Relevant bibliographies by topics / Unmanned water vehicles

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Unmanned water vehicles'

Author: Grafiati
Published: 2 June 2025
Last updated: 22 June 2025

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Journal articles on the topic "Unmanned water vehicles"

1

Bruzzone, Gabriele, Roberta Ferretti, and Angelo Odetti. "Unmanned Marine Vehicles." Journal of Marine Science and Engineering 9, no. 3 (2021): 257. http://dx.doi.org/10.3390/jmse9030257.

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Chen, Mingzhang, Xuancheng Zhang, Xiaoshuang Xiong, Fanfei Zeng, and Wuhao Zhuang. "Transformer: A Multifunctional Fast Unmanned Aerial Vehicles–Unmanned Surface Vehicles Coupling System." Machines 9, no. 8 (2021): 146. http://dx.doi.org/10.3390/machines9080146.

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With the continuous development of the maritime economy, the maritime unmanned surface vehicles (USVs) and unmanned aerial vehicles (UAVs) have become important parts of the maritime transportation system. Unmanned vehicles play a pivotal role in water safety management, offshore patrol and maritime rescue. Consequently, this article researches and develops an unmanned aerial vehicle–unmanned surface vehicle (UAV-USV) coupling system with multiple functions. The ship body module, the deformation module and the UAV module are designed by using the modular analysis method, then volume of fluid (VOF) technology and STAR-CCM+ software are applied to analyze the ship resistance before and after deformation and optimize it. The results show that the Transformer has high speed before deformation and stable navigation ability after deformation, and it can navigate in high winds and waves. It has a large reconnaissance range and some radar stealth capability, which can fulfill different tasks, such as maritime patrol, military strike and maritime rescue.
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Prajwal Shenoy, T., K. Praveen Shenoy, Lukhman Khan, Sabdar Aziz, Sayed Afran, and Kamlesh Kumar. "Design and development of a novel triphibian quadcopter." International Journal of Engineering & Technology 7, no. 2.21 (2018): 1. http://dx.doi.org/10.14419/ijet.v7i2.21.11822.

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Multimodal Vehicles can travel in at least two distinctive modes of transportation, be it air and water, land and water or air and land. In this paper, design and development of a novel unmanned multimodal vehicle is presented that can travel in air, land and water, also called a as a triphibian quadcopter which would prove beneficial in rescue operations and operations involving hazardous environments. The vehicle is essentially a mix of unmanned aerial vehicle, unmanned ground vehicle and unmanned surface vehicle and is equipped with mechanisms to travel in land, air and water at the will of the operator. The entire framework of the vehicle is built on the multi rotor configuration. Flight tests were conducted to validate the design.
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Grigoryev, I. V., I. N. Dmitrieva, and O. A. Kunitskaya. "Unmanned vehicles for forest complex and monitoring of water bodies’ state." REPAIR RECONDITIONING MODERNIZATION 10 (2021): 3–10. http://dx.doi.org/10.31044/1684-2561-2021-0-10-3-10.

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Military-industrial complexes of many countries have invested billions of dollars in the industry over 120 years of development and have achieved significant progresses in the creation of surface, water and underwater equipment. Groups of military unmanned vehicles include unmanned aerial vehicles (UAVs), deck-based UAVs, water, underwater and hybrid unmanned vehicles (UAVs). Their purpose is intelligence, surveillance, strategic research projects, and military transport purposes. As for the civilian use of unmanned vehicles, this is a young industry, it is 15 years old. The beginning of the era of non-military unmanned aerial vehicles (UAVs) and then unmanned floating vehicles (UAVs) is considered to be 2006, when the US Federal Aviation Administration allowed the flights of small custom drones. At the same time, they were given a definition: a device that is remotely controlled by an operator; a device that moves along a pre-planned route. Unmanned vehicles the use of which for the purposes of the forest complex of our country is carried out or is planned to begin in the near future must meet some special requirements that are discussed in this article.
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Dobref, Vasile, Octavian Tărăbuţă, and Cătălin-Paul Clinci. "Unmanned Surface And Undersea Vehicles: Capabilities And Potential." International conference KNOWLEDGE-BASED ORGANIZATION 21, no. 3 (2015): 673–78. http://dx.doi.org/10.1515/kbo-2015-0114.

