Research Areas 【 display / non-display 】

Research Areas 【 display / non-display 】

Papers 【 display / non-display 】

Papers 【 display / non-display 】

• Research on Ship Tracking Using Panorama Images - towards River Traffic -

  KONDO Masaki, MIYASHITA Tsuyoshi, IMAI Ryota, INAISHI Masaaki, FURUYA Tadasuke, NAKAGAWA Masaki , 2020

  The Journal of Japan Institute of Navigation

  DOI

• Measurement Report of LTE/3G Communication Environment in the Coastal Waters of Tokyo

  Shoji Ruri , 2019

  European Journal of Navigation

• Monitor System for Remotely Small Vessel Navigating

  Masaki Kondo, Ruri Shoji, Koichi Miyake, Tatasuke Furuya, Kohta Ohshima, Etsuro Shimizu, Masaaki Inaishi, Masaki Nakagawa , 2018.09

  HCI International 2018

• Research on Dynamic Object Tracking Using River Navigation Images - towards River Traffic -

  KONDO Masaki, INAISHI Masaaki, FURUYA Tadasuke, NAKAGAWA Masaki , 2018.07

  The Journal of Japan Institute of Navigation

  DOI

• The Monitor System for Remotely Small Vessel controlling

  Shoji Ruri , 2018

  20th International Conference, HIMI 2018, Held as Part of HCI International 2018, (LNCS 10905)

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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 】