Blar i NTNU Open på forfatter "Skulstad, Robert"
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Modeling and Analysis of Motion Data from Dynamically Positioned Vessels for Sea State Estimation
Cheng, Xu; Li, Guoyuan; Skulstad, Robert; Chen, Shengyong; Hildre, Hans Petter; Zhang, Houxiang (Chapter, 2019)Developing a reliable model to identify the sea state is significant for the autonomous ship. This paper introduces a novel deep neural network model (SeaStateNet) to estimate the sea state based on the ship motion data ... -
MPC-based path planning for ship collision avoidance under COLREGS
Zhu, Mingda; Skulstad, Robert; Zhao, Luman; Zhang, Houxiang; Li, Guoyuan (Chapter, 2022)In recent years, maritime operations have become more technologically demanding due to the more complex working condition and stricter safety requirements. The need to improve the performance of human-machine cooperation ... -
Multi-step Ship Roll Motion Prediction Based on Bi-LSTM and Input Optimization
Li, Shiyang; Wang, Tongtong; Li, Guoyuan; Skulstad, Robert; Zhang, Houxiang (Chapter, 2023)Ship roll is a crucial metric in assessing the vessel's safety in offshore operations. This paper investigates input selection for predicting short-term ship roll motion using the Bidirectional Long Short-Term Memory Network ... -
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 ... -
Object Detection with SSD for Dimension Extraction in a Manufacturing Facility
Pokharel, Dipanjan (Master thesis, 2022)Som i mange andre bransjer har Vision System hatt betydelig innvirkning i produksjonsindustrien. Det er imidlertid forstått at samme synssystemtilnærming ikke kan installeres for forskjellige produksjonsanlegg med forskjellige ... -
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 ... -
SAFENESS: A Semi-Supervised Transfer Learning Approach for Sea State Estimation Using Ship Motion Data
Cheng, Xu; Li, Guoyuan; Skulstad, Robert; Zhang, Houxiang (Journal article; Peer reviewed, 2023)Autonomous vessels have been identified as a promising innovation in advancing marine transportation, providing an effective means to mitigate the risk of accidents, pollution incidents, and carbon dioxide emissions. ... -
A sensitivity quantification approach to significance analysis of thrusters in dynamic positioning operations.
Wang, Chunlin; Li, Guoyuan; Skulstad, Robert; Cheng, Xu; Osen, Ottar Laurits; Zhang, Houxiang (Peer reviewed; Journal article, 2021)The safety of offshore operations is highly dependent on the dynamic positioning (DP) capability of a vessel. Meanwhile, DP capability comes down to the ability of the thrust generated by thrusters to counteract environmental ... -
Short-term ship roll motion prediction using the encoder–decoder Bi-LSTM with teacher forcing
Li, Shiyang; Wang, Tongtong; Li, Guoyuan; Skulstad, Robert; Zhang, Houxiang (Peer reviewed; Journal article, 2024)The safety of maritime operations has become a paramount concern with the advancement of intelligent ships. Ship stability and safety are directly impacted by roll motion, making the prediction of short-term ship roll ... -
SpectralSeaNet: spectrogram and convolutional network-based sea state estimation
Cheng, Xu; Li, Guoyuan; Skulstad, Robert; Zhang, Houxiang; Chen, Shengyong (Chapter, 2020)Sea State is significant to the operations on the sea. The traditional model-based approaches need lots of knowledge of vessels, which limit the real-world use. This paper proposes a spectrogram-based deep learning model ... -
Virtual prototyping: a case study of positioning systems for drilling operations in the Barents Sea
Major, Pierre Yann; Skulstad, Robert; Li, Guoyuan; Zhang, Houxiang (Journal article; Peer reviewed, 2019)This study proposes a framework for comparative study on three different positioning solutions for mobile offshore drilling units (MODUs) using high modulus polyethylene (HMPE) ropes, including active mooring with an HMPE ...