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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    Title :

    Maritime Autonomous Vessels


    Contributors:

    Publication date :

    2023


    Size :

    1 Online-Ressource (332 p.)



    Type of media :

    Book


    Type of material :

    Electronic Resource


    Language :

    Unknown


    Keywords :

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



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