Autonomous cars have to navigate in dynamic environment which can be full of
uncertainties. The uncertainties can come either from sensor limitations such as occlusions …

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 …

Safe and efficient robot manipulation in uncertain clustered environments has been
recognized to be a key element of future intelligent industrial robots. Unlike traditional robots …

Recently significant progress has been made in vehicle prediction and planning algorithms
for autonomous driving. However, it remains quite challenging for an autonomous vehicle to …

Decision-making in uncontrolled intersection is one of the main challenges in urban
autonomous driving. This paper proposed a new decision-making framework in uncontrolled …

Conventional layered planning architecture temporally partitions the spatiotemporal motion
planning by the path and speed, which is not suitable for lane change and overtaking …

The capabilities of automated vehicles have increased over the last years, and different
driving strategies have shown promising results on a variety of scenarios. However, there …

Efficient intersection planning is one of the most challenging tasks for an autonomous
vehicle at present. Politeness to other traffic participants and reaction to surrounding …

Before autonomous vehicles are widely spread, they will share the roads with non-
autonomous cars. Furthermore, to ensure functional safety of the self-driving cars, the cause …

It seems that autonomous driving systems are substituting human responsibilities in the
driving task. However, this does not mean that vehicles should not interact with their driver …