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Attitude computation algorithm for star camera based on combining calibration and attitude determination processes

机译:基于组合校准和姿态确定过程的星形相机姿态计算算法

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摘要

In this paper, a new approach for calculating star camera attitudes, which can calculate calibration parameters and attitude information simultaneously, in situations where precise camera calibration results are unknown, is proposed. This algorithm combines the calibration and attitude determination processes, achieving significantly improved performance as a result. Experiments using 1500 star images from different sky regions show that, compared with the traditional method that separates calibration and attitude determination, the proposed algorithm not only exhibits more precise and stable results, but also shows improved tolerance for the star mismatching which is inevitable in star sensor data process technology. (C) 2020 Optical Society of America
机译:在本文中,提出了一种用于计算星形摄像机态度的新方法,可以在精确的相机校准结果未知的情况下同时计算校准参数和姿态信息。 该算法结合了校准和姿态确定过程,从而实现了显着提高的性能。 使用来自不同天空区域的1500星图像的实验表明,与分离校准和姿态测定的传统方法相比,所提出的算法不仅表现出更精确和稳定的结果,而且还显示出在明星中不可避免的明星不匹配的耐受性。 传感器数据过程技术。 (c)2020美国光学学会

著录项

  • 来源
    《Applied optics》 |2020年第21期|共8页
  • 作者单位

    Wuhan Univ State Key Lab Informat Engn Surveying Mapping &

    R Wuhan 430079 Hubei Peoples R China;

    Wuhan Univ State Key Lab Informat Engn Surveying Mapping &

    R Wuhan 430079 Hubei Peoples R China;

    Wuhan Univ State Key Lab Informat Engn Surveying Mapping &

    R Wuhan 430079 Hubei Peoples R China;

    China Aerosp Sci &

    Ind Corp Res Inst 8511 Nanjing Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 应用;
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