Nonlinear Kalman Filter For Multi-sensor Navigation Of Unmanned Aerial Vehicle
Tags: Jean-Philippe Condomines

Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicle 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