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 / Jean-Philippe Condomines.

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...

Full description

Saved in:
Bibliographic Details
Online Access: Full Text (via Knovel)
Main Author: Condomines, Jean-Philippe, 1987- (Author)
Format: eBook
Language:English
Published: Amsterdam : Elsevier, 2018.
Subjects:

MARC

LEADER 00000cam a2200000xi 4500
001 b10808608
003 CoU
005 20191011050231.9
006 m o d
007 cr |||||||||||
008 181119s2018 ne a ob 001 0 eng d
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)kno1066247979 
035 |a (OCoLC)1066247979 
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 
049 |a GWRE 
050 4 |a TL685.35 
066 |c (S 
100 1 |a Condomines, Jean-Philippe,  |d 1987-  |e author.  |0 http://id.loc.gov/authorities/names/no2019035921. 
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. 
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. 
588 0 |a Print version record. 
650 0 |a Drone aircraft.  |0 http://id.loc.gov/authorities/subjects/sh85039623. 
650 0 |a Drone aircraft  |x Control systems.  |0 http://id.loc.gov/authorities/subjects/sh2002000348. 
650 0 |a Kalman filtering.  |0 http://id.loc.gov/authorities/subjects/sh85071360. 
650 7 |a Drone aircraft.  |2 fast  |0 (OCoLC)fst00898349. 
650 7 |a Drone aircraft  |x Control systems.  |2 fast  |0 (OCoLC)fst00898350. 
650 7 |a Kalman filtering.  |2 fast  |0 (OCoLC)fst00985838. 
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://colorado.idm.oclc.org/login?url=https://app.knovel.com/hotlink/toc/id:kpNKFMSNUF/nonlinear-kalman-filtering?kpromoter=marc  |z Full Text (via Knovel) 
880 0 |6 505-00/(S  |a <p>1. Introduction to Aerial Robotics 2. The State of the Art 3. Inertial Navigation Models 4. The IUKF and π-IUKF Algorithms 5. Methodological Validation, Experiments and Results </p> 
907 |a .b108086082  |b 03-19-20  |c 10-15-19 
998 |a web  |b 10-31-19  |c b  |d b   |e -  |f eng  |g ne   |h 0  |i 1 
907 |a .b108086082  |b 11-04-19  |c 10-15-19 
944 |a MARS - RDA ENRICHED 
915 |a I 
956 |a Knovel 
956 |b ACADEMIC - Aerospace & Radar Technology 
999 f f |i 67814747-7359-5cd9-8bc0-d9f5c80a9cde  |s 89da3e7b-f589-551d-bf15-65193355dd7a 
952 f f |p Can circulate  |a University of Colorado Boulder  |b Online  |c Online  |d Online  |e TL685.35  |h Library of Congress classification  |i web  |n 1