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Region-Based Approximation of Probability Distributions (for Visibility Between Imprecise Points Among Obstacles)

机译:基于区域的概率分布近似值(用于障碍物之间的不精确点之间的可见性)

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摘要

Let p and q be two imprecise points, given as probability density functions on R2, and let O be a set of disjoint polygonal obstacles in R2. We study the problem of approximating the probability that p and q can see each other; i.e., that the segment connecting p and q does not cross any obstacle in O. To solve this problem, we first approximate each density function by a weighted set of polygons. Then we focus on computing the visibility between two points inside two of such polygons, where we can assume that the points are drawn uniformly at random. We show how this problem can be solved exactly in O((n+m)2) time, where n and m are the total complexities of the two polygons and the set of obstacles, respectively. Using this as a subroutine, we show that the probability that p and q can see each other amidst a set of obstacles of total complexity m can be approximated within error epsilon in O(1/epsilon 3+m2/epsilon 2) time.
机译:设p和q为两个不精确点,作为R2上的概率密度函数给出,而O为R2中的一组不相交的多边形障碍。我们研究了逼近p和q可以看到彼此的概率的问题。也就是说,连接p和q的线段不会穿过O中的任何障碍。为解决此问题,我们首先通过加权多边形集来近似每个密度函数。然后,我们专注于计算两个这样的多边形内两个点之间的可见性,在这里我们可以假定这些点是随机均匀绘制的。我们展示了如何在O((n + m)2)时间内精确解决此问题,其中n和m分别是两个多边形的总复杂度和一组障碍。以此为子例程,我们表明p和q在总复杂度m的一组障碍中可以彼此看到的概率可以在O(1 / eps 3 + m2 / eps 2)的误差epsil内近似。

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