Comunicação em evento científico
Vessel trajectories outliers
Tomás Machado (Machado, T.); Rui Maia (Maia, R.); Pedro Santos (Santos, P.); Joao C Ferreira or Joao Ferreira (Ferreira, J.);
Título Actas Evento
9th International Symposium on Ambient Intelligence, ISAmI 2018
Ano
2019
Língua
Inglês
País
Suíça
Mais Informação
Abstract/Resumo
In this work we describe our first steps towards our H2020 project MARISA participation, where we intent to develop a tool-kit towards the identification of outliers in Vessel trajectories based on electronic data regarding position and time. These outliers can correspond to illegal activities that could be related with illegal immigration, drugs transshipment among others. We developed process tools that based on any electronic Vessel position systems, like Automatic Identification System (AIS) data, it is possible to extract routes in an unsupervised approach. At the same time identify non-conformities based on AIS data signal lost and to identify situation when two or more Vessels are approaching close to each other, called the rendezvous.
Palavras-chave
AIS,Outliers,Rendezvous,Trajectory,Vessel
Registos de financiamentos
Referência de financiamento Entidade Financiadora
UID/MULTI/0446/2013 Fundação para a Ciência e a Tecnologia