Demonstration abstract: Crowdsourced indoor localization and navigation with Anyplace

  title={Demonstration abstract: Crowdsourced indoor localization and navigation with Anyplace},
  author={Lambros Petrou and Georgios Larkou and Christos Laoudias and Demetrios Zeinalipour-Yazti and Christoforos Panayiotou},
  journal={IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks},
In this demonstration paper, we present the Anyplace system that relies on the abundance of sensory data on smartphones (e.g., WiFi signal strength and inertial measurements) to deliver reliable indoor geolocation information. Our system features two highly desirable properties, namely crowdsourcing and scalability. Anyplace implements a set of crowdsourcing-supportive mechanisms to handle the enormous amount of crowdsensed data, filter incorrect user contributions and exploit WiFi data from… CONTINUE READING
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