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Error distribution modeling for stereo vision system

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【作者】 刘宗明卢山张宇曹姝清叶东

【Author】 LIU Zong-ming;LU Shan;ZHANG Yu;CAO Shu-qing;YE Dong;School of Electrical Engineering and Automation,Harbin Institute of Technology;Shanghai Institute of Spaceflight Control Technology;Shanghai Key Laboratory of Space Intelligent Control Technology;

【通讯作者】 刘宗明;

【机构】 School of Electrical Engineering and Automation,Harbin Institute of TechnologyShanghai Institute of Spaceflight Control TechnologyShanghai Key Laboratory of Space Intelligent Control Technology

【摘要】 In order to complete the measurement of relative position and attitude for a malfunction satellite or space debris and some other non-cooperative targets in short range,we analyze the factors that affect the measurement accuracy including the image feature extraction accuracy,the focal length calibration precision,the rotation matrix and the baseline calibration precision between two cameras,based on the principles of photogrammetry and the measurement model.The analysis results indicate that under the constraints in our design,the distance error could be controlled below0.1 m.The analysis of the error affecting factors for stereo vision measurement system will guide the system design and engineering application.

【Abstract】 In order to complete the measurement of relative position and attitude for a malfunction satellite or space debris and some other non-cooperative targets in short range,we analyze the factors that affect the measurement accuracy including the image feature extraction accuracy,the focal length calibration precision,the rotation matrix and the baseline calibration precision between two cameras,based on the principles of photogrammetry and the measurement model.The analysis results indicate that under the constraints in our design,the distance error could be controlled below0.1 m.The analysis of the error affecting factors for stereo vision measurement system will guide the system design and engineering application.

【基金】 Supported by Shanghai Rising-Star Program(16QB1401000);Shanghai Science and Technology Committee(16111106700)
  • 【文献出处】 Journal of Beijing Institute of Technology ,北京理工大学学报(英文版) , 编辑部邮箱 ,2016年S2期
  • 【分类号】V467;TP391.41
  • 【下载频次】4
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