CyberMAP Cyber-physical Multi-factor Authentication-based Positioning for Autonomous Vehicles

Important results from the project

CyberMAP has studied machine-readable identifiers (MRIDs) through literature reviews and tests, for the improvement of positioning and safety for autonomous vehicles. The project, carried out in collaboration between AstaZero and Penn State University, shows that MRID technologies can increase robustness and accuracy where GNSS is unreliable. Two scientific publications have been presented at IAVVC25, and the project has contributed to new international research contacts and collaborations.

Expected long term effects

The CyberMAP project is expected to contribute to safer and more robust autonomous transport systems through improved positioning and information exchange between vehicles and infrastructure. The results can pave the way for broader implementation of autonomous vehicles in complex traffic environments and increase road safety. The project´s international collaborations strengthen networks and knowledge exchange, which can lead to continued innovation and standardization in the field.

Approach and implementation

The project was a collaboration between AstaZero and Penn State University. The approach was based on joint planning, regular meetings, and testing activities in both Sweden and the USA. The work included the evaluation of various machine-readable identifiers (MRID) through literature review, simulations, and physical pilot tests. The project followed the planned activities. The collaboration worked well and no major obstacles arose, which contributed to the achievement of the project goals.