摘要
汽车防盗系统本身具有复杂性和多变性等特点,一般的汽车防盗装置大多只使用单一的传感器,单个传感器不能为防盗的决策控制提供准确的依据。选择多种传感器建立的汽车防盗系统,运用多传感器融合技术,采用模糊神经网络技术进行信息融合,对汽车被盗信息进行多方面地监测,从而获得较为可靠的信息,为准确地判断汽车的状态提供依据,具有较强的决策控制能力,达到了准确预警的目的。
The theft-protectionsystem of automobiles itself possesses the charaoteristion of complesity and variability,Geacrally, only one sensor is used in theft-protection system of automobiles.This can not provide enough information for decision-making of theft protection. Various sensors are chosen to establish the theft-protection system of automobiles and multi-sensor fusion technology is employed and fuzzy neural-network technology is used to fuse information.Therefore, the information on theft can be multi- dimensionally monitored and reliable information can be obtained so as to provide sccurase information for the judgment of automobile conditions. The system strong controlling capability to make decisions and the aim of accurate early warning is reached.
出处
《中国测试技术》
2006年第2期15-17,65,共4页
CHINA MEASUREMENT & TESTING TECHNOLOGY
关键词
多传感器
信息融合
模糊神经网络
防盗系统
Multi-sensor
Information fusion
Fuzzy neural network
Theft-protection system
