Smart cities demand resources for rich immersive sensing, ubiquitous communications,
powerful computing, large storage, and high intelligence (SCCSI) to support various kinds of …

Autonomous driving has so far received numerous attention from academia and industry.
However, the inevitable occlusion is a great menace to safety and reliable driving. Existing …

In connected autonomous vehicles (CAVs), the driving safety can be greatly deteriorated, in
the presence of occlusions which are adverse to CAVs' perception of region-of-interest (RoI) …

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 …

Multi-access edge computing (MEC)-enabled Internet of Things (IoT) has become a
powerful solution to run computation-intensive applications on end devices. These …

Collaborative perception enables autonomous driving vehicles to share sensing or
perception data via broadcast-based vehicle-to-everything (V2X) communication …

Cooperative perception significantly enhances the perception performance of connected
autonomous vehicles. Instead of purely relying on local sensors with limited range, it …

High Definition (HD) maps have become core supporting components for autonomous
driving. To date, their updates heavily depend on the vehicle fleets of the map vendors …

Autonomous driving perceives surroundings with line-of-sight sensors that are compromised
under environmental uncertainties. To achieve real time global information in high definition …

Cooperative perception is the key approach to augment the perception of connected and
automated vehicles (CAVs) toward safe autonomous driving. However, it is challenging to …