Multisensor Attitude Estimation: Fundamental Concepts and Applications (Devices, Circuits, and Systems)

Multisensor Attitude Estimation: Fundamental Concepts and Applications (Devices, Circuits, and Systems)

By: Hassen Fourati (editor), Djamel Eddine Chouaib Belkhiat (editor)Hardback

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Description

There has been an increasing interest in multi-disciplinary research on multisensor attitude estimation technology driven by its versatility and diverse areas of application, such as sensor networks, robotics, navigation, video, biomedicine, etc. Attitude estimation consists of the determination of rigid bodies' orientation in 3D space. This research area is a multilevel, multifaceted process handling the automatic association, correlation, estimation, and combination of data and information from several sources. Data fusion for attitude estimation is motivated by several issues and problems, such as data imperfection, data multi-modality, data dimensionality, processing framework, etc. While many of these problems have been identified and heavily investigated, no single data fusion algorithm is capable of addressing all the aforementioned challenges. The variety of methods in the literature focus on a subset of these issues to solve, which would be determined based on the application in hand. Historically, the problem of attitude estimation has been introduced by Grace Wahba in 1965 within the estimate of satellite attitude and aerospace applications. This book intends to provide the reader with both a generic and comprehensive view of contemporary data fusion methodologies for attitude estimation, as well as the most recent researches and novel advances on multisensor attitude estimation task. It explores the design of algorithms and architectures, benefits, and challenging aspects, as well as a broad array of disciplines, including: navigation, robotics, biomedicine, motion analysis, etc. A number of issues that make data fusion for attitude estimation a challenging task, and which will be discussed through the different chapters of the book, are related to: 1) The nature of sensors and information sources (accelerometer, gyroscope, magnetometer, GPS, inclinometer, etc.); 2) The computational ability at the sensors; 3) The theoretical developments and convergence proofs; 4) The system architecture, computational resources, fusion level.

About Author

Hassen Fourati, PhD, is currently an associate professor of the electrical engineering and computer science at the University of Grenoble Alpes, Grenoble, France, and a member of the Networked Controlled Systems Team (NeCS), affiliated to the Automatic Control Department of the GIPSA-Lab. He earned his Bachelor of Engineering degree in Electrical Engineering at the National Engineering School of Sfax, Tunisia in 2006; his Master's degree in Automated Systems and Control at the University of Claude Bernard, Lyon, France in 2007; and his PhD degree in Automatic Control at the University of Strasbourg, France in 2010. His research interests include nonlinear filtering and estimation and multisensor fusion with applications in navigation, robotics, and traffic management. Dr. Fourati has published several research papers in scientific journals, international conferences, and book chapters. He can be reached at hassen.fourati@gipsa-lab.fr. Djamel Eddine Chouaib Belkhiat, PhD, is an associate professor in the department of physics at the Ferhat Abbas University, Setif 1, Algeria where he is also a member of Intelligent Systems Laboratory. He received the Bachelor of Engineering degree in Electrical Engineering from the Ferhat Abbas University, Setif 1, Algeria in 2007, the Master degree in Automatic Control from the University of Poitiers, France in 2008, and the Ph.D. degree in Automatic Control from the University of Reims Champagne Ardenne, France in 2011. His research interests lie in the area of monitoring and diagnosis of Hybrid Systems. Dr. Belkhiat has published several research papers in scientific journals, international conferences and book chapters. He can be reached at djamel.belkhiat@yahoo.fr.

