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 …

Autonomous driving holds great potential for reducing traffic accidents. Despite many
advancements in autonomous vehicle functions, challenges persist in assessing their safety …

Explainable artificial intelligence (XAI) is gradually becoming a key component of many
artificial intelligence systems. However, such pursuit of transparency may bring potential …

Scenario generation is one of the essential steps in scenario-based testing and, therefore, a
significant part of the verification and validation of driver assistance functions and …

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. Most existing testing approaches consist in …

To successfully launch automated vehicles into the consumer market, there must be credible
proof that the vehicles will operate safely. However, finding a method to validate the …

Verification and validation are major challenges for developing automated driving systems.
A concept that gets more and more recognized for testing in automated driving is scenario …

Innovative testing and validation methods are prerequisites concerning Connected,
Cooperative, and Automated Mobility (CCAM), as the high number of cooperating …