The objective of the project ‘PREParE SHIPS’ is the development and demonstration of a collaborative resilience navigation solution. It aims to develop and enhance existing software solution by exploiting the distinguished features of Galileo signals as well as combining it with other nautical information on internal as well as external parameters and sensor technologies. The final navigation decision support tool implemented consists of collaborative exchange by ship2ship communication of dynamically predicted future position based on resilient position from Galileo receivers. This will increase safety and efficiency significantly and will be the base of future autonomous operations. Besides the use of vessel on board sensors, ‘PREParE SHIPS’ will also make use of data learning of earlier ship behaviour to exchange near-future positions with vessels in the vicinity and VTS centers (Vessel Traffic Services) to increase safety and improve decision making. In order to define the correct requirements for the PREParE SHIPS combined positioning solution, a collaborative automated vessel application will be defined and developed. The vessel application will rely on the high availability positioning solution and use it to couple its various navigational systems with ship2ship/ ship2shore and aggregate information received from other connected vessels. As there will be a transition period where a lot of vessels are neither connected nor automated, solutions having high impact during low penetration are in focus. ‘PREParE SHIPS’ will implement and demonstrate a fairway geo-fencing with high precision positioning taking into account various data sources (e.g. wind and current) as well as a traffic monitoring and predicted positions so it can allow for safe decisions based on robust data. This means that ‘PREParE SHIPS’ also will implement perception layer sensor fusion that uses information collected historically in similar conditions based on machine learning-hybrid models.

In the URClearED project, starting from a clear knowledge of the current status of the activities that are currently on-going, relevant steps to support the RWC functions of such a DAA system are intended to be carried out, strictly interacting with the projects on-going and those that will start in the time frame of the present project. In short, the project aims to support current study activities on the RWC functionalities by defining and analyzing operational scenarios which allow to assess requirements and assumptions made in current standards and applicable documents, and then paving the way to future industrial level activities on such system. the above overall objective will be pursued through: - define a set of operational scenarios which are peculiar to integration of an IFR RPAS into Class D-G airspaces, by taking into account current assumptions and requirements as defined in the EUROCAE-OSED [REF-1] (but also draft OPA, OSA, MASPS under development), also analyzing input from all other relevant focus groups and projects; - develop a full Remain Well Clear (RWC) functionality of a DAA system, which supports evaluation for the operational conditions in integrating RPAS in Class D-G airspaces; - define a set of scenarios for verification activities; - carry out both Fast-Time Simulation and Real-Time simulation-Human in the Loop (both Remote Pilots and Air Traffic Control Officers) which allow to analyze such scenarios and provide validation and possible enhancements/amendments to EUROCAE OSED, as long as performance, safety (including Human Factors) and interoperability requirements; - assess Surveillance Sensors performance requirements; - Integrate the most advanced CA system available, as developed in relevant European projects (MIDCAS, MIDCAS SSP, SESAR PJ10-05 Wave 1, SESAR PJ111 & 117 Wave 2) for the full evaluation of the DAA system. - Dissemination to the relevant stakeholder groups, including participation to standardization activities.

Critical Real-Time Embedded Systems (CRTES) such as railway, aerospace, automotive and energy generation systems face a disruptive challenge caused by the massive irruption of mixed-criticality systems based on multicore processors. At the same time low-power is an intensifying demand in many market segments, a competitive advantage for CRTES that have to operate with limited energy (e.g., battery powered systems), an enabler for higher availability and a desired feature towards near-zero emission in systems with tens/hundreds of devices. Power is also a key aspect in mixed-criticality systems as another resource (together with time and space) that has to be shared among different applications and has to be strictly controlled not to cause undesired interferences. The main objective of SAFEPOWER is to enable the development of mixed-criticality systems with low power, energy and temperature in combination with safety, real-time and security support by a reference architecture orchestrating different local power-management techniques. SAFEPOWER builds a comprehensive suite of multi-core platform technologies as well as analysis, simulation and verification tools for low-power mixed-criticality systems, including hardware and software reference platforms assisting the implementation, observation and test of such applications. SAFEPOWER will demonstrate the benefits through two industrial use-cases and a cross-domain public demonstrator. The safety concept of SAFEPOWER will be assessed by an external certification authority and consider reference domains and safety standards (e.g. industrial IEC-61508, railway, automotive, aerospace). SAFEPOWE brings significant improvements w.r.t. power, energy, temperature, availability and lifetime of CRTES as well as new types of competitive products operating with limited energy. Impact and exploitation will also be facilitated by the strong collaboration with other related projects in the cluster of mixed-criticality systems.

This proposal addresses “Topic 03: Aircraft Systems” of the SESAR ER RPAS call. Drones appear in a large variety of types, configurations and sizes. They are operated in a large variety of operational environments (i.e. locations, classes of airspace). However, it is essential that they interoperate with other drones as well as with manned aircraft. This proposal addresses the on-board technologies for drones that are required in order to implement the Unmanned Traffic Management (UTM) concept for drone operations at Very Low Level (VLL) and within the Visual Flight Rules (VFR) environment. The project will cover Detect And Avoid (D&A) systems for cooperative and non-cooperative traffic, auto-pilot systems as well as Communication, Navigation and Surveillance (CNS) systems. This project will identify the available CNS infrastructure and on-board technologies to formulate an implementation approach. Based on this an on-board system concept will be developed and evaluated.