인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
학술저널
DBpia Top 5%
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초록·키워드
A higher level of autonomous driving is required amid advancing autonomous driving technology. Accordingly, there are concerns about the safety of autonomous vehicles under complex driving environments. Autonomous driving system verification technology through simulation has been attracting attention because verification measures by using actual vehicles are time-consuming and expensive. However, since there are different scenario formats required by various simulation tools, it becomes difficult to achieve productive collaboration with various organizations. Therefore, the ASAM(Association for Standardization of Automation and Measuring Systems) developed OpenX, a scenario production standard. However, it is still not applied to some simulators. To solve this problem, this paper introduces a program that converts a standard scenario into a format that can be applied to simulated conditions. The program was created by reflecting a detailed comparative analysis of the scenario format required by OpenSCENARIO and the simulation tool. Thus, the match rate between the converted scenario format and OpenSCENARIO, the format before conversion, was calculated, proving the appropriateness of the program. By using a standardized framework, collaboration between multiple organizations participating in the development and the verification of autonomous driving technology can be efficiently improved. Likewise, the time and cost of sharing scenario files can be reduced, enabling autonomous vehicles to contribute to commercialization.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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