Replication data for: PosGNN: a graph neural network-based multimodal data fusion for indoor positioning in industrial non-line-of-sight scenarios
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 ARENA2036, Germany. The dataset comprises two folders, namely, Trainin...
| Autores: | , , , , |
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| Formato: | conjunto de datos |
| Fecha de publicación: | 2026 |
| País: | España |
| Recursos: | Consorci de Serveis Universitaris de Catalunya (CSUC) |
| Repositorio: | CORA.Repositori de Dades de Recerca |
| OAI Identifier: | oai:dnet:cora.rdr____::250be9d2eb865eec624c3cee9081c196 |
| Acesso em linha: | https://doi.org/10.34810/DATA2963 |
| Access Level: | acceso abierto |
| Palavra-chave: | Computer and Information Science Automated guided vehicle Graph neural network Positioning |
| Resumo: | 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 ARENA2036, Germany. The dataset comprises two folders, namely, Training_dataset and Testing_dataset, for evaluating the Graph Neural Network-based sensor fusion framework. |
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