Simultaneous Localization and Mapping
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Book Overview Simultaneous localization and mapping (SLAM) is a process where an autonomous vehicle builds a map of an unknown environment while concur...
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.
Book Details Format: Hardcover | Pages: 194 | Language: English | Publisher: WORLD SCIENTIFIC PUB CO INC | ISBN: 9814350311
FormatHardcover
Pages194
LanguageEnglish
ISBN9814350311
EAN9789814350310
PublisherWORLD SCIENTIFIC PUB CO INC
Publication Date1970-01-01
Edition6
AccessoriesNo Accessory
ConditionNew
Product TypeHARD COVER BOOKS
Weight0.95 Pounds
Length9.1 Inches
Width6.3 Inches
Height0.8 Inches
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