automatic identification system
PulseAugur coverage of automatic identification system — every cluster mentioning automatic identification system across labs, papers, and developer communities, ranked by signal.
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Transformer models enhance ship trajectory forecasting using AIS data
Researchers have developed new Transformer and Performer models for predicting ship trajectories using Automatic Identification System (AIS) data. These models incorporate historical local vessel movement patterns, enco…
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New Mix&Fix-Net model improves vessel trajectory prediction using dual data sources
Researchers have developed Mix&Fix-Net, a novel dual-stage model designed to improve vessel trajectory prediction by integrating data from automatic identification systems (AIS) and vision-derived sources. This model ad…
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New framework enables scalable clustering and anomaly detection for maritime trajectories
Researchers have developed STCAD, a scalable framework for unsupervised clustering and anomaly detection of maritime trajectories from large Automatic Identification System (AIS) datasets. The system utilizes a custom B…
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Generative AI framework creates realistic maritime safety scenarios for autonomous ship testing
Researchers have developed a new generative AI framework designed to create realistic and diverse safety-critical encounter scenarios for the digital testing of autonomous maritime navigation systems. This framework con…
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AI framework predicts supply chain risks with verifiable explanations
Researchers have developed a new framework that combines a Temporal Graph Attention Network (TGAT) with a large language model (LLM) to improve early warning systems for supply chain risks. This approach not only predic…
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NavEYE system enhances vehicle situational awareness with multi-sensor fusion
Researchers have developed NavEYE, a vision-centered system that fuses data from multiple sensors to enhance situational awareness for intelligent surface vehicles. The system integrates automatic identification system …
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New HARBOR pipeline predicts vessel movement from single SAR images
Researchers have developed HARBOR, a new pipeline designed to predict vessel movement from single synthetic aperture radar (SAR) images, even when traditional tracking data like AIS is unavailable. The system preprocess…
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Memory-augmented neural networks improve vessel trajectory prediction
Researchers have explored the use of memory-augmented neural networks for predicting vessel trajectories using Automatic Identification System (AIS) data. This approach aims to improve the safety and efficiency of marit…
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Arctic Shipping Speed Optimization Model Balances Efficiency and Environmental Risk
A new research paper published on arXiv details a constrained optimization framework for vessel speed decisions in the Arctic. The model balances transit efficiency with environmental risks, such as ice and whale encoun…
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Maritime ETA prediction system uses historical knowledge graph
A new methodology uses Automatic Identification System (AIS) data to construct a historical maritime knowledge graph for predicting vessel estimated-time-of-arrival (ETA). This graph, comprising over 5,000 nodes and 12,…