Semantic segmentation is a basic task in computer vision, which is widely used in various
fields such as autonomous driving, detection, augmented reality and so on. Recent …

Automated and autonomous vehicles are in an intensive development phase. It is a phase
that requires a lot of modelling and experimental research. Experimental research into these …

Automatic lane-changing is a complex and critical task for autonomous vehicle control.
Existing researches on autonomous vehicle technology mainly focus on avoiding obstacles; …

This paper presents a novel speed tracking control approach based on a model predictive
control (MPC) framework for autonomous ground vehicles. A switching algorithm without …

In order to ensure reliable autonomous driving, the system must be able to detect future
dangers in sufficient time to avoid or mitigate collisions. In this paper, we propose a collision …

This study proposes an effective trajectory planning algorithm based on the quartic Bézier
curve and dangerous potential field for automatic vehicles. To generate collision‐free …

This paper presents a real-time motion planning scheme for urban autonomous driving that
will be deployed as a basis for cooperative maneuvers defined in the European project …

For motion planning and control of autonomous vehicles to be proactive and safe,
pedestrians' and other road users' motions must be considered. In this paper, we present a …

To generate safe and efficient trajectories for an automated vehicle in dynamic
environments, a layered approach is usually considered, which separates path planning …

Motion planning plays an essential role in designing self-driving functions for connected and
autonomous vehicles. The methods need to provide a feasible trajectory for the vehicle to …