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
Kazuya Tanaka (Kumamoto University) Shunpei Fukumoto (Kumamoto University) Nobutomo Matsunaga (Kumamoto University) Hiroshi Okajima (Kumamoto University)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2019
발행연도
2019.10
수록면
1,222 - 1,227 (6page)

이용수

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

초록· 키워드

오류제보하기
Recently, welfare vehicles are widely used among the aged. However, it is hard for inexperienced beginners to control the welfare vehicle in narrow places such as rooms and corridors. For the problem, the driving assist system for the welfare vehicle which is steered from an objective viewpoint with a transmittable Head Mounted Display (HMD) has been proposed in complex driving areas. Also, the autonomous driving system which can be used in safe areas for the driver has been studied. The advanced function which switches the driving assistance and the autonomous driving is needed because the welfare vehicles drive in the complex driving situations. In this paper, an autonomous driving system is proposed using the wearable MR-device which has collision avoidance function using the spatial mapping. As the system uses the virtual vehicle to avoid the obstacle, this system will be easy to switch the driving assistance and the autonomous driving. The obstacles are modeled by the spatial mapping installed in wearable HMD. Using the virtual vehicle drawn by the hologram, the autonomous system is steered using A* and NavMesh system on Unity. So, the welfare vehicle follows the virtual vehicle with the virtual platoon control constructed on the welfare vehicle. The effectiveness of proposed real-time obstacle avoidance system is evaluated by driving experiments.

목차

Abstract
1. INTRODUCTION
2. ENVIRONMENT MAPPING FOR AUTONOMOUS CONTROL
3. VIRTUAL PLATOON CONTROL SYSTEM FOR STAVI
4. DRIVING EXPERIMENT ON NARROW CORRIDOR
5. CONCLUSION
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