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Complete Coverage Path Planning of UUV for Marine Mine Countermeasure Using Grid Division and Spanning Tree

机译:基于网格划分和生成树的海洋矿井无人水下航行器全覆盖路径规划

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In recent years, with the continuous improvement of the Unmanned Underwater Vehicle (UUV) systems, naval mine detection missions carried out by UUVs have proliferated and made significant progress. During the process of mine detection, the completeness and efficiency of path planning are critical to the effectiveness of the mission. This paper addresses an off-line and on-line path planning algorithm for UUV in a marine area with obstacles based on the rectangular grid division and spanning tree circumnavigation. In this algorithm, area to detect is equally divided into (2*M)*(2*N) rectangular cell and the UUV circumnavigates the spanning tree of the graph induced from the 2*2 mega cell division while visiting every 1*1 grid with minor backtracking. Simulation results show that the path generated by the algorithm is complete and efficient.
机译:近年来,随着无人水下航行器系统的不断改进,由无人水下航行器执行的海军水雷探测任务激增并取得了重大进展。在探雷过程中,路径规划的完整性和效率对任务的有效性至关重要。本文针对具有障碍物的海洋区域中的UUV,建立了基于矩形网格划分和生成树绕行的离线和在线路径规划算法。在该算法中,要检测的区域均等地划分为(2 * M)*(2 * N)个矩形像元,而UUV在访问每个1 * 1网格的同时绕过2 * 2兆像元划分产生的图的生成树轻微的回溯。仿真结果表明,该算法生成的路径是完整有效的。

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