sensors-logo

Journal Browser

Journal Browser

Multi-Sensor Resilient Fusion Perception, Positioning and Navigation Systems

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Navigation and Positioning".

Deadline for manuscript submissions: 25 December 2025 | Viewed by 321

Special Issue Editors


E-Mail Website
Guest Editor
School of Automation Science and Electrical Engineering, Beihang University, Beiijng 100191, China
Interests: geophysical navigation; vision navigation; multi-sensor resilient fusion navigation
School of Land Science and Technology, China University of Geosciences Beijing, Beijing 100083, China
Interests: GNSS positioning; multi-source fusion navigation; nonlinear filtering; adaptive robust estimation theory
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Multi-sensor resilient fusion sensing, positioning, and navigation technology is the core and key technology to realizing the autonomy and intelligence of unmanned systems, and it has broad application prospects in the fields of intelligent robots, unmanned aerial vehicles, automatic driving, intelligent transportation, and deep space and deep earth exploration. The technology integrates advanced technologies and theories such as sensors, information fusion, artificial intelligence, and optimal estimation, as well as employing a resilient fusion of sensor information from different physical principles such as Inertial Measurement Unit(IMU, GNSS, magnetometer, wheel speed meter, camera, and Lidar to obtain more accurate, continuous, and reliable environmental perception, positioning, and navigation information. It provides theoretical and technical support for the long-term autonomous operation and control of intelligent systems. The purpose of this Special Issue is to compile the latest advancements in sensor fusion research, thereby fostering technological innovation and its practical applications across multiple industries.

Special Issue topics include, but are not limited to, the following:

  • Resilient Positioning, Navigation and Timing (PNT);
  • Intelligent navigation;
  • Environmental perception and mapping;
  • Multi-Sensor information Resilient fusion;
  • Multi-Sensor fusion system autonomous integrity.

Prof. Dr. Long Zhao
Dr. Cheng Yang
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

  • resilient PNT
  • multi-sensor information resilient fusion
  • simultaneous localization and mapping (SLAM)
  • system autonomous integrity

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

27 pages, 31775 KiB  
Article
FPGA-Based Particle Swarm Collaborative Target Localization Algorithm for UAV Swarms
by Chuanhao Zhang, Changsheng Li, Zhipeng Chen, Haojie Li and Hang Yu
Sensors 2025, 25(8), 2462; https://doi.org/10.3390/s25082462 - 14 Apr 2025
Viewed by 234
Abstract
To achieve precise collaborative localization of multiple unmanned aerial vehicles (UAVs) in hardware environments, this paper presents an field-programmable gate array-based particle swarm optimization (PSO) algorithm aimed at enhancing the localization efficiency of multiple nodes targeting a specific object. By leveraging the unique [...] Read more.
To achieve precise collaborative localization of multiple unmanned aerial vehicles (UAVs) in hardware environments, this paper presents an field-programmable gate array-based particle swarm optimization (PSO) algorithm aimed at enhancing the localization efficiency of multiple nodes targeting a specific object. By leveraging the unique computational capabilities of FPGA, the proposed algorithm integrates optimization strategies, including particle mutation, variable crossover probabilities, and adjustable weights. These strategies collectively enhance the performance of the PSO algorithm in localization tasks. Comparative simulations conducted across a range of operational scenarios demonstrate that the algorithm not only ensures high localization accuracy but also delivers excellent real-time performance and rapid convergence. To further validate the algorithm’s practical applicability, a four-node collaborative localization platform was developed, and experiments were carried out. The results confirmed the feasibility of multi-node collaborative localization, underscoring the advantages of the proposed algorithm, such as high accuracy, fast convergence, and robust stability. Full article
Show Figures

Figure 1

Back to TopTop