Safety Verification for Evasive Collision Avoidance in Autonomous Vehicles with Enhanced Resolutions
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866912270527758336 |
|---|---|
| author | Arab, Aliasghar Khaleghi, Milad Partovi, Alireza Abbaspour, Alireza Shinde, Chaitanya Mousavi, Yashar Azimi, Vahid Karimmoddini, Ali |
| author_facet | Arab, Aliasghar Khaleghi, Milad Partovi, Alireza Abbaspour, Alireza Shinde, Chaitanya Mousavi, Yashar Azimi, Vahid Karimmoddini, Ali |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_02706 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Safety Verification for Evasive Collision Avoidance in Autonomous Vehicles with Enhanced Resolutions Arab, Aliasghar Khaleghi, Milad Partovi, Alireza Abbaspour, Alireza Shinde, Chaitanya Mousavi, Yashar Azimi, Vahid Karimmoddini, Ali Robotics Systems and Control 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. |
| title | Safety Verification for Evasive Collision Avoidance in Autonomous Vehicles with Enhanced Resolutions |
| topic | Robotics Systems and Control |
| url | https://arxiv.org/abs/2411.02706 |