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Proceedings Paper

Image processing in an enhanced and synthetic vision system
Author(s): Rupert M. Mueller; Gintautas Palubinskas; Hans Gemperlein
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Paper Abstract

'Synthetic Vision' and 'Sensor Vision' complement to an ideal system for the pilot's situation awareness. To fuse these two data sets the sensor images are first segmented by a k-means algorithm and then features are extracted by blob analysis. These image features are compared with the features of the projected airport data using fuzzy logic in order to identify the runway in the sensor image and to improve the aircraft navigation data. This process is necessary due to inaccurate input data i.e. position and attitude of the aircraft. After identifying the runway, obstacles can be detected using the sensor image. The extracted information is presented to the pilot's display system and combined with the appropriate information from the MMW radar sensor in a subsequent fusion processor. A real time image processing procedure is discussed and demonstrated with IR measurements of a FLIR system during landing approaches.

Paper Details

Date Published: 16 July 2002
PDF: 10 pages
Proc. SPIE 4713, Enhanced and Synthetic Vision 2002, (16 July 2002); doi: 10.1117/12.474422
Show Author Affiliations
Rupert M. Mueller, DLR (Germany)
Gintautas Palubinskas, DLR (Germany)
Hans Gemperlein, DLR (Germany)


Published in SPIE Proceedings Vol. 4713:
Enhanced and Synthetic Vision 2002
Jacques G. Verly, Editor(s)

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