Electrical Engineering and Systems Science > Signal Processing
[Submitted on 30 Apr 2024]
Title:Evaluation of An Indoor Localization Engine
View PDFAbstract:Pedestrian Indoor localization based on modalities available in modern smartphones have been widely studied in literature and many of the specific challenges have been addressed. However, very few approaches consider the whole problem and proposed solutions are very often evaluated under very limited scenarios. We propose a fusion engine for localization that makes use of various data provided by a smartphone (Inertial sensors, pressure sensors, Wi-Fi, BLE, GNSS, map etc.) to provide a fused localization that is robust under harsh conditions (poor RSS coverage, device position change etc.). Moreover, our solution has been evaluated for hardware integration and tested over a large database including more than 250 experiments representing different scenarios, showing feasibility of lightweight implementation and good results over various conditions.
Submission history
From: Christophe Villien [view email] [via CCSD proxy][v1] Tue, 30 Apr 2024 13:13:08 UTC (1,173 KB)
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