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 …

One of the aims of the development and spread of autonomous driving technology is to
reduce traffic accidents caused by human factors. But recently reported data on fatal …

Simulation-based testing is a popular approach for testing autonomous driving systems
(ADS), in which different types of scenario are designed to test the ADS under different …

With the rapid development of autonomous driving systems (ADSs), testing ADSs under
various environmental conditions has become a key method to ensure the successful …

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

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 …

Autonomous driving has shown great potential to reform modern transportation. Yet its
reliability and safety have drawn a lot of attention and concerns. Compared with traditional …

Autonomous driving systems (ADS) are safety-critical systems that require thorough testing
to ensure their safety. Current testing methods for ADS primarily focus on finding crash …

Autonomous Driving Systems (ADSs) are safety-critical systems, and safety violations of
Autonomous Vehicles (AVs) in real traffic will cause huge losses. Therefore, ADSs must be …

Typical approaches to test Autonomous Driving Systems (ADS) generate tests in a
simulation environment. A common goal in ADS testing is to find scenarios in which the car …