Simultaneous Localization And Mapping: Exactly Sparse Information Filters PDF
by Wang Zhan Wang, Huang Shoudong Huang, Dissanayake Gamini Dissanayake
Part of the New Frontiers In Robotics series
Description
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.
Information
-
Download - Immediately Available
- Format:PDF
- Pages:208 pages
- Publisher:World Scientific Publishing Company
- Publication Date:31/05/2011
- Category:
- ISBN:9789814460484
Information
-
Download - Immediately Available
- Format:PDF
- Pages:208 pages
- Publisher:World Scientific Publishing Company
- Publication Date:31/05/2011
- Category:
- ISBN:9789814460484
