安全需求指标确定及验证方法、设备、车辆和存储介质

By decomposing the vehicle-level safety requirements of autonomous driving systems and calculating the failure rate of subsystems in all scenarios, the problem of insufficient applicability and accuracy of safety requirements in existing technologies is solved, thereby improving the reliability and safety of the system in various scenarios.

CN117520032BActive Publication Date: 2026-07-17JILIN UNIVERSITY +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JILIN UNIVERSITY
Filing Date
2023-10-30
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies for autonomous driving systems, the applicability and accuracy of safety requirement indicators are poor, mainly because they only consider failure rates under specific scenarios and rely on experience to decompose the indicators.

Method used

By determining the vehicle-level safety requirements indicators for autonomous driving systems and decomposing the indicators based on each subsystem, the failure rate of subsystems under all scenarios is calculated, avoiding reliance on human experience and improving the applicability and accuracy of the indicators.

Benefits of technology

This has improved the applicability and accuracy of safety requirements indicators for autonomous driving systems across all scenarios, ensuring the reliability and safety of the system in various situations.

✦ Generated by Eureka AI based on patent content.

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Abstract

本申请公开了一种安全需求指标确定及验证方法、设备、车辆和可读存储介质,该安全需求指标确定方法包括:确定自动驾驶系统的第一安全需求指标,第一安全需求指标为自动驾驶系统对应的整车级的安全需求指标;基于自动驾驶系统中的各子系统,对第一安全需求指标进行指标分解,得到每个子系统对应的子系统失效率;根据全部子系统对应的子系统失效率,确定自动驾驶系统对应的系统级的第二安全需求指标。上述安全需求指标确定方法,可以实现根据各子系统分解出全场景下的子系统失效率,避免仅计算特定场景下的失效率,同时不需要人工依赖经验进行分解,提高了自动驾驶系统的安全需求指标的适用性与准确性。
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