基于自标定技术的空间机械臂相机坐标系引出方法

岳丽清; 王东杰; 张京运; 张继友

光学与光电技术, 2017, 15 (1): 34, 网络出版: 2017-02-23

基于自标定技术的空间机械臂相机坐标系引出方法

Eduction Method of Space Manipulator Camera Coordinate System Based on Self-Calibration

论文大纲

岳丽清 ^*王东杰张京运张继友

作者单位

北京空间机电研究所, 北京 100190

机械臂坐标系自标定空间关系尺寸 space manipulator coordinate system self-calibration space relationship

摘要

机械臂视觉相机除了有视觉监视作用外,还可以对观测目标进行三维位姿测试。在相机整星安装阶段,需要将相机坐标系引入到相机安装坐标系中。由于相机坐标系的原点为针孔模型的投影中心,为一虚拟位置,无法通过直接测量的方式给出其具体位置。提出了一种基于自标定技术引出相机坐标系的方法,该方法通过相机对目标拍照,根据多幅图像间的对应匹配特征点,可得出相机的方位参数,进而引出相机坐标系。该方法简单直接,引出精度可达±0.117 mm,能够满足测试需求和测试精度,对摄影测量相机的装调具有指导意义。

Abstract

Besides the capability of visual surveillance, space manipulator vision system can measure the pose and attitude of target during the period of camera assembled to the satellite. The camera coordinate system should be connected to the camera assemblage coordinate system. Because the origin of the camera coordinate system is the center of the pinhole model,it can not be directly measured. A method for the eduction of camera coordinate system based on self-calibration was proposed. It is based on a pinhole-camera-model and all the camera intrinsic parameters can be obtained directly by the relationship of the matching feature points between a plurality of images. The experimental results show that the method is simple and direct. The accuracy of this method can reach as high as ±0.117 mm, which is able to satisfy the test needs and the test precision. And it offers a meaningful principle of integration measured camera.

参考文献

[1] 李大明, 饶炜, 胡成威, 等. 空间站机械臂关键技术研究［J］. 载人航天, 2014, 20(3)： 238-242.

LI Da-ming, RAO Wei, HUCheng-wei, et al. Key technology review of the research on the space station manipulator［J］. Manned Space Flight,2014,20(3)：238-242.

[2] 张凯锋, 周晖, 温庆平, 等. 空间站机械臂研究［J］. 空间科学学报, 2010, 30(6): 612-619.

ZHANG Kai-feng, ZHOU Hui, WEN Qing-ping, et al. Review of the development of robotic manipulator for international　space station［J］. Chinese Journal of Space Science, 2010, 30(6): 612-619.

[3] 于登云, 孙京, 马兴瑞. 空间机械臂技术及发展建议［J］. 航天器工程, 2007, 16(4): 1-8.

YU Deng-yun, SUN Jing, MA Xing-rui. Suggestion on development of Chinese space manipulator technology［J］. Spacecraft Engineering, 2007, 16(4): 1-8.

[4] 陈磊, 高升, 袁宝峰, 等. 基于多相机的空间机械臂视觉系统［J］. 航天返回与遥感. 2014, 35(3)： 35： 42.

CHEN Lei, GAO Sheng, YUAN Bao-feng, et al. Multi-camera based space manipulator vision system［J］. Spacecraft Recovery & Remote Sensing. 2014, 35(3)： 35： 42.

[5] 谭启蒙, 胡成威, 高升. 空间机械臂视觉相机内参标定技术研究［J］. 航天返回与遥感. 2013, 34(6)： 74-80.

TAN Qi-meng, HU Cheng-wei, GAO Sheng. Research on calibration of intrinsic parameters for space manipulator camera based on 2D planar pattern［J］. Spacecraft Recovery & Remote Sensing. 2013, 34(6)： 74-80.

[6] 王晋疆, 金素坤, 邸旭, 等. 经纬仪测量系统在工业测量中的应用［J］. 光电工程. 2003. 30(1)： 53-55.

WANG Jin-jiang, JIN Su-kun, DI Xu, et al. Application of theodolite measuring system in industrial measurement［J］. Opto-Electronic Engineering.2003.30(1)：53-55.

[7] Gary Bradski, Adrian Kaebler. 于仕琪, 等译. 学习OpenCV［M］. 北京：清华大学出版社. 2009.

[8] Ravi Samtaney. A method to solve interior and exterior camera calibration parameters for image resection［J/OL］. NAS-99-003.1999.

[9] 鲍建宽, 李永利, 李秀海. 大地坐标转换模型及其应用［J］. 测绘工程. 2013, 22(3)： 56-60.

BAO Jian-kuan, LI Yong-li, LI Xiu-hai. Geodetic coordinate transformation model and its application.［J］. Engineering of Surveying and Mapping. 2013, 22(3)： 56-60.

[10] 郭英起. 基于空间直角坐标系的高精度坐标转换方法研究［J］. 大地测量与地球动力学. 2012, 32(3)： 125-128

GUO Ying-qi. Research on coordinate transformation method of high accuracy based on space rectangular coordinates system.［J］. Journal of Geodesy And Geodynamics. 2012, 32(3)： 125-128.

岳丽清, 王东杰, 张京运, 张继友. 基于自标定技术的空间机械臂相机坐标系引出方法[J]. 光学与光电技术, 2017, 15(1): 34. YUE Li-qing, WANG Dong-jie, ZHANG Jing-yun, ZHANG Ji-you. Eduction Method of Space Manipulator Camera Coordinate System Based on Self-Calibration[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2017, 15(1): 34.

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