Article
Chemistry, Analytical
Somnath Ghosh, Pramod Kumar Konugurthi, Gowri Shankar Rao Singupurapu, Shivi Patel, Tirupathi Tammanagari, Mallikarjuna Rao Desu, Lalit Krushna Thakar, Ishika Ghara
Summary: In recent years, there has been an increased interest in ocean surveillance, particularly in controlling and monitoring illegal fisheries, ocean pollution, and sea traffic. The key challenge lies in accurately and timely identifying ships and vessel-like objects. Current solutions often face limitations in terms of limited swath coverage, leading to the need for multiple satellites to cover a region, and in terms of transmitting large volumes of data to ground despite minimal per-pixel information content. The proposed ship detection system aims to address these limitations by utilizing onboard data processing, a modified CFAR algorithm for ship detection, and a false alarm suppression module. It aims to reduce data volume and processing time while utilizing radiation-hardened FPGA devices for real-time performance and engineering constraints.
Article
Engineering, Marine
Jevon Chan, David Golightly, Rose Norman, Kayvan Pazouki
Summary: This paper examines the perceptions and attitudes of 100 navigational seafaring participants towards autonomous systems. The study found that seafarers are receptive towards autonomous shipping, but have concerns about responsibility and safety issues.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Industrial
Esma Uflaz, Emre Akyuz, Ozcan Arslan, Erkan Celik
Summary: This paper conducts a comprehensive effectiveness analysis of ISM Code implementation using the best-worst method (BWM) to enhance the safety management system (SMS) implementation, providing significant contribution to ship management companies and safety professionals.
Article
Environmental Sciences
Fang Li, Yishui Shui, Jiayao Liang, Kun Yang, Junyi Yu
Summary: By modeling the measured data of marine wireless channels and creating sea surface morphology models under multiple wind speeds, this paper calculates the radio propagation characteristics of the Pearl River estuary and estimates the path loss in the same area under different conditions using the Monte Carlo method. The simulation results show that the electric wave propagation gradually changes from the round earth loss (REL) model to the free space model with increasing wind speed. The distribution of the shadow fading varies with distance. The findings provide references for the network planning of marine communication.
FRONTIERS IN MARINE SCIENCE
(2023)
Article
Computer Science, Information Systems
Tolga Ahmet Gulcan, Kadir Emrah Erginer
Summary: Many countries and international organizations have developed new maritime security strategies or policies in response to the 9/11 terrorist attacks, along with appropriate Maritime Situational Awareness (MSA) models. These strategies have been adjusted to address new concerns such as maritime deterioration, climate change, cyberattacks, crime, epidemics, and state-made threats. The sabotage of the Nord Stream gas pipelines in the Baltic Sea has added a new dimension to maritime security doctrines. This study highlights the need for cross-governmental maritime security strategies and the use of innovative technologies to protect critical infrastructure under the seas.
INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION
(2023)
Article
Geosciences, Multidisciplinary
Nuwan Waidyanatha, Lutz Frommberger
Summary: This paper investigates the comprehensibility and appropriateness of complex alerting and reporting pictographs through a field study with illiterate individuals in Sri Lanka and the Philippines. The study finds that complex representations can be well understood, particularly when context objects are included. It also highlights the need for further research and proposes steps towards designing pictograph-based communication, especially on mobile devices.
