Parallel vision-based pose estimation for non-cooperative spacecraft

This article proposes a relative pose estimation method between non-cooperative spacecrafts based on parallel binocular vision. As the information of non-cooperative spacecraft in space is not accessible, the target is considered to be freely tumbling in space. The line feature of non-cooperative target is used to extract the feature points first; then the stereo matching and three-dimensional restructuring are taken for the feature points; finally, an algorithm based on parallel binocular vision algorithm is used to calculate the relative pose between the target coordinate and the world coordinate. The experimental results show that the proposed method has high-accuracy real-time performance.

[1]  Bart Koopman,et al.  The effect of tyre and rider properties on the stability of a bicycle , 2015 .

[2]  Shai Segal,et al.  Vision-based relative state estimation of non-cooperative spacecraft under modeling uncertainty , 2011, 2011 Aerospace Conference.

[3]  Shai Segal,et al.  Stereovision-Based Estimation of Relative Dynamics Between Noncooperative Satellites: Theory and Experiments , 2014, IEEE Transactions on Control Systems Technology.

[4]  Wei-Min Bao,et al.  Present Situation and Development Tendency of Aerospace Control Techniques: Present Situation and Development Tendency of Aerospace Control Techniques , 2014 .

[5]  Feng Yu,et al.  Stereo-Vision-Based Relative Pose Estimation for the Rendezvous and Docking of Noncooperative Satellites , 2014 .

[6]  Yangsheng Xu,et al.  Autonomous rendezvous and robotic capturing of non-cooperative target in space , 2009, Robotica.

[7]  Jinbo Liu,et al.  A monocular pose measurement method of a translation-only one-dimensional object without scene information , 2014 .

[8]  Qi Li,et al.  3D pose estimation of ground rigid target based on ladar range image. , 2013, Applied optics.

[9]  Bin Wang,et al.  Pose determination of non-cooperative spacecraft based on multi-feature information fusion , 2013, 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[10]  Baolong Guo,et al.  Relative Pose Measurement Algorithm of Non-cooperative Target based on Stereo Vision and RANSAC , 2012, SOCO 2012.

[11]  Lale Akarun,et al.  Hierarchically constrained 3D hand pose estimation using regression forests from single frame depth data , 2014, Pattern Recognit. Lett..

[12]  Yong Chen,et al.  Three-dimensional pose estimation model for object with complex surface , 2015 .

[13]  Wenfu Xu,et al.  Pose measurement of large non-cooperative satellite based on collaborative cameras , 2011 .

[14]  Bao Wei.  Present Situation and Development Tendency of Aerospace Control Techniques , 2013 .

[15]  Zhiguo Jiang,et al.  Vision-based pose estimation for cooperative space objects , 2013 .