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Modality-Agnostic Topology Aware Localization
This work presents a data-driven approach for the indoor localization of an observer on a 2D topological map of the environment.
WiCluster: Passive Indoor 2D/3D Positioning using WiFi without Precise Labels
Our second contribution is two weakly supervised losses that map this latent space into a Cartesian map, resulting in meter-accuracy position results.
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