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Estimation of Pedestrian Context based on Interaction of circulation with active real environment

Research Project

Project/Area Number 26330295
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Intelligent robotics
Research InstitutionThe University of Tokyo

Principal Investigator

Wakuda Yuki  東京大学, 大学院情報学環, 特任助教 (00377847)

Project Period (FY) 2014-04-01 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Keywords学習 / 概念獲得 / コンテキストアウェア / モデリング / 測位 / ナビゲーション / 機械学習 / PDR
Outline of Final Research Achievements

In this research, we call human's situation and actions as Context, and with regard to the movement of pedestrians as a subject, This research tackled human' s Context estimation. Based on the sensor data that observed human motion (walking, stair climbing up and down, forward traveling, overtaking of obstacles), It is estimated each of these motions and estimate the chain of information indicating human behavior as Context. With respect to the proposed method, experiments have been conducted by using experimental data on data obtained from 1-kHz sampling of 3-axis acceleration, triaxial angular velocity, triaxial geomagnetism, and pressure data for human motion. Moreover, by modeling the transition of Context, this research built a model that estimates the next action and the Intention of the person who estimates the direction and destination of movement.

Report

(5 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Research-status Report
  • 2015 Research-status Report
  • 2014 Research-status Report
  • Research Products

    (2 results)

All 2018 2015

All Journal Article (1 results) (of which Peer Reviewed: 1 results) Presentation (1 results)

  • [Journal Article] UAV及び深層学習を用いた植生の自動判別による河道維持管理手法の開発2018

    • Author(s)
      齋藤正徳, 湧田雄基, 市川健, 天谷香織, 那須野新, 大石哲也, 池内幸司, and 石川雄章
    • Journal Title

      土木学会論文集B1(水工学)

      Volume: 74-4

    • NAID

      130007628281

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Presentation] 点検データ分析による高速道路床版の変状状態推定2015

    • Author(s)
      湧田 雄基, 木村 信隆, 小林 克久, 市川 暢之, 広瀬 剛, 長内 圭太, 松坂 敏博, 石川 雄章
    • Organizer
      電子情報通信学会, 研究報告コンピュータビジョンとイメージメディア (CVIM)
    • Place of Presentation
      愛媛大学, 愛媛県松山市文京町
    • Year and Date
      2015-09-14
    • Related Report
      2015 Research-status Report

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Published: 2014-04-04   Modified: 2019-03-29  

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