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Vessel Trajectories Outliers

EasyChair Preprint no. 163

8 pagesDate: May 24, 2018


In this work we describe our first steps towards our H2020 project MARISA [] participation, where we intent to develop a toolkit 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 trans-shipments among others. We developed process tools that based on any elec-tronic 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.

Keyphrases: AIS, Outliers, rendezvous, trajectory, Vessel

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Tomas Machado and Rui Maia and Pedro Santos and João Ferreira},
  title = {Vessel Trajectories Outliers},
  howpublished = {EasyChair Preprint no. 163},
  doi = {10.29007/vv3k},
  year = {EasyChair, 2018}}
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