Thanks to their road safety potential, automated vehicles are rapidly becoming a reality. In
the last decade, automated driving has been the focus of intensive automotive engineering …

The rapid technological development of computing power and system operations today
allows for increasingly advanced algorithm implementation, as well as path planning in real …

Autonomous driving is considered one of the revolutionary technologies shaping humanity's
future mobility and quality of life. However, safety remains a critical hurdle in the way of …

Featured Application Telepresence robot is useful for remote applications, healthcare and
remote sensing. Abstract Automation in the modern world has become a necessity for …

This paper investigates vehicle trajectory prediction problems in real traffic scenarios by fully
harnessing the spatio-temporal dependencies between multiple vehicles. The existing GCN …

In the Internet of Things (IoT) era, telepresence robots (TRs) are increasingly a part of
healthcare, academia, and industry due to their enormous benefits. IoT provides a sensor …

Autonomous vehicles (AVs) have emerged as a promising technology for enhancing road
safety and mobility. However, designing AVs involves various critical aspects, such as …

To achieve optimal robot behavior in dynamic scenarios we need to consider complex
dynamics in a predictive manner. In the vehicle dynamics community, it is well know that to …

Most environment perception methods in autonomous vehicles rely on deep neural
networks because of their impressive performance. However, neural networks have black …

Featured Application Healthcare, remote sensing, and military. Abstract Background: Over
the last few decades, telepresence robots (TRs) have drawn significant attention in …