Nonlinear kalman filtering 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.
Nonlinear Kalman Filtering 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.
Contents
<p>1. Introduction to Aerial Robotics 2. The State of the Art 3. Inertial Navigation Models 4. The IUKF and?-IUKF Algorithms 5. Methodological Validation, Experiments and Results </p>
