Emergence of communication technologies made the automotive industries across the
globe to embrace Advanced Driver Assistance Systems (ADAS) by considerable …

Autonomous driving (AD) has developed tremendously in parallel with the ongoing
development and improvement of deep learning (DL) technology. However, the uptake of …

This study contributes to addressing the challenge of quickly obtaining an effective and
accurate nonparametric model for describing ship maneuvering motion in three degrees of …

Overtaking on two-lane two-way (TLTW) highways is often associated with a high risk of
crashing. However, existing models of TLTW overtaking decision, either mechanism-or …

Autonomous vehicles (AVs) are the next-generation driver-less vehicular entities with
advanced technologies. Overtaking is an important and challenging maneuver that needs to …

Autonomous vehicle navigation in an unknown dynamic environment is crucial for both
supervised-and Reinforcement Learning-based autonomous maneuvering. The cooperative …

Many road accidents happen due to the misjudgments and miscalculations of human drivers
when overtaking their lead vehicles. Using unaided sight, the human drivers cannot …

Autonomous driving decision-making is a challenging task due to the inherent complexity
and uncertainty in traffic. For example, adjacent vehicles may change their lane or overtake …

The necessity of vehicle fault detection and diagnosis (VFDD) is one of the main goals and
demands of the Internet of Vehicles (IoV) in autonomous applications. This paper integrates …

Air logistics transportation has become one of the most promising markets for the civil drone
industry. However, the large flow, high density, and complex environmental characteristics of …