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Nonlinear State Estimation : Application to Guidance and Navigation of Unmanned Aerial Vehicles Flying in a Complex Envir - Condomines

Nonlinear State Estimation

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

By: Condomines

Hardcover | 8 November 2018 | Edition Number 1

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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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