Recent Developments and Knowledge in Intelligent and Safe Marine Navigation
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 pot...
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| Format: | Online |
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| Language: | English |
| Published: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Online Access: | ONIX_20240514_9783039286232_94 |
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| collection | Directory of Open Access Books |
| description | 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 | Online |
| id | doab-20.500.12854ir-137492 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1374922024-05-14T13:17:39Z Recent Developments and Knowledge in Intelligent and Safe Marine Navigation Zhang, Mingyang Zhang, Xinyu Fu, Shanshan Dai, Lei Yu, Qing 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 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 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. 2024-05-14T13:17:32Z 2024-05-14T13:17:32Z 2024 book ONIX_20240514_9783039286232_94 9783039286232 9783039286249 https://directory.doabooks.org/handle/20.500.12854/137492 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/8649 https://mdpi.com/books/pdfview/book/8649 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03928-624-9 10.3390/books978-3-03928-624-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039286232 9783039286249 228 open access |
| spellingShingle | 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 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Recent Developments and Knowledge in Intelligent and Safe Marine Navigation |
| title | Recent Developments and Knowledge in Intelligent and Safe Marine Navigation |
| title_full | Recent Developments and Knowledge in Intelligent and Safe Marine Navigation |
| title_fullStr | Recent Developments and Knowledge in Intelligent and Safe Marine Navigation |
| title_full_unstemmed | Recent Developments and Knowledge in Intelligent and Safe Marine Navigation |
| title_short | Recent Developments and Knowledge in Intelligent and Safe Marine Navigation |
| title_sort | recent developments and knowledge in intelligent and safe marine navigation |
| topic | 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 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | 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 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | ONIX_20240514_9783039286232_94 |