With the growing adoption of dash cameras, we are seeing great potential for innovations by
analyzing the video collected from vehicles. On the other hand, transmitting and analyzing a …

The new paradigm of fog computing was extended from conventional cloud computing to
provide computing and storage capabilities at the edge of the network. Applied to vehicular …

Vehicular Fog Computing exploits the computing, caching and communication resources at
vehicles to facilitate different location-based applications in a smart urban environment …

Recently, internet of vehicles (IoVs) is captivating a lot of interest due to a wide range of
applications in various domains. These applications rely on up-to-date information of …

Fog-based vehicular crowdsensing is an emerging paradigm where vehicles use onboard
sensors to collect and share data with the aim of measuring phenomena of common interest …

With the promotion of the Internet of Things, in which a growing number of objects in
everyday life are able to communicate with each other, crowdsensing has attracted public …

With the ever-increasing population and change in lifestyle, transport and communication is
becoming more demanding. Every year, roads see significant increase in the number of …

Recently, Internet of Vehicles (IoVs) is getting growing interest because of their suitability for
a wide range of emerging applications. Most of these applications require vehicles to …

Fog computing has been merged with Internet of Vehicle (IoV) systems to provide
computational resources for end users, by which low latency can be guaranteed. In this …

Through connecting intelligent vehicles as well as the roadside infrastructure, the perception
range of vehicles can be significantly extended, and hidden objects at blind spots can be …