Network Optimization Aspects of Autonomous Vehicles: Challenges and Future Directions 文章

ArXiv CS.AI2026-05-29NEWSen作者: Rudolf Krecht, Tamas Budai, Erno Horvath, Akos Kovacs, Nobert Marko, Miklos Unger

摘要

arXiv:2605.29518v1 Announce Type: cross Abstract: Global megatrends, such as urbanization, population growth, and emerging network solutions are accelerating the development of the Connected and Autonomous Vehicles (CAVs) industry. There are many truths, some misconceptions, and even some excitement about CAVs in the public's opinion. The main objective of the current article is to provide a comprehensive review, eliminate misconceptions, and outline the future of the network optimization aspects of autonomous vehicles by presenting various multidisciplinary methods, such as cooperative perception. Given our extensive experience with CAVs, we are aiming to share some of the insights and knowledge we have gained, along with relevant use-cases and experiment results.

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