A robust and optimal search tactic using multiple looks

B. Nguyen, François-Alex Bourque
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引用次数: 2

Abstract

We provide an optimal strategy for an autonomous vehicle to detect a target in a mine hunting operation or in a search & rescue mission. We assume that the target exhibits mirror symmetry. By mirror symmetry, we mean that the left hand side of a target is the mirror image of the right hand side of the same target, and the probability of detection is maximal when a target is viewed at zero degree while that probability is minimal when viewed at ninety degrees and is monotonous between the maximum and the minimum. The optimal strategy consists of choosing n look angles to inspect a target such that the probability of detection is maximal. We use a novel combination of variational calculus, symmetry principles, number theory and algebra to determine analytically the optimal angles. The solutions will help the operators plan for an effective strategy in a generic search and detection operation. Such a strategy is robust as most targets of interest possess approximate mirror symmetry.
一个鲁棒和最优的搜索策略,使用多个外观
我们为自动驾驶车辆在猎雷行动或搜救任务中探测目标提供了最佳策略。我们假设目标呈现镜像对称。所谓镜像对称,是指目标的左侧是同一目标右侧的镜像,当目标在0度处观察时,检测概率最大,而在90度处观察时,检测概率最小,且最大值与最小值之间是单调的。最优策略包括选择n个角度来检查目标,使检测到的概率最大。我们使用变分微积分、对称原理、数论和代数的新组合来解析确定最佳角度。这些解决方案将帮助作业者制定通用搜索和探测作业的有效策略。这种策略是稳健的,因为大多数感兴趣的目标具有近似镜像对称性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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