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Infield path planning for autonomous unloading vehicles

dc.contributor.authorScheuren, Stephan
dc.contributor.authorHertzberg, Joachim
dc.contributor.authorStiene, Stefan
dc.contributor.authorHartanto, Ronny
dc.contributor.editorClasen, Michael
dc.contributor.editorKersebaum, K. Christian
dc.contributor.editorMeyer-Aurich, Andreas
dc.contributor.editorTheuvsen, Brigitte
dc.date.accessioned2018-10-31T12:29:05Z
dc.date.available2018-10-31T12:29:05Z
dc.date.issued2013
dc.description.abstractIn agricultural harvesting processes, the infield logistics of transporting the crop from the harvesters' tanks to a street transporter at the field border with an unloading vehicle is challenging. The harvesters have to be unloaded while driving and in time to prevent the loss of expensive process time. The path planning for the unloading vehicle has to consider the unharvested area as a dynamic obstacle and cope with additional constraints like the harvester's kinematics, dynamics and its unloading direction. We present an approach for infield path planning for autonomous unloading vehicles that tackles these problems.en
dc.identifier.isbn978-3-88579-605-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/17637
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMassendatenmanagement in der Agrar- und Ernährungswirtschaft – Erhebung – Verarbeitung – Nutzung
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-211
dc.titleInfield path planning for autonomous unloading vehiclesen
dc.typeText/Conference Paper
gi.citation.endPage302
gi.citation.publisherPlaceBonn
gi.citation.startPage299
gi.conference.date20.-21. Februar 2013
gi.conference.locationPotsdam
gi.conference.sessiontitleRegular Research Papers

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