AWARE2ALL aims to pave the way towards the deployment in traffic of highly automated vehicles (HAV) – Connected and Automated Vehicles (CAVs) presenting SAE-L4 features – by effectively addressing the changes in road safety and in the interaction of different human road users (HRUs) caused by the emergence of HAV.
The project will develop safety systems adapted to these new scenarios in mixed traffic along with the corresponding assessment tools and methodologies. Two perspectives are considered:
14 / 11 / 24
Crash protection will be one of the 4 main focus points of the future EuroNCAP assessment plan due to raising requirements for the occupants’ safety as well as more sophisticated passive safety systems. To assess the performance of passive safety systems the vehicle size, the structural design and the restraint systems are crucial. Assuming a […]
25 / 10 / 24
One of the critical challenges in autonomous driving and AI-based systems is the lack of diverse and representative datasets. Existing datasets often fail to reflect the broad range of pedestrians found in real-world scenarios—especially underrepresented groups such as people with disabilities or individuals from various ethnic minorities. This gap in representation can lead to the […]
27 / 09 / 24
The primary goal of AWARE2ALL is to tackle the new safety issues that arise with the introduction of highly autonomous vehicles in mixed traffic environments. This will be achieved by developing inclusive and innovative safety systems (both passive and active) and Human-Machine Interaction (HMI) systems, both external and internal. These systems will consider the diverse […]
