Autonomous, or self-driving, cars are emerging as the solution to several problems primarily
caused by humans on roads, such as accidents and traffic congestion. However, those …

Automated driving is a promising tool for reducing traffic accidents. While some companies
claim that many cutting-edge automated driving functions have been developed, how to …

Automated Driving Systems (ADS) have made great achievements in recent years thanks to
the efforts from both academia and industry. A typical ADS is composed of multiple modules …

Automated and autonomous driving systems (ADS) are a transformational technology in the
mobility sector. Current practice for testing ADS uses virtual tests in computer simulations; …

Autonomous Driving Systems (ADSs) are promising, but must show they are secure and
trustworthy before adoption. Simulation-based testing is a widely adopted approach, where …

The oracle problem is a key issue in testing Autonomous Driving Systems (ADS): when a
collision is found, it is not always clear whether the ADS is responsible for it. Our recent …

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 (ADS) are safety-critical and require comprehensive testing
before their deployment on public roads. While existing testing approaches primarily aim at …

Autonomous Driving Systems (ADS) are complex critical systems that need to be thoroughly
tested. Still, assessing the strength of tests for such systems is an open and complex …

Testing of Autonomous Driving Systems (ADSs) is of paramount importance. However, ADS
testing raises several challenges specific to the domain. Typical testing (coverage criteria …