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Found 3 papers, 1 papers with code
Multimodal Indoor Localization Using Crowdsourced Radio Maps
Indoor Positioning Systems (IPS) traditionally rely on odometry and building infrastructures like WiFi, often supplemented by building floor plans for increased accuracy.
Beyond KNN: Deep Neighborhood Learning for WiFi-based Indoor Positioning Systems
Such algorithms estimate the location of a given point based on the locality information from the selected nearest WiFi neighbors according to some distance metrics calculated from the combination of WiFi received signal strength (RSS).
WiFi Based Distance Estimation Using Supervised Machine Learning
However, measuring the spatial distance between given set of WiFi fingerprints is heavily affected by the selection of the signal distance function used to model signal space as geospatial distance.
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