Special Issue "Wireless Localization: Tracking and Navigation Data Set"
A special issue of Data (ISSN 2306-5729).
Deadline for manuscript submissions: 28 February 2019
In the past few decades, wireless localization tracking and navigation techniques have made considerable progress. Their growing importance can be observed in many areas of everyday life, including, for example, precise and reliable navigation in traffic leading to the integration of autonomous vehicles in a future intelligent transportation system, localization and tracking of people and goods for surveillance purposes, control of farming machines in agriculture to maximize harvest, or control of self-driving vehicles in manufacturing plants and warehouses to automate the flow of materials. The future localization and navigation systems will have to be able to operate reliably in most diverse conditions, including indoor tracking scenarios without support from global satellite navigation. Such systems will require the fusion of data sets gathered by multiple positioning systems (based on WiFi, UWB, LTE or other networks) and motion sensors in combination with techniques, such as computer vision or artificial intelligence in order to facilitate seamless and robust navigation.
This Special Issue is aimed at sharing new ideas and R&D results with researchers, academics, and experts working in the area of localization techniques, algorithms and strategies, including network-based positioning systems and inertial sensor data fusion, as well as prospective signal processing techniques leading to increase the reliability, accuracy, and robustness of both outdoor and indoor object localization, navigation and tracking. The topics expected include, but are not limited to the following areas:
- Advanced algorithms and signal processing techniques
- Performance analysis and optimization
- Hybrid system data fusion, cooperative techniques
- Innovative design of devices, signals, and systems
- Location-based services and applications
Prof. Aleš Prokeš
Dr. Joaquín Torres-Sospedra
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. Data is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. 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.