移动通信2023，Vol.47Issue(12)：60-65,6.DOI:10.3969/j.issn.1006-1010.20231118-0001
基于生成式人工智能的网联自动驾驶:通感融合决策技术
Connected Autonomous Driving Based on Generative Artificial Intelligence:Decision-Making Technology with Integrated Sensing and Communication
摘要
Abstract
This paper explores the potential value of the generative artificial intelligence(AI)in connected autonomous driving technology.The existing research has mainly focused on the traditional perception decision-making and vehicular network technologies,overlooking the significant role of the generative AI in promoting the autonomous driving.Therefore,this paper first discusses how generative AI technologies enhance the performance of modules,including autonomous driving decision-making,training,sensing,and navigation.Then the new role of generative AI technologies in the next generation vehicular network is investigated with the combination of semantic communications,integrated sensing and communication,and new air interface technologies.A connected autonomous driving model based on AI agent is further proposed.Finally,it is emphasized that generative AI is the key to achieving high-level autonomous driving for vehicles.关键词
生成式人工智能/自动驾驶/车联网/通感融合Key words
generative artificial intelligence/autonomous driving/vehicular networks/Integrated Sensing and Communication分类
信息技术与安全科学引用本文复制引用
尹骋宇,刘怡良,彭海霞..基于生成式人工智能的网联自动驾驶:通感融合决策技术[J].移动通信,2023,47(12):60-65,6.基金项目
国家自然科学基金青年项目"面向时延敏感车联网的通感算一体化方法研究","基于智能反射表面的无线物理层安全技术研究"(62301411,62101429) （62301411,62101429）
秦创原引用高层次创新创业人才项目"通感算协同一体化网联自动驾驶框架的安全防护技术"(QCYRCXM-2022-341) （QCYRCXM-2022-341）
