The data of all sensors are fused in combination with building layouts using different Bayes filters. The behavior of the Bayes filters is investigated ...
The data of all sensors are fused in combination with building layouts using different Bayes filters. The behavior of the Bayes filters is investigated ...
Mar 30, 2021 · This article is dedicated to review the most recent and interesting smartphones-based indoor navigation systems, ranging from electromagnetic to inertia to ...
Smartphone-Based Indoor Positioning Technologies - SpringerLink
link.springer.com › Urban Informatics
Apr 7, 2021 · In this chapter, we focus on indoor positioning technologies with smartphones, and in particular, emphasize the technologies based on radio frequency (RF) and ...
Sep 18, 2020 · The main focus of this paper is on grid-based implementations of Bayes filters as an alternative to commonly used Kalman and particle filters.
A Survey of Smartphone-Based Indoor Positioning System Using RF ...
pmc.ncbi.nlm.nih.gov › PMC7767154
Dec 17, 2020 · This paper provides an overview of the available smartphone-based indoor localization solutions that rely on radio frequency technologies.
Nov 4, 2021 · The results demonstrated that our system achieved a promising mean accuracy of 1.87 m in the testbed. Further, we represent the advantage of the ...
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A taxonomy of smartphones sensors will be introduced, which serves as the basis to categorise different positioning systems for reviewing. A set of criteria to ...
Apr 11, 2023 · This study reviewed the literature on indoor localization based on smartphones. Articles published from 2015 to 2022 were retrieved from four databases.
We have implemented and compared several positioning algorithms (Proximity Localization, Centroid Localization, Weighted Centroid Localization, Weight- ...