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 …

Autonomous vehicles are sharing the road with human drivers. In order to facilitate
interactive driving and cooperative behavior in dense traffic, a thorough understanding and …

Automated driving systems need to perform according to what human drivers expect in every
situation. A different behavior can be wrongly interpreted by other human drivers and cause …

For a successful introduction of fully automated vehicles, they must behave both provably
safe but also convenient, ie comfortable and not overcautious. Given the limited sensing …

While motion planning techniques for automated vehicles in a reactive and anticipatory
manner have already been widely presented, cooperative motion planning has only been …

This paper presents a distributed maneuver planner for connected automated vehicles
(CAVs) built upon the idea of CAVs being able to explicitly share their intentions by creating …

While motion planning approaches for automated driving often focus on safety and
mathematical optimality with respect to technical parameters, they barely consider …

We consider the problem of correct motion planning for T-intersection merge-ins of arbitrary
geometry and vehicle density. A merge-in support system has to estimate the chances that a …

Currently, there is a gap in motion planning approaches. On the one hand, there are
optimization-based motion planning techniques which can guarantee safety and feasibility …

Although autonomous vehicle technology has evolved significantly in recent years, the
navigation of self-driving vehicles in complex scenarios is still an open issue. One of the …