Embedded Navigation and Classification System for Assisting Visually Impaired People

Antonio Miguel Batista Dourado, Emerson Carlos Pedrino

Abstract

Loss of vision has a large detrimental impact on a person’s mobility. Every day, visually impaired people (VIPs) face various challenges just to get around in the most diverse environments. Technological solutions, called Electronic Travel Aids, help a VIP with these challenges, giving greater confidence in the task of getting around in unfamiliar surroundings. Thus, this article presents an embedded navigation and classification system for helping VIPs indoors. Using stereo vision, the system is able to detect obstacles and choose safe ways for the VIP to walk around without colliding. A convolutional neural network using a graphics processing unit (GPU) classifies the obstacles. Acoustic feedback is transmitted to the VIP. The article also features a wearable prototype, to which the system hardware is docked for use. Using the system, the prototype could detect and classify obstacles in real time defining free paths, all with battery autonomy of about 6 hours.

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Paper Citation


in Harvard Style

Dourado A. and Pedrino E. (2018). Embedded Navigation and Classification System for Assisting Visually Impaired People.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-290-5, pages 516-523. DOI: 10.5220/0006550205160523


in Bibtex Style

@conference{visapp18,
author={Antonio Miguel Batista Dourado and Emerson Carlos Pedrino},
title={Embedded Navigation and Classification System for Assisting Visually Impaired People},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2018},
pages={516-523},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006550205160523},
isbn={978-989-758-290-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Embedded Navigation and Classification System for Assisting Visually Impaired People
SN - 978-989-758-290-5
AU - Dourado A.
AU - Pedrino E.
PY - 2018
SP - 516
EP - 523
DO - 10.5220/0006550205160523