Relative Pose Measurement Algorithm of Non-cooperative Target based on Stereo Vision and RANSAC

The final approach phase of spacecraft rendezvous and docking is extremely important. In order to solve the problem of the real-time acquisition of the relative pose between target and spacecraft in near distance (<2m), this paper established a binocular stereovision model, and proposed a non-cooperative target relative pose measuring method based on stereo vision and RANSAC algorithm. Linear characteristic of Non-cooperative target was used to abstract feature points firstly, then stereo matching and 3-D restructuring were taken for the feature points, finally, an algorithm based on RANSAC algorithm was used to calculate the relative pose between the target and the camera. Therefore, errors were eliminated effectively, and the computation load was decreased by using disparity gradient constraint. Experimental results show that high accuracy and real-time results are the advantages of this method.

[1]  Rui Xu,et al.  Relative Position and Attitude Determination for Robotic Mars Soft Landing Using Multi-Point Laser Rangefinder , 2011 .

[2]  Yan Jie Transfer Alignment on Space Platform , 2008 .

[3]  Jingjiao Li,et al.  Improved Camshift with adaptive searching window , 2012, SOCO 2012.

[4]  Qiang Wen-yi Measurement of relative poses between two non-cooperative spacecrafts , 2009 .

[5]  Xie Yongchun A CCD Optical Sensor Based New Binocular Vision Measurement Algorithm for Rendezvous and Docking , 2011 .

[6]  Noriyasu Inaba,et al.  Rescuing a stranded satellite in space - experimental study of satellite captures using a space manipulator , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[7]  Jiri Matas,et al.  Optimal Randomized RANSAC , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Cao Xibin Robust method of vision-based relative pose parameters for non-cooperative spacecrafts , 2009 .

[9]  P. Jasiobedzki,et al.  Model based pose estimation for autonomous operations in space , 1999, Proceedings 1999 International Conference on Information Intelligence and Systems (Cat. No.PR00446).

[10]  Joachim Schiller Capabilities, developments and challenges in non-cooperative target identification using radar , 2011, 2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM.

[11]  Yunyi Yan,et al.  An Objects Detecting and Tracking method based on MSPF and SVM , 2012 .

[12]  Wenfu Xu,et al.  Attitude determination of large non-cooperative spacecrafts in final approach , 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

[13]  Phil Palmer,et al.  Estimating pose of known target satellite , 2000 .

[14]  Takeo Kanade,et al.  Shape and motion from image streams under orthography: a factorization method , 1992, International Journal of Computer Vision.

[15]  Zhong Shan Binocular Vision-based Relative Position and Attitude Determination Between Spacecrafts , 2008 .