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Nicola Forti

2 accepted papers

2020

Prediction oof Vessel Trajectories From AIS Data Via Sequence-To-Sequence Recurrent Neural Networks

ICASSP 2020accepted

In this paper, we address the problem of predicting vessel trajectories based on Automatic Identification System (AIS) data. The goal is to learn the predictive distribution of maritime traffic patterns using historical data during the training phase, in order to be able to forecast future target tr…

Cited by 0SourceScholar
2019

Anomaly Detection and Tracking Based on Mean-Reverting Processes with Unknown Parameters

ICASSP 2019accepted

Piecewise mean-reverting stochastic processes have been recently proposed and validated as an effective model for long-term object prediction. In this paper, we exploit the Ornstein-Uhlenbeck (OU) dynamic model to represent an anomaly as any deviation of the long-run mean velocity from the nominal c…

Cited by 0SourceScholar