-Monolithic Multi-module In-Pipe Robot System. In: Jeschke, S., Liu, H., Schilberg, D. (eds.) ICIRA 2011, Part I. LNCS, vol. 7101, pp. 406–415. Springer, Heidelberg (2011)
Svoboda, T., Pajdla, T., Hlavac, V.: Central Panoramic Cameras: Geometry and Design. Research Report K335/97/147, Czech Technical University, Faculty of Electrical Engineering, Center for Machine Perception (1997)
Brunelli, R.: Template Matching Techniques in Computer Vision: Theory and Practice. Wiley (2009) ISBN 978-0- 470-51706-2
Mateos, L.A., Shao, D., Kropatsch, W.G.: Expanding Irregular Graph Pyramid for an Approaching Object. In: Bayro-Corrochano, E., Eklundh, J.-O. (eds.) CIARP 2009. LNCS, vol. 5856, pp. 885–891. Springer, Heidelberg (2009)
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Mateos, L.A., Vincze, M. (2013). DeWaLoP In-Pipe Robot Position from Visual Patterns. In: Batyrshin, I., González Mendoza, M. (eds) Advances in Artificial Intelligence. MICAI 2012. Lecture Notes in Computer Science(), vol 7629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37807-2_21
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DOI: https://doi.org/10.1007/978-3-642-37807-2_21
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