The Internet of Things (IoT) extends the Internet connectivity into billions of IoT devices
around the world, where the IoT devices collect and share information to reflect status of the …

Due to the recent progress in Deep Neural Networks, Reinforcement Learning (RL) has
become one of the most important and useful technology. It is a learning method where a …

Artificial Intelligence (AI) is becoming pervasive in most engineering domains, and railway
transport is no exception. However, due to the plethora of different new terms and meanings …

Motion control algorithms in the presence of pedestrians are critical for the development of
safe and reliable Autonomous Vehicles (AVs). Traditional motion control algorithms rely on …

In this survey, we systematically summarize the current literature on studies that apply
reinforcement learning (RL) to the motion planning and control of autonomous vehicles …

ABSTRACT AI has been widely used in intelligent transportation systems, autonomous
driving and automated vehicles in particular. Intelligent vehicles in the future will be a …

The automation of vehicles is progressing through several automation levels, with the goal
of reaching full autonomy, ie level 5, which involves no steering wheel, brakes, pedals, or …

Autonomous driving has attracted significant attention in recent years. With the booming of
artificial intelligence (AI), deep learning technologies have been applied to autonomous …

A processor implemented vehicle control method for autonomous driving includes: obtaining
a driving image of a vehicle; determining a control parameter for controlling the vehicle in …

This paper is a study of reinforcement learning (RL) as an optimal-control strategy for control
of nonlinear valves. It is evaluated against the PID (proportional–integral–derivative) …