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Capture bounds for visibility-based pursuit evasion

机译:捕获边界以进行基于可见性的逃避

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We investigate the following problem in the visibility-based discrete-time model of pursuit evasion in the plane: how many pursuers are needed to capture an evader in a polygonal environment with obstacles under the minimalist assumption that pursuers and the evader have the same maximum speed? When the environment is a simply-connected (hole-free) polygon of n vertices, we show that Theta(n(1/2)) pursuers are both necessary and sufficient in the worst-case. When the environment is a polygon with holes, we prove a lower bound of Omega(n(2/3)) and an upper bound of O (n(5/6)) for the number of pursuers that are needed in the worst-case, where n is the total number of vertices including the hole boundaries. More precisely, if the polygon contains h holes, our upper bound is O (n(1/2)h(1/4)) for h <= n(2/3), and O (n(1/3)h(1/2)) otherwise. We then show that with additional assumptions these bounds can be drastically improved. Namely, if the players' movement speed is small compared to the "feature size" of the environment, we give a deterministic algorithm with a worst-case upper bound of O (logn) pursuers for simply-connected n-gons and O (root h + logn) for multiply-connected polygons with h holes. Further, if the pursuers are allowed to randomize their strategy, regardless of the players' movement speed, we show that O (1) pursuers can capture the evader in a simply connected n-gon and O (root h) when there are h holes with high probability. (C) 2014 Elsevier B.V. All rights reserved.
机译:我们在基于可见性的飞机追击逃逸的离散时间模型中研究以下问题:在极小的假设下,追赶者和逃避者具有相同的最大速度,需要多少个追赶者才能在具有障碍物的多边形环境中捕获逃避者?当环境是n个顶点的简单连接(无孔)多边形时,我们证明Theta(n(1/2))追踪器在最坏的情况下既必要又足够。当环境是一个带孔的多边形时,对于最坏的情况,我们需要证明Omega(n(2/3))的下限和O(n(5/6))的上限,情况,其中n是包括孔边界的顶点总数。更准确地说,如果多边形包含h个孔,则对于h <= n(2/3),我们的上限是O(n(1/2)h(1/4)),而O(n(1/3)h (1/2)),否则。然后,我们表明,使用其他假设,可以大大改善这些界限。也就是说,如果玩家的移动速度与环境的“特征尺寸”相比较小,我们将为确定性算法提供简单连接的n边形和O(根)的O(logn)追踪者最坏情况的上限h + logn)用于带有h孔的多重连接的多边形。此外,如果允许追随者随机分配其策略,而不论玩家的移动速度如何,我们证明O(1)追随者可以在存在h个孔的情况下,将逃避者捕获在简单连接的n边形和O(根h)中可能性很高。 (C)2014 Elsevier B.V.保留所有权利。

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