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

AuthorsTorres-Sospedra, Joaquín; Jiménez Ruiz, Antonio R. ; Knauth, Stefan; Moreira, Adriano; Beer, Yair; Fetzer, Toni; Ta, Viet-Cuong; Montoliu, Raúl; Seco Granja, Fernando ; Mendoza-Silva, Germán M.; Belmonte, Óscar; Koukofikis, Athanasios; Nicolau, Maria João; Costa, Antonio; Meneses, Filipe; Ebner, Frank; Deinzer, Frank; Vaufreydaz, Dominique; Dao, Trung-Kien; Castelli, Eric
Issue Date10-Mar-2017
PublisherMultidisciplinary Digital Publishing Institute
CitationSensors 17 (3): 557 (2017)
AbstractThis 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.
Publisher version (URL)http://doi.org/10.3390/s17030557
Identifiersdoi: 10.3390/s17030557
Appears in Collections:(CAR) Artículos
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