logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Nonlinear Kalman Filtering For Multisensor Navigation Of Unmanned Aerial Vehicles Application To Guidance And Navigation Of Unmanned Aerial Vehicles Flying In A Complex Environment Condomines

  • SKU: BELL-9972708
Nonlinear Kalman Filtering For Multisensor Navigation Of Unmanned Aerial Vehicles Application To Guidance And Navigation Of Unmanned Aerial Vehicles Flying In A Complex Environment Condomines
$ 31.00 $ 45.00 (-31%)

4.1

60 reviews

Nonlinear Kalman Filtering For Multisensor Navigation Of Unmanned Aerial Vehicles Application To Guidance And Navigation Of Unmanned Aerial Vehicles Flying In A Complex Environment Condomines instant download after payment.

Publisher: ISTE Press
File Extension: PDF
File size: 8.82 MB
Pages: 239
Author: Condomines, Jean-Philippe
ISBN: 9781785482854, 1785482858
Language: English
Year: 2018

Product desciption

Nonlinear Kalman Filtering For Multisensor Navigation Of Unmanned Aerial Vehicles Application To Guidance And Navigation Of Unmanned Aerial Vehicles Flying In A Complex Environment Condomines by Condomines, Jean-philippe 9781785482854, 1785482858 instant download after payment.

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

Related Products