CSTFM 2024 专题四 ：低空智能网络与三维自主运输系统

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分会主席

周建山教授主要从事立体交通系统与低空智联网研究，入选小米青年学者、博士后创新人才支持计划(“博新计划”)、中国汽车工程学会优博，担任《无人系统技术》青年编委，是2023中国国际车联网技术大会、移动计算国际大会IEEE EDGE 2020分论坛主席，也是无人系统国际大会IEEE ICUS 2022-2023、ICAUS 2022-2023分会的联合主席和召集人，IEEE VTC2021-Fall分会技术程序委员。作为负责人，主持了国家自然科学基金、国家重点研发计划子课题等项目/课题8项，以一作/通讯身份发表学术论文31篇，代表性成果在IEEE Trans.等国际权威学术期刊发表SCI论文13篇，获评国际大会最佳论文奖10项，出版中文著作2部、英文译著1部，授权发明专利18项(含国际发明专利3项)，参编团体/地方标准3项；荣获北京市科技进步奖二等奖、中国智能交通协会科技奖一等奖、中国生产力促进奖一等奖等科技奖励。

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专题信息

Keywords:

• Three-dimensional transportation

• Autonomous transportation

• Low-altitude intelligent networking

• Information interaction

• Cooperative control

Summary:

Low-altitude intelligent networking refers to the monitoring, planning, and control of low-altitude airspace through the utilization of advanced drones, aircraft, and other carriers, as well as sensors, communication equipment, and artificial intelligence technology. The three-dimensional autonomous transportation system is an intelligent transportation mode with air-ground coordination, which broadens the scope of transportation and improves its efficiency through the combination of multiple transportation modes. Low-altitude intelligent networking provides air traffic support for autonomous transportation systems, offering more accurate and efficient traffic information and services for autonomous vehicles. However, processing networked information, making sensing decisions, and controlling technologies for the existing three-dimensional transportation network still face significant challenges in complex, random, and dynamic application scenarios, especially the complexity and heterogeneity of multiple transportation modes, the time-varying communication topologies among different mobile terminals, the stochastic nature of environmental disturbances, and the uncertainty of sensor noise, which have seriously constrained the development of the three-dimensional autonomous transportation system. Therefore, to overcome the performance limitations of existing low-altitude intelligent networking and three-dimensional autonomous transportation technologies to cope with new demands and challenges, there exists a pressing imperative to delve into the realms of low-altitude intelligent networking communication, sensing, and control technologies concerning the three-dimensional autonomous transportation system. This necessitates fostering intelligent cluster collaboration and deep information-physical fusion in low-altitude intelligent networking by integrating paradigms such as deep reinforcement learning, bionic group intelligence, and edge computing.

Topics: 

• Self-organized network model of low-altitude intelligent networked clusters with high reliability and low latency communication mechanism

• Multi-mode information autonomous intelligent sensing and distributed fusion processing for three-dimensional autonomous transportation systems

• Data-physics-driven distributed cooperative decision-making and optimal control of low-altitude intelligent networked clusters

• Robust safe cooperative control of low-altitude intelligent networked clusters under unknown disturbances

• AI-driven three-dimensional autonomous transportation system architecture and scheduling resource optimization

• Edge computing and blockchain application of low-altitude intelligent networked cluster system for physical information security

专题截稿时间

全文提交截止：2024年7月15日

会议时间：2024年10月18-20日

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投稿信息

在线链接投稿：

https://cmt3.research.microsoft.com/CSTFM2024

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本次会议新增EI期刊（International Journal of Vehicle Systems Modelling and Testing）投稿。

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联系方式

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EI源刊

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