为港口安全操作提供认证路径:e-Mariner范例

N. Bakalos, M. Bonazountas, V. Tsiakos, Vasilis Hadjipanos
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摘要

在本文中,我们描述了一个系统,该系统利用GNSS PVT数据的监督机器学习来为海运港口操作产生“安全”路径。通过使用元知识描述基于特定标准的移动对象的行为,并将其扩展到处理轨迹的部分,我们的目标是证明
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Providing Certified Paths for Safe Port Operation: The e-Mariner paradigm
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
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