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

논문 기본 정보

자료유형
학술저널
저자정보
이용 (서울시립대학교) 권재현 (서울시립대학교)
저널정보
서울시립대학교 도시과학연구원 도시과학국제저널 도시과학국제저널 제23권 제3호
발행연도
2019.1
수록면
434 - 443 (10page)

이용수

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

초록· 키워드

오류제보하기
Recently, as a result of developments in microelectromechanical systems (MEMS) technology, various studies have been conducted to perform positioning by combining low-cost MEMS-based IMUs and the GNSS. The advantage of MEMS IMU is its low cost; however, its limitation is that the navigation error rapidly increases when disconnected from the GNSS. Therefore, precise positioning is difficult in tunnels or urban environments, where GNSS signals are unreliable. For this reason, additional sensors are needed. In this study, we intend to improve the accuracy of existing GNSS/IMU couplings using internal sensors and a magnetometer (MAG) attached to a vehicle. In this study, a positioning algorithm is developed based on the extended Kalman filter using on-board vehicle sensors and a MAG in addition to GNSS/IMU. A wheel speed sensor (WSS) and yaw rate sensor (YRS) were used as the on-board vehicle sensors. Experimental data were acquired and performance was analyzed. The results show that the GNSS/MEMS-IMU/WSS/YRS/MAG combination has the most stable positional accuracy, with a horizontal deviation of about 3.6 m observed in 10 zones of 30-second GNSS signal blockage. The performance was not significantly improved by adding the YRS; however, when the WSS and the MAG were used, the performance was greatly improved in the zones with GNSS signal blockage.

목차

등록된 정보가 없습니다.

참고문헌 (6)

참고문헌 신청

함께 읽어보면 좋을 논문

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

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0