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Abstract This paper proposes a new technological solution for the sea observation using an Unmanned Surface Vehicle (USV) or Unmanned Undersea Vehicles (UUV). The term USV refers to any vehicle that operates on the surface of the water without a crew. USVs have the potential, and in some cases the demonstrated ability, to reduce risk to manned forces, provide the necessary force multiplication to accomplish military missions, perform tasks which manned vehicles cannot, and do so in a way that is affordable for the navy. In this paper we examine the use of unmanned vehicles (USV and UUV) which can replace the manned sea patrol system with additional sensors and high performance communication systems in future.
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Zheng, Tiancheng. "Current Status and Prospect of Aquatic-aerial Unmanned Vehicles." Highlights in Science, Engineering and Technology 46 (April 25, 2023): 125–33. http://dx.doi.org/10.54097/hset.v46i.7693.

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As people have higher and higher requirements for water-air detection and communication, the research of aquatic-aerial unmanned vehicles with high flexibility and maneuverability has become more and more in-depth. In this paper, the aquatic-aerial unmanned vehicles is classified according to their driving modes and constructions, and the aquatic-aerial unmanned vehicles is divided into multi-rotor vehicles, fixed-wing vehicles and bionic principle driven vehicles. This paper will give the readers a detailed and comprehensive introduction to the aquatic-aerial unmanned vehicles. In this paper, the aquatic-aerial unmanned vehicles is classified according to their driving modes and constructions, and the aquatic-aerial unmanned vehicles is divided into multi-rotor vehicles, fixed-wing vehicles and bionic principle driven vehicles, and the driving principle and operation mode of each type of aquatic-aerial unmanned vehicles are introduced. At the same time, the application of aquatic-aerial unmanned vehicles in different scenarios is analyzed, so that readers can have some reference when they need to buy or develop aquatic-aerial unmanned vehicles.
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Zak, Andrzej. "Controlling a team of unmanned underwater vehicles performing water region search tasks." Polish Maritime Research 20, no. 2 (2013): 82–89. http://dx.doi.org/10.2478/pomr-2013-0020.

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Abstract The article discusses a problem of performing a mission and controlling a team of unmanned underwater vehicles which perform a task of water region search. The team of underwater vehicles has been modelled as a multi-agent system, which made it possible to use the mechanism of multi-agent systems for controlling the team of cooperating underwater vehicles, with each vehicle being treated as an individual agent. Solutions to cooperation problems in multi-agent systems were proposed, including the presentation of the system structure and the data exchange method. Issues relating to cooperation actions in the team of underwater vehicles were described and solved using the theory of games and the vector quality index. The process of negotiations between the vehicles was modelled as the multiplayer cooperative game, which secured successful realisation of the task performed by the team of vehicles with respect to time, which represents the economic aspect of the task. The optimal solution was selected based on the vector quality index, which provided opportunities for minimisation of costs having the form of energy used by the entire team, and maximisation of profits in the form of time needed for completing the water region search task. The proposed method for dividing the action space in the water region search tasks performed by the team of underwater vehicles consists in assigning to each of cooperating underwater vehicles a task the realisation of which contributes to the realisation of the globally defined task. Finally, the results of water region search tasks performed by a team of cooperating underwater vehicles are presented and discussed taking into account possible vehicle failures happening during task realisation.
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Ke, Can, Huifang Chen, and Lei Xie. "Cross-Domain Fixed-Time Formation Control for an Air-Sea Heterogeneous Unmanned System with Disturbances." Journal of Marine Science and Engineering 11, no. 7 (2023): 1336. http://dx.doi.org/10.3390/jmse11071336.

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This paper studied the cross-domain fixed-time formation control problem of an air-sea heterogeneous unmanned system (ASHS). Taking advantage of individual characteristics of unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), and unmanned underwater vehicles (UUVs), the ASHS was introduced to accomplish the ocean stereoscopic observation mission, which was transformed into the formation control problem. Due to the difference of dimension and the communication constraint between UAV, USV, and UUV, a cross-domain communication protocol was proposed to achieve the state information flow between heterogeneous unmanned vehicles with different dimensions rather than construct the identical low-dimensional output. The high-dimensional unmanned vehicle can receive full state information from low-dimensional neighbors, while the low-dimensional follower can only receive partial state information from high-dimensional neighbors. Moreover, by means of fixed-time control theory and the backstepping control technique, the distributed fixed-time observer and controller were designed to solve the formation control problem for the ASHS with disturbances. Simulation results show that the ASHS can achieve fixed-time formation control with the proposed coordinated control protocols. Meanwhile, the convergence time of the proposed fixed-time formation control protocols is independent of the initial state.
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Lis, Dawid, Adam Januszko, and Tadeusz Dobrocinski. "A Flow Analysis Using a Water Tunnel of an Innovative Unmanned Aerial Vehicle." Applied Sciences 11, no. 13 (2021): 5772. http://dx.doi.org/10.3390/app11135772.

