Overview
- 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
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (6 chapters)
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Development and Testing of Navigation Algorithms for Autonomous Underwater Vehicles
Authors: Francesco Fanelli
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-030-15596-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-15595-7Published: 01 May 2019
eBook ISBN: 978-3-030-15596-4Published: 16 April 2019
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XIX, 97
Number of Illustrations: 2 b/w illustrations, 50 illustrations in colour
Topics: Robotics and Automation, Oceanography, Signal, Image and Speech Processing