Browsing Τμήμα Πληροφορικής / Department of Computer Science by Author "Panayiotou, Christos G."

Now showing items 1-5 of 5

    • Conference Object  

      The airplace indoor positioning platform for Android smartphones 

      Laoudias, Christos; Constantinou, George; Constantinides, Marios; Nicolaou, Silouanos; Zeinalipour-Yazdi, Constantinos D.; Panayiotou, Christos G. (2012)
      In this demonstration paper, we present an indoor positioning system developed for Android smartphones, coined Airplace. To infer the unknown user location we rely on ubiquitous WLANs and exploit Received Signal Strength ...
    • Conference Object  

      Crowdsourced indoor localization for diverse devices through radiomap fusion 

      Laoudias, Christos; Zeinalipour-Yazdi, Constantinos D.; Panayiotou, Christos G. (IEEE Computer Society, 2013)
      Crowdsourcing is an emerging field that allows to tackle difficult problems by soliciting contributions from common people, rather than trained professionals. In the post-pc era, where smartphones dominate the personal ...
    • Conference Object  

      Demo: Indoor geolocation on multi-sensor smartphones 

      Li, C. -L; Laoudias, Christos; Larkou, G.; Tsai, Y. -K; Zeinalipour-Yazdi, Constantinos D.; Panayiotou, Christos G. (2013)
      In this demo, we present an efficient hybrid indoor positioning solution that uses multi-sensory location-oriented observations, including WiFi, accelerometer, gyroscope and digital compass data, that are widely available ...
    • Conference Object  

      Demonstration abstract: Crowdsourced indoor localization and navigation with Anyplace 

      Petrou, L.; Larkou, G.; Laoudias, Christos; Zeinalipour-Yazdi, Constantinos D.; Panayiotou, Christos G. (IEEE Computer Society, 2014)
      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. ...
    • Conference Object  

      A Qualitative and Quantitative Evaluation of Differential Signal Strength Fingerprinting Methods 

      Laoudias, Christos; Kim, Sunwoo; Zeinalipour-Yazti, Demetrios; Panayiotou, Christos G. (2019)
      Indoor location systems that rely on WiFi signal strength values from the existing building infrastructure deliver adequate accuracy with no installation cost at the expense of time and effort to populate the signal database. ...