Use of negative information in positioning and tracking algorithms

Bibliographic Details
Main Author: Albano, Michele
Publication Date: 2013
Other Authors: Hadzic, Senka, Rodriguez, Jonathan
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.22/3542
Summary: To avoid additional hardware deployment, indoor localization systems have to be designed in such a way that they rely on existing infrastructure only. Besides the processing of measurements between nodes, localization procedure can include the information of all available environment information. In order to enhance the performance of Wi-Fi based localization systems, the innovative solution presented in this paper considers also the negative information. An indoor tracking method inspired by Kalman filtering is also proposed.
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spelling Use of negative information in positioning and tracking algorithmsDistance estimationData fusionTo avoid additional hardware deployment, indoor localization systems have to be designed in such a way that they rely on existing infrastructure only. Besides the processing of measurements between nodes, localization procedure can include the information of all available environment information. In order to enhance the performance of Wi-Fi based localization systems, the innovative solution presented in this paper considers also the negative information. An indoor tracking method inspired by Kalman filtering is also proposed.SpringerREPOSITÓRIO P.PORTOAlbano, MicheleHadzic, SenkaRodriguez, Jonathan2014-01-31T11:21:08Z20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/3542eng1018-48641572-945110.1007/s11235-013-9698-xinfo: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:RCAAP2025-04-02T02:54:23Zoai:recipp.ipp.pt:10400.22/3542Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:27:20.422473Repositórios 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 Use of negative information in positioning and tracking algorithms
title Use of negative information in positioning and tracking algorithms
spellingShingle Use of negative information in positioning and tracking algorithms
Albano, Michele
Distance estimation
Data fusion
title_short Use of negative information in positioning and tracking algorithms
title_full Use of negative information in positioning and tracking algorithms
title_fullStr Use of negative information in positioning and tracking algorithms
title_full_unstemmed Use of negative information in positioning and tracking algorithms
title_sort Use of negative information in positioning and tracking algorithms
author Albano, Michele
author_facet Albano, Michele
Hadzic, Senka
Rodriguez, Jonathan
author_role author
author2 Hadzic, Senka
Rodriguez, Jonathan
author2_role author
author
dc.contributor.none.fl_str_mv REPOSITÓRIO P.PORTO
dc.contributor.author.fl_str_mv Albano, Michele
Hadzic, Senka
Rodriguez, Jonathan
dc.subject.por.fl_str_mv Distance estimation
Data fusion
topic Distance estimation
Data fusion
description To avoid additional hardware deployment, indoor localization systems have to be designed in such a way that they rely on existing infrastructure only. Besides the processing of measurements between nodes, localization procedure can include the information of all available environment information. In order to enhance the performance of Wi-Fi based localization systems, the innovative solution presented in this paper considers also the negative information. An indoor tracking method inspired by Kalman filtering is also proposed.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01T00:00:00Z
2014-01-31T11:21:08Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/3542
url http://hdl.handle.net/10400.22/3542
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1018-4864
1572-9451
10.1007/s11235-013-9698-x
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 Springer
publisher.none.fl_str_mv Springer
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
_version_ 1833600542558912512

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