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

Model Predictive Controller (MPC) is a capable technique for designing Path Tracking
Controller (PTC) of Autonomous Vehicles (AVs). The performance of MPC can be …

Efficient path tracking plays a key role in the overall ride experience of Autonomous Vehicles
(AVs). Model Predictive Control (MPC) is one of the most competent techniques which is …

Diverse passengers have various driving habits and driving preferences, thus the function of
personalized driving is one of the most important features for autonomous vehicles (AVs). In …

This article outlines the architecture of autonomous driving and related complementary
frameworks from the perspective of human comfort. The technical elements for measuring …

This article aims to address the realistic path tracking control problem toward high-system
performance for commercial autonomous ground vehicles (AGVs) with simultaneously …

With the development of high-speed rail transportation, the automatic train operation (ATO)
of high-speed trains (HSTs) has attracted considerable attention in the fields of both …

High-performance path tracking is a key technology for autonomous vehicles. Feedforward-
feedback control architectures are suitable for accurate path tracking with adequate margins …

Motion sickness in self-driving cars is a key human factor that aggravates the passengers'
health in autonomous vehicles and is investigated in the following pages. As drivers turn into …

Path tracking controller of Autonomous Vehicles (AVs) plays an important role in improving
the dynamic behaviour of the vehicle. Model Predictive Control (MPC) is one the most …