多源信息融合技术在ETC系统中的应用  

The Application of the Technology of Multi-sensor Information Fusion in ETC System

作　　者：何红丽[1] 张元[2] 廉飞宇[2] 吕运朋[1] 

机构地区：[1]郑州大学物理工程学院,郑州450052 [2]河南工业大学,郑州450052

出　　处：《微计算机信息》2007年第32期42-43,19,共3页Control & Automation

基　　金：国家自然科学基金(60673108);河南省杰出人才创新基金(0221000200)

摘　　要：传统的电子不停车收费系统(Electronic Toll Collection,简称ETC),以IC(Integrated Circuit)卡和车型或车牌作为车辆身份判别的依据。由于没有其他的辅助的证据给予证实,加上外界环境的各种影响,使得车辆身份的识别率不高,从而影响收费系统的可靠运转。为此,提出了采用基于D-S(Dempster-Shafer)证据理论的多源信息融合方法对车辆身份进行识别,实验表明该方法对提高车辆身份识别率可行有效。The traditional ETC system recognises vehicle identification according to the IC card and the car types or vehicle plate. Because of no other assistances confirmation information and various influence of the external environment, the rate of recognition vehicle identification was lower, which affect the operation security of ETC system. Multi-source information fusion method based on the D-S evidential theory was proposed to solve the problem, the experimental result of the realization has proved the feasibility and validity of this method.

关 键 词：ETC D—S证据理论 信息融合 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]