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Open AccessArticle

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

by 1,2,* and 3
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.
Sensors 2014, 14(9), 15669-15686; https://doi.org/10.3390/s140915669
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)
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®
MDPI and ACS Style

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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