自動運転のためのクラウド・エッジ・端末連携AIGC
Cloud-Edge-Terminal Collaborative AIGC for Autonomous Driving
自動運転向けに、クラウド・エッジ・端末が連携してAIGCを活用するアーキテクチャを提案し、通信・ストレージ・計算資源の配分とAIGCによるシステム設計支援を検討した論文。
著者: Jianan Zhang, Zhiwei Wei, Boxun Liu, Xiayi Wang, Yong Yu, Rongqing Zhang
分類: eess.SY, cs.RO, cs.SY
原文アブストラクト
In dynamic autonomous driving environment, Artificial Intelligence-Generated Content (AIGC) technology can supplement vehicle perception and decision making by leveraging models' generative and predictive capabilities, and has the potential to enhance motion planning, trajectory prediction and traffic simulation. This article proposes a cloud-edge-terminal collaborative architecture to support AIGC for autonomous driving. By delving into the unique properties of AIGC services, this article initiates the attempts to construct mutually supportive AIGC and network systems for autonomous driving, including communication, storage and computation resource allocation schemes to support AIGC services, and leveraging AIGC to assist system design and resource management.
