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Usui Kengo  有水 賢吾

ORCIDConnect your ORCID iD *help
Researcher Number 00781642
Other IDs
Affiliation (Current) 2026: 国立研究開発法人森林研究・整備機構, 森林総合研究所, 主任研究員 等
Affiliation (based on the past Project Information) *help 2025: 国立研究開発法人森林研究・整備機構, 森林総合研究所, 研究員
2020 – 2022: 国立研究開発法人森林研究・整備機構, 森林総合研究所, 研究員
Review Section/Research Field
Principal Investigator
Basic Section 40010:Forest science-related
Keywords
Principal Investigator
林業機械 / 大規模言語モデル / 森林利用 / 林業工学 / 荷役作業 / 自動化 / セグメンテーション
  • Research Projects

    (2 results)
  • Research Products

    (4 results)
  •  Development of a Risk Prediction System for Autonomous Forest Machinery Using Large Language ModelsPrincipal Investigator

    • Principal Investigator
      有水 賢吾
    • Project Period (FY)
      2025 – 2026
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 40010:Forest science-related
    • Research Institution
      Forest Research and Management Organization
  •  Development of log shape detection for supporting loading operation on forest machineryPrincipal Investigator

    • Principal Investigator
      Usui Kengo
    • Project Period (FY)
      2020 – 2022
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 40010:Forest science-related
    • Research Institution
      Forest Research and Management Organization

All 2023 2022 2021

All Journal Article Presentation

  • [Journal Article] Estimation of grappling log position using a stereo camera for autonomous log-loading2023

    • Author(s)
      有水 賢吾
    • Journal Title

      Journal of The Japan Forest Engineering Society

      Volume: 38 Issue: 1 Pages: n/a

    • DOI

      10.18945/jjfes.38.35

    • ISSN
      1342-3134, 2189-6658
    • Year and Date
      2023-01-31
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K15560
  • [Presentation] 荷役作業自動化のための材形状推定における自動機械学習の適用2022

    • Author(s)
      有水賢吾
    • Organizer
      日本森林学会第133回大会
    • Data Source
      KAKENHI-PROJECT-20K15560
  • [Presentation] インスタンスセグメンテーションによるロバストな材検出手法2021

    • Author(s)
      有水賢吾
    • Organizer
      第132回日本森林学会大会
    • Data Source
      KAKENHI-PROJECT-20K15560
  • [Presentation] Log Shape Segmentation by Deep Learning for Autonomous Log Loading2021

    • Author(s)
      Kengo Usui
    • Organizer
      The Joint 43rd Annual Meeting of Council on Forest Engineering (COFE) & the 53rd International Symposium on Forest Mechanization (FORMEC)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K15560

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