Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation (Paperback)

Language: English

Published by LAP Lambert Academic Publishing, 2026

6209774792 / 9786209774799

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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.

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Title
Sensor Fusion Using Kalman Filter for a Quadrotor-Attitude Estimation (Paperback)
Author
Samir Ayman
Publisher
LAP Lambert Academic Publishing
Publication year
2026
Condition
new
Binding
Paperback
Language
English
ISBN 10
6209774792
ISBN 13
9786209774799

CitiRetail

Stevenage, United Kingdom

5-star seller

AbeBooks seller since June 29, 2022

Shipping rates from United Kingdom to U.S.A.

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