License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ISAAC.2019.11
URN: urn:nbn:de:0030-drops-115075
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/11507/
Inkulu, R. ;
Kapoor, Sanjiv
Approximate Euclidean Shortest Paths in Polygonal Domains
Abstract
Given a set P of h pairwise disjoint simple polygonal obstacles in R^2 defined with n vertices, we compute a sketch Omega of P whose size is independent of n, depending only on h and the input parameter epsilon. We utilize Omega to compute a (1+epsilon)-approximate geodesic shortest path between the two given points in O(n + h((lg n) + (lg h)^(1+delta) + (1/epsilon) lg(h/epsilon)))) time. Here, epsilon is a user parameter, and delta is a small positive constant (resulting from the time for triangulating the free space of P using the algorithm in [Bar-Yehuda and Chazelle, 1994]). Moreover, we devise a (2+epsilon)-approximation algorithm to answer two-point Euclidean distance queries for the case of convex polygonal obstacles.
BibTeX - Entry
@InProceedings{inkulu_et_al:LIPIcs:2019:11507,
author = {R. Inkulu and Sanjiv Kapoor},
title = {{Approximate Euclidean Shortest Paths in Polygonal Domains}},
booktitle = {30th International Symposium on Algorithms and Computation (ISAAC 2019)},
pages = {11:1--11:17},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-130-6},
ISSN = {1868-8969},
year = {2019},
volume = {149},
editor = {Pinyan Lu and Guochuan Zhang},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2019/11507},
URN = {urn:nbn:de:0030-drops-115075},
doi = {10.4230/LIPIcs.ISAAC.2019.11},
annote = {Keywords: Computational Geometry, Geometric Shortest Paths, Approximation Algorithms}
}
Keywords: |
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Computational Geometry, Geometric Shortest Paths, Approximation Algorithms |
Collection: |
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30th International Symposium on Algorithms and Computation (ISAAC 2019) |
Issue Date: |
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2019 |
Date of publication: |
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28.11.2019 |