• DocumentCode
    1595422
  • Title

    Validation of an Odor Source Identification Algorithm via an Underwater Vehicle

  • Author

    Kang, Xiaodong ; Li, Wei ; Xu, Hongli ; Feng, Xisheng ; Li, Yiping

  • fYear
    2012
  • Firstpage
    740
  • Lastpage
    743
  • Abstract
    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 Rhodamine 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.
  • Keywords
    autonomous underwater vehicles; chemical sensors; Da Lian Bay; Rhoda mine dye plume; filament intermittency; moth-inspired plume tracing strategies; near-shore ocean environments; odor source identification algorithm; simulated underwater vehicle; tides; turbulence; virtual chemical plume; waves; Chemical sensors; Chemicals; Fluids; Position measurement; Robots; Underwater vehicles; Vehicles; Insect-inspired robots; chemical plume tracing; odor source identification; underwater vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-1-4577-2120-5
  • Type

    conf

  • DOI
    10.1109/ISdea.2012.485
  • Filename
    6173312