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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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,…