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Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles - Application to Guidance and Navigation of... 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 (Hardcover)
Jean-Philippe Condomines
R2,541 Discovery Miles 25 410 Ships in 12 - 17 working days

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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