Interacting Multiple Model Algorithms for Manoeuvring Ship Tracking Based On New Ship Models

Manoeuvring Assessment in Concept Ship Design

Model-Based Tracking Initialization in Ship Building Environment

Physics-Based Learning Models for Ship Hydrodynamics

We present the concepts of physics-based learning models (PBLM) and their relevance and application to the field of ship hydrodynamics. The utility of physics-based learning is motivated by contrasting generic learning models (GLM) for regression predictions which do not presume any knowledge of the system other than the training data provided, with methods such as semi-empirical models which i...

Model based ISAR ship classification

This paper presents an investigation of ISAR image classification based on a comparison of range-Doppler imagery to 3D ship reference models. This comparison is performed in the image domain by estimating the motion of a sequency of ISAR images, generating 3D reference models corresponding to the same motion and matching the models with the given ISAR images. The effect of estimation error in t...

identification modelling of ship manoeuvring motion based on - ε support vector regression

Based on the ε support vector regression, three modelling methods for the ship manoeuvring motion, i.e., the white-box modelling, the grey-box modelling and the black-box modelling, are investigated. The o o 10 /10 , o o 20 / 20 zigzag tests and the o 35 turning circle manoeuvre are simulated. Part of the simulation data for the o o 20 / 20 zigzag test are used to train the support vectors, and...