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Dear Colleagues,

In recent years, indoor positioning, localization, and navigation technologies have expanded significantly.

Disruptive innovations derive from new hardware, applications, or innovative algorithms that are especially tailored for such technologies. Sustaining innovations are often linked to software or hardware elements to improve accuracy, processing efficiency, or the building of better applications. Therefore, we are searching for works that contribute toward obtaining universal, standardized, ubiquitous indoor positioning and localization services.

The main topics of this Special Issue include, but are not limited to, the following:

Disruptive applications;
The standardization of localization services;
New sensors in hardware or software;
Novel sensor data fusion techniques and algorithms.

Dr. Filipe Meneses
Dr. Joaquín Torres-Sospedra
Guest Editors

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Keywords

disruptive applications
the standardization of localization services
new sensors in hardware or software
novel sensor data fusion techniques and algorithms

Published Papers (1 paper)

Research

17 pages, 6782 KiB

Open AccessArticle

Indoor Navigation in Facilities with Repetitive Structures

by Zeev Volkovich, Elena V. Ravve and Renata Avros

Sensors 2024, 24(9), 2876; https://doi.org/10.3390/s24092876 - 30 Apr 2024

Viewed by 191

Abstract

Most facilities are structured in a repetitive manner. In this paper, we propose an algorithm and its partial implementation for a cellular guide in such facilities without GPS use. The complete system is based on iBeacons-like components, which operate on BLE technology, and their integration into a navigation application. We assume that the user’s location is determined with sufficient accuracy. Our main goal revolves around leveraging the repetitive structure of the given facility to optimize navigation in terms of storage requirements, energy efficiency in the cellular device, algorithmic complexity, and other aspects. To the best of our knowledge, there is no prior experience in addressing this specific aim. In order to provide high performance in real time, we rely on optimal saving and the use of pre-calculated and stored navigation sub-routes. Our implementation seamlessly integrates iBeacon communications, a pre-defined indoor map, diverse data structures for efficient information storage, and a user interface, all working cohesively under a single supervision. Each module can be considered, developed, and improved independently. The approach is mainly directed to places, such as passenger ships, hotels, colleges, and so on. Because of the fact that there are “replicated” parts on different floors, stored once and used for multiple routes, we reduce the amount of information that must be stored, thus helping to reduce memory usage and as a result, yielding a better running time and energy consumption. Full article

(This article belongs to the Special Issue Innovative Indoor Positioning, Localization and Navigation Technologies)

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Innovative Indoor Positioning, Localization and Navigation Technologies

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