Multisensor Attitude Estimation: Fundamental Concepts and Applications

ISBN-13: 9780367655815 / Angielski / Miękka / 2020 / 580 str.

Hassen Fourati; Djamel Eddine Chouaib Belkhiat

Opis

This book provides the reader with a generic and comprehensive view of contemporary data fusion methodologies for attitude estimation, as well as the most recent research and novel advances on task exploring, the design of algorithms and architectures, benefits, and challenging aspects, for a broad array of disciplines including navigation, robo

Spis treści

Section I Preliminaries on Attitude Representations and Rotations. What Are Quaternions and Why Haven’t I Heard of Them? Rotation in 3D Space. Attitude Parametrization, Kinematics, and Dynamics. Section II Multisensor Filtering for Attitude Estimation: Theories and Applications. Stable Estimation of Rigid Body Motion Based on the Lagrange–d’Alembert Principle. The Additive and Multiplicative Approaches to Quaternion Kalman Filtering. Spacecraft Attitude Determination. How to Deal with the External Acceleration When Estimating the Attitude Using Inertial Measurement Units: A Linear Kalman-Based Filtering Approach. From Attitude Estimation to Pose Estimation Using Dual Quaternions. Distributed Estimation for Spatial Rigid Motion Based on Dual Quaternions. A Quaternion Orientation from Earth Field Observations Using the Algebraic Quaternion Algorithm: Analysis and Applications in Fusion Algorithms. Recent Nonlinear Attitude Estimation Algorithms. Low Complexity Sensor Fusion Solution for Accurate Estimation of Gravity and Linear Acceleration. Deterministic Attitude Estimation. Attitude Estimations with Intermittent Observations. Estimation of Attitude from a Single-Direction Sensor. Cooperative Attitude Estimation Based on Remote-Access Observations. Nonlinear Observer for Attitude, Position, and Velocity: Theory and Experiments. Spacecraft Attitude Estimation Using Sparse Grid Quadrature Filtering. Attitude Estimation for Small, Low-Cost UAVs: A Tutorial Approach. 3D Orientation Estimation Using Wearable MEMS Inertial/Magnetic Sensors. Adaptive Data Fusion of Multiple Sensors for Vehicle Pose Estimation. Optimal Invariant Observers Theory for Nonlinear State Estimation. Design and Implementation of Low-Cost Attitude Heading References Systems for Micro Aerial Vehicles. Small Satellite Attitude Determination. A Hybrid Data Fusion Approach for Robust Attitude Estimation. Integration of Single-Frame and Filtering Methods for Nanosatellite Attitude Estimation. Ego-Motion Tracking in Dynamic Environments Using Wearable Visual-Inertial Sensors. Attitude Estimation for a Small-Scale Flybarless Helicopter. A Comparison of Multisensor Attitude Estimation Algorithms. Low-Cost and Accurate Reconstruction of Postures via IMU. Attitude Estimation of a UAV Using Optical Flow. Index.

O autorze

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.