Data Model for Hybrid Indoor Positioning Systems

Abstract

Indoor Positioning Systems have gained attention over the last decade. Despite of numerous attempts and solutions, there is no common standard indoor positioning system such as the GPS for outdoor environment. Smart phones seem to be a good candidate for mobile devices of indoor positioning systems due to their low cost and incidence. The sensor sets of the most popular mobile platforms are analyzed from the point of view of indoor positioning and a formal data model has been created in this paper. The presented model allows the development of hybrid indoor positioning algorithms. The data model is used to design and implement a Java library which will be used to create an indoor location and navigation framework.