基于虚拟环境的汽车驾驶安全预警方法

Study on Driving Safety Warning in Virtual Environment

道路交通伤害已给人类带来日益沉重的负担,但却没有受到应有的重视。而汽车驾驶安全预警系统可减免道路交通伤害。在对驾驶行为进行FCM聚类分析的基础上,利用最大隶属度原则对驾驶员的驾驶行为进行模糊识别,根据模糊识别的结果,当汽车存在危险时,向驾驶员同时发出灯光、声音和文字三种警报。利用EonSDK5.0开发了一个查找危险的信息处理节点,并在EonStudio5.0和VisualC++6.0中实现了系统的仿真。

Road traffic harm has brought heavy burden to the human day by day, but has not been respected equality. The Driving Safety Warning Systems could reduce road traffic harm. Based on driving behavior analysing with Fuzzy C Mean cluster, driving behavior was recognized using maximum membership degree principle. According to the result of fuzzy recognized,DSWS send light,sound and text warning when vehicle is dangerous. A new node, which is used to search dangerous information, was developed by Eon SDK 5.0. Finally, the motion simulation was carried out under Eon Studio 5.0 and Visual C++ 6.0.