3D model-based tracking for UAV position control
Résumé
This paper presents a 3D model-based tracking suitable for indoor position control of an unmanned aerial vehi- cle (UAV). Given a 3D model of the edges of its environment, the UAV locates itself thanks to a robust multiple hypothesis tracker. The pose estimation is then fused to inertial data to provide the translational velocity required for the control. A hierarchical control is used to achieve positioning tasks. Experiments on a quad-rotor aerial vehicle validate the proposed approach.
Domaines
Robotique [cs.RO]Origine | Fichiers produits par l'(les) auteur(s) |
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