UWB and GNSS Sensor Fusion Using ML-Based Positioning Uncertainty Estimation

This article presents a novel machine learning (ML) augmented sensor fusion scheme for seamless indoor-outdoor positioning using ultra-wideband (UWB) and global navigation satellite system (GNSS) sensors. Dilution of precision (DOP) is a common metric that describes the level of geometrical uncertai...

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Bibliografski detalji

Glavni autori:	Mihkel Tommingas, Taavi Laadung, Sander Varbla, Ivo Muursepp, Muhammad Mahtab Alam
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2025-01-01
Serija:	IEEE Open Journal of the Communications Society
Teme:	Coordinate uncertainty estimation and filtering indoor and outdoor navigation machine learning seamless UWB and GNSS positioning sensor fusion
Online pristup:	https://ieeexplore.ieee.org/document/10938202/
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