日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:2410.08752

T\v{r}iVis: Versatile, Reliable, and High-Performance Tool for Computing Visibility in Polygonal Environments

T\v{r}iVis: Versatile, Reliable, and High-Performance Tool for Computing Visibility in Polygonal Environments

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著者: Jan Mikula, Miroslav Kulich, Libor Přeučil

分類: cs.RO, cs.CG

原文アブストラクト

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.