道路轮廓测量中的维纳滤波和神经网络滤波

IF 0.3 Q4 MECHANICS

Moscow University Mechanics Bulletin Pub Date : 2021-08-03 DOI:10.3103/S0027133021020035

Yu. V. Bolotin, P. A. Egorov

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引用次数: 1

摘要

将维纳滤波和神经网络滤波与道路轮廓测量问题相结合。道路轮廓是使用固定在移动汽车中的智能手机的惯性数据来识别的。通过驾驶汽车通过一系列减速带的实验，比较了这些方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Wiener Filter and Neural Network Filter for Measuring the Road Profile

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Wiener Filter and Neural Network Filter for Measuring the Road Profile

Wiener filter and neural network filter are considered in relation to the problem of measuring the road profile. Road profile is identified using the inertial data from a smartphone rigidly fixed inside a moving car. The effectiveness of the approaches is compared by experimentally driving a car through a series of speed bumps.

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来源期刊

Moscow University Mechanics Bulletin MECHANICS-

CiteScore

0.60

自引率

0.00%

发文量

期刊介绍： Moscow University Mechanics Bulletin is the journal of scientific publications, reflecting the most important areas of mechanics at Lomonosov Moscow State University. The journal is dedicated to research in theoretical mechanics, applied mechanics and motion control, hydrodynamics, aeromechanics, gas and wave dynamics, theory of elasticity, theory of elasticity and mechanics of composites.