Autonomous landing of airplanes by dynamic machine vision
Dickmanns, E.D.
Schell, F.-R.
Univ. der Bundeswehr Munchen, Neubiberg;
This paper appears in: Applications of Computer Vision, Proceedings, 1992., IEEE Workshop on
Publication Date: 30 Nov-2 Dec 1992
On page(s): 172-179
Meeting Date: 11/30/1992 - 12/02/1992
Location: Palm Springs, CA, USA
ISBN: 0-8186-2840-5
References Cited: 14
INSPEC Accession Number: 4437626
Digital Object Identifier: 10.1109/ACV.1992.240314
Current Version Published: 2002-08-06
Abstract
The 4D approach to dynamic machine vision has been validated for
the application area of on-board autonomous landing approaches in the
visual flight regime with computing technology available today; sensors
are a video-camera, inertial gyros and an air velocity meter. The key
feature of the method is the reconstruction and servo-maintained
adjustment by prediction error feedback of an internal spatio-temporal
model about the process to be controlled. This encompasses both the
egomotion state of the aircraft carrying the sensors and the relevant
geometric properties of the runway and its spatial environment. The
efficiency of the approach is proved both in a hardware-in-the-loop
simulation and in real test-flights with a twin-turbo-prop aircraft Do
128 of Dornier. For accuracy evaluation of the data gathered, the
results of differential GPS and radiometric altitude measurements have
been recorded simultaneously
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