Indoor Localization with Passerby Data in Parasitic Approach

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Hidehito Gomi, Kota Tsubouchi, Teruhiko Teraoka

Published: 2022, Last Modified: 13 Apr 2026SenSys 2022EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: We propose an innovative indoor localization approach to constructing user trajectories for indoor spaces where GPS signals are unavailable. The results of a simulation experiment demonstrate the effectiveness of the proposed approach and shed light on a new value for obtaining accurate positions indoors.