• DocumentCode
    231068
  • Title

    Snowfall simulation for evaluating visibility performance of vision based sensors using expanded polystyrene beads — Nozzle design for snowfall simulation

  • Author

    Bong Keun Kim ; Sumi, Yasushi ; Matsumoto, Yuki

  • Author_Institution
    Robotic Technol. Synthesis Res. Group, Nat. Inst. of Adv. Ind. Sci. & Technol., Tsukuba, Japan
  • fYear
    2014
  • fDate
    Feb. 26 2014-March 1 2014
  • Firstpage
    100
  • Lastpage
    103
  • Abstract
    In this paper, the snowfall simulation equipment using expanded polystyrene beads (EPB) is described, which is for evaluating visibility performance of vision based sensors affected by visibility. The snowfall simulation equipment proposed in this paper generates vortex flow when it feeds EPB snowflakes with compressed air, then the EPB snowflakes are equally distributed to multiple ejection port by the vortex flow, and the snowflake is blow away in the specific space, in which the width of the space is controlled by the direction of each ejection port. Based on this process, the EPB snowflakes inhaled by the suction pipe are blow away from the multiple ejection ports of the branch nozzle, and they are piled up on the bottom, finally they are recycled for the snowfall simulation.
  • Keywords
    image sensors; nozzles; pipe flow; pipes; polymers; recycling; vortices; EPB; branch nozzle; compressed air; expanded polystyrene bead; multiple ejection port; recycling; snowfall simulation equipment; snowflake; suction pipe; visibility performance evaluation; vision based sensor; vortex flow generation; Atmospheric modeling; IEC standards; Robot sensing systems; Safety; Electro-sensitive protective equipment; Expanded polystyrene beads; Snowfall simulation; Visibility; Vision based sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2014 IEEE International Conference on
  • Conference_Location
    Busan
  • Type

    conf

  • DOI
    10.1109/ICIT.2014.6894980
  • Filename
    6894980