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Review and prospect for intelligent cargo ships
YAN Xinping, WANG Shuwu, MA Feng
2021, 16(1): 1-6. DOI: 10.19693/j.issn.1673-3185.01674
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Research advances in the development status and key technology of unmanned marine vehicle swarm operation
XIE Wei, TAO Hao, GONG Junbin, LUO Wei, YIN Fengchuan, LIANG Xiaolong
2021, 16(1): 7-17, 31. DOI: 10.19693/j.issn.1673-3185.02225
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Review and prospect of remote control intelligent ships
WANG Yuanyuan, LIU Jialun, MA Feng, WANG Xingping, YAN Xinping
2021, 16(1): 18-31. DOI: 10.19693/j.issn.1673-3185.01939
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State-of-the-art research and prospects of key technologies for ship autonomous navigation
LI Yongjie, ZHANG Rui, WEI Muheng, ZHANG Yu
2021, 16(1): 32-44. DOI: 10.19693/j.issn.1673-3185.01958
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Method system of navigation function test and verification for intelligent ship
LIU Jialun, YANG Fan, MA Feng, YAN Xinping
2021, 16(1): 45-50. DOI: 10.19693/j.issn.1673-3185.01780
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Coordinated control of multiple unmanned surface vehicles: recent advances and future trends
PENG Zhouhua, WU Wentao, WANG Dan, LIU Lu
2021, 16(1): 51-64, 82. DOI: 10.19693/j.issn.1673-3185.01923
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Intelligent evolution method for obstacle-avoidance algorithm of unmanned surface vehicles in real sea trial based on machine learning
LOU Jiankun, WANG Hongdong, WANG Jianyao, YI Hong
2021, 16(1): 65-73. DOI: 10.19693/j.issn.1673-3185.02116
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Cooperative path planning of USV and UAV swarms under multiple constraints
HOU Yueqi, TAO Hao, GONG Junbin, LIANG Xiaolong, ZHANG Nuo
2021, 16(1): 74-82. DOI: 10.19693/j.issn.1673-3185.02091
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Application of search algorithms in unmanned surface vehicle track planning
LU Chunhui, ZHANG Bo, FU Zhenkai, YIN Meilin, ZHANG Jiaqi
2021, 16(1): 83-88. DOI: 10.19693/j.issn.1673-3185.01604
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Trajectory planning and automatic obstacle avoidance algorithm for unmanned surface vehicle based on exact penalty function
LI Qingliang, LI Bin, SUN Guohao, CUI Xing, MAO Xintao
2021, 16(1): 89-95. DOI: 10.19693/j.issn.1673-3185.02209
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Intelligent collision avoidance decision-making method for unmanned ships based on driving practice
DING Zhiguo, ZHANG Xinyu, WANG Chengbo, LI Quan, AN Lanxuan
2021, 16(1): 96-104, 113. DOI: 10.19693/j.issn.1673-3185.01781
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Tracking control of intelligent ship based on deep reinforcement learning
ZHU Kang, HUANG Zhen, WANG Xuming
2021, 16(1): 105-113. DOI: 10.19693/j.issn.1673-3185.01940
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Ship collision risk calculation method considering uncertainty of ship position prediction
WANG Shaobo, ZHANG Yingjun, HU Xin
2021, 16(1): 114-120. DOI: 10.19693/j.issn.1673-3185.01914
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Unmanned surface vehicle track control based on improved LOS and ADRC
YANG Zhongkai, ZHONG Weibo, FENG Youbing, SUN Bin
2021, 16(1): 121-127, 135. DOI: 10.19693/j.issn.1673-3185.01842
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ESO based anti-disturbance target tracking control for twin-screw unmanned surface vehicle
WU Wentao, PENG Zhouhua, WANG Dan, LIU Lu, JIANG Jizhou, REN Shuai
2021, 16(1): 128-135. DOI: 10.19693/j.issn.1673-3185.01665
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Sliding mode control method of remotely operated vehicles based on parameter disturbance model
CUI Pengfei, TIAN Junwei, SUN Jianglong, WANG Xuan
2021, 16(1): 136-142. DOI: 10.19693/j.issn.1673-3185.01756
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Improvement and optimization of NMEA2000 based on an autonomous and controllable platform
ZHONG Weibo, CHEN Jian, FENG Youbing, LU Daohua
2021, 16(1): 143-150. DOI: 10.19693/j.issn.1673-3185.01870
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Analysis of integrated health management system for unmanned surface vehicle
HU Jian, YANG Jianjun, CAI Wentao
2021, 16(1): 151-157. DOI: 10.19693/j.issn.1673-3185.01976
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Condition monitoring method for marine engine room equipment based on machine learning
WANG Ruihan, CHEN Hui, GUAN Cong
2021, 16(1): 158-166, 192. DOI: 10.19693/j.issn.1673-3185.02150
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Adaptive threshold method for intelligent ship power system equipment
GAO Zeyu, ZHANG Peng, ZHANG Boshen, ZHANG Yuewen, SUN Peiting
2021, 16(1): 167-173. DOI: 10.19693/j.issn.1673-3185.01951
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Evaluation of marine fuel supply system state based on AEC model
ZOU Yongjiu, DU Taili, JIANG Xingjia, ZHANG Yuewen
2021, 16(1): 174-179. DOI: 10.19693/j.issn.1673-3185.01779
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Research progress and prospects of ship intelligent energy efficiency optimization key technologies
WANG Kai, HU Weiwei, HUANG Lianzhong, CAI Yuliang, MA Ranqi
2021, 16(1): 180-192. DOI: 10.19693/j.issn.1673-3185.01942
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