Vehicle trajectory prediction for adaptive cruise control

Sung Gu Yi, C. Kang, Seung-Hi Lee, C. Chung
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引用次数: 10

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.
自适应巡航控制的车辆轨迹预测
本文提出了一种新的自适应巡航控制(ACC)车辆轨迹预测算法。当车辆轨迹预测不够精确时,有可能将相邻车辆检测为目标。因此,我们提出了一种利用横摆角速度和曲率速率来精确预测车辆轨迹的新方法,以解决ACC系统中出现的不良情况。通过CarSim和MATLAB/Simulink对该方法进行了验证。最后,在公路系统上进行了车辆试验,验证了该方法的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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