T\v{r}iVis: Versatile, Reliable, and High-Performance Tool for Computing Visibility in Polygonal Environments
Abstract
Visibility is a fundamental concept in computational geometry, with numerous applications in surveillance, robotics, and games. This software paper presents T\v{r}iVis, a C++ library developed by the authors for computing numerous visibility-related queries in highly complex polygonal environments. Adapting the triangular expansion algorithm, T\v{r}iVis 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, T\v{r}iVis has been benchmarked against existing visibility libraries. The results demonstrate that T\v{r}iVis outperforms the competing solutions by at least an order of magnitude in query times, while exhibiting more reliable runtime behavior. T\v{r}iVis is freely available for private, research, and institutional use at https://github.com/janmikulacz/trivis.
Cite
@article{arxiv.2410.08752,
title = {T\v{r}iVis: Versatile, Reliable, and High-Performance Tool for Computing Visibility in Polygonal Environments},
author = {Jan Mikula and Miroslav Kulich and Libor Přeučil},
journal= {arXiv preprint arXiv:2410.08752},
year = {2025}
}
Comments
8 pages, 12 figures (including subfigures); accepted to appear at the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); associated repository: https://github.com/janmikulacz/trivis