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FastSLAM - A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics (Hardcover, 2007 ed.) Loot Price: R2,916
Discovery Miles 29 160
FastSLAM - A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics (Hardcover, 2007 ed.): Michael...

FastSLAM - A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics (Hardcover, 2007 ed.)

Michael Montemerlo, Sebastian Thrun

Series: Springer Tracts in Advanced Robotics, 27

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Loot Price R2,916 Discovery Miles 29 160 | Repayment Terms: R273 pm x 12*

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This monograph describes a new family of algorithms for the simultaneous localization and mapping (SLAM) problem in robotics, called FastSLAM. The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy, in a number of robot application domains and have been successfully applied in different dynamic environments, including a solution to the problem of people tracking.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Springer Tracts in Advanced Robotics, 27
Release date: 2007
First published: 2007
Authors: Michael Montemerlo • Sebastian Thrun
Dimensions: 235 x 155 x 10mm (L x W x T)
Format: Hardcover
Pages: 120
Edition: 2007 ed.
ISBN-13: 978-3-540-46399-3
Categories: Books > Science & Mathematics > Mathematics > Optimization > General
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
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LSN: 3-540-46399-2
Barcode: 9783540463993

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