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Catch Me If You Can: Pursuit and Capture in Polygonal Environments with Obstacles

机译:如果可以,请抓住我:在有障碍物的多边形环境中进行追踪和捕获

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摘要

We resolve a several-years old open question in visibility-based pursuit evasion: how many pursuers are needed to capture an evader in an arbitrary polygonal environment with obstacles? The evader is assumed to be adversarial, moves with the same maximum speed as pursuers, and is "sensed" by a pursuer only when it lies in line-of-sight of that pursuer. The players move in discrete time steps, and the capture occurs when a pursuer reaches the position of the evader on its move. Our main result is that O(√h + log n) pursuers can always win the game with a deterministic search strategy in any polygon with n vertices and h obstacles (holes). In order to achieve this bound, however, we argue that the environment must satisfy a minimum feature size property, which essentially requires the minimum distance between any two vertices to be of the same order as the speed of the players. Without the minimum feature size assumption, we show that Ω(√n/log n) pursuers are needed in the worst-case even for simply-connected (hole-free) polygons of n vertices! This reveals an unexpected subtlety that seems to have been overlooked in previous work claiming that O(log n) pursuers can always win in simply-connected n-gons. Our lower bound also shows that capturing an evader is inherently more difficult than just "seeing" it because O(log n) pursuers are prov-ably sufficient for line-of-sight detection even against an arbitrarily fast evader in simple n-gons.
机译:我们解决了基于可见性的追击逃避问题已有多年历史的未解决问题:在具有障碍物的任意多边形环境中,需要多少个追赶者才能捕获躲避者?逃避者被假定为对抗性的,以与追赶者相同的最大速度移动,并且只有当追赶者处于该追赶者的视线内时,才被追赶者“感知”。玩家以不连续的时间步伐移动,而追随者在追随者到达其躲避者的位置时进行捕获。我们的主要结果是,在具有n个顶点和h个障碍物(洞)的任何多边形中,O(√h+ log n)个追踪者始终可以通过确定性搜索策略赢得比赛。但是,为了达到这个界限,我们认为环境必须满足最小特征尺寸属性,该属性本质上要求任何两个顶点之间的最小距离与玩家的速度处于同一数量级。如果没有最小特征尺寸的假设,我们表明,即使对于n个顶点的简单连接(无孔)多边形,在最坏情况下也需要Ω(√n/ log n)追踪器!这揭示了一个出乎意料的微妙之处,在先前的工作中声称O(log n)追踪者总是可以在简单连接的n角中获胜,这一点似乎被忽略了。我们的下限也表明,捕获逃避者本质上比仅“看到”逃生者更加困难,因为O(log n)追踪者被证明足以进行视线检测,即使是简单n角中任意快速逃避者也是如此。

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