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Inertial sensor, method for self-calibration of inertial sensor, and computer-readable medium

An inertial sensor and computer technology, applied in the testing/calibration of speed/acceleration/shock measurement equipment, neural learning methods, instruments, etc., can solve the problems of sensor accuracy reduction and avoid over-fitting and avoid fatal errors Effect

Pending Publication Date: 2021-03-30
ROBERT BOSCH GMBH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, if the number of inputs and / or layers increases, the output suffers from undesired overfitting (English "overfitting"), which leads to a severe reduction in the accuracy of sensor measurements

Method used

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  • Inertial sensor, method for self-calibration of inertial sensor, and computer-readable medium
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  • Inertial sensor, method for self-calibration of inertial sensor, and computer-readable medium

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Embodiment Construction

[0035] In the figures, identical reference numbers indicate identical or functionally identical elements.

[0036] exist figure 1 The basic elements of the embodiment of the computer-implemented method according to the invention shown in are a first artificial neural network 10, a second artificial neural network 20 and a unit 25, in particular a processor, for controlling the second artificial neural network The limit value of the output of the network 20 is used to determine the final output value.

[0037] The first and second artificial neural networks 10, 20, respectively, may be constructed on conventional artificial neural networks whose structure looks, for example, as image 3 shown. image 3 The conventional artificial neural network shown in has an input layer 11 with three inputs 13 , a hidden layer 15 with three neurons 17 and an output layer 27 with one neuron 19 . The output of neuron 19 is denoted by reference numeral 21 . Each neuron has an activation fun...

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PUM

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Abstract

The invention relates a computer-implemented method for self-calibration of an inertial sensor, comprising the following steps: establishing data that relate to the inertial sensor; subdividing the data into training data and test data; setting a first target accuracy value for a first artificial neural network that includes linear and / or non-linear activation functions; training the first artificial neural network using the training data; inputting the test data into the trained first artificial neural network to obtain a first output value of the first artificial neural network; establishinga first output accuracy value based on a comparison result between the first output value and the test data; storing weightings and the linear and / or non-linear activation functions of the first artificial neural network in a memory unit of the inertial sensor when the first output accuracy value is greater than the first target accuracy value, or training the first artificial neural network again using the training data when the first output accuracy value is less than the first target accuracy value.

Description

technical field [0001] The present invention relates to a computer-implemented method for self-calibration of inertial sensors. Furthermore, the invention relates to an inertial sensor, a computer program and a computer-readable medium for carrying out the method. Background technique [0002] Usually, the sensitivity of an inertial sensor is not constant, but deviates from the desired value after welding and throughout its service life due to fluctuations in mechanical and thermal loads. In particular, the ratio between the sensor output value and the sensor input value changes, which leads to inaccurate sensor measurements. After the installation of microsystem devices (English "microelectromechanical system devices" or "MEMS devices") with inertial sensors into target products (e.g. smartphones, drones), it is mostly no longer possible at the customer end with the help of specific test benches to accurately characterize and calibrate the sensitivity of inertial sensors,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C25/00G06N3/04G06N3/08
CPCG01C25/005G06N3/08G06N3/045G01P21/00G06N3/048G01C19/5726G06N3/02G05B13/027G05B13/029G05B19/404
Inventor M·屈内尔刘文庆
Owner ROBERT BOSCH GMBH