Simulations indicate that a three-sensor quantum magnetometer array on a drone, combined with Bayesian active sampling and Gaussian process regression, can recover magnetic signatures of steel-reinforced rubble from ~1 m altitude in the sub-pT to sub-nT range after roughly 100 samples.
Magnetic field-based slam methodforsolvingthelocalizationprobleminmobile robot floor-cleaning task
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From Rubble Simulation to Active Magnetic Mapping: Quantum Sensing for Disaster Response
Simulations indicate that a three-sensor quantum magnetometer array on a drone, combined with Bayesian active sampling and Gaussian process regression, can recover magnetic signatures of steel-reinforced rubble from ~1 m altitude in the sub-pT to sub-nT range after roughly 100 samples.