Autonomous vessels in short sea shipping and inland waterways

From the Commission's own budget table for this call. Confirm against the topic page before you plan around it: these move when a work programme is amended.

Expected Outcome: Project outputs and results are expected to contribute to all the following expected outcomes: Demonstration of remote-control operation of vessels without crew, controlled remotely (degree three [1] ). Development of concepts for fully autonomous ship where the operating system on the vessel is able to make decisions and determine actions by itself (degree four [2] ). Strengthen market confidence in the integration of remote and automated navigation in ship types and services that may see a shortage of workforce in the next decade. Contribute to the EU Port Strategy and the EU Industrial Waterborne Strategy, as well as the EU AI Continent Action Plan [3] and the upcoming EU Apply AI Strategy. Scope: Maritime Autonomous Surface Ships (MASS) have been the focus for several projects both with EU-funding and individual countries but a major breakthrough leading to extensive deployment and widespread commercial maturity are still not achieved. Autonomous vessels can offer safer and more efficient operations and cost savings. New skills and training needed for MASS is a critical issue to ensure safe operations. Projects are expected to address all the following aspects: Demonstration of two different remotely controlled vessels without seafarers on board, considering the most promising areas of operation and types of ships towards market adoption. The demonstration should be performed in at least one short-sea shipping vessel. Demonstration of two different fully autonomous operation in at least one inland waterway vessel. Demonstrations and concept studies should address the whole navigation voyage, including port calling, mooring, and berthing, potential offshore charging solutions, and passing through locks in all weather conditions [4] . Demonstrations should also include aspects for predictive maintenance, self-diagnostic systems to ensure optimal functioning of the vessel’s equipment and structure Identify and address implementation bottlenecks for relevant ship types, such as data quality and lack of infrastructure related to waterborne transport. Map infrastructure and investment needs for extensive roll-out for automated ships operations Appropriate steps to ensure sufficient cyber risk management of the systems and infrastructure used when conducting trials [5] . Address standardization needs and possible safeguards to secure data-integrity and cyber security. Provide recommendations to the relevant regulatory bodies. Address the risk of unlawful data transfer to third-countries outside the borders of the EU/EEA and the impacts it …