Blar i SINTEF Open på emneord "Collision avoidance"

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    • Comparing Deep Reinforcement Learning Algorithms’ Ability to Safely Navigate Challenging Waters 

      Larsen, Thomas Nakken; Teigen, Halvor Ødegård; Laache, Torkel; Varagnolo, Damiano; Rasheed, Adil (Peer reviewed; Journal article, 2021)
      Reinforcement Learning (RL) controllers have proved to effectively tackle the dual objectives of path following and collision avoidance. However, finding which RL algorithm setup optimally trades off these two tasks is not ...

    • Human Factors Issues in Maritime Autonomous Surface Ship Systems Development 

      Karvonen, Hannu; Martio, Jussi (SINTEF Proceedings;3, Chapter; Conference object; Peer reviewed, 2019)
      The human side of highly automated maritime systems can often be neglected in their development. Paradoxically, history and scientific studies have shown that with highly automated systems, there is still a crucial need ...