Abstract
Pathfinding is a common task across many domains and platforms, whether in games, robotics, or road maps. Given the breadth of domains, there are also a wide variety of representations used for pathfinding, and there are many techniques which have been shown to improve performance. In the last few years, the state-of-the-art in grid-based pathfinding has been significantly improved with domain-specific techniques such as Jump Point Search (JPS), Subgoal Graphs, and Compressed Path Databases. In this paper we look at a specific implementation of the general idea of Geometric Containers, showing that, while it is effective on grid maps, when combined with JPS+ it provides state-of-the-art performance.
Cite
CITATION STYLE
Rabin, S., & Sturtevant, N. R. (2016). Combining bounding boxes and JPS to prune grid pathfinding. In 30th AAAI Conference on Artificial Intelligence, AAAI 2016 (pp. 746–752). AAAI press. https://doi.org/10.1609/aaai.v30i1.10076
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