Relevant bibliographies by topics / Autonomous underwater vehicles (AUV)

Contents

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

Academic literature on the topic 'Autonomous underwater vehicles (AUV)'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 June 2025

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Journal articles on the topic "Autonomous underwater vehicles (AUV)"

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He, Bin, and Da Peng Jiang. "Cooperative Control of Multiple Autonomous Underwater Vehicles." Applied Mechanics and Materials 365-366 (August 2013): 905–12. http://dx.doi.org/10.4028/www.scientific.net/amm.365-366.905.

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The focus of research of AUV is gradually moving towards multiple autonomous underwater vehicles (MAUV) in recent years. This paper describes an investigation into cooperative control of MAUV. Firstly, a distributed control architecture (MOOS) was applied to MAUV system. According to MOOS, functionalities of AUV were organized in a modular manner and a unified information exchange mechanism was used to ensure an efficient communication between different modules. Secondly, a behavior based control strategy was proposed to enable the AUV to cooperate with each other intelligently and adaptively. Interval programming algorithm was applied to make sure that behaviors of each AUV can be coordinated in a timely and optimal manner. Stability of behavior-based control of AUV was analyzed. Finally, a distributed simulation environment was established and a series of simulation were carried out to verify the feasibility of methods mentioned above.
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Huang, Ming Long, Yu Hong Liu, Hong Wei Zhang, and Bao Sheng Duan. "Influence of the Fins on the Static Stability of Autonomous Underwater Vehicle." Advanced Materials Research 694-697 (May 2013): 263–66. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.263.

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Fins, which are mounted at the rear of the underwater vehicles, have the action of stabilizing. X-fin and Cross-fin are two basic types of fins used in modern underwater vehicle. In the present paper, focused on the deep-sea autonomous underwater vehicle (AUV) developed by Tianjin University, influence of types and mounting positions of fins on the static stability (STS) of the AUV is investigated. Results show that AUV with Cross-fin has better STS and the mounting position of fins is the key influence on STS of AUV.
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Iwakami, Hiroshi, Tamaki Ura, Kenichi Asakawa, et al. "Approaching Whales by Autonomous Underwater Vehicle." Marine Technology Society Journal 36, no. 1 (2002): 80–85. http://dx.doi.org/10.4031/002533202787914232.

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There are few studies on the ecology of whales in underwater except for small whales (Baird, R., 1996, Otani, S., 1998). It is hoped that through the use of Autonomous Underwater Vehicles (AUVs) new knowledge about whales can be gained. The whale makes sounds, and especially the humpback whale (Megaptera novaeangliae) makes a specific sound called “a song”. We started our project to develop the technology for AUVs to follow and observe humpback whales by analyzing their songs and locating them underwater.A small size passive SONAR was designed, fabricated, and fitted on the AUV AQUA EXPLORER 2000. An observation experiment was conducted in March 2001 off the Kerama Islands, Okinawa. Prior to our studies, there were no examples of AUV observations on whales anywhere in the world. This experimental observation was conducted as a joint project of the Underwater Technology Research Center at the Institute of Industrial Science in the University of Tokyo, KDDI Co. Research Institute, and the Okinawa EXPO Aquarium. The AUV succeeded in detecting a humpback whale underwater and approaching it within 50m in this experiment.
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Mashoshin, A. I., and I. V. Pashkevich. "Application of Underwater Passive Landmarks for Autonomous Unmanned Underwater Vehicles Navigation." Giroskopiya i Navigatsiya 28, no. 3 (2020): 95–108. http://dx.doi.org/10.17285/0869-7035.0042.

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The article describes the design of passive underwater landmarks (PUL) and their use for navigation of autonomous unmanned underwater vehicles (AUV). The procedure of AUV observation using PUL is considered. It is shown that with proper maneuvering of the AUV during observation, the accuracy of determining its coordinates is limited only by the accuracy of the PUL positioning during installation. This accuracy also affects the distance between neighboring PULs installed along the AUV’s route. If the AUV is equipped with a high-precision autonomous navigation system, the PULs can be installed at the intervals of several hundred kilometers.
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Peng, Yan, Wei Qing Wu, Mei Liu, Shao Rong Xie, and Jun Luo. "Three Dimensional Path Planning of Autonomous Underwater Vehicles." Applied Mechanics and Materials 328 (June 2013): 128–32. http://dx.doi.org/10.4028/www.scientific.net/amm.328.128.

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The path planning relates to the safe movement and navigation of the Autonomous Underwater Vehicles (AUV). This paper discusses the way of real-time path planning for autonomous underwater vehicle based on tracking control lyapunov function. The simulation conducted on H300 illustrates the effectiveness of proposed method.
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Orłowski, Mateusz. "Directions of Development of the Autonomous Unmanned Underwater Vehicles. A Review." Maritime Technical Journal 224, no. 1 (2022): 68–79. http://dx.doi.org/10.2478/sjpna-2022-0005.

