In marine operations, the performance of model-based automatic control design and decision support systems highly relies on accuracy representative mathematical models. Model fidelity can be crucial for safe voyages offshore operations. This paper proposes a data-driven parametric model identification ship with 6 degrees freedom (6DOF) exposed to waves using sparse regression according vessel m...

This paper proposes an algorithm for visual-inertialcamera pose tracking, using adaptive recursive particle filtering.The method benefits from the agility of inertial-based androbustness of vision-based tracking. A proposal distribution hasbeen developed for the selection of the particles, which takes intoaccount the characteristics of the Inertial Measurement Unit(IMU) ...

In recent years, 6 Degrees Of Freedom (DOF) Pose Estimation and 3D Mapping is becoming more important not only in the robotics community for applications such as robot navigation but also in computer vision for the registration of large surfaces such as buildings and statues. In both situations, the robot/camera position and orientation must be estimated in order to be used for further alignmen...

The method described in this paper recognizes previously learned gestures which the system was taught by performing them. Any kind of 6DOF input device (e.g. data glove, visual systems, space mouse etc.) can be used to gather the motion data that carries out the gesture. The reliability of the recognition process can be improved by repeating the same gestures several times and correcting wrong ...