Future
Internet of Vehicles systems feature a large number of devices and
multi-access environments where different types of communication, computing,
and storage resources must be efficiently utilized. It is therefore important
to empower future IoV systems with advanced features, such as real-time
reactive and proactive cooperation and coordination among different agents (or
decision makers), including vehicles, roadside units, base stations,
pedestrians, and other entities. Recently, artificial intelligence (AI) based
approaches have been attracting great interest in empowering computer systems.
In IoV systems, collaborative intelligence can be achieved via an efficient
collaboration among heterogeneous entities, including vehicles, edges, and
cloud. This talk will focus on the technical challenges and the synergistic
effect of collaboration among heterogeneous entities and AI in enabling
intelligent perception of environment, intelligent networking, and intelligent
processing of big data in vehicular IoT systems.
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