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Abstract In the paper review of unmanned underwater vehicle (AUV) is presented. The description of main systems is depicted with focus on autonomous single vehicle as well as a swarm. As a consequence of development of AUV technology, research centers are focused on issues related to increasing the degree of their autonomy. Nowadays, mostly navigation and communication as well as high-efficient propeller systems are being developed. There are problems linking this issues. Their solutions includes development of new control laws containing algorithms to prevent collisions - for unmanned vehicles with elements of the underwater environment and for several underwater vehicles cooperating with each other in a swarm.
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Song, Fang Xi, Lian Hong Zhang, Zhi Liang Wu, and Le Ping Wang. "On Resistance Calculation for Autonomous Underwater Vehicles." Advanced Materials Research 189-193 (February 2011): 1745–48. http://dx.doi.org/10.4028/www.scientific.net/amr.189-193.1745.

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Investigation on the turbulence model for resistance calculation for autonomous underwater vehicles (AUV) with the typical Myring shape is presented in this paper using computational fluid dynamics (CFD) method. Resistance calculations of the 3D viscous flow over an AUV model are made by solving RANS equations with different viscous models. Comparison with experiments indicates that the SST k-ω two-equation viscous model is the most appropriate model for the resistance prediction.
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Curtin, Thomas B., Denise M. Crimmins, Joseph Curcio, Michael Benjamin, and Christopher Roper. "Autonomous Underwater Vehicles: Trends and Transformations." Marine Technology Society Journal 39, no. 3 (2005): 65–75. http://dx.doi.org/10.4031/002533205787442521.

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Three examples of inter-agency cooperation utilizing current generation, individual Autonomous Underwater Vehicles (AUVs) are described consistent with recent recommendations of the U.S. Commission on Ocean Policy. The first steps in transforming individual AUVs into adaptive, networked systems are underway. To realize an affordable and deployable system, a network-class AUV must be designed with cost–size constraints not necessarily applied in developing solo AUVs. Vehicle types are suggested based on function and ocean operating regime: surface layer, interior and bottom layer. Implications for platform, navigation and control subsystems are explored and practical formulations for autonomy and intelligence are postulated for comparing performance and judging behavior. Laws and conventions governing intelligent maritime navigation are reviewed and an autonomous controller with conventional collision avoidance behavior is described. Network-class cost constraints can be achieved through economies of scale. Productivity and efficiency in AUV manufacturing will increase if constructive competition is maintained. Constructive strategies include interface and operating standards. Professional societies and industry trade groups have a leadership role to play in establishing public, open standards.
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Tian, Hai, Bo Hu, Can Yu Liu, Guo Chao Xie, and Hui Min Luo. "An Autonomous Underwater Vehicle for Competition." Applied Mechanics and Materials 380-384 (August 2013): 595–600. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.595.

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The research of this paper was derived from the small autonomous underwater vehicle (AUV)Raider well performed in the 15th International Underwater Vehicle Competition (IAUVC),San Diego. In order to improve the performance of underwater vehicle, the control system of performance motion played an important role on autonomous underwater vehicles stable motion, and the whole control system of AUV is the main point. Firstly, based on the motion equations of six degrees of freedom, the paper simplified the dynamical model reasonably in allusion; Due to the speed of Raider to find the target was very low, this paper considered the speed was approximately zero and only considered the vertical motion. Therefore, this paper established the vertical hydrodynamic model of Raider, obtaining the transfer equation of vertical motion. Through the experiment and Matlab/Simulink simulation, this paper got the actual depth of the step response curve and simulation curve, and verified the validity of the vertical hydrodynamic model and the correlation coefficient.
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Dong, N., N. H. Nam, K. M. Tuan, and N. V. Hien. "A Novel Approach to Model and Implement Planar Trajectory-Tracking Controllers for AUVs/ASVs." Advanced Materials Research 1016 (August 2014): 686–93. http://dx.doi.org/10.4028/www.scientific.net/amr.1016.686.

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Following the Model-Driven Architecture (MDA) approach, we have modeled and implemented a planar trajectory planning and tracking controller designed for Autonomous Underwater Vehicles or Autonomous Surface Vessels (AUVs/ASVs). Our approach covers steps such as the requirement, analysis, design and implementation to model and realize a controller for most standard AUV/ASV platforms. It also allows the designed elements to be customizable and re-usable in the development of new applications of AUV/ASV controllers. The paper describes step-by-step the development lifecycle of planar trajectory-tracking controller for AUVs/ASVs. Based on this approach, a horizontal trajectory-tracking controller of a miniature autonomous submerged vehicle is completely developed and successfully taken on trial trip.
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Dissertations / Theses on the topic "Autonomous underwater vehicles (AUV)"

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Savage, Elizabeth. "Cooperative control of autonomous underwater vehicles." [College Station, Tex. : Texas A&M University, 2003. http://hdl.handle.net/1969.1/236.

