Image processing in an enhanced and sythetic vision system
Müller, Rupert and Palubinskas, Gintautas and Gemperlein, Hans (2002) Image processing in an enhanced and sythetic vision system. In: Proceedings of SPIE, Vol. 4713, pp. 168-177. Enhanced and Synthetic Vision 2002, Orlando, FL, 1-2.04.2002.
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Synthetic Vision (computer generated images using airport databases and the actual aircraft position and attitude data) and Sensor Vision (images generated from IR, MMW, video sensors, ...) 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 pilots 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.
|Document Type:||Conference or Workshop Item (Paper)|
|Title:||Image processing in an enhanced and sythetic vision system|
|Journal or Publication Title:||Proceedings of SPIE|
|Page Range:||pp. 168-177|
|Series Name:||Enhanced and Synthetic Vision|
|Keywords:||FLIR, feature extraction, geometric transformations|
|Event Title:||Enhanced and Synthetic Vision 2002, Orlando, FL, 1-2.04.2002|
|HGF - Research field:||Aeronautics, Space and Transport|
|HGF - Program:||Aeronautics|
|HGF - Program Themes:||L - no assignement|
|DLR - Research area:||Aeronautics|
|DLR - Program:||L FT - Flugführungstechnologien|
|DLR - Research theme (Project):||UNSPECIFIED|
|Institutes and Institutions:||Remote Sensing Technology Institute|
|Deposited By:||Cornelia Roehl|
|Deposited On:||21 Feb 2006|
|Last Modified:||06 Jan 2010 22:09|
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