一种用于自动制导的空间分布场特征跟踪新技术

J. B. Edwards, R. Iqbal
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引用次数: 0

摘要

本文的目的是利用周围场的模型和测量数据来定位和定位观察者。我们开发了一个单值解决方案来计算车辆在一个由已知多项式描述的连续野外环境中的位置,从该位置的最小等距野外测量次数和已知的多项式系数出发。如果单次扫描所获得的测量数据不足,则产生了利用多次扫描所获得的额外数据的公式。本文还讨论了这些算法在观测过程受到高斯白噪声干扰时的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new technique for tracking the features of a spatially distributed field for automatic guidance
This paper aims to utilise a model of the surrounding field together with measured data therefrom to locate and orientate an observer. A single valued solution is developed to calculate the position of a vehicle in a continuous field environment described by a known polynomial, from a minimum number of equispaced field measurements taken at that location and known coefficients of the polynomial. Where insufficient measurements from a single scan of the field are available, a formula for utilising extra data from several scans has been produced. The robustness of these algorithm, when the observation process is corrupted by Gaussian white noise, is also addressed.<>
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