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Autonomous shipping has recently gained much interest in the research community. However, little research focuses on inland - and port navigation, even though this is identified by countries such as Belgium and the Netherlands as an…

Vessel trajectory prediction is fundamental to intelligent maritime systems. Within this domain, short-term prediction of rapid behavioral changes in complex maritime environments has established multimodal trajectory prediction (MTP) as a…

Machine Learning · Computer Science 2026-02-05 Rui Zhang , Chao Li , Kezhong Liu , Chen Wang , Bolong Zheng , Hongbo Jiang

Maritime transportation is the backbone of global trade, making ship inspection essential for ensuring maritime safety and environmental protection. Port State Control (PSC), conducted by national ports, enforces compliance with safety…

Artificial Intelligence · Computer Science 2025-05-27 Jiongchao Jin , Xiuju Fu , Xiaowei Gao , Tao Cheng , Ran Yan

Critical evaluation and understanding of ship responses in the ocean is important for not only the design and engineering of future platforms but also the operation and safety of those that are currently deployed. Simulations or experiments…

Machine Learning · Computer Science 2023-01-25 Kevin M. Silva , Kevin J. Maki

The rise of automated scanning tools and AI assisted reconnaissance agents has significantly altered internet background traffic patterns, threatening the baseline assumptions underlying intrusion detection systems (IDS) deployed in…

Cryptography and Security · Computer Science 2026-05-15 Alex Carbajal , Caleb Faultersack , Jonahtan Vasquez , Shereen Ismail , Asma Jodeiri Akbarfam

This paper enhances the obstacle avoidance of Autonomous Surface Vehicles (ASVs) for safe navigation in high-traffic waters with an active state estimation of obstacle's passing intention and reducing its uncertainty. We introduce a…

Robotics · Computer Science 2024-11-05 Mingi Jeong , Arihant Chadda , Alberto Quattrini Li

Recently, advances in machine learning techniques have attracted the attention of the research community to build intrusion detection systems (IDS) that can detect anomalies in the network traffic. Most of the research works, however, do…

Cryptography and Security · Computer Science 2018-12-14 Tara Salman , Deval Bhamare , Aiman Erbad , Raj Jain , Mohammed Samaka

This study explores the usefulness of machine learning classifiers for modeling freight mode choice. We investigate eight commonly used machine learning classifiers, namely Naive Bayes, Support Vector Machine, Artificial Neural Network,…

Machine Learning · Computer Science 2024-02-02 Majbah Uddin , Sabreena Anowar , Naveen Eluru

Maritime domain awareness is critical for protecting sea lanes, ports, harbors, offshore structures and critical infrastructures against common threats and illegal activities. Limited surveillance resources constrain maritime domain…

Machine Learning · Computer Science 2015-08-04 Hamed Yaghoubi Shahir , Uwe Glässer , Amir Yaghoubi Shahir , Hans Wehn

Tracking fish movements and sizes of fish is crucial to understanding their ecology and behaviour. Knowing where fish migrate, how they interact with their environment, and how their size affects their behaviour can help ecologists develop…

Computer Vision and Pattern Recognition · Computer Science 2025-02-27 Alzayat Saleh , Marcus Sheaves , Dean Jerry , Mostafa Rahimi Azghadi

Visual object tracking performance has been dramatically improved in recent years, but some severe challenges remain open, like distractors and occlusions. We suspect the reason is that the feature representations of the tracking targets…

Computer Vision and Pattern Recognition · Computer Science 2021-10-29 Mengmeng Wang , Xiaoqian Yang , Yong Liu

We present a method to improve the accuracy of a foot-mounted, zero-velocity-aided inertial navigation system (INS) by varying estimator parameters based on a real-time classification of motion type. We train a support vector machine (SVM)…

Robotics · Computer Science 2018-07-17 Brandon Wagstaff , Valentin Peretroukhin , Jonathan Kelly

For an autonomous surface vessel (ASV) to dock, it must track other vessels close to the docking area. Kayaks present a particular challenge due to their proximity to the dock and relatively small size. Maritime target tracking has…

Computer Vision and Pattern Recognition · Computer Science 2025-02-26 Nicholas Dalhaug , Annette Stahl , Rudolf Mester , Edmund Førland Brekke

Knowledge about vessel activity in port areas and around major industrial zones provides insights into economic trends, supports decision-making for shipping and port operators, and contributes to maritime safety. Vessel data from…

Computational Engineering, Finance, and Science · Computer Science 2026-01-29 Moritz Hütten

Starting from 2021, more demanding $\text{NO}_\text{x}$ emission restrictions were introduced for ships operating in the North and Baltic Sea waters. Since all methods currently used for ship compliance monitoring are financially and time…

Machine Learning · Computer Science 2023-04-10 Solomiia Kurchaba , Jasper van Vliet , Fons J. Verbeek , Cor J. Veenman

Automated fish documentation processes are in the near future expected to play an essential role in sustainable fisheries management and for addressing challenges of overfishing. In this paper, we present a novel and publicly available…

Computer Vision and Pattern Recognition · Computer Science 2025-01-08 Stefan Hein Bengtson , Daniel Lehotský , Vasiliki Ismiroglou , Niels Madsen , Thomas B. Moeslund , Malte Pedersen

Detecting Internet routing instability is a critical yet challenging task, particularly when relying solely on endpoint active measurements. This study introduces TRACE, a MachineLearning (ML)pipeline designed to identify route changes…

Networking and Internet Architecture · Computer Science 2026-04-06 Raul Suzuki , Rodrigo Moreira , Pedro Henrique A. Damaso de Melo , Larissa F. Rodrigues Moreira , Flávio de Oliveira Silva

Underwater surveys conducted using divers or robots equipped with customized camera payloads can generate a large number of images. Manual review of these images to extract ecological data is prohibitive in terms of time and cost, thus…

Computer Vision and Pattern Recognition · Computer Science 2020-09-22 Scarlett Raine , Ross Marchant , Peyman Moghadam , Frederic Maire , Brett Kettle , Brano Kusy

Road transportation is of critical importance for a nation, having profound effects in the economy, the health and life style of its people. With the growth of cities and populations come bigger demands for mobility and safety, creating new…

Machine Learning · Computer Science 2019-08-28 M. Ricardo Carlos

Visual Object Tracking (VOT) is a fundamental task with widespread applications in autonomous navigation, surveillance, and maritime robotics. Despite significant advances in generic object tracking, maritime environments continue to…

Computer Vision and Pattern Recognition · Computer Science 2025-06-04 Ahsan Baidar Bakht , Muhayy Ud Din , Sajid Javed , Irfan Hussain
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