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相关论文: AIS Data-Driven Maritime Monitoring Based on Trans…

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The Automatic Identification System (AIS) tracks vessel movement by means of electronic exchange of navigation data between vessels, with onboard transceiver, terrestrial and/or satellite base stations. The gathered data contains a wealth…

其他计算机科学 · 计算机科学 2016-06-06 Enmei Tu , Guanghao Zhang , Lily Rachmawati , Eshan Rajabally , Guang-Bin Huang

In recent years, maritime safety and efficiency become more and more important across the world. Automatic Identification System (AIS) tracks vessel movement by onboard transceiver and terrestrial and/or satellite base station. The data…

数据库 · 计算机科学 2016-10-14 Shangbo Mao , Enmei Tu , Guanghao Zhang , Lily Rachmawati , Eshan Rajabally , Guang-Bin Huang

Vessel trajectory prediction plays a pivotal role in numerous maritime applications and services. While the Automatic Identification System (AIS) offers a rich source of information to address this task, forecasting vessel trajectory using…

人工智能 · 计算机科学 2024-01-09 Duong Nguyen , Ronan Fablet

The prosperity of artificial intelligence has aroused intensive interests in intelligent/autonomous navigation, in which path prediction is a key functionality for decision supports, e.g. route planning, collision warning, and traffic…

人工智能 · 计算机科学 2022-01-11 Enmei Tu , Guanghao Zhang , Shangbo Mao , Lily Rachmawati , Guang-Bin Huang

Efficiently handling Automatic Identification System (AIS) data is vital for enhancing maritime safety and navigation, yet is hindered by the system's high volume and error-prone datasets. This paper introduces the Automatic Identification…

Maritime autonomous systems require robust predictive capabilities to anticipate vessel motion and environmental dynamics. While transformer architectures have revolutionized AIS-based trajectory prediction and demonstrated feasibility for…

计算机视觉与模式识别 · 计算机科学 2025-12-23 Bjorna Qesaraku , Jan Steckel

Automatic Identification System (AIS) data represents a rich source of information about maritime traffic and offers a great potential for data analytics and predictive modeling solutions, which can help optimizing logistic chains and to…

人工智能 · 计算机科学 2021-05-04 Tomaz Martincic , Dejan Stepec , Joao Pita Costa , Kristijan Cagran , Athanasios Chaldeakis

The automatic identification system (AIS) reports vessels' static and dynamic information, which are essential for maritime traffic situation awareness. However, AIS transponders can be switched off to hide suspicious activities, such as…

信号处理 · 电气工程与系统科学 2020-02-13 Sandeep Kumar Singh , Frank Heymann

The worldwide growth of maritime traffic and the development of the Automatic Identification System (AIS) has led to advances in monitoring systems for preventing vessel accidents and detecting illegal activities. In this work, we describe…

机器学习 · 计算机科学 2019-08-15 Lucas May Petry , Amilcar Soares , Vania Bogorny , Stan Matwin

In a world of global trading, maritime safety, security and efficiency are crucial issues. We propose a multi-task deep learning framework for vessel monitoring using Automatic Identification System (AIS) data streams. We combine recurrent…

机器学习 · 计算机科学 2019-04-24 Duong Nguyen , Rodolphe Vadaine , Guillaume Hajduch , René Garello , Ronan Fablet

The oceans are a source of an impressive mixture of complex data that could be used to uncover relationships yet to be discovered. Such data comes from the oceans and their surface, such as Automatic Identification System (AIS) messages…

机器学习 · 计算机科学 2024-09-06 Gabriel Spadon , Martha D. Ferreira , Amilcar Soares , Stan Matwin

The Automatic Identification System (AIS) provides time stamped vessel positions and kinematic reports that enable maritime authorities to monitor traffic. We consider the problem of relabeling AIS trajectories when vessel identifiers are…

应用统计 · 统计学 2025-12-15 John Mahlon Scott , Hsin-Hsiung Huang

The automatic identification system (AIS) and video cameras have been widely exploited for vessel traffic surveillance in inland waterways. The AIS data could provide the vessel identity and dynamic information on vessel position and…

计算机视觉与模式识别 · 计算机科学 2023-02-23 Yu Guo , Ryan Wen Liu , Jingxiang Qu , Yuxu Lu , Fenghua Zhu , Yisheng Lv

Maritime surveillance (MS) is crucial for search and rescue operations, fishery monitoring, pollution control, law enforcement, migration monitoring, and national security policies. Since the early days of seafaring, MS has been a critical…

Ship trajectories from Automatic Identification System (AIS) messages are important in maritime safety, domain awareness, and algorithmic testing. Although the specifications for transmitting and receiving AIS messages are fixed, it is well…

应用统计 · 统计学 2024-08-26 Niklas Paulig , Ostap Okhrin

Automatic Identification System (AIS) messages are useful for tracking vessel activity across oceans worldwide using radio links and satellite transceivers. Such data plays a significant role in tracking vessel activity and mapping mobility…

机器学习 · 计算机科学 2022-08-23 Martha Dais Ferreira , Gabriel Spadon , Amilcar Soares , Stan Matwin

Marine ecosystems face increasing pressure due to climate change, driving the need for scalable, AI-powered monitoring solutions to inform effective conservation and restoration efforts. This paper examines the rapid emergence of underwater…

机器人学 · 计算机科学 2026-04-10 Scarlett Raine , Tobias Fischer

Maritime AIS (Automatic Identification Systems) data serve as a valuable resource for studying vessel behavior. This study proposes a methodology to analyze route between maritime points of interest and extract geo-referenced standard…

Maritime surveillance (MS) is of paramount importance for search and rescue operations, fishery monitoring, pollution control, law enforcement, migration monitoring, and national security policies. Since ground-based radars and automatic…

Automatic Ship Identification Systems (AIS) play a key role in monitoring maritime traffic, providing the data necessary for analysis and decision-making. The integrity of this data is fundamental to the correctness of infer-ence and…

密码学与安全 · 计算机科学 2025-01-08 Adam Kiersztyn , Dariusz Czerwiński , Aneta Oniszczuk-Jastrzabek , Ernest Czermański , Agnieszka Rzepka
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