Decision-making is a crucial task for autonomous driving. Taking thewrong decision might
cause a cartographical accident. Decision-making impliesplanning the appropriate behavior …

Considering the major participants in the automotive industry, it is hard to find one without
development connected to autonomous driving. This study provides insight to our work we …

In safety-critical systems such as autonomous driving systems, behavior planning is a
significant challenge. The presence of numerous dynamic obstacles makes the driving …

Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …

In this paper, we propose a novel planning framework that can greatly improve the level of
intelligence and driving quality of autonomous vehicles. A reference planning layer first …

In behavior planning for autonomous vehicles, other traffic participants have to be
considered. This is typically achieved by using a prediction model to estimate their future …

This thesis presents a behavior planning algorithm for automated driving in urban
environments with an uncertain and dynamic nature. The uncertainty in the environment …

Trajectory planning is one of the key and challenging tasks in autonomous driving. This
paper proposes a novel method that dynamically plans trajectories, with the aim to achieve …

Efficient behavior and trajectory planning is one of the major challenges for automated
driving. Especially intersection scenarios are very demanding due to their complexity arising …

Self-driving vehicles will soon be a reality, as main automotive companies have announced
that they will sell their driving automation modes in the 2020s. This technology raises …