Replication data for: PosGNN: a graph neural network-based multimodal data fusion for indoor positioning in industrial non-line-of-sight scenarios

CORA.Repositori de Dades de Recerca 2026 Dataset Open access

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Authors: Karthik Muthineni, Alexander Artemenko, Daniel Abode, Josep Vidal, Montse Nájar
DOI: 10.34810/data2963
Cited by: 0

Abstract

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.

Fields of Study & Subjects

Indoor and Outdoor Localization Technologies Inertial Sensor and Navigation Target Tracking and Data Fusion in Sensor Networks

Publication details

Journal / source
CORA.Repositori de Dades de Recerca
Publication date
28 January 2026
Document type
Dataset