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Study on path planning strategies for search and rescue

机译:搜救路径规划策略研究

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Two trajectory planning strategies are proposed provided that the probability distribution map of the missing object is available. Monte Carlo simulations are carried out to compare the performance of the two trajectory planning modes. The simulation results indicate that the searching time would be much shorter if the Search and Rescue Unit (SRU) starts from the most probable point of the object location and navigate under a spiral trajectory by gradually increasing its searching radius. The results also indicate that when using this searching pattern, the detection probability is in most cases lower than the simple rectangular and parallel searching strategy that starts from the boundary of searching area. The width between two adjacent parallel trajectories can be treated as a good indicator for the trade-off between timeliness and detection probability in real applications. The results can be treated as a good reference for SAR missions in real scenarios.
机译:提出了两个轨迹规划策略,条件是缺失对象的概率分布图可用。蒙特卡罗模拟进行了进行比较两种轨迹规划模式的性能。仿真结果表明,如果搜索和救援单位(SRU)从物体位置的最可能点开始,搜索时间会更短,并且通过逐渐增加其搜索半径来在螺旋轨道下导航。结果还表明,当使用该搜索模式时,检测概率在大多数情况下低于从搜索区域的边界开始的简单矩形和并行搜索策略。两个相邻平行轨迹之间的宽度可以被视为实际应用中的时间性和检测概率之间的折衷的良好指标。结果可以将结果视为真实情景中SAR任务的良好参考。

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