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

DOI

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.

Identifier
DOI https://doi.org/10.34810/DATA2961
Related Identifier IsSupplementTo https://doi.org/10.1109/OJVT.2025.3566888
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/DATA2961
Provenance
Creator Muthineni, Karthik ORCID logo; Artemenko, Alexander ORCID logo; Vidal, Josep ORCID logo; Najar, Montse ORCID logo; Catalan, Marisa ORCID logo; paradells, josep ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Muthineni, Karthik; Universitat Politècnica de Catalunya; 160(RI)
Publication Year 2026
Funding Reference European Commission H2020-956670-5GSmartFact
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Muthineni, Karthik (Universitat Politècnica de Catalunya)
Representation
Resource Type Measurement and test data; Dataset
Format text/tab-separated-values; text/plain
Size 40623; 92574; 79516; 6902; 2273500; 1456338; 86627; 74276; 36483
Version 2.0
Discipline Other