Maritime Autonomous Vessels

• Altri autori: Xu, Haitong (Redattore), Moreira, Lúcia (Redattore), Guedes Soares, Carlos (Redattore)
• Natura: Elettronico Capitolo di libro
• Lingua: inglese
• Pubblicazione: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Soggetti: Technology: general issues; History of engineering & technology; 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
• Accesso online: DOAB: download the publication; DOAB: description of the publication

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...