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dc.contributor.authorPotortì, Francesco
dc.contributor.authorPark, Sangjoon
dc.contributor.authorJimenez Ruiz, Antonio Ramon
dc.contributor.authorBarsocchi, Paolo
dc.contributor.authorGirolami, Michele
dc.contributor.authorCrivello, Antonino
dc.contributor.authorLee, So-Yeon
dc.contributor.authorLim, Jae Hyun
dc.contributor.authorTorres-Sospedra, Joaquín
dc.contributor.authorSeco, Fernando
dc.contributor.authorMontoliu Colás, Raul
dc.contributor.authorMendoza-Silva, Germán
dc.contributor.authorMaría del Carmen, Pérez Rubio
dc.contributor.authorCristina, Losada Gutiérrez
dc.contributor.authorEspinosa, Felipe
dc.contributor.authorMacias-Guarasa, Javier
dc.date.accessioned2017-12-21T20:09:41Z
dc.date.available2017-12-21T20:09:41Z
dc.date.issued2017
dc.identifier.citationPotortì, F.; Park, S.; Jiménez Ruiz, A.R.; Barsocchi, P.; Girolami, M.; Crivello, A.; Lee, S.Y.; Lim, J.H.; Torres-Sospedra, J.; Seco, F.; Montoliu, R.; Mendoza-Silva, G.M.; Pérez Rubio, M.D.C.; Losada-Gutiérrez, C.; Espinosa, F.; Macias-Guarasa, J. Comparing the Performance of Indoor Localization Systems through the EvAAL Framework. Sensors 2017, 17, 2327.ca_CA
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10234/171333
dc.description.abstractIn recent years, indoor localization systems have been the object of significant research activity and of growing interest for their great expected social impact and their impressive business potential. Application areas include tracking and navigation, activity monitoring, personalized advertising, Active and Assisted Living (AAL), traceability, Internet of Things (IoT) networks, and Home-land Security. In spite of the numerous research advances and the great industrial interest, no canned solutions have yet been defined. The diversity and heterogeneity of applications, scenarios, sensor and user requirements, make it difficult to create uniform solutions. From that diverse reality, a main problem is derived that consists in the lack of a consensus both in terms of the metrics and the procedures used to measure the performance of the different indoor localization and navigation proposals. This paper introduces the general lines of the EvAAL benchmarking framework, which is aimed at a fair comparison of indoor positioning systems through a challenging competition under complex, realistic conditions. To evaluate the framework capabilities, we show how it was used in the 2016 Indoor Positioning and Indoor Navigation (IPIN) Competition. The 2016 IPIN competition considered three different scenario dimensions, with a variety of use cases: (1) pedestrian versus robotic navigation, (2) smartphones versus custom hardware usage and (3) real-time positioning versus off-line post-processing. A total of four competition tracks were evaluated under the same EvAAL benchmark framework in order to validate its potential to become a standard for evaluating indoor localization solutions. The experience gained during the competition and feedback from track organizers and competitors showed that the EvAAL framework is flexible enough to successfully fit the very different tracks and appears adequate to compare indoor positioning systems.ca_CA
dc.format.extent28 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherMDPIca_CA
dc.relation.isPartOfSensors, 2017, vol. 17, núm. 10, p. 2327.ca_CA
dc.rights© 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/).ca_CA
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectindoor localizationca_CA
dc.subjectindoor navigationca_CA
dc.subjectindoor competitionca_CA
dc.subjectstandard evaluation metricsca_CA
dc.subjectbenchmarkingca_CA
dc.subjectperformance evaluationca_CA
dc.subjectActive and Assisted Livingca_CA
dc.subjectsmartphone sensorsca_CA
dc.subjectpedestrian dead deckoningca_CA
dc.titleComparing the Performance of Indoor Localization Systems through the EvAAL Frameworkca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.3390/s17102327
dc.relation.projectIDThis work was supported by the ICT R&D program of MSIP/IITP, South Korea (2017-0-00543, Development of Precise Positioning Technology for the Enhancement of Pedestrian’s Position/Spatial Cognition and Sports Competition Analysis). Parts of this work were funded by the Spanish Government through the projects TIN2013-47630-C2-1-R, TIN2015-70202-P, TIN2016-75982-C2-1-R, TEC2015-64835-C3-2-R, DPI2013-47347-C2-1-R and TARSIUS TIN2015-71564-C4-2-R, the network REPNIN TEC2015-71426-REDT, and the José Castillejo mobility programme CAS16/00072.ca_CA
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttp://www.mdpi.com/1424-8220/17/10/2327ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA


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© 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/).
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/).