June 5, 2024, 4:43 a.m. | Kathrin Donandt, Dirk S\"offker

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.02344v1 Announce Type: new
Abstract: 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 machine learning approaches to vessel trajectory prediction (VTP). In inland shipping, where vessel movement is constrained within fairways, navigational context information is indispensable. In this contribution targeting inland VTP, Gaussian Mixture Models (GMMs) are applied, on a fused dataset of AIS and discharge measurements, to generate multi-modal distribution curves, …

abstract arxiv beyond context cs.lg data data sources identification machine machine learning navigation prediction shipping trajectory transformer type

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