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초록
In this paper, we propose a new vehicle trajectory prediction algorithm for adaptive cruise control (ACC). When vehicle trajectory prediction is not precise enough, it is possible for a neighboring vehicle to be detected as a target. Thus, we propose a new method using both yaw rate and curvature rate to precisely predict vehicle trajectory and to resolve an undesirable case in ACC system. The proposed method was validated via CarSim and MATLAB/Simulink. Also, we validated the proposed method via experimental results with a test vehicle on highway system for the practicality.
키워드
Algorithms; Cruise control; Forecasting; Intelligent vehicle highway systems; Trajectories; Vehicles; Acc systems; Adaptive cruise control (ACC); Test vehicle; Vehicle trajectories; Vehicle trajectory predictions; Yaw rate; Adaptive cruise control
- 제목
- Vehicle trajectory prediction for adaptive cruise control
- 저자
- Yi, Sung Gu; Kang, Chang Mook; Lee, Seung-Hi; Chung, Chung Choo
- 발행일
- 2015-08
- 유형
- Conference Paper
- 저널명
- IEEE Intelligent Vehicles Symposium, Proceedings
- 페이지
- 59 ~ 64