AI4CCAM leverages the potential of AI to create trustworthy and ethical models for predicting the behavior of vulnerable road users in urban environments. Its focus on user acceptance of automated vehicles and ethical dilemmas ensures the development of AI systems that people can trust.
EVENTS seeks to overcome the limitations of current Connected and Automated Vehicles (CAVs) by developing a robust and resilient perception and decision-making system that can manage unexpected “events” like adverse weather/light conditions, unstructured road environment, imperfect data, sensor/communication failures, etc., ensuring continuous safe operation in dynamic environments.
FRODDO is a pioneering research and innovation project funded by the European Union, designed to propel the evolution of connected and automated mobility (CCAM). With the rise of autonomous vehicle technologies, the need for integrated, fail-safe systems that can adapt to various environmental, traffic, and operational conditions has never been greater. FRODDO addresses this challenge by developing a comprehensive suite of methods and tools based on the principles
HEIDI is breaking new ground by designing a cooperative HMI that connects drivers and pedestrians in dangerous situations. With internal and external HMIs, HEIDI adapts in real time to the behaviors and needs of drivers and VRUs.
SOTERIA project aims to accelerate the attainment of the EC’s ‘Vision Zero’ goal for vulnerable road users (VRUs) by providing a holistic framework of innovative tools and services. Project partners are committed to designing solutions that promote and achieve safe and green travelling of VRUs, foster integration of electric micro-mobility vehicles in urban environments and enable more inclusive transport.
