This paper discusses the recursive Bayesian formulation of the simultaneous localization
and mapping (SLAM) problem in which probability distributions or estimates of absolute or …

This paper describes a full probabilistic solution to the Simultaneous Localisation and
Mapping (SLAM) problem. Previously, the SLAM problem could only be solved in real time …

This paper describes the simultaneous localization and mapping (SLAM) problem and the
essential methods for solving the SLAM problem and summarizes key implementations and …

One of the greatest obstacles to the use of Simultaneous Localization And Mapping (SLAM)
in a real-world environment is the need to maintain the full correlation structure between the …

Simultaneous localization, mapping and moving object tracking (SLAMMOT) involves both
simultaneous localization and mapping (SLAM) in dynamic environments and detecting and …

This paper proposes an integrated Bayesian frame work for feature-based simultaneous
localization and map building (SLAM) in the general case of uncertain feature number and …

The paper analyzes the properties of the full covariance simultaneous localization and map
building problem (SLAM). We prove that, even for the special case of a stationary vehicle …

We present a lazy data association algorithm for the simultaneous localization and mapping
(SLAM) problem. Our approach uses a tree-structured Bayesian representation of map …

The number of research publications dealing with the simultaneous localization and
mapping problem has grown significantly over the past 15 years. Many fundamental and …

As mobile robots become more common in general knowledge and practices, as opposed to
simply in research labs, there is an increased need for the introduction and methods to …