Relevant bibliographies by topics / AUV

Contents

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

Academic literature on the topic 'AUV'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "AUV"

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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-t
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Nishida, Yuya, Takashi Sonoda, Shinsuke Yasukawa, et al. "Underwater Platform for Intelligent Robotics and its Application in Two Visual Tracking Systems." Journal of Robotics and Mechatronics 30, no. 2 (2018): 238–47. http://dx.doi.org/10.20965/jrm.2018.p0238.

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A hovering-type autonomous underwater vehicle (AUV) capable of cruising at low altitudes and observing the seafloor using only mounted sensors and payloads was developed for sea-creature survey. The AUV has a local area network (LAN) interface for an additional payload that can acquire navigation data from the AUV and transmit the target value to the AUV. In the handling process of the state flow of an AUV, additional payloads can control the AUV position using the transmitted target value without checking the AUV condition. In the handling process of the state flow of an AUV, additional paylo
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Ren, Ranzhen, Lichuan Zhang, Lu Liu, et al. "Multi-AUV Cooperative Navigation Algorithm Based on Temporal Difference Method." Journal of Marine Science and Engineering 10, no. 7 (2022): 955. http://dx.doi.org/10.3390/jmse10070955.

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To reduce the cooperative positioning error and improve the navigation accuracy, a single master–slave AUV cooperative navigation method is proposed in this paper, which mainly focuses on planning the optimal path of the master AUV by the time difference (TD) method, under the premise that the path of the slave AUV has been planned. First, the model of multi-AUV cooperative navigation is established, and the observable problem of the system is analyzed. Second, for the single master–slave AUV cooperative navigation system, a Markov decision process (MDP)-based multi-AUV cooperative navigation
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Dmitry, Antonov, Kolganov Leonid, Savkin Aleksey, Chekhov Egor, and Ryabinkin Maxim. "NAVIGATION AND MOTION CONTROL SYSTEMS OF THE AUTONOMOUS UNDERWATER VEHICLE." EUREKA: Physics and Engineering 4 (July 31, 2020): 38–50. https://doi.org/10.21303/2461-4262.2020.001361.

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Autonomous underwater vehicles (AUVs) are widely used and have proven their effectiveness in tasks such as transportation safety, area monitoring and seafloor mapping. When developing AUV’s navigation and control systems, the engineers have to ensure the required levels of accuracy and reliability for solving navigation and motion control tasks in autonomous underwater operation under restrictions on the overall dimensions and power consumption of the AUV. The main purpose of this paper is to present preliminary results of AUV navigation and motion control systems development. The AUV&rs
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Lin, Changjian, Dan Yu, and Shibo Lin. "Allocation Strategy Optimization Using Repulsion-Enhanced Quantum Particle Swarm Optimization for Multi-AUV Systems." Journal of Marine Science and Engineering 12, no. 12 (2024): 2270. https://doi.org/10.3390/jmse12122270.

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In the context of multi-autonomous underwater vehicle (multi-AUV) operations, the target assignment is addressed as a multi-objective allocation (MOA) problem. The selection of strategy for multi-AUV target allocation is dependent on the current non-cooperative environment. This paper establishes a multi-AUV allocation situation advantage evaluation system to assess and quantify the non-cooperative environment. Based on this framework, a multi-AUV target allocation model using a bi-matrix game theory is developed, where multi-AUV target allocation strategies are considered as part of the strat
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Hu, Qing Yu, Jun Zhou, and Zhi Zha. "Application of PSO-BP Network Algorithm in AUV Depth Control." Applied Mechanics and Materials 321-324 (June 2013): 2025–31. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.2025.

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In order to improve the depth performance of AUV in parking, a PSO-BP algorithm for the depth control is presented. The algorithm can use the standard particle swarm (PSO) as BP neural network learning method, and which can be evolved in the AUV depth adaptive control. The adaptive controller has adopted the double neural network unit. One of controllers is made use the input terminal to output control quantity on the basis of current displacement and vertical acceleration of the AUV. The other can be recognized on-line by the AUV model identifier. The numerical simulations are given to verify
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Matsuda, Takumi, Yang Weng, Yuki Sekimori, Takashi Sakamaki, and Toshihiro Maki. "One-Way-Signal-Based Localization Method of Multiple Autonomous Underwater Vehicles for Distributed Ocean Surveys." Journal of Robotics and Mechatronics 36, no. 1 (2024): 190–200. http://dx.doi.org/10.20965/jrm.2024.p0190.

