자율주행자동차 평가를 위한 다중 시나리오 변환과 시뮬레이션 기반 평가 방법
Method of Multiple Scenario Transformation and Simulation Based Evaluation for Automated Vehicle Assessment
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초록
자율주행 기술의 발전과 함께 자율주행차(automated vehicle, AV)의 안전성 평가의 중요성이증가하고 있다. 이에 따라 효율적인 안정성 평가를 진행하기 위해 AV가 주행 중 직면할 수있는 상황을 사전에 정의한 평가 시나리오를 활용하고 있다. 그러나 기존에 활용되는 시나리오는 짧은 구간 내에서 한정적인 상황만을 다루고 있다. 따라서, 실제 도로에서 발생하는 연속적인 상황을 평가하지 못한다는 한계가 존재한다. 이에 본 연구에서는 AV의 안전성을 강도높게 평가하기 위해 단일 시나리오를 다양한 기하구조가 존재하는 도로 전체 구간을 대상으로연속적인 평가가 가능한 다중 시나리오로 변환하고자 한다. 특히, 시나리오를 연결하는 조건을정의하고, 변환된 다중 시나리오를 상황, 범위, 실험 시나리오로 발전시키는 구체적인 방법론을 제시하였으며, 시뮬레이션으로 다중 시나리오를 구현하여 검증하였다.
Abstract
The importance of evaluating the safety of Automated Vehicles (AV) is increasing with the advances in autonomous driving technology. Accordingly, an evaluation scenario that defines in advance the situations AV may face while driving is being used to conduct efficient stability evaluation. On the other hand, the single scenarios currently used in conventional evaluations address limited situations within short segments. As a result, there are limitations in evaluating continuous situations that occur on real roads. Therefore, this study developed a set of multiple scenarios that allow for continuous evaluation across entire sections of roads with diverse geometric structures to assess the safety of AV. In particular, the conditions for connecting individual scenarios were defined, and a methodology was proposed for developing concrete multiple scenarios based on the scenario evaluation procedure of the PEGASUS project. Furthermore, a simulation was performed to validate the practicality of these multiple scenarios.
참고문헌 (33)
- Ackermann, C., "Collision avoidance with automatic braking and swerving", IFAC Proceedings Volumes, 47(3), pp.10694~10699 (2014)
- "ASAM"[URL]
- "ASAM"[URL]
- "ASAM"[URL]
- "ASAM"[URL]
- 백윤석, "교차로 시나리오 기반 V2X를 활용한 자율주행차량의 위험성 분석 및 고장안전성 검증 연구", 한국ITS학회 논문지, 20(6), pp.299~312 (2021), 한국ITS학회[DOI]
- Bernardin Jr, V. L., "Scenario modeling of autonomous vehicles with trip-based models", Transportation Research Record, 2673(10), pp.61~270 (2019)
- Calò, A., "Generating Avoidable Collision Scenarios for Testing Autonomous Driving Systems", 2020 IEEE 13th International Conference on Software Testing, Validation and Verification(ICST), pp.375~386 (2020)
- Chen, H., "Generating Autonomous Driving Test Scenarios based on OpenSCENARIO", 2022 9th International Conference on Dependable Systems and Their Applications(DSA), pp.650~658 (2022)
- European Automobile Manufacturers Association, "Road Safety", 1~8 (2019)
- Gambi, A., "Automatically testing self-driving cars with search-based procedural content generation", Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, pp.318~328 (2019)
- Kim, H., "Trends and Prospects of Autonomous Driving Technology Research", The Journal of Korean Institute of Communications and Information Sciences, 35(5), pp.3~12 (2018)
- Kim, I., "Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessment", Sensors, 23(19), pp.1~23 (2023)
- Ko, W., "Development of a framework for generating driving safety assessment scenarios for automated vehicles", Sensors, 22(16), pp.1~22 (2022)
- Kusari, A., "Enhancing SUMO simulator for simulation based testing and validation of autonomous vehicles", 2022 IEEE Intelligent Vehicles Symposium(IV), pp.829~835 (2022)
- 이우섭, "Vision Transformer를 활용한 비전 데이터 기반 자율주행자동차 사고 취약상황 예측 및 시나리오 도출", 한국ITS학회 논문지, 21(5), pp.233~252 (2022), 한국ITS학회[DOI]
- Li, G., "Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios", Transportation Research Part C : Emerging Technologies, 122, pp.1~17 (2021)
- "MORAI"[URL]
- 박현진, "화물차 군집주행 간격에 따른 운전자의 운전수행능력별 심리상태 및 주행안전성 비교 연구", 한국ITS학회 논문지, 20(6), pp.147~161 (2021), 한국ITS학회[DOI]
- Park, S., "Scenario-mining for level 4 automated vehicle safety assessment from real accident situations in urban areas using a natural language process", Sensors, 21(20), pp.1~26 (2021)
- 박상민, "5-레이어 포맷을 이용한 자율주행자동차 실험 시나리오 개발(커뮤니티부 도로를 중심으로)", 한국ITS학회 논문지, 18(2), pp.114~128 (2019), 한국ITS학회[DOI]
- PEGASUS Project, "Scenario Description and Knowledge-Based Scenario Generation", 1~3 (2019)
- Riedmaier, S., "Survey on Scenario-Based Safety Assessment of Automated Vehicles", IEEE Access, 8, pp.87456~87477 (2020)
- Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles, "SAE International", 1~41 (2018)
- "SAKURA Project"[URL]
- "SET Level"[URL]
- Song, Q., "Critical scenario identification for realistic testing of autonomous driving systems", Software Quality Journal, 31(2), pp.441~469 (2023)
- Tamke, A., "A flexible method for criticality assessment in driver assistance systems", 2011 IEEE Intelligent Vehicles Symposium(IV), pp.697~702 (2011)
- Thal, S., "Towards Realistic, Safety-Critical and Complete Test Case Catalogs for Safe Automated Driving in Urban Scenarios", 2023 IEEE Intelligent Vehicles Symposium(IV), pp.1~8 (2023)
- UNECE, "New Assessment", Test Method for Automated Driving (NATM) Master Document (Final Draft), 2021, pp.1~5
- Wang, W., "An Evaluation Method for Automated Vehicles Combining Subjective and Objective Factors", Machines, 11(6), pp.597~ (2023)
- Weber, H., "A framework for definition of logical scenarios for safety assurance of automated driving", Traffic Injury Prevention, pp.S65~S70 (2019)
- Zhao, S., "An objective evaluation method for automated vehicle virtual test", Expert Systems with Applications, 206, pp.1~10 (2022)