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Towards Pathplanning for Unmanned Ground Vehicles (UGV) in 3D Plane-Maps of Unstructured Environments

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dc.contributor.authorVaskevicius, Narunas
dc.contributor.authorBirk, Andreas
dc.date.accessioned2018-01-08T09:15:04Z
dc.date.available2018-01-08T09:15:04Z
dc.date.issued2011
dc.description.abstractWork in progress on efficient long range path-planning for unmanned ground vehicles (UGV) is presented. It builds upon own work on 3D mapping in unstructured environments, which uses large planar patches for representation and registration of range data. The planar patches allow a very fast assessment of drivability as indicated by experiments with several data-sets.
dc.identifier.pissn1610-1987
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11211
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 25, No. 2
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subject3D simultaneous localization and mapping (SLAM)
dc.subjectMobile robot
dc.subjectPath-planning
dc.titleTowards Pathplanning for Unmanned Ground Vehicles (UGV) in 3D Plane-Maps of Unstructured Environments
dc.typeText/Journal Article
gi.citation.endPage144
gi.citation.startPage141

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Künstliche Intelligenz 25(2) - Mai 2011