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