Vehicle trajectory prediction for adaptive cruise control

  • Yi, Sung Gu
  • Kang, Chang Mook
  • Lee, Seung-Hi
  • Chung, Chung Choo
Citations

SCOPUS

13

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

AlgorithmsCruise controlForecastingIntelligent vehicle highway systemsTrajectoriesVehiclesAcc systemsAdaptive cruise control (ACC)Test vehicleVehicle trajectoriesVehicle trajectory predictionsYaw rateAdaptive cruise control
제목
Vehicle trajectory prediction for adaptive cruise control
저자
Yi, Sung GuKang, Chang MookLee, Seung-HiChung, Chung Choo
DOI
10.1109/IVS.2015.7225663
발행일
2015-08
유형
Conference Paper
저널명
IEEE Intelligent Vehicles Symposium, Proceedings
페이지
59 ~ 64