UiT Autonomous Ship Program

Hyper Intelligence based Digital Helmsman for Autonomous Ship Navigation in Extreme Environmental Conditions.

UiT Autonomous Ship Program

Project Summary:  The main objective in this research project is to develop the digital helmsman, ie cloned human navigator behavior, as a part of ship intelligence to operate future vessels. That will be done by analyzing real-world shipping navigation data sets collected by the UiT autonomous test vessel. The data analysis process consists of developing a deep learning based neural network to mimic human ship navigator behavior in a test vessel, supported by an onshore remote operational center. Furthermore, the cognitive ability of such neural networks under various information sources and visualization methods including human, AI, technology and regulation interactions will also be investigated to support this project.

                                                

The Four Key Pillars of the UiT Autonomous Ship Program: Human Helmsman, Digital Helmsman, Technology and Rules and Regulations and that will be evaluated under the UiT Bridge Simulator Environment, where human and AI, ie Digital Helmsman, interactions in relation to ship navigation will be further studied. 

The same AI, ie Digital Helmsman, will be evaluated under the UiT Autonomous Test Vessel. 

Selected Publications:

 

Project Updates


LinkedIn:   https://lnkd.in/eiqEUCS

Researchgate:  https://lnkd.in/e2dx_BU

YouTube:  https://lnkd.in/eESqY9d

Project Team

Lokukaluge Prasad Perera 

(Project Leader)

Peter Wide

Bjørn-Morten Batalden

Ricardo Pascoal

Gudmund Johansen

Ståle Antonsen



Page administrator: Lokukaluge Prasad Perera
Last updated: 04.04.2021 13:22