Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles PDF Download

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Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles

Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles PDF Author: Jean-Philippe Condomines
Publisher: Elsevier
ISBN: 0081027443
Category : Technology & Engineering
Languages : en
Pages : 256

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Book Description
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