3 papers
cs.LG2025
Reliability comparison of vessel trajectory prediction models via Probability of Detection
Zahra Rastin, Kathrin Donandt, Dirk Söffker
This contribution addresses vessel trajectory prediction (VTP), focusing on the evaluation of different deep learning-based approaches. The objective is to assess model performance…
cs.LG2025
Polynomial Chaos Expanded Gaussian Process
Dominik Polke, Tim Kösters, Elmar Ahle +1
In complex and unknown processes, global models are initially generated over the entire experimental space but often fail to provide accurate predictions in local areas. A common a…
cs.LG2024
Incorporating Navigation Context into Inland Vessel Trajectory Prediction: A Gaussian Mixture Model and Transformer Approach
Kathrin Donandt, Dirk Söffker
Using data sources beyond the Automatic Identification System to represent the context a vessel is navigating in and consequently improve situation awareness is still rare in machi…