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-UAVsExplains Kalman filtering techniquesIntroduce a new design method for unmanned aerial vehiclesIntroduce cases relating to the inertial navigation system of drones
