Title :
Vehicle trajectory prediction for adaptive cruise control
Author :
Sung Gu Yi ; Chang Mook Kang ; Seung-Hi Lee ; Chung Choo Chung
Author_Institution :
Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea
fDate :
June 28 2015-July 1 2015
Abstract :
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.
Keywords :
adaptive control; control engineering computing; road traffic control; traffic engineering computing; trajectory control; ACC system; CarSim; Matlab; Simulink; adaptive cruise control; curvature rate; highway system; vehicle trajectory prediction algorithm; yaw rate; Acceleration; Mathematical model; Roads; Trajectory; Vehicles;
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2015 IEEE
Conference_Location :
Seoul
DOI :
10.1109/IVS.2015.7225663