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

Sensors

Ben Kotze¹ 

[1] Department Electrical, Electronic and Computer Engineering, Central University of Technology, Free State, Private Bag X20539, Bloemfontein 9300, South Africa

关键词: omnidirectional;    image processing;    area of interest;    Prewitt edge detection;    Kalman filter;    colour routes;    reconfigurable paths;    Matlab^®;   

DOI  :  10.3390/s140915669

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.