Review of machine vision-based electronic travel aids

Zixiang Fei; Erfu Yang; Huosheng Hu; Huiyu Zhou

doi:10.23919/IConAC.2017.8082021

Review of machine vision-based electronic travel aids

Zixiang Fei, Erfu Yang, Huosheng Hu, Huiyu Zhou

Design, Manufacturing And Engineering Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

19 Citations (Scopus)

89 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 language	English
Title of host publication	ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing
Place of Publication	Piscataway, N.J.
Publisher	IEEE
Number of pages	8
ISBN (Electronic)	9780701702618
DOIs	https://doi.org/10.23919/IConAC.2017.8082021
Publication status	Published - 26 Oct 2017
Event	23rd IEEE International Conference on Automation and Computing, ICAC 2017 - Huddersfield, United Kingdom Duration: 7 Sept 2017 → 8 Sept 2017

Conference

Conference	23rd IEEE International Conference on Automation and Computing, ICAC 2017
Country/Territory	United Kingdom
City	Huddersfield
Period	7/09/17 → 8/09/17

Keywords

machine vision
visusal impairment
navigation system
electronic travel aids

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10.23919/IConAC.2017.8082021

Fei-etal-ICAC-2017-Review-of-machine-vision-based-electronic-travelAccepted author manuscript, 330 KB

Cite this

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title = "Review of machine vision-based electronic travel aids",

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.",

keywords = "machine vision, visusal impairment, navigation system, electronic travel aids ",

author = "Zixiang Fei and Erfu Yang and Huosheng Hu and Huiyu Zhou",

note = "{\textcopyright} 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 23rd IEEE International Conference on Automation and Computing, ICAC 2017 ; Conference date: 07-09-2017 Through 08-09-2017",

year = "2017",

month = oct,

day = "26",

doi = "10.23919/IConAC.2017.8082021",

language = "English",

booktitle = "ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing",

publisher = "IEEE",

}

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, Piscataway, N.J., 23rd IEEE International Conference on Automation and Computing, ICAC 2017, Huddersfield, United Kingdom, 7/09/17. https://doi.org/10.23919/IConAC.2017.8082021

TY - GEN

T1 - Review of machine vision-based electronic travel aids

AU - Fei, Zixiang

AU - Yang, Erfu

AU - Hu, Huosheng

AU - Zhou, Huiyu

N1 - © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2017/10/26

Y1 - 2017/10/26

N2 - 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.

AB - 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.

KW - machine vision

KW - visusal impairment

KW - navigation system

KW - electronic travel aids

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UR - http://www.cacsuk.co.uk/index.php/conferences

U2 - 10.23919/IConAC.2017.8082021

DO - 10.23919/IConAC.2017.8082021

M3 - Conference contribution book

AN - SCOPUS:85040006519

BT - ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing

PB - IEEE

CY - Piscataway, N.J.

T2 - 23rd IEEE International Conference on Automation and Computing, ICAC 2017

Y2 - 7 September 2017 through 8 September 2017

ER -

Review of machine vision-based electronic travel aids

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