In autonomous driving, many learning-based methods for motion planing have been
proposed in literature, which can predict motion commands directly from the sensory data of …

For the parallel parking problem in narrow space, this paper proposes a trajectory tracking
control method with a novel trajectory planning layer for autonomous parallel parking based …

This paper presents a novel proximal planning and control (PPC) formulation for an
unmanned ground vehicle (UGV) which is affected by skidding and slip disturbances. The …

Lane changes in multi‐vehicle driving environments are one of the most challenging
manoeuvres for autonomous vehicles. The key innovation of this study is to develop an …

For a decade, researchers have focused on the development and deployment of road
automated mobility. In the development of autonomous driving embedded systems, several …

Trajectory planning has generally been framed as finding the lowest cost one from a set of
trajectory candidates, where the cost function has been hand-crafted with carefully tuned …

Trajectory planning for the unmanned vehicle in the complex environment has always been
a challenging task. Planned trajectory with the corresponding target velocity or acceleration …

This study is the first in the literature to examine the Braess paradox considering parking
behavior in the autonomous vehicle (AV) environment, based on which the network design …

This paper proposes a systematic driving framework where the decision making module of
reinforcement learning (RL) is integrated with rapidly-exploring random tree (RRT) as …

Robots have become increasingly prevalent in dynamic and crowded environments such as
airports and shopping malls. In these scenarios, the critical challenges for robot navigation …