Challenges in ADS Validation
Automated Driving Systems must operate reliably across an almost infinite set of driving conditions, including rare and unpredictable events. Current validation methodologies are not sufficient to guarantee safety due to limitations in coverage, reproducibility, and scalability.
The inability to systematically test edge cases—such as sensor failures, unexpected road behaviors, or degraded positioning—represents a major barrier to certification and large-scale deployment.
Objectives
Project Objectives
P-CAR aims to define and implement a next-generation validation framework capable of addressing the complexity of ADS systems.
- Develop a scalable and modular validation infrastructure
- Enable systematic testing of edge cases and safety-critical scenarios
- Integrate simulation and real-world testing into a unified workflow
- Support certification processes through standardized validation methodologies
- Reduce validation costs and accelerate industrial deployment
Technical Approach
Hybrid Validation Framework
The P-CAR approach is based on the integration of multiple validation domains within a unified architecture. The Everything-in-the-Loop paradigm ensures continuity between simulation and physical testing environments.
A key element is the use of Digital Twins, which replicate real-world environments and system behavior, enabling controlled experimentation and scenario replay.
Core Innovations
Technological InnovationsThe project introduces several key innovations:
- Advanced scenario generation and orchestration tools
- Real-time sensor data emulation and fusion
- Fault injection mechanisms to simulate system degradations
- Distributed cloud-based simulation infrastructure
- AI-driven validation metrics and performance indicators
Expected Outcomes
Impact and Results
P-CAR will deliver a robust validation ecosystem supporting the certification and deployment of automated driving technologies. The outcomes will contribute to safer mobility, reduced development cycles, and stronger European competitiveness in the autonomous driving sector.
ESA Support
ESA Programme
The project is supported by the European Space Agency (ESA), leveraging satellite-based technologies such as Galileo GNSS to enhance positioning accuracy and reliability in safety-critical applications.
