인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2020.11
- 수록면
- 732 - 736 (5page)
이용수
초록· 키워드
In this paper, we present a novel lane change system for intelligent vehicles combined with the model curve fitting method to plan a safe-feasible path in high speed. According to the existing literature, the current virtual potential function (VPF) performs well in real-time collision avoidance. However, this method also exists a flaw that it is based on the point mass model to produce the path in which could be non-safe for intelligent vehicles to track. To improve this method to be more practical, we propose a novel model curve fitting (MCF) method to consider the dynamics of the ground vehicles that can plan a safer path for intelligent vehicles to track. We simulated the overall system framework in MATLAB/Simulink with vehicle dynamic lateral motion model. From the simulation results, we confirm that the MCF method combined with VPF is highly effective compared to the traditional VPF method.
#Autonomous Vehicle
#Collision Avoidance
#Virtual Potential Field
#Lane Change
#Optimal Path Planning
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목차
- Abstract
- 1. INTRODUCTION
- 2. VIRTUAL POTENTIAL FUNCTIONS FOR LANE CHANGE
- 3. VEHICLE MOTION MODEL
- 4. MODEL CURVE FITTING
- 5. SIMULATION RESULTS
- 6. CONCLUSION
- References
참고문헌
참고문헌 신청최근 본 자료
