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Aerospace
Special Issues
Space Navigation and Control Technologies
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Space Navigation and Control Technologies

A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Astronautics & Space Science".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 420

Special Issue Editors

Dr. Xin Ma

E-Mail Website
Guest Editor
School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
Interests: space navigation technologies; celestial navigation; pulsar navigation
Dr. Wei Zhang

E-Mail Website
Guest Editor
Shanghai Academy of Spaceflight Technology, NO. 3888 Yuanjiang Road, Minhang District, Shanghai, China
Interests: spacecraft navigation and control; deep-space exploration
Dr. Dongyu Li

E-Mail Website
Guest Editor
School of Cyber Science and Technolgoy, Beihang University, Beijing 100191, China
Interests: spacecraft control; cooperative control; spacecraft formation

Special Issue Information

Dear Colleagues,

Space exploration is an important direction for human spaceflight activities in the new era, and it represents an inevitable means for human beings to explore the unknown universe. Navigation technology realizes the localization of moving objects by measuring position parameters. Control technology is at the core of a spacecraft's ability to independently perform complex tasks in a space environment. Space navigation and control technology play a crucial role, which is conducive to promoting the sustainable development of space technology and enhancing the ability of human beings to enter space. With the development of deep space navigation technology, requirements for precise, real-time, and visible navigation and control are becoming more intense.

This Special Issue of Aerospace will introduce the latest developments in the field of deep space navigation and control technology and will provide a platform for researchers and practitioners to discuss cutting-edge technologies and key challenges in the field of space navigation and control technologies. We invite submissions from academia and industry professionals on theoretical and practical issues related to space navigation and control technologies. We also welcome articles on other topics related to aerospace systems.

Dr. Xin Ma
Dr. Wei Zhang
Dr. Dongyu 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. 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

  • autonomous navigation
  • integrated navigation
  • celestial navigation
  • pulsar navigation
  • optical navigation
  • maneuver control
  • networked spacecraft cooperation
  • adaptive systems
  • robotic control

Published Papers (1 paper)

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Research

15 pages, 38824 KiB  
Article
Crater Triangle Matching Algorithm Based on Fused Geometric and Regional Features
by Mingda Jin and Wei Shao
Aerospace 2024, 11(6), 417; https://doi.org/10.3390/aerospace11060417 - 21 May 2024
Viewed by 98
Abstract
Craters are regarded as significant navigation landmarks during the descent and landing process in small body exploration missions for their universality. Recognizing and matching craters is a crucial prerequisite for visual and LIDAR-based navigation tasks. Compared to traditional algorithms, deep learning-based crater detection [...] Read more.
Craters are regarded as significant navigation landmarks during the descent and landing process in small body exploration missions for their universality. Recognizing and matching craters is a crucial prerequisite for visual and LIDAR-based navigation tasks. Compared to traditional algorithms, deep learning-based crater detection algorithms can achieve a higher recognition rate. However, matching crater detection results under various image transformations still poses challenges. To address the problem, a composite feature-matching algorithm that combines geometric descriptors and region descriptors (extracting normalized region pixel gradient features as feature vectors) is proposed. First, the geometric configuration map is constructed based on the crater detection results. Then, geometric descriptors and region descriptors are established within each feature primitive of the map. Subsequently, taking the salience of geometric features into consideration, composite feature descriptors with scale, rotation, and illumination invariance are generated through fusion geometric and region descriptors. Finally, descriptor matching is accomplished by computing the relative distances between descriptors and adhering to the nearest neighbor principle. Experimental results show that the composite feature descriptor proposed in this paper has better matching performance than only using shape descriptors or region descriptors, and can achieve a more than 90% correct matching rate, which can provide technical support for the small body visual navigation task. Full article
(This article belongs to the Special Issue Space Navigation and Control Technologies)
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