A realistic evaluation and comparison of indoor location technologies: Experiences and lessons learned
Date
2015Author
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.
ISBN
978-1-4503-3475-4Publisher
Association for Computing Machinery, IncSource
IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)14th International Symposium on Information Processing in Sensor Networks, IPSN 2015
Pages
178-189Google Scholar check
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Metadata
Show full item recordAbstract
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 localization from different teams around the world were put to test in the same unfamiliar space over the course of 2 days, allowing us to directly compare the accuracy and overhead of various technologies. In this paper, we provide a detailed analysis of the evaluation study's results, discuss the current state-of-the-art in indoor localization, and highlight the areas that, based on our experience from organizing this event, need to be improved to enable the adoption of indoor location services. Copyright 2015 ACM.