Planning and decision-making technology at intersections is a comprehensive research
problem in intelligent transportation systems due to the uncertainties caused by a variety of …

Advanced Driver-Assistance Systems (ADASs) are currently gaining particular attention in
the automotive field, as enablers for vehicle energy consumption, safety, and comfort …

In this paper, we present a bilevel, model predictive controller for coordination of automated
vehicles at intersections. The bilevel controller consists of a coordination level, where …

This study constructs a decision-making control framework for autonomous ego vehicles
(AEVs) based on Soft Actor-Critic (SAC) in a random driving task scenario at an …

We propose a Stochastic MPC (SMPC) formu-lation for autonomous driving at traffic
intersections which incorporates multi-modal predictions of surrounding vehicles given by …

This paper presents a motion-planning framework for urban autonomous driving at
uncontrolled intersections. The intention and future state of the target vehicles are predicted …

Left turning at unsignalized intersectionis one of the most challenging tasks for urban
automated driving, due to the various shapes of intersections and rapidly changing nature of …

Decision-making in uncontrolled intersection is one of the main challenges in urban
autonomous driving. This paper proposed a new decision-making framework in uncontrolled …

The development of autonomous vehicles has shown great potential to enhance the
efficiency and safety of transportation systems. However, the decision-making issue in …

We propose a fully distributed control system architecture, amenable to in-vehicle
implementation, that aims to safely coordinate connected and automated vehicles (CAVs) at …