Vehicle cabin adjustment method, system and device based on scene recognition and medium

By automatically adjusting cabin parameters based on vehicle driving scenarios and passenger comfort, the problem of low cabin adjustment efficiency and accuracy in existing technologies is solved, thus improving the user experience.

CN116946054BActive Publication Date: 2026-06-26GAC HONDA AUTOMOBILE CO LTD +1
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Patent Information

Application Number
CN202310931074.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-07-26
Publication Date
2026-06-26
Estimated Expiration
2043-07-26

AI Technical Summary

Technical Problem

In existing technologies, vehicle cabin adjustment cannot be precisely and automatically adjusted according to real-time driving scenarios and user comfort, which affects the efficiency and accuracy of cabin adjustment and reduces the user's travel experience.

Method used

By acquiring vehicle driving status, external environment and road image information, a pre-trained driving scene recognition model is used to identify the current scene, and combined with the image information of the people in the vehicle to determine the riding comfort, and automatically adjust the cabin parameters to match the target driving mode.

Benefits of technology

It enables real-time and precise adjustment of the vehicle cabin, improving the efficiency and accuracy of cabin adjustment and enhancing the user's travel experience.

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Abstract

The application discloses a vehicle cabin adjusting method and system based on scene recognition, a device and a medium, and comprises the following steps: obtaining driving state information, external environment information and road image information around a target vehicle; inputting the driving state information, the external environment information and the road image information into a pre-trained driving scene recognition model to obtain a current driving scene of the target vehicle; obtaining human body image information and face image information of a person in the vehicle, and determining a current ride comfort of the person in the vehicle according to the human body image information and the face image information; determining a target driving mode according to the current driving scene, and determining target cabin parameters according to the target driving mode and the current ride comfort, and then adjusting the cabin of the target vehicle according to the target cabin parameters. The application improves the efficiency and accuracy of vehicle cabin adjustment, improves the travel experience of users, and can be widely applied to the technical field of vehicle control.
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