The autonomous driving industry has mushroomed over the past decade. Although
autonomous driving has undoubtedly become one of the most promising technologies of this …

Planning is an essential topic in the realm of automated driving. Besides planning
algorithms that are widely covered in the literature, planning requires different software tools …

With autonomous vehicles (AV) set to integrate further into regular human traffic, there is an
increasing consensus of treating AV motion planning as a multi-agent problem. However …

Rapid advances in every sphere of autonomous driving technology have intensified the
need to be able to benchmark and compare different approaches. While many …

Manually specifying features that capture the diversity in traffic environments is impractical.
Consequently, learning-based agents cannot realize their full potential as neural motion …

With the increasing need for greater flexibility and intelligence of robotic and autonomous
systems (RAS) towards smart manufacturing, this paper aims to present a comprehensive …

To drive in complex urban environments, autonomous vehicles need to understand their
driving context. This task, also known as the situation awareness, relies on an internal virtual …

In recent years, there has been enormous public interest in autonomous vehicles (AV), with
more than 80 billion dollars invested in self-driving car technology. However, for the …