Stochastic Model Predictive Control (SMPC) has attracted increasing attention for
autonomous driving in recent years, since it enables collision-free maneuvers and trajectory …

We present a fast data-driven model predictive control (MPC) strategy for connected and
automated vehicles, which can ensure collision avoidance in the presence of uncertainty in …

We propose a Stochastic MPC (SMPC) formulation for path planning with autonomous
vehicles in scenarios involving multiple agents with multi-modal predictions. The multi …

Even with recent advances in electronics, sensors, and communication technologies, it is
still a grand challenge to develop an autonomous transportation system in which each …

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 paper, we propose a progressive model predictive control scheme (PMPCS) by
considering the cooperative control of local planning and path tracking for intelligent …

Autonomous vehicle software is typically structured as a modular pipeline of individual
components (eg, perception, prediction, and planning) to help separate concerns into …

Research efforts in both academia and industry connected with the development and
implementation of autonomous driving systems are increasing exponentially in last years …

In this paper we focus on formation control of a fleet of small-size unicycle vehicles with a
distributed control scheme. We propose an approach based on a multi-level distributed …