Titre : |
Multisensor attitude estimation : fundamental concepts and applications |
Type de document : |
texte imprimé |
Auteurs : |
Hassen Fourati, Éditeur scientifique ; Djamel Eddine Belkhiat, Éditeur scientifique ; Krzysztof Iniewski, Éditeur scientifique |
Editeur : |
London ; New York ; Boca Raton : CRC Press |
Année de publication : |
2017 |
Autre Editeur : |
London : Taylor and Francis |
Collection : |
Devices, circuits, and systems |
Importance : |
XXVI - 580 p. |
Présentation : |
ill. |
Format : |
27 cm. |
ISBN/ISSN/EAN : |
978-1-4987-4571-0 |
Note générale : |
Bibliogr. at the end of chapters . - Index p. 565 - 580 |
Langues : |
Anglais (eng) |
Mots-clés : |
Multisensor data fusion
Electronics in navigation Motion detectors |
Index. décimale : |
681.2 Fabrication et réalisation d'instruments en général. Instrumentation. Instruments de mesure et leur réalisation |
Résumé : |
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. |
Note de contenu : |
In summary:
I. Preliminaries on attitude representations and rotations.
1. What are quaternions and why haven’t i heard of them?
2. Rotation in 3D space.
...
II. Multisensor filtering for attitude estimation: theories and applications.
4. Stable estimation of rigid body motion based on the lagrange–d’alembert principle.
5. The additive and multiplicative approaches to quaternion kalman filtering.
... |
Multisensor attitude estimation : fundamental concepts and applications [texte imprimé] / Hassen Fourati, Éditeur scientifique ; Djamel Eddine Belkhiat, Éditeur scientifique ; Krzysztof Iniewski, Éditeur scientifique . - London ; New York ; Boca Raton : CRC Press : London : Taylor and Francis, 2017 . - XXVI - 580 p. : ill. ; 27 cm.. - ( Devices, circuits, and systems) . ISBN : 978-1-4987-4571-0 Bibliogr. at the end of chapters . - Index p. 565 - 580 Langues : Anglais ( eng)
Mots-clés : |
Multisensor data fusion
Electronics in navigation Motion detectors |
Index. décimale : |
681.2 Fabrication et réalisation d'instruments en général. Instrumentation. Instruments de mesure et leur réalisation |
Résumé : |
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. |
Note de contenu : |
In summary:
I. Preliminaries on attitude representations and rotations.
1. What are quaternions and why haven’t i heard of them?
2. Rotation in 3D space.
...
II. Multisensor filtering for attitude estimation: theories and applications.
4. Stable estimation of rigid body motion based on the lagrange–d’alembert principle.
5. The additive and multiplicative approaches to quaternion kalman filtering.
... |
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