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Sensors 2014, 14(9), 15669-15686; https://doi.org/10.3390/s140915669

Investigation of Matlab® as Platform in Navigation and Control of an Automatic Guided Vehicle Utilising an Omnivision Sensor

1
Department Electrical, Electronic and Computer Engineering, Central University of Technology, Free State, Private Bag X20539, Bloemfontein 9300, South Africa
2
Research Group in Evolvable Manufacturing Systems, Central University of Technology, Free State Bloemfontein 9300, South Africa
3
Technology and Innovation, Central University of Technology, Free State, Private Bag X20539, Bloemfontein 9300, South Africa
*
Author to whom correspondence should be addressed.
Received: 20 June 2014 / Revised: 11 August 2014 / Accepted: 13 August 2014 / Published: 25 August 2014
(This article belongs to the Special Issue Positioning and Tracking Sensors and Technologies in Road Transport)
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Abstract

Automatic Guided Vehicles (AGVs) are navigated utilising multiple types of sensors for detecting the environment. In this investigation such sensors are replaced and/or minimized by the use of a single omnidirectional camera picture stream. An area of interest is extracted, and by using image processing the vehicle is navigated on a set path. Reconfigurability is added to the route layout by signs incorporated in the navigation process. The result is the possible manipulation of a number of AGVs, each on its own designated colour-signed path. This route is reconfigurable by the operator with no programming alteration or intervention. A low resolution camera and a Matlab® software development platform are utilised. The use of Matlab® lends itself to speedy evaluation and implementation of image processing options on the AGV, but its functioning in such an environment needs to be assessed. View Full-Text
Keywords: omnidirectional; image processing; area of interest; Prewitt edge detection; Kalman filter; colour routes; reconfigurable paths; Matlab® omnidirectional; image processing; area of interest; Prewitt edge detection; Kalman filter; colour routes; reconfigurable paths; Matlab®
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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Kotze, B.; Jordaan, G. Investigation of Matlab® as Platform in Navigation and Control of an Automatic Guided Vehicle Utilising an Omnivision Sensor. Sensors 2014, 14, 15669-15686.

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