Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation
8 Angebote vergleichen
Preise | 2016 | 2017 | 2019 |
---|---|---|---|
Schnitt | € 64,91 | € 72,31 | € 67,04 |
Nachfrage |
1
Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation
~EN NW AB
ISBN: 9783659854682 bzw. 3659854689, vermutlich in Englisch, neu, Hörbuch.
Lieferung aus: Niederlande, Lieferzeit: 5 Tage, zzgl. Versandkosten.
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.
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.
2
Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation - Basics, Concepts, Modelling, Matlab Code and Experimental Validation
DE PB NW
ISBN: 9783659854682 bzw. 3659854689, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation: 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. Englisch, Taschenbuch.
Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation: 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. Englisch, Taschenbuch.
3
Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation - Basics, Concepts, Modelling, Matlab Code and Experimental Validation (2016)
DE PB NW
ISBN: 9783659854682 bzw. 3659854689, in Deutsch, 200 Seiten, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Syndikat Buchdienst, [4235284].
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. 2016, Taschenbuch / Paperback, Neuware, H: 220mm, B: 150mm, 200, Internationaler Versand, Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung.
Von Händler/Antiquariat, Syndikat Buchdienst, [4235284].
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. 2016, Taschenbuch / Paperback, Neuware, H: 220mm, B: 150mm, 200, Internationaler Versand, Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung.
4
Symbolbild
Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation: Basics, Concepts, Modelling, Matlab Code and Experimental Validation (2016)
DE PB NW RP
ISBN: 9783659854682 bzw. 3659854689, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, European-Media-Service Mannheim [1048135], Mannheim, Germany.
This item is printed on demand for shipment within 3 working days.
Von Händler/Antiquariat, European-Media-Service Mannheim [1048135], Mannheim, Germany.
This item is printed on demand for shipment within 3 working days.
5
Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation
~EN PB NW
ISBN: 3659854689 bzw. 9783659854682, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
6
Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation: Basics, C
DE NW
ISBN: 9783659854682 bzw. 3659854689, in Deutsch, neu.
Lieferung aus: Australien, Delivery type: Flat, Delivery: Australien, America, Europe, Continental Asia, Neuseeland, Offer location: 2114 Australia.
Von Händler/Antiquariat, ausreseller - AusReseller.
Fixed price.
Von Händler/Antiquariat, ausreseller - AusReseller.
Fixed price.
7
Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation: Basics, Concepts, Modelling, Matlab Code and Experimental Validation (2016)
EN PB NW
ISBN: 9783659854682 bzw. 3659854689, in Englisch, 200 Seiten, LAP LAMBERT Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Gewöhnlich versandfertig in 24 Stunden, Versandkostenfrei. Tatsächliche Versandkosten können abweichen.
Von Händler/Antiquariat, averdo24.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, averdo24.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
8
Sensor Fusion Using Kalman Filter (2016)
DE PB NW
ISBN: 9783659854682 bzw. 3659854689, in Deutsch, Taschenbuch, neu.
Lieferung aus: Deutschland, Next Day, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Lade…