Indoor Localisation of Humans, Objects, and mobile Robots with RFID Infrastructure

J. Koch, Jens Wettach, E. Bloch, K. Berns
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引用次数: 52

Abstract

The need for robust indoor localisation for all types of entities has been under continuous research by the ubiquitous community. Intelligent environments have to be supported with contextual information in order to facilitate intelligent behaviour. These contextual information include the location of humans and objects within the particular environment. Intelligent environments can be living areas with home automation, smart industrial plants, sensor-equipped office areas and indoor-emergency applications. So far technical solutions are either quite expensive or lack of precision for robust usage as components in intelligent service federations. We present rather low-cost localisation systems with great scalability based on active and passive RFID technology to locate humans, mobile service robots and objects of the daily use. The trade-off between technical effort and costs on the one hand and sufficient data accuracy for the application on the other hand is discussed. A motivation of our scenario, the technical concept and solution as well as the implementation and the integration that so far have been performed will be presented. Current prototypes of the proposed system are already being tested in a project aiming on development of smart assisted living environments.
基于RFID基础设施的人、物体和移动机器人的室内定位
对所有类型实体的强大室内定位的需求一直是无处不在的社区不断研究的对象。为了促进智能行为,智能环境必须得到上下文信息的支持。这些上下文信息包括人类和物体在特定环境中的位置。智能环境可以是带有家庭自动化的生活区、智能工业厂房、配备传感器的办公区和室内应急应用。到目前为止,技术解决方案要么非常昂贵,要么缺乏作为智能服务联合组件健壮使用的精确性。我们提出了相当低成本的定位系统,具有很强的可扩展性,基于有源和无源RFID技术来定位人类,移动服务机器人和日常使用的对象。讨论了技术努力和成本与应用程序的足够数据准确性之间的权衡。我们的场景的动机,技术概念和解决方案,以及到目前为止已经执行的实现和集成将被呈现。目前,该系统的原型已经在一个旨在开发智能辅助生活环境的项目中进行了测试。
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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