Research Interests 【 display / non-display 】

Research Interests 【 display / non-display 】

Research Areas 【 display / non-display 】

Research Areas 【 display / non-display 】

Papers 【 display / non-display 】

Papers 【 display / non-display 】

• Development and Experimental Verification of an Autonomous Navigation Program for Small Vessels

  YANG Ayoung, ISHIBASHI Atsushi, IMAI Ryota, TAKEMOTO Takahiro, FURUYA Tadasuke , 2026.09

  Transactions of Navigation

  DOI

• Intent Visualization Framework for Small Autonomous Vessels

  IMAI Ryota, ISHIBASHI Atsushi, YANG Ayoung, TAKEMOTO Takahiro, FURUYA Tadasuke , 2026.09

  Transactions of Navigation

  DOI

• Risk Visualization on 3D Environmental Maps for Navigational Safety in Complex Waterways

  YANG Ayoung, ISHIBASHI Atsushi, IMAI Ryota, TAKEMOTO Takahiro, FURUYA Tadasuke , 2026.09

  Transactions of Navigation

  DOI

• 自律航行船に向けた都市河川の 3 次元地図構築と自己位置推定に向けて

  今井　亮太,　梁　雅英,　古谷　雅理 , 2026.03

  日本写真測量学会 令和8年度年次学術講演会予稿集

• The Development of an Integrated Information Display System for Ship Navigation

  Ayoung YANG, Ryota IMAI, Atsushi Ishibashi, Tadasuke Furuya , 2025.12

  IEEE Conference on Systems, Process & Control (ICSPC)

  DOI

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Grant-in-Aid for Scientific Research 【 display / non-display 】

Grant-in-Aid for Scientific Research 【 display / non-display 】

• Heterogeneous network cooperation type multi-path communication control method at sea

  Project Period (FY)： 2019/04  -  2022/03  Investigator(s): 大島 浩太

  Grant-in-Aid for Scientific Research(C)  Co-Investigator  19K11919 

• A Research on realization for Remotely Operated Maritime Autonomous Surface Ships -Including the verification by actual ship experiments-

  Project Period (FY)： 2017/04  -  2020/03  Investigator(s): Shoji Ruri

  Grant-in-Aid for Scientific Research(A)  Co-Investigator  17H01356 

  Maritime Autonomous Surface Ships are developed and researched around the world to solve the current shipping problems. In this study, we developed and constructed remote control system of Shioji maru using Advanced Navigation System and the Virtual Shioji Maru of Tokyo University of Marine Science and Technology and conducted full-scale experiments twice. We studied on monitoring of the environment around the vessel using a multi-point laser transmitter/receiver sensor and on self-location estimation incorporating LiDAR for small craft.
  Using the obstacle zone by target (OZT) theory, we advanced the study on the avoidance algorithm as a medium-term action (avoidance of the ship before the risk of collision becomes apparent) takes into account the fluctuations in other ship's behavior and the expected behavior of target ship considering encounters between other ships.

• 動物顔面パターン認識装置を用いた里山の食肉目群集の保全

  Project Period (FY)： 2010/04  -  2013/03 

  Grant-in-Aid for challenging Exploratory Research  Co-Investigator  22651086 

Lesson Subject 【 display / non-display 】

Lesson Subject 【 display / non-display 】