Blar i NTNU Open på forfatter "Kanazawa, Motoyasu"

Viser treff 1-7 av 7

    • Bag and floater motions of a fabric membrane cage 

      Mukhlas, Muhammad; Lader, Pål Furset; Kristiansen, David; Kristiansen, Trygve; Kanazawa, Motoyasu (Journal article; Peer reviewed, 2021)

    • Co-simulation-based Pre-training of a Ship Trajectory Predictor 

      Kanazawa, Motoyasu; Hatledal, Lars Ivar; Li, Guoyuan; Zhang, Houxiang (Chapter, 2022)
      A ship trajectory predictor plays a key role in the predictive decision making of intelligent marine transportation. For better prediction performance, the biggest technical challenge is how we incorporate prior knowledge, ...

    • Data-driven enhancement to ship dynamic model for motion prediction 

      Kanazawa, Motoyasu (Doctoral theses at NTNU;2023:247, Doctoral thesis, 2023)
      Ensuring safety and efficiency is the most critical agenda for the maritime industry. It is essential to have a good understanding of ship dynamics and make accurate predictions of ship motion. This enables us to properly ...

    • Knowledge and data in cooperative modeling: Case studies on ship trajectory prediction 

      Kanazawa, Motoyasu; Wang, Tongtong; Skulstad, Robert; Li, Guoyuan; Zhang, Houxiang (Peer reviewed; Journal article, 2022)
      A ship automation will be a key to the future maritime. In particular, ship dynamic models play an integral role. However, it is challenging to develop an accurate model readily. Recent studies proposed a physics-data ...

    • Knowledge transfer strategy for enhancement of ship maneuvering model 

      Wang, Tongtong; Skulstad, Robert; Kanazawa, Motoyasu; Li, Guoyuan; Zhang, Houxiang (Peer reviewed; Journal article, 2023)
      The advancement of autonomous vehicles and concerns about ship navigation safety have resulted in a greater need for ship model quality. However, in situations where there is limited prior information or data available ...

    • A multiple-output hybrid ship trajectory predictor with consideration for future command assumption 

      Kanazawa, Motoyasu; Skulstad, Robert; Li, Guoyuan; Hatledal, Lars Ivar; Zhang, Houxiang (Peer reviewed; Journal article, 2021)
      Onboard sensors contribute to data-driven understanding of complex and nonlinear ship dynamics in real time. By using sensors, precise ship trajectory prediction plays a key role in intelligent collision avoidance. A hybrid ...

    • Physics-data cooperative ship motion prediction with onboard wave radar for safe operations 

      Kanazawa, Motoyasu; Wang, Tongtong; Skulstad, Robert; Li, Guoyuan; Zhang, Houxiang (Chapter, 2023)
      The advancement of sensing technologies brings digitalization into the field of offshore operations. Especially, practitioners have paid attention to ensuring operational safety by predicting ship motion with motion sensors ...