Monocular-Vision-Based Relative Pose Estimation of Noncooperative Spacecraft Using Multicircular Features

被引:12
|
作者
Long, Chenrong [1 ]
Hu, Qinglei [1 ,2 ]
机构
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
[2] Beihang Hangzhou Innovat Inst Yuhang, Hangzhou 310023, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
Monocular vision; multicircular features; noncooperative target spacecraft; nonlinear optimization method; pose estimation; SINGLE; CYLINDER; CIRCLE;
D O I
10.1109/TMECH.2022.3181681
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Accurate relative pose (position and orientation) estimation for noncooperative target spacecraft is the basic module for on-orbit services, such as capture and repair. This article technically proposes a nonlinear optimization method based on monocular vision to estimate the relative pose for the solid-of-revolution-shaped noncooperative spacecraft. Specifically, considering the multicircular features on the target, the parameters of the ellipses derived from the circles perspective projection are first obtained by the propounded ellipse detection algorithm. Moreover, the constraint that the center of each circle falls on the center axis (normal direction) of the spacecraft is utilized to optimally solve the center position and the normal of the multicircles. In particular, the roll angle around the center axis is recovered through the geometric constraints of the solar panels, and the six-degree-of-freedom spacecraft pose estimation is then accomplished. Consequently, it is analyzed that the proposed optimization algorithm is able to provide a closed-form solution to ensure the accuracy of the relative pose and only requires limited computational resources. Finally, experimental results on the synthetic images and the physical scenes are conducted to evaluate the efficiency of the proposed approach.
引用
收藏
页码:5403 / 5414
页数:12
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