Control method, system and equipment for driving intelligent chassis by passenger personalized preference based on vision-language-action model and storage medium
The intelligent chassis control method driven by occupant personalized preferences using a vision-language-action model solves the problem of joint reasoning between occupant preferences and visual scenes in existing technologies. It realizes the mapping of personalized dynamic performance indicators of chassis control and controller parameters, and improves the expression of individual differences in chassis control and the system-level control effect.
Patent Information
- Application Number
- CN202610664264.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-14
- Publication Date
- 2026-06-26
AI Technical Summary
Existing chassis control technologies lack the ability to structure and express the personalized dynamic experience preferences of occupants. They cannot jointly reason with the semantics of visual scenes, nor can they map personalized preferences into chassis dynamic performance indicators and controller parameters. They also lack intelligent chassis control mechanisms that cater to individual differences.
A personalized chassis control method based on vision-language-action model is adopted to drive intelligent chassis control based on occupant preferences. Through multi-source information acquisition, occupant preference profile construction, multi-modal fusion coding, and vision-language-action model reasoning, a scene-related personalized chassis style intent is generated. Based on the intent, chassis dynamic performance indicators and controller parameters are generated to achieve personalized collaborative control of the chassis system.
It enhances the ability to express individual differences in chassis control, and can provide different and reasonable control interpretations for the same preference in different scenarios. It supports the coordinated and personalized adjustment of multiple actuators in steering, braking, drive, suspension and stability control systems, and has good product application value.