Project portfolio

Research area (field_research_area)
 

PREDICTIVE THREAT ASSESSMENT FOR ENHANCED STABILITY OF MULTI-UNIT HEAVY VEHICLES 

The objective of this research project is to improve the effectiveness of Advanced Driver Assistance Systems (ADAS) for Multi-Unit Heavy Vehicles (MHVs), by providing them with tools that enable earlier, more effective, and
 

Injury HBM, step 5

Full title: Enhancing Female and Male SAFER HBM Torso Injury Prediction (I-HBM V) Abstract: Expecting a greater variation in occupant sitting postures and activities in future vehicles, continued development of occupant
 

SAFER HBM Neck Injury Prediction

Full title: Advancing Neck Injury Prediction in Car Crashes using the SAFER HBM Abstract: The cervical spine (neck) is a complex body region that can be exposed to a variety of injury consequences, ranging from high severity
 

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
 

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
 

ASSERTED

Assuring Safety for Rapid and Continuous Deployment for Autonomous Driving (ASSERTED) The researchers will look into how safety argumentation of an AD system can be systematically and verifiably modelled for continuous