Unused, some outer edges have minor scuffs, cover has light scratches, some outer pages have marks from shelf wear, book content is in like new condition.

N� de ref. del art�culo 098625-5

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Detalles bibliogr�ficos

T�tulo

Using Inertial Sensors for Position and Orientation Estimation (Foundations and Trends in Signal Processing): 28 [Paperback] Kok, Manon; Hol, Jeroen D. and Sch�n, Thomas B.

Editor

Now Publishers

Fecha de publicaci�n

2017

Idioma

Ingl�s

ISBN 10

1680833561

ISBN 13

9781680833560

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

Very Good

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Sinopsis

Microelectromechanical system (MEMS) inertial sensors have become ubiquitous in modern society. Built into mobile telephones, gaming consoles, virtual reality headsets, we use such sensors on a daily basis. They also have applications in medical therapy devices, motion-capture filming, traffic monitoring systems, and drones. While providing accurate measurements over short time scales, this diminishes over longer periods. To date, this problem has been resolved by combining them with additional sensors and models. This adds both expense and size to the devices.

This tutorial focuses on the signal processing aspects of position and orientation estimation using inertial sensors. It discusses different modelling choices and a selected number of important algorithms that engineers can use to select the best options for their designs. The algorithms include optimization-based smoothing and filtering as well as computationally cheaper extended Kalman filter and complementary filter implementations.

Engineers, researchers, and students deploying MEMS inertial sensors will find that this tutorial is an essential monograph on how to optimize their designs.

Rese�a del editor

Engineers, researchers, and students deploying MEMS inertial sensors will find that this tutorial is an essential monograph on how to optimize their designs.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

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