This comprehensive review focuses on the Autonomous Driving System (ADS), which aims
to reduce human errors that are the reason for about 95% of car accidents. The ADS …

Trajectory planning is a crucial aspect of autonomous driving for energy conservation ans
savings, especially in electric vehicles (EVs). A particular vehicle inverse dynamics model is …

Air pollution, energy consumption, and human safety issues have aroused people's concern
around the world. This phenomenon could be significantly alleviated with the development …

This paper discusses cooperative path-planning and tracking controller for autonomous
vehicles using a distributed model predictive control approach. Mixed-integer quadratic …

To address the issue of centrifugal force affecting the vertical load during the stability and
trajectory planning of autonomous vehicles during high-speed cornering and obstacle …

The active steering safety (ASS) of intelligent heavy trucks (IHTs) has received increasing
attention in an attempt to reduce the occurrence of traffic accidents. The electro-hydraulic …

Motorcycle motion is largely influenced by the road geometry, which alters the allowable
accelerations in longitudinal and lateral directions and influences the vertical wheel loads …

Self-driving cars have become a popular research topic in recent years. Autonomous driving
is a complicated field of study that involves a variety of disciplines, such as electronics …

In this paper, a deep-learning based model named SteeringNET is proposed for obstacles
avoidance. Three categories of obstacles were chosen, namely, two-wheelers, cars, and …

The objective of introducing autonomous vehicles on public roads became the motor of lots
of recent developments. Almost all automotive companies have a department working on …