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dc.contributor.authorRenaudin, Valerie
dc.contributor.authorOrtiz, Miguel
dc.contributor.authorPERUL, Johan
dc.contributor.authorTorres-Sospedra, Joaquín
dc.contributor.authorJiménez, Antonio R.
dc.contributor.authorPerez-Navarro, Antoni
dc.contributor.authorMendoza-Silva, Germán Martín
dc.contributor.authorSeco, Fernando
dc.contributor.authorLandau, Yael
dc.contributor.authorMarbel, Revital
dc.contributor.authorBen-Moshe, Boaz
dc.contributor.authorZheng, Xingyu
dc.contributor.authorFeng, Ye
dc.contributor.authorKuang, Jian
dc.contributor.authorLi, Yu
dc.contributor.authorNiu, Xiaoji
dc.contributor.authorLanda, Vlad
dc.contributor.authorHacohen, Shlomi
dc.contributor.authorshvalb, Nir
dc.contributor.authorLu, Chuanhua
dc.contributor.authorUchiyama, Hideaki
dc.date.accessioned2020-10-16T11:29:30Z
dc.date.available2020-10-16T11:29:30Z
dc.date.issued2019-09-30
dc.identifier.citationRENAUDIN, Valerie, et al. Evaluating indoor positioning systems in a shopping mall: The lessons learned from the IPIN 2018 competition. IEEE Access, 2019, vol. 7, p. 148594-148628.ca_CA
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/10234/189979
dc.description.abstractThe Indoor Positioning and Indoor Navigation (IPIN) conference holds an annual competition in which indoor localization systems from different research groups worldwide are evaluated empirically. The objective of this competition is to establish a systematic evaluation methodology with rigorous metrics both for real-time (on-site) and post-processing (off-site) situations, in a realistic environment unfamiliar to the prototype developers. For the IPIN 2018 conference, this competition was held on September 22nd, 2018, in Atlantis, a large shopping mall in Nantes (France). Four competition tracks (two on-site and two off-site) were designed. They consisted of several 1 km routes traversing several floors of the mall. Along these paths, 180 points were topographically surveyed with a 10 cm accuracy, to serve as ground truth landmarks, combining theodolite measurements, differential global navigation satellite system (GNSS) and 3D scanner systems. 34 teams effectively competed. The accuracy score corresponds to the third quartile (75 th percentile) of an error metric that combines the horizontal positioning error and the floor detection. The best results for the on-site tracks showed an accuracy score of 11.70 m (Track 1) and 5.50 m (Track 2), while the best results for the off-site tracks showed an accuracy score of 0.90 m (Track 3) and 1.30 m (Track 4). These results showed that it is possible to obtain high accuracy indoor positioning solutions in large, realistic environments using wearable light-weight sensors without deploying any beacon. This paper describes the organization work of the tracks, analyzes the methodology used to quantify the results, reviews the lessons learned from the competition and discusses its future.ca_CA
dc.format.extent35 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherIEEEca_CA
dc.relation.isPartOfIEEE Access, 2019, vol. 7ca_CA
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.subjectIPINca_CA
dc.subjectcompetitionca_CA
dc.subjectindoor positioningca_CA
dc.subjectsmartphoneca_CA
dc.titleEvaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned From the IPIN 2018 Competitionca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://doi.org/10.1109/ACCESS.2019.2944389
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://ieeexplore.ieee.org/abstract/document/8852722ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA


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