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Path planning for information acquisition and evasion using marsupial vehicles

机译:使用有袋交通工具进行信息获取和逃逸的路径规划

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This paper considers a path planning problem with two marsupial vehicles (one carrier vehicle and one passenger vehicle that is deployed by the carrier vehicle) exploring a planar area. This work is motivated by multi-agent intelligence, surveillance, and reconnaissance missions in contested environments. The vehicles are heterogeneous, e.g., the carrier vehicle is faster than the passenger vehicle or the passenger vehicle possesses better sensors than the carrier vehicle. The vehicles are to gather a finite amount of information about an object of interest using their sensors while minimizing the likelihood of their detection by an opponent. Necessary conditions for optimal solutions are given and straight line travel for both vehicles is shown to be optimal. The results are illustrated in several simulation examples.
机译:本文考虑了两个有袋车辆(一个运载工具和一个由运载工具部署的乘用车)探索一个平面区域的路径规划问题。这项工作的动机是在有争议的环境中进行多主体情报,监视和侦察任务。车辆是异构的,例如,运载工具比乘用车快,或者乘用车辆具有比运载器更好的传感器。车辆将使用其传感器收集有关感兴趣对象的有限数量的信息,同时将对手检测到它们的可能性降到最低。给出了最佳解决方案的必要条件,并且两辆车的直线行驶均被证明是最佳的。在几个仿真示例中说明了结果。

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