Transfer learning-based UWB indoor localization using MHT-MDC and clusterization-based sparse fingerprinting

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Barbara Morawska, Piotr Lipinski, Krzysztof Lichy, Krzysztof Adamkiewicz

Published: 2022, Last Modified: 09 Nov 2025J. Comput. Sci. 2022EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Our algorithm can simultaneously reduce systematic measurement errors, outliers, and random errors.•We demonstrate how to reduce the fingerprinting workload using transfer learning.•Multi Hypothesis Tracker with Motion Direction Constraint is an efficient tool for reducing localization errors.•Our algorithm for localization improvement can be applied to a variety of localization tasks.