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 …

As loop-closure detection plays a fundamental role in any simultaneous localization and
mapping (SLAM) system, through its ability to recognize previously visited locations, one of …

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

Loop closure detection helps simultaneous localization and mapping systems reduce map
and state uncertainty via recognizing previously visited places along the path of a mobile …

Visual Loop Detection (VLD) is a core component of any Visual Simultaneous Localization
and Mapping (SLAM) system, and its goal is to determine if the robot has returned to a …

If we have been there before, we realize that viewing a single photograph is sufficient to
understand where the picture was captured. This fact highlights the impact of appearance …

Navigating in a perpetually changing world can provide the basis for numerous challenging
autonomous robotic applications. With a view to long-term autonomy, visual place …

Loop closure detection (LCD) is an essential part of the visual SLAM system, which can
reduce the cumulative error caused by drift. LCD based on traditional methods adopts …

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 …