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Mobile City Explorer: An innovative GPS and Camera Phone Based Travel Assistant for City Tourists

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Location Based Services and TeleCartography

Abstract

We present a concept and architecture to provide location aware travel assistance for city tourists based on a combination of wide spread conventional mobile phones with built in cameras and GPS/GALILEO receivers. Novel approaches to improve the support of tourists pre-, on- and post-trip are outlined. The Mobile City Explorer (MCE) enables city tourists to start a tour without time-consuming planning tasks. It identifies sights by taking photos, leads tourists to sights matching their interests and lets them collect multimedia impressions with their mobile phone along the tour. The travel diary stores the collected impressions, is accessible over the Internet, and allows editing and sharing with family and friends. In this paper we outline the system architecture and components that enable these new approaches.

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References

  1. Fink, J. and Kobsa, A., User Modeling for Personalized City Tours, Artificial Intelligence Review, 18(1), pp. 33–74, 2002

    Article  Google Scholar 

  2. Fritz, G., Seifert, C., and Paletta, L., Urban Object Recognition from Informative Local Features, Proc. IEEE International Conference on Robotics and Automation, ICRA 2005, Barcelona, Spain, April 18–22, pp. 132–138.

    Google Scholar 

  3. Lowe, D., Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91–110, 2004.

    Article  Google Scholar 

  4. Luley, P., Paletta, L, Almer, A., Schardt, M., Ringert, J., Geo-Services and Computer Vision for Object Awareness in Mobile System Applications, Proc. of the Symposium 2005, LBS&TC 2005, Vienna, Austria, November 28–30, 2005, pp. 61–64.

    Google Scholar 

  5. Schwab, I. and Pohl, W., Learning Information Interest from Positive Examples. In Proceedings of UM99 Workshop on Machine Learning for User Modeling. Banff, Canada, 1999

    Google Scholar 

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© 2007 Springer-Verlag Berlin Heidelberg

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Wiesenhofer, S. et al. (2007). Mobile City Explorer: An innovative GPS and Camera Phone Based Travel Assistant for City Tourists. In: Gartner, G., Cartwright, W., Peterson, M.P. (eds) Location Based Services and TeleCartography. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36728-4_39

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