Indoor localization has recently and significantly attracted the interest of the research
community mainly due to the fact that Global Navigation Satellite Systems (GNSSs) typically …

This paper surveys the most recent published techniques in the field of Simultaneous
Localization and Map** (SLAM). In particular it is focused on the existing techniques …

Feature matching is at the base of many computer vision problems, such as object
recognition or structure from motion. Current methods rely on costly descriptors for detection …

Visual place recognition is a challenging problem due to the vast range of ways in which the
appearance of real-world places can vary. In recent years, improvements in visual sensing …

The paper gives a snapshot of the state of the art in affine covariant region detectors, and
compares their performance on a set of test images under varying imaging conditions. Six …

Most newcomers to the field of linear stochastic estimation go through a difficult process in
understanding and applying the theory. This book minimizes the process while introducing …

Visual SLAM (simultaneous localization and map**) refers to the problem of using
images, as the only source of external information, in order to establish the position of a …

Visual place recognition is a challenging task for applications such as autonomous driving
navigation and mobile robot localization. Distracting elements presenting in complex scenes …

In this paper, we present incremental smoothing and map** (iSAM), which is a novel
approach to the simultaneous localization and map** problem that is based on fast …

Location-aware technologies will revolutionize many aspects of commercial, public service,
and military sectors, and are expected to spawn numerous unforeseen applications. A new …