Nonlinear State Estimation

Application to Guidance and Navigation of Unmanned Aerial Vehicles Flying in a Complex Envir

By: Condomines

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Hardcover | 8 November 2018 | Edition Number 1

At a Glance

Hardcover
254 Pages

Dimensions(cm)
22.86 x 15.88 x 1.91

Hardcover

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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.

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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