For autonomous vehicle path tracking control, the general path tracking controllers usually
only consider vehicle dynamics' constraints, without taking vehicle stability evaluation index …

The autonomous vehicle parking problem has drawn increased attention in recent times. It
can resolve the parking-related issues that involve minimizing human driving errors and …

Due to various complex environmental factors and parking scenes, there are more stringent
requirements for automatic parking than the manual one. The existing auto-parking …

Parallel parking a car is a difficult task and may be frustrating and stressful for the driver,
while commonly causes traffic jam. One way to mitigate such negative effects is to provide …

Compared to wheeled vehicles, tracked vehicles have unique advantages in disaster relief
and engineering sites. The working environment of tracked vehicles is mostly in fixed-point …

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 …

Reinforcement learning (RL) is a promising direction in automated parking systems (APSs),
as integrating planning and tracking control using RL can potentially maximize the overall …

Automated Parking Assist (APA) systems are now facing great challenges with low adoption
in applications, due to users' concerns about parking capability, reliability, and completion …

Driverless technology aims to improve driving safety, accuracy and comfort. Path tracking is
a basic component of the motion control module of autonomous vehicles, and its control …

To optimize performances such as continuous curvature, safety, and satisfying curvature
constraints of the initial planning path for driverless vehicles in parallel parking, a novel …