New engineering disciplines such as artificial intelligence have to be introduced in the
course of the development of modern driving assistance systems for autonomous vehicles …

Emerging technologies for connected and automated vehicles (CAVs) are rapidly
advancing, and there is an incremental adoption of partial automation systems in existing …

Driving simulation systems involve a combination of different computation codes. Although
some of these modules are application-specific, their majority is reusable and state-of-the-art …

Current advances in the research field of autonomous driving demand advanced simulation
methods for testing and validation. By combining versatile foci of different simulations, we …

The growing trend towards piloted driving (aka autonomous vehicles) intensifies the
challenges posed by testing even further. Another implication of this trend is that validation …

The number and complexity of newly developed automated driving systems has been
constantly rising over the past decade. Especially the introduction of vehicle-to-everything …

An immense test space is pushing the development and testing of automated driving
functions from real to virtual environments. The virtual world is provided by interconnected …

Advanced Driver Assistance Systems (ADAS) have evolved into comprehensive hardware
and software driven components with exponentially growing complexity. Model-Based …

The adoption of connected vehicle (CV) technology is anticipated at various levels of
development and deployment over the next decade. One primary challenge with these new …

We propose a cyber-physical platform that combines road traffic simulation, network
simulation, and physically simulated vehicles to facilitate extensive testing on various levels …