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

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.

1. Introduction to Aerial Robotics 2. The State of the Art 3. Inertial Navigation Models 4. The IUKF and π-IUKF Algorithms 5. Methodological Validation, Experiments and Results