Maritime Autonomous Vessels

doi:10.3390/books978-3-0365-6414-2

dc.contributor.editor	Xu, Haitong
dc.contributor.editor	Moreira, Lúcia
dc.contributor.editor	Guedes Soares, Carlos
dc.date.accessioned	2023-02-02T16:39:56Z
dc.date.available	2023-02-02T16:39:56Z
dc.date.issued	2023
dc.identifier	ONIX_20230202_9783036564159_95
dc.identifier.uri	https://directory.doabooks.org/handle/20.500.12854/96694
dc.description.abstract	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.
dc.language	English
dc.subject.classification	thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues	en_US
dc.subject.classification	thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology	en_US
dc.subject.other	cylindrical shell
dc.subject.other	variable stiffness
dc.subject.other	buckling
dc.subject.other	design and optimization
dc.subject.other	AUV
dc.subject.other	surrogate-model
dc.subject.other	path-following
dc.subject.other	vector field
dc.subject.other	obstacle avoidance
dc.subject.other	velocity obstacle algorithm
dc.subject.other	nonlinear autopilot
dc.subject.other	underactuated surface ship model
dc.subject.other	underwater glider
dc.subject.other	predetermined depth
dc.subject.other	fuzzy adaptive
dc.subject.other	LADRC
dc.subject.other	system identification
dc.subject.other	ship maneuvering model
dc.subject.other	gaussian process
dc.subject.other	prediction uncertainty
dc.subject.other	unmanned surface vehicles
dc.subject.other	dynamic obstacle avoidance
dc.subject.other	dynamic navigation ship domain
dc.subject.other	local path planning
dc.subject.other	COLREGs
dc.subject.other	homing and docking
dc.subject.other	vision-based guidance
dc.subject.other	target point/line planning and following
dc.subject.other	thrust allocation
dc.subject.other	machine vision
dc.subject.other	target detection
dc.subject.other	YOLOv5
dc.subject.other	loss function
dc.subject.other	unmanned ship
dc.subject.other	autonomous underwater vehicle (AUV)
dc.subject.other	subsea production system (SPS)
dc.subject.other	inspection of underwater object
dc.subject.other	stereo images
dc.subject.other	navigation
dc.subject.other	coordinate referencing
dc.subject.other	trajectory tracking
dc.subject.other	unmanned surface vehicle
dc.subject.other	model identification
dc.subject.other	line-of-sight
dc.subject.other	motion planning
dc.subject.other	MASS
dc.subject.other	multi-objective optimization
dc.subject.other	complex navigation conditions
dc.subject.other	manoeuvring model
dc.subject.other	parameter estimation
dc.subject.other	singular values
dc.subject.other	free-running model tests
dc.subject.other	truncated singular value decomposition
dc.subject.other	fishing vessel
dc.subject.other	shallow water
dc.subject.other	maneuverability
dc.subject.other	empirical formula
dc.subject.other	navigation situation
dc.subject.other	human-operated ship
dc.subject.other	clustering
dc.subject.other	testbed scenario
dc.subject.other	artificial potential field
dc.subject.other	collision avoidance
dc.subject.other	maritime autonomous surface ships
dc.subject.other	path planning
dc.subject.other	ship classification
dc.subject.other	automatic identification system (AIS)
dc.subject.other	convolutional neural network (CNN)
dc.subject.other	trajectory image
dc.subject.other	ship target identification
dc.subject.other	track
dc.subject.other	neural network
dc.subject.other	Bayes
dc.subject.other	ship’s manoeuvrability
dc.subject.other	model tests data
dc.subject.other	artificial neural networks
dc.subject.other	n/a
dc.title	Maritime Autonomous Vessels
dc.type	book
oapen.identifier.doi	10.3390/books978-3-0365-6414-2
oapen.relation.isPublishedBy	46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn	9783036564159
oapen.relation.isbn	9783036564142
oapen.pages	332
oapen.place.publication	Basel

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