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Inertial sensor and computer implemented procedure for self-calibration of an inertial sensor

机译:惯性传感器和计算机实现了惯性传感器的自校准的过程

摘要

The invention concerns a computer-implemented process for self-calibrating an inertial sensor. The procedure includes the following steps: determining data relating to the inertial sensor; dividing the data into training data and test data; establishing a first target accuracy value for a first artificial neural network with linear activation functions; training the first artificial neural network with the training data; entering the test data into the trained first artificial neural network in order to obtain a first baseline value of the first artificial neural network;Determine a first output accuracy value based on a comparison between the first baseline and the test data; store weights and linear activation functions of the first artificial neural network in an inertial sensor storage unit when the first output accuracy value is greater than the first target accuracy value is, or training the first artificial neural network again with the training data, if the first output accuracy value is lower than the first target accuracy value.
机译:本发明涉及一种用于自校准惯性传感器的计算机实现的方法。该过程包括以下步骤:确定与惯性传感器有关的数据;将数据划分为培训数据和测试数据;建立具有线性激活功能的第一人工神经网络的第一个目标精度值;用训练数据训练第一人工神经网络;将测试数据输入到训练的第一人工神经网络中,以获得第一人工神经网络的第一基线值;基于第一基线与测试数据之间的比较来确定第一输出精度值;当第一输出精度值大于第一目标精度值时,在惯性传感器存储单元中存储权重和线性激活功能,或者将第一人工神经网络再次与训练数据再次训练,如果是第一个输出精度值低于第一个目标精度值。

著录项

  • 公开/公告号DE102019214984A1

    专利类型

  • 公开/公告日2021-04-01

    原文格式PDF

  • 申请/专利权人 ROBERT BOSCH GMBH;

    申请/专利号DE201910214984

  • 发明设计人 MATTHIAS KUEHNEL;WENQING LIU;

    申请日2019-09-30

  • 分类号G01P21;G01C19/56;G01C25;G06N3/02;

  • 国家 DE

  • 入库时间 2022-08-24 18:02:14

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