Internet of Vehicles (IoV) is a multinode network that exchanges information in an open,
wireless environment. Various communication activities exist between IoV entities to share …

Inspired by the UNet architecture of semantic image segmentation, we propose a lightweight
UNet using depthwise separable convolutions (DSUNet) for end-to-end learning of lane …

The design of modern convolutional artificial neural networks (ANNs) composed of formal
neurons copies the architecture of the visual cortex. Signals proceed through a hierarchy …

Classical edge computing algorithms assume that the execution time is always known in
resource allocation. However, in practice, the execution time in the edge server is hard to …

This article provides a review of the production and uses of maps for autonomous driving
and a synthesis of the opportunities and challenges. For many years, maps have helped …

Path planning is a critical part for improving the driving safety and driver comfort of
autonomous vehicles (AVs), especially in complex maneuvering conditions. In addition …

Automated vehicles are emerging on the transportation networks as manufacturers test their
automated driving system (ADS) capabilities in complex real-world environments in testing …

Traffic incident management is combining the assets of authorities to identify, deal with, and
manage traffic problems as rapidly as possible while providing the safety of on-scene …

The rapid evolution of the Internet of Things (IoT) facilitates the development of IoT
applications in domains such as manufacturing, smart cities, retail, agriculture, etc. Such IoT …

Most of the vehicle manufacturers aim to deploy level-5 fully autonomous ground vehicles
(FAGVs) on city roads in 2021 by leveraging extensive existing knowledge about sensors …