There are many types of indoor and outdoor navigation tools and methodologies available. A majority of these solutions are based on Global Positioning Systems (GPS) and instant video and image processing. These approaches are ideal for open world environments where very few information about the target location is available, but for large scale building environments such as hospitals, governmental offices, etc the end-user will need more detailed information about the surrounding context which is especially important in case of people with special needs. This paper presents a smart indoor navigation solution that is based on Semantic Web technologies and Building Information Model (BIM). The proposed solution is also aligned with Google Android's concepts to enlighten the realization of results. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Shayeganfar, F., Anjomshoaa, A., & Tjoa, A. M. (2008). A smart indoor navigation solution based on building information model and google android. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5105 LNCS, pp. 1050–1056). https://doi.org/10.1007/978-3-540-70540-6_157
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