No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …

Artificial Intelligence (AI) can enable the development of next-generation autonomous safety-
critical systems in which Machine Learning (ML) algorithms learn optimized and safe …

Autonomous driving systems have witnessed significant development during the past years
thanks to the advance in machine learning-enabled sensing and decision-making …

When will automated vehicles come onto the market? This question has puzzled the
automotive industry and society for years. The technology and its implementation have …

Verification and validation (V&V) hold a significant position in the research and development
of automated vehicles (AVs). Current literature indicates that different V&V techniques have …

Automatic cruise control of a platoon of multiple connected vehicles in an automated
highway system has drawn significant attention of the control practitioners over the past two …

As the complexity of autonomous vehicles (AVs) continues to increase and artificial
intelligence algorithms are becoming increasingly ubiquitous, a novel safety concern known …

Automated Driving Systems (ADS) require extensive evaluation to assure acceptable levels
of safety before they can operate in real-world traffic. Although many tools are available to …

Objective: In order to introduce automated vehicles on public roads, it is necessary to ensure
that these vehicles are safe to operate in traffic. One challenge is to prove that all physically …

The roundabout is a typical changeable, interactive scenario in which automated vehicles
should make adaptive and safe decisions. In this article, an optimization embedded …