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首页> 外文期刊>IEEE Transactions on Instrumentation and Measurement >Virtual Stereovision Pose Measurement of Noncooperative Space Targets for a Dual-Arm Space Robot
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Virtual Stereovision Pose Measurement of Noncooperative Space Targets for a Dual-Arm Space Robot

机译:双手臂空间机器人非合作空间目标的虚拟立体视觉姿势测量

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Noncooperative target pose (position and attitude) measurement is very important for on-orbital servicing tasks, such as malfunctioned spacecraft capturing and repairing, space debris removal, and so on. Traditional stereovision-based methods require the two cameras to observe the same object and form a common observation area, limiting system flexibility, and measurement distance. In this paper, a virtual stereovision (VSV) modeling and pose measurement method are proposed for a dual-arm space robotic system. Each arm only carries one camera to observe different objects. The geometry features (i.e., the triangle, quadrilateral, or circular features) are independently extracted from the images of each camera. The two separate cameras are mapped to a stereo measurement range and the, respectively, identified features are converted into an equivalent "virtual common feature." Then, a "VSV measurement system" is constructed. The rocket nozzle and the triangular support of the satellite are considered as different objects to be observed by the two cameras of a dual-arm space robot. The pose of the nozzles and the triangular brackets is further achieved based on the VSV information. Finally, we developed an experimental system, which is composed of a satellite mockup, two monocular cameras, and high precision laser tracker (used to evaluate the vision measure accuracy). The experimental results verified the proposed method. The average position error of the method is less than 6.1367 mm, and the average attitude error is less than 2.415.
机译:非合作目标姿态(位置和姿态)的测量对于在轨维修任务非常重要,例如航天器的捕获和修复故障,空间碎片清除等。传统的基于立体视觉的方法要求两个摄像机观察同一物体并形成一个共同的观察区域,从而限制了系统的灵活性和测量距离。本文提出了一种用于双臂空间机器人系统的虚拟立体视觉(VSV)建模和姿态测量方法。每只手臂仅搭载一台摄像机即可观察不同的物体。从每个摄像机的图像中独立提取几何特征(即三角形,四边形或圆形特征)。将两个单独的摄像机映射到一个立体测量范围,并将分别识别出的特征转换为等效的“虚拟共同特征”。然后,构建“ VSV测量系统”。双臂太空机器人的两个摄像头将火箭的喷嘴和卫星的三角形支架视为要观察的不同对象。基于VSV信息进一步实现喷嘴和三角支架的姿势。最后,我们开发了一个实验系统,该系统由卫星模型,两个单眼相机和高精度激光跟踪仪组成(用于评估视觉测量的准确性)。实验结果验证了该方法的有效性。该方法的平均位置误差小于6.1367mm,并且平均姿态误差小于2.415。

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