Abstract
The knowledge of the position of a user is valuable for a broad range of applications in the field of pervasive computing. Different techniques have been developed to cope with the problem of uncertainty, noisy sensors, and sensor fusion.
In this paper we present a method, which is efficient in time- and space-complexity, and that provides a high scalability for in- and outdoor-positioning. The so-called geo referenced dynamic Bayesian networks enable the calculation of a user’s position on his own small hand-held device (e.g., Pocket PC) without a connection to an external server. Thus, privacy issues are considered and completely in the hand of the user.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Russell, S.J., Norvig, P.: Artificial Intelligence, A Modern Approach, 2nd edn., pp. 492–580. Pearson Education, London (2003)
Fox, D., Hightower, J., Liao, L., Schulz, D., Borriello, G.: Bayesian filtering for location estimation. IEEE Pervasive Computing 2, 24–33 (2002)
Want, R., Hopper, A., Falcao, V., Gibbons, J.: The Active Badge Location System. ACM Transanctions on Information Systems 10, 91–102 (1992)
Harter, A., Hopper, A., Steggles, P., Wart, A., Webster, P.: The anatomy of a context-aware application. In: 5th Annual ACM/IEEE International Conference on Mobile Computing and Networking (Mobicom 1999) (1999)
Ubisense Unlimited: Ubisense (2004), http://www.ubisense.net
Ni, L.M., Liu, Y., Lau, Y.C., Patil, A.P.: Landmarc: Indoor location sensing using active RFID. In: IEEE International Conference in Pervasive Computing and Communications 2003 (Percom 2003) (2003)
Amemiya, T., Yamashita, J., Hirota, K., Hirose, M.: Virtual Leading Blocks for the Deaf-Blind: A Real-Time Way-Finder by Verbal-Nonverbal Hybrid Interface and High-Density RFID Tag Space. In: Proceedings of the 2004 Virtual Reality (VR 2004), IEEE Virtual Reality, pp. 165–172 (2004)
Darwiche, A.: A differential approach to inference in Bayesian networks. Journal of the Association for Computing Machinery 50, 280–305 (2003)
Brandherm, B., Jameson, A.: An extension of the differential approach for Bayesian network inference to dynamic Bayesian networks. International Journal of Intelligent Systems 19, 727–748 (2004)
Krüger, A., Butz, A., Müller, C., Stahl, C., Wasinger, R., Steinberg, K.E., Dirschl, A.: The Connected User Interface: Realizing a Personal Situated Navigation Service. In: IUI - 2004 International Conference on Intelligent User Interfaces. ACM Press, New York (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Brandherm, B., Schwartz, T. (2005). Geo Referenced Dynamic Bayesian Networks for User Positioning on Mobile Systems. In: Strang, T., Linnhoff-Popien, C. (eds) Location- and Context-Awareness. LoCA 2005. Lecture Notes in Computer Science, vol 3479. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11426646_21
Download citation
DOI: https://doi.org/10.1007/11426646_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25896-4
Online ISBN: 978-3-540-32042-5
eBook Packages: Computer ScienceComputer Science (R0)