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

By conducting multi-dimensional evaluation based on image and state information in the vehicle autonomous driving system, and combining adversarial reasoning with the planning decision and safety review modules, efficient and safe vehicle control commands are generated, solving the path decision safety problem in complex traffic scenarios and achieving a balance between safety and efficiency in different scenarios.

CN121912996BActive Publication Date: 2026-06-23CHONGQING CHANGAN AUTOMOBILE CO LTD
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Patent Information

Application Number
CN202610382128.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-03-26
Publication Date
2026-06-23
Estimated Expiration
2046-03-26

AI Technical Summary

Technical Problem

Existing trajectory planning models suffer from path planning errors in complex traffic scenarios, resulting in insufficient safety in path decision-making during autonomous driving.

Method used

By determining the target input sequence based on image information and vehicle status information, the planning and decision-making module performs initial driving information planning, the safety review module performs adversarial reasoning to generate risk warning information, and the arbitration module performs information fusion to generate vehicle control commands, thereby improving the safety of path decision-making.

Benefits of technology

In complex traffic scenarios, it improves the safety of path decision-making during autonomous driving, reduces the consumption of computing resources, and dynamically balances aggressive and conservative strategies in different scenarios to ensure efficient and safe driving.

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Abstract

The application relates to a vehicle control method, device, vehicle and computer readable storage medium. The method comprises: determining a target input sequence based on image information and vehicle state information of a target vehicle during driving; the target input sequence comprises a visual token sequence; performing planning and prediction processing on the target input sequence by using a planning decision module to obtain initial driving information of the target vehicle; performing adversarial reasoning on the initial driving information and the visual token sequence by using a safety review module to obtain risk warning information of the target vehicle; and performing arbitration processing on the initial driving information and the risk warning information by using an arbitration module to obtain a control instruction of the target vehicle, so that the target vehicle drives according to the control instruction. The application can improve the path decision safety of a vehicle in a complex traffic scene during automatic driving.
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