A particle filtering method for odor-source localization in Wireless Sensor Network with mobile robot

Yong Zhang, Li Wang
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引用次数: 5

Abstract

This paper presents a new method for odor source localization using a Wireless Sensor Network (WSN) by means of collaboration with a mobile robot. The method has two steps: an initial estimation of the position of odor-source is obtained centrally by one robot and is based on particle filtering. It does not require any prior information about the position of the nodes. In the second stage, the nodes refine their position estimates employing a decentralized information filter. The paper shows how the method is very suitable for outdoor odor-source localization with robotic systems. The paper includes several implementation aspects and experimental results.
移动机器人无线传感器网络中气味源定位的粒子滤波方法
本文提出了一种利用无线传感器网络(WSN)与移动机器人协同进行气味源定位的新方法。该方法分为两个步骤:由一个机器人集中对气味源的位置进行初始估计,并基于粒子滤波;它不需要任何关于节点位置的先验信息。在第二阶段,节点使用分散的信息过滤器来改进它们的位置估计。本文表明,该方法非常适用于机器人系统的室外气味源定位。本文包括了几个实现方面和实验结果。
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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