• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.6
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• pp.84-95
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• 2018

A mathematical model of responsibility-sensitive safety (RSS) has been proposed as a way to determine whether an autonomous driving accident has occurred. Autonomous vehicles related industry and academia have shown great interest in this model. However, this mathematical model lacks a comprehensive review on whether the model can be used to clarify responsibilities of autonomous vehicles in the event of a traffic accident. In this study, we analyzed the issues that need to be solved in order to apply the RSS model. In conclusion, there is a limit in the equation and the social acceptability of the RSS model. To use the RSS model practically, it is necessary to define the response time of the autonomous vehicle and to measure and control the reaction time value according to the appropriate technology level for each autonomous vehicle.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.298-298
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• 2022

최최근 자율주행차의 안전한 주행을 보장하기 위한 모델 공식 기반 접근이 제시되고 있으며, 인텔-모빌아이의 RSS(responsibility-sensitive safety) 모델[1, 2]과 엔비디아의 SFF(Safety Force Field) 방법[2]이 주목받고 있다. 자율주행차 시뮬레이터을 이용하여 이러한 안전 주행 모델 적용의 효과와 역효과를 시뮬레이션하는 것은 자율주행 자동차와 제도의 개발에 매우 중요하다. 본 연구에서는 RSS와 SFF 모델을 살펴보고 이를 자율주행에 적용하기 위한 비교 연구 방법을 제안하고자 한다.

• Journal of the Korean Society of Systems Engineering
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• v.17 no.2
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• pp.129-138
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• 2021

Today, as the number of vehicles equipped with autonomous driving functions increases, the use of various sensors increases, and the complexity of system configuration increases. The ISO 26262 standard was published to prevent caused by systematic errors. Recently, the issue of external environmental factors rather than mechanical failure has increased. This issue is a problem outside of the scope of ISO 26262, and the ISO/DIS 21448 standard was published to solve this problem. Also, Mobileye proposed the RSS model that defined safe distance for dangerous situations in order to secure the safety of autonomous vehicles and who is responsible in case of an accident. In this paper, integrated process of ISO 21448 and RSS model, and through these results, we expect that possible to contribute to securing the safety and reliability of autonomous vehicles in the future.