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

Dataset

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 ; Artemenko, Alexander ; Vidal, Josep ; Najar, Montse ; Catalan, Marisa ; paradells, josep
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