An Improved Indoor Positioning System Using RGB-D Cameras and Wireless Networks for Use in Complex Environments

This work presents an Indoor Positioning System to estimate the location of people navigating in complex indoor environments. The developed technique combines WiFi Positioning Systems and depth maps, delivering promising results in complex inhabited environments, consisting of various connected room...

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Detalles Bibliográficos
Autores: Duque Domingo, Jaime, Valero Rodríguez, Enrique, Cerrada Somolinos, Carlos, Cerrada Somolinos, José Antonio
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universidad Nacional de Educación a Distancia
Repositorio:e-spacio. Repositorio Institucional de la UNED
Idioma:inglés
OAI Identifier:oai:e-spacio.uned.es:20.500.14468/12375
Acceso en línea:https://hdl.handle.net/20.500.14468/12375
Access Level:acceso abierto
Palabra clave:indoor positioning
WPS
RGB-D sensors
WiFi
fingerprinting
trajectory
skeletons
depth map
IPS
Kinect
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repository_id_str
spelling An Improved Indoor Positioning System Using RGB-D Cameras and Wireless Networks for Use in Complex EnvironmentsDuque Domingo, JaimeValero Rodríguez, EnriqueCerrada Somolinos, CarlosCerrada Somolinos, José Antonioindoor positioningWPSRGB-D sensorsWiFifingerprintingtrajectoryskeletonsdepth mapIPSKinectThis work presents an Indoor Positioning System to estimate the location of people navigating in complex indoor environments. The developed technique combines WiFi Positioning Systems and depth maps, delivering promising results in complex inhabited environments, consisting of various connected rooms, where people are freely moving. This is a non-intrusive system in which personal information about subjects is not needed and, although RGB-D cameras are installed in the sensing area, users are only required to carry their smart-phones. In this article, the methods developed to combine the above-mentioned technologies and the experiments performed to test the system are detailed. The obtained results show a significant improvement in terms of accuracy and performance with respect to previous WiFi-based solutions as well as an extension in the range of operation.MDPIe-Spacio UNED20242024-05-2020172017-10-2020172017-10-20journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14468/12375reponame:e-spacio. Repositorio Institucional de la UNEDinstname:Universidad Nacional de Educación a DistanciaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/deed.esoai:e-spacio.uned.es:20.500.14468/123752026-06-06T12:38:31Z
dc.title.none.fl_str_mv An Improved Indoor Positioning System Using RGB-D Cameras and Wireless Networks for Use in Complex Environments
title An Improved Indoor Positioning System Using RGB-D Cameras and Wireless Networks for Use in Complex Environments
spellingShingle An Improved Indoor Positioning System Using RGB-D Cameras and Wireless Networks for Use in Complex Environments
Duque Domingo, Jaime
indoor positioning
WPS
RGB-D sensors
WiFi
fingerprinting
trajectory
skeletons
depth map
IPS
Kinect
title_short An Improved Indoor Positioning System Using RGB-D Cameras and Wireless Networks for Use in Complex Environments
title_full An Improved Indoor Positioning System Using RGB-D Cameras and Wireless Networks for Use in Complex Environments
title_fullStr An Improved Indoor Positioning System Using RGB-D Cameras and Wireless Networks for Use in Complex Environments
title_full_unstemmed An Improved Indoor Positioning System Using RGB-D Cameras and Wireless Networks for Use in Complex Environments
title_sort An Improved Indoor Positioning System Using RGB-D Cameras and Wireless Networks for Use in Complex Environments
dc.creator.none.fl_str_mv Duque Domingo, Jaime
Valero Rodríguez, Enrique
Cerrada Somolinos, Carlos
Cerrada Somolinos, José Antonio
author Duque Domingo, Jaime
author_facet Duque Domingo, Jaime
Valero Rodríguez, Enrique
Cerrada Somolinos, Carlos
Cerrada Somolinos, José Antonio
author_role author
author2 Valero Rodríguez, Enrique
Cerrada Somolinos, Carlos
Cerrada Somolinos, José Antonio
author2_role author
author
author
dc.contributor.none.fl_str_mv e-Spacio UNED
dc.subject.none.fl_str_mv indoor positioning
WPS
RGB-D sensors
WiFi
fingerprinting
trajectory
skeletons
depth map
IPS
Kinect
topic indoor positioning
WPS
RGB-D sensors
WiFi
fingerprinting
trajectory
skeletons
depth map
IPS
Kinect
description This work presents an Indoor Positioning System to estimate the location of people navigating in complex indoor environments. The developed technique combines WiFi Positioning Systems and depth maps, delivering promising results in complex inhabited environments, consisting of various connected rooms, where people are freely moving. This is a non-intrusive system in which personal information about subjects is not needed and, although RGB-D cameras are installed in the sensing area, users are only required to carry their smart-phones. In this article, the methods developed to combine the above-mentioned technologies and the experiments performed to test the system are detailed. The obtained results show a significant improvement in terms of accuracy and performance with respect to previous WiFi-based solutions as well as an extension in the range of operation.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-10-20
2017
2017-10-20
2024
2024-05-20
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14468/12375
url https://hdl.handle.net/20.500.14468/12375
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/deed.es
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/deed.es
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:e-spacio. Repositorio Institucional de la UNED
instname:Universidad Nacional de Educación a Distancia
instname_str Universidad Nacional de Educación a Distancia
reponame_str e-spacio. Repositorio Institucional de la UNED
collection e-spacio. Repositorio Institucional de la UNED
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869407178555654144
score 15,81155

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