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
Insup Kim (Samsung Electronics) Ganggyu Lee (Samsung Electronics) Seyoung Lee (Korea University) Wonsuk Choi (Hansung University)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2022
발행연도
2022.11
수록면
45 - 49 (5page)

이용수

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

초록· 키워드

오류제보하기
Autonomous Vehicle Systems (AVS) requires large set of data to not only deliver its functionality but also guarantee safety and reliability of AVS. The main functions of AVS are perception, planning and control, and big data-based machine learning algorithm is often used to perceive surrounding automatically. Like eyes and ears of human to perceive our environment, sensors such as camera, lidar and radar play a critical role for AVS. Therefore, it is also essential to process its data real-time within cache memory in computing system. While developing AVS it is required to save as much data as possible to improve AVS and to prove its reliability for its homologation as defined in UN R157. After it is in production data storage system for automated driving (DSSAD) and event data recorder (EDR) are mandated to identify responsibility of accident and to recover accident respectively. In this paper, data storage requirement of AVS is investigated by reviewing regulations and standards of AVS and its capacity requirement is estimated based on sensor data size and its requirement defined in UN R157 and UN R160 to deliver safe and reliable AVS.

목차

Abstract
1. INTRODUCTION
2. EDR AND DSSAD REQUIREMENTS
3. DATA STORAGE CAPACITY OF AUTONOMOUS VEHICLES
4. DATA STORAGE BEYOND AUTONOMOUS VEHICLE
5. CONCLUSIONS
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