A Gaussian process with local kernel estimation and variance-guided active sampling reconstructs RF radiance fields with 30-60% fewer samples than the neural NeRF2 baseline and adds uncertainty estimates.
Winert: To- wards neural ray tracing for wireless channel modelling and differentiable simulations
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Active Sampling and Gaussian Reconstruction for Radio Frequency Radiance Field
A Gaussian process with local kernel estimation and variance-guided active sampling reconstructs RF radiance fields with 30-60% fewer samples than the neural NeRF2 baseline and adds uncertainty estimates.