基于Cordic算法的车载计算机功能实现

M. Khachumov, A. Talalaev, Alexander Pankratov
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引用次数: 0

摘要

提高无人机的自给性要求在机载计算机的一定限制下,无人机的功能得到极大的扩展。为了完成这项任务,我们必须实现广泛的数据处理方法和算法,包括距离和速度测量、导航、定向、计算机视觉系统的精确制导、物体搜索、物体识别、智能控制等。我们讨论了为车载计算机选择合适的硬件和软件平台,以及在计算单元上优化功能分配以提供实时数据处理的问题。优先考虑支持CORDIC家族算法的软件和平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Onboard Computer Function Implementation Based on Cordic Algorithm
Increasing the self-sufficiency of unmanned aerial vehicles (UAV) requires that their functionality is greatly expanded under certain restrictions on their onboard computers. For this mission, we have to fulfil a wide range of data processing methods and algorithms, including distance and speed measurement, navigation, orientation finding, precision guidance of computer vision systems, search for objects, recognition of objects, intelligent control, etc. We discuss the problems of choosing the appropriate hardware and software platforms for onboard computers, and optimal distribution of functions over the computing units in order to provide data processing in real time. Preference is given to the software and platforms which support the algorithms from CORDIC family.
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