• DocumentCode
    677344
  • Title

    Data fusion method for underwater object localization

  • Author

    Yun Lu ; Weijia Li ; Xiao Wang

  • Author_Institution
    Sch. of Naval Archit. & Ocean Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2013
  • fDate
    26-28 Aug. 2013
  • Firstpage
    875
  • Lastpage
    879
  • Abstract
    Underwater small type robot has advantage with its small size, but the number and type of sensors needed to be designed carefully as its limited payload, including the method of object positioning. For the positioning of underwater target, proximate sensor is developed and the problem of data association in multi-sensors fusion is also discussed in the paper. Finally, the simulation tests show that the fusion method takes advantage of the complementary properties of the two sensors, and meets the requirements of underwater position on miniaturization, reliability and real-time.
  • Keywords
    mobile robots; object recognition; position control; robot vision; sensor fusion; underwater vehicles; data association; data fusion method; multisensors fusion; object positioning; proximate sensor; underwater object localization; underwater small type robot; underwater target positioning; Data integration; Image sensors; Manipulators; Robot sensing systems; Sensor fusion; Data association; Data fusion; Proximate sensor; Underwater; Vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2013 IEEE International Conference on
  • Conference_Location
    Yinchuan
  • Type

    conf

  • DOI
    10.1109/ICInfA.2013.6720417
  • Filename
    6720417