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Showing 1 to 3 of 3 for “"Ship Driving"”.

  1. Comparing Potential Fields and Velocity Obstacles for Rules of the Road Compliant Ship Driving

    … for nautical rules of the road compliant ship driving and collision avoidance: one that uses genetic algorithm trained potential fields, and one that determines a new trajectory from velocity obstacles and the closest point of approach. Prior work has used a variety of methods for ship

    unr Repository record for Comparing Potential Fields and Velocity Obstacles for Rules of the Road Compliant Ship Driving (opens in a new tab)

  2. Multi-contact protocol-constrained collision avoidance for autonomous marine vehicles

    … more realistically represent and evaluate human ship driving practices. Novel protocol-constrained collision avoidance evaluation algorithms are proposed including the ability to perform both on-line and post-mission analysis of both robots and humans. These algorithms become especially important …

    mit Repository record for Multi-contact protocol-constrained collision avoidance for autonomous marine vehicles (opens in a new tab)

  3. A Deep Learning-Based Automatic Object Detection Method for Autonomous Driving Ships

    … in handling challenges pertaining to autonomous ship driving has substantially increased over the years.</p> <p>In this thesis, we study, design, and implement an object recognition framework that detects and recognizes objects found in the sea. We first curated a Sea-object Image Dataset (SID) …

    usm Repository record for A Deep Learning-Based Automatic Object Detection Method for Autonomous Driving Ships (opens in a new tab)