Vision-based estimation of airborne target pseudobearing rate using hidden Markov model filters
| Data(s) |
01/10/2013
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|---|---|
| Resumo |
The problem of estimating pseudobearing rate information of an airborne target based on measurements from a vision sensor is considered. Novel image speed and heading angle estimators are presented that exploit image morphology, hidden Markov model (HMM) filtering, and relative entropy rate (RER) concepts to allow pseudobearing rate information to be determined before (or whilst) the target track is being estimated from vision information. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
Institute of Electrical and Electronics Engineers |
| Relação |
http://eprints.qut.edu.au/63450/1/manuscript-fixed.pdf http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6621806 DOI:10.1109/TAES.2013.6621806 Lai, John S., Ford, Jason J., Mejias, Luis, & O'Shea, Peter J. (2013) Vision-based estimation of airborne target pseudobearing rate using hidden Markov model filters. IEEE Transactions on Aerospace and Electronic Systems, 49(4), pp. 2129-2145. http://purl.org/au-research/grants/ARC/LP100100302 |
| Direitos |
Copyright 2013 IEEE |
| Fonte |
Australian Research Centre for Aerospace Automation; School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
| Palavras-Chave | #080104 Computer Vision #090199 Aerospace Engineering not elsewhere classified #090602 Control Systems Robotics and Automation #090609 Signal Processing #Hidden Markov Model #Computer Vision #Machine Vision #Image processing |
| Tipo |
Journal Article |
