DocumentCode :
3056529
Title :
Navigation by optical flow
Author :
Hagen, Espen ; Heyerdahl, Eilert
Author_Institution :
Norwegian Defence Res. Estab., Kjeller, Norway
fYear :
1992
fDate :
30 Aug-3 Sep 1992
Firstpage :
700
Lastpage :
703
Abstract :
A new navigation method based on measurements of image token positions and Kalman filtering is presented. An image token is the central projection of a landmark, a point on the terrain surface. This surface being described by a topographical map, the Kalman filter processes the measurements to update estimates of camera position and orientation, and landmark positions. Tests of an implementation for aeroplane navigation indicate a performance comparable to, or better than, that of satellite navigation systems. The implemented algorithm also seems to have a high tolerance against noise and modelling errors
Keywords :
Kalman filters; aircraft; navigation; Kalman filtering; aeroplane; image token positions; landmark positions; navigation; optical flow; topographical map; Cameras; Image motion analysis; Nonlinear equations; Nonlinear optics; Optical filters; Position measurement; Radio navigation; Satellite navigation systems; State estimation; Surface topography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2910-X
Type :
conf
DOI :
10.1109/ICPR.1992.201657
Filename :
201657
Link To Document :
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