Trustworthy Cellular Positioning for Automated Safety

Research Project, 2027 – 2028

Future self-driving and connected vehicles will rely on digital roadside infrastructure to know exactly where they are, especially in busy cities. But today’s positioning systems can fail in the places where safety matters most, such as crowded intersections, narrow streets between tall buildings, or when pedestrians and cyclists are hidden from view. Even more concerning, these errors are not always detected, which can create dangerous situations for automated vehicles. This project aims to make vehicle positioning more trustworthy by using cellular signals from roadside infrastructure to support localization. The research will investigate how urban environments and faulty measurements affect positioning accuracy, and develop intelligent methods that can both improve location estimates and recognize when they are unreliable. By combining wireless sensing, AI, and transport technology, the project will help create safer and more dependable automated transport systems for future smart cities.