High-Resolution Safety Verification for Evasive Obstacle Avoidance in Autonomous Vehicles
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 designed to improve collision avoidance and mitigate loss severity by drawing inspiration from professi...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Open Journal of Vehicular Technology |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10806869/ |
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| _version_ | 1841550744464916480 |
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| author | Aliasghar Arab Milad Khaleghi Alireza Partovi Alireza Abbaspour Chaitanya Shinde Yashar Mousavi Vahid Azimi Ali Karimmoddini |
| author_facet | Aliasghar Arab Milad Khaleghi Alireza Partovi Alireza Abbaspour Chaitanya Shinde Yashar Mousavi Vahid Azimi Ali Karimmoddini |
| author_sort | Aliasghar Arab |
| collection | DOAJ |
| description | 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 designed to improve collision avoidance and mitigate loss severity by drawing inspiration from professional drivers who perform aggressive maneuvers while maintaining stability for effective risk mitigation. Recent advances 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 the validation of the testing. 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 that focuses on the impact of mitigation maneuvers on loss severity. In addition, 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 | Article |
| id | doaj-art-1ebfdf5a9cea46eb8a02a79eb533aea4 |
| institution | Kabale University |
| issn | 2644-1330 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Vehicular Technology |
| spelling | doaj-art-1ebfdf5a9cea46eb8a02a79eb533aea42025-01-10T00:03:45ZengIEEEIEEE Open Journal of Vehicular Technology2644-13302025-01-01627628710.1109/OJVT.2024.351995110806869High-Resolution Safety Verification for Evasive Obstacle Avoidance in Autonomous VehiclesAliasghar Arab0https://orcid.org/0000-0002-7480-5229Milad Khaleghi1https://orcid.org/0000-0002-8823-6717Alireza Partovi2Alireza Abbaspour3https://orcid.org/0000-0003-0703-4505Chaitanya Shinde4https://orcid.org/0009-0003-8176-524XYashar Mousavi5https://orcid.org/0000-0002-6718-3599Vahid Azimi6Ali Karimmoddini7https://orcid.org/0000-0001-6084-6831Department of Mechanical and Aerospace Engineering, New York University, New York, NY, USADepartment of Electrical Engineering, North Carolina A&T State University, Greensboro, NC, USADepartment of Electrical and Electronic Engineering, University of Notre Dame, Notre Dame, IN, USAQualcomm, San Diego, CA, USATorc Robotics, Blacksburg, VA, USADepartment of Applied Science, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow, U.K.Gatik AI, Mountain View, CA, USADepartment of Electrical Engineering, North Carolina A&T State University, Greensboro, NC, USAThis 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 designed to improve collision avoidance and mitigate loss severity by drawing inspiration from professional drivers who perform aggressive maneuvers while maintaining stability for effective risk mitigation. Recent advances 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 the validation of the testing. 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 that focuses on the impact of mitigation maneuvers on loss severity. In addition, 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.https://ieeexplore.ieee.org/document/10806869/Safety VerificationEvasive ManeuversCollision AvoidanceMinimum Risk ManeuverAutonomous Vehicles |
| spellingShingle | Aliasghar Arab Milad Khaleghi Alireza Partovi Alireza Abbaspour Chaitanya Shinde Yashar Mousavi Vahid Azimi Ali Karimmoddini High-Resolution Safety Verification for Evasive Obstacle Avoidance in Autonomous Vehicles IEEE Open Journal of Vehicular Technology Safety Verification Evasive Maneuvers Collision Avoidance Minimum Risk Maneuver Autonomous Vehicles |
| title | High-Resolution Safety Verification for Evasive Obstacle Avoidance in Autonomous Vehicles |
| title_full | High-Resolution Safety Verification for Evasive Obstacle Avoidance in Autonomous Vehicles |
| title_fullStr | High-Resolution Safety Verification for Evasive Obstacle Avoidance in Autonomous Vehicles |
| title_full_unstemmed | High-Resolution Safety Verification for Evasive Obstacle Avoidance in Autonomous Vehicles |
| title_short | High-Resolution Safety Verification for Evasive Obstacle Avoidance in Autonomous Vehicles |
| title_sort | high resolution safety verification for evasive obstacle avoidance in autonomous vehicles |
| topic | Safety Verification Evasive Maneuvers Collision Avoidance Minimum Risk Maneuver Autonomous Vehicles |
| url | https://ieeexplore.ieee.org/document/10806869/ |
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