Nonlinear Kalman Filtering for Multi-Sensor Navigation of Unmanned Aerial Vehicles: Application to Guidance & Navigation of Unmanned Aerial Vehicles Flying in a Complex Environment
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ISBN: 9781785482854
Author/Editor: Jean-Philippe Condomines
Publisher: Elsevier
Year: 2018
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Description
Nonlinear Kalman Filter 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.
Additional information
| Weight | 0.53 kg |
|---|
Product Properties
| Year of Publication | 2018 |
|---|---|
| Table of Contents | 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 |
| Author | Jean-Philippe Condomines |
| ISBN/ISSN | 9781785482854 |
| Binding | Hardback |
| Edition | 1 |
| Publisher | Elsevier |
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