基于可见性的追捕逃避的捕获边界

Kyle Klein, S. Suri
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引用次数: 25

摘要

本文研究了平面上基于可见性的离散时间追逐逃避模型中的以下问题:在具有障碍物的多边形环境中,在追逐者和逃避者具有相同最大速度的极简假设下,需要多少追逐者才能捕获一个逃避者?当环境是一个n个顶点的单连通(无孔)多边形时,我们证明了Θ(√n)跟踪器在最坏情况下既是必要的也是充分的。当环境是一个有洞的多边形时,我们证明了最坏情况下需要的追踪者数量的下界为Ω (n2/3),上界为O(n2/ 6),其中n为包含洞边界的顶点总数。更准确地说,如果多边形包含h个孔,则当h≤n2/3时,上界为O(n1/2 h /4),否则为O(n1/3 h /2)。这些界限表明,与能见度检测相比,最小假设下的捕获需要更多的追捕者(如果其中一人可以看到逃避者,追捕者就会获胜)[guet al. 1999],或者当玩家的移动速度与环境的“特征”相比较小时捕获[Klein and Suri, 2012]。
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Capture bounds for visibility-based pursuit evasion
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 Θ (√n) pursuers are both necessary and sufficient in the worst-case. When the environment is a polygon with holes, we prove a lower bound of Ω (n2/3) and an upper bound of O(n5/6) 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(n1/2 h1/4), for h ≤ n2/3, and O(n1/3 h1/2) otherwise. These bounds show that capture with minimal assumptions requires significantly more pursuers than what is possible either for visibility detection where pursuers win if one of them can see the evader [Guibas et al. 1999], or for capture when players' movement speed is small compared to "features" of the environment [Klein and Suri, 2012].
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