Autonomous vehicles (AV) are game-changing innovations that promise a safer, more
convenient, and environmentally friendly mode of transportation than traditional vehicles …

The growth in technology on autonomous transportation systems is currently motivating a
number of research initiatives. This paper first presents a survey of the literature on …

The adapting of lateral deviation during the change of road curvature with less error, system
settling time, and overshoot is the main challenge against the steering angle control of …

In a mixed traffic environment, the connected vehicle platoon cannot communicate and
collaborate with the surrounding vehicles. In this case, there is a high risk of collision in large …

Online active learning is a paradigm in machine learning that aims to select the most
informative data points to label from a data stream. The problem of minimizing the cost …

This paper investigates the vision-based autonomous driving with deep learning and
reinforcement learning methods. Different from the end-to-end learning method, our method …

The tuning issue of the parameters and the system uncertainty represent big challenges in
most engineering applications. In this regard, a new tuning approach is developed for …

In this paper, the problem of steering control is investigated for vehicle path tracking in the
presence of parametric uncertainties and nonlinearities. In practice, the vehicle mass varies …

This article presents a trajectory following control solution for the lateral motion of an
unmanned vehicle. The proposed solution is based on model predictive lateral control. The …

This paper is concerned with a new control method for path tracking of autonomous ground
vehicles. We exploit the fuzzy model-based control framework to deal with the time-varying …