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
- 2013.10
- 수록면
- 446 - 449 (4page)
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초록· 키워드
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This paper focuses on the development of an algorithm that uses nonlinear model predictive control (NMPC) to predict the paths of a driver’s vehicle and the preceding vehicle for collision avoidance. In predicting the path of the preceding vehicle, it is assumed that the intention of its driver can be detected by monitoring its state or lane change signal. An open-loop dynamics equation is used to predict the vehicle’s path using NMPC, and the trajectory is obtained by solving the optimal path problem for converging to the desired lane. A driver’s vehicle and the preceding vehicle are simulated in a risky lane change scenario, and the performance of the algorithm is analyzed. In addition, we confirm the feasibility of an algorithm for an active safety system that predicts the possible paths for collision avoidance for future intelligent vehicles.
목차
Abstract
1. INTRODUCTION
2. NMPC-BASED PATH PREDICTION METHOD
3. SIMULATIONS AND RESULTS
4. CONCLUSION
REFERENCES
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