Abstract
This paper describes the design, development and field tests of an aerial vehicle for semi-autonomous inspection of sewer pipes. This vehicle is able to localize and align itself with respect to the longitudinal axis of the pipe, and to keep a predefined height over the water. The human operator only needs to send high-level commands to move the vehicle forward or backward along the pipe, and this navigation is then done safely in an autonomous manner. We tested our system in a realistic mock-up scenario provided by a city water management company. Our field tests show that the platform is operational and fulfill the requirements for sewer inspections.
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References
ARSI Project. http://echord.eu/essential_grid/arsi-aerial-robot-for-sewer-inspection/index.html
BBC News. https://www.bbc.com/news/uk-england-devon-46787461
Flyability platform. https://www.flyability.com
SIAR Project. https://siar.idmind.pt
The Guardian. https://www.theguardian.com/environment/2017/sep/12/total-monster-concrete-fatberg-blocks-london-sewage-system
Alejo, D., Mier, G., Marques, C., Caballero, F., Merino, L., Alvito, P.: A ground robot solution for semi-autonomous inspection of visitable sewers. In: Grau, A., Morel, Y., Cecchi, F., Puig-Pey, A. (eds.) ECHORD++: Innovation from LAB to MARKET. Springer, Heidelberg (2019)
Bonnin-Pascual, F., Garcia-Fidalgo, E., Ortiz, A.: Semi-autonomous visual inspection of vessels assisted by an unmanned micro aerial vehicle. In: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3955–3961 (2012)
Jordan, S., Moore, J., Box, S.H.J., Perry, J., Kirsche, K., Lewis, D., Tse, Z.T.H.: State-of-the-art technologies for UAV inspections. IET Radar Sonar Navig. 12, 151–164 (2018)
Máthé, K., Buşoniu, L.: Vision and control for UAVs: a survey of general methods and of inexpensive platforms for infrastructure inspection. Sensors 15(7), 14887–14916 (2015)
Nikolic, J., Burri, M., Rehder, J., Leutenegger, S., Huerzeler, C., Siegwart, R.: A UAV system for inspection of industrial facilities. In: 2013 IEEE Aerospace Conference, pp. 1–8, March 2013
Perez-Grau, F.J., Ragel, R., Caballero, F., Viguria, A., Ollero, A.: An architecture for robust UAV navigation in GPS-denied areas. J. Field Robot. 35(1), 121–145 (2018)
Sa, I., Hrabar, S., Corke, P.: Inspection of pole-like structures using a vision-controlled VTOL UAV and shared autonomy. In: 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 4819–4826 (2014)
Shen, S., Michael, N., Kumar, V.: Obtaining liftoff indoors: autonomous navigation in confined indoor environments. IEEE Robot. Autom. Mag. 20(4), 40–48 (2013)
Shen, S., Mulgaonkar, Y., Michael, N., Kumar, V.: Multi-sensor fusion for robust autonomous flight in indoor and outdoor environments with a rotorcraft MAV. In: 2014 IEEE International Conference on Robotics and Automation (ICRA), pp. 4974–4981 (2014)
Tripicchio, P., Satler, M., Unetti, M., Avizzano, C.A.: Confined spaces industrial inspection with micro aerial vehicles and laser range finder localization. Int. J. Micro Air Veh. 10(2), 207–224 (2018)
Acknowledgements
This work has been developed in the Spanish SAAIC project and it has received funding from CTA and CDTI. It has also been funded by ARM-EXTEND in the Spanish RD plan (DPI2017-89790-R). We would also like to thank Rafael Salmoral for his support during flying tests.
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Castaño, A.R., Romero, H., Capitán, J., Andrade, J.L., Ollero, A. (2020). Development of a Semi-autonomous Aerial Vehicle for Sewerage Inspection. In: Silva, M., Luís 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_7
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