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

Accurate and precise wireless infrastructure-based positioning systems become crucial as industries move towards flexible, portable, and autonomous transportation systems such as Automated Guided Vehicles (AGVs). Multipath-dominant dynamic environments like industries present significant challenges...

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Detalhes bibliográficos
Main Authors: Karthik Muthineni, Alexander Artemenko, Josep Vidal, Montse Najar, Marisa Catalan, Josep Paradells
Formato: Artigo
Idioma:Inglês
Publicado em: IEEE 2025-01-01
Colecção:IEEE Open Journal of Vehicular Technology
Assuntos:
Autonomous transportation systems
data synchronization
deep neural networks
industries
inertial measurement units
ultra-wideband
Acesso em linha:https://ieeexplore.ieee.org/document/10985825/
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