Maritime Autonomous Vessels/Морские автономные суда

Издание на английском языке
The book focuses on key issues related to the development of autonomous vessels, including marine autonomous surfaces (MASS), unmanned surface vehicles (USVs) and autonomous underwater vehicles (AUVs). It covers topics such as automatic control, maneuverability, collision avoidance, target identification, motion planning, and structural stability analysis.
The main purpose of the book is to discuss challenges and promote research in the field of autonomous marine vessels. The focus is on improving the safety and cost-effectiveness of maritime operations, as well as on the application of new technologies to create safer and more environmentally friendly solutions in shipping. The book includes both theoretical aspects and practical applications, which makes it useful for researchers and specialists in this field.

Содержание
Haitong Xu, Lucia Moreira and C. Guedes Soares
Maritime Autonomous Vessels
Reprinted from.: J. Mar. Sci. Eng. 2023,11,168, doi:10.3390/jm.seP1010168
Haitong Xu, Miguel A. Hinostroza and C. Guedes Soares
Modified Vector Field Path-Following Control System for an Underactuated Autonomous Surface Ship Model in the Presence of Static Obstacles
Reprinted from.: J. Mar. Sci. Eng. 2021, 9, 652, doi:10.3390/jmse9060652
Jiucai Jin, Deqing Liu, Dong Wang and Yi Ma
A Practical Trajectory Tracking Scheme for a Twin-Propeller Twin-Hull Unmanned Surface Vehicle
Reprinted from.: J. Mar. Sci. Eng. 2021, 9,1070, doi:10.3390/jmse9101070
Mingjiu Zuo, Guandao Wang, Yongxin Xiao and Gong Xiang
A Unified Approach for 'Underwater Homing and Docking of over-Actuated AUV
Reprinted from.: J. Mar. Sci. Eng. 2021, 9, 884, doi:10.3390/jmse9080884
Zhiguang Wang, Caoyang Yu, Mingjie Li, Baoheng Yao and Lian Lian
Vertical Profile Diving and Floating Motion Control of the Underwater Glider Based on Fuzzy Adaptive LADRC Algorithm
Reprinted from.: J. Mar. Sci. Eng. 2021, 9, 698, doi:10.3390/jmse9070698
Ana Catarina Costa, Haitong Xu and Carlos Guedes Soares
Robust Parameter Estimation of an Empirical Manoeuvring Model Using Free-Running Model Tests
Reprinted from.: J. Mar. Sci. Eng. 2021, 9,1302, doi:10.3390/jmse9111302
LUcia Moreira and C. Guedes Soares
Simulating Ship Manoeuvrability with Artificial Neural Networks Trained by a Short Noisy Data Set
Reprinted from.: J. Mar. Sci. Eng. 2022,11,15, doi:10.3390/jmse11010015
Su-Hyung Kim, Chun-Ki Lee and Yang-Bum Chae
Prediction of Maneuverability in Shallow Water of Fishing Trawler by Using Empirical Formula
Reprinted from.: J. Mar. Sci. Eng. 2021, 9,1392, doi.:10.3390/jm.se9121392
Yifan Xue, Yanjun Liu, Gang Xue and Gang Chen
Identification and Prediction of Ship Maneuvering Motion Based on a Gaussian Process with Uncertainty Propagation
Reprinted from.: J. Mar. Sci. Eng. 2021, 9, 804, doi:10.3390/jmse9080804
Zhongxian Zhu, Hongguang Lyu, Jundong Zhang and Yong Yin
An Efficient Ship Automatic Collision Avoidance Method Based on Modified Artificial Potential Field
Reprinted from.: J. Mar. Sci. Eng. 2021,10, 3, doi:10.3390/jmse10010003
Taewoong Hwang and Ik-Hyun Youn
Navigation Situation Clustering Model of Human-Operated Ships for Maritime Autonomous Surface Ship Collision Avoidance Tests
Reprinted from.: J. Mar. Sci. Eng. 2021, 9,1458, doi:10.3390/jmse9121458
Fang Deng, Leilei Jin, Xiuhui Hou, Longjin Wang, Boyang Li and Hualin Yang
COLREGs: Compliant Dynamic Obstacle Avoidance of USVs Based on theDynamic Navigation Ship Domain
Reprinted from.: J. Mar. Sci. Eng. 2021, 9, 837, doi:10.3390/jmse9080837
Zhan Kong, Yaqi Cui, Wei Xiong, Fucheng Yang, Zhenyu Xiong and Pingliang Xu
Ship Target Identification via Bayesian-Transformer Neural Network
Reprinted from.: J. Mar. Sci. Eng. 2022,10, 577, doi.:10.3390/jm.se10050577
Tianyu Yang, Xin Wang and Zhengjiang Liu
Ship Type Recognition Based on Ship Navigating Trajectory and Convolutional Neural Network
Reprinted from.: J. Mar. Sci. Eng. 2022,10, 84, doi:10.3390/jmse10010084
Junchi Zhou, Ping Jiang, Airu Zou, Xinglin Chen and Wenwu Hu
Ship Target Detection Algorithm Based on Improved YOLOv5
Reprinted from.: J. Mar. Sci. Eng. 2021, 9, 908, doi:10.3390/jmse9080908
Valery Bobkov, Alexey Kudryashov and Alexander Inzartsev
Method for the Coordination of Referencing of Autonomous Underwater Vehicles to Man-Made Objects Using Stereo Images
Reprinted from.: J. Mar. Sci. Eng. 2021, 9,1038, doi.:10.3390/jm.se9091038
Meiyi Wu, Anmin Zhang, Miao Gao and Jiali Zhang
Ship Motion Planning for MASS Based on a Multi-Objective Optimization HA Algorithm in Complex Navigation Conditions
Reprinted from.: J. Mar. Sci. Eng. 2021, 9,1126, doi.:10.3390/jm.se9101126
Zhaoqi Yang, Yonghui Cao and Jing Liu
A Buckling Analysis and Optimization Method for a Variable Stiffness Cylindrical Pressure Shell of AUV
Reprinted from.: J. Mar. Sci. Eng. 2021, 9, 637, doi:10.3390/jmse9060637