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FURUYA TADASUKE
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Research Areas 【 display / non-display 】
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Informatics / Intelligent informatics / 画像処理 画像認識
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Informatics / Human interface and interaction
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Informatics / Software
Papers 【 display / non-display 】
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3D Environmental Map for Navigational Safety in Autonomous Ship Operations
Ayong Yang, Atsushi Ishibashi, Ryota Imai, Tsuyoshi MIYASHITA, Tadasuke FURUYA , 2025.02
Springer Proceedings of Tenth International Congress on Information and Communication Technology ICICT 2025, London, Volume 3
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Design and Implementation of Ship Navigational Information System using Smartphone Sensor Data
Ayong Yang, Atsushi Ishibashi, Ryota Imai, Tsuyoshi MIYASHITA, Tadasuke FURUYA , 2025.02
Springer Proceedings of Tenth International Congress on Information and Communication Technology ICICT 2025, London, Volume 3
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Development of an Autonomous Navigation System for Small Vessels Using Remote Control
Ayoung YANG, Atushi ISHIBASHI, Ryota Imai, Tadasuke Furuya , 2024.07
IV. International Conference on Electrical, Computer and Energy Technologies (ICECET 2024)
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Interface Design for Small Vessels in Autonomous Navigation Systems
Ryota Imai, Atsushi Ishibashi, Takahiro Takemoto, Ayong Yang, Tadasuke FURUYA , 2024.03
MLHMI 2025 CPS Conference Proceedings
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Design of a LiDAR-based Point cloud data image Program for Ship safety domain Visualization
Ayoung Yang, Ryota Imai, Tadasuke Furuya , 2024.03
2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications
Grant-in-Aid for Scientific Research 【 display / non-display 】
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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
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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. -
Project Period (FY): 2010/04 - 2013/03
Grant-in-Aid for challenging Exploratory Research Co-Investigator 22651086
Lesson Subject 【 display / non-display 】
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Lesson Subject(Undergraduate)
Algorithm
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アルゴリズム
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Graduation Thesis
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Information Literacy
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情報リテラシー
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Maritime Systems Engineering Seminar Ⅱ
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海事システム工学ゼミナールⅡ
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Maritime Systems Engineering Seminar Ⅲ
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Maritime Systems Engineering Laboratory and Exercise Ⅰ
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海事システム工学実験演習Ⅰ
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Maritime Systems Engineering Laboratory and Exercise Ⅲ
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海事システム工学実験演習Ⅲ
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Lesson Subject(Graduate School)
Practice of image information processing
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Image information processing
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Knowledge Information Systems Laboratory