TřiVis: Versatile, Reliable, and High-Performance Tool for Computing Visibility in Polygonal Environments

Fuente: arXiv
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Main Authors: Mikula, Jan, Kulich, Miroslav, Přeučil, Libor
Format: Preprint
Published: 2024
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author Mikula, Jan
Kulich, Miroslav
Přeučil, Libor
author_facet Mikula, Jan
Kulich, Miroslav
Přeučil, Libor
contents Visibility is a fundamental concept in computational geometry, with numerous applications in surveillance, robotics, and games. This software paper presents TřiVis, a C++ library developed by the authors for computing numerous visibility-related queries in highly complex polygonal environments. Adapting the triangular expansion algorithm, TřiVis stands out as a versatile, high-performance, more reliable and easy-to-use alternative to current solutions that is also free of heavy dependencies. Through evaluation on a challenging dataset, TřiVis has been benchmarked against existing visibility libraries. The results demonstrate that TřiVis outperforms the competing solutions by at least an order of magnitude in query times, while exhibiting more reliable runtime behavior. TřiVis is freely available for private, research, and institutional use at https://github.com/janmikulacz/trivis.
format Preprint
id arxiv_https___arxiv_org_abs_2410_08752
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle TřiVis: Versatile, Reliable, and High-Performance Tool for Computing Visibility in Polygonal Environments
Mikula, Jan
Kulich, Miroslav
Přeučil, Libor
Robotics
Computational Geometry
Visibility is a fundamental concept in computational geometry, with numerous applications in surveillance, robotics, and games. This software paper presents TřiVis, a C++ library developed by the authors for computing numerous visibility-related queries in highly complex polygonal environments. Adapting the triangular expansion algorithm, TřiVis stands out as a versatile, high-performance, more reliable and easy-to-use alternative to current solutions that is also free of heavy dependencies. Through evaluation on a challenging dataset, TřiVis has been benchmarked against existing visibility libraries. The results demonstrate that TřiVis outperforms the competing solutions by at least an order of magnitude in query times, while exhibiting more reliable runtime behavior. TřiVis is freely available for private, research, and institutional use at https://github.com/janmikulacz/trivis.
title TřiVis: Versatile, Reliable, and High-Performance Tool for Computing Visibility in Polygonal Environments
topic Robotics
Computational Geometry
url https://arxiv.org/abs/2410.08752