Multi-ship control and collision avoidance using MPC and RBF-based trajectory predictions
The field of automatic collision avoidance for surface vessels has been an active field of
research in recent years, aiming for the decision support of officers in conventional vessels …
research in recent years, aiming for the decision support of officers in conventional vessels …
Design of vessel data lakehouse with big data and AI analysis technology for vessel monitoring system
S Park, CS Yang, JW Kim - Electronics, 2023 - mdpi.com
The amount of data in the maritime domain is rapidly increasing due to the increase in
devices that can collect marine information, such as sensors, buoys, ships, and satellites …
devices that can collect marine information, such as sensors, buoys, ships, and satellites …
Machine learning models for vessel route forecasting: An experimental comparison
Maritime transport systems are essential to human mobility. A vital part of the maritime
transport systems is the accurate vessel route forecasting (VRF). However, accurate VRF is …
transport systems is the accurate vessel route forecasting (VRF). However, accurate VRF is …
Vessel trajectory prediction using radial basis function neural networks
This work presents a novel data-driven modeling approach for the direct prediction of a
vessel's trajectory through the use of AIS data. The proposed method is based on radial …
vessel's trajectory through the use of AIS data. The proposed method is based on radial …
A transformer-based method for vessel traffic flow forecasting
In recent years, the maritime domain has experienced tremendous growth due to the
exploitation of big traffic data. Particular emphasis has been placed on deep learning …
exploitation of big traffic data. Particular emphasis has been placed on deep learning …
Pythia: Distributed Pattern-based Future Location Prediction of Moving Objects
Predictive analytics over mobility data is a domain that has received a lot of attention by the
research community the past few years and encapsulates a wide range of sub-problems …
research community the past few years and encapsulates a wide range of sub-problems …
Multi-robot routing for monitoring areas with different importance considering failure-prone agents
RF dos Santos - 2023 - repositorio.ufmg.br
O monitoramento de áreas é uma tarefa importante em diversas atividades, como em
missões de busca e salvamento e no monitoramento ambiental e agrícola. Neste trabalho …
missões de busca e salvamento e no monitoramento ambiental e agrícola. Neste trabalho …
[ΑΝΑΦΟΡΑ][C] Optimización de operaciones de fiscalización pesquera con predicción de posición mediante Machine Learning.
J Espinoza Llanos - 2021 - Universidad de Concepción.