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

Let p and q be two imprecise points, given as probability density functions on R 2 , and let O be a set of disjoint polygonal obstacles in R 2 . 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 obstacl...

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Veröffentlicht in:Algorithmica Jg. 81; H. 7; S. 2682 - 2715
Hauptverfasser: Buchin, Kevin, Kostitsyna, Irina, Löffler, Maarten, Silveira, Rodrigo I.
Format: Journal Article Verlag
Sprache:Englisch
Veröffentlicht: New York Springer US 01.07.2019
Springer Nature B.V
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ISSN:0178-4617, 1432-0541
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Zusammenfassung:Let p and q be two imprecise points, given as probability density functions on R 2 , and let O be a set of disjoint polygonal obstacles in R 2 . 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 / ε 3 + m 2 / ε 2 ) time.
Bibliographie:ObjectType-Article-1
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ISSN:0178-4617
1432-0541
DOI:10.1007/s00453-019-00551-2