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 …

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 …

An automated driving system (ADS), as the brain of an autonomous vehicle (AV), should be
tested thoroughly ahead of deployment. ADS must satisfy a complex set of rules to ensure …

Abstract We present AutonoVi-Sim, a novel high-fidelity simulation platform for autonomous
driving data generation and driving strategy testing. AutonoVi-Sim is a collection of high …

Self-driving cars and trucks, autonomous vehicles (av s), should not be accepted by
regulatory bodies and the public until they have much higher confidence in their safety and …

Autonomous Driving Systems (ADSs) are safety-critical, and must be fully tested before
being deployed on real-world roads. To comprehensively evaluate the performance of …

This paper proposes AV-FUZZER, a testing framework, to find the safety violations of an
autonomous vehicle (AV) in the presence of an evolving traffic environment. We perturb the …

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 …

Artificial Intelligence (AI) technologies are increasingly deployed to perform safety-critical
tasks in various systems, including driverless vehicles. Therefore, ensuring the high quality …

Autonomous Driving Systems (ADS) are safety-critical and require comprehensive testing
before their deployment on public roads. Most existing testing approaches consist in …