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 ['Condomines, Jean-Philippe']
Type de matériel :
TexteÉditeur : ISTE Press - Elsevier 2018Description : pType de contenu : - 9781785482854
Nous n'avons pas d'exemplaire de ce document
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
Réseaux sociaux