CyberMAP – Results from a Research Initiative on Trusted Positioning for Autonomous Vehicles

A central focus of the project has been the development and evaluation of infrastructure markers—geo-referenced, machine-readable visual patterns that augment traditional GNSS-based localization. These markers provide an additional layer of verification, particularly valuable in environments where satellite signals are limited or unreliable.

Key Results:

• Design and prototype validation of infrastructure markers across varied
  environmental conditions (e.g., lighting, weather, distance)
   
• Simulated and real-world testing conducted at AstaZero (Sweden) and Penn
  State University (USA)
   
• Analysis of detection performance and positioning trace consistency to
  assess localization robustness
   
• A major outcome of the project is the submission of the paper:
  “Markers for Automated Vehicles: Technologies, Applications, and Future
  Directions” to IAVVC 2025, presenting findings, challenges, and future research directions in the domain.

The image illustrates a portion of the simulation-based evaluation:

• A rendered test scenario featuring an infrastructure marker, used to assess detection under controlled conditions
   
• A geospatial visualization of detection events at the AstaZero proving
  ground. Blue and orange points indicate consistent marker-based localization
  across test runs
   
• Real-time filtered GNSS position data captured during the evaluation

Next Steps:

The prototype system will undergo continued evaluation in real-world driving environments to further assess its robustness, scalability, and integration potential within future automated transport infrastructure.

Innovation projects co-funded by Future Mobility