Safety Verification for Evasive Collision Avoidance in Autonomous Vehicles with Enhanced Resolutions

TL;DR

This paper introduces a safety verification framework for an evasive collision avoidance system in autonomous vehicles, emphasizing hazard analysis, risk assessment, and a novel loss evaluation to improve safety and reliability.

Contribution

It presents a comprehensive safety verification process and a new loss evaluation approach for the EMRM system, enhancing collision avoidance safety in autonomous vehicles.

Findings

Hazard identification and risk assessment for EMRM system.

A novel loss evaluation method for mitigation maneuvers.

Verification of minimum-risk maneuver feature.

Abstract

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.