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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 /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
Elsevier,
2018.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 003 | OCoLC | ||
| 005 | 20231120010327.0 | ||
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| 016 | 7 | |a 019026663 |2 Uk | |
| 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 | ||
| 050 | 4 | |a TL685.35 | |
| 072 | 7 | |a TEC |x 025000 |2 bisacsh | |
| 082 | 0 | 4 | |a 623.7469 |2 23 |
| 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 | ||
| 588 | 0 | |a Print version record. | |
| 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. | ||
| 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 | |a Drone aircraft. | |
| 650 | 0 | |a Drone aircraft |x Control systems. | |
| 650 | 0 | |a Kalman filtering. | |
| 650 | 6 | |a Drones. |0 (CaQQLa)201-0082295 | |
| 650 | 6 | |a Drones |x Syst�emes de commande. |0 (CaQQLa)201-0438978 | |
| 650 | 6 | |a Filtre de Kalman. |0 (CaQQLa)201-0012167 | |
| 650 | 7 | |a drone airplanes. |2 aat |0 (CStmoGRI)aat300374932 | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Military Science. |2 bisacsh | |
| 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://sciencedirect.uam.elogim.com/science/book/9781785482854 |z Texto completo |
| 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> | |