Contents

Contents Preface Editors Contributors Historical Note Section I Preliminaries on Attitude Representations and Rotations Chapter 1 What Are Quaternions and Why Haven't I Heard of Them? Herb Klitzner Chapter 2 Rotation in 3D Space Ayman F. Habib Chapter 3 Attitude Parametrization, Kinematics, and Dynamics Lotfi Benziane, Abdelaziz Benallegue, and Yacine Chitour Section II Multisensor Filtering for Attitude Estimation: Theories and Applications Chapter 4 Stable Estimation of Rigid Body Motion Based on the Lagrange-d'Alembert Principle Amit K. Sanyal and Maziar Izadi Chapter 5 The Additive and Multiplicative Approaches to Quaternion Kalman Filtering Renato Zanetti and Robert H. Bishop Chapter 6 Spacecraft Attitude Determination Yaguang Yang Chapter 7 How to Deal with the External Acceleration When Estimating the Attitude Using Inertial Measurement Units: A Linear Kalman-Based Filtering Approach Gabriele Ligorio and Angelo Maria Sabatini Chapter 8 From Attitude Estimation to Pose Estimation Using Dual Quaternions Nuno Filipe, Michail Kontitsis, and Panagiotis Tsiotras Chapter 9 Distributed Estimation for Spatial Rigid Motion Based on Dual Quaternions Yue Zu and Ran Dai Chapter 10 A Quaternion Orientation from Earth Field Observations Using the Algebraic Quaternion Algorithm: Analysis and Applications in Fusion Algorithms Roberto G. Valenti, Ivan Dryanovski, and Jizhong Xiao Chapter 11 Recent Nonlinear Attitude Estimation Algorithms Seid H. Pourtakdoust and M. Kiani Chapter 12 Low Complexity Sensor Fusion Solution for Accurate Estimation of Gravity and Linear Acceleration Ramasamy Kannan Chapter 13 Deterministic Attitude Estimation Abraham P. Vinod and Arun D. Mahindrakar Chapter 14 Attitude Estimations with Intermittent Observations Naeem Khan Chapter 15 Estimation of Attitude from a Single-Direction Sensor Lionel Magnis and Nicolas Petit Chapter 16 Cooperative Attitude Estimation Based on Remote-Access Observations Chao Gao, Guorong Zhao, and Jianhua Lu Chapter 17 Nonlinear Observer for Attitude, Position, and Velocity: Theory and Experiments Havard Fjaer Grip, Thor I. Fossen, Tor A. Johansen, and Ali Saberi Chapter 18 Spacecraft Attitude Estimation Using Sparse Grid Quadrature Filtering Yang Cheng Chapter 19 Attitude Estimation for Small, Low-Cost UAVs: A Tutorial Approach Gabriel Hugh Elkaim and Demoz Gebre-Egziabher Chapter 20 3D Orientation Estimation Using Wearable MEMS Inertial/Magnetic Sensors Shaghayegh Zihajehzadeh, Jung Keun Lee, Reynald Hoskinson, and Edward J. Park Chapter 21 Adaptive Data Fusion of Multiple Sensors for Vehicle Pose Estimation Farhad Aghili and Alessio Salerno Chapter 22 Optimal Invariant Observers Theory for Nonlinear State Estimation Cedric Seren, Jean-Philippe Condomines, and Gautier Hattenberger Chapter 23 Design and Implementation of Low-Cost Attitude Heading References Systems for Micro Aerial Vehicles Jose Fermi Guerrero-Castellanos, German Ardul Munoz-Hernandez, Carlos A. Gracios-Marin, and Bernardino Benito Salmeron-Quiroz Chapter 24 Small Satellite Attitude Determination Demoz Gebre-Egziabher, Chuck S. Hisamoto, and Suneel I. Sheikh Chapter 25 A Hybrid Data Fusion Approach for Robust Attitude Estimation Pedro Santana, Renato Vilela Lopes, Geovany Borges, and Brian Williams Chapter 26 Integration of Single-Frame and Filtering Methods for Nanosatellite Attitude Estimation Halil Ersin Soken, Demet Cilden, and Chingiz Hajiyev Chapter 27 Ego-Motion Tracking in Dynamic Environments Using Wearable Visual-Inertial Sensors Jindong Tan, Hongsheng He, Ya Tian, Yong Guan, and William R. Hamel Chapter 28 Attitude Estimation for a Small-Scale Flybarless Helicopter Mohammad K. S. Al-Sharman Chapter 29 A Comparison of Multisensor Attitude Estimation Algorithms Andrea Cirillo, Pasquale Cirillo, Giuseppe De Maria, Ciro Natale, and Salvatore Pirozzi Chapter 30 Low-Cost and Accurate Reconstruction of Postures via IMU Gaspare Santaera, Emanule Luberto, and Marco Gabiccini Chapter 31 Attitude Estimation of a UAV Using Optical Flow Lianhua Zhang, Zongying Shi, and Yisheng Zhong Index

Product Details

  • ISBN13: 9781498745710
  • Format: Hardback
  • Number Of Pages: 580
  • ID: 9781498745710
  • weight: 1247
  • ISBN10: 1498745717

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