A comparative study between on-line and off-line navigations on intelligent transportation system

K. Kinugawa, H. Noborio
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引用次数: 1

Abstract

In this paper, we compare off-line and online path-planning algorithms and seek for a possibility to design an efficient path-planning algorithm for multiple mobile robots. In general, an off-line path-planning algorithm always selects the shortest path for a robot, but it is time consuming because of combination search. On the other hand, an online path-planning algorithm quickly picks up a reasonable path but does not always find any path for a complex swarm of encountered robots. In this research, we compare two different path-planning algorithms with each other, and describe a possibility to develop their fusion path-planning algorithm for multiple mobile robots.
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智能交通系统在线与离线导航的比较研究
在本文中,我们比较了离线和在线路径规划算法,并寻求设计一种有效的多移动机器人路径规划算法的可能性。一般情况下,离线路径规划算法总是为机器人选择最短路径,但由于需要进行组合搜索,耗时较长。另一方面,在线路径规划算法可以快速地选择一条合理的路径,但对于复杂的机器人群来说,并不总是能找到任何路径。在本研究中,我们比较了两种不同的路径规划算法,并描述了一种开发多移动机器人融合路径规划算法的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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