AIMC Topic: Ships

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Research on the Coordinate Attention Mechanism Fuse in a YOLOv5 Deep Learning Detector for the SAR Ship Detection Task.

Sensors (Basel, Switzerland) Apr 28, 2022
The real-time performance of ship detection is an important index in the marine remote sensing detection task. Due to the computing resources on the satellite being limited by the solar array size and the radiation-resistant electronic components, in...
Algorithms Deep Learning Ships Radar
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The Application of Automatic Identification System Information and PSO-LSTM Neural Network in CRI Prediction.

Computational intelligence and neuroscience Mar 24, 2022
Considering that collision accidents happen sometimes, it is necessary to predict the collision risk to ensure navigation safety. With the information construction in maritime and the popularity of automatic identification system application, it is m...
Neural Networks, Computer Ships Accidents
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Path following Control of an Underactuated Catamaran for Recovery Maneuvers.

Sensors (Basel, Switzerland) Mar 14, 2022
This paper focuses on the autonomous recovery maneuvers of an unknown underactuated practical catamaran, which returns to its initial position corresponding to the man overboard (MOB) by simply adjusting the rate of turn. This paper investigates the ...
Humans Neural Networks, Computer Algorithms Time Factors Ships
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Probabilistic Maritime Trajectory Prediction in Complex Scenarios Using Deep Learning.

Sensors (Basel, Switzerland) Mar 7, 2022
Maritime activity is expected to increase, and therefore also the need for maritime surveillance and safety. Most ships are obligated to identify themselves with a transponder system like the Automatic Identification System (AIS) and ships that do no...
Forecasting Deep Learning Ships
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CAFC-Net: A Critical and Align Feature Constructing Network for Oriented Ship Detection in Aerial Images.

Computational intelligence and neuroscience Feb 24, 2022
Ship detection is one of the fundamental tasks in computer vision. In recent years, the methods based on convolutional neural networks have made great progress. However, improvement of ship detection in aerial images is limited by large-scale variati...
Neural Networks, Computer Remote Sensing Technology Ships
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Robust Ship Detection in Infrared Images through Multiscale Feature Extraction and Lightweight CNN.

Sensors (Basel, Switzerland) Feb 6, 2022
The sophistication of ship detection technology in remote sensing images is insufficient, the detection results differ substantially from the practical requirements, mainly reflected in the inadequate support for the differentiated application of mul...
Neural Networks, Computer Algorithms Technology Ships Telemetry
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Multi-Stage Feature Extraction and Classification for Ship-Radiated Noise.

Sensors (Basel, Switzerland) Dec 24, 2021
Due to the complexity and unique features of the hydroacoustic channel, ship-radiated noise (SRN) detected using a passive sonar tends mostly to distort. SRN feature extraction has been proposed to improve the detected passive sonar signal. Unfortuna...
Support Vector Machine Ships Entropy Recognition, Psychology
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Long-Term Ship Position Prediction Using Automatic Identification System (AIS) Data and End-to-End Deep Learning.

Sensors (Basel, Switzerland) Oct 28, 2021
The establishment of maritime safety and security is an important concern. Ship position prediction for maritime situational awareness (MSA), as a critical aspect of maritime safety and security, requires a longer time interval than collision avoidan...
Deep Learning Ships Oceans and Seas
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Control of Dynamic Positioning System with Disturbance Observer for Autonomous Marine Surface Vessels.

Sensors (Basel, Switzerland) Oct 10, 2021
The main goal of the research is to design an efficient controller for a dynamic positioning system for autonomous surface ships using the backstepping technique for the case of full-state feedback in the presence of unknown external disturbances. Th...
Neural Networks, Computer Algorithms Computer Simulation Feedback Ships
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Ship Radiated Noise Recognition Technology Based on ML-DS Decision Fusion.

Computational intelligence and neuroscience Oct 7, 2021
Ship radiated noise is an important information source of underwater acoustic targets, and it is of great significance to the identification and classification of ship targets. However, there are a lot of interference noises in the water, which leads...
Neural Networks, Computer Machine Learning Algorithms Technology Ships
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