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

Joaquín Torres-Sospedra 1 Antonio Jiménez 2 Stefan Knauth 3 Adriano Moreira 4 Yair Beer 5 Toni Fetzer 6 Viet-Cuong Ta 7, 8 Raul Montoliu 1 Fernando Seco 2 Germán Mendoza-Silva 1 Oscar Belmonte 1 Athanasios Koukofikis 3 Maria João Nicolau 9, 4 António Costa 9, 10 Filipe Meneses 11 Frank Ebner 6 Frank Deinzer 6 Dominique Vaufreydaz 7, 12, 13 Trung-Kien Dao 8 Eric Castelli 8, 14
1 INIT - Institute of New Imaging Technologies
2 CAR - Centre for Automation and Robotics
3 Faculty for Geomatics, Computer Science and Mathematics
4 University of Minho [Braga]
5 BlockDox
6 Faculty of Computer Science and Business Information Systems
7 PERVASIVE INTERACTION
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
8 MICA - International Research Institute MICA
9 Algoritmi Research Centre
10 ICREA - Institució Catalana de Recerca i Estudis Avançats [Barcelona]
11 CCG - Centro de Computação Gráfica
12 UGA - Université Grenoble Alpes
13 LIG - Laboratoire d'Informatique de Grenoble
14 Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : 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 : evaluation and benchmarking smartphone applications indoor localization technology indoor navigation
Type de document :
Article dans une revue
Sensors, MDPI, 2017, 557, pp.17. 〈10.3390/s17030557〉
Liste complète des métadonnées
https://hal.inria.fr/hal-01490744
Contributeur : Dominique Vaufreydaz <>
Soumis le : mercredi 15 mars 2017 - 18:04:28
Dernière modification le : jeudi 11 octobre 2018 - 08:48:05

Fichier

sensors-17-00557.pdf
Publication financée par une institution

Licence

Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Collections

LIG_SRCPR | INRIA | LIG | LIG-SIC-PERVASIVE-INTERACTION | UGA | INRIA2017

Citation

Joaquín Torres-Sospedra, Antonio Jiménez, Stefan Knauth, Adriano Moreira, Yair Beer, et al.. The Smartphone-Based Offline Indoor Location Competition at IPIN 2016: Analysis and Future Work. Sensors, MDPI, 2017, 557, pp.17. 〈10.3390/s17030557〉. 〈hal-01490744〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

991

Téléchargements de fichiers

233

Contact


archive-ouverte@inria.fr