Physics-Informed Calibration of Aeromagnetic Compensation in Magnetic Navigation Systems using Liquid Time-Constant Networks

1 code implementation • 17 Jan 2024 • Favour Nerrise, Andrew Sosa Sosanya, Patrick Neary

This significant improvement underscores the potential of a physics-informed, machine learning approach for extracting clean, reliable, and accurate magnetic signals for MagNav positional estimation.

Physics-informed machine learning