Next Article in Journal
Overview of Fiber Optic Sensor Technologies for Strain/Temperature Sensing Applications in Composite Materials
Previous Article in Journal
Wireless Relay Selection in Pocket Switched Networks Based on Spatial Regularity of Human Mobility
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(1), 95; doi:10.3390/s16010095

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

Department of Electrical Engineering, University of Ulsan, Namgu, Ulsan 680-749, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Francesco De Leonardis
Received: 2 November 2015 / Revised: 24 December 2015 / Accepted: 11 January 2016 / Published: 13 January 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [3886 KB, uploaded 13 January 2016]   |  

Abstract

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. View Full-Text
Keywords: blind; virtual cane; inertial sensor; assisting system; Kalman filter blind; virtual cane; inertial sensor; assisting system; Kalman filter
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Dang, Q.K.; Chee, Y.; Pham, D.D.; Suh, Y.S. A Virtual Blind Cane Using a Line Laser-Based Vision System and an Inertial Measurement Unit. Sensors 2016, 16, 95.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top