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The purpose of this article is to present and discuss the results of a non-standard unnamed aerial vehicle construction with a constant cross-section square-shaped avionic profile. Based on the model’s in-air observed maneuverability, the research of avionic construction behavior was carried out in a water tunnel. The results show the model’s specific lift capabilities in comparison to classical avionic constructions. The characteristic results of the lift coefficient showed that the unmanned aerial vehicle presents favorable features than classic avionic constructions. The model was created with the prospect of using it in the future for dual-use purposes, where unmanned aerial vehicles are currently experiencing very rapid development. When creating the prototype, the focus was on low production cost, as well as convenience in operation. The development of this type of breakthrough avionic solution, which shows extraordinary maneuverability, may contribute to increasing the popularity and, above all, the availability of unmanned aerial vehicles for the largest possible group of recipients because of high avionic properties in relation to the technical construction complexity.
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Niedzielski, Tomasz, Matylda Witek, and Waldemar Spallek. "Observing river stages using unmanned aerial vehicles." Hydrology and Earth System Sciences 20, no. 8 (2016): 3193–205. http://dx.doi.org/10.5194/hess-20-3193-2016.

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Abstract. We elaborated a new method for observing water surface areas and river stages using unmanned aerial vehicles (UAVs). It is based on processing multitemporal five orthophotomaps produced from the UAV-taken visible light images of nine sites of the river, acquired with a sufficient overlap in each part. Water surface areas are calculated in the first place, and subsequently expressed as fractions of total areas of water-covered terrain at a given site of the river recorded on five dates. The logarithms of the fractions are later calculated, producing five samples, each consisted of nine elements. In order to detect statistically significant increments of water surface areas between two orthophotomaps, we apply the asymptotic and bootstrapped versions of the Student's t test, preceded by other tests that aim to check model assumptions. The procedure is applied to five orthophotomaps covering nine sites of the Ścinawka river (south-western (SW) Poland). The data have been acquired during the experimental campaign, at which flight settings were kept unchanged over nearly 3 years (2012–2014). We have found that it is possible to detect transitions between water surface areas associated with all characteristic water levels (low, mean, intermediate and high stages). In addition, we infer that the identified transitions hold for characteristic river stages as well. In the experiment we detected all increments of water level: (1) from low stages to mean, intermediate and high stages; (2) from mean stages to intermediate and high stages; and (3) from intermediate stages to high stages. Potential applications of the elaborated method include verification of hydrodynamic models and the associated predictions of high flows as well as monitoring water levels of rivers in ungauged basins.
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Dissertations / Theses on the topic "Unmanned water vehicles"

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Powers, Craig W. "Monitoring the Transport of Microorganisms in Aquatic Environments Using Unmanned Surface Vehicles." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/81961.

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The majority of the Earths surface is covered with water, and the air-water interface (AWI) acts as the natural boundary between the atmosphere and the water. The AWI is an important ecological zone in natural aquatic habitats that governs transport of material and energy between bodies of water and the atmosphere. Little is known about temperature profiles and biological transport across the boundary layers at the air-water interface, and how wind interactions at the AWI affects them. New technologies such as sensors and unmanned surface vehicles (USV) need to be developed and used to address this knowledge gap. The goal of the research is to study population densities of the bacteria Pseudomonas syringae below, at and above the AWI using USV equipped with specialized sensors. The first specific objective was to map temperature profiles and resolve the boundary layer at the AWI using high resolution distributed temperature sensing (HR-DTS) on board an unmanned surface vehicle (USV). Our second research objective was to sample microbes from the water with a USV at multiple depths and locations. Our third research objective was to sample microbes from the atmosphere with a USV at the AWI. Our fourth research objective was to track and localize hazardous agents (tracer dyes) using a USV in aqueous environments.<br>Ph. D.
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Wigmore, Oliver Henry Wigmore. "Assessing Spatiotemporal Variability in Glacial Watershed Hydrology: Integrating Unmanned Aerial Vehicles and Field Hydrology, Cordillera Blanca, Peru." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1471854919.

