In highway driving scenarios it is important for highly automated driving systems to be able
to recognize and predict the intended maneuvers of other drivers in order to make robust …

Performing safe and efficient lane changes is a crucial feature for creating fully autonomous
vehicles. Recent advances have demonstrated successful lane following behavior using …

To fulfill high-level automation, an automated vehicle needs to learn to make decisions and
control its movement under complex scenarios. Due to the uncertainty and complexity of the …

Originally, decision and control of the lane change of the vehicle is on the human driver. It is
mainly used to increase the individual's benefit such as decreasing travel time. However, the …

Intersections are considered one of the most complex scenarios in a self-driving framework
due to the uncertainty in the behaviors of surrounding vehicles and the different types of …

Cooperative driving behavior is essential for driving in traffic, especially for ramp merging,
lane changing or navigating intersections. Autonomous vehicles should also man-age these …

There have been explosive developments in automatic driving in recent years. Several kinds
of self-driving vehicles have been introduced, but drivers are generally required to stay alert …

Microscopic modeling of human driving consists generally in combining both car-following
and lane-change models. While the human car-following process has been extensively …

Predicting lane-changing intentions has long been a very active area of research in the
autonomous driving community. However, most of the literature has focused on individual …

Lane changing systems have consistently received attention in the fields of vehicular
communication and autonomous vehicles. In this paper, we propose a lane change system …