Predicting Vessel Tracks in Waterways Using Bi-LSTM Models

Minßen, Finn-Matthis and Steidel, Matthias and Niemi, Arto Turo Olavi (2023) Predicting Vessel Tracks in Waterways Using Bi-LSTM Models. European Workshop on Maritime Systems Resilience and Security (MARESEC 2023), 2023-06-27, Virtuell.

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Item URL in elib:

https://elib.dlr.de/197553/

Document Type:

Conference or Workshop Item (Speech)

Title:

Predicting Vessel Tracks in Waterways Using Bi-LSTM Models

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Minßen, Finn-Matthis	finn-matthis.minssen (at) dlr.de	UNSPECIFIED	UNSPECIFIED
Steidel, Matthias	matthias.steidel (at) dlr.de	https://orcid.org/0000-0002-2912-7625	UNSPECIFIED
Niemi, Arto Turo Olavi	Arto.Niemi (at) dlr.de	https://orcid.org/0000-0001-6307-9826	UNSPECIFIED

Date:

2023

Refereed publication:

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Accepted

Keywords:

behavior prediction, collision avoidance, data analysis, AI

Event Title:

European Workshop on Maritime Systems Resilience and Security (MARESEC 2023)

Event Location:

Virtuell

Event Type:

Workshop

Event Date:

27 June 2023

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Transport

HGF - Program Themes:

Transport System

DLR - Research area:

Transport

DLR - Program:

V VS - Verkehrssystem

DLR - Research theme (Project):

V - FuturePorts

Location:

Oldenburg

Institutes and Institutions:

Institute of Systems Engineering for Future Mobility > Application and Evaluation
Institute for the Protection of Maritime Infrastructures > Reslience of Maritime Systems

Deposited By:

Steidel, Dr.-Ing. Matthias

Deposited On:

28 Sep 2023 08:20

Last Modified:

24 Apr 2024 20:57

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