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Loop Closure Detection

Loop closure detection is the process of detecting whether an agent has returned to a previously visited location.

( Image credit: Backtracking Regression Forests for Accurate Camera Relocalization )

Papers

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Showing 21–30 of 89 papers

TitleStatusHype
Place Recognition in Forests with Urquhart TessellationsCode1
On the descriptive power of LiDAR intensity images for segment-based loop closing in 3-D SLAMCode1
ForestLPR: LiDAR Place Recognition in Forests Attentioning Multiple BEV Density ImagesCode1
Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes—0
Exploring Emerging Trends and Research Opportunities in Visual Place Recognition—0
Bi-directional Loop Closure for Visual SLAM—0
Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry—0
Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization—0
Beyond SIFT using Binary features for Loop Closure Detection—0
DSC: Deep Scan Context Descriptor for Large-Scale Place Recognition—0
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