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An Electronic Travel Aid based on multi-sensor fusion using extended Kalman filter

  • Yanqi Lu
  • , Jian Huang*
  • , Wenxia Xu
  • , Chunjing Tao
  • , Xitai Wang
  • *Corresponding author for this work
  • Huazhong University of Science and Technology
  • National Research Center for Rehabilitation Technical Aids

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Inspired by the indoor localization technology of mobile robots, a novel Electronic Travel Aids (ETA) is developed based on multi-sensor fusion using an extended Kalman filter (EKF). A wearable sensor system is designed to estimate the real-time posture of user's lower limb. This system can be used both for monitoring the user's walking status and for realizing the relative localization. A belt of multiple sonar sensors worn by the user can detect the obstacle of unknown environment. Simultaneously, this sonar belt can also be used as the absolute localization device in a similar way as the mobile robot. An EKF is applied to realize the data fusion of different sensor systems. The abilities of obstacle avoidance and indoor localization of the proposed ETA are both verified through experiments.

Original languageEnglish
Title of host publicationProceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages25-30
Number of pages6
EditionMarch
ISBN (Electronic)9781479958252
DOIs
StatePublished - 2 Mar 2015
Externally publishedYes
Event2014 11th World Congress on Intelligent Control and Automation, WCICA 2014 - Shenyang, China
Duration: 29 Jun 20144 Jul 2014

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)
NumberMarch
Volume2015-March

Conference

Conference2014 11th World Congress on Intelligent Control and Automation, WCICA 2014
Country/TerritoryChina
CityShenyang
Period29/06/144/07/14

UN SDGs

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

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Electronic Travel Aids(ETA)
  • Extended Kalman filter(EKF)
  • Multi-sensor fusion
  • The wearable system

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