Imagine a self-driving car that only knows how to drive in sunny weather on clear roads. This project creates a digital map and communication system that tells the car exactly what the road conditions are in real-time. It acts like a smart bridge between the vehicle and the city's road managers to keep everyone safe. This ensures the car doesn't get confused when it hits a complex intersection or unexpected weather.
Autonomous vehicles are limited by their Operational Design Domain (ODD), meaning they cannot drive everywhere safely. There is currently a gap in communication between the vehicles' technical limits and the road operators who manage the infrastructure.
A suite of methods and tools using federated Digital Twins, hybrid AI, and advanced sensing to manage and expand the operational boundaries of autonomous vehicles.
If you are an autonomous vehicle developer dealing with strict limits on where your cars can drive — this project developed tools based on hybrid AI and simulation that expand the operational boundaries of the vehicle. This allows your cars to handle more complex road contexts safely.
If you are a road operator dealing with a lack of knowledge about the different technical specs of autonomous fleets on your roads — this project developed a federated digital twin environment. This provides a way to manage the physical and digital infrastructure to boost proactive safety.
If you are a software provider dealing with unpredictable vehicle-to-infrastructure interactions — this project developed a suite of methods using advanced sensing and ML. This helps create a seamless flow of data and decisions between the road and the vehicle.
Based on available project data, there is no information regarding the commercial cost or pricing models for the developed tools.
The project involves 19 partners across 10 countries, including 9 industry players, suggesting a design intended for wide-scale European road infrastructure.
Based on available project data, specific IP and licensing terms are not disclosed in the project summary.
The project focuses on safe system design and ODD continuity to ensure the safety and performance of CCAM services within road environments.
The project period runs from 2024-06-01 to 2027-05-31, indicating that results will be finalized by mid-2027.
The consortium is heavily weighted toward industrial application, with 9 industry partners (47% ratio) and 5 SMEs. This strong private-sector presence, combined with 4 universities and 2 research centers across 10 countries, indicates a high likelihood of the results being geared toward commercial viability rather than just academic research.
Contact the European Road Transport Telematics Implementation Coordination Organisation (BE)
Contact us to connect with the FRODDO consortium for early access to ODD management tools.
