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Performance evaluation of a vision sensor in 3D virtual environment for rendezvous and docking application

机译:视觉传感器在3D虚拟环境中的交会对接应用程序的性能评估

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In the international scenario of nations developing space stations, rendezvous and docking [RVD] is one of the most important processes associated with astronavigational activities. During the process of docking, as the distance between chaser and target spacecraft decreases on the approach line to the target spacecraft, the lateral displacement and velocities relative to the target will also decrease proportionally. This necessitates increased navigational accuracies along the approach sequence towards achieving docking. The absolute/relative navigation sensors used have a limited range and accuracy of operation, which determines the extent of the particular approach phase in which it will be used. Vision sensors can provide millimetre accuracies in less than ten meter range. This made Vision Sensors/ Computer Vision/ Machine vision a key element in proximity phase of RVD missions, especially in automated rendezvous and docking. This paper proposes a vision sensor for the above application and validates the concept and accuracy requirements using a 3D virtual environment.
机译:在国际上发展空间站的国际形势下,会合和对接[RVD]是与航空航天活动有关的最重要过程之一。在对接过程中,随着追赶者与目标航天器之间的距离在到目标航天器的接近线上减小,相对于目标的横向位移和速度也将成比例地减小。这就需要在进近顺序上增加导航精度,以实现对接。所使用的绝对/相对导航传感器具有有限的范围和操作精度,这确定了将在其中使用特定接近阶段的程度。视觉传感器可提供小于十米范围内的毫米精度。这使得视觉传感器/计算机视觉/机器视觉成为RVD任务接近阶段的关键要素,尤其是在自动会合和对接中。本文针对上述应用提出了一种视觉传感器,并使用3D虚拟环境验证了概念和准确性要求。

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