Fast and Noise-Resilient Magnetic Field Mapping on a Low-Cost UAV Using Gaussian Process Regression

Fast and Noise-Resilient Magnetic Field Mapping on a Low-Cost UAV Using Gaussian Process Regression

This study presents a comprehensive approach to mapping local magnetic field anomalies with robustness to magnetic noise from an unmanned aerial vehicle (UAV). The UAV collects magnetic field measurements, which are used to generate a local magnetic field map through Gaussian process regression (GPR...

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Bibliographic Details
Main Authors: Prince E. Kuevor, Maani Ghaffari, Ella M. Atkins, James W. Cutler
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Sensors
Subjects:
Gaussian process regression
magnetic field mapping
unmanned aerial vehicle (UAV)
fingerprinting
indoor environments
electromagnetic noise reduction
Online Access:https://www.mdpi.com/1424-8220/23/8/3897

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