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Statistical methods and weather based decision making in meteorological support for unmanned aerial vehicles (UAVs)

机译:无人机气象支持中的统计方法和基于天气的决策

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Two different methods had been developed to support special UAV applications reducing the weather risk during flights. In our study we explain the analogue method based on climate statistics was applied for the estimation of occurrence of different weather phenomena. As we show the analog weather situations can play an important role in the weather prediction for the UAVs, too. With the help of a case study we demonstrate the usefulness of this method in the visibility prediction. On the other hand in order to determine the optimal UAV flight path an optimal graph theoretical approach had been applied. Described procedures are also illustrated with examples in our present work.
机译:已经开发出两种不同的方法来支持特殊的无人机应用,以减少飞行中的天气风险。在我们的研究中,我们解释了基于气候统计的模拟方法被用于估计不同天气现象的发生。正如我们所展示的,模拟天气情况也可以在无人机的天气预报中发挥重要作用。借助案例研究,我们证明了该方法在可见性预测中的有用性。另一方面,为了确定最佳的无人机飞行路径,采用了最佳的图论方法。在我们当前的工作中,还将举例说明所描述的过程。

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