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...

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Bibliographic Details
Other Authors: Xu, Haitong (Editor), Moreira, Lúcia (Editor), Guedes Soares, Carlos (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
AUV
n/a
Online Access:DOAB: download the publication
DOAB: description of the publication
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MARC

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520 |a 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. 
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650 7 |a Technology: general issues  |2 bicssc 
650 7 |a History of engineering & technology  |2 bicssc 
653 |a cylindrical shell 
653 |a variable stiffness 
653 |a buckling 
653 |a design and optimization 
653 |a AUV 
653 |a surrogate-model 
653 |a path-following 
653 |a vector field 
653 |a obstacle avoidance 
653 |a velocity obstacle algorithm 
653 |a nonlinear autopilot 
653 |a underactuated surface ship model 
653 |a underwater glider 
653 |a predetermined depth 
653 |a fuzzy adaptive 
653 |a LADRC 
653 |a system identification 
653 |a ship maneuvering model 
653 |a gaussian process 
653 |a prediction uncertainty 
653 |a unmanned surface vehicles 
653 |a dynamic obstacle avoidance 
653 |a dynamic navigation ship domain 
653 |a local path planning 
653 |a COLREGs 
653 |a homing and docking 
653 |a vision-based guidance 
653 |a target point/line planning and following 
653 |a thrust allocation 
653 |a machine vision 
653 |a target detection 
653 |a YOLOv5 
653 |a loss function 
653 |a unmanned ship 
653 |a autonomous underwater vehicle (AUV) 
653 |a subsea production system (SPS) 
653 |a inspection of underwater object 
653 |a stereo images 
653 |a navigation 
653 |a coordinate referencing 
653 |a trajectory tracking 
653 |a unmanned surface vehicle 
653 |a model identification 
653 |a line-of-sight 
653 |a motion planning 
653 |a MASS 
653 |a multi-objective optimization 
653 |a complex navigation conditions 
653 |a manoeuvring model 
653 |a parameter estimation 
653 |a singular values 
653 |a free-running model tests 
653 |a truncated singular value decomposition 
653 |a fishing vessel 
653 |a shallow water 
653 |a maneuverability 
653 |a empirical formula 
653 |a navigation situation 
653 |a human-operated ship 
653 |a clustering 
653 |a testbed scenario 
653 |a artificial potential field 
653 |a collision avoidance 
653 |a maritime autonomous surface ships 
653 |a path planning 
653 |a ship classification 
653 |a automatic identification system (AIS) 
653 |a convolutional neural network (CNN) 
653 |a trajectory image 
653 |a ship target identification 
653 |a track 
653 |a neural network 
653 |a Bayes 
653 |a ship's manoeuvrability 
653 |a model tests data 
653 |a artificial neural networks 
653 |a n/a 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/96694  |7 0  |z DOAB: description of the publication