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Comparison of Path Planning Algorithms for an Unmanned Aerial Vehicle Deployment Under Threats

机译:威胁下无人机飞行路径规划算法的比较

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摘要

Following the massive interests in unmanned aerial vehicles (UAVs), various optimization algorithms have been proposed for a path planning problem that allow the units to navigate in a region filled with threats such as a radar detection in air defence systems. Among the algorithms, we address Dijkstra’s algorithm and a heuristic algorithm for the path planning of a UAV. The algorithms are compared under various configurations of a region to navigate with respect to the optimality and the computational complexity of the algorithms.
机译:随着无人驾驶飞机(UAV)的广泛关注,针对路径规划问题提出了各种优化算法,这些算法可使部队在充满威胁的区域(如防空系统的雷达检测)中导航。在这些算法中,我们讨论了Dijkstra的算法和用于无人机路径规划的启发式算法。在区域的各种配置下比较算法,以针对算法的最优性和计算复杂性进行导航。

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