Autonomous vehicles that travel without considering the lane marks and utilizing all road
width have an opportunity to maximize the use of vehicles' performance. By taking …

This paper investigates intersection control of multiple vehicles using a Model Predictive
Control (MPC) framework. Vehicles follow pre-defined paths across the intersection and …

In order to generate favorable trajectories, road users need to cope with interaction among
them, especially in dense traffic. Thus, for autonomous cars, the intention of involved …

Motion planning is an essential element of the modular architecture of autonomous vehicles,
serving as a bridge between upstream perception modules and downstream low-level …

A multimode hybrid automaton is proposed for setting vehicle platoon modes with velocity,
distance, length, lane position, and other state information. Based on a vehicle platoon shift …

It is hard to find the global optimum of general nonlinear and nonconvex optimization
problems in a reasonable time. This article presents a method to transfer the receding …

This paper investigates a method for pose control of multiple nonholonomic vehicles using
time-optimal control in a Model Predictive Control (MPC) framework. The vehicles are …

This paper considers computationally efficient planning of reference trajectories for
autonomous on-road vehicles in a cooperative setting. The basic element of the approach is …

Centralized decision-making for a Networked Control System (NCS) suffers from a high
computational burden on the planning agent. Distributed agents, which compute distributed …

This article examines probabilistic trajectory forecasting methods of vulnerable road users
(VRU) for the motion planning of autonomous vehicles. The future trajectories of a cyclist are …