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 article proposes a novel cooperative motion planning and decision-making approach
for connected and automated vehicles (CAVs) at unsignalized intersections, where a …

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 …

As vehicle automation advances, motion planning algorithms face escalating challenges in
achieving safe and efficient navigation. Existing Advanced Driver Assistance Systems …

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 …

Even though motion planning for automated vehicles has been extensively discussed for
more than two decades, it is still a highly active field of research with a variety of different …

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 …

Motion planning and control of connected and autonomous vehicles (CAVs) for improving
traffic efficiency and safety in intersections still meets many challenges due to its dynamic …

Connected and automated vehicles (CAVs) have the potential to improve traffic throughput
and achieve a more efficient utilization of the available roadway infrastructure. They also …

Motion planning algorithms for urban automated driving must handle uncertainty due to
unknown intention and future motion of Dynamic Obstacles (DOs). Considering a single …