Use of negative information in positioning and tracking algorithms

Detalhes bibliográficos
Autor(a) principal: Albano, Michele
Data de Publicação: 2013
Outros Autores: Hadzic, Senka, Rodriguez, Jonathan
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/3542
Resumo: 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 Científico do Instituto Politécnico do PortoAlbano, MicheleHadzic, SenkaRodriguez, Jonathan2014-01-31T11:21:08Z20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/3542eng1018-486410.1007/s11235-013-9698-xinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:43:23Zoai:recipp.ipp.pt:10400.22/3542Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:24:34.665756Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
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 Científico do Instituto Politécnico do 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
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:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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