ICCCAS 2024 Invited Speaker

Wenyu Cai

Hangzhou Dianzi University, China

Biography: Cai Wenyu is a professor and doctoral supervisor at Hangzhou University of Electronic Science and Technology. He serves as the head of the marine information team at Hangzhou University of Electronic Science and Technology, deputy director of the Institute of Electronic System Integration Technology, deputy director of the Zhejiang Key Laboratory of Equipment Electronics Research, deputy secretary-general of the Zhejiang Electronics Society, Zhejiang Province New Century 151 Talent. From 2016 to 2017, he was a visiting research scholar at Missouri University (Rolla, MO, USA). He has led and participated in 5 National Natural Science Foundation projects, more than 10 science and technology projects in Zhejiang Province, 2 key research and development plans of the Ministry of Science and Technology during the 12th and 14th Five Year Plans, one industry special project of the State Oceanic Administration, 2 key research and development plans in Zhejiang Province, and more than 20 enterprise cooperation projects. In recent years, more than 60 papers have been published, more than 40 have been indexed by SCI/EI, and more than 40 patents have been authorized. In 2019, as the first author, he won the Zhejiang Province Science and Technology Progress Award.
Speech Title：Sonar Detection and Formation Control with Autonomous Underwater Vehicles
Abstract: Underwater object detection with Autonomous Underwater Vehicle (AUV) has an important role. Sonar image segmentation is the key step in underwater object detection automatically. Small underwater target detection from sonar images remains a challenging task. Due to the scarcity of sonar samples and the uneven seabed background, it is very difficult to distinguish underwater object's contour accurately. We migrate samples with object-shadow pair features, and proposed novel level-set-based sonar image segmentation algorithms. Moreover, to be our knowledge, single AUV is inefficient for large-scale underwater detection. Therefor, we further investigate formation control problem of leade-follower structured AUVs under the condition of unreliable underwater acoustic channel.