Region-based approximation of probability distributions (for visibility between imprecise points among obstacles)

Publication date

2019

Authors

Buchin, Kevin
Kostitsyna, I.ISNI 0000000524014893
Löffler, M.ISNI 000000039666142X
Silveira, Rodrigo I.

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Advisors

Supervisors

Document Type

Article
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Abstract

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 ε in O(1/ε3+m2/ε2) time.

Keywords

Visibility in polygonal domains, Probability distribution, Gaussian distribution

Citation

Buchin, K, Kostitsyna, I, Löffler, M & Silveira, R I 2019, 'Region-based approximation of probability distributions (for visibility between imprecise points among obstacles)', Algorithmica, vol. 81, pp. 2682–2715. https://doi.org/10.1007/s00453-019-00551-2