Ítem
Cufí i Solé, Xavier
García Campos, Rafael Ridao Rodríguez, Pere |
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2002 | |
This paper presents an automatic vision-based system for UUV station keeping. The vehicle is equipped with a down-looking camera, which provides images of the sea-floor. The station keeping system is based on a feature-based motion detection algorithm, which exploits standard correlation and explicit textural analysis to solve the correspondence problem. A visual map of the area surveyed by the vehicle is constructed to increase the flexibility of the system, allowing the vehicle to position itself when it has lost the reference image. The testing platform is the URIS underwater vehicle. Experimental results demonstrating the behavior of the system on a real environment are presented | |
application/pdf | |
Cufi, X., Garcia, R., i Ridao, P. (2002). An approach to vision-based station keeping for an unmanned underwater vehicle. IEEE/RSJ International Conference on Intelligent Robots and Systems : 2002, 1, 799-804. Recuperat 06 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1041488 | |
0-7803-7398-7 | |
http://hdl.handle.net/10256/2174 | |
eng | |
IEEE | |
Articles publicats (D-ATC) | |
© IEEE/RSJ International Conference on Intelligent Robots and Systems, 2002, vol. 1, p. 799-804 | |
Tots els drets reservats | |
Algorismes computacionals
Robots mòbils Vehicles submergibles Computer algorithms Submersibles Mobile robots |
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An approach to vision-based station keeping for an unmanned underwater vehicle | |
info:eu-repo/semantics/article | |
DUGiDocs |