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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
