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...
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| Online Access: |
Full Text (via Knovel) |
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| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Amsterdam :
Elsevier,
2018.
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| Subjects: |
| Summary: | 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. |
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| Physical Description: | 1 online resource : illustrations (some color) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780081027448 0081027443 9781785482854 1785482858 |
| Source of Description, Etc. Note: | Print version record. |