Simultaneous Localization and Mapping: Exactly Sparse Information Filters by ZHAN WANGSimultaneous Localization and Mapping: Exactly Sparse Information Filters by ZHAN WANG

Simultaneous Localization and Mapping: Exactly Sparse Information Filters

byZHAN WANG

Hardcover | June 2, 2011

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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.
Title:Simultaneous Localization and Mapping: Exactly Sparse Information FiltersFormat:HardcoverDimensions:208 pages, 9.41 × 7.24 × 0.98 inPublished:June 2, 2011Publisher:World Scientific PublishingLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:9814350311

ISBN - 13:9789814350310

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