Replication data for: Deep Learning Based UWB-IMU Data Fusion for Indoor Positioning in Industrial Scenario

This dataset was created within the framework of the 5GSmartFact project (https://www.5gsmartfact.upc.edu/). It contains Ultra-Wideband (UWB) and Inertial Measurement Unit (IMU) datasets collected during a measurement campaign at Bosch, Germany. The dataset comprises two folders, namely, Training_da...

Descripción completa

Detalles Bibliográficos
Autores: Muthineni, Karthik, Artemenko, Alexander, Vidal, Josep, Najar, Montse, Catalan, Marisa, paradells, josep
Tipo de recurso: conjunto de datos
Fecha de publicación:2026
País:España
Institución:Consorci de Serveis Universitaris de Catalunya (CSUC)
Repositorio:CORA.Repositori de Dades de Recerca
OAI Identifier:oai:dnet:cora.rdr____::6c2daa0fb46be62a50456621a336bc49
Acceso en línea:https://doi.org/10.34810/DATA2961
Access Level:acceso abierto
Palabra clave:Computer and Information Science
Wireless infrastructure-based positioning
id ES_4cf3ecde978efba9f01444d1a0da6423
oai_identifier_str oai:dnet:cora.rdr____::6c2daa0fb46be62a50456621a336bc49
network_acronym_str ES
network_name_str España
repository_id_str
spelling Replication data for: Deep Learning Based UWB-IMU Data Fusion for Indoor Positioning in Industrial ScenarioMuthineni, KarthikArtemenko, AlexanderVidal, JosepNajar, MontseCatalan, Marisaparadells, josepComputer and Information ScienceWireless infrastructure-based positioningThis dataset was created within the framework of the 5GSmartFact project (https://www.5gsmartfact.upc.edu/). It contains Ultra-Wideband (UWB) and Inertial Measurement Unit (IMU) datasets collected during a measurement campaign at Bosch, Germany. The dataset comprises two folders, namely, Training_dataset and Testing_dataset, for evaluating the Deep Neural Network-based sensor fusion framework.CORA.Repositori de Dades de RecercaNajar Marton, Montserrat160(RI)2026info:eu-repo/semantics/datasethttps://doi.org/10.34810/DATA2961reponame:CORA.Repositori de Dades de Recercainstname:Consorci de Serveis Universitaris de Catalunya (CSUC)Inglésinfo:eu-repo/semantics/openAccessCC0 1.0oai:dnet:cora.rdr____::6c2daa0fb46be62a50456621a336bc492026-06-17T12:20:17Z
dc.title.none.fl_str_mv Replication data for: Deep Learning Based UWB-IMU Data Fusion for Indoor Positioning in Industrial Scenario
title Replication data for: Deep Learning Based UWB-IMU Data Fusion for Indoor Positioning in Industrial Scenario
spellingShingle Replication data for: Deep Learning Based UWB-IMU Data Fusion for Indoor Positioning in Industrial Scenario
Muthineni, Karthik
Computer and Information Science
Wireless infrastructure-based positioning
title_short Replication data for: Deep Learning Based UWB-IMU Data Fusion for Indoor Positioning in Industrial Scenario
title_full Replication data for: Deep Learning Based UWB-IMU Data Fusion for Indoor Positioning in Industrial Scenario
title_fullStr Replication data for: Deep Learning Based UWB-IMU Data Fusion for Indoor Positioning in Industrial Scenario
title_full_unstemmed Replication data for: Deep Learning Based UWB-IMU Data Fusion for Indoor Positioning in Industrial Scenario
title_sort Replication data for: Deep Learning Based UWB-IMU Data Fusion for Indoor Positioning in Industrial Scenario
dc.creator.none.fl_str_mv Muthineni, Karthik
Artemenko, Alexander
Vidal, Josep
Najar, Montse
Catalan, Marisa
paradells, josep
author Muthineni, Karthik
author_facet Muthineni, Karthik
Artemenko, Alexander
Vidal, Josep
Najar, Montse
Catalan, Marisa
paradells, josep
author_role author
author2 Artemenko, Alexander
Vidal, Josep
Najar, Montse
Catalan, Marisa
paradells, josep
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Najar Marton, Montserrat
160(RI)
dc.subject.none.fl_str_mv Computer and Information Science
Wireless infrastructure-based positioning
topic Computer and Information Science
Wireless infrastructure-based positioning
description This dataset was created within the framework of the 5GSmartFact project (https://www.5gsmartfact.upc.edu/). It contains Ultra-Wideband (UWB) and Inertial Measurement Unit (IMU) datasets collected during a measurement campaign at Bosch, Germany. The dataset comprises two folders, namely, Training_dataset and Testing_dataset, for evaluating the Deep Neural Network-based sensor fusion framework.
publishDate 2026
dc.date.none.fl_str_mv 2026
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
format dataset
dc.identifier.none.fl_str_mv https://doi.org/10.34810/DATA2961
url https://doi.org/10.34810/DATA2961
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
CC0 1.0
eu_rights_str_mv openAccess
rights_invalid_str_mv CC0 1.0
dc.publisher.none.fl_str_mv CORA.Repositori de Dades de Recerca
publisher.none.fl_str_mv CORA.Repositori de Dades de Recerca
dc.source.none.fl_str_mv reponame:CORA.Repositori de Dades de Recerca
instname:Consorci de Serveis Universitaris de Catalunya (CSUC)
instname_str Consorci de Serveis Universitaris de Catalunya (CSUC)
reponame_str CORA.Repositori de Dades de Recerca
collection CORA.Repositori de Dades de Recerca
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869407660476989440
score 15,198674

Similares en LA Referencia