Autonomous Unmanned Surface Vehicle for Water Surface Monitoring

Nikishin, V. V.; Durmanov, M.A.; Skorik, Igor

doi:10.12716/1001.14.04.09

Cited by 4 publications

(3 citation statements)

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“…4 -Беспилотный аппарат "Primo Victoria" в качестве носителя приборов, модуля регистрации и модуля управления В течение 2017-2021 гг. авторами публикации разработан малогабаритный беспилотный аппарат "Primo Victoria" в качестве средства доставки приборов (Nikishin et al, 2020). На нем были проведены первые натурные тесты применения эхолота и датчиков ТМА-21 и ТМА-51 в составе автоматизированной модульной системы, а также тесты функций автопилота.…”

Section: интеграция модуля регистрации измерений и измерительных приб...unclassified

Integration of Digital Measuring Sensors Into Unmanned Surface Vehicles for Monitoring Work in Coastal Areas

Nikishin

Bagaev

2023

JOR

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Modern oceanological research in the coastal zone is not only a science-intensive task, but also a popular service with high practical significance. Modern unmanned surface vehicles (UAVs) allow one to move echo sounders, conductometers, samplers and other measuring instruments on the surface of the sea and carry out measurements without direct human involvement. Their use accelerates the organization and course of expeditions, expands the research area: due to their small size they can work in shallow areas with complex orography, where it is dangerous to use vessels with a crew. However, in the domestic oceanological practice there is no universal and cost-effective import substitution platform for solving such a wide range of tasks. This paper presents the results of the development of a universal parameter registration module, a mounting module for instruments and an automatic navigation unit for use in surface unmanned vehicles for hydrographic and oceanological research. The diagrams of the printed circuit board, algorithms of operation and examples of use in the coastal zone of the Black Sea and on some hydrological objects in expeditions of various duration are given. The developed module has a high potential for modernization, low cost and is easily replicated for use both as part of various unmanned complexes and in scientific and methodological tasks.

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Section: интеграция модуля регистрации измерений и измерительных приб...unclassified

Integration of Digital Measuring Sensors Into Unmanned Surface Vehicles for Monitoring Work in Coastal Areas

Nikishin

Bagaev

2023

JOR

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“…Deploying AI in maritime environments is challenging, but USVs with AI and video surveillance navigate these with exceptional precision. Studies highlight USVs' versatility, including environmental preservation [1], navigating difficult terrains [2], and charting in shallow waters [3]. Further research [4], [5] delves into their roles in various maritime missions and environmental monitoring, underscoring USVs' technological advancements and their importance for maritime management and conservation.…”

Section: Introductionmentioning

confidence: 99%

Enhanced YOLOv8 Ship Detection Empower UnmannedSurface Vehicles for Advanced Maritime Surveillance

HAIJOUB,

HATIM,

HAMMIA

et al. 2024

Preprint

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The evolution of maritime surveillance is sig-nificantly marked by the incorporation of Artificial In-telligence and machine learning into Unmanned SurfaceVehicles (USVs). This paper presents a an AI methodfor detecting and tracking unmanned surface vehicles,specifically leveraging an enhanced version of YOLOv8,fine-tuned for maritime surveillance needs. Deployedon the NVIDIA Jetson TX2 platform, the system fea-tures an innovative architecture and perception mod-ule optimized for real-time operations and energy effi-ciency. Demonstrating superior detection accuracy witha mean Average Precision (mAP) of 0.99 and achievingan operational speed of 17.99 FPS, all while maintain-ing energy consumption at just 5.61 joules. The remark-able balance between accuracy, processing speed, and energy efficiency underscores the potential of this sys-tem to significantly advance maritime safety, security,and environmental monitoring.

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“…Small surface vessels increasingly often replace cutters and hydrographic motorboats in bathymetric surveys in the inshore zone [1][2][3][4][5][6][7][8][9][10]. Small size and high manoeuverability, as well as one-man personnel, are among their main advantages.…”

Section: Introductionmentioning

confidence: 99%

Coastal Bathymetric Sounding in Very Shallow Water Using USV: Study of Public Beach in Gdynia, Poland

Makar

2023

Sensors

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The bathymetric surveys executed with a use of small survey vessels in limited water areas, including offshore areas, require precise determination of the geospatial coordinates of the seabed which is a synthesis of, among others, determining the position coordinates and measuring the depth. Inclination of the seabed and the declining depth make manoeuvring of the sounding vessel, e.g., a hydrographic motorboat or Unmanned Survey Vehicle (USV), in shallow water impossible. Therefore, it is important to determine the minimal depth for the survey resulting from the draught of the sounding vessel and the limits of the sounding area. The boundaries also result from the dimensions of the sounding vessel, its manoeuvring parameters and local water level. Type of the echosounder used in the bathymetric survey is a decisive factor for the sounding profile planning and the distances between them and the survey vessel for the possibility performing the measurements in shallow water. Electronic Navigational Chart (ENC) was used to determine the water area’s boundaries, and the safety contours were determined on the basis of the built Digital Sea Bottom Model (DSBM). The safety contour, together with the vessel’s dimensions, its manoeuvring parameters and the hydrometeorological conditions, limit the offshore area in which the measurement can be performed. A method of determining boundaries of the survey performed by a USV equipped with SingleBeam EchoSounder (SBES) on survey lines perpendicular to the coastal line are presented in the paper in order to cover the water area with the highest amount of measurement data, with the USV’s navigational safety taken into consideration. The measurements executed on the municipal beach served verification of the DSBM.

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Autonomous Unmanned Surface Vehicle for Water Surface Monitoring

Cited by 4 publications

References 0 publications

Integration of Digital Measuring Sensors Into Unmanned Surface Vehicles for Monitoring Work in Coastal Areas

Integration of Digital Measuring Sensors Into Unmanned Surface Vehicles for Monitoring Work in Coastal Areas

Enhanced YOLOv8 Ship Detection Empower UnmannedSurface Vehicles for Advanced Maritime Surveillance

Coastal Bathymetric Sounding in Very Shallow Water Using USV: Study of Public Beach in Gdynia, Poland

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