Jean-Philippe Condomines 
Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles [EPUB ebook] 
Application to Guidance and Navigation of Unmanned Aerial Vehicles Flying in a Complex Environment

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