Abstract
In this paper we summarize the automatic defect inspection onboard the sewer inspection ground platform SIAR. We include a general overview of the software and hardware characteristics of our platform, making a special emphasis on the sensing devices and software systems that are used for defect inspection. The main detection algorithm makes use of the a priori knowledge of ideal sections of the sewers that can be found in the Geographic Information Systems (GIS), and uses a variant of the Iterative Closest Point (ICP) algorithm for finding structural and serviceability defects. Then, we describe the software modules that are in charge of storing the alerts found by the detection system and of displaying them to the operator. The whole system has been tested in two field scenarios on different locations of the real sewer network of Barcelona, Spain.
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References
Kuntze, H., Haffner, H.: Experiences with the development of a robot for smart multisensoric pipe inspection. In: IEEE International Conference on Robotics and Automation, vol. 2, pp. 1773–1778 (1998). https://doi.org/10.1109/ROBOT.1998.677423
Kirkham, R., Kearney, P.D., Rogers, K.J., Mashford, J.: PIRAT - a system for quantitative sewer pipe assessment. Int. J. Robot. Res. 19(11), 1033–1053 (2000). https://doi.org/10.1177/02783640022067959
Moselhi, O., Shehab, T.: Automated detection of surface defects in water and sewer pipes. Autom. Constr. 8(5), 581–588 (1999). https://doi.org/10.1016/S0926-5805(99)00007-2
Shehab, T., Moselhi, O.: Automated detection and classification of infiltration in sewer pipes. J. Infrastruct. Syst. 11(3), 165–171 (2005)
Halfawy, M.R., Hengmeechai, J.: Integrated vision-based system for automated defect detection in sewer closed circuit television inspection videos. J. Comput. Civ. Eng. 29(1), 04014024 (2015). https://doi.org/10.1061/(ASCE)CP.1943-5487.0000312
Moradi, S. and Zayed, T.: Real-time defect detection in sewer closed circuit television inspection videos, pp. 295-307 (2017). https://doi.org/10.1061/9780784480885.027
ECHORD++: Utility infrastructures and condition monitoring for sewer network. Robots for the inspection and the clearance of the sewer network in cities (2014). http://echord.eu/public/wp-content/uploads/2015/11/20141218_Challenge-Brief_Urban_Robotics.pdf
Alejo, D., Caballero, F. and Merino, L.: RGBD-based robot localization in sewer networks. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4070–4076, September 2017. https://doi.org/10.1109/IROS.2017.8206263
Besl, P.J., McKay, N.D.: A method for registration of 3-D shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14(2), 239–256 (1992). https://doi.org/10.1109/34.121791
Kam, H., Lee, S.-H., Park, T., Kim, C.-H.: RViz: a toolkit for real domain data visualization. Telecommun. Syst. 60, 337–345 (2015)
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Merino, L., Alejo, D., Martinez-Rozas, S., Caballero, F. (2020). A RGBD-Based System for Real-Time Robotic Defects Detection on Sewer Networks. In: Silva, M., LuÃs Lima, J., Reis, L., Sanfeliu, A., Tardioli, D. (eds) Robot 2019: Fourth Iberian Robotics Conference. ROBOT 2019. Advances in Intelligent Systems and Computing, vol 1092. Springer, Cham. https://doi.org/10.1007/978-3-030-35990-4_48
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DOI: https://doi.org/10.1007/978-3-030-35990-4_48
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