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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
Jean-Philippe Condomines
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.
- Gives a state estimation development approach for mini-UAVs
- Explains Kalman filtering techniques
- Introduce a new design method for unmanned aerial vehicles
- Introduce cases relating to the inertial navigation system of drones
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