Enhancing Maritime Safety: Estimating Collision Probabilities with Trajectory Prediction Boundaries Using Deep Learning Models

Enhancing Maritime Safety: Estimating Collision Probabilities with Trajectory Prediction Boundaries Using Deep Learning Models

We investigate maritime accidents near Bornholm Island in the Baltic Sea, focusing on one of the most recent vessel collisions and a way to improve maritime safety as a prevention strategy. By leveraging Long Short-Term Memory autoencoders, a class of deep recurrent neural networks, this research de...

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Bibliographic Details
Main Authors: Robertas Jurkus, Julius Venskus, Jurgita Markevičiūtė, Povilas Treigys
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Sensors
Subjects:
collision risk score
conformal prediction regions
long short-term memory
uncertainty quantification
vessel collision detection
vessel trajectory prediction boundaries
Online Access:https://www.mdpi.com/1424-8220/25/5/1365
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