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

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Text/Journal Article

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Datum

2011

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Quelle

KI - Künstliche Intelligenz: Vol. 25, No. 2

Verlag

Springer

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.

Beschreibung

Vaskevicius, Narunas; Birk, Andreas (2011): Towards Pathplanning for Unmanned Ground Vehicles (UGV) in 3D Plane-Maps of Unstructured Environments. KI - Künstliche Intelligenz: Vol. 25, No. 2. Springer. PISSN: 1610-1987. pp. 141-144

Schlagwörter

3D simultaneous localization and mapping (SLAM) , Mobile robot , Path-planning

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Künstliche Intelligenz 25(2) - Mai 2011