The ongoing surge in applications of robotics brings both opportunities and challenges for
the fifth-generation (5G) and beyond (B5G) of communication networks. This article focuses …

Shared autonomous electric vehicles (SAEVs) that combine electric vehicles (EVs) with
autonomous driving technologies and car-sharing services are expected to become a …

The emergence of next-generation latency-critical applications places strict requirements on
network latency and stability. Edge cloud, an instantiated paradigm for edge computing, is …

Automatic lane detection is a classical task in autonomous vehicles that traditional computer
vision techniques can perform. However, such techniques lack reliability for achieving high …

Quantum Federated Learning (QFL) recently becomes a promising approach with the
potential to revolutionize Machine Learning (ML). It merges the established strengths of …

Federated learning (FL) has shown promise in smart industries as a means of training
machine‐learning models while preserving privacy. However, it contradicts FL's low …

In this work, we study the joint detection and localization of multiple delay-and Doppler-
spread targets through an opportunistic radar exploiting mmWave communication signals …

Current ground-based transportation systems are subjected to various challenges, including
the high cost of infrastructure development, limited land space, and a growing urban …

Optoelectronic sensing systems are used in automated vehicles for in-cabin features such
as driver attention and distraction monitoring. As automated driving technology continues to …

FMCW radars are integral to automotive driving for robust and weather-resistant sensing of
surrounding objects. However, these radars are vulnerable to spoofing attacks that can …