一种车辆控制方法、系统、电子设备、存储介质及产品

By analyzing the driving data of multiple historical vehicles through a cloud server, personalized vehicle control commands are generated, which solves the problem of unreliable road obstacle information in autonomous driving technology, realizes high-precision vehicle cooperative control, and improves safety and adaptability.

CN121515979BActive Publication Date: 2026-07-17HUIZHOU DESAY SV AUTOMOTIVE

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUIZHOU DESAY SV AUTOMOTIVE
Filing Date
2025-12-31
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing autonomous driving technologies, the vehicle's vision or lidar sensors cannot obtain reliable road obstacle information in adverse weather conditions, road debris, or when the vehicle in front blocks the view, which prevents the vehicle control system from making high-precision and high-safety collaborative control decisions.

Method used

By aggregating driving data of multiple historical vehicles in the target area through a cloud server, analyzing and identifying road obstacles, and combining the vehicle model parameters of the target vehicle to generate personalized vehicle control commands, which are then sent to the target vehicle to execute traffic control.

Benefits of technology

It significantly improves the robustness and accuracy of road obstacle recognition, and achieves highly reliable and adaptable cloud-based collaborative vehicle control, ensuring the safe passage of target vehicles in complex environments.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了一种车辆控制方法、系统、电子设备、存储介质及产品。其中,该方法应用于云端服务器,包括:响应于目标车辆对目标区域的通行请求,获取目标区域内多辆历史车辆通行时的车辆行驶数据;基于车辆行驶数据,确定目标区域内存在的路面障碍;基于路面障碍和目标车辆的车辆型号参数,生成车辆控制指令;将车辆控制指令下发至目标车辆,以供目标车辆基于车辆控制指令执行通行控制。本方案通过汇聚多辆历史车辆在目标区域内的行驶数据,由云端服务器分析并确定路面障碍,进而结合目标车辆的具体型号参数生成个性化的车辆控制指令,显著提升了路面障碍识别的鲁棒性与准确性,实现了高可靠性、高适配性的云端协同车辆控制。
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