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Thesis (MS)--Texas A&M University, 2003.
"Major Subject: Aerospace Engineering" Title from author supplied metadata (automated record created on Jul. 18, 2005.) Vita. Abstract. Includes bibliographical references.
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Duelley, Richard Skyler. "Autonomous Underwater Vehicle Propulsion Design." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/34789.

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The goal of this design process was to achieve the most efficient propulsive system for the candidate autonomous underwater vehicle (AUV) as possible. A mathematical approach, using fundamental motor equations and derived quantities, was used to characterize and select an efficient brushless electric motor for the propulsion system. A program developed at MIT, Massachusetts Institute of Technology, called OpenProp versions 1 and 2.3 was utilized to design a custom propeller that maximizes the efficiency of the system. A brushless electric motor was selected for the candidate AUV based on a survey of available off the shelf motors and a mathematical characterization process. In parallel with the motor characterization a propeller design was optimized using OpenProp v1 to perform a parametric analysis. OpenProp v2.3 was then used to design a unique propeller for the selected motor. The propeller design resulted in a final propeller with an efficiency of 79.93%. The motor characterization process resulted in two candidate motors being selected, the NeuMotor 1925-3Y and NeuMotor 1521-10.5Y, for in house testing and evaluation. A total propulsive system efficiency of between 44% and 46% was achieved depending on which motor is selected for the final design.
Master of Science
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Schultz, James Allen. "Autonomous Underwater Vehicle (AUV) Propulsion System Analysis and Optimization." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/33237.

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One of the largest design considerations for autonomous underwater vehicles (AUVâ s) that have specific mission scenarios is the propulsive efficiency. The propulsive efficiency affects the amount of power storage required to achieve a specific mission. As the efficiency increases the volume of energy being stored decreases. The decrease in volume allows for a smaller vehicle, which results in a vehicle that requires less thrust to attain a specific speed. The process of selecting an efficient propulsive system becomes an iterative process between motor, propeller, and battery storage. Optimized propulsion systems for mission specific AUVâ s require costly motor and propeller fabrication which may not be available to the designer. Recent advancements in commercially available electric motors and propellers allows for cost effective propulsion systems. The design space selection of motors and propellers has recently increased due to component demand of remote control airplane and boats. The issue with such systems is how to predict small propeller and small motor performance interactions since remote control motor and propeller designers usually donâ t provide enough information about the performance of their product. The mission statement is to design a propeller and motor combination that will allow an autonomous underwater vehicle to travel large distances while maintaining good efficiency. The vehicle will require 12 N of thrust with a forward velocity of 2 m/s. The propeller needs to be larger than 2.5â due to inflow velocity interaction and smaller than 4â due to loss of thrust when in surface transit due to suction.
Master of Science
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Lee, Chin Siong. "NPS AUV workbench: collaborative environment for autonomous underwater vehicles (AUV) mission planning and 3D visualization." Thesis, Monterey, California. Naval Postgraduate School, 2004. http://hdl.handle.net/10945/1658.

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Approved for public release, distribution is unlimited
alities. The extensible Markup Language (XML) is used for data storage and message exchange, Extensible 3D (X3D) Graphics for visualization and XML Schema-based Binary Compression (XSBC) for data compression. The AUV Workbench provides an intuitive cross-platform-capable tool with extensibility to provide for future enhancements such as agent-based control, asynchronous reporting and communication, loss-free message compression and built-in support for mission data archiving. This thesis also investigates the Jabber instant messaging protocol, showing its suitability for text and file messaging in a tactical environment. Exemplars show that the XML backbone of this open-source technology can be leveraged to enable both human and agent messaging with improvements over current systems. Integrated Jabber instant messaging support makes the NPS AUV Workbench the first custom application supporting XML Tactical Chat (XTC). Results demonstrate that the AUV Workbench provides a capable testbed for diverse AUV technologies, assisting in the development of traditional single-vehicle operations and agent-based multiple-vehicle methodologies. The flexible design of the Workbench further encourages integration of new extensions to serve operational needs. Exemplars demonstrate how in-mission and post-mission event monitoring by human operators can be achieved via simple web page, standard clients or custom instant messaging client. Finally, the AUV Workbench's potential as a tool in the development of multiple-AUV tactics and doctrine is discussed.
Civilian, Singapore Defence Science and Technology Agency
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Galceran, Yebenes Enric. "Coverage path planning for autonomous underwater vehicles." Doctoral thesis, Universitat de Girona, 2014. http://hdl.handle.net/10803/133832.

