Towards Pathplanning for Unmanned Ground Vehicles (UGV) in 3D Plane-Maps of Unstructured Environments
Zusammenfassung
Work 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.
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- BibTeX
Vaskevicius, N. & Birk, A.,
(2011).
Towards Pathplanning for Unmanned Ground Vehicles (UGV) in 3D Plane-Maps of Unstructured Environments.
KI - Künstliche Intelligenz: Vol. 25, No. 2.
Springer.
(S. 141-144).
DOI: 10.1007/s13218-011-0098-7
@article{mci/Vaskevicius2011,
author = {Vaskevicius, Narunas AND Birk, Andreas},
title = {Towards Pathplanning for Unmanned Ground Vehicles (UGV) in 3D Plane-Maps of Unstructured Environments},
journal = {KI - Künstliche Intelligenz},
volume = {25},
number = {2},
year = {2011},
,
pages = { 141-144 } ,
doi = { 10.1007/s13218-011-0098-7 }
}
author = {Vaskevicius, Narunas AND Birk, Andreas},
title = {Towards Pathplanning for Unmanned Ground Vehicles (UGV) in 3D Plane-Maps of Unstructured Environments},
journal = {KI - Künstliche Intelligenz},
volume = {25},
number = {2},
year = {2011},
,
pages = { 141-144 } ,
doi = { 10.1007/s13218-011-0098-7 }
}
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Mehr Information
ISSN: 1610-1987
Datum: 2011
Typ: Text/Journal Article