Imagine trying to teach a car to drive by only using a few real roads; it would take forever to see every possible accident scenario. This project creates a giant digital library of both real and computer-generated traffic situations. It's like a flight simulator for cars that lets developers test their software against millions of tricky urban and rural scenarios without risking lives on the street.
Validating autonomous vehicles requires hundreds of millions of test kilometers, which is too expensive and slow. Current scenario databases are fragmented and lack common standards, hindering the scale of deployment.
A European Scenario Dataspace and a Marketplace for scenario creation tools. It integrates multiple existing databases into one interoperable platform.
If you are a vehicle manufacturer dealing with the massive cost of driving millions of test kilometers — this project developed a Scenario Dataspace that allows virtual testing and validation of autonomous systems. This reduces the time and money spent on physical road tests.
If you are a simulation tool provider dealing with fragmented and non-standardized data — this project developed a Marketplace for scenario creation and processing tools. This ensures your tools are compatible with European standards like ASAM OpenSCENARIO.
If you are a road authority dealing with regulatory ambiguity regarding autonomous vehicle safety — this project developed a Safety Assurance Framework. This provides a standardized way to verify that automated systems are safe for public urban and rural roads.
Based on available project data, the specific pricing model is not mentioned, but the project aims to establish an open and sustainable platform for sharing scenarios.
Yes, the project is building a federated and scalable platform designed to integrate existing and new data sources across Europe.
Based on available project data, the platform is aligned with GDPR and the AI Act, focusing on a trustworthy and harmonized way to share data, though specific licensing terms are not detailed.
The platform is fully aligned with the AI Act, GDPR, and international standards such as ISO 34503 and ASAM OpenSCENARIO.
The project period runs from 2024-06-01 to 2027-05-31, suggesting the final platform will be ready by mid-2027.
The consortium is heavily industry-driven with a 49% industry ratio, comprising 18 industrial partners and 8 SMEs across 12 countries. This strong commercial presence, led by IDIADA Automotive Technology, ensures that the resulting Scenario Dataspace and Marketplace are designed for real-world commercial utility rather than just academic research.
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Contact us to identify which of the 37 partners can provide specific scenario data for your CCAM validation needs.