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This study proposes a simultaneous localization method of a group of autonomous underwater vehicles (AUVs) based on one-way signals to realize distributed oceanographic surveys. Each AUV group consists of a single high-performance AUV (parent AUV) and the other AUVs (child AUVs). The child AUVs estimate their states (position and heading) based on the parent AUV as a positioning reference. By assuming a situation in which many AUV groups are deployed, the child AUVs can receive positioning signals from multiple parent AUVs. Although only the direction information of the parent AUV can be obtai
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Filaretov, V. F., and D. A. Yukhimets. "The Path Planning Method for AUV Group Moving in Environment with Obstacles." Mekhatronika, Avtomatizatsiya, Upravlenie 21, no. 6 (2020): 356–65. http://dx.doi.org/10.17587/mau.21.356-365.

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The new path planning method for AUV group moved in the " leader-followers" mode in a desired formation in an unknown environment with obstacles is proposed in paper. In this case one AUV plays role of AUV-leader, which has information about the mission and plans a safe trajectory of its movement, depending on its purpose and detected obstacles. AUV-followers must move behind the leader, in accordance with their assigned place in formation, using information about the current position of the leader, received via acoustic communication channels, and information about their distances to obstacle
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Yang, Lichun. "Small Modular AUV Based on 3D Printing Technology: Design, Implementation and Experimental Validation." Brodogradnja 75, no. 1 (2024): 1–16. http://dx.doi.org/10.21278/brod75104.

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A small modular autonomous underwater vehicle (AUV) offers several benefits including enhanced mobility, cost-effectiveness, compact and portable structure, and small size. This paper proposes a comprehensive design and implementation approach for a small modular AUV, named as ARMs1.0, utilizing cutting-edge 3D printing technology. The main cabin shell of the AUV features a modular design and is manufactured using 3D printing technology. The control module and sensing equipment are installed in a sealed compartment. To achieve forward, pitching, and yawing motions, the AUV is equipped with duc
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Sumule, Gian William. "LEGALITAS PENGGUNAAN AUTONOMOUS UNDERWATER VEHICLE DITINJAU DARI HUKUM LAUT INTERNASIONAL." BELLI AC PACIS 9, no. 1 (2023): 65. https://doi.org/10.20961/belli.v9i1.42861.

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<em>This thesis aims to research on the legality of the use of Autonomous Underwater Vehicles or AUV according to International Law of the Sea. AUV in general is a small ship compared to ship. AUV is equipped with sophisticated technology where AUV is able to operate autonomously in international seas even without the full supervision of the State. AUV often equated with drones that operate below sea level. The presence of AUV in the international sea law regime is certainly a challenge in regulating the use of AUV. This also impacts on the definition, rights, obligations, and the state'
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Dissertations / Theses on the topic "AUV"

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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. Optim
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Engelhardtsen, Øystein. "3D AUV Collision Avoidance." Thesis, Norwegian University of Science and Technology, Department of Engineering Cybernetics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9534.

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<p>An underlying requirement for any Autonomous Underwater Vehicle (AUV) is to navigate through unknown or partly unknown environments while performing certain user specified tasks. The loss of an AUV due to collision is unjustifiable both in terms of cost and replacement time. To prevent such an unfortunate event, one requires a robust and effective Collision Avoidance System (CAS). This paper discusses the collision avoidance problem for the HUGIN AUVs. In the first part, a complete simulator for the HUGIN AUV is implemented in matlab and simulink. This includes a 6 degrees-of-freedom nonlin
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Åkerström, David. "Militärtekniskt perspektiv på AUV." Thesis, Försvarshögskolan, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:fhs:diva-4807.

