基于计算机视觉的卫星相对导航实验仿真

M. Abderrahim, J. Diaz, C. Rossi, M. Salichs
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引用次数: 11

摘要

本文介绍了利用计算机视觉模拟卫星间相对自主导航的机电一体化实验试验台。考虑到成本和风险,相对导航的实验测试在实际系统中是不可行的,因此决定建立一个模拟空间任务情景的实验平台。模拟任务是通过另一颗自主卫星(追逐者)来识别和检查卫星,该卫星接近目标并验证其实际状态。跟踪器的相对导航和目标检测都是基于计算机视觉的。该实验试验台将用于卫星服务任务的模拟,以测试所开发的视觉和导航算法和技术在空间动力学规律下的性能。该系统利用物体的三维模型来估计其位置和方向(姿态),并通过图像序列进行跟踪。姿态估计和特征对应的确定需要通过能够同时实现它们的算法来解决。本文介绍并讨论了这两种算法在仿真试验台上的初步结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental simulation of satellite relative navigation using computer vision
This paper presents a general description of a mechatronics experimental testbed developed to simulate relative autonomous navigation between satellites using computer vision. Since the experimental tests of relative navigation is not feasible in real systems for the costs and risks that implies, it was decided to construct an experimental platform that simulates the spatial mission scenario. The mission to simulate deals with the recognition and inspection of a satellite by means of another autonomous satellite (Chaser), which approaches its target and verify its actual state. Both relative navigation of the chaser and inspection of the target are based on computer vision. The experimental testbed will be used for the simulations of service missions of satellites to test the performance of the developed vision and navigation algorithms and techniques under space dynamics laws. The system uses a 3D model of the object to achieve the estimation of its position and orientation (pose), and to perform tracking by means of images sequences. The pose estimation and feature correspondence determination are to be solved by algorithms that are capable of achieving them simultaneously. The paper presents and discusses the initial results of the two algorithms that are being used in the simulation testbed.
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