This paper provides a literature review of some of the most important concepts, techniques,
and methodologies used within autonomous car systems. Specifically, we focus on two …

With the objective to improve road safety, the automotive industry is moving toward more
“intelligent” vehicles. One of the major challenges is to detect dangerous situations and react …

Reliable prediction of surround vehicle motion is a critical requirement for path planning for
autonomous vehicles. In this paper, we propose a unified framework for surround vehicle …

Lane changing is a critical task for autonomous driving, especially in heavy traffic. Numerous
automatic lane-changing algorithms have been proposed. However, surrounding vehicles …

Despite the advancements in the technologies of autonomous driving, it is still challenging to
study the safety of a self-driving vehicle. Trajectory prediction is one core function of an …

The recent progress in autonomous vehicle research and development has led to
increasingly widespread testing of fully autonomous vehicles on public roads, where …

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

Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper
awareness of the traffic context, as well as the driver status since ADAS share the vehicle …

By interpreting a traffic scene as a graph of interacting vehicles, we gain a flexible abstract
representation which allows us to apply Graph Neural Network (GNN) models for traffic …

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 …