LOCUS-DT: Localization via Observation-Conditioned Uncertainty Scoring with Digital Twins

The episode discusses LOCUS-DT, a localization method that uses digital twins to provide a full probability distribution over transmitter locations instead of just a single point estimate. The system compares simulated multipath profiles from candidate locations against real measurements using a learned neural network scorer, achieving better results than classical methods.

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