Abstract
Indoor navigation is an important research topic nowadays. The complexity of larger buildings, supermarkets, museums, etc. makes it necessary to use applications which can facilitate the orientation. While for outdoor navigation already exist tried and tested solutions, but few reliable ones are available for indoor navigation. In this paper we investigate the possible technologies for indoor navigation. Then, we present a general, cost effective system as a solution. This system uses the advantages of semantic web to store data and to compute the possible paths as well. Furthermore it uses Augmented Reality techniques and map view to provide interaction with the users. We made a prototype based on client-server architecture. The server runs in a cloud and provides the appropriate data to the client, which can be a smartphone or a tablet with Android operation system.
Chapter PDF
Similar content being viewed by others
References
Want, R., Hopper, A., Falcão, V., Gibbons, J.: The active badge location system. ACM Transactions on Information Systems 10(1), 91–102 (1992)
Addlesee, M., Curwen, R., Hodges, S., Newman, J., Steggles, P., Ward, A., Hopper, A.: Implementing a sentient computing system. Computer 34(8), 50–56 (2001)
Otsason, V., Varshavsky, A., LaMarca, A., De Lara, E.: Accurate GSM indoor localization. In: Beigl, M., Intille, S.S., Rekimoto, J., Tokuda, H. (eds.) UbiComp 2005. LNCS, vol. 3660, pp. 141–158. Springer, Heidelberg (2005)
Zandbergen, P.A.: Comparison of WiFi positioning on two mobile devices. Journal of Location Based Services 6(1), 35–50 (2012)
Kessel, M., Werner, M.: SMARTPOS: Accurate and Precise Indoor Positioning on Mobile Phones. In: Proceedings of the 1st International Conference on Mobile Services, Resources, and Users, Barcelona, pp. 158–163 (2011)
Grossmann, U., Schauch, M., Hakobyan, S.: RSSI based WLAN indoor positioning with personal digital assistants. In: Proceedings of the 4th IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Dortmund, pp. 653–656 (2007)
Merico, D., Bisiani, R.: Indoor navigation with minimal infrastructure. In: 4th Workshop on Positioning, Navigation and Communication, pp. 141–144. IEEE Press, Milan (2007)
Hile, H., Borriello, G.: Information overlay for camera phones in indoor environments. In: Hightower, J., Schiele, B., Strang, T. (eds.) LoCA 2007. LNCS, vol. 4718, pp. 68–84. Springer, Heidelberg (2007)
Miyashita, T., Meier, P., Tachikawa, T., Orlic, S., Eble, T., Scholz, V., Gapel, A.: O. Gerl, Arnaudov, S., Lieberknecht, S.: An augmented reality museum guide. In: Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality, pp. 103–106. IEEE Press, Cambridge (2008)
Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Scientific American 284(5), 28–37 (2001)
Lassila, O., Swick, R.R.: Resource Description Framework (RDF) Schema Specification, http://www.w3.org/TR/rdf-schema
Prud’hommeaux, E., Seaborne, A.: SPARQL Query Language for RDF, http://www.w3.org/TR/rdf-sparql-query/
Huang, H., Gartner, G.: A survey of mobile indoor navigation systems. In: Gartner, G., Ortags, F. (eds.) Cartography in Central and Eastern Europe. LNG&C, pp. 305–319. Springer (2010)
Baus, J., Krüger, A., Wahlster, W.: A resource-adaptive mobile navigation system. In: Proceedings of the 7th International Conference on Intelligent User Interfaces, pp. 15–22. ACM, San Francisco (2002)
Schmalstieg, D., Reitmayr, G.: The world as a user interface: Augmented Reality for ubiquitous computing. In: Gartner, G., Cartwright, C., Peterson, M.P. (eds.) Location Based Services and TeleCartography. LNG&C, pp. 369–391. Springer (2007)
Mulloni, A., Wagner, D., Barakonyi, I., Schmalstieg, D.: Indoor Positioning and Navigation with Camera Phones. IEEE Pervasive Computing 8(2), 22–31 (2009)
Mulloni, A., Seichter, H., Schmalstieg, D.: Handheld Augmented Reality Indoor Navigation with Activity-based Instructions. In: Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services, pp. 211–220. ACM, Stockholm (2011)
Link, J.Á.B., Smith, P., Viol, N., Wehrle, K.: FootPath: Accurate Map-based Indoor Navigation Using Smartphones. In: Proceedings of the 2011 International Conference on Indoor Positioning and Indoor Navigation, Guimaraes, pp. 1–8 (2011)
Haklay, M., Weber, P.: Openstreetmap: User-generated street maps. IEEE Pervasive Computting 7(4), 12–18 (2008)
Anagnostopoulos, C., Tsetsos, V., Kikiras, P.: OntoNav: A semantic indoor navigation system. In: 1st Workshop on Semantics in Mobile Environments, Ayia Napa (2005)
Li, M., Mahnkopf, L., Kobbelt, L.: The Design of a Segway AR-Tactile Navigation System. In: Kay, J., Lukowicz, P., Tokuda, H., Olivier, P., Krüger, A. (eds.) Pervasive 2012. LNCS, vol. 7319, pp. 161–178. Springer, Heidelberg (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Matuszka, T., Gombos, G., Kiss, A. (2013). A New Approach for Indoor Navigation Using Semantic Webtechnologies and Augmented Reality. In: Shumaker, R. (eds) Virtual Augmented and Mixed Reality. Designing and Developing Augmented and Virtual Environments. VAMR 2013. Lecture Notes in Computer Science, vol 8021. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39405-8_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-39405-8_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39404-1
Online ISBN: 978-3-642-39405-8
eBook Packages: Computer ScienceComputer Science (R0)