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Development and Testing of Navigation Algorithms for Autonomous Underwater Vehicles

  • Francesco¬†Fanelli
Book

Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Francesco Fanelli
    Pages 1-11
  3. Francesco Fanelli
    Pages 13-24
  4. Francesco Fanelli
    Pages 25-39
  5. Francesco Fanelli
    Pages 41-71
  6. Francesco Fanelli
    Pages 73-93
  7. Francesco Fanelli
    Pages 95-96
  8. Back Matter
    Pages 97-97

About this book

Introduction

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. 

Keywords

Navigation Sensors Acoustic Localization Systems AUV Dynamic Model Unscented Kalman Filter Sea Currents Estimation Attitude Estimation AUV Navigation Magnetic Disturbance Underwater Self-localization

Authors and affiliations

  • Francesco¬†Fanelli
    • 1
  1. 1.Department of Industrial EngineeringUniversity of FlorenceFlorenceItaly

Bibliographic information