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This thesis proposes new methods to find collision-free paths allowing an AUV to cover an area of the ocean floor with its sensors, which is known as coverage path planning. First, we propose a coverage path planning method to plan 2D, safe-altitude surveys which provides a principled way to account for obstacles in AUV survey planning. Its main advantage is that it minimizes redundant coverage when the vehicle navigates at constant depth, leading to shorter paths. Second, we provide a method to account for the uncertainty in the vehicle position estimates when planning 2D surveys. The method minimizes the uncertainty induced by the path and leads to better maps of the ocean floor as a result. Third, we provide a coverage path planning method suitable for inspecting areas of the ocean floor including 3D structures. The resulting coverage paths enable applications requiring close proximity and allow viewpoints for full 3D sensing of the structure. Moreover, by contrast to most existing methods, we provide two techniques to adapt the planned path in realtime using sensor information acquired on-line during the mission, rather than only planning the path off-line and relying on the unrealistic assumption of an idealized path execution by the AUV. The proposed methods are validated in simulation and in experiments with a real-world AUV
Aquesta tesi proposa nous mètodes per generar camins lliures de col·lisions per a vehicles submarins autònoms que permeten cobrir una àrea del fons de l'oceà usant els sensors del vehicle, tasca coneguda com a planificació de camins de cobertura. Primer, proposem un mètode de planificació de camins de cobertura per a planificar missions en un espai 2D a una altitud segura, proporcionant una manera fonamentada de tenir en compte obstacles en la planificació de missions per a vehicles submarins autònoms. L'avantatge principal del mètode proposat és que minimitza la cobertura redundant sorgida quan el vehicle navega a profunditat constant, obtenint camins més curts com a resultat. Segon, presentem un mètode per tenir en compte la incertesa de les estimacions de posició del vehicle durant la planificació de missions 2D. Aquest mètode minimitza la incertesa induïda pel camí i genera mapes més acurats del fons oceànic com a resultat. Tercer, presentem un mètode de planificació de camins de cobertura adequat per inspeccionar àrees del fons oceànic amb estructures 3D. Els camins de cobertura resultants permeten tasques que requereixen proximitat al fons i permeten una completa percepció 3D de les estructures d'interès. A més, a diferència de la majoria dels mètodes existents, proporcionem dues tècniques per adaptar els camins planificats en temps real utilitzant informació sensorial adquirida durant la missió, per contra de planificar només abans de l'execució de la missió i confiar en la poc realista assumpció d'una execució idealitzada del camí per part del vehicle. Els mètodes proposats han estat validats en simulació i en experiments amb un vehicle submarí autònom real
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Geisbert, Jesse Stuart. "Hydrodynamic Modeling for Autonomous Underwater Vehicles Using Computational and Semi-Empirical Methods." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/33195.

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Buoyancy driven underwater gliders, which locomote by modulating their buoyancy and their attitude with moving mass actuators and inflatable bladders, are proving their worth as efficient long-distance, long-duration ocean sampling platforms. Gliders have the capability to travel thousands of kilometers without a need to stop or recharge. There is a need for the development of methods for hydrodynamic modeling. This thesis aims to determine the hydrodynamic parameters for the governing equations of motion for three autonomous underwater vehicles. This approach is two fold, using data obtained from computational flight tests and using a semi-empirical approach. The three vehicles which this thesis focuses on are two gliders (Slocum and XRay/Liberdade), and a third vehicle, the Virginia Tech Miniature autonomous underwater vehicle.
Master of Science
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Pawar, Suraj Arun. "Hydrodynamic Design of Highly Loaded Torque-neutral Ducted Propulsor for Autonomous Underwater Vehicles." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/86888.

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The design method for marine propulsor (propeller/stator) is presented for an autonomous underwater vehicle (AUV) that operates at a very high loading condition. The design method is applied to Virginia Tech Dragon AUV. It is based on the parametric geometry definition for the propulsor, use of high-fidelity CFD RANSE solver with the transition model, construction of the surrogate model, and multi-objective genetic optimization algorithm. The CFD model is validated using the paint pattern visualization on the surface of the propeller for an open propeller at model scale. The CFD model is then applied to study hydrodynamics of ducted propellers such as forces and moments, tip leakage vortex, leading-edge flow separation, and counter-rotating vortices formed at the duct trailing edge. The effect of variation of thickness for stator blades and different approaches for modeling the postswirl stator is presented. The field trials for Dragon AUV shows that there is a good correlation between expected and achieved design speed under tow condition with the designed base propulsor. The marine propulsor design is further improved with an objective to maximize the propulsive efficiency and minimize the rolling of AUV. The stator is found to eliminate the swirl component of velocity present in the wake of the propeller to the maximum extent. The propulsor designed using this method (surrogate-based optimization) is demonstrated to have an improved torque balance characteristic with a slight improvement in efficiency than the base propulsor design.
Master of Science
The propulsion system is the critical design element for an AUV, especially if it is towing a large payload. The propulsor for towing AUVs has to provide a very large thrust and hence the propulsor is highly loaded. The propeller has to rotate at very high speed to produce the required thrust and is likely to cavitate at this high speed. Also at this high loading condition, the maximum ideal efficiency of the propulsor is very less. Another challenge is the induced torque from the propeller on AUV that can cause the rolling of an AUV which is undesirable. This problem can be addressed by installing the stator behind the propeller that will produce torque in the opposite direction of the propeller torque. In this work, we present a design methodology for marine propulsor (propeller/stator) that can be used in AUV towing a large payload. The propulsor designed using this method has improved torque characteristics and has the efficiency close to 80 % of the ideal efficiency of ducted propeller at that loading condition.
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Vallicrosa, Massaguer Guillem. "Online acoustic localization methods for autonomous underwater vehicles." Doctoral thesis, Universitat de Girona, 2018. http://hdl.handle.net/10803/664427.

