We review the use of factor graphs for the modeling and solving of large-scale inference
problems in robotics. Factor graphs are a family of probabilistic graphical models, other …

The indoor positioning system (IPS) is becoming increasing important in accurately
determining the locations of objects by the utilization of micro-electro-mechanical-systems …

In this paper, we propose a survey of the Simultaneous Localization And Mapping (SLAM)
field when considering the recent evolution of autonomous driving. The growing interest …

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 …

Abstract Simultaneous Localization and Mapping (SLAM) is a key problem in the field of
Artificial Intelligence and mobile robotics that addresses the problem of localization and …

The Simultaneous Localization and Mapping (SLAM) technique has achieved astonishing
progress over the last few decades and has generated considerable interest in the …

The aim of this paper is to provide a global overview of mobile robot control and navigation
methodologies developed over the last decades. Mobile robots have been a substantial …

Robots that can move autonomously and can make intelligent decisions by perceiving their
environments and surrounding objects are known as autonomous mobile robots. Such …

Simultaneous localization and mapping (SLAM) in unknown GPS‐denied environments is a
major challenge for researchers in the field of mobile robotics. Many solutions for single …

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