17 citations · 17 across the 5 of their papers we have counts for
5 papers
Automatic Testing of Interacting Autonomous Vehicles
Fabio Cavaleri, Alessio Gambi, Paolo Arcaini +2
Autonomous vehicles (AVs) must be thoroughly tested to meet high safety standards and avoid endangering both AV passengers and road users. Scenario-based testing implements driving…
E-CoDrive: A Co-Simulation Framework for Testing Energy-Critical Driving Scenarios
Manfredi Napolitano, Alessandra Somma, Alessio Gambi +2
Autonomous driving research has largely focused on safety while giving limited attention to non-functional aspects such as energy consumption and sustainability. As Autonomous Elec…
Declarative Scenario-based Testing with RoadLogic
Ezio Bartocci, Alessio Gambi, Felix Gigler +2
Scenario-based testing is a key method for cost-effective and safe validation of autonomous vehicles (AVs). Existing approaches rely on imperative scenario definitions, requiring d…
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
Yuan Gao, Mattia Piccinini, Yuchen Zhang +12
For autonomous vehicles, safe navigation in complex environments depends on handling a broad range of diverse and rare driving scenarios. Simulation- and scenario-based testing hav…
MultiDrive: A Co-Simulation Framework Bridging 2D and 3D Driving Simulation for AV Software Validation
Marc Kaufeld, Korbinian Moller, Alessio Gambi +2
Scenario-based testing using simulations is a cornerstone of Autonomous Vehicles (AVs) software validation. So far, developers needed to choose between low-fidelity 2D simulators t…