Review of machine vision-based electronic travel aids
Fei, Zixiang and Yang, Erfu and Hu, Huosheng and Zhou, Huiyu; (2017) Review of machine vision-based electronic travel aids. In: ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing. IEEE, GBR. ISBN 9780701702618 (https://doi.org/10.23919/IConAC.2017.8082021)
Preview |
Text.
Filename: Fei_etal_ICAC_2017_Review_of_machine_vision_based_electronic_travel.pdf
Accepted Author Manuscript Download (338kB)| Preview |
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.
ORCID iDs
Fei, Zixiang, Yang, Erfu ORCID: https://orcid.org/0000-0003-1813-5950, Hu, Huosheng and Zhou, Huiyu;-
-
Item type: Book Section ID code: 61157 Dates: DateEvent26 October 2017Published14 June 2017AcceptedNotes: © 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. Subjects: Technology > Engineering (General). Civil engineering (General) > Engineering design Department: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 29 Jun 2017 09:25 Last modified: 11 Nov 2024 15:10 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/61157