Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/46107

TitleThe smartphone-based offline indoor location competition at IPIN 2016: analysis and future work
Author(s)Torres-Sospedra, Joaquín
Jiménez, Antonio R.
Knauth, Stefan
Moreira, Adriano
Beer, Yair
Fetzer, Toni
Viet-Cuong Ta
Nicolau, Maria João
Costa, António
Meneses, Filipe
KeywordsIndoor localization technology
Indoor navigation
Smartphone applications
Evaluation and benchmarking
Issue date10-Mar-2017
PublisherMDPI
JournalSensors
CitationTorres-Sospedra, Joaquín, et al. "The Smartphone-Based Offline Indoor Location Competition at IPIN 2016: Analysis and Future Work." Sensors 17.3 (2017): 557
Abstract(s)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.
TypeArticle
URIhttp://hdl.handle.net/1822/46107
DOI10.3390/s17030557
ISSN1424-8220
Publisher versionhttp://www.mdpi.com/1424-8220/17/3/557/htm
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

Files in This Item:
File Description SizeFormat 
2017_JTS_ACM.pdf8,51 MBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID