Simultaneous Localization And Mapping: Exactly Sparse Information Filters
Saved in:
| Title: | Simultaneous Localization And Mapping: Exactly Sparse Information Filters |
|---|---|
| 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. |
| Authors: | Zhan Wang, Shoudong Huang, Gamini Dissanayake |
| Resource Type: | eBook. |
| Subjects: | Robotics, Mappings (Mathematics), Mobile robots, Robots--Control systems, Sparse matrices |
| Categories: | COMPUTERS / Artificial Intelligence / General, COMPUTERS / Programming / Algorithms, TECHNOLOGY & ENGINEERING / Robotics |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | 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. |
|---|---|
| ISBN: | 9789814350310 9789814350327 |
