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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Detalles Bibliográficos
Autores principales: Kuevor, Prince E., Ghaffari, Maani, Atkins, Ella M., Cutler, James W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10143074/
https://www.ncbi.nlm.nih.gov/pubmed/37112237
http://dx.doi.org/10.3390/s23083897

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10143074/
https://www.ncbi.nlm.nih.gov/pubmed/37112237
http://dx.doi.org/10.3390/s23083897

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