The large-scale deployment of automated vehicles on public roads has the potential to
vastly change the transportation modalities of today's society. Although this pursuit has been …

Trajectory planning and trajectory tracking constitute two important functions of an
autonomous overtaking system and a variety of strategies have been proposed in the …

This paper presents a novel integrated approach to deal with the decision making and
motion planning for lane-change maneuvers of autonomous vehicle (AV) considering social …

Intelligence in vehicles has developed through the years as self-driving expectations and
capabilities have increased. To date, the majority of the literature has focused on …

Autonomous decision making is a critical and difficult task for intelligent vehicles in dynamic
transportation environments. In this paper, a reinforcement learning approach with value …

Recently, improvements in sensing, communicating, and computing technologies have led
to the development of driver-assistance systems (DASs). Such systems aim at helping …

This paper examines the potential effectiveness of the following three precollision system
(PCS) algorithms: 1) forward collision warning only; 2) forward collision warning and …

This paper describes an integrated Bayesian approach to maneuver-based trajectory
prediction and criticality assessment that is not limited to specific driving situations. First, a …

Connected and automated vehicles (CAVs) enabled by wireless communication and vehicle
automation are believed to revolutionize the form and operation of road transport in the next …

The Stadtpilot project aims at fully automated driving on Braunschweig's inner city ring road.
The TU Braunschweig's research vehicle “Leonie” is one of the first vehicles having the …