Maritime Autonomous Vessels
This reprint is a printed edition of the Special Issue on Maritime Autonomous Vessels that was published in the Journal of Marine Science and Engineering. It contains an editorial and 17 peer-reviewed research studies in the field of Maritime Autonomous Surface Ships (MASS), Unmanned Surface Vessels...
সংরক্ষণ করুন:
| বিন্যাস: | Online |
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| ভাষা: | ইংরেজি |
| প্রকাশিত: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | ONIX_20230202_9783036564159_95 |
| ট্যাগগুলো: |
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
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| _version_ | 1869520394432544768 |
|---|---|
| collection | Directory of Open Access Books |
| description | This reprint is a printed edition of the Special Issue on Maritime Autonomous Vessels that was published in the Journal of Marine Science and Engineering. It contains an editorial and 17 peer-reviewed research studies in the field of Maritime Autonomous Surface Ships (MASS), Unmanned Surface Vessels (USVs), Autonomous Underwater Vehicles (AUVs), and underwater gliders, to name a few. The main goal of this reprint is to address key challenges, thereby promoting research on marine autonomous ships. There are many topics on autonomous vessels involved in this reprint, for instance, automatic control, manoeuvrability, collision avoidance, ship target identification, motion planning, and buckling analysis. |
| format | Online |
| id | doab-20.500.12854ir-96694 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-966942024-04-09T23:16:05Z Maritime Autonomous Vessels Xu, Haitong Moreira, Lúcia Guedes Soares, Carlos cylindrical shell variable stiffness buckling design and optimization AUV surrogate-model path-following vector field obstacle avoidance velocity obstacle algorithm nonlinear autopilot underactuated surface ship model underwater glider predetermined depth fuzzy adaptive LADRC system identification ship maneuvering model gaussian process prediction uncertainty unmanned surface vehicles dynamic obstacle avoidance dynamic navigation ship domain local path planning COLREGs homing and docking vision-based guidance target point/line planning and following thrust allocation machine vision target detection YOLOv5 loss function unmanned ship autonomous underwater vehicle (AUV) subsea production system (SPS) inspection of underwater object stereo images navigation coordinate referencing trajectory tracking unmanned surface vehicle model identification line-of-sight motion planning MASS multi-objective optimization complex navigation conditions manoeuvring model parameter estimation singular values free-running model tests truncated singular value decomposition fishing vessel shallow water maneuverability empirical formula navigation situation human-operated ship clustering testbed scenario artificial potential field collision avoidance maritime autonomous surface ships path planning ship classification automatic identification system (AIS) convolutional neural network (CNN) trajectory image ship target identification track neural network Bayes ship’s manoeuvrability model tests data artificial neural networks n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This reprint is a printed edition of the Special Issue on Maritime Autonomous Vessels that was published in the Journal of Marine Science and Engineering. It contains an editorial and 17 peer-reviewed research studies in the field of Maritime Autonomous Surface Ships (MASS), Unmanned Surface Vessels (USVs), Autonomous Underwater Vehicles (AUVs), and underwater gliders, to name a few. The main goal of this reprint is to address key challenges, thereby promoting research on marine autonomous ships. There are many topics on autonomous vessels involved in this reprint, for instance, automatic control, manoeuvrability, collision avoidance, ship target identification, motion planning, and buckling analysis. 2023-02-02T16:39:56Z 2023-02-02T16:39:56Z 2023 book ONIX_20230202_9783036564159_95 9783036564159 9783036564142 https://directory.doabooks.org/handle/20.500.12854/96694 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/6639 https://mdpi.com/books/pdfview/book/6639 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6414-2 10.3390/books978-3-0365-6414-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036564159 9783036564142 332 Basel open access |
| spellingShingle | cylindrical shell variable stiffness buckling design and optimization AUV surrogate-model path-following vector field obstacle avoidance velocity obstacle algorithm nonlinear autopilot underactuated surface ship model underwater glider predetermined depth fuzzy adaptive LADRC system identification ship maneuvering model gaussian process prediction uncertainty unmanned surface vehicles dynamic obstacle avoidance dynamic navigation ship domain local path planning COLREGs homing and docking vision-based guidance target point/line planning and following thrust allocation machine vision target detection YOLOv5 loss function unmanned ship autonomous underwater vehicle (AUV) subsea production system (SPS) inspection of underwater object stereo images navigation coordinate referencing trajectory tracking unmanned surface vehicle model identification line-of-sight motion planning MASS multi-objective optimization complex navigation conditions manoeuvring model parameter estimation singular values free-running model tests truncated singular value decomposition fishing vessel shallow water maneuverability empirical formula navigation situation human-operated ship clustering testbed scenario artificial potential field collision avoidance maritime autonomous surface ships path planning ship classification automatic identification system (AIS) convolutional neural network (CNN) trajectory image ship target identification track neural network Bayes ship’s manoeuvrability model tests data artificial neural networks n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Maritime Autonomous Vessels |
| title | Maritime Autonomous Vessels |
| title_full | Maritime Autonomous Vessels |
| title_fullStr | Maritime Autonomous Vessels |
| title_full_unstemmed | Maritime Autonomous Vessels |
| title_short | Maritime Autonomous Vessels |
| title_sort | maritime autonomous vessels |
| topic | cylindrical shell variable stiffness buckling design and optimization AUV surrogate-model path-following vector field obstacle avoidance velocity obstacle algorithm nonlinear autopilot underactuated surface ship model underwater glider predetermined depth fuzzy adaptive LADRC system identification ship maneuvering model gaussian process prediction uncertainty unmanned surface vehicles dynamic obstacle avoidance dynamic navigation ship domain local path planning COLREGs homing and docking vision-based guidance target point/line planning and following thrust allocation machine vision target detection YOLOv5 loss function unmanned ship autonomous underwater vehicle (AUV) subsea production system (SPS) inspection of underwater object stereo images navigation coordinate referencing trajectory tracking unmanned surface vehicle model identification line-of-sight motion planning MASS multi-objective optimization complex navigation conditions manoeuvring model parameter estimation singular values free-running model tests truncated singular value decomposition fishing vessel shallow water maneuverability empirical formula navigation situation human-operated ship clustering testbed scenario artificial potential field collision avoidance maritime autonomous surface ships path planning ship classification automatic identification system (AIS) convolutional neural network (CNN) trajectory image ship target identification track neural network Bayes ship’s manoeuvrability model tests data artificial neural networks n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | cylindrical shell variable stiffness buckling design and optimization AUV surrogate-model path-following vector field obstacle avoidance velocity obstacle algorithm nonlinear autopilot underactuated surface ship model underwater glider predetermined depth fuzzy adaptive LADRC system identification ship maneuvering model gaussian process prediction uncertainty unmanned surface vehicles dynamic obstacle avoidance dynamic navigation ship domain local path planning COLREGs homing and docking vision-based guidance target point/line planning and following thrust allocation machine vision target detection YOLOv5 loss function unmanned ship autonomous underwater vehicle (AUV) subsea production system (SPS) inspection of underwater object stereo images navigation coordinate referencing trajectory tracking unmanned surface vehicle model identification line-of-sight motion planning MASS multi-objective optimization complex navigation conditions manoeuvring model parameter estimation singular values free-running model tests truncated singular value decomposition fishing vessel shallow water maneuverability empirical formula navigation situation human-operated ship clustering testbed scenario artificial potential field collision avoidance maritime autonomous surface ships path planning ship classification automatic identification system (AIS) convolutional neural network (CNN) trajectory image ship target identification track neural network Bayes ship’s manoeuvrability model tests data artificial neural networks n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20230202_9783036564159_95 |