Probabilistic Maritime Trajectory Prediction in Complex Scenarios Using Deep Learning

Maritime activity is expected to increase, and therefore also the need for maritime surveillance and safety. Most ships are obligated to identify themselves with a transponder system like the Automatic Identification System (AIS) and ships that do not, intentionally or unintentionally, are referred...

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Detalles Bibliográficos
Autores principales: Sørensen, Kristian Aalling, Heiselberg, Peder, Heiselberg, Henning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915042/
https://www.ncbi.nlm.nih.gov/pubmed/35271206
http://dx.doi.org/10.3390/s22052058

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915042/
https://www.ncbi.nlm.nih.gov/pubmed/35271206
http://dx.doi.org/10.3390/s22052058

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