Project portfolio
DEEP MULTIMODAL LEARNING FOR AUTOMOTIVE APPLICATIONS
This project aims to create multimodal sensor fusion methods for advanced and robust automotive perception systems. The project will focus on three key areas: (1) Develop multimodal fusion architectures and representations
REALLOCATE - Rethinking how we move
REALLOCATE transforms streets into inclusive, green, safe and future-proof urban spaces, where communities live and thrive. The project enables researchers, mobility experts, urban planners and local citizens to collectively
SCREENS II
Full title: Safe chauffeurs in safe and healthy multimodal driver information environments The Screens II project aims to improve traffic safety by addressing the challenges posed by increased automation in the driver’s
SUperSAFE
Full title: SUrrogate measures for SAFE autonomous and connected mobility SUperSAFE ‘SUrrogate measures for SAFE autonomous and connected mobility’ will address the problem of the safety evaluation of the interaction between
ROADVIEW
Fill title: Robust Automated Driving in Extreme Weather ROADVIEW is an EU-funded Horizon Europe Innovation Action aiming to develop robust and cost-efficient in-vehicle perception and decision-making systems for connected and
AfroSAFE
Safe System for radical improvement of road safety in low- and middle-income African countries The Problem Despite accommodating only 4% of the global motor vehicle fleet, African roads witness more than 10% of the world’s