This paper presents a comprehensive hazard analysis, risk assessment, and loss evaluation for an Evasive Minimum Risk Maneuvering (EMRM) system designed for autonomous vehicles. The EMRM system is engineered to enhance collision avoidance and mitigate loss severity by drawing inspiration from professional drivers who perform aggressive maneuvers while maintaining stability for effective risk mitigation. Recent advancements in autonomous vehicle technology demonstrate a growing capability for high-performance maneuvers. This paper discusses a comprehensive safety verification process and establishes a clear safety goal to enhance testing validation. The study systematically identifies potential hazards and assesses their risks to overall safety and the protection of vulnerable road users. A novel loss evaluation approach is introduced, focusing on the impact of mitigation maneuvers on loss severity. Additionally, the proposed mitigation integrity level can be used to verify the minimum-risk maneuver feature. This paper applies a verification method to evasive maneuvering, contributing to the development of more reliable active safety features in autonomous driving systems.

翻译：本文针对自动驾驶车辆设计的规避性最小风险机动系统，开展了全面的危险分析、风险评估与损失评估研究。该规避性最小风险机动系统借鉴专业驾驶员在保持稳定性以有效降低风险的同时执行激进机动操作的经验，旨在增强碰撞规避能力并减轻事故损失严重程度。自动驾驶技术的最新进展表明其执行高性能机动操作的能力日益增强。本文论述了完整的安全验证流程，并建立了明确的安全目标以强化测试验证工作。本研究系统性地识别了潜在危险源，并评估了其对整体安全性及弱势道路使用者保护的风险影响。论文提出了一种创新的损失评估方法，重点关注规避机动操作对损失严重程度的影响机制。此外，所提出的风险缓解完整性等级可用于验证最小风险机动功能的可靠性。本文将验证方法应用于规避机动场景，为开发更可靠的自动驾驶系统主动安全功能提供了理论支撑。