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Proceedings Paper

Image-based augmentation of an autonomous VTOL-MAV
Author(s): N. Frietsch; A. Maier; C. Kessler; O. Meister; J. Seibold; G. F. Trommer
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Paper Abstract

In this paper, the development of a vision based system for a small-scale VTOL-MAV is presented. The on-board GPS/INS navigation system is augmented by further sensors in order to allow for an autonomous waypoint mode. Especially in urban environments the GPSsignal quality is disturbed by shading and multipath propagation. The investigated vision system based on algorithms analyzing the optical flow is essential to enable the helicopter to reliably hover even in these scenarios. Due to the integration of the vision based navigation information into the navigation filter, GPSsignal outages can be bridged. The necessary height above ground information is estimated from the relative altitude change given by the barometric altimeter and the optical flow.

Paper Details

Date Published: 24 September 2009
PDF: 11 pages
Proc. SPIE 7480, Unmanned/Unattended Sensors and Sensor Networks VI, 748010 (24 September 2009); doi: 10.1117/12.829511
Show Author Affiliations
N. Frietsch, Univ. of Karlsruhe (Germany)
A. Maier, Univ. of Karlsruhe (Germany)
C. Kessler, Univ. of Karlsruhe (Germany)
O. Meister, Univ. of Karlsruhe (Germany)
J. Seibold, Univ. of Karlsruhe (Germany)
G. F. Trommer, Univ. of Karlsruhe (Germany)

Published in SPIE Proceedings Vol. 7480:
Unmanned/Unattended Sensors and Sensor Networks VI
Edward M. Carapezza, Editor(s)

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