From concept to practicality: Unmanned vessel research in China

Chen, Qiong; Lau, Yui-yip; Zhang, Pengfei; Dulebenets, Maxim A.; Wang, Ning; Wang, Tian-ni

doi:10.1016/j.heliyon.2023.e15182

Cited by 5 publications

(5 citation statements)

References 35 publications

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“…26 , the allowed Q received from sensor is determined 14 L s −1 . The fluctuation range is adjusted 3, which indicates that the recorded Q can vary in the range of [ [11] , [12] , [13] , [14] , [15] , [16] , [17] ] L.s −1 . Otherwise, the operator is notified by a warning message in case of any recording of Q out of this allowed threshold more than three times.…”

Section: Our Dss For the Groundwater Facilities Managementmentioning

confidence: 99%

“…27 indicates the recorded Q from sensors compared to the predicted Q p for “EslamAbad 02″ well during the first four months of 2019. As per the mentioned Fig, the orange box marks the allowed range of fluctuations in the recorded Q ([ [11] , [12] , [13] , [14] , [15] , [16] , [17] ] L.s −1 ). While the yellow line indicates the predicted Q, the red line signs the received Q from the sensors.…”

Section: Our Dss For the Groundwater Facilities Managementmentioning

confidence: 99%

“…Many researchers have employed ML models to successfully forecast water systems' performance. Some examples include Random Forest (RF) (Chen et al [ 15 ]), Support Vector Machines (SVM) (Rodriguez-Galiano et al [ 16 ]), artificial neural networks (ANN) (Ostad-Ali-Askari et al [ 17 ]; Montazeri et al [ 18 ]), and boosted regression trees (BRT) (Knierim et al [ 19 ]; Ransom et al [ 20 ]).…”

Section: Introductionmentioning

confidence: 99%

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Section: Our Dss For the Groundwater Facilities Managementmentioning

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Section: Our Dss For the Groundwater Facilities Managementmentioning

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Section: Introductionmentioning

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et al. 2024

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“…Abnormal ship behaviors will increase the risks of collisions, groundings, and reef encounters. Predicting ship behavior through the prediction of the ship-navigation trajectory will effectively mitigate these navigation risks [3][4][5][6]. According to statistics from the International Maritime Organization (IMO), approximately 80-85% of accidents that occurred in the past two decades were attributed to human faults [7,8].…”

Section: Introductionmentioning

confidence: 99%

A Review on Motion Prediction for Intelligent Ship Navigation

Zhang,

Chu,

Liu

et al. 2024

JMSE

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In recent years, as intelligent ship-navigation technology has advanced, the challenge of accurately modeling and predicting the dynamic environment and motion status of ships has emerged as a prominent area of research. In response to the diverse time scales required for the prediction of ship motion, various methods for modeling ship navigation environments, ship motion, and ship traffic flow have been explored and analyzed. Additionally, these motion-prediction methods are applied for motion control, collision-avoidance planning, and route optimization. Key issues are summarized regarding ship-motion prediction, including online modeling of motion models, real ship validation, and consistency in modeling, optimization, and control. Future technology trends are predicted in mechanism-data fusion modeling, large-scale model, multi-objective motion prediction, etc.

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“…The rapid development of Maritime Autonomous Surface Ships (MASS) has further highlighted these problems. Therefore, how to revise the COLREGs in terms of both technical specification and legal norms to meet the demands of the developing maritime industry has become a key issue that must be considered (Chen et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

A study on the development and trend of COLREGs – A broader perspective

Dong,

Li,

2023

J. Navigation

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With the rapid development of the maritime industry and the emergence of unmanned ships, it is necessary to continuously review the International Regulations for Preventing Collisions at Sea (1972, COLREGs). This paper provides an overview of the developing history of the COLREGs and summarises the interpretations made by the International Maritime Organization official and academic scholars. Additionally, the paper discusses the application of the COLREGs in collision avoidance geometry and autonomous collision avoidance systems. Furthermore, the necessity and key points of revisions to adapt to industry advancements are discussed, along with an analysis of the main challenges faced. Finally, in light of the continuous progress and implementation of the outcome of the Regulatory Scoping Exercise for the Use of Maritime Autonomous Surface Ships (MASS), the paper points out that achieving consistency between manned and unmanned vessels, as well as developing COLREGs-based autonomous collision avoidance systems for more complex scenarios, is expected to be a significant trend in the future.

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From concept to practicality: Unmanned vessel research in China

Cited by 5 publications

References 35 publications

An intelligent decision support system for groundwater supply management and electromechanical infrastructure controls

An intelligent decision support system for groundwater supply management and electromechanical infrastructure controls

A Review on Motion Prediction for Intelligent Ship Navigation

A study on the development and trend of COLREGs – A broader perspective

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