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A reliable unmanned aerial vehicle multi-ship tracking method.
Published 2025-01-01“…This growth presents both significant challenges and opportunities for enhancing the accuracy of ship detection and tracking through the application of artificial intelligence. …”
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TriangularSORT: A Deep Learning Approach for Ship Wake Detection and Tracking
Published 2025-01-01Subjects: “…ship tracking…”
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Tracking Control for Hydrogen Fuel Cell Systems in Zero-Emission Ferry Ships
Published 2019-01-01Get full text
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Self-Correction Ship Tracking and Counting with Variable Time Window Based on YOLOv3
Published 2021-01-01“…YOLOv3 pretraining model is used for model training with sample images for ship detection. The ship detection model is built by adjusting and optimizing parameters. …”
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Ship Velocity Estimation in Airborne Along-Track Interferometric SAR Imagery Based on the Fractional Fourier Transform
Published 2020-01-01“…Based on the moving target echo model in airborne along-track interferometric SAR (ATI-SAR) and expression of the ATI phase, a method is proposed to estimate the ship velocity by combining the ATI phase with FrFT. …”
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Autonomous decision-making method for ship maneuvering in complex waters of estuarine multi-class ships routeing system
Published 2024-12-01Subjects: Get full text
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Ship-Borne Phased Array Radar Using GA Based Adaptive α-β-γ Filter for Beamforming Compensation and Air Target Tracking
Published 2015-01-01“…Beam pointing error caused by ship motion over the ocean affects the tracking performance of the ship-borne phased array radar. …”
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A novel RNN architecture to improve the precision of ship trajectory predictions
Published 2025-12-01“…AIS data has been used to support the defense teams when identifying equipment defects, locating suspicious activity, ensuring ship collision avoidance, and detecting hazardous events. …”
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A real-time detection method for multi-scale ships in complex scenes
Published 2022-10-01“…Ship detection plays an important role in tasks such as military reconnaissance, maritime target tracking, and maritime traffic control.However, due to the influence of variable sizes of ships and complex background of sea surface, detecting multi-scale ships remains a challenge in complex sea surfaces.To solve this problem, an improved YOLOv4 method based on multi-layers information interactive fusion and attention mechanism was proposed.Multi-layers information interactive fusion (MLIF) and multi-attention receptive field (MARF) were applied and combined reasonably to build a bidirectional fine-grained feature pyramid.MLIF was used to fuse feature of different scales, which not only concatenated high-level semantic features from deep layers, but also reshaped richer features from shallower layers.MARF consisted of receptive field block (RFB) and attention mechanism module, which effectively emphasized the important features and suppressed unnecessary ones.In addition, to further evaluate the performance of the proposed method, experiments were carried out on Singapore maritime dataset (SMD).The results illustrate that the method proposed can effectively solve the problem of difficult detection of multi-scale ships in complex marine environment, and meet the real-time requirements at the same time.…”
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Bottom-Up Approach Ship Emission Inventory in Port of Incheon Based on VTS Data
Published 2021-01-01“…This paper supports the application of data collected from the vessel tracking service system with a bottom-up approach to generate a comprehensive 2019 local ship emission inventory at Port of Incheon. …”
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A Fully Nonlinear, Dynamically Consistent Numerical Model for Ship Maneuvering in a Seaway
Published 2011-01-01“…In particular, the numerical time series of roll and pitch motions and the numerical ship tracks (i.e., surge, sway, and yaw) are nearly identical to those of experiments.…”
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Ship Collision Risk Assessment Algorithm Based on the Especial Cautious Navigation Angle Model
Published 2025-01-01“…This algorithm not only effectively tracks the evolving risk of collisions but also prioritizes ships with the most imminent danger of collision. …”
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A Deep Learning-Based Time-Frequency Scheme for Ship Detection Using HFSWR
Published 2025-01-01“…Compact High frequency surface wave radar (HFSWR) has been widely used in remote sensing of oceanic dynamics and ship targets due to its convenient deployment and low cost. …”
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Neural Network Supervision Control Strategy for Inverted Pendulum Tracking Control
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STABILITY ANALYSIS OF A SHIPBORNE LARGE APERTURE TELESCOPE TRACKING FRAME
Published 2024-01-01“…In order to gain insight into the stability of the tracking frame structure of shipborne large-aperture telescopes,the stability of typical ground-level telescope tracking frames was studied. …”
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Extended Object Tracking Based on Gaussian Process in Non-Gaussian Noise Environment
Published 2025-01-01“… Extended object tracking (EOT) is a prominent research area in high-resolution radar surveillance, ship tracking, and video tracking. …”
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An Improved Correlation Filtering Method for Tracking Maritime Small Targets of GF-4 Staring Satellite Sequence Images
Published 2025-01-01“…In this paper, GF-4 staring satellite’s sequence images are taken as the research objects, and its features such as “short imaging interval, long image sequence and high resolution” are used to solve the tracking problem of large and medium ships at sea. …”
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Close Contact Tracing and Risky Area Identification Using Alpha Shape Algorithm and Binary Contact Detection Model Based on Bluetooth 5.1
Published 2024-12-01“…This study presents a novel approach to managing disease outbreaks on cruise ships by integrating Bluetooth 5.1 technology, a Binary Contact Detection Model, and an alpha shape algorithm. …”
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