IDSSE OpenIR  > 深海工程技术部  > 深海探测技术研究室
Control and Decision Making for Ocean Feature Tracking with Multiple Underwater Vehicles
Zhang, Shaowei; Li, Chen
2018-09-01
Source PublicationJOURNAL OF COASTAL RESEARCH
ISSN0749-0208
Issue1Pages:552-564
Abstract

Autonomous Undenvater Vehicles (AUVs) are mobile platforms with excellent maneuverability, which are preferred for microscale and mesoscale ocean feature tracking in near real time mode. With their good maneuverability and low cost, AUVs make autonomy mobile observation of ocean dynamic process feasible and convenient. Aiming for the observation of the typical microscale and mesoscale oceanographic features near South China Seas, we give thorough discussion of control and tracking strategy with AUVs. Firstly, we give the composition of autonomy observation system, mainly including vehicle dynamic control, multi underwater vehicles path plan and data process. Secondly, considering the driving factors and variation properties of the ocean feature, we give the control and decision making strategy with underwater vehicles for ocean feature tracking. Lastly, with respect to different types of ocean feature, we give discussion of advantages and constraint conditions of the AUVs control and tracking strategy.

KeywordOcean Feature Tracking Underwater Vehicles Control Ocean Observation
DOI10.2112/SI83-092.1
Indexed BySCI
Funding OrganizationNatural Science Foundation of China NSFC ; National Key Research And Development Plan of China ; China Strategic Priority Research Program of the Chinese Academy of Sciences ; Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences ; Hainan NSF
Language英语
Funding ProjectNatural Science Foundation of China NSFC[51809255] ; National Key Research And Development Plan of China[2018YFC0307906] ; China Strategic Priority Research Program of the Chinese Academy of Sciences[XDA13030301] ; Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences[SIDSSE-QN-201403] ; Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences[SIDSSE-201202] ; Hainan NSF[20165206] ; Hainan NSF[ZDYF2016190]
WOS KeywordNetworks ; China
WOS Research AreaEnvironmental Sciences & Ecology ; Physical Geography ; Geology
WOS SubjectEnvironmental Sciences ; Geography, Physical ; Geosciences, Multidisciplinary
WOS IDWOS:000453658100093
PublisherCOASTAL EDUCATION & RESEARCH FOUNDATION
Citation statistics
Document Type期刊论文
Version出版稿
Identifierhttp://ir.idsse.ac.cn/handle/183446/6457
Collection深海工程技术部_深海探测技术研究室
深海工程技术部_深海视频技术研究室
Corresponding AuthorZhang, Shaowei
AffiliationChinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya 572000, Hainan, Peoples R China
First Author AffilicationInstitute of Deep-sea Science and Engineering,CAS
Corresponding Author AffilicationInstitute of Deep-sea Science and Engineering,CAS
Recommended Citation
GB/T 7714
Zhang, Shaowei,Li, Chen. Control and Decision Making for Ocean Feature Tracking with Multiple Underwater Vehicles[J]. JOURNAL OF COASTAL RESEARCH,2018(1):552-564.
APA Zhang, Shaowei,&Li, Chen.(2018).Control and Decision Making for Ocean Feature Tracking with Multiple Underwater Vehicles.JOURNAL OF COASTAL RESEARCH(1),552-564.
MLA Zhang, Shaowei,et al."Control and Decision Making for Ocean Feature Tracking with Multiple Underwater Vehicles".JOURNAL OF COASTAL RESEARCH .1(2018):552-564.
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