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A New Feature Points Reconstruction Method in Spacecraft Vision Navigation
Joint Authors
Hua, Bing
Shao, Zhujun
Wu, Yunhua
Liu, Yanbin
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-30
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
The important applications of monocular vision navigation in aerospace are spacecraft ground calibration tests and spacecraft relative navigation.
Regardless of the attitude calibration for ground turntable or the relative navigation between two spacecraft, it usually requires four noncollinear feature points to achieve attitude estimation.
In this paper, a vision navigation system based on the least feature points is designed to deal with fault or unidentifiable feature points.
An iterative algorithm based on the feature point reconstruction is proposed for the system.
Simulation results show that the attitude calculation of the designed vision navigation system could converge quickly, which improves the robustness of the vision navigation of spacecraft.
American Psychological Association (APA)
Hua, Bing& Wu, Yunhua& Shao, Zhujun& Liu, Yanbin. 2015. A New Feature Points Reconstruction Method in Spacecraft Vision Navigation. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1074130
Modern Language Association (MLA)
Hua, Bing…[et al.]. A New Feature Points Reconstruction Method in Spacecraft Vision Navigation. Mathematical Problems in Engineering No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1074130
American Medical Association (AMA)
Hua, Bing& Wu, Yunhua& Shao, Zhujun& Liu, Yanbin. A New Feature Points Reconstruction Method in Spacecraft Vision Navigation. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1074130
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074130