Multisensory Data Fusion for Target

Chun Yang, Ching-Fang Lin
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引用次数: 2

Abstract

In surveillance and file control, the estimation of target status (identity, lethality, and intent) is of great interest in addition to target kinematic variables (position, velocity, and acceleration). The target status estimation based on multiple sensor data fusion is investigated in this paper. The use of Bayesian inference and Dempster-Shafer's evidential reasoning approaches is presented with illustrative examples.
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目标多感官数据融合
在监视和文件控制中,除了目标的运动变量(位置、速度和加速度)外,对目标状态(身份、致命性和意图)的估计也是非常重要的。研究了基于多传感器数据融合的目标状态估计问题。贝叶斯推理和邓普斯特-谢弗的证据推理方法的使用给出了说明性的例子。
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