Autonomous driving has the potential to revolutionize mobility and transportation by
reducing road accidents, alleviating traffic congestion, and mitigating air pollution. This …

This paper presents a novel adaptive second-order non-singular terminal sliding mode
control combined with a radial basic neural network structure and a triangular neural …

Given the increased significance of electric vehicles in recent years, this study aimed to
develop a novel form of direct yaw-moment control (DYC) to enhance the driving stability of …

This paper proposes a neural network approach adaptive super-twisting sliding mode
control algorithm for autonomous vehicles. An adaptive and robust control algorithm in …

The direct yaw moment control can effectively enhance the yaw stability of the vehicle under
extreme conditions, which has become one of the essential technologies for the distributed …

In this work, a nonlinear observer-based controller is designed for the attitude control of a
ground vehicle with uncertainty estimation. This controller ensures the tracking of desired …

Autonomous ground vehicles (AGVs) operating in complex environments face the challenge
of accurately following desired paths while accounting for uncertainties, external …

The mobility sector is experiencing a global transition towards cleaner and more sustainable
technologies. Many mobility projects are developing artificial intelligence (AI) technologies …

With the recent emergence of deep learning, computer vision-based applications have
demonstrated better applicability in accomplishing driving tasks including drivable road …

Nonlinear optimization-based motion planning algorithms have been successfully used for
dynamically feasible trajectory planning of road vehicles. However, the main drawback of …