Review of Machine Vision-Based Electronic Travel Aids

Zixiang Fei, Erfu Yang, Huoheng Hu, Huiyu Zhou

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

4 Citations (Scopus)
222 Downloads (Pure)

Abstract

Visual impaired people have navigation and mobility problems on roads. Up to now, many approaches have been proposed to help these people 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 categorized from low-level image processing such as detection of the road regions and obstacles to high-level functionalities such as recognition of digital tags and texts. In addition, the characteristics of the ETA systems for blind people are discussed.
Original languageEnglish
Title of host publicationProceedings of the 23rd International Conference on Automation & Computing, University of Huddersfield, Huddersfield, UK, 7-8 September 2017
Number of pages7
Publication statusPublished - 08 Sep 2017
EventInternational Conference on Automation and Computing -
Duration: 07 Sep 201708 Sep 2017

Conference

ConferenceInternational Conference on Automation and Computing
Period07/09/201708/09/2017

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  • Cite this

    Fei, Z., Yang, E., Hu, H., & Zhou, H. (2017). Review of Machine Vision-Based Electronic Travel Aids. In Proceedings of the 23rd International Conference on Automation & Computing, University of Huddersfield, Huddersfield, UK, 7-8 September 2017