A Review of Pathfinding in Game Development

Sara Lutami Pardede, Fadel Ramli Athallah, Yahya Nur Huda, Fikri Zain
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引用次数: 3

Abstract

Pathfinding is one important method in many studies or works that consists of autonomous movement, such as robot, game, transportation, and so on. Pathfinding aims to find the most efficient route for the related autonomous entity. To date, there are many algorithms regarding to the pathfinding. Especially, there are four well-known pathfinding algorithms: A*, Theta*, Dijkstra, and Breadth First Search (BFS). Due to this circumstance, this work aims to observe and review these four well-known algorithms deeper. The discussion consists of the conceptual model or framework, the formalization, and the implementation. The result shows that these algorithms have been implemented in many game so that they are promising to be used in the future game development.
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游戏开发中的寻径方法综述
寻路是机器人、游戏、交通等自主运动研究或作品中的一种重要方法。寻路的目的是为相关自治实体找到最有效的路径。到目前为止,有许多关于寻路的算法。特别是,有四种著名的寻路算法:A*, Theta*, Dijkstra和广度优先搜索(BFS)。由于这种情况,本工作旨在更深入地观察和回顾这四种众所周知的算法。讨论包括概念模型或框架、形式化和实现。结果表明,这些算法已经在许多游戏中得到了实现,在未来的游戏开发中具有很大的应用前景。
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