Abstract
In this paper we present a unified localization technique for indoor-outdoor environments that allows a seamless transition between a mapped zone using laser rangefinder on-board sensors and a GPS based localization zone. Different situations are detected during the indoor-outdoor transitions, in which the sensors used change and the localization estimator has to manage them properly for a continuous localization. The quality in the GPS measurements and the zone where the robot is localized are used to determine the best instant for switching the localization parameters for adapting to the situations.
This work was partially supported by the Spanish project DPI2012-32100 and by Project DGA T04-FSE.
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References
Thrun, S., Burgard, W., Fox, D.: Probabilistic Robotics. The MIT Press (2005)
Kang, J., Kim, D., Kim, E., Kim, Y., Yoo, S., Wi, D.: Seamless mobile robot localization service framework for integrated localization systems. In: 3rd International Symposium on Wireless Pervasive Computing (ISWPC), pp. 175–179 (May 2008)
Goel, P., Roumeliotis, S.I., Sukhatme, G.: Robust localization using relative and absolute position estimates. In: Proceedings of the 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 1999, vol. 2, pp. 1134–1140 (1999)
Collier, J., Ramirez-Serrano, A.: Environment classification for indoor/outdoor robotic matching. In: Canadian Conference on Computer and Robot Vision, pp. 276–283 (2009)
Pacis, E.B., Sights, B., Ahuja, G., Kogut, G., Everett, H.R.: An adapting localization system for outdoor/indoor navigation. In: SPIE Proc. 6230: Unmanned Systems Technology VIII, Defense Security Symposium, Orlando, EEUU (April 2006)
Julier, S.J., Uhlmann, J.K.: Using covariance intersection for SLAM. Robotics and Autonomous Systems (55), 3–20 (2007)
Hentschel, M., Wulf, O., Wagner, B.: A gps and laser-based localization for urban and non-urban outdoor environments. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2008, pp. 149–154 (2008)
Gu, D., El-Sheimy, N.: Heading accuracy improvement of mems imu/dgps integrated navigation system for land vehicle. In: Position, Location and Navigation Symposium, 2008 IEEE/ION, pp. 1292–1296 (2008)
Fox, D.: Adapting the sample size in particle filters through KLD-sampling. The International Journal of Robotics Research 22(12), 985–1003 (2003)
Bar-Shalom, Y., Li, X.R., Kirubarajan, T.: Estimation with applications to tracking and navigation. John Wiley & Sons, Inc. (2001)
Minguez, J.: The obstacle-restriction method for robot obstacle avoidance in difficult environments. In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005), pp. 2284–2290 (2005)
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Urcola, P., Lorente, M.T., Villarroel, J.L., Montano, L. (2014). Seamless Indoor-Outdoor Robust Localization for Robots. In: Armada, M., Sanfeliu, A., Ferre, M. (eds) ROBOT2013: First Iberian Robotics Conference. Advances in Intelligent Systems and Computing, vol 253. Springer, Cham. https://doi.org/10.1007/978-3-319-03653-3_21
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DOI: https://doi.org/10.1007/978-3-319-03653-3_21
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03652-6
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