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首页> 外文会议>International astronautical congress >ADAPTIVE FILTER BASED ARTIFICIAL INTELLIGENCE APPROACH IN IMAGE PROCESSING FOR DEEP SPACE INTERPLANETARY AUTONOMOUS MISSIONS
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ADAPTIVE FILTER BASED ARTIFICIAL INTELLIGENCE APPROACH IN IMAGE PROCESSING FOR DEEP SPACE INTERPLANETARY AUTONOMOUS MISSIONS

机译：深空和星际自主任务图像处理中基于自适应滤波器的人工智能方法

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Technical advancements in communication systems design suitable for space conditions have hugely drawn inroads into space mission planning. Especially in deep space or interplanetary missions where the space conditions are extremely volatile and different from near earth missions, the total mission accomplishment is heavily dependent on communication and control systems onboard. Unmanned and autonomous missions completely rely on the onboard control circuitry and communication protocols that happen between the earth and the space vehicle. This paper discusses about the way how communication is done between the ground station and the space vehicle. Main focus is drawn towards designing a system for space vehicle which can autonomously think and take decisions on its own depending on the images the system (vehicle) captures. Artificial intelligence protocols that deal with the image processing techniques are discussed elaborately and the most important part of controlling the motion of the vehicle basing on the inputs after processing the image is given a deep insight. Controlling the motion of the vehicle using adaptive filter signal processing (kalman signal processing) is discussed with the kalman gain vector parameter specifications. Two most important aspects of autonomous space missions, image processing and motion controlling, are explained in relation with the communication that happens with the ground station. The advantages of how time delays are overcome by making the system autonomous, especially when distances count in terms of astronomical units, are listed out. A brief outlook of the systems design interconnecting all the sub systems is given and the selective image processing algorithms that can be dealt in tandem with artificial intelligence protocols are worked out.
机译：适用于空间条件的通信系统设计的技术进步极大地吸引了太空任务计划的介入。特别是在太空条件非常不稳定且与近地任务不同的深空或星际任务中，整个任务的完成很大程度上取决于机载通信和控制系统。无人驾驶和自主飞行任务完全依赖于地球和太空飞行器之间发生的机载控制电路和通信协议。本文讨论了地面站与航天器之间如何进行通信的方式。主要焦点集中在设计用于航天器的系统上，该系统可以根据系统（车辆）捕获的图像自主地进行思考并自行做出决定。详细讨论了处理图像处理技术的人工智能协议，并在处理图像后基于输入控制车辆运动的最重要部分得到了深刻的见解。使用卡尔曼增益矢量参数规范讨论了使用自适应滤波器信号处理（卡尔曼信号处理）控制车辆的运动。自主太空任务的两个最重要方面，即图像处理和运动控制，与与地面站进行的通信有关。列出了通过使系统具有自主性来克服时间延迟的优势，尤其是当距离以天文单位计算时。给出了将所有子系统互连的系统设计的简要概述，并提出了可以与人工智能协议一起处理的选择性图像处理算法。

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