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Special Issue "Multisensors Indoor Localization"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: 30 November 2021.

Special Issue Editors

Prof. Dr. Marcin Grzegorzek
E-Mail Website
Guest Editor
Institute of Medical Informatics, University of Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany
Interests: pattern recognition; medical informatics
Special Issues and Collections in MDPI journals
Prof. Dr. Frank Deinzer
E-Mail Website
Guest Editor
University of Applied Sciences,Fachhochschule Würzburg-Schweinfurtdisabled, Wurzburg, Germany
Interests: Machine Learning; Pattern Recognition; Computer Graphics; Sensor Fusion; Indoor Localization

Special Issue Information

We have all become very accustomed to location-based services making our lives easier. Navigation systems in cars and destination guidance systems for pedestrians in city centers have become part of everyday life. However, people’s daily life also consists of activities that take place indoor: at home, at work, at leisure places like shopping malls and museums and at unknown places during holidays or business trips. In these indoor scenarios, technologies that work well outdoors fail only because the signals of the global navigation satellite systems are too weak to be received inside buildings. This makes it difficult to offer context-aware systems where location is a key feature for software functionality related to social networking, advertising, recommendation systems, or healthcare.

Indoor localization systems offer solutions for the technical aspect of this location estimation problem. The systems differ in many ways: which information sources in terms of sensors, knowledge, hardware, and infrastructure are available? What do the models and algorithms look like? Are different information sources combined? All these aspects influence the current research in this area. One important finding of research in recent years is that information from multiple sensors is needed and must be fused in one way or another.

This Special Issue is dedicated to the goal of offering outstanding papers in the described field of multisensors indoor localization.

Prof. Dr. Marcin Grzegorzek
Prof. Dr. Frank Deinzer
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Indoor Localization
  • Sensors
  • Multi-Sensor Fusion
  • Pedestrian Navigation System
  • Pedestrian Dead Reckoning
  • Models

Published Papers

This special issue is now open for submission.
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