3 papers
cs.CY2020
Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean
Duong Nguyen, Matthieu Simonin, Guillaume Hajduch +3
The constant growth of maritime traffic leads to the need of automatic anomaly detection, which has been attracting great research attention. Information provided by AIS (Automatic…
cs.LG2019
GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection
Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch +2
Representing maritime traffic patterns and detecting anomalies from them are key to vessel monitoring and maritime situational awareness. We propose a novel approach -- referred to…
cs.LG2018
A Multi-task Deep Learning Architecture for Maritime Surveillance using AIS Data Streams
Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch +2
In a world of global trading, maritime safety, security and efficiency are crucial issues. We propose a multi-task deep learning framework for vessel monitoring using Automatic Ide…