Publikation
Bi-directional LSTM Applied to the Maritime Target Motion Analysis Problem
Lars Nolle; Nils Meinardus; Martin Kumm; Christoph Tholen
In: Artificial Intelligence XLI. SGAI International Conference on Artificial Intelligence (AI-2024), 44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17–19, 2024, Proceedings, Part II, December 17-19, Cambridge, United Kingdom, Pages 270-275, SGAI (SGAI 2024), Vol. 15447, Springer Nature Switzerland, Cham, 11/2024.
Zusammenfassung
In this work, a bi-directional LSTM has been employed to predict the future positions of a maritime vessel, known as the target, based on noisy estimates of its previous and current positions. In a first set of experiments, plain trajectories generated by a simulation were used for training and noisy trajectories were used for testing. In a second set of experiments, noisy trajectories were used for training and testing. The accuracy and the loss achieved in both sets of experiments have demonstrated that this type of network is capable of solving the Target Motion Analysis problem.