摘要
探讨汽车仪表系统中适用的数据融合技术。运用算术平均值算法与分批估计相结合的融合算法,提高单传感器数据的测量精度;提出的汽车仪表系统中基于最大隶属度的多传感器数据融合方法,则提供了安全决策辅助,增加了仪表系统的新功能。测量实例证明了这些方法在汽车仪表系统中应用的有效性和准确性。
The data fusion techniques suitable for automobile meter systems are discussed in this paper.The data fusion algorithm that the arithmetic mean algorithm combines with the batch estimate is utilized to enhance single sensor data measurement precision,and the multi-sensor data fusion method based on the maximum membership grade principle is proposed,which provides safety decision assistant,namely adds a new function to automobile meter systems.The measurement examples show the availability and the veracity of these methods used in automobile meter systems.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第19期238-240,共3页
Computer Engineering and Applications
基金
广西科学研究与技术开发计划项目(No.桂科攻0235081)
关键词
数据融合
汽车仪表系统
算术平均值算法
分批估计
最大隶属度原则
data fusion
automobile meter system
arithmetic mean algorithm
batch estimate
the maximum membership grade principle
