| Record ID | marc_columbia/Columbia-extract-20221130-033.mrc:8981715:3216 |
| Source | marc_columbia |
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LEADER: 03216cam a2200601 i 4500
001 16056688
005 20220326224323.0
006 m o d
007 cr cnu---unuuu
008 181119s2018 ne a ob 001 0 eng d
035 $a(OCoLC)on1066247979
035 $a(NNC)16056688
040 $aN$T$beng$erda$epn$cN$T$dN$T$dOPELS$dOCLCF$dUKMGB$dYDX$dCNCGM$dSTF$dMERER$dOCLCQ$dU3W$dESU$dWAU$dS2H$dOCLCO$dERD$dOCLCQ$dOCLCO
066 $c(S
015 $aGBB8F5689$2bnb
016 7 $a019026663$2Uk
020 $a9780081027448$q(electronic bk.)
020 $a0081027443$q(electronic bk.)
020 $a9781785482854$q(electronic bk.)
020 $a1785482858$q(electronic bk.)
035 $a(OCoLC)1066247979
037 $a9780081027448$bIngram Content Group
050 4 $aTL685.35
072 7 $aTEC$x025000$2bisacsh
082 04 $a623.7469$223
049 $aZCUA
100 1 $aCondomines, Jean-Philippe,$eauthor.
245 10 $aNonlinear kalman filtering for multi-sensor navigation of unmanned aerial vehicles :$bapplication to guidance and navigation of unmanned aerial vehicles flying in a complex environment /$cJean-Philippe Condomines.
264 1 $aAmsterdam :$bElsevier,$c2018.
300 $a1 online resource :$billustrations (some color)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
588 0 $aPrint version record.
504 $aIncludes bibliographical references and index.
520 $aNonlinear 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>
650 0 $aDrone aircraft.
650 0 $aDrone aircraft$xControl systems.
650 0 $aKalman filtering.
650 6 $aDrones.
650 6 $aDrones$xSystèmes de commande.
650 6 $aFiltre de Kalman.
650 7 $adrone airplanes.$2aat
650 7 $aTECHNOLOGY & ENGINEERING$xMilitary Science.$2bisacsh
650 7 $aDrone aircraft.$2fast$0(OCoLC)fst00898349
650 7 $aDrone aircraft$xControl systems.$2fast$0(OCoLC)fst00898350
650 7 $aKalman filtering.$2fast$0(OCoLC)fst00985838
655 4 $aElectronic books.
776 08 $iPrint version:$aCondomines, Jean-Philippe.$tNonlinear kalman filter for multi-sensor navigation of unmanned aerial vehicle.$dAmsterdam : Elsevier, 2018$z9781785482854$w(OCoLC)1064439123
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio16056688$zACADEMIC - Aerospace & Radar Technology
880 0 $6505-00/(S$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>
852 8 $blweb$hEBOOKS