A New Feature Points Reconstruction Method in Spacecraft Vision Navigation. (30th March 2015)

• Record Type: Journal Article
• Authors: Hua, Bing; Wu, Yunhua; Shao, Zhujun; Liu, Yanbin
• Other Names: Chen Xinkai Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2015(2015)
• Publication Date: 2015-03-30
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2015/549820
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : 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.