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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

  • 1st Edition - November 8, 2018
  • Author: Jean-Philippe Condomines
  • Language: English
  • Hardback ISBN:
    9 7 8 - 1 - 7 8 5 4 8 - 2 8 5 - 4
  • eBook ISBN:
    9 7 8 - 0 - 0 8 - 1 0 2 7 4 4 - 8

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… Read more

Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles

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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.