Ship Path Planning Based on Buoy Offset Historical Trajectory Data

Zhou, Shu; Wu, Zhizheng; Ren, Lüzhen

doi:10.3390/jmse10050674

Cited by 5 publications

(4 citation statements)

References 38 publications

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“…They proposed a new strategy that simultaneously optimizes ship routes and speeds, significantly reducing the cost of route generation. Zhou et al [61] proposed a ship path planning method based on historical trajectory data and the SARIMA model, effectively addressing ship collision issues caused by buoy displacement in the navigation of large, slow autonomous ships.…”

Section: Route Planningmentioning

confidence: 99%

The Analysis of Intelligent Functions Required for Inland Ships

Hao,

Xiao,

Huang

et al. 2024

JMSE

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Sorting out the requirements for intelligent functions is the prerequisite and foundation of the top-level design for the development of intelligent ships. In light of the development of inland intelligent ships for 2030, 2035, and 2050, based on the analysis of the division of intelligent ship functional modules by international representative classification societies and relevant research institutions, eight necessary functional modules have been proposed: intelligent navigation, intelligent hull, intelligent engine room, intelligent energy efficiency management, intelligent cargo management, intelligent integration platform, remote control, and autonomous operation. Taking the technical realization of each functional module as the goal, this paper analyzes the status quo and development trend of related intelligent technologies and their feasibility and applicability when applied to each functional module. At the same time, it clarifies the composition of specific functional elements of each functional module, puts forward the stage goals of China’s inland intelligent ship development and the specific functional requirements of different modules under each stage, and provides reference for the Chinese government to subsequently formulate the top-level design development planning and implementation path of inland waterway intelligent ships.

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Section: Route Planningmentioning

confidence: 99%

The Analysis of Intelligent Functions Required for Inland Ships

Hao,

Xiao,

Huang

et al. 2024

JMSE

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“…Compared with the road, the ship route contains more complex factors. Specifically, these factors will lead to fundamental differences in static collision avoidance, dynamic collision avoidance, and collaborative collision avoidance decision-making, so it is necessary to conduct modeling and analysis in advance [20]. The navigation environment includes the following aspects: (1) channel boundary and other boundary elements, including national boundaries and regional boundaries.…”

Section: Ship Navigation Environment Modelingmentioning

confidence: 99%

Improved DQN for Dynamic Obstacle Avoidance and Ship Path Planning

Yang

Han

2023

Algorithms

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The avoidance of collisions among ships requires addressing various factors such as perception, decision-making, and control. These factors pose many challenges for autonomous collision avoidance. Traditional collision avoidance methods have encountered significant difficulties when used in autonomous collision avoidance. They are challenged to cope with the changing environment and harsh motion constraints. In the actual navigation of ships, it is necessary to carry out decision-making and control under the constraints of ship manipulation and risk. From the implementation process perspective, it is a typical sequential anthropomorphic decision-making problem. In order to solve the sequential decision problem, this paper improves DQN by setting a priority for sample collection and adopting non-uniform sampling, and it is applied to realize the intelligent collision avoidance of ships. It also verifies the performance of the algorithm in the simulation environment.

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“…To study motion prediction systematically for intelligent navigation, we provide an overview and analysis of the methods and applications of motion prediction across different time scales. In previous studies [16][17][18], motion prediction is taken only as a part of route planning, motion control, or traffic simulation individually. It is essential to consider the overall motion-prediction models, algorithms, and systems for different time scales.…”

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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Ship Path Planning Based on Buoy Offset Historical Trajectory Data

Cited by 5 publications

References 38 publications

The Analysis of Intelligent Functions Required for Inland Ships

The Analysis of Intelligent Functions Required for Inland Ships

Improved DQN for Dynamic Obstacle Avoidance and Ship Path Planning

A Review on Motion Prediction for Intelligent Ship Navigation

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