Safety compliance is paramount to the safe deployment of autonomous vehicle (AV)
technologies in real-world transportation systems. As AVs will share road infrastructures with …

Autonomous vehicle (AV) systems must be comprehensively tested and evaluated before
they can be deployed. High-fidelity simulators such as CARLA or LGSVL allow this to be …

Abstract Autonomous Vehicles (AVs) ie, self-driving cars, operate in a safety-critical domain,
since errors in the autonomous driving software can lead to huge losses. Statistically, road …

We investigate a rigorous simulation and testing-based validation method for autonomous
driving systems that integrates an existing industrial simulator and a formally defined testing …

As driving scenarios and autonomous vehicles (AVs) become increasingly intricating, there
is an increasing need for innovative frameworks that can enhance and test AV capabilities …

Autonomous driving systems (ADSs) must be tested thoroughly before they can be deployed
in autonomous vehicles. High-fidelity simulators allow them to be tested against diverse …

Software testing is all too often simply a bug hunt rather than a well-considered exercise in
ensuring quality. A more methodical approach than a simple cycle of system-level test-fail …

Ensuring the safety and robustness of autonomous driving systems (ADSs) is imperative.
One of the crucial methods towards this assurance is the meticulous construction and …

Verifying the safety of autonomous vehicles is one of the major challenges towards their
deployment on public roads due to the vast number of possible situations that can occur in …

Developers of autonomous systems face distinct challenges in conforming to established
methods of validating safety. It is well known that testing alone is insufficient to assure safety …