AI and Sensor Fusion on Roadside MEC: Standards and Implementations for V2X

Edge computing and artificial intelligence (AI) are important components of vehicle-to-everything (V2X) systems and key enablers of their future evolution. From a standard perspective, multi-access edge computing (MEC) offers cloud computing capabilities at the network edge and an IT environment for providing value-added services to applications and services at the edge (through the use of application programming interfaces, i.e., APIs). This article introduces the latest advances of MEC standards related to V2X. It further explains how to implement roadside MEC in real-world networks based on these latest standards to carry AI and sensor fusion computing workloads to support a wide range of V2X use cases. In particular, our work shows how MEC hosts can be conveniently deployed in road infrastructure to support the critically important computing workloads mentioned above. We also propose some promising directions for future standards development as key enablers for achieving interoperability and scalability of MEC platforms.