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: eBook
Language: English
Published: Amsterdam : Elsevier, 2018.
Subjects:
Drone aircraft.
Drone aircraft > Control systems.
Kalman filtering.
elektronické knihy
electronic books
ISBN: 9780081027448
0081027443
9781785482854
1785482858
Physical Description: 1 online resource : illustrations (some color)

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Table of contents

LEADER 02589cam a2200397 i 4500
001 kn-on1066247979
003 OCoLC
005 20240717213016.0
006 m o d
007 cr cn|||||||||
008 181119s2018 ne a ob 001 0 eng d
040 |a N$T  |b eng  |e rda  |e pn  |c N$T  |d N$T  |d OPELS  |d OCLCF  |d UKMGB  |d YDX  |d CNCGM  |d STF  |d MERER  |d OCLCQ  |d U3W  |d ESU  |d WAU  |d S2H  |d OCLCO  |d ERD  |d OCLCQ  |d OCLCO  |d K6U  |d OCLCQ  |d SFB  |d OCLCQ  |d OCLCO  |d OCLCL 
020 |a 9780081027448  |q (electronic bk.) 
020 |a 0081027443  |q (electronic bk.) 
020 |a 9781785482854  |q (electronic bk.) 
020 |a 1785482858  |q (electronic bk.) 
035 |a (OCoLC)1066247979 
100 1 |a Condomines, Jean-Philippe,  |e author. 
245 1 0 |a Nonlinear kalman filtering for multi-sensor navigation of unmanned aerial vehicles :  |b application to guidance and navigation of unmanned aerial vehicles flying in a complex environment /  |c Jean-Philippe Condomines. 
264 1 |a Amsterdam :  |b Elsevier,  |c 2018. 
300 |a 1 online resource :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
505 0 |a <p>1. Introduction to Aerial Robotics 2. The State of the Art 3. Inertial Navigation Models 4. The IUKF and?-IUKF Algorithms 5. Methodological Validation, Experiments and Results </p> 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Drone aircraft. 
650 0 |a Drone aircraft  |x Control systems. 
650 0 |a Kalman filtering. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |a Condomines, Jean-Philippe.  |t Nonlinear kalman filter for multi-sensor navigation of unmanned aerial vehicle.  |d Amsterdam : Elsevier, 2018  |z 9781785482854  |w (OCoLC)1064439123 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpNKFMSNUF/nonlinear-kalman-filtering?kpromoter=marc  |y Full text 

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