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Computer Vision for Positioning, Tracking and Wayfinding: State of the Art Solutions

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

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 466

Special Issue Editors

Information Systems Department, University of Minho, Campus Azurém, 4800-058 Guimarães, Portugal
Interests: indoor localization; ubiquitous computing; mobile computing; pervasive; location
Special Issues, Collections and Topics in MDPI journals
ALGORITMI Research Centre, Universidade do Minho, 4800-058 Guimarães, Portugal
Interests: neural networks; pattern recognition; machine learning; image processing; outdoor robotics; artificial intelligence; indoor localization and positioning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Although global navigation satellite systems (GNSSs) are widely spread for positioning purposes, they cannot operate properly in indoor areas such as hospitals, shopping areas, factories or warehouses. Although most indoor positioning solutions depend on radio frequency transmission, there is rising interest in positioning using computer vision as systems based on this technology may be an interesting, cost-effective alternative to well-known systems based on LiDAR or ultra-wideband (UWB) technologies.

This Special Issue encourages authors from both academia and industry to submit new research results about technological innovations and novel applications for positioning, tracking and wayfinding using computer vision. Topics of interest for this Special Issue include but are not limited to the following:

  • Positioning by means of computer vision;
  • Way-finding by means of computer vision;
  • Tracking by means of computer vision;
  • Sensor fusion, including computer vision;
  • Novel technologies;
  • New applications;
  • State-of-the-art devices;
  • Infrastructure-less approaches;
  • Indoor/outdoor transition systems;
  • Challenges in design and deployment;
  • Applied machine learning;
  • Evaluation.

We also encourage authors to co-submit a data paper to the joint Issue we are editing in Data entitled “Computer Vision Datasets for Positioning, Tracking and Wayfinding” ( as a complementary publication, so that data can easily be cited, traced and re-used for further research.

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

Manuscript Submission Information

Manuscripts should be submitted online at 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 submissions that pass pre-check are 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 2600 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.

Published Papers

There is no accepted submissions to this special issue at this moment.
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