Interest in autonomous vehicles (AVs) has significantly increased in recent years, but
despite the huge research efforts carried out in the field of intelligent transportation systems …

Full autonomous vehicles for the general public are getting closer every year. Among all the
challenges to overcome, one of them is the acceptance of this technology which translates to …

In the field of motion simulation, the level of immersion strongly depends on the motion
cueing algorithm (MCA), as it transfers the reference motion of the simulated vehicle to a …

This paper presents a path following controller for autonomous vehicles, making use of the
linear time-varying model predictive control (LTV-MPC) framework. The controller takes into …

Off-ramp diverging road segment is the preparation area for vehicles driving away from the
freeway, while it causes more traffic conflicts making it a typical safety bottleneck. Focusing …

Path tracking controller of Autonomous Vehicles (AVs) plays an important role in improving
the dynamic behaviour of the vehicle. Model Predictive Control (MPC) is one the most …

Increasing automation in automotive industry is an important contribution to overcome many
of the major societal challenges. However, testing and validating a highly autonomous …

Efficient path tracking plays a key role in the overall ride experience of Autonomous Vehicles
(AVs). Model Predictive Control (MPC) is one of the most competent techniques which is …

Model Predictive Control (MPC) is a high-performing solution for Autonomous Vehicle's (AV)
control. This technique can tailor balance between various aspects of vehicle dynamics such …

In this article, we propose an optimization-based integrated behavior planning and motion
control scheme, which is an interpretable and adaptable urban autonomous driving solution …