DocumentCode :
635635
Title :
Complex structure profile estimation and following with the GIRONA500 AUV
Author :
Galceran, Enric ; Carreras, Marc ; Palomeras, Narcis ; Ridao, Pere
Author_Institution :
Underwater Robot. Res. Center, Univ. of Girona, Girona, Spain
fYear :
2013
fDate :
10-14 June 2013
Firstpage :
1
Lastpage :
6
Abstract :
We present a seabed profile estimation and following method for surveying complex underwater structures in close proximity, enabling high-resolution data acquisition. The proposed method goes beyond traditional seabed following at a safe altitude, and exploits hovering-capable autonomous underwater vehicles (AUVs) equipped with a range sensing sonar to follow complex structure profiles in the vertical or horizontal plane in close proximity. The method maintains a local map representation that allows to deal with sensor delay and distortion due to the vehicle motion. An estimate of the local profile is obtained by means of linear regression. Two behavior-based control schemes which use the profile estimates are provided for horizontal and vertical profile following, respectively. The feasibility of the proposed method is demonstrated both in simulation and in pool trials using the GIRONA500 AUV.
Keywords :
autonomous underwater vehicles; distortion; marine safety; regression analysis; signal representation; signal resolution; sonar signal processing; GIRONA500 AUV; behavior-based control schemes; complex structure profile estimation; complex structure profiles; complex underwater structures surveying; distortion; high-resolution data acquisition; horizontal plane; horizontal profile following; hovering-capable autonomous underwater vehicles; linear regression; local map representation; local profile estimation; profile estimates; range sensing sonar; safe altitude; seabed profile estimation; sensor delay; vehicle motion; vertical plane; vertical profile following; Estimation; Robot kinematics; Robot sensing systems; Sonar; Trajectory; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS - Bergen, 2013 MTS/IEEE
Conference_Location :
Bergen
Print_ISBN :
978-1-4799-0000-8
Type :
conf
DOI :
10.1109/OCEANS-Bergen.2013.6608095
Filename :
6608095
Link To Document :
بازگشت