Ítem
Hernàndez Bes, Emili
Ridao Rodríguez, Pere Ribas Romagós, David Mallios, Angelos |
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2009 | |
This paper proposes MSISpIC, a probabilistic sonar scan matching algorithm for the localization of an autonomous underwater vehicle (AUV). The technique uses range scans gathered with a Mechanical Scanning Imaging Sonar (MSIS), the robot displacement estimated through dead-reckoning using a Doppler velocity log (DVL) and a motion reference unit (MRU). The proposed method is an extension of the pIC algorithm. An extended Kalman filter (EKF) is used to estimate the robot-path during the scan in order to reference all the range and bearing measurements as well as their uncertainty to a scan fixed frame before registering. The major contribution consists of experimentally proving that probabilistic sonar scan matching techniques have the potential to improve the DVL-based navigation. The algorithm has been tested on an AUV guided along a 600 m path within an abandoned marina underwater environment with satisfactory results | |
application/pdf | |
Hernandez, E., Ridao, P., Ribas, D., i Mallios, A. (2009). Probabilistic sonar scan matching for an AUV. IEEE/RSJ International Conference on Intelligent Robots and Systems : 2009 : IROS 2009, 255-260. Recuperat 21 maig 2010,a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5354656 | |
978-1-4244-3803-7 | |
http://hdl.handle.net/10256/2387 | |
eng | |
IEEE | |
Reproducció digital del document publicat a: http://dx.doi.org/10.1109/IROS.2009.5354656 Articles publicats (D-ATC) |
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© IEEE/RSJ International Conference on Intelligent Robots and Systems : 2009 : IROS 2009, 2009, p. 255-260 | |
Tots els drets reservats | |
Detectors
Sonar (Navegació) Robots submarins Vehicles submergibles Submersibles Underwater robots |
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Probabilistic sonar scan matching for an AUV | |
info:eu-repo/semantics/article | |
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