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
by Jean-Philippe Condomines /
2018 / English / PDF
8.8 MB Download
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
