Providing Certified Paths for Safe Port Operation: The e-Mariner paradigm

Abstract

In this paper we describe a system that utilizes supervised machine learning over GNSS PVT data to produce "safe" paths for maritime port operations. By using meta-knowledge describing the behavior of mobile objects based on specific criteria, and also extend this to address sections of trajectories, we aim at certifying