MINLOC:Magnetic Field Patterns-Based Indoor Localization Using Convolutional Neural Networks

Conventional geomagnetic field-based indoor positioning and localization techniques determine the user’s position by comparing the database with the geomagnetic field strength collected by the user. However, the magnetic field strength collected from various devices varies significantly. So,...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Imran Ashraf, Mingyu Kang, Soojung Hur, Yongwan Park
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2020-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Indoor localization convolutional neural networks magnetic field data pedestrian dead reckoning deep learning
Online-Zugang:	https://ieeexplore.ieee.org/document/9056514/
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