OpenFields

Kalman Filter-based multi-sensor fusion for dynamic positioning of ships

The paper examines the problem of Kalman Filter-based multi-sensor fusion for dynamic positioning control of ships.

Year of Publication2010

The paper examines the problem of Kalman Filter-based multi-sensor fusion for dynamic positioning control of ships. The proposed approach enables to estimate accurately the ship’s state vector by fusing vessel’s position and heading measurements coming from on-board sensors together with distance measurements coming from a sensor located at the coast (e.g. radar). The estimated state vector is used in turn in a control loop, to regulate the horizontal position and heading of the vessel. The performance of dynamic positioning of the ship based on Kalman Filtering is evaluated through simulation experiment.

This item is categorised as follows

• Subject Collection > Equipment > Design, innovation & technologies

Additional keywords/tags