Indoor tracking from multidimensional sensor data

Bibliographic Details
Main Author: Moreira, Adriano
Publication Date: 2016
Other Authors: Nicolau, Maria João, Costa, António, Meneses, Filipe
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/43865
Summary: 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.
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spelling Indoor tracking from multidimensional sensor dataindoor positioningcompetitiontrackingWiFi fingerprintingfloor detectionEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaScience & TechnologyTracking 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.This work has been supported by COMPETE: POCI-01- 0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.IEEEUniversidade do MinhoMoreira, AdrianoNicolau, Maria JoãoCosta, AntónioMeneses, Filipe2016-102016-10-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/43865engAdriano 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, 2016.978-1-5090-2425-42471-917X10.1109/IPIN.2016.7743705http://ieeexplore.ieee.org/document/7743705/info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T04:58:04Zoai:repositorium.sdum.uminho.pt:1822/43865Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:03:57.280109Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Indoor tracking from multidimensional sensor data
title Indoor tracking from multidimensional sensor data
spellingShingle Indoor tracking from multidimensional sensor data
Moreira, Adriano
indoor positioning
competition
tracking
WiFi fingerprinting
floor detection
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Science & Technology
title_short Indoor tracking from multidimensional sensor data
title_full Indoor tracking from multidimensional sensor data
title_fullStr Indoor tracking from multidimensional sensor data
title_full_unstemmed Indoor tracking from multidimensional sensor data
title_sort Indoor tracking from multidimensional sensor data
author Moreira, Adriano
author_facet Moreira, Adriano
Nicolau, Maria João
Costa, António
Meneses, Filipe
author_role author
author2 Nicolau, Maria João
Costa, António
Meneses, Filipe
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Moreira, Adriano
Nicolau, Maria João
Costa, António
Meneses, Filipe
dc.subject.por.fl_str_mv indoor positioning
competition
tracking
WiFi fingerprinting
floor detection
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Science & Technology
topic indoor positioning
competition
tracking
WiFi fingerprinting
floor detection
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Science & Technology
description 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.
publishDate 2016
dc.date.none.fl_str_mv 2016-10
2016-10-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/43865
url http://hdl.handle.net/1822/43865
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Adriano 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.
978-1-5090-2425-4
2471-917X
10.1109/IPIN.2016.7743705
http://ieeexplore.ieee.org/document/7743705/
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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