Robust video/ultrasonic fusion based estimation for automotive applications
Contribuinte(s) |
[Unknown] |
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Data(s) |
01/01/2006
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Resumo |
We describe how object estimation by a stationary or a non-stationary camera can be improved using recently-developed robust estimation ideas. The robustness of vision-based systems can be improved significantly by employing a Robust Extended Kalman Filter (REKF). The system performance is also enhanced by increasing the spatial diveristy in measurements via employing additional cameras for video capture. We describe a normal-flow based image segmentation technique to identify the object for the application of our proposed state estimation technique. Our simulations demonstrate that dynamic system modelling coupled with the application of a REKF significantly improves the estimation system performance, especially when large uncertainties are present.<br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
http://dro.deakin.edu.au/eserv/DU:30006058/hodgson-robustvideoultrasonic-2007.pdf http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4053388 |
Direitos |
2006 IEEE |
Palavras-Chave | #controlled indexing #non-controlled indexing |
Tipo |
Conference Paper |