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Autonomous Underwater Vehicles (AUVs) true autonomy capabilities in complex unknown environments, have not yet been fully achieved because of the lack of online algorithms that can solve fundamental problems such as localization, mapping and path-planning on-board the AUV. This thesis presents the development of two online localization algorithms for AUVs. The first algorithm is based on a Sum of Gaussian filter for online range-only localization of a Docking Station for battery recharging and data uploading. This algorithm is tested in a wider project where it is combined with other algorithms to produce a complete homing and docking strategy. The second algorithm proposes an online SLAM framework for continuous occupancy mapping named H-SLAM. It uses a Rao-Blackwellized Particle Filter where each particle carries a Hilbert Map representation of the environment. This algorithm is tested on two real-world datasets offering a significantly better reconstruction of the environment than using DR navigation.
El verdader potencial d’autonomia dels Vehicles Submarins Autònoms (AUVs) en entorns complexos i desconeguts, encara no ha estat completament assolit degut a la falta d’algoritmes que puguin resoldre problemes com la localització i el mapeig en el propi vehicle. Aquesta tesi presenta el desenvolupament de dos algoritmes de localització online per AUVs. El primer algorisme està basat en un filtre de Suma de Gaussians per localitzar una Estació d’Acoblament. Ha estat provat dins un projecte on s’ha combinat amb altres algoritmes, per obtenir una estratègia de localització i acoblament. El segon algorisme proposa un mètode de SLAM que construeix de mapes continus d’ocupació anomenat H-SLAM. Utilitza un Filtre de Partı́cules Rao- Blackwellizat on cada partı́cula té un Mapa de Hilbert. Ha estat provat amb dades reals produint una millora significativa en la reconstrucció de l’entorn respecte la reconstrucció obtinguda utilitzant la navegació DR.
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Woodford, Thomas James. "Propulsion optimization for ABE, an Autonomous Underwater Vehicle (AUV)." Thesis, Springfield, Virginia: Available from National Technical Information Service, 1991. http://hdl.handle.net/10945/28475.

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Hernández, Vega Juan David. "Online path planning for autonomous underwater vehicles under motion constraints." Doctoral thesis, Universitat de Girona, 2017. http://hdl.handle.net/10803/457592.

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The most common applications of autonomous underwater vehicles (AUVs) include imaging and inspecting different kinds of structures on the sea. Most of these applications require a priori information of the area or structure to be inspected, either to navigate at a safe and conservative altitude or to 2/2 pre-calculate a survey path. However, there are other applications where it's unlikely that such information is available (e.g., exploring confined natural environments like underwater caves). In this respect, this thesis presents an approach that endows an AUV with the capabilities to move through unexplored environments. To do so, it proposes a computational framework for planning feasible and safe paths online. This approach allows the vehicle to incrementally build a map of the surroundings, while simultaneously (re)plan a feasible path to a specified goal. The framework takes into account motion constraints in planning feasible paths, i.e., those that meet the vehicle's motion capabilities
Les aplicacions més comunes dels vehicles autònoms submarins o AUVs són l’obtenció d'imatges i inspecció de diferents tipus d'estructures, com per exemple, cascos de vaixells o estructures naturals en el fons marí. Moltes d'aquestes aplicacions requereixen informació a priori de l'àrea o estructura que es vol inspeccionar. No obstant, existeixen aplicacions similars o noves, com l'exploració d'entorns naturals confinats (e.g., coves submarines), on aquesta informació pot ser inexistent. En aquest sentit, aquesta tesi presenta una alternativa per dotar un AUV amb l'habilitat de moure’s a través d'entorns no explorats. Per aconseguir aquesta fita, aquesta tesi proposa un mètode per calcular en temps real camins factibles i segurs. El mètode proposat permet al vehicle construir de forma incremental un mapa de l'entorn, i al mateix temps replanificar un camí factible cap a l'objectiu establert. El mètode proposat te en compte les restriccions de moviment del vehicle per planificar camins que siguin factibles
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Books on the topic "Autonomous underwater vehicles (AUV)"

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McGhee, Robert B. Technology survey and preliminary design for small AUV navigation system. Naval Postgraduate School, 1992.