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Sweden is dependent on secure sea transport. Shorter disruption of imports of fuel and crude oil can be managed with an emergency stock, but a prolonged halt in imports creates problems. For industry, the vulnerability is greater. Fragmented production chains in combination with expenditure reductions in inventory causes a dependency on proper transport of intermediate goods in the manufacturing industry. A lengthy disruption thus involves disruption of production for both domestic consumption and for export goods containing imported parts.In order to secure shipping routes with a limited numb
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Brutzman, Donald P. "NPS AUV Integrated Simulation." Thesis, Monterey, Calif. : Naval Postgraduate School, 1992. http://handle.dtic.mil/100.2/ADA248120.

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Thesis (M.S. in Computer Science)--Naval Postgraduate School, March 1992.<br>Thesis Advisor(s): Kanayama, Yutaka ; Zyda, Michael J. "March 1992." Appendix G videotape located at VHS 5000043. Includes bibliographical references (p. 240-247). Also available in print.
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Seely, William Forrester. "Development of a Power System and Analysis of Inertial System Calibration for a Small Autonomous Underwater Vehicle." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/33850.

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Compared to large vehicles acting individually, platoons of small, inexpensive autonomous underwater vehicles have the potential to perform some missions that are commonly conducted by larger vehicles faster, more efficiently, and at a reduced operational cost. This thesis describes the power system of a small, inexpensive autonomous underwater vehicle developed by the Autonomous Systems Controls Laboratory at Virginia Tech. <p>Reduction in vehicle size and cost reduces the accuracy of navigational sensors, leading to the need for autonomous calibration. Several models of navigational sensor
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LeBas, Phillip J. "Maximizing AUV slow speed performance." Springfield, Va. : Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ada339442.

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Thesis (M.S. in Ocean Engineering) Woods Hole Oceanographic Institution and the Massachusetts Institute of Technology, Sept. 1997.<br>DTIC Descriptor(s): Underwater Vehicles, Autonomous Navigation, Optimization, Adaptive Control Systems, Pitch (Motion), Equations Of Motion, Hydrodynamic Characteristics, Performance (Engineering), Theses, Low Velocity, Control Theory, Energy Conservation, Submarine Models. Includes bibliographical references (leaves 101-104). Also available online.
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Brunner, Glenn M. "Experimental verification of AUV performance." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23226.

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Analog Systems, Control Systems, Underwater Vehicles, Adaptive Control Systems, Calibration, Control, Detectors, Diving, Equations, Identification, Input, Least Squares Method, Maneuvers, Models, Performance Tests, Radio Equipment, Recursive Functions, Response, Signals, Theses, Transfer Functions, Vehicles, Vertical Orientation, Water Tanks
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LeBas, Phillip J. (Phillip Jude) 1955. "Maximizing AUV slow speed performance." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43544.

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Phaneuf, Matthew D. "Experiments with the REMUS AUV." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Jun%5FPhaneuf.pdf.

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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<br>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 pr
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Books on the topic "AUV"

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Brutzman, Donald P. NPS AUV Integrated Simulation. Naval Postgraduate School, 1992.

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LeBas, Phillip J. Maximizing AUV slow speed performance. Available from National Technical Information Service, 1997.

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Brunner, Glenn M. Experimental verification of AUV performance. Naval Postgraduate School, 1988.

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Singh, Hanumant. An entropic framework for AUV sensor modelling. Massachusetts Institute of Technology, Woods Hole Oceanographic Institution, Joint Program in Oceanography/Applied Ocean Science and Engineering], 1995.

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United States. Naval Meteorology and Oceanography Command. and Naval Research Laboratory (U.S.), eds. Review of autonomous underwater vehicle (AUV) developments. Naval Oceanographic and Atmospheric Research Laboratory, 2001.

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Melvin, James E. AUV fault detection using model based observer residuals. Naval Postgraduate School, 1998.

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Good, Michael R. Design and construction of a second generation AUV. Naval Postgraduate School, 1989.

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Brown, James P. Four quadrant dynamic model of the AUV II thruster. Naval Postgraduate School, 1993.

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Caddell, Tymothy Wayne. Three-dimensional path planning for the NPS II AUV. Naval Postgraduate School, 1991.

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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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Book chapters on the topic "AUV"

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Zhang, Jinfei. "AUV/ROV/HOV Hydrostatics." In Encyclopedia of Ocean Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-6963-5_258-1.

