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 (1)

1 ENAC - Ecole Nationale de l'Aviation Civile

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

Domaines: Automatique / Robotique

Jean-Philippe Condomines. 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. ISTE Press, 2018, 978-1785482854. ⟨hal-01931087⟩