Sensors (Mar 2017)

The Smartphone-Based Offline Indoor Location Competition at IPIN 2016: Analysis and Future Work

  • Joaquín Torres-Sospedra,
  • Antonio R. Jiménez,
  • Stefan Knauth,
  • Adriano Moreira,
  • Yair Beer,
  • Toni Fetzer,
  • Viet-Cuong Ta,
  • Raul Montoliu,
  • Fernando Seco,
  • Germán M. Mendoza-Silva,
  • Oscar Belmonte,
  • Athanasios Koukofikis,
  • Maria João Nicolau,
  • António Costa,
  • Filipe Meneses,
  • Frank Ebner,
  • Frank Deinzer,
  • Dominique Vaufreydaz,
  • Trung-Kien Dao,
  • Eric Castelli

DOI
https://doi.org/10.3390/s17030557
Journal volume & issue
Vol. 17, no. 3
p. 557

Abstract

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This paper presents the analysis and discussion of the off-site localization competition track, which took place during the Seventh International Conference on Indoor Positioning and Indoor Navigation (IPIN 2016). Five international teams proposed different strategies for smartphone-based indoor positioning using the same reference data. The competitors were provided with several smartphone-collected signal datasets, some of which were used for training (known trajectories), and others for evaluating (unknown trajectories). The competition permits a coherent evaluation method of the competitors’ estimations, where inside information to fine-tune their systems is not offered, and thus provides, in our opinion, a good starting point to introduce a fair comparison between the smartphone-based systems found in the literature. The methodology, experience, feedback from competitors and future working lines are described.

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