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Path Planning for an Unmanned Aerial Vehicle Considering Dynamic Geo-Fence in Urban Environment

机译:考虑城市环境动态地理围栏的无人空中车辆的路径规划

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Recently, Unmanned Aerial Vehicles (UAVs) are widely used for various purposes such as aerial reconnaissance and delivery in urban areas. However, in some urban areas there are geo-fences where aerial vehicles cannot pass through. So, the importance of a path planning including obstacle avoidance has increased. In addition to the actual observable obstacles, it is also necessary to plan the route considering special areas or boundaries such as geo-fence. In this paper, we propose an algorithm to avoid dynamically changing geo-fence. To generate an efficient path which does not pass through the geo-fence, we add a time parameter. This proposed path planning algorithm considers not only obstacles on the map at present. The goal is to create an efficient path that also takes into account the geo-fence information dynamically generated over time, along with the speed of the UAV and the time it takes to pass through a specific location. Simulations are carried out to verify the performance of the proposed path planning algorithm.
机译:最近,无人驾驶航空公司(无人机)广泛用于各种目的,如城市地区的空中侦察和交付。然而,在一些城市地区,有地理围栏在空中车辆不能通过。因此,路径规划包括避免包括障碍物的重要性增加。除了实际可观察​​的障碍之外,考虑到地理围栏等特殊区域或界限,还需要规划路线。在本文中,我们提出了一种算法来避免动态地改变地理围栏。要生成未通过地理围栏的有效路径,请添加时间参数。该拟议的路径规划算法不仅考虑目前地图上的障碍。目标是创建一个有效的路径,也考虑了随着时间的推移动态生成的地理围栏信息,以及通过特定位置的速度以及通过特定位置所需的时间。进行仿真以验证所提出的路径规划算法的性能。

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