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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

Name: 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
ISBN: 9781785482854

Condomines, Jean-Philippe

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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.