The increasing interest in Synthetic Vision (SV) and Augmented Reality (AR) technologies has led various analysts to positively esteem the adoption of new tools enabling pilots and controllers to seamlessly operate under Visual Meteorological Conditions and Instrument Meteorological Conditions. The RETINA project will investigate the potential and applicability of SV tools and Virtual/Augmented Reality (V/AR) display techniques for the Air Traffic Control (ATC) service provision by the airport control tower. Within the project, several concepts and basic principles that have been observed in different areas (e.g. Remote Tower, Synthetic Vision Systems, AR, Information Technologies, etc.) will be brought to the level of maturity required for the Applied Research that will be conducted in SESAR V1-V3 (Applied Research, Industrial Research & Validation). To this end, a 3D airport model will be developed, along with V/AR based human-computer interfaces. The digital model will provide controllers with precise positioning for both aerial and terrestrial objects, drawing information from multiple, simulated, data sources, such as the System Wide Information Management (SWIM) network, Remote Towers sensing technologies and other well-established surveillance systems – e.g. Airport Surveillance Radar (ASR) and the Surface Movement Radar (SMR). The interface design will be based on the Ecological Interface Design approach. Finally, the project will investigate the impact of the newly conceived tools on the control tower air traffic management procedures. On the whole, those tasks that are negatively affected by poor visibility conditions, such as bad weather, fog, smoke, dust or any other kind of environmental occlusion, will become weather-independent. The RETINA project primarily relates to SESAR ER-06-2015 - High Performing Airport Operations - Improved Visualisation and Awareness, but also has a secondary relationship to SESAR ER-03-2015 - Information Management in ATM.

First responders are the groups of people, services and organisations with specialised skills and qualifications whose duty is to arrive first to the emergency zone, search, save and rescue operations, and perform crisis management in natural or human-made disasters. Although first responders provide secure and safe societies by protecting the communities, responding to the disasters and rescuing lives, they often use inefficient, weak and obsolete technologies in the operations. With respect to the current situation, the operational capabilities of the first responders can be dramatically boosted by the advances in technology and engineering fields such as smart sensor systems, wearables, data processing, data fusion, data analytics, communication infrastructure, and artificial intelligence tools. The main objective of TeamAware Project is to develop an integrated and cost-efficient situational awareness system for first responders from different sectors with heterogeneous and hardly interoperable sensor units including drone mounted, wearable, and external sensor systems, existing first responder services, and operation centres. The purpose is to enhance crisis management, flexibility and reaction capability of first responders of different sectors through real-time, fused, refined, filtered, and manageable information by using highly-standardized augmented reality and mobile human machine interfaces.

Combating irregular migration, human smuggling, terrorism at sea, piracy, as well as arms and drug trafficking has become a high priority on Europe’s security agenda. Securing the sea requires a day-to-day collaboration activities among European actors of maritime surveillance, Member States’ administrations and European agencies principally, and a significant number of initiatives are being taken at EU level to address this challenge. The large amount of ‘raw data’ available today are not usable by systems supporting maritime security since they are not accessible at the same time and, often, they are not interoperable. Therefore, the overarching goal of MARISA project is to provide the security communities operating at sea with a data fusion toolkit, which makes available a suite of methods, techniques and modules to correlate and fuse various heterogeneous and homogeneous data and information from different sources, including Internet and social networks, with the aim to improve information exchange, situational awareness, decision-making and reaction capabilities. The proposed solution will provide mechanisms to get insights from any big data source, perform analysis of a variety of data based on geographical and spatial representation, use techniques to search for typical and new patterns that identify possible connections between events, explore predictive analysis models to represent the effect of relationships of observed object at sea. Enterprise and ad-hoc reporting and services, within the CISE context, will be provided to support users and operational systems in their daily activities, as well as presentation tools for navigating and visualizing results of data fusion processing. The involvement of 5 practitioners as full partners will allow on the one hand to align innovation to user needs, on the other hand to validate the toolkit through a number of trials addressing cross country/cross domain applications.