This article focuses on the problem of autonomous valet parking trajectory planning in
complex environments. The task normally can be well described by an optimal control …

While the majority of autonomous driving research has concentrated on everyday driving
scenarios, further safety and performance improvements of autonomous vehicles require a …

Due to the simultaneous existence of model uncertainties and external disturbances,
designing automated ground vehicle path-following controllers is recognized as a …

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 …

Intelligent vehicle technology has made tremendous progress due to Artificial Intelligence
(AI) techniques. Accurate behavior prediction of surrounding traffic actors is essential for the …

Simulators play a crucial role in autonomous driving, offering significant time, cost, and labor
savings. Over the past few years, the number of simulators for autonomous driving has …

In this paper, a model predictive control (MPC) strategy is developed to realize collision
avoidance with dynamic obstacle vehicles for an autonomous vehicle. A novel collision …

Currently, the increase of transport demands along with the limited capacity of the road
network have increased traffic congestion in urban and highway scenarios. Technologies …

Accurate trajectory prediction of surrounding vehicles is important for automated vehicles. To
solve several existing problems of maneuver-based trajectory prediction, we propose four …

Automated Driving Systems (ADS) have received a considerable amount of attention in the
last few decades, as part of the Intelligent Transportation Systems (ITS) field. However, this …