Vehicle control method, device, system, vehicle and readable storage medium

By acquiring user voice and behavior data, and using scene orchestration models and protocol scripts to generate personalized scenes, the problem of data transmission errors in existing technologies is solved, the accuracy and efficiency of scene generation are improved, and the user experience is enhanced.

CN117944596BActive Publication Date: 2026-07-24CHONGQING CHANGAN TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHONGQING CHANGAN TECH CO LTD
Filing Date
2024-01-02
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing scene orchestration technologies are prone to data transmission errors when users have multiple intentions, resulting in personalized scenes that do not meet user needs and a poor user experience.

Method used

By acquiring users' voice and behavioral data, scene orchestration results are automatically generated using a scene orchestration model. Combined with business engineering and protocol scripts, intent slot extraction is reduced, improving the accuracy and efficiency of scene generation.

Benefits of technology

It enables the rapid generation of personalized scenes that meet user needs without requiring pre-designed and arranged user interfaces, reducing arrangement time and improving user experience.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a vehicle control method, device, system, vehicle and readable storage medium, and relates to the technical field of vehicles, so as to flexibly generate a personalized scene of a vehicle. The method comprises the following steps: acquiring voice data of a user and behavior data of the user; inputting the behavior data into a preset business template to obtain a business result; substituting the business result into a perplexity formula to obtain the perplexity of the business result, and inputting the business result into a scene arrangement model in the case that the perplexity is less than a perplexity threshold value, so as to obtain a first protocol script; determining a first scene arrangement result and a second scene arrangement result; in response to a selection operation of the user, determining whether the first scene arrangement result and the second scene arrangement result are valid scene arrangement results; in the case that the first scene arrangement result and the second scene arrangement result are both valid scene arrangement results, determining a target scene arrangement result based on the state of the vehicle, and executing the target scene arrangement result.
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