Autonomous vehicles (AVs) rely on various types of sensor technologies to perceive the
environment and to make logical decisions based on the gathered information similar to …

This paper presents a systematic review of the perception systems and simulators for
autonomous vehicles (AV). This work has been divided into three parts. In the first part …

This study investigates the challenges and opportunities pertaining to transportation policies
that may arise as a result of emerging autonomous vehicle (AV) technologies. AV …

Abstract Machine learning (ML) plays the core function to intellectualize the transportation
systems. Recent years have witnessed the advent and prevalence of deep learning which …

Usage of Unmanned Aerial Vehicles (UAVs) is growing rapidly in a wide range of consumer
applications, as they prove to be both autonomous and flexible in a variety of environments …

As technology continues to develop, computer vision (CV) applications are becoming
increasingly widespread in the intelligent transportation systems (ITS) context. These …

Pedestrian detection is a core problem in computer vision that sees broad application in
video surveillance and, more recently, in advanced driving assistance systems. Despite its …

Human Detection and tracking have become a focal area of research as it plays a major role
in computer vision applications. Methods and equipment for the detection and tracking of …

Technological breakthroughs in recent years have led to a revolution in fields such as
Machine Vision and Search and Rescue Robotics (SAR), thanks to the application and …

In the process of hand gesture recognition, the diversity and complexity of gesture will
greatly influence the recognition rate and reliability. In the task of hand gesture recognition …