Abstract
This paper describes an absolute localisation method for an unmanned ground vehicle (UGV) if GPS is unavailable for the vehicle. The basic idea is to combine an unmanned aerial vehicle (UAV) to the ground vehicle and use it as an external sensor platform to achieve an absolute localisation of the robotic team. Beside the discussion of the rather naive method directly using the GPS position of the aerial robot to deduce the ground robot’s position the main focus of this paper lies on the indirect usage of the telemetry data of the aerial robot combined with live video images of an onboard camera to realise a registration of local video images with apriori registered orthophotos. This yields to a precise driftless absolute localisation of the unmanned ground vehicle. Experiments with our robotic team (AMOR and PSYCHE) successfully verify this approach.
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References
Parker L.E.: Current research in multirobot systems. 7th International Symposium on Artificial Life and Robotics, Oita, Japan, January 16–18, 2002.
Madhavan R., Fregene K. and Parker L.E.: Distributed Cooperative Outdoor Multirobot Localization and Mapping. Autonomous Robots 17(1):23–39, 2004.
Hsieh M.A., Cowley A., Keller J.F., et al.: Adaptive teams of autonomous aerial and ground robots for situational awareness. Journal of Field Robotics 24:991–1014, 2007.
Grocholsky B., Swaminathan R., Keller J., et al.: Information Driven Coordinated Air-Ground Proactive Sensing. Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2211–2216, 18–22 April, 2005.
Vaughan R.T., Sukhatme G.S., Mesa-Martinez F.J., et al.: Fly Spy: Lightweight Localization and Target Tracking for Cooperating Air and Ground Robots. In Proc. Int. Symp. Distributed Autonomous Robot Systems, 315–324, 2000.
Barber D.B., Redding J.D., McLain T.W., et al.: Vision-based Target Geolocation using a Fixed-wing Miniature Air Vehicle. J. Intell. Robotics Syst. 47(4):361–382, 2006.
Vandapel N., Donamukkala R.R. and Hebert M.: Unmanned Ground Vehicle Navigation Using Aerial Ladar Data. Intl. Journal of Robotics Research 25(1):31–51, 2006.
Kumar R., Sawhney H.S., Asmuth, J.C., et al.: Registration of video to georeferenced imagery, Proceedings of the 14th International Conference on Pattern Recognition 2:(1393–1400), 1998.
W. Seemann and K.-D. Kuhnert: Design and realisation of the highly modular and robust autonomous mobile outdoor robot AMOR. 13th IASTED International Conference on Robotics and Applications, Würzburg, Germany, August 29–31, 2007.
Kuhnert, K.-D.: Software architecture of the Autonomous Mobile Outdoor Robot AMOR. IEEE Intelligent Vehicles Symposium 2008, Eindhoven, 4–6 June, 2008.
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© 2009 Springer-Verlag Berlin Heidelberg
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Kuhnert, L., Ax, M., Langer, M., Nguyen Van, D., Kuhnert, KD. (2009). Absolute High-Precision Localisation of an Unmanned Ground Vehicle by Using Real-Time Aerial Video Imagery for Geo-referenced Orthophoto Registration. In: Dillmann, R., Beyerer, J., Stiller, C., Zöllner, J.M., Gindele, T. (eds) Autonome Mobile Systeme 2009. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10284-4_19
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DOI: https://doi.org/10.1007/978-3-642-10284-4_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10283-7
Online ISBN: 978-3-642-10284-4
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