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...
| Autores: | , , , , , |
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| 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 |
| Sumario: | 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. |
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