Xecs Call 1

The concept of using synthetic images for (training) simulators has already existed for quite some time and more recently, synthetic images are being used for the training of AI algorithms. The main goal of TASTI is to develop a modular framework of transferable technology to innovate synthetic image generation and tailor it to applications. The TASTI framework will be demonstrated in four different industrial domains: Healthcare, Automotive industry, Material production and Agriculture.

Heavy vehicles and heavy vehicle combinations have the greatest impact for road traffic in case of traffic accident. Whenever a heavy vehicle is involved in an accident, the risk of fatalities, material damages and total traffic stops increases dramatically. Therefore, it is essential to ensure maximum safety for heavy vehicles. The SafeTrucks project's primary objective is to improve the safety of heavy traffic by providing warning and information data directly to the driver, based on real-time road weather conditions, traffic environment and vehicle’s individual dynamic conditions. This way we expect to be able to alert the driver about an emerging risk before it turns into critical hazards. The existing traffic environment possesses various risks. Vehicles can be driven off the road due to an unexpected local road condition change. This may happen especially on smaller roads where the road maintenance is slow to respond and no reliable, wide coverage information source of local road condition exists. Vehicles’ own general slipperiness warnings typically only react to temperature change, which does not necessarily mean slippery conditions. A more accurate solution is required to provide trustworthy, real-time road condition information service, that would react to real, localized events and adapt information based on the vehicle’s own dynamics. Cross-wind is a special risk that does not affect normal passenger vehicles, but can be extremely risky for heavy vehicle combinations. Friction data, along with any warnings, needs to be processed and delivered to the driver in meaningful ways. It is essential to avoid any extra burden on the driver, who needs to be supported, not disturbed. The project will create core technology, enabling spin-offs of several value/safety adding applications, and services in transportation including high accuracy road-condition weather forecasting, road condition data integration with connected vehicles V2X/C-V2X solutions, active trailer steering system, model and sensor-based on-board driver information system, cutting-edge HIL & SIL simulator, predictive road safety analytic system based on Digital Twin and data analysis, improvements in tyre technology and reducing emissions with improved operations planning.

Supercomputing systems face tremendous challenges concerning the packaging technologies for the communication and signal processing units, for the heat removal and the power delivery. This is in particular the case for automotive supercomputer platforms for autonomous driving at level 5, when the high information interchange rates on the multiple physical channels need to lead to real-time driving decisions in most trustable and reliable way. e²LEAD focusses on the field of advanced packaging to enable the development of supercomputing platforms "Made in Europe" for the automotive industry while working on three research domains: Connectivity for high-performance data and thermal interfacing, Technology for automotive chiplet and smart power system (SPS) packaging and integration, and Reliability/Safety for new test strategies and digital twin-based design methods.

Digital health measurement, the use of digital technologies to collect clinical and other forms of health data from individuals at home environment during daily activities, promises to transform health, healthcare delivery, and the development of new medical products. Digital biomarkers are an opportunity to translate new data sources into informative, actionable insights. Bio-curity aims at developing the personalised, AI-driven service enabling the measurement of the digital biomarkers, which contribute to new and unique features (non-invasive, continuous, real-time data measurements that will be available inside the home environment), while sharing the same traditional biomarkers clinical goals (e.g., safety, prediction, diagnosis). Bio-curity will ensure data security and privacy by design.

Radar systems are a prerequisite for automated and autonomous driving. However, the amount of radar sensors per car must increase from one to about ten in the future to allow for full autonomy. This demands very cost-effective solutions without compromising on performance and easy integration in the car exterior allowing also replacement without significant effort. Therefore, the project will use 3D-MID technology, a packaging and integration technology that allows for three-dimensional arrangements of components and great flexibility in the shape of the final module. The targeted innovations are the adaptation of the technology towards its use in wireless automotive modules through the development of a radar sensor in 3D-MID technology that is directly integrated into the bumper of a car. This module aims to surpass the angular resolution of state-of-the-art radar modules by a factor six. Moreover, the integration of bare-dies into 3D-MID technology as well the integration of fibre-optic components to allow for low-loss interconnections of multiple radar sensors are targeted innovations in this project.