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Woodford, Thomas James. Propulsion optimization for ABE, an Autonomous Underwater Vehicle (AUV). Available from the National Technical Information Service, 1991.

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Davis, Michael H. Real time Adaptive Control of an Autonomous Underwater Vehicle (AUV). Naval Postgraduate School, 1989.

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England) IEEE/OES Autonomous Underwater Vehicles (2012 Southampton. 2012 IEEE/OES Autonomous Underwater Vehicles (AUV 2012): Southampton, United Kingdom, 24-27 September 2012. IEEE, 2012.

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Oceanic Engineering Society (U.S.), ed. Proceedings of the 2002 Workshop on Autonomous Underwater Vehicles: AUV '02 : June 20-21, 2002, San Antonio, Texas. IEEE, 2002.

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Young, Forrest C. Phoenix autonomous underwater vehicle (AUV): Networked control of multiple analog and digital devices using LonTalk. Naval Postgraduate School, 1997.

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Symposium on Autonomous Underwater Vehicle Technology (1998 Cambridge, Mass.). Proceedings of the 1998 Workshop on Autonomous Underwater Vehicles: AUV '98 : August 20 and 21, 1998, Cambridge, Massachusetts, USA. IEEE, 1998.

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Byrne, Kevin Michael. Real-time modeling of cross-body flow for torpedo tube recovery of the Phoenix Autonomous Underwater Vehicle (AUV). Naval Postgraduate School, 1998.

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Floyd, Charles Alan. Design and implementation of a collision avoidance system for the NPS Autonomous Underwater Vehicle (AUV II) utilizing ultrasonic sensors. Naval Postgraduate School, 1991.

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Cruz, Nuno A. Autonomous underwater vehicles. InTech, 2011.

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Book chapters on the topic "Autonomous underwater vehicles (AUV)"

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Feng, Zhengping. "Autonomous Underwater Vehicle (AUV)." In Encyclopedia of Ocean Engineering. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6963-5_44-1.

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Copros, Thierry, and Daniel Scourzic. "Alister – Rapid Environment Assessment AUV (Autonomous Underwater Vehicle)." In Global Change: Mankind-Marine Environment Interactions. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8630-3_40.

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Manzanilla, Adrian, Miguel Garcia, Rogelio Lozano, and Sergio Salazar. "Design and Control of an Autonomous Underwater Vehicle (AUV-UMI)." In Marine Robotics and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70724-2_6.

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Kamil, Md Salim, Noorazlina Mohamid Salih, Atzroulnizam Abu, Muhammad Muzhafar Abdullah, Norshakila Abd Rasid, and Mohd Shahrizan Mohd Said. "A Trim Tank Control System for an Autonomous Underwater Vehicle (AUV)." In Engineering Applications for New Materials and Technologies. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72697-7_46.

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Yusof, Ahmad Anas, Mohd Khairi Mohamed Nor, Shamsul Anuar Shamsudin, Mohd Rizal Alkahari, Mohd Shahrieel bin Mohd Aras, and Mohamad Riduwan Md Nawawi. "Facing the Autonomous Underwater Vehicle Competition Challenge: The TUAH AUV Experience." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8788-2_22.

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Ramli, Mohd Amin Hakim, Mohd Iqram Bin Mohd Kamro, Muhamad Fadli Ghani, et al. "Preliminary Design and Analysis Study of Propeller for Autonomous Underwater Vehicle (AUV)." In Engineering Applications for New Materials and Technologies. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72697-7_21.

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Yusof, Siti Nazurah Md, Herdawatie Abdul Kadir, Khalid Isa, Radzi Ambar, and Muhammad Shafiq Mohd Shamshuri. "An Analysis of Acoustics Fish Surveys Module for Autonomous Underwater Vehicle (AUV)." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2406-3_13.

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Yusof, Ahmad Anas, Mohd Khairi Mohamed Nor, Shamsul Anuar Shamsudin, Mohd Rizal Alkahari, and Masjuri Musa. "The Development of PANTHER AUV for Autonomous Underwater Vehicle Competition Challenge 2017/2018." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8788-2_24.

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Karimanzira, Divas, and Helge Renkewitz. "Detection and localization of an underwater docking station in acoustic images using machine learning and generalized fuzzy hough transform." In Machine Learning for Cyber Physical Systems. Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-62746-4_3.

