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Autonomous navigation algorithm for precision landing based on computer vision

机译:基于计算机视觉的精确着陆自主导航算法

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In this paper we propose a visual algorithm for use by a deep space exploration spacecraft to estimate the relative position and attitude on broad during the descent phase. This algorithm is composed of the relative motion recovery which provides part motion states estimates based on tracking feature through the monocular image sequence, and landmark recognition based algorithm which offers the scale of the relative motion and absolute position of spacecraft. The results on synthetic image show that the proposed algorithm can provide the estimation of state with satisfactory accuracy.
机译:在本文中,我们提出了一种用于深度空间探索航天器使用的视觉算法,以估计在下降阶段期间宽的相对位置和姿态。该算法由相对运动恢复组成,该相对运动恢复基于通过单眼图像序列的跟踪特征提供零件运动状态估计,以及基于地标识别的算法,其提供了航天器的相对运动和绝对位置的比例。合成图像的结果表明,所提出的算法可以以满意的精度提供状态估计。

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