September 2, 2024
PhD thesis defense to be held on September 2, 2024, at 14:30 (Virtually)
Hardware-Software Co-Design of Deep Learning Accelerators: From Custom to Automated Design Methodolo...
Hardware-Software Co-Design of Deep Learning Accelerators: From Custom to Automated Design Methodolo...
A Hybrid Framework for the Cyber Resilience Enhancement of Frequency Control in Smart Grids
Photon Propagation inside highly Scattering Media. Dynamic Radiative Transfer System
Hydrogen production from water at temperatures below 300°C using magnetite and Lorentz forces
Out-of-distribution robustness in mission-critical computer vision applications
Circuit and Systems Architectures and Performance Evaluation of AMR Magnetometers
Knowledge Extraction and Security in Internet of Things Systems
Integrated Circuit Architectures for Classical and Neural Computing with Applications in Artificial ...
Design and implementation of digital signal processing algorithms and optical circuits in 5G optical...
HeERO focused on preparing the field for the pan-European in-vehicle emergency call service“eCall” based on 112/E112, the single European Emergency number. The main objectives of HeERO were to define operational and functional requirements needed to upgrade all eCall related service-chain parts (PSAPs-integrated rescue systems, telecommunication-112/E112, etc.) to handle eCall, to implement available Pan-European eCall related European standards and to implement needed technical and operational infrastructure upgrades in each participating country, to assess the operation of the installed PSAPs via a common certification procedure and to produce recommendations for future eCall pre-deployment and deployment activities in Europe.
CityMobil2 has set up a pilot platform for automated road transport systems (ARTS), which have been implemented in several urban environments across Europe. Automated transport systems are deemed to play a useful role in the transport mix as they can supply a good transport service (individual or collective) in areas of low or dispersed demand complementing the main public transport network, especially facilitating last mile transportation at minimum cost and most importantly achieving high safety levels.
AutoNet2030 is developing and testing a co-operative automated driving technology, based on a decentralised decision-making strategy which will be enabled by mutual information sharing among nearby vehicles. The project is exploring a strategy to support the gradual introduction of fully automated driving systems (by the horizon of 2030) investing effort on the convergence of communications, perception and distributed control algorithms.