Next generation urban road usage charging systems utilize GNSS based vehicle detection. Project aims to develop system resiliency against GNSS signal disruptions to ensure robust and accurate vehicle positioning for charging. The project focuses on development of data driven tools to support planning and management of new and existing charging points. Another objective is to design a cost-effective framework to detect malicious activities including jamming, blocking and spoofing of the GNSS signals. Furthermore, it aims to achieve robust and accurate vehicle positioning by leveraging on existing sensors and AI techniques to improve positioning in GNSS challenged environments. Additionally, the project explores the use of cost-effective beacons to enable V2X communication to enhance system resilience and accuracy.

• Strong software development skills in C++ and Python. Hands-on experience with system design, ...