Browsing by Subject "Location based services"

Now showing items 1-5 of 5

    • Conference Object  

      CLODA: A crowdsourced linked open data architecture 

      Larkou, G.; Metochi, J.; Chatzimilioudis, Georgios; Zeinalipour-Yazdi, Constantinos D. (2013)
      In this paper we present our Crowdsourced Linked Open Data Architecture (CLODA), a first attempt to combine crowdsourcing, localization and location-based services to generate, collect, validate and relate real-world, ...
    • 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 ...
    • Article  

      Crowdsourcing with smartphones 

      Chatzimilioudis, Georgios; Konstantinidis, Andreas; Laoudias, Christos; Zeinalipour-Yazdi, Constantinos D. (2012)
      Smartphones can reveal crowdsourcing's full potential and let users transparently contribute to complex and novel problem solving. This emerging area is illustrated through a taxonomy that classifies the mobile crowdsourcing ...
    • Conference Object  

      Indoor localization accuracy estimation from fingerprint data 

      Nikitin, A.; Laoudias, Christos; Chatzimilioudis, Georgios; Karras, P.; Zeinalipour-Yazdi, Constantinos D. (Institute of Electrical and Electronics Engineers Inc., 2017)
      The demand for indoor localization services has led to the development of techniques that create a Fingerprint Map (FM) of sensor signals (e.g., magnetic, Wi-Fi, bluetooth) at designated positions in an indoor space and ...
    • Conference Object  

      A realistic evaluation and comparison of indoor location technologies: Experiences and lessons learned 

      Lymberopoulos, D.; Liu, J.; Yang, X.; Choudhury, R. R.; Handziski, V.; Sen, S.; Lemic, F.; Busch, J.; Jiang, Z.; Zou, H.; Jiang, H.; Ashok, A.; Xu, C.; Ghose, A.; Ahmed, N.; Zhang, C.; Xiao, Z.; Wen, H.; Schmid, T.; Lee, D.; Klepal, M.; Beder, C.; Nikodem, M.; Szymczak, S.; Hoffmann, P.; Selavo, L.; Giustiniano, D.; Lenders, V.; Rea, M.; Marcaletti, A.; Laoudias, Christos; Zeinalipour-Yazdi, Constantinos D.; Tsai, Y. -K; Abrudan, T. E.; Markham, A.; Bestmann, A.; Reimann, R.; Li, L.; Zhao, C.; Adler, S.; Schmitt, S.; Lazik, P.; Rajagopal, N.; Rowe, A.; Dentamaro, V.; Colucci, D.; Ambrosini, P.; Ferraz, A. S.; Martins, L. Q. L.; Bello, P.; Alvino, A.; Sark, V.; Pirkl, G.; Hevesi, P. (Association for Computing Machinery, Inc, 2015)
      We present the results, experiences and lessons learned from comparing a diverse set of technical approaches to indoor localization during the 2014 Microsoft Indoor Localization Competition. 22 different solutions to indoor ...