PerPos: a platform providing cloud services for pervasive positioning

  • Authors:
  • Henrik Blunck;Torben Godsk;Kaj Grønbæk;Mikkel B. Kjærgaard;Jakob L. Jensen;Tejs Scharling;Kari R. Schougaard;Thomas Toftkjær

  • Affiliations:
  • Aarhus University;DAAS, National Centre;Aarhus University;Aarhus University;Aarhus University;Alexandra Institute A/S;Aarhus University;Systematic A/S

  • Venue:
  • Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application
  • Year:
  • 2010

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Abstract

This paper describes the PerPos platform and the services it provides for positioning and location-based applications. The services provided range from specific utility services to full applications that can be deployed in several ways, e.g. integrated in special purpose applications on mobile devices or as full applications running on ordinary Web-browsers. PerPos furthermore provides APIs for developing positioning utilities and location-based applications. An example of a utility service is a power reduction service for mobile devices, and an example of a SaaS application is a Web-based building model manager that allows users to manage building models stored in the PerPos cloud for annotation, logging, and navigation purposes. A core service in the PerPos platform is sensor fusion for positioning that makes it seamless and efficient to combine a rich set of position sensors to obtain more reliable position and movement data particularly in indoor environments. The PerPos platform and examples of its services are discussed together with the initial experiences with applying those services in application domains such as fire fighting, tracking the behavior of livestock, and indoor navigation support.