Multiscale Multisensor Data Fusion and Application in High Precision Marking and Cutting Robot System

The multisensor online measure system for high precision marking and cutting robot system is designed and the data fusion method is introduced,which combines augment state multiscale process with extend Kalman filter.The technology measuring the three-dimensional deforming informatioin of profiled bars is applied.The experimental result shows that applying the multisensor data fusion technology can enhance the measure precisioin and the reliability of measure system.     

基于交叉定位的多传感器多机动目标跟踪

交叉定位的思想可以用来简化数据关联 ,实现状态估计。但在杂波或多目标的环境中 ,定位法会产生大量虚假目标。通过分析传感器数目的选择 ,来限定虚假目标生成的概率。提出了一种基于HMM(HiddenMarkovModel)的全邻似然估计跟踪算法。该算法采用观测 -航迹关联 ,具有相对简单的多项式复杂度。由于传感器量测的融合在状态空间中统一进行 ,该算法可推广到异类传感器组成的系统中。     

多传感器ATR系统中传感器的选配

多传感器数据融合引入 ATR系统首先面临的是传感器的选配问题。从系统中可选传感器的分析出发 ,阐述了传感器选配中应考虑的几个基本因素 ,部分解决了目前传感器选配中的盲目性和随意性问题 ,指出 ,多传感器 ATR系统中传感器选配方法的发展趋势是引入系统工程理论和优化设计方法。     

Composite filtering with feedback information

The optimal fusion solution with feedback information for a hybrid multisensor data fusion system is presented. In this system, a part of sensors process their data locally to produce local tracks, and another part of sensors only provide detection reports These tracks and detection reports are communicated to a central site where track fusion and composite filtering are performed. The comparative results on the simulations suggest the feedback information from the center can greatly improve the tracking performance of the local node.     

多特征统计电视跟踪器

本文描述了一种多特征统计图象分割算法。该方法将多个特征(如灰度、边缘和相关)形成一种多维空间统计,利用多维特征函数所确定的决策面来分割图象。它能解决单一特征统计分割算法难以解决的问题。文中还简要地讨论了自适应分割算法。计算机模拟实验结果表明这种方法图象分割效果良好。