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 article provides a comprehensive introduction into the simultaneous localization and
mapping problem, better known in its abbreviated form as SLAM. SLAM addresses the …

Simultaneous Localization and Mapping (SLAM) and Visual SLAM (V-SLAM) in particular
have been an active area of research lately. In V-SLAM the main focus is most often laid on …

Multi-robot mapping and environment modeling have several advantages that make it an
attractive alternative to the mapping with a single robot: faster exploration, higher fault …

In this chapter we describe popular ways to represent the environment of a mobile robot. For
indoor environments, which are often stored using two-dimensional representations, we …

Large indoor cluttered environment representation is still a challenging task when non-
uniform triangle cell-based or quadrangle cell-based decomposition is used to build the …

One important design decision for the development of autonomously navigating mobile
robots is the choice of the representation of the environment. This includes the question of …

This paper presents a new approach to matching occupancy grid maps by means of finding
correspondences between a set of sparse features detected in the maps. The problem is …

This paper addresses the problem of environment representation for Simultaneous
Localization and Mapping (SLAM) algorithms. One of the main problems of SLAM is how to …

We present a hybrid SLAM system for marine environments that combines cubic splines to
represent the trajectories of dynamic objects, point features to represent stationary objects …