Recognizing when a robot is navigating in a previously visited location, known as loop
closure detection, constitutes an essential task within any simultaneous localization and …

Simultaneous localization and mapping (SLAM) refers to a process that permits a mobile
robot to build up a map of the environment and, at the same time, to use it to compute its …

Loop-closure detection (LCD) has become an essential part of any simultaneous
localization and mapping (SLAM) framework. It provides a means to rectify the drift error …

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 …

Simultaneous Localization and Mapping (SLAM) is vital for modern autonomous robots.
Visual place recognition of pre-visited areas, widely known as Loop Closure Detection …

An important problem in robot simultaneous localization and mapping (SLAM) is loop
closure detection. Recent studies of the problem have led to successful development of …

Aiming to recognize familiar places through the camera measurements during a robot's
autonomous mission, visual loop-closure pipelines are developed for navigation …

When constructing a map of an unknown environment, it is important to be able to recognise
when you have encountered a previously visited area. In visual simultaneous localisation …

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

Loop closure detection is a vital aspect of simultaneous localization and mapping (SLAM)
and plays a very crucial role in minimizing cumulative mistakes. The hostile and …