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
학술저널
저자정보
정상헌 (국민대학교) 윤한나 (국민대학교) 안경재 (국민대학교) 황종락 (국민대학교) 김영득 (현대자동차) 정홍규 (현대자동차) 강연식 (국민대학교) 양지현 (국민대학교)
저널정보
제어로봇시스템학회 제어로봇시스템학회 논문지 제어로봇시스템학회 논문지 제25권 제2호
발행연도
2019.2
수록면
180 - 186 (7page)
DOI
10.5302/J.ICROS.2019.18.0186

이용수

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

초록· 키워드

오류제보하기
Vehicle handling characteristics change based on a variety of car design factors. Usually, the human driver is not considered in the vehicle handling design processes and rather, only vehicle design factors are considered in the design of handling characteristics. On the other hand, a professional driver performs a subjective evaluation of the car in a handling performance evaluation. Therefore, discrepancies are often found between the results of the handling characteristics designed based on the analysis and results felt subjectively by a human driver during actual driving. Therefore, it would be useful to develop a vehicle handling characteristics design method that considers both the vehicle and the human driver. This paper describes a real-car-based experimental platform that records the driver’s biological signs and vehicle movement signs and evaluates the handling performance. For a quantitative evaluation, the driver’s electrocardiogram, body pressure, brain wave, and movement signs and the vehicle movement signs were measured. For a qualitative evaluation, drivers wrote down their subjective feeling about car handling on the evaluation form. Data were obtained from two professional drivers participating in double lane change, step steer, and weave test. Based on the data, correlation analysis was conducted between the quantitative and qualitative indices. The drivers’ physiological signals were ranked by comparing with the vehicle signs based on the index sensitivity obtained in this study.

목차

Abstract
Ⅰ. 서론
Ⅱ. 실차 기반 핸들링 평가 지표 분석 실험 설계
Ⅲ. 결과
Ⅳ. 결론
REFERENCES

참고문헌 (14)

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

UCI(KEPA) : I410-ECN-0101-2019-003-000441898