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Satellite Articulation Sensing using Computer Vision

机译:使用计算机视觉的卫星清晰度感测

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Autonomous on-orbit satellite servicing benefits from an inspector satellite that can gain as much information as possible about the primary satellite. This includes performance of articulated objects such as solar arrays, antennas, and sensors. This paper presents a method of sensing and characterizing single-axis articulation of a solar panel on a target satellite from an inspector satellite in a natural circumnavigation trajectory around the target. The method presented uses trajectories of feature points on the target satellite to sense articulated motion. Motion segmentation is then used to separate feature points into groups consisting only of points that undergo the same motion. Structure from motion methods are used to develop point clouds representing each of the distinct objects. Finally, the axis and angle of the articulation are identified. The method is demonstrated using simulated data where point cloud radial error on the order of 2%, articulation axis error of approximately 0.04 radians, and relative articulation angle mean square error of approximately 0.002 radians were obtained.
机译:自主的在轨卫星服务得益于检查卫星,该卫星可以获取有关主卫星的尽可能多的信息。这包括铰接物体(例如太阳能电池板,天线和传感器)的性能。本文提出了一种方法,该方法可感测和表征目标卫星上的太阳能电池板从检查卫星以目标周围的自然环绕运动轨迹进行的目标卫星的单轴关节运动。提出的方法使用目标卫星上的特征点的轨迹来感知关节运动。然后使用运动分割将特征点分为仅由经历相同运动的点组成的组。来自运动方法的结构用于开发代表每个不同对象的点云。最后,确定关节的轴线和角度。使用模拟数据证明了该方法,其中获得了大约2%的点云径向误差,大约0.04弧度的铰接轴误差和大约0.002弧度的相对铰接角均方误差。

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