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Vehicle data processing method and device, equipment and storage medium

A technology for vehicle data and processing methods, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as low processing efficiency of algorithm models, and achieve the effect of comprehensive data coverage, improved efficiency, and accurate algorithm models.

Pending Publication Date: 2021-08-10
UNITED AUTOMOTIVE ELECTRONICS SYST
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present application provides a vehicle data processing method, device, device and storage medium, which can solve the problem of low efficiency in training and processing algorithm models provided in the related art

Method used

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  • Vehicle data processing method and device, equipment and storage medium
  • Vehicle data processing method and device, equipment and storage medium
  • Vehicle data processing method and device, equipment and storage medium

Examples

Experimental program
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Embodiment approach

[0063] refer to image 3 , which shows a flow chart of a method for processing vehicle data provided by an exemplary embodiment of the present application, the method may be performed by figure 1 Executed by the computer device in the embodiment, the method may be figure 2 An optional implementation of step 203 in the embodiment, the method includes:

[0064] Step 301: Integrate the target feature vector in each sample segment to obtain the integral of the target feature vector.

[0065] By integrating the target feature vector, monotonically increasing data can be obtained, which is convenient for later data processing.

[0066] Step 302, calculate the histogram of the target feature vector according to the integral of the target feature vector.

[0067] Optionally, if you only care about the shape of the output curve, you can normalize the integral of the target feature vector to obtain the normalized integral; calculate the histogram of the target feature vector accordi...

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Abstract

The invention discloses a vehicle data processing method and device, equipment and a storage medium, and the method comprises the steps: obtaining vehicle data, with the vehicle data being data generated when a vehicle runs under different working conditions, and the vehicle data being time series data; dividing the vehicle data into K sample fragments according to the time sequence of the vehicle data, wherein each sample fragment in the K sample fragments comprises a target feature vector, and K is a natural number and is larger than or equal to 2; according to the type of the histogram of the target feature vector, acquiring each sample segment is clustered, Nc data sets, wherein Nc is a natural number, and Nc is larger than or equal to 2; and sampling each data set to obtain sampled data, wherein the sampled data is used for training and testing the target algorithm model. Each data set is sampled, so that the vehicle data required for training and testing are simplified, and the efficiency of training and testing the target algorithm model is improved.

Description

technical field [0001] The present application relates to the technical field, in particular to a vehicle control technical field, in particular to a vehicle data processing method, device, device and storage medium. Background technique [0002] With the development of vehicle intelligence and networking, there is an increasing demand for data processing through algorithmic models (such as machine learning models, digital twin models or physical models). [0003] In related technologies, the vehicle data can be processed through an algorithm model to obtain target parameters that need to be predicted, so as to control the vehicle according to the target parameters. When building an algorithm model, it is necessary to prepare training data and train the algorithm model through the training data. [0004] However, due to the presence of noise or outliers in the training data, the participation of such data in the training will make the algorithm model overfit, resulting in p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/23G06F18/214
Inventor 陆唯佳龚昊刘鹏李兵洋
Owner UNITED AUTOMOTIVE ELECTRONICS SYST
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