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Reali, Andrea. "Potentialities of Unmanned Aerial Vehicles in Hydraulic Modelling : Drone remote sensing through photogrammetry for 1D flow numerical modelling." Thesis, KTH, Byggvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234306.

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In civil and environmental engineering numerous are the applications that require prior collection of data on the ground. When it comes to hydraulic modelling, valuable topographic and morphology features of the region are one of the most useful of them, yet often unavailable, expensive or difficult to obtain. In the last few years UAVs entered the scene of remote sensing tools used to deliver such information and their applications connected to various photo-analysis techniques have been tested in specific engineering fields, with promising results. The content of this thesis aims contribute to the growing literature on the topic, assessing the potentialities of UAV and SfM photogrammetry analysis in developing terrain elevation models to be used as input data for numerical flood modelling. This thesis covered all phases of the engineering process, from the survey to the implementation of a 1D hydraulic model based on the photogrammetry derived topography The area chosen for the study was the Limpopo river. The challenging environment of the Mozambican inland showed the great advantages of this technology, which allowed a precise and fast survey easily overcoming risks and difficulties. The test on the field was also useful to expose the current limits of the drone tool in its high susceptibility to weather conditions, wind and temperatures and the restricted battery capacity which did not allow flight longer than 20 minutes. The subsequent photogrammetry analysis showed a high degree of dependency on a number of ground control points and the need of laborious post-processing manipulations in order to obtain a reliable DEM and avoid the insurgence of dooming effects. It revealed, this way, the importance of understanding the drone and the photogrammetry software as a single instrument to deliver a quality DEM and consequently the importance of planning a survey photogrammetry-oriented by the adoption of specific precautions. Nevertheless, the DEM we produced presented a degree of spatial resolution comparable to the one high precision topography sources. Finally, considering four different topography sources (SRTM DEM 30 m, lidar DEM 1 m, drone DEM 0.6 m, total station&amp;RTK bathymetric cross sections o.5 m) the relationship between spatial accuracy and water depth estimation was tested through 1D, steady flow models on HECRAS. The performances of each model were expressed in terms of mean absolute error (MAE) in water depth estimations of the considered model compared to the one based on the bathymetric cross-sections. The result confirmed the potentialities of the drone for hydraulic engineering applications, with MAE differences between lidar, bathymetry and drone included within 1 m. The calibration of SRTM, Lidar and Drone based models to the bathymetry one demonstrated the relationship between geometry detail and roughness of the cross-sections, with a global improvement in the MAE, but more pronounced for the coarse geometry of SRTM.
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Wick, Andrew. "Computational simulation of an unmanned air vehicle impacting water." [Ames, Iowa : Iowa State University], 2006.

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Bacciaglia, Antonio. "Design and Development of a Propulsion System for a Water-Air Unmanned Vehicle." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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This work aims to contribute on the design of a Bimodal Unmanned Underwater and Air System (BUUAS). This research project will first present background informations of current hybrid UAV concepts with a focus on the different types of propulsion mechanisms used in air/water transition. Then a brief description of BUUAS will lead to requirements for the transition mechanism that this work aims to develop. After a section dedicated to the description of a short-impulse thruster layout, theoretical and experimental approaches are used to determine the amount of thrust generated. As second design step, a simplified UAV version is used to test the transition phase using the designed thruster. Finally, a section is dedicated to a design layout description with the thruster and an optimized propeller. Future work is proposed to continue in the development of this project, with a short description of folding wing and propulsion system integration concepts.
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Zink, Gregory. "Computational studies on the effect of water impact on an unmanned air vehicle." [Ames, Iowa : Iowa State University], 2008.

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Souanef, Toufik [Verfasser], and Walter [Akademischer Betreuer] Fichter. "Adaptive guidance and control of small unmanned aerial vehicles / Toufik Souanef ; Betreuer: Walter Fichter." Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2019. http://d-nb.info/120531587X/34.

