DocumentCode
2603969
Title
Water column current profile aided localisation for Autonomous Underwater Vehicles
Author
Medagoda, Lashika ; Jakuba, Mike V. ; Pizarro, Oscar ; Williams, Stefan B.
Author_Institution
Australian Centre for Field Robot., Univ. of Sydney, Sydney, NSW, Australia
fYear
2010
fDate
24-27 May 2010
Firstpage
1
Lastpage
10
Abstract
Survey class Autonomous Underwater Vehicles (AUVs) rely on Doppler Velocity Logs (DVL) for precise navigation near the seafloor. In cases where the seafloor depth is greater than the DVL bottom lock range, transiting from the surface, where GPS is available, to the seafloor presents a localisation problem since both GPS and DVL are unavailable in the midwater column. This paper proposes an alternative approach to navigation in the mid-water column that exploits the fact that current profiles of water columns are stable over time. With reobservation of these currents with the ADCP (Acoustic Doppler Current Profiler) mode of the DVL during descent, along with sensor fusion of other low cost sensors, position error growth can be constrained to near the initial velocity uncertainty of the vehicle at the sea surface during the dive, and following DVL bottom lock, the entire velocity history is constrained to an error similar to the DVL velocity uncertainty. Simulation results show performance with sensor fusion of a low cost IMU and DVL bottom lock at the sea floor can achieve 20 cm per minute (2 σ) position error growth. Results with real data from an Autonomous Benthic Explorer (ABE) dive show that this method is applicable and a promising approach to navigation for untended deepwater autonomous vehicle operations.
Keywords
Global Positioning System; mobile robots; navigation; remotely operated vehicles; sensor fusion; sonar; underwater vehicles; ADCP; DVL; DVL bottom lock range; Doppler velocity log; GPS; acoustic Doppler current profiler; autonomous benthic explorer dive; autonomous underwater vehicle; deepwater autonomous vehicle operation; precise navigation; sea surface; seafloor depth; sensor fusion; vehicle velocity uncertainty; water column current profile aided localisation; Accuracy; Current measurement; Global Positioning System; History; Mathematical model; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS 2010 IEEE - Sydney
Conference_Location
Sydney, NSW
Print_ISBN
978-1-4244-5221-7
Electronic_ISBN
978-1-4244-5222-4
Type
conf
DOI
10.1109/OCEANSSYD.2010.5604016
Filename
5604016
Link To Document