Development and Testing of Navigation Algorithms for Autonomous Underwater Vehicles (Hardcover, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Theses
Release date:	April 2019
First published:	2020
Authors:	Francesco Fanelli
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	97
Edition:	1st ed. 2020
ISBN-13:	978-3-03-015595-7
Categories:	Books > Earth & environment > Earth sciences > The hydrosphere > Oceanography (seas) Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	3-03-015595-1
Barcode:	9783030155957

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