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 503
Special Issue Editors
Interests: indoor localization; ubiquitous computing; mobile computing; pervasive; location
Special Issues, Collections and Topics in MDPI journals
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” (https://www.mdpi.com/journal/data/special_issues/Comput_Vis) 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
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