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UAV coverage path planning algorithm for bridge detection

机译:用于桥梁检测的无人机覆盖路径规划算法

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In order to overcome the limitation of the traditional bridge detection method, under the background of the unmanned aerial vehicle detection bridge, taking into account the signal without GPS, the information acquisition process and the grid method are combined to establish an environmental model, extremely covered the bottom of the bridge. In the path planning, most of the algorithms can only plan the shortest path, and the algorithm is complex, requires a lot of storage space, and it is difficult to carry out the whole area coverage path planning. Now the unit decomposition method and the two-point search strategy are proposed and applied in this context, so the algorithm has the advantages of simple computation and covering intelligence, It has great potential in the coverage path planning. Simulation experiments show that it can achieve the whole area coverage under the conditions of low power consumption.
机译:为了克服传统桥梁检测方法的局限性,在无人飞行器检测桥梁的背景下,考虑到没有GPS的信号,将信息获取过程和网格方法相结合,建立了环境模型。桥的底部。在路径规划中,大多数算法只能规划最短的路径,算法复杂,需要大量的存储空间,难以进行全区域覆盖的路径规划。现在提出了单位分解方法和两点搜索策略,并在此背景下应用,该算法具有计算简单,覆盖智能化的优点,在覆盖路径规划中具有很大的潜力。仿真实验表明,在低功耗条件下,它可以实现整个区域的覆盖。

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