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

Describes the state-of-the-art of recent Kalman filtering technics and introduces a new algorithm solution for unmanned aerial vehicles

Jean-Philippe Condomines (Author)

9781785482854, Elsevier Science

Hardback, published 8 November 2018

254 pages
22.9 x 15.1 x 2.1 cm, 0.53 kg

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.

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

Subject Areas: Civil engineering, surveying & building [TN], Electronics engineering [TJF]