The recent proliferation of computing technologies (eg, sensors, computer vision, machine
learning, and hardware acceleration) and the broad deployment of communication …

By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular
communications allow AVs to collaborate on solving common autonomous driving tasks …

As a distributed deep learning paradigm, federated learning (FL) provides a powerful tool for
the accurate and efficient processing of on-board data in vehicular edge computing (VEC) …

Autonomous vehicles are revolutionizing transport and next-generation autonomous
mobility. Such vehicles are promising to increase road safety, improve traffic efficiency …

With the potential of reshaping the future of mobility, connected and autonomous vehicles
(CAVs) offer a potential opportunity to transform the world with significant social, industrial …

Autonomous driving solutions stretch over different disciplines and technologies eg,
sensors, communication, computation, machine learning, data analytic, etc., that need to be …

Intelligent vehicles, including autonomous vehicles and vehicles equipped with ADAS
systems, are single-agent systems that navigate solely on the information collected by …

Information-centric networking (ICN) and its fruition, the named data networking (NDN) is a
paradigm shift from host-centric address-based communication architecture to the content …

With the continuous development of deep learning, the application of object detection based
on deep neural networks in the coal mine has been expanding. Simultaneously, as the …

Automobiles continue to become more autonomous and connected as increasingly
integrating with information technology. Meanwhile, this advance also comes with a higher …