Ship control centre for autonomous journ

Welcome to the

Autonomous Ship Consortium

The Autonomous Ship Consortium is an organization supporting projects enabling autonomous ship. The Autonomous Ship Consortium includes researchers, operators, developers and regulators from American and Japanese top universities and leading Japanese shipping companies. The general objective is to nurture technological talents and develop technical systems with the aim of realizing autonomous ships in Japan’s coastal areas within the next six years.

We Are

MOVERS & SHAKERS

Vision & Mission

Projects

PROJECTS

Human Factor

Develop human-factor related human-in-the-loop scenarios for manned and unmanned autonomous ship operations
Review literatures and identify relevant HF issues involved in autonomous ship operations and management
Explore safety equivalent issues involved in validating man-machine systems
Identify relevant dataand collect/search for the data sets
Develop initial models and test the models with the collected data sets

Shipware Architecture

Develop better understanding of ROS
Explore Autowarefor insights on framework design
Design Shipwaregeneral frameworkand focusedframework
Develop use case scenarios for the focused framework
Develop a suitable dynamic ship simulation environment
Developed a Shipware-basedto the ship simulation prototypefor the identified use case scenarios

Situation Awareness & Collision Avoidance

Develop use case scenarios for situation awareness and collision avoidances
Re-tool collision avoidance simulation environment
Identify and example multiple SA and CA technologies and models including mathematical models and AI models
Develop a plan for simulation based studies
Develop a prototype system for the selected use case scenarios

Ship Monitoring & Fault Diagnosis

Develop multiple use case scenarios for ship engine room monitoring and fault diagnosis
Review, identify, and develop relevant technologies and models for engine room monitoring and fault diagnosis
Develop plans for, and carry out, data collection
Develop initial prototype AI models for engine room fault diagnosis