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Hajosy, Michael F. "Six degree of freedom vehicle controller design for the operation of an unmanned underwater vehicle in a shallow water environment." Thesis, Monterey, California. Naval Postgraduate School, 1994. http://hdl.handle.net/10945/26251.

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Closed loop control of an unmanned underwater vehicle (UUV) in the dynamically difficult environment of shallow water requires explicit consideration of the highly coupled nature of the governing non-linear equations of motion. This coupling between an UUV's six degrees of freedom (6 DOF) is particularly important when attempting complex maneuvers such as coordinated turns (e.g. simultaneous dive and heading change) or vehicle hovering in such an environment. Given the parameter and modelling uncertainties endemic to these equations of motion, then a robust 6 DOF sliding controller employing six-element vector sliding surfaces provides a framework in which satisfactory UUV control can be achieved in shallow water. The vehicle equations of motion are developed and cast in a form that is amenable to non-linear sliding control design. A complete 6 DOF sliding controller with vector sliding surfaces is then formulated via a Lyapunov-like analysis. The sliding controller is then modified via a weighted least-squares approach to work with a particular UUV which has only 4 DOF control authority available. The modified controller is shown to work well for a variety of commanded UUV maneuvers in the presence of significant environmental disturbances and vehicle hydrodynamic parameter uncertainties via numerical simulation. Use of the signals generated by the controller are shown to be of utility in vehicle buoyancy control.
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Hårding, Vidar. "Control and Autonomy of a Water Quality Measuring Unmanned Surface Vehicle (USV) : Catfish project - Control and Autonomy." Thesis, Högskolan i Halmstad, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-45118.

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This report is about the implementation of autonomy and control on a water quality measuring unmanned surface vehicle. The project was termed Catfish and involved five teams focusing on different aspects of the initial goal to create an autonomous three-part system; a surface drone, a submerged drone and flying drone. In this iteration of the Catfish project the focus laid on creating the surface drone and submerged drone as the Catfish project will improve over generations of thesis projects. The author of the report was in the Control and Autonomy team and had been tasked with giving the surface drone the autonomy needed to make this project viable. Existing advances made in autonomy was adopted and tested. With the help of estimation algorithms, and sensor fusion, a flight controller navigates the surface drone between a set of GPS waypoints. It is also able to counteract the external forces wind, waves and stream to keep its position. To reach this autonomy four test phases were conducted on a pre-prototype with progressively increased difficult autonomy starting with manual control and ending in advanced autonomy. When the advanced missions were executed the speed and accuracy of two different thruster configurations were examined and the best performing out of the two was implemented on the final prototype the other teams had designed. The project ended with a fully autonomous system that was able to execute all the navigational maneuvers required to operate autonomous water quality measuring missions.<br>Den här rapporten handlar om implementationen av autonomi och kontroll på en vattenkvalitetsmätande vattenburen drönare. Projektet fick namnet Catfish och blev indelat i fem teams som fokuserade på olika aspekter av ett 3-delsystem; en vattenburen, en undervattens och en flygande drönare. I denna iteration av Catfish projektet fokuserade medlemmarna på att utveckla den vattenburna och undervattens drönaren då projektet kommer fortsätta utvecklas under kommande generationer av Catfish projektrapporter. Författaren av den här rapporten ingick i ett team som hette "Control and Autonomy" och hade i uppgift att installera en autonom intelligens till den vattenburna drönaren för att göra Catfish prototypen användbar. Befintliga framsteg inom forskningsområdet blev granskade och testade. Genom att använda uppskattningsalgoritmer och "sensor fusion" lyckades en "flight controller" navigera drönaren mellan GPS waypoints och även behålla sin position genom att motverka krafterna från vind, vågor och strömmar. För att uppnå denna nivå av autonomi utför en förprototyp fyra test faser av ökad autonomisk svårhetsgrad. Under uppdraget blev hastigheten och precisionen av två olika motoruppsättningar undersöka och den som presterade bäst blev implementerad på den slutgiltig designen som de andra teamen hade utvecklat. Projektet avslutades med att ett fullt autonomt system blev utvecklat som var kapabel till att utföra alla navigationsmanövrar nödvändiga för att genomföra autonoma vattenkvalitetsmätningsuppdrag.
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Larson, Matthew David. "Monitoring Multi-Depth Suspended Sediment Loads in Lake Erie's Maumee River using Landsat 8 and Unmanned Aerial Vehicle (UAV) Imagery." Bowling Green State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1496484122311721.

