Reprint

Recent Developments and Knowledge in Intelligent and Safe Marine Navigation

Edited by
January 2024
228 pages
  • ISBN978-3-03928-623-2 (Hardback)
  • ISBN978-3-03928-624-9 (PDF)

This book is a reprint of the Special Issue Recent Developments and Knowledge in Intelligent and Safe Marine Navigation that was published in

Engineering
Environmental & Earth Sciences
Summary

The maritime shipping sector toward intelligent and safe navigation is intrinsically tied to the integration of cutting-edge technologies (i.e., AI and big data). These technologies are being harnessed across multiple facets of the maritime domain. It is evident that these methodologies have the potential to significantly enhance the intelligence and safety of ships. This SI stands as a compendium of research papers that not only enrich the academic dialogue but also support substantial practical implications for the maritime industry. The insights and innovations contained within this SI are imperative in furthering the frontiers of intelligent and safe navigation. The contributions encompass a spectrum of recent developments, encompassing topics such as big data fusion for ship detection, collision avoidance through deep reinforcement learning approaches, and ship system identification, route planning, etc. These methods draw from a confluence of expertise, merging insights from ship science, AI, and their interdisciplinary interactions. Collectively, the research presented in this SI constitutes a vital stride in the ongoing endeavor to fortify and refine intelligent navigation.

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
nonlinear-fitting redundant sliding mode; event-triggered; abnormal input; neural network; artificial intelligence transportation robots; track tracking; unmanned surface vehicles; deep reinforcement learning; autonomous collision avoidance; COLREGs; non-linear Nomoto model; parameter identification; multi-innovation least-squares; support vector regression; ship routing; artificial neural network; speed configuration; A* algorithm; traffic safety; offshore wind farms; YOLOv7; stereo vision; deep learning; collision avoidance; improved artificial potential field; nonlinear model predictive control; ship maneuverability; COLREGs; maritime traffic safety; maritime accident; Bayesian network (BN); accident scenario analysis; Netica; contour extraction; object detection; semantic segmentation; coordinate mapping; risk assessment; maritime transport; fault tree analysis; Bayesian network; Liquid Natural Gas (LNG); ship knowledge graph; illegal behavior; fake ship license plates; decision-making; traffic management; n/a