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AbstractLong underwater operations with autonomous battery charging and data transmission require an Autonomous Underwater Vehicle (AUV) with docking capability, which in turn presume the detection and localization of the docking station. Object detection and localization in sonar images is a very difficult task due to acoustic image problems such as, non-homogeneous resolution, non-uniform intensity, speckle noise, acoustic shadowing, acoustic reverberation and multipath problems. As for detection methods which are invariant to rotations, scale and shifts, the Generalized Fuzzy Hough Transform (GFHT) has proven to be a very powerful tool for arbitrary template detection in a noisy, blurred or even a distorted image, but it is associated with a practical drawback in computation time due to sliding window approach, especially if rotation and scaling invariance is taken into account. In this paper we use the fact that the docking station is made out of aluminum profiles which can easily be isolated using segmentation and classified by a Support Vector Machine (SVM) to enable selective search for the GFHT. After identification of the profile locations, GFHT is applied selectively at these locations for template matching producing the heading and position of the docking station. Further, this paper describes in detail the experiments that validate the methodology.
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Cildoz, Mariana Uzeda, Carlos Henrique Farias Dos Santos, and Romeu Reginatto. "Comparative Study of Chattering-Free Sliding Mode Controllers Applied to an Autonomous Underwater Vehicle (AUV)." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10380-8_56.

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Conference papers on the topic "Autonomous underwater vehicles (AUV)"

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Watanabe, Yoshitaka, Koji Meguro, Mitsuyasu Deguchi, Yukihiro Kida, and Takuya Shimura. "Integrated Acoustic Communication and Positioning System Between an Autonomous Surface Vehicle and Autonomous Underwater Vehicles." In ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/omae2019-96623.

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Abstract In underwater observation using an autonomous underwater vehicle (AUV), a support vessel typically monitors the AUV to support the observation. In order to make the AUV operation more efficient, an autonomous surface vehicle (ASV) and an acoustic multi-access communication and positioning system have developed. The developed acoustic system achieves multi-access with frequency division multiple access (FDMA) method, and the ASV can monitor up to three AUVs simultaneously. Positioning is performed with super short baseline (SSBL) method. The acoustic device has operation mode in which positioning and communication functions are integrated to achieve efficient uplink and accurate downlink simultaneously. Two observation operations were conducted successfully. In one of those, the ASV communicated with two types of AUVs during observation in 1250m water depth, then multiple access were achieved. Even nadir angle for one AUV became almost 40 degrees, the acoustic communication was performed. In another observation, two cruising AUVs were operated with a vessel and the ASV in 1500m water depth. The ASV monitored one AUV. Condition in case the device is equipped on small body of the ASV was evaluated. The communication was performed in this depth in severe condition. Furthermore integrated sequence of positioning and communication was successfully performed. Requirement in next phase, in which operation depth and number of multiple access are increased, is discussed.
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Sung, Minsung, and Soncheol Yu. "Mini ROV based anchoring AUV system TreeBot AUV." In 2016 IEEE/OES Autonomous Underwater Vehicles (AUV). IEEE, 2016. http://dx.doi.org/10.1109/auv.2016.7778715.

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Nakatani, Takeshi, Tadahiro Hyakudome, Takao Sawa, et al. "ASV MAINAMI for AUV monitoring and its sea trial." In 2016 IEEE/OES Autonomous Underwater Vehicles (AUV). IEEE, 2016. http://dx.doi.org/10.1109/auv.2016.7778687.

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Levine, E. R., L. Goodman, and C. Lubke. "AUV-based swell characterization." In 2008 IEEE/OES Autonomous Underwater Vehicles (AUV). IEEE, 2008. http://dx.doi.org/10.1109/auv.2008.5290526.

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Gilmour, Bill, Grant Niccum, and Tom O'Donnell. "Field resident AUV systems — Chevron's long-term goal for AUV development." In 2012 IEEE/OES Autonomous Underwater Vehicles (AUV). IEEE, 2012. http://dx.doi.org/10.1109/auv.2012.6380718.

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Schillai, Sophia M. "Pipefish AUV: The flight style AUV delivering small, purpose built, hover capable AUVs." In 2016 IEEE/OES Autonomous Underwater Vehicles (AUV). IEEE, 2016. http://dx.doi.org/10.1109/auv.2016.7778714.

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Vikranth, Teppala, Chintapalli S. D. Raghavendra, and T. S. A. Surya Kumari. "Autonomous air & underwater vehicle." In 2016 IEEE/OES Autonomous Underwater Vehicles (AUV). IEEE, 2016. http://dx.doi.org/10.1109/auv.2016.7778723.

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Song, Seokyong, and Son-Cheol Yu. "Underwater marking AUV using paraffin wax." In 2016 IEEE/OES Autonomous Underwater Vehicles (AUV). IEEE, 2016. http://dx.doi.org/10.1109/auv.2016.7778716.

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Marouchos, Andreas, Mark Underwood, and Russ Babcock. "Starbug X AUV: Field trials and analysis of in-situ multi-channel AUV data." In 2016 IEEE/OES Autonomous Underwater Vehicles (AUV). IEEE, 2016. http://dx.doi.org/10.1109/auv.2016.7778651.

