Ship Maneuvering Prediction under Navigation Vector Multiplication based Pivot Point Estimation

Abstract

A novel methodology to predict future vessel behavior in ship maneuvers is presented in this study. The method consists of estimating the respective vessel states by an extended Kalman filter with the measurements of vessel position, heading, yaw rate and acceleration values and calculating the future vessel position and orientation (i.e. heading) by a vector dot and cross product based algorithm, where the respective pivot point information is also incorporated. The proposed method is simulated and successful computational results on predicting future vessel behavior in ship maneuvers are also presented. Therefore, this method can be implemented in an integrated bridge system to improve the navigation safety in ship maneuvers.