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Special Sessions丨特别专题
As the process of AI empowering intelligent transportation systems continues to accelerate, the integrated three-dimensional transportation network is gradually becoming an important carrier supporting economic and social development. Artificial intelligence technology, as the key driving force, focuses on aspects such as global and three-dimensional transportation environmental perception based on multi-source heterogeneous sensor networks, cross-domain traffic decision-making mechanisms relying on end-edge-cloud cooperative computing, and swarm control methods for multiple carriers. Through the air-underwater-surface integrated perception, decision-making and control framework, it promotes swarm scheduling for multiple carriers and the optimization of three-dimensional transportation resources. At the same time, the adaptability of dynamic three-dimensional transportation systems is enhanced based on reinforcement learning and distributed decision-making computing method, and the full-chain perception-decision-control experimental system for the integrated three-dimensional transportation system is established. Based on above researches, a basic theoretical system and technical application solutions are formed for building an efficient, safe and intelligent air-underwater-surface integrated three-dimensional transportation system.
Related Topics for this Session （but not limited to）:
** AI-Driven Perception Methods under Three-Dimensional Transportation Scenarios
** Autonomous Identification and Situation Deduction Methods under Three-Dimensional Transportation Risks
** Intelligent Cooperative Scheduling and Resource Allocation Methods for Multiple Carriers (unmanned vehicles, unmanned aerial vehicle and unmanned ships);
** Autonomous Decision-Making Calculation Methods for Carriers in Complex Traffic Scenarios
** Swarm Control Methods for Multiple Carriers under Three-Dimensional Transportation Scenarios
Prof. Zhouhua Peng, Dalian Maritime University, China
Professor Zhouhua Peng currently serves as the Dean of the Marine Electrical Engineering at Dalian Maritime University, and the Director of the Key Laboratory of Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships. Professor Peng has been conducting research in the field of guidance and control of multiple autonomous surface/underwater vehicles. He has presided over more than 10 national-level projects. He has published more than 170 SCI papers, with an H-index of 56 in Google Scholar. He has published 4 academic monographs and obtained 80 authorized invention patents. Honors include being selected as a National Young Top Talent, an Advanced Worker in the National Transportation System, a recipient of the Special Government Allowance, a Leading Talent of the Xingliao Talent Program in Liaoning Province, and a Leading Innovative Talent in the Ministry of Transport.
Prof. Pangwei Wang, North China University of Technology, China
Pangwei Wang, a professor and doctoral supervisor of North China University of Technology, Beijing Nova, laboratory director of the Intelligent Control and connected vehicles. His main research directions are artificial intelligence and autonomous transportation. He is currently an editorial board member for several journals, including“Digital Transportation and Safety”, “Transportation Research” and “Journal of Basic Science and Engineering”. He is also a member of the Intelligent Driving Professional Committee of the Chinese Association for Artificial Intelligence (CAAI) and a member of the Autonomous Traffic Control and Safety Professional Committee of the Chinese Institute of Command and Control.
Prof. Defeng Wu, Jimei University, Xiamen, China
Defeng Wu (Senior Member, IEEE) received the B.E. degree in automatic control and the Ph.D degree in control theory and control engineering from Dalian Maritime University, Dalian, China, in 2005 and 2010, respectively. From 2008 to 2009, he was a Visiting Ph.D Student with the School of System Engineering (SSE), University of Reading, Reading, U.K. From March 2011 to August 2015, he was a Lecturer with the School of Marine Engineering, Jimei University, Xiamen, China. From September 2015 to August 2019, he was an Associate Professor with the School of Marine Engineering, Jimei University, where he is currently a Full Professor. He was also a Visiting Scholar with the Illinois Institute of Technology, Chicago, IL, USA, from 2015 to 2016. He has published over 70 research papers in reputed science citation index journals. His current research interests include systems and control theory, machining learning, reinforcement learning, computational intelligence, and its applications in marine engineering. Prof. Wu received the First Reading University SSE Internal Competition for Best Research Output (First Place) in 2011 and the First Prize of Fujian Provincial Science and Technology Progress Award in 2025. He also served as the Guest Editor for several international journals, including IET Control Theory & Applications, Journal of Marine Science and Engineering, and International Journal of Vehicle Design. He serves as the AE for Signal, Image and Video Processing and International Journal of Computer Applications in Technology.
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