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 …

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 …

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 …

Model Predictive Controller (MPC) is widely used as a technique for path tracking control
since it allows for dealing with system constraints and future forecasts. However, the …

Model predictive control (MPC) has become a practical approach for implementing active
safety control strategies in autonomous vehicles (AVs). This article introduces a Fast Iterative …

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 …

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 …

The conflicts between the perceived sensation of the different sensory systems can cause
adverse effects which is known as motion sickness (MS) and the side effects of MS include …