With a model predictive control approach and to set the motion trajectory for an autonomous
vehicle in situations where emergency braking cannot be performed, in this paper, we …

An approach for automated driving in highway scenarios in the context of a two levels
hierarchical architecture is proposed. In particular, we define suitable artificial potential …

The field of autonomous driving is rapidly expanding and extensive research is conducted in
this field. Many of the autonomous functions may be simplified to the desire to follow a path …

To address the issues of control stability and safety in autonomous vehicles, this study
focuses on research related to Model Predictive Control (MPC) algorithms and algorithm …

In this paper, we quantify the impacts of model fidelity on the effectiveness of trajectory
optimization for autonomous vehicles when driving at the limits of friction through …

Autonomous vehicle technology provides the means to optimize motion planning beyond
human capacity. In particular, the problem of navigating multi-lane traffic optimally for trip …

Autonomous driving vehicles and the control system design have been undergoing rapid
changes in the last decade and affecting the concept and behaviour of human traffic …

Trajectory planning is a crucial component of autonomous driving systems. However, using
simple vehicle models for trajectory planning may result in unrealistic reference trajectories …

The safe and reliable operation of autonomous and semi-autonomous vehicles in public
traffic requires the tight integration of environmental sensing and vehicle dynamics control …

Thanks to their road safety potential, automated vehicles are rapidly becoming a reality. In
the last decade, automated driving has been the focus of intensive automotive engineering …