Nonlinear Kalman Filter for Multi Sensor Navigation of Unmanned Aerial Vehicles
  • Release Date : 14 November 2018
  • Publisher : Elsevier
  • Categories : Technology & Engineering
  • Pages : 254 pages
  • ISBN 13 : 9780081027448
  • ISBN 10 : 0081027443
Score: 4
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Synopsis : Nonlinear Kalman Filter for Multi Sensor Navigation of Unmanned Aerial Vehicles written by Jean-Philippe Condomines, published by Elsevier which was released on 14 November 2018. Download Nonlinear Kalman Filter for Multi Sensor Navigation of Unmanned Aerial Vehicles Books now! Available in PDF, EPUB, Mobi Format. 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