INNO2MARE

INNO2MARE
  • PILOT PROJECT 3 – AUTONOMOUS SHIPPING TECHNOLOGY SUPPORTED BY AI

    • CHALLENGE! To build a model for the automatic detection of potentially reckless and inexperienced personal watercraft drivers, monitor rental boats, and predict the driving behavior of motorboat operators
    • GOAL: To assist in creating the autonomous ship DSSandto assist in creating a new speed-limiting algorithm for small personal watercraft operators that could replace the existing proximity-based approach.
    • HOW? Computer Vision utilization.Detecting trajectory anomalies using inflection point sequences, and using a Bayesian, Markov chain, and different machine learning models for forecasting.
    • WHY? To provide the necessary information in building the deep learning autonomous shipping and safe navigation model. To provide the necessary information to avoid collisions and hazards, especially in crowded spaces during the peak of the tourist season in crowded or narrow areas.
    • FINAL RESULT: Anomaly detection, and forecasting models for small personal vessels.
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  • Schermafbeelding 2026 03 31 135943
        • Presentation date
        • 27/03/2026
        • Speaker
        • Petra Pintar - Researcher at the Faculty of Mechanical Engineering
        • Company
        • University of Ljubljana
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