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Hallouda, Aya, Ibrahim Habib, Abdelrahman El Maradny, Abdelrahman Abouklila, Hussein Mesharafa, and Mahmoud Sofrata. "The Integration of Remotely Operated Vehicles ROVS and Autonomous Underwater Vehicles AUVS Using Subsea Wireless Communication." In International Petroleum Technology Conference. IPTC, 2022. http://dx.doi.org/10.2523/iptc-22157-ea.

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Abstract The proposed technology provides subsea autonomous solutions using artificial intelligence and communication software. These integrate wirelessly between Remotely Operated Vehicles (ROVs) and Autonomous Underwater Vehicles (AUVs). This is a significant improvement on the current pre-programmed mode of AUVs and the subsea communications and operation of autonomous robotics. Furthermore, the technology allows underwater wireless communication between autonomous subsea robotics and introduces new operational opportunities using simultaneous multi-robotic subsea arrays. Underwater vehicles are used for a wide variety of operations that include – but are not limited to inspection/identification, oceanography, survey missions or samples picking. Underwater vehicles may be manned or unmanned. Among the unmanned vehicles, there are ROVs and AUVs. An Autonomous Underwater Vehicle (AUV) is a robot that travels underwater without requiring input from an operator. AUVs constitute part of a larger group of undersea systems known as unmanned underwater vehicles, a classification that includes the mentioned non-autonomous Remotely Operated underwater Vehicles (ROVs) – controlled and powered from the surface by an operator/pilot via an umbilical or using remote control. ROVs are unmanned underwater vehicles connected to a base station, which may be a ship. As mentioned ROVs are connected to the ship by means of cables; this implies that the maximum achievable distance between the ROV and the base station is limited by the length of the cable. AUVs are unmanned underwater vehicles, which are connected to a docking station by means of a wireless communication. Typically, AUVs are propelled through the energy stored in batteries housed in their body. This means that the operative range of an AUV is limited by the capacity of the battery. This type of underwater vehicles has recently become an attractive alternative for underwater search and exploration since they are cheaper than manned vehicles. Over the past years, there have been abundant attempts to develop underwater vehicles to meet the challenge of exploration and extraction programs in the oceans. Recently, researchers have focused on the development of AUVs for long-term data collection in oceanography and coastal management. The oil and gas industry uses AUVs to make detailed maps of the seafloor before they start building subsea infrastructure; pipelines and sub-sea completions can be installed in the most cost effective manner with minimum disruption to the environment. In addition, post-lay pipe surveys are now possible, which includes pipeline inspection. The use of AUVs for pipeline inspection and inspection of underwater man-made structures is becoming more common. With the adoption of AUV technology becoming more widespread, the limitations of the 5 technology are being explored and addressed. The average AUV charge lasts about 24- hours on an underwater AUV, but sometimes it is necessary to deploy them for the kinds of several day missions that some unmanned systems are equipped to undertake. Like most robots, the unmanned mechanisms contain batteries that require regular recharging. Docking stations that communicate directly with underwater vehicles, guiding them to where they can recharge and transfer data have been developed. Any data the AUV has gathered, such as images of the seabed, could be uploaded to the docking station and transmitted to home base, which could direct new instructions to the robot any underwater vehicle requiring the need of a wireless communication with the docking station faces at least the problem of the limitations for wireless communications in water
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Reports on the topic "Autonomous underwater vehicles (AUV)"

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Kragelund, Sean. NPS Center for Autonomous Underwater Vehicle (AUV) Research. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada435909.

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Earle, Marshall D. Small Autonomous Underwater Vehicle (AUV) Wave Measurement System. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada625399.

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Earle, Marshall D. Small Autonomous Underwater Vehicle (AUV) Wave Measurement System. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada630546.

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Riedel, Jeffrey S., and Anthony J. Healey. Estimation of Directional Wave Spectra from an Autonomous Underwater Vehicle (AUV). Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada436031.

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Lalaque, Samuel. Design of a Power Bus for a New Autonomous Underwater Vehicle (AUV). Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada369170.

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Edwards, Dean B. Magnetic Signature Assessment System Using Multiple Autonomous Underwater Vehicles (AUVs), Phase 2. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada551868.

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Doleac, Joel. A Graphic User Interface (GUI) for Generating NPS Autonomous Underwater Vehicle (AUV) Execution Script Files. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada369172.

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Gawarkiewicz, Glen, and Albert Plueddemann. Autonomous Underwater Vehicle (AUV) for the Study of Coastal and Upper Ocean Processes at the Woods Hole Oceanographic Institution. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada472579.

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Boswarva, K. L., J. A. Howe, C. Fox, C. Abernathy, and K E Brown. Using autonomous underwater vehicles (AUVs) to map the fjordic habitats in the Chilean Patagonia: a tool for the development of marine protected areas. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/305421.

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Hover, Franz S. Maneuvering Performance of Autonomous Underwater Vehicles. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada446746.

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