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dc.contributor.authorSales Mendes, André 
dc.contributor.authorVillarrubia González, Gabriel 
dc.contributor.authorCaridad Hernández, Javier 
dc.contributor.authorHernández de la Iglesia, Daniel 
dc.contributor.authorDe Paz, Juan F. 
dc.date.accessioned2025-01-29T08:54:09Z
dc.date.available2025-01-29T08:54:09Z
dc.date.issued2019
dc.identifier.citationAndré Sales Mendes, Gabriel Villarrubia, Javier Caridad, Daniel H. De La Iglesia, Juan F. De Paz, Automatic wireless mapping and tracking system for indoor location, Neurocomputing, Volume 338, 2019, Pages 372-380, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2018.07.084. (https://www.sciencedirect.com/science/article/pii/S0925231219300074)es_ES
dc.identifier.issn0925-2312
dc.identifier.urihttp://hdl.handle.net/10366/163032
dc.description.abstract[EN]Automatic vehicle tracking systems ease the completion of numerous tasks in different fields. Moreover they can automatically capture information, this feature allows to perform location tasks. These systems can be implemented at airports, in shopping centers and in other large buildings; in this way, wireless network scans will serve as a basis for the creation of signal maps that can be used in indoor location systems. This work proposes an automatic people tracking system which also allows to map Wi-Fi networks in order to localize people indoor. In order to operate the system, information on vehicle movement was used to capture signal maps, with the aim of reducing the need to perform manual calibration and thus, improving the updating of information. The final location is determined by combining information provided by wireless networks, Bayesian networks are employed for this task.es_ES
dc.format.mimetypeapplication/pdf
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.subjectNeural networkses_ES
dc.subjectIndoor location systemes_ES
dc.subjectMapping and trackinges_ES
dc.titleAutomatic wireless mapping and tracking system for indoor locationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://doi.org/10.1016/j.neucom.2018.07.084es_ES
dc.subject.unesco1203 Ciencia de los ordenadoreses_ES
dc.identifier.doi10.1016/j.neucom.2018.07.084
dc.relation.projectIDPC_TCUE15-17_F2_027es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.journal.titleNeurocomputinges_ES
dc.volume.number338es_ES
dc.page.initial372es_ES
dc.page.final380es_ES
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones_ES


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