Exploring Multimodal Indoor Localization with Crowdsourced Radio Maps

The author explores the potential of using crowdsourced radio maps as a substitute for traditional floor plans in Indoor Positioning Systems (IPS). By combining an uncertainty-aware neural network model with Bayesian filtering, significant performance enhancements of approximately 25% over current IPS methods were observed.