Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Simultaneous Localization and Mapping: Exactly Sparse Information Filters

Simultaneous Localization and Mapping: Exactly Sparse Information Filters

Wang, Zhan
Huang, Shoudong
Dissanayake, Gamini

Hardcover

Series: New Frontiers in Robotics, Book 3

Technology & EngineeringGeneral ComputersProgramming

ISBN10: 9814350311
ISBN13: 9789814350310
Publisher: World Scientific Publishing Company
Published: Jun 2 2011
Pages: 208
Weight: 0.95
Height: 0.80 Width: 6.30 Depth: 9.10
Language: English
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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