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Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation: Basics, Concepts, Modelling, Matlab Code and Experimental Validation Second Edition - Brossura
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Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation (Paperback)
Editore:
LAP Lambert Academic Publishing, 2026
ISBN 10: 6209774792
ISBN 13: 9786209774799
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Paperback. Condizione: new. Paperback. Quad rotors are types of unmanned air vehicles that became an attractive topic to an enormous number of people worldwide. This book focuses on sensor fusion of low-cost inertial sensors: a tri-axis accelerometer, a tri-axis gyroscope and a tri-axis magnetometer. Three types of filters were implemented in this book: two models of linear complementary filter (LCF), two models of linear Kalman filter (KF) and a quaternion-based extended Kalman filter (EKF). A total of five filter models were tested and verified using experimental data sets through three distinct scenarios. Six different data sets were chosen, each with antithetic characteristics, to test the filters on them. On the basis of the results of this research, it can be concluded that taking into consideration accelerometer bias improves the performance of the filter. KF shows the best performance as it combines the characteristics of short computing time and accurate estimation results suiting the aim of the book which is to allow the quad rotor to hover. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9786209774799
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Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation
Editore:
LAP Lambert Academic Publishing, 2026
ISBN 10: 6209774792
ISBN 13: 9786209774799
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Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9786209774799
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Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9786209774799
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Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation
Editore:
LAP LAMBERT Academic Publishing Mär 2026, 2026
ISBN 10: 6209774792
ISBN 13: 9786209774799
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 200 pp. Englisch. Codice articolo 9786209774799
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Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation | Basics, Concepts, Modelling, Matlab Code and Experimental Validation Second Edition
Editore:
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209774792
ISBN 13: 9786209774799
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation | Basics, Concepts, Modelling, Matlab Code and Experimental Validation Second Edition | Samir Ayman | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209774799 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Codice articolo 134937300
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Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation
Editore:
LAP LAMBERT Academic Publishing Mär 2026, 2026
ISBN 10: 6209774792
ISBN 13: 9786209774799
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Quad rotors are types of unmanned air vehicles that became an attractive topic to an enormous number of people worldwide. This book focuses on sensor fusion of low-cost inertial sensors: a tri-axis accelerometer, a tri-axis gyroscope and a tri-axis magnetometer. Three types of filters were implemented in this book: two models of linear complementary filter (LCF), two models of linear Kalman filter (KF) and a quaternion-based extended Kalman filter (EKF). A total of five filter models were tested and verified using experimental data sets through three distinct scenarios. Six different data sets were chosen, each with antithetic characteristics, to test the filters on them. On the basis of the results of this research, it can be concluded that taking into consideration accelerometer bias improves the performance of the filter. KF shows the best performance as it combines the characteristics of short computing time and accurate estimation results suiting the aim of the book which is to allow the quad rotor to hover.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 200 pp. Englisch. Codice articolo 9786209774799
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Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation : Basics, Concepts, Modelling, Matlab Code and Experimental Validation Second Edition
Editore:
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6209774792
ISBN 13: 9786209774799
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering. Codice articolo 9786209774799
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Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation (Paperback)
Editore:
LAP Lambert Academic Publishing, 2026
ISBN 10: 6209774792
ISBN 13: 9786209774799
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Da: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Quad rotors are types of unmanned air vehicles that became an attractive topic to an enormous number of people worldwide. This book focuses on sensor fusion of low-cost inertial sensors: a tri-axis accelerometer, a tri-axis gyroscope and a tri-axis magnetometer. Three types of filters were implemented in this book: two models of linear complementary filter (LCF), two models of linear Kalman filter (KF) and a quaternion-based extended Kalman filter (EKF). A total of five filter models were tested and verified using experimental data sets through three distinct scenarios. Six different data sets were chosen, each with antithetic characteristics, to test the filters on them. On the basis of the results of this research, it can be concluded that taking into consideration accelerometer bias improves the performance of the filter. KF shows the best performance as it combines the characteristics of short computing time and accurate estimation results suiting the aim of the book which is to allow the quad rotor to hover. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9786209774799
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Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation
Editore:
LAP Lambert Academic Publishing, 2026
ISBN 10: 6209774792
ISBN 13: 9786209774799
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Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. Print on Demand. Codice articolo 26406498909
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