메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술대회자료
저자정보
박종기 (한국자동차연구원) 신성근 (한국자동차연구원) 예창민 (한국자동차연구원) 우창수 (한국자동차연구원) 이혁기 (한국자동차연구원)
저널정보
한국자동차공학회 한국자동차공학회 추계학술대회 및 전시회 2022년 한국자동차공학회 추계학술대회 및 전시회
발행연도
2022.11
수록면
1,143 - 1,146 (4page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Recently, development and research on the technology of autonomous vehicles have been actively conducted in Korea. Among them, self-driving vehicles based on edge computing that can process a large amount of real-time data at close range have the advantage of being more stable and reliable. Unlike cloud computing, which has a centralized structure, edge computing is a technology that processes at a midpoint between networks without relying on a central server and is processed in real-time from close range. It is evaluated as a more stable autonomous driving function due to reduced network latency and increased reliability by processing vast amounts of sensors and various communication data inside the vehicle and directly from V2X communication terminals. To improve the reliability and safety of these edge data, the risk of failure of these features should also be addressed along with the study of edge infrastructure-based autonomous driving features. Therefore, this paper deals with error injection scenarios for failure safety evaluation of such edge infrastructure. The target is Daegu Technopolis, which deals with error injection scenarios to ensure the safety of failures of autonomous driving functions for three types of edge infrastructure unexpected situation detectors, pedestrian detectors, and signal controllers in empirical areas. First, the edge infrastructure environment and functions of the infrastructure are defined, and the malfunction and risk causes of the edge infrastructure are analyzed using the HAZOP technique, and the failure risk scenario of the edge infrastructure is derived through HARA analysis to perform the edge infrastructure error injection test in the simulation environment. Through this procedure, an error injection scenario for failure safety evaluation of edge infrastructure-based autonomous driving functions was studied. Based on the scenarios derived in the future, the safety evaluation method of edge infrastructure-based autonomous driving functions will be studied through error injection tests in a simulation environment.

목차

Abstract
1. 서론
2. 엣지 인프라 기능 정의 및 오작동 도출
3. HARA
4. 결론
References

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0