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UAV 3D Mobility Model Oriented to Dynamic and Uncertain Environment

机译:面向动态不确定环境的无人机3D移动模型

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Currently, unmanned aerial vehicle (UAV) swarm has been widely used for emergency rescue in disaster areas. In dynamic and uncertain environments, the uneven distribution of events and obstacles seriously affect the efficiency of UAVs' missions and the safety of airborne operations. The traditional UAV mobility models pay more attention to the UAVs own moving rules, so as to make the UAV flight pattern meet real conditions as much as possible, while ignoring the requirements of UAVs' mission and uncertainties of environment. Based on the 3D Visit-Density Gauss-Semi-Markov Mobility (3D-VDGMM) model, this paper proposes a 3D Mobility Model oriented to Dynamic and Uncertain environment (3D-DUMM). The 3D-DUMM has made improvements to emergency rescue missions while fully considering the dynamic distributed, dense and irregular obstacles in the rescue area. Simulation experiments show that 3D-DUMM can well captured uncertain events and can safely deal with dynamic and complex rescue environments.
机译:当前,无人机群已被广泛用于灾区的紧急救援。在动态和不确定的环境中,事件和障碍物的不均匀分布会严重影响无人机的执行效率和机载操作的安全性。传统的无人机机动模型更加关注无人机自身的运动规律,使无人机的飞行方式尽可能满足实际情况,而忽略了无人机任务的要求和环境的不确定性。基于3D访问密度高斯-半马尔可夫移动性(3D-VDGMM)模型,提出了一种面向动态和不确定环境的3D移动性模型(3D-DUMM)。 3D-DUMM对紧急救援任务进行了改进,同时充分考虑了救援区内动态分布,密集和不规则的障碍物。仿真实验表明,3D-DUMM可以很好地捕获不确定事件,并且可以安全地应对动态复杂的救援环境。

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