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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 (Hardcover) Loot Price: R2,541
Discovery Miles 25 410
Repayment Terms: R238 pm x 12*
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Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles - Application to Guidance and Navigation of...

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 (Hardcover)

Jean-Philippe Condomines

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Loot Price R2,541 Discovery Miles 25 410 | Repayment Terms: R238 pm x 12*

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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.

General

Imprint: ISTE Press Ltd - Elsevier Inc
Country of origin: United Kingdom
Release date: November 2018
First published: 2019
Authors: Jean-Philippe Condomines
Dimensions: 229 x 152mm (L x W)
Format: Hardcover
Pages: 254
ISBN-13: 978-1-78548-285-4
Categories: Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General
Books > Professional & Technical > Transport technology > Aerospace & aviation technology > General
LSN: 1-78548-285-8
Barcode: 9781785482854

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