Abstract
In this paper we provide a method of handling loop closings in a simultaneous localization and mapping (SLAM) problem by employing indoor magnetic measurements and pose graph optimization. Since the magnetic field in indoor environments has unique spatial features, we can exploit these characteristics to generate the constraints for the pose graph-based SLAM. Specifically, whenever certain motion conditions are satisfied, a series of robot poses along with their magnetic measurements can be grouped into a sequence. A loop closing algorithm is then proposed based on the sequence and applied to the pose graph optimization. Experimental results show that the proposed SLAM system with only wheel encoders and a single magnetometer obtains comparable results with a reference-level SLAM system in terms of robot trajectory, by correctly detecting the loop closings.
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References
Thrun, S., Burgard, W., Fox, D.: Probabilistic Robotics. The MIT Press, Cambridge (2005)
Fernandez-Madrigeal, J., Claraco, J.L.: Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods. Information Science Reference, Hershey (2013)
Kuemmerle, R., Grisetti, G., Strasdat, H., Konolige, K., Burgard, W.: g2o: A general framework for graph optimization. In: Proc. IEEE International Conference on Robotics and Automation (ICRA2011), Shanghai, China, pp. 3607–3613 (May 2011)
Kaess, M., Johannsson, H., Roberts, R., Ila, V., Leonard, J., Dellaert, F.: iSAM2: Incremental smoothing and mapping using the Bayes tree. The International Journal of Robotics Research 31, 217–236 (2012)
Lee, D., Myung, H.: Solution to the SLAM problem in low dynamic environments using a pose graph and an RGB-D sensor. Sensors 14(7), 12467–12496 (2014)
Afzal, M., Renaudin, V., Lachapelle, G.: Magnetic field based heading estimation for pedestrian navigation environments. In: Proc. IEEE International Conference on Indoor Positioning and Indoor Navigation (IPIN2011), Guimaraes, Portugal, pp. 1–10 (September 2011)
Bird, J., Arden, D.: Indoor navigation with foot-mounted strapdown inertial navigation and magnetic sensors [emerging opportunities for localization and tracking]. IEEE Wireless Commun. Mag. 18(2), 28–35 (2011)
Haverinen, J., Kemppainen, A.: A geomagnetic field based positioning technique for underground mines. In: Proc. IEEE International Symposium on Robotic and Sensors Environments (ROSE2011), Montreal, QC, pp. 7–12 (September 2011)
Zhang, H., Martin, F.: Robotic mapping assisted by local magnetic field anomalies. In: Proc. IEEE International Conference on Technologies for Practical Robot Applications (TePRA 2011), Woburn, MA, pp. 25–30 (April 2011)
Vallivaara, I., Haverinen, J., Kemppainen, A., Roning, J.: Magenetic field-based SLAM method for solving the localization problem in mobile robot floor-cleaning task. In: Proc. IEEE International Conference on Advanced Robotics (ICAR2011), Tallinn, Estonia, pp. 198–203 (June 2011)
Frassl, M., Angermann, M., Lichtenstern, M., Robertson, P., Julian, B., Doniec, M.: Magnetic maps of indoor environments for precise localization of legged and non-legged locomotion. In: Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013), Tokyo, Japan, pp. 913–920 (November 2013)
Jung, J., Lee, S., Myung, H.: Indoor mobile robot localization using ambient magnetic fields and radio sources. In: Proc. International Conference on Robot Intelligence Technology (RiTA 2013), Denver, USA (December 2013)
Gozick, B., Subbu, K., Dantu, R., Maeshiro, T.: Magnetic maps for indoor navigation. IEEE Trans. Instrum. Meas. 60(12), 3883–3891 (2011)
Angermann, M., Frassl, M., Doniecy, M., Julianyz, B., Robertson, P.: Characterization of the indoor magnetic field for applications in localization and mapping. In: Proc. IEEE International Conference on Indoor Positioning and Indoor Navigation (IPIN2012), Sydney, NSW, pp. 1–9 (November 2012)
Cha, S.: Comprehensive survey on distance/similarity measures between probability density functions. International Journal of Mathematical Models and Methods in Applied Sciences 1(4), 300–307 (2007)
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Jung, J., Myung, H. (2015). Pose-Sequence-Based Graph Optimization Using Indoor Magnetic Field Measurements. In: Kim, JH., Yang, W., Jo, J., Sincak, P., Myung, H. (eds) Robot Intelligence Technology and Applications 3. Advances in Intelligent Systems and Computing, vol 345. Springer, Cham. https://doi.org/10.1007/978-3-319-16841-8_66
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DOI: https://doi.org/10.1007/978-3-319-16841-8_66
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16840-1
Online ISBN: 978-3-319-16841-8
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