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Fast Alignment using Rotation Vector and Adaptive Kalman Filter.
- Source :
-
IEEE Transactions on Aerospace & Electronic Systems . Jan2006, Vol. 42 Issue 1, p70-83. 14p. 3 Black and White Photographs, 3 Diagrams, 1 Chart, 5 Graphs. - Publication Year :
- 2006
-
Abstract
- A fast and convenient alignment method is proposed. To improve the speed of convergence, we used rotation vectors instead of traditional Euler angles. Furthermore, we developed an algorithm to automatically tune the measurement noise covariance matrix using adaptive Kalman filtering. Finally, the developed algorithms were applied to an aerial imaging system to automatically geo-locate the centers of the images. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00189251
- Volume :
- 42
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Aerospace & Electronic Systems
- Publication Type :
- Academic Journal
- Accession number :
- 20383043
- Full Text :
- https://doi.org/10.1109/TAES.2006.1603406