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Kunitomi Shouhei  國富 将平

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國富 将平  クニトミ ショウヘイ

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Researcher Number 10838014
Other IDs
Affiliation (Current) 2025: 一般財団法人日本自動車研究所, 安全研究部, 研究員
Affiliation (based on the past Project Information) *help 2019 – 2021: 一般財団法人日本自動車研究所, 安全研究部, 研究員
Review Section/Research Field
Principal Investigator
Basic Section 25020:Safety engineering-related
Keywords
Principal Investigator
AACN / シミュレーションモデル / 衝突安全 / 画像認識 / 深層学習 / 歩行者 / 傷害予測 / 事故自動通報
  • Research Projects

    (1 results)
  • Research Products

    (6 results)
  •  Establishment of injury severity prediction of pedestrian at car-pedestrian accidents using deep learning methodologyPrincipal Investigator

    • Principal Investigator
      Kunitomi Shouhei
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 25020:Safety engineering-related
    • Research Institution
      Japan Automobile Research Institute

All 2021

All Journal Article Presentation Patent

  • [Journal Article] Effect of pedestrian physique differences on head injury prediction in car-to-pedestrian accidents using deep learning2021

    • Author(s)
      Kunitomi Shouhei、Takayama Shinichi
    • Journal Title

      Traffic Injury Prevention

      Volume: 22 Issue: sup1

    • DOI

      10.1080/15389588.2021.1981886

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K15256
  • [Journal Article] Application of Deep Learning Methods for Pedestrian Collision Detection2021

    • Author(s)
      Shouhei Kunitomi,Shinichi Takayama, Masayuki Shirakawa
    • Journal Title

      Stapp Car Crash Journal

      Volume: 64 Pages: 291-321

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19K15256
  • [Patent] 衝突傷害予測方法,衝突傷害予測システム及び先進事故自動通報システム2021

    • Inventor(s)
      國富将平
    • Industrial Property Rights Holder
      國富将平
    • Industrial Property Rights Type
      特許
    • Industrial Property Number
      2021-028113
    • Filing Date
      2021
    • Data Source
      KAKENHI-PROJECT-19K15256
  • [Presentation] マルチモーダル深層学習による子供歩行者頭部傷害予測2021

    • Author(s)
      國富 将平
    • Organizer
      2021年度 人工知能学会全国大会(第35回)
    • Data Source
      KAKENHI-PROJECT-19K15256
  • [Presentation] マルチモーダル深層学習による子供歩行者頭部傷害予測2021

    • Author(s)
      國富 将平
    • Organizer
      第35回 人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-19K15256
  • [Presentation] Effect of Pedestrian Physique Differences on Head Injury Prediction in Car-to-pedestrian Accidents Using Deep Learning2021

    • Author(s)
      Kunitomi Shouhei
    • Organizer
      Association for the Advancement of Automotive Medicine (AAAM)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K15256

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