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题名:
Validation of an odor source identification algorithm via an underwater vehicle
作者: Kang XD(康小东); Li W(李伟); Xu HL(徐红丽); Feng XS(封锡盛); Li YP(李一平)
作者部门: 水下机器人研究室
会议名称: 2nd International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012
会议日期: January 6-7, 2012
会议地点: Sanya, Hainan, China
会议主办者: Hunan University of Technology; Intelligent Computation Technology and Automation Society; Minzu University of China; Nat. Univ. Def.Technol., Dep. Electron. Sci. Technol.; Hunan City University; Hunan Institute of Humanities Science and Technology
会议录: Proceedings - 2012 International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012
会议录出版者: IEEE Computer Society
会议录出版地: Piscataway, NJ
出版日期: 2012
页码: 740-743
收录类别: EI
ISBN号: 978-0769546087
关键词: Intelligent systems ; Systems analysis ; Vehicles
摘要: This paper systemically discusses a procedure for evaluating and validating an odor source identification algorithm derived from moth-inspired plume tracing strategies. We evaluate and validate the proposed source identification algorithm as follows. First, we identify the source of a virtual chemical plume with significant filament intermittency and meander via a simulated underwater vehicle. Second, we validate the source identification algorithm using the virtual chemical plume and a real underwater vehicle in a swimming pool. Finally, we run in-water tests to trace a Rhoda mine dye plume developed in near-shore ocean environments characterized by turbulence, tides and waves, and to identify its source via the underwater vehicle at Da Lian Bay in China.
语种: 英语
产权排序: 1
EI收录号: 20122015031923
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/9854
Appears in Collections:水下机器人研究室_会议论文

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Recommended Citation:
Kang XD,Li W,Xu HL,et al. Validation of an odor source identification algorithm via an underwater vehicle[C]. 2nd International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012. Sanya, Hainan, China. January 6-7, 2012.Validation of an odor source identification algorithm via an underwater vehicle.
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