Yongfeng Suo
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View article: A Novel iTransformer-Based Approach for AIS Data-Assisted CFAR Detection
A Novel iTransformer-Based Approach for AIS Data-Assisted CFAR Detection Open
Detection of small vessels is of great significance for maritime safety assurance, abnormal vessel tracking, illegal fishing supervision, and combating smuggling. However, the radar reflection intensity of small vessels is low, making them…
View article: Ship Anomalous Behavior Detection Based on BPEF Mining and Text Similarity
Ship Anomalous Behavior Detection Based on BPEF Mining and Text Similarity Open
Maritime behavior detection is vital for maritime surveillance and management, ensuring safe ship navigation, normal port operations, marine environmental protection, and the prevention of illegal activities on water. Current methods for d…
View article: Ceppo: A Novel Cognitive Entropy Proximal Policy Optimization Algorithm for Autonomous Ship Collision Avoidance Based on Deep Reinforcement Learning
Ceppo: A Novel Cognitive Entropy Proximal Policy Optimization Algorithm for Autonomous Ship Collision Avoidance Based on Deep Reinforcement Learning Open
View article: The Mamba Model: A Novel Approach for Predicting Ship Trajectories
The Mamba Model: A Novel Approach for Predicting Ship Trajectories Open
To address the complexity of ship trajectory prediction, this study explored the efficacy of the Mamba model, a relatively new deep-learning framework. In order to evaluate the performance of the Mamba model relative to traditional models,…
View article: Ship Autonomous Berthing Strategy Based on Improved Linear-Quadratic Regulator
Ship Autonomous Berthing Strategy Based on Improved Linear-Quadratic Regulator Open
There has been significant interest in the research field of ship automatic navigation, particularly in the area of autonomous berthing. To address the key challenges of path planning and control during ship berthing, we propose an enhance…
View article: A Review of Autonomous Berthing Technology for Ships
A Review of Autonomous Berthing Technology for Ships Open
Autonomous berthing technology is a crucial engineering control problem within the ship intelligence system, encompassing a series of complex operations and technologies. Firstly, this paper analyses the research on autonomous berthing tec…
View article: An Improved Artificial Potential Field Method for Ship Path Planning Based on Artificial Potential Field—Mined Customary Navigation Routes
An Improved Artificial Potential Field Method for Ship Path Planning Based on Artificial Potential Field—Mined Customary Navigation Routes Open
In recent years, the artificial potential field has garnered significant attention in ship route planning and traffic flow simulation. However, the traditional artificial potential field method faces challenges in accurately simulating a s…
View article: Spatiotemporal coverage capability of moon-based SAR for water dynamic monitoring in global vegetation tipping elements
Spatiotemporal coverage capability of moon-based SAR for water dynamic monitoring in global vegetation tipping elements Open
Changes in water content dynamics can serve as predictive indicators for catastrophic transitions in vegetation tipping elements. Vegetation water content is a rapidly changing parameter with sub-daily fluctuations, and current space-borne…
View article: Ship Autonomous Berthing Strategy Based on Improved Lqr
Ship Autonomous Berthing Strategy Based on Improved Lqr Open
View article: Research on Ship Trajectory Prediction Method Based on Difference Long Short-Term Memory
Research on Ship Trajectory Prediction Method Based on Difference Long Short-Term Memory Open
This study proposes a solution to the problem of inaccurate and time-consuming ship trajectory prediction caused by frequent ship maneuvering in complex waterways. The proposed solution is a ship trajectory prediction model that uses a dif…
View article: An Improved A-Star Ship Path-Planning Algorithm Considering Current, Water Depth, and Traffic Separation Rules
An Improved A-Star Ship Path-Planning Algorithm Considering Current, Water Depth, and Traffic Separation Rules Open
The influence of the maritime environment such as water currents, water depth, and traffic separation rules should be considered when conducting ship path planning. Additionally, the maneuverability constraints of the ship play a crucial r…
View article: A Formal and Visual Data-Mining Model for Complex Ship Behaviors and Patterns
A Formal and Visual Data-Mining Model for Complex Ship Behaviors and Patterns Open
The successful emergence of real-time positioning systems in the maritime domain has favored the development of data infrastructures that provide valuable monitoring and decision-aided systems. However, there is still a need for the develo…
View article: Ship Encounter Scenario and Maneuvering Behavior Mining Based on AIS Data
Ship Encounter Scenario and Maneuvering Behavior Mining Based on AIS Data Open
In order to gain a deep understanding of the operation of different ships in different time states and understand the geographical distribution of the encounters of ships near Gulei Port and the maneuvering behavior patterns of ships in th…
View article: Ship Track Prediction Based on DLGWO-SVR
Ship Track Prediction Based on DLGWO-SVR Open
To improve the accuracy of ship track prediction, the improved Grey Wolf Optimizer (GWO) and Support Vector Regression (SVR) models are incorporated for ship track prediction. The hunting strategy of dimensional learning was used to optimi…
View article: A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation Prediction
A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation Prediction Open
The successful implementation of Vessel Traffic Services (VTS) relies heavily on human decisions. With the increasing development of maritime traffic, there is an urgent need to provide a sound support for dynamic risk appraisals and decis…
View article: A Ship Trajectory Prediction Framework Based on a Recurrent Neural Network
A Ship Trajectory Prediction Framework Based on a Recurrent Neural Network Open
Ship trajectory prediction is a key requisite for maritime navigation early warning and safety, but accuracy and computation efficiency are major issues still to be resolved. The research presented in this paper introduces a deep learning …
View article: Research on Visualization of Three-Dimensional Vectorization of Flow Field
Research on Visualization of Three-Dimensional Vectorization of Flow Field Open
In order to support the comprehensive analysis of virtual simulation and scientific visualization of navigation environment in marine simulator, this paper carried out the visualization analysis of three-dimensional vector field data of fl…
View article: A Target Ship Server Driven by AIS Signal for the Navigation Simulator
A Target Ship Server Driven by AIS Signal for the Navigation Simulator Open
The planning route for the targets in the present navigational simulator is designed by the coach. The route designed in this way is in a sense with some subjectiveness and blindness and which imposed more burden to the coach. Thus, this a…
View article: <i>H</i><sub><i>∞</i></sub> Sampled‐Data Control for Singular Neutral System
<i>H</i><sub><i>∞</i></sub> Sampled‐Data Control for Singular Neutral System Open
This study is concerned with the H ∞ control problem for singular neutral system based on sampled‐data. By input delay approach and a composite state‐derivative control law, the singular system is turned into a singular neutral system with…