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Titlebook: Development and Testing of Navigation Algorithms for Autonomous Underwater Vehicles; Francesco Fanelli Book 2020 Springer Nature Switzerl

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發(fā)表于 2025-3-21 16:54:45 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Development and Testing of Navigation Algorithms for Autonomous Underwater Vehicles
編輯Francesco Fanelli
視頻videohttp://file.papertrans.cn/270/269932/269932.mp4
概述Nominated as an outstanding PhD thesis by University of Florence, Italy.Describes novel algorithms for AUV pose and attitude estimation.Includes extensive validation results obtained in field tests
叢書名稱Springer Theses
圖書封面Titlebook: Development and Testing of Navigation Algorithms for Autonomous Underwater Vehicles;  Francesco Fanelli  Book 2020 Springer Nature Switzerl
描述This book focuses on pose estimation algorithms for Autonomous Underwater Vehicles (AUVs). After introducing readers to the state of the art, it describes a joint endeavor involving attitude and position estimation, and details the development of a nonlinear attitude observer that employs inertial and magnetic field data and is suitable for underwater use. In turn, it shows how the estimated attitude constitutes an essential type of input for UKF-based position estimators that combine position, depth, and velocity measurements.?.The book discusses the possibility of including real-time estimates of sea currents in the developed estimators, and highlights simulations that combine real-world navigation data and experimental test campaigns to evaluate the performance of the resulting solutions. In addition to proposing novel algorithms for estimating the attitudes and positions of AUVs using low-cost sensors and taking into account magnetic disturbances and ocean currents, the book provides readers with extensive information and a source of inspiration for the further development and testing of navigation algorithms for AUVs.?.
出版日期Book 2020
關(guān)鍵詞Navigation Sensors; Acoustic Localization Systems; AUV Dynamic Model; Unscented Kalman Filter; Sea Curre
版次1
doihttps://doi.org/10.1007/978-3-030-15596-4
isbn_ebook978-3-030-15596-4Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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發(fā)表于 2025-3-21 23:24:29 | 只看該作者
V. I. Mulyar,S. A. Semiletov,A. A. Tikhonova software. Wiley, 2001, [.]), (Julier and Uhlmann in Proceedings of the SPIE signal processing, sensor fusion and target recognition VI conference, vol 3068, 1997, [.]), which constitutes the basis for the position estimation filter developed during the Ph.D. period.
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發(fā)表于 2025-3-22 01:27:00 | 只看該作者
https://doi.org/10.1007/978-1-4615-3660-4e GNC loop of the vehicles. All the unknown coefficients, tunable parameters, and gains introduced in previous chapters were identified or set, for each vehicle, according to the outcome of preliminary experimental tests in order to achieve the best possible behavior for the algorithms under test.
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發(fā)表于 2025-3-22 08:11:22 | 只看該作者
Mathematical Background, software. Wiley, 2001, [.]), (Julier and Uhlmann in Proceedings of the SPIE signal processing, sensor fusion and target recognition VI conference, vol 3068, 1997, [.]), which constitutes the basis for the position estimation filter developed during the Ph.D. period.
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發(fā)表于 2025-3-22 16:13:53 | 只看該作者
Book 2020ibes a joint endeavor involving attitude and position estimation, and details the development of a nonlinear attitude observer that employs inertial and magnetic field data and is suitable for underwater use. In turn, it shows how the estimated attitude constitutes an essential type of input for UKF
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發(fā)表于 2025-3-22 19:04:19 | 只看該作者
Introduction,oitation of the resources available in the ocean depths attracted (and continue to attract) scientists and businessmen in equal measure. Regardless of the specific background, people involved in underwater operations often resort to the aid of robots, since the environment they work in is essentiall
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發(fā)表于 2025-3-23 09:19:46 | 只看該作者
Results, These tests, executed throughout the whole Ph.D. period, involved all the AUVs of the MDM Lab, and consist in simulations using experimental data acquired at sea (to, e.g., test the correctness of the algorithms or to investigate the causes of unexpected or undesired behavior), preliminary experime
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