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Simultaneous localization and mappin...

Dissanayake, Gamini.

Simultaneous localization and mappingexactly sparse information filters /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Simultaneous localization and mappingZhan Wang, Shoudong Huang, Gamini Dissanayake.
Reminder of title:	exactly sparse information filters /
Author:	Wang, Zhan.
other author:	Dissanayake, Gamini.
Published:	Singapore ;World Scientific Pub. Co.,c2011.
Description:	xii, 194 p. :ill. (some col.)
Subject:	RobotsControl systems.
Online resource:	http://www.worldscientific.com/worldscibooks/10.1142/8145#t=toc
ISBN:	9789814350327 (electronic bk.)

Simultaneous localization and mappingexactly sparse information filters /
Wang, Zhan.

Simultaneous localization and mappingexactly sparse information filters /[electronic resource] :Zhan Wang, Shoudong Huang, Gamini Dissanayake. - Singapore ;World Scientific Pub. Co.,c2011. - xii, 194 p. :ill. (some col.) - New frontiers in robotics ;v. 3. - New frontiers in robotics ;v. 3..

Includes bibliographical references (p. 189-194).

Simultaneous localization and mapping (SLAM) is a process where an autonomous vehicle builds a map of an unknown environment while concurrently generating an estimate for its location. This book is concerned with computationally efficient solutions to the large scale SLAM problems using exactly sparse Extended Information Filters (EIF). The invaluable book also provides a comprehensive theoretical analysis of the properties of the information matrix in EIF-based algorithms for SLAM. Three exactly sparse information filters for SLAM are described in detail, together with two efficient and exact methods for recovering the state vector and the covariance matrix. Proposed algorithms are extensively evaluated both in simulation and through experiments.

Electronic reproduction.
Singapore :
World Scientific Publishing Co.,
2011.

System requirements: Adobe Acrobat Reader.

ISBN: 9789814350327 (electronic bk.)Subjects--Topical Terms:

182098
Robots
--Control systems.

LC Class. No.: TJ211.4

Dewey Class. No.: 629.892

Simultaneous localization and mappingexactly sparse information filters /
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300 $a xii, 194 p. : $b ill. (some col.)
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504 $a Includes bibliographical references (p. 189-194).
520 $a Simultaneous localization and mapping (SLAM) is a process where an autonomous vehicle builds a map of an unknown environment while concurrently generating an estimate for its location. This book is concerned with computationally efficient solutions to the large scale SLAM problems using exactly sparse Extended Information Filters (EIF). The invaluable book also provides a comprehensive theoretical analysis of the properties of the information matrix in EIF-based algorithms for SLAM. Three exactly sparse information filters for SLAM are described in detail, together with two efficient and exact methods for recovering the state vector and the covariance matrix. Proposed algorithms are extensively evaluated both in simulation and through experiments.
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650 0 $a Robots $x Control systems. $3 182098
650 0 $a Mappings (Mathematics) $3 338109
650 0 $a Mobile robots $x Design and construction. $3 338742
650 0 $a Robotics. $3 181952
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700 1 $a Huang, Shoudong. $3 575133
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