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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

Jean-Philippe Condomines

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Engelsk

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Beskrivelse

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

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Detaljer

SprogEngelsk
Sidetal254
Udgivelsesdato14-11-2018
ISBN139780081027448
Forlag Elsevier Science
FormatePub

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

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