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 de

Éditeur :

Iste Press - Elsevier


Paru le : 2018-11-14

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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
Pages
254 pages
Collection
n.c
Parution
2018-11-14
Marque
Iste Press - Elsevier
EAN papier
9781785482854
EAN EPUB SANS DRM
9780081027448

Informations sur l'ebook
Prix
101,23 €

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