Multi-ship control and collision avoidance using MPC and RBF-based trajectory predictions

M Papadimitrakis, M Stogiannos, H Sarimveis… - Sensors, 2021 - mdpi.com
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 …

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 …

Machine learning models for vessel route forecasting: An experimental comparison

E Chondrodima, P Mandalis, N Pelekis… - 2022 23rd IEEE …, 2022 - ieeexplore.ieee.org
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 …

Vessel trajectory prediction using radial basis function neural networks

M Stogiannos, M Papadimitrakis… - IEEE EUROCON …, 2021 - ieeexplore.ieee.org
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 …

A transformer-based method for vessel traffic flow forecasting

P Mandalis, E Chondrodima, Y Kontoulis, N Pelekis… - GeoInformatica, 2024 - Springer
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 …

Pythia: Distributed Pattern-based Future Location Prediction of Moving Objects

P Tampakis, N Pelekis - CEUR Workshop Proceedings, 2024 - portal.findresearcher.sdu.dk
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 …

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 …

[引用][C] Optimización de operaciones de fiscalización pesquera con predicción de posición mediante Machine Learning.

J Espinoza Llanos - 2021 - Universidad de Concepción.