MARNG

Current maritime control centers are heterogeneous systems with numerous legacy components. Due to coastal wide sensor networks the data load has increased exponentially and current system architectures are no longer sufficient to process that data efficiently. MARNG researches new concepts that will offer interoperability, safety, security, and performance. New data analysis methods, derived from the big data domain, will drive mission critical decision support for the maritime domain awareness, reducing disaster risk dramatically.

MARNG aims to

• devise concepts for an integrative system architecture allowing for interoperability of heterogeneous sub-systems and legacy systems in a safe and secure way
• develop novel prediction algorithms for improved collision warning based on physical modes taking into account real-time data about a vessel’s state
• develop novel algorithms for the prediction of the mid-term behavior of vessels and for the automatic and real-time detection of unusual situations
• implement a lab demonstrator allowing to demonstrate, verify and validate the concepts developed

This project is funded by the Austrian Federal Ministry for Transport, Innovation and Technology (bmvit) within the programme “IKT der Zukunft” under grant 861258.