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Books on the topic "Unmanned water vehicles"

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Hajosy, Michael F. Six degree of freedom vehicle controller design for the operation of an unmanned underwater vehicle in a shallow water environment. Available from National Technical Information Service, 1994.

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Book chapters on the topic "Unmanned water vehicles"

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Efimov, Denis, Alexandr Shablov, and Elena Shavalieva. "Environmental Monitoring in the “Land–Water” Contact Zone of Water Bodies with the Help of Small Unmanned Aerial Vehicles." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3788-0_36.

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Mulcahy, Eoghan, Pepijn Van de Ven, and John Nelson. "Aerial Object Detection for Water-Based Search & Rescue." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_27.

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AbstractResponding to a water rescue situation is challenging. First responders need access to data as quickly as possible to increase the likelihood of a successful rescue. Using aerial imagery systems is especially useful in a search and rescue scenario because it provides a higher dimensional view of the search environment. Unmanned aerial vehicles can be easily used to acquire aerial image data. During water-based search and rescue scenarios, first responders sometimes deploy an inflatable marker called a rescue danbuoy. The danbuoy is fitted with a small conical sack known as a drogue, this ensures that the marker is not blown off course by the wind and instead follows the flow of the body of water. Tracking the danbuoy as it moves is of utmost importance in a water rescue. We present a new data-set “VisBuoy” with imagery containing instances of danbuoy markers and boats in real-world water-based settings. We also show how using various deep learning-based computer vision techniques, we can autonomously detect danbuoy instances in aerial imagery. We compare the performance of four state-of-the-art object detectors Faster RCNN Retinanet, Efficientdet and YOLOv5 on the “VisBuoy” data-set, to find the best detector for this task. We then propose a best model with a precision score of 74% which can be used in search and rescue operations to detect inflatable danbuoy markers in water-based settings.
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Chottapadhyay, Surajit, Bhaskar Roy, Mrinmoy Nayek, and Suvajit Ghosh. "Unmanned surface vehicle for remote water top pollution monitoring." In Intelligent Computation and Analytics on Sustainable Energy and Environment. CRC Press, 2024. http://dx.doi.org/10.1201/9781003540199-73.

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Peko, Marina, Dominika Crnjac Milić, and Ivan Vidaković. "Unmanned Aerial Vehicle Mapping of River Flow for Water Resources Management." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51494-4_14.

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Lkima, Kaoutar, Francisco Pedrero Salcedo, Jamal Mabrouki, and Faissal Aziz. "Precision Agriculture: Assessing Water Status in Plants Using Unmanned Aerial Vehicle." In IoT and Smart Devices for Sustainable Environment. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90083-0_11.

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Huo, Yujia, and Jinchao Xiao. "Water Surface Departure Control of Aquatic-Aerial Amphibious Tiltrotors Unmanned Underwater Vehicle." In Springer Aerospace Technology. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3240-4_58.

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Zhao, Guoteng, Hongliang Zhang, and Yongqiang Zhang. "Joint Extraction Method for Underwater Vehicle Navigation in Long-Distance Water-Conveyance Tunnels." In Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021). Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9492-9_58.

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Cao, Han, Lei Cheng, Bei Wu, and GuoQiang Gao. "Research on Unmanned Aerial Vehicle Water Combined Quality Detection and Early-Warning System." In Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019). Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0474-7_104.

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Ganesan, Surendar, Balasubramanian Esakki, Jae Sung Choi, S. Sridevi, C. Sarath Kumar, and P. Vikram. "Development of Unmanned Surface Vehicle for In-Situ Water Quality Measurement Using IoT." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-6591-1_9.

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Jiguang, Song, Zhang Jingjing, Lin Yang, et al. "Research on Integrated Measurement System of Unmanned Surface Vehicle for Above-Water and Underwater Nearshore Topography." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3560-3_19.

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Conference papers on the topic "Unmanned water vehicles"

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Wu, Xiaobo, Shun Li, Linhan Qiao, Youmin Zhang, Hamza Benzerrouk, and Hakim Guiddir. "An Autonomous Water-Dropping Method with High Precision using Unmanned Aerial Firefighting Vehicles." In 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2024. http://dx.doi.org/10.1109/aim55361.2024.10637124.

