The need for more efficient and renewable means of transport makes the development of
hybrid electric vehicles (HEVs) an important topic for both automobile manufacturers and …

Trajectory tracking control, as one of the core technologies of intelligent driving vehicles,
determines the driving performance and safety of intelligent driving vehicles and has …

Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …

Autonomous vehicle technology aims to improve driving safety, driving comfort, and its
economy, as well as reduce traffic accident rate. As the basic part of autonomous vehicle …

Abstract Autonomous Vehicles (AVs) have shown indelible and revolutionary effects on
accident reduction and more efficient use of travel time, with outstanding socio‐economic …

This article focuses on the speed planning problem for connected and automated vehicles
(CAVs) communicating to traffic lights. The uncertainty of traffic signal timing for signalized …

This article proposes a computationally efficient path-following control strategy of
autonomous electric vehicles (AEVs) with yaw motion stabilization. First, the nonlinear …

The Kalman filter (KF) is a popular state estimation technique that is utilized in a variety of
applications, including positioning and navigation, sensor networks, battery management …

This paper investigates the lane kee** control of autonomous ground vehicles (AGVs)
considering the rollover prevention and input saturation. An enhanced state observer-based …

In this paper, hybrid models of Kalman filter and neural network for state estimation are
reviewed of their corresponding academic achievements, the creation of which is a …