To reduce the number of collision fatalities at crossroads intersections, many countries have
started replacing intersections with non-signalized roundabouts, forcing the drivers to be …

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 …

An essential and challenging task for autonomous vehicles (AVs) is turning at mixed-flow
intersections when they interact with motorized, non-motorized and pedestrian traffic …

Even for a human driver, urban intersections represent probably the most difficult scenarios,
in which the driver could be overloaded by understanding the traffic rules, predicting the …

Turning behaviour is one of the most challenging driving manoeuvres that take place at
intersections. Autonomous vehicles (AVs) are often overly conservative in these scenarios …

Motion planning at urban intersections that accounts for the situation context, handles
occlusions, and deals with measurement and prediction uncertainty is a major challenge on …

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 …

The deployment of connected, automated vehicles (CAVs) provides the opportunity to
enhance the safety and efficiency of transportation systems. However, despite the rapid …

In this article, we present an efficient planning system for automated vehicles in highly
interactive environments (EPSILON). EPSILON is an efficient interaction-aware planning …

The ability of autonomous vehicles to successfully replace human drivers depends on their
capability to plan safe, efficient and usable paths in dynamically evolving traffic scenarios …