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面向无人驾驶边缘计算的联合任务卸载和资源分配研究与发展
李陶深1, 鄢琅诗2, 杨勇毅2, 葛志辉2, 杨纪龙2
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(1.广西大学计算机与信息工程学院,南宁学院;2.广西大学计算机与信息工程学院)
摘要:
无人驾驶技术的快速发展,使得车路协同任务卸载计算成为了提高无人驾驶安全性和效率的关键技术之一。可以利用移动边缘计算和5G、6G技术,将计算任务卸载到边缘计算平台和车辆网络中,以便进一步提升无人驾驶汽车的电池寿命、数据存储能力和计算可靠性,最大限度地减少时延,从而实现实时服务。但是,随着无人驾驶汽车中数据的指数级增长,如何对无人驾驶汽车所产生的数据有效的传输并进行计算、精确的融合,成为亟待解决的问题。本文介绍车路协同技术、面向无人驾驶边缘计算的联合任务卸载和资源分配策略等领域的研究现状,并对基于车辆到基础设施的车辆边缘任务卸载、基于车辆到车辆的车辆边缘任务卸载和车联网中的资源分配等几个可能的研究方向进行分析与讨论,旨在为面向无人驾驶边缘计算的联合任务卸载和资源分配策略研究提供参考。
关键词:  无人驾驶汽车  边缘计算 车联网  车路协同 任务卸载  资源分配
DOI:
投稿时间:2025-02-17修订日期:2025-05-22
基金项目:国家自然科学基金项目(62062008)、广西重点科技攻关项目(桂科AD20297125)资助
Joint Task Offloading and Resource Allocation for Edge Computing of Autonomous Driving: A Review of Recent Advances
Abstract:
With the rapid development of autonomous driving technology, task offloading computing in cooperative vehicle infrastructure systems has become one of the key technologies to improve the safety and efficiency of autonomous driving. Mobile edge computing, 5G and 6G technologies can be used to offload computing tasks to edge computing platforms and vehicle networks, so as to further improve the battery life, data storage capacity and computing reliability of autonomous vehicles, minimize delay, and provide real-time services. However, with the exponential growth of data in autonomous vehicles, how to effectively transmit, compute, and accurately fuse the data generated by autonomous vehicles has become an urgent problem to be solved. This paper summarizes and reviews the existing researches on the cooperative vehicle infrastructure technologies, joint task offloading and resource allocation strategy? for autonomous driving edge computing, and analyzes and discusses several possible research directions, such as vehicle edge task offloading based on vehicle to infrastructure, vehicle edge task offloading based on vehicle to vehicle, and resource allocation in the Internet of vehicles, aiming to provide reference for the research and development of joint task offloading and resource allocation strategy for edge computing of autonomous driving..
Key words:  Autonomous driving  edge computing  internet of vehicle  cooperative vehicle infrastructure  task offloading  resource allocation

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