Title :
Using a priori current knowledge on AUV navigation
Author :
Vasquez, Nathalie ; Rendas, M. João
fDate :
28 Sep-1 Oct 1998
Abstract :
This paper addresses the problem of incorporating, in the navigation system of AUVs, existing a priori information concerning the current fields in the site of underwater robotic missions. In our approach, deterministic information, in the form of expected current field in the mission area, are used to spatially control the gain of the Kalman filter that estimates the sea current. The robustness of this approach and its extension, taking into account the uncertainty affecting the a priori information, is also discussed. Several mission simulations using the predicted current field near the Rhone river estuary are presented, demonstrating the adequacy of the methodology proposed
Keywords :
Kalman filters; mobile robots; navigation; parameter estimation; underwater vehicles; AUV; Kalman filter; Rhone river; autonomous underwater vehicles; current fields; navigation; parameter estimation; sea current; underwater robotic; Current measurement; Filters; Global Positioning System; Integrated circuit modeling; Marine vehicles; Navigation; Position measurement; Predictive models; Sea measurements; Velocity measurement;
Conference_Titel :
OCEANS '98 Conference Proceedings
Conference_Location :
Nice
Print_ISBN :
0-7803-5045-6
DOI :
10.1109/OCEANS.1998.724358