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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,...

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Principais autores: Imran Ashraf, Mingyu Kang, Soojung Hur, Yongwan Park
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2020-01-01
Serier:IEEE Access
Fag:
Indoor localization
convolutional neural networks
magnetic field data
pedestrian dead reckoning
deep learning
Online adgang:https://ieeexplore.ieee.org/document/9056514/
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