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Zhang, Jinfei. "AUV/ROV/HOV Stability." In Encyclopedia of Ocean Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-6963-5_259-1.

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Jiang, Zhe, and Pengfei Sun. "AUV/ROV/HOV Resistance." In Encyclopedia of Ocean Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-6963-5_263-1.

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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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Zhang, Jinfei. "AUV/ROV/HOV Stability." In Encyclopedia of Ocean Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-10-6946-8_259.

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Zhang, Jinfei. "AUV/ROV/HOV Hydrostatics." In Encyclopedia of Ocean Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-10-6946-8_258.

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Feng, Zhengping. "Autonomous Underwater Vehicle (AUV)." In Encyclopedia of Ocean Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-10-6946-8_44.

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Prasser, David, and Matthew Dunbabin. "Sensor Network Based AUV Localisation." In Springer Tracts in Advanced Robotics. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13408-1_26.

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Kwon, Soon T., Woon Kyung Baek, and Moon G. Joo. "Implementation of AUV Test-Bed." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22333-4_36.

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Chen, Yunsai, and Kun Liu. "AUV/ROV/HOV Propulsion System." In Encyclopedia of Ocean Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-6963-5_266-1.

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Conference papers on the topic "AUV"

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Turrisi, Raymond, Haojing Huang, Filip Strømstad, et al. "The Spurdog AUV: A Field Configurable and Optionally A-Sized Low-Cost AUV." In 2024 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV). IEEE, 2024. https://doi.org/10.1109/auv61864.2024.11030405.

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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
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Fujiwara, Toshifumi, Kangsoo Kim, Masahiko Sasano, et al. "Sea Trials Summarization on Fundamental Formation Control of Multiple Cruising AUVs -2nd Report: 3 Cruising AUVs With 1 ASV Trial, and Hovering AUVs’ AUV-AUV Positioning and Communication-." In ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/omae2022-78370.

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Abstract National Maritime Research Institute (NMRI) has been studying the development of multi-vehicle operation technology for autonomous underwater vehicles (AUVs) and an autonomous surface vehicle (ASV) mainly from the viewpoint of efficient operation. These results were obtained through our participation in the 2nd term Cross-ministerial Strategic Innovation Promotion Program (SIP2), “Innovative Technology for Exploration of Deep Sea Resources” in Japan. In the project, NMRI is promoting an advanced control system for AUVs initiatively together with the lead agency, Japan Agency for Marin
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Watanabe, Yoshitaka, Koji Meguro, Mitsuyasu Deguchi, and Takuya Shimura. "Development of Acoustic Communication and Positioning System for Operation of Multiple AUVs." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-78278.

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In underwater observation using an autonomous underwater vehicle (AUV), a support vessel typically monitors the AUV to support the observation. The AUV have to be positioned to be tracked by the vessel and informed the positioning result for navigation with acoustic communication. This process is significant especially in deep water. The AUV uplinks to inform its status and transmit some observation data in real time, and sometimes be commanded to change the observation plan by downlink from the vessel. Authors planned to use an autonomous surface vehicle (ASV) to track and monitor multiple AU
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Guo, Yu, Peng Li, and Zhiyuan Jiang. "Research on Coupling Characteristics of AUV Hydrodynamic and Motion Response Under Turbulent Flow Induced by Underwater Dune." In ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/omae2024-126282.

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Abstract As marine resources continue to be extensively developed, Autonomous Underwater Vehicles (AUVs) have emerged as powerful tools for ocean exploration. In tasks such as near-seabed detection, AUVs are required to operate in close proximity to the seabed. The complex terrain of the seabed amplifies the turbulent characteristics of near-seabed flow fields, affecting the hydrodynamic performance of AUVs. The continuously changing turbulent field induces fluctuations in AUV hydrodynamic coefficients, subsequently influencing the stability of AUV navigation. This study focuses on a typical d
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Rajala, Andrew G., Dean B. Edwards, and Micheal O’Rourke. "Collaborative Behavior for Vehicle Replacement in AUV Formations." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-80081.

