Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

Machine learning (ML) has significantly enhanced the abilities of robots, enabling them to
perform a wide range of tasks in human environments and adapt to our uncertain real world …

In the field of edge computing, quantizing convolutional neural networks (CNNs) using
extremely low bit widths can significantly alleviate the associated storage and computational …

Real-world optimization problems are often governed by one or more constraints. Over the
last few decades, extensive research has been performed in Constrained Optimization …

This article proposes an adaptable path tracking control system, based on reinforcement
learning (RL), for autonomous cars. A four-parameter controller shapes the behaviour of the …

Real-world optimization problems are often gov-erned by one or more constraints. Over the
last few decades, extensive research has been performed in Constrained Opti-mization …

Autonomous vehicles have made a great impact on research and industrial growth over the
past era. The automobile industry is now being revolutionized by self‐driving (or driverless) …

Data science's rapid development in a dynamically growing data environment endows it with
unique characteristics among scientific disciplines, juxtaposing challenges typically …