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Map Merging Strategies for Multi-robot FastSLAM: A Comparative Survey

机译:多机器人FastSLAM的地图合并策略:比较调查

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摘要

A comparative survey between the two basic strategies used to combine partial landmark based maps in multi-robot systems, data association and inter-robot observations (Rendezvous), is presented. The simulated environment is a flat place populated by trees, which are going to be mapped by a two-mobile robot team equipped with laser range finders in order to measure every tree (landmark) location and width. Partial maps are estimated using the algorithm FastSLAM2.0.
机译:提出了两种基本策略之间的比较调查,该策略用于在多机器人系统中结合基于局部地标的地图,数据关联和机器人间观测(交会)。模拟的环境是一个树木茂密的平坦地方,这将由配备激光测距仪的两辆移动机器人小组绘制地图,以便测量每棵树木(地标)的位置和宽度。使用算法FastSLAM2.0估算局部图。

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