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 …

In this review, we provide an overview of emerging trends and challenges in the field of
intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of …

Autonomous vehicles interacting with other traffic participants heavily rely on the perception
and prediction of other agents' behaviors to plan safe trajectories. However, as occlusions …

Autonomous vehicles (AVs) are the next-generation driver-less vehicular entities with
advanced technologies. Overtaking is an important and challenging maneuver that needs to …

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 …

Recent road trials have shown that guaranteeing the safety of driving decisions is essential
for the wider adoption of autonomous vehicle technology. One promising direction is to pose …

Robots in complex multi-agent environments should reason about the intentions of observed
and currently unobserved agents. In this paper, we present a new learning-based method …

Autonomous driving is among the most promising of upcoming traffic safety technologies.
Prototypes of autonomous vehicles are already being tested on public streets today …

Autonomous vehicles face big challenges guaranteeing provable safety during driving. One
of the major problems is the uncertainty arising from the perception of the surrounding …

In this article we present a trajectory generation method for autonomous overtaking of
unexpected obstacles in a dynamic urban environment. In these settings, blind spots can …