Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/43865

TitleIndoor tracking from multidimensional sensor data
Author(s)Moreira, Adriano
Nicolau, Maria João
Costa, António
Meneses, Filipe
Keywordsindoor positioning
competition
tracking
WiFi fingerprinting
floor detection
Issue dateOct-2016
PublisherIEEE
JournalInternational Conference on Indoor Positioning and Indoor Navigation
CitationAdriano Moreira, Maria João Nicolau, António Costa, Filipe Meneses, “Indoor tracking from multidimensional sensor data”, in proceedings of the 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 4-7 October, Alcalá de Henares, Madrid, Spain, 2016.
Abstract(s)Tracking the position of people or vehicles in large indoor settings with high accuracy is still a challenge despite the significant progress observed in indoor positioning technology in the last decade. To date, there is not a clearly dominant indoor positioning solution for general use, and challenges related to seamless indoor-outdoor positioning, reliable floor estimation and indoor maps are still needing more research. In this context, the IPIN 2016 conference is promoting a competition to evaluate a set of competing indoor positioning solutions in a realistic scenario. This paper describes the proposal of the UMINHO team and some of the obtained results.
TypeConference paper
URIhttp://hdl.handle.net/1822/43865
ISBN978-1-5090-2425-4
978-1-5090-2424-7
978-1-5090-2426-1
DOI10.1109/IPIN.2016.7743705
ISSN2471-917X
Publisher versionhttp://ieeexplore.ieee.org/document/7743705/
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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