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Proceedings Paper

Experimental results in autonomous landing approaches by dynamic machine vision
Author(s): Ernst Dieter Dickmanns; Stefan Werner; S. Kraus; R. Schell
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Paper Abstract

The 4-D approach to dynamic machine vision, exploiting full spatio-temporal models of the process to be controlled, has been applied to on board autonomous landing approaches of aircraft. Aside from image sequence processing, for which it was developed initially, it is also used for data fusion from a range of sensors. By prediction error feedback an internal representation of the aircraft state relative to the runway in 3-D space and time is servo- maintained in the interpretation process, from which the control applications required are being derived. The validity and efficiency of the approach have been proven both in hardware- in-the-loop simulations and in flight experiments with a twin turboprop aircraft Do128 under perturbations from cross winds and wind gusts. The software package has been ported to `C' and onto a new transputer image processing platform; the system has been expanded for bifocal vision with two cameras of different focal length mounted fixed relative to each other on a two-axes platform for viewing direction control.

Paper Details

Date Published: 13 July 1994
PDF: 10 pages
Proc. SPIE 2220, Sensing, Imaging, and Vision for Control and Guidance of Aerospace Vehicles, (13 July 1994); doi: 10.1117/12.179615
Show Author Affiliations
Ernst Dieter Dickmanns, Univ. der Bundeswehr Muenchen (Germany)
Stefan Werner, Univ. der Bundeswehr Muenchen (Germany)
S. Kraus, Univ. der Bundeswehr Muenchen (Germany)
R. Schell, Univ. der Bundeswehr Muenchen (Germany)


Published in SPIE Proceedings Vol. 2220:
Sensing, Imaging, and Vision for Control and Guidance of Aerospace Vehicles
Jacques G. Verly; Sharon S. Welch, Editor(s)

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