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Timchenko, Victor, Volodymyr Horbov, Inna Tymchenko, and Mykola Hrubiy. "Modeling of Robust-Optimal Control of a Quadcopter for Environmental Monitoring of Water Areas." In 2024 IEEE 7th International Conference on Actual Problems of Unmanned Aerial Vehicles Development (APUAVD). IEEE, 2024. https://doi.org/10.1109/apuavd64488.2024.10765902.

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Crane, Jason, and Imraan Faruque. "Testing and Characterization of Hybrid Unmanned Aerial/Underwater Vehicle at the air-water interface." In Vertical Flight Society 73rd Annual Forum & Technology Display. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-12205.

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Hybrid Unmanned Aerial/Underwater Vehicles (HUA/UV's) have the challenge of robustly operating within and transitioning between two vastly different environments. To meet this challenge, an amphibious quadrotor was constructed and its transition performance quantified using motion capture under manual control. The approach is novel in that it performs transition without active buoyancy control or increasing the number of rotors. The loads across air-water transition were quantified using a controlled single motor-propeller pod and a six-axis load cell. Experimental results were compared against blade element momentum theory (BEMT). The BEMT model correlated well with experimental thrust data when the propeller was in 'fully in air' or 'fully in water' environments. A simplifying dimensional analysis of the model predicted first order relations between electronic speed controller measurable parameter of revolutions per minute against the variation in fluid density. Derived parameters of effective density, entry offset depth, and critical depth were introduced and discussed. The first order relations showed agreement with experimentally derived data, suggesting that "effective density" may have a role in enabling attitude regulation across the air-water interface.
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Qu, Zhenrong, Meng Cheng, Muzhou Liu, and Yun Cheng. "Autonomous Surface Vehicle for Unmanned Inspection and Cruising on Water." In 2024 14th International Conference on Information Technology in Medicine and Education (ITME). IEEE, 2024. https://doi.org/10.1109/itme63426.2024.00181.

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Zhao, Shangfei, Sifan Wu, Sihuan Wu, Maosen Shao, and Jihe Wang. "Numerical Analysis of Water-Exit Characteristics of Tandem Twin-Rotor Aerial-Aquatic Vehicle." In 2024 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2024. https://doi.org/10.1109/icus61736.2024.10839903.

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T, Sai Shiva Tej, N. Vishnu, Joyita Pal, A. Jaba Deva Krupa, R. Monika, and Samiappan Dhanalakshmi. "Design and Testing of Unmanned Surface Vehicle with Water Sampling Mechanism for measuring Water Quality." In 2025 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS). IEEE, 2025. https://doi.org/10.1109/sceecs64059.2025.10940979.

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Pathak, Abhinav, Mohammed Haroon, Manogna Raju, et al. "A Cost Effective Sustainable Autonomous Unmanned Surface Vehicle for Automated Water Surface Cleaning." In 2024 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom). IEEE, 2024. https://doi.org/10.1109/mosicom63082.2024.10881406.

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Bratchenko, Lev S., Ekaterina A. Rodionova, Tatiana G. Shchetinina, Georgii Yu Kolev, and Vyacheslav G. Rybin. "Embedded Water Analyzer for Unmanned Surface Vehicles." In 2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus). IEEE, 2022. http://dx.doi.org/10.1109/elconrus54750.2022.9755563.

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Machavarapu, Arnav, Aadet Samant, and Zubin Chhabra. "Using Unmanned Aerial Vehicles to Test Water Quality." In 2022 IEEE Integrated STEM Education Conference (ISEC). IEEE, 2022. http://dx.doi.org/10.1109/isec54952.2022.10025149.

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Guo, Wenxuan, Yusen Tang, and Jianjun Wang. "Development of Unmanned Surface Vehicles System for Water Quality Inspection." In International Symposium on Water, Ecology and Environment. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0011887000003536.

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Reports on the topic "Unmanned water vehicles"

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Timothy A. Berkoff, Paul L. Kebabian, Robert A. McClatchy, Charles E. Kolb, and Andrew Freedman. An optical water vapor sensor for unmanned aerial vehicles. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/762245.

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