Article
Engineering, Electrical & Electronic
Ming Xu, Liang Chen, Hao Shi, Zhu Yang, Jiahao Li, Teng Long
Summary: This article proposes an FPGA-based implementation of ship detection for on-board processing, which achieves high efficiency and reduces resource consumption through clustering and data-buffering cycle optimization.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Engineering, Marine
Minahil Raza, Hanna Prokopova, Samir Huseynzade, Sepinoud Azimi, Sebastien Lafond
Summary: The use of digital twins in the development of Autonomous Maritime Surface Vessels (AMSVs) has great potential to address the needs for water-based navigation and safety. A framework for developing a fully autonomous vessel using an integrated digital twin in a 3D simulation environment is proposed. Machine learning-based obstacle detection and path planning systems are developed using live data from the simulation environment to mirror real-world dynamics. The framework shows promise for training and evaluating Deep Reinforcement Learning models.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Civil
Ralf Bruns, Jurgen Dunkel, Serif Seremet
Summary: Maritime surveillance systems are crucial for ensuring smooth and safe maritime traffic. This paper proposes an extension to the Bat4CEP rule learning approach to meet the specific requirements of the maritime domain. By including temporal-spatial operators and domain-specific functions in the rule language, complex maritime situations can be expressed in a simplified and understandable form. Extensive experiments with real maritime data streams demonstrate the effectiveness of the approach.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Software Engineering
Felix Sattler, Borja Carrillo-Perez, Sarah Barnes, Karsten Stebner, Maurice Stephan, Gregor Lux
Summary: Assessing the security status of maritime infrastructures is crucial for ensuring maritime safety and security. This study proposes a new real-time 3D reconstruction framework for enhancing situational awareness of maritime objects. The presented pipeline runs entirely on a remote, low-power embedded system.
Article
Engineering, Marine
Brian Murray, Lokukaluge Prasad Perera
Summary: This study presents a method that uses historical AIS data to predict the future trajectory of a selected vessel. By evaluating historical ship behavior and applying machine learning techniques, the method predicts behavior modes and trajectories for the selected vessel. The approach clusters relevant trajectory segments to extract better historical ship behavior modes and utilizes enhanced data for trajectory predictions.
JOURNAL OF OCEAN ENGINEERING AND SCIENCE
(2022)
Article
Computer Science, Information Systems
Massimo Cafaro, Italo Epicoco, Marco Pulimeno, Emanuele Sansebastiano
Summary: This paper presents a method of simultaneously using three different technologies to provide enhanced support for ship sailing. By fusing the information from a camera, radar/Lidar, and AIS receiver, it is possible to automatically detect surrounding ships and seamarks, determine the distance between the ship and acquired targets, and gather useful information about the surrounding ships. The experimental results are promising, and the authors believe that this simultaneous use of technologies is a step towards fully autonomous ship sailing.
Article
Transportation Science & Technology
Oleksiy Melnyk, Yuriy Bychkovsky, Andrii Voloshyn
Summary: This article focuses on the importance of situational awareness in making the right decisions in the maritime industry, and proposes to study the factors influencing this phenomenon.
SCIENTIFIC JOURNAL OF SILESIAN UNIVERSITY OF TECHNOLOGY-SERIES TRANSPORT
(2022)
Article
Environmental Sciences
Farshad Farahnakian, Florent Nicolas, Fahimeh Farahnakian, Paavo Nevalainen, Javad Sheikh, Jukka Heikkonen, Csaba Raduly-Baka
Summary: This study aims to explore the performance of clustering methods in detecting malicious ship behaviors using the Automatic Identification System (AIS). Experimental results show that the K-means clustering method is effective in detecting dark ships and spiral vessel movements.
Article
Computer Science, Information Systems
Xinqiang Chen, Jinbiao Zheng, Chaofeng Li, Bing Wu, Huafeng Wu, Jakub Montewka
Summary: This study aims to analyze maritime traffic situations using ship imaging trajectories. Experimental results show that the proposed framework can extract high-resolution ship imaging trajectories to achieve accurate maritime traffic situation awareness.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Proceedings Paper
Geosciences, Multidisciplinary
Kurt Schwenk, Moritz Ulmer, Ting Peng
HIGH-PERFORMANCE COMPUTING IN GEOSCIENCE AND REMOTE SENSING VIII
(2018)
Proceedings Paper
Remote Sensing
Katherina A. M. Willburger, Kurt Schwenk
IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XXIII
(2017)
Proceedings Paper
Environmental Sciences
Kurt Schwenk, Katharina Willburger, Sebastian Pless
EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS VIII
(2017)
Proceedings Paper
Engineering, Electrical & Electronic
Kurt Schwenk, Maria Schoenermark, Felix Huber
IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XIX
(2013)
