To support various upper applications of intelligent vehicles ranging from driving assistance
to automated planning and control, accurate localization, and tracking are the fundamental …

As vehicles integrate more and more autonomous driving functionalities, it becomes more
and more important to use vehicular networks to fully guarantee the safety and real-time …

A remarkable interest in machine learning-based schemes as key enablers for
nextgeneration intelligent wireless systems has been observed. Most of the existing learning …

Spectral-domain CNNs have been shown to be more efficient than traditional spatial CNNs
in terms of reducing computation complexity. However they come with a'kernel …

Efficiency and safety are two crucial aspects that have garnered significant attention in the
context of traffic networks. The investigation of autonomous vehicles (AVs) in terms of …

Real-time video dehazing plays a key role in helping autonomous driving detect pedestrians
or obstacles in severe foggy weather to prevent potential hazards. Existing video dehazing …

Cyber-physical systems (CPSs) are emergent systems that enable effective real-time
communication and collaboration (C&C) of physical components such as control systems …

Cell-free massive multiple-input-multiple-output (CF-mMIMO) network and its low-complexity
user-centric (UC) alternative rely on accurate and up-to-date channel state information (CSI) …

Actuation means for soft robotic structures are manifold: despite actuation mechanisms such
as tendon-driven manipulators or shape memory alloys, the majority of soft robotic actuators …

Traffic accidents are a national public health crisis that result in multiple injuries and
fatalities. Conventional vehicle crashes are largely attributed to human errors, but …