Review of machine vision-based electronic travel aids

Zixiang Fei, Erfu Yang, Huosheng Hu, Huiyu Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

5 Citations (Scopus)
57 Downloads (Pure)

Abstract

Visual impaired people have navigation and mobility problems on the road. Up to now, many approaches have been conducted to help them navigate around using different sensing techniques. This paper reviews several machine vision- based Electronic Travel Aids (ETAs) and compares them with those using other sensing techniques. The functionalities of machine vision-based ETAs are classified from low-level image processing such as detecting the road regions and obstacles to high-level functionalities such as recognizing the digital tags and texts. In addition, the characteristics of the ETA systems for blind people are particularly discussed.
Original languageEnglish
Title of host publicationICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing
Place of PublicationPiscataway, N.J.
PublisherIEEE
Number of pages8
ISBN (Electronic)9780701702618
DOIs
Publication statusPublished - 26 Oct 2017
Event23rd IEEE International Conference on Automation and Computing, ICAC 2017 - Huddersfield, United Kingdom
Duration: 7 Sep 20178 Sep 2017

Conference

Conference23rd IEEE International Conference on Automation and Computing, ICAC 2017
CountryUnited Kingdom
CityHuddersfield
Period7/09/178/09/17

Keywords

  • machine vision
  • visusal impairment
  • navigation system
  • electronic travel aids

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  • Cite this

    Fei, Z., Yang, E., Hu, H., & Zhou, H. (2017). Review of machine vision-based electronic travel aids. In ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing [8082021] IEEE. https://doi.org/10.23919/IConAC.2017.8082021