车辆状态感知中的自适应二次融合  

Adaptive second fusion of vehicle state perception

作　　者：张建军[1] 邱渊[2] 刘征宇[2] 张利[2] 

机构地区：[1]合肥工业大学教育部安全关键工业测控技术工程研究中心,安徽合肥230009 [2]合肥工业大学机械与汽车工程学院,安徽合肥230009

出　　处：《合肥工业大学学报（自然科学版）》2010年第3期337-340,共4页Journal of Hefei University of Technology：Natural Science

基　　金：安徽省科技攻关资助项目(07010202045);广东省教育部产学研结合项目(2009B090300303)

摘　　要：该文针对危险品运输车辆在途状态特点,结合自适应加权与二维回归分析2种融合方法,提出了一种自适应二次融合算法,有效应用于在途性状数据的采集,并通过以气体危险品磷化氢在途性状数据采集的一个实例,进一步验证了该算法的效果,实践表明运用该算法,车辆在途性状获取的准确性和可靠性都得到了显著提高。Based on the trait of dangerous goods transport vehicles in transit, by using two fusion methods, namely adaptive weighting and two-dimensional regression analysis, the paper brings forward an adaptive second fusion algorithm. The algorithm is applied to collect in-transit property data and its validity is further proved by one data collection taking the case of the dangerous gas phosphine. The result shows that the use of this algorithm improves both the accuracy and the reliability of the intransit vehicles significantly.

关 键 词：多传感器信息融合 自适应加权 二维回归分析 可靠性 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]