一种基于模糊运算的车辆防撞预警系统设计

Abstract

本文提出一种基于模糊运算的智能车辆防撞预警系统。针对动态环境不易侦测的特点建立动态避障规则库，利用鱼群算法刻画和解答智能车辆在动态环境下的避障问题。进而，利用智能车辆和障碍物之间的距离和操作者的反应时间建立模糊函数模型。操作者如果没有在预警条件下及时做出反应，该系统将会采用最优路线。实验结果证明，该系统可以根据环境条件做出相对合理的选择，准确地做出预警或者主动避障。 This article puts forward a kind of intelligent vehicle collision warning system based on fuzzy logic. Firstly, according to the characteristics of dynamic environment, which are not easy to detect, the dynamic obstacle avoidance rule base is established. The problem of obstacle avoidance of intelligent vehicle in dynamic environment is described and answered by using Fish Swarm Algorithm. Secondly, the fuzzy function model is established on basis of two factors: the distance between the intelligent vehicle and the obstacle and the time of the driver’s reflection. If the driver does not respond to warning timely, the system will adopt the best optimal route to stop the vehicle. The experimental result shows that the system can make a reasonable choice in accord with changes of the environment in making a warning or triggering an active obstacle avoidance.