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A Virtual Blind Cane Using a Line Laser-Based Vision System and an Inertial Measurement Unit

A virtual blind cane system for indoor application, including a camera, a line laser and an inertial measurement unit (IMU), is proposed in this paper. Working as a blind cane, the proposed system helps a blind person find the type of obstacle and the distance to it. The distance from the user to th...

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Detalles Bibliográficos
Autores principales: Dang, Quoc Khanh, Chee, Youngjoon, Pham, Duy Duong, Suh, Young Soo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732128/
https://www.ncbi.nlm.nih.gov/pubmed/26771618
http://dx.doi.org/10.3390/s16010095
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author Dang, Quoc Khanh
Chee, Youngjoon
Pham, Duy Duong
Suh, Young Soo
author_facet Dang, Quoc Khanh
Chee, Youngjoon
Pham, Duy Duong
Suh, Young Soo
author_sort Dang, Quoc Khanh
collection PubMed
description A virtual blind cane system for indoor application, including a camera, a line laser and an inertial measurement unit (IMU), is proposed in this paper. Working as a blind cane, the proposed system helps a blind person find the type of obstacle and the distance to it. The distance from the user to the obstacle is estimated by extracting the laser coordinate points on the obstacle, as well as tracking the system pointing angle. The paper provides a simple method to classify the obstacle’s type by analyzing the laser intersection histogram. Real experimental results are presented to show the validity and accuracy of the proposed system.
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spelling pubmed-47321282016-02-12 A Virtual Blind Cane Using a Line Laser-Based Vision System and an Inertial Measurement Unit Dang, Quoc Khanh Chee, Youngjoon Pham, Duy Duong Suh, Young Soo Sensors (Basel) Article A virtual blind cane system for indoor application, including a camera, a line laser and an inertial measurement unit (IMU), is proposed in this paper. Working as a blind cane, the proposed system helps a blind person find the type of obstacle and the distance to it. The distance from the user to the obstacle is estimated by extracting the laser coordinate points on the obstacle, as well as tracking the system pointing angle. The paper provides a simple method to classify the obstacle’s type by analyzing the laser intersection histogram. Real experimental results are presented to show the validity and accuracy of the proposed system. MDPI 2016-01-13 /pmc/articles/PMC4732128/ /pubmed/26771618 http://dx.doi.org/10.3390/s16010095 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dang, Quoc Khanh
Chee, Youngjoon
Pham, Duy Duong
Suh, Young Soo
A Virtual Blind Cane Using a Line Laser-Based Vision System and an Inertial Measurement Unit
title A Virtual Blind Cane Using a Line Laser-Based Vision System and an Inertial Measurement Unit
title_full A Virtual Blind Cane Using a Line Laser-Based Vision System and an Inertial Measurement Unit
title_fullStr A Virtual Blind Cane Using a Line Laser-Based Vision System and an Inertial Measurement Unit
title_full_unstemmed A Virtual Blind Cane Using a Line Laser-Based Vision System and an Inertial Measurement Unit
title_short A Virtual Blind Cane Using a Line Laser-Based Vision System and an Inertial Measurement Unit
title_sort virtual blind cane using a line laser-based vision system and an inertial measurement unit
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732128/
https://www.ncbi.nlm.nih.gov/pubmed/26771618
http://dx.doi.org/10.3390/s16010095
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