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RF-based location system in harsh environment

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

RF-based location tracking in industrial environment possesses many challenges due to the complex propagation condition. This paper will address some of the problems in this environment. Firstly, we evaluate the performance of RF-based tracking in a harsh environment, i.e. in a car manufacturing plant. Secondly, the research presents a comprehensive study of an algorithm that utilises Bayesian filters, leading to robust location and tracking estimation. The evaluation of the location system was conducted in three test-beds. One test-bed mimics an office environment and the second and the third an assembly hall in car manufacturing plant.

Original languageEnglish
Title of host publicationIFAWC 2007 - 4th International Forum on Applied Wearable Computing 2007, Proceedings
EditorsOtthein Herzog, Holger Kenn, Michael Lawo, Paul Lukowicz, Thomas Stiefmeier
PublisherVDE Verlag GmbH
Pages83-93
Number of pages11
ISBN (Electronic)9783800730179
Publication statusPublished - 2007
Externally publishedYes
Event4th International Forum on Applied Wearable Computing 2007, IFAWC 2007 - Tel Aviv, Israel
Duration: 12 Mar 200713 Mar 2007

Publication series

NameIFAWC 2007 - 4th International Forum on Applied Wearable Computing 2007, Proceedings

Conference

Conference4th International Forum on Applied Wearable Computing 2007, IFAWC 2007
Country/TerritoryIsrael
CityTel Aviv
Period12/03/0713/03/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Indoor Tracking
  • Particle Filter
  • RF-based location

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