This paper is intended to pave the way for new researchers in the field of robotics and
autonomous systems, particularly those who are interested in robot localization and …

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 …

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 …

Nowadays, the field of mobile robotics is experiencing a quick evolution, and a variety of
autonomous vehicles is available to solve different tasks. The advances in computer vision …

Abstract Visual Place Recognition (VPR) is often characterized as being able to recognize
the same place despite significant changes in appearance and viewpoint. VPR is a key …

The evolution of contemporary mobile robotics has given thrust to a series of additional
conjunct technologies. Of such is the semantic map**, which provides an abstraction of …

We present a novel graph-structured memory for visual navigation, called visual graph
memory (VGM), which consists of unsupervised image representations obtained from …

This paper describes a new system, dubbed Continuous Appearance-based Trajectory
Simultaneous Localisation and Map** (CAT-SLAM), which augments sequential …

Visual place recognition is challenging, especially when only a few place exemplars are
given. To mitigate the challenge, we consider place recognition method using …

Most approaches to robot localization rely on low-level geometric features such as points,
lines, and planes. In this paper, we use object recognition to obtain semantic information …