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Intelligent management of multiple sensors for enhanced situational awareness

机译:多传感器的智能管理,提高情境意识

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Wide area motion imagery (WAMI) offers the promise of persistent surveillance over large regions. However, the combination of lower frame rate and coarser spatial resolution found in most WAMI systems can limit the ability to track multiple targets. One way to address this limitation is to employ the wide-area sensor in concert with one or more high resolution sensors. We have developed a capability called Sensor Management for Adaptive Reconnaissance and Tracking (SMART), for tasking an arbitrary number of high-fidelity assets, working with the WAMI sensor to maximize situational awareness based on a prevailing set of conditions and target priorities. We present a simulation framework for exploring performance of various sensor management strategies and present the findings from an initial set of experiments.
机译:广域行动图像(WAMI)提供了大地区持久监控的承诺。然而,在大多数WAMI系统中发现的较低帧速率和较粗糙空间分辨率的组合可以限制跟踪多个目标的能力。解决这种限制的一种方法是与一个或多个高分辨率传感器一起使用广域传感器。我们开发了一种称为传感器管理的能力,可用于适应性侦察和跟踪(智能),用于任意数量的高保真资产,与瓦米传感器一起使用,以最大化基于普遍的条件和目标优先级的情境意识。我们提出了一种探索各种传感器管理策略性能的仿真框架,并从初始实验中展示了发现。

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