The rapid evolution of autonomous technology in the field of automotive and information
technology (IT) has made it possible to implement autonomous vehicles (AVs) for public …

Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

In this article, we aim to investigate the path following control problem for four-wheel-
independent-drive electric vehicles with consideration of modeling errors and complex …

In order to decrease computation loads for path following control of autonomous ground
vehicles (AGVs), in this article, we aim to design an output-feedback path following controller …

Autonomous vehicles are prone to instability when the motors of the four-wheel independent-
driving electric vehicles fail at high driving speed on low-adhesion roads. To improve the …

This study proposes an innovative fault diagnosis algorithm developed for the 4WIS4WID
vehicle system, aiming to overcome fault location and identification challenges. The …

In this paper, a robust gain-scheduled path following controller for automated vehicles
based on learning methods is presented. Two major challenges are overcome: 1) Varying …

Coupled controllers are vital for safely handling vehicles, especially in critical driving
situations that include changing lanes to avoid obstacles. Controllers specialized in …

In order to improve the handling stability of four-wheel steering (4WS) cars, a two-degree-of-
freedom 4WS vehicle dynamics model is constructed here, and the motion differential …

Vehicle intelligence is an effective way to improve driving safety and comfort and reduce
traffic accidents. The trajectory tracking control of unmanned vehicles is the core module of …