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The Navy would like to use platoons of cooperating Autonomous Underwater Vehicles (AUVs) for large area underwater mine countermeasures (MCM). Collaborative behavior requires a common language, control structure, and logic so the AUVs can coordinate their action through communication. The loss of an AUV (can no longer perform assigned tasks) is a problem the formation is likely to face. The formation must compensate for lost AUVs, or time would be wasted in researching the area. In order to replace a lost AUV, the formation must determine when a vehicle is lost and what to do if a vehicle retu
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Pham Van, Tien, and Chung Duc Nguyen Dang. "Underwater Searching based on AUV - ASV Cooperation." In 2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM). IEEE, 2022. http://dx.doi.org/10.1109/imcom53663.2022.9721807.

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Sato, Takumi, Kangsoo Kim, Masahiko Sasano, et al. "Sea Trials of Multiple Heterogenous Cruising AUVs and ASV With Basic Formation Control." In ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/omae2023-103370.

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Abstract The National Maritime Research Institute (NMRI), in collaboration with the Japan Agency for Marine-Earth Science and Technology (JAMSTEC), is conducting research and development of seafloor observation technology using multiple autonomous underwater vehicles (AUVs) and one autonomous surface vehicle (ASV) under the 2nd SIP project “Innovative Technology for Deep Sea Resource Exploration.” A group of heterogeneous AUVs with different design concepts may have to be controlled when operating multiple AUVs simultaneously. In this study, we developed a basic formation control system that e
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Haji, Maha N., Jimmy Tran, Johannes Norheim, and Olivier L. de Weck. "Design and Testing of AUV Docking Modules for a Renewably Powered Offshore AUV Servicing Platform." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18982.

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Abstract Autonomous Underwater Vehicle (AUV) missions are limited in range and duration by the vehicle’s battery capacity, and sensor payloads are limited by the processing power onboard which is also restricted by the vehicle’s battery capacity. Furthermore, the power consumption of a vehicle’s acoustic system limits the possibility of substantial data transmission, requiring the AUV be retrieved to download most data. The Platform for Expanding AUV exploRation to Longer ranges (PEARL), described in this paper, aims to extend the range and endurance of AUVs while reducing data latency and ope
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Hornfeld, Willi. "Status of the Atlas Elektronik’s Modular AUV Family." In 25th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/omae2006-92357.

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As opposed to ROVs (Remotely Operated Vehicles), self-propelled, unmanned autonomous underwater vehicles (AUVs) are becoming increasingly important since, unlike ROVs they can operate completely self-sufficiently, i.e. independent of the carrier platform and cable at practically any depth and for long periods of time, require only minor technical and logistic support and can be used in regions which are inaccessible to manned submersibles or ROVs (e.g. under ice regions). In other words, AUVs are distinguished by a wide range of applications, the extremely high quality of data collected, their
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Reports on the topic "AUV"

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Darling, Donald, and James Jalbert. Morpheus AUV Development. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada625155.

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Pederson, R. 2011 AUV objectives. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2012. http://dx.doi.org/10.4095/290244.

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Willcox, J. S. The Cornerstone AUV Navigator. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada625405.

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Willcox, J. S., and Christopher M. Smith. The Cornerstone AUV Navigator. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada626871.

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von Alt, Christopher, and Thomas Austin. Hydrography with Affordable AUV Systems. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada628674.

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6

Coleman, Joseph, Kaylani Merrill, Michael O'Rourke, Andrew G. Rajala, and Dean B. Edwards. Identifying Error in AUV Communication. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada459285.

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7

Leonard, John J. AUV Navigation Investment Strategy Roadmap. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada625097.

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8

Horner, D. P., A. J. Healey, and S. P. Kragelund. AUV Experiments in Obstacle Avoidance. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada474937.

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9

Healey, Anthony J., A. M. Pascoal, R. Santos, et al. Shallow Water Hydrothermal Vent Survey in Azores With Cooperating ASV and AUV. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada436043.

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Chen, Xiadong, Dave Marco, Sam Smith, Edgar An, K. Ganesan, and Tony Healey. 6 DOF Nonlinear AUV Simulation Toolbox. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada436038.

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