Control method of vehicle emergency braking, computing device, vehicle and storage medium

By predicting the minimum distance between the vehicle and the target object in real time and dynamically adjusting the braking deceleration, the consistency and reliability issues of the automatic emergency braking system in different scenarios are solved, and more precise safe distance control is achieved.

CN122126285APending Publication Date: 2026-06-02CORECHENG (BEIJING) TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CORECHENG (BEIJING) TECHNOLOGY CO LTD
Filing Date
2026-03-16
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing automatic emergency braking systems struggle to maintain stable and precise collision avoidance performance in different scenarios, affecting the consistency and reliability of braking intervention. This is mainly because braking modes with fixed deceleration values ​​are difficult to adapt to the vehicle's braking response and the dynamic changes of the target object.

Method used

Closed-loop control is achieved by predicting the minimum distance between the vehicle and the target object in a future window in real time during braking, and dynamically adjusting the braking deceleration based on the deviation of the minimum distance from the expected safe distance.

Benefits of technology

It significantly improves the robustness and collision avoidance performance of the automatic emergency braking function in complex scenarios, and can more reliably maintain the distance between the vehicle and the target object within a safe range, thereby improving the overall consistency and control precision of braking intervention.

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Abstract

The present disclosure relates to a control method of vehicle emergency braking, a computing device, a vehicle and a storage medium, the method comprising: at a first sampling time when a vehicle performs automatic emergency braking, predicting a first braking trajectory of the vehicle within a first time window based on a first braking deceleration model; at the first sampling time, predicting a first target motion trajectory of a target object within the first time window based on first observation information of the vehicle on the target object; predicting a minimum distance between the vehicle and the target object within the first time window as a first safety distance according to the first braking trajectory and the first target motion trajectory; and determining a braking deceleration correction amount at the first sampling time according to a deviation degree of the first safety distance relative to a set safety distance.
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