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Automobile cabin intelligent adaptation model algorithm under biological recognition technology and data driving

A biometric, data-driven technology, applied in biological neural network models, character and pattern recognition, computing, etc., can solve problems such as reduced driving comfort, reduced safety, and poor matching, achieving a high degree of customization , to ensure the effect of driving comfort and safety

Inactive Publication Date: 2021-07-20
中汽研软件测评(天津)有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When my country's automobile companies develop cockpit sitting posture adjustment, they usually adopt the SAE man-machine system (Society of Automotive Engineers), but the SAE man-machine system is based on the model established by the Western race, and the Chinese have their own race, For reasons such as living habits, the seat suitability line formulated based on the SAE human-machine system does not match well with Chinese people, which may easily lead to a decrease in driving comfort and safety.

Method used

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  • Automobile cabin intelligent adaptation model algorithm under biological recognition technology and data driving
  • Automobile cabin intelligent adaptation model algorithm under biological recognition technology and data driving
  • Automobile cabin intelligent adaptation model algorithm under biological recognition technology and data driving

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Embodiment 1

[0054] The technical problem to be solved in this embodiment is that when existing automobile companies develop cockpit posture adjustments, the seat suitability line established by the SAE man-machine system does not match well with Chinese people, which may easily lead to a decrease in driving comfort and safety. reduced sex.

[0055] In order to solve the above technical problems, this embodiment provides a biometric technology and a data-driven intelligent adaptation model algorithm for the car cockpit, such as figure 1 shown, including the following steps:

[0056] S110: Collect the driving posture data of the car cockpit, the driving posture data includes driver information, vehicle man-machine parameter information and seat position information;

[0057] The driver information includes: gender parameters, height parameters, age parameters and weight parameters;

[0058] The human-machine parameter information of the vehicle is as follows: image 3 shown, including: H...

Embodiment 2

[0109] This embodiment also provides an auto cockpit adaptive adjustment device, such as figure 2 shown, including:

[0110] The data collection module 100 is used to collect the driving posture data of the car cockpit, and the driving posture data includes driver information, vehicle man-machine parameter information and seat position information;

[0111] The feature extraction module 200 is used to establish a feature extraction model of the driving posture data of the car cockpit, and filter out the screening feature vectors with higher contribution to seat position prediction through the feature extraction model;

[0112] The model training module 300 is used to establish a seat comfort position prediction model based on the BP neural network, and input and filter feature vectors to train the model;

[0113] The seat adjustment module 400 is configured to input a specific feature vector of the car cockpit, acquire seat position information of the car cockpit and adjust ...

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Abstract

The invention provides an automobile cabin intelligent adaptation model algorithm under a biological recognition technology and data driving; the algorithm comprises the steps: collecting the driving posture data of an automobile cabin, wherein the driving posture data comprises driver information, vehicle man-machine parameter information and seat position information; establishing a feature extraction model of the driving posture data of the automobile cabin, and screening out screened feature vectors with relatively high contribution degree to seat position prediction through the feature extraction model; establishing a seat comfortable position prediction model based on a BP neural network, and inputting a screening feature vector to train the model; and inputting the specific feature vector of the automobile cabin, obtaining the seat position information of the automobile cabin, and correspondingly adjusting the seat position. The method has the beneficial effects that the seat comfortable position prediction model is re-constructed, and prediction and adjustment of comfortable positions of different drivers are realized, so that the user-defined degree is relatively high, differentiated driving and riding requirements can be met, and driving and riding comfort and safety are ensured.

Description

technical field [0001] The invention relates to the technical field of automobile human-computer interaction and intelligent equipment, in particular to an intelligent adaptation model algorithm of an automobile cockpit driven by biometric technology and data. Background technique [0002] Using human-computer interaction and intelligent design to realize the high comfort of automobiles has become one of the key research topics in the automobile industry. When my country's automobile companies develop cockpit sitting posture adjustment, they usually adopt the SAE man-machine system (Society of Automotive Engineers), but the SAE man-machine system is based on the model established by the Western race, and the Chinese have their own race, For reasons such as living habits, the seat suitability line formulated based on the SAE man-machine system does not match well with Chinese people, which may easily lead to a decrease in driving comfort and safety. Contents of the invention...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/06G06N3/08
CPCG06N3/061G06N3/08G06V20/46G06V20/597G06V20/52G06N3/045G06F18/23G06F18/2411G06F18/214B60N2/0277B60N2220/30G06N3/084B60N2/0268B60N2/0272
Inventor 鞠伟男何龙飞霍宝锋刘娇杨邵学彬温泉刘丽萍林梅霞王云川曹娇娇
Owner 中汽研软件测评(天津)有限公司
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