Recent Advances in Vehicle Navigation and Positioning

A special issue of Aerospace (ISSN 2226-4310).

Deadline for manuscript submissions: 30 September 2026 | Viewed by 929

Special Issue Editor


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Guest Editor
School of Automation, Northwestern Polytechnical University, Xi’an 710072, China
Interests: aircraft navigation, position, and navigation and control technology; intelligent sensing and robot-positioning technology; information fusion; artificial intelligence
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Special Issue Information

Dear Colleagues,

With the progress of science and technology, an increasing number of information sources can be used for vehicle navigation and positioning. Moreover, the types of navigation systems are also continually increasing. In addition to traditional inertial navigation and global navigation satellite systems, the emerging navigation strategies, such as visual navigation, geomagnetic navigation, bionic polarization navigation, etc., have also achieved rapid development. More importantly, modern vehicles offer increasingly high reliability for navigation and positioning systems. Thus, in recent years, advanced navigation and positioning technologies have received increasing attention for practical application.

This Special Issue therefore aims to put together original research and review articles on recent advances, solutions, applications, and new challenges regarding vehicle navigation and positioning.

Potential topics include, but are not limited to, the following:

  • Vehicle navigation and positioning;
  • Vehicle route planning;
  • Multi-sensor-based navigation and control;
  • Multi-sensor technology for wireless network localization;
  • Integrated navigation;
  • Attitude estimation;
  • Information fusion;
  • Artificial intelligence-based navigation and positioning;
  • Nonlinear filtering;
  • Neural network;
  • Recent developments in vehicle navigation and positioning;
  • Various navigation strategies;
  • Fault diagnosis for navigation applications;
  • Performance evaluation and comparison of various navigation strategies;
  • Navigation systems reviews.

We look forward to your submissions.

Dr. Bingbing Gao
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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. Aerospace is an international peer-reviewed open access monthly 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 2400 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

  • positioning and navigation
  • SLAM
  • route planning
  • artificial intelligence
  • integrated navigation
  • information fusion

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Published Papers (1 paper)

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Research

22 pages, 2523 KB  
Article
An Infrared Star Identification Algorithm Based on Ordered Angular Distance Verification
by Xiaoyao Yan, Maosen Xiao and Fan Bu
Aerospace 2026, 13(3), 256; https://doi.org/10.3390/aerospace13030256 - 10 Mar 2026
Viewed by 340
Abstract
Short-wave infrared star sensors have become a key technology for all-time attitude determination within the atmosphere, in which the star identification algorithm plays a fundamental role. However, due to the limited number of detectable stars in infrared images, achieving robust and accurate identification [...] Read more.
Short-wave infrared star sensors have become a key technology for all-time attitude determination within the atmosphere, in which the star identification algorithm plays a fundamental role. However, due to the limited number of detectable stars in infrared images, achieving robust and accurate identification remains challenging. To address this issue, this paper proposes a star identification algorithm based on ordered angular distance verification. The algorithm first extracts radial and adjacency features via full-field-of-view sorting to mitigate the impact of “edge loss”. It then employs a fast initial matching that combines hash table lookup with binary search, substantially reducing the number of candidate navigation stars requiring detailed matching. Subsequently, a local search matching procedure corrects index misalignment caused by false or missing stars, while angular distance invariance verification prevents false matches; the combination of these mechanisms significantly enhances the algorithm’s robustness. In simulations using 5000 star images, the proposed algorithm achieves an identification rate of 99.48%. It maintains a rate above 96% under position noise, magnitude noise, and false stars. The average processing time per star image is 10.57 ms, approximately 39% of that required by the conventional grid algorithm (27.01 ms). The simulation results demonstrate that the proposed algorithm achieves high identification accuracy and maintains strong robustness in complex noise environments. Full article
(This article belongs to the Special Issue Recent Advances in Vehicle Navigation and Positioning)
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