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

dc.contributor.authorKotze, Ben
dc.contributor.authorJordaan, Gerrit
dc.contributor.otherMDPI: Sensors
dc.date.accessioned2016-03-02T08:20:49Z
dc.date.available2016-03-02T08:20:49Z
dc.date.issued2014
dc.date.issued2014
dc.descriptionPublished Articleen_US
dc.description.abstractAutomatic 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.en_US
dc.format.extent1 799 053 bytes, 1 file
dc.format.mimetypeApplication/PDF
dc.identifier.issn1424-8220
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/11462/749
dc.language.isoen_USen_US
dc.publisherMDPI: Sensors
dc.relation.ispartofseriessensors;Volume 14, Issue 1,
dc.rights.holderSensors
dc.subjectomnidirectionalen_US
dc.subjectimage processingen_US
dc.subjectarea of interesten_US
dc.subjectPrewitt edge detectionen_US
dc.subjectKalman filteren_US
dc.subjectcolour routesen_US
dc.subjectreconfigurable pathsen_US
dc.subjectMATLABen_US
dc.titleInvestigation of MATLAB® as Platform in Navigation and Control of an Automatic Guided Vehicle Utilising an Omnivision Sensoren_US
dc.typeArticleen_US

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