Time to knit · 2000 · 17 citations · 0 references
EngineeringAutonomous SystemsOcean EngineeringAutonomous VehiclesMarine RoboticsUnderwater RoboticsAutonomous NavigationAutonomous Underwater VehiclesRobot NavigationUnderwater LocalizationUnderwater NavigationUnderwater PerceptionAutonomous Underwater Vehicle NavigationAutonomous Underwater Vehicle SystemsUnderwater Vehicle Navigation
In this work, a map based navigation algorithm is developed wherein measured geophysical properties are matched to a priori maps. The objectives is a complete algorithm applicable to a small, power-limited AUV which performs in real time to a required resolution with bounded position error. Interval B-Splines are introduced for the non-linear representation of two-dimensional geophysical parameters that have measurement uncertainty. Fine-scale position determination involves the solution of a system of nonlinear polynomial equations with interval coefficients. This system represents the complete set of possible vehicle locations and is formulated as the intersection of contours established on each map from the simultaneous measurement of associated geophysical parameters. A standard filter mechanisms, based on a bounded interval error model, predicts the position of the vehicle and, therefore, screens extraneous solutions. When multiple solutions are found, a tracking mechanisms is applied until a unique vehicle location is determined.