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An improved indoor localization system for mobile robots based on landmarks on the ceiling

机译:一种改进的基于天花板上的地标的移动机器人室内定位系统

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Accurate and reliable localization is a basic requirement for a mobile robot to execute tasks including docking and transportation. A common approach to solve the problem is to use artificial landmarks. In this paper, an indoor localization system using passive landmarks and an infrared sensor is introduced. However, there are several types of estimation error in this localization system. To solve these problems, a sensor model is built after the analysis to the properties of the infrared sensor. We use the sensor model to incrementally place landmark on the robot's path. It aims to reduce the number of landmarks with the variance guarantee to hold. Then we introduce how to create a global coordinate system. A data fusion method based on the sensor model is also used when landmark is on the view edge of the sensor to improve location accuracy. Experiments performed demonstrate the feasibility of improved localization system.
机译:准确可靠的定位是移动机器人执行包括对接和运输在内的任务的基本要求。解决该问题的常用方法是使用人工地标。本文介绍了一种使用无源地标和红外传感器的室内定位系统。但是,在这种定位系统中存在几种类型的估计误差。为了解决这些问题,在对红外传感器的特性进行分析之后,建立了一个传感器模型。我们使用传感器模型将地标递增地放置在机器人的路径上。它旨在减少具有方差保证的地标数量。然后,我们介绍如何创建全局坐标系。当界标在传感器的视线边缘时,还会使用基于传感器模型的数据融合方法,以提高定位精度。进行的实验证明了改进的本地化系统的可行性。

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