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https://github.com/smilell/AG-CNN Experimental results are shown in Tab. 12, 13, 14, 15 and 16.“A” in the tables means balanced accuracy,“E” is the widely used overlapping error, and δ denotes absolute CDR error. Table 12. Summary of several results for OD/OC segmentation on Dr...
1.2. Vessel Trajectory Prediction in Deep Learning Generally, vessel trajectory data can be represented as a set of multi-dimensional spatial–temporal sequences {(𝑝1, 𝑎1,𝑡1p1, a1,t1), (𝑝2, 𝑎2,𝑡2p2, a2,t2), (𝑝3, 𝑎3,𝑡3p3, a3,t3),…, (𝑝𝑛, 𝑎𝑛...
Trajectory tracking of autonomous vessels using model predictive control. In Proceedings of the 19th World Congress, The International Federation of Automatic Control, Cape Town, South Africa, 24–29 August 2014; pp. 8812–8818. [Google Scholar] Eriksen, B.H.; Breivik, M.; Wilthil, E.F.; ...
This approach’s superiority over the physics model underscores the neural network’s crucial role in capturing long sequential behaviors through a vast history of data for accurate trajectory prediction, indicating that relying solely on physical principles falls short. In summary, physics-based LSTM ...