Jean-Philippe Condomines
Elsevier Science
e druk, 2018
9781785482854
Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles
Application to Guidance and Navigation of Unmanned Aerial Vehicles Flying in a Complex Environment
Specificaties
Gebonden, blz.
|
Engels
Elsevier Science |
e druk, 2018
ISBN13: 9781785482854
Rubricering
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
Inhoudsopgave
<p>1. Introduction to Aerial Robotics<br>2. The State of the Art<br>3. Inertial Navigation Models<br>4. The IUKF and π-IUKF Algorithms<br>5. Methodological Validation, Experiments and Results<br></p>
