A visual sensor data processing method has been developed and validated which allows to achieve 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 (4D approach). This encompasses both the ego motion 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 twinturbo-prop aircraft Do 128 of Dornier. For accuracy evaluation of the data gathered, the results of differential GPS and radio metric altitude measurements have been recorded simultaneously.
Visual Autonomous Automatic Landing of Airplanes
1992
9 pages
Report
No indication
English
Autonomous landing of airplanes by dynamic machine vision
British Library Online Contents | 1994
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|Engineering Index Backfile | 1930
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