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 has become real; semi-autonomous driving vehicles in an affordable
price range are already on the streets, and major automotive vendors are actively …

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 …

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 …

Simulation-based virtual testing has become an essential step to ensure the safety of
autonomous driving systems. Testers need to handcraft the virtual driving scenes and …

Testing Autonomous Driving Systems (ADSs) is a critical task for ensuring the reliability and
safety of autonomous vehicles. Existing methods mainly focus on searching for safety …

In an era of connectivity and automation, the vehicle industry is adopting numerous
technologies to transform driver-centric vehicles into intelligent mechanical devices driven …

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 …

Pioneers of autonomous vehicles (AVs) promised to revolutionize the driving experience
and driving safety. However, milestones in AVs have materialized slower than forecast …

Autonomous Vehicles (AVs) leverage advanced sensing and networking technologies (eg,
camera, LiDAR, RADAR, GPS, DSRC, 5G, etc.) to enable safe and efficient driving without …