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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 /

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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)
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: Amsterdam : Elsevier, 2018.
Subjects:
Drone aircraft.
Drone aircraft > Control systems.
Kalman filtering.
Drones.
Drones > Systèmes de commande.
Filtre de Kalman.
drone airplanes.
TECHNOLOGY & ENGINEERING > Military Science.
Drone aircraft
Drone aircraft > Control systems
Kalman filtering
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
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.
Physical Description:1 online resource : illustrations (some color)
Bibliography:Includes bibliographical references and index.
ISBN:9780081027448
0081027443
9781785482854
1785482858