A vision-based relative navigation sensor for on-orbit servicing of CubeSats

R. Du, Xing Zhang, Xiang Zhang, Ling Wang, W. Liao
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引用次数: 1

Abstract

It has been anticipated that CubeSats would have wide applications in on-orbit servicing (OOS) fields due to their advantages of short research and development cycle and low manufacturing cost, in which the close-range relative navigation is a critical technique that usually requires high accuracy of the relative pose estimation. This paper proposes a vision-based relative navigation sensor for OOS of CubeSats. A set of active fiducial markers with multi-layer structure was designed to ensure an accurate unambiguous matching and measurement. An improved effective perspective-n-point (IEPnP) algorithm is developed to obtain an accurate relative state estimation. An experiment system which simulates the real illumination and motion conditions in space was set up to assess the performances of the proposed sensor. The results show that the sensor can overcome the interference of the ambient light, and can reach an accuracy of range estimation smaller than 2 mm and an accuracy of relative attitude estimation smaller than 0.4 deg at distance of 1 m. Through contrast tests, the accuracy of the proposed IEPnP algorithm is better than the classical perspective-3-point (P3P) algorithm and EPnP algorithm.
面向立方体卫星在轨服务的基于视觉的相对导航传感器
立方体卫星具有研发周期短、制造成本低等优点,在在轨服务领域具有广泛的应用前景,其中近距离相对导航是对相对姿态估计精度要求较高的关键技术。提出了一种基于视觉的立方体卫星OOS相对导航传感器。设计了一套多层结构的主动基准标记,保证了匹配和测量的准确性。为了获得精确的相对状态估计,提出了一种改进的有效视角-n点(IEPnP)算法。建立了一个模拟真实空间光照和运动条件的实验系统,对该传感器的性能进行了评估。结果表明,该传感器能够克服环境光的干扰,在1 m距离上的距离估计精度小于2 mm,相对姿态估计精度小于0.4°。通过对比测试,本文提出的IEPnP算法的准确率优于经典的视角-3点(P3P)算法和EPnP算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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