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UAV and Sensor Applications for Navigation and Positioning—2nd Edition

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

Deadline for manuscript submissions: 15 January 2026 | Viewed by 14

Special Issue Editors


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Guest Editor
School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China
Interests: sensor applications for navigation and positioning; filtering and information fusion; structural safety and reliability; intelligent aircraft technology
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Institute of Solid Mechanics, Beihang University (BUAA), Beijing 100191, China
Interests: fabrication of wearable electronics and flexible electronics; thermal management of flexible electronics; mechanic design of flexible electronics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Unmanned aerial vehicles (UAVs) are widely used, from military to civilian and commercial uses, such as military reconnaissance, power inspection, security inspection, and other special tasks. However, the prerequisite for UAVs to complete tasks is achieving high-precision navigation and positioning, that is, a UAV should know where it is in real time. Global navigation satellite system (GNSS) technology is the mainstream navigation and positioning method for UAVs in open areas, while in GNSS-denied environments, such as dense forests, mountains, and indoors, it becomes a challenge to realize the high-precision navigation and positioning of UAVs.

Benefiting from the development of microelectromechanical systems (MEMS), a variety of sensors can be carried on UAVs, and the navigation and positioning technology based on the fusion of multi-sensor data has become a research hotspot. The vigorous development of cluster technology, machine learning, and simultaneous localization and mapping (SLAM) brings more possibilities for UAV navigation and positioning methods. Researchers are making innovative achievements in these areas, such as SLAM, cooperative navigation and positioning for multi-UAVs, the applications of machine learning, and so on.

This Special Issue aims to solicit innovative papers related to “UAV and Sensor Applications for Navigation and Positioning”, including but not limited to the following areas:

  • Navigation and positioning method in GNSS-denied environments.
  • Multi-sensor data fusion method for UAV navigation and positioning.
  • Cooperative navigation and positioning method for multi-UAV.
  • SLAM.
  • Vision-based navigation and positioning method.
  • Applications of machine learning in UAV navigation and positioning.

Dr. Yongbo Zhang
Prof. Dr. Yuhang Li
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 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.

Keywords

  • unmanned aerial vehicles
  • sensor applications
  • navigation and positioning
  • SLAM
  • machine learning
  • data fusion

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