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 …

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 …

The rapid development of in-vehicle networks and protocols brings efficient communication
service but also increases the risk of attack. Any vulnerability may be leveraged to cause …

There is increasing computational complexity within the connected car, and with the advent
of autonomous vehicles, how do manufacturers test for cyber-security assurance? The fuzz …

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 …

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 …

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 …

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

There is a need for new tools and techniques to aid automotive engineers performing
cybersecurity testing on connected car systems. This is in order to support the principle 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 …