T\v{r}iVis: Versatile, Reliable, and High-Performance Tool for Computing Visibility in Polygonal Environments
Mikula, Jan, Kulich, Miroslav, Přeučil, Libor
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Oct-25-2024
- Country:
- Europe (0.46)
- Genre:
- Research Report > New Finding (0.34)
- Technology:
- Information Technology > Artificial Intelligence > Robots (1.00)