Title
Investigation of Matlab® as platform in navigation and control of an Automatic Guided Vehicle utilising an omnivision sensor.
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 (R) software development platform are utilised. The use of MATLAB (R) 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.
Year
DOI
Venue
2014
10.3390/s140915669
SENSORS
Keywords
Field
DocType
omnidirectional,image processing,area of interest,Prewitt edge detection,Kalman filter,colour routes,reconfigurable paths,MATLAB (R)
MATLAB,Reconfigurability,Computer science,Image processing,Real-time computing,Electronic engineering,Artificial intelligence,Software development,Omnidirectional camera,Omnidirectional antenna,Computer vision,Kalman filter,Area of interest
Journal
Volume
Issue
ISSN
14
9
1424-8220
Citations 
PageRank 
References 
0
0.34
3
Authors
2
Name
Order
Citations
PageRank
Ben Kotze100.34
Gerrit Jordaan200.34