Automated vehicles are increasingly getting main-streamed and this has pushed
development of systems for autonomous manoeuvring (eg, lane-change, merge, and …

In this study, an obstacle avoidance controller based on nonlinear model predictive control
is designed in autonomous vehicle navigation. The reference trajectory is predefined using …

In many multirobot applications, planning trajectories in a way to guarantee that the
collective behavior of the robots satisfies a certain high-level specification is crucial …

This paper develops a new constrained model predictive control for a dynamic path tracking
of an off-road mobile robot with a double steering axle. The controller is based on a dynamic …

Trajectory planning is challenging for autonomous cars since they operate in unpredictable
environments with limited sensor horizons. To incorporate new information as it is sensed …

In this paper, we tackle the problem of trajectory planning and control of a vehicle under
locally varying traction limitations, in the presence of suddenly appearing obstacles. We …

Previous work by the authors focused on obstacle avoidance in large, high-speed
autonomous ground vehicles within unknown and unstructured environments. This work …

This paper presents a framework of shared steering control for vehicle obstacle avoidance,
which is combined with the driver's driving intention and risk assessment. The driving …

Reliable and efficient overtaking maneuvers are important and challenging for autonomous
vehicles. Higher precision position information is thus required, rather than that traditional …

In this paper, we propose a two-layer overtaking control framework of the autonomous
electric ground vehicle, including trajectory planning and tracking control. In the upper layer …