Nonlinear kalman filtering for multi-sensor navigation of unmanned aerial vehicles : application to guidance and navigation of unmanned aerial vehicles flying in a complex environment

Nonlinear Kalman Filtering for Multi-Sensor Navigation of Unmanned Aerial Vehicles covers state estimation development approaches for Mini-UAV. The book focuses on Kalman filtering technics for UAV design, proposing a new design methodology and case study related to inertial navigation systems for d...

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Bibliographic Details
Main Author Condomines, Jean-Philippe (Author)
Format Electronic eBook
LanguageEnglish
Published Amsterdam : Elsevier, 2018.
Subjects
Drone aircraft.
Drone aircraft > Control systems.
Kalman filtering.
elektronické knihy
electronic books
Online AccessFull text
ISBN9780081027448
0081027443
9781785482854
1785482858
Physical Description1 online resource : illustrations (some color)

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Summary:Nonlinear Kalman Filtering for Multi-Sensor Navigation of Unmanned Aerial Vehicles covers state estimation development approaches for Mini-UAV. The book focuses on Kalman filtering technics for UAV design, proposing a new design methodology and case study related to inertial navigation systems for drones. Both simulation and real experiment results are presented, thus showing new and promising perspectives.
Bibliography:Includes bibliographical references and index.
ISBN:9780081027448
0081027443
9781785482854
1785482858
Access:Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
Physical Description:1 online resource : illustrations (some color)

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