Simultaneous Localization And Mapping: Exactly Sparse Information Filters - Wang, Zhan (Univ Of Technology, Australia) a Huang, Shoudong (Univ Of Technology, Australia) a Dissanayake, Gamini (Univ Of Technology, Australia)

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 deals with computationally efficient solutions to the large scale SLAM problems using exactly sparse Extended Information Filters (EIF).