Fei, Zixiang and Yang, Erfu and Hu, Huoheng and Zhou, Huiyu (2026) Review of machine vision-based electronic travel aids. In: 2017 23rd International Conference on Automation and Computing (ICAC), 2017-09-07 - 2017-09-08, Huddersfield, UK.
Fei, Zixiang and Yang, Erfu and Hu, Huoheng and Zhou, Huiyu (2026) Review of machine vision-based electronic travel aids. In: 2017 23rd International Conference on Automation and Computing (ICAC), 2017-09-07 - 2017-09-08, Huddersfield, UK.
Fei, Zixiang and Yang, Erfu and Hu, Huoheng and Zhou, Huiyu (2026) Review of machine vision-based electronic travel aids. In: 2017 23rd International Conference on Automation and Computing (ICAC), 2017-09-07 - 2017-09-08, Huddersfield, UK.
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Published proceedings: ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing |
| Uncontrolled Keywords: | Navigation, Roads, Machine vision, Wheelchairs, RFID tags, Laser radar |
| Divisions: | Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 02 Sep 2026 12:03 |
| Last Modified: | 02 Sep 2026 12:03 |
| URI: | http://repository.essex.ac.uk/id/eprint/28386 |
Available files
Filename: ICAC-2017-PID4877211_Zixiang_Fei_57.pdf