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Conference Paper

Vision-based Autonomous Control of a Quadrotor UAV using an Onboard RGB-D Camera and its Application to Haptic Teleoperation

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Stegagno,  P
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Basile,  M
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Franchi,  A
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Stegagno, P., Basile, M., Bülthoff, H., & Franchi, A. (2013). Vision-based Autonomous Control of a Quadrotor UAV using an Onboard RGB-D Camera and its Application to Haptic Teleoperation. IFAC Proceedings Volumes, 46(30), 87-92.


Cite as: https://hdl.handle.net/11858/00-001M-0000-001A-14AA-D
Abstract
In this paper we present the design of a platform for autonomous navigation of a quadrotor UAV based on RGB-D technology. The proposed platform can safely navigate
in an unknown environment while self-stabilization is done relying only on its own sensor perception. We developed an estimation system based on the integration of IMU and RGB-D
measurements in order to estimate the velocity of the quadrotor in its body frame. Experimental tests conducted as teleoperation experiments show the effectiveness of our approach in an unstructured environment.