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Author

R. Donà

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Preprint Aug 2026

Beyond the Proving Ground: Independent Public-Road Testing of Assisted Lane Change Systems using LiDAR

Testing of commercial Advanced Driver Assistance Systems is essential to ensure safety and compliance during type approval and in service operation. However, proving ground scenarios may not reflect real world driving complexity, while geo fencing can require manufacturer collaboration and limit assessment independence...

Marcello Cellina, A. Kriston, Antonio Migneco et al. · 0 citations
Preprint Sep 2026

Combining Evasive and Braking Reactions for Safety Reference Models in Automated Vehicles

A hybrid Fuzzy-Safety Model (FSM-H) that integrates longitudinal mitigation and lateral avoidance within a unified behavioral framework is proposed, providing a transparent and explainable human reference model suitable for simulation-based ADS safety benchmarking and regulatory assessment.

R. Donà, K. Mattas, B. Ciuffo · 0 citations
Preprint Sep 2026

Using Automated Vehicles Operational Data to Confirm Safety and Anticipate Threats

European Union (EU) policymakers adopted revolutionary data collection provisions for Automated Driving Systems (ADS) in the recently approved regulation that allows driverless vehicles to be operated on public roads. The framework is inspired by best practices developed at the United Nations Economic Commission for Eu...

R. Donà, Espedito Rusciano, G. Trentadue et al. · 0 citations
Preprint Sep 2026

Virtual Testing of Automated Driving Systems through Credible Simulations

Simulation is increasingly used to support safety-related decision-making in road transport, particularly for the assessment and approval of automated driving systems (ADS). The complexity of ADS behavior and size of their operational design domains make exclusive reliance on physical testing impractical, leading to ex...

R. Donà, Espedito Rusciano, B. Ciuffo · 0 citations

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