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

Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …

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

We present a novel real-time monocular SLAM system which can robustly work in dynamic
environments. Different to the traditional methods, our system allows parts of the scene to be …

This paper reports a real-time monocular visual simultaneous localization and map**
(SLAM) algorithm and results for its application in the area of autonomous underwater ship …

Topological maps model the environment as a graph, where nodes are distinctive places of
the environment and edges indicate topological relationships between them. They represent …

Appearance-based loop closure techniques, which leverage the high information content of
visual images and can be used independently of pose, are now widely used in robotic …

A key feature in the context of simultaneous localization and map** is loop-closure
detection, a process determining whether the current robot's environment perception …

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

In robotics applications such as SLAM (Simultaneous Localization and Map**), loop
closure detection is an integral component required to build a consistent topological or …