Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles
Application to Guidance and Navigation of Unmanned Aerial Vehicles Flying in a Complex EnvironmentNonlinear 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 ISBN: 9781785482854, 1785482858
