Edge Intelligence for V2X Communications: Advances in Collaborative Perception and Privacy Preservation_Vol. 3 No. 4 (JBDC 2025)_Journal of Big Data and Computing (ISSN: 2959-0590)

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Edge Intelligence for V2X Communications: Advances in Collaborative Perception and Privacy Preservation

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DOI: https://doi.org/10.62517/jbdc.202501409

Author(s)

Siyi Wang

Affiliation(s)

Bell Honors School, Nanjing University of Posts and Telecommunications, Nanjing, China

Abstract

With the latest developments in AI, the proliferation of Internet of Things (IoT) devices, and the rise of edge computing, the potential of edge AI has already been released. Edge AI also plays a significant role in autonomous driving technology. It refers to running AI on devices or edge servers close to users, which can be applied to improve IoT services in autonomous driving. This article systematically reviews the technological evolution and application challenges of Edge Intelligence in V2X communications. Firstly, it analyzes how Edge Intelligence functions in information exchange within V2X, V2V, and V2I scenarios and its effectiveness in enhancing performance. Subsequently, it explores the privacy protection mechanism integrating federated learning and blockchain to address the risks of identity tracing and data leakage. Finally, it discusses the implementation challenges, lessons learned, and future research directions of Edge AI. The study demonstrates that EI is a key enabler for achieving a balance between "real-time" and "security" in V2X communications.

Keywords

AI; Edge AI; Automobile Driving; Vehicle-to-Everything Communication(V2X)

References

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