Nonlinear kalman filtering for multi-sensor navigation of unmanned aerial vehicles :
General Material Designation
[Book]
Other Title Information
application to guidance and navigation of unmanned aerial vehicles flying in a complex environment /
First Statement of Responsibility
Jean-Philippe Condomines.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Amsterdam :
Name of Publisher, Distributor, etc.
Elsevier,
Date of Publication, Distribution, etc.
2018.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource :
Other Physical Details
illustrations (some color)
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
SUMMARY OR ABSTRACT
Text of Note
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.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Ingram Content Group
Stock Number
9780081027448
OTHER EDITION IN ANOTHER MEDIUM
Title
Nonlinear kalman filter for multi-sensor navigation of unmanned aerial vehicle.