Key Technologies of UAV-USV Cooperation System for Maritime Search and Rescue
Zhang Weidong
Shanghai Jiao Tong University
Abstract
The report, set against the backdrop of maritime search and rescue, introduces an unmanned search and rescue system composed of drones and unmanned boats. This system leverages the advantages of drones' wide search range and long communication distance, as well as the long endurance of unmanned boats, to establish an UAV-USV search and rescue system that responds quickly, is cost-effective, and poses no risk of casualties. The report outlines the current development status, discusses key technologies such as landmark recognition, pose control, and cooperative decision-making, and presents the verification process of drone landing technology based on visual navigation in recent years.
Biography
Weidong Zhang received his BS, MS, and PhD degrees from Zhejiang University, China, in 1990, 1993, and 1996, respectively, and then worked as a Postdoctoral Fellow at Shanghai Jiaotong University. He joined Shanghai Jiaotong University in 1998 as an Associate Professor and has been a Full Professor since 1999. From 2003 to 2004 he worked at the University of Stuttgart, Germany, as an Alexander von Humboldt Fellow. From 2007 to 2008 he worked at Princeton University, USA, as a Visiting Professor. From 2013 to 2017 he serviced as Deputy Dean of the Department of Automation, Shanghai Jiaotong University. He serving as a part-time professor at Hainan University from 2021. He is currently Chair Professor of Shanghai Jiaotong University, Director of the Engineering Research Center of Marine Automation, Shanghai Municipal Education Commission, China. His research interests include control theory, machine learning theory, and their applications in industry and robots. He is the author of more than 300 papers and 2 books. His papers have been cited for more than 23k times in Google, and he has been recognized as Elsevier Most Cited Researcher and Highly Ranked Scholar- Lifetime of ScholarGPS.
