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Cooperative unmanned surface vehicles and unmanned aerial vehicles platform as a tool for coastal monitoring activities  ( SCI-EXPANDED收录 EI收录)   被引量:14

文献类型:期刊文献

英文题名:Cooperative unmanned surface vehicles and unmanned aerial vehicles platform as a tool for coastal monitoring activities

作者:Wu, Jinshan[1];Li, Ronghui[1,2];Li, Jiawen[1,2];Zou, Meichang[3];Huang, Zijian[3]

机构:[1]Guangdong Ocean Univ, Maritime Coll, Zhanjiang 524000, Peoples R China;[2]Tech Res Ctr Ship Intelligence & Safety Engn Guang, Zhanjiang, Peoples R China;[3]Guangdong Ocean Univ, Coll Management, Zhanjiang 524000, Peoples R China

年份:2023

卷号:232

外文期刊名:OCEAN & COASTAL MANAGEMENT

收录:SCI-EXPANDED(收录号:WOS:000906932900007)、、EI(收录号:20224813185283)、Scopus(收录号:2-s2.0-85142742449)、WOS

基金:Project funding and support were provided in part by the National Natural Science Foundation of China, China (grant number:52171346) , the Natural Science Foundation of Guangdong Province, China (grant number:2021A1515012618) , the special projects of key fields (Artificial Intelligence) of Universities in Guangdong Province (grant number:2019KZDZX1035) , China, and program for scientific research start- up funds of Guangdong Ocean University, China.

语种:英文

外文关键词:Cooperative USV-UAV platform; Coastal monitoring; Inshore safety; CenterNet

外文摘要:To ensure the safety of near-shore activities, efficient coastal monitoring equipment must be installed. Coastal monitoring has become a priority in integrated marine management because casualty accidents occur frequently in coastal waters. In this paper, the residual module of a CenterNet network is modified in response to the degradation problem. And by replacing the original convolutional layer with several depth-wise separable convolutions, the accuracy of our model's recognition performance for ships and personnel improved. Then an improved CenterNet algorithm, which has a 4% increase in average precision over the original one, is adopted to identify vessels and participants at sea in the images returned from the cooperative unmanned surface vehicles (USV) and unmanned aerial vehicles(UAV) platform. A cooperative USV-UAV platform for coastal surveillance is built by merging with a CenterNet-improved identification network. Correspondingly, several related manage-ment practices and potential application areas are recommended on the basis of the platform. It provides a framework for inshore safety rescue operations as a distinct cooperative USV-UAV platform.

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