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Map Fusion in an Independent Multi-robot Approach

机译:独立多机器人方法中的地图融合

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This paper concentrates on the study on the map fusion problem in the context of a multi-robot map building approach. Concretely it is seen as one of the steps towards the independent multi-robot map building. In the situation proposed a set of several robots performs map building tasks without the notion of other robots' existence. Each robot builds its own local map using its observations and estimates its path independently. As a result, there will be a set of local maps that can be fused into a global one. This is the case when the map fusion takes importance. Particularly, we focus our experiments on landmark-based maps constructed using visual information and by means of a particle filter. When fusing two maps, we consider the uncertainty of the landmarks integrated by each different robot to its map.
机译:本文着重研究多机器人地图构建方法中的地图融合问题。具体而言,这被视为迈向独立的多机器人地图构建的步骤之一。在这种情况下,建议由一组多个机器人执行地图构建任务,而无需考虑其他机器人的存在。每个机器人都使用自己的观察结果构建自己的本地地图,并独立估算其路径。结果,将存在一组可以融合为全局地图的局部地图。地图融合很重要时就是这种情况。特别是,我们将实验重点放在使用视觉信息并借助粒子过滤器构建的基于地标的地图上。当融合两个地图时,我们考虑了每个不同机器人对其地图整合的地标的不确定性。

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