Rchr
J-GLOBAL ID：200901020534424484
Update date: Jun. 27, 2024
Kobayashi Mitsuru
コバヤシ ミツル | Kobayashi Mitsuru
Affiliation and department：
Job title：
Group Leader
Research field (1)：
Marine and maritime engineering
Research keywords (5)：
Artificial Intelligence
, weather routing
, Optimization
, ship performance at sea
, maritime logistics
Research theme for competitive and other funds (12)：
- 2023 - 2026 Real-time current estimation by assimilating vessel drifts by AIS to surface current forecast
- 2020 - 2024 Study for Floating Obstacles Detection by Shipboard Cameras
- 2017 - 2020 AIS-based high precision Coastal Current Estimation
- 2014 - 2017 Distribution of the integrated wide RADAR image based on the onboard and onshore RADAR images utilizing cloud server
- 2014 - 2017 Improvement of ship speed estimation using voyage history and other ships' information
- 2013 - 2016 航海・配船計画支援システム導入による船舶からのCO2排出削減実証事業
- 2011 - 2013 Method and Evaluation of a Simplified Propulsion Performance Estimation for Eco-Friendly Navigation Planning Support System
- 2010 - 2012 Construction of the Real-time Sea Hazard Map by Wireless LAN Radiocommunication between Ships
- 2009 - 2011 内航船の環境調和型運航計画支援システムと 陸上交通情報連携に関する実用化研究開発
- 2009 - 2010 Research and Development into Environment-Friendly Operation Planning Support Systems for Coastal Vessels
- 2006 - 2009 内航船の環境調和型運航計画支援システムの研究開発
- 2005 - 2006 遺伝的アルゴリズムを用いた外航定期船航路編成生成システムの研究開発
Show all
Papers (19)：
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Mitsuru KOBAYASHI, Keiji SATO, Keisuke TOITA. Development of Program for Detection of Unspecified Floating Obstacles from Camera Images. The Journal of Japan Institute of Navigation. 2024. 149. 48-55
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Chihiro Nishizaki, Masako Takenaka, Yurie Hirai, Tadatsugi Okazaki, Mitsuru Kobayashi. Development of Prediction System for Ship Movements Using Machine Learning and Radar Images. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2022
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R Miyake, J Kudo, E Ishimura, H Itoh, T Yuzui, M Shiokari, S Kawashima, K Hirata, Y Niki, M Kobayashi, et al. Application of Dynamic-Task-Based Hazard Identification Method to Remote Operation of Experimental Ship Shinpo. Journal of Physics: Conference Series. 2022. 2311. 1. 012013-012013
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M Minami, M Kobayashi, K Hikida, K Kokubun. Development of the Comprehensive Simulation System for Autonomous Ships. Journal of Physics: Conference Series. 2022. 2311. 1. 012012-012012
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Mitsuru Kobayashi, Yasuyuki Niwa, Junji Fukuto, Kazuharu Iwasaki. Ship Detection Experiments in Uraga Channel using Visible Light / Far-Infrared Images and Deep Learning. 2021. 20. 4. 29-40
ｍore...
MISC (37)：
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KOBAYASHI Mitsuru. Ship Drift Estimation by Using AIS Navigation Data. NAVIGATION. 2019. 207. 0. 22-22
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小林 充, 丹羽 康之, 福戸 淳司, 岩崎 一晴. 沿岸カメラ画像からの船影の検出と船種の認識への深層学習の適用 (特集 人工知能技術の船舶海洋分野での活用). Kanrin : bulletin of the Japan Society of Naval Architects and Ocean Engineers = 咸臨 : 日本船舶海洋工学会誌. 2018. 79. 28-31
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Sato Yoshiko, Shoji Ruri, Matsuura Kuniaki, Kobayashi Mitsuru. Development of the Eco-Navigation Planning System for Domestic Vessel and Considerations of the Simplified Method(Asia Navigation Conference 2015). NAVIGATION. 2016. 195. 0. 91-92
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NIWA Yasuyuki, MOTOGI Hisaya, NISHIZAKI Chihiro, URAKAMI Misako, KOBAYASHI Mitsuru, MINAMI Makiko, SETA Takahiro. Radiocommunication Trial between Ships by Wireless LAN Using Directional Antennas(Asia Navigation Conference 2015). NAVIGATION. 2016. 195. 0. 112-112
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Establishment of Simplified Eco-Navigation planning System and its Demonstration Experiment. 2015. 20. 449-452
ｍore...
Patents (5)：
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海流推定方法及び海流推定システム
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配船計画作成装置、プログラム及び配船計画作成方法
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航路情報相互交換システム
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船舶の対陸上基地通信システム
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オンライン手書き文字認識方法
Lectures and oral presentations (57)：
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Development of Program for Detection of Unspecified Floating Obstacles from Camera Images
(2023)
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立体視による他船検出・位置推定システムの 研究
(日本航海学会第141回講演会 2019)
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Ship Image Detection from Landscape Images Using Deep Learning
(日本船舶海洋工学会講演会論文集 Conference proceedings, the Japan Society of Naval Architects and Ocean Engineers 2018)
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Collision avoidance systems and their structure in ship handling simulator for autonomous ships
(The Proceedings of the Transportation and Logistics Conference 2018)
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Study on Ship Detection from Images of Onshore Camera
(The Proceedings of the Transportation and Logistics Conference 2018)
ｍore...
Education (4)：
- 2017 - 2020 Tokyo University of Marine Science and Technology Graduate School of Marine Science and Technology Course of Applied Marine Environmental Studies
- 1995 - 2000 The University of Tokyo
- 1991 - 1993 Waseda University
- 1987 - 1991 Waseda University School of Science and Engineering
Professional career (2)：
- Master of Engineering (Waseda University)
- Doctor of Engineering (Tokyo University of Marine Science and Technology)
Work history (5)：
- 2020/08 - 現在 National Maritime Research Institute Knowledge & Data System Department Group Leader, Knowledge System Research Group
- 2017/07 - 現在 National Maritime Research Institute Knowledge & Data System Department Chief Researcher
- 2011/04 - 2017/06 National Maritime Research Institute Research Center for Navigation Planning Technology Chief Researcher
- 2010/04 - 2011/03 National Maritime Research Institute Logistics Research Center Chief Researcher
- 2002/04 - 2010/03 National Maritime Research Institute Logistics Research Group Researcher
Committee career (1)：
- 2019 - 2020 Japan Ship Technology Research Association Committee for Maritime Image Recognition System
Awards (1)：
- 2021 - 一般財団法人 山縣記念財団 山縣勝見賞論文賞 内航船ウェザールーティングの開発と改善に関する研究
Association Membership(s) (2)：
JAPAN INSTITUTE OF NAVIGATION
, THE JAPAN SOCIETY OF NAVAL ARCHITECTS AND OCEAN ENGINEERS
