The Smartphone-Based Offline Indoor Location Competition at IPIN 2016: Analysis and FutureWork
![Thumbnail](/xmlui/bitstream/handle/10234/167921/53430.pdf.jpg?sequence=11&isAllowed=y)
View/ Open
Impact
![Google Scholar](/xmlui/themes/Mirage2/images/uji/logo_google.png)
![Microsoft Academico](/xmlui/themes/Mirage2/images/uji/logo_microsoft.png)
Metadata
Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
comunitat-uji-handle4:
INVESTIGACIONMetadata
Title
The Smartphone-Based Offline Indoor Location Competition at IPIN 2016: Analysis and FutureWorkAuthor (s)
Date
2017Publisher
MDPIISSN
1424-8220Bibliographic citation
TORRES-SOSPEDRA, Joaquín, et al. The Smartphone-Based Offline Indoor Location Competition at IPIN 2016: Analysis and Future Work. Sensors, 2017, vol. 17, no 3, p. 557Type
info:eu-repo/semantics/articlePublisher version
http://www.mdpi.com/1424-8220/17/3/557Version
info:eu-repo/semantics/publishedVersionSubject
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). ... [+]
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. [-]
Is part of
Sensors, 2017, vol. 17, núm. 3Rights
info:eu-repo/semantics/openAccess
This item appears in the folowing collection(s)
- INIT_Articles [754]
- LSI_Articles [362]
- ICC_Articles [427]
The following license files are associated with this item:
Except where otherwise noted, this item's license is described as © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).