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
Affiliations
Joaquín Torres-Sospedra
Institute of New Imaging Technologies, Universitat Jaume I, 12071 Castelló, Spain
Antonio R. Jiménez
Centre for Automation and Robotics (CAR), CSIC-UPM, 28500 Arganda del Rey, Spain
Stefan Knauth
Faculty for Geomatics, Computer Science and Mathematics, HFT Stuttgart—University of Applied Sciences, 70174 Stuttgart, Germany
Adriano Moreira
Algoritmi Research Centre, University of Minho, 4800-058 Guimarães, Portugal
Yair Beer
BlockDox, 129 Finchley Road, NW3 6HY London, UK
Toni Fetzer
Faculty of Computer Science and Business Information Systems, University of Applied Sciences Würzburg-Schweinfurt, 97070 Würzburg, Germany
Viet-Cuong Ta
MICA Institute (HUST-CNRS/UMI2954-Grenoble INP), Hanoi University of Science and Technology, 100000 Hanoi, Vietnam
Raul Montoliu
Institute of New Imaging Technologies, Universitat Jaume I, 12071 Castelló, Spain
Fernando Seco
Centre for Automation and Robotics (CAR), CSIC-UPM, 28500 Arganda del Rey, Spain
Germán M. Mendoza-Silva
Institute of New Imaging Technologies, Universitat Jaume I, 12071 Castelló, Spain
Oscar Belmonte
Institute of New Imaging Technologies, Universitat Jaume I, 12071 Castelló, Spain
Athanasios Koukofikis
Faculty for Geomatics, Computer Science and Mathematics, HFT Stuttgart—University of Applied Sciences, 70174 Stuttgart, Germany
Maria João Nicolau
Algoritmi Research Centre, University of Minho, 4800-058 Guimarães, Portugal
António Costa
Algoritmi Research Centre, University of Minho, 4800-058 Guimarães, Portugal
Filipe Meneses
Centro de Computação Gráfica (CCG), 4800-058 Guimarães, Portugal
Frank Ebner
Faculty of Computer Science and Business Information Systems, University of Applied Sciences Würzburg-Schweinfurt, 97070 Würzburg, Germany
Frank Deinzer
Faculty of Computer Science and Business Information Systems, University of Applied Sciences Würzburg-Schweinfurt, 97070 Würzburg, Germany
Dominique Vaufreydaz
Pervasive Interaction/LIG, CNRS, Université Grenoble Alpes, Inria, LIG, F-38000 Grenoble, France
Trung-Kien Dao
MICA Institute (HUST-CNRS/UMI2954-Grenoble INP), Hanoi University of Science and Technology, 100000 Hanoi, Vietnam
Eric Castelli
MICA Institute (HUST-CNRS/UMI2954-Grenoble INP), Hanoi University of Science and Technology, 100000 Hanoi, Vietnam
DOI
https://doi.org/10.3390/s17030557
Journal volume & issue
Vol. 17,
no. 3
p.
557
Abstract
Read online
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.
Keywords
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