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Path planning in GPS-denied environments: A collective intelligence approach

机译:GPS拒绝环境中的路径规划:集体情报方法

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This paper proposes a framework for reactive goal-directed navigation without global positioning facilities in unknown environments. A mobile sensor network is used for localization of regions of interest for path planning of an autonomous mobile robot in the absence of global positioning facilities. The underlying theory is an extension of a generalized gossip algorithm that has been recently developed in a language-measure-theoretic setting. The gossip algorithm has been used to propagate local decisions of target detection over a mobile sensor network and thus, it generates a belief for the target detected over the network. The proposed concept has been validated through numerical experiments with a mobile sensor network and a point mass robot.
机译:本文提出了一种在未知环境中无需全球定位设施的反应式目标定向导航框架。在没有全球定位设施的情况下,移动传感器网络用于对感兴趣区域进行定位,以进行自主移动机器人的路径规划。基本理论是对通用八卦算法的扩展,该算法最近已在语言测度理论的背景下开发。闲话算法已用于通过移动传感器网络传播目标检测的本地决策,因此,它生成了对通过网络检测到的目标的置信度。通过使用移动传感器网络和点质量机器人的数值实验验证了提出的概念。

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