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dc.contributor.authorGottschalk, Richardes-ES
dc.contributor.authorBurgos Artizzu, Xavier P.es-ES
dc.contributor.authorRibeiro Seijas, A.es-ES
dc.contributor.authorPajares Miguelsanz, Gonzaloes-ES
dc.contributor.authorSánchez Miralles, Alvaroes-ES
dc.date.accessioned2016-10-18T12:04:03Z-
dc.date.available2016-10-18T12:04:03Z-
dc.identifier.urihttp://hdl.handle.net/11531/14062-
dc.description.abstractes-ES
dc.description.abstractThis paper describes the image processing for an autonomous field inspection vehicle that uses a webcam for the navigation between two rows of agricultural crop. The relative vehicle position is calculated by segmentation and classification of the images and then by extracting geometrical lines corresponding to the crop rows. An autonomous vehicle was built and tested successfully in an agricultural environment.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.titleReal-time image processing for the guidance of a small agricultural field inspection vehiclees_ES
dc.typeinfo:eu-repo/semantics/workingPaperes_ES
dc.description.versioninfo:eu-repo/semantics/draftes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordsAutonomous guidance; real-time image processing; precision agriculture; weed mappingen-GB
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