Early work on autonomous vehicles can be traced back to work on autonomous operation of
mobile robots motivated by the need to use such devices in unmanned space exploration …

Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

Computer simulation based on digital twin is an essential process when designing self-
driving cars. However, designing a simulation program that is exactly equivalent to real …

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 …

Commercialization of autonomous vehicle technology is a major goal of the automotive
industry, thus research in this space is rapidly expanding across the world. However, despite …

Simulation is a cornerstone of autonomous driving efforts, allowing testing to occur more
rapidly and with significantly less risk than is possible with hardware platforms alone …

End-to-end approaches to autonomous driving have high sample complexity and are difficult
to scale to realistic urban driving. Simulation can help end-to-end driving systems by …

Experience from the DARPA Urban Challenge provides details of the types of systems,
software and processes that were used to develop the complex unmanned vehicles that …

In the context of increasing electrification and the automation of future mobility, research and
development of efficient powertrains requires enhanced test methods. One important aspect …

Pioneers of autonomous vehicles (AVs) promised to revolutionize the driving experience
and driving safety. However, milestones in AVs have materialized slower than forecast …