Autonomous rendezvous and docking sensor suite

2003 ◽  
Author(s):  
Elizabeth Tanner ◽  
Stephen Granade ◽  
Charles A. Whitehead
Keyword(s):  
Autonomous Rendezvous ◽  
Rendezvous And Docking ◽  
Sensor Suite

Relative Pose Estimation under Monocular Vision in Rendezvous and Docking

2013 ◽  
Vol 433-435 ◽  
pp. 799-805 ◽  
Author(s):  
Hui Pan ◽  
Jian Yu Huang ◽  
Shi Yin Qin
Keyword(s):  
Estimation Algorithm ◽  
Monocular Vision ◽  
Estimation Accuracy ◽  
Estimation Efficiency ◽  
Autonomous Rendezvous ◽  
Space Programs ◽  
Efficiency Estimation ◽  
Relative Pose ◽  
Rendezvous And Docking ◽  
Model Approach

Autonomous rendezvous and docking (ARD) plays a very important role in planned space programs such as on-orbit construction and assembly, refueling of satellites, repairing or rescuing failed satellites, active removal of space debris, autonomous re-supply and crew exchange of space stations, and so on. However,the success of ARD rests with the estimation accuracy and efficiency of relative pose among various spacecraft in rendezvous and docking. In this paper, a high accuracy and efficiency estimation algorithm of relative pose of cooperative space targets is presented based on monocular vision imaging, in which a modified gravity model approach and multiple targets tracking methods are employed to improve the accuracy of feature extraction and enhance the estimation efficiency, moreover the Levenberg-Marquardt method (LMM) is used to achieve a well global convergence. The comprehensive experiment results demonstrate its outstanding predominance in estimation accuracy and efficiency.

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