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

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

Condomines, Jean-Philippe

105,04 €(IVA inc.)

The scientific field of this book is related to state estimation development approaches for Mini-UAV. A focus is done to the field of Kalman filtering technics for UAV design. A new design methodology is proposed and a case study related to inertial navigation system for drone is introduced. Both simulation and real experiment results are presented and show promising perspectives Gives a state estimation development approach for mini-UAVsExplain Kalman filtering techniquesIntroduce a new design methodIntroduce cases related to the inertial navigation system of drones INDICE: 1. Background of the book 2. State of the art 3. Models for inertial navigation 4. IUKF / pi-IUKF algorithms 5. Methodological validation, experiments and results

  • ISBN: 978-1-78548-285-4
  • Editorial: ISTE Press - Elsevier
  • Encuadernacion: Cartoné
  • Páginas: 200
  • Fecha Publicación: 01/12/2018
  • Nº Volúmenes: 1
  • Idioma: Inglés