基于模糊积分的ETC干扰问题解决方法  

Solution method of ETC interference problem based on fuzzy integral

作　　者：丁浩 闫伟[1] 吕坤 杨会[1] Ding Hao;Yan Wei;Lv Kun;Yang Hui(Suqian College School of Information Engineering,Jiangsu Suqian 223800)

机构地区：[1]宿迁学院信息工程学院,江苏宿迁223800

出　　处：《汽车实用技术》2020年第18期53-54,77,共3页Automobile Applied Technology

基　　金：2017年宿迁市科技计划项目资助(编号S201712);2019年宿迁市科技计划项目资助(编号Z2019115)。

摘　　要：有效结合车辆电子标签信息和车辆图像,提出一种基于模糊积分的ETC车辆身份验证方法,从而解决ETC系统中的干扰问题。该方法以系统获得的车辆信息为已知信息,用车辆图像信息作为特征进行验证,再通过模糊积分融合验证结果,判断车辆身份的合法性。同时对模糊密度的赋值方法进行了改进。实验结果表明该算法具有简单、鲁棒性强的特点,利用模糊积分算法可以切实有效地解决ETC系统中的干扰问题。Combining vehicle electronic label information and vehicle images effectively,an ETC vehicle identity verification method based on fuzzy integration is proposed to solve the interference problem in the ETC system.In this method,the vehicle information obtained by the system is known information,and the vehicle image information is used as a feature for verification,and then the result of fuzzy integration fusion verification is used to judge the legality of the vehicle identity.At the same time,the fuzzy density assignment method was improved.Experimental results show that the algorithm is simple and robust,and the fuzzy integration algorithm can effectively solve the interference problem in the ETC system.

关 键 词：ETC 车牌验证 模糊积分 跟车干扰 邻道干扰 

分 类 号：U462.1[机械工程—车辆工程]